bluuebunny/crossref_metadata_2025 huggingface dataset:
Structural bases for blockade and activation of BK channels by Ba2+ ions
Authors: Srivastava Shubhra , Miranda Pablo , Giraldez Teresa , Zhu Jianghai , Cachau Raul E. , Holmgren Miguel
Published: September 2024

We studied the impact of Ba2+ ions on the function and structure of large conductance potassium (BK) channels. Ion composition has played a crucial role in the physiological studies of BK channels due to their ability to couple ion composition and membrane voltage signaling. Unlike Ca2+, which activates BK channels through all Regulator of K+Conductance (RCK) domains, Ba2+ has been described as specifically interacting with the RCK2 domain. It has been shown that Ba2+ also blocks potassium permeation by binding to the channel’s selectivity filter. The Cryo-EM structure of the Aplysia BK channel in the presence of high concentration Ba2+ here presented (PDBID: 7RJT) revealed that Ba2+ occupies the K+ S3 site in the selectivity filter. Densities attributed to K+ ions were observed at sites S2 and S4. Ba2+ ions were also found bound to the high-affinity Ca2+ binding sites RCK1 and RCK2, which agrees with functional work suggesting that the Ba2+ increases open probability through the Ca2+ bowl site (RCK2). A comparative analysis with a second structure here presented (PDBID: 7RK6), obtained without additional Ba2+, shows localized changes between the RCK1 and RCK2 domains, suggestive of coordinated dynamics between the RCK ion binding sites with possible relevance for the activation/blockade of the channel. The observed densities attributed to Ba2+ at RCK1 and RCK2 sites and the selectivity filter contribute to a deeper understanding of the structural basis for Ba2+'s dual role in BK channel modulation, adding to the existing knowledge in this field.
A new test for evaluation of marginal cognitive function deficits in idiopathic normal pressure hydrocephalus through expressing texture recognition by sound symbolic words
Authors: Kamohara Chihiro , Nakajima Madoka , Nozaki Yuji , Ieda Taiki , Kawamura Kaito , Horikoshi Kou , Miyahara Ryo , Akiba Chihiro , Ogino Ikuko , Karagiozov Kostadin L. , Miyajima Masakazu , Kondo Akihide , Sakamoto Maki
Published: September 2024

Introduction

The number of dementia patients is increasing with population aging. Preclinical detection of dementia in patients is essential for access to adequate treatment. In previous studies, dementia patients showed texture recognition difficulties. Onomatopoeia or sound symbolic words (SSW) are intuitively associated with texture impressions and are less likely to be affected by aphasia and description of material perception can be easily obtained. In this study, we aimed to create a test of texture recognition ability expressed by SSW to detect the presence of mild cognitive disorders.

Methods

The sound symbolic words texture recognition test (SSWTRT) is constructed from 12 close-up photos of various materials and participants were to choose the best SSW out of 8 choices to describe surface texture in the images in Japanese. All 102 participants seen in Juntendo University Hospital from January to August 2023 had a diagnosis of possible iNPH (age mean 77.9, SD 6.7). The answers were scored on a comprehensive scale of 0 to 1. Neuropsychological assessments included MMSE, FAB, and the Rey Auditory Verbal Learning Test (RAVLT), Pegboard Test, and Stroop Test from the EU-iNPH Grading Scale (GS). In study 1 the correlation between SSWTRT and the neuropsychological tests were analyzed. In study 2, participants were divided into two groups: the Normal Cognition group (Group A, n = 37) with MMSE scores of 28 points or above, and the Mild Cognitive Impairment group (Group B, n = 50) with scores ranging from 22 to 27 points, and its predictability were analyzed.

Results

In study 1, the total SSWTRT score had a moderate correlation with the neuropsychological test results. In study 2, there were significant differences in the SSWTRT scores between groups A and B. ROC analysis results showed that the SSWTR test was able to predict the difference between the normal and mildly impaired cognition groups.

Conclusion

The developed SSWTRT reflects the assessment results of neuropsychological tests in cognitive deterioration and was able to detect early cognitive deficits. This test not only relates to visual perception but is likely to have an association with verbal fluency and memory ability, which are frontal lobe functions.
Serotonin drives aggression and social behaviors of laboratory male mice in a semi-natural environment
Authors: Rivalan Marion , Alonso Lucille , Mosienko Valentina , Bey Patrik , Hyde Alexia , Bader Michael , Winter York , Alenina Natalia
Published: September 2024

Aggression is an adaptive social behavior crucial for the stability and prosperity of social groups. When uncontrolled, aggression leads to pathological violence that disrupts group structure and individual wellbeing. The comorbidity of uncontrolled aggression across different psychopathologies makes it a potential endophenotype of mental disorders with the same neurobiological substrates. Serotonin plays a critical role in regulating impulsive and aggressive behaviors. Mice lacking in brain serotonin, due to the ablation of tryptophan hydroxylase 2 (TPH2), the rate-limiting enzyme in serotonin synthesis, could serve as a potential model for studying pathological aggression. Home cage monitoring allows for the continuous observation and quantification of social and non-social behaviors in group-housed, freely-moving mice. Using an ethological approach, we investigated the impact of central serotonin ablation on the everyday expression of social and non-social behaviors and their correlations in undisturbed, group-livingTph2-deficient and wildtype mice. By training a machine learning algorithm on behavioral time series, “allogrooming”, “struggling at feeder”, and “eating” emerged as key behaviors dissociating one genotype from the other. AlthoughTph2-deficient mice exhibited characteristics of pathological aggression and reduced communication compared to wildtype animals, they still demonstrated affiliative huddle behaviors to normal levels. Altogether, such a distinct and dynamic phenotype ofTph2-deficient mice influenced the group's structure and the subsequent development of its hierarchical organization. These aspects were analyzed using social network analysis and the Glicko rating methods. This study demonstrates the importance of the ethological approach for understanding the global impact of pathological aggression on various aspects of life, both at the individual and group levels. Home cage monitoring allows the observation of the natural behaviors of mice in a semi-natural habitat, providing an accurate representation of real-world phenomena and pathological mechanisms. The results of this study provide insights into the neurobiological substrate of pathological aggression and its potential role in complex brain disorders.
Association between dietary mineral intakes and urine flow rate: data from the 2009–2018 National Health and Nutrition Examination Survey
Authors: Li Ming , Zhang Jiqian , Ding Jiasen , Gao Zhan
Published: September 2024

Background

Minerals play an important role in human health, but their effect on urinary function remains controversial. The aim of this study was to assess the association between dietary intake of minerals (Ca, P, Mg, Fe, Zn, Cu, Na, K, Se) and urine flow rate (UFR).

Methods

We conducted a cross-sectional study using the National Health and Nutrition Examination Survey (NHANES, 2009–2018) database. Multivariate regression and smooth curve fitting were used to investigate the association between dietary mineral intakes and UFR. Subgroup analyses and interaction tests were used to investigate whether this association was stable in the population.

Results

Our study involving 10,229 representative adult NHANES participants showed an association between Mg intake and UFR in a linear regression model for continuous variables. And in the model analysis of tertile categorical variables, we observed a positive association between six mineral intakes (Ca, Mg, Zn, Cu, Na, and K) and UFR. Smoothed curve fitting and threshold effect analysis further support the nonlinear relationship between mineral intakes and UFR. Subgroup analyses and interaction tests ensured the reliability and robustness of the findings.

Conclusion

This study examined the effects of nine dietary minerals on UFR and found that intake of Ca, Mg, Zn, Cu, Na, and K were positively correlated with UFR, suggesting that these minerals may have a positive effect on improving urinary function. In particular, Mg showed a more significant positive correlation with UFR in women, while Na showed a stronger positive correlation in diabetics. However, P, Fe and Se did not show significant correlations. In summary, although these findings provide a preliminary understanding of the relationship between dietary minerals and urinary function, further prospective studies are still necessary to validate these relationships and explore the physiologic mechanisms underlying them.
Donor human milk practice in Indonesia: a media content analysis
Authors: Pramono Andini , Hikmawati Alvia
Published: September 2024

Introduction

Donor human milk (DHM) is recommended as the second-best alternative form of supplementation when a mother is unable to breastfeed directly. However, little is known about the experience of mothers and families in the communities regarding accessing and donating expressed breastmilk in Indonesia. This study aimed to identify the experience related to donor human milk in the society in Indonesia.

Method

A search was conducted through six main online news portals. The keywords used included “donor human milk,” “expressed breastmilk,” and “wet nursing” in the Indonesian language, Bahasa Indonesia. A total of 107 articles were found, but only 20 articles were included for analysis using a qualitative media content analysis approach.

Results

In the study, the following five themes were identified: (1) the whys and wherefores of donor human milk, (2) national and religious-based regulations, (3) recommendations from authorized organizations, healthcare professionals, and Islamic scholars, (4) the negative impact from the lack of national regulations, and (5) contradictory feelings among mothers.

Conclusion

With the lack of detailed information on how to access or donate expressed human milk and the absence of a human milk bank in place, informal human milk sharing is inevitably occurring in the community. This has also raised concerns among authorized organizations, healthcare professionals, and Islamic scholars. Consequently, mothers, both donors and recipients, experienced negative impacts, which included contradictory feelings. Engaging with Islamic scholars and healthcare professionals to develop clear guidelines and regulations to enable mothers' and families' access and/or make contributions to DHM in a safe and accountable way is critical to prevent further problems from occurring in Indonesian society.
From gut to brain: unveiling probiotic effects through a neuroimaging perspective—A systematic review of randomized controlled trials
Authors: Crocetta Annachiara , Liloia Donato , Costa Tommaso , Duca Sergio , Cauda Franco , Manuello Jordi
Published: September 2024

The gut–brain axis, a bidirectional communication network between the gastrointestinal system and the brain, significantly influences mental health and behavior. Probiotics, live microorganisms conferring health benefits, have garnered attention for their potential to modulate this axis. However, their effects on brain function through gut microbiota modulation remain controversial. This systematic review examines the effects of probiotics on brain activity and functioning, focusing on randomized controlled trials using both resting-state and task-based functional magnetic resonance imaging (fMRI) methodologies. Studies investigating probiotic effects on brain activity in healthy individuals and clinical populations (i.e., major depressive disorder and irritable bowel syndrome) were identified. In healthy individuals, task-based fMRI studies indicated that probiotics modulate brain activity related to emotional regulation and cognitive processing, particularly in high-order areas such as the amygdala, precuneus, and orbitofrontal cortex. Resting-state fMRI studies revealed changes in connectivity patterns, such as increased activation in the Salience Network and reduced activity in the Default Mode Network. In clinical populations, task-based fMRI studies showed that probiotics could normalize brain function in patients with major depressive disorder and irritable bowel syndrome. Resting-state fMRI studies further suggested improved connectivity in mood-regulating networks, specifically in the subcallosal cortex, amygdala and hippocampus. Despite promising findings, methodological variability and limited sample sizes emphasize the need for rigorous, longitudinal research to clarify the beneficial effects of probiotics on the gut–brain axis and mental health.
Construction and validation of a risk prediction model for extrauterine growth restriction in preterm infants born at gestational age less than 34 weeks
Authors: Xie Yu , Zhang Zhihui , Luo Mengmeng , Mo Yan , Wei Qiufen , Wang Laishuan , Zhang Rong , Zhong Hanlu , Li Yan
Published: September 2024

Objective

This study aimed to develop and validate a model for predicting extrauterine growth restriction (EUGR) in preterm infants born ≤34 weeks gestation.

Methods

Preterm infants from Guangxi Maternal and Child Health Hospital (2019–2021) were randomly divided into training (80%) and testing (20%) sets. Collinear clinical variables were excluded using Pearson correlation coefficients. Predictive factors were identified using Lasso regression. Random forest (RF), support vector machine (SVM), and logistic regression (LR) models were then built and evaluated using the confusion matrix, area under the curve (AUC), and the F1 score. Additionally, calibration curves and decision curve analysis (DCA) were plotted to assess the performance and practical utility of the models.

Results

The study included 387 infants, with no significant baseline differences between training (n = 310) and testing (n = 77) sets. LR identified gestational age, birth weight, premature rupture of membranes, patent ductus arteriosus, cholestasis, and neonatal sepsis as key EUGR predictors. The RF model (19 variables) demonstrated an accuracy of greater than 90% during training, and superior AUC (0.62), F1 score (0.80), and accuracy (0.72) in testing compared to other models.

Conclusions

Gestational age, birth weight, premature rupture of membranes, patent ductus arteriosus, cholestasis, and neonatal sepsis are significant EUGR predictors in preterm infants ≤34 weeks. The model shows promise for early EUGR prediction in clinical practice, potentially enhancing screening efficiency and accuracy, thus saving medical resources.
Determinants of measles second dose vaccination dropout among children aged 18–24 months in Ejere woreda, central Ethiopia; unmatched case-control study
Authors: Nurgi Kitessa , Ahmed Seifadin , Ganfure Gemechu , Bekele Gemechu Gelan
Published: September 2024

Background

Measles continues to pose a significant public health challenge, especially in low- and middle-income countries. Despite the implementation of national vaccination programs, measles outbreaks persist in some parts of Ethiopia, and the determinants of dropout from the second measles vaccine dose are not well understood. Hence, this study aimed to assess determinants of measles second dose vaccination dropout among children aged 18–24 months in Ejere woreda, central Ethiopia.

Methods

A community-based unmatched case-control design was conducted in the Ejere Woreda of the Oromia regional state in Ethiopia between February 14 and April 6, 2023. Data were collected using a pre-tested structured questionnaire. The collected data were coded and entered into Epi-data version 3.1 and then transported to SPSS version 27 for statistical analysis. Descriptive analysis like frequency, mean, and percentage was calculated. Binary and multivariable logistic regression analysis was done. Finally, variables with a p-value <0.05 were considered statistically significant.

Result

A total of 446 mothers/caregivers, comprising 110 cases and 336 controls, participated in this study, making the response rate 97.8%. Lack of a reminder for the measles vaccine during postnatal care (PNC) (AOR = 5.19; 95% CI: 2.34, 7.83), having ≤2 antenatal care (ANC) contacts (AOR = 4.95; 95% CI: 2.86, 9.24), long waiting times during previous vaccination (AOR = 2.78; 95% CI: 1.19, 4.38), children of mothers/caregivers without formal education (AOR = 6.46; 95% CI: 2.81, 11.71), mothers/caregivers of children who were unaware of the importance of the second dose of measles (AOR = 8.37; 95% CI: 4.22, 15.08), and mothers/caregivers whose children did not receive at least two doses of vitamin A (AOR = 4.05; 95% CI: 2.15, 8.11) were significant determinants of measles second dose vaccination dropout.

Conclusion

Implementing targeted interventions during antenatal care and when mothers visit health facilities for other vaccines can significantly improve the uptake of the second dose of the measles vaccine. These strategies not only enhance overall vaccination coverage but also mitigate the risk of measles outbreaks in the community.
Exploring the role of Yuxuebi tablet in neuropathic pain with the method of similarity research of drug pharmacological effects based on unsupervised machine learning
Authors: Du Xiao , Zhao Chunhui , Xi Yujie , Lin Pengfei , Liu Huihui , Wang Shuling , Guo Feifei
Published: September 2024

Introduction

Having multiple pharmacological effects is a characteristic of Traditional Chinese Medicine (TCM). Currently, there is a lack of suitable methods to explore and discover modern diseases suitable for TCM treatment using this characteristic. Unsupervised machine learning technology is an efficient strategy to predict the pharmacological activity of drugs. This study takes Yuxuebi Tablet (YXB) as the research object. Using the unsupervised machine learning technology of drug cell functional fingerprint similarity research, the potential pharmacological effects of YXB were discovered and verified.

Methods

LC-MS combined with the in vitro intestinal absorption method was used to identify components of YXB that could be absorbed by the intestinal tract of rats. Unsupervised learning hierarchical clustering was used to calculate the degree of similarity of cellular functional fingerprints between these components and 121 marketed Western drugs whose indications are diseases and symptoms that YXB is commonly used to treat. Then, based on the Library of Integrated Network-based Cellular Signatures database, pathway analysis was performed for selected Western drugs with high similarity in cellular functional fingerprints with the components of YXB to discover the potential pharmacological effects of YXB, which were validated by animal experiments.

Results

We identified 40 intestinally absorbed components of YXB. Through predictive studies, we found that they have pharmacological effects very similar to non-steroidal anti-inflammatory drugs (NSAIDs) and corticosteroids. In addition, we found that they have very similar pharmacological effects to anti-neuropathic pain medications (such as gabapentin, duloxetine, and pethidine) and may inhibit the NF-κB signaling pathway and biological processes related to pain perception. Therefore, YXB may have an antinociceptive effect on neuropathic pain. Finally, we demonstrated that YXB significantly reduced neuropathic pain in a rat model of sciatic nerve chronic constriction injury (CCI). Transcriptome analysis further revealed that YXB regulates the expression of multiple genes involved in nerve injury repair, signal transduction, ion channels, and inflammatory response, with key regulatory targets including Sgk1, Sst, Isl1, and Shh.

Conclusion

This study successfully identified and confirmed the previously unknown pharmacological activity of YXB against neuropathic pain through unsupervised learning prediction and experimental verification.
N-terminal domain of androgen receptor is a major therapeutic barrier and potential pharmacological target for treating castration resistant prostate cancer: a comprehensive review
Authors: Chen Ye , Lan Tian
Published: September 2024

The incidence rate of prostate cancer (PCa) has risen by 3% per year from 2014 through 2019 in the United States. An estimated 34,700 people will die from PCa in 2023, corresponding to 95 deaths per day. Castration resistant prostate cancer (CRPC) is the leading cause of deaths among men with PCa. Androgen receptor (AR) plays a critical role in the development of CRPC. N-terminal domain (NTD) is the essential functional domain for AR transcriptional activation, in which modular activation function-1 (AF-1) is important for gene regulation and protein interactions. Over last 2 decades drug discovery against NTD has attracted interest for CRPC treatment. However, NTD is an intrinsically disordered domain without stable three-dimensional structure, which has so far hampered the development of drugs targeting this highly dynamic structure. Employing high throughput cell-based assays, small-molecule NTD inhibitors exhibit a variety of unexpected properties, ranging from specific binding to NTD, blocking AR transactivation, and suppressing oncogenic proliferation, which prompts its evaluation in clinical trials. Furthermore, molecular dynamics simulations reveal that compounds can induce the formation of collapsed helical states. Nevertheless, our knowledge of NTD structure has been limited to the primary sequence of amino acid chain and a few secondary structure motif, acting as a barrier for computational and pharmaceutical analysis to decipher dynamic conformation and drug-target interaction. In this review, we provide an overview on the sequence-structure-function relationships of NTD, including the polymorphism of mono-amino acid repeats, functional elements for transcription regulation, and modeled tertiary structure of NTD. Moreover, we summarize the activities and therapeutic potential of current NTD-targeting inhibitors and outline different experimental methods contributing to screening novel compounds. Finally, we discuss current directions for structure-based drug design and potential breakthroughs for exploring pharmacological motifs and pockets in NTD, which could contribute to the discovery of new NTD inhibitors.
Comparative analysis of the influence of different shapes of shaft sections on dust transportation
Authors: Liu Jie , Luo Xuehua , Wang Wanqing , Teng Liangyun , Hao Chenwei , Cai Fei , Chen Yi
Published: September 2024

Large amounts of dust are generated during digging operations in underground mines, and the transportation of dust is affected by the shape of the roadway section. In order to know the dust transportation law of different cross-section shapes when digging. Fluent software was used to simulate the distribution of wind flow field, dust transportation trajectory, and dust quality concentration in roadways with semicircular arch, three-centered arch, rectangle and trapezium, and then analyze and compare the influence of four cross-section shapes on dust transportation, and use gray correlation analysis to investigate the correlation between the time needed to reduce the dust quality concentration of the roadway to the safe value and the ventilation air volume and air supply distance. The results of the study show that the wind speed in the roadway is in the following order from high to low: rectangle > trapezium > three-centered arch > semicircular arch. Dust particles of each size rubbed each other after blasting, and there were fewer dust particles with larger sizes in the three-centered arch roadway. Both the air supply distance and ventilation air volume impact the dust removal effect; when the air supply distances are 5 m and 10 m, the three-centered arch has a better dust removal effect; when the air supply distances are 15 m and 20 m, the effect is better in the rectangular roadway and trapezoidal roadway; and when the ventilation air volume is increased, it is the three-centered arch. Through the gray correlation analysis, it can be seen that in order to improve the construction environment in the roadway after blasting, the rectangular section can be chosen when considering the air supply distance, and the three-centered arch can be chosen when considering the ventilation air volume.
Non-destructive testing based on Unet-CBAM network for pulsed thermography
Authors: Wu Chenghao , Wu Dan , Zhu Pengfei
Published: September 2024

Infrared thermography (IRT) is a non-destructive testing technique that can detect the internal defects of materials. In the detection of austenitic stainless-steel pipes with large curvature, image noise caused by uneven heating is difficult to avoid. Traditional image processing methods are less effective. According to previous works, a supervised neural network was proposed in this paper using Unet network and convolutional block attention module. Existing image processing method and networks were used to compare with the proposed method. The results show that the proposed method can remove the noise caused by uneven heating, and detect all subsurface defects in stainless-steel pipe.
Of buds and bits: a meta-QTL study identifies stable QTL for berry quality and yield traits in cranberry mapping populations (Vaccinium macrocarpon Ait.)
Authors: Maule Andrew F. , Loarca Jenyne , Diaz-Garcia Luis , Lopez-Moreno Hector , Johnson-Cicalese Jennifer , Vorsa Nicholi , Iorizzo Massimo , Neyhart Jeffrey L. , Zalapa Juan E.
Published: September 2024

Introduction

For nearly two centuries, cranberry (Vaccinium macrocarpon Ait.) breeders have improved fruit quality and yield by selecting traits on fruiting stems, termed “reproductive uprights.” Crop improvement is accelerating rapidly in contemporary breeding programs due to modern genetic tools and high-throughput phenotyping methods, improving selection efficiency and accuracy.

Methods

We conducted genotypic evaluation on 29 primary traits encompassing fruit quality, yield, and chemical composition in two full-sib cranberry breeding populations—CNJ02 (n = 168) and CNJ04 (n = 67)—over 3 years. Genetic characterization was further performed on 11 secondary traits derived from these primary traits.

Results

For CNJ02, 170 major quantitative trait loci (QTL; R2≥ 0.10) were found with interval mapping, 150 major QTL were found with model mapping, and 9 QTL were found to be stable across multiple years. In CNJ04, 69 major QTL were found with interval mapping, 81 major QTL were found with model mapping, and 4 QTL were found to be stable across multiple years. Meta-QTL represent stable genomic regions consistent across multiple years, populations, studies, or traits. Seven multi-trait meta-QTL were found in CNJ02, one in CNJ04, and one in the combined analysis of both populations. A total of 22 meta-QTL were identified in cross-study, cross-population analysis using digital traits for berry shape and size (8 meta-QTL), digital images for berry color (2 meta-QTL), and three-study cross-analysis (12 meta-QTL).

Discussion

Together, these meta-QTL anchor high-throughput fruit quality phenotyping techniques to traditional phenotyping methods, validating state-of-the-art methods in cranberry phenotyping that will improve breeding accuracy, efficiency, and genetic gain in this globally significant fruit crop.
A handbook for Rhythmic Relating in autism: supporting social timing in play, learning and therapy
Authors: Daniel Stuart , Laurie Matthew , Delafield-Butt Jonathan T.
Published: September 2024

We present a handbook for Rhythmic Relating, an approach developed to support play, learning and therapy with young autistic children, unconventional communicators, and autistic people who have additional learning needs. Rhythmic Relating is based on the Movement Sensing perspective, a growing body of research that recognizes that autistic social difficulties stem from more basic sensory and motor differences. These sensorimotor differences directly affect embodied experience and social timing in communication. The Rhythmic Relating approach acknowledges that autistic/non-autistic interactive mismatch goes both ways and offers bidirectional support for social timing and expressive action in play. This handbook is presented in an accessible fashion, allowing the reader to develop at their own pace through three skill-levels and encouraging time out to practice. We begin with the basics of building rapport (seeing, copying, and celebrating interactional behaviors), introduce the basic foundations of sensory stability, and then move on to developing reciprocal play (using mirroring, matching, looping, and “Yes…and” techniques), and further to understanding sensory impetus (using sensory contours, accents and flows) and its potential in support of social timing. Rhythmic Relating is offered in support of each practitioner’s creative practice and personal sense of fun and humor in play. The model is offered as a foundation for interaction and learning, as a base practice in schools, for Occupational Therapists, Speech Therapists and Physiotherapists, and can also provide a basis for tailoring creative arts therapies when working with autistic clients.
Head-orienting behaviors during simultaneous speech detection and localization
Authors: Lertpoompunya Angkana , Ozmeral Erol J. , Higgins Nathan C. , Eddins David A.
Published: September 2024

Head movement plays a vital role in auditory processing by contributing to spatial awareness and the ability to identify and locate sound sources. Here we investigate head-orienting behaviors using a dual-task experimental paradigm to measure: (a) localization of a speech source; and (b) detection of meaningful speech (numbers), within a complex acoustic background. Ten younger adults with normal hearing and 20 older adults with mild-to-severe sensorineural hearing loss were evaluated in the free field on two head-movement conditions: (1) head fixed to the front and (2) head moving to a source location; and two context conditions: (1) with audio only or (2) with audio plus visual cues. Head-tracking analyses quantified the target location relative to head location, as well as the peak velocity during head movements. Evaluation of head-orienting behaviors revealed that both groups tended to undershoot the auditory target for targets beyond 60° in azimuth. Listeners with hearing loss had higher head-turn errors than the normal-hearing listeners, even when a visual location cue was provided. Digit detection accuracy was better for the normal-hearing than hearing-loss groups, with a main effect of signal-to-noise ratio (SNR). When performing the dual-task paradigm in the most difficult listening environments, participants consistently demonstrated a wait-and-listen head-movement strategy, characterized by a short pause during which they maintained their head orientation and gathered information before orienting to the target location.
Resistance to anti-smoking messages related to the higher smoking stigma of Korean female smokers
Authors: Ha Seung-Hyuk , Lee Gi-Eun , Hwang Jang-Sun , Lee Jang-Han
Published: September 2024

Introduction

The degree of perceived smoking stigma can differ, based on various factors such as gender; this may influence the effect of smoking cessation interventions, including denormalization. This study investigates the gender differences in smoking stigma recognized by Korean smokers and explores the effect of these differences on the success of smoking cessation messages that aim to initiate an identity crisis among smokers. It aims to contribute to effective smoking cessation intervention strategies for female smokers.

Methods

The smoker-gender Implicit Association Test (IAT) was used to measure gender-based smoking stigma; the test comprised photos of people smoking, with positive and negative descriptors. Participants were 120 smokers aged 19–35 years (60 males and 60 females). Participants’ cognitive attitudes toward smoking and cessation intentions were assessed at baseline. To investigate the effect of social stigmatization on smokers, participants were asked to watch anti-smoking campaigns that stigmatized either smoking behavior or smokers’ self-identity. Cognitive attitudes and cessations intention were used to show differences in gender and message conditions.

Results

The IAT D-score showed that female smokers perceived other female smokers significantly more negatively than they did male smokers, suggesting a higher level of smoking stigma. Female smokers in the socially stigmatizing condition reduced their negativity toward smoking less than those who were not stigmatized. Moreover, cessation intentions did not improve when female smokers received identity-threatening messages, indicating that female smokers tended to resist stigmatizing messages.

Discussions

These findings provide empirical evidence that the gender of Korean smokers is significantly related to differences in smoking stigma. The negative perception and resistance responses of female smokers shown in this study are consistent with the findings of previous studies on the stigma of substance use disorders and addiction. High smoking stigma can also be a risk factor in anti-smoking interventions, including health communication; therefore, these findings should be interpreted with caution.
Dysphagia in schizophrenia: pathological mechanisms and treatment recommendations
Authors: Wang Jiahui , Gao Caifeng , Fu Cuiyuan , Li Kun
Published: September 2024

Schizophrenia is a chronic, severe, and disabling mental disorder that significantly impacts individuals’ lives. Long-term treatment with antipsychotic drugs, coupled with the complications of the disease itself, increases the risk of dysphagia in patients. These disorders further heighten the likelihood of choking and asphyxia death among this population. This project aims to comprehensively review the pathological mechanisms behind dysphagia in schizophrenia, alongside proposing early screening and evaluation methods. It also suggests treatment recommendations to mitigate the risks and complications associated with dysphagia in these patients.
Assessing the nonlinear impact of green space exposure on psychological stress perception using machine learning and street view images
Authors: Zhang Tianlin , Wang Lei , Zhang Yazhuo , Hu Yike , Zhang Wenzheng
Published: September 2024

Introduction

Urban green space (GS) exposure is recognized as a nature-based strategy for addressing urban challenges. However, the stress relieving effects and mechanisms of GS exposure are yet to be fully explored. The development of machine learning and street view images offers a method for large-scale measurement and precise empirical analysis.

Methods

This study focuses on the central area of Shanghai, examining the complex effects of GS exposure on psychological stress perception. By constructing a multidimensional psychological stress perception scale and integrating machine learning algorithms with extensive street view images data, we successfully developed a framework for measuring urban stress perception. Using the scores from the psychological stress perception scale provided by volunteers as labeled data, we predicted the psychological stress perception in Shanghai's central urban area through the Support Vector Machine (SVM) algorithm. Additionally, this study employed the interpretable machine learning model eXtreme Gradient Boosting (XGBoost) algorithm to reveal the nonlinear relationship between GS exposure and residents' psychological stress.

Results

Results indicate that the GS exposure in central Shanghai is generally low, with significant spatial heterogeneity. GS exposure has a positive impact on reducing residents' psychological stress. However, this effect has a threshold; when GS exposure exceeds 0.35, its impact on stress perception gradually diminishes.

Discussion

We recommend combining the threshold of stress perception with GS exposure to identify urban spaces, thereby guiding precise strategies for enhancing GS. This research not only demonstrates the complex mitigating effect of GS exposure on psychological stress perception but also emphasizes the importance of considering the “dose-effect” of it in urban planning and construction. Based on open-source data, the framework and methods developed in this study have the potential to be applied in different urban environments, thus providing more comprehensive support for future urban planning.
Psychological burden of hearing-impaired children and their parents through the COVID-19 pandemic
Authors: Li Donglei , Lin Ken , Cen Xinru , Fan Yuwei , Hong Liping , Wu Zhao , Chen Wenliang , Zhong Xinqi
Published: September 2024

Objective

Childhood hearing impairment has potential repercussions on the mental well-being of both children and their parents. As a vulnerable population in accessing health care services, they may face specific challenges, especially during the COVID-19 pandemic. This cross-sectional study aims to investigate the association between childhood hearing impairment and the mental health of children and their parents, and to assess health care utilization of hearing-impaired children and its impact on mental outcomes for both during the COVID-19 pandemic.

Methods

Using the National Health Interview Survey (NHIS) database, we analyzed data for 15,989 children aged 5–17 and their corresponding parents. The correlations between childhood hearing impairment and mental outcomes were examined using logistic regression models. The 2020 (quarter 3 and quarter 4)-2021 NHIS data was singled out and re-analyzed, focusing on the utilization of medical care during the COVID-19 pandemic.

Results

After accounting for covariates, hearing-impaired children exhibited a higher frequency of anxiety (OR 2.33, 95% CI 1.79–3.02) or depression (OR 2.14, 95% CI 1.59–2.88). Parents of hearing-impaired children had significantly higher odds of a higher frequency of anxiety (OR 1.55, 95% CI 1.20–2.01) or depression (OR 1.73, 95% CI 1.30–2.29). Interaction effect of hearing impairment with survey year on parents’ mental health outcomes was observed (p for interaction <0.1). Children with hearing loss had higher odds of reporting delayed medical care (OR 2.00, 95% CI 1.11–3.59) or canceled medical care (OR 1.96, 95% CI 0.98–3.96, p = 0.059) due to the pandemic. Delayed medical care (OR 12.41, 95% CI 2.78–55.46) or canceled medical care (OR 6.26, 95% CI 1.28–30.75) due to the COVID-19 pandemic significantly contributed to the increase of anxiety frequency in hearing-impaired children.

Conclusion

Childhood hearing impairment exhibits a substantial impact on children’s and parental mental health, which is further exacerbated by the COVID-19 pandemic. Families of hearing-impaired children appear to be in a vulnerable position during public health emergencies such as the COVID-19 pandemic, which can further exacerbate their mental outcomes.
Evolving intellectual property landscape for AI-driven innovations in the biomedical sector: opportunities in stable IP regime for shared success
Authors: Poddar Abhijit , Rao S. R.
Published: September 2024

Artificial Intelligence (AI) has revolutionized the biomedical sector in advanced diagnosis, treatment, and personalized medicine. While these AI-driven innovations promise vast benefits for patients and service providers, they also raise complex intellectual property (IP) challenges due to the inherent nature of AI technology. In this review, we discussed the multifaceted impact of AI on IP within the biomedical sector, exploring implications in areas like drug research and discovery, personalized medicine, and medical diagnostics. We dissect critical issues surrounding AI inventorship, patent and copyright protection for AI-generated works, data ownership, and licensing. To provide context, we analyzed the current IP legislative landscape in the United States, EU, China, and India, highlighting convergences, divergences, and precedent-setting cases relevant to the biomedical sector. Recognizing the need for harmonization, we reviewed current developments and discussed a way forward. We advocate for a collaborative approach, convening policymakers, clinicians, researchers, industry players, legal professionals, and patient advocates to navigate this dynamic landscape. It will create a stable IP regime and unlock the full potential of AI for enhanced healthcare delivery and improved patient outcomes.
David vs. Goliath: comparing conventional machine learning and a large language model for assessing students' concept use in a physics problem
Authors: Kieser Fabian , Tschisgale Paul , Rauh Sophia , Bai Xiaoyu , Maus Holger , Petersen Stefan , Stede Manfred , Neumann Knut , Wulff Peter
Published: September 2024

Large language models have been shown to excel in many different tasks across disciplines and research sites. They provide novel opportunities to enhance educational research and instruction in different ways such as assessment. However, these methods have also been shown to have fundamental limitations. These relate, among others, to hallucinating knowledge, explainability of model decisions, and resource expenditure. As such, more conventional machine learning algorithms might be more convenient for specific research problems because they allow researchers more control over their research. Yet, the circumstances in which either conventional machine learning or large language models are preferable choices are not well understood. This study seeks to answer the question to what extent either conventional machine learning algorithms or a recently advanced large language model performs better in assessing students' concept use in a physics problem-solving task. We found that conventional machine learning algorithms in combination outperformed the large language model. Model decisions were then analyzed via closer examination of the models' classifications. We conclude that in specific contexts, conventional machine learning can supplement large language models, especially when labeled data is available.
Proteomic analysis of the SMN complex reveals conserved and etiologic connections to the proteostasis network
Authors: Matera A. Gregory , Steiner Rebecca E. , Mills C. Allie , McMichael Benjamin D. , Herring Laura E. , Garcia Eric L.
Published: September 2024

Introduction

Molecular chaperones and co-chaperones are highly conserved cellular components that perform a variety of duties related to the proper three-dimensional folding of the proteome. The web of factors that carries out this essential task is called the proteostasis network (PN). Ribonucleoproteins (RNPs) represent an underexplored area in terms of the connections they make with the PN. The Survival Motor Neuron (SMN) complex is an assembly chaperone and serves as a paradigm for studying how specific RNAs are identified and paired with their client substrate proteins to form RNPs. SMN is the eponymous component of a large complex, required for the biogenesis of uridine-rich small nuclear ribonucleoproteins (U-snRNPs), that localizes to distinct membraneless organelles in both the nucleus and cytoplasm of animal cells. SMN protein forms the oligomeric core of this complex, and missense mutations in the human SMN1 gene are known to cause Spinal Muscular Atrophy (SMA). The basic framework for understanding how snRNAs are assembled into U-snRNPs is known. However, the pathways and mechanisms used by cells to regulate their biogenesis are poorly understood.

Methods

Given the importance of these processes to normal development as well as neurodegenerative disease, we set out to identify and characterize novel SMN binding partners. We carried out affinity purification mass spectrometry (AP-MS) of Drosophila SMN complexes using fly lines exclusively expressing either wildtype or SMA-causing missense alleles.

Results

Bioinformatic analyses of the pulldown data, along with comparisons to proximity labeling studies carried out in human cells, revealed conserved connections to at least two other major chaperone systems including heat shock folding chaperones (HSPs) and histone/nucleosome assembly chaperones. Notably, we found that heat shock cognate protein Hsc70-4 and other HspA family members preferentially associated with SMA-causing alleles of SMN.

Discussion

Hsc70-4 is particularly interesting because its mRNA is aberrantly sequestered by a mutant form of TDP-43 in mouse and Drosophila ALS (Amyotrophic Lateral Sclerosis) disease models. Most important, a missense allele of Hsc70-4 (HspA8 in mammals) was recently identified as a bypass suppressor of the SMA phenotype in mice. Collectively, these findings suggest that chaperone-related dysfunction lies at the etiological root of both ALS and SMA.
Breaking barriers: how the rural poor engage in tourism activities without external support in selected Iranian villages
Authors: Torabi Zabih-Allah
Published: September 2024

Background

This study examines the participation of the rural poor in tourism activities without external support in selected Iranian villages, addressing the research gap on their direct involvement in formal and informal tourism businesses.

Methodology

A qualitative approach was employed, utilizing face-to-face semi-structured interviews with 65 participants from three villages near Turan National Park in Shahrud, Iran. Data were analyzed using thematic analysis.

Findings

Results indicate that the rural poor actively engage in tourism. This participation encompasses seeking formal employment in tourism facilities, engaging in informal activities, and acquiring relevant knowledge and skills. The study highlights the significant potential of informal tourism businesses in increasing opportunities for low-income individuals, despite challenges such as lack of capital and legal protection.

Conclusion

The findings demonstrate that even without external assistance, the rural poor find ways to participate in and benefit from tourism activities. Both formal and informal tourism activities play important roles in poverty alleviation efforts. The study emphasizes the need for targeted interventions to support the rural poor's participation in the tourism sector and harness tourism's potential for poverty reduction in rural areas.
What is Consciousness and What is it Good For?
Authors: Mentec Inès , Moncoucy Léa , Mouheb Yanis , Cleeremans Axel
Published: September 2024

What do you see around you right now? What do you hear or smell? How are you feeling—happy, sad, bored? And what thoughts are in your head? All the sensations, feelings, and thoughts you have every day are part of what is called your conscious experience—something that all humans have. But do they have a purpose? Would you act the same without them? These are the questions we will address in this article. We will first introduce the concept of conscious experience and then review the methods that scientists use to study it, which is not an easy task! Finally, we will explain why it is important to study consciousness at all.