bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tourist motivation to adopt smart hospitality: the impact of smartness and technology readiness
Authors: Khan Salman , Khan Safeer Ullah 
Published: October 2024

PurposeAs smart technologies rapidly permeate the hospitality industry, understanding their impact on guest experiences is crucial. Existing research often treats smart technology as a peripheral factor, without fully exploring the essence of “smartness.” This study addresses that gap by leveraging the Hedonic Information Systems Acceptance Model (HISAM) to differentiate between the utilitarian and hedonic motivations that influence tourists' intentions to stay in smart hotels. Additionally, we introduce technology readiness as a moderating factor, examining how individual traits affect behavior in smart hospitality environments.Design/methodology/approachUsing SmartPLS 3.2.8, we conducted structural equation modeling (SEM) on 311 valid samples to empirically test our hypotheses.FindingsOur results reveal that HISAM factors significantly influence tourists’ intentions to engage with smart hotel services. Notably, the perception of smartness emerges as a key driver of perceived ease of use, usefulness and enjoyment. These insights pave the way for both theoretical advancements and practical applications, with recommendations for future research outlined.Practical implicationsThis study not only advances theoretical understanding but also provides actionable insights for the hospitality industry. By identifying the factors that enhance user experience in smart hotels, industry professionals can better meet evolving guest expectations and preferences, thereby improving service quality and customer satisfaction.Originality/valueThis pioneering study is the first to integrate the concept of smartness within the HISAM framework, establishing a robust foundation for future research in the tourism and hospitality sectors. Furthermore, the introduction of technology readiness as a moderating variable offers a fresh perspective on individual differences in the adoption of smart technologies.
Corporate governance practices and banks’ performance: does the moderating role of foreign representation matter?
Authors: Dike Victor Onuorah , Tuffour Joseph Kwadwo 
Published: October 2024

Purpose
One of the mechanisms to make better bank management rests on improved corporate governance practices with diverse backgrounds including foreign representation. However, bank performance remains poor. The purpose of this study is to investigate whether foreign directors have moderating effects on the influence of board characteristics on the performance of banks in the Nigerian context.

Design/methodology/approach
The quantitative explanatory design of this study was based on a cross-sectional survey of respondents (executive and non-executive directors including independent directors) of the population of 285 bank directors in 26 Nigerian banks.

Findings
Using a sample of 121 respondents, the structural equation modelling results reveal that foreign nationality had a positive moderating effect on the influence of each board independence and audit committee on banks’ performance. However, foreign nationality negatively moderated the effect of board size and nomination committees on banks’ performance. In addition, foreign directors’ membership on boards positively moderates the relationship between remuneration committees and banks’ performance.

Research limitations/implications
The findings of this study extend our understanding of the strategic composition of the board in Nigerian banks. The findings are useful in encouraging business corporations to further strengthen their corporate governance practices. Also, foreign board members’ effectiveness is case-sensitive and committee-dependent.

Originality/value
Banks desirous of having foreign directors need to ensure that, they have the necessary capacity and fit into the local environment as well as engage foreign directors in tailored integration programmes.
The status of co-responders in law enforcement: findings from a national survey of law enforcement agencies
Authors: Uding Clair V. , Moon Haley R. , Lum Cynthia 
Published: October 2024

PurposeIn response to calls for police reform, agencies and researchers have turned their attention to alternative responses to mental health crisis calls. Jurisdictions across the United States are adopting co-responder teams that bring qualified mental or behavioral health professionals into emergency responses by the police. The current study aims to estimate the prevalence and use of these teams in the United States and to document their varieties and features.Design/methodology/approachWe developed and administered a first-of-its-kind survey to a nationally representative sample of local and state law enforcement agencies. A total of 568 agencies completed the survey. The current analysis provides a descriptive account of the use and practices of co-responder programs and crisis intervention among the responding agencies.FindingsWe find there is wide variation in the staffing, operations, qualifications, characteristics and beliefs about the effectiveness of co-responder programs across the country. Additionally, there is a lack of consistent programmatic guidance for these programs that can inform their future development. Consequentially, agencies face personnel and funding challenges in implementing and maintaining these programs.Originality/valueThis study showcases findings from the first national survey of co-responder teams that investigates the prevalence, characteristics and operation of these teams. This information is the first step in evaluating the effectiveness of co-responder programs and, in turn, developing evidence-based guidelines and protocols for their implementation.
Investigation of tribological properties of industrial products with different patterns produced by 3D printing using polylactic acid
Authors: Toktaş İhsan , Akıncıoğlu Sıtkı 
Published: October 2024

Purpose
With the development of technology, the production of industrial products with 3D (3-Dimensional) printing has become widespread. Variables in production methods affect the durability of products. For this reason, studies to increase the durability of products are gaining importance. This paper aims to examine the tribological behavior of products produced in different patterns using 3D printing methods.

Design/methodology/approach
Friction wear tests of polylactic acid (PLA) samples produced in different patterns were carried out on a pin-on disc testing device. Friction wear tests were performed according to ASTM G-99 standard. Friction coefficient, weight loss and wear surface images were evaluated.

Findings
According to the results obtained, it was determined that pattern differences affected the tribological properties of the samples. The lowest coefficient of friction was observed in PLA1, while the highest wear resistance was found in PLA3.

Originality/value
Studies on the tribological properties of samples produced with a 3D printer are limited. In this study, the effect of samples with a 50% filling rate and different patterns on tribological properties was investigated. It was desired to determine the effect of different patterns on wear characteristics.
New opportunities for grassland species in warming temperate winters
Authors: Lubbe F. Curtis , Kučerová Andrea , Bitomský Martin , Klimešová Jitka 
Published: October 2024

Abstract

Temperate winters are getting warmer, the length of the growing season is increasing and mid‐winter fluctuations of warm and freezing temperatures are more frequent. Although typically winter dormant, some herbaceous perennials can maintain or grow green leaves during the winter and more species may do so as winters become warmer. For wintergreen leaves to provide an advantage, they must be able to photosynthesize during the warm spells but also withstand freezing temperatures and fluctuations between the two conditions.

To understand the leaf traits of wintergreen herbs, we studied three widely distributed perennial species: Bellis perennis, Plantago lanceolata and Trifolium repens. For contrast between winter and growing season leaves, we measured three common leaf economic traits (LDMC, SLA and leaf N content). To assess freezing tolerance, we measured the ice nucleation temperature and LT50 after frost exposure in winter leaves. To confirm photosynthetic ability, we measured photosynthetic efficiency (Fv/Fm value) in winter and late spring. Additionally, we surveyed the green and dead leaf coverage for herbaceous species in a lawn community from winter to early summer (four surveys in total). We used our observations to determine phenological categories and compared them to historical observations of wintergreenness.

All three species had denser leaves with lower nitrogen content in winter than in the growing season and relatively high tolerance of freezing temperatures (average of −8°C ice nucleation temperature and −15°C LT50). Both winter and growing season leaves were capable of photosynthesis, but the efficiency was greater for growing season leaves. In the community survey, a majority of the plant species had green leaves in winter, and many were without dead winter leaves. Many wintergreen herbs had previously been labelled ‘summer green’.

With these initial investigations into the traits and phenology of wintergreen herbs, we confirm that wintergreen leaves have different traits from typical growing season leaves and are capable of both photosynthesis and freezing tolerance. Wintergreen herbs have a broad range of phenological strategies and differ from observations 20 years ago. In many temperate regions, winter is becoming a new growing season and thus should be included in phenological studies.

Read the free Plain Language Summary for this article on the Journal blog.
Action‐based explanations as a basis for the analysis and design of the social world
Authors: Maurer Andrea 
Published: October 2024

AbstractIn sociology, the question of what it means to explain social phenomena and how this relates to the purpose of the social sciences is important but nowadays rarely asked. This article elaborates on this question and provides an answer by outlining the program of “explanatory sociology” as a branch of the modern social science approach. It is shown that, in this framework, to explain means to uncover cause‐effect relationships based on models of individuals who are assumed the central force in social life. This idea is taken further to uncover specific challenges that individuals face in social life and how and why they establish and manage (or do not) social forms that help to organize the world from the viewpoint of their abilities and needs. Such action‐oriented explanations have been presented and developed in sociology since its very beginning. Two main forms or logics to construct action‐based explanations are outlined and developed due to the form and function of the used action theory or model. The article contributes to the discussion about the form and task of sociological theorizing by presenting action‐based explanations as a form of sociological theorizing that defines a clear task in exploring challenges in social life and assessing possible forms of coping with them from the perspective of individuals. By doing so, two main ways of broadening explanations are considered and compared in light of what the purpose of sociology might be.
The dynamics of green technological innovation and environmental policy stringency for sustainable environment in BRICS economies
Authors: Fatima Nudrat , Yanting Zheng , Guohua Ni , Khan Muhammad Kamran 
Published: October 2024

AbstractThe continuous rise in global economic growth (EG) and human activities has contributed to the release of CO2, emphasizing the crucial role of environmental policy stringency (EPS) in encouraging green innovation to lower CO2 emissions levels and achieve environmental sustainability. This study aims to analyze the direct impacts of geopolitical risk (GPR), renewable energy consumption (RE), EPS, green technical innovation, and EG on CO2 emissions in Brazil Russia, India, China, and South Africa (BRICS) economies on the dataset spanning from 1990 to 2020 using dynamic ordinary least square, fully modified ordinary least square, and method of moment quantile regression approach. The results demonstrate that stringent environmental regulations and the adoption of green technology are negatively associated with CO2 emissions. Further, the interaction of INV*EPS also demonstrates a negative impact on CO2 emission. In contrast, GPR and EG have a positive effect on CO2 emissions. These findings suggest that it is imperative for the policymakers of BRICS economies to implement measures that effectively encourage the adoption of green innovative technologies through the adoption of robust policy initiatives. In general conclusion, the long‐term viability depends on the implementation of green innovations by enacting strict environmental regulations in the sample countries. Based on these findings study suggests that there is a need to prioritize the consumption of renewable energy sources, the adoption of rigorous environmental regulations, and the utilization of climate‐friendly technology to attain extensive and sustainable economic development. Furthermore, this study urges the attention of government officials and policymakers in these economies to redesign more effective strategies to address these potential challenges and safeguard the environment.
Short‐term evaluation of Cure Violence St. Louis: Challenges, triumphs, and lessons learned
Authors: Lentz Theodore S. , Vogel Matt , Mathias Brenda , Early Alessandra , Rey Kimberly , Ibitayo Tobeya , Davis Matifadza Hlatshwayo 
Published: October 2024

AbstractResearch SummaryFirearm violence continues to be a leading cause of death in the United States. As alternatives to law enforcement intervention, community‐based violence prevention programs, such as Cure Violence, have become increasingly popular across U.S. cities. This article documents the results of a multiyear, mixed‐methods, quasi‐experimental study of the implementation and impact of Cure Violence in St. Louis, Missouri, from 2020 to 2023. We analyzed data from semistructured interviews, a two‐wave community survey, and police records of neighborhood violence, finding limited evidence of program effectiveness. Although some interview participants stated that the program had a positive impact, we observed no change in community norms/perceptions of violence, and our analysis of police data suggests that program implementation was associated with declining violence in only one of the three intervention sites.Policy ImplicationsThis article highlights challenges of implementing and evaluating community‐based violence prevention. More work is needed to unpack the mechanisms responsible for turning program activities into measurable impacts in both the short and long term. Implications for planning and evaluating community‐based violence prevention programs are discussed.
Comparative analysis of chromosome‐level genomes provides insights into chromosomal evolution in Chiroptera
Authors: WANG Zerong , TIAN Shilin , PANG Jiaxin , ZHANG Xiangyi , HAO Xiangyu , ZHANG Libiao , ZHAO Huabin 
Published: October 2024

AbstractChiroptera (bats) presents a fascinating model due to its remarkable variation in chromosome numbers, which range from 14 to 62. This astonishing diversity makes bats an excellent subject for studying chromosome evolution. The black‐bearded tomb bat (Taphozous melanopogon) occupies a pivotal phylogenetic position within Chiroptera, emphasizing its crucial role in the systematic examination of bat chromosome evolution. In this study, we present the first chromosome‐level genome of T. melanopogon within the family Emballonuridae. Together with previously published genomes, we construct a strongly supported phylogenetic tree of bats, which supports that Emballonuridae forms a basal group within Yangochiroptera. Furthermore, we reconstruct ancestral karyotypes at key nodes along the bat phylogeny and conduct a synteny analysis among the genomes of 12 bat species. Our findings identified evolutionary breakpoint regions (EBRs) that are of particular interest. Notably, some bat genomes exhibit an enrichment of genes related to host defense against microbial pathogens within EBRs. Remarkably, one species possesses multiple copies of some β‐defensin genes, while six other species have experienced the loss of some β‐defensin genes due to EBRs. Furthermore, some olfactory receptor genes are located in EBRs of 12 species, 4 of which have a significant enrichment in sensory perception of smell. Together, our comparative genomic analysis underscores the potential link between chromosome rearrangements and the adaptation of bats to defend against microbial pathogens.
Letter: Muddle of serum sPD‐1 and sPD‐L1 levels and association with HBsAg clearance in HBeAg‐negative CHB patients on IFN therapy
Authors: Jindal Ankur 
Published: October 2024

LINKED CONTENTThis article is linked to Chen et al paper. To view this article, visit https://doi.org/10.1111/apt.18131.
Site‐specific m6A‐miR‐494‐3p, not unmethylated miR‐494‐3p, compromises blood brain barrier by targeting tight junction protein 1 in intracranial atherosclerosis
Authors: Woudenberg Tamar , van der Bent M. Leontien , Kremer Veerle , Waas Ingeborg S. E. , Daemen Mat J. A. P. , Boon Reinier A. , Quax Paul H. A. , Nossent A. Yaël 
Published: October 2024

Background and PurposeIntracranial atherosclerosis is one of the most common causes of ischaemic stroke. However, there is a substantial knowledge gap on the development of intracranial atherosclerosis. Intracranial arteries are characterized by an upregulation of tight junctions between endothelial cells, which control endothelial permeability. We investigated the role of N6‐methyladenosine (m6A), a common RNA modification, on endothelial integrity, focusing on the pro‐atherogenic microRNA miR‐494‐3p and tight junction proteins TJP1 and PECAM1.Experimental ApproachWe assessed the m6A landscape, along with the expression of miR‐494‐3p, TJP1 and PECAM1 in postmortem human vertebral arteries (VA), internal carotid arteries (ICA), and middle cerebral arteries (MCA) with various stages of intimal thickening and plaque formation. The interactions between m6A‐modified miR‐494‐3p mimics, TJP1 and PECAM1, were investigated in vitro using primary human (brain) endothelial cells.Key ResultsIncreased m6A expression was observed in the luminal lining of atherosclerosis‐affected VAs, accompanied by reduced TJP1 and PECAM1, but not VE‐cadherin, expression. Colocalization of m6A and miR‐494‐3p in the luminal lining of VA plaques was confirmed, indicating m6A methylation of miR‐494‐3p in intracranial atherosclerosis. Moreover, site‐specific m6A‐modification of miR‐494‐3p led to repression specifically of TJP1 protein expression at cell–cell junctions of brain microvascular endothelial cells, while unmodified miR‐494‐3p showed no effect.Conclusions and ImplicationsThis study highlights increasing m6A levels during intracranial atherogenesis. Increases in m6A‐miR‐494‐3p contribute to the observed decreased TJP1 expression in endothelial cell–cell junctions. This is likely to have a negative effect on endothelial integrity and may thus accelerate intracranial atherosclerosis progression.
Academic Management in Chilean Universities: An Analysis From Academics' Perspective
Authors: Brunner José Joaquín , Alarcón Mario 
Published: October 2024

ABSTRACTThis article analyses academics' perceptions of work management and their job satisfaction in Chilean universities, using a multi‐level approach (macro, meso and micro) to study changes in the academic environment. It is based on the survey ‘The Academic Profession in the Knowledge‐Based Society’ (APIKS) with data from 11 universities and 1258 valid responses. Three groups of academics are identified according to whether they are engaged in research, teaching or a balance of both. The results of the study show that, at the university level, resource allocation favours teaching, while individual recognition tends to favour research. Institutionally, teaching is prioritised because of its economic impact, but individually, research is more highly valued. This picture reflects a hybrid management model, with tendencies towards de‐professionalisation in teaching and entrepreneurialisation in research. Despite these pressures, academics report high levels of job satisfaction, an aspect that requires further research.
Optimising Curriculum Quality Assessment in Application‐Oriented Universities: A Student‐Centric Approach Using Entropy and Cloud Model
Authors: Fu Yanmei 
Published: October 2024

ABSTRACTClassroom instruction is the cornerstone of teaching methodologies, supported by educational and pedagogical research. It is the primary way students acquire knowledge and skills. The quality of the curriculum directly affects the effectiveness of personnel training. Assessing the curriculum quality is crucial for improving classroom instruction. Establishing a scientifically sound evaluation framework is essential for fostering a strong educational ecosystem and creating a sustainable mechanism for long‐term educational advancement. This study addresses the challenges in assessing course quality in application‐oriented universities. It identifies assessment parameters through expert consultation and adopts a ‘student perception’ perspective. Using the entropy weight method, the importance of each parameter is determined. A curriculum quality evaluation model based on the cloud model is then formulated. Finally, the practical application of this evaluation model is demonstrated. This approach provides a theoretical basis for refining curriculum quality evaluation systems in higher education institutions.
Effects of AI Affordances on Student Engagement in EFL Classrooms: A Structural Equation Modelling and Latent Profile Analysis
Authors: Xu Jinfen , Li Juan 
Published: October 2024

ABSTRACTVarious AI technologies have been extensively introduced in language learning, showing positive impacts on students' learning, especially on their classroom‐based engagement. Yet, AI's comprehensive affordances as well as influences across different cohorts of student engagement remain underexplored. Given this, the current study, employing structural equation modelling (SEM), delineated the factor structures and predictive relationships of AI affordances and student engagement. Besides, to clarify the variations across different engagement subgroups, the study also explored latent profiles of student engagement and their moderating effects through latent profile analysis (LPA). SEM and LPA were conducted using AMOS 23 and Mplus 8, respectively. The participants comprised 408 undergraduate students from various universities in China, who have engaged in English as a Foreign Language (EFL) learning within AI‐empowered classroom environments. Factor analysis indicated that both AI affordances and student engagement exhibited two second‐order factor structures. AI affordances were categorised into four dimensions: convenience, interactivity, personalisation and social presence. Student engagement was also divided into four dimensions: cognitive, behavioural, emotional and social engagement. Additionally, AI affordances significantly affected student engagement, with this impact being moderated by different student engagement profiles. Student engagement was segmented into three sub‐groups: non/low engagement, high engagement and moderate engagement. Therein, AI affordances showed a notable effect on the non‐/low engagement group. These findings provide a solid foundation for future research in the integration of AI technologies with language learning.