bluuebunny/crossref_metadata_2025 huggingface dataset:
Consumer wellbeing through fitness apps: a psychological ownership perspective
Authors: Gupta Shelleka
Published: February 2025

Purpose

This study aims to undertake an examination of the determinants of psychological ownership (PO) in case of fitness apps and also attempt to understand the relationship between PO and consumer wellbeing (CWB). This relationship is also explored to understand the role of personal innovativeness (PI) and health consciousness (HC) as moderators.

Design/methodology/approach

The present study uses the PO theory as the base model for the study. The data was collected through face to face survey method and a total of 315 valid responses were received in a period of five months. All the hypothesized relationships were tested by using partial least square structural equation modeling.

Findings

This study confirms the significant relationship between PO and CWB. Control, investment of self and intimate knowledge of fitness apps are the significant factors that lead to the PO of these apps. The findings put forth HC as a significant and PI as an insignificant moderator.

Practical implications

This study gives important inputs to app developers for increasing the PO toward these fitness apps. The PO has a proven record for delivering positive behavioral outcomes for marketers but can also act as igniter to boost CWB. The findings suggest that marketers should target users with high HC who can turn out to be role models and significantly influence people around them.

Originality/value

This study is one of the few studies to examine the fitness apps by using the PO perspective. Further, this study demonstrates the role of PO in generating CWB and thus contributes to the knowledge of fitness app research by filling the gap in post-adoption studies of these apps.
Advancing information search through GenAI: the roles of search type, travel motive and GenAI customization level
Authors: Luo Xiaoyan , Xu Ding , Li Yuan (William) , Wan Lisa C.
Published: February 2025

Purpose

The advancements in generative artificial intelligence (GenAI) encourage disruptive transformation in the hospitality industry. Previous discussions predominantly focused on the impact of AI-powered agents on the labor force. This research extends previous studies by investigating the feasibility of GenAI as an information search agent in comparison to the predominant role of search engines.

Design/methodology/approach

Based on the Tourist Online Information Search Behavior framework, the authors proposed that consumers’ GenAI adoption may vary upon search purpose (search type), individual differences (travel motive) and situational differences (GenAI task-oriented customization level). Four studies with a total number of 813 participants were conducted.

Findings

Taking GenAI over traditional search engines for pre-trip information search significantly increased with a non-decision-based (vs decision-based) purpose. To enhance the adoption of GenAI in its less effective but more important decision-based situations, the authors proposed and confirmed the incremental effect of utilitarian travel motives and task-oriented customization levels.

Practical implications

This study highlights GenAI’s potential as an information communication technology (ICT). This encourages tourism and hospitality businesses to consider integrating GenAI to strengthen ICT services. Moreover, search type, travel motive and task-oriented customization level are important in deploying GenAI for ICT improvement.

Originality/value

This study deepens the understanding of GenAI adoption in the tourism and hospitality sector by elaborating on the GenAI-as-ICT perspective and offers fresh insights into AI for pre-trip or pre-consumption information search.
Effect of top management knowledge value, knowledge-oriented culture and rewards on innovation performance and quality: the bridging contribution of knowledge-sharing process
Authors: Abdelwahed Nadia A. Abdelmegeed , Bano Safia , Al Doghan Mohammed A. , Soomro Bahadur Ali
Published: February 2025

Purpose

Currently, innovation performance (IP) and innovation quality (IQ) are essential intertwined constructs that help small- and medium-sized enterprises (SMEs) thrive in a competitive business environment and achieve long-term success and sustainability. This paper aims to examine the effect of top management knowledge values (TMKVs), knowledge-oriented culture (KOC) and rewards on IP and IQ through knowledge sharing.

Design/methodology/approach

The authors used a deductive cross-sectional data approach and a standardized questionnaire adopted from the literature to obtain responses from the employees of Egyptian manufacturing SMEs. The authors based this study’s findings on 316 usable samples by applying the purposive sampling technique.

Findings

Using structural equation modeling (SEM) with path analysis using SmartPLS4, the findings of this study demonstrate that TMKV positively affects IP but not IQ. On the one hand, the KOC and knowledge-sharing process (KSP) are positive enablers of IP and IQ. On the other hand, knowledge-based reward (KBR) has an insignificant effect on IP and IQ. Moreover, while KSP mediates TMKV’s and KOC’s connections with IP and IQ, it does not mediate KBR’s relationship with IP and IQ.

Practical implications

This study’s findings will help policymakers and planners create strategies through knowledge management to improve employees’ vision, commitment and dedication, culminating in a favourable impact on IP and IQ. These findings highlight the need to foster a knowledge-based culture that promotes communication networks, establishes trust and enables individuals to make decisions to enhance organizational success, IP and IQ.

Originality/value

In the case of a developing country, this study helps to fill the gaps by offering an integrated framework that simultaneously explores knowledge management enablers, IP and IQ.
Mediating role of eWOM’s in green behavior interaction and corporate social responsibility: a stakeholder theory perspective
Authors: Saqib Zulkaif Ahmed , Ikram Muhammad , Qin Luo
Published: February 2025

Purpose

This research aims to explore how policymakers manage the information and communication of green behavior on social platforms to support their growth in corporate social responsibility (CSR). Social platforms play a strategic and interactive role through electronic word-of-mouth (eWOM), which brings unprecedented green purchase opportunities.

Design/methodology/approach

Based on stakeholder theory, a conceptual framework is designed to investigate the influence of green behavior interactions (GBIs) on CSR under the mediating effects of eWOM subfactors (eWC = eWOM communication, eWIA = eWOM information adoption and eWSC = eWOM source credibility). Data from 414 regular stakeholders of logistics firms were analyzed via structural equation modeling.

Findings

The results reveal positive influences of the GBI on eWC, eWIA, eWSC and CSR, with path coefficients of 0.329, 0.713, 0.809 and 0.316, respectively. The mediating effects of eWC and eWSC from the GBI to CSR were discovered with path coefficients of 0.105 and 0.226, respectively. Coincidentally, the mediating role of eWIA was positive but not supported. The outcomes of this study indicate that the administration of GBI and eWOM from a green purchase perspective is essential for a firm. The CSR practices of green logistics firms can be successfully supported by the administration of the GBI and eWOM indicators.

Originality/value

This study develops a novel multidimensional framework that illustrates the impact of eWOM on reducing information asymmetry, enhancing credibility, supporting informed decision-making and improving green consumer behavior. By amplifying positive reviews, increasing engagement and establishing a feedback loop, this framework aims to provide comprehensive insights into the efficacy of eWOM for firms’ products and services.
Ensuring force sensing reliability for robot variable stiffness actuator by elastic deflection estimation
Authors: Xu Yapeng , Xin Tongshuai , Guo Kai , Ma Jun , Cao Yang , Li Xiaoke
Published: February 2025

Purpose

This study aims to improve the force sensing performance of the robot joint for the safety and flexibility of physical human–robot interaction.

Design/methodology/approach

A force sensing mechanism (FSM) for an S-shaped spring of a robot variable stiffness actuator (VSA) was designed. The yield strength of the spring material, geometric and assembly structure constraints of the VSA are all considered for the actuator deflection limit design. The elastic deformation model is solved in reverse to obtain the local deformation limit profile of the S-spring at different spring angles. The deformation limit mechanism is manufactured by three-dimensional printing and assembled with S-springs. The force sensing function for the VSA is achieved by the input and output shaft encoders and stiffness model. The FSM is verified by torque-deflection experiments with variable stiffness.

Findings

The yield strength of the S-spring material is the strictest constraint for elastic deformation. Experimental results show that the external force can be quickly and reliably perceived. As the spring angle increases (stiffness increases), the hysteresis and nonlinear error decrease. Under the constraint of the FSM, the maximum deflection also decreases rapidly.

Originality/value

The designed FSM based on the deformation and stiffness model provides a comprehensive design reference in a VSA with nonlinear elastic mechanisms, which is ignored but important for exploring the VSAs potential.
Impact of environmental quality, renewable and non-renewable energy and governance quality on sustainable development: evidence from emerging economies
Authors: Mahmoodi Majid , Dahmardeh Ghaleno Nazar
Published: February 2025

Purpose

The present study aims to examine the influence of environmental quality, renewable energy, non-renewable energy and quality of governance on sustainable development in two panels of 23 Asian and 8 European emerging countries during the 1996–2022 period.

Design/methodology/approach

The present study employed second-generation methods of panel data analysis, which account for cross-sectional dependency and heterogeneity to achieve a more reliable conclusion.

Findings

The augmented mean group and common correlated effects mean group estimation findings exhibit the negative influence of environmental degradation and non-renewable energy on sustainable development, whereas the findings exhibit the positive effect of renewable energy and governance quality on sustainable development.

Practical implications

The findings point out to policymakers and governments the importance of the adoption and implementation of policies to protect the environment, as well as promoting renewable energy incentive policies. Moreover, enhancing governance quality and striving towards good governance is essential for the successful adoption and implementation of energy and environment policies, as well as achieving sustainable development goals.

Originality/value

The present research contributes to the existing related literature in several ways. Adjusted net saving (ANS) is employed as a comprehensive indicator of sustainable development and ecological footprint (EFP) is employed as an exhaustive indicator of the environment’s quality rather than carbon dioxide emissions. In overall, this study is the first, to the best of our awareness, to simultaneously consider ANS, EFP and governance quality for examining the relationship among energy, environmental quality and sustainable development, especially in Asian and European emerging economies.
Early stage cost prediction model for Indian building construction projects using artificial neural networks
Authors: Padala S.P. Sreenivas , Goyal Anshul
Published: February 2025

Purpose

This paper aims to enhance early-stage cost estimation in construction projects, a critical factor in project feasibility, funding, resource allocation and scheduling. Traditional cost estimation approaches suffer from limitations such as the absence of structured methodologies, assumptions of linear cost relationships, prolonged processes and expert judgment variations. To address these challenges, this study proposes a reliable cost prediction model based on artificial neural networks (ANNs) for building construction projects in India.

Design/methodology/approach

To develop cost prediction model, this study collected data from 377 building construction projects in India, encompassing 17 essential cost parameters. The methodology involves data preprocessing, constructing features and fine-tuning ANN hyperparameters meticulously to achieve optimal performance.

Findings

The research showcases effectiveness of cost prediction model, evident in significantly reduced mean square error values. ANN-based prediction model excels in handling nonlinear cost dependencies and diverse project complexities, making it a valuable tool for early-stage cost estimation.

Research limitations/implications

ANN-based cost prediction model is primarily designed for predicting costs associated with structural works of building projects.

Practical implications

The proposed solution offers stakeholders a robust data-driven decision-making tool during initial phases of construction projects. This can lead to more successful and economically viable outcomes.

Originality/value

This research examines the drawbacks of traditional cost estimation methods by presenting a data-driven approach leveraging machine learning. It significantly improves precision of early cost forecasts in construction projects while offering practical value to industry.
Practice Briefing: The inception and preliminary performance analysis of REITs in the Kingdom of Saudi Arabia
Authors: Marzuki Muhammad Jufri , Newell Graeme
Published: February 2025

Purpose

The Saudi REIT market’s introduction in 2016 was part of the Kingdom of Saudi Arabia’s Vision 2030 master plan to diversify the country's sources of revenue and reform its financial sector. Despite the Saudi REIT market’s nascent state, it has experienced significant growth in a short period of time, being the largest REIT market in MENA. Saudi REITs are designed using well-established global REIT standards to facilitate efficient capital influx into commercial property investment opportunities in Saudi Arabia. The core aim of this paper is to highlight the development of Saudi REITs and empirically assess their performance over the period from December 2018 to December 2023.

Design/methodology/approach

Using monthly total returns in local currency (SAR), the risk-adjusted performance and portfolio diversification attributes of Saudi REITs are assessed. A series of optimal portfolios are constructed to identify the potential added-value role of Saudi REITs in a multi-asset framework.

Findings

Whilst Saudi REITs’ average annual return performance is lower than that of stocks, their annual returns are delivered with less volatility, thus giving a competitive overall risk-adjusted performance against other asset classes. This is a testament to Saudi REITs’ higher income return performance due to the fiscal-efficient framework. Further, when Saudi REITs are introduced in a stocks-bonds portfolio, they are able to improve the portfolio’s overall return whilst reducing the volatility, with their allocation in the asset mix observed to effectively scale throughout the portfolio risk-return spectrum.

Practical implications

Saudi REITs are an emerging investment opportunity for investors seeking exposure in a relatively stable and fast-growing MENA property market. As Saudi Arabia makes continuous reforms to improve the accessibility and transparency of its commercial property market, Saudi REITs are the most effective way to date for domestic and overseas investors to obtain exposure to the Kingdom’s property investment opportunities. Importantly, the encouraging preliminary results as identified in this paper provide valuable insight into the potential trajectory of Saudi REITs, given their significant contributing role to achieve the strategic objectives of Vision 2030.

Originality/value

This paper is the first empirical investigation that provides a preliminary performance validation of Saudi REITs as a listed pathway to commercial property exposure in Saudi Arabia. This study provides empirical evidence that enables more informed and practical decision-making in property investment, particularly in understanding the strategic importance of Saudi REITs within an investment portfolio.
Bibliometric analysis of artificial intelligence in high-to-room temperature superconductors: insights from the Scopus database
Authors: Pramono Andika Widya , Nurhakim Arif
Published: February 2025

Purpose

This bibliometric analysis aims to comprehensively explore the intersection of artificial intelligence (AI) and high-to-room-temperature superconductors. Focusing on scientific literature, the study investigates trends, collaboration patterns and impactful publications in this interdisciplinary field.

Design/methodology/approach

The research employs an advanced search query in the Scopus database, targeting articles on the development of superconductors using artificial intelligence. Data collection involves executing the query, saving the results as a CSV file and analyzing it using R-Studio and VOSviewer. Statistical tools, T-tests, regression analysis and Python coding are utilized to enhance the depth of analysis.

Findings

The analysis spans various dimensions, including the overview of bibliometric characteristics, annual scientific production, average citations per year, sources of publications and source production over time. Noteworthy findings include a sustained growth in annual scientific production, a peak in average citations in specific years and the identification of influential journals shaping the field.

Research limitations/implications

While the analysis provides valuable insights, limitations include the potential influence of research biases and the exclusion of non-English articles. Further exploration is encouraged to address these limitations and gain a more nuanced understanding of the field.

Practical implications

Practically, this study aids researchers, practitioners and stakeholders in staying informed, identifying collaboration opportunities and contributing meaningfully to the ongoing growth and impact of high-to-room-temperature superconductors using artificial intelligence.

Social implications

Socially, the study underscores the collaborative and global nature of research in this field, emphasizing the shared endeavor worldwide to advance the understanding and application of superconductors through artificial intelligence.

Originality/value

This research contributes to the originality of the scientific landscape by offering a comprehensive analysis of the development of high-to-room-temperature superconductors with artificial intelligence. The utilization of advanced bibliometric techniques and the identification of key trends and sources enhance the understanding of this emerging and interdisciplinary research domain.
How thermal hotels can leverage sustainability for competitive advantage
Authors: Baydeni̇z Erdem , Altin Mehmet
Published: February 2025

Purpose

This study examines the interplay between corporate social responsibility (CSR), green marketing orientation (GMO), competitive advantage and environmental performance at Afyonkarahisar Green Thermal Hotels, a prominent thermal tourism destination in Türkiye.

Design/methodology/approach

A representative sample of 390 employees from different green thermal hotels was selected. Partial least squares structural equation modeling structural equation modeling was used to test the research hypotheses.

Findings

CSR positively affects different dimensions of GMOs, which supports its role in shaping eco-centered marketing strategies at different operational levels. The influence of strategic and tactical GMOs on competitive advantage was verified, with strategic GMOs having a more significant impact. Nonetheless, internal GMOs do not significantly affect competitive advantage. Competitive advantages strongly affect environmental performance.

Practical implications

Aligning CSR initiatives with aspects related to GMOs can enhance environmental performance and offer a competitive advantage. Allocating resources based on the impacts of GMOs can aid strategic decision-making. Embedding sustainability as a competitive edge and establishing alliances with similar-minded stakeholders strengthen CSR efforts, improving the market position. The comprehensive framework and insights of this work contribute to the evolving landscape of CSR.

Originality/value

This study is valuable for its original contribution to research on green thermal hotels. It is the first study to provide a comprehensive framework that analyzes the relationships between CSR, GMOs at various levels, competitive advantage and environmental performance. It provides practical guidance to effectively integrate green marketing, address a research gap and promote transformative business approaches for sustainability and competitiveness in the field.
Beyond organizational limits: uncovering the effect of capitalism on environmental disclosure practices
Authors: Pinheiro Alan Bandeira , Oliveira Marcelle Colares , Lozano Maria Belen
Published: February 2025

Purpose

This study aims to examine the effect of the characteristics of capitalism on environmental disclosure.

Design/methodology/approach

Over a 10-year period (2009–2018), the study examined the environmental disclosure of 3,253 companies located in 16 countries. Environmental disclosure was the dependent variable and the independent variables were economic freedom index, foreign direct investment, availability of specialized training services, corruption perception index and protection of property rights. The hypotheses were tested using panel data regression with fixed effects.

Findings

The findings showed that in countries with greater economic freedom, less availability of specialized services and less corruption, companies disclose more environmental information. The authors find evidence that confirms the main thesis of the varieties of capitalism approach: the behavior of firms is shaped by the relations between the state and society.

Practical implications

Managers should pay greater attention to the country’s institutional issues before installing or relocating their industries, as certain national institutions support the development of valuable capacities at the company-level, such as environmental disclosure.

Originality/value

This study reinforces the understanding of how national institutions can influence environmental disclosure practices, adopting new variables to represent the characteristics of capitalism. Although many previous studies have analyzed the effect of the institutional environment on environmental disclosure, it is still unclear how companies engage with environmental issues in different capitalist contexts.
Mental health staff’s experiences of implementing trauma-informed care in the NHS
Authors: Worawichayawongsa Pattaramon , Ollis Stephen , Kyriakopoulos Alex
Published: February 2025

Purpose

The NHS long-term plan outlined that mental health services in the UK will be based on the trauma-informed approach in the next 10 years. Staff in leadership roles in those services will face a responsibility to lead the implementation of TIC; however, little is known about the experiences of these staff attempting to create change. Therefore, this study aims to gain an understanding of mental health staff (MHS)’s experiences in implementing trauma-informed care (TIC) in the NHS.

Design/methodology/approach

In total, 14 mental health staff (MHS), comprising ten psychologists and four multidisciplinary clinicians, were recruited through purposive and snowball sampling. Semi-structured individual interviews were conducted via Microsoft Teams to provide qualitative data. Interviews were transcribed verbatim and analysed using Braun and Clarke’s (2006) reflexive thematic analysis.

Findings

Five themes were found: 1) having a visionary outlook and high expectations for change, 2) professional growth and personal development, 3) affirmation of the role’s importance and impact, 4) psychological discomfort and 5) ways of coping. Participants strongly believed that TIC should be standard practice for all health-care staff, noting that implementing TIC led to their professional and personal growth. While they found satisfaction in influencing others to value TIC, they experienced negative emotions when their efforts were unsuccessful and used various strategies to overcome barriers and manage psychological discomfort.

Originality/value

To the best of the authors’ knowledge, this study is the first to explore the experiences of MHS implementing TIC in the NHS. Support recommendations for staff in the role are made and future research is identified.
Exploring social media users’ disclosures of negative information during the COVID-19 infodemic: the moderating role of personality traits
Authors: Zhao Laijun , Su Xiaoxia , Zhou Lixin , Li Huiyong , Yang Pingle , Qian Ying
Published: February 2025

Purpose

During the COVID-19 pandemic, an infodemic erupted on social media, leading to a surge in negative disclosure behaviors such as expressing dissatisfaction and releasing negative emotions. By extending the elaboration likelihood model and the Big Five personality theory to the domain of online self-disclosure, we aimed to identify the factors that influence negative disclosure behavior.

Design/methodology/approach

We investigated how the features of negative information content, information sources and recipients’ social perceptions influence how social media users disclose negative information. We also examined the moderating roles of personality traits in this process. To validate the model and test our hypotheses, we collected cross-sectional data from 456 social media users.

Findings

Empirical results reveal that (1) information overload, topic relevance, attractiveness of information sources, peer approval of negative disclosure and social influence on negative information strengthen the intention to disclose negative information. (2) The perception of social risk weakens the intention to disclose negative information. (3) Openness to experience, extraversion and neuroticism strengthen the relationship between the intention to disclose negative information and actual disclosure behavior.

Originality/value

Our results not only provide new perspectives on the decision-making mechanisms behind negative disclosure behavior but also extend personality research within the context of the dissemination of negative information. Furthermore, it offers insights into negative information dissemination on social media platforms, with significant implications for various stakeholders.
An era of pivoting: a collaborative retrospective analysis (CRA) on conducting qualitative research amidst the dueling pandemics
Authors: Lent Sarah D. , Gandy-Fastovich Lydia
Published: February 2025

Purpose

The COVID-19 global health pandemic brought much of qualitative research to a halt causing researchers to pivot from initial research plans and reimagine the possibilities of their scholarship. Accordingly, we sought to understand how the abrupt pivot to virtual methodologies could influence qualitative research in this context and future contexts.

Design/methodology/approach

To explore how two concurrent studies were impacted, we conducted a Collaborative Retrospective Analysis (CRA). We share results from a secondary analysis of two individual studies conducted concurrently by the authors.

Findings

The paper puts forth lessons learned concerning redesigning qualitative studies, engagement with vulnerable populations and application for ethical considerations.

Originality/value

We advance qualitative research methods by conducting a CRA of two concurrent, but separate studies. We put forth implications for designing qualitative studies in a re-envisioned and increasingly hybrid world and we share collaborative practices gleaned throughout the research process.
Family aggression and domestic abuse cause psychotic trauma to female students: insights from Pakistani schools and community
Authors: Asad Muhammad Mujtaba , Ka Ka Summaya , Ejaz Asad Omaisa
Published: February 2025

Purpose

The purpose of this study to explore the teacher’s perception about family aggression and domestic abuse that can cause students psychotic trauma. Also, this article will further highlight the mitigating strategies for teachers to overcome those challenges which they faced while dealing with such female students.

Design/methodology/approach

In this exploratory study, a qualitative data collection tool semi-structured interviews were used. This research interviews were conducted from public school teachers of Pakistan. For data analysis thematic analysis approach was used to answer the targeted research questions.

Findings

The findings of the study reveal that the family aggression and domestic abuse have severe negative effect on female students’ mental health which cause them trauma and also negatively impact of their educational progress and overall growth. Also, several challenges have been identified from the findings such as difficulty in identification of such female students, lack of support and counselling skills and social constraints. Similarly, this study also suggests some interventional and mitigating strategies to overcome these challenges faced by teachers such as, awareness sessions for parents and society, teachers training for such skills, including such contents in curriculum etc.

Practical implications

The results of the current study are beneficial for the teacher and school administration to handle such female students they are affected due to abuse and domestic violence and improve their mental well-being and growth.

Originality/value

This is a unique study because there is very limited research done in the context of Pakistan which addresses this burning social issue, particularly adding the voices of teacher’s about identifying and dealing such female students they are victim of family aggression and domestic abuse.
How does climate change affect productivity in tourism? A spatial analysis based on Chinese cities
Authors: Liu Huifang , Chen Weidong , Yuan Pengwei , Dong Xiaoqing
Published: February 2025

Purpose

This study aims to examine the impact of climate change on the total factor productivity (TFP) of tourism in Chinese cities. Using temperature and precipitation as proxies for climate change, the research analyzes both the direct negative effects of climate change on tourism productivity and the positive spillover effects on neighboring cities. In addition, it investigates how geographic location and economic development contribute to the variation in these effects. The study also explores the mechanisms through which government intervention and industrial structure upgrading influence these impacts.

Design/methodology/approach

This study uses a spatial Durbin model to analyze the relationship between climate change and tourism TFP in 287 Chinese cities from 2000 to 2020. Panel data is used, with temperature and precipitation serving as proxies for climate change. The model evaluates both the direct and spillover effects of climate change on tourism productivity, while also analyzing the mechanisms through which government intervention and industrial upgrading affect these relationships. The study further considers how geographic location and economic development impact the results.

Findings

This study finds that climate change directly reduces tourism TFP, while generating positive spillover effects for neighboring cities. Cities in the eastern and more economically developed regions are more sensitive to climate change, experiencing stronger impacts compared to cities in central and western regions. The findings suggest that government intervention and industrial structure upgrading are important mechanisms through which climate change affects tourism productivity in Chinese cities.

Originality/value

This research fills a gap in the literature regarding how climate change affects tourism productivity in developing countries, particularly in China. By applying a spatial Durbin model and panel data analysis, the study provides empirical evidence on both the direct and spillover effects of climate change on tourism productivity. It highlights the critical role of government intervention and industrial upgrading as mechanisms shaping the impact of climate change, offering new insights for policymakers and tourism businesses to address the challenges posed by climate change and enhance productivity and competitiveness.
Genus Alternans in the Early History of Ibero‐Romance: Textual Evidence from Early Medieval Iberian Peninsula
Authors: Wang Ziwen
Published: February 2025

This study revisits the diachrony of the Latin neuter gender in early Ibero‐Romance. The fate of the Latin neuter is counted among the most long‐standing and yet the most controversial questions in Romance historical morphosyntax. While there has been a long‐held belief that neuter nouns merged into the masculine gender in late Latin after adopting masculine plural endings, recent typological surveys on gender across Romance have shown that neuter inflexion persisted into the older stages of eastern Romance and ultimately gave rise to the so‐called genus alternans (e.g. Rom. m.sg. creion‐ul/f.pl. creioane‐le ‘the pencil/pencils’). Although the scope of inquiry devoted to the genus alternans has broadened significantly in the past decade for Daco‐Romance and Italo‐Romance, Ibero‐Romance has mostly remained off‐stage for want of supporting evidence. The aim of this study is to provide diachronic evidence for the survival of neuter inflexion and the subsequent rise of the genus alternans in early Ibero‐Romance. Via a meticulous analysis of early medieval Iberian texts, I will argue that the genus alternans remained part of the early Ibero‐Romance nominal inflexion until well into the eleventh century, as occurred as well in early Gallo‐Romance and Italo‐Romance.
Bringing Endometriosis to the Road of Contemporary Pain Science
Authors: Moreira Marcelo de França , Oliveira Marco Aurelio Pinho
Published: February 2025

Background

Endometriosis pain is mainly understood based on peripheral lesion characteristics and an outdated perspective equating nociception with pain. This limited view may divert understanding of interventions beyond peripheral logic, leading clinicians to see approaches targeting other processes as supplementary, limiting the effective addressing of treatment failure. Integrating critical advancements in pain and endometriosis can promote more comprehensive knowledge.

Objectives

This article provides a conceptual framework focusing on overlooked or less clearly linked areas concerning the interplay between nociception and factors influencing endometriosis pain. It explores the complexity of nociceptive processing, the association between neuromerically connected structures, and the role of the brain in pain perception. Further, it emphasizes adopting mechanism‐based understanding of pain that integrates neurobiological aspects of the nociceptive apparatus and related systems, shaped by psychosocial factors contributing to a possible negative spiral in those living with endometriosis.

Conclusion

Aware of such a broader perspective can incentivize a balanced effort to inquire into peripheral lesion‐related mechanisms and other domains potentially impacting endometriosis pain.
Lower time‐averaged serum uric acid was associated with increased mortality in peritoneal dialysis patients
Authors: Li Lu , Zhang Hongxia , Zhang Botao , Yang Fangyuan , Wang Mengting , Qiu Wenlong , Fu Lina , Chen Menghua , Tian Na
Published: February 2025

Background

The relationship between time‐averaged serum uric acid (TA‐SUA) levels and prognosis in peritoneal dialysis (PD) patients are rarely discussed.

Methods

This was a retrospective cohort study. PD patients recruited from January 1, 2011, to December 31, 2020, were included. Baseline and follow‐up uric acid levels over 1 year were collected to calculate time‐averaged serum uric acid (TA‐SUA) levels. Patients were divided into four groups based on TA‐SUA quartiles: Q1 (<5.1 mg/dl), Q2 (5.1–5.8 mg/dl), Q3 (5.8–6.8 mg/dl), and Q4 (>6.8 mg/dl).

Results

A total 487 PD patients with a mean age of 52.0 ± 14.2 were enrolled, including114 (23.4%) diabetes. Q1 (n = 121, 24.8%), Q2 (n = 118, 24.2%), Q3 (n = 125, 25.7%), and Q4 (n = 123, 25.3%). The Q1 group exhibited characteristics of increased age, malnutrition, and a higher prevalence of diabetes. During the 48.1 months follow‐up time, 197 (35.8%) died, 109 (55.3%) cardiovascular disease (CVD), 38 (19.3%) infections. Kaplan–Meier analysis revealed that both all‐cause mortality and cardiovascular mortality were significantly higher in the Q1 and Q4 groups (log‐rank = 24.373, p < 0.001). COX regression analysis showed that decreased TA‐SUA level was an independent risk factor for all‐cause mortality in PD patients after adjustment for confounding factors. Each 1 mg/dl decrease in TA‐SUA level was associated with a 23.46% increase in all‐cause mortality (HR = 0.81, 95% CI, 0.71–0.94; p = 0.004*). Lower serum albumin level was associated with increased all‐cause mortality.

Conclusion

PD patients with lower TA‐SUA were older and had a higher proportion of diabetes and malnourishment than those with higher TA‐SUA. Long‐term exposure to low TA‐SUA levels was an independent predictor of all‐cause and cardiovascular mortality in PD patients.
Artificial intelligence–based clinical decision support in the emergency department: A scoping review
Authors: Kareemi Hashim , Yadav Krishan , Price Courtney , Bobrovitz Niklas , Meehan Andrew , Li Henry , Goel Gautam , Masood Sameer , Grant Lars , Ben‐Yakov Maxim , Michalowski Wojtek , Vaillancourt Christian
Published: February 2025

Objective

Artificial intelligence (AI)‐based clinical decision support (CDS) has the potential to augment high‐stakes clinical decisions in the emergency department (ED). However, its current usage and translation to implementation remains poorly understood. We asked: (1) What is the current landscape of AI‐CDS for individual patient care in the ED? and (2) What phases of development have AI‐CDS tools achieved?

Methods

We performed a scoping review of AI for prognostic, diagnostic, and treatment decisions regarding individual ED patient care. We searched five databases (MEDLINE, EMBASE, Cochrane Central, Scopus, Web of Science) and gray literature sources from January 1, 2010, to December 11, 2023. We adhered to guidelines from the Joanna Briggs Institute and PRISMA Extension for Scoping Reviews. We published our protocol on Open Science Framework (DOI 10.17605/OSF.IO/FDZ3Y).

Results

Of 5168 unique records identified, we selected 605 studies for inclusion. The majority (369, 61%) were published in 2021–2023. The studies ranged over a variety of clinical applications, patient populations, and AI model types. Prognostic outcomes were most commonly assessed (270, 44.6%), followed by diagnostic (193, 31.9%) and disposition (115, 19%). Most studies remained in the earliest phase of preclinical development (572, 94.5%) with few advancing to later phases (33, 5.5%).

Conclusions

By thoroughly mapping the landscape of AI‐CDS in the ED, we demonstrate a rapidly increasing volume of studies covering a breadth of clinical applications, yet few have achieved advanced phases of testing or implementation. A more granular understanding of the barriers and facilitators to implementing AI‐CDS in the ED is needed.
Are auditors insulated to positive client news? Evidence from audit fees and going‐concern opinions
Authors: Huang Ting‐Chiao , Lin Yi‐Hung , Chai Daniel , Hairston Stephanie
Published: February 2025

This paper investigates if and how auditors consider positive news, related to their clients, when making audit decisions. Using a large sample of US listed companies, we find that auditors charge lower audit fees and are less likely to issue going‐concern opinions when there are a higher number of positive news items related to their clients. Additional analyses show that the influence of positive client news on audit decisions varies with news characteristics, client size, auditor tenure, and auditor size. We also find some evidence that auditors' reactions to positive client news varies with the topic of news, and positive client news has implications for financial reporting quality and accuracy of going‐concern opinions. Collectively, these findings suggest that the media affects auditors' business risk and that auditors are not insulated to positive news.
Productivity dispersion and persistence in European agriculture
Authors: Wimmer Stefan , Finger Robert
Published: February 2025

Improving and maintaining agricultural productivity, which is pivotal to deliver private and public goods, is challenged by increasingly uncertain market and environmental conditions. Understanding differences in productivity among farms and its persistence over time helps assess the vulnerability of agricultural production to these external shocks. In this paper, we study productivity dispersion for European agriculture, assess the importance of different productivity components such as technical efficiency and environmental components, and investigate the persistence of productivity and its components over time. We measure total factor productivity based on a stochastic production frontier model applied to accountancy data from more than 100,000 farms and 26 European countries over the period 2004–2018 (N = 740,256). The results reveal a substantial dispersion in total factor productivity, even within the individual countries and farm types. Environmental factors play important roles in explaining these differences. Productivity persistence is high overall, but varies across farm types; for example, it is lowest for granivore farms and higher for mixed farms. We find that productivity persistence is slightly increasing over time, pointing toward improvements in the resilience of European farming systems during the considered period.
Making the other side mad: How out‐group distaste benefits less competent candidates
Authors: Strayhorn Joshua A.
Published: February 2025

I present a formal model of candidate evaluation in a context where voters within some group or political party learn information about to what extent various in‐group candidates (such as a slate of primary candidates) are disliked by an out‐group or opposing party. Thus, a voter's candidate evaluation is based in part on how they process information about which of their own candidates provoke particularly strong distaste from the out‐group. I show that exposure to information about out‐group distaste can cause voters to make misleading inferences about candidate characteristics, causing them to sometimes systematically prefer lower competence candidates. These effects are stronger for certain kinds of low‐information voters, and for more ideologically motivated voters. The model can thus explain under what conditions voters will support politicians who particularly aggrieve the opposition. This can also create secondary incentives for politicians to signal incompetence.
Six Injections of Modified Adjuvanted PQ Grass Is Effective and Well‐Tolerated in a Pivotal Phase III Trial
Authors: Zielen Stefan , Bernstein Jonathan A. , Sturm Gunter J. , Jutel Marek , Pfaar Oliver ,   the RESONATE Investigator Group, Shamji Mohamed H. , Mösges Ralph , Berger Markus , Berger Uwe E. , DuBuske Lawrence , Layhadi Janice A. , Klimek Ludger , Ollert Markus , Skinner Murray A. , Kramer Matthias F. , de Kam Pieter‐Jan
Published: February 2025

Background

PQ Grass 27600 SU (PQ Grass) cumulative dose is a pre‐seasonal, six‐injection, aluminium‐free, modified subcutaneous immunotherapy product under development for the treatment of allergic rhinitis (AR). A pivotal Phase III randomised double‐blind, placebo‐controlled clinical trial was performed to evaluate the efficacy and safety of PQ Grass in subjects with seasonal AR.

Methods

An adaptive group sequential trial PQGrass306 (G306) with one pre‐defined interim analysis was designed, using 2 parallel groups applying a 1:1 active versus placebo randomisation of patients aged 18–65. The primary efficacy endpoint was the EAACI (European Academy of Allergy and Clinical Immunology) Combined Symptom and Medication Score (EAACI‐CSMS0–6) averaged over the peak grass pollen season (GPS).

Results

858 subjects were screened and 555 subjects were randomised. Based on the results of the pre‐defined interim analysis, the trial was stopped for success showing superiority in favour of PQ Grass. The primary endpoint EAACI‐CSMS0–6 (peak GPS) demonstrated a highly significant and clinically meaningful point difference of PQ Grass over placebo of −0.27 points (95% CI: −0.42 to −0.12), corresponding to a relative difference of −20.3% (p = 0.0005). Highly consistent and beneficial results were obtained for PQ Grass for all key secondary endpoints. Significant induction of blocking IgG4 and IgA antibody subclasses occurred. PQ Grass was well tolerated, and no unexpected safety signals occurred.

Conclusions

This pivotal Phase III trial demonstrated a significant and clinically meaningful effect on the primary endpoint as well as highly consistent secondary endpoint results and a supportive safety profile.
Menstrual‐related symptoms as red flags for school absenteeism among Norwegian adolescents (MINA): A cross‐sectional study
Authors: Gravdahl Oline Friestad , Svenningsen Rune , Majak Peter , Majak Guri
Published: February 2025

Introduction

Severe dysmenorrhea is prevalent among adolescents, yet it remains undertreated, potentially leading to substantial absenteeism from social and academic activities. This study aimed to evaluate the prevalence of severe dysmenorrhea among Norwegian adolescents, as well as associations between severe dysmenorrhea and academic or social absenteeism. Moreover, the study sought to assess the prevalence of accompanying symptoms and their potential as red flags for absenteeism, thus providing healthcare workers a more robust tool for identifying students for intensified treatment and/or referral. Furthermore, differences in the prevalence of severe dysmenorrhea, accompanying symptoms, and absenteeism based on ethnicity and place of residence were evaluated.

Material and Methods

This cross‐sectional study utilized a digital questionnaire comprising 67 questions divided into three categories: “demographics,” “dysmenorrhea‐related complaints,” and “consequences and actions related to complaints.” Data were analyzed using Chi‐square tests and a multivariate logistic regression model.

Results

A total of 987 high school students completed the questionnaire and were included in the final analyses. Of them, 38.1% had scores of ≥8 on the Numeric Rating Scale, classified as severe dysmenorrhea. Participants with severe dysmenorrhea reported a significantly higher degree of absenteeism from both school (85.0% vs. 53.1%, p < 0.001) and social settings (84.3% vs. 53.9%, p < 0.001) than those with mild‐to‐moderate dysmenorrhea. Menorrhagia (odds ratio [OR] = 1.55, p = 0.012), dyschezia (OR = 1.63, p = 0.007), vomiting (OR = 1.97, p = 0.009), and fatigue (OR = 1.97, p = 0.026) were significant predictors of academic absenteeism in a logistic regression analysis. These can serve as relevant red flags for caretakers. Higher rates of social (74.4% vs. 57.0%, p < 0.001) and academic absenteeism (72.9% vs. 57.5%, p < 0.001) due to dysmenorrhea were observed among participants of non‐Norwegian ethnicity.

Conclusions

A high prevalence of severe dysmenorrhea and associated symptoms was observed among Norwegian adolescents, leading to a high degree of absenteeism from school and social activities. The highest prevalence of absenteeism was observed among participants of non‐Norwegian ethnicity. Symptoms accompanying severe dysmenorrhea should serve as red flags for healthcare professionals caring for adolescents.