Miracle-dz/UniFAR-FTUs huggingface dataset:
Beta-3-adrenergic Receptor rs4994 Polymorphism Is a Potential Biomarker for the Development of Nonalcoholic Fatty Liver Disease in Overweight/Obese Individuals

Nonalcoholic fatty liver disease (NAFLD) is one of the most prevalent chronic liver diseases. Obesity is the most common and well-established risk factor for NAFLD, but there are large interindividual differences in the relationship between weight status and the development of NAFLD. Beta-3-adrenergic receptor (ADRB3) plays a key role in the development of visceral obesity and insulin resistance; however, the effect of ADRB3 polymorphisms on the risk of NAFLD remains unclear. We investigated whether or not a common rs4994 polymorphism (T190C) in the ADRB3 gene is associated with the risk of NAFLD through an increase in the body mass index (BMI) among the general population. We performed cross-sectional and longitudinal analyses in a total of 591 Japanese health screening program participants. Among the overweight or obese subjects, but not normal-weight subjects, individuals with the C/C genotype had a higher risk of developing NAFLD in comparison to those with other genotypes in the cross-sectional analysis (odds ratio: 4.40, 95% confidence interval (CI): 1.08–17.93). Meanwhile, the receiver operating characteristic curve indicated that the association between an increase in the BMI and the presence of NAFLD in subjects with the C/C genotype (area under the curve: 0.91, 95% CI: 0.78–1.00) was more pronounced in comparison to subjects with other genotypes. These above-described findings were verified by the analyses using a replicated data set consisting of 5,000 random samples from original data sets. Furthermore, among the 291 subjects for whom longitudinal medical information could be collected and who did not have NAFLD at baseline, the Cox proportional hazard model also confirmed that overweight or obese status and the C/C genotype were concertedly related to the increased risk of NAFLD development. These results suggest that genotyping the ADRB3 rs4994 polymorphism may provide useful information supporting the development of personalized BMI-based preventive measures against NAFLD.
Quantifying iceberg calving fluxes with underwater noise

Abstract. Accurate estimates of calving fluxes are essential in understanding small-scale glacier dynamics and quantifying the contribution of marine-terminating glaciers to both eustatic sea-level rise (SLR) and the freshwater budget of polar regions. Here we investigate the application of acoustical oceanography to measure calving flux using the underwater sounds of iceberg–water impact. A combination of time-lapse photography and passive acoustics is used to determine the relationship between the mass and impact noise of 169 icebergs generated by subaerial calving events from Hansbreen, Svalbard. The analysis includes three major factors affecting the observed noise: (1) time dependency of the thermohaline structure, (2) variability in the ocean depth along the waveguide and (3) reflection of impact noise from the glacier terminus. A correlation of 0.76 is found between the (log-transformed) kinetic energy of the falling iceberg and the corresponding measured acoustic energy corrected for these three factors. An error-in-variables linear regression is applied to estimate the coefficients of this relationship. Energy conversion coefficients for non-transformed variables are 8×10-7 and 0.92, respectively, for the multiplication factor and exponent of the power law. This simple model can be used to measure solid ice discharge from Hansbreen. Uncertainty in the estimate is a function of the number of calving events observed; 50 % uncertainty is expected for eight blocks dropping to 20 % and 10 %, respectively, for 40 and 135 calving events. It may be possible to lower these errors if the influence of different calving styles on the received noise spectra can be determined.
The Effect of Liquidity and Profitability to Dividend Policy with Asset Growth as Moderating Variable (Study on Property Sector, Real Estate and Building Construction Listed on Indonesia Stock Exchange)

Dividend Policy is the decision whether the profit earned by the company will be shared toward the shareholders as a dividend or will be held in the form of profit in order to be used to fund future investments. Investors prefer high dividends rather than low dividends because of its certainty. To minimize the uncertainty that might occur, investors need information taken from the company based on the company's performance from the financial report such as financial ratio analysis. This research is aimed to know the effect of liquidity and profitability toward the dividend policy and to know whether the asset growth can be used as moderation variable in the effect of liquidity and profitability toward the dividend policy. This research uses quantitative approach. The population used in this research is 63 companies in property, real estate, and building construction registered Indonesian Stock Exchange year 2014-2016. The sample used in this research is taken with purposive sampling technique, with a total of 14 companies. Analysis method used in this research is descriptive and inferential analysis, and data analysis used is Partial Least Square (SmartPLS3). The result showed that liquidity measured with CR and QR does not significantly influence dividend policy, and profitability measured with ROA and ROE does significantly and positively influence dividend policy. The asset growth measured with the total asset does not significantly influence dividend policy. The results suggest that asset growth does not significantly influence and enhance the effect of liquidity toward dividend policy. Whereas, the asset growth does not significantly influence and minimize the effect of profitability toward dividend policy. Keywords— Dividend Policy, Liquidity, Profitability, Asset
Does intrinsic motivation, physical work environment and discipline can enhance worker performance?

Human resources have an important role for the company, because human resources are a combination of knowledge, creativity and skills needed to move the company. An employee's performance is an important beginning for the company's performance. The purpose of this research are to to analyze how much the influence of intrinsic motivation, physical work environment and work discipline on employee performance on CV.BCD with 115 respondents. The type of data used in this study is primary data. Where primary data is data obtained directly from respondents. The results showed in partial testing intrinsic motivation, physical work environment and work discipline on employee performance. Between Intrinsic Motivation, Physical Work Environment and Work Discipline shows a positive and significant influence.
The relationship self-efficacy and some of demographic characteristics with leisure time physical activities of Iranian workers

In this research what we aim to study as LTPA , means activities such as exercise, sport, leisure activities or hobbies which are not related to regular activities job duties, housework and daily commuting , were examined within a week. This study is a survey with sample population of 384 workers from 15 provinces, including 102 females and 282 males who were classified in five age categories, assessing their health status, 30.4 percent of them in fair health, respectively. Data collection were conducted through a demographic questionnaire, participation in leisure-time physical activity and self-efficacy. In order to describe the data, descriptive statistics, chi-square test, Phi correlation and Univariate and multivariate regression analysis was applied (P <0.05). The findings of the study shows that there is a significant and meaningful association between age, gender, leisure time physical activity. Also gender was significantly associated with self-efficacy but age were not significant . The relationship between self-efficacy and external barriers with leisure time physical activity were significant but there was not significant relationship between internal barriers of self-efficacy and leisure time physical activity . The results showed that the less participating of woman in leisure-time physical activity Despite its benefits in increasing health awareness, suggest their undesirable lifestyle in this area. Obviously, continuation of programs Sports, promoting exercise and practicing it in the workplace can be an effective step towards achieving the abovementioned goals.
Pharaoh's Cage: Environmental Circumscription and Appropriability in Early State Development

What explains the origins and survival of the first states around five thousand years ago? In this research, we focus on the role of productivity shocks for early state development in a single region: ancient Egypt. We introduce a model of extractive state consolidation that predicts that political instability should be low whenever environmental circumscription is high, i.e., whenever there is a large gap between the productivity of the area under state control (core) and that of the surrounding areas (hinterland). In these periods the elite can impose high levels of taxation that the population will be forced to accept as exit is not an attractive option. In order to test this hypothesis, we develop novel proxies for historical productivities on the basis of high-resolution paleoclimate archives. Our empirical analysis then investigates the relationship between proxies of the productivity of the Nile banks and of the Egyptian hinterland on the one hand, and political outcomes such as ruler and dynastic tenure durations and the intensity of pyramid construction on the other, during 2685 - 750 BCE. Our results show that while both too high or too low Nile floods are associated with a greater degree of political instability, periods with a greater rainfall in the hinterland (and hence a lower degree of environmental circumscription) are associated with an immediate rise in military and pyramid construction activity but also with a delayed increase in political instability, since the decline in effective circumscription provides the farming population with an outside option in the hinterland.
The Difference of Educational Effectiveness Using Presentation Slide Method with Video About Prevention of Hypertension on Increasing Knowledge and Attitude in People with the Hypertension Risk in Amplas Health Center

BACKGROUND: The prevalence of prehypertension in the world reaches 20-25% with a figure that is still high in Indonesia (48.4%). The role of health promotion is substantial in an effort of prevention and treatment of hypertension. AIM: This study aims to determine the difference of effect between health promotion using media slides presentation and with video in increasing knowledge and attitude regarding the prevention of hypertension in patients at risk hypertension at Puskesmas Amplas. METHODS: his study uses a Quasi-Experimental design which from 48 samples that meet the criteria inclusion will be immediately given health promotion interventions with slides presentation and video. Respondents will be asked to fill out a questionnaire about knowledge and attitudes before and after the intervention. Data processing is done using the SPSS version 20 application. RESULTS: Distribution level of the knowledge of respondents before the intervention (Pretest) and after the intervention (Posttest) is (9.8, 2.68 vs 13.2, 1.58). Distribution of the pretest vs respondent’s attitude level. Post test is (29.7, 2.76 vs 33.2, 3.52). Based on the comparison of effectiveness between video and slide presentation, the significance value of knowledge was 0.072, and the significance value of attitude was 0.000. CONCLUSION: There was a significant difference in effectiveness between video with a slide presentation on improving attitudes towards hypertension prevention, and there were no significant differences in effectiveness between videos with slides presentation on increasing knowledge about prevention of hypertension.
Community-based incentive reward programs for juvenile offenders: Effective components for an ideal program

Community-Based Incentive Reward Programs for Juvenile Offenders: Effective Components for an Ideal Program Dominic C. Alvarez Under the Supervision of Dr. Amy Nemmetz Statement of the Problem According to the Office of Juvenile Justice and Delinquency Prevention (OJJDP), in 2015, law enforcement agencies in the U.S. made an estimated 921,600 arrests of persons under age 18 (2017). The Federal Bureau of Investigation’s Uniform Crime Reports estimate that the same population represented approximately 8.5% of total arrests in 2015 (2016). While this is a 56% decrease from arrests in 2006 (OJJDP, 2017), according to the Campaign for Juvenile Justice, concerns over juvenile crime have increased in recent years as many administrations face dramatic budget cuts, limited programs, and growing trepidation about juvenile offenders (as cited in Bontrager Ryon, Winokur Early, Hand, & Chapman, 2013, p. 359). Over the past decade evidence has emerged supporting community-based programs for juvenile delinquents that are equivalently effective, yet less costly (Andrews et al., 1990; Andrews & Bonta, 2006). Furthermore, a growing body of research indicates that the best way to advance positive behavior is to apply incentives for good behavior combined with sanctions for misbehavior (Center for Children’s Law and Policy [CCLP], 2016). However, many juvenile justice agencies have been hesitant to adopt the utilization of incentives to the same extent as sanctions. Nonetheless,
EFFECTS OF CROWDING AND LONELINESS ON LIVER FUNCTIONS IN ADULT MALE ALBINO RATS

Background: Crowding is one of the most popular stressors in experimental medicine since it could be regulated easily. Social isolation and lack of social support have deleterious effects on health. These are regarded as one of the most relevant causes of human diseases. Objective: Evaluation of the possible effects of either crowding and loneliness on liver functions in adult male albino rats. Material and methods: Fifty four adult local strain male albino rats were chosen as a model for the present work. They were divided into equal three groups;control group, crowded group and reduced space group. Animal behavior was observed, and blood samples were obtained for determination of blood glucose level, total cholesterol, triglycerides, low density lipoprotein (LDL), high density lipoprotein (HDL), alanine aminotransferase (ALT), aspartate aminotransferase (AST), total serum protein, serum albumin and globulin. Liver samples were obtained for histopathological study. Results: Crowding or loneliness led to different homeostatic changes including disturbed liver functions, glucose metabolism, lipid profile and altered behavior in addition to marked cellular changes on histopathological examination. Conclusion: Housing conditions affected behavioral and biological responses of animalsand could be considered risk factors for certain diseases as diabetes mellitus, dyslipidemia and liver injury. Further studies are required to demonstrate how chronic stress can exert a facilitative effect on inflammatory response and even increases the risk of developing pathological effects.
Modelling Soil Compaction Effects on Maize Growth and Yield in a Sandy Loam Soil

A mathematical model has been developed for the prediction of soil compaction effects on the growth and yield of maize crop in a sandy loam soil in tropical climates. The field work was done at the teaching and research farm of Rivers State University, Port Harcourt, Nigeria. A plot of land measuring 18 m x 4 m was divided into five sub-plots of equal dimensions and labelled as: plot 1 – un-compacted and untilled; plot 2 – un-compacted but tilled; and plots 3, 4 and 5 - tilled and compacted to varying degrees of tractor passes, viz 2, 4 and 6 tractor passes respectively. A Massey Ferguson (MF) 90 model disc plough was used for the tillage and an MF 260 model tractor used for the soil compaction treatments. Irrigation, weed and pest control were done equally on all plots when necessary. The maize crops were planted in the month of October and grew to maturity fourteen weeks thereafter. Field measurements gave values of soil bulk densities and moisture contents as 1.20, 1.17, 1.23, 1.28 and 1.35 g/cm 3 and 5.17, 6.02, 4.89, 4.43 and 3.39% respectively for plots 1-5. The height and yield of the maize crop at the fourteenth week for the plots 1-5 are respectively 0.941, 1.380, 0.872, 1.146 and 1.402 m and 1192, 2859,1195, 1311 and 2320 kg/ha. The model was development based on the response of the maize crop growth and yield to the different levels of compaction treatment, using dimensional analysis. The field results showed that at p<0.05, there is a statistically significant effect between soil compaction and growth and yield of maize in a tropical sandy loam soil and the model predictions correlated experimental data up to about 99.5%.
The Health Costs of Coal-Fired Power Plants in India

This paper estimates the effect of coal-fired power plants on infant mortality in India. We find that a one GW increase in coal-fired capacity corresponds to a 14% increase in infant mortality rates in districts near versus far from the plant site. This effect is 2-3 times larger than estimates from the developed world. Our effects are larger for: (1) older plants, (2) plants located in areas with higher baseline levels of pollution, and (3) plants burning domestic rather than imported coal. The environmental benefits from policy aimed at the power sector are thus likely to be substantially higher if targeted at older plants located in more polluted areas tailored to burn domestic rather than imported coal.
Quasi-Z-source Inverter with Coupled Inductor

A novel quasi-Z-source inverter with Coupled Inductor technique is proposed in this paper. The boost ability of the proposed topology is enhanced compared to classic Z-source/quasi-Z-source topologies. The proposed topology provides a common mode ground with dc source, continuous input current, reduced voltage and current stress on active and passive components. Better energy utilization and suppressed inrush current are achieved by employing coupled inductor cells. Analytical and simulation results are presented to explore the advantages of the proposed design.
Addis Ababa University Addis Ababa Institute of Technology Electrical and Computer Engineering Department Skin Lesion Segmentation Using Deep Learning Algorithm and Level Set Method By: Selomie Kindu

i Acknowledgement . ii Table of Figures . vi List of Tables . viii List of Acronyms . ix Chapter One Introduction . 1 1.1 Motivation . 1 1.2 Problem Statement . 2 1.3 Research Questions . 3 1.4 Objective . 3 1.4. 1 General Objective . 3 1.4. 2 Specific Objective . 3 1.5 Methodology . 4 1.5. 1 Design and Implementation Tools . 4 1.6 Significance of Study . 5 1.7 Thesis Organization . 6 Chapter Two Skin Lesion and Computer Aided Diagnosis . 7 2.1 Medical Background of Skin . 7 2.1.1 Epidermis.7 2.1.2 Dermis . 8 2.1.3 Hypodermis . 8 2.2 Skin Lesion . 9 2.3 Clinical Diagnosis Methods of Skin Lesion . 11 2.4 Computer Aided Diagnosis . 12
CLEP_A_204322 429..441

Ka Man Lai Ta-Liang Chen Chuen-Chau Chang Hsi-Hsien Chen Yuan-Wen Lee 1Department of Anesthesiology, Taipei Medical University Hospital, Taipei, Taiwan; 2Department of Anesthesiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; 3Department of Anesthesiology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan; 4Division of Nephrology, Department of Internal Medicine, Taipei Medical University Hospital, Taipei, Taiwan; 5Division of Nephrology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan Background: Pain is one of the most common symptoms experienced by patients with endstage renal disease. Although NSAIDs may lead to adverse events, NSAID use appears to be considerably high in patients with end-stage renal disease. However, whether NSAID use is associated with an increased risk of mortality in this population remains unknown. Aim: This study aimed to investigate the association between the use of NSAIDs and the risk of mortality in patients with end-stage renal disease. Patients and methods: We used the population-based Taiwan National Health Insurance Research Database to investigate the association between the use of NSAIDs and the risk of mortality in patients with end-stage renal disease receiving dialysis. A total of 3,383 patients with newly diagnosed end-stage renal disease requiring long-term dialysis between 1998 and 2012 were included in the current study, and the study outcome was evaluated until December 31, 2013. Time-dependent Cox regression models were applied to examine the association between NSAID use and mortality risk. Results: In the study cohort, 2,623 (78%) patients used NSAIDs during the follow-up period. The median follow-up period was 4.0 years, during which 1,515 patients died. The results of multivariable analysis demonstrated that compared with NSAID nonuse, the use of any NSAIDs, nonselective NSAIDs, and selective cyclooxygenase-2 inhibitors was associated with a significantly increased risk of all-cause mortality with an adjusted HR (95% CI) of 1.39 (1.21–1.60), 1.36 (1.19–1.55), and 1.61 (1.42–1.83), respectively. Conclusion: The results suggest that NSAID use was associated with an increased risk of mortality in the patients with end-stage renal disease. Future randomized controlled trials are needed to validate these observational findings.
Twitter Rumour Detection using Temporal Property of Tweets

There are mainly two type of rumours on social media, it can be disinformation or misinformation. While disinformation is intentional and spread to divert people from truth, misinformation is unintentional news which turns out to be false. Either ways, it causes panic and needs to be identified as quickly as possible to avoid further chaos. This research paper presents a method for detecting rumour in the first hour the tweet was posted. The social media platform used for this project is twitter due to its popularity. This research is implemented on 7 events which have different propagation patterns. The feature used for this project is timestamp of the tweets and its reactions. The models implemented include Gaussian Naive Bayes, Support Vector Machine, Random Forest, Classification and Regression Trees, K Nearest Neighbours and Deep Learning. All these models are implemented to study how they perform for different propagation patterns. Overall, it can be seen that most of the models work best with events that have well defined pattern and work poor iffthe events have less samples or do not have defined patterns. The highest accuracy recorded of 78% was for Charlie Hebdo event for both CART and SVM models. The lowest accuracy of 19% was for Gurlitt event after implementing Deep Learning Model.