Miracle-dz/UniFAR-FTUs huggingface dataset:
Poor Work-Life Balance May Lead to Impaired Cognitive Function in Bus Drivers.

OBJECTIVE This study aimed to investigate how work-life balance (WLB) corresponds to cognitive functions and which mental health conditions play a mediating role in this association among Korean bus drivers. METHODS The cognitive failures questionnaire (CFQ) was administered to 347 bus drivers in Seoul, Korea. The differences in the CFQ and WLB scores were examined by analysis of covariance, and a structural equation model (SEM) was constructed for investigating the mediating role of mental health indices between WLB and CFQ scores. RESULTS Compared with the highest subjective work-life balance group, the lowest group had significantly higher CFQ scores. In the SEM, anxiety was a mediating variable between subjective work-life balance and CFQ scores. CONCLUSION Work-life balance is associated with cognitive failures among Korean bus drivers, and anxiety was a key mediating mental health indicator.
Small Genomes and Big Data: Adaptation of Plastid Genomics to the High-Throughput Era

Plastid genome sequences are becoming more readily available with the increase in high-throughput sequencing, and whole-organelle genetic data is available for algae and plants from across the diversity of photosynthetic eukaryotes. This has provided incredible opportunities for studying species which may not be amenable to in vivo study or genetic manipulation or may not yet have been cultured. Research into plastid genomes has pushed the limits of what can be deduced from genomic information, and in particular genomic information obtained from public databases. In this Review, we discuss how research into plastid genomes has benefitted enormously from the explosion of publicly available genome sequence. We describe two case studies in how using publicly available gene data has supported previously held hypotheses about plastid traits from lineage-restricted experiments across algal and plant diversity. We propose how this approach could be used across disciplines for inferring functional and biological characteristics from genomic approaches, including integration of new computational and bioinformatic approaches such as machine learning. We argue that the techniques developed to gain the maximum possible insight from plastid genomes can be applied across the eukaryotic tree of life.
Culture-bound syndromes, idioms of distress, and cultural concepts of distress: New directions for an old concept in psychological anthropology

This issue of Transcultural Psychiatry showcases some recent work on idioms of distress – the latest in a long line of anthropological research concerned with cross-cultural concepts and experiences of distress. Mark Nichter’s (1981) seminal paper introducing idioms of distress has become a cynosure for psychological anthropology and transcultural psychiatry. A growing body of work has since accumulated; however, the last time a collection of such research was brought together was the 2010 publication of a special issue in the journal Culture, Medicine and Psychiatry organized by Devon Hinton and Roberto Lewis-Fernandez. In the decade since, new questions have arisen about the boundaries and applications of idioms of distress research. In this introduction, we provide a brief history of work on idioms of distress and related concepts. Then, we introduce several major themes explored by the papers in this special issue.
Four-sphere head model for EEG signals revisited

Electric potential recorded at the scalp (EEG) is dominated by contributions from current dipoles set by active neurons in the cortex. Estimation of these currents, called ’inverse modeling’, requires a ’forward’ model, which gives the potential when the positions, sizes, and directions of the current dipoles are known. Diﬀerent models of varying complexity and realism are used in the field. An important analytical example is the four-sphere model which assumes a four-layered spherical head where the layers represent brain tissue, cerebrospinal fluid (CSF), skull, and scalp, respectively. This model has been used extensively in the analysis of EEG recordings. Since it is analytical, it can also serve as a benchmark against which numerical schemes, such as the Finite Element Method (FEM), can be tested. While conceptually clear, the mathematical expression for the scalp potentials in the four-sphere model is quite cumbersome, and we observed the formulas presented in the literature to contain errors. We here derive and present the correct analytical formulas for future reference. They are compared with the results of FEM simulations of four-sphere model. We also provide scripts for computing EEG potentials in this model with the correct analytical formula and using FEM.
Validation of Surrogate Anthropometric Indices in Older Adults: What Is the Best Indicator of High Cardiometabolic Risk Factor Clustering?

The present study evaluated the ability of five obesity-related parameters, including a body shape index (ABSI), conicity index (CI), body roundness index (BRI), body mass index (BMI), and waist-to-height ratio (WtHR) for predicting increased cardiometabolic risk in a population of elderly Colombians. A cross-sectional study was conducted on 1502 participants (60.3% women, mean age 70 ± 7.6 years) and subjects’ weight, height, waist circumference, serum lipid indices, blood pressure, and fasting plasma glucose were measured. A cardiometabolic risk index (CMRI) was calculated using the participants’ systolic and diastolic blood pressure, triglycerides, high-density lipoprotein and fasting glucose levels, and waist circumference. Following the International Diabetes Federation definition, metabolic syndrome was defined as having three or more metabolic abnormalities. All surrogate anthropometric indices correlated significantly with CMRI (p < 0.01). Receiver operating characteristic curve analysis of how well the anthropometric indices identified high cardiometabolic risk showed that WtHR and BRI were the most accurate indices. The best WtHR and BRI cut-off points in men were 0.56 (area under curve, AUC 0.77) and 4.71 (AUC 0.77), respectively. For women, the WtHR and BRI cut-off points were 0.63 (AUC 0.77) and 6.20 (AUC 0.77), respectively. In conclusion, BRI and WtHR have a moderate discriminating power for detecting high cardiometabolic risk in older Colombian adults, supporting the idea that both anthropometric indices are useful screening tools for use in the elderly.
Advanced computer technologies and their benefits for Bayesian network learning

Probabilistic graphical models are an attractive approach used for modelling complex systems, as the nature of the network allows uncertainty in the system to be accounted for. In particular, Bayesian networks, and their temporal extension, Dynamic Bayesian networks, are investigated. Difficulties often arise in the learning procedure, as the computational complexity of the network increases exponentially with each new variable. This can lead to a restriction on the number of variables to be included in the network and results in a network that is not truly representative of the system. This research wishes to demonstrate how these methods can benefit from using advanced computer technologies for implementing various learning algorithms, resulting in faster computation and the ability to handle larger data sets with an increased number of variables.
Tailoring the assembly of iron nanoparticles in carbon microspheres toward high performance electrocatalytic denitrification.

Electrocatalytic denitrification is considered as the most promising technology to transform nitrates to nitrogen gas in sewage so far. Although noble metal-based catalysts as cathode material has reached decent removal capacity of nitrate, the high cost is the main hamper of electrocatalytic reduction. Therefore, the development of alternative catalysis toward highly effective denitrification is imperative yet still remains significant challenge. Herein, a corchorifolius-like structure, where Fe nanoparticles are sealed in carbon microspheres (CL-Fe@C) with rough surface, has been elaborately designed by self-assemble strategy. Impressively, the architectured CL-Fe@C microspheres surrounded with a lot of small iron nanoparticles and contain the high iron content of ~ 74 %. As a result, an excellent removal capacity of 1816 mg N/g Fe, and a high nitrogen selectivity of 98 % under a very low nitrate concentration of 100 mg/L are achieved when using the CL-Fe@C microspheres as electrocatalytic denitrification. The present work not only explore high performance electro-catalysis for the denitrification, but also promote new inspiration for the preparation of other iron-based functional materials for diverse applications.
A Detection Method for DDoS Attack against SDN Controller

through the data plane and control plane isolation, SDN network architecture framework helps to simplify network configuration and management, improves the development efficiency, and the centralized logic controller to give more control over the entire network, the network has full visibility. These advantages of SDN also expose the network security vulnerabilities. Compared with the conventional network, the impact of the attack is more serious. A Distribute Denial of Service attack against controller is one of the serious security threats of SDN. Slow attack is more difficult to protect. The destruction of the controller may break whole SDN network. In order to mitigate this threat, this paper introduces a lightweight detection scheme based on entropy of the destination IP address and SPRT. We first calculate the entropy of the destination IP address in SDN, then make a decision by using SPRT (Sequential Probability Ratio Test). Our paper plays a very good protection against DDoS slow attack in SDN. Keywords-SDN; DDoS; entropy; SPRT.
Cohort Profile: The Cardiovascular and Metabolic Diseases Etiology Research Center Cohort in Korea

Mortalities from cardiovascular disease in Korea have decreased markedly over the past three decades. The major cardiovascular and metabolic risk factors, however, remain prevalent, and their burden on health is large. The Cardiovascular and Metabolic Diseases Etiology Research Center (CMERC) planned a cohort study in order to identify novel risk factors and to develop evidence-based prevention strategies of cardiovascular and metabolic diseases. The CMERC deliberately designed two prospective cohorts, a community-based general population cohort (the CMERC cohort) and its sister cohort (a hospital-based high-risk patient cohort), covering a broad spectrum of cardiovascular and metabolic diseases. This paper describes the CMERC cohort study of community-dwelling adults aged 30 to 64 years. A total of 8097 adults completed baseline measurement between 2013 and 2018. Baseline measurements assessed socio-demographic factors, medical history, health-related behaviors, psychological health, social network and support, anthropometry, body composition, and resting blood pressure and comprised electrocardiography, carotid artery ultrasonography, fasting blood analysis, and urinalysis. Both active follow-up through an annual telephone survey and a 5-year on-site health examination survey and passive follow-up through secondary data linkage with national databases, such as national death records, have been applied. Researchers interested in collaborative research may contact the corresponding author.
Clustering patterns of type‐type combination in multiple genotypes infections of human papillomavirus in cervical adenocarcinoma

Coinfections with multiple types of human papillomavirus (HPV) occur in cervical adenocarcinoma (ADC). However, it remains unclear the clustering patterns of multiple types in HPV coinfections and relevant factors in ADC. A total of 718 paraffin‐embedded ADC specimens were collected in China and tested for HPV genotypes using SPF10‐INNO‐LIPA. The prevalence of HPV coinfections and clustering patterns by geographical regions, histological subtypes and ages were assessed. Type‐specific attribution of HPV to ADC adjusted by HPV coinfections were calculated. The prevalence of HPV coinfections was found to be 8.4% in ADC cases with slight variation by geographic regions between 2.2% and 12.5%. The 88.3% of all HPV multiple infections in ADC were two types of HPV coinfections with predominant combination of HPV 16 and HPV 18. The attribution to ADC was 88.0% for HPV 16/18 targeted by bivalent and quadrivalent vaccine and 96.8% for HPV 16/18/31/33/45/52/58 targeted by nonavalent vaccine. Clustering patterns of multiple types were related with histological categories and age at diagnosis. In conclusion, HPV coinfections are uncommonly prevalent in ADC cases with slight variation by geographic regions and distinct clustering patterns of multiple types by histological subtypes and ages at diagnosis. The high attribution of carcinogenic HPV types to ADC predicts potential protection of HPV vaccine against ADC.
Drosophila melanogaster, a new model for exercise research

Drosophila melanogaster has been a model system for genetics research since the early 1900s, when Thomas Hunt Morgan first brought fruit flies into the lab 1 . While much of the research in its early history was focused on genetics, scientists soon realized that Drosophila could be used for studies into a variety of other topics, including development, physiology, behavior, memory and learning. Despite the significant evolutionary history separating Drosophila from humans, many discoveries made in the fruit fly have been translatable to mammals and provided important insights into human biology including into a variety of diseases. This article is protected by copyright. All rights reserved.
The risk of periodontitis for peripheral vascular disease: a systematic review and meta-analysis.

Periodontitis is one of the risk factors associated with peripheral artery disease. This meta-analysis evaluates how periodontitis contributes to the pathogenesis and progression of peripheral artery disease. We systematically searched electronic databases Ovid Medline, Embase, Cochrane Library and Pubmed. Grey literature was also searched via Google Scholar. All studies evaluating the relationship between the incidence of periodontitis and peripheral artery disease were included. Subgroup analyses of carotid artery disease and lower extremity arterial disease were also conducted. Odds ratios (OR) and 95% confidence intervals (CI) were pooled and analyzed. The I² statistic was used to evaluate heterogeneity. Within a total of 25 studies, including 22,090 participants based on eligibility criteria, the incidence of peripheral artery disease was significantly higher among those with periodontitis (OR: 1.60, 95% CI 1.41-1.82, P < 0.001, I² = 80.5%). In subgroup analysis, periodontitis was still a risk for lower extremity arterial disease (OR: 3.00, 95% CI 2.23-4.04, P < 0.001, I² = 0%) and carotid artery disease (OR: 1.39, 95% CI 1.24-1.56, P < 0.001, I² = 79.4%). Periodontitis is significantly associated with the incidence of lower extremity arterial disease and carotid artery disease.
Medical and non-medical cannabis use and risk of prescription opioid use disorder: Findings from propensity score matching.

INTRODUCTION AND AIMS Previous research suggested that cannabis use was associated with increased risks of prescription opioid misuse and use disorder. This study examined whether these associations differed by cannabis use purpose. DESIGN AND METHODS This is a secondary analysis of cross-sectional surveys with propensity score matching. Medical cannabis users (N = 1295), cannabis dual users with both medical and non-medical purposes (N = 707) and non-medical cannabis users (N = 18 666) were compared with cannabis non-users (N = 57 196) in the pooled 2013-2016 US nationally representative National Survey on Drug Use and Health. Propensity score models were applied to match cannabis non-users to cannabis users with different purposes with respect to potential confounders in individual socioeconomic characteristics, other substance use disorders and health conditions. In a matched sample, logistic regressions were used to assess associations. RESULTS Propensity score matching considerably improved the balance of the potential confounders between cannabis non-users and users. In a matched sample, non-medical cannabis use was associated with increased risks of prescription opioid misuse (OR = 3.15, 95%CI: 2.89-3.44) and use disorder (OR = 2.52, 95%CI: 2.06-3.10). Cannabis dual use and medical cannabis use were associated with increased risks of prescription opioid misuse (OR = 2.55, 95%CI: 1.78-3.65; OR = 2.15, 95%CI: 1.58-2.91, respectively), but they were not associated with prescription opioid use disorder. DISCUSSION AND CONCLUSIONS Medical and non-medical cannabis use both were both associated with increased risks of prescription opioid misuse. Medical cannabis use, however, was not associated with prescription opioid use disorder, and non-medical cannabis was. There appeared to be differential associations between cannabis use and prescription opioid use disorder by cannabis use purpose.
Blastocyst activation engenders transcriptome reprogram affecting X-chromosome reactivation and inflammatory trigger of implantation

Significance Our data systematically and comprehensively reveal the genetic programming of blastocyst for implantation in a delayed implantation mouse model. By analyzing the transcriptional profile, we demonstrate dynamic changes in the biosynthesis, metabolism, and cell proliferation during blastocyst reactivation from diapause. We have analyzed the global remodeling of ICM and TE, respectively, and disclosed the critical cellular and molecular events during implantation. Furthermore, our results suggest that an activating blastocyst functions as a proinflammatory body to trigger an inflammatory-like attachment response. Thus, we demonstrate a previously undefined role of blastocyst during implantation. We believe that the findings in this study substantially advance scientific understanding of the inflammatory-attachment response during implantation. Implantation of the blastocyst into the uterus is the gateway for further embryonic development in mammals. Programming of blastocyst to an implantation-competent state known as blastocyst activation is the determining factor for implantation into the receptive uterus. However, it remains largely unclear how the blastocyst is globally programmed for implantation. Employing a delayed implantation mouse model, we show here that the blastocyst undergoes extensive programming essential for implantation. By analyzing the transcriptional profile of blastocysts with different implantation competency, we reveal the dynamic change in the biosynthesis, metabolism, and proliferation during blastocyst reactivation from diapause. We also demonstrate that reactivation of the X chromosome, one of the most important events during periimplantation of female embryonic development, is not completed even in blastocysts under conditions of dormancy, despite long term suspension in the uterus. Moreover, the mural trophectoderm (TE), but not the polar TE, differentiates to be more invasive through the weakened cell-cell tight junctions and extracellular matrices (ECMs). By analyzing the differentially expressed profile of secretory proteins, we further demonstrate that the blastocyst functions as a proinflammatory body to secrete proinflammatory signals, such as TNFα and S100A9, thereby triggering embryo-uterine attachment reaction during implantation. Collectively, our data systematically and comprehensively disclose the programming of blastocyst reactivation from diapause for implantation and uncover previously undefined roles of blastocyst during implantation.
Synonym Relationship Discovery for Knowledge Organization System Based on Paired Translation Information

Synonym relationship is one of the most important relationships for knowledge organization systems. In this paper, we propose a series of methods on synonym relationship discovery based on paired translation information already in knowledge organization systems. The translations amount and the translation concurrence strength are inputs of similarity, which then calculated by Boolean comparison, conditional mutual information and cosine similarity of vector space model. With the output of these methods, synonym relationships are discovered and constructed. Precision and richness are used as the indexes to evaluate the methods. With an experiment in new energy vehicles domain, it is found that the effects of the result are acceptable and have the potential to be improved by more translation pairs. Keywords—knowledge organization system; Chinese scientific and technical vocabulary system; synonym relationship discovery; paired translation information
The Reynolds number modulated low frequency dynamical modes of aqueous medium embedded spherical virus and implications to detecting and killing viruses

The effect of high and low Reynolds number is studied on low frequency dynamical modes of a spherical virus embedded in an aqueous medium using classical Lamb's model which is based on the elastic continuum model. The elastic continuum model at nanometre scale results in to the two types of quantized dynamical modes. Some of these modes are Raman active and can be observed in low frequency Raman spectroscopic measurements. To calculate the vibrational modes of a virus we have used with material parameters of lysozyme crystal in water. The obvious size effect on the vibrational modes is observed. The estimated damping time which is of the order of picosecond varies with Reynolds number and shows a high value for a critical Reynolds number suggesting the high probability to detect or kill the virus using corresponding virus-water configuration.
Cyborg Organoids: Implantation of Nanoelectronics via Organogenesis for Tissue-Wide Electrophysiology

Tissue-wide electrophysiology with single-cell and millisecond spatiotemporal resolution is critical for heart and brain studies, yet issues arise from invasive, localized implantation of electronics that destructs the well-connected cellular networks within matured organs. Here, we report the creation of cyborg organoids: the three-dimensional (3D) assembly of soft, stretchable mesh nanoelectronics across the entire organoid by cell-cell attraction forces from 2D-to-3D tissue reconfiguration during organogenesis. We demonstrate that stretchable mesh nanoelectronics can grow into and migrate with the initial 2D cell layers to form the 3D structure with minimal interruptions to tissue growth and differentiation. The intimate contact of nanoelectronics to cells enables us to chronically and systematically observe the evolution, propagation and synchronization of the bursting dynamics in human cardiac organoids through their entire organogenesis.