bluuebunny/crossref_metadata_2025_split huggingface dataset:
The challenge of delimiting cryptic species, and a supervised machine learning solution
Authors: Derkarabetian Shahan , Starrett James , Hedin Marshal 
Published: August 2021

AbstractThe diversity of biological and ecological characteristics of organisms, and the underlying genetic patterns and processes of speciation, makes the development of universally applicable genetic species delimitation methods challenging. Many approaches, like those incorporating the multispecies coalescent, sometimes delimit populations and overestimate species numbers. This issue is exacerbated in taxa with inherently high population structure due to low dispersal ability, and in cryptic species resulting from nonecological speciation. These taxa present a conundrum when delimiting species: analyses rely heavily, if not entirely, on genetic data which over split species, while other lines of evidence lump. We showcase this conundrum in the harvester Theromaster brunneus, a low dispersal taxon with a wide geographic distribution and high potential for cryptic species. Integrating morphology, mitochondrial, and sub-genomic (double-digest RADSeq and ultraconserved elements) data, we find high discordance across analyses and data types in the number of inferred species, with further evidence that multispecies coalescent approaches over split. We demonstrate the power of a supervised machine learning approach in effectively delimiting cryptic species by creating a “custom” training dataset derived from a well-studied lineage with similar biological characteristics as Theromaster. This novel approach uses known taxa with particular biological characteristics to inform unknown taxa with similar characteristics, and uses modern computational tools ideally suited for species delimitation while also considering the biology and natural history of organisms to make more biologically informed species delimitation decisions. In principle, this approach is universally applicable for species delimitation of any taxon with genetic data, particularly for cryptic species.
Characterization and clustering of kinase isoform expression in metastatic melanoma
Authors: Holland David O. , Gotea Valer , Fedkenheuer Kevin , Jaiswal Sushil K. , Elnitski Laura 
Published: August 2021

AbstractMutations to the human kinome are known to play causal roles in cancer. The kinome regulates numerous cell processes including growth, proliferation, differentiation, and apoptosis. In addition to aberrant expression, aberrant alternative splicing of cancer-driver genes is receiving increased attention as it could create loss or gain of functional domains, altering a kinase’s downstream effects.The present study quantifies changes in gene expression and isoform ratios in the kinome of metastatic melanoma cells relative to primary tumors. We contrast 538 total kinases and 3042 known kinase isoforms between 103 primary tumor and 367 metastatic samples from The Cancer Genome Atlas (TCGA). We find strong evidence of differential expression (DE) at the gene level in 123 genes (23%). Additionally, of the 468 genes with alternative isoforms, 60 (13%) had differential isoform ratios (DIR). Notably, DE and DIR have little correlation; for instance, although DE highlights enrichment in receptor tyrosine kinases (RTKs), DIR identifies altered splicing in non-receptor tyrosine kinases (nRTKs). Using exon junction mapping, we identify five examples of splicing events favored in metastatic samples.We cluster isoform expression data and identify subgroups that correlate with genomic subtypes and anatomic tumor locations. Notably, distinct DE and DIR patterns separate samples with BRAF hotspot mutations and (N/K/H)RAS hotspot mutations, the latter of which lacks effective kinase inhibitor treatments. DE in RAS mutants concentrates in CMGC kinases (a group including cell cycle and splicing regulators) rather than RTKs as in BRAF mutants. Furthermore, isoforms in the RAS kinase subgroup show enrichment for cancer-related processes such as angiogenesis and cell migration. Our results reveal a new approach to therapeutic target identification and demonstrate how different mutational subtypes may respond differently to treatments highlighting possible new driver events in cancer.
The Low Complexity Domain of the FUS RNA Binding Protein Self-assembles via the Mutually Exclusive Use of Two Distinct Cross-β Cores
Authors: Kato Masato , McKnight Steven L. 
Published: August 2021

AbstractThe low complexity (LC) domain of the fused in sarcoma (FUS) RNA binding protein self-associates in a manner causing phase separation from an aqueous environment. Incubation of the FUS LC domain under physiologically normal conditions of salt and pH leads to rapid formation of liquid-like droplets that mature into a gel-like state. Both examples of phase separation have enabled reductionist biochemical assays allowing discovery of an N-terminal region of 56 residues that assembles into a labile, cross-β structure. Here we provide evidence of a non-overlapping, C-terminal region of the FUS LC domain that also forms specific cross-β interactions. We propose that biologic function of the FUS LC domain may operate via the mutually exclusive use of these N- and C-terminal cross-β cores. Neurodegenerative disease-causing mutations in the FUS LC domain are shown to imbalance the two cross-β cores, offering an unanticipated concept of LC domain function and dysfunction.Significance StatementSingle amino acid changes causative of neurologic disease often map to the cross-β forming regions of low complexity (LC) domains. All such mutations studied to date lead to enhanced avidity of cross-β interactions. The LC domain of the fused in sarcoma (FUS) RNA binding protein contains three different regions that are capable of forming labile cross-β interactions. Here we describe the perplexing effect of amyotrophic lateral sclerosis (ALS)-causing mutations localized to the LC domain of FUS to substantially weaken its ability to form one of its three cross-β interactions. An understanding of how these mutations abet uncontrolled polymerization of the FUS LC domain may represent an important clue as to how LC domains achieve their proper biological function.
Brain Laterality Dynamics Support Human Cognition
Authors: Wu Xinran , Kong Xiangzhen , Vatansever Deniz , Liu Zhaowen , Zhang Kai , Sahakian Barbara J , Robbins Trevor W , Feng Jianfeng , Thompson Paul , Zhang Jie 
Published: August 2021

AbstractHemispheric lateralization constitutes a core architectural principle of human brain organization underlying cognition, often argued to represent a stable, trait-like feature. However, emerging evidence underlines the inherently dynamic nature of brain networks, in which time-resolved alterations in functional lateralization remain uncharted. Integrating dynamic network approaches with the concept of hemispheric laterality, we map the spatiotemporal architecture of whole-brain lateralization in a large sample of high-quality resting-state fMRI data (N=991, Human Connectome Project). We reveal distinct laterality dynamics across lower-order sensorimotor systems and higher-order associative networks. Specifically, we expose two aspects of the laterality dynamics: laterality fluctuations, defined as the standard deviation of laterality time series, and laterality reversal, referring to the number of zero-crossings in laterality time series. These two measures are associated with moderate and extreme changes in laterality over time, respectively. While laterality fluctuations depict positive association with language function and cognitive flexibility, laterality reversal shows a negative association with the same neurocognitive factors. These opposing interactions indicate a dynamic balance between intra- and inter-hemispheric communication, i.e., segregation and integration of information across hemispheres. Furthermore, in their time-resolved laterality index, the default-mode and language networks correlate negatively with visual/sensorimotor and attention networks, indicating flexible while parallel processing capabilities that are linked to better out-of-scanner cognitive performance. Finally, the laterality dynamics correlate with regional metabolism and structural connectivity and showed significant heritability. Our results provide insights into the adaptive nature of the lateralized brain and new perspectives for future studies of human cognition, genetics and brain disorders.
Stock market returns and liquidity during the COVID-19 outbreak: evidence from the financial services sector in Vietnam
Authors: Nguyen Cuong Thanh , Hai Phan Thanh , Nguyen Huyen Khanh 
Published: August 2021

PurposeThis paper aims to explore the influence of the COVID-19 outbreak and the Government's disease control measures on the stock returns and liquidity of Vietnam-listed companies in the financial services sector.Design/methodology/approachThe authors have conducted a panel data regression analysis using data from 50 banking, insurance and finance companies listed in Vietnam's two biggest stock exchanges (HNX and HOSE) within the period from January 30th, 2020 to May 15th, 2021.FindingsThe regression results indicate that the daily growth in the total number of confirmed cases caused by COVID-19 has significant negative effects on the stock market returns and liquidity. Nevertheless, the Government's imposition of lockdown yields significant and positive outcomes on stock performance. In addition, the study reveals remarkable differences in returns of large-cap and small-cap stocks under the impact of the COVID-19 pandemic.Research limitations/implicationsThe study indicates government and regulators should act more actively to limit the outbreak of the virus, improve investor confidence as well to support the financial services industry and deal with the outbreak of the pandemic later.Originality/valueThis is the first study to explore the influence of the COVID-19 outbreak and the Government's disease control measures on the stock returns and liquidity of Vietnam-listed companies in the financial services industry.
The relationship between work engagement and workaholism: a systematic review and meta-analysis
Authors: Lee Yunsoo , Lee Jae Young , Lee Jin 
Published: August 2021

Purpose
The purpose of this study is to clarify the relationship between two sub-constructs of heavy work investment: work engagement and workaholism.

Design/methodology/approach
The authors conducted a systematic review and meta-analysis to synthesize and critically assess existing research on the relationship between these concepts.

Findings
The review revealed three major shortcomings of the extant literature: a dichotomous perspective, variations in measurements and the unaddressed complexity of the relationship.

Originality/value
Based on these findings, this study provides a discussion on the limitations and suggestions for future research on work engagement and workaholism, including using a person-centered approach.
Constructing meanings of luxury in Airbnb
Authors: Farmaki Anna , Spanou Elena , Christou Prokopis 
Published: August 2021

Purpose
Following Airbnb’s recent turn to the luxury market, this paper aims to explore how Airbnb hosts construct meanings of luxury as enacted in their hosting practices.

Design/methodology/approach
Semi-structured interviews with 46 Airbnb hosts were undertaken using purposing sampling.

Findings
Study findings reveal that social and personal meanings of luxury manifest in host practice, with “home feeling” representing the epicentre of the luxury peer-to-peer (P2P) accommodation experience.

Research limitations/implications
Although this study draws from host views, it represents a first attempt to empirically examine perceptions and applications of luxury within P2P accommodation. The study provides a conceptual framework which may serve as a point of departure for further research into which luxury service dimensions guests value.

Practical implications
The findings of the study carry implications to the wider hospitality context. Specifically, hospitality practitioners need to reconceptualize luxury hospitality provision to promote a “homotel” accommodation model which highlights the offering of physical and social luxury dimensions in addition to elements of personalized service and home-like hedonic benefits.

Originality/value
The study offers a conceptual framework of the luxury P2P accommodation servicescape, which identifies two distinct luxury offerings that may be informative to both P2P accommodation providers and hospitality practitioners.
Perceived unfairness of revenue management pricing: developing a measurement scale in the context of hospitality
Authors: Meatchi Sourou , Camus Sandra , Lecointre-Erickson Danielle 
Published: August 2021

PurposeThis paper aims to offer a multi-dimensional scale for measuring the concept of perceived unfairness of revenue management pricing (RMP) in the context of hospitality.Design/methodology/approachTo develop a measurement scale for the perceived unfairness of RMP, the authors conducted a qualitative study using the critical incident technique to identify the key components of our measurement tool. They then collected two samples of quantitative data enabling them to have compelling evidence of the scale’s reliability and validity.FindingsThis research identified three dimensions of perceived unfairness of RMP in the context of hospitality: perceived normative deviation, perceived opacity and negative effects. The new scale proposed here is an alternative measurement instrument that could be useful for detecting and correcting some negative aspects of RMP.Practical implicationsThis measurement scale will help hotel managers to detect potential feelings of unfairness in relation to the RMP policies. It might also be used within the framework of market analyses and pricing strategy plans. Finally, the results of this research show that transparency, fairness and ethics based pricing could help hotel managers increase their revenue-per-available-room during and post COVID-19 pandemic.Originality/valueThis research develops a complete measurement scale for perceived unfairness of RMP, including cognitive and affective dimensions. The richness of this scale will help hospitality companies effectively identify the indicators that denote perceived unfairness of RMP, making them better equipped to handle customer dissatisfaction.
Customer mistreatment and employee customer-focused voice: the bright and dark sides of felt trust
Authors: Huang Yung-Kuei , Kwok Linchi 
Published: August 2021

PurposeThis study aims to assess a moderated-mediation model to account for the relationship between customer mistreatment and frontline hotel employees’ customer-focused voice, where their organization-based self-esteem (OBSE) served as a mediator and their felt trust (reliance and disclosure) by supervisors served as a moderator.Design/methodology/approachThe data were collected through paper-based questionnaires in a cross-sectional survey, consisting of 319 valid supervisor-employee-paired responses from 33 international tourist hotels in Taiwan. Regression analyses were used for hypothesis testing.FindingsOBSE mediates the negative effect of customer mistreatment on customer-focused voice. Employee felt reliance intensifies the negative impact of customer mistreatment on OBSE, and this interaction effect, in turn, reduces customer-focused voice through OBSE. The employee felt disclosure marginally significantly buffers the effect of customer mistreatment on OBSE.Practical implicationsGiven the adverse effect of customer mistreatment on customer-focused voice through OBSE, hotels should strengthen employees’ service mindset and value their suggestions. The double-edged effects of felt trust suggest that managers should form a trusting relationship with their subordinates and reassure them that isolated incidents of customer mistreatment will not jeopardize their reputation.Originality/valueThis study integrated sociometer and self-consistency theories to examine OBSE as a psychological mechanism to explain the mistreatment-voice process. Besides assessing felt trust’s two-dimensional effects, this research is possibly the first attempt to examine felt trust as an enabling force or a threat to OBSE in the context of customer mistreatment.
How Rude! Linking supervisor incivility to subordinates’ discretionary work effort
Authors: Anjum Muhammad Adeel , Ahmed Ammarah , Zhang Lin , Durrani Dilawar Khan 
Published: August 2021

PurposeAlthough past research has looked into myriad consequences of workplace incivility, little attention has been paid to the effects of supervisor incivility (SI) on employees’ sense of vitality and their discretionary work effort (DWE). Moreover, the mechanisms that drive the harmful effects of SI remain largely unknown. The current study seeks to address these gaps in the literature. In particular, this study aims to examine how SI culminates in decreased DWE.Design/methodology/approachAdopting a cross-sectional survey design, data for this study were gathered from 151 employees of two large companies in the financial services sector of Pakistan. A number of analysis techniques (e.g. confirmatory factor analysis and bootstrapping) were used to analyze the data.FindingsAs predicted, SI was found to be negatively associated both with subordinates’ sense of vitality and DWE while vitality was found to be positively associated with DWE. Findings also indicated that one way in which SI negatively affects subordinates’ DWE is by decreasing their sense of vitality.Practical implicationsThis study offers several useful implications for management practice in relation to preventing SI and mitigating its effects and bolstering employees’ sense of vitality.Originality/valueTo the best of the knowledge, this study is the first to unpack the relationship dynamics of SI, vitality and DWE, and to introduce a mechanism by which SI translates into reduced DWE.
Mapping terrorism in the academic landscape of business field of study: a bibliometric study of the past 30 years
Authors: Klona Maria , Menzies Jane , Zutshi Ambika 
Published: August 2021

PurposeTerrorism is as old as humanity itself, but its new form in the twenty-first century is adversely affecting the performance of businesses in both developing and developed countries. The purpose of this study is to identify and analyse the evolution and diffusion of academic knowledge on the topic of terrorism in business-related literature.Design/methodology/approachData was gathered from two databases, namely, the Scopus and Web of Science over 30 years (1990–2019). The search terms related to terrorism in titles, abstracts and authors’ keywords, which resulted in a total of 1,097 articles. Bibliometric methods, including a thematic and content analysis identifying main themes and using Gephi and VOSviewer software, were used to analyse the data.FindingsThe results reveal the productivity of the main actors, current thematic choices and future research opportunities. The main thematic areas of the research arising from the bibliometric analysis included the impact of terrorism on economic growth, Foreign Direct Investment, tourism, stock market reforms, security of multinational corporations as a result of terrorism and finally, the impact of political instability and terrorism on business. This study’s findings may guide the research of future academics and assist policy stakeholders in their strategic choices related to future business development.Research limitations/implicationsThe study has certain limitations that are inherent to the bibliometric methods or to the choices related to data collection and processing.Practical implicationsThis study recognised evolution and trends regarding the influence of terrorism on businesses, which is crucial information for the development of business and policy strategies in the future. These strategies should enhance the ability of businesses to cope with the negative effects of terrorism and make these effects less devastating. For academics, this study provides relevant insights on recent research trends in the field of terrorism in business and emerging future academic thematic opportunities.Social implicationsThe findings of the study indicate that issues of terrorism in business have broader social implications, which both academia and policy stakeholders can attend with their work.Originality/valueThis bibliometric review offers new insights into terrorism from the business lens by identifying the common streams of research in the field, along with the key journals, articles, countries, institutions, authors, data sources and networks in this field. The future research directions in this field of knowledge are also articulated in the study.
Data quality for federated medical data lakes
Authors: Eder Johann , Shekhovtsov Vladimir A. 
Published: August 2021

Purpose
Medical research requires biological material and data collected through biobanks in reliable processes with quality assurance. Medical studies based on data with unknown or questionable quality are useless or even dangerous, as evidenced by recent examples of withdrawn studies. Medical data sets consist of highly sensitive personal data, which has to be protected carefully and is available for research only after the approval of ethics committees. The purpose of this research is to propose an architecture to support researchers to efficiently and effectively identify relevant collections of material and data with documented quality for their research projects while observing strict privacy rules.

Design/methodology/approach
Following a design science approach, this paper develops a conceptual model for capturing and relating metadata of medical data in biobanks to support medical research.

Findings
This study describes the landscape of biobanks as federated medical data lakes such as the collections of samples and their annotations in the European federation of biobanks (Biobanking and Biomolecular Resources Research Infrastructure – European Research Infrastructure Consortium, BBMRI-ERIC) and develops a conceptual model capturing schema information with quality annotation. This paper discusses the quality dimensions for data sets for medical research in-depth and proposes representations of both the metadata and data quality documentation with the aim to support researchers to effectively and efficiently identify suitable data sets for medical studies.

Originality/value
This novel conceptual model for metadata for medical data lakes has a unique focus on the high privacy requirements of the data sets contained in medical data lakes and also stands out in the detailed representation of data quality and metadata quality of medical data sets.