Miracle-dz/UniFAR-FTUs huggingface dataset:
An Addressing on Risk of Mental Health Disorders Through Hybrid Takaful (Islamic Insurance): A Case of Malaysia

In addition to heart disease, other Malaysian extensive illnesses are mental health disorders. 29.2 per cent of Malaysians have recently suffered from mental illness, which has increased threefold compared to the previous year. The lowest income group accounts for the bulk of Malaysians suffering from mental illness. Currently, Singapore list among the countries has operative providing mental health insurance together with Australia, the United Kingdom and the United States of America. Malaysia is still far behind on offering mental health coverage with such a scheme only provided by AIA Malaysia. Therefore, through the takaful product, the purpose of this study is to address the risk of mental health disorders by hybrid takaful. The paper concluded that in order to maintain the promoting coverage and minimizing damage to mental health patients to human well-being, takaful mental health is needed in Malaysia market. In addition, this research would provide insight into the takaful industry for the development of a new and competitive product that could assist patients with a mental health disorder.
Fast Semantic Segmentation Model PULNet and Lawn Boundary Detection Method

To quickly and accurately identify the lawn area and boundary positions of different scenes, environments, and seasons, we propose a new semantic segmentation model PULNet and lawn boundary detection methods. Firstly, the ResNet50 network is improved to expand its effective receptive field, a Pooling pyramid (P) and an Upsampling dimensionality reduction structure (U) is constructed based on the Dilated_ResNet50 network. Secondly, a fast and accurate PULNet semantic segmentation network is proposed integrating the image Local detail information structure (L). Finally, an Eight-neighbor coding method is designed to accurately locate the border of the lawn. Experiments on the ADE20K dataset obtained the mean Intersection over Union (mIoU) and mean Pixel Accuracy (mPA) 32.86% and 75.65% respectively. The average speed is 82.7 frames per second on a platform with GTX 1080Ti GPU. Compared with the Fully Convolutional Network (FCN) the mIoU and mPA are increased by 3.47% and 4.33% respectively, and the speed is 11 times higher. The proposed method can be used for fast and accurate lawn semantic segmentation and boundary detection.
Shapeshifting attachment: Exploring multi‐dimensional people–place bonds in place‐based citizen science

1. Research on citizen science programmes has highlighted that they can foster science content and knowledge gain, enhance pro-environmental behaviour and cultivate civic action among participants. Especially in the case of place-based citizen science, which requires hands-on repeated activity in an out-of-door setting through a scientific lens, evidence suggests that some of these outcomes may be linked to the unique people–place relationships and interactions afforded by such programmes. 2. Even still, studies that empirically examine the influence of place on citizen science participant and programme outcomes are scant. This is due, in part, to the methodological challenges involved in interrogating complex aspects of a person's sense of place—aspects like place attachment—the emotional bonds between people and place. 3. Here, an adapted three-dimensional model of place attachment is proposed as a theoretical framework from which place-based citizen science experiences and outcomes might be empirically examined in depth. The model, which posits personal, social and natural environment dimensions of place attachment is contextu-alized with research findings from the US-based Coastal Observation and
A fatal case of liver abscess caused by hypervirulent Klebsiella pneumoniae in a diabetic adolescent: A clinical and laboratory study

Hypervirulent variants of Klebsiella pneumoniae (hvKp) are capable of causing life‐threatening pyogenic liver abscesses (PLAs), but hvKp caused PLAs was seldom reported in pediatric populations. Hence, there is an urgent need to raise our awareness of this phenomenon in pediatric populations.
Creativity, Mating, and Reproductive Successes Outside the WEIRD World

ABSTRACT This study provides an empirical test of the relationship between creative potential, mating, and reproductive success in a sample using natural methods of fertility control: the Meru tribe living in the regions of Laare and Mutuati in Kenya. The participants (N = 133; 65 females) solved a figural creativity test (the Test of Creative Thinking – Drawing Production, TCT-DP) and provided information about the number of spouses, children, length of their schooling, as well as wealth. Analyses demonstrated that creative potential negatively predicted the number of offspring, but this relation was fully mediated by the number of spouses: more creative people more often stayed single and did not have offspring. The theoretical consequences of these findings are discussed in light of the evolutionary psychology of creativity.
Analysis of Student Readiness in Facing Minimum Competency Assesment

In 2021 there will be a substitute for the National Examination, namely Minimum Competency Assessment and character surveys. The role of the AKM is used to measure literacy and numeracy competencies. To test the readiness of students and teachers, at the beginning of 2020 a rehearsal for the implementation of the AKM was held. Therefore, this study aims to analyze the perceptions of students' readiness in facing the Minimum Competency Assessment. This study applies a qualitative and quantitative approach by conducting surveys and interviews with students in public and private high schools and vocational high schools with high, medium, and low scores for the category of National Examination results in Aceh Province in 2019. The results of this study state that some Highest school and vocational high school students think that the AKM questions tested are not in accordance with the material in the learning process taught by teachers in schools so that they are not ready to face AKM if it is held this year.
Two overlooked elusive crakes (Aves, Rallidae): first country record of Ocellated Crake Micropygia schomburgkii in Ecuador and Rufous-faced Crake Laterallus xenopterus in Peru

ABSTRACT We present two new distributional country records based on previously misidentified sound recordings: Ocellated Crake, Micropygia schomburgkii (Schomburgk, 1848), in Zamora Chinchipe (Ecuador) and Rufous-faced Crake, Laterallus xenopterus Conover, 1934, in Madre de Dios (Peru). We show supporting spectrograms of sound recordings and provide tools to justify the correct identification of the trills of both species. This range extension is especially relevant for the Vulnerable L. xenopterus, representing a new important breeding site in the Bahuaja Sonene National Park, Peru.
Evaluation of Learning Stations on Earth Science Concepts by Gifted Students: Bursa PUYED Example

Bu calismanin amaci yer bilimleri kavramlari hakkindaki ogrenme istasyonlari ile desteklenen fen dersini ustun yetenekli ogrenciler acisindan degerlendirmektir. Arastirma, besinci sinifta ogrenim goren dort ustun yetenekli ogrenci ile Bursa Potansiyel Ustun Yetenekliler Dernegi (PUYED)’nde gerceklestirilmistir. Ogrenme istasyonlari ziyareti sonrasi ogrencilerle yapilan yari yapilandirilmis gorusmeler, yer bilimleri gunlukleri ve istasyonlarin yonergelerinde yer alan sorulara verilen cevaplar veri toplama araclari olarak kullanilmis ve veriler betimsel olarak analiz edilmistir. Arastirma deseni olarak fenomenolojik yaklasim kullanilmistir. Gunluklerden elde edilen bulgularda istasyonlari ziyaretleri oncesi ogrencilerin genel olarak deprem, fay ve yanardag gibi kavramlardan bahsettikleri, fakat ziyaretleri sonrasinda levhalarin hareketlerinden, depremin nasil olustugundan ve daglarin depremle iliskisi gibi kavramlara daha detayli bicimde degindikleri gorulmektedir. Verileri yorumlayarak sonuc cikarabilmis ve model-gercek iliskisini kurabilmislerdir. Yapilan gorusmelerde istasyonlar hakkindaki goruslerinin olumlu oldugunu ve kendi okullarindaki fen derslerinde de kavramlari ogrenme istasyonlari ile ogrenmek istediklerini belirtmislerdir. Ogrenme istasyonlarinin ustun yetenekli ogrencilere uygulanacak fen dersi ogretim programlarinda etkin olarak kullanilmasi onerilmektedir.
MEMODELKAN TINGKAT PENGANGGURAN TERBUKA DI INDONESIA

Unemployment is one of the problems in the field in economic development. To determine the development of open unemployment in a region, an indicator of the open unemployment rate is used. The highest of open unemployment rate is Aceh Province and Maluku Province in 2015 at 9,93 percent and the lowest Bali Province in 2018 at 1,37 percent. The purpose of this work is to modeling and determine the significant factors that affect the open unemployment rate in Indonesia by applying spatial panel data regression. The results show indicate that there is no effect of spatial dependence on the model, so the model chosen to model the open unemployment rate in Indonesia is a panel data model with a fixed time effect and significant affect by head count index, the percentage of illiterate people, the provincial minimum wage, and the number of the workforce.
Faraday Rotation Due to Quantum Anomalous Hall Effect in Cr-Doped (Bi,Sb)2Te3

Quantum anomalous Hall effect (QAHE) represents a quantized version of the classical anomalous Hall effect. In the latter case the magnetization takes over the role of magnetic field and induces nonzero off-diagonal elements in the conductivity matrix. In magnetic topological insulators with the band inversion the QAHE can be reached due to quantized conduction channel at the sample edge if the Fermi energy is tuned into the surface magnetic gap. In the static regime the QAHE is seen as a zero-field step in the Hall resistivity. At optical frequencies this step is transformed into a quantized value of the polarization rotation approaching the fine structure constant α=e2/2ε0hc≈1/137. However, due to material issues the steps reach the predicted values at millikelvin temperatures only. In this work we investigate the Faraday polarization rotation in thin films of Cr-doped topological insulator and in the sub-terahertz frequency range. Well defined polarization rotation steps can be observed in transmittance in Faraday geometry. At temperatures down to T=1.85 K the value of the rotation reached about 20% of the fine structure constant and disappeared completely for T>20 K.
Pretreatment of cartap pesticide wastewater by Fenton reagent

The degradation of Cartap pesticide wastewater by Fenton's reagent was investigated. The experiment was carried out to study the effects of the dosage of FeSO4·7H2O and H2O2,initial p H,reaction temperature,the reaction time and bed rotation speed on the degradation of the Cartap pesticide wastewater,respectively. The Cartap pesticide wastewater has a chemical oxygen demand( COD) concentration of 676. 8 mg / L in a sample of 100 m L. The optimum conditions of degradation in Fenton's reagent system were determined to be 1 g Fe SO4·7H2O + 4 m L H2O2,p H of 3,bed rotation speed of 160 r/min,and reacing for 60 min at 25℃. Under these conditions,the COD removal efficiency of Fenton's reagent pretreatment was 83. 9%. The biodegradable BOD5/ COD value of the Cartap pesticide wastewater increased from 0. 0745 ~ 0. 0747 to 0. 9066 ~ 0. 9228 after the solution was treated by Fenton's reagent,it was advantageous to subsequent biodegradation processing. Considering the treatment costs,it is recommended that it would be advantageous to use a dosage of 0. 5 g Fe SO4·7H2O + 1 m L H2O2. Under these conditions,the removal of COD could reach 65. 5%.
Epistemological similarities, prestige hierarchies, and double major combinations

ABSTRACT With increasing knowledge specialization, disciplines continuously communicate and contest the boundaries of knowledge. Within the dynamic space of collaboration and communication between fields that has ensued, it is not clear whether these new boundaries are aligned to knowledge similarities, or to prestige overlaps. In this article, I explore the significant case example of college double major combinations to show: (1) how the configuration and availability of double major programs are linked to the epistemological and social aspects of the disciplines; and (2) the ways in which disciplinary communication is shaped by students’ choices. Using a large administrative data set of undergraduate students, I show that students’ choices of double majors maintain knowledge boundaries, as proposed by the epistemological essentialism approach. However, when students deviate from this dominant pattern, their choices align with the prestige of the field; this leads to a unique structure of combinations, but also creates hierarchies based on knowledge combinations.
A Robust Torque and Flux Prediction Model by a Modified Disturbance Rejection Method for Finite-Set Model-Predictive Control of Induction Motor

The extended state observer (ESO) has been found as an efficient solution for the model sensitivity in the model-predictive control (MPC). Generally, the ESO is used for disturbance rejection when the voltage reference is the output of the control law. The observed disturbance is subtracted from the control law. Thus, using disturbance rejection for finite-set MPC is a challenge when it is utilized by a cost function consisting of the errors of the torque and the flux. In this research, a modified disturbance rejection method is used in a feedforward shape to improve the robustness of the finite-set model-predictive torque control. In this regard, the motor parameters have not appeared in the torque prediction algorithm. Only a rough approximation of the motor parameters is needed to design the ESO, which means that the proposed method has a very low dependence on the motor parameters. Besides, a thorough tuning guideline is proposed to tune the local parameters based on the convergence analysis of the ESO by using the self-stable region approach and the Lyapunov function. The performance of the proposed MPC scheme is evaluated through simulations and experimental tests. The results of the proposed method are compared with the classic MPC results.
Label‐free Selective Detection of Protein Markers in the Picomolar Range via a Convenient Voltammetric Sensing Strategy

A convenient strategy for the preparation of label‐free selective protein biomarker sensors is presented. After formation of a ferrocene terminated monolayer on a gold electrode using thiol chemistry, grafting of an antifouling phenylalanine layer onto the preformed ferrocene monolayer is achieved by diazonium chemistry. This provides a platform for receptor (anti‐BSA or anti‐CRP) immobilization as well an antifouling interface. Specific target binding leads to attenuation of the voltammetric faradaic signal of the underlying ferrocene group. Thereby, label‐free, selective, voltammetric detection is achieved with highly competitive limits of detection in the low (≤4) picomolar range for both BSA and CRP.
12 Magnetic particle imaging of particle dynamics in complex matrix systems

Magnetic particle imaging (MPI) is a young imagingmodality for biomedical applications. It uses magnetic nanoparticles as a tracer material to produce threedimensional images of the spatial tracer distribution in the field-of-view. Since the tracermagnetization dynamics are tied to the hydrodynamicmobility via the Brownian relaxation mechanism, MPI is also capable of mapping the local environment during the imaging process. Since the influence of viscosity or temperature on the harmonic spectrum is very complicated, we used magnetic particle spectroscopy (MPS) as an integral measurement technique to investigate the relationships. We studied MPS spectra as function of both viscosity and temperature on model particle systems. With multispectral MPS, we also developed an empirical tool for treating more complex scenarios via a calibration approach. We demonstrate that MPS/MPI are powerful methods for studying particle-matrix interactions in complex media.
Impact of Large-Scale Climate Indices on Meteorological Drought of Coastal Ghana

The devastating effects of drought on agriculture, water resources, and other socioeconomic activities have severe consequences on food security and water resource management. Understanding the mechanism that drives drought and predicting its variability is important for enhancing early warning and disaster risk management. In this study, meteorological droughts over six coastal synoptic stations were investigated using three-month Standardized Precipitation Index (SPI). The dry seasons of November-December-January (NDJ), December-January-February (DJF), and January-February-March (JFM) were the focal seasons for the study. Trends of dry seasons SPIs were evaluated using seasonal Mann–Kendall test. The relationship between drought SPI and ocean-atmosphere climate indices and their predictive ability were assessed using Pearson correlation and Akaike Information Criterion (AIC) stepwise regression method to select best climate indices at lagged timestep that fit the SPI. The SPI exhibited moderate to severe drought during the dry seasons. Accra exhibited a significant increasing SPI trend in JFM, NDJ, and DJF seasons. Besides, Saltpond during DJF, Tema, and Axim in NDJ season showed significant increasing trend of SPI. In recent years, SPIs in dry seasons are increasing, an indication of weak drought intensity, and the catchment areas are becoming wetter in the traditional dry seasons. Direct (inverse) relationship was established between dry seasons SPIs and Atlantic (equatorial Pacific) ocean's climate indices. The significant climate indices modulating drought SPIs at different time lags are a combination of either Nino 3.4, Nino 4, Nino 3, Nino 1 + 2, TNA, TSA, AMM, or AMO for a given station. The AIC stepwise regression model explained up to 48% of the variance in the drought SPI and indicates Nino 3.4, Nino 4, Nino 3, Nino 1 + 2, TNA, TSA, AMM, and AMO have great potential for seasonal drought prediction over Coastal Ghana.
Research on Forecast of Rail Traffic Flow Based on ARIMA Model

With the rapid economic development, subway-based rail transit is spreading all over the country, and efficient prediction of rail passenger flow is the key to alleviating traffic pressure. In view of the time-series characteristics of subway passenger flow data, the author uses the simulation results to show that the ARIMA model has higher accuracy and better effect in predicting the rail transit flow.
Relationship Between Serum Hepatitis B Core-Related Antigen and Hepatitis B Surface Antigen in Hepatitis B Cirrhosis Patients With HBV-DNA Negative Status: A Cross-Sectional Study

Background: The relationship between serum hepatitis B surface antigen (HBsAg) and HBV core-related antigen (HBcrAg) titers, which is especially clinically important in monitoring virus replication activity and progression of liver disease, is not thoroughly studied in patients with hepatitis B cirrhosis, particularly in HBV-DNA negative patients. This retrospective study explored the relationship between serum HBcrAg and HBsAg titers in hepatitis B cirrhosis patients with HBV-DNA negative status. Methods: We analyzed data and samples from 180 patients diagnosed with HBV liver cirrhosis. Statistical analyses included baseline characteristics, univariate analysis, stratification analysis, three different analytical models, Spearman’s correlation analysis, generalized additive model, and two-piecewise linear regression model. Results: After adjusting for confounders (age, sex, primary hepatic carcinoma, HBeAg, Child–Pugh class, alcoholic liver disease, Diabetes mellitus , and type and duration of use of anti-HBV agents), a non-linear relationship was found between HBsAg and HBcrAg. The inflection point was 0.58. The effect sizes, confidence intervals, and P value on the left and right sides of the inflection point were 0.10, (–0.23–0.42), 0.555 and 0.62, (0.46–0.78), ＜0.0001, respectively. There was statistical significance (all p<0.01) between HBcrAg and HBsAg among all the stratification variables except for the "others" group in type of anti-HBV agents. Spearman’s correlation coefficient between HBsAg and HBcrAg was 0.613 (P<0.0001). Conclusions: There was a clear non-linear relationship between HBcrAg and HBsAg in patients with hepatitis B cirrhosis who were HBV-DNA negative, and the correlation between serum HBcrAg and HBsAg was moderate.
Victims’ voice and representation in the Colombian press: ‘Dead of a Lesser God’

The signature of the peace agreement between FARC guerrillas and the Colombian government has prompted reflection on the role that different sectors of society, including the mainstream media, have played in the perpetuation of the internal conflict. Based on CDA and SFL concepts, this paper contrasts the representation of victims in a 300,000+ word corpus of newspaper reports of violent acts committed by right-wing paramilitaries and Marxist guerrillas between 1998 and 2006, the most violent period of the conflict. The results clearly show not only a significantly higher word count for guerrilla victims’ statements, but also significantly more frequent examples of personalisation such as given names, kinship and emotional language. On the other hand, paramilitary victims are backgrounded by the significantly more frequent use of generic terms. These findings are consistent with previous studies on the topic which identified the systematic concealment of the responsibility of the paramilitaries in serious human right violations.
Quantitative resistance differences between and within natural populations of Solanum chilense against the oomycete pathogen Phytophthora infestans

Abstract The wild tomato species Solanum chilense is divided into geographically and genetically distinct populations that show signs of defense gene selection and differential phenotypes when challenged with several phytopathogens, including the oomycete causal agent of late blight Phytophthora infestans. To better understand the phenotypic diversity of this disease resistance in S. chilense and to assess the effect of plant genotype versus pathogen isolate, respectively, we evaluated infection frequency in a systematic approach and with large sample sizes. We studied 85 genetically distinct individuals representing nine geographically separated populations of S. chilense. This showed that differences in quantitative resistance can be observed between but also within populations at the level of individual plants. Our data also did not reveal complete immunity in any of the genotypes. We further evaluated the resistance of a subset of the plants against P. infestans isolates with diverse virulence properties. This confirmed that the relative differences in resistance phenotypes between individuals were mainly determined by the plant genotype under consideration with modest effects of pathogen isolate used in the study. Thus, our report suggests that the observed quantitative resistance against P. infestans in natural populations of a wild tomato species S. chilense is the result of basal defense responses that depend on the host genotype and are pathogen isolate‐unspecific.
A Recognition Method for Time-domain Waveform Images of Electric Traction Network Overvoltage Based on Deep Learning

A large amount of time-domain waveform images of overvoltage of electric traction network are collected during the on-board test of EMU. The traditional time-domain or frequency-domain analysis and classification method can’t be directly applied to time-domain waveform images. In order to analyze these images, firstly, image preprocessing is carried out. Then, the data set of time-domain waveform images is established. Finally, the CNN (convolutional neural network) classification model is trained based on data set. The results show that the sensitivity of recognition is above 81%, and this method is suitable for the time-domain waveform image of overvoltage of electric traction network.