bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Problem with Preparing to Kill in Self‐Defense
Authors: Chae Lee‐Ann 
Published: January 2024

ABSTRACTIn a society marked by liberal gun ownership laws, and an increasingly militarized police force, how should we think about cases where a homeowner shoots a person who has mistakenly knocked on the wrong door, or where a police officer shoots someone who is unarmed? The general tendency – by shooters, courts, and many observers – is to use the framework of self‐defense. However, as I will argue, relying on the framework of self‐defense is inappropriate in these cases, because theories of self‐defensive killing are built up around a very specific type of case, namely, a random, sudden, one‐off encounter between roughly equally matched strangers. When a person who acts in self‐defense has undertaken certain preparations to kill in self‐defense – such as buying a gun, or undergoing certain kinds of training – they transform what would have been defensive violence into offensive violence. But because the self‐defense framework distinguishes only between defensive and aggressive violence, it cannot easily register the unique moral features of offensive violence. Relying on the self‐defense framework, then, produces judgments that are overly permissive of killings by gun owners and police, masking them as self‐defensive when in fact they are much more morally fraught.
A bibliometric analysis of studies on technology‐supported learning environments: Hot topics and frontier evolution
Authors: Jing Yuhui , Wang Chengliang , Chen Zhaoyi , Shen Shusheng , Shadiev Rustam 
Published: January 2024

AbstractBackground StudyTechnology‐supported learning environments, act as significant observational and enabling indicators for evaluating and encouraging the digital revolution of education, are of vital importance in current educational research. Keeping track of the dynamics of technology‐supported learning environment research allows for the enrichment of theoretical studies and a prompt innovation of talent‐training environments.ObjectivesThe present study carried out a bibliometric analysis of the core collection of WoS database over the last two decades.MethodThis study is a bibliometric research. We applied CiteSpace and VOSviewer for co‐occurrence and evolution analysis. In addition, we extracted the fundamental ideas and thoughts through reading and analysis.ResultsFirst, the study found that technology‐supported learning environment research is in a growth phase, with core journals such as Interactive Learning Environments or Computers & Education. The findings show that a core research team comprised of such scholars as Hwang Gwo‐Jen, Lester James C. and Wong Lung‐Hsiang. Key nations of publishing and research strength are from China, the United States, the United Kingdom and the Netherlands. Second, the hot topics in research on technology‐supported learning environments were virtual learning environments, technology‐enabled learning environments and interactive learning environments. Nine study specifics were derived from these three topics such as moulding function, generating scenario, stimulating sensation, effect verification, design idea, research reflection, inquiry and research, virtual community, and mixed environment. Lastly, the frontier evolution offers a pattern of development from enhancing performance to changing mode to incorporating experience.ConclusionLooking ahead, our research recommendations for the field of technology‐supported learning environments include a multifaceted approach. We should aim to enhance research designs and methodologies, develop contemporary guiding theories and strive for a balanced representation across various educational domains, expanding our scope to encompass all academic disciplines. In terms of practical application, it is imperative to focus on the design and implementation of technology‐supported learning environments from three critical perspectives: “change‐demand,” “student‐learning” and “online‐offline.” These approaches will collectively ensure that technology‐supported learning environments are both innovative and responsive to the diverse needs of the educational landscape.
Perspectives on genetic studies of type 2 diabetes from the genome‐wide association studies era to precision medicine
Authors: Imamura Minako , Maeda Shiro 
Published: January 2024

AbstractGenome‐wide association studies (GWAS) have facilitated a substantial and rapid increase in the number of confirmed genetic susceptibility variants for complex diseases. Approximately 700 variants predisposing individuals to the risk for type 2 diabetes have been identified through GWAS until 2023. From 2018 to 2022, hundreds of type 2 diabetes susceptibility loci with smaller effect sizes were identified through large‐scale GWAS with sample sizes of 200,000 to >1 million. The clinical translation of genetic information for type 2 diabetes includes the development of novel therapeutics and risk predictions. Although drug discovery based on loci identified in GWAS remains challenging owing to the difficulty of functional annotation, global efforts have been made to identify novel biological mechanisms and therapeutic targets by applying multi‐omics approaches or searching for disease‐associated coding variants in isolated founder populations. Polygenic risk scores (PRSs), comprising up to millions of associated variants, can identify individuals with higher disease risk than those in the general population. In populations of European descent, PRSs constructed from base GWAS data with a sample size of approximately 450,000 have predicted the onset of diseases well. However, European GWAS‐derived PRSs have limited predictive performance in non‐European populations. The predictive accuracy of a PRS largely depends on the sample size of the base GWAS data. The results of GWAS meta‐analyses for multi‐ethnic groups as base GWAS data and cross‐population polygenic prediction methodology have been applied to establish a universal PRS applicable to small isolated ethnic populations.
Fibroblast growth factor signalling regulates the development of tooth root
Authors: Jin Chengxue , Adachi Noritaka , Yoshimoto Yuki , Sasabuchi Aino , Kawashima Nobuyuki , Ota Masato S. , Iseki Sachiko 
Published: January 2024

AbstractFibroblast growth factor (FGF) signalling plays a crucial role in the morphogenesis of multiple tissues including teeth. While the role of the signal has been studied in tooth crown development, little is known about root development. Of several FGF ligands involved in hard tissue formation, we suggest that FGF18 regulates the development of murine tooth roots. We implanted FGF18‐soaked heparin beads into the lower first molar tooth buds at postnatal day 6 (P6), followed by transplantation under the kidney capsule. After 3 weeks, FGF18 significantly facilitated root elongation and periodontal tissue formation compared to the control. In situ hybridisation showed that Fgf18 transcripts were initially localised in the dental pulp along Hertwig's epithelial root sheath at P6 and P10 and subsequently in the dental follicle cells at P14. Fgf receptors were expressed in various dental tissues during these stages. In vitro analysis using the dental pulp stem cells revealed that FGF18 inhibited cell proliferation and decreased expression levels of osteogenic markers, Runx2, Alpl and Sp7. Consistently, after 1 week of kidney capsule transplantation, FGF18 application did not induce the expression of Sp7 and Bsp, but upregulated Periostin in the apical region of dental mesenchyme in the grafted molar. These findings suggest that FGF18 facilitates molar root development by regulating the calcification of periodontal tissues.
Exploring intensive care nurses' perception of simulation‐based learning: A systematic review and meta‐synthesis
Authors: Weismantel Isabella , Zhang Nancy , Burston Adam 
Published: January 2024

AbstractAim(s)To explore intensive care nurses' (ICN) perceptions of simulation‐based learning (SBL).DesignA systematic review and meta‐synthesis.MethodsThe review followed the PRISMA guidelines for reporting a systematic review. A systematic search strategy was developed using a modified PICo framework. A comprehensive search was conducted in July 2023 in CINAHL, OVID Embase, Medline complete, Web of Science, ERIC and Scopus databases for articles published in English between 2013 and 2023. Data were extracted using the Joanna Briggs Institute QARI Data Extraction, with data synthesis guided by Braun and Clark's thematic analysis approach. Quality appraisal was assessed using the CASP tool.ResultsEleven studies providing qualitative data were included for analysis. Analysis and meta‐synthesis led to the construction of two themes: The learning experience and professional growth through collaboration.ConclusionThe review highlights the balance needed in finding the appropriate simulation approach, with the right level of fidelity, conducted at appropriately regular intervals, incorporating the correct makeup of professional team members, conducted in the right environment and facilitated by a skilled facilitator, to ensure best outcomes and return on investment for ICN's education.Implications for PracticeThese findings are a valuable resource for educators and organisations considering simulation‐based learning initiatives in the intensive care setting.No Patient or Public ContributionThis review involved analysis of existing literature and as such no unique patient or public involvement occurred.Reporting MethodThe systematic review followed the Preferred Reporting Items for Systematic Review and Meta‐Analysis (PRISMA) reporting guidelines.
Analysis of England's incident and mental health nursing workforce data 2015–2022
Authors: Woodnutt Samuel , Hall Simon , Libberton Paula , Flynn Matt , Purvis Francesca , Snowden Jasmine 
Published: January 2024

Accessible SummaryWhat is known on the subject?

Mental health services report adverse incidents in different ways and the relationship between adverse incidents and the workforce is uncertain. In England, there are national datasets recording all incidents and workforce statistics though there is no peer‐reviewed evidence examining recent trends.

What this paper adds to existing knowledge?

Although there has been an overall increase in the number of mental health nurses, more are working in the community and the number of nurses relative to adverse incidents has decreased. There have been service‐provision changes but the role of mental health nurses has not significantly changed in this period, and we can therefore assume that their current practice is saturated with risk or increased reporting. To help understand the relationship between nurses and incidents, we need to transform how incidents are recorded in England.

What are the implications for practice?

English mental health services report greater levels of patient‐related factors such as self‐harm or aggression rather than missed or erroneous care. This makes it difficult to understand if a rise in incident frequency is linked to reporting behaviour, patient risk, unsafe/ineffective care or other reasons and therefore planning workforce deployment to improve care quality is problematic.

AbstractIntroductionThere is a paucity of empirical data examining incidents and mental health nurses and the relationship between the two remains uncertain.AimComparison of English national data for incidents and nursing workforce to examine recent trends.MethodDescriptive analysis of two national datasets of incidents and workforce data for England between 2015 and 2022.ResultsA 46% increase in incidents was found; the leading causes are self‐harm and aggressive behaviour. Despite the rise in adverse incident reporting, a 6% increase in mental health nurses was found, with more nurses in community settings than hospitals.DiscussionCurrent services are incident reporting at greater concentrations than in previous years. Patient‐related behaviour continues to be most prominently reported, rather than possible antecedent health services issues that may contribute to reporting. Whilst staffing has increased, this does not seem to have kept pace with the implied workload evident in the increase in incident reports.Implications for PracticeGreater emphasis should be placed on health service behaviour in reporting mechanisms. Self‐harm and aggression should continue to be considered adverse outcomes, but causal health service factors, such as missed care, should be present in pooled reporting to help reduce the occurrence of adverse outcomes.
An integrative delimitation of the species boundaries within one hornbeam species complex (Betulaceae: Carpinus)
Authors: Lu Zhi‐Qiang , Yang Yong‐Zhi , Liu Jian‐Quan 
Published: January 2024

AbstractBoth hybridization and intraspecific morphological variation across environmental gradients complicate species delineation. We aimed to discern both possibilities that may blur species boundaries in the Carpinus viminea–Carpinus laxiflora–Carpinus londoniana species complex. We conducted statistical analyses on 535 specimens encompassing the entire distribution of this species complex to identify phenotypic clusters. Additionally, we analyzed genetic divergence and probable hybridization between clusters using 76 individuals from 37 populations. Based on phenotypic and genetic clusters, we tentatively recognized four species: C. viminea, C. fargesii, C. laxiflora, and C. londoniana. Except for rare overlapping distributions between C. fargesii and C. londoniana, the redefined four species are mostly allopatric to each another based on their distributions. The morphological delimitation, species boundary and distribution of each species differ distinctly from past taxonomic treatments. For example, specimens previously identified under C. viminea, in fact, belong to three different species. Hybrids between C. fargesii and C. londoniana exhibit morphological traits similar to C. viminea, thereby contributing to difficulties in determining species boundaries and outlining species distributions. These findings suggest that local selection and geographical isolation may together have promoted both phenotypic and genetic divergences within this species complex. However, interspecific hybridization blurs species boundaries by producing hybrids with phenotypic similarity in addition to intraspecific variation. This study emphasizes the importance of statistical analyses of population‐level morphological and genetic variations across major distributional ranges for an integrative delimitation of species boundaries and the identification of hybridization and hybrids.
Effect of daily light exposure on sleep in polar regions: A meta‐analysis
Authors: Shao Yingqi , Li Yao , Wang Nan , Xue Yan , Wang Tongyue , Qiu Fengxi , Lu Yi , Lan Danmei , Wu Hengjing 
Published: January 2024

SummaryAlthough studies have shown that light affects sleep in polar populations, the sample size of most studies is small. This meta‐analysis provides the first systematic review of the effects of summer glare, spring and fall moderate daylight, and artificial lighting on general sleep problems (sleep duration, efficiency, and delay). This analysis included 18 studies involving 986 participants. We calculated the random effect size via an evidence‐based meta‐analysis that analysed the effect of bright/auxiliary light on sleep and the effect of three different types of light on sleep compared with conventional light. There was no significant correlation between specific light types and sleep duration. Intense summer light has a negative effect on sleep time and efficiency. Moderate, natural light in spring and autumn effectively delayed sleep but could not improve sleep efficiency. For artificial fill light, neither blue light nor enhanced white light has been found to have a significant effect. In summary, summer light has a detrimental effect on sleep in polar populations, and moderate natural light may be superior to conventional light. However, specific strategies to improve sleep and artificial lighting in polar populations must be explored further.
Development of a Chrono‐Urbanism Status Composite Index under the 5/10/15‐Minute City Concept Using Social Media Big Data
Authors: Liu Dong , Kwan Mei‐Po , Wang Lan , Kan Zihan , Wang Jianying , Huang Jingbo 
Published: January 2024

AbstractDeveloping walkable urban environments is crucial for enhancing urban liveability and sustainability. To evaluate the chrono‐urbanism status, this study combines conventional census and mapping data with social media check‐in big data. A composite index is proposed, which assesses the accessibility of essential urban functions under the 5/10/15‐minute chrono‐thresholds. This index incorporates five categories of urban functions (public transit, living, education, health care and entertainment) in Macau. Utilising check‐in information from Sina Weibo, the level of attraction for different urban functions is integrated into the calculation. The findings highlight significant disparities in chrono‐urbanism status, with regions inhabited by lower socio‐economic status residents being more vulnerable than the affluent institutional and commercial centre of Macau. Leveraging social media big data, this study provides valuable insights to urban planners and policy‐makers, enabling them to understand the overall chrono‐urbanism status and target interventions for developing a more sustainable and liveable urban environment in Macau.
Comparison of the distraction index and Norberg angle with radiographic grading of canine hip dysplasia
Authors: Carneiro Rafael K. , da Cruz Igor C. , Lima Bruna , Aires Luiz P. N. , Pompeu Brenda , Ferreira Márcio P. , Giglio Robson F. , Uscategui Ricardo A. , Minto Bruno W. , Gasser Beatriz , Feliciano Marcus R. 
Published: January 2024

AbstractThe Orthopedic Foundation for Animals (OFA) radiographic grading system stands as a well‐established benchmark for categorizing hip dysplasia in canines. Although more objective techniques to quantify early hip laxity in young dogs, such as the Norberg angle (NA) and distraction index (DI), have been documented, there is a scarcity of published studies that directly compare these radiographic measures. The primary objectives of this prospective, analytical study were to assess and compare the NA and DI measures with OFA grades within a cohort of dogs. Thirty dogs (57 hip joints) were evaluated, with a mean age of 5.4 ± 2.9 years and a mean body weight of 34.3 ± 7.1 kg. The discriminative power of hip dysplasia for DI and NA used OFA as a reference were compared by multivariate discriminant analysis test. Using the DI (≤0.3) 12 joints were classified as normal, using NA (≥105°) 24 joints and using OFA (≤3) 29. When comparing the discriminant power of NA with OFA resulting similar (P = .8324) with correct classifications of 81% using cross validation, however, the discriminant power of dysplasia of the DI resulted significantly greater (P = .0034) than OFA with correct classifications of only 59% using cross‐validation, consequently it was possible determined that of 29 patients with OFA ≤ 3, 20 had DI > 0.3. These findings demonstrated that phenotypic healthy dogs according to OFA grading can present passive hip joint laxity, as demonstrated by radiographic evaluation with distraction. Furthermore, DI can contribute to the screening of CHD when evaluated in conjunction with OFA grading.
Interface Reliability Modeling of Coaxial Through Silicon Via Based on WOA-BP Neural Network
Authors: Zhang Liwen , Yang Chen , Yang He , Wang Jinchan , Zhang Jincan 
Published: January 2024

Abstract
Due to the complex structure and thermal mismatch of coaxial through silicon via (TSV), cracks easily occur under thermal load, leading to interface delamination or spalling failure. The reliability issue of coaxial TSV is important for its application in three-dimensional packaging, so it is of great significance to predict the crack trend and evaluate the reliability of coaxial TSV. In this paper, an algorithm model with the combination of whale optimization algorithm (WOA) and back propagation (BP) neural network for the reliability prediction of coaxial TSV is proposed. Based on finite element method (FEM), the training and validation datasets of the energy release rates (ERR) of the crack at the critical interface are calculated to construct the deep learning neural network. Six key structure parameters affecting the reliability of coaxial TSV are selected as the input values of the BP neural network. The maximum relative error of whale optimization algorithm optimized back propagation (WOA-BP) neural network model is 0.88%, which is better than the prediction results of the traditional BP and genetic algorithm (GA) optimized BP models. The WOA-BP neural network model was also compared with BP and GA-BP neural network models with four error metric models. It is verified that WOA-BP neural network model has the best prediction performance. The proposed model can be used to achieve improved prediction accuracy for the interface reliability of coaxial TSV under complex structural conditions since it has higher accuracy and stronger robustness.
Targeted genomic sequencing of avian influenza viruses in wetland sediment from wild bird habitats
Authors: Kuchinski Kevin S. , Coombe Michelle , Mansour Sarah C. , Cortez Gabrielle Angelo P. , Kalhor Marzieh , Himsworth Chelsea G. , Prystajecky Natalie A. 
Published: January 2024

ABSTRACT

Diverse influenza A viruses (IAVs) circulate in wild birds, including highly pathogenic strains that infect poultry and humans. Consequently, surveillance of IAVs in wild birds is a cornerstone of agricultural biosecurity and pandemic preparedness. Surveillance is traditionally done by testing wild birds directly, but obtaining these specimens is labor intensive, detection rates can be low, and sampling is often biased toward certain avian species. As a result, local incursions of dangerous IAVs are rarely detected before outbreaks begin. Testing environmental specimens from wild bird habitats has been proposed as an alternative surveillance strategy. These specimens are thought to contain diverse IAVs deposited by a broad range of avian hosts, including species that are not typically sampled by surveillance programs. To enable this surveillance strategy, we developed a targeted genomic sequencing method for characterizing IAVs in these challenging environmental specimens. It combines custom hybridization probes, unique molecular index-based library construction, and purpose-built bioinformatic tools, allowing IAV genomic material to be enriched and analyzed with single-fragment resolution. We demonstrated our method on 90 sediment specimens from wetlands around Vancouver, Canada. We recovered 2,312 IAV genome fragments originating from all eight IAV genome segments. Eleven hemagglutinin subtypes and nine neuraminidase subtypes were detected, including H5, the current global surveillance priority. Our results demonstrate that targeted genomic sequencing of environmental specimens from wild bird habitats could become a valuable complement to avian influenza surveillance programs.

IMPORTANCE
In this study, we developed genome sequencing tools for characterizing avian influenza viruses in sediment from wild bird habitats. These tools enable an environment-based approach to avian influenza surveillance. This could improve early detection of dangerous strains in local wild birds, allowing poultry producers to better protect their flocks and prevent human exposures to potential pandemic threats. Furthermore, we purposefully developed these methods to contend with viral genomic material that is diluted, fragmented, incomplete, and derived from multiple strains and hosts. These challenges are common to many environmental specimens, making these methods broadly applicable for genomic pathogen surveillance in diverse contexts.