bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adipose-tissue derived signals control bone remodelling
Authors: Madel Maria-Bernadette , Fu He , Pierroz Dominique D. , Schiffrin Mariano , Winkler Carine , Wilson Anne , Pochon Cécile , Toffoli Barbara , Jouzeau Jean-Yves , Gilardi Federica , Ferrari Serge , Bonnet Nicolas , Blin-Wakkach Claudine , Desvergne Béatrice , Moulin David 
Published: March 2020

SummaryLong bones from mammals host blood cell formation and contain multiple cell types, including adipocytes. Physiological functions of bone marrow adipocytes are poorly documented. Herein, we used adipocyte-deficient PPARγ-whole body null mice to investigate the consequence of total adipocyte deficiency on bone homeostasis in mice. We first highlight the dual bone phenotype of PPARγ null mice: on the one hand the increase bone formation and subsequent trabecularization extending in the long bone diaphysis, due to the well-known impact of PPARγ deficiency on osteoblasts formation and activity; on the other hand, an increased osteoclastogenesis in the cortical bone. We then further explore the cause of this unexpected increased osteoclastogenesis using two independent models of lipoatrophy, which recapitulated this phenotype. This demonstrates that hyperosteoclastogenesis is not intrinsically linked to PPARγ deficiency, but is a consequence of the total lipodystrophy. We further showed that adiponectin, a cytokine produced by adipocytes and mesenchymal stromal cells is a potent inhibitor of osteoclastogenesisin vitroandin vivo. Moreover, pharmacological activation of adiponectin receptors by the synthetic agonist AdipoRon inhibits mature osteoclast activity both in mouse and human cells by blocking podosome formation through AMPK activation. Finally, we demonstrated that AdipoRon treatment blocks bone erosion in vivo in a murine model of inflammatory bone loss, providing potential new approaches to treat osteoporosis.
Evidence for host-dependent RNA editing in the transcriptome of SARS-CoV-2
Authors: Di Giorgio Salvatore , Martignano Filippo , Torcia Maria Gabriella , Mattiuz Giorgio , Conticello Silvestro G. 
Published: March 2020

AbstractThe COVID-19 outbreak has become a global health risk and understanding the response of the host to the SARS-CoV-2 virus will help to contrast the disease. Editing by host deaminases is an innate restriction process to counter viruses, and it is not yet known whether it operates against Coronaviruses. Here we analyze RNA sequences from bronchoalveolar lavage fluids derived from infected patients. We identify nucleotide changes that may be signatures of RNA editing: Adenosine-to-Inosine changes from ADAR deaminases and Cytosine-to-Uracil changes from APOBEC ones. A mutational analysis of genomes from different strains of human-hosted Coronaviridae reveals mutational patterns compatible to those observed in the transcriptomic data. Our results thus suggest that both APOBECs and ADARs are involved in Coronavirus genome editing, a process that may shape the fate of both virus and patient.For the casual ReaderJust to make a few things clear:
- RNA editing and DNA editing are PHYSIOLOGICAL processes. Organisms uses them to (a) try to fight viruses, (b) increase heterogeneity inside cells (on many levels), (c) recognise their own RNA.- our work suggests that: (a) cells use RNA editing in trying to deal with Coronaviruses. We don't know to what extent they succeed (and it would be nice if we could help them). (b) Whatever happens, mutations inserted by RNA editing fuel viral evolution. We don't know whether viruses actively exploit this.- If you (scientist or not) think our work suggests ANYTHING ELSE, contact us. It can be a first step to help fight these !@#$ coronavirus, or towards a Nobel prize - but we need to discuss it thoroughly.- If you think these cellular processes are fascinating, join the club and contact us. We can have a nice cup of tea while chatting how wondrous nature is at coming up with extraordinary solutions…
Conserved His-Gly motif of acid-sensing ion channels resides in a reentrant ‘loop’ implicated in gating and ion selectivity
Authors: Yoder Nate , Gouaux Eric 
Published: March 2020

ABSTRACTAcid-sensing ion channels (ASICs) are proton-gated members of the epithelial sodium channel/degenerin (ENaC/DEG) superfamily of ion channels and are expressed throughout central and peripheral nervous systems. The homotrimeric splice variant ASIC1a has been implicated in nociception, fear memory, mood disorders and ischemia. Here we extract full-length chicken ASIC1a (cASIC1a) from cell membranes using styrene maleic acid (SMA) copolymer, yielding structures of ASIC1a channels in both high pH resting and low pH desensitized conformations by single-particle cryo-electron microscopy (cryo-EM). The structures of resting and desensitized channels reveal a reentrant loop at the amino terminus of ASIC1a that includes the highly conserved ‘His-Gly’ (HG) motif. The reentrant loop lines the lower ion permeation pathway and buttresses the ‘Gly-Ala-Ser’ (GAS) constriction, thus providing a structural explanation for the role of the His-Gly dipeptide in the structure and function of ASICs.
Disturbance observer-based coordinated control for three dimensional formation of unmanned autonomous helicopter
Authors: Mei Rong 
Published: March 2020

PurposeThis paper aims to study the issue of the three-dimensional formation coordinated control for the unmanned autonomous helicopter (UAH) by using the sliding mode disturbance observer. Under the designed formation coordinated controller, the desired formation can be maintained and the closed-loop system stability is analyzed by using the Lyapunov theory.Design/methodology/approachConsidering the unknown time-varying external 10; disturbance in formation flight of UAHs, a sliding mode disturbance observer has been employed to estimate them.FindingsThis work is supported in part by the National Natural Science Foundation of China under Grant 61803207, and in part by the Fundamental Research Funds for the Central Universities under Grant LGZD201806.Originality/valueA sliding mode disturbance observer has been designed to estimate the unknown time-varying external disturbance in formation flight of UAHs. Aiming at the leading UAH maneuver in three-dimensional space during the formation flight progress, the formation coordinated controller has been proposed based on the output of the disturbance observer to maintain the formation.
Reference publication year spectroscopy (RPYS) of computer science papers from Eastern Europe
Authors: Fiala Dalibor , Bornmann Lutz 
Published: March 2020

PurposeThe current article presents the results of a case study dealing with the historical roots of Eastern European researchers in computer science.Design/methodology/approachThe study is based on an analysis of cited references stemming from a collection of around 80,000 computer science papers by Eastern European researchers published from 1989 to 2014. By using a method called “reference publication year spectroscopy” (RPYS) for historical analyses based on bibliometric data, we analyze around 800,000 references cited in those papers. The study identifies the peak years, including most frequently cited publications (from 1952, 1965 and 1975), and focuses on these outstanding works for the field. The research shows how these influential papers were cited in Eastern Europe and in general, and on which scientific fields they have the most impact.FindingsA noteworthy publication that seems to have a tremendous effect on Eastern European computer science is Zadeh's “Fuzzy sets” article which appeared in Information and Control in 1965. The study demonstrates that computer scientists from Eastern Europe are more conservative in their citation behaviour and tend to refer to older and more established research than their counterparts from the West.Originality/valueWhich are the historical roots of researchers working in a particular field or on a specific topic? Are there certain publications – landmark papers – which are important for their research? We guess that these are questions bothering researchers in many fields.
Committed to help: the effects of frequency of corporate donations on luxury brand evaluations
Authors: Sengabira Charmant Ndereyimana , Septianto Felix , Northey Gavin 
Published: March 2020

PurposeWhile luxury brands have increasingly pursued CSR activities such as corporate donations, this strategy may not be effective because there is an inherent mismatch between the concepts of “luxury” and CSR. The present research examines the effects of different types of donation strategies (frequency-focused vs. amount-focused).Design/methodology/approachTwo experimental studies were conducted. Study 1 provides initial evidence to our prediction that a frequency-focused strategy is beneficial for luxury (vs. non-luxury) brands to leverage their positive brand evaluations. Study 2 further replicates this using a different brand and establishes the underlying mechanism.FindingsFindings show that a frequency-focused strategy is beneficial for luxury (vs. non-luxury) brands to leverage their positive brand evaluations. This is because a frequency-focused strategy makes consumers perceive the luxury brand's commitment to help, which in turn reduces consumers’ skepticism toward their CSR activities.Originality/valueThe study illustrates a novel mechanism that shows when and how different corporate donations influence luxury brand evaluations.
Social capital and livelihood strategies in response after 2013 Kedarnath disaster (India)
Authors: Naithani Sakshi , Saha Ashis Kumar 
Published: March 2020

PurposeThe purpose of this paper is to demonstrate the role of livelihood assets, strategies and local social networks in disaster response and recovery in post-disaster setting of 2013 Kedarnath disaster (India).Design/methodology/approachIt identifies post disaster macro-spaces of Mandakini river valley (India) using change detection analysis and secondary data. Within these macro-spaces, the micro spaces of livelihood and social capital were assessed by selecting two villages for case study.FindingsMost important issues faced by communities were loss of lives, livelihoods and access to relief aid. A shift in economic base of families suffering loss of livelihoods was observed as they switched from pilgrimage-based to skill-based opportunities. Geographical location and isolation play a crucial role in recovery trajectory of villages by influencing the social capital.Research limitations/implicationsThe paper being case study based deals two of the worst-affected villages; livelihood strategies adopted and social network may be influenced by the “victim” status of villages and may not be generalized for each disaster-affected area.Social implicationsBridging and bonding networks were significant in geographically isolated places, while “linkages” were beneficial in bringing new livelihood opportunities. Need to enhance the role of social capital by institutional intervention in form of capacity building was required.Originality/valueThe study suggests focus on human capital-based livelihood diversification programs taking geographical location and disaster context into account.
Enabling academic entrepreneurship: the I-Corps experience
Authors: Al Haddad Serina , O'Neal Thomas , Batarseh Issa , Martoncik Amber 
Published: March 2020

PurposeThis paper addresses the significance of training students in entrepreneurship to enable sustained national and international competitiveness in the knowledge-based global marketplace. Entrepreneurial education is varied, ranging from basic to in-depth courses, including customer-focused programs, such as the National Science Foundation (NSF) sponsored Innovation Corps (I-Corps) program. This program is nationally-renowned with strong academic roots. A full site was launched at the University of Central Florida (UCF) in January 2015 and was the first I-Corps program in the state of Florida.Design/methodology/approachThis paper addresses the importance of entrepreneurship education, reviews the available national training programs in entrepreneurship, presents the design methodology of the NSF I-Corps program, and analyzes the results of the teams who have participated in the NSF I-Corps program.FindingsThe results are categorized into innovative areas and show the percentage of teams who participated in the I-Corps program in each area. It also identifies the percentage of teams who engaged in actual startup activities following I-Corps participation.Practical implicationsEducators, students, and trainers can use the findings to benchmark the outcomes of training programs in entrepreneurship. Students and innovators interested in participating in I-Corps can use this paper to obtain insights and a broader understanding of what was done in terms of results and implications.Originality/valueThis paper contributes a unique analysis of the I-Corps program approach and its outcomes since its launch in 2015 and can be used as a reference for any training program in entrepreneurship.
Predicting employee attrition using tree-based models
Authors: El-Rayes Nesreen , Fang Ming , Smith Michael , Taylor Stephen M. 
Published: March 2020

Purpose
The purpose of this study is to develop tree-based binary classification models to predict the likelihood of employee attrition based on firm cultural and management attributes.

Design/methodology/approach
A data set of resumes anonymously submitted through Glassdoor’s online portal is used in tandem with public company review information to fit decision tree, random forest and gradient boosted tree models to predict the probability of an employee leaving a firm during a job transition.

Findings
Random forest and decision tree methods are found to be the strongest attrition prediction models. In addition, compensation, company culture and senior management performance play a primary role in an employee’s decision to leave a firm.

Practical implications
This study may be used by human resources staff to better understand factors which influence employee attrition. In addition, techniques developed in this study may be applied to company-specific data sets to construct customized attrition models.

Originality/value
This study contains several novel contributions which include exploratory studies such as industry job transition percentages, distributional comparisons between factors strongly contributing to employee attrition between those who left or stayed with the firm and the first comprehensive search over binary classification models to identify which provides the strongest predictive performance of employee attrition.
The impact of social media signals on supplier selection: insights from two experiments
Authors: Banerjee Aneesh , Ries Jörg M. , Wiertz Caroline 
Published: March 2020

PurposeOnline B2B markets offer buyers a new source of information provided by social media signals about suppliers. These signals have not yet received much attention in the supplier selection literature. This study advances our understanding of how buyers respond to social media signals in the supplier selection process.Design/methodology/approachWe develop a choice-based conjoint experimental design to isolate and manipulate two signals from social media: volume (the number of ratings) and valence (average evaluation of the ratings). We test how these signals are interpreted in the context of varying deal sizes and price points.FindingsBoth volume and valence are positively correlated with supplier selection. However, (1) the signals exhibit diminishing returns and (2) the efficacy of valence is interpreted in the context of volume. We also find that (3) there is no influence of the deal size and that (4) the relationships between signals and supplier selection are negatively moderated by deviations from the reference price.Research limitations/implicationsSocial media signals should be considered in supplier selection decisions as they convey valuable information to the buyer. However, signals go through a process of interpretation which has implications for buyers, suppliers, and owners of online B2B markets.Originality/valueOur research opens new lines of inquiry in behavioural operations management research regarding the mechanisms by which buyers interpret social media signals and how these ultimately influence their choice.
Validation of employees' self-leadership using exploratory and confirmatory factor analysis
Authors: Na-Nan Khahan , Saribut Salitta 
Published: March 2020

PurposeSelf-leadership (SL) involves the strategic management of people's perceptions and behaviours to enable them to set directions, identify their needs and work effectively. Here, an instrument was developed to measure SL of employees, organisations and managers in Thailand context.Design/methodology/approachQuestions were developed for a questionnaire based on concepts and theories and validated using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) along four performance dimensions. Research samples were employees in the accommodation industry in Thailand. Factor analysis results confirmed the questionnaire as a reliable SL instrument with acceptable composite reliability (CR), average variance extracted (AVE) and convergent and discriminant validity.FindingsFour factors of SL were identified as self-visualising and goal setting, self-reward and positive thinking, self-observation and cueing and self-talking and evaluating beliefs comprising 21 items. Factor analysis confirmed the validity of the questionnaire as a reliable SL tool as evidenced by a CR of 0.811 and AVE of 0.526 with acceptable convergent and discriminant validity criteria.Research limitations/implicationsResults were limited to a single group sample of accommodation and cross-sectional design and should be carefully considered for application in different situations.Practical implicationsFindings regarding the four performance dimensions suggest that this SL scale questionnaire can be applied to different businesses and settings either as is or with slight modifications.Originality/valueOur SL scale is novel and serves as an excellent instrument to measure the behavioural perception of employees.
Retirement concerns and financial literacy in Brunei
Authors: Pg Hj Md Salleh Pg Md Hasnol Alwee , Baha Roslee 
Published: March 2020

PurposeDespite the inclusion of financial literacy in retirement studies, there are limited studies that look into retirement concerns and how financial literacy plays a role in managing retirement concerns. Understanding retirement concerns prior to retirement is important given how it affects retirement satisfaction. Therefore, this paper aims at assessing the retirement concerns in Brunei and the role of financial literacy in managing those concerns.Design/methodology/approach700 government employees, divided into three groups, were interviewed: Defined Contribution Plan (DCP) employees retiring in the next 10–15 years, DCP employees retiring in 20–30 years' time and Defined Benefit Plan (DBP) employees retiring in the next 10 years. Pearson's chi-square tests and logistic regressions were used to ascertain significant relationships.FindingsThe results indicate the relatively younger DCP group is more likely to be financially literate compared to senior groups however, these respondents are more inclined to focus on private home ownership at this juncture. The findings also indicate the importance of knowing how much to save for retirement towards determining those with an additional retirement plan, and consequently reducing their retirement concerns. The value of financial advice is also significant in determining the amount to save for retirement and in possessing an additional retirement plan.Research limitations/implicationsResults cannot be generalised to the population, as purposive sampling was utilised due to the absence of a population frame.Practical implicationsThe implications of the paper may provide value to policymakers to consider approaches to enhance the quality of financial advice and provide sound knowledge in computing the amount needed for retirement. Understanding the role of financial literacy vis-à-vis retirement concerns may also be useful for neighbouring countries with similar socio-cultural aspects such as Malaysia.Originality/valueGiven the limited research on retirement concerns and financial literacy, this paper is one of the few to emphasise on the importance of knowing how much is needed to save for retirement, in relation to retirement concerns. This may also be useful in other countries/communities with similar retirement context such as those with relatively low retirement planning or with similar retirement schemes. Further, with the 1993 pension reform, there is no known publication on retirement concerns and expectations in Brunei. Left unchecked, it may lead to poverty in old age and/or dependency on welfare institutions and family support.
Key competencies for big data analytics professions: a multimethod study
Authors: Persaud Ajax 
Published: March 2020

PurposeThis study aims to identify the precise competencies that employers are seeking for big data analytics professions and whether higher education big data programs enable students to acquire the competencies.Design/methodology/approachThis study utilizes a multimethod approach involving three data sources: online job postings, executive interviews and big data programs at universities and colleges. Text mining analysis guided by a holistic competency theoretical framework was used to derive insights into the required competencies.FindingsWe found that employers are seeking workers with strong functional and cognitive competencies in data analytics, computing and business combined with a range of social competencies and specific personality traits. The exact combination of competencies required varies with job levels and tasks. Executives clearly indicate that workers rarely possess the competencies and they have to provide additional training.Research limitations/implicationsA limitation is our inability to capture workers' perspectives to determine the extent to which they think they have the necessary competencies.Practical implicationsThe findings can be used by higher educational institutions to design programs to better meet market demand. Job seekers can use it to focus on the types of competencies they need to advance their careers. Policymakers can use it to focus policies and investments to alleviate skills shortages. Industry and universities can use it to strengthen their collaborations.Social implicationsMuch closer collaborations among public institutions, educational institutions, industry, and community organizations are needed to ensure training programs evolve with the evolving need for skills driven by dynamic technological changes.Originality/valueThis is the first study on this topic to adopt a multimethod approach incorporating the perspectives of the key stakeholders in the supply and demand of skilled workers. It is the first to employ text mining analysis guided by a holistic competency framework to derive unique insights.