Miracle-dz/UniFAR-FTUs huggingface dataset:
THE ROLE OF THE SHARIA SUPERVISORY BOARD (SSB) IN MODERATING THE EFFECT OF GOOD CORPORATE GOVERNANCE ON FINANCIAL PERFORMANCE OF ISLAMIC BANKS IN INDONESIA

Purpose — The aims of this research are to examine and analyze the extent of the role of the sharia supervisory board (SSB) in moderating the effect of good corporate governance on the financial performance of Islamic banks in Indonesia. Design/methodology/approach — The population in this research is 14 (fourteen) Islamic banks in Indonesia and the sample used in this research is 9 (nine) Islamic banks that have published financial reports, good corporate governance reports, and annual reports for the period 2010 - 2019. This research data processed were processed using reviews-10. Findings — The results of this research stated that good corporate governance has a significant effect on the financial performance of Islamic banks. The sharia supervisory board (SSB) moderates the effect of good corporate governance on the financial performance of Islamic banks in Indonesia. Practical Implications — The chow test stated chosen model as fixed effects, then the Housman test stated chosen model as random effects. Thus the model used in this research is a random effect. Originality/value — To complete the results, this research used in-depth interviews with practitioners of Islamic banks in Indonesia, specifically the department of compliance with Islamic banks. Keywords Good corporate governance, Sharia Supervisory Board, financial performance Paper Type Research Paper.
A Procedure to Continuously Evaluate Predictive Performance of Just-In-Time Software Defect Prediction Models During Software Development

Just-In-Time Software Defect Prediction (JIT-SDP) uses machine learning to predict whether software changes are defect-inducing or clean. When adopting JIT-SDP, changes in the underlying defect generating process may significantly affect the predictive performance of JIT-SDP models over time. Therefore, being able to continuously track the predictive performance of JIT-SDP models during the software development process is of utmost importance for software companies to decide whether or not to trust the predictions provided by such models over time. However, there has been little discussion on how to continuously evaluate predictive performance in practice, and such evaluation is not straightforward. In particular, labeled software changes that can be used for evaluation arrive over time with a delay, which in part corresponds to the time we have to wait to label software changes as ‘clean’ (waiting time). A clean label assigned based on a given waiting time may not correspond to the true label of the software changes. This can potentially hinder the validity of any continuous predictive performance evaluation procedure for JIT-SDP models. This paper provides the first discussion of how to continuously evaluate predictive performance of JIT-SDP models over time during the software development process, and the first investigation of whether and to what extent waiting time affects the validity of such continuous performance evaluation procedure in JIT-SDP. Based on 13 GitHub projects, we found that waiting time had a significant impact on the validity. Though typically small, the differences in estimated predicted performance were sometimes large, and thus inappropriate choices of waiting time can lead to misleading estimations of predictive performance over time. Such impact did not normally change the ranking between JIT-SDP models, and thus conclusions in terms of which JIT-SDP model performs better are likely reliable independent of the choice of waiting time, especially when considered across projects.
Functional network antagonism and consciousness

Abstract Spontaneous brain activity changes across states of consciousness. A particular consciousness-mediated configuration is the anticorrelations between the default mode network and other brain regions. What this antagonistic organization implies about consciousness to date remains inconclusive. In this Perspective Article, we propose that anticorrelations are the physiological expression of the concept of segregation, namely the brain’s capacity to show selectivity in the way areas will be functionally connected. We postulate that this effect is mediated by the process of neural inhibition, by regulating global and local inhibitory activity. While recognizing that this effect can also result from other mechanisms, neural inhibition helps the understanding of how network metastability is affected after disrupting local and global neural balance. In combination with relevant theories of consciousness, we suggest that anticorrelations are a physiological prior that can work as a marker of preserved consciousness. We predict that if the brain is not in a state to host anticorrelations, then most likely the individual does not entertain subjective experience. We believe that this link between anticorrelations and the underlying physiology will help not only to comprehend how consciousness happens, but also conceptualize effective interventions for treating consciousness disorders in which anticorrelations seem particularly affected.
Student performance: is there difference between traditional and distance learning?

Like traditional, distance learning has to be effectively designed to ensure the achievement of learning outcomes. Many studies have examined student performance in a well-prepared distance learning environment, but just a few are addressed to the situation that required prompt transition from traditional to distance learning (like that one caused by Covid-19). The purpose of this study is to compare student performance in the traditional and unprepared distance learning environment. Chi-square and correlation analysis were performed to answer if statistically significant difference existed in student performance between two modalities. The results of this study may contribute to present and future researches, legislation in the area of Higher Education, Higher Education Institutions and teachers when creating distance courses.
Spatial heterogeneity in rain-bearing winds, seasonality and rainfall variability in southern Africa's winter rainfall zone

Abstract. A renewed focus on southern Africa's winter rainfall zone (WRZ) following the Day Zero drought and water crisis has not shed much light on the spatial patterns of its rainfall variability and climatological seasonality. However, such understanding remains essential in studying past and potential future climate changes. Using a dense station network covering the region encompassing the WRZ, we study spatial heterogeneity in rainfall seasonality and temporal variability. These spatial patterns are compared to those of rainfall occurring under each ERA5 synoptic-scale wind direction sector. A well-defined “true” WRZ is identified with strong spatial coherence between temporal variability and seasonality not previously reported. The true WRZ is composed of a core and periphery beyond which lies a transition zone to the surrounding year-round rainfall zone (YRZ) and late summer rainfall zone. In places, this transition is highly complex, including where the YRZ extends much further westward along the southern mountains than has previously been reported. The core receives around 80 % of its rainfall with westerly or north-westerly flow compared to only 30 % in the south-western YRZ incursion, where below-average rainfall occurs on days with (usually pre-frontal) north-westerly winds. This spatial pattern corresponds closely to those of rainfall seasonality and temporal variability. Rainfall time series of the core and surroundings are very weakly correlated (R2<0.1), also in the winter half-year, implying that the YRZ is not simply the superposition of summer and winter rainfall zones. In addition to rain-bearing winds, latitude and annual rain day climatology appear to influence the spatial structure of rainfall variability but have little effect on seasonality. Mean annual rainfall in the true WRZ exhibits little association with the identified patterns of seasonality and rainfall variability despite the driest core WRZ stations being an order of magnitude drier than the wettest stations. This is consistent with the general pattern of near homogeneity within the true WRZ, in contrast to steep and complex spatial change outside it.
Endocrine disrupting toxicity of aryl organophosphate esters and mode of action

Abstract Organophosphate esters (OPEs) are frequently detected in the environment and human samples, bringing potential adverse effects to ecosystems and human health. Aryl OPEs (AOPEs), which are widely used in industrial and consumer products, are regarded as emerging endocrine disruptors. Taking triphenyl phosphate, 2-ethylhexyl diphenyl phosphate, tricresyl phosphate, and isomers of mono-, di-, and tri-isopropylated triaryl phosphates as representative AOPEs, this article reviewed their endocrine disrupting toxicity, metabolic disrupting toxicity, and their underlying molecular mechanisms via various signaling pathways. In general, AOPEs showed endocrine-disrupting effects by disrupting the hormone level and by behaving estrogen receptor, androgen receptor, mineralocorticoid receptor, glucocorticoid receptor, and thyroid hormone receptor agonistic/antagonistic activity. AOPEs also exerted metabolic disrupting effects in the cardiovascular system and liver by disrupting the lipids hemostasis and by binding with liver X receptor and peroxisome proliferator-activated receptor γ. Furthermore, we predicted the endocrine disrupting toxicity of emerging AOPEs by comparing their structures with the legacy AOPEs, but further studies should confirm the toxicity and the underlying molecular mechanisms of emerging AOPEs in the environment. Overall, this review provided a more in-depth understanding of the adverse health outcomes of AOPEs. Graphical abstract
Effectiveness of Norepinephrine-Vasopressin Combination in Reducing Mortality in Septic Shock Patients: A Scoping Review

Sepsis and septic shock are the major health problems worldwide, including in Indonesia. Sepsis and septic shock are medical emergencies that require adequate prompt resuscitation to reverse tissue hypo-perfusion, which will prevent patient mortality. The latest international guideline on septic shock treatment recommended norepinephrine as a first-line vasopressor followed by dopamine and dobutamine as an alternative vasopressor. However, the practices still vary. Therefore, a scoping review is required to scope the existing article, summarize scientific evidence, and give a bearing on future research regarding the effectiveness of norepinephrine-vasopressin combination in reducing mortality in septic shock patients. This scoping review was covered articles published after 2011. A total of 953 articles were collected. Seven articles comprised of 5 systematic reviews, 1 randomized controlled trial, and 1 cohort study with a total 21,670 of patients, were included for qualitative synthesis. From the analysis, there had not been enough scientific evidence to conclusively determine the combination of vasopressors as the best therapeutic outcome of sepsis treatment. In conclusion, based on the existing articles there is inadequate scientific evidence to definitively conclude the effectiveness of the combination of vasopressors and norepinephrine for the treatment of septic shock patients. Further research is needed to explore the effectiveness of the norepinephrine-vasopressin combination in reducing mortality in septic shock patients.
ASSOCIATION OF SERUM AUTO-ANTIBODIES AND THYROID FUNCTION TEST IN PATIENTS WITH NON-NEOPLASTIC THYROID DISEASES IN SHENDI LOCALITY, SUDAN

Background: Thyroid disorders are the most second endocrine problem after diabetes mellitus in society. Environmental, immunological, and genetic factors lead to the development of thyroid disorders. Objectives: The study intended to evaluate the role of thyroid antibodies and hormones in the diagnosis of thyroid diseases, as well as the prevalence of thyroid antibodies in patients having thyroid disorders living in Shendi locality. Study design: The current research was prospective, case - control, hospital-based study carried out from 2013-2017, in El-Mek Nimir Uiversity Hospital in Shendi town- Northern Sudan. -. River Nile State. Two hundred and eighty-three (283) participants selected randomly as study population, of whom Hundred and eleven (111) patients with hypothyroidism; Seventy-two (72) patients with hyperthyroidism; Hundred (100) healthy normal subjects as control group. Participants were recruited from outpatient clinics in El-Mek Nimir Uiversity Hospital in Shendi Thyroid hormones profile (TSH, T4, T3, fT3, and fT4) and Thyroid antibodies (Anti-thyroid peroxidase and antithyroglobulin) were measured. Results: The study revealed that (60.7%) had hypothyroidism, (39.3%) had hyperthyroidism, (91.9%) of hypothyroidism were female, and only (8.1%) were male, while (84.7%) of hyperthyroidism were female while male represented only (15.3%) of them. The current study revealed that 107 of the case group (58.5%) were positive when evaluated for thyroid peroxidase antibodies (TPO Ab), with level more than (40.0 IU/ml). 72 (64.9%) of them were hypothyroidism, whereas a 35 (48.6%) of them were hyperthyroidism. As regard Thyroglobulin antibodies (Tg Ab), 73 (39.9%) of the case studied were positive, 51 (69.9%) of them were hypothyroidism, and 22 (30.1%) of them were hyperthyroidism. The study also revealed statistically significant positive correlation between the presence of TPO Ab and the values of fT3
The Contribution of Silk Fibroin in Biomedical Engineering

Simple Summary In the medical area and beyond one of the most important biomaterials is the silk fibroin (SF) produced by the Bombyx mori L. silkworm. This outstanding biopolymer has received great attention from researchers due to its unique properties. Among them, the most important characteristic of SF is the high level of biocompatibility with the human organism. The biocompatibility, high mechanical strength, biodegradability and the biologically active properties have put SF in the spotlight, and thus numerous biomaterials have been developed. Furthermore, by using genetic engineering, biomaterials have been obtained that exhibit enhanced properties. In a wide range of studies, SF was used in order to develop sponges, hydrogels, nanospheres and films. By using SF-based biomaterials, tremendous progress has been made in tissue engineering and cancer therapy. In the specialized literature, various methods have been described regarding both extraction and processing of SF as a functional material. Moreover, SF-based biomaterials have been successfully obtained by using ecological methods of processing. Therefore, SF is considered to be the foremost green material. Abstract Silk fibroin (SF) is a natural protein (biopolymer) extracted from the cocoons of Bombyx mori L. (silkworm). It has many properties of interest in the field of biotechnology, the most important being biodegradability, biocompatibility and robust mechanical strength with high tensile strength. SF is usually dissolved in water-based solvents and can be easily reconstructed into a variety of material formats, including films, mats, hydrogels, and sponges, by various fabrication techniques (spin coating, electrospinning, freeze-drying, and physical or chemical crosslinking). Furthermore, SF is a feasible material used in many biomedical applications, including tissue engineering (3D scaffolds, wounds dressing), cancer therapy (mimicking the tumor microenvironment), controlled drug delivery (SF-based complexes), and bone, eye and skin regeneration. In this review, we describe the structure, composition, general properties, and structure–properties relationship of SF. In addition, the main methods used for ecological extraction and processing of SF that make it a green material are discussed. Lastly, technological advances in the use of SF-based materials are addressed, especially in healthcare applications such as tissue engineering and cancer therapeutics.
Assessment of Lipid Peroxidation in Alzheimer’s Disease Differential Diagnosis and Prognosis

Alzheimer’s disease (AD) and other dementias are becoming increasingly common in the older population, and the number of people affected is expected to increase in a few years. Nowadays, biomarkers used in early AD diagnosis are expensive and invasive. Therefore, this research field is growing. In fact, peroxidation by-products derived from the oxidation of brain lipids (arachidonic (AA), docosahexanoic (DHA) and adrenic acid (AdA)) could be potential biomarkers, participating in the mechanisms of inflammation, neurotoxicity and cell death in AD pathology. Previous studies have shown specificity between lipid peroxidation compounds and other dementias (e.g., Lewy bodies (DLB), frontotemporal dementia (FTD)), but more research is required. Lipid peroxidation compounds (prostaglandins, isoprostanes, isofurans, neuroprostanes, neurofurans, dihomo-isoprostanes and dihomo-isofurans) were analysed by liquid chromatography and mass spectrometry in plasma samples from participants classified into a healthy group (n = 80), a mild cognitive impairment due to AD group (n = 106), a mild dementia due to AD group (n = 70), an advanced dementia due to AD group (n = 11) and a group of other non-AD dementias (n = 20). Most of these compounds showed statistically significant differences between groups (p < 0.05), showing higher levels for the healthy and non-AD groups than the AD groups. Then, a multivariate analysis was carried out on these compounds, showing good diagnosis indexes (AUC 0.77, sensitivity 81.3%, positive predictive value 81%). Moreover, evaluating AD disease prognosis, two compounds (15-F2t-IsoP and 14(RS)-14-F4t-NeuroP) and three total parameters (isoprostanes, isofurans and neurofurans) showed significant differences among groups. Some compounds derived from the oxidation of AA, DHA and AdA have demonstrated their potential use in differential AD diagnosis. Specifically, 15-F2t-IsoP, 14(RS)-14-F4t-NeuroP and the total parameters for isoprostanes, isofurans and neurofurans have shown prognostic value for AD from its earliest stages to its most severe form.
A review of intelligent medical imaging diagnosis for the COVID-19 infection

Due to the unavailability of specific vaccines or drugs to treat COVID-19 infection, the world has witnessed a rise in the human mortality rate. Currently, real time RT-PCR technique is widely accepted to detect the presence of the virus, but it is time consuming and has a high rate of eliciting false positives/negatives results. This has opened research avenues to identify substitute strategies to diagnose the infection. Related works in this direction have shown promising results when RT-PCR diagnosis is complemented with Chest imaging results. Finally integrating intelligence and automating diagnostic systems can improve the speed and efficiency of the diagnosis process which is extremely essential in the present scenario. This paper reviews the use of CT scan, Chest X-ray, lung ultrasound images for COVID-19 diagnosis, discusses the automation of chest image analysis using machine learning and deep learning models, elucidates the achievements, challenges, and future directions in this domain.
The intention to receive tuberculosis preventive therapy in adult household contacts of pulmonary TB patients in Delhi, India.

INTRODUCTION The integration of newer tuberculosis preventive therapy regimens, which have shorter treatment duration, simpler dosing requirements, and improved safety profile, is being considered within India's national tuberculosis elimination program. However, a potential operational challenge in the successful rollout of the expanded TPT plan is the extent of its acceptability in adult household contacts of pulmonary tuberculosis patients due to possibility of lower risk perception and suboptimal perceived benefit. This study was conducted to determine the intention to accept Tuberculosis Preventive Therapy among adult household contacts of pulmonary tuberculosis patients in Delhi, India. METHODOLOGY This cross-sectional study was conducted from June-November 2020 in Delhi, India. Data were collected through face to-face interviews by trained field investigations from the high-risk adult household contacts of PTB patients. RESULTS A total of 536 household contacts including 237 (44.2%) men and 299 (55.8%) women were recruited with median (IQR) age 40 (22-52) years. Risk factors for incident tuberculosis observed in the HHCs were undernourishment (32.3%), overweight (47.8%), and diabetes comorbidity (10.6%). Most of the participants had not heard of latent TB infection (97.3%) The intention to accept tuberculosis preventive therapy was reported by 394 (73.5%) participants with an absence of symptoms (33.1%), feeling completely healthy (42.9%), and drug adverse effects (27.5%) (n=142) being primary drivers of non-intention. CONCLUSIONS Nearly three in four HHCs without TB disease expressed willingness to accept TPT if prescribed with caveat for the social desirability bias.
Work from Home Challenges of the Pandemic Era in Hong Kong: A Stimulus-Organism-Response Perspective

Hong Kong is an international city where almost all the companies did not have a WFH policy before the pandemic since it is a very small place. During the pandemic period, Hong Kong governments, major banks and large private organizations have adopted WFH policy. The purpose of this article is to examine impact of work from home (WFH) practice on work engagement with the company during the pandemic period in Hong Kong. According to a stimulus-organism-response model, this study explores the dark side the WFH arrangement during the pandemic period. Convenience sampling method was used to collect 206 valid responses from individuals who were working from home in Hong Kong. Partial least squares structural equation modelling (PLS-SEM) was used in the analysis of data. It was found that teamwork climate is negatively associated with physical isolation and sense of belonging is negatively associated with psychological isolation. Work engagement was impaired. Affective social presence may not be so easily established through virtual ways. Virtual informal gatherings, such as virtual breakfasts, lunch or tea breaks where work-related matters are not discussed, could be arranged.