Miracle-dz/UniFAR-FTUs huggingface dataset:
Prescribing Pattern of Anti-Craving Drugs Among Alcohol Use Disorder Patients

ABSTRACT Introduction Alcohol Use Disorder (AUD) is a chronic disease characterized by excessive drinking, increased craving, development of tolerance and withdrawal symptoms toward alcohol. Anti-craving drugs, psychotherapy, and supportive therapy (vitamin supplements) play a major role in managing AUD and preventing relapse. This study focuses on the prescribing pattern of anti-craving drugs among AUD patients. Methodology A prospective observational study was conducted for 6 months in the Department of Psychiatry of a multispeciality hospital in south India with a sample size of 169 AUD patients. Anti-craving drugs of each patient were analyzed. Results Males were majorly diagnosed with AUD. Approximately equal distribution of newly diagnosed cases and existing cases were seen. Most of the inpatients were treated with anti-craving drugs like benzodiazepines, ondansetron, baclofen, or topiramate, while outpatients were treated with benzodiazepines, ondansetron, or baclofen along with psychotherapy and supportive therapy. Craving was the common factor for relapse. Conclusion Patients were initially treated with the benzodiazepines in tapering or continued dose, along with ondansetron, baclofen, or topiramate. Psychotherapy and supportive therapy were given to all the patients and most of them were discharged with benzodiazepines, ondansetron, or baclofen. Several factors played a significant role in the starting of alcohol and relapse.
Appropriate use of the particle-in-cell method in low temperature plasmas: Application to the simulation of negative ion extraction

The Particle-In-Cell Monte Carlo Collision (PIC MCC) method has been used by different authors in the last ten years to describe negative ion extraction in the context of neutral beam injection for fusion. Questionable results on the intensity and profile of the extracted negative ion beamlets have been presented in several recently published papers. Using a standard explicit PIC MCC method, we show that these results are due to a non-compliance with the constraints of the numerical method (grid spacing, number of particles per cell) and to a non-physical generation of the simulated plasma. We discuss in detail the conditions of mesh convergence and plasma generation and show that the results can significantly deviate from the correct solution and lead to unphysical features when the constraints inherent to the method are not strictly fulfilled. This paper illustrates the importance of verification in any plasma simulation. Since the results presented in this paper have been obtained with careful verifica.
Detection and Identification for Void of Concrete Structure by Air-Coupled Impact-Echo Method

In the field of non-destructive testing (NDT) for concrete structures, the traditional air-coupled impact-echo technology often has the problems of complex operation and low efficiency. In order to solve these problems, this study uses Comsol software to establish a finite element model (FEM) of the concrete structure with different void sizes and obtains the variation rule of peak frequency. The recognition property of the concrete void based on peak frequency is proposed, which is explained and validated by relevant theory and experiments. The results show that compared with the depth of the void, the influence of the void width on the peak frequency increases significantly. When the void width is greater than 0.3 m, the peak frequency of the sound wave decreases with the increase in the width, and the change is obvious. This paper describes the applicability of concrete void depth less than 0.4 m for the air-coupled method and, when the concrete void depth is less than 0.4 m, the peak frequency can be used to effectively identify void widths greater than 0.3 m. The research results will be beneficial to void detection of concrete structures such as tunnel lining and pavements.
Relationship between Sociodemographic Factors and Caregiver Burden Among Mothers of Elementary School Students with ADHD Symptoms in Surabaya: A Cross-sectional Study

Objective: Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder among elementary school pupils that comes out in impulsivity, hyperactivity, and inattentiveness. Keeping an eye on children with ADHD may be burdensome for their mothers. This study aimed to perform the assessment of mothers’ burden in caregiving their children with ADHD symptoms who are enrolled as students at Elementary Schools in Surabaya and to reveal its relation with sociodemographic factors. Method: This cross-sectional study was purposively set at two elementary schools in Surabaya within a period of three months. Out of 324 total participants that partook in this study, 36 mothers were eligible as the samples to fill out sociodemographic and Zarit Burden Interview questionnaires. Afterwards, the data underwent quantitative content analysis. Result: Minimum burden to no burden at all were majorly experienced among mothers (63,9%) whilst the rest went through minimum to moderate burden (36,1%). Sociodemographic factors that were all set as variables in this study, which consisted of age (p = 0,723), education (p = 0,722), occupation (p = 0,399), marital status (p = 0,458), and income (p = 0,969) did not show significant relationship with mothers’ burden. Conclusion: Mothers endured burden mainly in minimum to no-burden-at-all level with the results having no significant correlation to sociodemographic factors.
Crystal structure, electrical, and optical properties of Cu3In7Te12 ordered defect semiconducting compound

CuInTe2 chalcopyrite semiconductor and the ordered defect compounds of the Cu2Te–In2Te3 pseudo‐binary system have recently emerged as suitable candidates for thermoelectric applications. In this article, the crystal structure, optical, and electrical properties of Cu3In7Te12, a member of this ternary system, have been studied. It was established that this material crystallizes in a tetragonal structure with space group P 4¯2c . The analysis of the optical absorption spectrum near the fundamental absorption edge shows that the energy gap is direct and the band gap varies from 1.030 to 0.952 eV between 10 and 300 K. From the analysis of electrical data, it was found that above 160 K, the electrical conduction is due to the activation of a shallow acceptor level of about 10 meV, and the value of the hole‐effective mass is mh = (1.18 ± 0.35) me. In the temperature range from 160 to 130 K, variable range hopping (VRH) mechanism of Mott‐type in the impurity band is observed. At high temperatures, the mobility is explained by taking into account the scattering mechanism of the charge carriers by donor–acceptor defect pairs, ionized and neutral impurities, acoustic and non‐polar optical phonons. In the low temperature region, the mobility data can be explained by an expression related to Mott law for VRH conductivity.
Genetic Diversity of Rotaviruses Circulating in Pediatric Patients and Domestic Animals in Thailand

Rotavirus A is a highly contagious virus that causes acute gastroenteritis in humans and a wide variety of animals. In this review, we summarized the information on rotavirus described in the studies in the last decade (2008 to 2021) in Thailand, including the prevalence, seasonality, genetic diversity, and interspecies transmission. The overall prevalence of rotavirus infection in humans ranged from 15–33%. Rotavirus infection was detected throughout the year and most frequently in the dry and cold months, typically in March. The diversity of rotavirus genotypes varied year to year and from region to region. From 2008 to 2016, rotavirus G1P[8] was detected as the most predominant genotype in Thailand. After 2016, G1P[8] decreased significantly and other genotypes including G3P[8], G8P[8], and G9P[8] were increasingly detected from 2016 to 2020. Several uncommon rotavirus strains such as G1P[6], G4P[6], and G3P[10] have also been occasionally detected. In addition, most studies on rotavirus A infection in animals in Thailand from 2011 to 2021 reported the detection of rotavirus A in piglets and canine species. It was reported that rotavirus could cross the host species barrier between humans and animals through interspecies transmission and genetic reassortment mechanisms. The surveillance of rotavirus infection is crucial to identify the trend of rotavirus infection and the emergence of novel rotavirus genotypes in this country. The data provide information on rotavirus infection and the diversity of rotavirus genotypes circulating in the pre-vaccination period, and the data will be useful for the evaluation of the effectiveness of rotavirus vaccine implementation in Thailand.
Symbolic Encoding Methods with Entropy-Based Applications to Financial Time Series Analyses

Symbolic encoding of information is the foundation of Shannon’s mathematical theory of communication. The concept of the informational efficiency of capital markets is closely related to the issue of information processing by equity market participants. Therefore, the aim of this comprehensive research is to examine and compare a battery of methods based on symbolic coding with thresholds and the modified Shannon entropy in the context of stock market efficiency. As these methods are especially useful in assessing the market efficiency in terms of sequential regularity in financial time series during extreme events, two turbulent periods are analyzed: (1) the COVID-19 pandemic outbreak and (2) the period of war in Ukraine. Selected European equity markets are investigated. The findings of empirical experiments document that the encoding method with two 5% and 95% quantile thresholds seems to be the most effective and precise procedure in recognizing the dynamic patterns in time series of stock market indices. Moreover, the Shannon entropy results obtained with the use of this symbolic encoding method are homogenous for all investigated markets and unambiguously confirm that the market informational efficiency measured by the entropy of index returns decreases during extreme event periods. Therefore, we can recommend the use of this STSA method for financial time series analyses.
THE INFLUENCE OF PERCEPTION AND ATTITUDE ON MOTIVATION TO USE E-WALLET DURING THE COVID-19 PANDEMIC

The existence of a new normal scenario during the COVID-19 pandemic causes changes in consumer behavior in utilizing the use of e-wallet as a substitute for cash in transactions, either in person or online. This study aims to analyze the effect of perceptions and attitudes on the motivation to use e-wallet for IPB students during the Covid-19 pandemic. This study uses an explanatory design involving 157 IPB University students using voluntary sampling technique. The results of the correlation test show that there is no significant relationship between the characteristics and the variables studied, perceptions and attitudes have a significant positive relationship with the motivation to use e-wallet during the Covid-19 pandemic. The results of the multiple linear regression test showed that the characteristics of the monthly allowance had a positive effect on motivation, then the perception and attitude variables had a significant positive effect on the motivation to use e-wallet. Suggestions for further research to be able to examine other variables or factors that can influence the motivation to use e-wallets. One of them is in terms of e-wallet risk and security.
Weibull dağılımında sansürlü sağ kalım verileri için güven aralığı tahmini/Confidence intervals estimation for survival function in weibull distribution based on censored survival time data

Weibull distribution plays an important role in the analysis of survival or life time data. Previous articles presented a confidence interval estimate of survival function using Cox’s proportional hazard model with covariates. Her idea more recently extended to the exponential distribution and exponential proportional hazard model, respectively. The same idea may be extended to the Weibull distribution which provides that the survival times have a Weibull distributed with random variable. In this study, we formed confidence interval for Weibull survival function in any values of the survival time in the data. Real data examples are also considered for the discussed confidence intervals. Weibull distribution plays an important role in the analysis of survival or life time data. Previous articles presented a confidence interval estimate of survival function using Cox’s proportional hazard model with covariates. Her idea more recently extended to the exponential distribution and exponential proportional hazard model, respectively. The same idea may be extended to the Weibull distribution which provides that the survival times have a Weibull distributed with random variable. In this study, we formed confidence interval for Weibull survival function in any values of the survival time in the data. Real data examples are also considered for the discussed confidence intervals.
Chitosan- (Prunus avium) Gum Nanocapsules Loaded with Orange Peel Extract

The orange peel extract (OE) is an additive material that has been used widely as a natural antioxidant source and bioactive compounds in Pharmaceutical and food sector. The poor stability and degradation of this extract were considered problems in the industry. New technologies have been introduced recently to prevent this degradation as encapsulation. In this work, chitosan (CS) and Prunus avium gum (PG) were proposed as promising based materials for encapsulation OE via ionic gelation method. The effect of different ratios of CS: PG and CS: OE on encapsulation efficiency (EE %) and the capsules size were investigated. The EE% of CS-PG was ranged from 60.63 to 87.06 % with a size range of 40 to 95nm according to Atomic Force Microscope (AFM) images. The formulation with the highest EE% was chosen to be characterized by FTIR, scanning electron microscope (SEM), and in vitro release study. The FTIR spectra confirm the cross-linking between the NH3+ group in CS and the negative functional group (-COO-) in PG. According to SEM micrographs, the capsules showed a spongy porous structure. The in vitro release study indicated that the release of OE from CS-PG matrix in the acidic and neutral medium was 55.15 and 52.67% respectively after incubation for 240 minutes. This study found that CS-PG can be used as an effective wall matrix for encapsulating OE and delivering it into the gastrointestinal system.
Investigate The Relationship Between Tourism, Economic Growth, Carbon Emissions and Employment in West Java Province

Pariwisata telah menjadi sektor yang semakin penting bagi banyak negara berkembang, termasuk Indonesia. Sementara pariwisata dapat memberikan manfaat ekonomi dan kesempatan kerja, pariwisata juga dapat berkontribusi terhadap emisi karbon dan memiliki dampak negatif terhadap lingkungan dan masyarakat lokal. Penelitian ini bertujuan untuk menyelidiki hubungan antara pariwisata, pertumbuhan ekonomi, emisi karbon, dan lapangan kerja di Provinsi Jawa Barat, Indonesia. Pendekatan mixed method digunakan, menggabungkan analisis data kuantitatif dengan wawancara kualitatif dengan pemangku kepentingan industri pariwisata. Hasilnya menunjukkan bahwa pariwisata dapat memiliki dampak positif dan negatif terhadap pertumbuhan ekonomi, lapangan kerja, dan emisi karbon di wilayah tersebut. Sementara pariwisata dapat berkontribusi pada pertumbuhan ekonomi dan penciptaan lapangan kerja, pariwisata juga dapat berkontribusi pada emisi karbon, yang dapat memiliki efek negatif terhadap lingkungan dan masyarakat lokal. Untuk mempromosikan pengembangan pariwisata berkelanjutan di kawasan ini, pembuat kebijakan dan pemangku kepentingan industri harus mempertimbangkan penerapan langkah-langkah untuk mengurangi jejak karbon dari kegiatan pariwisata dan mempertimbangkan konteks sosial dan ekonomi yang lebih luas di mana pariwisata beroperasi.
The Difference in Spectral Power Density in Sleep Electroencephalography According to the Estimation of Total Sleep Time

Objective: The discrepancy between self-reported subjective sleep time and objective sleep time varies from person to person, and the mechanism that can explain this discrepancy is unclear. This study aimed to investigate the difference in the spectral power of sleep electroencephalography (EEG) according to the estimation of total sleep time (TST). Methods: Of the 4,080 participants in the Sleep Heart Health Study, 2,363 participants with complete data from polysomnography, morning sleep survey, and spectral power of sleep EEG were included in the analysis. The participants were classified as normo-estimators (estimation of TST <±60 min), under-estimators (underestimation of TST ≤60 min), or over-estimators (overestimation of TST ≥60 min). A fast Fourier transformation was used to calculate the EEG power spectrum for total sleep duration within contiguous 30-s epochs of sleep. The sleep EEG spectral power was compared among the groups after adjusting for potential confounding factors, such as age, sex, proportion of participants with insomnia, apnea-hypopnea index, and TST.Results: Of the 2,363 participants, 1,507 (63.8%), 412 (17.4%), and 444 (18.8%) were assigned to the normo-, under-, and over-estimator groups, respectively. The power spectra during total sleep differed significantly among the groups in the delta (p=0.008) and theta bands (p=0.017) after controlling for potential confounders.Conclusion: Higher delta and theta powers were found in the under-estimators than in the over-estimators. This study suggests that differences exist in the microstructures of polysomnography-derived sleep EEG between these two groups. This study suggests that differences exist in the microstructures of polysomnography-derived sleep EEG based on differences in sleep time estimation.
ON THE LOCAL LANGLANDS CORRESPONDENCE FOR SPLIT CLASSICAL GROUPS OVER LOCAL FUNCTION FIELDS

We prove certain depth bounds for Arthur’s endoscopic transfer of representations from classical groups to the corresponding general linear groups over local fields of characteristic 0, with some restrictions on the residue characteristic. We then use these results and the method of Deligne and Kazhdan of studying representation theory over close local fields to obtain, under some restrictions on the characteristic, the local Langlands correspondence for split classical groups over local function fields from the corresponding result of Arthur in characteristic 0.
Dynamic Particles for Adaptive Sampling of Implicit Surfaces

A ubiquitous requirement in many mathematical and computational problems is a set of well-placed point samples. For producing very even distributions of samples across complex surfaces, a dynamic particle system is a controllable mechanism that naturally accommodates strict sampling requirements. The system first constrains particles to a surface, and then moves the particles across the surface until they are arranged in minimal energy configurations. Adaptivity is added into the system by scaling the distance between particles, causing higher densities of points around surface features. In this dissertation we explore and refine the dynamics of particle systems for generating efficient and adaptive point samples of implicit surfaces. Throughout this dissertation, we apply the adaptive particle system framework to several application areas. First, efficient visualizations of high-order finite element datasets are generated by developing adaptivity metrics of surfaces that exist in the presence of curvilinear coordinate transformation. Second, a framework is proposed that meets fundamental sampling constraints of Delaunay-based surface reconstruction algorithms. In meeting these constraints, the particle distributions produce nearly-regular, efficient isosurface tessellation that are geometrically and topologically accurate. And third, a novel analytic representation of material boundaries in multimaterial volume datasets is developed, as well as a set of projection operators, that allow for explicit sampling of nonmanifold material intersections. Using a tetrahedral labeling algorithm, the material intersections are extracted as watertight, nonmanifold meshes that are well-suited for simulations.
Selected Technical Aspects of Molecular Allergy Diagnostics

Diagnosis of allergic diseases is a complex, multi-stage process. It often requires the use of various diagnostic tools. The in vitro diagnostics (IVD), which includes various laboratory tests, is one of the stages of this process. Standard laboratory tests include the measurement of the serum concentration of specific immunoglobulin E (sIgE) for selected allergens, full allergen extracts and/or single allergen components (molecules). The measurement of IgE sIgE to the allergen components is called molecular allergy diagnosis. During the standard laboratory diagnostic process, various models of immunochemical tests are used, which enable the measurement of sIgE for single allergens (one-parameter tests, singleplex) or IgE specific for many different allergens (multi-parameter tests, multiplex) in one test. Currently, there are many different test kits available, validated for IVD, which differ in the method type and allergen profile. The aim of the manuscript is to present various technical aspects related to modern allergy diagnostics, especially in the area of molecular allergy diagnostics.
II Zw 40 – 30 Doradus on Steroids

Abstract We obtained HST COS G140L spectra of the enigmatic nearby blue compact dwarf galaxy II Zw 40. The galaxy hosts a nuclear super star cluster embedded in a radio-bright nebula, similar to those observed in the related blue compact dwarfs NGC 5253 and Henize 2-10. The ultraviolet spectrum of II Zw 40 is exceptional in terms of the strength of He II 1640, O III] 1666 and C III] 1909. We determined reddening, age, and the cluster mass from the ultraviolet data. The super nebula and the ionizing cluster exceed the ionizing luminosity and stellar mass of the local benchmark 30 Doradus by an order of magnitude. Comparison with stellar evolution models accounting for rotation reveals serious short-comings: these models do not account for the presence of Wolf-Rayet-like stars at young ages observed in II Zw 40. Photoionization modeling is used to probe the origin of the nebular lines and determine gas phase abundances. C/O is solar, in agreement with the result of the stellar-wind modeling.
An efficient point-to-plane registration algorithm for affine transformations

The problem of aligning of 3D point data is the known registration task. The most popular registration algorithm is the Iterative Closest Point (ICP) algorithm. The traditional ICP algorithm is a fast and accurate approach for rigid registration between two point clouds but it is unable to handle affine case. Recently, extension of the ICP algorithm for composition of scaling, rotation, and translation is proposed. A generalized ICP version for an arbitrary affine transformation is also suggested. In this paper, a new iterative algorithm for registration of point clouds based on the point-to-plane ICP algorithm with affine transformations is proposed. At each iteration, a closed-form solution to the affine transformation is derived. This approach allows us to get a precise solution for transformations such as rotation, translation, and scaling. With the help of computer simulation, the proposed algorithm is compared with common registration algorithms.