Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of Job Resources and Job Demands on Burnout among Physical Therapy Providers

Job burnout is a threat for physical therapists. Little research has been conducted to identify possible protective factors against burnout in this population. Accordingly, we utilized the job demands-resources (JD-R) model and self-determination theory to guide our examination of basic psychological needs as factors to predict burnout in physical therapists. One hundred and two licensed physical therapists completed surveys. Higher levels of autonomy, competence and relatedness predicted burnout, even after accounting for job demands. Job resources, such as the basic psychological needs outlined by the self-determination theory, along with perceived respect, buffer the negative effects of secondary trauma on burnout. The job resource of perceived respect also buffers the negative effects of the physical demands of the job on burnout. These findings suggest that while job demands can be difficult to change, increasing the fulfillment of job resources can help ameliorate burnout in physical therapists. The present findings highlight the need for workplace interventions which cultivate the satisfaction of the basic psychological needs of autonomy, competence, and relatedness to address burnout among physical therapists.
Avian Collisions with Wind Turbines: A Summary of Existing Studies and Comparisons to Other Sources of Avian Collision Mortality in the United States

It has been estimated that from 100 million to well over 1 billion birds are killed annually in the United States due to collisions with human-made structures, including vehicles, buildings and windows, powerlines, communication towers, and wind turbines. Although wind energy is generally considered environmentally friendly (because it generates electricity without emitting air pollutants or greenhouse gases), the potential for avian fatalities has delayed and even significantly contributed to blocking the development of some windplants in the U.S. Given the importance of developing a viable renewable source of energy, the objective of this paper is to put the issue of avian mortality associated with windpower into perspective with other sources of avian collision mortality across the U.S. The purpose of this paper is to provide a detailed summary of the mortality data collected at windplants and put avian collision mortality associated with windpower development into perspective with other significant sources of avian collision mortality across the United States. We provide a summary of data collected at many of the U.S. windplants and provide annual bird fatality estimates and projections for all wind turbines in the U.S. For comparison, we also review studies of avian collision mortality from other major human-made structures and report annual bird fatality estimates for these sources. Other sources also significantly contribute to overall avian mortality. For example, the National Audubon Society estimates avian mortality due to house cats at 100 million birds per year. Pesticide use, oil spills, disease, etc., are other significant sources of unintended avian mortality. Due to funding constraints, the scope of this paper is limited to examining only avian mortality resulting from collisions with human-made obstacles.
Molecular epidemiology and phylogenomic analysis of Mycobacterium abscessus clinical isolates in an Asian population

Mycobacterium abscessus comprises three subspecies: M. abscessus subsp. abscessus , M. abscessus subsp. bolletii , and M. abscessus subsp. massiliense . These closely related strains are typically multi-drug-resistant and can cause difficult-to-treat infections. Dominant clusters of isolates with increased pathogenic potential have been demonstrated in pulmonary infections in the global cystic fibrosis (CF) population. An investigation was performed on isolates cultured from an Asian, predominantly non-CF population to explore the phylogenomic relationships within our population and compare it to global M. abscessus isolates. Whole-genome-sequencing was performed on M. abscessus isolates between 2017 and 2019. Bioinformatic analysis was performed to determine multi-locus-sequence-type, to establish the phylogenetic relationships between isolates, and to identify virulence and resistance determinants in these isolates. A total of 210 isolates were included, of which 68.5 % (144/210) were respiratory samples. These isolates consisted of 140 (66.6 %) M . abscessus subsp. massiliense , 67 (31.9 %) M . abscessus subsp. abscessus, and three (1.4 %) M . abscessus subsp. bolletii . Dominant sequence-types in our population were similar to those of global CF isolates, but SNP differences in our population were comparatively wider despite the isolates being from the same geographical region. ESX (ESAT-6 secretory) cluster three appeared to occur most commonly in ST4 and ST6 M. abscessus subsp. massiliense , but other virulence factors did not demonstrate an association with isolate subspecies or sample source. We demonstrate that although similar predominant sequence-types are seen in our patient population, cross-transmission is absent. The risk of patient-to-patient transmission appears to be largely limited to the vulnerable CF population, indicating infection from environmental sources remains more common than human-to-human transmission. Resistance and virulence factors are largely consistent across the subspecies with the exception of clarithromycin susceptibility and ESX-3.
Development of a framework for lean production system: An integrative approach

Lean production is one of the alternatives to achieve excellence in the organizational operations. The objective of this study is to develop a lean production system framework by conducting critical analysis and comparative analysis on the existing lean production system frameworks. The study has collected 131 lean production system-related frameworks from the literature survey. The study has identified 39 frameworks using validity and reliability analysis, which is considered as a sample of framework in this study. The study has performed critical analysis on the sample of the frameworks in the aspects of novelty of frameworks, background development of framework, status of verification of frameworks and verification methodology used to verify the proposed frameworks. The study has proposed a framework with the help of domain knowledge, through discussion with experts in the field, comparative analysis as well as reliability and validity analysis. The study clearly discloses major irregularities in lean production system literature such as majority of frameworks have been developed based on novelty concept. The study also found a lack of significant participation of practitioners and consultants in the development of lean production system-related frameworks. The study has identified 11 pillars with the help of comparative analysis. However, finally the study has proposed a framework with the help of 11 pillars and 83 elements in the field of lean production system.
Burden and Transmission Risks of Viral Hepatitis in Southern Ethiopia: Evidence Needed for Prevention and Control Measures

Background Hepatitis B virus (HBV) and hepatitis C virus (HCV) are significant causes of liver-associated morbidity and mortality for millions of people globally. Ethiopia is one of the viral hepatitis–endemic countries with no national strategy for surveillance and limited data. As such, this study aimed to investigated the extent and associated risk factors of HBV and HCV among community members in southern Ethiopia. Methods A community-based cross-sectional study was conducted from January 2020 to August 2020. A structured questionnaire was used to collect behavioral and sociodemographic data. Serum samples were collected and assayed for seromarkers of HBV (HBsAg, anti-HBc, and anti-HBs) and HCV (anti-HCV) using ELISAs. In HBsAg-positive samples, HBV DNA was further quantified using RT-PCR. Data were entered into EpiData 3.1 and analyzed using SPSS 21.0. Descriptive statistics and logistic regression analysis were employed. Results The study included 693 participants. Seromarkers for HBsAg, anti-HCV, anti-HBc, and anti-HBs were found to be 9.5%, 1.4%, 31.1%, and 14.3%, respectively. In 66 HBsAg positives, 57 (86.4%) had quantifiable HBV DNA. Prevalence of current HBV infection (HBsAg+, anti-HBc+, anti-HBs–) and lifetime exposure (positive for either HBsAg or anti-HBc) to HBV were 8.7% and 31.9%, respectively, and 63.1% of participants were vulnerable or had no evidence of prior HBV infection (HBsAg–, anti-HBc–, anti-HBs–). On multivariate logistic regression analysis, multiple sexual contacts, family history of hepatitis infection, alcohol consumption, and khat chewing were significantly associated with HBV. The seroprevalence of HBV was relatively high in this study area. Conclusion This study showed high prevalence of HBV infection, but low prevalence of HCV. This indicates that HBV is a major health problem in this community. Population-based surveillance, care, and treatment, as well as behavioral change and education programs, should be enhanced to minimize risk exposure.
Acromegaly and the Colon: Scoping Beyond the Pituitary

Acromegaly is a complex endocrinological disorder commonly caused by hypersecretion of growth hormone (GH) typically due to pituitary gland tumors. Patients with acromegaly who are successfully treated and biochemically managed have a reasonably average life expectancy. However, it causes a cascade of multi-systemic involvement throughout the patient’s life, including cardiovascular, neuropsychiatric, respiratory, metabolic, neurological, neoplastic, and gastrointestinal involvement, resulting in a higher rate of hospitalization, lower quality of life, and a shorter life expectancy. Although cardiovascular complications are the primary cause of death in patients with acromegaly, malignancy is now emerging as a major killer in these individuals. Colorectal carcinoma has been reported to be prevalent in acromegaly individuals. This review article has compiled studies to demonstrate a link between acromegaly and colorectal neoplasia, intending to provide a strong foundation for their clinical relationship. This article has summarised a potential pathogenic mechanism and provided insights into the clinical presentation of such patients. Furthermore, this article has provided a brief overview of current screening recommendations for colorectal neoplasia in acromegaly patients.
Image Processing Based Approach for False Data Injection Attacks Detection in Power Systems

With more sensors being installed by utilities for accurate control of power grids, there is a growing risk of vulnerability to sophisticated data integrity attacks such as false data injection (FDI), circumventing current bad data detection schemes resulting in inaccurate state estimation solutions. While diverse automated detectors to battle FDI have been grown, such methodologies underestimate the strong analytical abilities of humans. This is while most proposed automated methods need observant human control. Although automated methods provide opportunities to improve scalability, humans can cope with exceptions and new attack trends. In this paper, to address the ever-increasing cyber-attack challenge in power systems, a visualization based attack detection framework using deep learning techniques is developed to provide human security researchers with improved techniques to uncover trends, identify outliers, recognize correlations, and communicate their results. Specifically, we first encode multivariate systems state time-series data into 2D colored images and then utilize a carefully designed deep convolutional neural network (CNN) classifier. The proposed method is developed to allow network operators to immediately capture and visually understand the statistical features of a network attack at a glance. The proposed method has been evaluated on the IEEE 14-bus and IEEE 118-bus systems. Our experiments show that the proposed framework accomplishes high classification accuracy.
Transfer function identification in power system applications

The authors present an introduction to concepts and applications of transfer function identification in power systems. They begin with a brief introduction to transfer function identification methods using least-squares approaches and then discuss applications which include static VAR compensators, model validation applications, and software validation. A comparison is also made between eigenvalues obtained from transfer function identification and small signal analysis. Methods for testing the validity of identified transfer functions are also discussed. >
Local Calibration and Implementation of the Mechanistic-Empirical Pavement Design Guide for Flexible Pavement Design

This paper presents the results of the calibration and implementation of the Mechanistic-Empirical Pavement Design Guide (MEPDG) for the design of flexible pavements in Italy. Local input data for traffic, climate, materials, and subgrade (foundation soil) are evaluated and subsequently arranged, as required by the MEPDG to be used in the associated software. The coefficients of the distress models are derived by means of a comparison between the performances predicted by the MEDPG and those predicted by theoretical equations, which are believed to represent the local distress process of a pavement and/or assumptions prevalently made in Italy. A wide parametric analysis is performed so that the influence in design process attributed to load spectra, temperature, dynamic modulus of asphalt concrete, and resilient modulus of subgrade is shown. The results obtained from MEPDG are compared, according to the hypothesis of zero-maintenance during the service life of a pavement, to those derived from using a local mechanistic-empirical method. As a consequence, the difference between these two design methods is quantified. For a verification of the results obtained from the MEPDG, the 1993 AASHTO guide is used. Subsequently, by using the MEPDG for rehabilitation, a maintenance strategy based on two resurfacings of wearing course of pavement is also investigated, and its effect on the extension of service life of a pavement in contrast with zero-maintenance is shown. Therefore, this work provides the knowledge for locally implementing the MEPDG with significant success both for the assumption of zero-maintenance and resurfacing treatments during the service life of a pavement.
Mathematics Instruction to Promote Mathematics Higher-Order Thinking Skills of Students in Indonesia: Moving Forward

HOTS instruction in mathematics is rarely explicitly programmed by the schoolteacher. As a result, students' HOTS is at the lowest level, especially in national or international assessments. The purpose of this research is to determine why mathematics education in Indonesia does not have a significant effect on student HOTS by conducting a review of several Indonesian publications on the subject. This research is a qualitative method of literature review related to the HOTS of Indonesian mathematics students, and an organized interview triangulated to support the data and information from the literature review. The interview consisted of two critical questions administered using Google Form: implementing active learning and mathematics textbooks on mathematics classroom activities. The results concluded that there were two primary sources of error in mathematics learning to increase HOTS in Indonesia: active learning and current mathematics textbooks. Besides, in teaching and learning practices, the active learning model is rarely used when using official texts that do not promote HOTS for mathematics students in Indonesia.
Resonant cavity enhanced photodetectors (RCE-PDs): structure, material, analysis and optimization

Resonant cavity enhanced photodetectors (RCE-PDs) are promising candidates for applications in high-speed optical communications and interconnections. In these high-speed photodetectors, both high bandwidth and high external quantum efficiency can be achieved simultaneously because of the multipaths of the incident light due to the presence of the Fabry-Perot cavity into which the photodetector is inserted. In this paper, state-of-the-art RCE-PDs are discussed. Different structures of the RCE-PDs such as RCE-PIN, RCE-APD, and RCE-MSM PDs are presented and discussed. The material requirements for the RCE PDs with different material system compositions for the different structures and different wavelengths of the incident light that the photodetectors are sensitive to, are discussed. An overview of the analysis and a SPICE model of the RCE-PDs will be presented. These analyses include the calculations of quantum efficiency, (QE), impulse response and frequency response of RCE-PDs. These analyses are sensitive to the standing wave effect (SWE) and to carrier diffusion, and both effects are studied. Optimization procedures for the design of ultrafast RCE-PDs will be presented, showing how the QE, bandwidth and speed of these photodetectors can be improved by adjusting the parameters of both the cavity and the photodetector itself. Finally, comparisons to experimental results and a survey of the performance of state-of-the-art of RCE-PDs will be presented.
PIK3R1, SPNB2, and CRYAB as Potential Biomarkers for Patients with Diabetes and Developing Acute Myocardial Infarction

Background Young patients with type 2 diabetes mellitus (DM) and acute myocardial infarction (AMI) have high long-term all-cause and cardiovascular mortality rates. We aimed to investigate the differentially expressed genes (DEGs) that might be potential targets for DM patients with AMI. Methods Gene datasets GSE775, GSE19322, and GSE97494 were meta-analyzed to obtain DEGs of the left ventricle myocardium in infarcted mice. Gene datasets including GSE3313, GSE10617, and GSE136948 were meta-analyzed to identify DEGs in diabetes mice. A Venn diagram was used to obtain the overlapping DEGs. KEGG and GO pathway analyses were performed, and hub genes were obtained. Pivotal miRNAs were predicted and validated using the miRNA dataset in GSE114695. To investigate the cardiac function of the screened genes, a MI mouse model was constructed; echocardiogram, qPCR, and ELISA of hub genes were performed; ELISA of hub genes in human blood samples was also utilized. Results A total of 67 DEGs were identified, which may be potential biomarkers for patients with DM and AMI. GO and KEGG pathway analyses were performed, which were mainly enriched in response to organic cyclic compound and PI3K-Akt signaling pathway. The expression of PIK3R1 and SPNB2 increased in the MI group and was negatively correlated to left ventricular ejection fraction (LVEF), whereas that of CRYAB decreased and was positively correlated to LVEF. Patients with high CRYAB expression demonstrated a short hospital stay and the area under the curves of the three protein levels before and after treatment were 0.964, 0.982, and 0.918, suggesting that PIK3R1, SPNB2, and CRYAB may be diagnostic and prognostic biomarkers for the diabetes patients with AMI. Conclusion The screened hub genes, PIK3R1, SPNB2, and CRYAB, were validated as credible molecular biomarkers and may provide a novel therapy for diabetic cardiac diseases with increased proteotoxic stress.
Empirical Evidence from the Indonesian Stock Exchange: The Impact of Dividend Policy Decisions on Sharia Share Prices

This paper aims to obtain empirical evidence of the impact of dividend policy decisions on sharia share prices. An exploratory investigation on 26 selected firms listed on the Indonesia Stock Exchange's Jakarta Islamic Index with the criteria of reporting complete financial statements for the 2014-2018 period. The secondary data were examined with 130 data and then processed using SPSS 23 packages, which were then included in the analysis using standard regression. The investigation's findings provide empirical evidence that dividend policy decisions have a significant effect on sharia share prices. This study provides a theoretical contribution to a limited study that explores dividend policy with Islamic share prices in the context of the stock exchange. In practice, this research provides significant insight regarding the dividend policy that the company decides to increase the effectiveness of financial management in the context of a company that is considered to have sharia shares on the stock exchange, considering that the company's business success can increase the economic growth of a country.
In vitro metabolism, pharmacokinetics and drug interaction potentials of emvododstat, a DHODH inhibitor

Abstract Emvododstat was identified as a potent inhibitor of dihydroorotate dehydrogenase and is now in clinical development for the treatment of acute myeloid leukaemia and COVID-19. The objective of this paper is to evaluate the metabolism, pharmacokinetics, and drug interaction potentials of emvododstat. Emvododstat showed high binding to plasma protein with minimal distribution into blood cells in mouse, rat, dog, monkey, and human whole blood. O-Demethylation followed by glucuronidation appeared to be the major metabolic pathway in rat, dog, monkey, and human hepatocytes. CYP2C8, 2C19, 2D6, and 3A4 were involved in O-desmethyl emvododstat metabolite formation. Both emvododstat and O-desmethyl emvododstat inhibited CYP2D6 activity and induced CYP expression to different extents in vitro. Emvododstat and O-desmethyl emvododstat inhibited BCRP transporter activity but did not inhibit bile salt transporters and other efflux or uptake transporters. Neither emvododstat nor O-desmethyl emvododstat was a substrate for common efflux or uptake transporters investigated. Emvododstat is bioavailable in mice, rats, dogs, and monkeys following a single oral dose. The absorption was generally slow with the mean plasma Tmax ranging from 2 to 5 h; plasma exposure of O-desmethyl emvododstat was lower in rodents, but relatively higher in dogs and monkeys.
Introducing development education in technical universities: successful experiences in Spain

This paper presents and analyses the main characteristics of successful experiences of Development Education (DE) introduced in two major Spanish Technical Universities (Technical University of Catalonia, TUC, and Technical University of Valencia, TUV) during the nineties and the beginning of the twenty-first century. In this paper, after a brief presentation of DE concept evolution and its links with sustainable development and education for sustainability, a classification of different instruments that the University uses to push DE activities is presented. This proposal is based on the conclusion of the Spanish Committee of University Co-operation for Development (CEURI), re-elaborated by the authors of this paper. After the overview of instruments, the main characteristics of four strategies developed in the two Universities referred to above are presented and discussed. These initiatives illustrate the feasibility and great potential of DE activities for introducing non-technical issues in engineering education. The initiatives highlighted are: Ethical codes such as the Ethical Code of the School of Industrial Engineers of the Technical University of Valencia; Training of faculty/lecturers and teaching innovation groups such the GREVOL group of Technical University of Valencia and the Interest Group of Collaborative Learning of the Technical University of Catalonia; Free elective courses in bachelor/master studies dedicated to international development aid and technology for human development as well as promotion of end of grade works and projects in the three universities; Student mobility programmes in coordination with technological-focused Non-Governmental Development Organisations, such as Engineering without Borders Spanish groups, which are present in the two universities.