nils-herrmann/clean_scirepeval huggingface dataset:
Increasing Accessibility in a Peer Assisted College Support Program for Students with Autism in Higher Education
Year: 2020

Transitions from high school to an institution of higher education (IHE) can be compromised for young individuals with disabilities. Markedly, students with autism spectrum disorder (ASD) who attend college encounter unique challenges. These include aspects related to social contexts, anxiety, scheduling, relationships, organization, self disclosure, meeting deadlines, communication, friendships, isolation, decision making, and goal setting. In order to meet this need, California State University, Fullerton offers the peer assisted college support program (PACS) to students with ASD enrolled at the university. PACS is a peer supported mentoring model that assists culturally and linguistically diverse students with ASD in navigating the college campus  The aim of this paper is to provide a description of the PACS program at California State University, Fullerton as originally designed and then demonstrates how revisions were decided upon and implemented in light of participant and faculty feedback. A previous report highlighted the program structure and noted the short term and long term impacts  Information gathered from the program identified programmatic barriers; reflections and conclusions resulted in program revisions. Current enhancements include a newly revised online framework that is easily accessible and maintainable. Program outcomes, sustainable resources, timeline protocols, collaborative university/district partnerships, and guidelines are presented.
The predictive power to mathematical success of belief and reflective thinking for problem solving Problem cozmeye yonelik inanc ve yansitici dusunme becerisinin matematik basarisini yordama gucu
Year: 2018

It is known that variables such as attitudes, faith, self efficacy, critical thinking skills, reflective thinking skills are variables used to explain the students' mathematical success and the impact rates of these variables are not the same. In this study, students' predictive power towards mathematical achievements of faith and reflective thinking skills were investigated in terms of problem solving as corresponding to these variables. Relational search model was used in the research. The sample of the research is composed of 143 mathematics teacher candidates who are studying in the departmen of Elemantary Mathematics Teaching in a university. Regression analysis was done for predicting students' mathematical achievement by sub dimensions of belief about problem solving which are mathematical skill, mathematical situation, understanding problem, importance of mathematics, problem solving skills and sub dimensions of reflective thinking ability which are inquiry, evaluation and heuristics. Research findings show that these variables are about 18 percent of the total variance in mathematical success. It is considered that associating the conceptual and operational knowledge during the education periods in order to increase student success of students can affect the student success. Extended English summary is in the end of Full Text PDF (TURKISH) file Ozet Matematige yonelik tutum, inanc, oz yeterlilik algisi, elestirel dusunme becerisi, yansitici dusunme becerisi gibi degiskenlerin ogrencilerin matematik basarilarini aciklamada kullanilan degiskenler oldugu ve bu degiskenlerin etki oranlarinin ayni olmadigi bilinmektedir. Arastirmada bu degiskenlere karsilik gelecek sekilde problem cozme temali olarak ogrencilerin matematige karsi inanc ve yansitici dusunce becerilerinin matematiksel basarilarina olan yordama gucu incelenmistir. Arastirmada iliskisel tarama modeli kullanilmistir. Arastirmanin orneklemini, bir universitenin Ilkogretim Matematik Ogretmenligi bolumunde ogrenim gormekte olan 143 matematik ogretmen adayi olusturmaktadir. Problem cozmeye iliskin inancin alt boyutlari olan matematiksel beceri, matematigin yeri, problemi anlama, matematigin onemi ve problem cozme becerisi ile yansitici dusunme becerisinin alt boyutlari olan sorgulama, degerlendirme ve nedenleme degiskenlerine gore ogrencilerin matematik basarisinin yordanmasina yonelik regresyon analizi yapilmistir. Arastirmada bu degiskenlerin birlikte matematik basarisindaki toplam varyansin yaklasik %18'ini acikladigi sonucu bulunmustur. Ogrenci basarisinin artirilmasi amaciyla ogrencilerin ogrenimleri suresince kavramsal ve islemsel bilginin birbirine yakin bir sekilde iliskilendirilmesinin ogrenci basarisini etkileyebilecegi dusunulmektedir.
A importancia da situacao concreta para a devida identificacao da discricionariedade
Year: 2020

Unprepared, in a not insignificant number, Brazilian public agents are unaware of the distinction between law and norm, ignore the techniques of legal interpretation and, when integrating the norm, disregard the concrete situations to be addressed. As a result, they are unable to identify the existence of discretion and its limits. They do not make an objective assessment of the concrete (or real) case that requires a solution whose performance is the responsibility of the State (concrete reason of de administrative procedures) and they extend the limits of a discretion that often doesn't exist. However, inaptitude is not the only obstruction of the public interest due satisfaction, there are other impediments: imprudence or rashness, hurry, indolence, personal vanity, adherence to individual power, carelessness, avidity, covetousness and corruption. The bad public administrators that damage advisedly the society dispute with those who damage inadvertently the collectivity. Public agents must know how to interpret the norms, but they must interpret also the concrete cases (concrete reasons of de administrative fulfilments) because both interpretations are important to identify the true limits of administrative discretion. In each individual concrete case, the discretion is lesser than it were in the norm in thesis, furthermore the administrative discretion manifests itself in a different way as the legally relevant peculiarities of each situation to be met.
Extended dissipative synchronization for semi Markov jump complex dynamic networks via memory sampled data control scheme
Venue: J. Frankl. Inst.
Year: 2020

The work is concerned with the synchronization issue of complex dynamic networks subject to the semi Markov process. The semi Markov process is used to describe the switching among different modes of network topology. Meanwhile, a constant signal transmission delay is considered in the sampled data controller when dealing with the synchronization problem. The main purpose is to design a novel memory sampled data control scheme to ensure the synchronization of the master slave system. With the help of some improved integral inequality techniques, several sufficient conditions are obtained to assure the error system achieves the stochastic stability and satisfies an extended dissipative performance index via constructing Lyapunov function. Finally, two simulation examples are given to verify the validity and superiority of the memory sampled data controller designed.
hyogwajeogeuro gibureul badgi wihan inganhyeong robosyi oehyeong dijain mic haengdonge gwanhan yeongu
Year: 2019

Robot ALICE@ERICA is a service robot developed to receive donations and to provide information services. ALICE@ERICA stands for Artificial Learning Intelligence robot for Culture and Entertainment at ERICA. In order to achieve the specific purpose of receiving donations, proper appearance design, appropriate movement and good communication skills are required in terms of HRI. In this paper, we introduce three strategies for developing robots to receive donations effectively. The first is to design a robot that makes people feel intimacy, the second is to approach only one of several people as a donor, and finally the donor communicates with video contents and voice recognition. A survey was conducted on the person who showed the reaction after the robot donated money in public places. Based on the survey results, it is proved that the method presented in this study effectively contributed to fund raising. If robots can perform actions that require high level of HRI, such as donation, robots can contribute more to human society. We hope that this study contributes to the improvement of human happiness.
Responsiveness in process calculi
Venue: Theor. Comput. Sci.
Year: 2008

A system guarantees responsive usage of a channel r if a communication along r is guaranteed to eventually take place. Responsiveness is important, for instance, to ensure that any request to a service be eventually replied. We propose two distinct type systems, each of which statically guarantees responsive usage of names in well typed pi calculus processes. In the first system, we achieve responsiveness by combining techniques for deadlock and livelock avoidance with linearity and receptiveness. The latter is a guarantee that a name is ready to receive as soon as it is created. These conditions imply relevant limitations on the nesting of actions and on multiple use of names in processes. In the second system, we relax these requirements so as to permit certain forms of nested inputs and multiple outputs. We demonstrate the expressive power of the two systems by showing that primitive recursive functions in the case of the first system and Cook and Misra's service orchestration language orc in the case of the second system can be encoded into well typed processes.
The Need for Screening, Assessment, and Treatment for Cognitive Dysfunction in Multiple Sclerosis: Results of a Multidisciplinary CMSC Consensus Conference, September 24, 2010.
Venue: International journal of MS care
Year: 2012

Cognitive dysfunction is observed in about half of people with multiple sclerosis (MS) and MS health care professionals face the challenge of screening, assessing, and treating patients for cognitive problems. Considering the inconsistent or limited empirical evidence to assist in this task, a multidisciplinary consensus conference of MS experts, sponsored by the Consortium of Multiple Sclerosis Centers (CMSC) was held on September 24, 2010, to address these issues. Key articles from the literature on these topics were distributed prior to the meeting, and CMSC member professionals were surveyed on clinical practices related to screening, assessment, and treatment for cognitive problems. The purpose of the meeting was threefold: 1) to achieve a multidisciplinary perspective on practices for screening, monitoring, evaluating, and treating MS patients for cognitive problems; 2) to propose consensus candidate measures for screening and/or monitoring for cognitive problems in MS that neurologists or nurses might administer on a regular basis; and 3) to propose consensus treatment approaches from a multidisciplinary perspective. This article summarizes the conclusions of the conference participants and provides preliminary suggestions for screening and brief assessment.
MetFlow: A New Efficient Method for Bridging the Gap between Markov Chain Monte Carlo and Variational Inference
Venue: ArXiv
Year: 2020

In this contribution, we propose a new computationally efficient method to combine Variational Inference (VI) with Markov Chain Monte Carlo (MCMC) This approach can be used with generic MCMC kernels, but is especially well suited to \textit{MetFlow} a novel family of MCMC algorithms we introduce, in which proposals are obtained using Normalizing Flows. The marginal distribution produced by such MCMC algorithms is a mixture of flow based distributions, thus drastically increasing the expressivity of the variational family. Unlike previous methods following this direction, our approach is amenable to the reparametrization trick and does not rely on computationally expensive reverse kernels. Extensive numerical experiments show clear computational and performance improvements over state of the art methods.
Comparative Estimate of the Resource Dependence of the Far Eastern Federal District Entities
Year: 2021

The paper is devoted to studying the issues of estimating the resource dependence of the RF constituent entities and classifying them as resource type regions. The methodological and technical approaches to determining and identifying the resource type regions and estimating their resource dependence have been reviewed. The approach and technique for estimating the resource dependence of regions have been proposed, based on the analysis of which, a criterion for classifying a subject as resource type regions identified. The state of the mineral resource base of the Russian Federation Far Eastern Federal District (FEFD) entities has been analyzed. According to the technique proposed, the resource dependence of the FEFD entities has been comparatively estimated based on the share of statistical indicators for the mining economic activity in the structure of the gross regional product (GRP) of an entity. Based on the analysis of the results obtained, the criteria for classifying entities as resource type regions have been determined, according to which the FEFD entities classified.
One year sobriety improves satisfaction with life, executive functions and psychological distress among patients with polysubstance use disorder.
Venue: Journal of substance abuse treatment
Year: 2017

Polysubstance use disorder is prevalent in treatment seeking patients with substance use disorder (SUD) with a higher risk of developing comorbid psychiatric symptoms, more pervasive deficits in cognitive functions, and inferior treatment results. The present study investigates if individuals with polysubstance use disorder who achieve at least one year of abstinence show greater improvements in satisfaction with life, executive functions, and psychological distress, compared to relapsers and controls. The prospective recovery from polysubstance use disorder assessed with broad output indicators remains understudied. A better understanding of the pattern of recovery of the chosen output indicators could shed light on the recovery process for this group of patients.  We investigated changes in satisfaction with life, executive functions and psychological distress over a period of 12months in patients who remained abstinent and in those who relapsed. Subjects with polysubstance use disorder (N=115) were recruited from outpatient and residential treatment facilities; healthy controls (N=34) were recruited by posters exhibited at social welfare and GP offices. Executive functions were assessed by the Behaviour Rating Inventory of Executive Function Adult self report version (BRIEF A) psychological distress by the Symptom Checklist 90 R (SCL 90 R) and satisfaction with life by the Satisfaction With Life Scale (SWLS) Substance use was assessed by self reports on the Alcohol Use Disorders Identification Test (AUDIT) and the Drug Use Disorders Identification Test (DUDIT) Participants were categorized as "relapsers" if they had AUDIT score =8, or DUDIT score =2 for women and =6 for men.  Results indicated that the abstinent group had the greatest improvement on all the indicators compared with relapsers and controls. Participants who successfully quit substance use for one year showed improved satisfaction with life, executive functions, and psychological distress compared to participants who relapsed and controls.  Our study provides support for the view that there is a clinically and statistically significant recovery of satisfaction with life, executive functions, and psychological distress for SUD patients following one year of abstinence. This knowledge highlights the importance of time and continued abstinence. Our findings suggest that a gradual and careful step up of learning requirement should be adopted, and SUD treatment should initially focus on stabilizing the patient and achieving abstinence, while interventions for co morbid problems and more cognitively demanding treatment components are more likely to succeed later in the treatment sequence.
Identification of type 2 diabetes loci in 433,540 East Asian individuals
Venue: Nature
Year: 2020

Meta analyses of genome wide association studies (GWAS) have identified more than 240 loci that are associated with type 2 diabetes (T2D) 1 2 however, most of these loci have been identified in analyses of individuals with European ancestry. Here, to examine T2D risk in East Asian individuals, we carried out a meta analysis of GWAS data from 77,418 individuals with T2D and 356,122 healthy control individuals. In the main analysis, we identified 301 distinct association signals at 183 loci, and across T2D association models with and without consideration of body mass index and sex, we identified 61 loci that are newly implicated in predisposition to T2D. Common variants associated with T2D in both East Asian and European populations exhibited strongly correlated effect sizes. Previously undescribed associations include signals in or near GDAP1 PTF1A SIX3 ALDH2 a microRNA cluster, and genes that affect the differentiation of muscle and adipose cells 3 At another locus, expression quantitative trait loci at two overlapping T2D signals affect two genes NKX6 3 and ANK1 in different tissues 4 6 Association studies in diverse populations identify additional loci and elucidate disease associated genes, biology, and pathways. A meta analysis of genome wide association study data from 77,418 individuals of East Asian ancestry with type 2 diabetes identifies novel variants associated with increased risk of type 2 diabetes.
Synergetic coupling large scale plate type acoustic metamaterial panel for broadband sound insulation
Venue: Journal of Sound and Vibration
Year: 2019

In the field of low frequency noise control, the locally resonant membrane and plate type acoustic metamaterials (PAMMs) have received extensive attention from researchers due to its sub wavelength thickness and low surface density properties. However, the existing research works mainly focus on the sound transmission loss (STL) of small sized unit cells with the fixed boundary, resulting in that the sound insulation performances are great different from those of the large scale structures used in engineering applications. For this reason, a square large scale PAMM panel with side length of 0.704 m, which consists of a periodic array of square unit cells, is numerically studied under the normal incidence condition. The results show that the large scale PAMM panels appear the obvious STL peak ~38 dB) in the low frequency range. Moreover, the goal of broadband sound insulation based on the multi cells synergetic coupling is realized by reasonably arranging the masses on the metamaterial panels. Numerical results indicate that a broadband insulation with average STL higher than 20 dB is obtained in the range of 300 900 Hz. Finally, a simplified experimental setup based on the box and semi anechoic chamber is designed to verify the sound insulation performance, and the experiment under standard reverberation chamber and semi anechoic chamber is performed in order to evaluate the sound insulation capability in the actual reverberation noise environment. The ideal periodic boundary is used in the numerical calculations, which is obviously different from the boundary condition in experiments. Therefore, the influence of the boundary condition on the STL is discussed and analyzed by calculating the STL of the metamaterial panels with different number of cells. The proposed design methods and results can provide some guidance for the application of the PAMM panels in practical engineering.
Mind your mindset. An empirical study of mindset in secondary vocational education and training
Venue: Educational Studies
Year: 2019

Mindset plays a pivotal role in academic achievement. In particular, a growth mindset is related to academic success. This study explored the role of mindset in Secondary Vocational Education and Training (VET) Participants were 1005 VET students attending eight different vocational programmes on three qualification levels in the rural southwest of the Netherlands. They filled out an online questionnaire that was combined with the school administration system for demographical information and school results. Results showed that 13.9% of the participants had a fixed mindset, 47.3% a growth mindset, and 38.8% a mixed mindset. Our findings indicate that VET students' mean mindset does not substantially differ from the mindset of students in other forms of education. However, the majority of VET students does not have a growth mindset and mindset and academic achievement seem to be unrelated.
Limit analysis of RSC control for DFIG based wind turbines with asymmetrical faults
Year: 2012

For doubly fed induction generator(DFIG) based wind turbines,the low voltage ride through(LVRT) capabilities of different rotor side converter(RSC) control methods vary depending on the specific RSC control methods.However,there is a limit for RSC control methods due to the limited voltage output of the RSC.The control limit for asymmetrical voltage dips is analyzed using an optimal RSC control method based on optimal control theory to minimize the rotor current.The RSC control limit for asymmetrical faults is obtained and the LVRT capabilities of RSC control methods are evaluated.Finally,a typical 1.5 MW DFIG based wind turbine is used to analyze the limits of RSC control for three types of asymmetrical voltage dips.The results show that for the same voltage dip depth,phase to phase faults are the most difficult to ride through,while single phase to ground faults are the easiest.
MOTHER'S KNOWLEDGE AND PARTICIPATION IN MEASLES RUBELLA (MR) IMMUNIZATION FOR TODDLERS
Year: 2020

Measles rubella (MR) immunization is to provide immunity against measles and rubella. To reduce measles and rubella, the government carried out the MR immunization campaign. The target of MR immunization achievement is at 95% however,  The purpose of this study was to determine the determinant factor as participation in MR immunization for toddlers. This analytic survey used a cross sectional study design. The population was mothers who had toddlers with a sample of 86 respondents taken by proportional random sampling technique. The instrument used was a questionnaire. Data processing was analyzed by bivariate and multivariate using chi square test and logistic regression. The results of the bivariate analysis showed factors related to MR immunization, namely knowledge (p 0.003) level of education (p 0.006) and attitude (p 0.006) while employment (p 0,222) and number of children (p 0,160) were not related to MR immunization and the most influential variable was the level of knowledge with p value 0.009 and OR 0.28. It can be concluded that knowledge, education and attitude are related to maternal participation in MR immunization with the most influential variable being knowledge. Therefore, there needs to be innovation in providing counseling to mothers and families about the importance of MR immunization.
Em Based Point to Plane ICP for 3D Simultaneous Localization and Mapping
Venue: Int. J. Robotics Autom.
Year: 2013

D simultaneous localization and mapping (SLAM) is a very impor tant issue in autonomous robotics. One of the popular algorithms applied as a frontend of SLAM is iterative closest point (ICP) In this paper, the ICP is modelled into a probabilistic framework including both pose estimation and data association steps using expectation maximization (EM) The result derived is that the solu tion converges to a local minimum if both pose estimation and data association steps employ the same metric. Hence, the measurement model which determines the form of the metric should be the key factor of the algorithm. Then, the point to point, point to plane and plane to plane are analysed in form of their measurement model, which reveals their description of the connection between two scans. Based on analysis, an improvement on point to plane measurement model is presented by estimating the covariance of each plane to relax the model assumption of ICP using eigenvalue decomposition, hence achieving a better solution. The following experiments show a satisfactory performance of the proposed algorithm, in agreement with the theoretic results.