Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of esomeprazole on lipid profile in patients with peptic ulcer

Esomeprazole; a newly introduced PPI has been widely prescribed by healthcare providers due to its improved pharmacokinetic profile. Most users could have other diseases and the PPIs are indicated as acid-suppressor to minimize gastric side effects of polypharmacy. A high percentage of users could suffer from cardiovascular diseases and lipid dysmetabolism. Hence, this study was designed to determine the impact of long-term use of esomeprazole on lipid profile in a normal subject other than having peptic ulcer for which esomeprazole has been indicated. Results confirmed that esomeprazole reduced triglyceride and HDL levels and elevated total cholesterol level and correspondingly LDL level was elevated, however, no effect was noticed with VLDL. To sum up, esomeprazole impaired lipid metabolism in apparently normal healthy individuals apart from having peptic ulcer for which the esomeprazole was indicated, this finding rise a caution during prescribing esomeprazole for the patient with multiple diseases and polypharmacy including cardiovascular ailments.
Willingness to Pay of Fishermen Insurance Using Logistic Regression Model

The high risk of losing fishermen’s life while at sea is not proportional to their low welfare conditions. Fishermen also cannot meet their daily needs when they are not fishing. Therefore, the guarantee of fishermen’s welfare is seen as a solution to this problem, which in the long run is expected to improve the welfare of fishermen. This study aims to analyze the factors that affect Willingness to Pay (WTP) in the fishermen welfare guarantee program. The case study in this research is the people in Ambulu Village, Losari District, Cirebon Regency, West Java, who work as fishermen. The factors analyzed in broad outline include: social factors in the fishermen community, professional factors as fishermen, and economic factors for the fishermen community, which as a whole include 20 independent variables. The analytical method used is a logistic regression model, where the parameter estimation is carried out using the Newton Raphson approach. The results of the analysis show that the factors which significantly influence the WTP in guaranteeing fishermen’s welfare are the level of fishermen’s education, membership of the local fishermen community, membership of fishermen in Ambulu Village, and knowledge of fisherman insurance. These four factors produce a logistic regression model that is used to predict the probability value of fishermen’s WTP. From this model, the lowest WTP probability value is 0.00029 and the highest is 0.96719. Based on the results of this study, it can be used as consideration for the parties involved in the development of a fishermen welfare guarantee program.
Xylaria sp.; The Candle Snuff Fungus from West Java

Candle snuff fungus belongs to Xylaria group. Generally, Xylaria has a form like stick or candle or elongated fruit of shapes. Xylaria is classified into Ascomycota within Xylariaceae. This study found one species of candle-shaped mushroom in IPB Unversity. This study aimed to identified and characterized the specimen using molecular and morphological data. The specimen was collected and preservedinto FAA solution and deposited into Herbarium Bogoriense as BO 24426. Molecular analyses using Large Subunit as a region for amplification showed that the BO 24426 was classified into Xylaria sp. This species closes to Xylaria consociata. The stromata were erected, unbranched, and tapered to the apex. The texture was rigid and hard. Ascus bore 8 ascospores. The ascospores were fusiform or bean-shaped and smooth. The morphological observations supported molecular identification of BO 24426 as Xylaria sp. Other genes were needed to ensure the exact species of Xylaria
Night Eating Syndrome and Its Association with Sleep Quality and Body Mass Index Among University Students During the Covid-19

Night eating syndrome (NES) is a disordered eating behaviour characterized by hyperphagia at night and is often accompanied by a sleep disturbance. This study aims to determine the prevalence of NES and its association between sleep quality and body mass index (BMI) among the private university students during the Covid-19. A total of 166 students from a private university participated in this cross-sectional study. Online self-administered questionnaires were used to collect and determine socio-demographic data, BMI, NES, and sleep quality. NES was assessed using Night Eating Diagnostic Questionnaire (NEDQ) while sleep quality was assessed using Pittsburgh Sleep Quality Index Questionnaire (PSQI). The results showed that 38.6% of the participants were engaging with NES, 45.2% were having poor sleep quality and 25.9% were overweight or obese during the Covid-19. There were significant associations between NES with sleep quality and BMI, which students with NES were found to have poorer sleep quality (r=0.306, p<0.001) and higher BMI (r=0.024, p=0.763). In addition, poor sleep quality was found to be positively associated with BMI (r=0.161, p=0.038). Males (AOR=2.198, 95% CI=1.005-4.808) and poor sleepers (AOR=1.176, 95% CI=1.028-1.346) were the risk factors of NES. In conclusion, the prevalence of NES, poor sleep quality, and overweight and obesity were at an alarming rate. NES was found to be related to both poorer sleep quality and higher BMI among the students. Therefore, interventions such as behavioural and cognitive therapy should be implemented to promote healthy eating behaviour among university students.
A Window to the Curriculum: Elementary Social Studies Curriculum in the Zenith of a Global Pandemic

The educational landscape was disturbed by the sudden spread of the COVID-19. Alterations of curriculum transaction were coming up face to face interaction with students were no longer possible so as to address the need of the students’ online classes were implemented while schools are closed. The social studies curriculum as a core subject in the basic education curriculum that leads to the development of civic competence among young learners was also abridged to fit for flexible learning while sustaining its learning standards. The implementation of the Most Essential Learning Competencies (MELCs) to guide for teachers served as the emergency curriculum for the school year during the brink of the pandemic. The social studies emergency curriculum featured condensed learning competencies, flexible learning time, and personalized learning experiences. However, with learning events happening inside learners' respective homes, learned knowledge and skills in social studies are ephemeral, and the authenticity of learner’s work is open for skepticism.
A SYSTEMATIC INVESTIGATION OF IMAGE PROCESSING ALGORITHMS

-The study surveys performance metrics, computational costs, posture invariant face recognition, neural networks, RGBD (red, green, blue, and depth) appearance models, element extraction approaches, and different pose and lighting issues. This study addresses the most current efforts to minimise disadvantages associated with changes in lighting on face-based pictures. This study addresses the boundaries as well as methods with high computational cot but good performance.
Precog-LTRC-IIITH at GermEval 2021: Ensembling Pre-Trained Language Models with Feature Engineering

We describe our participation in all the subtasks of the Germeval 2021 shared task on the identification of Toxic, Engaging, and Fact-Claiming Comments. Our system is an ensemble of state-of-the-art pre-trained models finetuned with carefully engineered features. We show that feature engineering and data augmentation can be helpful when the training data is sparse. We achieve an F1 score of 66.87, 68.93, and 73.91 in Toxic, Engaging, and Fact-Claiming comment identification subtasks.
Determinant of Satisfaction and Repurchase Intention on E- commerce: A Case Study of Housewife in Indonesia

The development of a digital-based economy creates potential opportunity upon e-commerce platform service provider. Moreover, in pandemic situation shopping online support the large-scale social restriction. There are many well-known e- commerce brands in Indonesia both domestic and international establishment. The competition is in the red ocean which comprising many competitors who have strong leadership strikes penetration of the market. Innovation towards strategy to make consumer kept staying must be very important especially on how to lead them to do repeat order. However, many firms still neglect this factors. Switching behavior from the individual’s attitude towards the other e-commerce brands become threat for the certain e-commerce brand’s loyal customer. Therefore, this particular research focus on house-wife who fit-matched with the research profile respondent where mostly the house-wife plays significant role on decision and purchase making in a family. This research has purposes to analyze the factors that might influence the satisfaction and repurchase intention in e-commerce platform. In addition to that, analyze the correlation of brand leadership perception towards satisfaction and repurchase intention. Lastly, identify the characteristic of house-wife by looking at repeat order intention upon the brand leader. Conclusive-descriptive-multiple cross sectional research model by using statistical approach of PLS-SEM was conducted in this research. 265 housewives were recruited as respondent by using online survey across Indonesia. Study found that perceived value and popularity are directly related positively and significantly affect satisfaction and repurchase intention. Future research is encouraged to use longitudinal design in providing a holistic understanding of perceived brandleadership
Corona Crisis and Excess Mortality of Firms: Monitoring Firm Bankruptcies and Formations in Switzerland

This paper presents unique time series on the frequency of bankruptcies and new formations of companies in Switzerland going back to the year 2006. We propose to assess the frequency of corporate bankruptcies over time using the concept of excess mortality. We find that the Corona Crisis has, for the time being, not been causing a wave of bankruptcies at the national level. At the cantonal level, only the canton of Valais recorded in the past months a bankruptcy frequency that was well above trend, although there was no significant excess mortality. At the sectoral level, the crisis had a stronger impact on the incidence of bankruptcies in the wholesale and retail trade industries than in the rest of the Swiss economy.
Importance of Time of Flight in Wind Speed Measurement

Ultrasonic Anemometer can be a reliable choice for providing the details about proper installations of wind turbines. Ultrasonic Anemometer working principle is the TOF (Time Of Flight). How exact the TOF is measured the Anemometer will give the right estimation of wind Speed. In this work, the TOF is measured keeping the necessity for the Anemometer application. However TOF have several application like distance measurement, biomedical imaging, Material characterization and etc. Introduction:Time taken to travel a ultrasonic sound wave from transmitter to receiver is called TOF and it keeps very important role in calculation of wind speed. For this purpose we have used two pairs of transceiver, one is transmitting and another is receiving at a time. Next time second one working as transmitter and first one as receiver. This can be shown with figure 1.3. Figure 1.3 TOF Overview. S1, S2, S3, S4, are four transceivers used here. d is the distance between the sensors, t12 and t21 are the TOF and V is the velocity of wind assumed here in the direction from S1 to S2.
Performance of Active Index Stock funds using the CAPM from 1997 to 2019

The aim was to evaluate the performance of active index stock mutual funds in the Brazilian market, over more than 21 years, based on the CAPM model, in order to highlight if there exist management skills to outperform the Ibovespa benchmark, controlling for the influence of survivorship bias in the generation of abnormal returns. The study used secondary data and a quantitative approach. The sample considered 588 active index stock funds from January 1997 to December 2019. The abnormal returns were calculated by regressing the funds’ monthly returns against the Ibovespa’ monthly returns, both in excess of the IDC rate. That is, using the regression equation of the CAPM model. The results revealed that the analyzed funds, in average and median values, had a positive significant performance. From the total sample, 64.6% of the funds showed a positive alpha, that is, a risk-adjusted performance superior to that of the Ibovespa in the analyzed period. It was also found that the survival bias factor, in the long run, had considerable influence on the performance results. The performance of the discontinued funds was, on average, significantly lower than that of the funds in operation. These results may support further research and decision making by investors who wish to understand the abnormal returns of these funds relative to the Ibovespa over the long term, and also to assist in the selection of funds aiming at superior returns to those provided by the benchmark index.
Improving Production Efficiency with a Digital Twin Based on Anomaly Detection

Industry 4.0, cyber-physical systems, and digital twins are generating ever more data. This opens new opportunities for companies, as they can monitor development and production processes, improve their products, and offer additional services. However, companies are often overwhelmed by Big Data, as they cannot handle its volume, velocity, and variety. Additionally, they mostly do not follow a strategy in the collection and usage of data, which leads to unexploited business potentials. This paper presents the implementation of a Digital Twin module in an industrial case study, applying a concept for guiding companies on their way from data to value. A standardized use case template and a procedure model support the companies in (1) formulating a value proposition, (2) analyzing the current process, and (3) conceptualizing a target process. The presented use case entails an anomaly detection algorithm based on Gaussian processes to detect defective products in real-time for the extrusion process of aluminum profiles. The module was initially tested in a relevant environment; however, full implementation is still missing. Therefore, technology readiness level 6 (TRL6) was reached. Furthermore, the effect of the target process on production efficiency is evaluated, leading to significant cost reduction, energy savings, and quality improvements.
Modeling glacial and fluvial landform evolution at large scales using a stream-power approach

Abstract. Modeling glacial landform evolution is more challenging than modeling fluvial landform evolution. While several numerical models of large-scale fluvial erosion are available, there are only a few models of glacial erosion, and their application over long time spans requires a high numerical effort. In this paper, a simple formulation of glacial erosion which is similar to the fluvial stream-power model is presented. The model reproduces the occurrence of overdeepenings, hanging valleys, and steps at confluences at least qualitatively. Beyond this, it allows for a seamless coupling to fluvial erosion and sediment transport. The recently published direct numerical scheme for fluvial erosion and sediment transport can be applied to the entire domain, where the numerical effort is only moderately higher than for a purely fluvial system. Simulations over several million years on lattices of several million nodes can be performed on standard PCs. An open-source implementation is freely available as a part of the landform evolution model OpenLEM.
The Effectiveness of Placental Drainage in the Active Management of the Third Stage against the Duration of Three Childbirths in the Independent Practice of Midwives in Banda Aceh City

BACKGROUND: The third stage of active management has become a standard practice in delivery management. Implementation of childbirth care requires accelerated release of the placenta to avoid bleeding. Placental drainage can shorten the duration of the three stages and reduce blood loss during labor. AIM: The aim of the study is to analyzing the effectiveness of placental drainage in the third stage active management of the third stage of delivery at the midwife’s independent practice (PMB) in the city of Banda Aceh. METHODS: This study used a Quasi Experiment design with a post-test control design. This research was carried out for 12 weeks at the PMB in Banda Aceh City, namely mothers who gave birth at the Erni Munir PMB and the Independent Practice Midwife Mutia Yacob. The sampling technique was purposive sampling. The sample in this study amounted to thirty mothers giving birth, divided into two groups, namely, the treatment group with placental drainage as many as 15 mothers and respondents with cord clamping as many as 15 mothers. With the inclusion criteria, the mother is willing to be a respondent, the vital signs of normal mothers, single and live fetuses, term pregnancy, and an interpretation of average fetal weight ≥ 2500 g. Data analysis used the MannWhitney test, with a confidence level of 95%. RESULTS: The results showed a difference in effectiveness between the placental drainage group and the umbilical cord clamping group, as evidenced by a statistical test with p = 0.001. The length of three stages required by mothers to give birth with placental drainage has a mean value of 4.47 min with a standard deviation of 0.516. The average length of time required by the mother to give birth with umbilical cord clamping is 5.40 min with a standard deviation value of 0.828. CONCLUSION: Placental drainage was more effective than umbilical cord clamping to shorten the third stage length in the Independent Practice of Midwives in Banda Aceh City.
Neo-Nationalism: A Tool for National Integrity

An ever-growing trend of radical rightist parties has brought newer dynamics to world politics. Neo-nationalism has further substantiated national integrity for changing the socio-cultural, economic and political landscape brought by globalization during the 1980s. The paper intends to analyze the concept of neo-nationalism. The paper explores this concept through an intensive study of the origin and background of neonationalism. In the paper, a study is conducted on the use of national integrity and patriotism to implement the concept of neo-nationalism in those countries. The major precautions in adopting the neo-nationalism concept are discussed in the project. A deep study is undertaken to investigate reasons that have led the world on a modern neo-nationalist order are discussed. Four peculiar reasons, in particular, the oil crisis, the collapse of the USSR and 9/11, financial and refugee crisis, and new nationalists focusing on national integrity have remained key contributors to the formation of the neo-nationalist society in the modern world. The paper studies all the reasons in depth and analyzes the key factors which might determine the new world order. The paper also uses two contemporary examples of Scotland and Western Europe to study the effects of neo-nationalism. A proper comprehensive study is done to recognize the concept of neo-nationalism and its effect on societies. The positive and negative effects are expanded to formulate a better cohesive study. Neo-nationalism is found to be a double-edged sword with monumental benefits and drawbacks. Its concept must be adopted with proper care and precaution so that major extremity groups wouldn’t be formulated.
Effect of Physico-Chemical Characteristics of Developed Mixed Fruits Wine during Fermentation Process

The mixture of fruits pulp containing low sugar and thus sugar level was adjust from 25 oBrix by using sugar solution. The pH level of mixture was adjusted at 4. The juice was yeast by Saccharomyces cerevisiae with 1%. The Specific gravity of mixed fruit wine showed an increasing trend for all the treatments with fermentation period up to 0, 10, 20 and 30 days. The TSS largely affects the various physic-chemical parameters of fermented wine. Sugar is the main substrate for fermentation of fruits juice into alcohol. The specific gravity of the wine was found to be decreased with increase in sugar percent. The highest value of alcohol content was found 17.43% (v/v) in T6 sample after last day of fermentation period with 1% of yeast concentration. It has been observed that the sample show the high alcoholic wine.
Ensembling as Approximate Bayesian Inference for Predictive Uncertainty Estimation in Deep Learning

We view ensembling as an approximate Bayesian inference method, justify why it should be a reasonable approximation for Deep Neural Networks and extensively compare it with other approximate methods in terms of predictive uncertainty estimation quality. We provide experimental results on illustrative toy problems and the real-world computer vision tasks of street-scene semantic segmentation and depth completion. This extended abstract describes preliminary results from ongoing work intended for NeurIPS 2019
Analysis of Different SMOTE based Algorithms on Imbalanced Datasets

- Imbalanced datasets pose a problem when we use them to make machine learning models, as oftentimes the machine learning algorithms give poor, inaccurate results on the minority class. Synthetic Minority Overlapping techniques (SMOTE) is a method to manage the problem of class imbalance in datasets, and it has become a very popular method. There are many SMOTE based algorithms. This paper seeks to compare 7 different SMOTE based algorithms on the basis of different parameters by applying it to different datasets to find out how each algorithm performs.
A problem-based approach to the advancement of heuristics for socio-technical evaluation

ABSTRACT With ubiquitous, mobile computing, health care systems, and smart factories, socio-technical phenomena continue to emerge that challenge traditional design and evaluation methods. We perceive such phenomena as the intertwinement of technical artifacts and social practices. Previous work shows that there is no sufficient method to evaluate the quality of this socio-technical intertwinement. Hence, our goal was to develop socio-technical heuristics, in short ST-heuristics, that can be applied by individuals to detect issues. Drawing inspiration from the success of usability heuristics in the field of human–computer interaction, we first applied a literature review to develop an initial set of ST-heuristics derived from six domains comprising groupware/computer-support cooperative work, job design, usability, socio-technical design principles, privacy, and process design. We then conducted two studies to evaluate and improve this set using empirical data from 13 cases from health care, industry, and engineering education fields. In total, we analysed 306 problems. The results substantiate a final set of eight ST-heuristics which allow for evaluating the socio-technical intertwinement in situ. We perceive the contribution of this work as a starting point for evaluators to uncover crucial issues and to improve current practice. We discuss the developed set of ST-heuristics within existing literature.