nils-herrmann/clean_scirepeval huggingface dataset:
An IoT based patient monitoring system using raspberry Pi
Venue: 2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16)

In the recent development of, Internet of Things (IoT) makes all objects interconnected and it has been recognized as the next technical revolution. Some of the applications of Internet of Things are smart parking, smart home, smart city, smart environment, industrial places, agriculture fields and health monitoring process. One such application is in healthcare to monitor the patient health status Internet of Things makes medical equipments more efficient by allowing real time monitoring of patient health, in which sensor acquire data of patient's and reduces the human error. In Internet of Things patient's parameters get transmitted through medical devices via a gateway, where it is stored and analyzed. The significant challenges in the implementation of Internet of Things for healthcare applications is monitoring all patient's from various places. Thus Internet o Things in the medical field brings out the solution for effective patient monitoring at reduced cost and also reduces the trade off between patient outcome and disease management. In this paper discuss about, monitoring patient's body temperature, respiration rate, heart beat and body movement using Raspberry Pi board.
Development, validation, and factorial comparison of the McGill Self Efficacy of Learners For Inquiry Engagement (McSELFIE) survey in natural science disciplines

Sociocognitive theory [Bandura, A. (1986) Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice Hall; Bandura, A. (1989) Human agency in social cognitive theory. American Psychologist, 44, 1175 1184. doi:10.1037/0003 066x.44.9.1175; Bandura, A. (1991) Social cognitive theory of self regulation. Organizational Behavior and Human Decision Processes, 50, 248 287. doi:10.1016/0749 5978(91)90022 L] accords high importance to the mechanisms of human agency and how they are exercised through self efficacy. In this paper, we developed and validated the McGill Self Efficacy For Inquiry Engagement (McSELFIE) instrument with undergraduate students in natural science disciplines. We defined inquiry engagement as carrying out the practices of science (POS) that are supported by students' personality characteristics (SPCs) and that result in achieving inquiry learning outcomes (ILOs) Based on these theoretical perspectives, the McSELFIE is a 60 item, learner focused survey that addresses three components that are theoretically important for engaging in scientific inquiry: (a) SPCs, (b) ILOs, and (c) POS. Evidence for construct and content validity were obtained by using experts' judgments and confirmatory factor analysis with a sample of 110 undergraduate students enrolled in science disciplines. Internal consistency of the factors and instrument was also examined. The McSELFIE instrument is a reliable and valid instrument for measuring science undergraduate students' self efficacy for inquiry engagement. Matched pairs analyses were conducted among the instruments' factors. Students reported the highest self efficacy for openness, applying knowledge, and carrying out investigations. Students reported the lowest self efficacy for extraversion, understanding metacognitive knowledge, and planning investigations. Theoretical and practical implications are discussed.
Enterprise Information Systems within the Context of Information Security: A Risk Assessment for a Health Organization in Turkey

Enterprise information systems implemented in the organizations are critical assets to provide competitive advantage in changing sectoral conditions and continuity of business processes and management of enterprise resources. In this regard, information security approaches and assessment techniques are used to examine the maturity level of enterprise and determine the risks and potential solutions for enterprise information systems. This study aims to measure information systems in terms of information security and risks. On the other hand, it is also aimed to describe the potential effects of assessment techniques and tools for state organizations to manage their critical assets. In order to achieve these aims, information systems of one of the large scale health sector organizations in Turkey were assessed via an international assessment tool that is adapted to Turkish conditions in some parts like legal regulations. The results obtained through assessment tool provide the current maturity level of the organization and remark the points that should be improved for the security of information systems and the critical components such as risks, processes, people, IT reliance and technology.
Stimulants of Online Shopping Behaviour among Chinese Millenials in China

To survive and prosper in the China, online companies must design their operational platforms to organically adjust to changes in consumer shopping behavior. The study investigated the intrinsic and extrinsic factors that influence the online purchasing behavior of Chinese millennials. A cohort of university students from selected parts of the Jiangsu province provided the sample of study. Consistent with the extant literature, the research confirms that millenials are influenced by several external factors, demographic factors, personal characteristics, and vendor/service/product characteristics and websites qualities when buying online. The economic, socio cultural, technological, and legal considerations where the main external factors that influences online shopping behavior of Chinese millenials, internet knowledge, concern for security, need specificity and disposition to trust were the main personal characteristics identified. The study also found significant association between vendor services such as real existence of the store, store reputation, store size, reliability, assurance (seals, warranties, news clips) and use of testimonials/reference have association with millennials' purchasing intention. Similar characteristics were identified for product characteristics, service quality factors and website quality and each of these is statistically significant. Gender was determined to moderate the effect of all the factors on online shopping behavior.
Online Flow: Effects of Perceived Challenges Measured Before and After a Shopping Task

The purpose of this study is to examine the difference between perceived challenges measured before and after shopping online for fashion products and their effects in leading to flow. An online survey including an online shopping task was conducted with a national sample of 500 adult consumers recruited in the U.S.A. The paired t test results show that perceived challenge measured before the task is significantly higher than perceived challenge measured after the task. ANOVA results further show that the interaction effect between skill and challenge on flow is significant only when perceived challenge is measured after that task. Implications of the findings and recommendations for further research are also discussed.
Teaching for higher levels of thinking: developing quantitative and analytical skills in environmental science courses

Professionals with strong quantitative and analytical skills are essential to understanding and responding to current environmental challenges. The goal of this study was to promote and evaluate the development of data analysis (DA) skills in undergraduate students through targeted interventions in environmental science courses. We developed materials to promote practice, instruction, and assessment of four core DA dimensions: the ability to make appropriate calculations, convert data to graphical representations, interpret graphical or mathematical information, and draw conclusions based on the analysis of data. We integrated two conservation exercises as pre/post assessment tools, flanking differentiated teaching interventions, into selected science courses and used a standardized rubric to measure students' performance level. We found that students improved their DA skills in a single semester, but the level of improvement varied across skill dimensions. Students struggled with dimensions that require higher levels of thinking such as data interpretation and drawing conclusions. The use of additional exercises targeting these dimensions and alternative practices might enhance gains. Importantly, students also gained content knowledge in ecological principles while developing skills, and demonstrated an increase in self confidence with their DA skills. Our approach and open access materials can be integrated into existing courses to develop and assess data skills in undergraduate learners.
Environmental Science (AS)

There will be one written paper of three hours duration carrying 70 marks divided into two parts. Part 1 (20 marks) will consist of compulsory short answer questions on the entire syllabus. Part 2 (50 marks) will consist of three sections. Each section will have three questions. The candidates will be expected to answer five questions in all choosing at least one from each section. Project work will carry 30 marks. The project needs to be done under the supervision of the teacher. The project work will be evaluated by a Visiting Examiner (who has expertise in that specific area) appointed locally and approved by the Council.
An Expanding and Shifting Focus in Recent Environmental Health Literature: A Quantitative Bibliometric Study.
Venue: Journal of environmental health

This special report characterizes the patterns of environmental health literature from 1993 to 2012 by using bibliometric techniques based on databases of the Science Citation Index and the Social Science Citation Index. "Research article" was the most widely used document type, accounting for 71.7% of the total records (5,053) and 94.9% of these articles were published in English. The number of environmental health publications is growing along with an increasing level of communication. The U.S. was the largest contributing country with the highest h index (85) and the most publications (1,854) followed by the UK and Canada. Environmental Health Perspectives and the Journal of Environmental Health were the top two most productive journals. The most cited article in each main research area is also listed. The authors' study not only identifies global characteristics in environmental health research, but also influences researchers' selection of future studies and publications.
Post quantum cryptography: lattice based cryptography and analysis of NTRU public key cryptosystem

In 1994, Peter Shor has developed a quantum algorithm for integer factorization and the discrete logarithm problem, known as Shor's algorithm. This was a great finding in the quantum field, given that it makes essentially all currently used cryptographic constructions (such as RSA and ECC) easily breakable by a quantum computer. Since quantum computers are believed to phisically exist in the next few years, these encryption schemes will be no longer reliable, making the encrypted data compromised. It is thus of crucial importance to build and analyze new quantum resistant cryptographic schemes. These new cryptographic constructions should be efficient and secure enough to be used in practice and standardized for a large number of years, replacing the current ones if needed. In the last year, NIST (National Institute of Standards and Technology, from U.S. Department of Commerce) has announced its quest of finding such quantum resistant cryptographic constructions. The NTRU encryption scheme, developed by Jeffrey Hoffstein, Jill Pipher and Joseph Silverman (the same Silverman famous for his work on elliptic curves) in the 90's, presented in 1996 and published in 1998, is an example of a quantum resistant proposal. Although it is not supported with a theoretical security proof, the scrutiny done since its presentation until now reveal that NTRU is secure and is a good successor for replacing the current constructions currently in use. It is a fact that there already exist some classical cryptosystems that are quantum resistant. The McEliece cryptosystem (1978) is an example of such a quantum resistant construction, but it is not good to be used in practice. The theory behind the NTRU cryptosystem is very simple, therefore easy to understand, and NTRU can be very easily implemented and put in practice: both private and public keys are easy and quickly computable, having O(N) length, making a clear difference between the length O(N2) of other cryptosystems considered as fast, and encrypting and decrypting with NTRU takes O(N2) operations, which makes it considerably faster than RSA and ECC. To date, NTRU remains secure against both classical and quantum computers. The most effective attacks on NTRU are based on lattices, namely using lattice reduction algorithms, which goal is to find very short vectors in a lattice. One can apply the LLL algorithm (1982) of Arjen Lenstra, Hendrik Lenstra and Laszlo Lovasz, which is recognized as a very important achievement in many areas of mathematics. It runs in polynomial time, but has an exponential approximation factor. This algorithm was improved over time. The most important improvement is due to Schnorr (1987) who introduced the Blockwise Korkine Zolotarev algorithm, also known as BKZ algorithm, which is to date the best lattice reduction algorithm to be put in practice. In 2011, Yuanmi Chen and Phong Q. Nguyen improved the BKZ algorithm, revising lattice security estimates, and created the BKZ simulation algorithm, permitting to predict both
Matching Networks for One Shot Learning
Venue: NIPS

Learning from a few examples remains a key challenge in machine learning. Despite recent advances in important domains such as vision and language, the standard supervised deep learning paradigm does not offer a satisfactory solution for learning new concepts rapidly from little data. In this work, we employ ideas from metric learning based on deep neural features and from recent advances that augment neural networks with external memories. Our framework learns a network that maps a small labelled support set and an unlabelled example to its label, obviating the need for fine tuning to adapt to new class types. We then define one shot learning problems on vision (using Omniglot, ImageNet) and language tasks. Our algorithm improves one shot accuracy on ImageNet from 87.6% to 93.2% and from 88.0% to 93.8% on Omniglot compared to competing approaches. We also demonstrate the usefulness of the same model on language modeling by introducing a one shot task on the Penn Treebank.
Effects of member size and selective incentives of agricultural cooperatives on product quality

The purpose of this paper is to analyse the effects of member size and external incentives (food safety certification and target market) on cooperative's product quality, using data collected from 135 apple producing cooperatives in China.  Given that different indicator variables were used to measure apple quality, the authors employed a principle component analysis method to reduce the measurement dimension. An ordinary least square regression was employed to analyse the effects of member size and selective incentives of agricultural cooperatives on product quality.  The empirical results show that member size and cooperative's product quality bear an inverse "U shape" relationship, and food safety certification and target market variables tend to positively and significantly influence cooperative's product quality. In particular, the cooperatives with more food safety certificates and targeting supermarkets and export enterprises are more likely to suppl.
Selective Incentives and Intra Group Heterogeneity in Collective Contents

A group taking part in a contest has to confront the collective action problem among its members and devices of selective incentives are possible means of resolution. We argue that heterogeneous prize valuations in a competing group normally prevent effective use of such selective incentives. To substantiate this claim, we adopt cost sharing as a means of incentivizing the individual group members. We confirm that homogeneous prize valuations within a group result in a cost sharing rule inducing the first best individual contributions. As long as the cost sharing rule is dependent only on the members' contributions, however, such a first best rule does not exist for a group with intra group heterogeneity. Our main result clarifies how unequal prize valuations affect the cost sharing rule and, in particular, the degree of cost sharing. The results are related to the fact that heterogeneous valuations of the prize in a group cause inappropriate realization of voluntary contributions, a situation known as the "exploitation of the great by the small."
Study of decision framework of offshore wind power station site selection based on ELECTRE III under intuitionistic fuzzy environment: A case of China

Offshore wind power projects have been rapidly proposed in China due to policy promotion. Site selection immensely decides the success of any offshore wind power development and is a complex multi criteria decision making (MCDM) problem. However, canonical MCDM methods tend to fail the site selection process due to the following three problems. Firstly, the compensation problem exists in information processing. Secondly, there exists the problem of incomplete utilization of decision information and information loss in the decision process. Thirdly, the interaction problem in the fuzzy environment is easy to be ignored. To deal with the above problems, this study builds a framework for offshore wind farm site selection decision utilizing Elimination et Choix Traduisant la Realite III (ELECTRE III) in the intuitionistic fuzzy environment. First of all, the comprehensive index system of OWPS site selection consisting of veto criteria and evaluation criteria is constructed. Then, the intuitionistic fuzzy set is used in the group decision for the decision makers to express the imperfect knowledge. Moreover, the generalized intuitionistic fuzzy ordered weighted geometric interaction averaging (GIFWGIA) operator is applied to deal with the interaction problem. Together with the likelihood based valued comparisons, imprecise decision information is reasonably used and information loss problem is rationally avoided. Then a case of China is studied based on the proposed framework, demonstrating the site selection methodology valid and practical. This study implements evaluation method for offshore wind power site selection and also provides a theoretical basis for the development of offshore wind power decision making in China.
Educational Data Mining Classifier For Semester One Performance to Improve Engineering Students Achievement

In higher education system, it's very important to predict academic performance for students, instructors and management during the course. If institutions able to predict and assess student performance early in the beginning of the course, thus students and instructors ought to take action for better achievement. In order to accomplish such action in Universiti Teknologi Mara that introduces Electrical Engineering Students to fundamental subjects in semester one such as Signal and System, Electrical Circuit, Mathematics and Electronics; this research is to classify students' performance at the beginning of the course to predict students' final achievement. In this study, Neuro Fuzzy classifier system in educational data mining is used to analyze data of semester one and predict students' achievement upon graduation. In order to increase the performance of the system; data pre processing and investigation using linear regression and statistics are used to explore the performance of semester one. By means of applying these methods, students' performance is classified in the beginning of the study, achievement upon graduation is predicted and accuracy is evaluated with actual data.
1 AZAM Aiding Low Income Households in Malaysia

Poverty has always been a major topic of discussion throughout the world. Based on the studies that have been conducted in Malaysia, they only take about 44 years to reach 1% incidence of poverty in 2014. While in 1970, the incidence of poverty was 49.3% Malaysian government's efforts to eradicate poverty of its people can be seen when the government attempted through the Government Transformation Programme (GTP) through the National Key Result Areas (NKRA) with the Ministry of Women, Family and Community Development (KPWKM) becomes as the main driver. Through KPWKM, 1AZAM (1Aim) was launched. The program identified four main areas namely AZAM Tani (Farms  AZAM Khidmat (Services Aim) AZAM Kerja (Works Aim) and AZAM Niaga (Business Aim) to help the poor Malaysians out of the group.
Zika Virus Associated with Microcephaly.
Venue: The New England journal of medicine

A widespread epidemic of Zika virus (ZIKV) infection was reported in 2015 in South and Central America and the Caribbean. A major concern associated with this infection is the apparent increased incidence of microcephaly in fetuses born to mothers infected with ZIKV. In this report, we describe the case of an expectant mother who had a febrile illness with rash at the end of the first trimester of pregnancy while she was living in Brazil. Ultrasonography performed at 29 weeks of gestation revealed microcephaly with calcifications in the fetal brain and placenta. After the mother requested termination of the pregnancy, a fetal autopsy was performed. Micrencephaly (an abnormally small brain) was observed, with almost complete agyria, hydrocephalus, and multifocal dystrophic calcifications in the cortex and subcortical white matter, with associated cortical displacement and mild focal inflammation. ZIKV was found in the fetal brain tissue on reverse transcriptase polymerase chain reaction (RT PCR) assay, with consistent findings on electron microscopy. The complete genome of ZIKV was recovered from the fetal brain.