Miracle-dz/UniFAR-FTUs huggingface dataset:
Sexual Experience and Contraceptive Use among Unmarried Adolescent University Students in Mandalay, Myanmar

Increase in proportion of sexually active adolescents and insufficient use of effective contraceptive methods contributed to an increase in unintended teenage pregnancy, abortion and STI among adolescents in Myanmar. The study investigated the sexual behavior and contraceptive use among unmarried adolescent university students. A crosssectional descriptive study was conducted using an anonymized, self-administered questionnaire with adolescents who were attending at universities situated in Mandalay District. The six universities were randomly selected, from which 960 students were recruited using a probability proportional to size (PPS) sampling method. After excluding cases with missing background information, 850 students were included in the analysis. Descriptive statistics were used to describe the findings. Among 850 students, 12.4% were from health-related universities and the remaining was from other universities. A total of 135 unmarried students (16%) responded that they had sexual experience. The mean age of their first sexual exposure was 17.9 years (17.6 years for girls and 18.1 years for boys). Their contraceptive use was high (more than 75%) and was higher when they had sex with persons who were not their regular partners (more than 90%). Among them, approximately 50% used contraception consistently and the commonly used method was the male condom. The mostly cited reasons for not using contraception consistently were unaware of contraceptive methods, unplanned sex, forced sex, unwillingness to use contraception by the partner and fear of contraceptive side effects. The higher percentage of students with better contraceptive and STI knowledge and those with more permissive attitudes towards men’s and women’s premarital sex used contraception more consistently. About 11% of students or their partners who had had sexual exposure in the past (12 out of 110) had an experience of pregnancy, and 10 out of 12 pregnancies were unwanted and nine ended with miscarriage. The findings indicated the need for improving knowledge of contraception and sexually transmitted infections among adolescent students to promote consistent contraceptive use and effective prevention of unwanted pregnancy, abortion and sexually transmitted infections
Natural‐clay‐reinforced hydrogel adsorbent: Rapid adsorption of heavy‐metal ions and dyes from textile wastewater

In this study, two natural clay minerals were combined with hydrogels to study the influence of natural adsorbents on the adsorption performance of hydrogels. Here, we separately doped bentonite and vermiculite and discussed their mechanical properties and adsorption properties. It was found that the compressive performance of the hydrogel added with clay increased by 21.6% and the swelling performance decreased or increased to varying degrees. Regarding the adsorption performance of hydrogels, it can be seen from the adsorption Langmuir isotherm model that the adsorption capacity of clay–hydrogels is improved to varying degrees (6.6%–15.8%) compared with non‐clay–hydrogels, and clay–hydrogels have different degrees of improvement (6.6%–15.8%). The hydrogel has a removal efficiency of more than 95% for low concentrations of heavy‐metal ions and dyes. In addition, the clay–hydrogel has low cost and is easy to prepare, and can be recycled many times. Therefore, the material is of great significance for the treatment of pollutants.
Sex differences in risk factors for acute stroke

Stroke is one of the leading causes of morbidity and mortality in both developed countries and developing countries. The aim of this study is to examine whether there are differences in demographic characteristics, life habits (e.g.smoking and consumption of alcohol) and medical anamnesis of men and women diseased by acute stroke. Using cross - sectional study, the patients that were diagnosed with acute stroke and hospitalized in the period from November 1st to November 30th 2014. In Special Hospital for Cerebrovascular Diseases Sveti Sava in Belgrade were taken into account. Discharge lists from these patients were read through and analyzed giving data about general demographic characteristics, life habits (e.g. smoking and alcohol consumption) and medical anamnesis (arterial hypertension, diabetes mellitus, dyslipidemia, cardiac disorders (arrhythmia, the heart failure, coronary artery disease ), atherosclerosis). For statistical analysis we used the ch² and t - test. The total number of hospitalized patients with the diagnosis of acute stroke in the given period was 113, of which 57 were males (50.4 %) and 56 females (49.6 %). The average age of patients with stroke was significantly higher in women than in men (t = 2.62; DF = 111; p = 0.010). Men were significantly more likely to consume alcohol than women (ch² = 7.35; p = 0.007), while in the other examined risk factors for acute stroke, there was no statistically significant difference between men and women. The results point that men and women with acute stroke statistically significantly differ in relation to age and alcohol consumption.
Protective Effects of Aloe vera Gel Ethanolic Extract Against Streptozotocin-induced Hepato-pancreatic Toxicity in Female Albino Rats

Aims: Organ toxicity results from the accumulation of toxic substances in the organs which ultimately culminates in failure of the organ. Allopathic medications are not very effective in organ protection. Hence, it is imperative that a natural and safer organoprotective agent should be found. Study Design: To assess the organoprotective effect of Aloe vera gel against STZ for renal, hepato and pancreatic toxicity in albino Wistar rats. Place and Duration of Study: Whole work had been completed at the Microbiology and Molecular biology labs of IMBB, The University of Lahore during 2019- 2020. Methodology: Organoprotective ability of different doses of ethanolic extracts of Aloe vera (A. vera) gel was evaluated against intraperitoneal induction of 55mg/kg Streptozotocin (STZ)-induced pancreatic, renal and hepatic toxicity in female albino Wistar rats by keeping metformin (100mg/kg) as a positive protective control. Results: Results revealed that 200 mg/kg ethanolic extracts of A. vera gel showed significant organoprotection as ALT (57.5±7.45I U/L), AST (39.8±3.45I U/L), ALP (438±103I U/L), urea (74.1±8.71mg/dl), creatinine (0.688±0.146 mg/dl), amylase (1247±75 U/L) and lipase (16.6±2.02 U/L) were significantly less than organotoxic control [ALT (103±7.23I U/L), AST (237±12.7I U/L), ALP (2092±195 U/L), Urea (153±18.6mg/dl), Creatinine (1.54±0.262 mg/dl), amylase (675±83 U/L) and lipase (12.2±1.04 U/L)], and these results were near or equal to organoprotective control [ALT (71.6±8.98I U/L), AST (121±28.1 U/L), ALP (916±103 U/L), urea (115±11.4mg/dl), creatinine (1.14±0.226 mg/dl), amylase (667±80 U/L) and lipase (16.6±2.02 U/L)]. The histopathological analysis also highlighted more organoprotection at this concentration as compared to other doses of extract. Conclusion: A. vera gel extract is an able organoprotective agent. This extract can be studied further for its active ingredients as a source of hepatoprotective and nephroprotective agents.
Forecasting of Production and Consumption of Ethanol in Thailand Using Time Series Analysis

Ethanol is the important renewable energy in Thailand. It is alcohol produced from sugarcane and tapioca that are agricultural products available in Thailand. Ethanol is used to blend with gasoline for use as gasohol. Ethanol production and consumption in Thailand are fluctuating. Consequently, planning of ethanol production and consumption is irrelevant. In order to solve this problem, this study aims to find forecasting models using time series analysis including exponential smoothing and the Box-Jenkins methods. The most appropriate forecasting model was selected from the two methods by considering the minimum of the mean absolute percentage error: MAPE. It was found that the Box-Jenkins is the most appropriate method to forecast both ethanol production and consumption. The forecasting results were then used to determine appropriate quantity and proportion of molasses and tapioca needed for ethanol production in the future.
Reproducibility Study of “Counterfactual Generative Networks”

In this work, we study the reproducibility of the paper Counterfactual Generative Networks (CGN) by Sauer and Geiger 3 to verify their main claims, which state that (i) their proposed model can reliably generate high-quality counterfactual 4 images by disentangling the shape, texture and background of the image into independent mechanisms, (ii) each 5 independent mechanism has to be considered, and jointly optimizing all of them end-to-end is needed for high-quality 6 images, and (iii) despite being synthetic, these counterfactual images can improve out-of-distribution performance of 7 classifiers by making them invariant to spurious signals. 8
Panel data regression approach on Inclusive green growth

BACKGROUND AND OBJECTIVES: This study is investigated on endogenous variables inclusive of green growth by developing the concept of inclusive green growth in Indonesia. The objective of the current study was to describe the conditions of inclusive green development in each province in Indonesia, which is due to the unavailability of data describing the conditions of inclusive green development. METHODS: This study used time series data from 2011-2019, and cross section data of 34 provinces, which were analyzed using panel data regression research methods. The novelty of this study is the use of environmental quality variables to replace environmental degradation in calculating the composite variable of inclusive green growth. The determinants of inclusive green growth used in this study were inclusive human development, regional independence, infrastructure, crime, industrialization and natural disasters. FINDINGS: The important study findings were inclusive human development, regional financial performance, infrastructure and natural disasters have a significant positive effect on inclusive green growth in Indonesia. On the other hand, industrialization had a significant negative effect on inclusive green growth in Indonesia, while crime did not have a significant effect on inclusive green growth in Indonesia. Simultaneously, inclusive human development, regional independence, infrastructure, crime, industrialization and natural disasters had a significant impact on inclusive green growth in Indonesia. CONCLUSION: The second hypothesis in this study proved to be accepted. Meanwhile, the first hypothesis is not entirely accepted. Therefore, it is highly recommended for the provincial government in Indonesia to intervene on the variables of inclusive human development, regional financial performance, infrastructure, industrialization and natural disasters to increase inclusive green growth. Meanwhile, for future researchers, it is recommended to find other variables that contribute in achieving inclusive green growth.
The book Housing Older Persons: An International Perspective makes a significant contribution by raising the level of discourse beyond the context

RESUME Housing older people: An international perspective publiee en version augmentee faisant suite a sa parution dans le Ageing International Journal en 1997 constitue une source d'idees et de renseignements sur la question du logement, des besoins et de I'experience des aines dansplusieurspays. Le livre se compose d'un tour dTiorizon complet et de dix chapitres distincts traitant des pays developpes et en developpement, soit Singapour, Israel, Hong Kong, I'Australie, I'Inde, le Danemark, Taiwan, le Japon et lesPays-Bas. Redigepar Satya Brink, le compte rendu du livre fait ressortir les points importants, notamment les tendances mondiales du vieillissement de la population et de I'urbanisation, les transformations des normes sociales et culturelles, le role du gouvernement en matiere de logement des aines et la relation complexe entre le logement, la sante, la situation financiere et les besoins de soins. Les autres chapitres ont ete rediges par des autorites locales qui traitent de la situation de leur propre pays. Bien qu'il mette I'accent sur les pays eurasiens, le livre fournit une analyse representative importante de lapensee et de I'experience internationales dans le domaine. Son interet releve plus particulierement de I'analyse des nations en developpement, ce qui constitue un apport inusite a la documentation sur les aines.
Human Activity Recognition Based on 3D Residual Dense Networ k

Aiming at the problem that the existing human behavior recognition algorithm cannot fully utilize the multi-level spatio-temporal information of the network, a human behavior recognition algorithm based on a dense three-dimensional residual network is proposed. First, the proposed algorithm uses a dense block of three-dimensional residuals as the basic module of the network. The module extracts the hierarchical features of human behavior through densely connected convolutional layers; Secondly, the local feature aggregation adaptive method is used to learn the local dense features of human behavior; Then, the residual connection module is applied to promote the flow of feature information and reduced the difficulty of training; Finally, the multi-layer local feature extraction of the network is realized by cascading multiple three-dimensional residual dense blocks, and use the global feature aggregation adaptive method to learn the features of all network layers to realize human behavior recognition. A large number of experimental results on benchmark datasets KTH show that the recognition rate (top-l accuracy) of the proposed algorithm reaches 93.52%. Compared with the three-dimensional convolutional neural network (C3D) algorithm, it has improved by 3.93 percentage points. The proposed algorithm framework has good robustness and transfer learning ability, and can effectively handle a variety of video behavior recognition tasks.
Bridging Code-Text Representation Gap using Explanation

This paper studies Code-Text Representation (CTR) learning, aiming to learn general-purpose representations that support downstream code/text applications such as code search, ﬁnding code matching textual queries. However, state-of-the-arts do not focus on matching the gap between code/text modalities. In this paper, we complement this gap by providing an intermediate representation, and view it as “explanation. ” Our contribution is three fold: First, we propose four types of explanation utilization methods for CTR, and compare their eﬀectiveness. Second, we show that using explanation as the model input is desirable. Third, we conﬁrm that even automatically generated explanation can lead to a drastic performance gain. To the best of our knowledge, this is the ﬁrst work to deﬁne and categorize code explanation, for enhancing code understanding/representation.
Functional and structural impairment of small nerve fibers in patients suffering from hypermobile Ehlers Danlos Syndrome/Hypermobility Spectrum Disorder

Ehlers Danlos syndromes (EDS) are heritable connective tissue disorders. The hypermobile form (hEDS) is the most frequent, yet the only one without an identified genetic mutation. Patients suffering from symptomatic joint hypermobility, yet not fulfilling the hEDS criteria, enter the Hypermobility Spectrum Disorder (HSD) category. In addition to musculoskeletal pain affecting joints, hEDS/HSD patients often describe painful sensations, hypoesthesia, and autonomic symptoms suggesting a neuropathic component. Small fiber neuropathy (SFN) refers to the dysfunction or damage of A-{delta} and C-fibers, which relay thermal and nociceptive information as well as mediating autonomic function. SFN has been suggested by prior studies in hEDS but these early findings (case series N[≤]20) with sole reliance on intraepidermal nerve fiber density (IENFD) called for a larger sample combined with functional testing. In this retrospective chart extraction from 79 hEDS/HSD patients referred to a pain center due to neuropathic pain or dysautonomia, both functional (Quantitative Sensory Testing (QST), N=79) and structural (IENFD, N=69) evaluations of small nerve fibers were analyzed in combination with clinical data and standardized questionnaires. All the patients reported moderate to severe pain interfering with daily life. A decreased thermal detection (QST) was shown in 55/79 patients (70%) and a decreased IENFD in 54/69 patients (78%). Hence a small fiber neuropathy (both abnormal IENFD and QST) was definite in 40/69 patients (58%), possible in 23/69 patients (33%) and excluded in only 6/69 patients (9%). These results add strong evidence for a peripheral neuropathic contribution to pain symptoms in hEDS/HSD, in addition to the known nociceptive and central sensitization components. Such neuropathic contribution could raise the hypothesis of a neurological cause of hEDS, the only EDS syndrome still without a known genetic cause. Hence, our data is leading the way to a better stratification of this very heterogeneous population, which could improve symptom management and expand pathophysiological research.
Factors Associated with Food Insecurity among Pregnant Women in Gedeo Zone Public Hospitals, Southern Ethiopia

Background Food insecurity refers to a lack of consistent access to sufficient food for active, better health. Around two billion people worldwide suffer from food insecurity and hidden hunger. Food insecurity and associated factors among pregnant women in Gedeo Zone Public Hospitals, Southern Ethiopia, are the focus of this study. Method From May to June 2021 G.C. institutional-based cross-sectional study was conducted among pregnant women in Gedeo zone public hospitals. A sample of 506 women has been used, and a multistage cluster sampling technique was used. An adjusted odds ratio (AOR) and their 95% confidence intervals (CI) were calculated to determine the association between various factors and outcomes. A p-value of less than 0.05 was considered significant in multivariable regression. Results Food insecurity was found to be prevalent in 67.4% of pregnant mothers. The results of a multivariable logistic regression revealed that pregnant women from rural areas [AOR=0.532, 95% CI: 0.285, 0.994], married [AOR=0.232, 95% CI: 0.072, 0.750], have a secondary education [AOR=0.356, 95%CI: 0.154, 0.822], and be employed [AOR=0.453, 95% CI: 0.236, 0.872], income between 1000 and 2000 [AOR=0.163, 95% CI: 0.066, 0.399], and income greater than 2000 [AOR=0.125, 95% CI: 0.053,0.293], the wealth index middle and rich [AOR=0.441, 95% CI: 0.246, 0.793] were significant predictors of food insecurity among pregnant mothers [AOR=0.24, 95% CI: 0.128, 0.449]. Conclusion The study area had a high prevalence of food insecurity. Food insecurity was reduced in those who lived in rural areas, were married, had a secondary education, earned between 1000 and 2000 ETB and more than 2000 ETB, and had a wealth index of middle and rich.
AUTOMOTIVE ADAPTIVE EQUIPMENT AND VEHICLE MODIFICATIONS

Age is not intrinsically a disability, yet there are conditions correlated with or exacerbated by aging that can be addressed using appropriate assistive technology. This paper addresses disabilities associated with aging and the automotive adaptive equipment and vehicle modifications developed to compensate for these disabilities. Such equipment and modifications are always customized to an individual's disability.
A protein sequence-properties evaluation framework for crystallization screen design

The goal of the research was to develop a Protein-Specific Properties Evaluation (PSPE) framework that would aid in the statistical evaluation of variables for predicting ranges of and prior probability distributions for protein crystallization conditions. Development of such a framework is motivated by the rapid growth and evolution of the Protein Data Bank. Features of the framework that has been developed include (1) it is an instantiation of the "scientific method" for the framing and testing of hypotheses in an informatics setting, (2) the use of hidden variables, and (3) a negative result is still useful.The hidden variables examined in this study are related to the estimated net charge (Q) of the proteins under consideration. The Q is a function of the amino acid composition, the solution pH, and the assumed pKa values for the titratable amino acid residues. The protein's size clearly has a significant impact on the magnitude of the Q. Therefore, two additional variables were introduced to mitigate this effect, the specific charge (Qbar) and the average surface charge density (sigma). The principal observation is that proteins appear to crystallize at low values of Qbar and sigma. One problem with this observation is that "low" is a relative term and the frame of reference requires careful examination. The results are sufficiently weak that no prospective predictions appear possible although information of this type could be included with other weak predictors in a Bayesian predictor scheme. Additional work would be required to establish this; however that work is beyond the scope of the dissertation. Although many statistically significant correlations among Q-related quantities were noted, no evidence could be developed to suggest they were anything other than those expected from the additional information introduced with the hidden variables.Thus, the principal conclusions of this PSPE analysis are that (1) Qbar/sigma and other Q-related variables are of limited value as prospective predictors of ranges of values of crystallization conditions. Although this is a negative result, it is still useful in that it allows attention to be directed into more productive avenues.
Present Bias Causes and Then Dissipates Auto-Enrollment Savings Effects

Auto features in defined contribution pension plans, like auto-enrollment, have a large shortrun effect on participation and contribution rates (Madrian and Shea 2001). However, a growing literature finds that auto features may have only a modest average impact in the long run.1 In this paper, we show that if households have present bias,2 auto-enrollment is predicted to have a positive causal impact on savings in the defined contribution savings plan at the household’s current employer. However, with sufficient present bias, the positive effect on current/proximate savings will be partially or even fully dissipated before retirement. We provide a model that highlights two key channels that drive these opposing effects. First, present bias engenders procrastination, which leads households to stick with auto-enrollment defaults (Carroll et al 1997). However, present bias also engenders over-consumption. Separation from an employer generates a rollover of 401(k) balances to an IRA account. Rollover IRA accounts are more liquid than 401(k) accounts. Distributions from an IRA are allowed for any reason, can fully deplete the IRA, and are penalty-free for some categories of spending3 or if the beneficiary is over age 59 1 2 . Even when the standard 10% early withdrawal penalty does apply to an IRA distribution, households with suf-