bluuebunny/crossref_metadata_2025_split huggingface dataset:
Barriers and enablers to exercise adherence in people with nonspecific chronic low back pain: a systematic review of qualitative evidence
Authors: Gilanyi Yannick L. , Shah Brishna , Cashin Aidan G. , Gibbs Mitchell T. , Bellamy Jessica , Day Richard , McAuley James H. , Jones Matthew D. 
Published: April 2024

Abstract
Exercise is a first-line treatment for chronic low back pain (CLBP), reducing pain and disability in the short term. However, exercise benefits decrease over time, with a lack of long-term exercise adherence a potential reason for this. This study aimed to synthesize the perceptions and beliefs of individuals with CLBP and identify their barriers and enablers to exercise adherence. We searched CENTRAL, Embase, CINAHL, SPORTDiscus, PubMed, PsycINFO, and Scopus databases from inception to February 28, 2023, for qualitative studies that explored the factors influencing exercise adherence for people with CLBP. A hybrid approach combining thematic synthesis with the Theoretical Domains Framework was used to analyze data. We assessed methodological quality using the Critical Appraisal Skills Programme checklist and the level of confidence of the themes generated using the Confidence in the Evidence from Reviews of Qualitative Studies. Twenty-three papers (n = 21 studies) were included (n = 677 participants). Four main themes affected exercise adherence: (1) exercise, pain, and the body, (2) psychological factors, (3) social factors, and (4) external factors. These themes contained 16 subthemes that were predominantly both barriers and enablers to exercise adherence. The individual's experiences of barriers and enablers were most appropriately represented across a spectrum, where influencing factors could be a barrier or enabler to exercise adherence, and these could be specific to pre-exercise, during-exercise, and post-exercise situations. These findings may be used to improve exercise adherence and ultimately treatment outcomes in people with CLBP.
Echoes of self: Understanding acoustic structure and informational content in common marmoset (Callithrix jacchus) phee sequences
Authors: Meshinska Kristin , Burkart Judith M , Bell Matthew BV , Wierucka Kaja 
Published: April 2024

AbstractCommunication in social animals relies heavily on acoustic cues, yet many species possess limited vocal repertoires. To compensate, animals often produce vocalizations in sequences, potentially enhancing the diversity of transmitted information. However, the significance of repeated elements within these sequences remains poorly understood. Here, we investigated the spectro-temporal structure of elements within common marmoset (Callithrix jacchus) phees, a long-distance contact call, often produced in sequences. Employing machine learning techniques (random forests) and linear mixed effects models, we explored how elements varied based on their position within sequences and assessed their ability to encode identity and sex information. Additionally, we examined similarities between elements occupying the same position in different sequences. Our results reveal structural differences both within and between sequences, with variations observed in phees at different positions within the same sequence, yet similarities found between first elements of distinct sequences. Notably, all phees encoded caller identity and sex information, with varying accuracy across positions within sequences, indicating a higher encoding of sex information at the beginning of the sequence and a greater emphasis on identity in subsequent elements. These findings suggest that repeated sequences may be functionally diverse structures, enriching the complexity of animal communication systems.
Interactive Tools for Functional Annotation of Bacterial Genomes
Authors: Price Morgan N. , Arkin Adam P. 
Published: April 2024

AbstractAutomated annotations of protein function are error-prone because of our lack of knowledge of protein functions. For example, it is often impossible to predict the correct substrate for an enzyme or a transporter. Furthermore, much of the knowledge that we do have about the functions of proteins is missing from the underlying databases. We discuss how to use interactive tools to quickly find different kinds of information relevant to a protein’s function. Combining these tools often allows us to infer a protein’s function. Ideally, accurate annotations would allow us to predict a bacterium’s capabilities from its genome sequence, but in practice, this remains challenging. We describe interactive tools that infer potential capabilities from a genome sequence or that search a genome to find proteins that might perform a specific function of interest.
Accurate estimation of SNP genotypes and genetic relatedness from DNA methylation data
Authors: Jiang Yi , Qu Minghan , Jiang Minghui , Jiang Xuan , Fernandez Shane , Porter Tenielle , Laws Simon M. , Masters Colin L. , Guo Huan , Cheng Shanshan , Wang Chaolong 
Published: April 2024

AbstractEpigenome-wide association studies (EWAS) are susceptible to widespread confounding caused by population structure and genetic relatedness. Nevertheless, kinship estimation is challenging in EWAS without genotyping data. We propose MethylGenotyper, a method that for the first time enables accurate genotyping at thousands of SNPs directly from commercial DNA methylation microarrays. We model the intensities of methylation probes near SNPs with a mixture of three beta distributions corresponding to different genotypes and estimate parameters with an expectation-maximization algorithm. We conduct extensive simulations to demonstrate the performance of the method. When applying MethylGenotyper to Infinium EPIC array data of 4,662 Chinese, we obtain genotypes at 4,319 SNPs with a concordance rate of 98.26%, enabling the identification of 255 pairs of close relatedness. Furthermore, we show that MethylGenotyper allows for the estimation of both population structure and cryptic relatedness among 702 Australians of diverse ancestry. We have implemented MethylGenotyper in a publicly available R package to facilitate future large-scale EWAS.
Roles of the 5-HT1A receptor in zebrafish responses to potential threat and in sociality
Authors: de Souza Loanne Valéria Xavier Bruce , Oliveira Larissa Nunes , Costa Bruna Patrícia Dutra , Lima-Maximino Monica , Veloso Vivianni , Maximino Caio 
Published: April 2024

ABSTRACTAnxiety is a normal emotion representing a reaction to potential danger, whereas fear can be defined as a reaction to real, explicit danger. Anxiety-like behavior in animal models has been associated with differences in the serotonergic system. Treatment of zebrafish cohorts with 8-OH-DPAT, a full agonist at the 5-HT1A receptor, decreased anxiety-like behavior in the novel tank test, but increased it in the phototaxis (light-dark preference) assay, both considered assays for anxiety-like behavior for this species. The same treatment decreased social approach in both the social investigation and social novelty phases of the social preference test. Blocking the 5-HT1A receptor with WAY 100,635 shifted the dose-response curve for the novel tank test rightward. These effects suggest a participation of the 5-HT 1A heteroreceptors in zebrafish anxiety and social preference, increasing anxiety and decreasing sociality. Thus, the study of this receptor is important for a better understanding of anxiety-like behavior in zebrafish and its relationship with similar phenomena in vertebrates.Preprint:https://www.biorxiv.org/content/10.1101/2024.04.17.588464v1Data:https://github.com/lanec-unifesspa/5HT/tree/main/5HT1ALay summaryThis study looked at how a certain type of protein, the 5-HT1A receptor, affected anxiety in zebrafish. It’s important to understand that anxiety is a normal feeling we all get when we’re worried or scared about something, while fear is a reaction to an immediate danger. The researchers wanted to see how a specific drug that activates the 5-HT1A receptor, 8-OH-DPAT, affected the behavior of the fish. They used different tests to see how the fish reacted in different situations.When the fish were given the drug, their anxiety-like behavior decreased in one test where they were put in a new tank. But in another test where they had to choose between light and dark areas, their anxiety-like behavior actually increased. It also made the fish less interested in being social with other fish. When a drug that blocks the 5-HT1A receptor, WAY 100,635, was give together with 8-OH-DPAT, evidence was found for a receptor reserve.The researchers found that this drug affected the way the fish behaved in these situations. It seemed to make them more anxious in some cases and less interested in being social. This tells us that the receptor has an impact on how the fish are feeling, which can help us learn more about anxiety in zebrafish and, potentially, in other animals too, including humans.Significance statementThis research indicates that 5-HT1A heteroreceptors play a key role in increasing anxiety and decreasing sociality across vertebrates, shedding light on neural mechanisms that could inform treatments for anxiety-related disorders.
A conserved germline-specific Dsn1 alternative splice isoform supports oocyte and embryo development
Authors: Ly Jimmy , Blengini Cecilia S. , Cady Sarah L. , Schindler Karen , Cheeseman Iain M. 
Published: April 2024

SummaryAlternative mRNA splicing can generate distinct protein isoforms to allow for the differential control of cell processes across cell types. However, alternative splice isoforms that differentially modulate distinct cell division programs have remained elusive. Here, we demonstrate that mammalian germ cells express an alternate mRNA splice isoform for the kinetochore component, DSN1, a subunit of the MIS12 complex that links the centromeres to spindle microtubules during chromosome segregation. This germline DSN1 isoform bypasses the requirement for Aurora kinase phosphorylation for its centromere localization due to the absence of a key regulatory region allowing DSN1 to display persistent centromere localization. Expression of the germline DSN1 isoform in somatic cells results in constitutive kinetochore localization, chromosome segregation errors, and growth defects, providing an explanation for its tight cell type-specific expression. Reciprocally, precisely eliminating expression of the germline DSN1 splice isoform in mouse models disrupts oocyte maturation and early embryonic divisions coupled with a reduction in fertility. Together, this work identifies a germline-specific splice isoform for a chromosome segregation component and implicates its role in mammalian fertility.
Interneuron FGF13 regulates seizure susceptibility via a sodium channel-independent mechanism
Authors: Lin Susan , Gade Aravind R. , Wang Hong-Gang , Niemeyer James E. , Galante Allison , DiStefano Isabella , Towers Patrick , Nunez Jorge , Matsui Maiko , Schwartz Theodore H. , Rajadhyaksha Anjali M. , Pitt Geoffrey S. 
Published: April 2024

AbstractDevelopmental and Epileptic Encephalopathies (DEEs), a class of devastating neurological disorders characterized by recurrent seizures and exacerbated by disruptions to excitatory/inhibitory balance in the brain, are commonly caused by mutations in ion channels. Disruption of, or variants in,FGF13were implicated as causal for a set of DEEs, but the underlying mechanisms were clouded becauseFGF13is expressed in both excitatory and inhibitory neurons,FGF13undergoes extensive alternative splicing producing multiple isoforms with distinct functions, and the overall roles of FGF13 in neurons are incompletely cataloged. To overcome these challenges, we generated a set of novel cell type-specific conditional knockout mice. Interneuron-targeted deletion ofFgf13led to perinatal mortality associated with extensive seizures and impaired the hippocampal inhibitory/excitatory balance while excitatory neuron-targeted deletion ofFgf13caused no detectable seizures and no survival deficits. While best studied as a voltage-gated sodium channel (Nav) regulator, we observed no effect ofFgf13ablation in interneurons on Navs but rather a marked reduction in K+channel currents. Re-expressing differentFgf13splice isoforms could partially rescue deficits in interneuron excitability and restore K+channel current amplitude. These results enhance our understanding of the molecular mechanisms that drive the pathogenesis ofFgf13-related seizures and expand our understanding of FGF13 functions in different neuron subsets.
Updated analysis of
D→PP,VP
, and
VV
decays: Implications for
KS0−KL0
asymmetries and
D0−D¯0
mixing
Authors: Cheng Hai-Yang , Chiang Cheng-Wei 
Published: April 2024

An updated analysis of the two-body D→PP,VP, and VV decays within the framework of the topological diagram approach is performed. A global fit to the Cabibbo-favored (CF) modes in the VP sector gives many solutions with similarly small local minima in χ2. The solution degeneracy is lifted once we use them to predict for the singly-Cabibbo-suppressed modes. Topological amplitudes are extracted for the η−η′ mixing angles ϕ=40.4° and 43.5°. The KS0−KL0 asymmetries in D→KS,L0M decays denoted by R(D,M) are studied. While the predicted R(D0,P) for P=π0,η and η′ agree with experiment, the calculated R(D+,π+), R(Ds+,K+), R(D0,ω), and R(D0,ϕ) deviate from the data. We conjecture that the relative phase between the topological amplitudes (C+A) and (T+C) should be slightly smaller than 90° in order to explain the first two discrepancies and that additional singlet contributions due to the SU(3)-singlet nature of ω and ϕ are needed to account for the last two. For doubly-Cabibbo-suppressed (DCS) D→VP decays, their topological amplitudes (double primed) cannot be all the same as the corresponding ones in the CF modes. The assumption of EV,P′′=EV,P for the W-exchange amplitude leads to some inconsistencies with the experiment. Through the measured relative phases between CF and DCS channels, the relations of EV,P′′ with EV,P are determined. Long-distance contributions to the D0−D¯0 mixing parameter y are evaluated in the exclusive approach. In particular, we focus on D→PP and VP decays where y can be reliably estimated. We conclude that yPP∼(0.110±0.011)% and the lower bound on yVP is (0.220±0.071)%. It is thus conceivable that at least half of the mixing parameter y can be accounted for by the two-body PP and VP modes. The main uncertainties arise from the yet-to-be-measured DCS channels and their phases relative to the CF ones.

Published by the American Physical Society
2024
Post-COVID-19 technology adoption and noise trading: elucidation of investors' sentiments across cultures
Authors: Tan Qingmei , Rasheed Muhammad Haroon , Rasheed Muhammad Shahid 
Published: April 2024

PurposeDespite its devastating nature, the COVID-19 pandemic has also catalyzed a substantial surge in the adoption and integration of technological tools within economies, exerting a profound influence on the dissemination of information among participants in stock markets. Consequently, this present study delves into the ramifications of post-pandemic dynamics on stock market behavior. It also examines the relationship between investors' sentiments, underlying behavioral drivers and their collective impact on global stock markets.Design/methodology/approachDrawing upon data spanning from 2012 to 2023 and encompassing major world indices classified by Morgan Stanley Capital International’s (MSCI) market and regional taxonomy, this study employs a threshold regression model. This model effectively distinguishes the thresholds within these influential factors. To evaluate the statistical significance of variances across these thresholds, a Wald coefficient analysis was applied.FindingsThe empirical results highlighted the substantive role that investors' sentiments and behavioral determinants play in shaping the predictability of returns on a global scale. However, their influence on developed economies and the continents of America appears comparatively lower compared with the Asia–Pacific markets. Similarly, the regions characterized by a more pronounced influence of behavioral factors seem to reduce their reliance on these factors in the post-pandemic landscape and vice versa. Interestingly, the post COVID-19 technological advancements also appear to exert a lesser impact on developed nations.Originality/valueThis study pioneers the investigation of these contextual dissimilarities, thereby charting new avenues for subsequent research studies. These insights shed valuable light on the contextualized nexus between technology, societal dynamics, behavioral biases and their collective impact on stock markets. Furthermore, the study's revelations offer a unique vantage point for addressing market inefficiencies by pinpointing the pivotal factors driving such behavioral patterns.
Sentiment time series clustering of Danmu videos based on BERT fine-tuning and SBD-K-shape
Authors: Zhang Ruoxi , Ren Chenhan 
Published: April 2024

Purpose
This study aims to construct a sentiment series generation method for danmu comments based on deep learning, and explore the features of sentiment series after clustering.

Design/methodology/approach
This study consisted of two main parts: danmu comment sentiment series generation and clustering. In the first part, the authors proposed a sentiment classification model based on BERT fine-tuning to quantify danmu comment sentiment polarity. To smooth the sentiment series, they used methods, such as comprehensive weights. In the second part, the shaped-based distance (SBD)-K-shape method was used to cluster the actual collected data.

Findings
The filtered sentiment series or curves of the microfilms on the Bilibili website could be divided into four major categories. There is an apparently stable time interval for the first three types of sentiment curves, while the fourth type of sentiment curve shows a clear trend of fluctuation in general. In addition, it was found that “disputed points” or “highlights” are likely to appear at the beginning and the climax of films, resulting in significant changes in the sentiment curves. The clustering results show a significant difference in user participation, with the second type prevailing over others.

Originality/value
Their sentiment classification model based on BERT fine-tuning outperformed the traditional sentiment lexicon method, which provides a reference for using deep learning as well as transfer learning for danmu comment sentiment analysis. The BERT fine-tuning–SBD-K-shape algorithm can weaken the effect of non-regular noise and temporal phase shift of danmu text.
Factors impacting online shopping in India: an empirical approach to extending UTAUT2 with the digital payment mode and attitudes toward technology
Authors: Gupta Savita , Kiran Ravi , Sharma Rakesh Kumar 
Published: April 2024

PurposeIn keeping with global developments rendering online shopping as an emerging trend among consumers, the present study extends the unified theory of use and acceptance of technology (UTAUT2) comprising the digital payment mode (DPM) as a new driver of online shopping and with the mediation of attitudes toward technology (ATTs) to gauge a better and deeper understanding of behavioral intention (BI).Design/methodology/approachThis study used a survey instrument with snowball sampling from 600 consumers in northern India. Partial least squares structural equation modeling was used to find the association between drivers using UTUAT2, along with DPM and ATTs. The data were divided into a test group (20%) and validated through a training group (80%).FindingsDPM was shown to be directly associated with BI. The mediation of ATTs was also validated through the model. The predictability of the model was 67.5% for the test group (20%) and 69.6% for the training group (80%). The results also indicated that facilitating conditions is a critical driver of BI.Originality/valueThis study enhances the understanding of the roles that DPM and ATTs play in BI during online shopping, suggesting that Indian managers need to adopt DPM as a support service to make online shopping a worthwhile experience.
A typology of challenges in the context of robotic process automation implementation projects
Authors: Kraus Patrick , Fißler Elias , Schlegel Dennis 
Published: April 2024

Purpose
In recent years, the robotic process automation (RPA) technology has increasingly been used to automate business processes. While a lot of research has been published on the potential and benefits of the technology, only a few studies have conducted research on challenges related to RPA adoption. Hence, this study aims to identify and discuss challenges related to RPA implementation projects.

Design/methodology/approach
Following an inductive methodology, interviews have been conducted with consultants who were involved in multiple RPA implementation projects. Hence, their extensive experience and views contribute to a detailed and in-depth understanding of the phenomena under research.

Findings
The results suggest that there are various process-related, technical, resource-related, psychological and coordinative challenges that must be considered when conducting an RPA implementation project.

Originality/value
This paper contributes to knowledge by presenting a new typology of challenges, as well as providing an in-depth discussion of the individual challenges that organizations face.
The influence of family firm CEOs’ transformational leadership on employee engagement: the mediating role of psychological safety
Authors: Hoekx Laura , Lambrechts Frank , Vandekerkhof Pieter 
Published: April 2024

PurposeThis study aims to unravel a potential determinant of employee engagement in family firms. In particular, we focus on the role of the CEO by studying the influence of CEO transformational leadership on employee engagement. Moreover, we look into the potential mediating psychological safety might play in this relationship.Design/methodology/approachBased on an extensive literature review, we propose that there will be a significant positive relationship between family firm CEOs’ transformational leadership and the level of employee engagement. We argue that psychological safety will serve as an underlying mechanism explaining this positive relationship. We empirically tested our research model using quantitative data collected through a questionnaire, completed by 508 employees from Belgian family firms.FindingsThe results confirm the positive relationship between CEOs’ transformational leadership and employee engagement. Moreover, these results show that the degree of psychological safety mediates this relationship.Originality/valueThis study forms a significant contribution to family firm literature. Until now, even though existing studies on employee engagement in general are numerous, we had little to no knowledge of the factors influencing employee engagement taking into account the unique context of family firms. With this study, we take an important step in this matter. In addition, this study also contributes to the general literature on employee engagement, since previous studies on the impact of leadership on employee engagement tended to focus on the role of the immediate supervisors and not the CEO.