nils-herrmann/clean_scirepeval huggingface dataset:
Association of social participation, perception of neighborhood social cohesion, and social media use with happiness: Evidence of trade off (JCOP 20 277)
Venue: Journal of community psychology
Year: 2020

Social participation and neighborhood social cohesion are positively associated with health and wellbeing. Given that in person social interactions have generally dwindled over the past several decades at least in Western countries and social media use has become more common, in this study, we examined whether and how social media use interacts with social participation and neighborhood social cohesion in influencing happiness. Data were gathered from a representative sample of adults in Massachusetts, USA. General linear model was used to estimate the main and interaction effects of social participation, perception of neighborhood social cohesion and social media use on happiness, controlling for sociodemographics, marital status, employment, and self rated health. Results indicated that both social participation and perception of neighborhood social cohesion were positively associated with happiness whereas social media use was not. However, there was a significant interaction effect of social media use and perception of neighborhood social cohesion on happiness. Compared with people with a high perception of neighborhood social cohesion, those with low perception were more likely to be happy as their social media use increased, suggesting that social media use may be helpful to promote happiness among people who perceive their neighborhoods as less supportive, trustworthy, and close knit.
THE INFLUENCE OF THE EXECUTIVE CHARACTERISTICS AND AUDIT COMMITTEE ON TAX AVOIDANCE
Year: 2019

The Influence of The Executive Characteristics and Audit Committee on Tax Avoidance. This research aims to examine the effect of executive characteristics on tax avoidance, to examine the effect of audit committees on tax avoidance and to examine the characteristics of executives and audit committees on tax avoidance. Manufacturing companies listed on the Indonesia Stock Exchange from 2013 to 2017 were used as samples in this research. The data is processed using multiple regression tests using quantitative methods, where the researchers collect the data about the facts and the nature of the object that being studied systematically by combining the relationships between the variables involved in it and measured in quantity or amount. The results showed that the characteristics of the executive and audit committee had an impact on tax avoidance that is equal to 44.8% While the remaining 55.2% there were other factors that affect tax avoidance. This research shows that the higher the number of executives who have characteristics of risk takers, then it will increase tax avoidance that is done by the management and vice versa. On the other hand, this study found that the higher the number of audit committees, the lower the tax avoidance carried out by management and vice versa. This research give highlight about tax avoidance practices by management and factors may be affected to tax avoidance.
Heart Disease Prediction using Machine Learning and Data Mining
Year: 2020

Weighing only 300 grams, Heart is declining the mortality rate at a rapid pace from decades. The major factors that contribute to it are smoking, drinking, unbalanced diet, and many more. Even with these more technical advancements the analysis of the clinical data is a critical challenge. With the use of Machine Learning techniques, it is possible to analyse the data and interpret the cause that lead to heart diseases such as Coronary Heart Disease, Arrhythmia, and Dilated Cardiomyopathy. Many researchers are developing IoT enabled hardware to predict these diseases using various ML and DM techniques. In this study, we propose a novel method to determine the disease using Cleveland Heart Disease Dataset by combining the computational power of various ML and DM algorithms and concluded that among all the algorithms, K Nearest Neighbors gives the highest accuracy of 87% Along with this, a web app is developed using flask in python with which the user can enter the attributes and predict the heart disease.
The effect of climate on Burgundy vintage quality rankings
Venue: OENO One
Year: 2019

Based on consensus rankings from prominent rating authorities, we examined the importance of a suite of climatic variables, organized by winegrape phenological stage, in distinguishing between high and low ranked vintages in Burgundy. Vintage ratings of Burgundy wines acquired from 12 sources were evaluated to develop consensus rankings for red and white wines from 1961 2015. Climate variables (air temperature, precipitation, degree day accumulations, etc. were organized by mean phenological stage and compared between good and poor vintages using Mann Whitney U tests and multivariate stepwise discriminant function analysis. High temperatures, particularly during the growing season, were found to be the most consistently important climatic factor in distinguishing good quality vintages from poor quality vintages. The best red vintages had a greater diurnal temperature range during the growing season, whereas the top white vintages were not distinguished by unusually warm conditions, but the bottom ranked white vintages were particularly cool and wet. The impact of rainfall varied across the growing season, with top ranked Burgundy wines benefitting from rainfall during the bud break period and dry conditions during the ripening phase. The most important climatic factor in distinguishing between top and bottom ranked vintages is growing season temperature, especially high diurnal temperature range (for reds) and high average maximum temperatures (for whites) Good Burgundy vintages are more likely when there is ample rainfall during the bud break period in April and dry conditions during the veraison and ripening phases. As viticulturalists adapt to regional climate trends, a better understanding of how specific climate variables affect wine quality becomes increasingly important in viticulture management.
BID HCP: Blockchain Identifier Based Health Certificate Passport System
Venue: CSS
Year: 2020

The COVID 19 outbreak severely affected daily life. The World Health Organiza tion stated that quarantine was the most effective way to control the spread of the epidemic before the vaccine was developed, but this also led to economic recession. At present, there is an urgent need for solutions to ensure the normal schedule of life while reducing the spread of the epidemic. Several contact tracking solutions have been proposed in the market, but they all have certain limitations, such as health certificates do not recognize each other, and user information is leaked. This paper proposes a health passport system based on blockchain identifier (BID HCP) which ensures that uninfected people travel normally through a unified health certificate passport. What's more, the method separates the user's location information from the user's identity effectively, which protects the user's privacy and efficiently analyzes the high risk areas of the epidemic.
Design, modeling and control of a 5 DoF light weight robot arm for aerial manipulation
Venue: 2015 23rd Mediterranean Conference on Control and Automation (MED)
Year: 2015

The design, modeling and control of a 5 degrees of freedom light weight robot manipulator is presented in this paper. The proposed robot arm, named Prisma Ultra Lightweight 5 ARm (PUL5AR) is employed to execute manipulation tasks equipped on board of a vertical take off and landing unmanned aerial vehicle. The arm is compact and light weight. Its mechanics is designed such that it can fold on itself during landing manoeuvres. Moreover, the design is conceived to constrain the center of gravity of the arm as close as possible to vehicle base, thus reducing the total inertia and static unbalancing of the system. Experimental tests have been carried out in order to validate the dynamic model, the communication library, the developed electronics, and the control schemes implemented for the designed robot arm.
Low Cost Herbal Mosquito Repellent Using Arm Based Device
Venue: 2018 7th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
Year: 2018

The present study reports the studies directed towards the development of safe and efficient herbal mosquito repellant formulations obtained by mixing a solutions of 20ml Neem extract, 20ml Tulsi Oil, 20ml Turmeric Oil, 20ml Orange Peel Oil, 20gm Clove. This unique solution is composed of herbal components and thus has no side effects on the human beings. This paper also defines a unique mosquito repellant sensor which is base don the density of mosquito in a given area. This paper describes a unique approach through which this sensor automatically sense the mosquito density and then regulate the quantity of fumes of our unique solution which is specially prepared from the herbal components, in order to repel mosquitoes as well as purify the air. We conducted several tests on different compositions and mosquito density and thus we conclude that our approach is better and unique than other existing mosquito repellants available in the market.
A Data Mining Approach for Transformer Failure Rate Modeling Based on Daily Oil Chromatographic Data
Venue: IEEE Access
Year: 2020

Evaluating the real time failure rate of transformers can effectively guide the planning of maintenance and reduce their failure risk. This paper proposed a novel transformer failure rate model that considers the impact of maintenance based on daily oil chromatographic monitoring data mining. Firstly, to ensure the quality of the modeling data, an improved k nearest neighbor (KNN) algorithm based on genetic algorithm (GA) is proposed to repair the missing monitoring data. The repaired data is then mapped to the equivalent state duration (ESD) by the M BPNN proposed, which is used to modify the multistate Markov process of transformers so as to quantify the impact of maintenance on failure rate. Considering the changing characteristics of the dissolved gases' content in the short period, the ESD is further merged in sequential periods to obtain the merged equivalent state duration (MESD) Finally, an analytical function of the transformer failure rate with respect to the MESD is obtained. Case studies on a typical substation demonstrate that the proposed approach has the ability to characterize the impact of maintenance and the actual failure rate, thereby improving the accuracy of the substation reliability assessment.
Academic Hardiness as a Moderator between Evaluative Concerns Perfectionism and Academic Procrastination in Students
Venue: The Journal of genetic psychology
Year: 2020

Academic procrastination is a common phenomenon in students that can have a negative impact on effective learning, academic achievement, self esteem, and quality of life. This study examined the associations among the two dimensions of perfectionism (personal standards perfectionism and evaluative concerns perfectionism) academic hardiness, and academic procrastination, as well as the moderating role of academic hardiness in the relationship between the two dimensions of perfectionism and academic procrastination. Participants of this study included 410 high school students in grades 9 to 12 from six schools in Tehran, Iran who completed the Almost Perfect Scale Revised, the Academic Hardiness Scale, and the Procrastination Assessment Scale. The results indicated that personal standards perfectionism and academic hardiness had negative relationships with academic procrastination, whereas evaluative concerns perfectionism had a positive relationship with academic procrastination. Interaction moderation analysis demonstrated that academic hardiness only played a buffering role in the relationship between evaluative concerns perfectionism and academic procrastination. The results of this study elucidate the experience of academic procrastination in students and highlight the role of academic hardiness and personal standards perfectionism. Implications for educators and psychologists are discussed.
Use of Letrozole versus clomiphene estradiol for treating infertile women with unexplained infertility not responding well to clomiphene alone, comparative study
Year: 2018

Clomiphene Citrate (CC) considered as first line treatment option for superovulation in patient with unexplained infertility. However, there is discrepancy between ovulation and conception rates.  Compare the effect of Clomiphene citrate plus Estradiol Valerate with Letrozole on endometrial thickness, pregnancy and abortion rate in women with unexplained infertility.  This was a randomized double blind study.  University hospitals and a private practice setting.  The study included 172 women unexplained infertility with improper endometrial response to CC in spite of good follicular response. They were randomly divided into two groups: Group A received 100 mg CC from day 3 to day 7 of menstruation and 4 mg Estradiol Valerate on the 8th day of menstruation until 14th day, Group B treated by 5 mg Letrozole from day 3 to 7 of menstruation.  There was a statistically significant difference in endometrial thickness between the two groups, (p value Conclusion(s) Letrozole has good effect on endometrial thickness more than Clomid or Clomid plus estradiol when used in women with unexplained infertility with statistically significant difference, but there was no significant difference regarding pregnancy and abortion rate with slight increase toward Letrozole.
Internet of Things: Vision, Future Directions and Opportunities
Year: 2019

Internet of things (IoT) is considered to revolutionize the way internet works and bring together the concepts such as machine to machine (M2M) communication, big data, artificial intelligence, etc. to work under a same umbrella such that cyber space and human (physical systems) are more intertwined and thus ubiquitous giving rise to cyber physical systems. This will involve billions of connections and smart products communicating with each other mostly without human intervention to achieve smart objectives. The idea of IoT has enticed significant research attentions since the massive connectivity bring varieties of challenges and obstacles including heterogeneity, scalability, security, big data, energy requirements, etc. The chapter looks into providing a concise review of the concepts on IoT and applications describing the main features, vision, and future directions. Furthermore, open issues and challenges that need addressing by the research community and some potential solutions are discussed.
Optimization of Palm Oil Fuel Ash (POFA) Content as Cement Replacement Based on Strength and Porosity
Year: 2020

The usage of agricultural waste in form of ashes as one of the constituent materials in concrete has been studied in recent years. Palm Oil Fuel Ash (POFA) is one of the largest agricultural wastes produced in Malaysia that contain high amount of silica with pozzolanic properties. The mass production of POFA are typically disposed to open area and in turn can generate environmental issues and health hazards. Due to the waste disposal problem, a number of initiatives have been done by utilizing POFA into various construction materials including as substitute to Ordinary Portland Cement (OPC) in concrete production. This paper discusses on the water absorption properties and compressive strength of concrete by utilizing POFA in several series of cement replacement. OPC was replaced by POFA at 2.5% 5%,7.5% and 10% in these series of mix design. Control OPC concrete sample was also prepared for comparison. The samples were prepared in 100 mm cubic moulds and tested for compressive strength and water absorption for 7, 14 and 28 day curing ages. Three replicates were prepared for each concrete mix and for each test conducted. The results stipulated that the higher percentage of POFA replacement decreased the compressive strength and increased the water absorption amount of concrete mixture over different concrete ages.
Predictors of Survival From Out of Hospital Cardiac Arrest: A Systematic Review and Meta Analysis
Venue: Circulation. Cardiovascular quality and outcomes
Year: 2010

Prior studies have identified key predictors of out of hospital cardiac arrest (OHCA) but differences exist in the magnitude of these findings. In this meta analysis, we evaluated the strength of associations between OHCA and key factors (event witnessed by a bystander or emergency medical services [EMS] provision of bystander cardiopulmonary resuscitation [CPR] initial cardiac rhythm, or the return of spontaneous circulation) We also examined trends in OHCA survival over time.  An electronic search of PubMed, EMBASE, Web of Science, CINAHL, Cochrane DSR, DARE, ACP Journal Club, and CCTR was conducted (January 1, 1950 to August 21, 2008) for studies reporting OHCA of presumed cardiac etiology in adults. Data were extracted from 79 studies involving 142 740 patients. The pooled survival rate to hospital admission was 23.8% (95% CI, 21.1 to 26.6) and to hospital discharge was 7.6% (95% CI, 6.7 to 8.4) Stratified by baseline rates, survival to hospital discharge was more likely among those: witnessed by a bystander (6.4% to 13.5% witnessed by EMS (4.9% to 18.2% who received bystander CPR (3.9% to 16.1% were found in ventricular fibrillation/ventricular tachycardia (14.8% to 23.0% or achieved return of spontaneous circulation (15.5% to 33.6% Although 53% (95% CI, 45.0% to 59.9% of events were witnessed by a bystander, only 32% (95% CI, 26.7% to 37.8% received bystander CPR. The number needed to treat to save 1 life ranged from 16 to 23 for EMS witnessed arrests, 17 to 71 for bystander witnessed, and 24 to 36 for those receiving bystander CPR, depending on baseline survival rates. The aggregate survival rate of OHCA (7.6% has not significantly changed in almost 3 decades.  Overall survival from OHCA has been stable for almost 30 years, as have the strong associations between key predictors and survival. Because most OHCA events are witnessed, efforts to improve survival should focus on prompt delivery of interventions of known effectiveness by those who witness the event.
Comparison of Health Care Systems in European Countries of OECD (Porownanie funkcjonowania systemow opieki zdrowotnej w europejskich krajach OECD)
Year: 2015

The article presents a comparative analysis of health care systems in European countries of the OECD. Based on the literature, the general characteristics of Beveridge and Bismarck systems are presented. Moreover, analyzes and assessments of health systems due to financial factors, as well as technological and demographic considerations were made. The article presents a comparative analysis of health care systems in European countries of the OECD. Based on the literature, the general characteristics of Beveridge and Bismarck systems are presented. Moreover, analyzes and assessments of health systems due to financial factors, as well as technological and demographic considerations were made. The analysis is qualitative in nature. All countries were divided into three groups. The characteristics of the transition countries in the 90s were referred to the group of countries with the system Beveridge or Bismarck. The analysis includes basic, the most commonly used parameters characterizing the expenses, resources, and results of health systems. The analysis confirmed that the Bismarck system is more costly. Despite the fact that the transition countries adopted a system of Bismarck, they are still a separate group, clearly different from the other countries. These countries are in the middle of the road to build the efficient health care systems that could be comparable with systems in countries with stable and well established economic situation.  health care, Bismarck and Beveridge models, health expenditure and outcomes, comparison analysis.
Gas liquid separation device
Year: 2014

The utility model discloses a gas liquid separation device. The gas liquid separation device comprises a chlorine dioxide generator (1) a dynamic gas liquid separator (2) a static gas liquid separator (3) a conveying pump (4) a residual liquid storage tank (5) and a residual liquid water jet (6) which are sequentially connected in series, and the gas liquid separation device also comprises a water jet (7) which is connected with the dynamic gas liquid separator (2) and the static gas liquid separator (3) respectively. The gas liquid separation device has the advantages that due to the adoption of the two separators with different structures, the gas liquid separation effect is effectively improved, and the liquid separation rate can exceed 96 percent.
Depth Extraction from Video Using Non parametric Sampling
Venue: ECCV
Year: 2012

We describe a technique that automatically generates plausible depth maps from videos using non parametric depth sampling. We demonstrate our technique in cases where past methods fail (non translating cameras and dynamic scenes) Our technique is applicable to single images as well as videos. For videos, we use local motion cues to improve the inferred depth maps, while optical flow is used to ensure temporal depth consistency. For training and evaluation, we use a Kinect based system to collect a large dataset containing stereoscopic videos with known depths. We show that our depth estimation technique outperforms the state of the art on benchmark databases. Our technique can be used to automatically convert a monoscopic video into stereo for 3D visualization, and we demonstrate this through a variety of visually pleasing results for indoor and outdoor scenes, including results from the feature film Charade.
Detonation Performance Characterization of a Novel CL 20 Cocrystal Using Microwave Interferometry
Year: 2018

Development of novel energetic materials is a significant challenge. Cocrystallization has been explored as another route to development of novel materials. However, very little characterization of detonation performance has been performed for these energetic cocrystals. A major challenge for performing detonation velocity measurements with cocrystals is that typical measurement techniques require hundreds of grams to kilograms of material, an amount that exceeds the entire supply of many cocrystals. In this work, small scale detonation velocity measurements using about 1.2 g of material per test employing microwave interferometry are presented and discussed for a novel cocrystal of 1 methyl 3,5 dinitro 1,2,4 triazole (MDNT) and hexanitrohexaazaisowurtzitane (CL 20) in a 1 1 molar ratio and compared to a physical mixture of MDNT and CL 20 in the same molar ratio. The results are compared with detonation velocity measurements with cyclotetramethylene tetranitramine (HMX) which provide validation of the technique and further comparison of the results. With this technique, detonation velocity differences as low as 100 m/s are resolvable. The MDNT/CL 20 cocrystal is observed to detonate over 500 m/s faster than the physical mix and over 600 m/s faster than HMX at the same charge density which is held constant in this work. The enthalpy of formation of the MDNT/CL 20 cocrystal was also measured. Using this, the detonation velocity of the cocrystal was calculated using thermochemistry to be 230 m/s faster than that of the physical mixture of MDNT and CL 20 in the same molar ratio as is contained within the cocrystal at a charge density of 1.4 g/cm3. The higher detonation velocity of the cocrystal (both measured and predicted) compared to the physical mixture is likely attributable to bonding energy contained within the cocrystal and the arrangement of the coformers within the cocrystal.