Miracle-dz/UniFAR-FTUs huggingface dataset:
Developing an Integrated Longitudinal Dataset for Patient-Centered Outcome Measures in Cost-Related Medication Nonadherence

Background: Cost-related medication nonadherence (CRN) is an important patient-centered outcome measure. Longitudinal follow-up of CRN is rare. Objective: We propose to develop a novel integrated dataset to study CRN longitudinally. Research Design: A dataset of 2000 Medicare beneficiaries at high risk of hospitalization surveyed quarterly on CRN and followed up individually for 8 quarters between 2013 and 2018 was linked to Medicare files. A metric of CRN categorizing persistent, intermittent, and transient CRN during the 8 quarters was developed. An ordered logit model and a logit model were developed to assess the factors influencing CRN overall and persistent CRN, respectively. Results: A total of 1761 patients were included in the analysis, among whom 869 (49.3%) reported CRN at least once in the 8-quarter study period, 178 (10%) reported persistent CRN, 395 (22.4%) reported intermittent CRN, and 296 (16.8%) reported transient CRN. The conditional effect in the logit model for persistent CRN revealed that baseline dual eligibility was negatively associated (adjusted odds ratio = 0.45, P < 0.01) and depression positively associated (adjusted odds ratio = 1.55, P = 0.01) with persistent CRN. The marginal analysis in the ordered logit model revealed a clear pattern of higher probabilities of persistent and intermittent CRN at younger ages while transient CRN was flat. Among the 252 subjects who were deceased, 31 (12.3%) reported persistent CRN, compared with 147 (9.74%) who were alive (P = 0.21 by χ2 test). Conclusions: A significant number of patients reported persistent CRN, including those who were at the end of life. Research is critically needed to understand behavioral patterns among the younger Medicare population.
Formica fusca ants use aphid supplemented foods to alleviate effects during the acute phase of a fungal infection

The modulation of nutritional intake by animals to combat pathogens is a behaviour that is receiving increasing attention. Ant studies using isolated compounds or nutrients in artificial diets have revealed a lot of the dynamics of the behaviour, but natural sources of medicine are yet to be confirmed. Here we explored whether Formica fusca ants exposed to a fungal pathogen can use an artificial diet containing foods spiked with different concentrations of crushed aphids for a medicinal benefit. We show that pathogen exposed colonies adjusted their diet to include more aphid supplemented foods during the acute phase of the infection, reducing the mortality caused by the disease. However, the benefit was only attained when having access to a varied diet, suggesting that while aphids contain nutrients or compounds beneficial against infection, it is a part of a complex nutritional system where costs and benefits of compounds and nutrients need to be moderated.
Tailored climate indices for climate‐proofing operational forestry applications in Sweden and Finland

In the light of the observed and projected regional warming trend in northern Europe, new recommendations are needed for climate‐proofing the selection of forest trees seedlings and growth estimates. Drawing on recently developed climate data sets, both observations of the recent past, and scenarios for the future we present and analyse a set of climate indices tailored to be used for operational forestry applications.
Dosimetric Comparison of Postmastectomy Radiotherapy Plans for Synchronous Bilateral Breast Cancer, Including Regional Lymph Node Irradiation

Background To investigate the optimal radiotherapy plans for synchronous bilateral breast cancer (SBBC) patients receiving postmastectomy radiotherapy (PMRT), including regional lymph node irradiation (RNI). Methods For 10 SBBC patients who underwent bilateral mastectomy and received bilateral PMRT with RNI, 3 integrally optimized plans with a single isocenter were designed for each patient in this retrospective study: intensity-modulated radiation therapy (IMRT) with 9 fixed beams (9F-IMRT), volumetric-modulated arc therapy (VMAT) with 2 pairs of half arcs (2F-VMAT), VMAT with 2 pairs of outer tangential arcs and 1 pair of 200-degree arcs (3F-VMAT). The paired t-test (in the case of normal variables) and Friedman's test (in the case of nonnormal variables) were applied to compare the planning target volumes (PTVs) and organs at risk (OARs) values of the 3 techniques. Results The 3 techniques provided adequate target dose coverage and comparable results for PTVs. For OARs, 3F-VMAT yielded the lowest mean or median values of the left lung (15.02 ± 1.57 Gy) and right lung (14.91 ± 1.14 Gy), heart (6.19 (1.96) Gy), coronary artery (15.96 ± 5.76 Gy) and liver (8.10 ± 2.70 Gy) which were significantly different from those of 9F-IMRT and 2F-VMAT. The percentages of volume at various doses (V5, V10, V20, and V30) of 3F-VMAT plans were also lower than or comparable with those of 9F-IMRT and 2F-VMAT. The monitor units (MUs) of 3F-VMAT were 31% higher than those of 9F-IMRT and comparable with those of 2F-VMAT; however, there were time savings and halved beam-on times (BOTs) compared to 9F-IMRT. Conclusions The 3F-VMAT plan yielded comparable target coverage compared with 9F-IMRT and 2F-VMAT, was superior in dose sparing of normal tissues and enabled shorter BOTs, improving treatment efficiency. In our research, 3F-VMAT was the optimal radiotherapy technique for SBBC patients receiving PMRT including RNI.
A computational analysis of Telegram’s narrative affordances

This paper offers an empirical investigation of the narrative profiles afforded by public, one-way messaging channels on Telegram. We define these narrative profiles in terms of the contribution of messages to a thread of narrative continuity, and test the double hypothesis that 1) Telegram channels afford diverse narrative profiles, corresponding with distinct vernacular uses of the platform’s features, and that 2) networks of Telegram channels sampled from thematically distinct seed channels lean towards distinct profiles. To this end, we analyse the textual contents of 2,724,187 messages from 492 public messaging channels spanning five thematic networks. Our computational method builds up the narrative profiles by scrolling down channels and classifying each message according to its narrative fit with the surrounding messages. We thus find that Telegram channels afford several distinct storytelling profiles, which tend to defy traditional notions of narrative coherence. We furthermore observe correspondences between the thematic orientations of channels and their narrative profiles, with a preference for disparate profiles in channels pertaining to conspiracy theories and far-right counterculture, a preference for coherent profiles in channels pertaining to cryptocurrencies, and mixed types in channels pertaining to disinformation about the war in Ukraine. These empirical observations thus inform our further theorization on how platform features allow users to construct and shape narratives online.
Point-NAS: A Novel Neural Architecture Search Framework for Point Cloud Analysis

Recently, point-based networks have exhibited extraordinary potential for 3D point cloud processing. However, owing to the meticulous design of both parameters and hyperparameters inside the network, constructing a promising network for each point cloud task can be an expensive endeavor. In this work, we develop a novel one-shot search framework called Point-NAS to automatically determine optimum architectures for various point cloud tasks. Specifically, we design an elastic feature extraction (EFE) module that serves as a basic unit for architecture search, which expands seamlessly alongside both the width and depth of the network for efficient feature extraction. Based on the EFE module, we devise a searching space, which is encoded into a supernet to provide a wide number of latent network structures for a particular point cloud task. To fully optimize the weights of the supernet, we propose a weight coupling sandwich rule that samples the largest, smallest, and multiple medium models at each iteration and fuses their gradients to update the supernet. Furthermore, we present a united gradient adjustment algorithm that mitigates gradient conflict induced by distinct gradient directions of sampled models and supernet, thus expediting the convergence of the supernet and assuring that it can be comprehensively trained. Pursuant to the provided techniques, the trained supernet enables a multitude of subnets to be incredibly well-optimized. Finally, we conduct an evolutionary search for the supernet under resource constraints to find promising architectures for different tasks. Experimentally, the searched Point-NAS with weights inherited from the supernet realizes outstanding results across a variety of benchmarks. i.e., 94.2% and 88.9% overall accuracy under ModelNet40 and ScanObjectNN, 68.6% mIoU under S3DIS, 63.6% and 69.3% mAP@0.25 under SUN RGB-D and ScanNet V2 datasets.
Use of Assistive Technology for Persons with Psychosocial Disability: Systematic Review

Background Assistive technology (AT) refers to assistive products (AP) and associated systems and services that are relevant for function, independence, well-being, and quality of life for individuals with disabilities. There is a high unmet need for AT for persons with disabilities and this is worse for persons with cognitive and mental or psychosocial disabilities (PDs). Further, information and knowledge on AT for PDs is limited. Objective The aim of this review was to explore the pattern of AT use among persons with PDs and its associated socioeconomic and health benefits. Methods The review was reported according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), and we conducted systematic searches in the 4 databases: PubMed, Embase.com, APA PsycInfo (Ebsco), and Web of Science (Core Collection) with the following index terms: “Assistive Technology,” “Self-Help Devices,” “Quality of Life,” “Activities of Daily Living,” “Mental Disorders. ” We included only AT individuals with PDs can independently use without reliance on a provider. Identified papers were exported to EndNote (Clarivate) and we undertook a narrative synthesis of the included studies. Results In total, 5 studies were included in the review which reported use of different AT for schizophrenia, bipolar disorder, depression and anxiety disorders. The APs described in the included studies are Palm tungsten T3 handheld computer, MOBUS, personal digital assistant, automated pill cap, weighted chain blankets, and smartphone function. All the AT products identified in the studies were found to be easily usable by individuals with PDs. The APs reported in the included studies have broad impact and influence on social function, productivity, and treatment or management. The studies were heterogeneous and were all conducted in high-income countries. Conclusions Our study contributes to and strengthens existing evidence on the relevance of AT for PDs and its potential to support socioeconomic participation and health. Although AT has the potential to improve function and participation for individuals with PDs; this review highlights that research on the subject is limited. Further research and health policy changes are needed to improve research and AT service provision for individuals with PDs especially in low-income settings. Trial Registration PROSPERO CRD42022343735; https://www.crd. york.ac. uk/prospero/display_record. php? RecordID=343735
Surface properties of membrane materials and their role in cell adhesion and biofilm formation of microalgae

Abstract In this study, the effects of surface properties of membrane materials on microalgae cell adhesion and biofilm formation were investigated using Chlorella vulgaris and five different types of membrane materials under hydrodynamic conditions. The results suggest that the contact angle (hydrophobicity), surface free energy, and free energy of cohesion of membrane materials alone could not sufficiently elucidate the selectivity of microalgae cell adhesion and biofilm formation on membrane materials surfaces, and membrane surface roughness played a dominant role in controlling biofilm formation rate, under tested hydrodynamic conditions. A lower level of biofilm EPS production was generally associated with a larger amount of biofilm formation. The zeta potential of membrane materials could enhance initial microalgae cell adhesion and biofilm formation through salt bridging or charge neutralization mechanisms. Graphical Abstract
Overexpression of JNK‐associated leucine zipper protein induces chromosomal instability through interaction with dynein light intermediate chain 1

The c‐Jun N‐terminal kinase‐associated leucine zipper protein (JLP), a scaffold protein of mitogen‐activated protein kinase signaling pathways, is a multifunctional protein involved in a variety of cellular processes. It has been reported that JLP is overexpressed in various types of cancer and is expected to be a potential therapeutic target. However, whether and how JLP overexpression affects non‐transformed cells remain unknown. Here, we aimed to investigate the effect of JLP overexpression on chromosomal stability in human non‐transformed cells and the mechanisms involved. We found that aneuploidy was induced in JLP‐overexpressed cells. Moreover, we established JLP‐inducible cell lines and observed an increased frequency of chromosome missegregation, reduced time from nuclear envelope breakdown to anaphase onset, and decreased levels of the spindle assembly checkpoint (SAC) components at the prometaphase kinetochore in cells overexpressing the wild‐type JLP. In contrast, we observed that a point mutant JLP lacking the ability to interact with dynein light intermediate chain 1 (DLIC1) failed to induce chromosomal instability. Our results suggest that overexpression of the wild‐type JLP facilitates premature SAC silencing through interaction with DLIC1, leading to aneuploidy. This study provides a novel insight into the mechanism through which JLP overexpression is associated with cancer development and progression.
Accuracy and Response Time for Modus Ponens Syllogisms Vary by Controversial Topic and Categorical Emotion

Researchers have documented differential effects of emotion on cognitive processes, debating whether emotion may increase or decrease the response time and accuracy of logical thinking. The current study proposed that differences may be due to variability occurring across topic and categorical emotions, such that assessment of several basic emotional responses in the context of performing logical reasoning tasks may provide an initial indication of these differences. Utilizing modus ponens syllogisms composed of controversial statements, the current study evoked a variety of emotional responses and tested the accuracy of participants’ basic logical thinking. Results indicated that logical skills were largely preserved despite the topic and emotion, nonetheless, accuracy varied across syllogism type (controversial vs. control), with increased accuracy on controversial syllogisms. Syllogisms rated as evoking no emotion were answered more accurately than those that evoked any emotion, with disgust and anger associated with less accuracy than no emotion and gladness associated with increased accuracy. Response times also differed across syllogism type, emotion, and emotion intensity.
Impact of Co-occurring Cancer-Related and Wound-Specific Symptoms on Functional Performance Among Patients With Advanced Cancer and Malignant Fungating Wounds

PURPOSE: The purpose of this study was to examine the impact of co-occurring symptoms in patients with advanced cancer and malignant fungating wounds (MFWs) on palliative and functional performance, and the feasibility of collecting self-reported data in this population. DESIGN: This was an exploratory, observational study. Quantitative surveys and qualitative semistructured interviews using a phenomenological approach were employed. SUBJECTS AND SETTING: The sample comprised 5 adults with advanced breast, oral, and ovarian cancer and MFWs. Participants were recruited from an urban outpatient cancer center, hospice, and wound center located in the Northeastern United States. METHODS: Demographic and clinical characteristics were collected, and self-reported symptom and functional performance data measured. Descriptive statistics, T scores, confidence intervals, and standard deviation were calculated for quantitative data. One-to-one semistructured interviews were conducted by the first author to gain deeper understanding of participants' symptom experience. Qualitative data were analyzed using an iterative and inductive thematic data analysis method to identify major themes. RESULTS: The mean cancer-related and wound-specific symptom occurrence was 17 (SD = 5.56) and 4 (SD = 1.26), respectively. Distressing, extensive co-occurring symptom burdens were experienced by all participants; they also reported poor functional performance and diminished palliative performance. Qualitative findings supported quantitative results. CONCLUSIONS: Findings suggest that co-occurring cancer-related and wound-specific symptoms have incremental and negative impact on functional performance. The use of multiple data collection methods was feasible, including self-reported data in this advanced cancer population.
Multiply robust causal inference of the restricted mean survival time difference

The hazard ratio (HR) remains the most frequently employed metric in assessing treatment effects on survival times. However, the difference in restricted mean survival time (RMST) has become a popular alternative to the HR when the proportional hazards assumption is considered untenable. Moreover, independent of the proportional hazards assumption, many comparative effectiveness studies aim to base contrasts on survival probability rather than on the hazard function. Causal effects based on RMST are often estimated via inverse probability of treatment weighting (IPTW). However, this approach generally results in biased results when the assumed propensity score model is misspecified. Motivated by the need for more robust techniques, we propose an empirical likelihood-based weighting approach that allows for specifying a set of propensity score models. The resulting estimator is consistent when the postulated model set contains a correct model; this property has been termed multiple robustness. In this report, we derive and evaluate a multiply robust estimator of the causal between-treatment difference in RMST. Simulation results confirm its robustness. Compared with the IPTW estimator from a correct model, the proposed estimator tends to be less biased and more efficient in finite samples. Additional simulations reveal biased results from a direct application of machine learning estimation of propensity scores. Finally, we apply the proposed method to evaluate the impact of intrapartum group B streptococcus antibiotic prophylaxis on the risk of childhood allergic disorders using data derived from electronic medical records from the Children’s Hospital of Philadelphia and census data from the American Community Survey.
Sexes in sync: phenotypic plasticity, sexual selection and phenological synchrony between the sexes in a wild hibernator

Desynchrony of phenological responses to climate change is a major concern for ecological communities. Potential uncoupling between one of the most fundamental divisions within populations, males and females, has not been well studied. To address this gap, we examined sex-specific plasticity in hibernation phenology in two populations of Columbian ground squirrels (Urocitellus columbianus). We find that both sexes display similar phenological plasticity to spring snowmelt dates in their timing of torpor termination and behavioural emergence from hibernation. As a result of this plasticity, the degree of protandry (i.e. males' emergences from hibernation preceding those of females) did not change significantly over the 27-year study. Earlier male behavioural emergence, relative to females, improved the likelihood of securing a breeding territory and increased annual reproductive success. Sexual selection favouring earlier male emergence from hibernation may maintain protandry in this population, but did not contribute to further advances in male phenology. Together, our results provide evidence that the sexes should remain synchronized, at least in response to the weather variation investigated here, and further support the role of sexual selection in the evolution of protandry in sexually reproducing organisms.
Environmental, sex-specific and genetic determinants of infant social behaviour in a wild primate

Affiliative social bonds are linked to fitness components in many social mammals. However, despite their importance, little is known about how the tendency to form social bonds develops in young animals, or if the timing of development is heritable and thus can evolve. Using four decades of longitudinal observational data from a wild baboon population, we assessed the environmental determinants of an important social developmental milestone in baboons—the age at which a young animal first grooms a conspecific—and we assessed how the rates at which offspring groom their mothers develops during the juvenile period. We found that grooming development differs between the sexes: female infants groom at an earlier age and reach equal rates of grooming with their mother earlier than males. We also found that age at first grooming for both sexes is weakly heritable (h2 = 0.043, 95% CI: 0.002–0.110). These results show that sex differences in grooming emerge at a young age; that strong, equitable social relationships between mothers and daughters begin very early in life; and that age at first grooming is heritable and therefore can be shaped by natural selection.
EMVC-2: an efficient single-nucleotide variant caller based on expectation maximization

Abstract Motivation Single-nucleotide variants (SNVs) are the most common type of genetic variation in the human genome. Accurate and efficient detection of SNVs from next-generation sequencing (NGS) data is essential for various applications in genomics and personalized medicine. However, SNV calling methods usually suffer from high computational complexity and limited accuracy. In this context, there is a need for new methods that overcome these limitations and provide fast reliable results. Results We present EMVC-2, a novel method for SNV calling from NGS data. EMVC-2 uses a multi-class ensemble classification approach based on the expectation–maximization algorithm that infers at each locus the most likely genotype from multiple labels provided by different learners. The inferred variants are then validated by a decision tree that filters out unlikely ones. We evaluate EMVC-2 on several publicly available real human NGS data for which the set of SNVs is available, and demonstrate that it outperforms state-of-the-art variant callers in terms of accuracy and speed, on average. Availability and implementation EMVC-2 is coded in C and Python, and is freely available for download at: https://github.com/guilledufort/EMVC-2. EMVC-2 is also available in Bioconda.