bluuebunny/crossref_metadata_2025_split huggingface dataset:
COVID-19 vaccination and menstrual cycle changes: A United Kingdom (UK) retrospective case-control study
Authors: Alvergne Alexandra , Kountourides Gabriella , Argentieri M. Austin , Agyen Lisa , Rogers Natalie , Knight Dawn , Sharp Gemma C , Maybin Jacqueline A , Olszewska Zuzanna 
Published: November 2021

AbstractBackgroundThere has been increasing public concern that COVID-19 vaccines cause menstrual cycle disturbances, yet there is currently limited data to evaluate the impact of vaccination on menstrual health. Our objectives were (1) to evaluate the prevalence of menstrual changes following vaccination against COVID-19, (2) to test potential risk factors for any such changes, and (3) to identify patterns of symptoms in participants’ written accounts.MethodsWe performed a secondary analysis of a retrospective online survey titled “The Covid-19 Pandemic and Women’s Reproductive Health”, conducted in March 2021 in the UK before widespread media attention regarding potential impacts of SARS-CoV-2 vaccination on menstruation. Participants were recruited via a Facebook ad campaign in the UK and eligibility criteria for survey completion were age greater than 18 years, having ever menstruated and currently living in the UK. In total, 26,710 people gave consent and completed the survey. For this analysis we selected 4,989 participants who were pre-menopausal and vaccinated. These participants were aged 28 to 43, predominantly from England (81%), of white background (95%) and not using hormonal contraception (58%).FindingsAmong pre-menopausal vaccinated individuals (n=4,989), 80% did not report any menstrual cycle changes up to 4 months after their first COVID-19 vaccine injection. Current use of combined oral contraceptives was associated with lower odds of reporting any changes by 48% (OR = 0.52, 95CI = [0.34 to 0.78],P<0.001). Odds of reporting any menstrual changes were increased by 44% for current smokers (OR = 1.44, 95CI = [1.07 to 1.94],P<0.01) and by more than 50% for individuals with a positive COVID status [Long Covid (OR = 1.61, 95CI = [1.28 to 2.02],P<0.001), acute COVID (OR = 1.54, 95CI = [1.27 to 1.86],P<0.001)]. The effects remain after adjusting for self-reported magnitude of menstrual cycle changes over the year preceding the survey. Written accounts report diverse symptoms; the most common words include “cramps”, “late”, “early”, “spotting”, “heavy” and “irregular”, with a low level of clustering among them.ConclusionsFollowing vaccination for COVID-19, menstrual disturbance occurred in 20% of individuals in a UK sample. Out of 33 variables investigated, smoking and a previous history of SARS-CoV-2 infection were found to be risk factors while using oestradiol-containing contraceptives was found to be a protective factor. Diverse experiences were reported, from menstrual bleeding cessation to heavy menstrual bleeding.
BatchDTA: Implicit batch alignment enhances deep learning-based drug-target affinity estimation
Authors: Luo Hongyu , Xiang Yingfei , Fang Xiaomin , Lin Wei , Wang Fan , Wu Hua , Wang Haifeng 
Published: November 2021

AbstractCandidate compounds with high binding affinities toward a target protein are likely to be developed as drugs. Deep neural networks (DNNs) have attracted increasing attention for drug-target affinity (DTA) estimation owning to their efficiency. However, the negative impact of batch effects caused by measure metrics, system technologies, and other assay information is seldom discussed when training a DNN model for DTA. Suffering from the data deviation caused by batch effects, the DNN models can only be trained on a small amount of “clean” data. Thus, it is challenging for them to provide precise and consistent estimations. We design a batch-sensitive training framework, namely BatchDTA, to train the DNN models. BatchDTA implicitly aligns multiple batches toward the same protein, alleviating the impact of the batch effects on the DNN models. Extensive experiments demonstrate that BatchDTA facilitates four mainstream DNN models to enhance the ability and robustness on multiple DTA datasets. The average concordance index (CI) of the DNN models achieves a relative improvement of 4.0%. BatchDTA can also be applied to the fused data collected from multiple sources to achieve further improvement.
Accurate MHC Motif Deconvolution of Immunopeptidomics Data Reveals a Significant Contribution of DRB3, 4 and 5 to the Total DR Immunopeptidome
Authors: Kaabinejadian Saghar , Barra Carolina , Alvarez Bruno , Yari Hooman , Hildebrand William H , Nielsen Morten 
Published: November 2021

SummaryMass spectrometry (MS) based immunopeptidomics is used in several biomedical applications including neo-epitope discovery in oncology and next-generation vaccine development. Immunopeptidome data are highly complex given the expression of multiple HLA alleles on the cell membrane and presence of co-immunoprecipitated contaminants. The absence of tools that accurately deal with these challenges is currently a major bottleneck for the large-scale application of this technique. Here, we present the MHCMotifDecon that benefits from state-of-the-art HLA class-I and class-II predictions to accurately deconvolute immunopeptidome datasets and assign individual ligands to the most likely HLA allele while discarding co-purified contaminants. We have benchmarked the tool against other state-of-the-art methods and illustrated its application on experimental datasets for HLA-DR demonstrating a previously underappreciated role for HLA-DRB3/4/5 molecules in defining HLA class II immune repertoires. With its ease of use MHCMotifDecon can efficiently guide interpretation of immunopeptidome datasets, serving the discovery of novel T cell targets.
Magnetic field simulations using explicit time integration with higher order schemes
Authors: Kähne Bernhard , Clemens Markus , Schöps Sebastian 
Published: November 2021

Purpose
A transient magneto-quasistatic vector potential formulation involving nonlinear material is spatially discretized using the finite element method of first and second polynomial order. By applying a generalized Schur complement the resulting system of differential algebraic equations is reformulated into a system of ordinary differential equations (ODE). The ODE system is integrated in time by using explicit time integration schemes. The purpose of this paper is to investigate explicit time integration for eddy current problems with respect to the performance of the first-order explicit Euler scheme and the Runge-Kutta-Chebyshev (RKC) method of higher order.

Design/methodology/approach
The ODE system is integrated in time using the explicit Euler scheme, which is conditionally stable by a maximum time step size. To overcome this limit, an explicit multistage RKC time integration method of higher order is used to enlarge the maximum stable time step size. Both time integration methods are compared regarding the overall computational effort.

Findings
The numerical simulations show that a finer spatial discretization forces smaller time step sizes. In comparison to the explicit Euler time integration scheme, the multistage RKC method provides larger stable time step sizes to diminish the overall computation time.

Originality/value
The explicit time integration of the Schur complement vector potential formulation of eddy current problems is accelerated by a multistage RKC method.
The misuse of drugs act – a user perspective
Authors: Southwell Mat 
Published: November 2021

Purpose
This paper aims to demonstrate the ways in which the Misuse of Drugs Act (MDA) militates against the interests and situations of people who use drugs. The author reflects on the author’s journey as a drug user, drugs workers and drug user organiser to critique the MDA. The author describes the impact of the MDA on the author’s early experimentation with substances and highlights the limitations of simplistic drugs prevention. The author describes how the MDA maximises drug-related risks and undermines the creation of healthy cultural norms and community learning among people who use drugs. The author talks about the author’s work as a drugs practitioner and mourns the vandalism of the UK’s harm reduction and drug treatment system. This paper describes the opportunity to use drug policy reform as a progressive electoral agenda to begin the journey towards racial and social justice. This paper calls for the rejection of the Big Drugs Lie and the repeal of the failed MDA.

Design/methodology/approach
Personal reflection based on experience as drug user, drugs worker and drug user organiser.

Findings
Successive UK Governments have used the MDA as a tool of social control and racial discrimination. The Big Drugs Lie undermines science-based and rights-compliant drug policy and drug services and criminalises and puts young people at risk. There is the potential to build a progressive political alliance to remove the impediment of the MDA and use drug policy reform as tools for racial and social justice.

Practical implications
The MDA maximises the harms faced by people who use drugs, stokes stigma and discrimination and has undermined the quality of drug services. The MDA needs to be exposed and challenged as a tool for social control and racial discrimination. Delivering drug policy reform as a progressive electoral strategy could maximise its potential to improve social and racial justice.

Originality/value
This paper represents the view of people who use drugs by a drug user, a view which is seldom expressed in the length and level of argument shown here.
Library and information science research in the Arab World: a bibliometric analysis 1951–2021
Authors: Siddique Nadeem , Ur Rehman Shafiq , Ahmad Shakil , Abbas Akhtar , Khan Muhammad Ajmal 
Published: November 2021

Purpose
This study aims to investigate the research productivity of library and information science (LIS) authors affiliated with the 22 countries of the Arab League. It also identifies the top countries, organizations, authors, journals, natures of collaboration, and frequently used keywords in LIS research in the Arab world.

Design/methodology/approach
Bibliometric methods were used to evaluate the research performance of the authors affiliated with library organizations in the Arab region. The Elsevier Scopus database was selected for data retrieval. A comprehensive search strategy was adopted to retrieve 863 publications contributed by LIS authors affiliated with the Arab countries. VOS viewer, Biblioshiny, BiblioAnalyitics, Microsoft Access and Microsoft Excel were used for data visualization and analysis.

Findings
This paper presents the dynamics and the state of the LIS research in the Arab region published between 1951 and 2021. The results of the study have highlighted an upward trend in the growth of the publications, especially in the past four years. The largest number of studies were published in the year 2020. The country-wise analysis ranked Kuwait and Saudi Arabia as the top LIS research producing countries with five and four researchers, respectively. The Kuwait University, the King Fahd University of Petroleum and Minerals and the Imam Abdulrahman Bin Faisal University were the three most productive organizations. Academic libraries, social media, bibliometrics, information-seeking behavior, information literacy and knowledge management were identified as the major areas of interest for the researchers. Internet and open access were topics that had gained recent popularity, while the digital library, research data management, green librarianship, link data, cloud computing, library leadership, library automation and artificial intelligence were identified as areas requiring further attention. Furthermore, the single-author pattern was found to be the most preferred pattern.

Practical implications
The findings of this study would help prospective researchers in choosing the neglected areas of research that require further investigation. They would also help policymakers in identifying factors that need more attention and allocation of research funds.

Originality/value
To the best of the authors’ knowledge, this is the first comprehensive bibliometric study that presents a holistic picture of the LIS research in the Arab region.
Human resource developments with the touch of artificial intelligence: a scale development study
Authors: Kambur Emine , Akar Cüneyt 
Published: November 2021

PurposeThe aim of this study is to develop a reliable and valid scale. At the same time, it is to reveal the perceptions of HR employees towards artificial intelligence (AI). In addition, examining the change made by AI in the HR department is another purpose of the study.Design/methodology/approachA scale was developed in this study. A total of 821 observation out of the samples from the human resource managers and employees of the Turkey's largest organizations in terms of capital were analyzed by applying all scientific steps of scale development process. Using appropriate statistical criteria, scale was showed to be valid and reliable. General condition was demonstrated in the human resource departments of large companies in Turkey as a result of these tests.FindingsHuman resource employees and managers could have the perception that this technology will save the work done from monotony, reduce the stress experienced to find the suitable candidate and access more candidates with the desired qualifications. It was found that when AI technology was included in training and development process, human resource managers and employees could have a perception that the time spent for training and the lack of attention in training will decrease compared to the traditional method.Originality/valueThe contribution of this study to the literature is the development of a valid and reliable scale. Data collected with the developed scale were evaluated in Turkey.
Career patterns of marketing managers in top European football clubs
Authors: Nessel Karolina 
Published: November 2021

PurposeThe goal of this research was to explore career patterns of senior marketing managers in the best European football clubs (SMMEFCs).Design/methodology/approachThe data came from the LinkedIn profiles of current and past SMMEFCs. Firstly, the optimal matching algorithm was used to determine clusters of pathways leading to a first SMMEFC position based on the main activity of the employing organisation. Secondly, these patterns were compared in terms of variables depicting the career paths, clubs and managers. Finally, the evolution of the post-SMMEFC careers was analysed.FindingsPeople in their first SMMEFC positions are mainly male with a university degree in business and marketing, and with a predominantly functional experience in marketing. There are five ways to become an SMMEFC: through business (40% of the sample), football (32%), other sports (11%), marketing and communication (11%), and media (6%). As the majority of SMMEFCs come to their positions from outside the sporting world, the specificity of the football industry is not a serious obstacle. Instead, the careers are bounded by functional marketing experience. Among the individual sequences leading to a first SMMEFC position, only around half of the football cluster may be considered traditional careers. Football, and sports in general, seem attractive for post-SMMEFC career development for the majority of managers coming from all pathways.Originality/valueThe study is the first one to quantify career patterns in professional sports management. It provides new insights about marketing careers and practice in European club football.
Teaching diversity in North American higher education master's programs: curricula and rationales
Authors: Walpole MaryBeth , Crockett Felicia , Lezotte Stephanie 
Published: November 2021

Purpose This study aims to examine North American master's programs in higher education administration, leadership and student affairs; the extent to which these programs incorporate diversity coursework; and their reasons for doing so. Graduate programs must prepare practitioners who are able to work effectively with multiple groups of students, ameliorate persistence and graduation gaps, and create more socially just campuses.Design/methodology/approachUsing an open-ended questionnaire and document analysis, the authors analyzed the extent to which and why these master's programs incorporate courses and course material on diversity.FindingsExactly half of higher education leadership (50%) and a small majority of student affairs (52%) programs require some type of diversity course, while only 42% of higher education administration programs do so. Reported reasons for including such coursework include students' demand for such courses, the centrality of diversity to university missions and standards in the field.Research limitations/implicationsResearch on faculty perceptions regarding the need for diversity courses with a focus on interest convergence may be productive.Practical implicationsProgram directors should ensure that coursework on diversity is required, and that faculty teaching these courses are comfortable discussing these topics to prepare students to work with diverse groups in multiple contexts.Originality/valueThis study uses multiple methods (document analysis, open-ended questionnaire of program directors) to analyze programs and program design intentions. The authors use the critical race theory framework's tenet of interest convergence to understand program rationales.
Senior financial exploitation through wills, trusts, and guardianship: basics, red flags and prevention measures
Authors: Schmidt Martina Kirsten , Stowell Nicole Forbes , Pacini Carl , Patterson Gary 
Published: November 2021

Purpose
The purpose of this paper is to discuss financial fraud and exploitation against seniors relating to wills, trusts and guardianship. The paper describes how this fraud affects its victims, points out red flags and makes recommendations that may help control this pervasive type of fraud.

Design/methodology/approach
Information from a range of different sources, such as journal publications, law textbooks, law enforcement websites and estate planning cases are used as a basis to provide information about how fraudsters are committing this type of fraud, which red flags to watch out for and how to prevent this fraud from occurring.

Findings
Fraud relating to wills, trusts and guardianship is oftentimes difficult to detect and continues to be a grave threat to its victims. While this fraud will likely never be eradicated, specific efforts have been put into place to track financial exploitation. Further steps presented in this paper can be deployed to help rein in these fraud schemes.

Practical implications
The paper provides useful information about frauds related to wills, trusts and guardianship for stakeholders. This includes, but is not limited to, anyone whose work is related to seniors, such as accountants, lawyers, regulators, bankers, financial planners, law enforcement personnel, academics, medical professionals, caregivers, family members and ethicists. These stakeholders can use this information to help combat this fraud and prevent not only financial losses of seniors but physical harm as well.

Social implications
Decreasing financial exploitation of seniors will not only improve their financial position and may reduce their reliance on Medicaid but will also improve their mental and physical well-being and save lives.

Originality/value
Research in the area of maltreatment and exploitation of older adults is still in its early stages, as knowledge of effective prevention, intervention and remediation practices are limited. This paper adds to the research in this arena by drawing on a unique set of resources that shed light on financial fraud commonly committed against seniors. This study also makes much needed recommendations that are aimed to prevent this threat related to wills, trusts and guardianship.
What drives inter-organisational knowledge management? The cause and effect analysis using a multi-layer multi-criteria decision-making framework
Authors: Amoozad Mahdiraji Hannan , Beheshti Moein , Jafari-Sadeghi Vahid , Garcia-Perez Alexeis 
Published: November 2021

Purpose
Knowledge management seeks collaborative practices among organisations to generate technical, adapt and share knowledge to obtain a sustainable competitive advantage in cross-border business activities. This paper aims to disentangle the crucial determinants of knowledge management in inter-organisational arrangements settings.

Design/methodology/approach
In the first stage, after an in-depth literature review, the main knowledge management drivers are identified. In the second stage, based on the identified drivers, the importance and relationship between the drivers are evaluated by expert opinions from academic and executive activists. Eventually, in the last stage, a multi-layer decision-making approach has been proposed and used to determine the relationship and the importance of the drivers.

Findings
The findings of this paper assess the ranking of the different elements from experts’ opinions and discuss important theoretical and managerial implications. The influential factors were identified through an extensive literature review, which combined with the views of experts from academia and industry (international firms). Furthermore, the ranking of factors based on the experts’ overall opinion was used to discuss theoretical and managerial contributions.

Originality/value
This research provides a better understanding of the interrelationships between the key drivers of knowledge management, which helps management draw more effective strategies to address the cultural differences between firms. Moreover, understanding of the importance of the systems and structures that define the nature of the collaboration in inter-organisational settings, as well as the risks related to those are presented in this research.
Non-work-related instant messaging in the workplace and daily task performance: complementarity between social and cognitive resources
Authors: Du Jing , Fan Wei , Choi Jin Nam 
Published: November 2021

PurposeThe ubiquity of smartphones has changed how people communicate, work and entertain. In view of conservation of resources theory and the positive spillover effect, this study explores the effect of non-work-related instant messaging (IM) in the workplace on daily task performance.Design/methodology/approachThe authors use the experience sampling method to collect day-level data from 75 employees over a period of 10 workdays. Multilevel path analysis is used to test the hypotheses.FindingsNon-work-related IM exerts a significant negative indirect effect on daily task performance through diminished cognitive engagement. This negative indirect effect disappears when social support is high, thereby showing the function of social support as a neutralizer of the detriment of non-work-related IM on daily task performance.Practical implicationsThe findings suggest that organizations can neutralize the harm of non-work-related IM in the workplace by promoting social support perceived by employees.Originality/valueThis study advances the technology and management literature by developing and testing a balanced perspective on the ambivalent effect of workplace smartphone use that considers social and cognitive resource implications.