bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dysregulated FOXO1 activity drives skeletal muscle intrinsic dysfunction in amyotrophic lateral sclerosis
Authors: Zufiría Mónica , Pikatza-Menoio Oihane , Garciandia-Arcelus Maddi , Bengoetxea Xabier , Jiménez Andrés , Elicegui Amaia , Levchuk Maria , Arnold-García Olatz , Iruzubieta Pablo , Ondaro Jon , Fernández-Pelayo Uxoa , Muñoz-Oreja Mikel , Aiastui Ana , García-Verdugo José Manuel , Herranz-Pérez Vicente , Zulaica Miren , Poza Juan José , Ruiz-Onandi Rebeca , Fernández-Torrón Roberto , Espinal Juan Bautista , Bonilla Mario , Lersundi Ana , Fernández-Eulate Gorka , Riancho Javier , Vallejo-Illarramendi Ainara , Holt Ian James , Sáenz Amets , Malfatti Edoardo , Duguez Stéphanie , Blázquez Lorea , de Munain Adolfo López , Gerenu Gorka , Gil-Bea Francisco , Alonso-Martín Sonia 
Published: July 2024

ABSTRACTAmyotrophic Lateral Sclerosis (ALS) is a multisystemic neurodegenerative disorder, with accumulating evidence indicating metabolic disruptions in the skeletal muscle preceding disease symptoms, rather than them manifesting as a secondary consequence of motor neuron (MN) degeneration. Hence, energy homeostasis is deeply implicated in the complex physiopathology of ALS and skeletal muscle has emerged as a key therapeutic target. Here, we describe intrinsic abnormalities in ALS skeletal muscle, both in patient-derived muscle cells and in muscle cell lines with genetic knockdown of genes related to familial ALS, such asTARDBP(TDP-43) andFUS. We found a functional impairment of myogenesis that parallels defects of glucose oxidation in ALS muscle cells. We identified FOXO1 transcription factor as a key mediator of these metabolic and functional features in ALS muscle, via gene expression profiling and biochemical surveys in TDP-43 and FUS silenced muscle progenitors. Strikingly, inhibition of FOXO1 mitigated the impaired myogenesis in both the genetically modified and the primary ALS myoblasts. In addition, specificin vivoconditional knockdown of TDP-43 or FUS orthologs (TBPHorcaz) inDrosophilamuscle precursor cells resulted in decreased innervation and profound dysfunction of motor nerve terminals and neuromuscular synapses, accompanied by motor abnormalities and reduced lifespan. Remarkably, these phenotypes were partially corrected byfoxoinhibition, bolstering the potential pharmacological management of muscle intrinsic abnormalities associated with ALS. The findings demonstrate an intrinsic muscle dysfunction in ALS, which can be modulated by targeting FOXO factors, paving the way for novel therapeutic approaches that focus on the skeletal muscle as complementary target tissue.
GestaltGAN: Synthetic photorealistic portraits of individuals with rare genetic disorders
Authors: Kirchhoff Aron , Hustinx Alexander , Javanmardi Behnam , Hsieh Tzung-Chien , Brand Fabian , Moosa Shahida , Schultz Thomas , Solomon Benjamin D. , Krawitz Peter 
Published: July 2024

AbstractThe facial gestalt (overall facial morphology) is a characteristic clinical feature in many genetic disorders that is often essential for suspecting and establishing a specific diagnosis. For that reason, publishing images of individuals affected by pathogenic variants in disease-associated genes has been an important part of scientific communication. Furthermore, medical imaging data is also crucial for teaching and training artificial intelligence methods such as GestaltMatcher. However, medical data is often sparsely available and sharing patient images involves risks related to privacy and re-identification. Therefore, we explored whether generative neural networks can be used to synthesize accurate portraits for rare disorders. We modified a StyleGAN architecture and trained it to produce random condition-specific portraits for multiple disorders. We present a technique that generates a sharp and detailed average patient portrait for a given disorder. We trained our GestaltGAN on the 20 most frequent disorders from the GestaltMatcher database. We used REAL-ESRGAN to increase the resolution of portraits from the training data with low quality and colorized black-and-white images. The training data was aligned and cropped to achieve a uniform format. To augment the model’s understanding of human facial features, an unaffected class was introduced to the training data.We tested the validity of our generated portraits with 63 human experts. Our findings demonstrate the model’s proficiency in generating photorealistic portraits that capture the characteristic features of a disorder but preserve the patient’s privacy. Overall, the output from our approach holds promise for various applications, including visualizations for publications, educational materials, as well as augmenting training data for deep learning.
Childcare restrictions and gender gap in labor outcomes
Authors: Cervini-Plá María , Silva José I. 
Published: July 2024

Purpose
This study aims to contribute to the literature by examining the gender gap effects of childcare restrictions. Specifically, not using professional childcare services due to issues like access, quality or costs. Additionally, we explore the long-run consequences of extended work interruptions for childcare.

Design/methodology/approach
Using a specialized cross-sectional module from the 2018 Spanish Labor Force Survey, we estimated a set of linear regression models to capture the short and long run effects of childcare restrictions in labor market outcomes.

Findings
We identify substantial gender gaps in labor force, employment, full-time employment and hours worked among parents facing childcare constraints. In contrast, parents without such restrictions experience much lower gender gaps. The long-run analysis reveals that mainly career breaks lasting 2 years or more significantly diminish the labor supply and employment rates of mothers.

Originality/value
Our study goes beyond examining the effects of childcare restrictions on mothers’ labor market behavior and explicitly studies the gender disparities related to these restrictions. Moreover, our database includes information on work flexibility for childcare, allowing us to explore whether such flexibility can help mitigate these gender gaps. Additionally, we assess the long-term effects of work interruptions due to childcare responsibilities on women’s labor outcomes.
Influence of customer contact employees (CCEs) competencies on their service recovery performance: a moderated-mediation approach
Authors: Kumar Amit , Kaur Anupriya 
Published: July 2024

Purpose
This study aims to explore the influence of customer contact employees (CCEs) competencies (social, emotional and professional) on their service recovery performance (SRP) with mediation effect of internal marketing and moderation effect of industry/sector.

Design/methodology/approach
This study used survey-based dyads of 210 CCEs and their managers/supervisors in three service sectors (hotel and hospitality, automobile service centers and organized retail stores). Repeated-measures analysis of variance, confirmatory factor analysis and PROCESS macro of Hayes (2013) was used to assess reliability, validity and to test mediation, moderation and moderated-mediation.

Findings
CCEs competencies influenced SRP. The relationship between CCEs competencies and SRP was mediated by internal marketing. The industry/sector was found to be a significant moderator between the internal marketing and SRP. Additionally, a significant moderated-mediation effect was found between CCEs competencies and SRP.

Research limitations/implications
Longitudinal studies could be particularly helpful to evaluate the impact of internal marketing on SRP. The future researcher may benefit from replicating and extending the model in different industries or can study other factors as mediators or moderators for further contribution to the SRP literature.

Practical implications
Firms striving for consumer retention and aiming to extend their consumer life cycle can greatly benefit from the results of this study to provide effective SRP. The study also suggests that policymakers and management should adopt properly designed and well-articulated human resource management practices for excellence in SRP in their organizations.

Originality/value
To the best of the authors' knowledge, there is no study in the past which has addressed employee and organizational factors with the dyadic sample. In addition, it has used a moderated-mediation model in the context of SRP and also contributes to the extant literature by researching in a non-Western setting like India.
Exploring the quality of life of palliative care patients: empirical evidence from India
Authors: Dulari S.S. , Dhanya M. , Nair Indu 
Published: July 2024

PurposeThis research paper aims to study the achievement of the objectives set by the Government of Kerala through the Arogyakeralam Pain and Palliative Care project.Design/methodology/approachThe research paper delves into diverse facets of an individual’s well-being including medical, emotional, spiritual and social aspects, when confronted with an incurable and incapacitating disease through the intervention of the PPC project. This insightful study was conducted in the state of Kerala, India.FindingsThe analysis reveals that quality of life (QoL) is most influenced by spiritual, social and psychological factors. This paper raises pertinent questions about the effectiveness of PPC initiatives within the realm of medical care.Social implicationsThe thought, conception and preparation of the subject is on improving social health care by assessing the existing practices followed by the local governance. This, by far, would benefit millions by formulating appropriate policies for improving the QoL.Originality/valueThe Kerala model of health care has garnered global acclaim, standing shoulder to shoulder with the health systems of developed nations. Adopting “active total care” to address pain and allied indications, the Arogyakeralam palliative care program significantly enhances patients' QoL. The focus was to uplift the QoL of patients suffering from terminal illnesses post-pandemic.
The persistence of labour market states in Australia
Authors: Cai Lixin , Mavromaras Kostas 
Published: July 2024

PurposeThe study investigates persistence of individuals' labour market activity with a focus on examining whether and to what extent there is genuine state dependence in six labour market states: not-in-labour-force, unemployment, self-employment, casual employment, fixed term contracts, and ongoing employment, and how the persistence and genuine state dependence of the labour market states change with education levels.Design/methodology/approachA dynamic multinomial logit model that accounts for observed and unobserved individual heterogeneity is estimated, using the first 19 waves of the Household, Income, and Labour Dynamics in Australia Survey.FindingsWhile observed and unobserved individual heterogeneity plays an important role in the persistence of each of the labour market states examined, genuine state dependence is found to be present for all the states. It is also found that the persistence and genuine state dependence of unemployment is larger among those with a low education attainment than among those with higher education.Practical implicationsThe existence of genuine state dependence of labour market states calls for early interventions to prevent people from losing jobs.Originality/valueEarlier studies often focus on persistence of a particular labour market state such as unemployment, while this study examines the persistence simultaneously of six labour market states.
Narrative disclosure and earnings quality: what is the nexus? Evidence from emerging countries
Authors: Makhlouf Mohammed Hassan , Qatawneh Adel , Safi Walid 
Published: July 2024

PurposeNarrative disclosures offer further elucidation of a company's financial performance beyond what is presented in numerical format. This can assist stakeholders in gaining a deeper comprehension of the elements that impact reported earnings, thereby improving the quality of financial information. The current research explores the impact of narrative disclosure on the earnings quality of firms listed on the Amman Stock Exchange (ASE).Design/methodology/approachAppropriating an index to measure the narrative disclosure level in the research sample firms, the research utilizes an analysis of the textual content of nonfinancial reports and statements issued by the management of the ASE-listed nonfinancial firms between 2013 and 2022. The financial statements issued in the annual financial reports are also adopted to extract data on earnings quality and the controlling variables. The analysis of the data and attainment of the findings necessitate using the panel data.FindingsIt is indicated that narrative disclosure affects earnings quality. To be precise, the greater the narrative disclosure, the lower the absolute value of the voluntary discretionary accruals and thus the higher the quality of accounting earnings.Research limitations/implicationsThe findings contribute to new research on disclosure issues, particularly narrative disclosure, which enhances reader confidence in financial and nonfinancial reports and prevents misleading and manipulated information.Originality/valueThis research helps decision-makers understand the relationship between reports, statements and earnings quality in a firm. It's unique in exploring this relationship, especially in developing countries. The study is the first of its kind in Jordan, known for its economic stability and strategic location in the Middle East, making its findings applicable to similar environments.
Improvement of human performance in healthcare systems by taking into account physician behavior
Authors: Titah Mawloud , Hachemi Khalid 
Published: July 2024

PurposeEfficiency standards, similar to industrial measures like overall equipment effectiveness (OEE), are being used in healthcare systems more and more. Performance indicator models applied to machines assume a constant completion time. However, for human resources, the completion time of a task may vary depending on the stress experienced. This study seeks to bridge this gap by integrating the human behavior of the physician into the performance evaluation.Design/methodology/approachThe paper presents a new algorithm called PerfoBalance that is intended to distribute waiting-patient values among doctors. By maximizing each physician’s stress zones, this method helps to improve their performance as a whole. A thorough case study with medical professionals is carried out to confirm the effectiveness of the suggested methodology. The PerfoBalance algorithm is used in a variety of contexts to divide waiting-patient values among doctors and optimize stress zones.FindingsExperimental results demonstrate a significant improvement in physician efficiency when implementing the PerfoBalance algorithm. The algorithm strategically selects stress zones that contribute to higher performance rates for physicians by optimizing waiting-patient values.Originality/valueBy addressing the undervaluation of human performance difficulties in current efficiency models used in the healthcare industry, this research constitutes a significant contribution to the field. With its launch, the PerfoBalance algorithm offers a fresh viewpoint on waiting-patient value allocation and stress zone management in healthcare settings, hence representing a powerful method for increasing physician productivity.
Sharing economy from the sustainable development goals perspective: a path to global prosperity
Authors: Aref Mayada 
Published: July 2024

PurposeThe sharing economy, supported by digital platforms, efficiently matches the demand and supply of underused resources. Expanding globally and impacting different industries is offering a new path to sustainable resource consumption. The United Nations endorsed the sustainable development goals (SDGs), responding to a global call to end poverty, protect the environment and ensure that by 2030, everyone lives in peace and prosperity. Researchers have linked the sharing economy with SGDs, and extensive efforts have been exerted to quantify its impact.Design/methodology/approachDue to its evolving nature, especially in developing countries, there is a need for research to assess its promises and challenges from the SDG perspective. This research fills in this gap and contributes to the sharing economy studies by exploring its evolution within the framework of sustainable development goals, followed by an assessment of various methodologies for measuring the sharing economy and highlighting the significance of the web mining technique.FindingsThe proper implementation of this decentralized business model within a country is encouraging optimal resource use, lowering energy consumption and increasing long-term economic development. The sharing economy is a disruptive force that addresses the pillars of sustainability.Originality/valueThe research holds importance in addressing the achievement of the SDGs through the sharing economy, necessitating focus from policymakers and scholarly discourse on its merits. The transformative impact of the sharing economy poses questions about its encouragement or regulation, with the potential to disrupt established monopolies and possibly create new ones. Its successful implementation underscores the significance of effective data sharing and governance.
Unraveling the determinants of digital entrepreneurial intentions: do performance expectancy of artificial intelligence solutions matter?
Authors: Duong Cong Doanh , Le Trung Thanh , Dang Ngoc Su , Do Ngoc Diep , Vu Anh Trong 
Published: July 2024

PurposeDrawing on the Theory of Planned Behavior, this study aims to explore the role of individual digital competencies, encompassing information and data literacy, communication and collaboration, safety and security, and problem-solving, in shaping cognitive determinants and influencing digital entrepreneurial intentions as well as investigates the moderating effect of performance expectancy of AI solutions on the relationship between digital competencies, cognitive determinants, and digital entrepreneurial intention.Design/methodology/approachUsing a sample of 1326 MBA students in Vietnam with a stratified sampling approach, the second-order PLS-SEM is used to test the formulated hypotheses rigorously.FindingsThe study reveals that individual digital competencies, sculpted by information and data literacy, communication and collaboration, safety and security, and problem-solving, significantly impact cognitive determinants (attitude towards digital entrepreneurship, subjective norms, and perceived behavioral control), influencing digital entrepreneurial intentions. Performance expectancy of AI solutions also plays a crucial moderating role, enhancing the relationship between digital competencies and digital entrepreneurial intention.Research limitations/implicationsSome practical implications have been recommended for policymakers, educators, and entrepreneurs.Originality/valueThis research provides original empirical findings, validating the impact of a varied array of digital competencies on entrepreneurial mindsets/cognition and intentions. The introduction of performance expectancy of AI solutions as a moderator introduces a nuanced dimension to comprehending the interaction between technological skills and entrepreneurial intentions.
Interplay of paradoxical virtual leadership and psychological contract violation – impact on organizational citizenship behavior
Authors: Joshy Lishin M. , Mohandas Nimmi P. , Verma Govind Gopi 
Published: July 2024

PurposeThe daunting task of managing knowledge workers virtually has not always yielded positive results. This empirical work discusses the impact of Virtual Leadership on Organizational Citizenship Behavior. The study investigated how Psychological Contract Violation moderates the relationship between Virtual Leadership and Organizational Citizenship Behavior.Design/methodology/approachData was collected from 392 IT engineers working in software companies in India. The cross-sectional data was analyzed using Warp-PLS software, IBM SPSS and IBM Amos.FindingsThe results support the proposition that virtual leadership is negatively associated with Organizational citizenship behavior, at sub-dimension levels except obedience. The moderating role of psychological contract violation is also established by the results.Practical implicationsVirtual leaders should demonstrate collaborative behaviors to generate organizational citizenship behavior among team members. Leaders should be imparted training to enable them to adapt themselves to virtual environment. This study highlights the paradoxical nature of virtual leadership and opens the possibilities for future research.Originality/valueThe study is one of the first to report a negative association between Virtual leadership and Organization citizenship behavior. There is uniqueness in the use of the “Contingency theory of leadership” to explain the difficulties faced while managing a virtual team.
Navigating the environmental impact of geopolitical risk and economic policy uncertainty: Evidence from load capacity curve hypothesis in BRICST economies
Authors: Khan Khatib Ahmad , Cong Phan The , Abbas Ali , Ahmad Paiman , Quynh Nguyen Ngoc , Nguyen Minh‐Quang , Anwar Ahsan 
Published: July 2024

AbstractGlobal warming, climate disruptions, and environmental challenges are significant concerns in the present era, placing socioeconomic burdens on nations globally as humanity progresses at an unprecedented pace. In this framework, the load capacity factor (LCF) has evolved to demonstrate the environment‐damaging behavior of the population and nature's reaction to such damage. Thus, improving LCF by economies has become crucial for attaining the sustainable development goals (SDGs). In doing so, the current study scrutinizes the influence of geopolitical risk (GPR), economic policy uncertainty (EPU), economic growth (EG), renewable energy consumption (REC), natural resource rent (NRR), and financial development (FD) on LCF in BRICST economies during 1990–2020. We use the panel quantile regression (PQR) technique for empirical outcomes. The PQR technique can capture the heterogeneous role of explanatory factors. The empirical results of the PQR method validate the U‐shaped LCC hypothesis through the non‐linear evaluation of EG and LCF. Furthermore, results reveal that GPR, EPU, and FD adversely affect environmental quality. However, REC and NRR's supportive role in improving LCF is found. Keeping in view these empirical results, the study suggests an extensive policy framework for attaining the objectives of SDG 13 (climate change), SDG 08 (decent work and economic growth ), SDG 16 (peace for sustainable development), SDG 12 (responsible consumption and production), and SDG 07 (clean energy) in BRICST economies.