bluuebunny/crossref_metadata_2025_split huggingface dataset:
Knowledge, Attitudes, and Practices of People living with SCI towards COVID-19 and their Psychological State during In-patient Rehabilitation in Bangladesh
Authors: Hossain Mohammad Anwar , Hossain K M Amran , Sakel Mohamed , Kabir Md. Feroz , Saunders Karen , Faruqui Rafey , Hossain Mohammad Sohrab , Uddin Zakir , Kader Manzur , Walton Lori Maria , Haque Md. Obaidul , Shafin Rubayet , Jahid Iqbal Kabir 
Published: December 2020

AbstractStudy DesignA prospective cross-sectional survey.ObjectiveThe study aimed to examine the Knowledge, Attitudes, and Practices (KAP) of people living with Spinal cord injury (SCI) towards COVID-19 and their psychological status during in-patient rehabilitation in Bangladesh.SettingThe Centre for the Rehabilitation of the Paralyzed (CRP) and the National Institute of Traumatology and Orthopedic Rehabilitation (NITOR), two tertiary level hospitals in Dhaka, Bangladesh.MethodsFrom July to September 2020, a prospective, cross-sectional survey of SCI subjects, 13-78 years of age, carried out in two SCI rehab centers in Bangladesh. Data has been collected by face to face interview through a pretested, and language validated questionnaire on KAP and Depression, Anxiety, Stress (DASS). Ethical approval and trial registration obtained prospectively. As all the patients were previously living with Spinal cord injury (SCI), therefore, all the patients admitted/ attend SCI rehab centers were considered as SCI positive samples.ResultsA total of 207 people with SCI responded, 87%were male, and 13% were female with mean age34.18±12.9 years. 33.8% was tetraplegic and 66.2% was paraplegic and 63.8% of them were diagnosed ASIA-A, with motor score 45.38±19.5, sensory score 97.2±52, SpO2 95.07±3.3, and Vo2max 35.7±3.7mL/kg/min. 178 people had at least one health issue. Overall knowledge score was 8.59±2.3 out of 12, depression 11.18±8, anxiety 7.72±5.1, and stress was 9.32±6.7 from a total of 21 scores each. There was a correlation between Knowledge and DASS with age (P<.05); and Knowledge with gender (P<.05), and education (P<.01). Binary logistic regression found a higher association of Knowledge and DASS with gender (OR 6.6, 6.6, .95, 6.6; P<.01); and young age (OR.418, P<.01), illiterate (OR3.81, P<.01), and rural people (OR.48, P<.05) with knowledge. A linear relation was noted between depression and anxiety scores (r.45, P<.01) and stress scores (r.58, P<.01). A positive attitude was reported for the majority of subjects. SCI Persons reported they and the caregiver followed health advisory in consulting health professionals (65.7%), isolation (63.8%), droplet precaution (87.4%), and hygiene (90.3%).ConclusionsDuring in-patient rehabilitation in Bangladesh, the majority of SCI reported that they had communicated with health professionals and practiced behaviors that would reduce transmission and risk of COVID-19.
Chlorzoxazone, A BKCa Channel Agonist, Rescues The Pathological Phenotypes Of Williams-Beuren Syndrome In A Preclinical Model
Authors: Piquemal Marion , Abdulkarim-Abdalla Noura , Ortiz-Romero Paula , Lemaire-Mayo Valerie , Crusio Wim E. , Louette Eric , Campuzano Victoria , Pietropaolo Susanna 
Published: December 2020

ABSTRACTWilliams-Beuren syndrome (WBS) is a rare developmental disorder caused by the deletion of a 1.5 Mb region in chromosome 7 (7q11.23). WBS has been recently modelled by a mutant mouse line having a complete deletion (CD) of the equivalent locus on mouse chromosome 5, thus resembling the genetic defect found in WBS patients. CD mice have been shown to have physical and neurobehavioral abnormalities that recapitulate most of the symptoms associated with human WBS, including cardiovascular, motor, social, emotional and sensory alterations. This model has been largely used to investigate the etiopathological mechanisms of WBS; nonetheless, pharmacological therapies for this syndrome have not been identified yet. Here we propose a novel treatment for WBS, chlorzoxazone (CHLOR), i.e., a molecule targeting calcium-activated large conductance potassium (BKCa) channels, since a reduction in the expression of these channels has been recently described in neurons from WBS patients, as well as in other rare developmental pathologies. Our results demonstrate both the acute and chronic effects of CHLOR on some major pathological phenotypes of CD mice, including several behavioural alterations and cardiac hypertrophy. We conclude that BKCa channels are a therapeutic target of high potential for clinical applications and are likely to play a key role in the etiopathology of WBS.
Coronavirus GenBrowser for monitoring the transmission and evolution of SARS-CoV-2
Authors: Yu Dalang , Yang Xiao , Tang Bixia , Pan Yi-Hsuan , Yang Jianing , Duan Guangya , Zhu Junwei , Hao Zi-Qian , Mu Hailong , Dai Long , Hu Wangjie , Zhang Mochen , Cui Ying , Jin Tong , Li Cui-Ping , Ma Lina ,   Language translation team, Su Xiao , Zhang Guoqing , Zhao Wenming , Li Haipeng 
Published: December 2020

AbstractGenomic epidemiology is important to study the COVID-19 pandemic and more than two million SARS-CoV-2 genomic sequences were deposited into public databases. However, the exponential increase of sequences invokes unprecedented bioinformatic challenges. Here, we present the Coronavirus GenBrowser (CGB) based on a highly efficient analysis framework and a movie maker strategy. In total, 1,002,739 high quality genomic sequences with the transmission-related metadata were analyzed and visualized. The size of the core data file is only 12.20 MB, efficient for clean data sharing. Quick visualization modules and rich interactive operations are provided to explore the annotated SARS-CoV-2 evolutionary tree. CGB binary nomenclature is proposed to name each internal lineage. The pre-analyzed data can be filtered out according to the user-defined criteria to explore the transmission of SARS-CoV-2. Different evolutionary analyses can also be easily performed, such as the detection of accelerated evolution and on-going positive selection. Moreover, the 75 genomic spots conserved in SARS-CoV-2 but non-conserved in other coronaviruses were identified, which may indicate the functional elements specifically important for SARS-CoV-2. The CGB not only enables users who have no programming skills to analyze millions of genomic sequences, but also offers a panoramic vision of the transmission and evolution of SARS-CoV-2.
Emotional Adaptation During A Crisis: Decline in Anxiety and Depression After the Initial Weeks of COVID-19 in the United States
Authors: Shuster Anastasia , O’Brien Madeline , Luo Yi , Heflin Matthew , Chung Dongil , Na Soojung , Perl Ofer , Kulkarni Kaustubh , Fiore Vincenzo G. , Gu Xiaosi 
Published: December 2020

AbstractObjectiveCrises such as the COVID-19 pandemic are known to exacerbate depression and anxiety, though their temporal trajectories remain unclear. The present study aims to investigate fluctuations in depression and anxiety using COVID-19 as a model crisis.Methods1,512 adults living in the U.S. enrolled in this online study on April 2nd, 2020 and were assessed weekly for 10 weeks (until June 4th, 2020; final n=537). Depression and anxiety were measured using the Zung Self-Rating Depression scale and State-Trait Anxiety Inventory (state subscale), respectively, along with demographic and COVID-related questions. Mixed-effects linear regression models were used to examine factors contributing to longitudinal changes in depression and anxiety.ResultsDepression and anxiety levels were high in early April, but declined over time (F(9,4824)=17.53,p<.001 andF(9,4824)=23.35,p<.001, respectively). In addition to demographic factors such as sex, age, income, and psychiatric diagnoses, we identified some overlapping and some distinct dynamic factors contributing to changes in depression and anxiety: worsening of weekly individual economic impact of COVID-19 increased both depression and anxiety, while increased seven-day change in COVID-19 cases, social media use, and projected pandemic duration were positively associated with anxiety, but not depression.ConclusionsAlongside evidence for overall emotional adaptation, these findings highlight overlapping (economic), yet distinct (change in COVID-19 cases, social media use, and projected COVID-19 duration) factors contributing to fluctuations in depression and anxiety throughout the first wave of COVID-19. These results provide insight into socioeconomic policies and behavioral changes that can increase emotional adaptation in times of crisis.
Left Hippocampus to Anterior Cingulate Cortex Connectivity Correlates with Worse Recent Verbal Memory in Pornography Addicted Juveniles
Authors: Prawiroharjo Pukovisa , Edison Rizki Edmi , Ellydar Hainah , Pratama Peter , Suaidy Sitti Evangeline Imelda , Amani Nya’ Zata , Carissima Diavitri , Hatta Ghina Faradisa 
Published: December 2020

ABSTRACTBackground and aimsImperil by the convenience of information and knowledge access, children exposed to pornography have worsened. As such, this study aims to gain insight into brain connectivity and cognitive function effect of pornography addiction in juveniles, as the best of our knowledge, this study is the first to specifically learn about memory function in juvenile’s pornography addiction.MethodsWe screened 30 juveniles with 4 dropouts (13 non-addiction vs 13 addiction group). Subjects underwent neuropsychiatric tests (memory, attention, and intelligence) and fMRI image acquisition. We carried correlation analysis of brain connectivity and neuropsychiatric test results.ResultsSignificant disconnection between left hippocampus to ACC (Z-transformed r-value, non-addiction vs addiction = 0.07 ± 0.19 vs −0.08 ± 0.17, p=0.04, cohen d=0.83) followed by worse verbal recent memory in pornography addicted juveniles (RAVLT A6 sub-score, p < 0.01, d=0.67; A7 sub-score, p=0.01). Attention and intelligence test resulted to insignificant correlation.DiscussionThis data-driven analysis result strongly promotes the involvement of cortico-subcortical systems in pornography addiction, emphasizing the role of reward system pathology, indifferent to addiction pathophysiology in general. Decline in working memory, which are maintained by corticolimbic network, including hippocampus and ACC, affects goal-oriented behaviour greatly. This, correspond to our significant result of addiction group’s decline in memory, regardless of its association with attention and intelligence.ConclusionDisconnection between left hippocampus to ACC suggested similar neurobiological abnormalities as seen on other addictive disorders. Its disconnection was also correlated with worse verbal recent memory in pornography addicted juveniles, without affecting attention and intelligence, results showed.
The mechanism underlying transient weakness in myotonia congenita
Authors: Myers Jessica H , Denman Kirsten , DuPont Chris , Hawash Ahmed A , Novak Kevin R , Koesters Andrew , Grabner Manfred , Dayal Anamika , Voss Andrew A , Rich Mark M 
Published: December 2020

AbstractIn addition to the hallmark muscle stiffness, patients with recessive myotonia congenita (Becker disease) experience debilitating bouts of transient weakness that remain poorly understood despite years of study. We made intracellular recordings from muscle of both genetic and pharmacologic mouse models of Becker disease to identify the mechanism underlying transient weakness. Our recordings reveal transient depolarizations (plateau potentials) of the membrane potential to −25 to −35 mV in the genetic and pharmacologic models of Becker disease. Both Na+and Ca2+currents contribute to plateau potentials. Na+persistent inward current (NaPIC) through Naγ1.4 channels is the key trigger of plateau potentials and current through Cav1.1 Ca2+channels contributes to the duration of the plateau. Inhibiting NaPIC with ranolazine prevents the development of plateau potentials and eliminates transient weaknessin vivo.These data suggest that targeting NaPIC may be an effective treatment to prevent transient weakness in myotonia congenita.Impact StatementTransient weakness in myotonia congenita is caused by depolarization secondary to activation of persistent Na+current in skeletal muscle.
Embodiment of sleep-related words: evidence from event-related potentials
Authors: Hülsemann Mareike J. , Rasch Björn 
Published: December 2020

AbstractOur thoughts, plans and intentions can influence physiological sleep, but the underlying mechanisms are unknown. According to the theoretical framework of “embodied cognition”, the semantic content of cognitive processes is represented by multimodal networks in the brain which also include body-related functions. Such multimodal representation could offer a mechanism which explains mutual influences between cognition and sleep. In the current study we tested whether sleep-related words are represented in multimodal networks by examining the effect of congruent vs. incongruent body positions on word processing during wakefulness.We experimentally manipulated the body position of 66 subjects (50 females, 16 males, 19-40 years old) between standing upright and lying down. Sleep- and activity-related words were presented around the individual speech recognition threshold to increase task difficulty. Our results show that word processing is facilitated in congruent body positions (sleep words: lying down and activity words: standing upright) compared with incongruent body positions, as indicated by a reduced N400 of the event-related potential (ERP) in the congruent condition with the lowest volume. In addition, early sensory components of the ERP (N180 and P280) were enhanced, suggesting that words were also acoustically better understood when the body position was congruent with the semantic meaning of the word. However, the difference in ERPs did not translate to differences on a behavioural level.Our results support the prediction of embodied processing of sleep- and activity-related words. Body position potentially induces a pre-activation of multimodal networks, thereby enhancing the access to the semantic concepts of words related to current the body position. The mutual link between semantic meaning and body-related function could be a key element in explaining influences of cognitive processing on sleep.
Development of A Decellularized Meniscus Matrix-Based Nanofibrous Scaffold for Meniscus Tissue Engineering
Authors: Xia Boao , Kim Dong-Hwa , Bansal Sonia , Bae Yongho , Mauck Robert L. , Heo Su-Jin 
Published: December 2020

ABSTRACTThe meniscus plays a critical role in knee mechanical function but is commonly injured given its central load bearing role. In the adult, meniscus repair is limited, given the low number of endogenous cells, the density of the matrix, and the limited vascularity. Menisci are fibrocartilaginous tissues composed of a micro-/nano-fibrous extracellular matrix (ECM) and a mixture of chondrocyte-like and fibroblast-like cells. Here, we developed a fibrous scaffold system that consists of bioactive components (decellularized meniscus ECM (dME) within a poly(e-caprolactone) material) fashioned into a biomimetic morphology (via electrospinning) to support and enhance meniscus cell function and matrix production. This work supports that the incorporation of dME into synthetic nanofibers increased hydrophilicity of the scaffold, leading to enhanced meniscus cell spreading, proliferation, and fibrochondrogenic gene expression. This work identifies a new biomimetic scaffold for therapeutic strategies to substitute or replace injured meniscus tissue.STATEMENT OF SIGNIFICANCEIn this study, we show that a scaffold electrospun from a combination of synthetic materials and bovine decellularized meniscus ECM provides appropriate signals and a suitable template for meniscus fibrochondrocyte spreading, proliferation, and secretion of collagen and proteoglycans. Material characterization andin vitrocell studies support that this new bioactive material is susceptible to enzymatic digestion and supports meniscus-like tissue formation.
LigEGFR: Spatial graph embedding and molecular descriptors assisted bioactivity prediction of ligand molecules for epidermal growth factor receptor on a cell line-based dataset
Authors: Virakarin Puri , Saengnil Natthakan , Boonyarit Bundit , Kinchagawat Jiramet , Laotaew Rattasat , Saeteng Treephop , Nilsu Thanasan , Suvannang Naravut , Rungrotmongkol Thanyada , Nutanong Sarana 
Published: December 2020

AbstractMotivationLung cancer is a chronic non-communicable disease and is the cancer with the world’s highest incidence in the 21stcentury. One of the leading mechanisms underlying the development of lung cancer in nonsmokers is an amplification of the epidermal growth factor receptor (EGFR) gene. However, laboratories employing conventional processes of drug discovery and development for such targets encounter several pain-points that are cost- and time-consuming. Moreover, high failure rates are caused by efficacy and safety problems during research and development. Therefore, it is imperative to develop improved methods for drug discovery. Herein, we developed a deep learning model with spatial graph embedding and molecular descriptors based on predicting pIC50potency estimates of small molecules and classifying hit compounds against the human epidermal growth factor receptor (LigEGFR). The model was generated with a large-scale cell line-based dataset containing broad lists of chemical features.ResultsLigEGFR outperformed baseline machine learning models for predicting pIC50. Our model was notable for higher performance in hit compound classification, compared to molecular docking and machine learning approaches. The proposed predictive model provides a powerful strategy that potentially helps researchers overcome major challenges in drug discovery and development processes, leading to a reduction of failure to discover novel hit compounds.AvailabilityWe provide an online prediction platform and the source code that are freely available athttps://ligegfr.vistec.ist, andhttps://github.com/scads-biochem/LigEGFR, respectively.Key pointsLigEGFR is a regression model for predicting pIC50that was developed for the human EGFR target. It can also be applied to hit compound classification (pIC50≥ 6) and has a higher performance than baseline machine learning algorithms and molecular docking approaches.Our spatial graph embedding and molecular descriptors based approach notably exhibited a high performance in predicting pIC50of small molecules against human EGFR.Non-hashed and hashed molecular descriptors were revealed to have the highest predictive performance by using in a convolutional layers and a fully connected layers, respectively.Our model used a large-scale and non-redundant dataset to enhance the diversity of the small molecules. The model showed robustness and reliability, which was evaluated by y-randomization and applicability domain analysis (ADAN), respectively.We developed a user-friendly online platform to predict pIC50of small molecules and classify the hit compounds for the drug discovery process of the EGFR target.
Investigating the relationship between integrated reporting and firm performance in a voluntary disclosure regime: insights from Bangladesh
Authors: Islam Md. Shafiqul 
Published: December 2020

PurposeThe purpose of this study is observing the disclosure pattern of integrated reporting (IR) and investigating its relationship with a firm's operational, financial and market growth performance measured in the form of return on assets (ROA), return on equity (ROE) and market-to-book value ratio respectively in the voluntary disclosure regime of Bangladesh.Design/methodology/approachThis research is quantitative, based on a pooled-OLS regression analysis of 20 firms listed under ten different nonfinancial industries of the Dhaka Stock Exchange (DSE) for three financial years from 2015–2016 to 2017–2018, with 60 firm-year observations. A manual content analysis based on a structured integrated reporting disclosure index (IRDIN) measures the extent of disclosure in the corporate annual reports. The practical model consists of the dependent variable IRDIN and the independent variables ROA, ROE and market-to-book value ratio. The natural logarithm of total assets and financial leverage are the two controlling variables used in the model.FindingsThe findings deduced from the empirical results indicate that the IRDIN is positively and significantly related to all three performance variables. Content analysis shows an increasing pattern of disclosure of the constructed index elements by the sample firms.Research limitations/implicationsA Small sample size may deter the generalization of the research findings in other voluntary disclosure regimes. Self-constructed IRDIN index scores may be affected by subjective judgment while assessing the annual reports.Practical implicationsCapital market regulators can gain valuable insights regarding the suitability of implementing IR in Bangladesh as the results show a positive relationship of firm performance with the adoption of this revolutionary paradigm in corporate reporting.Originality/valueThis study adds value to the existing limited literature of IR disclosure and firm performance in Bangladesh by incorporating content analysis and regression analysis to understand how firms respond to the demand of value creation by the stakeholders in a voluntary disclosure regime. This study captures sample firms from all the nonfinancial industries of Bangladesh with a unique IR index, which is the first of its kind.
Leakage and rotordynamic characteristics of labyrinth seal and hole-pattern damping seal with special-shaped 3D cavity
Authors: Zhang Xuan , Jiang Jin-Bo , Peng Xudong , Li Jiyun 
Published: December 2020

Purpose
The purpose of this paper is to enhance sealing and rotordynamic performance of hole-pattern damping seal (HPDS) and labyrinth seal (LS) by structural innovation and geometrical optimization of special-shaped hole or annular-groove cavity.

Design/methodology/approach
The unsteady flow was transformed into steady one using moving reference frame method. The full period numerical models of LS and HPDS were established. The influence of special-shaped hole or annular-groove cavity at axial inclined angle on leakage rate and rotordynamic coefficient of these two seals at different whirl angular speed were investigated.

Findings
The results show that dynamic characteristics of straight-tooth LS are better than that of slanted-tooth LS. Compared to typical straight-hole damping seal, HPDS with windward oblique-hole when axial inclined angle ranges from 50 to 60° has superiority in both leakage and rotordynamic characteristics by considering smaller cross-coupled stiffness coefficient and whirl frequency ratio, larger direct damping coefficient and effective damping coefficient.

Originality/value
A novel HPDS with special-shaped three-dimensional hole cavity was proposed to enhance leakage and rotordynamic performance. The optimized geometrical structures of HPDS for excellent sealing and rotordynamic characteristics were obtained.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2020-0262/