bluuebunny/crossref_metadata_2025_split huggingface dataset:
EpidemicKabu a new method to identify epidemic waves and their peaks and valleys
Authors: Galvis Lina Marcela Ruiz , Barbosa Anderson Alexis Ruales , Cardozo Oscar Ignacio Mendoza , Barengo Noël Christopher , Peñalvo Jose L. , Valencia Paula Andrea Diaz 
Published: March 2024

AbstractINTRODUCTIONThe dynamical behavior of epidemic curves is an oscillation between a very low and very high number of incident cases throughout the time. These oscillations are commonly called waves of the epidemic curve. The concept of epidemic waves lacks a consensual definition and a simple methodology that can be used for many diseases.OBJECTIVEWe describe in this study the EpidemicKabu method to identify the start and the end of past epidemic waves but also their peaks and valleys.METHODThe methodology is divided into processing of the curve, waves detection, and peaks and valleys delimitation. For processing the curve, a Gaussian kernel was used to diminish the noise and to smooth the curve. The first and second derivatives of the curve were used for the detection of waves, delimitation of peaks and valleys. The methodology was derived into the open access library. The method was tested using COVID-19 daily cases reported between 2020 and 2022 for different countries. After detection of waves, we made some measures related to the size of the waves for those countries.RESULTSThe results of the method were the dates of start and end of waves, peaks, and valleys. The dates are displayed on graphs and added as a new column in a dataset. We found that Belgium was the country recording the highest ratio of incident cases per 100 people by day in a wave.CONCLUSIONThe EpidemicKabu method is simple, easy to use, and very useful in estimating epidemic waves. The methodology requires expert judgment in order to set a parameter that could only have three possible values.
Australian researchers’ perceptions and experiences with stem cell registration
Authors: Hu Mengqi , Santos Dan , Lopes Edilene , Nicol Dianne , Kurtz Andreas , Mah Nancy , Muller Sabine C. , Ankeny Rachel A. , Wells Christine A. 
Published: March 2024

AbstractThe recently issued ISSCR standards in stem cell research recommend registration of human pluripotent stem cell lines (hPSCs). Registration is an important part of establishing stem cell provenance and connecting cell lines to data derived on those lines. In this study, we sought to understand common barriers to registration, by conducting interviews with forty-eight Australian stem cell stakeholders, including researchers, clinicians, and industry professionals. Australian stem cell researchers do not routinely register their lines, and of those Australian lines captured by an international registry, only a third have completed the registration process. Most registered Australian cell lines miss information about their ethical provenance or key pluripotency characteristics. Incomplete registration is poorly aligned with the goals of open science that registries are founded on, and users themselves expressed concerns about the quality of the partial information provided to the resource. Registration was considered a publication hurdle, and this impacted on user perceptions of usefulness of registration, and lowered the likelihood that they would engage with registries to find resources. Although the Australian community represents a small fraction of registry users, the results of this study may suggest ways for journals, registries, and the stem cell community to improve registration compliance.HighlightsResearchers who perceive registration as a publication hurdle are unlikely to complete the registration process.Incomplete registration promotes misunderstandings about the goals and quality of a registry. Full registration of pluripotent stem cell lines is an important step in verifying cell line provenance.Greater public awareness of registration, combined with requirements for full registration by journals will support the community adopt ISSCR recommendations to register lines.
Distinct tissue-dependent composition and gene expression of human fetal innate lymphoid cells
Authors: Rødahl Inga E. , Ivarsson Martin A. , Loh Liyen , Mold Jeff E. , Westgren Magnus , Friberg Danielle , Mjösberg Jenny , Björkström Niklas K. , Marquardt Nicole , Nixon Douglas F. , Michaëlsson Jakob 
Published: March 2024

AbstractThe human fetal immune system starts to develop in the first trimester and likely plays a crucial role in fetal development and maternal-fetal tolerance. Innate lymphoid cells (ILCs) are the earliest lymphoid cells to arise in the human fetus. ILCs consists of natural killer (NK) cells, ILC1s, ILC2s, and ILC3s that all share a common lymphoid origin. Here, we studied fetal ILC subsets, mainly NK cells and ILC3s and their potential progenitors, across human fetal tissues from the first and second trimesters. Our results show that fetal ILC subsets have distinct distribution, developmental kinetics, and gene expression profiles across human fetal tissues. Furthermore, we identify a putative CD34+RORγt+Eomes+/−ILC progenitor population exclusively present in fetal intestine, indicating that tissue-restricted development of ILCs could contribute to the variation in ILC composition and gene expression between tissues.
Robust cytoplasmic partitioning by solving an intrinsic cytoskeletal instability
Authors: Rinaldin Melissa , Kickuth Alison , Dalton Benjamin , Xu Yitong , Di Talia Stefano , Brugués Jan 
Published: March 2024

AbstractEarly development across vertebrates and insects critically relies on robustly reorganizing the cytoplasm of fertilized eggs into individualized cells. This intricate process is orchestrated by large microtubule structures that traverse the embryo, partitioning the cytoplasm into physically distinct and stable compartments. Despite the robustness of embryonic development, here we uncover an intrinsic instability in cytoplasmic partitioning driven by the microtubule cytoskeleton. We reveal that embryos circumvent this instability through two distinct mechanisms: either by matching the cell cycle duration to the time needed for the instability to unfold or by limiting microtubule nucleation. These regulatory mechanisms give rise to two possible strategies to fill the cytoplasm, which we experimentally demonstrate in zebrafish andDrosophilaembryos, respectively. In zebrafish embryos, unstable microtubule waves fill the geometry of the entire embryo from the first division. Conversely, inDrosophilaembryos, stable microtubule asters resulting from reduced microtubule nucleation gradually fill the cytoplasm throughout multiple divisions. Our results indicate that the temporal control of microtubule dynamics could have driven the evolutionary emergence of species-specific mechanisms for effective cytoplasmic organization. Furthermore, our study unveils a fundamental synergy between physical instabilities and biological clocks, uncovering universal strategies for rapid, robust, and efficient spatial ordering in biological systems.
Excitations of bubbling geometries for line defects
Authors: Hatsuda Yasuyuki , Okazaki Tadashi 
Published: March 2024

The half-Bogomolny-Prasad-Sommerfield (BPS) Wilson line operators in the irreducible representations labeled by the Young diagrams for N=4 U(N) super Yang-Mills theory have gravity dual descriptions. When the number k of boxes of the diagram grows as k∼N2, the bubbling geometries emerge. We evaluate the spectra of quantum fluctuations on the particular bubbling geometry involving the largest degeneracy from the large N and large k limit of the supersymmetric indices decorated by the Wilson lines. The spectra of excitations over multiparticle 1/8- and 1/2-BPS states agree with the numbers of conjugacy classes of general linear group over finite fields while degeneracies of single particle BPS states are given by the general necklace polynomial. The bubbling geometry exhibits a new class of asymptotic degeneracy of states.

Published by the American Physical Society
2024
Reconceptualizing the interplay between geopolitical index, green financial assets and renewable energy markets: evidence from the machine learning approach
Authors: Jarboui Anis , Mnif Emna , Zghidi Nahed , Akrout Zied 
Published: March 2024

PurposeIn an era marked by heightened geopolitical uncertainties, such as international conflicts and economic instability, the dynamics of energy markets assume paramount importance. Our study delves into this complex backdrop, focusing on the intricate interplay the between traditional and emerging energy sectors.Design/methodology/approachThis study analyzes the interconnections among green financial assets, renewable energy markets, the geopolitical risk index and cryptocurrency carbon emissions from December 19, 2017 to February 15, 2023. We investigate these relationships using a novel time-frequency connectedness approach and machine learning methodology.FindingsOur findings reveal that green energy stocks, except the PBW, exhibit the highest net transmission of volatility, followed by COAL. In contrast, CARBON emerges as the primary net recipient of volatility, followed by fuel energy assets. The frequency decomposition results also indicate that the long-term components serve as the primary source of directional volatility spillover, suggesting that volatility transmission among green stocks and energy assets tends to occur over a more extended period. The SHapley additive exPlanations (SHAP) results show that the green and fuel energy markets are negatively connected with geopolitical risks (GPRs). The results obtained through the SHAP analysis confirm the novel time-varying parameter vector autoregressive (TVP-VAR) frequency connectedness findings. The CARBON and PBW markets consistently experience spillover shocks from other markets in short and long-term horizons. The role of crude oil as a receiver or transmitter of shocks varies over time.Originality/valueGreen financial assets and clean energy play significant roles in the financial markets and reduce geopolitical risk. Our study employs a time-frequency connectedness approach to assess the interconnections among four markets' families: fuel, renewable energy, green stocks and carbon markets. We utilize the novel TVP-VAR approach, which allows for flexibility and enables us to measure net pairwise connectedness in both short and long-term horizons.
The role of perceived value in football club branding: a developing league perspective
Authors: Amu Prince Yao , Narteh Bedman , Kodua Prince 
Published: March 2024

PurposeThe purpose of this study is to identify which dimensions of perceived value best mediate football club branding and fan loyalty from a developing league perspective.Design/methodology/approachUsing a cross-sectional design, we collected data using questionnaires from football fans in Ghana (N = 700). The data were analysed using SmartPLS V3, applying structural equation modelling with bootstrapping procedure.FindingsThe results indicate that club branding is an effective precursor of fan loyalty. Moreover, the findings suggest that functional, social and emotional values mediated club branding and fan loyalty, whereas epistemic and economic values did not.Originality/valueThis study contributes to sports management literature by identifying the dimensions of perceived value that will be relevant in the development of club brands in the developing league context.
Accent modification and workplace accentism: the institutionalization of linguistic profiling and its career implications
Authors: Ramjattan Vijay A. 
Published: March 2024

PurposeThis paper argues that accent modification acts as a mechanism that (re)produces workplace accentism, which is a set of ideologies and practices positioning some English accents as inherently superior/inferior to others in the context of work and careers.Design/methodology/approachThis conceptual paper draws on existing literature mainly from critical sociolinguistic and labor studies to support its central argument.FindingsThrough acting as a skill, a technology and a commodified service, accent modification naturalizes linguistic hierarchies, which are racist, classist and colonial constructions, and reinforces the structural status quo in different contexts.Practical implicationsIn order to move away from accent modification as a means to enhance oral communication at work, organizational attempts at fostering mutual intelligibility and undoing the role of accent in workplace communication are necessary.Originality/valueContrary to research that presents accentism as a purely interpersonal issue, the paper explores how accentism is institutionalized and is connected to linguistic profiling.
Vicarious learning and graduates' adaptive career behaviours: the case of graduates on clinical internships
Authors: Ehiobuche Christian 
Published: March 2024

PurposeThe effect of vicarious learning during clinical or medical internships on graduates' adaptive career behaviours has attracted scant attention from healthcare researchers, particularly, in the developing world context. Drawing upon the social cognitive career theory model of career self-management (SCCT-CSM), the current study examines how vicarious learning influences the clinical graduates' adaptive career behaviours (i.e. career exploration and decision-making) via career exploration and decision-making self-efficacy (CEDSE) and career intention.Design/methodology/approachData were collected from 293 nursing graduates undertaking clinical internships in 25 hospitals across Nigeria who willingly participated in this study as they were also assured of confidentiality at two-waves. The proposed hypotheses were tested using a path analysis.FindingsThe findings showed that vicarious learning during clinical internship had a direct effect on career exploration, decision-making and career decision self-efficacy among graduate trainees. Also, the findings revealed that the effects of vicarious learning on the graduates' career exploration and career decision-making were significantly mediated by career decision self-efficacy and career intentions.Practical implicationsThe findings of this study have important practical implications for higher education institutions and industries that send and receive clinical graduates for clinical internships to gain more skills. More emphasis should be on encouraging learners to learn vicariously in addition to other forms of learning experiences available during clinical internships.Originality/valueThe study explains that the graduates' higher engagement in clinical career exploration and decision-making was based on a higher level of vicarious learning during internships. The results suggest that higher education institutions and healthcare service providers can derive greater benefits from more emphasis on promoting vicarious learning during clinical internships.
How does goal orientation affect employees’ perception of abusive supervisors?
Authors: Wang Haizhen , Ma Xin , An Ge , Zhang Wenming , Tang Huili 
Published: March 2024

Purpose
Goal orientation shapes employees’ approach to and interpretation of workplace aspects such as supervisors’ behavior. However, research has not fully examined the effect of goal orientation as an antecedent of abusive supervision. Drawing from victim precipitation theory, this study aims to fill this research gap by investigating how employees’ goal orientation influences their perception of abusive supervision.

Design/methodology/approach
Two studies were conducted to test the hypotheses. In Study 1, 181 employees in 45 departments participated in the survey, and multilevel confirmatory factor analysis, two-level path model and polynomial regression were used. In Study 2, 108 working adults recruited from a professional online survey platform participated in a two-wave time-lagged survey. Confirmatory factor analysis, hierarchical linear regression and polynomial regression were used.

Findings
This study found that employees’ learning goal orientation was negatively related to their perception of abusive supervision. In contrast, performance-avoidance goal orientation was positively related to their perception of abusive supervision, whereas performance-approach goal orientation was unrelated to this perception. Moreover, employees’ perception of abusive supervision was greater when learning and performance-approach goal orientation alignment occurred at lower rather than higher levels, and when performance-avoidance and performance-approach goal orientation alignment occurred at higher rather than lower levels.

Originality/value
This research identified two novel victim traits as antecedents of abusive supervision – employees’ learning goal orientation and performance-avoidance goal orientation. Furthermore, adopting a multiple goal perspective, the authors examined the combined effects of goal orientation on employees’ perception of abusive supervision.
Occupational health and safety management: managers’ organizational conditions and effect on employee well-being
Authors: Lundqvist Daniel , Reineholm Cathrine , Ståhl Christian , Hellgren Mattias 
Published: March 2024

PurposeKnowledge regarding the importance of the psychosocial work environment for health and well-being in the workplace is extensive. However, more knowledge is needed about how the managers’ organizational conditions are related to what occupational health and safety management (OHSM) is actually conducted and how this relates to the work-related health of employees. The aim of this study is therefore to investigate if managers’ organizational conditions are associated with the conducted OHSM, and if the conducted OHSM is associated with the psychosocial work environment and well-being of the employees.Design/methodology/approachAn electronic questionnaire was sent to managers and their employees working in 10 different organizations in Sweden, resulting in 1,097 valid responses. Structural equation modeling (SEM) was used to analyze the results.FindingsThe SEM analysis showed that managers’ conditions were related to employee well-being via OHSM and psychosocial work environment (job demands and job resources).Originality/valueThis study contributes to the existing literature in the field of OHSM by placing explicit focus on the role of organizational conditions for conducting OHSM. By studying not only the link between work environment and health, but also focus on the underlying organizational structures for OHSM, provides additional possibilities for prevention of the increasing work-related illness. As such, this paper contributes to a more holistic perspective in the field of OHSM.
Capital market effects of integrated reporting quality: evidence from South African context
Authors: Boujelben Nawar , Hadriche Manal , Makni Fourati Yosra 
Published: March 2024

Purpose
The purpose of this study is to examine the interplay between integrated reporting quality (IRQ) and capital markets. More specifically, the authors test the impact of IRQ on stock liquidity, cost of capital and analyst forecast accuracy.

Design/methodology/approach
The sample consists of listed firms on the Johannesburg Stock Exchange in South Africa, covering the period from 2012 to 2020. The IRQ measure used in this study is based on data from Ernst and Young. To test the proposed hypotheses, the authors conducted a generalized least squares regression analysis.

Findings
The empirical results evince a positive relationship between IRQ and stock liquidity. However, the authors did not find a significant effect of IRQ on the cost of capital and financial analysts’ forecast accuracy. In robustness tests, it was shown that firms with a higher IRQ score exhibit higher liquidity and improved analyst forecast accuracy. Additional analysis indicates a negative association between IRQ and the cost of capital, as well as a positive association between IRQ and financial analyst forecast accuracy for firms with higher IRQ scores (TOP ten, Excellent, Good).

Originality/value
The study stands as one of the initial endeavors to investigate the impact of IRQ on the capital market. It provides valuable insights for managers and policymakers who are interested in enhancing disclosure practices within the financial market. Furthermore, these findings are significant for investors as they make informed investment decisions.
A simulation-based performance evaluation model for decision support on drone location and delivery scheduling
Authors: Ghelichi Zabih , Gentili Monica , Mirchandani Pitu 
Published: March 2024

Purpose
This paper aims to propose a simulation-based performance evaluation model for the drone-based delivery of aid items to disaster-affected areas. The objective of the model is to perform analytical studies, evaluate the performance of drone delivery systems for humanitarian logistics and can support the decision-making on the operational design of the system – on where to locate drone take-off points and on assignment and scheduling of delivery tasks to drones.

Design/methodology/approach
This simulation model captures the dynamics and variabilities of the drone-based delivery system, including demand rates, location of demand points, time-dependent parameters and possible failures of drones’ operations. An optimization model integrated with the simulation system can update the optimality of drones’ schedules and delivery assignments.

Findings
An extensive set of experiments was performed to evaluate alternative strategies to demonstrate the effectiveness for the proposed optimization/simulation system. In the first set of experiments, the authors use the simulation-based evaluation tool for a case study for Central Florida. The goal of this set of experiments is to show how the proposed system can be used for decision-making and decision-support. The second set of experiments presents a series of numerical studies for a set of randomly generated instances.

Originality/value
The goal is to develop a simulation system that can allow one to evaluate performance of drone-based delivery systems, accounting for the uncertainties through simulations of real-life drone delivery flights. The proposed simulation model captures the variations in different system parameters, including interval of updating the system after receiving new information, demand parameters: the demand rate and their spatial distribution (i.e. their locations), service time parameters: travel times, setup and loading times, payload drop-off times and repair times and drone energy level: battery’s energy is impacted and requires battery change/recharging while flying.