bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predicting intention of intimate partner violence screening among Thai nursing students: A cross‐sectional study
Authors: Udmuangpia Tipparat , Yu Mansoo , Bloom Tina Lee 
Published: December 2022

AbstractAimUsing the theory of planned behaviour, the aim of this study was to examine predictors of intention to screen patients for intimate partner violence among Thai nursing students.MethodsWe employed a cross‐sectional, anonymous online survey study with convenience sampling of senior nursing students from across Thailand in April 2019. We administered the Intimate Partner Violence Screening Intention, Nursing Students, a 36‐item tool, and analysed relationships between students' intentions and attitudes, subjective norms and perceived behavioural control towards intimate partner violence screening. PROCESS was used to test mediation analyses.ResultsOfN = 639 respondents. Most (90%) reported intention to screen patients for intimate partner violence. Approximately 41% reported having no intimate partner violence training in their nursing school. Results of the multiple logistic analysis showed that attitudes (OR: 8.5; 95% CI 1.2–4.6) and subjective norms (OR: 4.4; 95% CI 1.4–4.6) significantly predicted intention, whereas perceived behavioural control (OR: 1.7; 95% CI 0.5–4.9) did not. Moreover, attitudes and subjective norm significantly mediated the association between providing a screening tool at clinical sites, and intention.ConclusionsAttitudes and subjective norms were significant predictors of intention of intimate partner violence screening. However, participants lacked adequate role models and training. Future research should improve the predictive power of the framework by integrating additional constructs such as the availability of screening tools, the presence of role models, to design and evaluate effective training and support for future nurses to address intimate partner violence in practice.ImpactsIt is time to seriously consider integrating intimate partner violence content and training into the Thai nursing curriculum, and address the policies, guidelines, and practice culture.Patient or Public ContributionThe study was designed to examine predictors of intention to screen patients for intimate partner violence. Thai senior nursing students were contributed in the design and conduct of the study. However, the study did not include input from the public or the intended participants.
Mechanism of ASK1 involvement in liver diseases and related potential therapeutic targets: A critical pathway molecule worth investigating
Authors: Chen Qi , Guo Jiayu , Qiu Tao , Zhou Jiangqiao 
Published: December 2022

AbstractSince the discovery of apoptosis signal‐regulated kinase 1 (ASK1), the signal transduction mechanism and pathophysiological process involved in its regulation have been continuously revealed. Many previous studies have identified that ASK1 is involved and plays a critical role in the development of diseases affecting the nervous, cardiac, renal, and other systems. As a mitogen‐activated protein kinase (MAPK) kinase kinase, ASK1 mediates apoptosis, necrosis, inflammation, and other pathological processes by activating its downstream c‐Jun N‐terminal kinase (JNK)/p38 MAPK. Owing to the important role of ASK1, an increasing number of studies in recent years have focused on its status in liver‐related diseases. In this paper, we review the mechanisms and targets of ASK1 in liver‐related diseases to emphasize its important role in the development of liver disease.
The GATA transcription factor TaGATA1 recruits demethylase TaELF6‐A1 and enhances seed dormancy in wheat by directly regulating TaABI5
Authors: Wei Xuening , Li Yuyan , Zhu Xiuliang , Liu Xin , Ye Xingguo , Zhou Miaoping , Zhang Zengyan 
Published: December 2022

ABSTRACTSeed dormancy is an important agronomic trait in crops, and plants with low dormancy are prone to preharvest sprouting (PHS) under high‐temperature and humid conditions. In this study, we report that the GATA transcription factor TaGATA1 is a positive regulator of seed dormancy by regulating TaABI5 expression in wheat. Our results demonstrate that TaGATA1 overexpression significantly enhances seed dormancy and increases resistance to PHS in wheat. Gene expression patterns, abscisic acid (ABA) response assay, and transcriptome analysis all indicate that TaGATA1 functions through the ABA signaling pathway. The transcript abundance of TaABI5, an essential regulator in the ABA signaling pathway, is significantly elevated in plants overexpressing TaGATA1. Chromatin immunoprecipitation assay (ChIP) and transient expression analysis showed that TaGATA1 binds to the GATA motifs at the promoter of TaABI5 and induces its expression. We also demonstrate that TaGATA1 physically interacts with the putative demethylase TaELF6‐A1, the wheat orthologue of Arabidopsis ELF6. ChIP–qPCR analysis showed that H3K27me3 levels significantly decline at the TaABI5 promoter in the TaGATA1‐overexpression wheat line and that transient expression of TaELF6‐A1 reduces methylation levels at the TaABI5 promoter, increasing TaABI5 expression. These findings reveal a new transcription module, including TaGATA1–TaELF6‐A1–TaABI5, which contributes to seed dormancy through the ABA signaling pathway and epigenetic reprogramming at the target site. TaGATA1 could be a candidate gene for improving PHS resistance.
Global output on artificial intelligence in the field of nursing: A bibliometric analysis and science mapping
Authors: Shi Jiyuan , Wei Shuaifang , Gao Ya , Mei Fan , Tian Jinhui , Zhao Yang , Li Zheng 
Published: December 2022

AbstractPurposeTo analyze the AI research in the field of nursing, to explore the current situation, hot topics, and prospects of AI research in the field of nursing, and to provide a reference for researchers to carry out related studies.MethodsWe used the VOSviewer 1.6.17, SciMAT, and CiteSpace 5.8.R3 to generate visual cooperation network maps for the country, organizations, authors, citations, and keywords and perform burst detection, theme evolution, and so forth.FindingsA total of 9318 articles were obtained from the Web of Science Core Collection database. Four hundred and thirty‐one AI research related to the field of nursing was published by 855 institutions from 54 countries. CIN‐Computers Informatics Nursing was the top productive journal. The United States was the dominant country. The transnational cooperation between authors from developed countries was closer than that between authors from developing countries. The main hot topics included nurse rostering, nursing diagnosis, nursing decision support, disease risk factor prediction, nursing big data management, expert system, support vector machine, decision tree, deep learning, natural language processing, and nursing education. Machine learning represented one of the cutting‐edge and most applicable branches of artificial intelligence in the field of nursing, and deep learning was the hottest technology among many machine learning methods in recent years. One of the most cited papers was published by Burke in 2004 and cited 500 times, which critically evaluated AI methods to deal with nurse scheduling problems.ConclusionsAlthough AI has been paid more and more attention to the field of nursing, there is still a lack of high‐yielding authors who have been engaged in this field for a long time. Most of the high contribution authors and institutions came from developed countries; therefore, more transnational and multi‐disciplinary cooperation is needed to promote the development of AI in the nursing field. This bibliometric analysis not only provided a comprehensive overview to help researchers to understand the important articles, journals, potential collaborators, and institutions in this field but also analyzed the history, hot spots, and future trends of the research topic to provide inspiration for researchers to choose research directions.
Testing to sustain hepatitis C elimination targets in people who inject drugs: A network‐based model
Authors: Siegele‐Brown Chloë , Siegele‐Brown Martin , Cook Charlotte , Khakoo Salim I. , Parkes Julie , Wright Mark , Buchanan Ryan M. 
Published: December 2022

AbstractLittle is known about the level of testing required to sustain elimination of hepatitis C (HCV), once achieved. In this study, we model the testing coverage required to maintain HCV elimination in an injecting network of people who inject drugs (PWID). We test the hypothesis that network‐based strategies are a superior approach to deliver testing. We created a dynamic injecting network structure connecting 689 PWID based on empirical data. The primary outcome was the testing coverage required per month to maintain prevalence at the elimination threshold over 5 years. We compared four testing strategies. Without any testing or treatment provision, the prevalence of HCV increased from the elimination threshold (11.68%) to a mean of 25.4% (SD 2.96%) over the 5‐year period. To maintain elimination with random testing, on average, 4.96% (SD 0.83%) of the injecting network needs to be tested per month. However, with a ‘bring your friends’ strategy, this was reduced to 3.79% (SD 0.64%) of the network (p < .001). The addition of contact tracing improved the efficiency of both strategies. In conclusion, we report that network‐based approaches to testing such as ‘bring a friend’ initiatives and contact tracing lower the level of testing coverage required to maintain elimination.
Phylogenomic inference and demographic model selection suggest peripatric separation of the cryptic steppe ant species Plagiolepis pyrenaica stat. rev.
Authors: Kirschner Philipp , Seifert Bernhard , Kröll Joelle ,   the STEPPE Consortium, Schlick‐Steiner Birgit C. , Steiner Florian M. 
Published: December 2022

AbstractThe ant Plagiolepis taurica Santschi, 1920 (Hymenoptera, Formicidae) is a typical species of the Eurasian steppes, a large grassland dominated biome that stretches continuously from Central Asia to Eastern Europe and is represented by disjunct outposts also in Central and Western Europe. The extent of this biome has been influenced by the Pleistocene climate, and steppes expanded recurrently during cold stages and contracted in warm stages. Consequently, stenotopic steppe species such as P. taurica repeatedly went through periods of demographic expansion and severe isolation. Here, we explore the impact of these dynamics on the genetic diversification within P. taurica. Delimitation of P. taurica from other Plagiolepis species has been unclear since its initial description, which raised questions on both its classification and its spatiotemporal diversification early on. We re‐evaluate species limits and explore underlying mechanisms driving speciation by using an integrative approach based on genomic and morphometric data. We found large intraspecific divergence within P. taurica and resolved geographically coherent western and eastern genetic groups, which likewise differed morphologically. A morphometric survey of type material showed that Plagiolepis from the western group were more similar to P. barbara pyrenaica Emery, 1921 than to P. taurica; we thus lift the former from synonymy and establish it as separate species, P. pyrenaica stat. rev. Explicit evolutionary model testing based on genomic data supported a peripatric speciation for the species pair, probably as a consequence of steppe contraction and isolation during the mid‐Pleistocene. We speculate that this scenario could be exemplary for many stenotopic steppe species, given the emphasized dynamics of Eurasian steppes.
A divergent RWP‐RK transcription factor determines mating type in heterothallic Closterium
Authors: Sekimoto Hiroyuki , Komiya Ayumi , Tsuyuki Natsumi , Kawai Junko , Kanda Naho , Ootsuki Ryo , Suzuki Yutaka , Toyoda Atsushi , Fujiyama Asao , Kasahara Masahiro , Abe Jun , Tsuchikane Yuki , Nishiyama Tomoaki 
Published: December 2022

Summary
The Closterium peracerosum–strigosum–littorale complex (Closterium, Zygnematophyceae) has an isogamous mating system. Members of the Zygnematophyceae are the closest relatives to extant land plants and are distantly related to chlorophytic models, for which a genetic basis of mating type (MT) determination has been reported. We thus investigated MT determination in Closterium.
We sequenced genomes representing the two MTs, mt+ and mt−, in Closterium and identified CpMinus1, a gene linked to the mt− phenotype. We analyzed its function using reverse genetics methods.
CpMinus1 encodes a divergent RWP‐RK domain‐containing‐like transcription factor and is specifically expressed during gamete differentiation. Introduction of CpMinus1 into an mt+ strain was sufficient to convert it to a phenotypically mt− strain, while CpMinus1‐knockout mt− strains were phenotypically mt+.
We propose that CpMinus1 is the major MT determinant that acts by evoking the mt− phenotype and suppressing the mt+ phenotype in heterothallic Closterium. CpMinus1 likely evolved independently in the Zygnematophyceae lineage, which lost an egg–sperm anisogamous mating system. mt− specific regions possibly constitute an MT locus flanked by common sequences that undergo some recombination.
Natural variation in Avr3D1 from Zymoseptoria sp. contributes to quantitative gene‐for‐gene resistance and to host specificity
Authors: Meile Lukas , Garrido‐Arandia María , Bernasconi Zoe , Peter Jules , Schneller Alissa , Bernasconi Alessio , Alassimone Julien , McDonald Bruce A. , Sánchez‐Vallet Andrea 
Published: December 2022

Summary

Successful host colonization by plant pathogens requires the circumvention of host defense responses, frequently through sequence modifications in secreted pathogen proteins known as avirulence factors (Avrs). Although Avr sequences are often polymorphic, the contribution of these polymorphisms to virulence diversity in natural pathogen populations remains largely unexplored.

We used molecular genetic tools to determine how natural sequence polymorphisms of the avirulence factor Avr3D1 in the wheat pathogen Zymoseptoria tritici contributed to adaptive changes in virulence.

We showed that there is a continuous distribution in the magnitude of resistance triggered by different Avr3D1 isoforms and demonstrated that natural variation in an Avr gene can lead to a quantitative resistance phenotype. We further showed that homologues of Avr3D1 in two nonpathogenic sister species of Z. tritici are recognized by some wheat cultivars, suggesting that Avr‐R gene‐for‐gene interactions can contribute to nonhost resistance.

We suggest that the mechanisms underlying host range, qualitative resistance, and quantitative resistance are not exclusive.
Distribution of energy intake across the day and weight loss: A systematic review and meta‐analysis
Authors: Young Isabel E. , Poobalan Amudha , Steinbeck Katharine , O'Connor Helen T. , Parker Helen M. 
Published: December 2022

SummaryConsuming a greater proportion of total energy intake earlier in the day rather than in the evening is proposed to positively influence weight loss and health, potentially due to greater synchronization of human body circadian rhythms. This systematic review provides an update on existing evidence regarding earlier distributed eating patterns in weight loss interventions. Using a robust search strategy in five electronic databases, nine randomized controlled trials investigating the impact of energy intake distribution on weight loss were identified. Following critical appraisal, a random‐effects meta‐analyses found that, in the context of an energy‐reduced diet, distributing energy intake with a focus on earlier intake resulted in significantly greater weight loss (−1.23 kg; 95% CI 2.40, −0.06, p = 0.04). Improvements in HOMA‐IR, fasting glucose, and LDL cholesterol were also seen. The current study provides a timely update on the evidence linking distribution of total daily energy intake and health, showing that a focus on earlier intakes can result in greater short‐term weight loss compared with later intakes. Future studies are needed to elucidate the impact that earlier intakes may have on weight management and metabolic health.
Cluneal neuropathy: Background, diagnosis, and treatment
Authors: Desai Mehul J. , Nepaul Sargoon 
Published: December 2022

AbstractBackground and aimsCluneal neuropathy is encompassed by three distinct clinical entities. Superior, middle, and inferior cluneal neuralgia make up the constellation of symptoms associated with cluneal neuropathy. Each has its own variable anatomy.Materials and methodsWe compiled a narrative review including a review of available literature. We conducted searches on PubMed/MEDLINE, Embase and Google Scholar on the topics of cluneal neuropathy and treatment therein.ResultsWe collected source articles regarding original descriptions of the disease entities in addition to articles focused on treatment.DiscussionAdjusted incidence rates of superior cluneal neuropathy are 1.6%–11.7%. Accurate diagnosis remains challenging due to the lack of standardized criteria and the aforementioned variability. Treatment may include therapeutic nerve blocks, ablative techniques, neuromodulation, and surgical decompression. Gaps including those related to true incidence and work up exist. Outcomes from interventional studies are limited and mixed due to significant population heterogeneity and non‐standardized treatment approaches coupled with very small sample sizes.
Physiological implications of SWEETs in plants and their potential applications in improving source–sink relationships for enhanced yield
Authors: Singh Jitender , Das Shubhashis , Jagadis Gupta Kapuganti , Ranjan Aashish , Foyer Christine H. , Thakur Jitendra Kumar 
Published: December 2022

SummaryThe sugars will eventually be exported transporters (SWEET) family of transporters in plants is identified as a novel class of sugar carriers capable of transporting sugars, sugar alcohols and hormones. Functioning in intercellular sugar transport, SWEETs influence a wide range of physiologically important processes. SWEETs regulate the development of sink organs by providing nutritional support from source leaves, responses to abiotic stresses by maintaining intracellular sugar concentrations, and host–pathogen interactions through the modulation of apoplastic sugar levels. Many bacterial and fungal pathogens activate the expression of SWEET genes in species such as rice and Arabidopsis to gain access to the nutrients that support virulence. The genetic manipulation of SWEETs has led to the generation of bacterial blight (BB)‐resistant rice varieties. Similarly, while the overexpression of the SWEETs involved in sucrose export from leaves and pathogenesis led to growth retardation and yield penalties, plants overexpressing SWEETs show improved disease resistance. Such findings demonstrate the complex functions of SWEETs in growth and stress tolerance. Here, we review the importance of SWEETs in plant–pathogen and source–sink interactions and abiotic stress resistance. We highlight the possible applications of SWEETs in crop improvement programmes aimed at improving sink and source strengths important for enhancing the sustainability of yield. We discuss how the adverse effects of the overexpression of SWEETs on plant growth may be overcome.
Transgene insertion into the plastid genome alters expression of adjacent native chloroplast genes at the transcriptional and translational levels
Authors: Ghandour Rabea , Gao Yang , Laskowski Josephin , Barahimipour Rouhollah , Ruf Stephanie , Bock Ralph , Zoschke Reimo 
Published: December 2022

SummaryIn plant biotechnology and basic research, chloroplasts have been used as chassis for the expression of various transgenes. However, potential unintended side effects of transgene insertion and high‐level transgene expression on the expression of native chloroplast genes are often ignored and have not been studied comprehensively. Here, we examined expression of the chloroplast genome at both the transcriptional and translational levels in five transplastomic tobacco (Nicotiana tabacum) lines carrying the identical aadA resistance marker cassette in diverse genomic positions. Although none of the lines exhibits a pronounced visible phenotype, the analysis of three lines that contain the aadA insertion in different locations within the petL‐petG‐psaJ‐rpl33‐rps18 transcription unit demonstrates that transcriptional read‐through from the aadA resistance marker is unavoidable, and regularly causes overexpression of downstream sense‐oriented chloroplast genes at the transcriptional and translational levels. Investigation of additional lines that harbour the aadA intergenically and outside of chloroplast transcription units revealed that expression of the resistance marker can also cause antisense effects by interference with transcription/transcript accumulation and/or translation of downstream antisense‐oriented genes. In addition, we provide evidence for a previously suggested role of genomically encoded tRNAs in chloroplast transcription termination and/or transcript processing. Together, our data uncover principles of neighbouring effects of chloroplast transgenes and suggest general strategies for the choice of transgene insertion sites and expression elements to minimize unintended consequences of transgene expression on the transcription and translation of native chloroplast genes.
Algorithmic Fairness and Statistical Discrimination
Authors: Patty John W. , Penn Elizabeth Maggie 
Published: December 2022

AbstractAlgorithmic fairness is a new interdisciplinary field of study focused on how to measure whether a process, or algorithm, may unintentionally produce unfair outcomes, as well as whether or how the potential unfairness of such processes can be mitigated. Statistical discrimination describes a set of informational issues that can induce rational (i.e., Bayesian) decision‐making to lead to unfair outcomes even in the absence of discriminatory intent. In this article, we provide overviews of these two related literatures and draw connections between them. The comparison illustrates both the conflict between rationality and fairness and the importance of endogeneity (e.g., “rational expectations” and “self‐fulfilling prophecies”) in defining and pursuing fairness. Taken in concert, we argue that the two traditions suggest a value for considering new fairness notions that explicitly account for how the individual characteristics an algorithm intends to measure may change in response to the algorithm.
Field Study and Evaluation of KrCl* Far UV‐C Device Capability for Inactivation of Phi6 Bacteriophage
Authors: Seyedi Saba , Ma Ben , Groves Megan , King Hal , Linden Karl G. 
Published: December 2022

Abstract“Far UV‐C” is an effective disinfection method that can be deployed in occupied areas. Commercially available Krypton Chloride (KrCl*) excimer lamps filtered to emit at 222 nm are effective in disinfecting pathogens and safe for human exposure up to an allowable threshold exposure, which is much longer than for conventional UV lamps emitting at 254 nm. Laboratory and controlled field testing of a filtered KrCl* excimer lamp for disinfection of a virus suspended in a thin film aqueous solution in an occupied office setting was conducted. Complete inactivation of almost 6 log (99.9999%) of Phi6 bacteriophage virus was achieved in ~20 min of exposure time in a field setting, equivalent to a dose of about 10 mJ cm−2. The Phi6 inactivation rate constant for the field test results were not statistically different from laboratory values (P > 0.05, paired t‐test). When positioned at 1 m distance from possible human exposure, this device can be used safely for almost 4.5 h of continuous direct exposure without any acute or long‐term adverse health effects. This study illustrates the applicability and deployment of Far UV‐C for pathogen reduction and can help in decision making for implementation of Far UV‐C for disinfection in human‐occupied environments.