Miracle-dz/UniFAR-FTUs huggingface dataset:
Resilience and Higher Education Support as Protective Factors for Student Academic Stress and Depression During Covid-19 in the Netherlands

Background: The corona pandemic has forced higher education (HE) institutes to transition to online learning, with subsequent implications for student wellbeing. Aims: This study explored influences on student wellbeing throughout the first wave of the corona crisis in the Netherlands by testing serial mediation models of the relationships between perceived academic stress, depression, resilience, and HE support. Methods: The Covid-19 International Student Wellbeing Study (C19 ISWS) was used, with a total sample of 2,480 higher education students studying at InHolland Universities of Applied Sciences in the Netherlands. Student subgroups were created, so that students with low and high perceived academic stress could be assessed, in addition to depressed and non-depressed students. Predictive model fit was tested using Macro PROCESS. Results: A significant serial mediation model for the total student sample was revealed, including protective mediating effects of resilience and HE support on the positive direct effect of perceived academic stress on depression. At subgroup level, significant (partial) predictive effects of resilience on depression scores were noted. A partial serial effect between resilience and HE support was found for students with low perceived stress levels, whereas a parallel partial mediation model was present among highly academically stressed students. Regarding non-depressed students, a full parallel mediation model was found, whereas the model for depressed students inadequately explained the data. Conclusions: Overall, resilience and HE support mediate the predictive effect of academic stress on depressive symptoms among students. In addition, substantial differences in model fit arise when inspecting the students on a subgroup level. These findings contribute to the gap in knowledge regarding student wellbeing during the Covid-19 pandemic in the Netherlands, in addition to providing novel insights on student subgroup dynamics. While Covid-19 restrictions continue to demand online learning, student wellbeing may be enhanced overall by targeting resilience and increasing awareness and availability of HE support services. The current study also highlights the need for differential approaches when examining wellbeing for specific student groups.
Sex-Specific Effect of Serum Lipids and Body Mass Index on Psychotic Symptoms, a Cross-Sectional Study of First-Episode Psychosis Patients

Background: Schizophrenia is a disorder with considerable heterogeneity in course and outcomes, which is in part related to the patients' sex. Studies report a link between serum lipids, body mass index (BMI), and therapeutic response. However, the role of sex in these relationships is poorly understood. In a cross-sectional sample of first-episode psychosis (FEP) patients, we investigated if the relationship between serum lipid levels (total cholesterol, HDL-C, LDL-C, and triglycerides), BMI, and symptoms differs between the sexes. Methods: We included 435 FEP patients (males: N = 283, 65%) from the ongoing Thematically Organized Psychosis (TOP) study. Data on clinical status, antipsychotics, lifestyle, serum lipid levels, and BMI were obtained. The Positive and Negative Syndrome Scale (PANSS) and the Calgary Depression Scale for Schizophrenia (CDSS) were used to assess psychotic and depressive symptoms. General linear models were employed to examine the relationship between metabolic variables and symptomatology. Results: We observed a female-specific association between serum HDL-C levels and negative symptoms (B = −2.24, p = 0.03) and between triglycerides levels (B = 1.48, p = 0.04) and BMI (B = 0.27, p = 0.001) with depressive symptoms. When controlling for BMI, only the association between serum HDL-C levels and negative symptoms remained significant. Moreover, the HDL-C and BMI associations remained significant after controlling for demography, lifestyle, and illness-related factors. Conclusion: We found a relationship between metabolic factors and psychiatric symptoms in FEP patients that was sex-dependent.
Management of non-compressible torso hemorrhage of the abdomen in civilian and military austere/remote environments: protocol for a scoping review

The management of non-compressible torso hemorrhage in military austere/remote environments is a leading cause of potentially preventable death in the prehospital/battlefield environment that has not shown a decrease in mortality in 26 years. Numerous conceptual innovations to manage non-compressible torso hemorrhage have been developed without proven effectiveness in this setting. This scoping review aims to assess the current literature to define non-compressible torso hemorrhage in civilian and military austere/remote environments, assess current innovations and the effectiveness of these innovations, assess the current knowledge gaps and potential future innovations in the management of non-compressible torso hemorrhage in civilian and military austere/remote environments, and assess the translational health science perspective of the current literature and its potential effect on public health. The Joanna Briggs Institute for evidence synthesis will guide this scoping review to completion. A nine-step development process, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist, will be used to enhance the methodological and reporting quality of this scoping review. The Participant, Concept, Context framework will broaden this scoping review’s reach in developing a comprehensive search strategy. Thirty years will be explored to assess all relevant literature to ensure a thorough search. Two researchers will explore all the discovered literature and develop consensus on the selected literature included in this scoping review. The article will undergo review and data extraction for data analysis. The knowledge to action framework will guide the knowledge synthesis and creation of this scoping review. A narrative synthesis will systematically review and synthesize the collected literature to produce and explain a broad conclusion of the selected literature. Lastly, a consultation exercise in the form of qualitative interviews will be conducted to assess the thematic analysis results and validate the result of this scoping review. This scoping review will require Institutional Review Board approval for the expert consultation in the form of qualitative interviews. Consultants’ identifying information will remain confidential. The collected and analyzed data from this scoping review will identify gaps in the literature to create an evidence-informed protocol for the management of non-compressible torso hemorrhage of the abdomen in civilian and military austere/remote environments. The results of this scoping review will be distributed in peer-reviewed journals and educational, medical presentations. Scoping Review Protocol, Level IV.
DDDT_A_328682 3893..3901

*These authors contributed equally to this work Abstract: High intra-abdominal pressure induced by artificial pneumoperitoneum can obviously impair respiratory and circulatory functions and has a negative effect on the prognosis of patients undergoing conventional and robot-assisted laparoscopic surgery. The application of deep neuromuscular blockade during the operation is reported to lower the intra-abdominal pressure and improve patients’ outcome. However, concern lies in the risks of postoperative residual muscular paralysis with the use of deep neuromuscular blockade. Sugammadex, a specific antagonist for aminosteroids muscle relaxants, can effectively and rapidly reverse rocuronium and vecuronium induced neuromuscular blockade of different depths. Thus, sugammadex allows the ability to safeguard the application of deep neuromuscular blockade in laparoscopic operations and helps to alleviate the adverse complications associated with pneumoperitoneum. Here, we review the application of deep neuromuscular blockade in different laparoscopic surgeries and discuss the benefits and possible risks of sugammadex administration in the reversal of deep neuromuscular blockade in these operations.
Nifedipine or Labetalol: Hypertension Management during Pregnancy

Introduction: Hypertension complicates 10% of pregnancies causing significant morbidity and mortality worldwide. It is considered severe hypertension if Systolic >160 and Diastolic >110 lasting more than 15 minutes. It is an Obstetric emergency and needs prompt appropriate treatment. Methods: A quasi-experimental study was conducted at Tehsil Headquarter Hospital. One hundred fifty patients were included in the study divided into two groups: Nifedipine group (n:75) getting oral Nifedipine and Labetalol group (n:75) getting IV Labetalol. Results: This study shows that goal therapeutic blood pressure was reached earlier in patients receiving oral Nifedipine 28.2 ± 11.7minutes as compared with those receiving intravenous Labetalol 48.4 +- 23.5minutes. Fewer doses were required for the nifedipine group in contrast to the IV labetalol group Failure of treatment was higher among the IV labetalol group. Conclusion: Oral nifedipine is as productive and safe as compared to Iv labetalol and is more convenient in Low resource settings.
brModelo: An Initiative for Aiding Database Design

The brModelo tool is a initiative of the UFSC Database Group. Its first version was developed in 2005, and its main purpose is to help teaching of relational database design. Compared to similar tools, its main differentials are the support to all steps of the classical database design methodology, user interaction during the logical design step, as well as the support to all extended Entity-Relationship concepts. With more than fifteen years of existence, the brModelo was very well-accepted by the brazilian Database community, which motivated the development and release of several versions of the tool. This article presents the history of brModelo, including its available versions and their functionalities. Additionally, we detail its functionalities and compare it with popular related tools.
A review on: Alternatives to animal experimental models

An English solicitor, Jeremy Bentham, disdained the unregulated use of livestock, in the literature of 1780, which cast doubt on the inability to pay morale to animals. Animal experiment was fundamental to scientific science during his life, but it has also been a question of heated popular and intellectual discourse from decades. Since then, general understanding and attitudes have strengthened against the unethical or cruel application of animals for research purposes. Russell & Burch provided in 1959 the principles set out during UFAW of the clinical lab method. The alternative measures, replacements, or non-animal steps shall be used as alternatives for live animal methods, or methods of measurement without live animal use. The term 'alternative' refers to approaches or strategies that substitute the overall use of laboratory animals, minimize the number of animals used, or enhance a current system or technology to reduce animal stress. In recent years, the creation of alternatives to animals has been accelerated by designing projects with the intention of developing and introducing alternatives. This report summarizes the key potential approaches to animal science. An integrated use of these techniques will offer an insight into the minimal use of animals for experimental research.
Environmental Will, Environmental Behavior
and Knowledge Sharing – an Empirical Study
Based on Resource-based Enterprises

Resource-based enterprises, as an important part of China’s macro-economy and an important guarantee for the operation of the national economy, have brought serious environmental pollution problems as well as great economic benefits. Under the background of the new era of ecological priority in China, the analysis of the environmental behavior choice of resource-based enterprises as micro-subjects is of guiding significance to the construction of environmental governance system in China. Based on the results of 503 questionnaires of resource-based enterprises, this paper combs the internal mechanism of corporate reputation, leader awareness, technical support and market profits influencing corporate environmental behavior, introduces corporate environmental will as mediating variable, knowledge sharing and corporate social responsibility as regulating variable, constructs a theoretical model of corporate environmental behavior drivers. The hypothesis is put forward and tested by Structural Equation Model and Hierarchical Regression Analysis. The results show that: corporate reputation, leader awareness, technical support and market profits all have significant positive effects on corporate environmental will; At the same time, corporate environmental will plays a full intermediary role in the process of corporate reputation and leader awareness influencing the corporate environmental behavior, and has part of the intermediary role in the process of technical support and market profits influencing corporate environmental behavior. Knowledge sharing plays a moderating role in the process of transforming leader awareness into corporate environmental behavior. When the level of knowledge sharing is higher, it has a strong regulatory effect on the transformation of leader awareness to the corporate environmental will.
Migration effects on the intestinal microbiota of Tibetans

Background Diet, environment, and genomic context have a significant impact on humans’ intestinal microbiota. Moreover, migration may be accompanied by changes in human eating habits and living environment, which could, in turn, affect the intestinal microbiota. Located in southwestern China, Tibet has an average altitude of 4,000 meters and is known as the world’s roof. Xianyang is situated in the plains of central China, with an average altitude of about 400 meters. Methods To understand the association between intestinal microbiota and population migration, we collected the fecal samples from 30 Tibetan women on the first day (as TI1st), six months (as TI2nd), and ten months (as TI3rd) following migration from Tibet to Xianyang. Fecal samples were collected from 29 individuals (belonging to the Han women) as a control. The dietary information of the Tibetan women and the Han women was gathered. We performed a 16S rRNA gene survey of the collected fecal samples using Illumina MiSeq sequencing. Results Following the migration, the alpha and beta diversity of Tibetan women’s intestinal microbiota appeared unaffected. Linear discriminant analysis effect size (LEfSe) analysis showed that Klebsiella, Blautia, and Veillonella are potential biomarkers at TI1st, while Proteobacteria and Enterobacteriaceae were common in TI3rd. Finally, functional prediction by phylogenetic investigation of communities by reconstruction of unobserved states (PICRUSt) found no significant up-regulation or down-regulation gene pathway in the intestinal microbiota of Tibetan women after migration. The present study reveals that the higher stability in Tibetan women’s intestinal microbiota was less affected by the environment and diet, indicating that Tibetan women’s intestinal microbiota is relatively stable. The main limitations of the study were the small sample size and all volunteers were women.
Competitive Product Identification and Sales Forecast Based on Consumer Reviews

Sellers readily obtain consumer product evaluations from online reviews in order to identify competitive products in detail and predict sales. Firstly, we collect product review data from shopping websites, social media, product communities, and other online platforms to identify product competitors with the help of word-frequency cooccurrence technology. We take mobile phones as an example to mine and analyze product competition information. Then, we calculate the product review quantity, review emotion value, product-network heat, and price statistics and establish the regression model of online product review forecasts. In addition, the neural-network model is established to suggest that the relationships among factors are linear. On the basis of analyzing and discussing the impact of product sales of the competitors, product price, the emotional value of the reviews, and product-network popularity, we construct the sales forecast model. Finally, to verify the validity of the factor analysis affecting the sales and the rationality of the established model, actual sales data are used to further analyze and verify the model, showing that the model is reasonable and effective.
NSS_A_323286 1533..1544

1Department of Respiratory and Critical Care Medicine, Senior Department of Respiratory and Critical Care Medicine, The First Medical Center of PLA General Hospital, Beijing, People’s Republic of China; 2Senior Department of Cardiology, The Six Medical Center of PLA General Hospital, Beijing, People’s Republic of China; 3Senior Department of Respiratory and Critical Care Medicine, The Eighth Medical Center PLA General Hospital, Beijing, People’s Republic of China Background: Obstructive sleep apnea (OSA), the most common upper-airway disease, is closely associated with the risk of cardiovascular diseases. However, the early screening of OSA is a main challenge, relying on polysomnography (PSG) or home sleep apnea test (HSAT) in hospitals. Photoplethysmography (PPG) has been developed as a novel technology for screening of OSA, while the validation of PPG-based smart devices is limited compared to that for PSG or HSAT devices. Objective: This study aimed to investigate the feasibility and validity of a PPG-based smartwatch in the screening of OSA. Methods: A total of 119 patients were recruited from the Chinese People’s Liberty Army General Hospital (Beijing, China). Among them, 20 patients were assessed for a whole-night sleep study by a smartwatch and PSG simultaneously, as well as 82 cases by a smartwatch and HSAT simultaneously. Using PSG or HSAT as the “gold standard”, we compared the accuracy, sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and positive likelihood ratio (+LR) or negative likelihood ratio (-LR) at three apnea hypopnea index (AHI) levels: AHI≥5, AHI≥15, and AHI≥30. Results: A total of 17/119 patients were excluded from the study due to the poor quality of PPG signals. Among the remaining cases, 83 patients were diagnosed with OSA. Compared to HSAT device, the accuracy, sensitivity, and specificity of the PPG-based smartwatch in predicting moderate-to-severe OSA patients (AHI≥15) were 87.9%, 89.7%, and 86.0%, respectively. Compared to PSG device, the accuracy, sensitivity, and specificity of the PPG-based smartwatch in predicting OSA in patients (AHI≥5) were 81.1%, 76.5%, and 100%, respectively. Conclusion: The PPG-based smartwatch outperformed in terms of detecting OSA; nevertheless, validation in a large-scale population is imperative. Trial Registration: Chinese Clinical Trial Registry of the International Clinical Trials Registry Platform of the World Health Organization ChiCTR-OOC-17014138; http://www. chictr.org. cn/showprojen.aspx? proj=24191.
Structural Classification of Basalt FRP at High Temperatures

In this study, two different temperatures are considered to verify the mechanical response of basalt fiber-reinforced polymer specimens. Initially, fibers are subjected to 300°C temperature for 4 hours and 600°C temperature for 2 hours in an electrical muffle furnace effectively. Later, laminates were prepared with these fibers and machined into test strips to verify their mechanical properties by conducting tensile and flexural tests. These laminates were compared with specimens prepared with normal fibers, i.e., fibers without temperature treatment. Moreover, the ductility and elastic behavior of the basalt fiber-laminated specimens are studied to figure out the possible structural applications. The residual stress of specimens subjected to 300°C temperature under tensile loading is about 84%, whereas for 600°C temperature, it is only 13% of maximum stress. A similar trend has been observed for specimens tested under flexural loading condition. Hence, it is concluded that the basalt fiber-reinforced polymer laminate can withstand and depict satisfactory results up to 300°C elevated temperature irrespective of time.
Differences of Anthropometric Characteristics and Cardiovascular Endurance between U18 Football Players

The main purpose of this study was to examine the differences of anthropometric characteristics and cardiovascular endurance of under 18 football players. Thirty-six football players were involved as respondents. Data were collected using Bioelectrical Impedance Analysis monitor scan for evaluating anthropometric characteristics, whereas Yo-Yo Intermittent Recovery Test Level 1 was used for evaluating cardiovascular endurance. Overall results showed that U18 Akademi Mokhtar Dahari football players had a greater performance compared to Zon Keramat football players. Related to BMI, there was a slight difference between both groups. The obtained results showed that there was no significant difference in height (p=0.14), trunk (p=0.14), and legs (p=0.84). However, there were significant differences in weight (p=0.01) and Body Mass Index (p=0.02). There were also significant differences in the result of yoyo test, where Akademi Mokhtar Dahari football players had a better performance (p=0.00). It concludes that the Akademi Mokhtar Dahari football players had better results compared to Zon Kermat football players.
THE FACTORS EFFECT ON BRAND EQUITY IN HIGHER EDUCATION

An issue of university development is the increasing stratification that significantly affects a higher education institution's enrollment and benefit. The higher education institution has realized that the brand increases recognized as an essential determinant of learner choice. The study identifies the components of perceived quality in higher education and examines the model of perceived quality and reputation effect on brand equity. With qualitative and quantitative research methods, the results confirm the four-factor structure of perceived quality and reputation influence brand equity in the higher education sector. The study asserts that perceived quality is considered a reflective construct, including library services, dining service, physical facilities, and academic staff responsiveness. Some managerial implications are proposed based on the research result.
Efficient algorithms and models for mechanical and structural design optimization

In the present work, different algorithms and penalty methods for design optimization of mechanical elements and structures are applied. Seven robust optimization techniques and seven penalty methods are thoroughly investigated and implemented in MATLAB codes. In addition, different optimization models are compared using two benchmark problems, namely, the minimal cost design of a welded beam structure and the optimal buckling design of a functionally graded material column. A performance measure factor is defined to determine the best technique among the implemented optimization algorithms. The results are arranged and nested to make it easy for the reader to figure out each technique characteristics, and hence choose the suitable one for a specific design problem and/or application. Comprehensive computer experimentations were performed, and the best optimization techniques and models have been thoroughly demonstrated. The attained optimal solutions show that, in general, the hybrid algorithms worked better than the stand-alone ones and the sequential quadratic programming (SQP) with global search indicates a superior performance than other techniques. Finally, based on the present study, the adaptive and dynamic penalties need further investigation to become more consistent with the implemented optimization algorithms.