nils-herrmann/clean_scirepeval huggingface dataset:
CORPO, CULTURA E TECNICAS: UMA PERSPECTIVA DE PESQUISADORES BRASILEIROS

Este artigo apresenta uma revisao de literatura, buscando verificar que usos sao atribuidos ao termo "tecnicas corporais" como objeto de estudo por pesquisadores brasileiros. Para isso, foi realizada pesquisa de natureza exploratoria em bases de dados do Scielo, Lilacs e Google Academico, usando como descritores: corpo, subjetividade, sincretismo, tecnica corporal e Mauss. O quadro teorico se apoiou, sobretudo, em Mauss (2003) e Goffman (2009) Verificou se que ha uma producao bibliografica substantiva no Brasil acerca do termo "tecnica corporal" e que nos artigos analisados as descricoes das tecnicas corporais nao seguem um padrao uniforme.
Design and evaluation of a novel guidewire navigation robot
Venue: 2016 IEEE International Conference on Mechatronics and Automation

Robotically controlled steerable guidewire navigation systems has been paid much attention to, because it can allow the surgeons to be released from radiation and heavy radiation protection garments, reduce radiation exposure, increase precision and stability of motion, and add operator comfort. The aim of the study was to improve the precision of axial motion, rotational motion and force measurement, as well as installation convenience. A novel guidewire navigation robot, composed of a master side and a slave side was developed, which can reach the high precision, measure the force/torque of guidewire, and realize the force/torque feedback to the surgeon. To evaluate feasibility of the novel guidewire navigation robot, a system evaluation was developed. The experimental results show that: axial error was no more than 0.5mm, the rotational error was no more than 1 degree, and force error was no more than 0.031N. The novel guidewire navigation robot, potentially increasing guidewire motion precision and accuracy, is feasible for minimally invasive surgery.
Does bad governance cause armed conflict

The issue of governance and armed conflict has been debated in recent years. Economists recognized that good governance is central to achieving higher economic development and also ending conflict. In this study, we investigate the effect of governance on armed conflict in 80 selected developing economies for the period 1996 2013. Using Logit model, we determine the response of armed conflict on six measures of governance: voice and accountability, political stability and absence of violence, government effectiveness, regulatory quality, rule of law, and control of corruption in a panel setting. As control variables, we include polity, polity square, social polarization, population and rugged terrain in the model. Interestingly, our results strongly suggest that good governance does contribute to reduce armed conflict. All the governance indicators show significant and negative impact on armed conflict. Moreover, our results suggest that the dimension of political stability and absence of violence is the best governance tool to end armed conflict.
Hostel In Out Management and Monitoring System Using RFID, Face and Thumb Recognition

Security in the hostel is one of the most persistent problems that organization needs to address. Nowadays security is a prime concern in every human beings life. To maintain daily attendance record is complicated and time consuming system for the hostel management. The numbers of existing systems are based on RFID monitoring and making students attendance at school but having limitation. To avoid this entire problem hostel in/out management and monitoring system is proposed. The system makes automatically monitor entry/exit of student from hostel and gives alert SMS to student parents for high safety. In this system each and every student has to store their finger print data base, unique RFID card No. and photograph with their parents' mobile number. Face recognition is known to be the most natural ones, since that uses to identify students in hostel. Fingerprint identification also provides better performance. The system is based on the ARM 11 microcontroller, Finger print scanner, Camera, GSM module, RFID reader and passive RFID tag. Microcontroller ARM 11 is heart of system which will process the functioning of total system. In present system In/Out management and monitoring of student in hostel is done by using RFID technology, Face Recognition system and Finger Print scanner. Alert student parents by sending SMS using GSM module. This system is working without human interface. The goal of our system is to provide security to hostel students and alert their parents about their in/out timing in the hostel. Parents get the sense of security by knowing the current information about in and out of their child in hostel.
Situation Recognition: Visual Semantic Role Labeling for Image Understanding
Venue: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

This paper introduces situation recognition, the problem of producing a concise summary of the situation an image depicts including: (1) the main activity (e.g. clipping) (2) the participating actors, objects, substances, and locations (e.g. man, shears, sheep, wool, and field) and most importantly (3) the roles these participants play in the activity (e.g. the man is clipping, the shears are his tool, the wool is being clipped from the sheep, and the clipping is in a field) We use FrameNet, a verb and role lexicon developed by linguists, to define a large space of possible situations and collect a large scale dataset containing over 500 activities, 1,700 roles, 11,000 objects, 125,000 images, and 200,000 unique situations. We also introduce structured prediction baselines and show that, in activity centric images, situation driven prediction of objects and activities outperforms independent object and activity recognition.
Kawasaki disease: an epidemiological study in central Italy
Venue: Pediatric Rheumatology

BackgroundKawasaki disease (KD) is a systemic vasculitis with an acute and self limited course. The incidence of KD differs widely among ethnic groups and is higher in the Asian population. In Italy, no recent data are available. Our purpose is to define the epidemiology of Kawasaki disease in the years 2008 2013 in children aged 14 years in the Italian regions of Tuscany and Emilia Romagna through administrative data.MethodsWe studied the epidemiology of KD in the years 2008 2013 in children 0 14 years old resident in Tuscany and in Emilia Romagna regions using hospital ICD 9 discharge codes with a thorough data cleaning for duplicates.ResultsThe distribution of the KD patients across ages was similar for the two regions with a peak in the second year of life. When considering data of the two regions together, the rate of incidence was 17.6 for 100,000 children under 5 years. For both Regions the incidence rose slightly during the study period and had a seasonal distribution, with higher incidence in spring and winter.ConclusionThis is the first Italian study performed through the use of administrative data. Figures are in line but slightly higher than those published in other European countries.
Lossless image coding using hierarchical decomposition and recursive partitioning
Venue: APSIPA Transactions on Signal and Information Processing

State of the art lossless image compression schemes, such as JPEG LS and CALIC, have been proposed in the context adaptive predictive coding framework. These schemes involve a prediction step followed by context adaptive entropy coding of the residuals. However, the models for context determination proposed in the literature, have been designed using ad hoc techniques. In this paper, we take an alternative approach where we fix a simpler context model and then rely on a systematic technique to efficiently exploit spatial correlation to achieve efficient compression. The essential idea is to decompose the image into binary bitmaps such that the spatial correlation that exists among non binary symbols is captured as the correlation among few bit positions. The proposed scheme then encodes the bitmaps in a particular order based on the simple context model. However, instead of encoding a bitmap as a whole, we partition it into rectangular blocks, induced by a binary tree, and then independently encode the blocks. The motivation for partitioning is to explicitly identify the blocks within which the statistical correlation remains the same. On a set of standard test images, the proposed scheme, using the same predictor as JPEG LS, achieved an overall bit rate saving of 1.56% against JPEG LS.
MiRNA binding site functional polymorphisms in DNA repair genes RAD51, RAD52, and XRCC2 and breast cancer risk in Chinese population
Venue: Tumor Biology

RAD51, RAD52, and XRCC2 are all involved in DNA homologous recombinational repair, and there are interactions among those genes. Polymorphisms in 3' UTR of DNA repair genes may change DNA repair capacity by regulating gene expression. However, potential regulatory variants affecting their expression remain largely unexplored. Five miRNA binding site SNPs (rs7180135 and rs45549040 in RAD51, rs1051669 and rs7963551 in RAD52 and rs3218550 in XRCC2) selected by bioinformatics method were genotyped in 498 breast cancer (BC) patients and 498 matched controls in Chinese population. Association between SNPs and BC risk was analyzed by adjusted odds ratios (ORs) and 95 confidence intervals (CIs) in unconditional logistic regression model. Quantitative real time (qRT) PCR and Western Blot assays were used to calculate the relative expression of RAD52 in recombinant plasmid pGenesil 1 let 7b group and let 7b inhibitor group. Gene reproductive factors interactions were evaluated by multifactor dimensionality reduction (MDR) method. We found that individuals with AC (OR 0.684, 95%CI 0.492 0.951) and CC (OR 0.317, 95%CI 0.200 0.503) genotypes of rs7963551 had a significantly lower risk of breast cancer and qRT PCR and Western Blot revealed that let 7b might downregulate the expression of RAD52 in MCF 7 and SKBR 3 cells. A significant interaction between the number of pregnancy =2) and rs7963551 (Ars7963551) was found to increase breast cancer risk by 2.63 fold (OR 2.63; 95%CI 2.03 3.42) In summary, the miRNA binding SNPs in DNA repair genes RAD51, RAD52, and XRCC2 and their interaction with reproductive factors might play important roles in the development of BC, and let 7b might downregulate RAD52 expression in MCF 7 and SKBR 3 cells.
Artificial neural network based exploration of gene nutrient interactions in folate and xenobiotic metabolic pathways that modulate susceptibility to breast cancer.
Venue: Gene

In the current study, an artificial neural network (ANN) based breast cancer prediction model was developed from the data of folate and xenobiotic pathway genetic polymorphisms along with the nutritional and demographic variables to investigate how micronutrients modulate susceptibility to breast cancer. The developed ANN model explained 94.2% variability in breast cancer prediction. Fixed effect models of folate (400 mg/day) and B12 (6 mg/day) showed 33.3% and 11.3% risk reduction, respectively. Multifactor dimensionality reduction analysis showed the following interactions in responders to folate: RFC1 G80A x MTHFR C677T (primary) COMT H108L x CYP1A1 m2 (secondary) MTR A2756G (tertiary) The interactions among responders to B12 were RFC1G80A x cSHMT C1420T and CYP1A1 m2 x CYP1A1 m4. ANN simulations revealed that increased folate might restore ER and PR expression and reduce the promoter CpG island methylation of extra cellular superoxide dismutase and BRCA1. Dietary intake of folate appears to confer protection against breast cancer through its modulating effects on ER and PR expression and methylation of EC SOD and BRCA1.
Customary Constraints on the Use of Force: Article 51 with an American Accent
Venue: Leiden Journal of International Law

This article, prepared for the symposium on 'The Future of Restrictivist Scholarship on the Use of Force' examines the current trajectory of restrictivist scholarship in the United States. In contrast to their counterparts in continental Europe, American restrictivists tend to devote less energy to defending narrow constructions of the UN Charter. Instead, they generally focus on legal constraints outside the Charter's text, including customary norms and general principles of law such as necessity, proportionality, deliberative rationality, and robust evidentiary burdens. The article considers how these features of the American restrictivist tradition reflect distinctive characteristics of American legal culture, and it explores the tradition's influence on debates over anticipatory self defense and the use of force against non state actors abroad. The article concludes by examining how the American restrictivist tradition is beginning to shape the United States' approach to the use of force in response to cyber attacks.
Direct Imaging discovery of a second planet candidate around the possibly transiting planet host CVSO 30

We surveyed the 25 Ori association for direct imaging companions. This association has an age of only few million years. Among other targets, we observed CVSO 30, which has recently been identified as the first T Tauri star found to host a transiting planet candidate. We report on photometric and spectroscopic high contrast observations with the Very Large Telescope, the Keck telescopes, and the Calar Alto observatory. They reveal a directly imaged planet candidate close to the young M3 star CVSO 30. The JHK band photometry of the newly identified candidate is at better than 1 sigma consistent with late type giants, early T and early M dwarfs, and free floating planets. Other hypotheses such as galaxies can be excluded at more than 3.5 sigma. A lucky imaging z' photometric detection limit z' 20.5 mag excludes early M dwarfs and results in less than 10 MJup for CVSO 30 c if bound. We present spectroscopic observations of the wide companion that imply that the only remaining explanation for the object is that it is the first very young 10 Myr) L T type planet bound to a star, meaning that it appears bluer than expected as a result of a decreasing cloud opacity at low effective temperatures. Only a planetary spectral model is consistent with the spectroscopy, and we deduce a best fit mass of 4 5 Jupiter masses (total range 0.6 10.2 Jupiter masses) This means that CVSO 30 is the first system in which both a close in and a wide planet candidate are found to have a common host star. The orbits of the two possible planets could not be more different: they have orbital periods of 10.76 hours and about 27000 years. The two orbits may have formed during a mutual catastrophic event of planet planet scattering.
Marketing Strategies and Performance of Youth Led Micro and Small Agribusinesses in Kenya

Mrs. Susan Ingasia Naikuru, Dr. Jane Gathenya, Dr. Waweru Kamaku Tutorial Fellow College of Human Resource Development Jomo Kenyatta University of Agriculture and Technology P. O. Box 62000 00200Nairobi, Kenya Lecturer College of Human Resource Development Jomo Kenyatta University of Agriculture and Technology P. O. Box 62000 00200Nairobi, Kenya Lecturer Department of Pure and Applied Mathematics Jomo Kenyatta University of Agriculture and Technology P. O. Box 62000 00200Nairobi, Kenya
Analysis of significant factors for dengue fever incidence prediction
Venue: BMC Bioinformatics

BackgroundMany popular dengue forecasting techniques have been used by several researchers to extrapolate dengue incidence rates, including the K H model, support vector machines (SVM) and artificial neural networks (ANN) The time series analysis methodology, particularly ARIMA and SARIMA, has been increasingly applied to the field of epidemiological research for dengue fever, dengue hemorrhagic fever, and other infectious diseases. The main drawback of these methods is that they do not consider other variables that are associated with the dependent variable. Additionally, new factors correlated to the disease are needed to enhance the prediction accuracy of the model when it is applied to areas of similar climates, where weather factors such as temperature, total rainfall, and humidity are not substantially different. Such drawbacks may consequently lower the predictive power for the outbreak.ResultsThe predictive power of the forecasting model assessed by Akaike's information criterion (AIC) Bayesian information criterion (BIC) and the mean absolute percentage error (MAPE) is improved by including the new parameters for dengue outbreak prediction. This study's selected model outperforms all three other competing models with the lowest AIC, the lowest BIC, and a small MAPE value. The exclusive use of climate factors from similar locations decreases a model's prediction power. The multivariate Poisson regression, however, effectively forecasts even when climate variables are slightly different. Female mosquitoes and seasons were strongly correlated with dengue cases. Therefore, the dengue incidence trends provided by this model will assist the optimization of dengue prevention. present work demonstrates the important roles of female mosquito infection rates from the previous season and climate factors (represented as seasons) in dengue outbreaks. Incorporating these two factors in the model significantly improves the predictive power of dengue hemorrhagic fever forecasting models, as confirmed by AIC, BIC, and MAPE.
Prediction of Dengue Outbreaks Based on Disease Surveillance and Meteorological Data
Venue: PloS one

Research is needed to create early warnings of dengue outbreaks to inform stakeholders and control the disease. This analysis composes of a comparative set of prediction models including only meteorological variables; only lag variables of disease surveillance; as well as combinations of meteorological and lag disease surveillance variables. Generalized linear regression models were used to fit relationships between the predictor variables and the dengue surveillance data as outcome variable on the basis of data from 2001 to 2010. Data from 2011 to 2013 were used for external validation purposed of prediction accuracy of the model. Model fit were evaluated based on prediction performance in terms of detecting epidemics, and for number of predicted cases according to RMSE and SRMSE, as well as AIC. An optimal combination of meteorology and autoregressive lag terms of dengue counts in the past were identified best in predicting dengue incidence and the occurrence of dengue epidemics. Past data on disease surveillance, as predictor alone, visually gave reasonably accurate results for outbreak periods, but not for non outbreaks periods. A combination of surveillance and meteorological data including lag patterns up to a few years in the past showed most predictive of dengue incidence and occurrence in Yogyakarta, Indonesia. The external validation showed poorer results than the internal validation, but still showed skill in detecting outbreaks up to two months ahead. Prior studies support the fact that past meteorology and surveillance data can be predictive of dengue. However, to a less extent has prior research shown how the longer term past disease incidence data, up to years, can play a role in predicting outbreaks in the coming years, possibly indicating cross immunity status of the population.
Climate variation drives dengue dynamics
Venue: Proceedings of the National Academy of Sciences

Dengue is a vector borne infectious disease that threatens human health on a global scale. Because of climate change, globalization, and other factors, dengue has increasingly spread to new countries and over larger areas, from tropical to temperate zones. In this study, we found that climate has both direct effects on dengue incidence and indirect effects mediated by mosquito density, as mosquitoes are the vectors of dengue. The quantitative results derived from this study may be helpful toward advancing our understanding of how climate influences vector borne diseases and prove useful for the control and prevention of dengue fever. Dengue, a viral infection transmitted between people by mosquitoes, is one of the most rapidly spreading diseases in the world. Here, we report the analyses covering 11 y (2005 2015) from the city of Guangzhou in southern China. Using the first 8 y of data to develop an ecologically based model for the dengue system, we reliably predict the following 3 y of dengue dynamics years with exceptionally extensive dengue outbreaks. We demonstrate that climate conditions, through the effects of rainfall and temperature on mosquito abundance and dengue transmission rate, play key roles in explaining the temporal dynamics of dengue incidence in the human population. Our study thus contributes to a better understanding of dengue dynamics and provides a predictive tool for preventive dengue reduction strategies.
Meta Analysis of Dengue Severity during Infection by Different Dengue Virus Serotypes in Primary and Secondary Infections
Venue: PloS one

Dengue virus (DENV) infection is currently a major cause of morbidity and mortality in the world; it has become more common and virulent over the past half century and has gained much attention. Thus, this review compared the percentage of severe cases of both primary and secondary infections with different serotypes of dengue virus.  Data related to the number of cases involving dengue fever (DF) dengue hemorrhagic fever (DHF) dengue shock syndrome (DSS) or severe dengue infections caused by different serotypes of dengue virus were obtained by using the SCOPUS, the PUBMED and the OVID search engines with the keywords "(dengue* OR dengue virus* AND (severe dengue* OR severity of illness index* OR severity* OR DF* OR DHF* OR DSS* AND (serotypes* OR serogroup*" according to the MESH terms suggested by PUBMED and OVID.  31 studies encompassing 15,741 cases reporting on the dengue serotypes together with their severity were obtained, and meta analysis was carried out to analyze the data. This study found that DENV 3 from the Southeast Asia (SEA) region displayed the greatest percentage of severe cases in primary infection (95% confidence interval (CI) 31.22 53.67, 9 studies, n 598, I2 71.53% whereas DENV 2, DENV 3, and DENV 4 from the SEA region, as well as DENV 2 and DENV 3 from non SEA regions, exhibited the greatest percentage of severe cases in secondary infection (95% CI, 11.64 80.89, 4 14 studies, n 668 3,149, I2 14.77 96.20% Moreover, DENV 2 and DENV 4 from the SEA region had been found to be more highly associated with dengue shock syndrome (DSS) (95% CI, 10.47 40.24, 5 8 studies, n 642 2,530, I2 76.93 97.70% while DENV 3 and DENV 4 from the SEA region were found to be more highly associated with dengue hemorrhagic fever (DHF) (95% CI, 31.86 54.58, 9 studies, n 674 2,278, I2 55.74 88.47% according to the 1997 WHO dengue classification. Finally, DENV 2 and DENV 4 from the SEA region were discovered to be more highly associated with secondary infection compared to other serotypes (95% CI, 72.01 96.32, 9 12 studies, n 671 2,863, I2 25.01 96.75%  This study provides evidence that the presence of certain serotypes, including primary infection with DENV 3 from the SEA region and secondary infection with DENV 2, DENV 3, and DENV 4 also from the SEA region, as well as DENV 2 and DENV 3 from non SEA regions, increased the risk of severe dengue infections. Thus, these serotypes are worthy of special consideration when making clinical predictions upon the severity of the infection.