bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Hard Sphere Model for Single File Water Transport Across Biological Membranes
Authors: Manning Gerald S. 
Published: October 2023

AbstractWe use Gürsey’s statistical mechanics of a one-dimensional fluid to find a formula for thePf/Pdratio in the transport of hard spheres across a membrane through a narrow channel that can accommodate only single file movement.Pfis the membrane permeability for osmotic flow, andPdthe permeability for exchange across the membrane in the absence of osmotic flow. The deviation of the ratio from unity indicates the degree of cooperative transport relative to ordinary diffusion of independent isolated molecules. In contrast to an early idea thatPf/Pdmust be equal to the number of molecules in the channel, regardless of the physical nature of the interactions among the molecules, we find a functional dependence on the fractional occupancy of the length of the channel by the hard spheres. We also attempt a random walk calculation forPdindividually, which gives a result forPfas well when combined with the ratio.
Probing different conformational states of polar organizing protein Z with AlphaFold
Authors: Taneja Ishan , Lasker Keren 
Published: October 2023

AbstractAlphaFold has been a remarkably powerful tool to predict the structures of proteins. Here, we demonstrate that AlphaFold is capable of sampling different conformational states of the oligomerization domain of polar organizing protein Z (PopZ). More broadly, our work suggests that conformational heterogeneity can be extracted from AlphaFold without directly modifying the input multiple sequence alignment.
Examining infantile facial features and their influence on caretaking behaviors in free-ranging Japanese macaques (Macaca fuscata)
Authors: Minami Toshiki , Furuichi Takeshi 
Published: October 2023

AbstractFacial features of immature individuals play a pivotal role in eliciting caretaking behaviors in humans. It has been posited that non-human animals share particular infantile facial features with humans, which can elicit caregivers’ attention and caretaking behaviors. Nevertheless, the empirical examination of this hypothesis is extremely limited. In this study, we investigated infantile facial features in Japanese macaques (Macaca fuscata), their developmental processes, and their correlation with caretaking and infant behaviors, based on 470 facial photographs from one free-ranging group. We measured the size of facial parts and evaluated infantile facial features in Japanese macaques with non-contact procedures with the animals. The results indicated that, although some partial species differences were observed, the infantile facial features in Japanese macaques were broadly consistent with those previously observed in humans and great apes. Furthermore, half of the infant subjects displayed non-linear developmental trajectories of infantile faces similar to those suggested in humans. These changes were sex-based, with most females demonstrating a linear trajectory and most males a hump-shaped development in their facial proportions. However, unlike previous studies in humans, infantile faces were not significantly associated with maternal or non-maternal caretaking behaviors, nor were their developmental changes correlated with infant behavioral development. These findings indicate that while many aspects of infantile facial features are shared among particular primates, humans may have evolved a uniquely elevated preference for selecting such features among the primate lineage.
The prevalence of potential side effects of COVID-19 vaccines among vaccinated Iraqi people: a prospective cross-sectional study
Authors: Salman Hamzah Abdulrahman , Hussin Amer M. , Hassan Arshad Hamed , Al Sabbah Haleama , Al-Khafaji Khattab 
Published: October 2023

PurposeSeveral types of vaccines were manufactured by different companies to control and stop the spread of COVID-19. This study aimed to identify the postvaccination side effects of the three different vaccines (Pfizer, AstraZeneca and Sinopharm) among the Iraqi population in Baghdad, Iraq.Design/methodology/approachA prospective cross-sectional study was conducted in Baghdad, Iraq from May 2021 to March 2022. An online-based questionnaire was used to collect the data through social media, i.e. WhatsApp, Messenger and Google Classroom. A total of 737 vaccinated participants using a snowball sampling methodology were used in this study.FindingsAmong the study population, 328 (44.50%) were males and 409 (55.50%) were females. The highest age group that participated was 18–30 years (79.10%) followed by 31–40 years (12.10%), 41–50 years (4.20%), 51–60 years (2.40%) and 60 = years (2.20%). However, 58.8% of the participants received Pfizer-BioNTech, 23.7% received the AstraZeneca-Oxford vaccine and 17.5% received Sinopharm. Out of the total participants, 56.60% showed postvaccination side-effects such as fever, headache, fatigue and dizziness, while 33% showed no side-effects and 10.40% were not sure. Pfizer-BioNTech and AstraZeneca-Oxford vaccines were the most vaccines prevalent of side-effects.Originality/valueThe majority of the side reactions associated with the AstraZeneca and Pfizer vaccines were manageable and self-limiting, including fever, fatigue, headache, joint pain and dizziness, compared to the Sinopharm vaccines, which reported lower postside effects.
Smart HRM 4.0 practices for organizational performance: the role of dynamic capabilities
Authors: Pillai Rajasshrie , Srivastava Kailash B.L. 
Published: October 2023

PurposeThe study explores the factors affecting the use of smart human resource management 4.0 (SHRM 4.0) practices and its effect on dynamic capabilities and, consequently, on organizational performance.Design/methodology/approachThe authors used socio-technical and dynamic capabilities theory to propose the notable research model. The authors explored the factors driving the use of SHRM 4.0 practices and their contribution to organizational performance through the development of dynamic capabilities. The authors collected data from 383 senior HR managers using a structured questionnaire, and PLS-SEM was used to analyze the data.FindingsThe results show that socio-technical factors such as top management support, HR readiness, competitive pressure, technology readiness and perceived usefulness influence the use of SHRM 4.0 practices, whereas security and privacy concerns negatively influence them. Furthermore, the authors also found the use of SHRM 4.0 practices influencing the dynamic capacities (build (learning), integration and reconfiguration) and, subsequently, its impact on organizational performance.Originality/valueIts novelty lies in developing a model using dynamic capabilities and socio-technical theory to explore how SHRM 4.0 practices influence organizational performance through dynamic capabilities. This study extends the literature on SHRM 4.0 practices, HR technology use, HR and dynamic capabilities by contributing to socio-technical theory and dynamic capabilities and expanding the scope of these theories in the area of HRM. It provides crucial insights into HR and top managers to benchmark SHRM 4.0 practices for improved organizational performance.
Preparing for Industry 5.0: a methodology for avoiding corporate amnesia
Authors: Leon Ramona Diana , Rodríguez-Rodríguez Raúl , Alfaro-Saiz Juan-José 
Published: October 2023

PurposeThis research sought to identify the best strategy for avoiding corporate amnesia in the context of the Industry 5.0 and an aging society.Design/methodology/approachTo achieve this goal, a multi-phase methodology based on analytic network process was proposed and tested in one of the biggest companies in the bakery industry.FindingsThe results highlight that online communities of practice and storytelling are the best way to avoid corporate amnesia. The most important factors are commitment, work satisfaction and organizational culture. Commitment and work satisfaction also enhance the use of online communities of practice, while work satisfaction and organizational culture foster the use of storytelling.Originality/valueThis article proposes a nexus between knowledge management and operations management. This research also presents a decision-making tool that can help managers determine the most appropriate strategy for avoiding corporate amnesia.
The effect of virtual reality experience quality on destination visit intention and virtual reality travel intention
Authors: Yersüren Sezer , Özel Çağıl Hale 
Published: October 2023

Purpose
This study aims to investigate the effect of virtual reality experience quality on destination visit intention and virtual reality travel intention through the technology acceptance model (TAM).

Design/methodology/approach
Quantitative data gathered from questionnaires applied to 198 people after undertaking an imaginary three-dimensional (3D) destination experience were analyzed with PLS-SEM.

Findings
Virtual reality experience quality influences perceptions and intentions. The perceived ease of use affects perceived usefulness, perceived usefulness effects attitude and destination visit intention, while perceived risk affects only virtual reality travel intention. Attitude affects both intentions.

Research limitations/implications
The main limitation of the study relates to the quality of the experience offered, which is limited to the technical capacity of the virtual reality glasses used. Virtual reality can be used as a new economic offering and create a realistic destination experience. Virtual reality experience quality is an important determinant of intention in physical and imaginary travels, in shaping perceptions and minimizing travel risks. The explanatory power of the model can be increased by adding the perceived risk variable to TAM. The study has brought new perspectives, new insights and suggestions for developing tourism.

Originality/value
In the study, a 3D imaginary destination with its mise-en-scène and story, which includes more than one destination type, was designed. This study contributes to the literature by analyzing real and virtual visit intentions, combining the fields of the experience economy, risk perception and TAM.
Exploring the impact of employer brand attributes on financial performance: an intellectual capital perspective
Authors: Dženopoljac Vladimir , Ognjanović Jasmina , Dženopoljac Aleksandra , Kraus Sascha 
Published: October 2023

PurposeThe employer brand is a crucial intangible asset for companies as it enhances the employer–employee relationship, leading to improved employee performance and overall company outcomes. This paper aims to investigate the contribution of the employer brand to the financial results of companies in southern Europe.Design/methodology/approachThe sample consists of 266 companies operating in southern European countries during the year 2020. Secondary data on employer brand attributes, assessed from the perspective of current employees, were collected from the Glassdoor platform. Financial indicators were obtained from the companies' annual financial reports. The research hypotheses were tested using regression analysis.FindingsThe results of the regression analysis support the notion that the employer brand contributes to profitability indicators and management effectiveness indicators of southern European companies. However, the study did not find evidence supporting the contribution of the employer brand to market indicators and financial structure indicators of the observed companies.Originality/valueThis study is one of the first empirical investigations to assess the role of the employer brand as a human capital tool for enhancing the financial performance of companies in southern Europe. The study examines employer brand attributes from the perspective of current employees, who actively participate in shaping the employer brand and the company's image. In contrast to prior research, this study incorporates a more extensive set of financial indicators, categorized into four groups: profitability indicators, management effectiveness indicators, market indicators and financial structure indicators.
The influence of emotions on online information sharing behavior
Authors: Dabbous Amal , Aoun Barakat Karine 
Published: October 2023

Purpose
The spread of fake news represents a serious threat to consumers, companies and society. Previous studies have linked emotional arousal to an increased propensity to spread information and a decrease in people’s ability to recognize fake news. However, the effect of an individual’s emotional state on fake news sharing remains unclear, particularly during periods of severe disruptions such as pandemics. This study aims to fill the gap in the literature by elucidating how heightened emotions affect fake news sharing behavior.

Design/methodology/approach
To validate the conceptual model, this study uses a quantitative approach. Data were collected from 212 online questionnaires and then analyzed using the structural equation modeling technique.

Findings
Results of this study show that positive emotions have indirect effects on fake news sharing behavior by allowing users to view the quality of information circulating on social media in a more positive light, and increasing their socialization behavior leading them to share fake news. Negative emotions indirectly impact fake news sharing by affecting users’ information overload and reinforcing prior beliefs, which in turn increases fake news sharing.

Research limitations/implications
This study identifies several novel associations between emotions and fake news sharing behavior and offers a theoretical lens that can be used in future studies. It also provides several practical implications on the prevention mechanism that can counteract the dissemination of fake news.

Originality/value
This study investigates the impact of individuals’ emotional states on fake news sharing behavior, and establishes four user-centric antecedents to this sharing behavior. By focusing on individuals’ emotional state, cognitive reaction and behavioral response, it is among the first, to the best of the authors’ knowledge, to offer a multidimensional understanding of individuals’ interaction with news that circulates on social media.
ChatGPT and the AI revolution: a comprehensive investigation of its multidimensional impact and potential
Authors: Afjal Mohd 
Published: October 2023

PurposeThe aim of the study is to understand the transformative impact of ChatGPT on artificial intelligence (AI) research, its applications, implications, challenges and potential to shape future AI trends. The study also seeks to assess the relevance and quality of research output through citation and bibliographic coupling analysis.Design/methodology/approachThis study employed a comprehensive bibliometric analysis using Biblioshiny and VOSviewer to investigate the research trends, influential entities and leading contributors in the domain of AI, focusing on the ChatGPT model.FindingsThe analysis revealed a high prevalence of AI-related terms, indicating a significant interest in and engagement with ChatGPT in AI studies and applications. “Nature” and “Thorp H.H.” emerged as the most cited source and author, respectively, while the USA surfaced as the leading contributor in the field.Research limitations/implicationsWhile the findings provide a comprehensive overview of the ChatGPT research landscape, it is important to note that the conclusions drawn are only as current as the data used.Practical implicationsThe study highlights potential collaboration opportunities and signals areas of research that might benefit from increased focus or diversification. It serves as a valuable resource for researchers, practitioners and policymakers for strategic planning and decision-making in AI research, specifically in relation to ChatGPT.Originality/valueThis study is one of the first to provide a comprehensive bibliometric analysis of the ChatGPT research domain, its multidimensional impact and potential. It offers valuable insights for a range of stakeholders in understanding the current landscape and future directions of ChatGPT in AI.
Tourism destination social responsibility and the moderating role of self-congruity
Authors: Karatepe Osman M. , Rezapouraghdam Hamed , Hassannia Raheleh , Kim Taegoo Terry , Enea Constanța 
Published: October 2023

Purpose
This paper investigates the interrelationships of destination social responsibility (DSR), emotional attachment, self-congruity, experiential satisfaction and environmentally responsible behavior (ERB).

Design/methodology/approach
Using a sample of 294 visitors to the Guangzhou Zoo in China, this study tested the aforementioned relationships via structural equation modeling.

Findings
Emotional attachment mediates the effect of DSR on experiential satisfaction, while emotional attachment and experiential satisfaction mediate the effect of DSR on ERB sequentially. Moreover, self-congruity moderates the relationship between DSR and emotional attachment.

Practical implications
The management of zoos should use DSR communication strategies more proactively to make visitors become well-aware of their economic, philanthropic, environmental and social activities in the host community. This will result in many positive consequences, including visitors’ ERBs.

Originality/value
The study adds to the DSR literature by introducing multiple mediation mechanisms and paths that lead to visitors’ ERBs.
How to design multifunctional landscapes?
Authors: Garibaldi Lucas A. , Zermoglio Paula F. , Jobbágy Esteban G. , Andreoni Lucas , Ortiz de Urbina Alejo , Grass Ingo , Oddi Facundo J. 
Published: October 2023

Abstract

The expansion of homogeneous landscapes has been a major driver of biodiversity loss, climate change and land degradation. There is an urgent need for a transition to multifunctional landscapes that provide abundant and nutritious food while also delivering several other contributions essential for a good quality of life. However, implementing this process, especially in large‐scale agriculture without economic subsidies, remains unclear.

We discuss guidelines for a transition to multifunctional landscapes based on science and our experience as practitioners. In this transition, practitioners manage crop fields, natural habitats and field edges.

We propose an iterative process for designing multifunctional landscapes. Initially, at a fine‐scale resolution, we identify and classify areas with low opportunity costs (e.g. low crop productivity) or a high appreciation for nature (e.g. near housing areas). These areas are categorized into either ‘wide’ patches or ‘narrow’ corridors (i.e. edges <100 m wide). Subsequently, wide patches (including those with remnants of native species regardless of size) are allocated for natural habitat restoration (covering at least 20% of the farmland), while narrow zones are designated as biological corridors (making up at least 10% of the farmland and designed to be 50–100 m wide). Also, field size and configuration are redesigned to enhance the efficiency of agricultural practices and edge density. This entails creating smaller fields with strip cropping that follows environmental heterogeneity, instead of relying on large, squared monocultures. Ultimately, this design is continually refined through engagement with stakeholders, incorporating cost–benefit analyses, as well as a process of ongoing monitoring, evaluation and mutual learning.

Synthesis and applications. We describe an iterative process by which large‐scale agriculture can support biodiversity and leverage nature's contributions to people while providing more nutritious food and stabilizing crop yields and profits. Multifunctional landscapes will be critical in achieving the targets of the Kunming‐Montreal Global Biodiversity Framework by 2030 and moving the world towards net‐zero emissions by 2050.
Epilithic biofilms provide large amounts of nitrogen to tropical mountain landscapes
Authors: Abrantes Gustavo Henrique , Gücker Björn , Chaves Ronaldo César , Boëchat Iola Gonçalves , Figueredo Cleber Cunha 
Published: October 2023

AbstractWe show that epilithic biofilms are a relevant nitrogen (N) source in a rocky mountain range in Brazil. During different seasons, we quantified nitrate, ammonium, dissolved organic N (DON) and total dissolved N (TDN) leached by a simulated short rain event. We quantified the epilithic autotrophic biomass by taxonomic groups and its correlation with leached N. We hypothesized that leached N would be correlated to heterocystous cyanobacteria biomass since they are more efficient N2 fixers. We estimated a landscape N supply of 8.5 kg.ha−1.year−1 considering the mean precipitation in the region. TDN in leachate was mainly composed of DON (83.8% ± 22%), followed by nitrate (12.1% ± 3%) and ammonium (5% ± 5%). The autotrophic epilithic community was mainly composed of non‐heterocystous (Gloeocapsopsis) and heterocystous cyanobacteria (Scytonema and Stigonema), except for a site more commonly affected by fire events that showed a dominance of Chlorophyta. Biogeochemical upscaling was facilitated by the fact that N leaching was not different among sites or related to autotrophic epilithic biomass or assemblage composition. In conclusion, the capacity of epilithic biofilms to provide N to surrounding systems is an ecosystem service that underscores the necessity to conserve them and their habitats.
Effect of public stockholding on wheat price dynamics in India: A quantile autoregression approach
Authors: Tripathi Ashutosh K. , Mishra Ashok K. 
Published: October 2023

AbstractThe study investigates the effects of public stockholding on price dynamics and volatility in the Indian wheat market. A quantile autoregression method is used as a flexible representation of price dynamics and is based on a reduced‐form methodology. The findings reveal that public stockholdings have significant price effects, but the results vary significantly in price distribution. Further, we show local dynamic stability in the price distribution for all quantiles. However, dynamic adjustments tend to be qualitatively different across stockholding regimes, suggesting that price stability becomes less pronounced when stocks are low. Given the limitation of public stockholding in smoothing price fluctuations over time and the program's high costs, our analysis highlights the need to explore other alternative mechanisms such as trade, for example, in achieving stability in food prices.
Changing economic experiences and understandings
Authors: Carrier James G. 
Published: October 2023

AbstractPolanyi, Mauss, and others describe reasons for the growing differentiation of economy from other spheres of life. This article proposes a further reason: the increasing invisibility of economic transactions in everyday life. It traces the declining visibility of economic transactions in England and North America from around 1700 to the present, as public marketplaces were displaced by growing longer‐distance trade and the growing role of intermediaries. It suggests that this declining visibility of the economic networks in which people were enmeshed encouraged the development of economic thought, ultimately including the idea of the economy as a distinct realm, which was intended to explain activities and processes that were no longer visible. That economic thought became increasingly complex and incomprehensible to ordinary people, who had to come to believe things that they did not understand.