bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of ATAC-Seq for genome-wide analysis of the chromatin state at single myofiber resolution
Authors: Sahinyan Korin , Blackburn Darren M. , Simon Marie-Michelle , Lazure Felicia , Kwan Tony , Bourque Guillaume , Soleimani Vahab D. 
Published: June 2021

ABSTRACTSkeletal myofibers are the main components of skeletal muscle which is the largest tissue in the body. Myofibers are highly adaptive in nature and they can vary in different biological and disease conditions. Therefore, transcriptional and epigenetic studies on myofibers are crucial to discover how chromatin alterations occur in the skeletal muscle under different conditions. However, due to the heterogenous nature of skeletal muscle, studying myofibers in isolation proves to be a challenging task. Single cell sequencing has permitted for the study of the epigenome of isolated myonuclei. While this provides sequencing with high dimensionality, the sequencing depth is lacking, which makes comparisons between different biological conditions difficult. Here we report the first implementation of single myofiber ATAC-Seq, which permits for the sequencing of an individual myofiber at a depth sufficient for peak calling and for comparative analysis of chromatin accessibility under various physiological, physical and disease conditions. Application of this technique revealed significant differences in chromatin accessibility between resting and regenerating myofibers. This technique can lead to wide application in identifying chromatin regulatory elements and epigenetic mechanisms in muscle fibers during development and in muscle-wasting diseases.
Regulation of auditory fear discrimination by the novel Kv3 voltage-gated potassium channel modulator AUT00206
Authors: Stubbendorff Christine , Hale Ed , Day Harriet L.L. , Smith Jessica , Alvaro Giuseppe S. , Large Charles H. , Stevenson Carl W. 
Published: June 2021

AbstractPsychiatric diseases like anxiety-related disorders and schizophrenia are characterized by impaired cognition and emotional regulation linked to corticolimbic disinhibition. Restoring the balance between excitation and inhibition in corticolimbic circuits may therefore ameliorate certain features of these disorders, such as inappropriately attributing affective salience to innocuous cues. Corticolimbic activity is tightly controlled by parvalbumin-expressing GABAergic interneurons, which also regulate fear discrimination. The voltage-gated potassium channels Kv3.1 and Kv3.2 are highly expressed in these neurons, therefore Kv3.1/3.2 modulation may have potential for treating disorders associated with cognitive and emotional dysregulation. We determined the effects of the novel Kv3.1/3.2 positive modulator AUT00206 on fear discrimination. Female rats underwent limited or extended auditory fear discrimination training that we previously showed leads to discrimination or generalization, respectively, based on passive fear responding (i.e. freezing). We also assessed darting as an active fear response. We found that limited training resulted in discrimination based on freezing, which was unaffected by AUT00206. In contrast, we found that extended training resulted in generalization based on freezing and the emergence of discrimination based on darting. Importantly, AUT00206 had dissociable effects on fear discrimination and expression with extended training. While AUT00206 mitigated generalization without affecting expression based on freezing, it reduced expression without affecting discrimination based on darting. Our results indicate that Kv3.1/3.2 modulation regulates the attribution of affective significance to threat- and safety-related cues in a response-specific manner. This suggests that targeting Kv3.1 and Kv3.2 channels may provide a promising avenue for treating cognitive and emotional dysregulation in psychiatric disease.
Action inhibition revisited: a new method identifies compromised reactive but intact proactive control in Tourette disorder
Authors: Indrajeet Indrajeet , Atkinson-Clement Cyril , Worbe Yulia , Pouget Pierre , Ray Supriya 
Published: June 2021

ABSTRACTTourette disorder (TD) is characterized by tics, which are sudden repetitive involuntary movements or vocalizations. Deficits in inhibitory control in TD patients remain inconclusive from the traditional method of estimating the ability to stop an impending action, which requires careful interpretation of a parameter derived from race model. One possible explanation for these inconsistencies is that race model’s assumptions are often violated. Here, we used a pair of metrics derived from a recent alternative model to address why stopping performance in TD patients is unaffected by impairments in neural circuitry. These new metrics distinguish between proactive and reactive inhibitory control and estimate them separately. When these metrics were contrasted with healthy controls (HC), we identified robust deficits in reactive control in TD patients, but not in proactive control. The patient population exhibited difficulty in slowing down the speed of movement planning, which they compensated by their intact ability of procrastination.TEASERTourette disorder patients inhibit action by means of strategic postponement to compensate impaired slowness in preparation.
Prediction of survival after partial hepatectomy using a physiologically based pharmacokinetic model of indocyanine green liver function tests
Authors: Köller Adrian , Grzegorzewski Jan , Tautenhahn Hans-Michael , König Matthias 
Published: June 2021

ABSTRACTThe evaluation of hepatic function and functional capacity of the liver are essential tasks in hepatology as well as in hepatobiliary surgery. Indocyanine green (ICG) is a widely applied test compound that is used in clinical routine to evaluate hepatic function. Important questions for the functional evaluation with ICG in the context of hepatectomy are how liver disease such as cirrhosis alters ICG elimination, and if postoperative survival can be predicted from preoperative ICG measurements. Within this work a physiologically based pharmacokinetic (PBPK) model of ICG was developed and applied to the prediction of the effects of a liver resection under various degrees of cirrhosis. For the parametrization of the computational model and validation of model predictions a database of ICG pharmacokinetic data was established. The model was applied (i) to study the effect of liver cirrhosis and liver resection on ICG pharmacokinetics; and (ii) to evaluate the model-based prediction of postoperative ICG-R15 as a measure for postoperative outcome. Key results are the accurate prediction of changes in ICG pharmacokinetics caused by liver cirrhosis and postoperative changes of ICG-elimination after liver resection, as validated with a wide range of data sets. Based on the PBPK model, individual survival after liver resection could be classified, demonstrating its potential value as a clinical tool.
The TR locus annotation and characteristics of Rhinolophus ferrumequinum
Authors: Zhou Hao , Ma Long , Liu Longyu , Yao Xinsheng 
Published: June 2021

AbstractT cell antigen receptors (TCRs) in vertebrate could be divided into αβ or γδ, which are encoded by TRA/D, TRG and TRB loci respectively. TCRs play a central role in mammal cellular immunity, which are functionally produced by rearrangement of V gene, D gene, J gene and C gene in the loci. Bat is the only mammal with flying ability, and is considered as the main host of zoonotic virus, which occupies an important position in the field of public health. At present, little is known about the composition of bat TRs gene. According to the whole genome sequencing results of the Rhinolophus ferrumequinum, and referring to the TR/IG annotation rules formulated by IMGT. We make a complete annotation on the TRA/D, TRG and TRB loci of the Rhinolophus ferrumequinum. A total of 128 V segments, 3 D segments, 85 J segments and 6 C segments were annotated, in addition to compared with the known mammalian, the characteristics of the TRs locus and germline genes of the Rhinolophus ferrumequinum were analyzed.
Imaging of small penetrable obstacles based on the topological derivative method
Authors: Fernandez Lucas , Prakash Ravi 
Published: June 2021

PurposeThe purpose of this paper is to present topological derivatives-based reconstruction algorithms to solve an inverse scattering problem for penetrable obstacles.Design/methodology/approachThe method consists in rewriting the inverse reconstruction problem as a topology optimization problem and then to use the concept of topological derivatives to seek a higher-order asymptotic expansion for the topologically perturbed cost functional. Such expansion is truncated and then minimized with respect to the parameters under consideration, which leads to noniterative second-order reconstruction algorithms.FindingsIn this paper, the authors develop two different classes of noniterative second-order reconstruction algorithms that are able to accurately recover the unknown penetrable obstacles from partial measurements of a field generated by incident waves.Originality/valueThe current paper is a pioneer work in developing a reconstruction method entirely based on topological derivatives for solving an inverse scattering problem with penetrable obstacles. Both algorithms proposed here are able to return the number, location and size of multiple hidden and unknown obstacles in just one step. In summary, the main features of these algorithms lie in the fact that they are noniterative and thus, very robust with respect to noisy data as well as independent of initial guesses.
College majors and wages in Turkey: OLS and quantile regression with sample selection correction
Authors: Ciftci Cemil , Ulucan Hakan 
Published: June 2021

PurposeThis study aims to analyze the wage differentials of the majors in college education in Turkey, which is a country implementing an ongoing expansion in college education in recent years.Design/methodology/approachThe study implements Mincreian wage regression using ordinary least squares, Heckman two-step estimation and quantile regression with sample selection correction by using household labor force surveys of TurkStat from the years 2014–2017.FindingsThe findings indicate one of the highest heterogeneity, close to 0.50 log points, between majors in the literature. The within-heterogeneity created by majors is highest among the graduates of social-behavioral sciences, law, biology, physics, mathematics, statistics, computer, engineering and manufacturing, as shown by a 90–10 difference, which is almost 700% for some of these majors. This study shows that the natural science and technical majors that are expected to be more productive and to be paid more fall behind in the wage distribution.Research limitations/implicationsEstimation results show that natural science majors, except for subjects allied to medicine and engineering, are paid lower than law and service-sector-related majors. This indicates that the predictions of the skill-biased technical change hypothesis are not valid in the wage profiles in Turkey and that some majors supply more than the sectoral needs. This casts doubts on the effectiveness of the ongoing higher education expansion process of the country.Originality/valueThis study contributes to the literature on wage differentials of college majors, an area with limited studies. This is the first study analyzing wage differentials of the field of studies by correcting sample selection bias for the Turkish case.
Participation of nongovernmental organizations in Iran's health-care system: challenges and suggestions for improvement
Authors: Ebrahimi Parvin , Rajabi Mohanna , Aryankhesal Aidin 
Published: June 2021

PurposeNongovernmental organizations (NGOs) play a critical role in modern health-care systems complementing state organizations. The purpose of this paper is to investigate the challenges of NGOs' participation in Iran's health-care system.Design/methodology/approachThis qualitative study was conducted in 2020. Data were collected through semi-structured interviews with 26 participants: 11 managers and experts at the office of NGOs in the Ministry of Health (MOH) and universities of medical sciences and 15 chief executive officers (CEOs) of health-related NGOs in Tehran, Iran. The participants were chosen using the non-probabilistic approach of purposive sampling with maximum variation. Data analysis was performed using the thematic analysis method and MAXQDA 10 software.FindingsChallenges of NGOs' participation in Iran's health-care system are categorized into external and internal challenges. Financial issues, the process of getting permissions, lack of trust in NGOs, weak relationships with the public sector and lack of law are identified as main challenges. Building trust in NGOs, passing the NGOs' law, making people more familiar with NGOs and capacity development are the most important measures that improve the role of NGOs and resolve barriers to their participation in Iran's health-care system.Originality/valueIn this study, for the first time, the challenges of NGOs' participation in Iran's health-care system are investigated by examining the views of both the public sector and NGOs. Improving the participation of NGOs in the health-care system provides Iran's MOH with the opportunity to make use of the NGOs' capacities to eliminate public health issues.
Are artificial intelligence and machine learning suitable to tackle the COVID-19 impacts? An agriculture supply chain perspective
Authors: Nayal Kirti , Raut Rakesh D. , Queiroz Maciel M. , Yadav Vinay Surendra , Narkhede Balkrishna E. 
Published: June 2021

PurposeThis article aims to model the challenges of implementing artificial intelligence and machine earning (AI-ML) for moderating the impacts of COVID-19, considering the agricultural supply chain (ASC) in the Indian context.Design/methodology/approach20 critical challenges were modeled based on a comprehensive literature review and consultation with experts. The hybrid approach of “Delphi interpretive structural modeling (ISM)-Fuzzy Matrice d' Impacts Croises Multiplication Applique'e à un Classement (MICMAC) − analytical network process (ANP)” was used.FindingsThe study's outcome indicates that “lack of central and state regulations and rules” and “lack of data security and privacy” are the crucial challenges of AI-ML implementation in the ASC. Furthermore, AI-ML in the ASC is a powerful enabler of accurate prediction to minimize uncertainties.Research limitations/implicationsThis study will help stakeholders, policymakers, government and service providers understand and formulate appropriate strategies to enhance AI-ML implementation in ASCs. Also, it provides valuable insights into the COVID-19 impacts from an ASC perspective. Besides, as the study was conducted in India, decision-makers and practitioners from other geographies and economies must extrapolate the results with due care.Originality/valueThis study is one of the first that investigates the potential of AI-ML in the ASC during COVID-19 by employing a hybrid approach using Delphi-ISM-Fuzzy-MICMAC-ANP.
Comparing education for sustainable development in initial teacher education across four countries
Authors: Evans Neus (Snowy) , Inwood Hilary , Christie Beth , Ärlemalm-Hagsér Eva 
Published: June 2021

PurposeThe purpose of this paper is to undertake a cross-comparative inquiry into Education for Sustainable Development (ESD) related to governance, initiatives and practices in initial teacher education (ITE) across four countries with very different contexts – Sweden, Scotland, Canada and Australia. It provides insights into issues arising internationally, implications for ESD in ITE and offers learnings for other countries and contexts.Design/methodology/approachA cross-comparative study design with overarching themes and within-case descriptions was applied to consider, compare and contrast governance characteristics, initiatives and practices from each context.FindingsThe approaches to governance, initiatives and practices that each country adopts are unique yet similar, and all four countries have included ESD in ITE to some extent. Comparing and contrasting approaches has revealed learnings focussed on ESD in relation to governance and regulation, practices and leadership.Research limitations/implicationsMaking comparisons between different contexts is difficult and uncertain and often misses the richness and nuances of the individual sites under study. However, it remains an important endeavour as the challenges of embedding ESD in ITE will be better understood and overcome if countries can learn from one another.Originality/valueScrutinising different approaches is valuable for broadening views about possibilities and understanding how policies and initiatives translate in practice.
Retail atmospherics and retail store patronage of supermarkets in emerging economies: mediating role of perceived service quality
Authors: Dokcen Charles , Obedgiu Vincent , Nkurunziza Gideon 
Published: June 2021

PurposeThe purpose of the study is to establish the mediating role of Perceived Service Quality on the relationship between Retail Atmospherics and Retail Store Patronage of Supermarkets in Emerging Economies using empirical evidence from Uganda.Design/methodology/approachThe study used a cross-sectional research design and quantitative approach to understand stand the structured reality of Retail Store Patronage of supermarkets in context of emerging economies. In the context of this study, the data were drawn from Uganda's supermarkets. A sample of 1,504 customers were selected from 136,270 customers. Data was collected from supermarket customers using closed ended questionnaire. Descriptive and inferential statistics were derived to describe the behavior of customers and draw conclusions on population using sample statistics. Correlation analysis was used to establish the degree of association between the variables. Hierarchical regression was applied to assess the unique contribution of each variable; control variables-income and age, predictor variables – Retail Atmospherics and Perceived Service Quality on dependent variable – Retail Store Patronage. Mediation was done following the four-step procedures of mediation of Baron and Kenny (1986).FindingsThe results revealed significant positive relationship between Retail Atmospherics, Perceived Service Quality and Retail Store Patronage, confirming the direct hypotheses. Perceived Service Quality partially mediated the relationship between Retail Atmospherics and Retail Store Patronage. The findings depict that Retail Store Patronage is influenced directly by Retail Atmospherics and indirectly through Perceived Service Quality as a mediating variable. However, in situations where the atmospherics is good but perceived service quality is poor, Retail Store Patronage may not be fully realized.Originality/valueThe study provides information that is relevant for filling the practical and theoretical gap in the Retail Store Patronage in Ugandan supermarkets. Previous research studies investigated patronage behavior of shoppers in single retail units yet there is paucity of research on patronage behavior across different retail formats in the world. This study can be generalized and have strategic implications to developing economies that seek to grow and sustain their businesses. It points to the gaps that are normally overlooked and could lead business failure. The focus of most previous studies were on developed economies more especially Europe and America. This study in particular focused on the role of perceived service quality in the relationship between retail atmospherics and customer retail store patronage in emerging economies like Uganda as a testing ground.
Addressing the COVID-19 challenges by SMEs in the hotel industry – a Czech sustainability message for emerging economies
Authors: MacGregor Pelikanova Radka , Cvik Eva Daniela , MacGregor Robert Kenyon 
Published: June 2021

Purpose
Emerging economies have to address positive challenges such as sustainability, digitalization, entrepreneurial readiness and planning and behavioral strategies and negative challenges, such as corruption and bureaucracy. The COVID-19 pandemic hit all economies and arguably made hotel businesses that are from less typical emerging economies, such as the Czech Small and medium-sized enterprises (SMEs), to deal with similar challenges to that of their counterparts from typical emerging economies. How do Czech hotel SMEs address the COVID-19 challenges and what sustainability message can be extracted from that with the relevance for not only businesses from emerging economies? The purpose of this paper is to explore how Czech hotel SMEs address the COVID-19 challenges and what sustainability.

Design/methodology/approach
A consolidated parsing of the literature, legislative and analytical framework, along with an investigative case study of 11 Czech hotel SMEs was performed, based on the questionnaire survey and semi-structured in-depth direct interviews. The holistic thematic analysis processed this fresh data and allowed Socratic questioning and glossing while addressing both research questions.

Findings
The performed case study reveals that typical challenges faced by entrepreneurs in emerging economies became, via COVID-19, universal challenges, these challenges are a valuable impulse for digitalization and changes of entrepreneurial strategies, but not so much for sustainability, and the omnipresent negative impact of corruption and bureaucracy.

Originality/value
This paper presents a pioneering study regarding the addressing COVID-19 and sustainability concerns by SMEs in a less typical emerging economy and offering a universal, partially comparative and sadly not so sustainable, message which is not just limited to emerging economies.
Impacts of psychological behaviors of managers on money laundering: evidence from Iran stock exchange
Authors: Saeidi Hadi 
Published: June 2021

Purpose
This study aims to investigate the impacts of the psychological behaviors of managers, including entrenchment, myopia, narcissism and overconfidence, on money laundering at Iranian companies listed on the Tehran Stock Exchange.

Design/methodology/approach
The present study is descriptive-correlational in terms of methodology and applied research in terms of objectives. The statistical population consisted of all companies listed on the Tehran Stock Exchange during 2013–2019. A total of 150 companies were selected as samples via screening. Logistic regression was used to analyze the data and test the hypotheses in EViews v10.

Findings
The findings revealed that management entrenchment, managerial myopia, managerial narcissism and managerial overconfidence have significant impacts on money laundering.

Originality/value
This study pioneer investigating the impacts of psychological behaviors among managers on money laundering in Iran. As an economic crime, money laundering poses an adverse impact on economic growth in countries. The continuous monitoring of manager performance and the deployment of performance measurement systems could prevent the negative impacts of manager behavior on money laundering.