nils-herrmann/clean_scirepeval huggingface dataset:
Composable Security in the Tamper Proof Hardware Model Under Minimal Complexity
Venue: TCC

We put forth a new formulation of tamper proof hardware in the Global Universal Composable GUC framework introduced by Canetti et al. in TCC 2007. Almost all of the previous works rely on the formulation by Katz in Eurocrypt 2007 and this formulation does not fully capture tokens in a concurrent setting. We address these shortcomings by relying on the GUC framework where we make the following contributions:1.We construct secure Two Party Computation 2PC protocols for general functionalities with optimal round complexity and computational assumptions using stateless tokens. More precisely, we show how to realize arbitrary functionalities in the two party setting with GUC security in two rounds under the minimal assumption of One Way Functions OWFs. Moreover, our construction relies on the underlying function in a black box way. As a corollary, we obtain feasibility of Multi Party Computation MPC with GUC security under the minimal assumption of OWFs. As an independent contribution, we identify an issue with a claim in a previous work by Goyal, Ishai, Sahai, Venkatesan and Wadia in TCC 2010 regarding the feasibility of UC secure computation with stateless tokens assuming collision resistant hash functions and the extension based only on one way functions.2.We then construct a 3 round MPC protocol to securely realize arbitrary functionalities with GUC security starting from any semi honest secure MPC protocol. For this construction, we require the so called one many commit and prove primitive introduced in the original work of Canetti, Lindell, Ostrovsky and Sahai in STOC 2002 that is round efficient and black box in the underlying commitment. Using specially designed ?input delayed? protocols we realize this primitive with a 3 round protocol in our framework using stateless tokens and one way functions where the underlying one way function is used in a black box way.
Tacky cyclic olefin copolymer: a biocompatible bonding technique for the fabrication of microfluidic channels in COC.
Venue: Lab on a chip

Cyclic olefin copolymer (COC) is widely used in microfluidics due to its UV transparency, its biocompatibility and high chemical resistance. Here we present a fast and cost effective solvent bonding technique, which allows for the efficient bonding of protein patterned COC structures. The bonding process is carried out at room temperature and takes less than three minutes. Enzyme activity is retained upon bonding and microstructure deformation does not occur.
Surface functionalization of cyclic olefin copolymer (COC) with evaporated TiO2 thin film

Cyclic olefin copolymer (COC) is a new class of thermoplastic polymers used for a variety of applications ranging from bio sensing to optics. However, the hydrophobicity of native COC hampers the further development and application of this material  In this work, we report the structural, morphological, and optical properties of the TiO2/COC hybrid material, which provides a desirable substrate for optical devices and subsequent surface modifications. The TiO2 film on COC substrate was deposited by the evaporation method, and it was characterized by X ray photoelectron spectroscopy (XPS) X ray diffraction (XRD) profilometry and atomic force microscope (AFM) Using an UV vis spectrophotometer, we found that the transmittance of the TiO2/COC hybrid material in the visible domain reached 80% The TiO2/COC hybrid appeared to be stable in most of the assessed polar solvents and acid/basic solutions. The new TiO2/COC hybrid material and the robust fabrication method are expected to enable a variety of BioMEMS applications.
EU Trade Regulation for Baby Food: Protecting Health or Trade?

This article explores the effect of European Union (EU) food safety regulations on EU imports of baby food. Pesticides and contaminants contribute to various health problems. Children are more vulnerable to the dangers of pesticides and contaminants because as soon as they start eating solids, they consume a limited number of food items, most of which are fruits and vegetables. To protect the health of the most vulnerable part of the population, the EU regulations stipulate that no more than 0.01 mg/kg of any single pesticide residue is permitted in baby food. In this respect, the EU differs from most of its trading partners, the majority of which do not differentiate food safety regulations according to the age of the consumer. The purpose of this paper is to compare the EU regulations on maximum residue limits of pesticides to those of its major competitors through a severity index. This index is then introduced into a gravity equation to assess the impact on EU imports of baby food. We find that the EU regulation had a negative impact on the volume of trade but a positive one on the probability of setting up new trade relationships.
Mothers' Perception towards the Quality of Baby Food Products in Coimbatore District

The baby food industry is gaining importance all over the world due to the reasons like increasing awareness, increase in income levels and shifts in consumer behaviour. For some reason or the other, most mothers are moving towards baby food formula. Quality of food is an extremely important aspect of human life and people become more and more concerned about nutrition, food safety and environmental issues that determine their acceptance of food products. The data has been collected from 900 married women respondents using Interview schedule method and the technique used to select the respondents is the Multi stage random sampling technique. The statistical tools used for the study were Simple percentage technique, Chi square analysis, Correlation, Regression, Stepwise analysis, Path analysis and Factor analysis. The major focus areas of the baby food industry are mothers. This has resulted in this highly competitive environment of baby food products laying all their emphasis and concentration in providing quality products at nominal prices to their customers which in turn improves their level of satisfaction.
Novel single source integral equation in electromagnetics
Venue: 2016 URSI International Symposium on Electromagnetic Theory (EMTS)

New single source integral equation (SSIE) of computational electromagnetics has been recently proposed. Unlike the previously known SSIEs which are derived from traditional surface integral equations (IE) through elimination of either electric or magnetic equivalent current, the new SSIE is obtained from the volume IE stated for homogeneous objects. Thus far, the novel electric field SSIE has been demonstrated to be applicable to the problems of magneto quasi statics with both homogeneous and layered medium background. It has been also successfully applied to both the scalar and vector problems of full wave scattering on homogeneous penetrable 2D scatterers. This paper overviews the novel SSIE and problems to which it has been successfully applied to.
Electromagnetic and light scattering by nonspherical particles XV: Celebrating 150 years of Maxwell's electromagnetics

The 15th Electromagnetic and Light Scattering Conference (ELS XV) was held in Leipzig, Germany from 21 to 26 of June 2015. This conference built on the great success of the previous meetings held in Amsterdam (1995) Helsinki(1997)  New York City(1998)  Vigo (1999),Halifax (2000) Gainesville (2002) Bremen (2003) Salobrea (2005) St. Petersburg (2006) Bodrum (2007) Hatfield (2008) Helsinki (2010) Taormina (2011) and Lille as well as the workshops held in Bremen (1996,1998) and Moscow (1997) As usual, the main objective of this conference was to bring together scientists, engineers, and PhD students studying various aspects of electromagnetic scattering and to provide a relaxed atmosphere for in depth discussion of theory, measurements, and applications. Furthermore, ELS XV supported the United Nations "Year of Light" and celebrated the150th anniversary of Maxwell's electromagnetics. Maxwell's paper on "A Dynamical Theory of the Electromagnetic Field" was published in1865 and has widely been acknowledged as one of the supreme achievements in the history of science. The conference was attended by136 scientists from 22 countries. The scientific program included two plenary lectures, 16 invited reviews, 88 contributed oral talks, and 70 poster presentations. The program and the abstracts of conference presentations are available at the conference website http:/www.els xv 2015.net/home.html. Following the well established ELS practice and with Elsevier's encouragement, we solicited full size papers for a topical issue of the Journal of Quantitative Spectroscopy and Radiative Transfer (JQSRT) The result of this collective effort is now in the reader's hands. As always, every invited review and regular paper included in this topical issue has undergone the same rigorous peer review process as any other manuscript published in the JQSRT.
Influence of Ancient Indian Scriptures on Corporate Governance Framework

CG has become one of the most commonly used phrases in the current global business vocabulary. It's a hot topic across the globe, these days and in India. It is the most talked about subject after the collapse of Satyam in 2008. Till about two decades ago, it was relatively an unknown subject. The subject came into prominence in late 80's and early 90's when the corporate sector in a number of countries was surrounded with problems of questionable corporate policies or unethical practices. In this paper an attempt has been made to explore the influence of corporate governance from ancient Indian Scriptures. In the Indian context the origin of corporate governance can be traced from different ancient scriptures namely Ramayana, Mahabharata, and Vedas. While this study based on the Kautilya's Arthashastra which was also written in 4th century BC.A qualitative research methodology, named hermeneutics, was used for the present study, in which Kautilya's Arthashastra, one of the ancient classical texts in India were subject to deep study and interpretation. The study reveals that various aspects of corporate governance, which is relevant today, were also mentioned in the Arthashastra.
importancia de las tic para la investigacion en Educacion Superior

This study is framed in an investigation of descriptive field, the same had to describe the importance of research through ICT in higher education. This research is focused on various theoretical underpinnings that allow an outline of the technological theories covering many top level research. The subjects of this study was made up of sixty five (65) students who completed educational research UPEL IPB. At which was applied an instrument to collect information that allowed us to establish the importance of research through the use of information and communications technology at the top level. The analysis of the results indicates that students always use these technologies to develop a broader field of study in its investigation, besides the contribution that these give to the development of their projects. Added to this, recommend applying ICT to ensure the interaction of various sources of knowledge.
Distribution of the Grey Slender Loris (Loris lyddekerianus Cabrera, 1908) in Tamil Nadu, Southern India
Venue: Folia Primatologica

The grey slender loris Loris lydekkerianus, one of only two nocturnal primates of India, is found in the southern part of the country. Our understanding of its geographical distribution is largely based on historical records and short surveys, and little is known of its occurrence in southern India today. We sought to establish the relative abundance of this species in 26 districts in the state of Tamil Nadu and the union territory of Pondicherry in southern India. We sighted lorises in 19 districts, and their relative abundance ranged from 0.01 to 2.21/km. The south central districts of Tamil Nadu showed the highest densities of lorises, while the western districts showed the lowest. Based on these results, we recommend increased protection measures for the forest patches of the Eastern Ghats mountains in order to ensure the long term survival of the grey slender loris.
Epidemiology of dental caries among adolescents in Tamil Nadu, India.
Venue: International dental journal

Economic and dietary changes in the Indian state of Tamil Nadu have led to compromised oral health status of the adolescent population. Adequate epidemiological data are not available to address the prevention or treatment needs in this region of India. The aim of this study was to measure the prevalence and severity of dental caries among adolescents of Tamil Nadu, a southern state of India.  The study sample included 974 adolescent school students (12 15 years of age) from both rural and urban areas of Tamil Nadu, India. The decayed, missing and filled teeth (DMFT) index of these students was measured using the World Health Organization oral health survey method, in a quantitative cross sectional study.  The oral health survey indicated that the prevalence of dental caries among adolescents in rural and urban areas of Tamil Nadu was 61.4% with an average DMFT score of 2.03. Multiple regression analyses indicated factors such as gender, mother's education, type of school and caste as significant predictors of dental caries.  Female gender, Scheduled Caste and Tribes attending public schools in rural areas were identified as the more vulnerable populations to be affected by dental caries. Oral health policies should be targeted to these adolescent populations in the Tamil Nadu region.
Predicting the Sentimental Reviews in Tamil Movie using Machine Learning Algorithms

This paper aims at classifying the Tamil movie reviews as positive and negative using supervised machine learning algorithms.  A novel machine learning approaches are needed for analyzing the Social media text where the data are increasing exponentially. Here, in this work, Machine learning algorithms such as SVM, Maxent classifier, Decision tree and Naive Bayes are used for classifying Tamil movie reviews into positive and negative. Features are also extracted from TamilSentiwordnet.  The dataset for this work has been prepared. SVM algorithm performs well in classifying the Tamil movie reviews when compared with other machine learning algorithms. Both cross validation and accuracy of the algorithm shows that SVM performs well. Other than SVM, Decision tree perform well in classifying the Tamil reviews. Novelty/Improvement: SVM gives an accuracy of 75.9% for classifying Tamil movie reviews which is a good milestone in the research field of Tamil language.
Improving facial analysis and performance driven animation through disentangling identity and expression
Venue: Image Vis. Comput.

We present techniques for improving performance driven facial animation, emotion recognition, and facial key point or landmark prediction using learned identity invariant representations. Established approaches to these problems can work well if sufficient examples and labels for a particular identity are available and factors of variation are highly controlled. However, labeled examples of facial expressions, emotions and key points for new individuals are difficult and costly to obtain. In this paper we improve the ability of techniques to generalize to new and unseen individuals by explicitly modeling previously seen variations related to identity and expression. We use a weakly supervised approach in which identity labels are used to learn the different factors of variation linked to identity separately from factors related to expression. We show how probabilistic modeling of these sources of variation allows one to learn identity invariant representations for expressions which can then be used to identity normalize various procedures for facial expression analysis and animation control. We also show how to extend the widely used techniques of active appearance models and constrained local models through replacing the underlying point distribution models which are typically constructed using principal component analysis with identity expression factorized representations. We present a wide variety of experiments in which we consistently improve performance on emotion recognition, markerless performance driven facial animation and facial key point tracking. Identity expression disentanglement can improve performance driven facial animation.An identity expression factorization approach can improve both AAMs and CLMs.Identity expression disentanglement can improve facial expression recognition.
Nondestructive Testing of Materials and Structures

Condition assessment and characterization of materials and structures by means of nondestructive testing (NDT) methods is a priority need around the world to meet the challenges associated with the durability, maintenance, rehabilitation, retrofitting, renewal and health monitoring of new and existing infrastructures including historic monuments. Numerous NDT methods that make use of certain components of the electromagnetic and acoustic spectrum are currently in use to this effect with various levels of success and there is an intensive worldwide research effort aimed at improving the existing methods and developing new ones. The knowledge and information compiled in this book captures the current state of the art in NDT methods and their application to civil and other engineering materials and structures. Critical reviews and advanced interdisciplinary discussions by world renowned researchers point to the capabilities and limitations of the currently used NDT methods and shed light on current and future research directions to overcome the challenges in their development and practical use. In this respect, the contents of this book will equally benefit practicing engineers and researchers who take part in characterization, assessment and health monitoring of materials and structures.
Indoor SLAM for Micro Aerial Vehicles Control Using Monocular Camera and Sensor Fusion
Venue: 2016 International Conference on Autonomous Robot Systems and Competitions (ICARSC)

This paper represents research in progress in Simultaneous Localization and Mapping (SLAM) for Micro Aerial Vehicles (MAVs) in the context of rescue and/or recognition navigation tasks in indoor environments. In this kind of applications, the MAV must rely on its own onboard sensors to autonomously navigate in unknown, hostile and GPS denied environments, such as ruined or semi demolished buildings. This article aims to investigate a SLAM technique that fuses visual information and measurements from the inertial measurement unit (IMU) to robustly obtain the 6DOF pose estimation of a MAV within a local map of the environment. The monocular visual SLAM algorithm along with the IMU calculate the pose estimation through an Extended Kalman Filter (EKF) The system consists of a low cost commercial drone and a remote control unit to computationally afford the SLAM algorithms using a distributed node system based on ROS (Robot Operating System) Some experimental results show how sensor fusion improves the position estimation and the obtained map under different test conditions.
Non Rankine Hugoniot Shock Zone of Mach Reflection in Hypersonic Rarefied Flows

This study investigates the non Rankine Hugoniot shock zone of Mach reflections in hypersonic flows with different flight altitudes using the direct simulation Monte Carlo method and Navier Stokes approach. In the non Rankine Hugoniot shock zone, the flow viscosity induces the numerical deviation from the inviscid theoretical value with a smooth and continuous variation. It is determined and illuminated by comparing it with shock polars. A suitable and novel definition of the height of the non Rankine Hugoniot shock zone is then derived to facilitate the study of its size. The computations demonstrate that the height of the non Rankine Hugoniot shock zone grows as flight height increases, whereas a reduced Mach stem is observed. The growth of the non Rankine Hugoniot shock zone can be explained by the increase in the curvature of shock waves in the three shock intersection. Computational results show the existence of a strong pressure hot spot and a weak temperature hot spot near the triple point and reve.
Pairwise adaptive thermostats for improved accuracy and stability in dissipative particle dynamics
Venue: J. Comput. Phys.

We examine the formulation and numerical treatment of dissipative particle dynamics (DPD) and momentum conserving molecular dynamics. We show that it is possible to improve both the accuracy and the stability of DPD by employing a pairwise adaptive Langevin thermostat that precisely matches the dynamical characteristics of DPD simulations (e.g. autocorrelation functions) while automatically correcting thermodynamic averages using a negative feedback loop. In the low friction regime, it is possible to replace DPD by a simpler momentum conserving variant of the Nose Hoover Langevin method based on thermostatting only pairwise interactions; we show that this method has an extra order of accuracy for an important class of observables (a superconvergence result) while also allowing larger timesteps than alternatives. All the methods mentioned in the article are easily implemented. Numerical experiments are performed in both equilibrium and nonequilibrium settings; using Lees Edwards boundary conditions to induce shear flow.
Coconut oil consumption and cardiovascular risk factors in humans.
Venue: Nutrition reviews

Coconut oil is being heavily promoted as a healthy oil, with benefits that include support of heart health. To assess the merits of this claim, the literature on the effect of coconut consumption on cardiovascular risk factors and outcomes in humans was reviewed. Twenty one research papers were identified for inclusion in the review: 8 clinical trials and 13 observational studies. The majority examined the effect of coconut oil or coconut products on serum lipid profiles. Coconut oil generally raised total and low density lipoprotein cholesterol to a greater extent than cis unsaturated plant oils, but to a lesser extent than butter. The effect of coconut consumption on the ratio of total cholesterol to high density lipoprotein cholesterol was often not examined. Observational evidence suggests that consumption of coconut flesh or squeezed coconut in the context of traditional dietary patterns does not lead to adverse cardiovascular outcomes. However, due to large differences in dietary and lifestyle patterns, these findings cannot be applied to a typical Western diet. Overall, the weight of the evidence from intervention studies to date suggests that replacing coconut oil with cis unsaturated fats would alter blood lipid profiles in a manner consistent with a reduction in risk factors for cardiovascular disease.
Virgin Coconut Oil and its Cardiovascular Health Benefits
Venue: Natural product communications

Cardiovascular disease (CVD) is known as the number one cause of death worldwide. It is associated with huge health care costs and loss of productivity in the population. Poor diet is an important risk factor in CVD. Diet rich in polyunsaturated fatty acids, such as virgin coconut oil (VCO) has been associated with a reduced risk of CVD. This systematic review focused on studies that reported the association between VCO and the biochemical measurements associated with CVD. These studies conclude that VCO shows promising effects in improving the biochemical derangements associated with CVD, thus lowering the CVD risk. However, most of these studies were performed in animals with very limited data from human. Future investigations are needed to examine the health benefits of VCO in human intervention studies.