Miracle-dz/UniFAR-FTUs huggingface dataset:
Public Awareness Campaign and Knowledge of Iranian (Bio)Medical Students Regarding Hepatitis B and C Infections

Background: New treatment and vaccination strategies provide the opportunity for eliminating viral hepatitis. Lack of adequate knowledge seems to be a barrier against hepatitis elimination due to the emergence of newly infected cases. Objectives: Theaimof thisstudywastoevaluatetheknowledgeof Iranian(bio)medicalstudentsregardinghepatitisBvirus(HBV) andhepatitisCvirus(HCV)infectionsandtodeterminetheeﬀectofhepatitispublicawarenesscampaign(PAC),heldbythestudents, on their knowledge level. Methods: This prospective study was conducted during PAC by Iran Hepatitis Network for World Hepatitis Day in 2016. The PAC had 2 major parts: 1) training of the registered (bio)medical students in a workshop; and 2) sending the trained students to Tehran metro stations to promote public hepatitis awareness on July 26 - 28, 2016. Hepatitis knowledge of the students was evaluated by a validated questionnaire before the workshop, after the workshop, and after the end of PAC. Results: A total of 91 undergraduate students participated in the workshop, PAC, and the survey. The mean total knowledge scores of the students before and after the workshop were 56.2 ± 18.0 and 75.8 ± 17.9, respectively. Moreover, the scores further increased to 96.6 ± 6.1 after the end of the campaign (P < 0.05). Conclusions: TheresultsdemonstratedthatknowledgeregardingHBVandHCVinfectionsisnotsuﬃcientinthestudypopulation. Therefore, we suggest using social activities and awareness campaigns to increase awareness among (bio)medical students.
Machine learning in reservoir permeability prediction and modelling of fluid flow in porous media

Reliable data on the properties of the porous medium are necessary for the correct description of the process of displacing hydrocarbons from the reservoirs and forecasting reservoir performance. The true permeability of the reservoir is one of the most important parameters which determination is time-consuming, costly and require skilled labor. The paper describes the methodology for determining the permeability of a porous medium, based on machine learning. The results of laboratory experiments, available in the database (terrigenous reservoirs with permeability in the range from 12 to 1132 md), are used to train the neural network, and then to predict the reservoir permeability. Comparison of the predicted and calculated permeability values showed a fairly good match between them with the determination coefficient of 0.92. The last task considered in this paper is to obtain an analytical expression describing a fluid flow in a porous medium using machine learning. This procedure enabled to obtain a resultant equation of fluid flow in a wide range of reservoir parameters and pressure gradients, which can be used in reservoir simulators.
Chronobiology and Sleep on Resilience

Resilience can be defined as one’s ability to adapt to changes which is related to the inherent capacity to facing disturbances and make a new homeostasis [1]. Evidence shows that resilience work as a protective factor for numbers of psychiatric disorders including depression [2,3], anxiety [4], post-traumatic stress disorder (PTSD) [5], substance abuse [6], and suicide attempt [7]. As such, resilience became a valuable target in the field of psychiatry. Determinants of individual’s resilience has received great attention from clinicians and researchers and several biological, environmental, genetic and psychological factors that affects human’s resilience has been reported [8]. Among them, the relationship between resilience and sleep are getting more attention during the past decades. Sleep is defined electroencephalographically, however, it encompasses variety of components such as duration, structure, phase and subjective quality. In some cases, it comes with pathological problems related with neurological or respiratory nature. With increasing interest in promoting resilience, how sleep increase or hinder one’s resilience is a worthwhile subject to study. In this article, we will discuss the various aspects of sleep, such as sleep quality, circadian rhythm, circadian misalignment, and resilience. Chronobiology and Sleep on Resilience
[French adaptation of motor function scales for patients with spinal muscular atrophy].

SMA: Des échelles d’évaluation motrice pour le public francophone. À l’heure des nouvelles thérapeutiques chez les personnes présentant une amyotrophie spinale antérieure ou spinal muscular atrophy (SMA), la mesure régulière, précise et fiable des capacités motrices est devenue indispensable. Différents outils ont été développés dans la littérature et peuvent être utilisés pour cela. Le choix d’une échelle/ d’un outil se fait en fonction du type de SMA, de l’âge de la personne et des éléments spécifiques de la motricité que l’on souhaite évaluer. En France, l’échelle MFM est utilisée en pratique clinique dans de nombreux centres de référence de Maladies Neuromusculaires (MNM). Les autres échelles fréquemment utilisées au niveau international ne sont cependant pas disponibles en français rendant leur utilisation plus difficile en pratique clinique courante. Cet article présente le processus de traduction en français des échelles les plus fréquemment utilisées chez la personne avec SMA (CHOP INTEND, HFMSE, RULM, 6-minute walk test et HINE-2). Différentes étapes ont été respectées, notamment les étapes de traduction en français, traduction inversée en anglais, comparaison des versions anglaises, harmonisation et obtention de la version finale en français. Un programme de formation et sensibilisation des différents professionnels des consultations MNM des centres de référence français avec proposition d’ateliers en présence des membres du comité scientifique suivra l’étape de traduction afin de les faire connaître, expliciter leur utilisation et participer à la diffusion de ce travail.
A Generalized Multifrequency Small-Signal Model for High-Bandwidth Buck Converters Under Constant-Frequency Voltage-Mode Control

This article studies the modeling of high-bandwidth buck converters under constant-frequency voltage-mode control, where the traditional small-signal averaged model fails due to two major factors in the pulsewidth modulation (PWM), i.e., the large harmonics of modulation waveform and the considerable sideband components. Several modified small-signal models have been proposed to improve the predictions of the frequency domain characteristics. However, these models are less generalized or with high complexity, and may hardly be used in the closed-loop design of real applications. To handle this issue, this article proposes a generalized multifrequency small-signal model (G-MFSSM) for high-bandwidth buck converters, which makes further progress in accuracy while maintaining simplicity in deriving the analytical transfer functions for a closed-loop design. The generalized average model is adopted to precisely describe the first-order harmonic of the modulation waveform, from which a correction factor is extracted to evaluate the influence of the ripple. Furthermore, two dominant sideband components are selected optimally for extremely accurate loop gain predictions. Finally, a closed-loop design procedure is presented for wide-input, high-bandwidth buck converters based on the proposed G-MFSSM. The validity of the proposed G-MFSSM is verified by simulations and experiments.
Outcomes, Developmental Processes and Protective Factors in Different Conduct Problems Trajectories

Conduct problems in youth are very common and have high financial and societal costs. Conduct problems can have different age of onset and developmental course and often predict later adjustment problems. In this work, I investigated the psychosocial outcomes of different trajectories of conduct problems. Then, I examined the developmental processes underlying poor academic achievement, a common risk factor in youth with conduct problems. To do this, I tested a developmental cascade model in two early-onset subgroups of conduct problems individuals. I have also investigated whether school experience could mediate the association between conduct problems trajectories and not being in education, employment or training (NEET) at age 20. Finally, I explored a number of school-level factors that could predict the development of conduct problems in early to mid-adolescence. I used several statistical methods including meta-analysis, structural equation modelling, counterfactual-based mediation analysis and longitudinal latent growth curve modelling. I have shown that an early-onset persistent pattern of conduct problems is associated with a greater risk of poor psychosocial outcomes compared to other trajectories (adolescent-onset and childhood-limited). The developmental cascade model I tested showed discrete differences across the two groups of early-onset conduct problems individuals, but I did not find an indirect effect carried through prenatal and postnatal risk factors that could explain poor academic achievement in adolescence. In terms of mediating factors, I found that positive school experience decreased the risk in early-onset persistent youth to become NEET in early adulthood. Finally, a positive school climate was associated with a lower risk of exhibiting persistent patterns of conduct problems in adolescence, in both males and females. These results shed light on outcomes, processes and mediating factors that have the potential to change the development of conduct problems across life and may guide prevention and intervention programs, particularly within schools.
Effects of rapid reduction of body mass on performance indices and proneness to injury in jūdōka. A critical appraisal from a historical, gender-comparative and coaching perspective

In contrast with the vast amount of literature on rapid reduction of body mass in male wrestlers there is a particular lack of studies on the effects of “weight cutting” in female athletes who compete in weight class events such as jūdō. The advantages of competing in a lower weight category include increased leverage, relative power, and strength. A competitively active jūdōka attempts to build a long-term career in a single weight class to avoid having to overhaul tactical preparations due to having to face many new opponents. The most influential person on the jūdōka’s weight management behavior appears to be their jūdō coach and training partners. Significant gender differences in the type or magnitude of physiological effects of “weight cutting” are caused by female jūdōka typically relying on different methods (chiefly nutritional restriction and dehydration) when compared to their male counterparts (mostly increased energy expenditure and excessive exercise). Elite jūdōka engage in these unhealthy practices at an increasingly young age (<15 yrs) and are not commonly submitted to any preventive assessment of menstrual function, bone health, and markers of muscle and bone breakdown hence their high frequency and sustained history of musculo-tendinous injuries. While the effects of weight cutting on relative aerobic, anaerobic capacity and strength are limited, it is mainly dehydration, loss of muscle, tendon elasticity, catabolism, and premature osteopenia that contribute to their overall increased risk of injury. Protein and amino acid supplementation may be useful in avoiding severe catabolism and may potentiate lipolysis.
Travel Time and Waveform Measurements of Global Multibounce Seismic Waves Using Virtual Station Seismogram Stacks

We construct geographically localized bin stacks of waveforms, called virtual stations, to enhance signal‐to‐noise ratios (SNRs) for travel time and waveform measurements of multibounce S and ScS phases (S up to S6 and ScS up to ScS5), as well as direct S, ScS, and Sdiff, on tangential component data. Major arc S and ScS multibounce waves were also measured. Virtual station data are referenced to empirical wavelets constructed from direct S waves for each event. The virtual station approach is useful for low SNR data, bolstering wave path coverage in the southern hemisphere. Goodness of fit measurements between the adapted empirical wavelet and virtual station waveforms are documented, as well as SNRs, allowing for objective definition of travel time measurement quality. From a data set of 360 earthquakes and 8,407 seismographic stations, nearly 4 million records were utilized to construct 248,657 virtual station stacked seismograms, which were compared to best‐fitting empirical wavelets. After human inspection of virtual station results, 8,871 travel time measurements were retained from 19 different minor and major arc seismic wave types. Higher multibounce data improve sampling of the southern hemisphere. From 188,003 single seismograms, 3,331 multibounce wave measurements were also made. Comparisons of single seismogram and virtual station stack measurements show a consistent bias: Virtual stack onset times are systematically early due to a broadening effect from stacking records with arrival time differences, which we correct for. The travel time and waveform measurements are publicly available.
Convective Bursts With Gravity Waves in Tropical Cyclones: Case Study With the Himawari‐8 Satellite and Idealized Numerical Study

Convective bursts occur frequently in tropical cyclones and help their intensification by diabatic heating, but their quantitative importance has not been established. By using the high‐frequency observation of infrared brightness temperature with Himawari‐8, a latest‐generation geostationary meteorological satellite, convective bursts in Typhoon Lan (2017) were studied. Aided with a series of numerical simulations, it was revealed that the anvil edges of many bursts are associated with finite‐amplitude gravity waves consistent with internal bores, creating warm anomalies by subsidence ahead of the edges. As the edges spread, they are thinned, and their propagation speeds are often decreased. In many such instances, gravity waves, now linear, are separated from the edges to propagate away, spreading convective heating. It is proposed that by quantifying these processes with geostationary satellites, diabatic heating by convective bursts can be estimated to diagnose their impacts on tropical‐cyclone intensification.
Training in Major of Public Sector Accounting: Evaluation the Demand for Higher Education by an Empirical Survey

Higher education always receives the attention of the whole community in a country and Vietnam cannot be out of the general trend. The government has decided to continue spending a great deal of money to invest in education, aiming to open the new branches of knowledge that can meet the needs of current society. One of the branches that students enroll in large numbers at universities and colleges is corporate accounting. However, in recent years, there has been a great change in the public accounting of Vietnam due to the relatively complex nature of the public sector as well as to meet the need of international integration, the transparent information and accountability. This leads to the need of training students with specialized knowledge in this field. Based on the supply and demand relationship of the market, the main objective of this article is to provide some of the main points about public accounting in Vietnam. From there, we embarked on survey the need of students with a sample of 1,017 university students on whether we should open the public accounting major in Vietnam in the near future or not. With the scope of universities in Ho Chi Minh City in Vietnam, the results of the article show impressive statistics on the demand to study this major as well as some of the public sectors that they aspire to work for after graduation. This study helps the article to have more appropriate policy suggestions when developing training program later.
TOFD technique application to examine welded joints with non-equal wall thickness of the vertical steel tanks

During construction, reconstruction and technical inspection of vertical steel tanks (VST), all wall butt weld joints are subjected to ultrasonic testing to detect internal defects or flaws. The considerable length of examined welds (it can exceed 3,000 m) necessitates the development and implementation of mechanized and automated inspection systems that can increase the rate of testing and documentation of results. Systems of mechanized and automated ultrasonic echo-testing do not support the detection of all defect types and reliable determination of their geometric parameters. The Time-of-Flight Diffraction (TOFD) technique makes it possible to estimate the height of the defect regardless of its type and orientation. However, the application of TOFD technique for welds with non-equal wall thickness is complicated by the fact that the standard software of flaw detectors (‘depth calculator’) does not consider this non-uniformity. The authors have developed the testing procedure to overcome this limitation and to determine the depth of defects in the welds with non-equal wall thickness by TOFD technique using the standard ‘depth calculator’. An experimental verification of this technology confirmed the correctness of the calculations. The inspection scheme and calculation of the depth of discontinuity boundaries using the TOFD technique were tested using the example of the welded joint of the walls with non-equal thickness of the 10,000-m3 tank under construction. The thickness of the walls was 12 and 14 mm; 8 and 10 mm. The inspection of the real facility has confirmed good detection of defects and high reliability of the results.
IMPLEMENTASI LEAN HEALTHCARE UNTUK MENGIDENTIFIKASI DAN MEMINIMASI WASTE DI INSTALASI RAWAT JALAN RSAI BANDUNG

Lean healthcare is one way to identify and minimize waste in every service process at the outpatient installation of Al Islam Bandung Hospital (RSAI). Patients must wait more than 2 hours to get service. The tools used for the implementation of lean healthcare are current state mapping, value assessment, and Failure Modes and Effects Analysis (FMEA). The results showed that the wastage waiting category was a critical waste. Proposed improvements are expected to reduce waiting time for general patient services 65.438%, BPJS Health patients 70.632%, and contracting patients 70.921%.
An Efficient Distributed In-memory High-dimensional Indexing Scheme for Content-based Image Retrieval in Spark Environments

Content-based image retrieval that searches an object in images has been utilizing for criminal activity monitoring and object tracking in video. In this paper, we propose a high-dimensional indexing scheme based on distributed in-memory for the content-based image retrieval. It provides similarity search by using massive feature vectors extracted from images or objects. In order to process a large amount of data, we utilized a big data platform called Spark. Moreover, we employed a master/slave model for efficient distributed query processing allocation. The master distributes data
Long-term overall survival and progression-free survival in idiopathic pulmonary fibrosis treated by pirfenidone or nintedanib or their switch. Real world data from the EMPIRE registry

Aim: Treatment either with nintedanib (N) or pirfenidone (P) can slow progression of idiopathic pulmonary fibrosis (IPF). Long term effect of this treatment in the real world has not been adequately documented to date. We aimed to compare the overall survival (OS) and progression free survival (PFS) in the patients from the European MultiPartner IPF registry (EMPIRE) treated either by P or N or switch from either N to P or P to N (S) with other or no treatment (O). Patients and Methods: 2745 IPF patients from the EMPIRE registry (809 F and 1936 M, mean age at diagnosis 66.5 years) were enrolled to the retrospective study (821 on P, 637 on N, 148 S and 1139 O). Progression was defined as death, or transplantation, or decline of FVC ˃ 10% or TLCO ˃ 15% compared to previous value. OS and PFS in the subgroups were counted and compared. Results: Median OS in months was from the entry to the registry: 56.7 P, 84.7 N, 76.9 S, 37.5 O; 5-years survival rate was: 0.461 P, 0.622 N, 0.65 S, 0.333 O and 10-years survival rate was: 0.216 P, 0.364 N, 0.491 S and 0.139 O (p ˂0.001). Median PFS in months was from the entry to the registry: 20.5 P, 22.9 N, 30.4 S and 17.3 O, 5-years PFS rate was: 0.173 P, 0.232 N, 0.333 S, 0.094 O and 10-years PFS rate was: 0.04 P, 0.055 N, 0.084 S and 0.008 O (p ˂0.001). Conclusion: The results show a consistent effect of antifibrotic treatment on OS and PFS in a large cohort of the real-world IPF patients. Moreover, the effect of a switch of antifibrotics on OS and PFS is even higher than either P or N alone. The EMPIRE registry is supported by Boehringer Ingelheim
Functional biological paths altered in Alzheimer’s disease: from genes to bile acids

Large-scale genome wide association studies (GWASs) have been performed in search for risk genes for Alzheimer’s disease (AD). Despite the significant progress, replicability of genetic findings and their translation into targetable mechanisms related to the disease pathogenesis remains a challenge. Given that bile acids have been suggested in recent metabolic studies as potential age-related metabolic factors associated with AD, we integrated genomic and metabolomic data together with heterogeneous biological networks and investigated the potential cascade of effect of genetic variations to proteins, bile acids and ultimately AD brain phenotypes. Particularly, we leveraged functional protein interaction networks and metabolic networks and focused on the genes directly interacting with AD-altered bile acids and their functional regulators. We examined the association of all the SNPs located in those candidate genes with AD brain imaging phenotypes, and identified multiple AD risk SNPs whose downstream genes and bile acids were also found to be altered in AD. These AD related markers span from genetics to metabolomics, forming functional biological paths connecting across multiple-omics layers, and give valuable insights into the underlying mechanism of AD.
New Directions for Kindergarten Education

Kindergarten teachers are confronted with an evolving context for teaching and assessment. Recent reforms throughout the world have resulted in two fundamental shifts: (a) a growing emphasis on academic learning and increased use of assessment to support and monitor students’ academic and developmental progress and (b) the use of play as a dominant pedagogical approach. Across these shifts, little research has been conducted on the integration of assessment with play-based learning to support teachers’ practices. The present study addresses this gap by presenting empirical data from 20 purposefully selected kindergarten classrooms on how teachers (a) conceptualize the relationship and challenges between assessment and play, (b) enact assessment practices, and (c) address challenges implementing assessment during play. Results of this study demonstrate the various ways assessment and play can operate within kindergarten education to support student learning while providing an empirical foundation for future research into early primary assessment theory and practice.