bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cyclin C promoter occupancy directs changes in stress-dependent transcription
Authors: Stieg David C. , Cooper Katrina F. , Strich Randy 
Published: July 2020

AbstractThe Cdk8 kinase module (CKM) is a detachable Mediator subunit composed of cyclin C, and one each of paralogs Cdk8/Cdk19, Med12/Med12L and Med13/Med13L. In addition to regulating transcription, a portion of cyclin C also leaves the nucleus following cytotoxic stress to induce mitochondrial fragmentation and apoptosis. Our previous RNA-seq studies demonstrated that cyclin C represses a subset of hydrogen peroxide-induced genes under normal conditions, while also being required for the full induction of other loci following stress. Here, we show that cyclin C directs this transcriptional reprograming through changes in its promoter occupancy. Following peroxide stress, cyclin C promoter occupancy increased for genes it activates while decreasing at loci it represses under normal conditions. Promoter occupancy of other CKM components generally mirrored cyclin C indicating that the CKM moves as a single unit. However, CKM integrity appeared compromised at a subset of repressed promoters suggesting a source of cyclin C that is targeted for nuclear release. Interestingly, mTOR inhibition induced a new pattern of cyclin C promoter occupancy indicating that this control is fine-tuned to the individual stress. Using inhibitors, we found that Cdk8 kinase activity is not required for CKM movement or repression but was necessary for full gene activation. In conclusion, this study revealed that different stress stimuli elicit specific changes in CKM promoter occupancy correlating to altered transcriptional outputs. Finally, although CKM components were recruited or expelled from promoters as a unit, heterogeneity was observed at individual promoters suggesting a mechanism to generate gene- and stress-specific responses.
Investigating peripubertal stress and exogenous corticosterone as endogenous stimulators of brain metabolism
Authors: Just Nathalie 
Published: July 2020

AbstractSubstantial research on the association between early-life stress and its long-lasting impact on lifetime mental health has been performed revealing that early-life environmental adversity strongly regulates brain function. Alterations of gene expression and behavior in the off-springs of paternally stressed rats were also revealed. However, the precise mechanisms underlying these changes remain poorly understood. Here, an improved characterization of these processes from investigations of the functional metabolism of animal models exposed to peripubertal stress (PS) is proposed. The ultimate goal of this study was to bring forward functional Magnetic Resonance Spectroscopy (fMRS) as a technique of interest for a better understanding of brain areas by endogenous stimulators such as stress. The present study evaluated, compared and classified effects of individual PS (iPS) and paternal PS (pPS) under corticosterone (CORT) challenge in the septal areas of adult rats. Acute stress was simulated by injection of CORT and metabolic concentration changes were analyzed as a function of time. Evaluation of Glucose and Lactate concentration changes allowed the classification of groups of rats using a Glc to Lac index. Moreover, metabolic responses of control rats (CC) and of pPS x iPS rats (SS) were similar while responses in pPS (SC) and iPS (CS) differed, revealing differential adaption of energetic metabolism and of glutamatergic neurotransmission. Findings have crucial interest for understanding the metabolic mechanisms underlying altered functional connectivity and neuronal plasticity in septal areas inducing increased aggressivity in early-life stressed rats.
Parietal Mechanisms for Transsaccadic Spatial Frequency Perception: An fMRI Study
Authors: Baltaretu B. R. , Dunkley B. T. , Stevens W. Dale , Crawford J. D. 
Published: July 2020

AbstractPosterior parietal cortex (PPC), specifically right supramarginal gyrus, is involved in transsaccadic memory of object orientation for both perception and action. Here, we investigated whether PPC is involved in transsaccadic memory of other features, namely spatial frequency. We employed a functional magnetic resonance imaging paradigm where participants briefly viewed a grating stimulus with a specific spatial frequency that later reappeared with the same or different frequency, after a saccade or continuous fixation. Post-saccadic frequency modulation activated a region in the right hemisphere spanning medial PPC (ventral precuneus) and posterior cingulate cortex. Importantly, the site of peak precuneus activation showed saccade-specific feature modulation (compared to fixation) and task-specific saccade modulation (compared to a saccade localizer task). Psychophysiological interaction analysis revealed functional connectivity between this precuneus site and the precentral gyrus (M1), lingual gyrus (V1/V2), and medial occipitotemporal sulcus. This differed from the transsaccadicorientationnetwork, perhaps because spatial frequency signaled changes in objectidentity. Overall, this experiment supports a general role for PPC in transsaccadic vision, but suggests that different networks are employed for specific features.
Drug Screening Platform Using Human Induced Pluripotent Stem Cell-Derived Atrial Cardiomyocytes and Optical Mapping
Authors: Gunawan Marvin G. , Sangha Sarabjit S. , Shafaattalab Sanam , Lin Eric , Heims-Waldron Danielle A. , Bezzerides Vassilios J. , Laksman Zachary , Tibbits Glen F. 
Published: July 2020

AbstractCurrent drug development efforts for the treatment of atrial fibrillation (AF) are hampered by the fact that many preclinical models have been unsuccessful in reproducing human cardiac atrial physiology and its response to medications. In this study, we demonstrated an approach using human induced pluripotent stem cell-derived atrial and ventricular cardiomyocytes (hiPSC-aCMs and hiPSC-vCMs, respectively) coupled with a sophisticated optical mapping system for drug screening of atrial-selective compoundsin vitro.We optimized differentiation of hiPSC-aCMs by modulating the WNT and retinoid signalling pathways. Characterization of the transcriptome and proteome revealed that retinoic acid pushes the differentiation process into the atrial lineage and generated hiPSC-aCMs. Functional characterization using optical mapping showed that hiPSC-aCMs have shorter action potential durations and faster Ca2+handling dynamics compared to hiPSC-vCMs. Furthermore, pharmacological investigation of hiPSC-aCMs captured atrial-selective effects by displaying greater sensitivity to atrial-selective compounds 4-aminopyridine, AVE0118, UCL1684, and vernakalant when compared to hiPSC-vCMs.These results established that a model system incorporating hiPSC-aCMs combined with optical mapping is well-suited for pre-clinical drug screening of novel and targeted atrial selective compounds.
Differential Contributions of Static and Time-Varying Functional Connectivity to Human Behavior
Authors: Eichenbaum Adam , Pappas Ioannis , Lurie Daniel , Cohen Jessica R. , D’Esposito Mark 
Published: July 2020

AbstractMeasures of human brain functional connectivity acquired during the resting-state track critical aspects of behavior. Recently, fluctuations in resting-state functional connectivity patterns – typically averaged across in traditional analyses – have been considered for their potential neuroscientific relevance. There exists a lack of research on the differences between traditional “static” measures of functional connectivity and newly-considered “time-varying” measures as they relate to human behavior. Using functional magnetic resonance imagining (fMRI) data collected at rest, and a battery of behavioral measures collected outside the scanner, we determined the degree to which each modality captures aspects of personality and cognitive ability. Measures of time-varying functional connectivity were derived by fitting a Hidden Markov Model. To determine behavioral relationships, static and time-varying connectivity measures were submitted separately to canonical correlation analysis. A single relationship between static functional connectivity and behavior existed, defined by measures of personality and stable behavioral features. However, two relationships were found when using time-varying measures. The first relationship was similar to the static case. The second relationship was unique, defined by measures reflecting trialwise behavioral variability. Our findings suggest that time-varying measures of functional connectivity are capable of capturing unique aspects of behavior to which static measures are insensitive.Author SummaryCorrelated patterns of brain activity measured in the absence of any prescribed task show meaningful temporal fluctuations. However, the manner by which such fluctuations track aspects of human behavior remains unresolved. The current report takes a data-driven approach to characterize how time-varying patterns of human brain functional connectivity differ from traditional static measures in their ability to track aspects of personality and cognitive ability. We determine that time-varying patterns of functional connectivity not only track similar aspects of behavior as do static measures, but also unique behavioral qualities as well, specifically those that reflect behavioral variability. These results highlight the importance and relevance of examining time-varying measures of functional connectivity.
Studying the history of tumor evolution from single-cell sequencing data by exploring the space of binary matrices
Authors: Malikić Salem , Mehrabadi Farid Rashidi , Azer Erfan Sadeqi , Ebrahimabadi Mohammad Haghir , Sahinalp S. Cenk 
Published: July 2020

AbstractSingle-cell sequencing data has great potential in reconstructing the evolutionary history of tumors. Rapid advances in single-cell sequencing technology in the past decade were followed by the design of various computational methods for inferring trees of tumor evolution. Some of the earliest of these methods were based on the direct search in the space of trees. However, it can be shown that instead of this tree search strategy we can perform a search in the space of binary matrices and obtain the most likely tree directly from the most likely among the candidate binary matrices. The search in the space of binary matrices can be expressed as an instance of integer linear or constraint satisfaction programming and solved by some of the available solvers, which typically provide a guarantee of optimality of the reported solution. In this review, we first describe one convenient tree representation of tumor evolutionary history and present tree scoring model that is most commonly used in the available methods. We then provide proof showing that the most likely tree of tumor evolution can be obtained directly from the most likely matrix from the space of candidate binary matrices. Next, we provide integer linear programming formulation to search for such matrix and summarize the existing methods based on this formulation or its extensions. Lastly, we present one use-case which illustrates how binary matrices can be used as a basis for developing a fast deep learning method for inferring some topological properties of the most likely tree of tumor evolution.
Behavioral determinants of nonperforming loans in Bangladesh
Authors: Ghosh Ratan , Sen Kanon Kumar , Riva Farzana 
Published: July 2020

PurposeOver the last ten years (2010–2019), the amount of nonperforming loans (NPLs) has been more than tripled in the banking industry of Bangladesh. Thus, this paper explores the behavioral dimensions, which contribute to the NPLs.Design/methodology/approachBy analyzing social, cultural, psychological, political, economic, internal control mechanism and law enforcement contexts of Bangladesh, this study identifies nepotism (NE), moral hazard (MH ), inadequate collateral (IC), poor credit assessment (CA), lack of proper monitoring (LPM), repayment flexibility (RF), business risk (BR) and lending interest rate (LIR) as the catalysts of raising NPLs. Next, a structured questionnaire survey has been performed in Bangladesh among bank officials who closely work in credit risk management, credit supervision, corporate finance and loan recovery department. Finally, partial least squares (PLS) path modeling, a variance-based technique of structural equation modeling, is used in this study as a statistical tool to analyze the data.FindingsThis study finds that moral hazard problem, lack of proper monitoring, inadequate collateral and nepotism have significant positive impact on the raising of NPLs. Unfortunately, this study does not find any statistical significance of poor credit assessment, business risk and repayment flexibility on the NPLs in Bangladesh. Finally, this study reveals that lending interest rate has significant positive impact on the NPLs. Hence, this study concludes that domestic lending interest rate is not lower enough, and so this double-digit interest rate affects negatively to loan repayment.Research limitations/implicationsThis study concludes that moral hazard problem of borrower, lack of board independence, lack of proper monitoring, form and extent of collateral, management lobbying, indecorous personal guarantee by management, dependent-independent directors and nepotism are extensively contributing for occurring NPLs in Bangladesh. These noninstitutionalized stimulators should adequately be scrutinized by regulatory bodies, policy makers and banks. Besides, LIR needs to be decreased in a convenient level for mitigating NPLs.Originality/valueThis study is the empirical evidence of behavioral dimensions related with the growth of NPLs in Bangladesh by taking direct response from knowledgeable bankers.
Exposure of urban infrastructure because of climate change-induced flood: lesson from municipal level planning in Bangladesh
Authors: Rahman Md. Mostafizur , Islam Ishrat 
Published: July 2020

PurposeBangladesh is one of the most flood-prone countries in the world. A number of research works have identified that the flood scenario will be aggravated with climate change context in Bangladesh. In 2014, Bangladesh had prepared municipal level master plan for 222 municipalities with a view to planned urban development. But climate change-induced flood has not been considered in master plan, which poses a question toward the sustainability of the plan. Ullapara Municipality of Sirajganj district has been selected to conduct the research. This study aims to evaluate how infrastructure in proposed master plan will be exposed to climate change-induced flood.Design/methodology/approachThe methodology of this study follows geographic information system (GIS)-based flood exposure analysis of selected infrastructure. These infrastructures include transport infrastructure, educational infrastructure, health infrastructure and other urban facilities. Climate change-induced flood for the year 2040 has been used for flood exposure analysis.FindingsIt is evident from the flood exposure analysis that about 33.99% roads will be exposed to 1.5 m–2 m inundation level; seven primary school, six secondary school and four colleges would be highly exposed to 2.0 m–2.50 m inundation level; four health facilities would be exposed to 1.0 m–2.0 m inundation level because of future climate change. This inundation scenario for long duration will lead to dysfunction of concerned infrastructure and, in turn, undermine the stability of a socioeconomic system of Ullapara Municipality.Originality/valueAs the master plan is not fully implemented till now, there is scope for intervention for considering climate change-induced flood to make the plan sustainable.
The role of affective commitment on the relationship between human resource management practices and informal workplace learning
Authors: Khandakar Md Shariful Alam , Pangil Faizuniah 
Published: July 2020

PurposeThe purpose of this paper is to explain the mediation effect of affective commitment on the relationship between human resource management practices and informal workplace learning.Design/methodology/approachThis paper develops a conceptual framework along with propositions by integrating comprehensive literatures, in the field of human resource management, affective commitment and informal workplace learning. Through the review of detail literature and based on the situated learning theory (Lave and Wenger, 1991) and organizational support theory (Eisenbergeret al., 1986; Rhoades and Eisenberger, 2002; – and Eisenberger, 2006), it is proposed that eight human resource practices could affect informal workplace learning. Moreover, it is also argued that affective commitment could mediate the relationship between HRM practices and informal workplace learning.FindingsThis paper provides a conceptual framework on human resource management practices and informal workplace learning which is mediated by affective commitment.Originality/valueNone of the models presented in the literature details the mediation of affective commitment on the relationship between human resource management practices and informal workplace learning which is mediated by affective commitment as indeed the most recent research on the subject envisages.
Towards greater inclusion in skills competitions
Authors: Bentley-Gockmann Neil 
Published: July 2020

PurposeThe purpose of this paper is to provide a short overview of WorldSkills UK's deep mission to improve the diversity and inclusivity of its skills competitions, in order to give more young people from all backgrounds the opportunity to achieve their potential.Design/methodology/approachOpinion piece outlining the organisation's stated aims and objectives with respect to diversity and inclusion, incorporating fresh insights from emerging research.FindingsMakes the case for a transformative approach to diversity and inclusion in a critical part of the UK's FE system, providing unique insights into one organisation's trailblazing approach.Originality/valueA case study of a hitherto under-reported, yet important, aspect of vocational skills policy.
Adoption of AI-integrated CRM system by Indian industry: from security and privacy perspective
Authors: Chatterjee Sheshadri , Ghosh Soumya Kanti , Chaudhuri Ranjan , Chaudhuri Sumana 
Published: July 2020

Purpose
The purpose of this study is to make an attempt to identify the factors responsible for the adoption of an artificial intelligence (AI)-integrated customer relationship management (CRM) system in Indian organizations with a special focus on security and privacy issues.

Design/methodology/approach
This study was conducted for the identification of factors responsible for the adoption of the AI-integrated CRM system in Indian organizations focusing attention on security and privacy perspective. For this, the adoption theories and models have been studied. The literature available in this context has also been studied with a focus on security and privacy issues. After the initial study, few hypotheses have been formulated and a conceptual model has been developed. These hypotheses were validated with the help of statistical tools by conducting sample survey with 324 usable responses against 36 questionnaires.

Findings
The results of this study highlight that of the eight hypotheses conceptually formulated, one hypothesis was not supported as is evident from the application of statistical analysis. This is the influence of perceived ease of use on attitude of the stakeholders intending to use the AI-integrated CRM system in Indian organizations. The results also transpire that the model so provided has achieved 87% explanative power.

Research limitations/implications
The model so provided has taken the help of the technological acceptance model. It has also used the issues circumscribing menace of security and privacy vulnerabilities. Consideration of the technological acceptance model and aspects of issues of security and privacy has enriched the model rendering its explanative power to 87%.

Practical implications
The model is simple. Practitioners can execute this model without having any complexity. The policymakers could also get inputs from the model, as it has focused specially on security and privacy issues that could help to enhance the trust of the potential users.

Originality/value
Not many studies are found covering the adoption of the AI-integrated CRM system by Indian organizations with a special focus on security and privacy aspects. In this light, this study is a novel attempt.
Relationships between industry 4.0, sustainable manufacturing and circular economy: proposal of a research framework
Authors: Bag Surajit , Pretorius Jan Harm Christiaan 
Published: July 2020

Purpose
The digital revolution has brought many challenges and opportunities for the manufacturing firms. The impact of Industry 4.0 technology adoption on sustainable manufacturing and circular economy has been under-researched. This paper aims to review the latest articles in the area of Industry 4.0, sustainable manufacturing and circular economy and further developed a research framework showing key paths.

Design/methodology/approach
Qualitative research is performed in two stages. In the first stage, a review of the extant literature is performed to identify the barriers, drivers, challenges and opportunities. In the second stage, a research framework is proposed to integrate Industry 4.0 technology (big data analytics powered artificial intelligence) adoption, sustainable manufacturing and circular economy capabilities.

Findings
This research extends the knowledge base by providing a detailed review of Industry 4.0, sustainable manufacturing, and circular economy and proposes a research framework by integrating these three contemporary concepts in the context of supply chain management. Through an exploration of this integrative research framework, the authors propose a future research agenda and seven research propositions.

Research limitations/implications
It is important to understand the interplay between institutional pressures, tangible resources and human skills for Industry 4.0 technology (big data analytics powered artificial intelligence) adoption. Industry 4.0 technology (big data analytics powered artificial intelligence) adoption can positively influence sustainable manufacturing and circular economy capabilities. Managers must also put more attention to sustainable manufacturing to develop circular economic capabilities.

Social implications
Factory workers and the local communities generally suffer from various adverse effects resulting from the traditional manufacturing process. The quality of the environment is deteriorating to such an extent that people even staying miles away from the factory are also affected due to environmental pollution that is generated from factory operations. Hence, sustainable manufacturing is the only choice left to manufacturers that can help in the transition to a circular economy. The research framework can help firms to enhance circular economy capabilities.

Originality/value
This review paper contains the most updated work on Industry 4.0, sustainable manufacturing and circular economy. It also proposes a research framework to integrate these three concepts.