Miracle-dz/UniFAR-FTUs huggingface dataset:
Cross-Sectional and Longitudinal Associations between 24-Hour Movement Behaviours, Recreational Screen Use and Psychosocial Health Outcomes in Children: A Compositional Data Analysis Approach

It remains unclear whether the time-use composition of 24-h movement behaviours (sleep, sedentary time (ST), physical activity (PA)) and recreational screen use are independently associated with psychosocial health. This study examined the cross-sectional and longitudinal associations between 24-h movement behaviour composition, recreational screen use and psychosocial health outcomes in children. Measures completed at baseline (n = 127; 11.7 years) and follow-up (n = 88; 12.8 years) included accelerometer-based 24-h movement behaviours, self-reported recreational screen use and psychosocial health (Strengths and Difficulties Questionnaire, Kessler’s Psychological Distress Scale). Linear mixed models were used to examine the cross-sectional and longitudinal associations between the 24-h movement behaviour composition and recreational screen use levels with psychosocial health outcomes. Overall, the movement behaviour composition (p < 0.05) and recreational screen use levels (p < 0.01) were both cross-sectionally but not longitudinally associated with psychosocial health outcomes. Relative to other behaviours, sleep was negatively associated, while light-intensity PA was positively associated with internalising problems and total difficulties scores. ST was positively associated with internalising problems. High levels of recreational screen use (>2 h/day) were associated with greater externalising problems, total difficulties scores and psychological distress. These findings reinforce the importance of achieving a balance between different types of movement behaviours over a 24-h period for psychosocial health.
ECM Remodeling in Squamous Cell Carcinoma of the Aerodigestive Tract: Pathways for Cancer Dissemination and Emerging Biomarkers

Simple Summary Local and distant metastasis of patients affected by squamous cell carcinoma of the upper aerodigestive tract predicts poor prognosis. In the latest years, the introduction of new therapeutic approaches, including targeted and immune therapies, has improved the overall survival. However, a large number of these patients do not benefit from these treatments. Thus, the identification of suitable prognostic and predictive biomarkers, as well as the discovery of new therapeutic targets have emerged as a crucial clinical need. In this context, the extracellular matrix represents a suitable target for the development of such therapeutic tools. In fact, the extracellular matrix is composed by complex molecules able to interact with a plethora of receptors and growth factors, thus modulating the dynamic crosstalk between cancer cells and the tumor microenvironment. In this review, we summarize the current knowledge of the role of the extracellular matrix in affecting squamous cell carcinoma growth and dissemination. Despite extracellular matrix is known to affect the development of many cancer types, only a restricted number of these molecules have been recognized to impact on squamous cell carcinoma progression. Thus, we consider that a thorough analysis of these molecules may be key to develop new potential therapeutic targets/biomarkers. Abstract Squamous cell carcinomas (SCC) include a number of different types of tumors developing in the skin, in hollow organs, as well as the upper aerodigestive tract (UADT) including the head and neck region and the esophagus which will be dealt with in this review. These tumors are often refractory to current therapeutic approaches with poor patient outcome. The most important prognostic determinant of SCC tumors is the presence of distant metastasis, significantly correlating with low patient survival rates. Rapidly emerging evidence indicate that the extracellular matrix (ECM) composition and remodeling profoundly affect SSC metastatic dissemination. In this review, we will summarize the current knowledge on the role of ECM and its remodeling enzymes in affecting the growth and dissemination of UADT SCC. Taken together, these published evidence suggest that a thorough analysis of the ECM composition in the UADT SCC microenvironment may help disclosing the mechanism of resistance to the treatments and help defining possible targets for clinical intervention.
A facile and green preparation of nanosilica-supported antioxidant and its reinforcement and antioxidation effect on styrene-butadiene rubber

ABSTRACT A novel solid-phase method has been proposed to prepare a nanosilica-supported antioxidant by the reaction of nanosilica with 2-mercaptobenzimidazole (MB) and silane coupling agent γ-chloropropyltriethoxysilane. Fourier transform-infrared spectroscopy and other characterization methods confirmed that MB was chemically bonded onto the surface of nanosilica. Silica-s-MB was homogeneously dispersed in a styrene-butadiene rubber (SBR) matrix with strong filler-rubber interaction, leading to enhanced mechanical performance of SBR/silica-s-MB composites compared with SBR/m-silica composites. Based on the results of thermo-oxidation testing of SBR/silica-s-MB and SBR/m-silica/MB composites containing equivalent antioxidant component, silica-s-MB showed better antioxidative efficiency than the corresponding low-molecular-weight MB owing to its lower migration and volatility at high temperature.
A qualitative study exploring the experience of the Medical Intern Programme: Supportive transition for international doctors working in the NHS

Background: The UK is experiencing a shortage of doctors. Consequently, the Medical Intern Programme, a unique two year programme consisting of an observership, four clinical rotations at the level of a foundation doctor within an NHS Trust and a postgraduate diploma from a university in the north of England, was set up to enhance the NHS workforce by facilitating the entry of international medical graduates into UK medicine via a supported transitional programme. We aimed to explore the experiences of the doctors enrolled on the Medical Intern Programme. Methods: Semi-structured interviews were conducted via the telephone with seven doctors enrolled on the programme. The interview guide was informed by the research questions and data were analysed using a thematic analysis. Results: We identified four themes that were important in the experiences of the doctors: preparing to work in the UK, feeling supported, weighing up the pros and cons of the programme and comparisons between countries. Conclusions: The Medical Intern Programme successfully facilitated international doctors' transition to the UK and working in the NHS. Support needs to be provided at the organisational, team and individual level including a period of observing and shadowing to enable the doctors to understand the systems and multidisciplinary team working in the NHS.
Maternal Cigarette Smoking and Cleft Lip and Palate: A Systematic Review and Meta-Analysis

Objectives A systematic review and meta-analysis to determine the association between active maternal smoking and cleft lip and palate etiology. Data sources Medline, Embase, Web of Science and the Cochrane Library from inception to November, 2020. Study selection Observational studies of cigarette smoking habits in pregnant women. Outcomes included cleft lip and/or palate, cleft lip ± palate and cleft palate only. Data analysis Publication bias analyses were performed and the Newcastle Ottawa scales were used to assess study quality. Fixed or random effect models were used in the meta-analysis, dependent on risk of statistical heterogeneity. Results Forty-five studies were eligible for inclusion of which 11 were cohort and 34 were case–control studies. Sixteen studies were of sufficient standard for inclusion in the meta-analysis. The summary odds ratio for the association between smoking and cleft lip and/or palate was 1.42 (95%CI 1.27-1.59) with a population attributable fraction of 4% (95%CI 3%-5%). There was limited evidence to show a dose–response effect of smoking. Conclusions This review reports a moderate association between maternal smoking and orofacial cleft but the overall quality of the conventional observational studies included was poor. There is a need for high quality and novel research strategies to further define the role of smoking in the etiology of cleft lip and palate.
Drive aware training: A computerized training program for older drivers’ detection of road hazards

Abstract Objective Cognitive training for reducing crash rate can be delivered to older drivers via in-person on-road sessions, a driving simulator, or using computer-based cognitive methods. Despite established effectiveness, in-person on-road assessment and rehabilitation are expensive, and limited professional service may not be readily accessible; simulator-based training may not fit every driver due to simulator sickness. In comparison, computerized training is easier to implement and could be delivered with little cost to older drivers with computer access. Based on the Drive Aware Task, a validated measure of attentional processes in hazard detection, we developed a computerized cognitive training method with a focus on hazard detection. In this study, we examined the effectiveness of this newly-developed interactive training program in improving older drivers’ detection of road hazards. Methods Using a matched-pair design, nine triads of three older drivers (aged 65 or above) with matched pretest performance and gender were formed. For each triad, each participant was randomly allocated to one of the three groups: 1) active training group to receive the two training sessions (1.5–2.5h per session); 2) passive training group to receive two video-watching sessions (i.e., watch the video of training session performance from the corresponding paired participant); 3) no-contact control group. Older drivers’ performances on hazard detection and simulated driving were measured before and after training. Results The active training group showed significant training effects on the computerized hazard detection task and simulated driving performance, while there were only marginal effects in the passive training group and no effects in the no-contact control group. A post-training survey suggested older drivers were receptive to the Drive Aware training program. Conclusions The computerized Drive Aware training program has the potential to be used as a prevention and intervention tool to improve older drivers’ hazard detection performance. Future studies should examine the effectiveness of this tool in more diverse samples and in long-term outcomes.
Identical sequences found in distant genomes reveal frequent horizontal transfer across the bacterial domain

Horizontal gene transfer (HGT) is an essential force in microbial evolution. Despite detailed studies on a variety of systems, a global picture of HGT in the microbial world is still missing. Here, we exploit that HGT creates long identical DNA sequences in the genomes of distant species, which can be found efficiently using alignment-free methods. Our pairwise analysis of 93,481 bacterial genomes identified 138,273 HGT events. We developed a model to explain their statistical properties as well as estimate the transfer rate between pairs of taxa. This reveals that long-distance HGT is frequent: our results indicate that HGT between species from different phyla has occurred in at least 8% of the species. Finally, our results confirm that the function of sequences strongly impacts their transfer rate, which varies by more than three orders of magnitude between different functional categories. Overall, we provide a comprehensive view of HGT, illuminating a fundamental process driving bacterial evolution.
Association between birthweight, cardiovascular risk factors, and depression in young Mexican adults.

BACKGROUND the aim of this study was to investigate the association between birthweight, cardiovascular disease (CVD) risk factors, and depression in young Mexican adults. METHODS birthweight reports, family history of CVD and diabetes-related diseases, anthropometrics, serum lipid profile (total cholesterol [TC], triglycerides [TG], high-density lipoprotein-cholesterol [HDL-C], low-density lipoprotein-cholesterol [LDL-C], and very-low density lipoprotein-cholesterol [VLDL-C]), and depressive symptoms were measured in 778 subjects of the UP-AMIGOS cohort study. To investigate the association between birthweight categories and CVD risk factors and depression, a one-way analysis of variance with post-hoc test was performed of quantitative variables, and 2 test for qualitative variables. RESULTS mean age was 17.8 years and 469 (60.3 %) of patients were female (n = 469, 60.3 %). The percentage of patients with low birthweight (LBW) was 8.1 % (n = 63), and 3.3 % (n = 26) reported high birthweight (HBW). Young adults with HBW were associated with elevated diastolic blood pressure (DBP), and high weight and body mass index (BMI) when compared to LBW subjects, the difference being statically significant (p < 0.05). Birthweight had no significant association with depression (p > 0.67). CONCLUSION the findings from this population-based study revealed a positive relation between birthweight categories and some CVD risk factors. Depression was not related to birthweight.
Confounding by Socioeconomic Status in Epidemiological Studies of Air Pollution and Health: Challenges and Opportunities

Background: Despite a vast air pollution epidemiology literature to date and the recognition that lower-socioeconomic status (SES) populations are often disproportionately exposed to pollution, there is little research identifying optimal means of adjusting for confounding by SES in air pollution epidemiology, nor is there a strong understanding of biases that may result from improper adjustment. Objective: We aim to provide a conceptualization of SES and a review of approaches to its measurement in the U.S. context and discuss pathways by which SES may influence health and confound effects of air pollution. We explore bias related to measurement and operationalization and identify statistical approaches to reduce bias and confounding. Discussion: Drawing on the social epidemiology, health geography, and economic literatures, we describe how SES, a multifaceted construct operating through myriad pathways, may be conceptualized and operationalized in air pollution epidemiology studies. SES varies across individuals within the contexts of place, time, and culture. Although no single variable or index can fully capture SES, many studies rely on only a single measure. We recommend examining multiple facets of SES appropriate to the study design. Furthermore, investigators should carefully consider the multiple mechanisms by which SES might be operating to identify those SES indicators that may be most appropriate for a given context or study design and assess the impact of improper adjustment on air pollution effect estimates. Last, exploring model contraction and expansion methods may enrich adjustment, whereas statistical approaches, such as quantitative bias analysis, may be used to evaluate residual confounding. https://doi.org/10.1289/EHP7980
Super-Refractory Status Epilepticus in Children: A Retrospective Cohort Study

Supplemental Digital Content is available in the text. OBJECTIVES: To characterize the pediatric super-refractory status epilepticus population by describing treatment variability in super-refractory status epilepticus patients and comparing relevant clinical characteristics, including outcomes, between super-refractory status epilepticus, and nonsuper-refractory status epilepticus patients. DESIGN: Retrospective cohort study with prospectively collected data between June 2011 and January 2019. SETTING: Seventeen academic hospitals in the United States. PATIENTS: We included patients 1 month to 21 years old presenting with convulsive refractory status epilepticus. We defined super-refractory status epilepticus as continuous or intermittent seizures lasting greater than or equal to 24 hours following initiation of continuous infusion and divided the cohort into super-refractory status epilepticus and nonsuper-refractory status epilepticus groups. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We identified 281 patients (157 males) with a median age of 4.1 years (1.3–9.5 yr), including 31 super-refractory status epilepticus patients. Compared with nonsuper-refractory status epilepticus group, super-refractory status epilepticus patients had delayed initiation of first nonbenzodiazepine-antiseizure medication (149 min [55–491.5 min] vs 62 min [33.3–120.8 min]; p = 0.030) and of continuous infusion (495 min [177.5–1,255 min] vs 150 min [90–318.5 min]; p = 0.003); prolonged seizure duration (120 hr [58–368 hr] vs 3 hr [1.4–5.9 hr]; p < 0.001) and length of ICU stay (17 d [9.5–40 d] vs [1.8–8.8 d]; p < 0.001); more medical complications (18/31 [58.1%] vs 55/250 [22.2%] patients; p < 0.001); lower return to baseline function (7/31 [22.6%] vs 182/250 [73.4%] patients; p < 0.001); and higher mortality (4/31 [12.9%] vs 5/250 [2%]; p = 0.010). Within the super-refractory status epilepticus group, status epilepticus resolution was attained with a single continuous infusion in 15 of 31 patients (48.4%), two in 10 of 31 (32.3%), and three or more in six of 31 (19.4%). Most super-refractory status epilepticus patients (30/31, 96.8%) received midazolam as first choice. About 17 of 31 patients (54.8%) received additional treatments. CONCLUSIONS: Super-refractory status epilepticus patients had delayed initiation of nonbenzodiazepine antiseizure medication treatment, higher number of medical complications and mortality, and lower return to neurologic baseline than nonsuper-refractory status epilepticus patients, although these associations were not adjusted for potential confounders. Treatment approaches following the first continuous infusion were heterogeneous, reflecting limited information to guide clinical decision-making in super-refractory status epilepticus.
The Drosophila melanogaster foraging gene affects social networks

Abstract Drosophila melanogaster displays social behaviors including courtship, mating, aggression, and group foraging. Recent studies employed social network analyses (SNAs) to show that D. melanogaster strains differ in their group behavior, suggesting that genes influence social network phenotypes. Aside from genes associated with sensory function, few studies address the genetic underpinnings of these networks. The foraging gene (for) is a well-established example of a pleiotropic gene that regulates multiple behavioral phenotypes and their plasticity. In D. melanogaster, there are two naturally occurring alleles of for called rover and sitter that differ in their larval and adult food-search behavior as well as other behavioral phenotypes. Here, we hypothesize that for affects behavioral elements required to form social networks and the social networks themselves. These effects are evident when we manipulate gene dosage. We found that flies of the rover and sitter strains exhibit differences in duration, frequency, and reciprocity of pairwise interactions, and they form social networks with differences in assortativity and global efficiency. Consistent with other adult phenotypes influenced by for, rover-sitter heterozygotes show intermediate patterns of dominance in many of these characteristics. Multiple generations of backcrossing a rover allele into a sitter strain showed that many but not all of these rover-sitter differences may be attributed to allelic variation at for. Our findings reveal the significant role that for plays in affecting social network properties and their behavioral elements in Drosophila melanogaster.
Quality of life of stroke survivors: A cross-sectional study of association with functional independence, self-reported fatigue and exercise self-efficacy

Objectives Stroke is a leading cause of disability and one of the most debilitating conditions especially in the developing world. Rehabilitation focuses on improving functional ability which may enhance quality of life (QoL). The aims of this study were to investigate the association between QoL and each of functional independence (FI), self-reported fatigue (SRF) and exercise self-efficacy (ESE) in stroke survivors. Methods This is a descriptive cross-sectional survey, documenting QoL, FI, SRF and ESE of stroke survivors seen at the physiotherapy outpatient clinics of two health care facilities in Oyo state, Nigeria. Descriptive and inferential statistics were used to analyse the data with significance level set at 0.05. Results Participants were 110 stroke survivors (64 males; 46 females) aged 60.9 ± 11.9 years. Significant associations were found between QoL and each of FI and ESE (p < 0.01) while no significant association was observed for SRF. FI strongly predicts good QoL in stroke survivors (OR = 16.34; p < 0.01) and high ESE is a determinant of QoL (OR = 6.46; p = 0.04). Stroke survivors with SRF were less likely to report good QoL. Discussion Functional independence and exercise self-efficacy were directly associated with QoL and were also major predictors of good QoL in stroke survivors.
Spc1 regulates the signal peptidase-mediated processing of membrane proteins

ABSTRACT Signal peptidase (SPase) cleaves the signal sequences (SSs) of secretory precursors. It contains an evolutionarily conserved membrane protein subunit, Spc1, that is dispensable for the catalytic activity of SPase and whose role remains unknown. In this study, we investigated the function of yeast Spc1. First, we set up an in vivo SPase cleavage assay using variants of the secretory protein carboxypeptidase Y (CPY) with SSs modified in the N-terminal and hydrophobic core regions. When comparing the SS cleavage efficiencies of these variants in cells with or without Spc1, we found that signal-anchored sequences became more susceptible to cleavage by SPase without Spc1. Furthermore, SPase-mediated processing of model membrane proteins was enhanced in the absence of Spc1 and was reduced upon overexpression of Spc1. Spc1 co-immunoprecipitated with proteins carrying uncleaved signal-anchored or transmembrane (TM) segments. Taken together, these results suggest that Spc1 protects TM segments from SPase action, thereby sharpening SPase substrate selection and acting as a negative regulator of the SPase-mediated processing of membrane proteins.
Fused CNN-LSTM deep learning emotion recognition model using electroencephalography signals

Abstract Introduction: The traditional machine learning-based emotion recognition models have shown effective performance for classifying Electroencephalography (EEG) based emotions. Methods: The different machine learning algorithms outperform the various EEG based emotion models for valence and arousal. But the downside is to devote numerous efforts to designing features from the given noisy signals which are also a very time-consuming process. The Deep Learning analysis overcomes the hand-engineered feature extraction and selection problems. Results: In this study, the Database of Emotion analysis using Physiological signals (DEAP) has been visualized to classify High-Arousal- Low-Arousal (HALA), High-Valence-Low-Valence (HVLV), familiarity, Dominance and Liking emotions. The fusion of deep learning models, namely CNN and LSTM-RNN seems to perform better for the analysis of emotions using EEG signals. The average accuracies analyzed by the fused deep learning classification model for DEAP are 97.39%, 97.41%, 98.21%, 97.68%, and 97.89% for HALA, HVLV, familiarity, dominance and liking respectively. The model has been evaluated over the SJTU Emotion EEG Dataset (SEED) dataset too for the detection of positive and negative emotions, which results with an average accuracy of 93.74%. Conclusion: The results show that the developed model can classify the inner emotions of different EEG based emotion databases.