bluuebunny/crossref_metadata_2025_split huggingface dataset:
Phase and amplitude responses for delay equations using harmonic balance
Authors: Nicks R. , Allen R. , Coombes S. 
Published: July 2024

Robust delay induced oscillations, common in nature, are often modeled by delay-differential equations (DDEs). Motivated by the success of phase-amplitude reductions for ordinary differential equations with limit cycle oscillations, there is now a growing interest in the development of analogous approaches for DDEs to understand their response to external forcing. When combined with Floquet theory, the fundamental quantities for this reduction are phase and amplitude response functions. Here, we develop a framework for their construction that utilizes the method of harmonic balance.

Published by the American Physical Society
2024
First Measurement of
νe
and
νμ
Interaction Cross Sections at the LHC with FASER’s Emulsion Detector
Authors: Abraham Roshan Mammen , Anders John , Antel Claire , Ariga Akitaka , Ariga Tomoko , Atkinson Jeremy , Bernlochner Florian U. , Boeckh Tobias , Boyd Jamie , Brenner Lydia , Burger Angela , Cadoux Franck , Cardella Roberto , Casper David W. , Cavanagh Charlotte , Chen Xin , Coccaro Andrea , Débieux Stephane , D’Onofrio Monica , Desai Ansh , Dmitrievsky Sergey , Eley Sinead , Favre Yannick , Fellers Deion , Feng Jonathan L. , Fenoglio Carlo Alberto , Ferrere Didier , Fieg Max , Filali Wissal , Fujimori Haruhi , Garabaglu Ali , Gibson Stephen , Gonzalez-Sevilla Sergio , Gornushkin Yuri , Gwilliam Carl , Hayakawa Daiki , Hsu Shih-Chieh , Hu Zhen , Iacobucci Giuseppe , Inada Tomohiro , Iodice Luca , Jakobsen Sune , Joos Hans , Kajomovitz Enrique , Kanai Takumi , Kawahara Hiroaki , Keyken Alex , Kling Felix , Köck Daniela , Kontaxakis Pantelis , Kose Umut , Kotitsa Rafaella , Kuehn Susanne , Kugathasan Thanushan , Lefebvre Helena , Levinson Lorne , Li Ke , Liu Jinfeng , Lutz Margaret S. , MacDonald Jack , Magliocca Chiara , Martinelli Fulvio , McCoy Lawson , McFayden Josh , Medina Andrea Pizarro , Milanesio Matteo , Moretti Théo , Munker Magdalena , Nakamura Mitsuhiro , Nakano Toshiyuki , Neuhaus Friedemann , Nevay Laurie , Nonaka Motoya , Okui Kazuaki , Ohashi Ken , Otono Hidetoshi , Pang Hao , Paolozzi Lorenzo , Petersen Brian , Prim Markus , Queitsch-Maitland Michaela , Rokujo Hiroki , Ruiz-Choliz Elisa , Rubbia André , Sabater-Iglesias Jorge , Sato Osamu , Scampoli Paola , Schmieden Kristof , Schott Matthias , Sfyrla Anna , Shamim Mansoora , Shively Savannah , Takubo Yosuke , Tarannum Noshin , Theiner Ondrej , Torrence Eric , Vasina Svetlana , Vormwald Benedikt , Wang Di , Wang Yuxiao , Welch Eli , Zahorec Samuel , Zambito Stefano , Zhang Shunliang ,   FASER Collaboration
Published: July 2024

The first results of the study of high-energy electron neutrino (νe) and muon neutrino (νμ) charged-current interactions in the FASERν emulsion-tungsten detector of the FASER experiment at the LHC are presented. A 128.8 kg subset of the FASERν volume was analyzed after exposure to 9.5  fb−1 of s=13.6  TeV pp data. Four (eight) νe (νμ) interaction candidate events are observed with a statistical significance of 5.2σ (5.7σ). This is the first direct observation of νe interactions at a particle collider and includes the highest-energy νe and νμ ever detected from an artificial source. The interaction cross section per nucleon σ/Eν is measured over an energy range of 560–1740 GeV (520–1760 GeV) for νe (νμ) to be (1.2−0.7+0.8)×10−38  cm2 GeV−1 [(0.5±0.2)×10−38  cm2 GeV−1], consistent with standard model predictions. These are the first measurements of neutrino interaction cross sections in those energy ranges.

Published by the American Physical Society
2024
Benchmarking executive compensations: exploring fresh perspectives on chief executive officer (CEO) compensation drivers in major US corporations
Authors: Lee Jooh , Pati Niranjan 
Published: July 2024

PurposeThis study aims to contribute to the ongoing assessment of executive compensation by investigating the nexus between managerial entrenchment factors, adopting a multifaceted perspective encompassing both economic and non-economic dimensions.Design/methodology/approachThis research employs pooled cross-sectional Ordinary Least Squares (OLS) regression and Least Squares with Dummy Variables (LSDV) models with fixed effects to examine the determinants of Chief Executive Officer (CEO) compensation.FindingsThis research identifies firm size, performance (via ROA and Tobin’s Q), and CEO characteristics (age, tenure, stock ownership, MBA degree) as significant determinants of executive compensation at the 0.05 level. In contrast, the prestige of educational institutions, doctoral degrees, and the MBA’s relevance to short-term performance, along with CEO tenure, do not significantly affect pay. Additionally, the study highlights the significance of industry type (manufacturing vs technology) in shaping compensation, emphasizing the role of firm metrics and CEO credentials in designing executive pay packages.Originality/valueThis research introduces an innovative approach to controlling unobserved heterogeneity and adjusting for the dynamic nature of CEO compensation attributes across diverse CEO characteristics. By integrating both pooled Ordinary Least Squares (OLS) and Least Squares Dummy Variable (LSDV) models, the study addresses the challenges posed by time-invariant variables and unobservable heterogeneity. Such issues have historically skewed the accuracy of traditional OLS models in identifying the comprehensive array of factors—both economic and non-economic—that influence CEO compensation. This novel methodological framework significantly advances the examination of unobservable variables that may vary not only across the firms selected for analysis but also over time periods, thereby offering a more detailed understanding of the determinants of CEO pay.
Early identification of high attention content for online mental health community users based on multi-level fusion model
Authors: Wang Song , Luo Ying , Liu Xinmin 
Published: July 2024

PurposeThe overload of user-generated content in online mental health community makes the focus and resonance tendencies of the participating groups less clear. Thus, the purpose of this paper is to build an early identification mechanism for users' high attention content to promote early intervention and effective dissemination of professional medical guidance.Design/methodology/approachWe decouple the identification mechanism from two processes: early feature combing and algorithmic model construction. Firstly, based on the differentiated needs and concerns of the participant groups, the multiple features of “information content + source users” are refined. Secondly, a multi-level fusion model is constructed for features processing. Specifically, Bidirectional Encoder Representation from Transformers (BERT)-Bi-directional Long-Short Term Memory (BiLSTM)-Linear are used to refine the semantic features, while Graph Attention Networks (GAT) is used to capture the entity attributes and relation features. Finally, the Convolutional Neural Network (CNN) is used to optimize the multi-level fusion features.FindingsThe results show that the ACC of the multi-level fusion model is 84.42%, F1 is 79.43% and R is 76.71%. Compared with other baseline models and single feature elements, the ACC and F1 values are improved to different degrees.Originality/valueThe originality of this paper lies in analyzing multiple features based on early stages and constructing a new multi-level fusion model for processing. Further, the study is valuable for the orientation of psychological patients' needs and early guidance of professional medical care.
Talent management in small and medium-sized enterprises: towards an integrative multilevel approach in the French context
Authors: Abid Kousay , Loufrani Sabrina 
Published: July 2024

PurposeThis research seeks to unveil an integrative perspective on talent management (TM) in small and medium-sized enterprises (SMEs), particularly through a multilevel approach and within the French context. Drawing on dynamic capability theory and focusing on French SMEs as a rich domain for multilevel studies, the research aims to elucidate how these enterprises operationalize TM while addressing and integrating their distinct capabilities and requirements, internal dynamics and challenges.Design/methodology/approachThrough an integrative study based on a qualitative approach, we collect data from 15 French SMEs. In total, 20 semi-structured interviews with individuals from different levels, managing and working in SMEs, were conducted and analyzed thematically to identify patterns across all SMEs. Companies and interviewees represented a variety of sectors such as telecommunication, high-tech, circular economy, etc.FindingsWe present an integrative multilevel approach through TM in French SMEs, describing how SMEs operationalize TM. Across three main levels (organizational, collective and individual) and key SMEs’ capabilities, our results underscore the significance of top management commitment capabilities and SMEs' assessment capabilities, the involvement of line managers in facilitating strategic agility and cultivating the talent ecosystem and the outcomes of TM in driving SMEs' reconfiguration, extending beyond mere TM-level integrations and articulations. We address these findings for foreign SMEs intending to enter the French context and SMEs’ actors on the importance of contextual issues and level articulations while calling for future research focusing on group-level and managers’ roles in TM.Originality/valueThis article moves the TM research towards an integrative multilevel view in SMEs as a fertile ground for studying multilevel TM. As part of recent studies on TM in French SMEs within the broader European competitive context, it expands the integrative approach in SMEs by accommodating the unique requirements, the multilevel dynamics and the challenges that they encounter with TM, especially when compared to multinational enterprises (MNEs).
Fostering a knowledge sharing culture: the role of fun, empowerment, and inclusive leadership
Authors: Islam Talat , Ahmed Ishfaq , Alkharabsheh Omar Hamdan Mohammad 
Published: July 2024

Purpose
Knowledge is an important resource that becomes obsolete if not shared in time. Therefore, this study aims to examine how employees’ perceived fun at work affects their psychological empowerment to evoke knowledge-sharing behavior. The study further explored the conditional role of inclusive leadership between the same.

Design/methodology/approach
Using the time lag approach, the data for the current study was collected from 355 employees working in IT firms. The study used convenience sampling, and structural equation modeling was used for hypotheses testing.

Findings
The results showed that perceptions of fun have a favorable impact on employees' knowledge sharing behavior and psychological empowerment mediate this relationship. Furthermore, there was no empirical evidence of the conditional role of inclusive leadership between fun and psychological empowerment. However, the results of the alternative model indicated that inclusive leadership moderates the relationship between psychological empowerment and knowledge sharing.

Research limitations/implications
The findings reveal that management should nurture fun at work as it can lead to psychological empowerment and knowledge sharing. The study also reveals that the role of leadership is important for empowerment and knowledge sharing relationships.

Originality/value
Based on the conservation of resources and self-determination perspectives, this study proposes and empirically investigates the mechanism of psychological empowerment and inclusive leadership which has largely been an unattended area of research in knowledge sharing literature.
Conceptualising a model for provider-employer collaborations in quantity surveying degree apprenticeship programmes
Authors: Obi Lovelin 
Published: July 2024

PurposeWith increasing demand to enhance collaborative practices in Degree Apprenticeship (DA) programmes like Quantity Surveying Degree Apprenticeships (QSDA), there is a notable lack of models supporting employer engagement, particularly in curriculum design and delivery. This study aims to fill this gap.Design/methodology/approachA qualitative research approach was employed, utilising semi-structured interviews, focus groups and questionnaires to gather stakeholder perspectives involved in QSDA programmes in England. This process aimed to identify key practice areas, collaboration process and enablers needed to conceptualise a collaborative model for employer engagement in QSDA curriculum design and delivery.FindingsThe model highlights four collaborative stages, four practice areas, fourteen focus actions, and twelve enablers essential for provider-employer collaborations in QSDA curriculum design and delivery.Originality/valueThis study introduces a novel curriculum design model emphasising the collaboration process and enablers for provider-employer engagement. It offers new insights for QSDA programme curriculum development and is the first to address this area, contributing to the literature on Degree Apprenticeships in built environment education.
Nexuses between induction training and on the-job-training on employee job performance: the mediating role of organizational culture
Authors: Iddrisu Issah , Adam Ahmed 
Published: July 2024

Purpose
The study aims to explore the mediating role of organizational culture in the relationship between on-the-job training (OJT), induction training and employee job performance. This study is conceptually grounded in Albert Bandura’s Social Cognitive Theory. The function that organizational culture plays as a mediator in the links between employee performance and on-the-job training and induction is a unique aspect of this study.

Design/methodology/approach
An industry-wide representation was ensured in the study by using a stratified random sampling technique to choose participants. The main characteristics pertaining to organizational culture, training initiatives and worker job performance were measured by using validated scales from earlier studies. For the purpose of validating the measurement model, factor loadings, internal consistency reliability and discriminant validity were evaluated through the use of partial least squares structural equation modelling in SmartPLS.

Findings
In support of Bandura’s Social Cognitive Theory, the study’s results show a strong association between work performance, organizational culture, on-the-job training and induction training. The study highlights the positive synergistic effect that supportive organizational culture and well-designed training programmes have on improving employee job performance. The unique contribution of this study is the provision of empirical support for these correlations across a wide range of industries, highlighting the crucial roles that organizational culture plays in promoting employee success.

Originality/value
Authors’ knowledge of how organizations may create environments that maximize worker productivity and potential is expanded by the study’s practical insights.
The role of Eco-shame in shaping Behavioural Purchase Intentions toward sustainable fashion consumption
Authors: Nicolau Luiza Gonçalves Ferreira , Christino Juliana Maria Magalhães , Cardozo Érico Aurélio Abreu , Ferreira Frederico Leocádio 
Published: July 2024

PurposeSustainable fashion encompasses principles of ethical production, fair trade, and the use of organic materials. This study explores the antecedents influencing behavioural intentions to purchase sustainable fashion among Brazilian fashion consumers, utilising the Theory of Planned Behaviour (TPB) as a framework and examining the role of Eco-shame.Design/methodology/approachA survey involving 378 respondents was conducted, and structural equation modelling was applied to analyse the data.FindingsThe study revealed that Perceived Behavioural Control, Attitude, and Eco-shame significantly influenced Behavioural Purchase Intention toward sustainable fashion products. In contrast to prior research, Subjective Norms did not demonstrate a substantial influence on Behavioural Purchase Intentions.Research limitations/implicationsEnhancing the generalizability of findings necessitates expanding the sample size and employing a probability sampling method for future research endeavours.Practical implicationsIn the realm of sustainable fashion consumption, it is imperative to understand consumer behaviour shifts, particularly amid the prevalence of fast fashion. This research aims to bridge this knowledge gap and underscore consumers’ motivations for selecting sustainable fashion products.Originality/valueThis study makes a theoretical contribution by introducing Eco-shame as an extension of the Theory of Planned Behaviour to evaluate Behavioural Purchase Intentions toward Sustainable Fashion Products, an innovation that has been absent from prior literature.
An adoption framework for agile new product development using hybrid RBWM-ISM-Fuzzy MICMAC approach
Authors: Palsodkar Manoj A. , Nagare Madhukar R. , Pansare Rajesh B. , Narwane Vaibhav S. 
Published: July 2024

Purpose
Agile new product development (ANPD) attracts researchers and practitioners by its ability to rapidly reconfigure products and related processes to meet the needs of emerging markets. To increase ANPD adoption, this study aims to identify ANPD enablers (ANPDEs) and create a structural framework that practitioners can use as a quick reference.

Design/methodology/approach
Initially, a comprehensive literature review is conducted to identify ANPDEs, and a structural framework is developed in consultation with an expert panel using a hybrid robust best–worst method interpretive structural modeling (ISM). During the ISM process, the interactions between the ANPDEs are investigated. The ISM result is used as input for fuzzy Matrice d’Impacts croises-multiplication appliqúean classment means cross-impact matrix multiplication applied to classification (MICMAC) analysis to investigate enablers that are both strong drivers and highly dependent.

Findings
The study’s findings show that four ANPDEs are in the low-intensity cluster and thus are excluded during the structural frame development. ISM output shows that “Strong commitment to NPD/top management support,” “Availability of resources,” “Supplier commitment/capability” and “Systematic project planning” are the important ANPDEs. Based on their driving and dependence power, the clusters formed during the fuzzy MICMAC approach show that 16 ANPDEs appear in the dependent zone, one ANPDE in the linkage zone and 14 ANPDEs in the driving zone.

Practical implications
This research has intense functional consequences for researchers and practitioners within the industry. Industry professionals require a conservative focus on the established ANPDEs during ANPD adoption. Management has to carefully prepare a course of action to avoid any flop during ANPD adoption.

Originality/value
The framework established is a one-of-a-kind study that provides an integrated impression of important ANPDEs. The authors hope that the suggested structural framework will serve as a blueprint for scholars working in the ANPD domain and will aid in its adoption.
Association between different dietary carbohydrates and risk of gallstone: a case-control study in Iranian adults
Authors: Nilghaz Maryam , Shahparvari Mohammadreza , Hekmatdoost Azita , Saadati Saeede , Ghorbani Moloud , Sadeghi Amir , Yari Zahra 
Published: July 2024

Purpose
Dietary components have been mentioned as modifiable risk factors in the development of gallstone disease (GSD), but it has been less addressed. The present study aimed to investigate the potential association between different types of dietary carbohydrate and the risk of gallstone.

Design/methodology/approach
In this case-control study 189 patients diagnosed with GSD as a case group and 342 people as a control group were enrolled. Dietary intake of the participants was collected through a 168-item semi-quantitative food frequency questionnaire. Total intakes of calories, macronutrients and different types of carbohydrate were estimated. Crude and multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to assess the association between carbohydrate intake and GSD.

Findings
Patients with gallstone consumed significantly more fructose and sucrose and less fiber. After fully adjustment, the logistic regression indicated significant association between GSD with dietary intake of total carbohydrate (OR = 1.65, 95% CI: 1.1–2.4, p = 0.009), sugar (OR = 1.23, 95% CI: 0.8–1.7, p = 0.014), fructose (OR = 2.5, 95% CI: 1.7–3.9, p < 0.001), glucose (OR = 1.9, 95% CI: 1.3–2.9, p = 0.002) and sucrose (OR = 1.37, 95% CI: 0.9–1.6, p = 0.042). Also, increasing intakes of lactose, galactose and maltose were associated with a decrease in the risk of GSD, but not statistically significant, although lactose was close to significance (OR = 0.71, 95% CI: 0.48–1, p = 0.051).

Originality/value
There is a positive and significant relationship between total carbohydrate, sugar, fructose, glucose and sucrose intake and the occurrence of gallstone.