bluuebunny/crossref_metadata_2025_split huggingface dataset:
Daily light-induced transcription in visual cortex neurons drives downward Firing Rate Homeostasis and stabilizes sensory processing
Authors: Kushinsky Dahlia , Tsivourakis Emmanouil , Apelblat Daniella , Roethler Ori , Breger-Mikulincer Mor , Malina Katayun Cohen-Kashi , Spiegel Ivo 
Published: May 2024

SummaryBalancing plasticity and stability in neural circuits is essential for an animal’s ability to learn from its environment while preserving the proper processing and perception of sensory information. However, unlike the mechanisms that drive plasticity in neural circuits, the activity-induced molecular mechanisms that convey functional stability remain poorly understood. Focusing on the visual cortex of adult mice and combining transcriptomics, electrophysiology and 2-photon imaging, we find that the daily appearance of light induces in excitatory neurons a large gene program along with rapid and transient shifts in the ratio of excitation and inhibition (E/I-ratio) and ongoing neural activity. Furthermore, we find that the light-induced transcription factor NPAS4 drives these daily normalizations of E/I-ratio and neural activity rates and that it stabilizes the neurons’ response properties. These findings indicate that daily sensory-induced transcription normalizes E/I-ratio and drives downward Firing Rate Homeostasis to maintain proper sensory processing and perception.
Response eQTLs, chromatin accessibility, and 3D chromatin structure in chondrocytes provide mechanistic insight into osteoarthritis risk
Authors: Kramer Nicole E , Byun Seyoun , Coryell Philip , D’Costa Susan , Thulson Eliza , Kim HyunAh , Parkus Sylvie M , Bond Marielle L , Klein Emma R , Shine Jacqueline , Chubinskaya Susanna , Love Michael I , Mohlke Karen L , Diekman Brian O , Loeser Richard F , Phanstiel Douglas H 
Published: May 2024

AbstractOsteoarthritis (OA) poses a significant healthcare burden with limited treatment options. While genome-wide association studies (GWAS) have identified over 100 OA-associated loci, translating these findings into therapeutic targets remains challenging. Integrating expression quantitative trait loci (eQTL), 3D chromatin structure, and other genomic approaches with OA GWAS data offers a promising approach to elucidate disease mechanisms; however, comprehensive eQTL maps in OA-relevant tissues and conditions remain scarce. We mapped gene expression, chromatin accessibility, and 3D chromatin structure in primary human articular chondrocytes in both resting and OA-mimicking conditions. We identified thousands of differentially expressed genes, including those associated with differences in sex and age. RNA-seq in chondrocytes from 101 donors across two conditions uncovered 3782 unique eGenes, including 420 that exhibited strong and significant condition-specific effects. Colocalization with OA GWAS signals revealed 13 putative OA risk genes, 10 of which have not been previously identified. Chromatin accessibility and 3D chromatin structure provided insights into the mechanisms and conditional specificity of these variants. Our findings shed light on OA pathogenesis and highlight potential targets for therapeutic development.Highlights∘Comprehensive analysis of sex- and age-related global gene expression in human chondrocytes revealed differences that correlate with osteoarthritis∘First response eQTLs in chondrocytes treated with an OA-related stimulus∘Deeply sequenced Hi-C in resting and activated chondrocytes helps connect OA risk variants to their putative causal genes∘Colocalization analysis reveals 13 (including 10 novel) putative OA risk genes
Verbal working memory and syntactic comprehension segregate into the dorsal and ventral streams
Authors: Matchin William , Mollasaraei Zeinab K. , Bonilha Leonardo , Rorden Chris , Hickok Gregory , den Ouden Dirk , Fridriksson Julius 
Published: May 2024

AbstractSyntactic processing and verbal working memory are both essential components to sentence comprehension. Nonetheless, the separability of these systems in the brain remains unclear. To address this issue, we performed causal-inference analyses based on lesion and connectome network mapping using MRI and behavioral testing in 103 individuals with chronic post-stroke aphasia. We employed a rhyme judgment task with heavy working memory load without articulatory confounds, controlling for the overall ability to match auditory words to pictures and to perform a metalinguistic rhyme judgment, isolating the effect of working memory load. We assessed noncanonical sentence comprehension, isolating syntactic processing by incorporating residual rhyme judgment performance as a covariate for working memory load. Voxel-based lesion analyses and structural connectome-based lesion symptom mapping controlling for total lesion volume were performed, with permutation testing to correct for multiple comparisons (4,000 permutations). We observed that effects of working memory load localized to dorsal stream damage: posterior temporal-parietal lesions and frontal-parietal white matter disconnections. These effects were differentiated from syntactic comprehension deficits, which were primarily associated with ventral stream damage: lesions to temporal lobe and temporal-parietal white matter disconnections, particularly when incorporating the residual measure of working memory load as a covariate. Our results support the conclusion that working memory and syntactic processing are associated with distinct brain networks, largely loading onto dorsal and ventral streams, respectively.
Sampling Conformational Ensembles of Highly Dynamic Proteins via Generative Deep Learning
Authors: Ruzmetov Talant , Hung Ta I , Jonnalagedda Saisri Padmaja , Chen Si-han , Fasihianifard Parisa , Guo Zhefeng , Bhanu Bir , Chang Chia-en A. 
Published: May 2024

AbstractProteins are inherently dynamic, and their conformational ensembles are functionally important in biology. Large-scale motions may govern protein structure–function relationship, and numerous transient but stable conformations of Intrinsically Disordered Proteins (IDPs) can play a crucial role in biological function. Investigating conformational ensembles to understand regulations and disease-related aggregations of IDPs is challenging both experimentally and computationally. In this paper we first introduce a deep learning-based model, termed Internal Coordinate Net (ICoN), which learns the physical principles of conformational changes from Molecular Dynamics (MD) simulation data. Second, we selected interpolating data points in the learned latent space that rapidly identify novel synthetic conformations with sophisticated and large-scale sidechains and backbone arrangements. Third, with the highly dynamic amyloid-β1-42(Aβ42) monomer, our deep learning model provided a comprehensive sampling of Aβ42’s conformational landscape. Analysis of these synthetic conformations revealed conformational clusters that can be used to rationalize experimental findings. Additionally, the method can identify novel conformations with important interactions in atomistic details that are not included in the training data. New synthetic conformations showed distinct sidechain rearrangements that are probed by our EPR and amino acid substitution studies. This approach is highly transferable and can be used for any available data for training. The work also demonstrated the ability of deep learning to utilize learned natural atomistic motions in protein conformation sampling.
FKBP11 targeted plasma cells promotes abdominal aortic aneurysm progression through an m6A-dependent mechanism
Authors: He Yuchen , Xing Jia , Wang Shiyue , Jiang Han , Lun Yu , Han Yanshuo , Erhart Philipp , Dittmar Böckler , Zhang Jian 
Published: May 2024

AbstractObjectiveDespite surgical advance, effective targeted drugs for non-surgical treatment of abdominal aortic aneurysm (AAA) are lacking because of the unclear pathogenesis of AAA. N6-methyladenosine (m6A) methylation, acknowledged for its pivotal influence on RNA metabolism, including aspects such as stability, transport, translation, and splicing, is largely implied for its role in AAA mechanism. This study aims to elucidate the involvement of m6A methylation in the progression of AAA through an integrative multi-omics and machine learning approach.Methods and ResultsWe utilized methylated RNA immunoprecipitation sequencing (MeRIP-seq) to map the m6A methylation landscape in AAA tissues and combined this with RNA sequencing (RNA-seq) from the GEO database, to explore the interplay between m6A methylation and gene expression. A machine learning-based AAA m6A-related mRNA signature (AMRMS) was developed to predict the risk of AAA dilation. The AMRMS showed robust predictive power in distinguishing between patients with large and small AAAs. Notably, FKBP11 was identified as a key gene significantly influencing the predictive model, and up-regulated in large AAAs compared to its in small AAAs. Further single-cell RNA sequencing (scRNA-seq) and histological analysis highlighted the critical role of FKBP11 in mediating the endoplasmic reticulum stress of plasma cells within the AAA walls and its correlation with m6A methylation.ConclusionsThe m6A modification regulatory network plays a vital role in the progression of AAA, and the AMRMS offers promising potential in assessing the risk of AAA dilation. Our findings suggest that elevated FKBP11, by activating endoplasmic reticulum stress in plasma cells, may significantly contribute to AAA expansion.
What works to promote staff health in prison settings: a systematic review
Authors: Woodall James 
Published: May 2024

Purpose
Given epidemiological data highlighting poor health outcomes for prison staff and correctional workers, this systematic review aims to understand what health promotion interventions, delivered in prison settings, are effective for prison staff health.

Design/methodology/approach
A systematic review was undertaken, with search parameters encompassing papers published over a ten-year period (2013–2023). Health promotion programmes; well-being programmes; and occupational health interventions to support prison staff health as part of a targeted approach or as part of a whole-prison approach were included in the review.

Findings
The review identified 354 studies, of which 157 were duplicates and 187 did not meet the inclusion criteria. This left ten studies in the review from five countries. Reducing the impact of tobacco smoke was the commonly cited intervention, with four studies focusing on smoke-free prison legislation, but other studies focused on stress reduction for staff and supporting holistic health. The papers were of poor methodological quality, with the exception of three included studies that had robust designs. Most studies showed limited or no impact of interventions to support prison staff health, the exception being policy interventions to reduce second-hand smoke exposure.

Originality/value
Prison staff have poor health outcomes and yet limited attention has been paid to interventions to support their health. This review suggests a number of considerations for future policy and practice and direction for further research to improve prison staff health.
Research on the creep response of lead-free die attachments in power electronics
Authors: Gharaibeh Mohammad A. , Wilde Jürgen 
Published: May 2024

PurposeThe purpose of this paper is to investigate the thermomechanical response of four well-known lead-free die attach materials: sintered silver, sintered nano-copper particles, gold-tin solders and silver-tin transient liquid phase (TLP) bonds.Design/methodology/approachThis examination is conducted through finite element analysis. The mechanical properties of all die attach systems, including elastic and Anand creep parameters, are obtained from relevant literature and incorporated into the numerical analysis. Consequently, the bond stress-strain relationships, stored inelastic strain energies and equivalent plastic strains are thoroughly examined.FindingsThe results indicate that silver-tin TLP bonds are prone to exhibiting higher inelastic strain energy densities, while sintered silver and copper interconnects tend to possess higher levels of plastic strains and deformations. This suggests a higher susceptibility to damage in these metallic die attachments. On the other hand, the more expensive gold-based solders exhibit lower inelastic strain energy densities and plastic strains, implying an improved fatigue performance compared to other bonding configurations.Originality/valueThe utilization of different metallic material systems as die attachments in power electronics necessitates a comprehensive understanding of their thermomechanical behavior. Therefore, the results of the present paper can be useful in the die attach material selection in power electronics.
Symmetric and asymmetric modeling to examine individuals’ intention to follow fitness YouTube channels: an integrated perspective of the UTAUT2 and UGT
Authors: Chiu Weisheng , Won Doyeon , Bae Jung-sup 
Published: May 2024

PurposeThe current study aims to explore the determinants of user intentions towards fitness YouTube channels, employing the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and Uses and Gratifications Theory (UGT) as theoretical frameworks.Design/methodology/approachSymmetric and asymmetric analyses were employed for data analysis, utilizing partial least squares-structural equation modeling (PLS-SEM) for symmetric analysis and fuzzy-set qualitative comparative analysis (fsQCA) for asymmetric analysis.FindingsThe study revealed significant impacts of most UTAUT2 determinants and all UGT determinants on user intentions. Additionally, the fsQCA results supported the concept of equifinality, indicating that various configurations of causal combinations can predict a high level of behavioral intention. These findings underscore the significance of comprehending user motivations and factors related to technology and social media in the context of maintaining or increasing followership and viewership for fitness content providers.Originality/valueThe findings suggest that individuals with high expectations and facilitating conditions, as per UTAUT, and heightened hedonic and socializing motivations, in line with UGT, are more inclined to follow fitness YouTube channels. This study offers valuable insights for fitness content creators and marketers navigating the complexities of the digital age.
Replicating the Nordic welfare model: policy prescriptions that recognize the cultural antecedents of solidarity
Authors: Lakeman Amy , Jindra Michael 
Published: May 2024

PurposeIn this article, we examine the historical and cultural foundations of Nordic states’ strong contemporary social indicators to understand whether their successes can be replicated in other contexts.Design/methodology/approachWe draw on a range of academic literature to frame a comparison of two regions’ cultural and theological roots, identifying contrasts to make arguments about prescriptions for contemporary welfare policy.FindingsWe find Nordic history contributes to a duty-based culture with strong cohesion and social trust. These cultural norms make palatable welfare policies with strong activation measures, while the US model prefers to avoid the latter because of its strong cultural orientation to rights and autonomy.Social implicationsTo mitigate differences between the Nordic states and other cultural contexts, policymakers seeking to replicate Nordic welfare successes should consider welfare programming that combines stronger activation policies with oversight and relational components that mitigate gaps in social cohesion.Originality/valueWe uniquely bring together the literature on comparative welfare policy and on religion and culture to understand the precursors of contemporary attitudes and their implications for welfare policy prescriptions.
Safeguarding carers: literature review on what is known about carers who are abused by the people they provide care for
Authors: Anka Ann , Penhale Bridget 
Published: May 2024

Purpose
The purpose of this paper is to provide a literature review on what is known about unpaid family carers who are at risk of or have experienced abuse from the people they provide care for and relevant policy/legal and practice responses for affected family carers.

Design/methodology/approach
A literature search was carried out to locate literature relating to unpaid family carers who are at risk of or have experienced abuse from the people they provide care for. This also incorporated grey literature, including policy guidance and law, to determine the existing knowledge base, gaps in practice and areas that might require further research.

Findings
The findings suggest that although carer harm is serious, it is under-researched. In addition, the unique needs of unpaid family carers who are at risk of or have experienced abuse, violence and harm from the people they provide care for are subsumed in safeguarding policy/law processes and practice under the auspices of the protection of “adults at risk” rather than the protection of “carers at risk”.

Research limitations/implications
It is important that those who support unpaid family carers who are at risk of abuse and harm know about their unique safeguarding needs and concerns to offer appropriate support. It is also apparent that policy and law need to address the gap in provision relating to the unique safeguarding concerns involving the abuse of unpaid family carers by the people they provide care for. This paper is based on this literature review and not on other types of research.

Originality/value
The paper provides insights into what is known about the abuse of unpaid family carers by the people they provide care for, and the policy/legal and practice responses to affected unpaid family carers. It contributes to the body of knowledge on carer abuse and safeguarding carers from abuse and harm.
Resilience and purpose as predictors of Portuguese school leaders' work well-being
Authors: Castro Silva José , Almeida Ana Patricia , Pacheco Patricia , Ferreira Marco 
Published: May 2024

PurposeResilience and purpose have been associated with work well-being. However, limited empirical evidence exists on the liaison between these constructs and Portuguese school leaders' psychological and physical distress and work well-being. This study explored the relationships between resilience, purpose, and well-being in 921 teachers who perform leadership roles in Portuguese schools.Design/methodology/approachParticipants filled out an online self-report questionnaire, providing information on sociodemographic variables. Additionally, they responded to four questionnaires evaluating purpose (PURP), resilience (RES), psychological distress (PsyD), physical distress (PhyD), and work well-being (WWB). Data were analysed through structural equation modelling and mediation analysis.FindingsThe findings show that psychological and physical distress negatively predict school leadership work well-being, whereas resilience and purpose positively predict work well-being. The mediating analysis revealed one indirect mediation effect: resilience buffered the psychological distress and work well-being relationship.Originality/valueThe main findings align with existing literature and uniquely contribute to understanding the interplay between resilience, purpose, psychological and physical distress, and work well-being. This study provides empirical support for a conceptual model claiming that purpose and resilience promote school leaders' work well-being.
Growth in rural Punjab: inclusiveness or pseudo-inclusiveness?
Authors: Chadda Ishu 
Published: May 2024

PurposeThe main purpose of this paper is to examine the status of poverty and its reduction by following the inclusive development approach. This study is designed to examine the benefits obtained from development programs, assess the government’s commitment to alleviating social inequality, and its impacts on the redistribution of wealth and poverty reduction.Design/methodology/approachTo evaluate the implementation of the various development schemes and enhance grass-roots participation, a survey was carried out on 540 households, selected through multistage stratified sampling techniques in three different states of Punjab. The study employed an exploratory factor analysis on 21 independent variables to identify the key factors influencing poverty reduction subsequently followed by the binary logistic regression to access the sectoral impact of inclusiveness on poverty reduction in Punjab.FindingsExploratory Factor analysis extracted six key factors from the selected 21 variables, also called statements: “'Housing Development Resources”; “Human Capital Variables”; “Livelihood Essentials”, “Medical and Family Welfare Benefits”; “Receiving Educational Benefits”; and Social Security Benefits’. Binary logistic regression revealed that Housing Development Resources, Human Capital Variables, and Receiving Educational Facilities, significantly predict the likelihood of poverty reduction with inclusive growth in Punjab.Practical implicationsTo provide basic amenities to rural people, increased people’s participation, decentralized planning, extended irrigation facilities, improved equipped facilities, and improved cultivation techniques are pivotal. The Indian Government has implemented several programs and projects to develop and support rural households. However, these schemes have faced many challenges such as rigidity, non-adaptability to local conditions, late disbursements of funds, reallocation of funds to unrelated expenditures by some states, embezzlement, and bribery demands. Hence, the findings indicate the presence of pseudo-inclusivity in Punjab’s growth.Originality/valueThe study’s uniqueness lies in its focus on selected districts of Punjab and also its application of exploratory factor analysis and binary logistic regression to construct a statistical model from the selected variables.
Private investigations and ethical orientations: a cause for concern?
Authors: Kapend Richard , Button Mark , Stiernstedt Peter 
Published: May 2024

Purpose
A significant number of criminal and deviant acts are investigated by nonpolice actors. These include private investigators who charge fees for their services, professional services firms such as firms of accountants who also charge fees, in-house investigators employed by private organisations and in-house investigators of public sector organisations who are not sworn police officers. Some of these investigators, such as private investigators, have been exposed in unethical activities such as illegal surveillance and blagging to name some. In this respect, this study aims to uncover the ethical orientations of investigators using cluster analysis.

Design/methodology/approach
This study is based upon an online survey of private investigators predominantly in the UK, i.e. investigators beyond the public police. An innovate statistical inferential analysis was used to investigate the sample which resulted in the development of three ethical orientations of such investigators.

Findings
Based upon a survey response from 331 of these types of investigators this study illustrates the extent they engage in unethical activities, showing a very small minority of largely private investigators who engage in such activities.

Originality/value
A unique feature of this study is the use of an innovative statistical approach using an unsupervised machine learning model, namely, TwoStep cluster analysis, to successfully group and classify respondents based on their ethical orientation. The model derived three types of ethical orientation: ethical, inbetweeners and risk takers.