nils-herrmann/clean_scirepeval huggingface dataset:
Hybrid Approach for Prediction of Cardiovascular Disease Using Class Association Rules and MLP

In data mining classification techniques are used to predict group membership for data instances. These techniques are capable of processing a wider variety of data and the output can be easily interpreted. The aim of any classification algorithm is the design and conception of a standard model with reference to the given input. The model thus generated may be deployed to classify new examples or enable a better comprehension of available data. Medical data classification is the process of transforming descriptions of medical diagnoses and procedures used to find hidden information. Two experiments are performed to identify the prediction accuracy of Cardiovascular Disease (CVD).A hybrid approach for classification is proposed in this paper by combining the results of the associate classifier and artificial neural networks (MLP) The first experiment is performed using associative classifier to identify the key attributes which contribute more towards the decision by taking the 13 independent attributes as input. Subsequently classification using Multi Layer Perceptrons (MLP) also performed to generate the accuracy of prediction using all attributes. In the second experiment, identified key attributes using associative classifier are used as inputs for the feed forward neural networks for predicting the presence or absence of CVD.
Rice mutants deficient in o 3 fatty acid desaturase (FAD8) fail to acclimate to cold temperatures.
Venue: Plant physiology and biochemistry PPB

To investigate the role of o 3 fatty acid (FA) desaturase (FAD8) during cold acclimation in higher plants, we characterized three independent T DNA insertional knock out mutants of OsFAD8 from rice (Oryza sativa L. At room temperature (28 degC) osfad8 plants exhibited significant alterations in fatty acid (FA) unsaturation for all four investigated plastidic lipid classes. During a 5 d acclimation period at 4 degC, further changes in FA unsaturation in both wild type (WT) and mutant plants varied according to the type of lipid. We also monitored the fluidity of the thylakoid membrane using a threshold temperature to represent the change in fluorescence. The values were altered significantly by both FAD8 mutation and cold acclimation, suggesting that factors other than FAD8 are involved in C18 FA unsaturation and fluctuations in membrane fluidity. Similarly, significant changes were noted for both the mutant and WT samples in terms of their FA compositions as well as activities related to photosystem (PS) I, PSII, and photoprotection. This included the development of non photochemical quenching and increased zeaxanthin accumulation. Despite the relatively small changes in FA composition during cold acclimation, cold inducible FAD8 knock out mutants displayed strong differences in photoprotective activities and a further drop in membrane fluidity. The mutants were more sensitive than WT to short term low temperature stress that resulted in increased production of reactive oxygen species after 5 d of chilling. Taken together, our findings suggest that FA unsaturation by OsFAD8 is crucial for the acclimation of higher plants to low temperature stress.
Thermal structural stability of a multi component olivine electrode for lithium ion batteries

Olivine electrodes have been extensively studied as an important class of cathode materials for lithium ion batteries. Although LiFePO4 has shown promise as a low cost and high power electrode thereby leading to its commercialization, recently, binary and ternary olivines such as Li(Fe,Mn,Co)PO4 have also been considered as alternatives to overcome the low operating voltage and low energy density of LiFePO4. Herein, we investigate the structural evolution of Li(Mn1/3Fe1/3Co1/3)PO4, which is a promising multi component olivine cathode material, using combined in situ high temperature X ray diffraction and flux neutron diffraction analyses at various states of charge. The phase stability map of the electrode shows that delithiation/lithiation occurs via a one phase reaction from room temperature to ~500 degC with excellent thermal stability. Maximum entropy method analysis reveals anisotropic lattice expansion along each lattice direction at elevated temperature, which corresponds well with the lattice variations observed upon delithiation in the electrochemical cell.
Social comparison on Facebook: Motivation, affective consequences, self esteem, and Facebook fatigue
Venue: Comput. Hum. Behav.

A growing body of research examines social comparison on Facebook, a social media environment where users can present optimized versions of themselves. To grasp the complexity of social comparison on Facebook, the researchers followed Helgeson and Mickelson's (1995) functional approach, focusing on motives (i.e. self enhancement, self improvement, self evaluation, and self destruction) rather than fixed targets (i.e. downward, upward, and unilateral comparison) of social comparison. Social comparison motivations were explored in relation to self esteem and affective consequences of comparison. A college student sample N 267) reported engaging in social comparison frequently on Facebook and low self esteem (LSE) individuals were more likely than those with higher self esteem (HSE) to compare themselves to others on Facebook for self evaluation, self enhancement, self improvement, and self destruction motives. Moreover, LSEs perceived increased levels of social comparison on Facebook, although the relationship between self esteem and actual social comparison behavior proved non significant. Significant moderating effects of self esteem were observed in the relationship between motivation and affect. A self improvement motive produced greater positive affect among HSEs compared to LSEs, while self enhancement motives engendered positive affect more prominently among LSEs compared to HSEs. The paper also begins to distill a popular phenomenon, Facebook fatigue, in social comparison empirical work.
A cross cultural comparison of climacteric symptoms, self esteem, and perceived social support between Mosuo women and Han Chinese women
Venue: Menopause

This cross cultural study aimed to compare climacteric symptoms, self esteem, and perceived social support between Mosuo and Han Chinese women, and to explore the interaction between culture and climacteric symptoms. Mosuo is a Chinese minority group with a matriarchal structure, and Han Chinese is the majority ethnic group in China with a patriarchal structure. Through convenience sampling, 54 Mosuo women and 52 Han Chinese women between 40 and 60 years of age completed the sociodemographic questionnaire, the Menopause Rating Scale, the Self Esteem Scale, and the Perceived Social Support Scale. Compared with Han Chinese women, Mosuo women scored lower on the psychological (P 0.001) and the somato vegetative (P 0.047) subscales of the Menopause Rating Scale, but higher on the Self Esteem Scale (P 0.006) and the "support from family" subscale of the Perceived Social Support Scale (P 0.004) Multiple linear regressions indicated that minority ethnicity &bgr; 0.207, P 0.016) was one of the predictive variables of psychological symptoms severity. Referring to the severity of all symptoms, predictive variables were: perceived support from family &bgr; 0.210, P 0.017) self esteem &bgr; 0.320, P 0.001) previous history of premenstrual syndrome &bgr; 0.293, P 0.001) number of family members &bgr; 0.229, P 0.003) and family income &bgr; 0.173, P 0.028) Differences in climacteric symptoms were found between two groups. Cultural variables such as familial structure, women's self esteem, and perceived social support were correlated with symptomatology.
Resilience, internalized stigma, self esteem, and hopelessness among people with schizophrenia: Cultural comparison in Austria and Japan
Venue: Schizophrenia Research

Resilience is becoming an important topic in people with schizophrenia since there is evidence that it increases the probability for long term recovery. The current study investigated transcultural differences in resilience across schizophrenia patients from two different geographical regions, Austria and Japan. Another objective was to examine transcultural differences in internalized stigma, self esteem, and hopelessness, which can be expected to be relevant in this context, as well as the interrelations between these subjective elements of recovery and symptom severity. To this end, patients from outpatient mental health services in Innsbruck, Austria (N=52) and Tokyo, Japan (N=60) as well as 137 healthy comparison subjects from both countries were included into this cross sectional study. Notably, we detected a significant country effect with markedly lower resilience (F=74.4, p<0.001) and self esteem scores (F=226.0, p<0.001) as well as higher hopelessness scores (F=37.4, p<0.001) among Japanese subjects in general. In addition, both Austrian and Japanese patients indicated significantly lower degrees of resilience (F=57.5, p<0.001) self esteem (F=51.8, p<0.001) and hope (F=29.5, p<0.001) compared to healthy control subjects. The inter correlations between subjective elements of recovery were comparable in size in the two patient samples, but the inter correlations between these issues and residual symptoms of schizophrenia as objective domains of recovery were markedly higher in Austrian subjects. This suggests that schizophrenia patients from Western European and Japanese cultures may have different needs to achieve recovery. In conclusion, it will be critical to develop culture specific psychosocial programs and to examine their feasibility and effectiveness among these patients.
Secondary symptoms of dyslexia: a comparison of self esteem and anxiety profiles of children with and without dyslexia

The secondary symptoms of individuals with dyslexia, such as high anxiety and low self esteem, have aroused various debates not only in the educational, but also in the clinical context. Since pro and contra arguments are supported by a more or less equal number of empirical findings, no final conclusion could be drawn for this specific phenomenon. The current study aims to contribute more data in this respect and offers a possible explanation for both sides that either support or reject the relationship between dyslexia and its secondary symptoms. The main investigation of this study is the comparison of anxiety and self esteem profiles of children with and without dyslexia. Participants are 124 school children aged between eight and 11 years. Their IQ as well as their reading and writing ability were also measured and used as control variables. All data were collected and analysed using a quantitative approach. Effect sizes are also provided in order to facilitate meta analysis in the future and to confirm the results of a significant test. The results indicate that children with dyslexia have anxiety and self esteem issues in the specific context or domain. However, their general anxiety and self esteem were not impaired. A discussion regarding the possibility and/or the necessity of the secondary symptoms of dyslexia is also provided.
Design and Implementation of a Path Finding Robot Using Flood Fill Algorithm

Autonomous robot is a robot that can perform certain work independently without the human help. Autonomous of navigation is one of the capabilities of autonomous robot to move from one point to another. Implementation of Autonomous robot navigation to explore an unknown environment, requires the robot to explore and map the environment and seek the path to reach a certain point. Path Finding Robot is a mobile robot which moves using wheels with differential steering type. This path finding robot is designed to solve a maze environment that has a size of 5 x 5 cells and it is based on the flood fill algorithm. Detection of walls and opening in the maze were done using ultrasonic range finders. The robot was able to learn the maze, find all possible routes and solve it using the shortest one. This robot also use wall follower algorithms to correct the position of the robot against the side wall maze, so the robot can move straight. After several experiments, the robot can explore and map of maze and find the shortest path to destination point with a success rate of 70%
Ambiguity aversion and household portfolio choice puzzles: Empirical evidence.
Venue: Journal of financial economics

We test the relation between ambiguity aversion and five household portfolio choice puzzles: nonparticipation in equities, low allocations to equity, home bias, own company stock ownership, and portfolio under diversification. In a representative US household survey, we measure ambiguity preferences using custom designed questions based on Ellsberg urns. As theory predicts, ambiguity aversion is negatively associated with stock market participation, the fraction of financial assets in stocks, and foreign stock ownership, but it is positively related to own company stock ownership. Conditional on stock ownership, ambiguity aversion is related to portfolio under diversification, and during the financial crisis, ambiguity averse respondents were more likely to sell stocks.
Electronic and magnetic properties of MnF3(4) superhalogen cluster sandwiched bilayer graphene: First principles calculations

By conducting first principles calculations with van der Waals correction, we investigate the structural, electronic, and magnetic properties of Gr/MnF3(4)/Gr sandwiched structures. The calculated binding energies were within 54 79 meV per carbon atom for the four Gr/MnF3(4)/Gr sandwiched structures tested in our study. This result implies that the MnF3(4) clusters stabilize the AA and AB stacking in the Gr/MnF3(4)/Gr sandwich structures because of the high electronegativity of the clusters. Charge transfer from bilayer graphene to the MnF3(4) clusters is noted to induce effective hole doping in graphene. Spin polarization in the graphene layer is approximately 100% along the majority direction on the position of the Fermi level in the MnF3 doped structures. The band gaps of the spin up and spin down branches and the magnetic moments of the C atoms are increased by compression interlayer spacing. The MnF3 clusters affect the electronic and magnetic properties of graphene in the vicinity of the Fermi level; thus, the clusters are highly suitable for use as a dopant in spintronic applications.
Additive Manufacturing of Magnetic Field Responsive Smart Polymer Composites

In this paper, an additive manufacturing process, named Magnetic Field assisted Projection Stereolithography (M PSL) is presented for applications such as fabricating magnetic field responsive smart polymer composites. The 3D printed magnetic field responsive smart polymer composite creates a wide range of motions, opening up possibilities for various new applications, like sensing and actuation in soft robotics, biomedical devices, and autonomous systems. In M PSL process, a certain amount of nano or micro scale ferromagnetic particles is deposited into resin vat with a programmable microdeposition nozzle. Then a magnetic field is applied to direct the magnetic particles to the desired area. After that, digital mask images are used to cure particles in photopolymer with certain patterns. Important issues like magnetic particle movements, curing mechanisms, and manufacturing process planning are discussed. Two test cases, an impeller and a two wheel roller, have been successfully fabricated for remote control under external magnetic field, showing the capability of printed smart polymer composites on performing desired functions.
Couple manifold discriminant analysis with bipartite graph embedding for low resolution face recognition
Venue: Signal Process.

This brief paper presents a novel method for low resolution face recognition. We introduce a generalized bipartite graph to discretely approximate the underlying manifold structure of face sets with different resolutions. Unlike traditional graph based methods that only construct the graph based on one sample set, the proposed method constructs the generalized bipartite graph on two heterogeneous sample sets and contains more completed information. Our method learns a couple of mappings that project the face sets with different dimensions into a unified feature space which favors the task of classification. Specifically, in this unified space, our method preserves within class local geometrical structure according to the network topology of the generalized bipartite graph and maximizes between class separability at the same time. Experimental results on two benchmark face databases demonstrate the effectiveness of our proposed algorithm. HighlightsWe propose a novel method for low resolution face recognition.We introduce the generalized bipartite graph to approximate the manifold structure.Our method preserves within class local geometrical structure.Our method maximizes between class separability.Low and high resolution faces are projected to a unified discriminative subspace.
A Framework of Human Robot Coordination Based on Game Theory and Policy Iteration
Venue: IEEE Transactions on Robotics

In this paper, we propose a framework to analyze the interactive behaviors of humans and robots in physical interactions. Game theory is employed to describe the system under study, and policy iteration is adopted to provide a solution of Nash equilibrium. The human's control objective is estimated based on the measured interaction force, and it is used to adapt the robot's objective such that human robot coordination can be achieved. The validity of the proposed method is verified through a rigorous proof and experimental studies.
Reciprocity in human robot interaction.

The Journey is the Reward Chinese Proverb Reciprocity is a basic characteristic of Human Human Interaction (HHI) However, there have not been many previous studies about reciprocity in Human Robot Interaction (HRI) The imminent coming of social robots interacting with users in their daily spaces has encouraged researchers in HRI to describe these new relations between humans and robots in terms of reciprocity, persuasion, likeability, and trust. Consequently, these studies could have an impact on the design of new social robots. The development of this thesis considers three main research questions: 1. To what extent do humans reciprocate towards robots? 2. To what extent can robots use reciprocation for their own benefit? 3. What are the most beneficial and preferred reciprocal strategies between humans and robots? I used Game Theory to develop three experimental studies. Decision games such as Prisoner's Dilemma, Ultimatum Game, Repeated Ultimatum Game and Rock, Paper, Scissors were used in the experiments. These games offer an engaging interaction between the participants and the robots, and they allow measuring of the variables related to reciprocity in HRI. The operationalisation of the studies was done under the definition of Reciprocity proposed by Fehr and Gaechter [53] which explains: in response to friendly actions, people are frequently much nicer and much more cooperative than predicted by the self interest model; conversely, in response to hostile actions they are frequently much more nasty and even brutal. In addition to this, in the first and third study the "tit for tat" strategy was used with different modifications since it is a well studied reciprocal strategy tested in previous experiments. Our main goal was to measure to what extent the Norm of Reciprocity,"to those who help us, we should return help, not harm" proposed by Gouldner [63] applies to Human Robot Interaction in all the studies.
Towards coordination in human robot interaction by adaptation of robot's cost function
Venue: 2016 International Conference on Advanced Robotics and Mechatronics (ICARM)

In this work, we propose a method to adapt the robot's cost function, so that the human's control objective can be achieved with the help of the robot. We first employ game theory for linear systems and formulate the problem under study as a two agent game. Then, we solve the problem of unknown human's cost function by developing an estimation method based on the measured interaction force. In particular, the human's target position and control gain are estimated, respectively. At last, the estimated cost function is used as the robot's cost function to generate the robot control. Eventually, human robot coordination is achieved which indicates that the robot is able to interact with the human according to the human's control objective. Rigorous analysis and simulation studies are conducted to show the validity of the proposed method.
A study on synthesis of energy fuel from waste plastic and assessment of its potential as an alternative fuel for diesel engines.
Venue: Waste management

The demand for plastic is ever increasing and has produced a huge amount of plastic waste. The management and disposal of plastic waste have become a major concern, especially in developing cities. The idea of waste to energy recovery is one of the promising techniques used for managing the waste plastic. This paper assesses the potential of using Waste Plastic Oil (WPO) synthesized using pyrolysis of waste plastic, as an alternative for diesel fuel. In this research work, the performance and emission characteristics of a single cylinder diesel engine fuelled with WPO and its blends with diesel are studied. In addition to neat plastic oil, three blends (PO25, PO50 and PO75) were prepared on a volumetric basis and the engine was able to run on neat plastic oil. Brake thermal efficiency of blends was lower compared to diesel, but PO25 showed similar performance to that of diesel. The emissions were reduced considerably while using blends when compared to neat plastic oil. The smoke and NOX were reduced by 22% and 17.8% respectively for PO25 than that of plastic oil.
Electrostatic versus Resonance Interactions in Photoreceptor Proteins: The Case of Rhodopsin.
Venue: The journal of physical chemistry letters

Light sensing in photoreceptor proteins is subtly modulated by the multiple interactions between the chromophoric unit and its binding pocket. Many theoretical and experimental studies have tried to uncover the fundamental origin of these interactions but reached contradictory conclusions as to whether electrostatics, polarization, or intrinsically quantum effects prevail. Here, we select rhodopsin as a prototypical photoreceptor system to reveal the molecular mechanism underlying these interactions and regulating the spectral tuning. Combining a multireference perturbation method and density functional theory with a classical but atomistic and polarizable embedding scheme, we show that accounting for electrostatics only leads to a qualitatively wrong picture, while a responsive environment can successfully capture both the classical and quantum dominant effects. Several residues are found to tune the excitation by both differentially stabilizing ground and excited states and through nonclassical "inductive resonance" interactions. The results obtained with such a quantum in classical model are validated against both experimental data and fully quantum calculations.