Miracle-dz/UniFAR-FTUs huggingface dataset:
Variants in PRKCE and KLC1, Potential Negative Regulators of Type I Psoriasis

Background: Psoriasis is a multifactorial disease with a complex genetic predisposition. The pathophysiology of psoriasis is associated with genetic variants, especially in negative regulatory genes. To better characterize gene variants in psoriasis and identify the relationship between clinical characteristics and variant genes in its pathogenesis. DNA was extracted from 282 type Ⅰ psoriasis patients and purified, and 13 variable genes were amplified and sequenced using the Sanger method. Results: Among the 13 investigated genes, the variants frequencies of protein kinase C epsilon (PRKCE) (c.240T>C, 35.9% vs 47.7%, P< .05) and kinesin light chain 1 (KLC1) (c.216A>G, 2.9% vs 98.1%, P< .01) were significantly lower in patients than in normal Asian individuals. Additionally, we found considerable differences in the relationship between variants in genes CADM2, JPH2, SPTLC3 and clinical characteristics stratified by medical history and family history. Moreover, MEGF6 gene variants (39.52% vs. 22.50%, χ2=3.83, p < .05) showed a stronger association with the group as mild (PASI≤10) than with the group as heavy. Conclusions: Our results provide a comprehensive correlation analysis of negative regulatory genes that are regulated in psoriasis. This integrated analysis offers novel insight into the pathogenic mechanisms involved in psoriasis.
Capaian Kemampuan Mathematical Thinking Siswa melalui Model Comprehensive Mathematics Instructions

The national exam results show that students still have difficulty solving PISA standardization questions, reinforcing the reason why Indonesian students' mathematical literacy scores on PISA are still very low. This mathematical literacy is part of the mathematical thinking ability, so building it will impact students' mathematical literacy. The comprehensive mathematics instruction (CMI) model is thought to build students' mathematical thinking abilities. This study aims to describe students' mathematical thinking achievement who obtain learning with the CMI model. Besides, this study also analyzed the achievement of students' mathematical thinking through the CMI model by paying attention to the prior knowledge of mathematics (PAM). This research is a quasi-experimental study. Samples were taken purposively from the population of high school students in Subang. The results showed that the achievement of students' mathematical thinking through the CMI model differed significantly from students' mathematical thinking abilities through conventional models. The difference in the achievement of generalizing, conjecturing, and convincing abilities between students who get CMI model learning and those who get conventional model learning occurs in students with moderate PAM. Thus, the CMI model is effective for building students' mathematical thinking abilities.
Serological Tests Assessment in Patients Suspected to have Celiac Disease Attending the Gastroenterology and Hepatology Teaching Hospital in Baghdad

Background: Celiac disease is characterized by small intestinal malabsorption of nutrients after the ingestionof wheat gluten or related proteins from rye and barley, villus atrophy of the small intestinal mucosa, promptclinical and histologic improvement following strict adherence to a gluten-free diet, and relapse when glutenis retaken.Aim of the Study: Evaluation of patients seeking gastroenterology and hepatology teaching hospital/medicalcity/Baghdad with suspected celiac disease regarding serological investigation, histological findings andgenetic testing, to determine sensitivity, specificity, positive predictive value and negative predictive valuefor every test.Patients and Method: The study is a cross sectional descriptive analytic study conducted at the teachinghospital of gastroenterology and hepatology/Baghdad/Iraq during a period from the 1st of February 2018 tothe 1st of April 2019. After thorough history and Clinical examination patients with suspected celiac diseasewere sent for serological investigation (TTG IgA and IgG), (antigliadin IgA and IgG), all patients were sentfor endoscopic examination for duodenal biopsies with subsequent histological assessment. Patients whofailed to be confirmed (positive serology and negative histology or vice versa) were sent either for HLAgenotyping or for IgG Deaminated gliadin peptide. Sensitivity & specificity were measured for each test.Results: A total of 140 suspected celiac disease patients involved in this study. Mean age was 18.9 yearsand ranged from 2 years to 60 years. Male represented 36.4% of the cases while female represented 63.6%. Only 19 patients show positive family history of celiac disease (13.6 %). Regarding associated autoimmunediseases, the majority (111 patients) have no associated diseases (79.3%) while the other patients who haveassociations most of them show positive association with type 1 DM (16.4%). Fifty patients (35.7%) presented with short stature, (25.7%) came with diarrhea. The other symptoms varybetween bloating and distention, unexplained anemia and weight loss. Constipation was seen in one patient.tTG IgA and tTG IgG showed high sensitivity, specificity, positive predictive value and negative predictivevalue while antigliadin antibody failed to show these significant results.Conclusion: The use of serologic markers inceliac is easy, direct, noninvasive and reliableand could be benefit in the diagnosis andmonitoring of the disease. More specifically,both the tTG-IgA/IgG are very good markersin the diagnostis of CD. This study confirmedthe high specificity and sensitivity of tTG, and the low results of AGA, but celiac serology does not replace the biopsy in the diagnosis but is useful as anassistant for diagnosis.
MASEM Infrastructure in Underdeveloped Areas of Java Island

This article develops a method of modeling meta-analytical structural equations (MASEM) which merge meta-analysis and modeling of structural equations on infrastructural issues in underdeveloped areas of Java Island in Indonesia. The implementation of this research is MASEM modeling using the approach of generalized least squares. The modeling is used to analyze the factors affecting the infrastructure of the underdeveloped areas in the provinces located on Java Island. This study uses three exogenous latent variables (economy, accessibility, and regional characteristics) and one endogenous latent variable (infrastructure). The results of the implementation of this study indicate that the "accessibility factor", which is an indicator of the average distance from the capital/district to access to health services, has a positive and significant effect on the infrastructure of underdeveloped areas of Java Island. This result can be used as a reference for the government in determining policy directions to tackle the problems of underdeveloped areas; in particular, in the infrastructure dimension.
NLRNet: An Efficient Nonlocal Attention ResNet for Pansharpening

Remote sensing images often contain many similar components, such as buildings, roads, and water surfaces, which have similar spectra and spatial structures. Although convolutional neural networks (CNNs) based on residual learning can provide excellent performance in pansharpening, the existing methods do not make full use of intrinsically similar information in images. Moreover, since the convolution operation is focused on the local region, even in a deep network, position-independent global information is difficult to obtain. In this article, an efficient nonlocal attention residual network (NLRNet) is proposed to capture the similar contextual dependencies of all pixels. Specifically, to reduce the difficulty of network training caused by the original nonlocal attention, we propose an efficient nonlocal attention (ENLA) mechanism and employ residual with zero initialization (ReZero) technology to make the signal easy to spread through the network. Furthermore, a spectral aggregation module (SpecAM) is proposed to generate fused images and adjust the corresponding spectral information. The experimental results for the QuickBird and WorldView3 data sets show that the proposed method is competitive with other advanced methods based on quality assessment and visual perception.
Determination of the thermal properties of Al-Zn-Mg alloy

In this work, the thermal conductivity, enthalpy of fusion, speciﬁc heat capacity, and thermal diﬀusivity of the Al-5.5Zn-2.5Mg (wt.%) ternary alloy have been investigated. Thermal conductivity of as-cast Al-5.5Zn-2.5Mg alloy was measured using comparison cut bar method in the temperature range of 323–723 K. With the increase of temperature, thermal conductivity decreased gradually in as-cast Al-5.5Zn-2.5Mg alloy. The thermal temperature coeﬃcient was calculated from the respective graph. The enthalpy of fusion and the speciﬁc heat capacity during the transformation were also determined. Thermal diﬀusivity changes were calculated as a function of temperature through the obtained thermal data. It was observed that thermal diﬀusivity values decreased with increasing temperature.
Thermodynamic Scaling of Extreme Daily Precipitation over the Tropical Ocean from Satellite Observations

22 Extreme precipitation theory has been matured over the last decade and stipulates 23 that the intensity of the extreme precipitation scales with the surface humidity. 24 Surface humidity changes can further be approximated by the surface temperature 25 changes. The analytically derived scaling coefficient based on the Clausius- 26 Clapeyron derivative is ~6%K -1 in the tropics. While frequently confronted with 27 observations over land, the theory has so far only been marginally evaluated against 28 precipitation data over the ocean. Using an ensemble of satellite-based precipitation 29 products and a suite of satellite-based SST analysis all at the 1°-1day resolution, the 30 extreme scaling is investigated for the tropical ocean (30°S-30°N). The focus is set 31 on the robust features common to all precipitation and SST products. It is shown that 32 microwave constellation-based precipitation products are characterized by a very 33 robust positive scaling over the 300 to 302.5K range of 2-day lagged SST. This SST 34 range corresponds to roughly 60% of the tropical precipitation amount. The ensemble 35 mean scaling varies between 5.67%K -1 +- 0.89%K -1 to 6.33%K -1 +- 0.81%K -1 36 depending on the considered period and is found very close to the theoretical 37 expectation. The robustness of the results confirms the fitness of the current 38 generation of constellation-based precipitation products for extreme precipitation 39 analysis. Our result further confirms the extreme theory for the whole tropical ocean. 40 Yet, significant differences in the magnitude of the extreme intensity across the 41 products prompts the urging necessity of dedicated validation efforts. 42
Exciter–Quadrature–Repeater Transmitter for Wireless Electric Vehicle Charging With High Lateral Misalignment Tolerance and Low EMF Emission

In this article, an exciter–quadrature–repeater transmitter pad is proposed in order to achieve high lateral misalignment tolerance and low leakage flux emission in electric vehicle wireless charging applications. In the proposed WPT system, a single half-bridge inverter unit is needed to energize the exciter coil, which is magnetically coupled to two larger quadrature repeater coils. The currents in the two repeater coils naturally adjust based on the lateral misalignment of the receiver pad to reduce the leakage flux density around the charging zone. The system can maintain zero phase shift between excitation voltage and current and achieve constant current charging conditions with fixed compensation capacitors in the ±150-mm lateral misalignment range. In order to verify the attributes of the proposed wireless power transfer (WPT) system, a 3-kW experiment setup with a 200-mm vertical gap was built and compared to a three-coil WPT system, which consists of a small transmitter coil, a single large repeater coil, and a receiver coil. According to the experiment results, even under extreme 150-mm lateral misalignment, the proposed WPT system has 90.7% coil-to-coil transmission efficiency. Furthermore, it achieves a 30% reduction of leakage flux density compared to the three-coil system in the 150-mm lateral misalignment case.
Rhythmic Activities Based on Traditional West Kalimantan Culture

Screen based technology leaves homework for parents and educational institutions. If this perpetual behavior continues, the child will lose a period in which all aspects of his development rapidly, one of which is that physically activity becomes limited, physical activity is generally formed in childhood aged 2-5 years. This period is called golden age period where the development of physical aspects becomes part of the development that needs special attention. The purpose of this research is to create rhythmic activities in the form of rhythmic gymnastics based on the traditional culture of West Kalimantan to provide guidance, shape variants, and enrich the movement activities for early childhood which are based on local wisdom values. Research uses research and development methods where research activities will produce a new product. The population and sample in this study were PAUD/TK in the city of Pontianak. The results of the study are the products of rhythmic activity can be accepted with a percentage rate of 100% (very acceptable) by the user, in the limited scale test the average rating obtained by the user is 86% (very good) and the broad scale test stage is obtained an average yield of 90% (very good).
Effect of School Principals’ Leadership Style on Teachers' Social and Emotional Intelligence

In this study, the effects of school principals' leadership styles as perceived by teachers on teachers' emotional intelligence and the mediating role of teachers' social intelligence in this effect were investigated. The research model is the relational survey model. In order to test the relationships among variables, structural equation modeling was employed. The analysis data were obtained from 478 teachers working in central districts of Antalya province during the 2017-2018 academic year. As a result of structural equality model tests, it was found that the structural leadership style did not affect teachers' emotional intelligence. Human resource, political, and symbolic leadership positively affect teachers' emotional intelligence. Human resource, political, and symbolic leadership styles, affect teachers' emotional intelligence, both directly and indirectly, through social intelligence.
The double burden of treating traumatic stress in low-resource communities: experiences and perspectives of non-specialist health workers in South Africa

Considering the global trend towards the dissemination and implementation of trauma-focused treatments in the majority of the world, it is imperative to ascertain the contextual factors which affect the treatment of traumatic stress, especially in low- and middle-income countries characterised by ongoing adversity such as poverty and increased levels of trauma exposure. We explored the experiences of non-specialist health workers whose work involved providing trauma-focused services in low-resource communities in South Africa. Participants (n = 18) worked at four non-governmental organisations in the Eastern Cape and Western Cape of South Africa. Semi-structured individual interviews were conducted and analysed using a phenomenologically informed thematic analysis. Two superordinate themes were identified, namely, adjusting to trauma-focused work and trauma in the social context. Five themes that made up the superordinate themes were Encountering Trauma Narratives, Support and Resilience, Going the Extra Mile, Helplessness, and Social Factors. The findings are not only in keeping with the psychological risks of trauma-focused work (e.g., vicarious traumatisation) but also highlighting the impact of the social context on the provision of trauma-focused work. Participants reported experiencing an added burden of helplessness due to social factors, such as poverty and high levels of trauma exposure, which affect the process of treating traumatic stress in low-resource settings. We discuss how these findings can contribute to efforts to implement trauma-focused services in low- and middle-income countries.
The coronavirus disease 2019 and effect on liver function: a hidden and vital interaction beyond the respiratory system

Severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) emerged in December 2019 in Wuhan province, China. SARS-CoV-2 causes coronavirus disease 2019 (COVID-19). Angiotensin-converting enzyme 2 (ACE2) has an essential role as a receptor in the entry of the SARS-CoV-2 into the host cells. It has been declared, ACE2 expresses in the lungs, heart, kidneys, placenta, and liver. This study reviews the liver's markers’ characteristics in patients with COVID-19 to achieve novel insights in improving clinical treatment. Liver disease and chronic kidney disease patients are susceptible to COVID-19. There is limited information about the effects of SARS-COV-2 on patients with preexisting liver associated disorders, including chronic hepatitis B virus or hepatitis C virus, primary biliary cirrhosis, nonalcoholic fatty liver disease, and more are yet to be understood. By considering conducted studies in this manner since ACE2 receptors, which are the primary receptors for SRAS-CoV-2, exist on the liver and lungs, heart, kidneys, and placenta, SRAS-CoV-2 can infect liver cells too. Consequently, this infection will have resulted in liver function tests’ escalated levels and total bilirubin as biochemical biomarkers. Further investigations need to be done to point out the hepatic manifestations of COVID-19's infected patients with chronic liver disease and improve clinical management and more stringent preventive measures for this type of infected patients.
Validity and judgment bias in visual analysis of single-case data

Analysis of data from single-case intervention studies commonly involves visual analysis. Previous research indicates that visual analysis may suffer from low reliability and unpromising error rates. We investigated the reliability and validity of visual analysis and explored to what extent data trends affect judgments. We administered a within-subject experiment in which 186 teacher-education students visually analyzed specifically constructed single-case graphs that included either an intervention effect, a trend effect, both effects, or no effect. Participants identified intervention effects in 75% of the graphs, regardless of the existence of a trend. Type I error rates were low (5%) in graphs without a trend but increased fivefold (25%) for graphs with a trend. Inter- and intra-rater reliability was low, particularly when a trend was present in the data.
Regional Energy and Water Budget of a Precipitating Atmosphere over Ocean

Effects of water mass imbalance and hydrometeor transport on the enthalpy flux and water phase on diabatic heating rate in computing the regional energy and water budget of the atmosphere over ocean are investigated. Equations of energy and water budget of the atmospheric column that explicitly consider the velocity of liquid and ice cloud particles, and rain and snow are formulated by separating water variables from dry air. Differences of energy budget equations formulated in this study from those used in earlier studies are that 1) diabatic heating rate depends on water phase, 2) diabatic heating due to net condensation of nonprecipitating hydrometeors is included, and 3) hydrometeors can be advected with a different velocity from the dry-air velocity. Convergence of water vapor associated with phase change and horizontal transport of hydrometeors is to increase diabatic heating in the atmospheric column where hydrometeors are formed and exported and to reduce energy where hydrometeors are imported and evaporated. The process can improve the regional energy and water mass balance when energy data products are integrated. Effects of enthalpy transport associated with water mass transport through the surface are cooling to the atmosphere and warming to the ocean when the enthalpy is averaged over the global ocean. There is no net effect to the atmosphere and ocean columns combined. While precipitation phase changes the regional diabatic heating rate up to 15 W m−2, the dependence of the global mean value on the temperature threshold of melting snow to form rain is less than 1 W m−2.
Estimating trends in atmospheric water vapor and temperature time series over Germany

Ground-based GNSS (Global Navigation Satellite Systems) have efficiently been used since the 1990s as a meteorological observing system. Recently scientists used GNSS time series of precipitable water vapor (PWV) for climate research. In this work, we compare the temporal trends estimated from GNSS time series with those estimated from European Center for Medium-Range Weather Forecasts Reanalysis (ERA-Interim) data and meteorological measurements. We aim at evaluating climate evolution in Germany by monitoring different atmospheric variables such as temperature and PWV. PWV time series were obtained by three methods: 1) estimated from ground-based GNSS observations using the method of precise point positioning, 2) inferred from ERA-Interim reanalysis data, and 3) determined based on daily in situ measurements of temperature and relative humidity. The other relevant atmospheric parameters are available from surface measurements of meteorological stations or derived from ERA-Interim. The trends are estimated using two methods, the first applies least squares to seasonally-adjusted time series and the second using the Theil-Sen estimator. The trends estimated at 113 GNSS sites, with 10 and 19 year temporal coverage, varies between −1.5 and 2 mm/decade with standard deviations below 0.25 mm/decade. These values depend on the length and the variations of the time series. Therefore, we estimated the PWV trends using ERA-Interim and surface measurements spanning from 1991 to 2016 (26 years) at synoptic 227 stations over Germany. The former shows positive PWV trends below 0.5 mm/decade while the latter shows positive trends below 0.9 mm/decade with standard deviations below 0.03 mm/decade. The estimated PWV trends correlate with the temperature trends.
Pod Positions on the Plant Associated with Pod Shattering Resistance in Soybean Genotypes

Background: One of the major constraints of soybean production in Indonesia is pod shattering which occurs after soybean pod maturity. This study aimed to identify the pod shattering resistance of different pod positions in the plant stem. Methods: Sixteen genotypes were evaluated in the field research during the dry season 2019. The experiment was laid out in a randomized block design with three replicates. Ten sample plants were randomly taken after R8 phase. Plant was divided into three parts, i.e. upper part, middle part and lower part. The shattering evaluation was done using the oven-dry method in the laboratory. The observation on the number of shattered pods was measured for each part of plant stem. Result: Pod shattering was different among the pod positions as well as among genotypes. One genotype was categorized as resistant, eight genotypes were moderate, six genotypes were susceptible and one genotype was highly susceptible. The highest percentage of the shattered pods was in the lower part of the plant stem, followed by the middle and upper part, respectively. The resistant genotypes showed the shattered pods mostly in the lower part of the stem, the moderate genotypes showed the shattered pods mostly in the lower and middle part of the stem and the susceptible genotypes shattered in all part of the stem.