Miracle-dz/UniFAR-FTUs huggingface dataset:
Physiology and yield of piel de sapo melon (Cucumis melo L.) under water deficit in semi-arid region, Brazil

Melon (Cucumis melo L.) is a crop of great socioeconomic importance in regions with semiarid climate, as found in Northeast Brazil. In this region water deficit is a usual condition as well as the main reduction factor of plant productivity. Due to this phenomenon, irrigation techniques are used to make available the amount of water needed for plant production. Therefore, this study evaluated the physiology and fruit production changes of ‘Juazeiro’ Piel de sapo melon plants under different water replacement rates. ‘Juazeiro’ melon was grown under four reference evapotranspiration replacement rates (40, 60, 80 and 100% of ETo) distributed randomly in blocks with 5 replicates. The plants were cultivated in the field, in an experimental area located in the Brazilian Northeast region, under hot and dry semiarid climatic conditions, and during the growing cycle the ‘Juazeiro’ hybrid melon plants were evaluated for leaf area, biomass accumulation, gas exchange, photochemical efficiency of photosystem PSII and production of fruits per plant. Application of water replacement rates of 100% ETo leads to highest growth, net photosynthesis, and fruit yield of 'Juazeiro' melon. Water replacement at 80% ETo can be used for ‘Juazeiro” melon under semiarid climatic conditions, but with small losses in fruit yield. Water replacement below 80% ETo leads to drastic reductions in growth, gas exchanges, quantum efficiency of photosystem II and fruit yield, which impairs melon production in semi-arid climate environments.
“Cardiac Troponin I Level in STEMI and Clinical Correlation with Left Ventricular Dysfunction in Bangladeshi Population”

Original Research Article Background: Coronary Heart Disease (CHD) is the most common category of the heart disease and is found to be the single most important cause that leads to premature death in the developed world. Recognizing a patient with ACS is important because the diagnosis triggers both triage and management. cTnI is 100% tissue-specific for the myocardium and it has shown itself as a very sensitive and specific marker for AMI. Objective: To determine the relationship of serum troponin I after first acute myocardial infarction with left ventricular ejection fraction as assessed by echocardiography. Methods: A total of 40 patients of acute myocardial infarction were included in the study. Troponin I concentration was measured by ELISA method and echocardiographic ejection fraction was calculated by modified Simpson’s rule. Echocardiographic ejection fraction was compared with serum troponin I concentration. Patients with previous myocardial infarction were excluded. Results: There was strong negative correlation between troponin I concentration and left ventricular ejection fraction with an increasing troponin level, there was a fall in ejection fraction. The Pearson’s correlation coefficient was –0.69, which was statistically significant (p<0.0001). In our study, we observed that patients with ejection fraction >50%, though small in number were having cTnI levels at 24 hrs ≤ 8 ng/ml. Patients with ejection fraction <50% (left ventricular systolic dysfunction) were having cTnI levels at 24 hrs ≥ 17 ng/ml. Therefore a presumptive cut off level of cTnI ≤ 8 ng/ml may be taken to consider normal left ventricular systolic function in STEMI. The normal range of Troponin I in apparently health individual without STEMI was observed to be <1.0 ng/ml. The mild increase in Troponin I at 24 hrs of STEMI with preserved EF >50% may be due to peak value of biomarker achieved at 24-36 hrs after myocardial injury as most of troponin I are attached to myofibrils. Conclusion: Serum troponin I concentration has a strong negative correlation with left ventricular ejection fraction after first acute myocardial infarction, and hence can be used to assess the LVEF in patients with first myocardial infarction. An observation was made that a cut off level of cTnI ≤ 8 ng/ml was associated with normal left ventricular systolic function.
The Role of Dopamine in Decision Making Processes in Drosophila Melanogaster

Understanding the neural processes that mediate decision making is a relatively new field of investigation in the scientific community. With the ultimate goal of understanding how humans decide between one path and another, simpler models such as Drosophila Melanogaster, the common fruit fly, are often utilized as a way of determining the neural circuits involved in these decision-making processes. One of the most important decisions flies make is the decision of where to lay their eggs (oviposit). Choosing the proper substrate upon which to lay eggs is a crucial decision that can ultimately impact their fecundity. This paper investigates the field of decision-making neuroscience research previously conducted in order to provide background information and point out the void that my research is attempting to fill. In conducting research, I first began by collecting data on the number of eggs laid by wildtype flies on each substrate type (sucrose, yeast, combination, or plain) within the 20 chamber two-choice preference assay. Following this, the same procedure was conducted using dopamine knockout flies created by crossing KIR2.1 genetically encoded flies with specific dopamine output neurons which inhibited their function. Our lab found that wildtype flies prefer yeast and avoid sucrose. They also tend to choose a plain substrate in Plain vs. Sucrose-Yeast. Though the genetically altered flies also prefer plain, a significant decrease in preference was observed in four of the mushroom body output neuron lines (057B, 027C, 542B, 543B) indicating that these lines may play a more significant role in determining this preference for Plain over Sucrose-yeast. These neurons that mediate crucial decisions for fruit flies can hopefully one day be correlated to the dopamine neurons in the human brain that help us make simple, everyday decisions and even life-changing decisions such as where to settle down someday and lay our own eggs.
CEBI WORKING PAPER SERIES

This paper presents trends in parental wealth homogamy across union cohorts formed between 1987 and 2013 in Denmark. Using high-quality register data on the wealth of parents during the year of partnering through cohabitation or marriage, we show that the correlation between partners’ levels of parental wealth is considerably lower compared to estimates from earlier research on other contexts. Nonetheless, parental wealth homogamy is high at the very top of the parental wealth distribution, and individuals from wealthy families are relatively unlikely to partner individuals from families with low wealth. Even though conclusions regarding trends in parental wealth homogamy depend on methodological choices made, most specifications indicate an increase in homogamy in the 2000s as compared to the 1990s. This raises concerns about the consequences of changes in partnering behavior for wealth inequality between households and social boundaries between groups based on parental wealth and particularly between the wealthiest individuals in society and the rest of the population.
Effect of Sugar Beet Pectin on Oil Uptake in Fried Banana and its Acceptability

Available online 30 June 2019 Fried banana is one of the popular local snacks in Malaysia. However, tremendous interest in healthy food has risen among consumers and producers resulting in a rising demand for low-fat foods. Thus, oil uptake needs to be considered during frying since it also affects the flavour, odour and general organoleptic properties of the food. The main objective of this study is to determine the effect of different concentrations of sugar beet pectin in the frying batter of fried banana and introduce the new usage of sugar beet pectin as one of the ingredients in the frying batter. Three different formulations of frying batter were prepared using 1%, 1.5% and 2% of sugar beet pectin (SBP) together with other ingredients including rice flour, water, plain flour, baking powder and salt. The addition of sugar beet pectin improved the characteristic of the batter as well as the fried banana crust. The moisture content of the crust increased about 7.6% when 1.5% SBP (F2) was used in the formulation thereby reducing the oil absorption by 8.5%. The crust crispiness also increased by 16.7% when 1.5% SBP (F2) was added to the frying batter formulation. Batter pick-up value was found highest in F1 (1% SBP) with 8.84% increment as compared to batter with no added hydrocolloids. Addition of SBP in batter formulations significantly increased the batter pick-up value. In terms of acceptability, F1 (1% SBP) was the most preferred by the panellist which was due to the appearance and colour of the fried bananas. All formulations obtained attributes scores higher than six thus were accepted by the panellists.
GIANT GENITAL SEBORRHEIC KERATOSIS: A CASE REPORT AND REVIEW OF THE LITERATURE

Seborrheic keratosis (SK) of the skin is a quite common lesion characterized by epithelial proliferation. However, its occurrence in genitalia can grossly be mistaken for genital warts and can only be confirmed on histology. We, hereby report the case of a 44-year-old gentleman who presented with large polypoidal growth in the pubic region. Histopathology confirmed it to be giant genital SK.
Journalists’ views on innovating in the newsroom: Proposing a model of the diffusion of innovations in media outlets

1 This paper explores how innovation emerges in the media through the views of journalists who are leading the process of newsroom change in Spain. Data were collected from semi-structured interviews with 20 journalists working in some of the most innovative outlets, according to the 2014 Index of Journalism Innovation in Spain (García-Avilés, Carvajal-Prieto, de Lara-González, & Arias-Robles, 2016). The results highlight the importance of innovations in content production, internal organization, distribution, and commercialization as the drivers of change in the media industry. Our study also reveals several factors that shape both the practice and implementation of innovations in newsrooms. We draw on these factors to outline a model of diffusion of media innovation.
Adlay Seed (Coix lacryma-jobi L.) Extracts Exhibit a Prophylactic Effect on Diet-Induced Metabolic Dysfunction and Nonalcoholic Fatty Liver Disease in Mice

Nonalcoholic fatty liver disease (NAFLD) is common worldwide and closely associated with metabolic dysfunction. NAFLD leads to a higher risk of development of severe liver diseases, such as nonalcoholic steatohepatitis (NASH), liver cirrhosis, and hepatocellular carcinoma (HCC). To date, no pharmacotherapy targeting NAFLD has received general approval. Adlay is a plant that has been used as traditional herbal medicine in Asia and is a promising candidate to solve this global issue. We have established a mouse model of NAFLD by feeding a high-fat diet (HFD) for 10 weeks. Here, ethanolic or water extracts of adlay seed (ASE and ASW, respectively), mixed with HFD, were fed to the mice for 10 weeks. The ASE and ASW treatment ameliorated hyperglycemia and improved the glucose tolerance and insulin resistance in the HFD mice. Hyperlipidemia in HFD mice was prevented by the ASE and ASW diet. In addition, the ASE and ASW supplementation attenuated hepatic steatosis and inflammation, improved liver function, and caused no harm to the kidneys. Moreover, the mechanism of the effect of ASE and ASW on inhibiting hepatic lipogenesis and inducing fatty acid β-oxidation was certified by the simulated human fatty liver cell model. Our study showed the regulatory potential of the extracts of adlay seeds for alleviating NAFLD, as well as related liver and metabolic diseases.
Nitrogen management in maize in no-till system in succession to winter cover crops at two locations: II - effect on grain yield

Engenheiro Agronomo, MSc. , Doutorando do Curso de Pos-graduacao em Fitotecnia, Faculdade de Agronomia da Universidade Fede-ral do Rio Grande do Sul (UFRGS). Bolsista do CNPq. Av. Bento Goncalves, 7712, CP 776, 91540-000, Porto Alegre, RS. E-mail:argentag@vortex.ufrgs. br. Autor para correspondencia.
Comparative Study of Post-Marriage Nationality Of Women in Legal Systems of Different Countries

The objectives of this study are to: 1) examine the effect of brand image on purchase intention, 2) examine the effect of brand trust on purchase intention, 3) examine the effect of economic benefits on purchase intention, 4) examine the effect of brand attitude on purchase intention. This is an exploratory research in which the aim is to obtain information, insights, knowledge, ideas, opinions, and understandings in an effort to satisfy and define the problem and formulate a hypothesis. In this study, the population we took was iPhone users in East Java, of which approximately 200 people were involved as research samples. The sampling applied incidental sampling technique. The results of the study are that: 1) individual brand image has an insignificant positive effect on iPhone purchase intention and the significance is 0.487, 2) individual brand trust has an insignificant positive effect on iPhone purchase intention and the significance is 0.078, 3) individual economic benefits have a significant positive effect on iPhone purchase intention and the significance is 0.000, 4) individual brand attitude has a significant positive effect on iPhone purchase intention and the significance is 0.001.
A Study to Assess the Effectiveness of Buerger Allen Exercise on Foot Perfusion among Patients with Diabetes Mellitus Admitted in Selected Hospital of Ambala, Haryana

Diabetes Mellitus (DM) is a metabolic disorder which is characterized with increased glucose level in the blood, resulting from defect in the insulin secretion, insulin action, or both. In advance stage of the disease, foot perfusion of patients is decreased. It can be assessed by Ankle Brachial Index (ABI) score and Capillary Refill Time (CRT). Buerger Allen Exercise is an effective intervention for improving the foot perfusion of diabetes mellitus patients. The objective is to assess the effectiveness of Buerger Allen Exercise on foot perfusion among patients with diabetes mellitus. Sixty patients were selected by convenience sampling technique and randomized into two groups experimental (n=30) and control (n=30) by computer generated code method. The study findings revealed that the post intervention mean ABI score in experimental group (Right Mean=0.95, Left Mean=0.94) was significantly higher than control group (Right Mean=0.86, Left Mean=0.85) (p=0.001***). The post intervention CRT was lower in experimental group than control group (p=0.001***) respectively. The use of Buerger Allen Exercise is effective in improving the foot perfusion in terms of ABI score, reducing the capillary refill time. Therefore, it is recommended that ‘Buerger Allen Exercise’ can be used to improve the foot perfusion of diabetes mellitus patients.
Automating the Fugl-Meyer Assessment with Supervised Machine Learning

치료 후 반신불수인 뇌졸증 환자의 호전을 평가하는 것은 재활에 있어서 중요한 사항이다. 이것은 또한 임상 실험 동안 수행하는 필수적인 단계이다. Fugl-Meyer Assessment (FMA)는 뇌졸증 환자들의 신체기능 장애를 측정하는 방법들 중 가장 널리 알려졌을 뿐만 아니라 널리 이용 되는 방법이다. 우리는 환자의 동작을 관찰하는 센서로부터 데이터를 모음으로써 팔 부분의 FMA 를 자동화하는 방법을 제안한다. 특징들은 데이터로부터 추출되고 기계학습 알고리즘에 의해 처리된다. 기계학습 알고리즘으로부터 얻은 출력은 환자의 위쪽 팔의 기능을 수치화하는데 사용되는 값을 반환한다. 우리 시스템에서는 Support Vector Machines(SVM)과 Backpropagation Neural Networks (BNN) 이라는 기계학습 알고리즘을 사용한다. 이 시스템은 저렴하고 자동화된 뇌졸증 환자 평가를 하도록 도와 줄 것이다. 게다가 뇌졸중 연구원과 의사들에게 시간을 줄여주는 서비스를 제공하여 의사가 환자당 30 분을 절약 할 수 있을 것이다. ⓒ 2015 DGIST
Antimicrobial and Antibiofilm Activities of the Methanol Extracts of Rosa Damascena against S. aureus

Objectives: The aims of this study are to investigate antibacterial and antibiofilm activity of Rosa damascena (R.damascena) flower extract against Staphylococcus aureus (S. aureus). Method: The antibacterial activity was assessed with minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC). The potential of R.damascena flower extract as an antibiofilm agent was evaluated using biofilm inhibition assay and biofilm eradication assay. Chlorhexidine (CHX) 0.12% was used as a positive control. The experiment was performed in triplicate and repeated four times independently. All the data obtained were analysed using SPSS version 23. A Kruskal-Wallis test followed by post-hoc Mann-Whitney U test and level of significance was set at P < 0.05. Results: From this study, R.damascena extract shows antibacterial activity with MIC 50 mg/ml and MBC 100 mg/ml. Treatment with 0.5 MIC of extract inhibited 43.2% of biofilm formation. The biofilm eradication assay shows that 60.9% (p<0.001) of biofilm was eradicated by the extract upon 5 minutes treatment and 50.65% by 0.12% CHX. Conclusion: The result of this in-vitro study suggests a possible utilisation of R.damascena flower extract in treating S. aureus biofilm-associated infection in the oral environment.
Influence of Surface Pitting and Friction Coefficient on the Static Transmission Error in Spur Gears

This research studies the performance characteristic, Static Transmission Error (STE), of a spur gear pair rotating under friction with and without damage in the form of a pit on gear teeth. Using a profilometer scan of a pit from an aerospace test gear, a damage shape in the form of parabolic profile pit is simulated on the surface of tooth of spur gear at seven different locations having three different sizes of the damage profile depth. Using the measured pit depth from profilometry, two additional pit depths were simulated by multiplying the initial profile depth by 5, and then by 10, for a total of three different profile depths having the same pit width. Similarly, six different coefficients of friction starting from zero to a maximum of 0.30 in the intervals of 0.06 were investigated. The combination of seven different locations of pits, six friction coefficients, and four pit depths resulted in a total of 168 unique combinations. Analyses were completed and multiple outputs responses including the STE were recorded, but only STE results are presented in this paper. Results show that STE variation increases with increase in friction coefficient and the size of damage.
Cache Affinity-aware In-memory Caching Management for Hadoop

In this paper, we investigate techniques to effectively manage HDFS in-memory caching for Hadoop. We first revisit the current implementation of Hadoop with HDFS in-memory caching to understand its limitation on the effective usage of in-memory caching. For various representative MapReduce applications, we also evaluate a degree of benefit each application can get from in-memory caching, i.e. cache affinity. We then propose an adaptive cache local scheduling algorithm that adaptively computes how long a MapReduce job waits to be scheduled on a cache local node to be proportional to the percentage of cached input data for the job. In addition, we propose a block goodness aware cache replacement algorithm that determines which block is cached and evicted based on the accessed rate and the cache affinity of applications. Using various workloads consisting of multiple MapReduce applications, we conduct extensive experimental study to demonstrate the effects of the proposed in-memory orchestration techniques. Our experimental results show that our enhanced Hadoop in-memory caching scheme improves the performance of the MapReduce workloads.
Using Machine Learning to Collect Vaccine Misinformation on Twitter

Since the 2015 Disneyland measles outbreak, similar outbreaks have continued to affect other parts of the United States. In 2019 alone, more than 1000 cases have been confirmed in 28 states, which is the greatest number reported since measles was declared eliminated 19 years ago [1]. The majority of the cases in these outbreaks were either under or unvaccinated, mostly due to parents’ or own personal beliefs [2-4]. The most salient example of such beliefs is that the MMR (measles-mumps-rubella) vaccine causes autism. Despite being long-debunked [5], the myth still perpetuates the Internet and social media today. The prevalence of misinformation and the increasing reliance on the Internet and social media as a source of health information arguably play a crucial role in exacerbating the growing vaccine hesitancy in the U.S. and around the world. For one thing, the web 2.0 featuring usergenerated contents makes the Internet an extremely efficient channel to disseminate antivaccine misinformation [6]. For another, algorithms employed by social media platforms to promote user-preferred contents on top of self-selected echo chambers may further strengthen the effect of misinformation [7,8]. To combat vaccine misinformation in today’s digital world, policymakers and other stakeholders need a more complete picture of the production, dissemination, and consumption of misinformation on social media, which, however, cannot be achieved without an efficient and effective data collection mechanism. Traditional ways of data collection such as surveys and focus groups mainly elicit information from the demand side but do not directly observe what is being supplied on the social networks. While recent studies have increasingly used scalable methods such as machine learning to tackle the overwhelming amount of contents on social media, there has not been a study that focuses on vaccine-related misinformation. This study explores the feasibility of using supervised learning algorithms to identify vaccine misinformation on Twitter.
IMPROVING TIME-TO-FAILURE PREDICTIONS FOR WATER DISTRIBUTION SYSTEMS USING GRADIENT BOOSTING ALGORITHM

This paper advances the research on pipe failure modeling by applying a state-of-the-art gradient boosting machine learning algorithm (xgboost) to a large ductile iron pipe failure dataset. The model was designed to predict the time to next failure for individual ductile iron pipes. The overall root-mean-square error for the xgboost model was 5.81, a 1.2% improvement over the Random Forest model and 25.9 % improvement over the Artificial Neural Network model. The results from this analysis suggests that industry should consider adopting the xgboost algorithm when building machine learning models that predict time to pipe failure.
OLDER ADULTS’ QOL: PSYCHOLOGICAL DETERMINANTS

Despite previous evidence showing a positive relationship between emotional intelligence (EI) and quality of life (QoL), associating older adults’ emotional processing with several health indicators, few studies have explored both the IE and the mechanisms through which they affect QoL. This cross-sectional study analyzes themediator role of optimistic and pessimistic cognitive styles in the relationship between perceived EI (PEI) and QoL in 115 institutionalized older adults from Southern Spain. Regression analyses showed, after controlling for cognitive style, that PEI predicted a significant percentage of variance in: Health (β = .25, p < .01), Functional abilities (β = .20, p < .05), Activity and leisure (β =.17, p<.05) and Life satisfaction (β =.21, p<.05). Additionally, multiplemediation analysis revealed that cognitive style partially mediated the relationship between PEI and Health, Activity and leisure and Life satisfaction. Thus, PEI could promote personal but not external or environmental QoL aspects, highlighting the importance of developing emotional skills for healthy aging.