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38095971

Prospective examination of mechanisms linking minority stress and anxious/depressed affect at the event level: The roles of emotion regulation strategies and proximal minority stressors.

While studies have linked sexual minority stress with anxious/depressed affect, few studies have prospectively examined how mechanistic processes linking minority stress and anxious/depressed affect unfold in near-real time. Furthermore, studies of mechanisms have focused exclusively on rumination and proximal minority stressors (e.g., internalized stigma). This limits our understanding of other potential mechanisms, such as decreases in the use of reappraisal and reflection, strategies associated with reducing anxious/depressed affect.

38095972

Daily prediction of inpatient suicide attempts using routinely collected theory-driven data.

We lack knowledge about the short-term predictors of suicide attempts (SAs) among treatment-seeking individuals. The current study evaluated whether (a) interpersonal difficulties, hopelessness, and affective states are associated with an increased risk of SAs on the same and the next day; (b) these daily states are interconnected differently over time among inpatients who attempt suicide compared to those who do not. In total, 110 psychiatric inpatients who attempted suicide during their stay at a psychiatric hospital self-reported their suicidal ideation, negative affect, positive affect, wish to live, interpersonal needs, and hopelessness each day (3,018 daily reports). Multilevel structural equation modeling was used to examine same-day and next-day predictors of SAs. Multilevel temporal network models assessed interconnectedness between daily predictors and were compared to network models from a matched sample of 110 psychiatric inpatients who did not attempt suicide. In multivariate models, increases in perceived burdensomeness were significantly associated with same-day SAs, whereas increased hopelessness was associated with next-day SAs. Network models for patients who attempted suicide indicated that hopelessness and suicidal ideation were central to change, leading to next-day deteriorations in mental health. In subsequent models, feeling calm and relaxed, and feeling fresh and rested were centrally connected to other variables. The centrality of these metrics tended to be higher than in the network models for patients who did not attempt suicide, suggesting differences in the interplay between risk and protective factors. This study suggests routinely monitoring interpersonal factors and hopelessness may help identify increased short-term risk of SAs among psychiatric inpatients. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

38095973

Prospective bidirectional relations between depression and metabolic health: 30-year follow-up from the National Heart, Lung, and Blood Institute (NHLBI) Coronary Artery Disease in Young Adults (CARDIA) study.

This study investigated prospective bidirectional relationships between depressive symptoms and metabolic syndrome (MetS) and the moderating effects of race, sex, and health behaviors in a diverse cohort followed for 30 years.

38095974

Do friends get under the skin?: Everyday social encounters and cardiovascular functioning among Black and White adults in the United States.

Studies have shown that contact with friends enhances emotional health, but little is known about whether friends influence cardiovascular health. This study investigated (a) whether encounters with friends and the quality of these encounters were associated with cardiovascular reactivity in everyday life and (b) whether these associations varied by race.

38095975

Intra verses extra familial sexual abuse in the Orthodox Jewish community as reported by mental health professionals.

While the prevalence rates of sexual abuse (SA) in the Orthodox Jewish (OJ) community appear to be similar to that of the general population, community insularity has made it difficult to obtain more detailed information about the context of SA occurring. The aim of this study was to gather more detailed information regarding the occurrence of SA within the OJ community.

38095976

The dynamic relationship of negative emotional content in the context of trauma-focused writing interventions on improvements in cognitive reappraisal: A pilot study.

Writing about traumatic experiences is beneficial for the reduction of posttraumatic stress symptoms, yet little research has examined the linguistic content of trauma-focused writing interventions. The current pilot study had two aims (a) characterize changes in linguistic features in two trauma-focused writing interventions; and (b) examine how changes in linguistic content may be associated with proposed mechanisms of change in trauma treatment (i.e., emotion regulation, cognitive reappraisal, and experiential avoidance).

38095977

Confirmatory factor analysis of the 12-item World Health Organization Disability Assessment Schedule 2.0 (WHODAS-2.0) within the clubhouse model of psychosocial rehabilitation for serious mental illness.

The Clubhouse model (CM) for serious mental illness is a recovery-oriented and member-driven program that aims to facilitate functional recovery. Efficacy evaluation of the CM is limited by lack of uniform functional disability assessment. The World Health Organization Disability Assessment Schedule 2.0 (WHODAS-2.0) is a widely accepted measure of functional disability, but its psychometric properties have yet to be examined within the CM.

38095978

Unidimensional versus multidimensional: A bifactor factor structure of the Self-Stigma Scale-Short (SSS-S) among U.S. adults with psychiatric disabilities.

This study aimed to examine the psychometric properties of the English version of the Self-Stigma Scale-Short (SSS-S), a nine-item self-report self-stigma measurement, among U.S. adults with psychiatric disabilities.

38095979

Development and evaluation of a webinar to reduce stigma toward people with serious mental illness.

This study involved the development, dissemination, and pre- and postassessment of a mental illness awareness webinar. The goal of the webinar is to educate the general public about serious mental illness (SMI) and reduce stigmatizing attitudes.

38095980

Community as therapy: The theory of social practice.

Though the efficacy of the Clubhouse model's interventions and practices in supporting recovery from serious mental illness (SMI) have been demonstrated by prior research, the causal mechanisms and theory driving these outcomes have yet to be comprehensively defined. This theory article aims to synthesize existing knowledge of these methods to define a unified theory of social practice, outline its role in SMI recovery, and discuss future implications.

38095981

Can speech perception deficits cause phonological impairments? Evidence from short-term memory for ambiguous speech.

Poor performance on phonological tasks is characteristic of neurodevelopmental language disorders (dyslexia and/or developmental language disorder). Perceptual deficit accounts attribute phonological dysfunction to lower-level deficits in speech-sound processing. However, a causal pathway from speech perception to phonological performance has not been established. We assessed this relationship in typical adults by experimentally disrupting speech-sound discrimination in a phonological short-term memory (pSTM) task. We used an automated audio-morphing method (Rogers &amp; Davis, 2017) to create ambiguous intermediate syllables between 16 letter name-letter name ("B"-"P") and letter name-word ("B"-"we") pairs. High- and low-ambiguity syllables were used in a pSTM task in which participants (<i>N</i> = 36) recalled six- and eight-letter name sequences. Low-ambiguity sequences were better recalled than high-ambiguity sequences, for letter name-letter name but not letter name-word morphed syllables. A further experiment replicated this ambiguity cost (<i>N</i> = 26), but failed to show retroactive or prospective effects for mixed high- and low-ambiguity sequences, in contrast to pSTM findings for speech-in-noise (SiN; Guang et al., 2020; Rabbitt, 1968). These experiments show that ambiguous speech sounds impair pSTM, via a different mechanism to SiN recall. We further show that the effect of ambiguous speech on recall is context-specific, limited, and does not transfer to recall of nonconfusable items. This indicates that speech perception deficits are not a plausible cause of pSTM difficulties in language disorders. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

38095982

Too old to be a diversity hire: Choice bundling shown to increase gender-diverse hiring decisions fails to increase age diversity.

Past research has shown that people are more likely to make the decision to hire candidates whose gender would increase group diversity when making multiple hiring choices in a bundle (i.e., when selecting multiple team members simultaneously) compared to making choices in isolation (i.e., when selecting a single team member). However, it is unclear if this bundling effect extends to age diversity and the selection of older candidates, as older workers are often the target of socially acceptable negative stereotypes and bias in recruitment, leaving them unemployed for longer than their younger counterparts. Across five preregistered experiments (total <i>N</i> = 4,096), we tested if the positive effect of bundling on diversity of selections extends to older candidates in hiring decisions. We found evidence of bias against older job candidates in hiring decisions but found inconsistent effects of choice bundling on the selection of older candidates across experiments. An effect of bundling was found in two of five experiments, with no meta-analytic effect found across the five studies. Making older candidates more competitive and introducing a diversity statement aimed at increasing their selection both significantly increased older candidate selections, but failed to activate the bundling effect. We discuss the theoretical implications for choice bundling interventions and for age as a diversity characteristic to support the design of interventions that meet the challenges of an aging workforce. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

38095983

How do humans give confidence? A comprehensive comparison of process models of perceptual metacognition.

Humans have the metacognitive ability to assess the accuracy of their decisions via confidence judgments. Several computational models of confidence have been developed but not enough has been done to compare these models, making it difficult to adjudicate between them. Here, we compare 14 popular models of confidence that make various assumptions, such as confidence being derived from postdecisional evidence, from positive (decision-congruent) evidence, from posterior probability computations, or from a separate decision-making system for metacognitive judgments. We fit all models to three large experiments in which subjects completed a basic perceptual task with confidence ratings. In Experiments 1 and 2, the best-fitting model was the lognormal meta noise (LogN) model, which postulates that confidence is selectively corrupted by signal-dependent noise. However, in Experiment 3, the positive evidence (PE) model provided the best fits. We evaluated a new model combining the two consistently best-performing models-LogN and the weighted evidence and visibility (WEV). The resulting model, which we call logWEV, outperformed its individual counterparts and the PE model across all data sets, offering a better, more generalizable explanation for these data. Parameter and model recovery analyses showed mostly good recoverability but with important exceptions carrying implications for our ability to discriminate between models. Finally, we evaluated each model's ability to explain different patterns in the data, which led to additional insight into their performances. These results comprehensively characterize the relative adequacy of current confidence models to fit data from basic perceptual tasks and highlight the most plausible mechanisms underlying confidence generation. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

38095984

Diagnostic value of serum autotaxin level in colorectal cancer.

<b>Background:</b> Autotaxin (ATX) is a nucleotide enzyme linked to cell growth, differentiation and migration. This study investigated serum levels of ATX in colorectal cancer (CRC). <b>Methods:</b> The study involved stage I-III CRC diagnosed between December 2020 and 2021, excluding those with neoadjuvant or adjuvant therapy, or metastasis. Healthy volunteers were controls. Serum ATX levels were measured by ELISA and compared. <b>Results:</b> This study included 129 patients (91 in the patient group and 38 in the control group). The optimal cutoff value of ATX for CRC was 169.98&#160;ng/ml, and sensitivity, specificity, positive likelihood ratio&#160;and negative likelihood ratio were 91.2% (95% CI: 89.4-96.2), 78.9% (95% CI: 62.7-90.4), 4.33 and 0.11, respectively. <b>Conclusion:</b> The serum ATX level is a useful biomarker for CRC.

38095985

Low expression of <i>GOT2</i> promotes tumor progress and predicts poor prognosis in hepatocellular carcinoma.

<b>Background:</b> To explore the biological function and the underlying mechanisms of GOT2 in hepatocellular carcinoma (HCC). <b>Materials &amp; methods:</b> The expression level and prognostic value of <i>GOT2</i> were examined using International Cancer Genome Consortium and International Cancer Proteogenome Consortium databases. The cell counting kit-8 method, clone formation, Transwell^&#174; assays and western blotting were used to evaluate the effects of <i>GOT2</i> on the biological function and autophagy of HCC cells. <b>Results:</b> The expression of <i>GOT2</i> was downregulated in HCC tissues and correlated with poor prognosis of HCC patients. Knockdown of <i>GOT2</i> promoted proliferation, migration and invasion of HCC cells and promoted cells' proliferation by inducing autophagy. <b>Conclusion:</b> <i>GOT2</i> plays a tumor-inhibitory role in HCC and may be a potential therapeutic target for HCC.

38095986

The emerging role of miR-320a in lung cancer: a comprehensive review.

A specialized biomarker(s) for lung cancer is imperative owing to its high mortality. Continuing our earlier work demonstrating the role of miR-320a as a tumor suppressor, here we discuss the most recent updates on miR-320a in lung cancer pathogenesis. We found that miR-320a modulates levels of diverse cancer-associated molecules and signaling pathways, and is also involved in modulating the immune microenvironment of lung cancer during its pathogenesis. We also discuss how miR-320a encapsulated in exosomes inhibits invasive phenotypes of lung cancer. Therefore, based on the multimodal role of miR-320a in lung cancer development and progression, we believe that miR-320a may be utilized as a potential diagnostic/prognostic marker and therapeutic target for lung cancer patients.

38095987

Using Bayesian item response theory for multicohort repeated measure design to estimate individual latent change scores.

Repeated measure data design has been used extensively in a wide range of fields, such as brain aging or developmental psychology, to answer important research questions exploring relationships between trajectory of change and external variables. In many cases, such data may be collected from multiple study cohorts and harmonized, with the intention of gaining higher statistical power and enhanced external validity. When psychological constructs are measured using survey scales, a fundamental psychometric challenge for data harmonization is to create commensurate measures for the constructs of interest across studies. Traditional analysis may fit a unidimensional item response theory model to data from one time point and one cohort to obtain item parameters and fix the same parameters in subsequent analyses. Such a simplified approach ignores item residual dependencies in the repeated measure design on one hand, and on the other hand, it does not exploit accumulated information from different cohorts. Instead, two alternative approaches should serve such data designs much better: an integrative approach using multiple-group two-tier model via concurrent calibration, and if such calibration fails to converge, a Bayesian sequential calibration approach that uses informative priors on common items to establish the scale. Both approaches use a Markov chain Monte Carlo algorithm that handles computational complexity well. Through a simulation study and an empirical study using Alzheimer's diseases neuroimage initiative cognitive battery data (i.e., language and executive functioning), we conclude that latent change scores obtained from these two alternative approaches are more precisely recovered. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

38095988

To detrend, or not to detrend, that is the question? The effects of detrending on cross-lagged effects in panel models.

Intervention studies in psychology often focus on identifying mechanisms that explain change over time. Cross-lagged panel models (CLPMs) are well suited to study mechanisms, but there is a controversy regarding the importance of detrending-defined here as separating longer-term time trends from cross-lagged effects-when modeling these change processes. The aim of this study was to present and test the arguments for and against detrending CLPMs in the presence of an intervention effect. We conducted Monte Carlo simulations to examine the impact of trends on estimates of cross-lagged effects from several longitudinal structural equation models. Our simulations suggested that ignoring time trends led to biased estimates of auto- and cross-lagged effects in some conditions, while detrending did not introduce bias in any of the models. We used real data from an intervention study to illustrate how detrending may affect results. This example showed that models that separated trends from cross-lagged effects fit better to the data and showed nonsignificant effect of the mechanism on outcome, while models that ignored trends showed significant effects. We conclude that ignoring trends increases the risk of bias in estimates of auto- and cross-lagged parameters and may lead to spurious findings. Researchers can test for the presence of trends by comparing model fit of models that take into account individual differences in trends (e.g., autoregressive latent trajectory model, the latent curve model with structured residuals, or the general cross-lagged model). (PsycInfo Database Record (c) 2023 APA, all rights reserved).

38095989

Measures of metacognitive efficiency across cognitive models of decision confidence.

Meta-<i>d'/d'</i> has become the quasi-gold standard to quantify metacognitive efficiency because meta-<i>d'/d'</i> was developed to control for discrimination performance, discrimination criteria, and confidence criteria even without the assumption of a specific generative model underlying confidence judgments. Using simulations, we demonstrate that meta-<i>d'/d'</i> is not free from assumptions about confidence models: Only when we simulated data using a generative model of confidence according to which the evidence underlying confidence judgments is sampled independently from the evidence utilized in the choice process from a truncated Gaussian distribution, meta-<i>d'/d'</i> was unaffected by discrimination performance, discrimination task criteria, and confidence criteria. According to five alternative generative models of confidence, there exist at least some combination of parameters where meta-<i>d'/d'</i> is affected by discrimination performance, discrimination criteria, and confidence criteria. A simulation using empirically fitted parameter sets showed that the magnitude of the correlation between meta-<i>d'/d'</i> and discrimination performance, discrimination task criteria, and confidence criteria depends heavily on the generative model and the specific parameter set and varies between negligibly small and very large. These simulations imply that a difference in meta-<i>d'/d'</i> between conditions does not necessarily reflect a difference in metacognitive efficiency but might as well be caused by a difference in discrimination performance, discrimination task criterion, or confidence criteria. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

38095990

Testing informative hypotheses in factor analysis models using bayes factors.

This study proposes a Bayesian approach to testing informative hypotheses in confirmatory factor analysis (CFA) models. The informative hypothesis, which is formulated by the constrained loadings, can directly represent researchers' theories or expectations about the tau equivalence in reliability analysis, item-level discriminant validity, and relative importance of indicators. Support for the informative hypothesis is quantified by the Bayes factor. We present the adjusted fractional Bayes factor of which the prior distribution is specified using a part of the data and adjusted according to the hypotheses under evaluation. This Bayes factor is derived and computed using the Markov chain Monte Carlo posterior samples of model parameters. Simulation studies investigate the performance of the proposed Bayes factor. A classic example of CFA models is used to illustrate the construction of the informative hypothesis, the specification of the prior distribution, and the computation and interpretation of the Bayes factor. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

38095991

The case for the curve: Parametric regression with second- and third-order polynomial functions of predictors should be routine.

Polynomial regression is an old and commonly discussed modeling technique, though recommendations for its usage are widely variable. Here, we make the case that polynomial regression with second- and third-order terms should be part of every applied practitioners standard model-building toolbox, and should be taught to new students of the subject as the default technique to model nonlinearity. We argue that polynomial regression is superior to nonparametric alternatives for nonstatisticians due to its ease of interpretation, flexibility, and its nonreliance on sophisticated mathematics, like knots and kernel smoothing. This makes it the ideal default for nonstatisticians interested in building realistic models that can capture global as well as local effects of predictors on a response variable. Low-order polynomial regression can effectively model compact floor and ceiling effects, local linearity, and prevent inferring the presence of spurious interaction effects between distinct predictors when none are present. We also argue that the case against polynomial regression is largely specious, relying on either misconceptions around the method, strawman arguments, or historical artifacts. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

38095992

Simulation-based design optimization for statistical power: Utilizing machine learning.

The planning of adequately powered research designs increasingly goes beyond determining a suitable sample size. More challenging scenarios demand simultaneous tuning of multiple design parameter dimensions and can only be addressed using Monte Carlo simulation if no analytical approach is available. In addition, cost considerations, for example, in terms of monetary costs, are a relevant target for optimization. In this context, optimal design parameters can imply a desired level of power at minimum cost or maximum power at a cost threshold. We introduce a surrogate modeling framework based on machine learning predictions to solve these optimization tasks. In a simulation study, we demonstrate the efficiency for a wide range of hypothesis testing scenarios with single- and multidimensional design parameters, including t tests, analysis of variance, item response theory models, multilevel models, and multiple imputations. Our framework provides an algorithmic solution for optimizing study designs when no analytic power analysis is available, handling multiple design dimensions and cost considerations. Our implementation is publicly available in the R package mlpwr. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

38095993

Unlocking nonlinear dynamics and multistability from intensive longitudinal data: A novel method.

The availability of smart devices has made it possible to collect intensive longitudinal data (ILD) from individuals, providing a unique opportunity to study the complex dynamics of psychological systems. Existing time-series methods often have limitations, such as assuming linear interactions or having restricted forms, leading to difficulties in capturing the complex nature of these systems. To address this issue, we introduce fitlandr, a method with implementation as an R package that integrates nonparametric estimation of the drift-diffusion function and stability landscape. The drift-diffusion function is estimated using the multivariate kernel estimator (MVKE; Bandi & Moloche, 2018), and the stability landscape is estimated through Monte-Carlo estimation of the steady-state distribution (Cui et al., 2021; Cui, Lichtwarck-Aschoff, et al., 2023). Using a simulated emotional system, we demonstrate that fitlandr can effectively recover bistable dynamics from data, even in the presence of moderate noise, and that it primarily relies on dynamic information from the system instead of distributional information. We then apply the method to two empirical single-participant experience sampling method data sets and compared the results with the simulation data sets. Whereas both data sets show a bimodal distribution, fitlandr only revealed bistability in one of them, indicating that bimodality in ILD does not necessarily imply the existence of bistability in the underlying system. These results demonstrate the potential of fitlandr as a tool for uncovering the rich, nonlinear dynamics of psychological systems from ILD. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

38095994

Psychological and neural correlates of social affect and cognition in narcissism: A multimethod study of self-reported traits, experiential states, and behavioral and brain indicators.

"Lack of empathy" is a diagnostic criterion of narcissism, but the nature of interpersonal functioning in narcissism is still being debated. Both, empathy and narcissism, are multidimensional constructs, and their relation might depend upon contextual factors. We investigated social affect and cognition in narcissism spanning self-reported traits and experiential states (Ecological Momentary Assessment) as well as behavioral and brain indicators (task-related functional magnetic resonance imaging). <i>N</i> = 140 individuals were selected to cover the full dimensional range of grandiose and vulnerable narcissism, including their constituent self-regulatory dimensions of agentic, antagonistic, and neurotic narcissism. Grandiose narcissism was associated with lower social affect at almost all analysis levels. The associations can be attributed to antagonistic self-regulatory dynamics, and are associated with lower brain activation during subjective experiencing of social affect in regions of the salience network. Social cognition was habitually lowered but not impaired in antagonistic narcissism. Our findings do not support a general "lack of empathy." (PsycInfo Database Record (c) 2023 APA, all rights reserved).

38095995

Examining the structure of personality dysfunction.

Personality impairment is a core feature of personality disorders in both current (i.e., <i>Diagnostic and Statistical Manual of Mental Disorders</i>, fifth edition [<i>DSM-5</i>] personality disorders, International <i>Classification of Diseases</i>,11th revision personality disorders) and emerging (i.e., <i>DSM-5'</i>s alternative model of personality disorders) models of psychopathology. Yet, despite its importance within clinical nosology, attempts to identify its optimal lower-order structure have yielded inconsistent findings. Given its presence in diagnostic models, it is important to better understand its empirical structure across a variety of instantiations. To the degree that impairment is multifaceted, various factors may have different nomological networks and varied implications for assessment, diagnosis, and treatment. Therefore, participants were recruited from two large public universities in the present preregistered study (<i>N</i> = 574) to explore the construct's structure with exploratory "bass-ackward" factor analyses at the item level. Participants completed over 250 items from six commonly used measures of personality dysfunction. Criterion variables in its nomological network were also collected (e.g., general and pathological personality traits, internalizing/externalizing behavior, and personality disorders) using both self- and informant-reports. These factor analyses identified four lower-order facets of impairment (i.e., negative self-regard, disagreeableness, intimacy problems, and lack of direction), all of which showed moderate to strong overlap with traits from both general and pathological models of personality. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

38095997

A cross-sectional study using self-defining memories to explore personal identity throughout adulthood.

Little research has examined changes in personal identity over different periods of adult development. The aim of the present cross-sectional study was to target these changes through the characterization of the main dimensions in self-defining memories (SDMs; thematic content, specificity, integrative meaning, tension, contamination/redemption, and emotion) and their interactions. Our final sample was composed of 652 healthy French adults aged from 18 to 97 years, divided into four age groups: young adults (<i>n</i> = 163, <i>M</i> = 23.7 years), middle-aged adults (<i>n</i> = 135, <i>M</i> = 44.0 years), young-old adults (<i>n</i> = 178, <i>M</i> = 64.5 years), and old-old adults (<i>n</i> = 176, <i>M</i> = 79.6 years). Participants were asked to recollect three SDMs. A similar pattern of thematic content was observed throughout adulthood, except for relationship narratives were more frequent in the two younger groups. The findings highlighted that specific and integrated SDMs decreased with age and that tension and contaminative sequences were the most frequent in young adults. Redemptive memories did not significantly differ whatever the age of participants. No clear positivity effect was observed with aging. Finally, an analysis of the correlations among the main SDMs' dimensions showed that specificity correlated positively with tension in young adults and integrative meaning with redemption in young and middle-aged participants. We found no significant correlation between specificity and integration in any age group. For the first time, this study sheds new light on lifelong identity adjustments. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

38095996

The benefits of math activities depend on the skills children bring to the table.

Playing board games and other math activities can provide young children with opportunities to develop their math skills. However, it is critical to understand for whom these activities may be most beneficial. In two studies, we examine the extent to which foundational cognitive skills moderate the effects of playing math games on math skills. In Study 1, we look cross-sectionally at the association between parents' frequency of math activities with their 3- to 4-year-old children (<i>N</i> = 124) and children's math achievement, examining the extent to which children's skills moderate this relation. We find that frequent math activities are only associated with better math performance for children with better number knowledge. In Study 2, we test this experimentally by randomly assigning parents and children (<i>N</i> = 76) to play with a number-related board game, an active control board game, or a business-as-usual control group. Controlling for number knowledge, inhibitory control, and vocabulary at pretest, no differences in math skills at posttest were observed between the training groups. However, a significant interaction emerged between training group assignment and number knowledge, such that children with higher pretest number knowledge had higher posttest math scores when assigned to the number board game condition compared to the two control conditions, but no differences among conditions were seen for children with lower number knowledge. Collectively, these findings suggest that math activities may be most beneficial for math skills when children have stronger number knowledge and underscore the need for tailoring activities to children's current skill level. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

38095998

The rich get richer? Children's reasoning about socioeconomic status predicts inclusion and resource bias.

Children's socioeconomic status (SES) is linked to disparate access to resources and affects social behaviors such as inclusion and resource allocations. Yet it is unclear whether children's essentialized view of SES (i.e., believing SES is immutable) or subjective social status (SSS) influences behavioral biases toward high- versus low-SES peers. We measured 4- to 9-year-old children's SES essentialism and SSS to test whether these predict inclusion and resource allocations to high- versus low-SES peers (<i>N</i> = 127; from a midsize city in the Southeastern United States; 49.6% female; parent-reported 54.2% White, 2.8% Black, 8.3% Latine, 5.6% Asian, 1.4% another race, 27.8% multiracial, 43.3% not provided). We also compared children's SES beliefs to their parent's. Children's SES essentialism and SSS decreased across the ages tested, and children reported higher SSS than their parents. Parents' SES essentialism predicted younger (but not older) children's SES essentialism. Moreover, SES essentialism mediated the negative relationship between age and preference for including high-SES peers, while SSS mediated the negative relationship between age and preference for allocating more resources to high-SES peers. This suggests that beliefs about the nature of SES may influence sociorelational behavior like including or excluding others, while perceived social status (SSS) may influence resource allocations. Furthermore, older children and those with lower SES essentialism included low- versus high-SES peers more often while older and lower SSS children distributed more resources toward low- versus high-SES peers. Thus, children's SES essentialism and SSS may also influence their behaviors to either perpetuate or rectify inequality. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

38095999

Everyday Digital Literacy Questionnaire for Older Adults: Instrument Development and Validation Study.

The need for digital literacy in aging populations is increasing in the digitalizing society. Digital literacy involves the identification, evaluation, and communication of information through various digital devices or relevant programs.

38096001

Transgénero en la edad pediátrica y riesgo cardiovascular.

38096000

Wearable Activity Trackers That Motivate Women to Increase Physical Activity: Mixed Methods Study.

Physical inactivity is a significant public health concern, particularly among women in the United States. Wearable activity trackers (WATs) have been proposed as a potential solution to increase awareness of and engagement in physical activity (PA). However, to be effective, WATs must include features and designs that encourage daily use.

38096003

Caries Detection in Primary Teeth Using Intraoral Scanners Featuring Fluorescence: Protocol for a Diagnostic Agreement Study.

Digital methods that enable early caries identification can streamline data collection in research and optimize dental examinations for young children. Intraoral scanners are devices used for creating 3D models of teeth in dentistry and are being rapidly adopted into clinical workflows. Integrating fluorescence technology into scanner hardware can support early caries detection. However, the performance of caries detection methods using 3D models featuring color and fluorescence in primary teeth is unknown.

38096004

Web-Based Public Reporting as a Decision-Making Tool for Consumers of Long-Term Care in the United States and the United Kingdom: Systematic Analysis of Report Cards.

Report cards can help consumers make an informed decision when searching for a long-term care facility.

38096002

A Machine Learning Model to Predict Patients' Adherence Behavior and a Decision Support System for Patients With Metastatic Breast Cancer: Protocol for a Randomized Controlled Trial.

Adherence to oral anticancer treatments is critical in the disease trajectory of patients with breast cancer. Given the impact of nonadherence on clinical outcomes and the associated economic burden for the health care system, finding ways to increase treatment adherence is particularly relevant.

38096005

Integrated Immunization Information System in Indonesia: Prototype Design Using Quantitative and Qualitative Data.

As the volume of immunization records increases, problems with fragmented records arise, especially since the majority of records in developing countries, including Indonesia, remain paper based. Implementing an immunization information system (IIS) offers a solution to this problem.

38096006

Adoption of Electronic Health Record Among Substance Use Disorder Treatment Programs: Nationwide Cross-Sectional Survey Study.

Electronic health record (EHR) systems have been shown to be associated with improvements in care processes, quality of care, and patient outcomes. EHR also has a crucial role in the delivery of substance use disorder (SUD) treatment and is considered important for addressing SUD crises, including the opioid epidemic. However, little is known about the adoption of EHR in SUD treatment programs or the organizational-level factors associated with the adoption of EHR in SUD treatment.

38096007

Effects of User-Reported Risk Factors and Follow-Up Care Activities on Satisfaction With a COVID-19 Chatbot: Cross-Sectional Study.

The COVID-19 pandemic influenced many to consider methods to reduce human contact and ease the burden placed on health care workers. Conversational agents or chatbots are a set of technologies that may aid with these challenges. They may provide useful interactions for users, potentially reducing the health care worker burden while increasing user satisfaction. Research aims to understand these potential impacts of chatbots and conversational recommender systems and their associated design features.

38096008

Development of Risk Prediction Models for Severe Periodontitis in a Thai Population: Statistical and Machine Learning Approaches.

Severe periodontitis affects 26% of Thai adults and 11.2% of adults globally and is characterized by the loss of alveolar bone height. Full-mouth examination by periodontal probing is the gold standard for diagnosis but is time- and resource-intensive. A screening model to identify those at high risk of severe periodontitis would offer a targeted approach and aid in reducing the workload for dentists. While statistical modelling by a logistic regression is commonly applied, optimal performance depends on feature selections and engineering. Machine learning has been recently gaining favor given its potential discriminatory power and ability to deal with multiway interactions without the requirements of linear assumptions.

38096009

Toward an Interdisciplinary Approach to Constructing Care Delivery Pathways From Electronic Health Care Databases to Support Integrated Care in Chronic Conditions: Systematic Review of Quantification and Visualization Methods.

Electronic health care databases are increasingly used for informing clinical decision-making. In long-term care, linking and accessing information on health care delivered by different providers could improve coordination and health outcomes. Several methods for quantifying and visualizing this information into data-driven care delivery pathways (CDPs) have been proposed. To be integrated effectively and sustainably into routine care, these methods need to meet a range of prerequisites covering 3 broad domains: clinical, technological, and behavioral. Although advances have been made, development to date lacks a comprehensive interdisciplinary approach. As the field expands, it would benefit from developing common standards of development and reporting that integrate clinical, technological, and behavioral aspects.

38096010

Assessment of Heart Rate Monitoring During Exercise With Smart Wristbands and a Heart Rhythm Patch: Validation and Comparison Study.

The integration of wearable devices into fitness routines, particularly in military settings, necessitates a rigorous assessment of their accuracy. This study evaluates the precision of heart rate measurements by locally manufactured wristbands, increasingly used in military academies, to inform future device selection for military training activities.

38096011

Plan estratégico de la Federación Mundial del Corazón: «Salud cardiovascular para todos».

38096012

Phone-Based Text Therapy for Youth Mental Health: Rapid Review.

Mental illness has become a prevalent issue impacting adolescents worldwide. Many barriers, including stigma and poor health literacy, prevent this population group from accessing reliable mental health care services. Synchronous text-therapy counseling is an underused therapeutic approach in combating adolescent mental illness. Phone-based text therapy is uniquely placed to offer personalized counseling to adolescents through a familiar and engaging treatment modality.

38096013

The Accuracy and Appropriateness of ChatGPT Responses on Nonmelanoma Skin Cancer Information Using Zero-Shot Chain of Thought Prompting.

38096014

Potential and Limitations of ChatGPT 3.5 and 4.0 as a Source of COVID-19 Information: Comprehensive Comparative Analysis of Generative and Authoritative Information.

The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has necessitated reliable and authoritative information for public guidance. The World Health Organization (WHO) has been a primary source of such information, disseminating it through a question and answer format on its official website. Concurrently, ChatGPT 3.5 and 4.0, a deep learning-based natural language generation system, has shown potential in generating diverse text types based on user input.

38096015

A Machine Learning Algorithm Predicting Acute Kidney Injury in Intensive Care Unit Patients (NAVOY Acute Kidney Injury): Proof-of-Concept Study.

Acute kidney injury (AKI) represents a significant global health challenge, leading to increased patient distress and financial health care burdens. The development of AKI in intensive care unit (ICU) settings is linked to prolonged ICU stays, a heightened risk of long-term renal dysfunction, and elevated short- and long-term mortality rates. The current diagnostic approach for AKI is based on late indicators, such as elevated serum creatinine and decreased urine output, which can only detect AKI after renal injury has transpired. There are no treatments to reverse or restore renal function once AKI has developed, other than supportive care. Early prediction of AKI enables proactive management and may improve patient outcomes.

38096016

Impact of the COVID-19 Health Crisis on Key Populations at Higher Risk for, or Living With, HIV or Hepatitis C Virus and People Working With These Populations: Multicountry Community-Based Research Study Protocol (EPIC Program).

Information concerning the impact of the COVID-19 health crisis on populations most affected by HIV and hepatitis C virus (HCV; or key populations [KP]), and those working with these populations in community settings, is limited. Community-based organizations working in the field of HIV and viral hepatitis are well placed to identify and meet the new needs of KP owing to the health crisis.

38096017

Efficacy of a Smartphone App in Enhancing Medication Adherence and Accuracy in Individuals With Schizophrenia During the COVID-19 Pandemic: Randomized Controlled Trial.

Poor medication adherence or inaccuracy in taking prescribed medications plays an important role in the recurrence or worsening of psychiatric symptoms in patients with schizophrenia, and the COVID-19 pandemic impacted their medication adherence with exacerbated symptoms or relapse. The use of mobile health services increased during the COVID-19 pandemic, and their role in improving mental health is becoming clearer.

38096018

Psychosocial Outcomes Among Users and Nonusers of Open-Source Automated Insulin Delivery Systems: Multinational Survey of Adults With Type 1 Diabetes.

Emerging research suggests that open-source automated insulin delivery (AID) may reduce diabetes burden and improve sleep quality and quality of life (QoL). However, the evidence is mostly qualitative or uses unvalidated, study-specific, single items. Validated person-reported outcome measures (PROMs) have demonstrated the benefits of other diabetes technologies. The relative lack of research investigating open-source AID using PROMs has been considered a missed opportunity.

38096019

Postsynaptic cell type and synaptic distance do not determine efficiency of monosynaptic rabies virus spread measured at synaptic resolution.

Retrograde monosynaptic tracing using glycoprotein-deleted rabies virus is an important component of the toolkit for investigation of neural circuit structure and connectivity. It allows for the identification of first-order presynaptic connections to cell populations of interest across both the central and peripheral nervous system, helping to decipher the complex connectivity patterns of neural networks that give rise to brain function. Despite its utility, the factors that influence the probability of transsynaptic rabies spread are not well understood. While it is well established that expression levels of rabies glycoprotein used to trans-complement G-deleted rabies can result in large changes in numbers of inputs labeled per starter cell (convergence index [CI]), it is not known how typical values of CI relate to the proportions of synaptic contacts or input neurons labeled. And it is not known whether inputs to different cell types, or synaptic contacts that are more proximal or distal to the cell body, are labeled with different probabilities. Here, we use a new rabies virus construct that allows for the simultaneous labeling of pre- and postsynaptic specializations to quantify the proportion of synaptic contacts labeled in mouse primary visual cortex. We demonstrate that with typical conditions about 40% of first-order presynaptic excitatory synapses to cortical excitatory and inhibitory neurons are labeled. We show that using matched tracing conditions there are similar proportions of labeled contacts onto L4 excitatory pyramidal, somatostatin (Sst) inhibitory, and vasoactive intestinal peptide (Vip) starter cell types. Furthermore, we find no difference in the proportions of labeled excitatory contacts onto postsynaptic sites at different subcellular locations.

38096020

Digital Support Systems to Improve Child Health and Development in Peru: Protocol for a Randomized Controlled Trial.

Children living in low and middle-income countries (LMICs) are at greater risk for experiencing adversities that can undermine their health and early development. Recently launched digital early childhood development (ECD) programs attempt to support families with young children in their home environments using digital technologies. However, relatively little is known regarding the effectiveness of these new technologies.

38096021

Outcomes of a Remote Cardiac Rehabilitation Program for Patients Undergoing Atrial Fibrillation Ablation: Pilot Study.

Risk factor modification, in particular exercise and weight loss, has been shown to improve outcomes for patients with atrial fibrillation (AF). However, access to structured supporting programs is limited. Barriers include the distance from appropriate facilities, insurance coverage, work or home responsibilities, and transportation. Digital health technology offers an opportunity to address this gap and offer scalable interventions for risk factor modification.

38096022

Recent advances in the treatment of gastrointestinal motility disorders in children.

Paediatric gastrointestinal motility disorders represent some of the most challenging clinical conditions with largely undefined pathogenetic pathways and therefore limited therapeutic options. Herein, we provide an overview of the recent advances in treatment options for these disorders and their clinical impact.

38096023

Understanding the Value of a Proactive Telecare System in Supporting Older Adults' Independence at Home: Qualitative Interview Study Among Key Interest Groups.

Telecare is claimed to support people to live in their own homes for longer by providing monitoring services that enable responses to emergencies at home. Although most telecare technologies commissioned in the United Kingdom predominantly supply reactive services, there has been recent interest among policy makers to develop proactive telecare services to provide additional understanding of older adults' health and well-being needs to provide a means for more preventive interventions. Proactive telecare refers to providing regular well-being calls or encouraging users to regularly confirm their well-being to anticipate and prevent crises through an increased understanding of individuals' needs and by building social relationships with older adults. Such technologies have already begun to be introduced, yet little research has explored the potential value of proactive telecare.

38096024

Identifying Existing Evidence to Potentially Develop a Machine Learning Diagnostic Algorithm for Cough in Primary Care Settings: Scoping Review.

Primary care is known to be one of the most complex health care settings because of the high number of theoretically possible diagnoses. Therefore, the process of clinical decision-making in primary care includes complex analytical and nonanalytical factors such as gut feelings and dealing with uncertainties. Artificial intelligence is also mandated to offer support in finding valid diagnoses. Nevertheless, to translate some aspects of what occurs during a consultation into a machine-based diagnostic algorithm, the probabilities for the underlying diagnoses (odds ratios) need to be determined.

38096026

Expanding the Spectrum of Ocular Dipping With Ping-Pong Gaze.

38096025

Investigating the effect of wall material and pressure homogenization on encapsulation parameters and thermal stability in chia seed oil microcapsules.

To evaluate the effect of different wall material (WM) matrices followed by homogenization to encapsulate chia seed oil (CSO) using freeze-drying technology.

38096027

Differences in respiratory function, depressive symptoms and quality of life between patients with hereditary motor and sensory neuropathy and myotonic dystrophy undergoing maintenance rehabilitation.

Hereditary motor and sensory neuropathy (HMSN) and myotonic dystrophy (MD) are chronic neuromuscular diseases that cause progressive muscular impairment and impact patient's quality of life. Conflicting findings in existing literature underscore the need for focussed research on specific health aspects in these patients. The aim of the study was to explore the differences in respiratory function, depressive symptoms and quality of life between patients with HMSN and MD undergoing maintenance rehabilitation. Our prospective observational study included 62 HMSN patients (median age 53.5, range 19-79 years; 38 women) and 50 MD patients (median age 54.0, range 18-77 years; 34 women) undergoing maintenance rehabilitation. They performed respiratory function tests (vital capacity, forced vital capacity, forced expiratory volume and peak expiratory flow) and respiratory muscle strength tests (maximum inspiratory pressure, maximum expiratory pressure and sniff nasal inspiratory force). The Center for Epidemiological Studies-Depression Scale was used to evaluate depression, and their health-related quality of life was assessed using the Quality of Life in Genetic Neuromuscular Disease Questionnaire. Using logistic regression, we examined group-difference in presence of depressive symptoms while accounting for age, symptoms duration, and marital status. Multiple linear regression was used to assess the difference in quality-of-life scores, adjusting for age, gender, and symptoms' duration. The HMSN group achieved statistically significantly better results than the MD group on all respiratory measures (about 17% absolute difference in the respiratory function measures and 30% relative difference in the respiratory muscle strength measures on average). Both groups exhibited a high level of depression symptoms (HMSN 24%, MD 44%; estimated adjusted odds-ratio MD vs. HMSN 1.9, 95% CI 0.8-4.5, P = 0.127). We did not find a statistically significant difference between the groups regarding quality-of-life domains, though a trend towards better quality-of-life among the HMSN patients could be observed. The implication for future practice is that the MD patients would potentially benefit the most from targeted respiratory-rehabilitation interventions, and both groups could benefit from focussed mental-health interventions.

38096028

Docetaxel Chemotherapy-Associated Central Retinal Artery Occlusion in Metastatic Prostate Cancer.

38096029

Modified Chaishao Liujunzi Decoction inhibits bile acid-induced gastric intestinal metaplasia: from network prediction to experimental verification.

Modified Chaishao Liujunzi Decoction (MCLD) is a traditional Chinese medicine formula that is used mainly to improve clinical symptoms, alleviate gastric mucosal inflammation, and improve gastric mucosal lesions in patients with gastric intestinal metaplasia (GIM). GIM is considered a precancerous gastric cancer (GC) lesion (PLGC) and exploring effective intervention measures for GIM is of great importance for the prevention of GC. The purpose of this study was to reveal the potential molecular mechanism of MCLD in improving GIM induced by bile acid (BA) using network pharmacology and experimental validation. Through network pharmacology, we speculated that MCLD could act on GIM by driving the epidermal growth factor receptor (EGFR)/PI3K/AKT/mammalian target of rapamycin (mTOR) pathway. After that, we used deoxycholic acid (DCA) to treat GES-1 cells to simulate BA-induced GIM and observed the effects of MCLD treatment. The results indicate that MCLD can significantly inhibit DCA-induced cell proliferation and down-regulate the expression of pro-inflammatory cytokines and intestinal-specific markers. At the same time, MCLD also negatively regulated the expression of genes and proteins of the EGFR/PI3K/AKT/mTOR pathway. Combination with EGFR agonists and inhibitors suggested that MCLD may improve GIM by inhibiting the EGFR/PI3K/AKT/mTOR pathway, which may be related to its inhibition of DCA-induced cell proliferation through this pathway. In conclusion, MCLD may improve BA-induced GIM through the EGFR/PI3K/AKT/mTOR pathway, as predicted by network pharmacology, and is a potential Chinese medicine prescription for the treatment or reversal of GIM.

38096030

Electrochemically Driven C4-Selective Decyanoalkylation of Cyanopyridines with Unactivated Alkyl Bromides Enabling C(sp³)-C(sp²) Coupling.

With cyanopyridines and alkyl bromides as coupling partners, an electrochemically driven C4-selective decyanoalkylation has been established to access diverse 4-alkylpyridines in one step. The reaction proceeds through the single electron reduction/radical-radical coupling tandem process under mild electrolytic conditions, achieving the cleavage of the C(sp²)-CN bond and the formation of C(sp³)-C(sp²). The practicality of this protocol is illustrated by no sacrificial anodes, a broad substrate scope, and gram-scale synthesis.

38096032

The Patient's Clinical Profile From a Neuro-Ophthalmology Center in Brazil: A Retrospective Study.

Neuro-ophthalmology (NO) is a subspeciality of Ophthalmology, which represents more than an intersection of Neurology and Ophthalmology. The present report highlights the increasing importance of the subspeciality in Brazil and provides a unique retrospective study of the patient's clinical profile of a NO reference center.

38096031

A Teenage Boy With a Radiation-Induced High-Grade Astrocytoma.

A 12-year-old boy developed acute headache and vomiting. MRI brain showed a partially cystic suprasellar mass. He underwent cyst fenestration, but the cyst regrew, so he underwent transcranial subtotal resection of the mass. The pathologic diagnosis was adamantinomatous craniopharyngioma. Residual tumor was treated with proton beam radiation therapy, and panhypopituitarism was treated with hormone replacement therapy, including growth hormone. Serial brain MRI scans over several years showed no evidence of tumor recurrence. But at four years after radiation, surveillance MRI showed a new focus of nonenhancing FLAIR hyperintensity in the left basal ganglia attributed to gliosis caused by radiotherapy. Seven months later, he developed progressive right hemiparesis, expressive aphasia, and blurred vision, prompting reevaluation. MRI brain showed new enhancing and T2/FLAIR hyperintense lesions in the midbrain, basal ganglia, thalamus, anterior temporal lobe, and optic tract. The abnormal regions showed low diffusivity and relatively high regional blood flow. Stereotactic biopsy disclosed a WHO Grade 4 astrocytoma, likely radiation-induced. A germline ataxia telangiectasia mutation was found in the tumor tissue. The risk of radiation-induced pediatric brain malignancies is low but may have been increased by the mutation.

38096033

Endonasal Endoscopic Optic Canal Decompression for Nontraumatic Optic Neuropathy: Long-Term Visual Outcomes in 36 Patients.

The management of compressive optic neuropathy (CON) arising from nontraumatic compression of the optic nerve within the optic canal (OC) remains a topic of controversy. In this study, our aim was to assess the effectiveness and safety of endonasal endoscopic optic nerve decompression (EEOND). In addition, we conducted an analysis of prognostic factors that could potentially influence visual outcomes.

38096034

The efficient role of sodium alginate-based biodegradable dressings for skin wound healing application: a systematic review.

Injuries and damage to the skin can be caused by different reasons throughout human life. The use of sodium alginate in tissue dressing has been highly studied due to its intrinsic properties, including its degradation rate and biocompatibility, and the capacity of supporting tissue proliferation. The aim of this paper is to demonstrate evidences, through a systematic review method, to support the application of sodium alginate as a curative and as a potential accelerator in the healing of skin wounds. Four databases were used to develop this systematic review: Science Direct, PubMed, Scielo and Scopus. The time interval established for the search was from January 2016 to October 2023. After applying the exclusion and inclusion criteria, each selected article was evaluated and it was observed that the improvement of the mechanical properties of sodium alginate when correctly processed and crosslinked were evident. However, the increase of crosslinking affects as the wettability and the swelling of the biomaterials can cause limitations in mechanical properties and hidrophilic behavior. To achieve the ideal dressing, it is necessary to apply the optimal concentration of crosslinking and other substances, which can damage its hidrophilic characteristic. Thus, it was concluded that sodium alginate has every caracteristic desirable to develop an effective and safe dressing.

38096035

Association between perinatal and early life exposures and lung function in Australian Indigenous young adults: The Aboriginal Birth Cohort study.

Despite the high burden of respiratory disease amongst Indigenous populations, prevalence data on spirometric deficits and its determinants are limited. We estimated the prevalence of abnormal spirometry in young Indigenous adults and determined its relationship with perinatal and early life factors.

38096036

Structure determination using high-order spatial correlations in single-particle X-ray scattering.

Single-particle imaging using X-ray free-electron lasers (XFELs) is a promising technique for observing nanoscale biological samples under near-physiological conditions. However, as the sample's orientation in each diffraction pattern is unknown, advanced algorithms are required to reconstruct the 3D diffraction intensity volume and subsequently the sample's density model. While most approaches perform 3D reconstruction via determining the orientation of each diffraction pattern, a correlation-based approach utilizes the averaged spatial correlations of diffraction intensities over all patterns, making it well suited for processing experimental data with a poor signal-to-noise ratio of individual patterns. Here, a method is proposed to determine the 3D structure of a sample by analyzing the double, triple and quadruple spatial correlations in diffraction patterns. This ab initio method can reconstruct the basic shape of an irregular unsymmetric 3D sample without requiring any prior knowledge of the sample. The impact of background and noise on correlations is investigated and corrected to ensure the success of reconstruction under simulated experimental conditions. Additionally, the feasibility of using the correlation-based approach to process incomplete partial diffraction patterns is demonstrated. The proposed method is a variable addition to existing algorithms for 3D reconstruction and will further promote the development and adoption of XFEL single-particle imaging techniques.

38096037

Dynamic X-ray speckle-tracking imaging with high-accuracy phase retrieval based on deep learning.

Speckle-tracking X-ray imaging is an attractive candidate for dynamic X-ray imaging owing to its flexible setup and simultaneous yields of phase, transmission and scattering images. However, traditional speckle-tracking imaging methods suffer from phase distortion at locations with abrupt changes in density, which is always the case for real samples, limiting the applications of the speckle-tracking X-ray imaging method. In this paper, we report a deep-learning based method which can achieve dynamic X-ray speckle-tracking imaging with high-accuracy phase retrieval. The calibration results of a phantom show that the profile of the retrieved phase is highly consistent with the theoretical one. Experiments of polyurethane foaming demonstrated that the proposed method revealed the evolution of the complicated microstructure of the bubbles accurately. The proposed method is a promising solution for dynamic X-ray imaging with high-accuracy phase retrieval, and has extensive applications in metrology and quantitative analysis of dynamics in material science, physics, chemistry and biomedicine.

38096038

Refining short-range order parameters from the three-dimensional diffuse scattering in single-crystal electron diffraction data.

Our study compares short-range order parameters refined from the diffuse scattering in single-crystal X-ray and single-crystal electron diffraction data. Nb_0.84CoSb was chosen as a reference material. The correlations between neighbouring vacancies and the displacements of Sb and Co atoms were refined from the diffuse scattering using a Monte Carlo refinement in DISCUS. The difference between the Sb and Co displacements refined from the diffuse scattering and the Sb and Co displacements refined from the Bragg reflections in single-crystal X-ray diffraction data is 0.012&#8197;(7)&#8197;&#197; for the refinement on diffuse scattering in single-crystal X-ray diffraction data and 0.03&#8197;(2)&#8197;&#197; for the refinement on the diffuse scattering in single-crystal electron diffraction data. As electron diffraction requires much smaller crystals than X-ray diffraction, this opens up the possibility of refining short-range order parameters in many technologically relevant materials for which no crystals large enough for single-crystal X-ray diffraction are available.

38096039

C-SPAM: an open-source time-resolved specimen vitrification device with light-activated molecules.

Molecular structures can be determined in vitro and in situ with cryo-electron microscopy (cryo-EM). Specimen preparation is a major obstacle in cryo-EM. Typical sample preparation is orders of magnitude slower than biological processes. Time-resolved cryo-EM (TR-cryo-EM) can capture short-lived states. Here, Cryo-EM sample preparation with light-activated molecules (C-SPAM) is presented, an open-source, photochemistry-coupled device for TR-cryo-EM that enables millisecond resolution and tunable timescales across broad biological applications.

38096040

What is isostructurality? Questions on the definition.

Investigation of isostructurality leads to a deeper understanding of close-packing principles and contributes to the ability of crystal engineering. A given packing motif may tolerate small molecular changes within a limit. Slight alterations of a crystal packing arrangement are carried out in order to fine-tune the structural and macroscopic properties, keeping the balance of the spatial requirements and electrostatic effects of the altered molecules in the crystals, preserving their isostructurality. Even so, the definition of isostructurality is not explicit about several issues. Are the corresponding structures required to have the same stoichiometry, Z', symmetry elements and the same space group? Because it is not obvious in the definition, studies on structure analysis and software calculating various numerical descriptors developed for the quantitative comparison of the degree of similarity of isostructural crystals self-define their criteria. The extent of the difference between corresponding crystal structures referred to as isostructural is not limited. Should it be determined numerically? There is nothing in the definition about a demand for similar supramolecular arrangements in isostructural crystals. Should the similarity of supramolecular interactions be a criterion of isostructurality? The definition of isostructurality deserves reconsideration regarding symmetry, measure of similarity and formation of supramolecular interactions.

38096041

Insulin-euglycemia therapy in acute aluminum phosphide poisoning: a randomized clinical trial.

<b>Introduction</b>: Aluminum phosphide is a pesticide that is used in developing countries. Aluminum phosphide poisoning has a high mortality rate and there is no known antidote. This study aimed to evaluate the safety and efficacy of insulin-euglycemia therapy in the management of patients with acute aluminum phosphide poisoning.<b>Methods</b>: This trial was prospectively registered in the Pan African Clinical Trials Registry (PACTR202008534546951). A total of 108 patients were randomly allocated to two groups. The intervention group received insulin-euglycemia therapy in addition to standard treatment (norepinephrine and supportive care); the control group received standard treatment plus placebo. The main outcome measures were survival, blood pressure, and laboratory investigations.<b>Results</b>: The two groups had similar baseline parameters. Insulin-euglycemia therapy was associated with a significant reduction in mortality compared with that in the control group (64.8% and 96.3%, respectively; <i>P</i> value &lt;0.001). Patients randomized to insulin-euglycemia also required lower doses of vasopressors (median was 7&#8201;mg versus 26&#8201;mg in control group; <i>P</i> value 0.006) and fewer patients needed intubation (61.1% versus 81.5 percent in the control group; <i>P</i> value 0.019). Insulin-euglycemia therapy significantly improved blood pressure (systolic, diastolic, and mean arterial pressure) (median at 6h post-admission was 80 mmHg, 55 mmHg and 65&#8201;mmHg compared with 20 mmHg, 10 mmHg and 13&#8201;mmHg in the control group respectively; <i>P</i> value &lt;0.001) and bicarbonate and lactate concentrations.<b>Conclusion</b>: Insulin-euglycemia therapy appears to be a safe and effective treatment option for patients with aluminum phosphide poisoning. Vasopressor only therapy was associated with very poor outcomes in acute aluminum phosphide poisoning.

38096042

Retraction: Developing and Testing Methylated Nano-Structured Dipeptides that Inhibit Src Kinase Activity In Vitro for Anti-Cancer Applications.

The article Developing and Testing Methylated Nano-Structured Dipeptides that Inhibit Src Kinase Activity In Vitro for Anti-Cancer Applications has been retracted by the journal due to authorship and reproducibility concerns.

38096043

The Deception of Pancreas Cyst Surveillance: A Case Study.

Pancreatic cysts are a growing pandemic around the world. Intrapapillary mucinous neoplasms are the most common type of pancreatic cysts and given their premalignant nature, guidelines recommend surveillance. This case study and discussion addresses the five existing guidelines published to help clinicians manage patients with intraductal papillary mucinous neoplasms and illustrates how, despite guidelines and close surveillance, intraductal papillary mucinous neoplasms can transform into pancreatic adenocarcinoma.

38096044

Associations between Two Dietary Quality Scores and Pancreatic Cancer Risk in a US National Prospective Cohort Study.

Most previous studies investigated the associations between intake of individual nutrients and risk of disease, which failed to consider the potential interactions and correlations between various nutrients contained in food. Although dietary quality scores provide a comprehensive evaluation of the entire diet, it remains elusive whether they are associated with the risk of pancreatic cancer.

38096045

A Paradigm Use of Monoclonal Antibodies-conjugated Nanoparticles in Breast Cancer Treatment: Current Status and Potential Approaches.

Monoclonal antibodies (mAbs) are integral to cancer treatment over conventional non-specific therapy methods. This study provides a scoping review of the clinically approved mAbs, focusing on the current application of different nanocarrier technologies as drug delivery targets for mAb-conjugated nanoparticles as potential features for breast cancer treatment. An extensive literature search was conducted between the years 2000 and 2023 using various sources of databases. The first part covered mAb classification, types, and mechanisms of action, pharmacokinetics, and clinical applications in breast cancer. The second part covered polymeric, lipid, and inorganic-based nanoparticles, which are a variety of mAb-conjugated nanoparticles targeting breast cancer. A total of 20 relevant studies were enrolled indicating there are three different types of nanoparticular systems (polymeric NPs, inorganic NPs, and lipid-based NPs) that can be used for breast cancer treatment by being loaded with various active substances and conjugated with these antibodies. While mAbs have altered the way in cancer treatment due to targeting cancer cells specifically, the delivery of mAbs with nanoparticulate systems is important in the treatment of breast cancer, as nanoparticles are still being investigated as distinctive and promising drug delivery methods that can be employed for effective treatment of breast cancer.

38096047

Comparison of lignocellulosic enzymes and CAZymes between ascomycetes (<i>Trichoderma</i>) and basidiomycetes (<i>Ganoderma</i>) species: a proteomic approach.

Wood decomposing ascomycetes and basidiomycetes group of fungi are the most valuable microbes on the earth's ecosystem that recycles the source of carbon; therefore, they are essential for the biorefinery industries. To understand the robustness of the enzymes and their metabolic pathways in the fungal system, label-free quantification of the total proteins was performed. The fungi showed a comparable quantity of protein abundance [<i>Trichoderma citrinoviride</i> (285), <i>Thermoascus aurantiacus</i> (206), <i>Ganoderma lucidum</i> MDU-7 (102), <i>G.&#160;lucidum</i> (242)]. Differentially regulated proteins of ascomycetes and basidiomycetes were analyzed, and their heatmap shows upregulated and downregulated proteins [25 differentially expressed proteins in <i>T.&#160;citrinoviride</i> (8.62&#8239;% up-regulated and 91.37&#8239;% down-regulated) and <i>G.&#160;lucidum</i> (5.74&#8239;% up-regulated and 94.25&#8239;% down-regulated)] by using the normalized peptide-spectrum match (PSMs) and log2fold change. These proteins were similarly matched to the carbohydrate active enzymes family (CAZymes) like glycoside hydrolase (GH family), carbohydrate-binding module (CBM family) with auxiliary activities, and also involved in the hydrolysis of carbohydrate, lignin, xylan, polysaccharides, peptides, and oxido-reductase activity that helps in antioxidant defense mechanism. The lignocellulolytic enzymes from two different divisions of fungi and proteomics studies gave a better understanding of carbon recycling and multi-product lignocellulosic biorefinery processes.

38096046

Gene set correlation enrichment analysis for interpreting and annotating gene expression profiles.

Pathway analysis, including nontopology-based (non-TB) and topology-based (TB) methods, is widely used to interpret the biological phenomena underlying differences in expression data between two phenotypes. By considering dependencies and interactions between genes, TB methods usually perform better than non-TB methods in identifying pathways that include closely relevant or directly causative genes for a given phenotype. However, most TB methods may be limited by incomplete pathway data used as the reference network or by difficulties in selecting appropriate reference networks for different research topics. Here, we propose a gene set correlation enrichment analysis method, Gscore, based on an expression dataset-derived coexpression network to examine whether a differentially expressed gene (DEG) list (or each of its DEGs) is associated with a known gene set. Gscore is better able to identify target pathways in 89 human disease expression datasets than eight other state-of-the-art methods and offers insight into how disease-wide and pathway-wide associations reflect clinical outcomes. When applied to RNA-seq data from COVID-19-related cells and patient samples, Gscore provided a means for studying how DEGs are implicated in COVID-19-related pathways. In summary, Gscore offers a powerful analytical approach for annotating individual DEGs, DEG lists, and genome-wide expression profiles based on existing biological knowledge.

38096048

Argonaute3-SF3B3 complex controls pre-mRNA splicing to restrain type 2 immunity.

Argonaute (AGO) proteins execute microRNA (miRNA)-mediated gene silencing. However, it is unclear whether all 4 mammalian AGO proteins (AGO1, AGO2, AGO3, and AGO4) are required for miRNA activity. We generate Ago1, Ago3, and Ago4-deficient mice (Ago134^&#916;) and find AGO1/3/4 to be redundant for miRNA biogenesis, homeostasis, or function, a role that is carried out by AGO2. Instead, AGO1/3/4 regulate the expansion of type 2 immunity via precursor mRNA splicing in CD4⁺ T helper (Th) lymphocytes. Gain- and loss-of-function experiments demonstrate that nuclear AGO3 interacts directly with SF3B3, a component of the U2 spliceosome complex, to aid global mRNA splicing, and in particular the isoforms of the gene Nisch, resulting in a dysregulated Nisch isoform ratio. This work uncouples AGO1, AGO3, and AGO4 from miRNA-mediated RNA interference, identifies an AGO3:SF3B3 complex in the nucleus, and reveals a mechanism by which AGO proteins regulate inflammatory diseases.

38096049

Ratcheted transport and sequential assembly of the yeast telomerase RNP.

The telomerase ribonucleoprotein particle (RNP) replenishes telomeric DNA and minimally requires an RNA component and a catalytic protein subunit. However, telomerase RNP maturation is an intricate process occurring in several subcellular compartments and is incompletely understood. Here, we report how the co-transcriptional association of key telomerase components and nuclear export factors leads to an export-competent, but inactive, RNP. Export is dependent on the 5' cap, the 3' extension of unprocessed telomerase RNA, and protein associations. When the RNP reaches the cytoplasm, an extensive protein swap occurs, the RNA is trimmed to its mature length, and the essential catalytic Est2 protein joins the RNP. This mature and active complex is then reimported into the nucleus as its final destination and last processing steps. The irreversible processing events on the RNA thus support a ratchet-type model of telomerase maturation, with only a single nucleo-cytoplasmic cycle that is essential for the assembly of mature telomerase.

38096050

NK cells propagate T cell immunity following in situ tumor vaccination.

We report an in situ vaccination, adaptable to nearly any type of cancer, that combines radiotherapy targeting one tumor and intratumoral injection of this site with tumor-specific antibody and interleukin-2 (IL-2; 3xTx). In a phase I clinical trial, administration of 3xTx (with an immunocytokine fusion of tumor-specific antibody and IL-2, hu14.18-IL2) to subjects with metastatic melanoma increases peripheral CD8⁺ T&#160;cell effector polyfunctionality. This suggests the potential for 3xTx to promote antitumor immunity against metastatic tumors. In poorly immunogenic syngeneic murine melanoma or head and neck carcinoma models, 3xTx stimulates CD8⁺ T&#160;cell-mediated antitumor responses at targeted and non-targeted tumors. During 3xTx treatment, natural killer (NK) cells promote CTLA4⁺ regulatory T&#160;cell (T_reg) apoptosis in non-targeted tumors. This is dependent on NK cell expression of CD86, which is upregulated downstream of KLRK1. NK cell depletion increases T_reg infiltration, diminishing CD8⁺ T&#160;cell-dependent antitumor response. These findings demonstrate that NK cells sustain and propagate CD8⁺ T&#160;cell immunity following 3xTx.

38096051

MeCP2 represses the activity of topoisomerase IIβ in long neuronal genes.

A unique signature of neurons is the high expression of the longest genes in the genome. These genes have essential neuronal functions, and disruption of their expression has been implicated in neurological disorders. DNA topoisomerases resolve DNA topological constraints and facilitate neuronal long gene expression. Conversely, the Rett syndrome protein, methyl-CpG-binding protein 2 (MeCP2), can transcriptionally repress long genes. How these factors regulate long genes is not well understood, and whether they interact is not known. Here, we identify and map a functional interaction between MeCP2 and topoisomerase IIβ (TOP2β) in mouse neurons. We profile neuronal TOP2β activity genome wide, detecting enrichment at regulatory regions and gene bodies of long genes, including MeCP2-regulated genes. We show that loss and overexpression of MeCP2 alter TOP2β activity at MeCP2-regulated genes. These findings uncover a mechanism of TOP2β inhibition by MeCP2 in neurons and implicate TOP2β dysregulation in disorders caused by MeCP2 disruption.

38096053

A spermidine riboswitch class in bacteria exploits a close variant of an aptamer for the enzyme cofactor S-adenosylmethionine.

Natural polyamines such as spermidine and spermine cations have characteristics that make them highly likely to be sensed by riboswitches, such as their general affinity to polyanionic RNA and their broad contributions to cell physiology. Despite previous claims that polyamine riboswitches exist, evidence of their biological functions has remained unconvincing. Here, we report that rare variants of bacterial S-adenosylmethionine-I (SAM-I) riboswitches reject SAM and have adapted to selectively sense spermidine. These spermidine-sensing riboswitch variants are associated with genes whose protein products are directly involved in the production of spermidine and other polyamines. Biochemical and genetic assays demonstrate that representatives of this riboswitch class robustly function as genetic "off" switches, wherein spermidine binding causes premature transcription termination to suppress the expression of polyamine biosynthetic genes. These findings confirm the existence of natural spermidine-sensing riboswitches in bacteria and expand the list of variant riboswitch classes that have adapted to bind different ligands.

38096054

Reduced lysosomal density in neuronal dendrites mediates deficits in synaptic plasticity in Huntington's disease.

Huntington's disease (HD) usually causes cognitive disorders, including learning difficulties, that emerge before motor symptoms. Mutations related to lysosomal trafficking are linked to the pathogenesis of neurological diseases, whereas the cellular mechanisms remain elusive. Here, we discover a reduction in the dendritic density of lysosomes in the hippocampus that correlates with deficits in synaptic plasticity and spatial learning in early CAG-140 HD model mice. We directly manipulate intraneuronal lysosomal positioning with light-induced CRY2:CIB1 dimerization and demonstrate that lysosomal abundance in dendrites positively modulates long-term potentiation of glutamatergic synapses onto the neuron. This modulation depends on lysosomal Ca²⁺ release, which further promotes endoplasmic reticulum (ER) entry into spines. Importantly, optogenetically restoring lysosomal density in dendrites rescues the synaptic plasticity deficit in hippocampal slices of CAG-140 mice. Our data reveal dendritic lysosomal density as a modulator of synaptic plasticity and suggest a role of lysosomal mispositioning in cognitive decline in HD.

38096052

Combinatorial immune refocusing within the influenza hemagglutinin RBD improves cross-neutralizing antibody responses.

The receptor-binding domain (RBD) of influenza virus hemagglutinin (HA) elicits potently neutralizing yet mostly strain-specific antibodies. Here, we evaluate the ability of several immunofocusing techniques to enhance the functional breadth of vaccine-elicited immune responses against the HA RBD. We present a series of "trihead" nanoparticle immunogens that display native-like closed trimeric RBDs from the HAs of several H1N1 influenza viruses. The series includes hyperglycosylated and hypervariable variants that incorporate natural and designed sequence diversity at key positions in the receptor-binding site periphery. Nanoparticle immunogens displaying triheads or hyperglycosylated triheads elicit higher hemagglutination inhibition (HAI) and neutralizing activity than the corresponding immunogens lacking either trimer-stabilizing mutations or hyperglycosylation. By contrast, mosaic nanoparticle display and antigen hypervariation do not significantly alter the magnitude or breadth of vaccine-elicited antibodies. Our results yield important insights into antibody responses against the RBD and the ability of several structure-based immunofocusing techniques to influence vaccine-elicited antibody responses.

38096055

Nuclear factor Y is a pervasive regulator of neuronal gene expression.

Nervous system function relies on the establishment of complex gene expression programs that provide neuron-type-specific and core pan-neuronal features. These complementary regulatory paradigms are controlled by terminal selector and parallel-acting transcription factors (TFs), respectively. Here, we identify the nuclear factor Y (NF-Y) TF as a pervasive direct and indirect regulator of both neuron-type-specific and pan-neuronal gene expression. Mapping global NF-Y targets reveals direct binding to the cis-regulatory regions of pan-neuronal genes and terminal selector TFs. We show that NFYA-1 controls pan-neuronal gene expression directly through binding to CCAAT boxes in target gene promoters and indirectly by regulating the expression of terminal selector TFs. Further, we find that NFYA-1 regulation of neuronal gene expression is important for neuronal activity and motor function. Thus, our research sheds light on how global neuronal gene expression programs are buffered through direct and indirect regulatory mechanisms.

38096056

Ferroptosis-protective membrane domains in quiescence.

Quiescence is a common cellular state, required for stem cell maintenance and microorganismal survival under stress conditions or starvation. However, the mechanisms promoting quiescence maintenance remain poorly known. Plasma membrane components segregate into distinct microdomains, yet the role of this compartmentalization in quiescence remains unexplored. Here, we show that flavodoxin-like proteins (FLPs), ubiquinone reductases of the yeast eisosome membrane compartment, protect quiescent cells from lipid peroxidation and ferroptosis. Eisosomes and FLPs expand specifically in respiratory-active quiescent cells, and mutants lacking either show accelerated aging and defective quiescence maintenance and accumulate peroxidized phospholipids with monounsaturated or polyunsaturated fatty acids (PUFAs). FLPs are essential for the extramitochondrial regeneration of the lipophilic antioxidant ubiquinol. FLPs, alongside the Gpx1/2/3 glutathione peroxidases, prevent iron-driven, PUFA-dependent ferroptotic cell death. Our work describes ferroptosis-protective mechanisms in yeast and introduces plasma membrane compartmentalization as an important factor in the long-term survival of quiescent cells.

38096057

Sequestration of translation initiation factors in p62 condensates.

Selective autophagy mediates the removal of harmful material from the cytoplasm. This cargo material is selected by cargo receptors, which orchestrate its sequestration within double-membrane autophagosomes and subsequent lysosomal degradation. The cargo receptor p62/SQSTM1 is present in cytoplasmic condensates, and a fraction of them are constantly delivered into lysosomes. However, the molecular composition of the p62 condensates is incompletely understood. To obtain insights into their composition, we develop a method to isolate these condensates and find that p62 condensates are enriched in components of the translation machinery. Furthermore, p62 interacts with translation initiation factors, and eukaryotic initiation factor 2α (eIF2α) and eIF4E are degraded by autophagy in a p62-dependent manner. Thus, p62-mediated autophagy may in part be linked to down-regulation of translation initiation. The p62 condensate isolation protocol developed here may facilitate the study of their contribution to cellular quality control and their roles in health and disease.

38096058

Antigen spacing on protein nanoparticles influences antibody responses to vaccination.

Immunogen design approaches aim to control the specificity and quality of antibody responses elicited by next-generation vaccines. Here, we use computational protein design to generate a nanoparticle vaccine platform based on the receptor-binding domain (RBD) of influenza hemagglutinin (HA) that enables precise control of antigen conformation and spacing. HA RBDs are presented as either monomers or native-like closed trimers that are connected to the underlying nanoparticle by a rigid linker that is modularly extended to precisely control antigen spacing. Nanoparticle immunogens with decreased spacing between trimeric RBDs elicit antibodies with improved hemagglutination inhibition and neutralization potency as well as binding breadth across diverse H1 HAs. Our "trihead" nanoparticle immunogen platform provides insights into anti-HA immunity, establishes antigen spacing as an important parameter in structure-based vaccine design, and embodies several design features that could be used in next-generation vaccines against influenza and other viruses.

38096059

Synonymous codon usage regulates translation initiation.

Nonoptimal synonymous codons repress gene expression, but the underlying mechanisms are poorly understood. We and others have previously shown that nonoptimal codons slow translation elongation speeds and thereby trigger messenger RNA (mRNA) degradation. Nevertheless, transcript levels are often insufficient to explain protein levels, suggesting additional mechanisms by which codon usage regulates gene expression. Using reporters in human and Drosophila cells, we find that transcript levels account for less than half of the variation in protein abundance due to codon usage. This discrepancy is explained by translational differences whereby nonoptimal codons repress translation initiation. Nonoptimal transcripts are also less bound by the translation initiation factors eIF4E and eIF4G1, providing a mechanistic explanation for their reduced initiation rates. Importantly, translational repression can occur without mRNA decay and deadenylation, and it does not depend on the known nonoptimality sensor, CNOT3. Our results reveal a potent mechanism of regulation by codon usage where nonoptimal codons repress further rounds of translation.

38096061

Protocol for precision editing of endogenous Chlamydomonas reinhardtii genes with CRISPR-Cas.

CRISPR-Cas genome engineering in the unicellular green algal model Chlamydomonas reinhardtii has until recently suffered from low integration efficiencies despite traditional genetics being well established. Here, we present a protocol for efficient homology-directed knockin mutagenesis in all commonly used strains of Chlamydomonas. We describe steps for scarless integration of fusion tags and sequence modifications of almost all proteins without the need for a preceding mutant line. We further empower this genetic-editing approach by efficient crossing and highly robust screening protocols. For complete details on the use and execution of this protocol, please refer to Nievergelt et&#160;al. (2023).¹.

38096060

Protocol for cross-platform characterization of human and murine extracellular vesicles and particles.

Characterization of isolated extracellular vesicles and particles (EVPs) is crucial for determining functions and biomarker potential. Here, we present a protocol to analyze size, number, morphology, and EVP protein cargo and to validate EVP proteins in both humans and mice. We describe steps for nanoparticle tracking analysis, transmission electron microscopy, single-EVP immunodetection, EVP proteomic mass spectrometry and bioinformatic analysis, and EVP protein validation by ExoELISA and western blot analysis. This allows for EVP cross-validation across different platforms. For complete details on the use and execution of this protocol, please refer to Hoshino et&#160;al.¹.

38096062

A KDPG sensor RccR governs Pseudomonas aeruginosa carbon metabolism and aminoglycoside antibiotic tolerance.

Pseudomonas aeruginosa harbors sophisticated transcription factor (TF) networks to coordinately regulate cellular metabolic states for rapidly adapting to changing environments. The extraordinary capacity in fine-tuning the metabolic states enables its success in tolerance to antibiotics and evading host immune defenses. However, the linkage among transcriptional regulation, metabolic states and antibiotic tolerance in P. aeruginosa remains largely unclear. By screening the P. aeruginosa TF mutant library constructed by CRISPR/Cas12k-guided transposase, we identify that rccR (PA5438) is a major genetic determinant in aminoglycoside antibiotic tolerance, the deletion of which substantially enhances bacterial tolerance. We further reveal the inhibitory roles of RccR in pyruvate metabolism (aceE/F) and glyoxylate shunt pathway (aceA and glcB), and overexpression of aceA or glcB enhances bacterial tolerance. Moreover, we identify that 2-keto-3-deoxy-6-phosphogluconate (KDPG) is a signal molecule that directly binds to RccR. Structural analysis of the RccR/KDPG complex reveals the detailed interactions. Substitution of the key residue R152, K270 or R277 with alanine abolishes KDPG sensing by RccR and impairs bacterial growth with glycerol or glucose as the sole carbon source. Collectively, our study unveils the connection between aminoglycoside antibiotic tolerance and RccR-mediated central carbon metabolism regulation in P. aeruginosa, and elucidates the KDPG-sensing mechanism by RccR.

38096063

Full dynamic control of dairy wastewater treatment by aerobic granular sludge using electric conductivity and oxygen uptake rate.

The objective of the current study was to determine the applicability of a sensor-based dynamic control strategy for the treatment of real variable dairy wastewater by aerobic granular sludge (AGS) performing enhanced biological phosphorus removal (EBPR). Two parallel sequencing batch reactors (SBRs) were set up that used only an anaerobic feast/aerobic famine microbial selection strategy to successfully obtain sludge granulation. SBR-STA used a fixed cycle length, while the duration of the reaction steps in SBR-DYN was variable. The control strategy was based solely on (derived) signals from low-cost and common sensors. The profile of the electric conductivity during the anaerobic reaction step was related to the microbial release of phosphate (PO₄-P) and the associated uptake of dissolved organic carbon (DOC) by polyphosphate-accumulating organisms (PAOs). Control of the aerobic reaction step was based on the oxygen uptake rate (OUR). This resulted in a dynamic reactor operation with significant efficiency gains, such as 32% shorter cycle times and 42% higher sludge loading rates without impairing the effluent quality. These results extend the existing potential of indirect control strategies to full biological nutrient removal processes, which may be of great assistance to the operators and designers of industrial installations.

38096064

Life-cycle analysis of environmental loads from household septic systems in Japan focusing on effluent water discharge.

Various types of small-scale wastewater treatment systems are widely used in rural areas, and life-cycle assessment (LCA) should be performed to evaluate their environmental performance. In this study, septic systems were first classified into five categories based on their wastewater treatment performance. Effluent samples from actual systems were collected, and their water qualities were determined. A model to evaluate the environmental load from the septic systems using LCA methods was then established. The water-quality values obtained were input to the model, and the life-cycle environmental costs of the classified septic systems were calculated. The mean environmental load of the effluent during the operation stage was 37.6%, confirming that evaluation of an effluent discharge inventory using LCA, inspection, and water-quality monitoring to improve operations is critical for reducing the environmental load. The operation stage accounts for over 99% of the involved eutrophication, biological toxicity, and toxic chemicals, which are strongly related to the quality of the effluent. Evaluation of the effluent discharge inventory using LCA is of great significance, even for small-scale wastewater treatment systems. The set of procedures developed in this study can be used to calculate comprehensive environmental impacts at wastewater treatment plants.

38096065

Distribution pattern of dissolved organic matter in pore water of sediments from three typical areas of western Lake Taihu and its environmental implications.

The migration, transformation, and accumulation of dissolved organic matter (DOM) in pore water of sediment cores play a pivotal role in lacustrine carbon cycling. In order to understand the dynamics of DOM in the sediments of large shallow eutrophic lakes, we examined the vertical profiles of DOM and the benthic fluxes of dissolved organic carbon (DOC) in sediment cores located in algae accumulated, dredged, and central areas of eutrophic Lake Taihu, China. Optical properties showed the significant influence of terrestrial inputs on the DOM components of pore water in the algae accumulated area but an abundant accumulation of autochthonous DOM in the central area. The benthic fluxes of DOC ranging from -458.2 to -139.4 mg&#183;m^-2&#183;d^-1 in the algae accumulated area displayed an opposite diffusion direction to the other two areas. The flux ranges of 9.5-31.2 mg&#183;m^-2&#183;d^-1 in the dredged area and 14.6-48.0 mg&#183;m^-2&#183;d^-1 in the central area were relatively smaller than those in the previously reported lake ecosystems with low trophic levels. Dredging engineering disturbed the pre-dredging distribution patterns of DOM in sediment cores. The deposition, accumulation, and transformation of massive algae scums in eutrophic lakes probably promoted the humification degree of sediments.

38096066

Assessing the efficacy and mechanisms of glycol-contaminated water treatment through floating treatment wetlands.

The growing concerns surrounding water pollution and the degradation of ecosystems worldwide have led to an increased use of nature-based solutions (NbSs). This study assessed the feasibility of using floating treatment wetlands (FTWs) as an NbS to treat propylene glycol-contaminated water and quantitatively investigated different removal pathways. With an environmentally relevant concentration of propylene glycol (1,250 mg/L), FTWs containing Acorus calamus and mixed species demonstrated the highest average glycol mass removal efficacy (99%), followed by Carex acutiformis (98%), Juncus effusus (93%), and the control group without plants (10%) after 1 week. Additional mesocosm-scale experiments with varying FTW configurations, including surface coverage to reduce evaporation and photodegradation processes, and the addition of antibiotics to inhibit microbial activity, were conducted to quantify glycol removal pathways. Mass balance analysis results revealed that microbial biodegradation (33.3-39.7%) and plant uptake (37.9-45.2%) were the primary pathways for glycol removal. Only 15.5-19.5% of the glycol removal via evaporation and photodegradation was accounted in this study, which may be attributed to the mesocosm experimental setup (static water and no wind). Aligned with the broader discussion regarding biodiversity improvements and carbon storage capacity, this study demonstrated that FTWs are an environmentally friendly and effective NbS for addressing glycol-contaminated water.

38096067

Alleviating sample imbalance in water quality assessment using the VAE-WGAN-GP model.

Water resources are essential for sustaining human life and promoting sustainable development. However, rapid urbanization and industrialization have resulted in a decline in freshwater availability. Effective prevention and control of water pollution are essential for ecological balance and human well-being. Water quality assessment is crucial for monitoring and managing water resources. Existing machine learning-based assessment methods tend to classify the results into the majority class, leading to inaccuracies in the outcomes due to the prevalent issue of imbalanced class sample distribution in practical scenarios. To tackle the issue, we propose a novel approach that utilizes the VAE-WGAN-GP model. The VAE-WGAN-GP model combines the encoding and decoding mechanisms of VAE with the adversarial learning of GAN. It generates synthetic samples that closely resemble real samples, effectively compensating data of the scarcity category in water quality evaluation. Our contributions include (1) introducing a deep generative model to alleviate the issue of imbalanced category samples in water quality assessment, (2) demonstrating the faster convergence speed and improved potential distribution learning ability of the proposed VAE-WGAN-GP model, (3) introducing the compensation degree concept and conducting comprehensive compensation experiments, resulting in a 9.7% increase in the accuracy of water quality assessment for multi-classification imbalance samples.

38096068

Water rights reform and water-saving irrigation: evidence from China.

As a market-based water resource management, the water rights reform (WRR) will allocate water rights to water users and allow water users to trade water rights, which can realize the reallocation across water users. In this context, the adoption of water-saving irrigation (WSI) is an important technical form to adapt to the reform. Based on this, this paper studies the impacts of the WRR on WSI using the difference-in-differences (DID) strategy. The results show that the WRR could increase the land area for WSI by an average of 13.63%. The WRR could promote the expansion of high-efficiency irrigation mainly because the WRR could promote the expansion of spray and drip irrigation areas, and micro-irrigation land areas, which are high-efficiency water-saving irrigation technologies. In addition, the WRR also could improve agricultural production by increasing agricultural water productivity and planting area (including the sown area of grain crops and cash crops), but the WRR does not reduce agricultural water extraction. Therefore, the WRR could increase agricultural production without increasing agricultural water extraction.

38096069

How do aeration mode and influent carbon/nitrogen ratio affect pollutant removal, gas emission, functional genes and bacterial community in subsurface wastewater infiltration systems?

This study investigated the influences of aeration mode and influent carbon/nitrogen ratio on matrix oxygen concentration, pollutant removal, greenhouse gas emission, functional gene abundances and bacterial community in subsurface wastewater infiltration systems (SWISs). Intermittent or continuous aeration enhanced oxygen supply at 0.6 m depth in the matrix, which improved organics removal, nitrogen removal, the abundances of bacterial 16S rRNA, amoA, nxrA, narG, napA, nirK, nirS, norB, nosZ genes, bacterial community Alpha diversity, the relative abundances of Actinobacteria at 0.6 m depth, the relative abundances of Chloroflexi, Gemmatimonadetes, Bacteroidetes and Firmicutes at 0.9 and 1.2 m depth and reduced CH₄ and N₂O conversion efficiencies, the abundance of mcrA gene with carbon/nitrogen ratio of 12 and 16 compared with non-aeration. Increased carbon/nitrogen ratio resulted in higher TN removal efficiencies and lower CH₄ and N₂O conversion efficiencies in aeration SWISs than those in non-aeration SWIS. Intermittent aeration SWIS obtained high removal efficiencies of 83.2, 85.4 and 90.8% for TN, NH₄⁺ -N and COD and low conversion efficiency of 0.21 and 0.65% for N₂O and CH₄ with optimal carbon/nitrogen ratio of 12. However, high TN (82.6%), NH₄⁺ -N (84.9%) and COD (92.2%) removal efficiencies and low CH₄ (0.67%) and N₂O (0.23%) conversion efficiencies were achieved in continuous aeration SWIS with carbon/nitrogen ratio of 16.

38096070

Assessment of sustainable drainage strategies in urban water systems using urban water metabolism and multi-criteria decision analyses.

The simulation of urban water metabolism (UWM) allows for the tracking of all water, energy, and material flows within urban water systems (UWSs) and the quantification of their performance, including emissions into the air, water, and soil. This study evaluates seven drainage strategies (DSs) within conventional and sustainable urban drainage systems (SUDSs) using UWM and multicriteria decision analysis (MCDA). The DSs were designed to assess their corresponding UWM performances, employing key performance indicators (KPIs) related to sewer system balance, energy consumption, greenhouse gas (GHG) emissions, acidification, eutrophication, contamination, and sludge production. The outcomes were ranked using the compromise programming MCDA model. The top three strategies were permeable pavements, green spaces, and infiltration trenches and sand filters. The approach used for the evaluation of DS can provide valuable insights for decision-makers, support the promotion of sustainable integrated UWS management and adaptation, and accommodate design variations in urban drainage. Sensitivity analysis on uncertain parameters and KPI selection also contributed to robust and sustainable urban drainage solutions.