nils-herrmann/clean_scirepeval huggingface dataset:
Perceptions of Bilingual Education Model in Spain: How to Implement a Bilingual Education Model in Turkey

The main target of the study is to examinethe bilingual education program in the Basque Country, and identify whether or not their bilingual education can be implemented in Turkey. In thisresearch study, we used a qualitative method including data collection through an open ended survey and interview that illustrates the issues surrounding bilingual education in the Basque region. The survey and interviewencompassed30 participants from K 12 teachers and the scholars in the Basque Country. The participants' answers from both survey and interviewwere gathered and analyzed. The researcher coded emergent themes in the survey and interview. According to results, the Basque region over the last decade has established a bilingual education model, which offers multiple options for the linguistic study of the Basque language, and this model is still a reputable ongoing bilingual education system. Since Turkey and Spain historically and politically have many similarities, the Basque bilingual model can be implemented in Turkey as well.
Green Education Concepts Strategies in Higher Education Model

Green Education in the service sector is expected to transform education sector and is combined with the trend of world economy development. Environmental benefits and sustainability are two characteristics of Green education. In the green education model, service is expanded as, what kinds of education is provided by organizations (the process of service creation) how such services are transferred to the customers, how will the benefits be captured by providers around service (value realization) Education services are also working towards achieving green and being environmental friendly. Growth or learning will only take place in an environment which is conducive for development in children's life. Academicians, administrators, students need to incorporate awareness and adoption of environmentally friendly practices in the learning process. The culture of conservation has to be an integral part of the curriculum. The tools and techniques along with eco friendly building and equipment have to be used in the teaching learning process.The future generations should be able to understand and protect natural resources and in that process protect human health by being environmental initiators. In this paper, we have analysed and discussed how Education sector can transform themselves into Green Education in terms of their opportunities and challenges by considering advents in technology and readiness of the learners. Opportunities to go green, Challenges to go green, the consequences of going green, and sustainability of education sector by technology adoption are also discussed.
Volumetric analysis of the diagonal band of Broca in patients with schizophrenia and affective disorders: A post mortem study
Venue: Clinical anatomy

The human diagonal band of Broca is connected to other parts of the limbic system, such as the hippocampus, that are involved in the pathology of schizophrenia. This study aimed to characterize the volume and anterior to posterior distance of the human diagonal band of Broca (vertical limb) from post mortem brains obtained from three groups: healthy control subjects (N 17) patients with schizophrenia (N 26) and patients with affective disorders (N 12) There were no significant differences in the volume or anterior to posterior distance in the patients with schizophrenia or affective disorders compared with the healthy control subjects. To date, this is the first post mortem investigation measuring the volume and the anterior to posterior distance of the diagonal band of Broca (vertical limb) in patients with schizophrenia or affective disorders compared with healthy control subjects.
Analiza socjometryczna w ocenie grupy spolecznej i budowaniu zespolu sportowego Sociometry in the assessment of social group and sport team building

Sociometry as a research method has been widely used both in sociology and social psychology, especially for assessment and measurement of power structures, cooperation and communication between units of the small population and the cohesion of specific social groups. The main purpose of such action is to evaluate the direction and forces of "attraction and rejection" relations that exist between the representatives of such groups. In sports, especially team disciplines (that correspond to the assumptions of small social groups) interpersonal relationship factor is very important in building of a team structure and thus that to create the right conditions to achieve high goals. Knowledge of informal social structure of sport team can be a valuable source of information for conscious coach to use. With knowledge about the factors influencing on interpersonal relations, it is possible to affect on them and eliminate unwanted behaviors. Moreover, thanks to the conscious shaping and monitoring the proper attitudes in team trainer is able to improve the interpersonal situation of a single player. By doing this the general atmosphere within the team will improve which has been found in numerous studies to correlate with in the effectiveness of team activities in achieving high goals.
Reactive Power Control In Electric Systems

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Global Electric Heterogeneity Risk Score for Prediction of Sudden Cardiac Death in the General Population: The Atherosclerosis Risk in Communities (ARIC) and Cardiovascular Health (CHS) Studies
Venue: Circulation

Asymptomatic individuals account for the majority of sudden cardiac deaths (SCDs) Development of effective, low cost, and noninvasive SCD risk stratification tools is necessary.  Participants from the Atherosclerosis Risk in Communities study and Cardiovascular Health Study (n=20 177; age, 59.3+ 10.1 years; age range, 44 100 years; 56% female; 77% white) were followed up for 14.0 years (median) Five ECG markers of global electric heterogeneity (GEH; sum absolute QRST integral, spatial QRST angle, spatial ventricular gradient [SVG] magnitude, SVG elevation, and SVG azimuth) were measured on standard 12 lead ECGs. Cox proportional hazards and competing risks models evaluated associations between GEH electrocardiographic parameters and SCD. An SCD competing risks score was derived from demographics, comorbidities, and GEH parameters. SCD incidence was 1.86 per 1000 person years. After multivariable adjustment, baseline GEH parameters and large increases in GEH parameters over time were independently associated with SCD. Final SCD risk scores included age, sex, race, diabetes mellitus, hypertension, coronary heart disease, stroke, and GEH parameters as continuous variables. When GEH parameters were added to clinical/demographic factors, the C statistic increased from 0.777 to 0.790 (P=0.008) the risk score classified 10 year SCD risk as high >5% in 7.2% of participants, 10% of SCD victims were appropriately reclassified into a high risk category, and only 1.4% of SCD victims were inappropriately reclassified from high to intermediate risk. The net reclassification index was 18.3%  Abnormal electrophysiological substrate quantified by GEH parameters is independently associated with SCD in the general population. The addition of GEH parameters to clinical characteristics improves SCD risk prediction.
Vibration Analysis of a Coupled Multibody Dynamic Model of a Contact Mechanics Roller Rig

This study develops a detailed multi body dynamic model of the Virginia Tech Roller Rig (VTRR) using multi body simulation software package SIMPACK. The Virginia Tech Roller Rig, a single wheel roller rig with vertical plane roller configuration, is a state of the art testing fixture for experimental investigation of wheel rail contact mechanics and dynamics. In order to have a better understanding of the dynamics at the contact, dynamic behavior and interaction of various components and subsystems of the rig need to be understood. In addition, it is essential to make sure that the measurements are only due to particular subject of study and not any intermittent source of disturbance. Any unwanted vibration at the contact needs to be compensated in the data measurements. To this end, a fully detailed model of the rig including all the components is developed in SIMPACK. The coupled multibody dynamic model represents all the major components of the rig and their interactions. The multibody dynamic model is employed for conducting noise, vibration, harshness (NVH) analysis of the rig. An Eigenvalue analysis provides the modal frequencies and mode shapes of the system. The modal analysis predicts the first natural frequency of the rig to be approximately 70 Hz, providing a relatively high bandwidth for evaluating the dynamics at the wheel rail interface. Only dynamic that could have higher frequencies than the rig's bandwidth is wheel rail squeal. The model is also used to evaluate the performance of the contact force measurement system designed for the rig. The results show that the contact forces can be estimated precisely using the force measurement system.
Culture's consequences: Economic barriers to owning mobile phones experienced by women in India
Venue: Telematics Informatics

This study broadens our understanding of the gender digital divide in India.Cultural factors create economic barriers for Indian women to own a mobile phone.Financially independent women cannot own some of the most inexpensive mobile phones. Economic barriers play the most significant role in precluding women from owning ICTs in developing nations. This qualitative study explores the factors responsible for creating economic barriers for 245 women in India, which prevent them from owning a mobile phone. Study findings reveal the specific ways in which cultural factors like (i) the long power distance between men and women, (ii) the gender role defined by Indian society for women, (iii) women's attitudes of avoiding uncertainty, and (iv) collectivistic practices, create economic barriers for the financially independent study participants. Due to the unfair economic disadvantages generated by the above cultural factors, it becomes challenging for the participants earning a little less than $2 a day to own some of the least expensive mobile phone handsets worth $15 or so on installments of $1 a month.
Customer equity and value management of global brands: Bridging theory and practice from financial and marketing perspectives: Introduction to a Journal of Business Research Special Section

Academics and practitioners show much interest in the topic of customer value management (CVM) using customer level data to drive customer behavior and customer acquisition and retention decisions in order to optimize the total value of current and future customers. With the incredible growth in data availability and data analytic capabilities, CVM is now a reality for many firms who use it to implement and extend their customer relationship management (CRM) programs. This Special Section gathers several state of the art research studies on CVM, providing a statement of our theoretical knowledge of this topic at this time as well as a foundation to guide future CVM research studies.
An Application of Six Sigma to Reduce Supplier Quality Cost

This article presents an application of Six Sigma to reduce supplier quality cost in manufacturing industry. Although there is a wider acceptance of Six Sigma in many organizations today, there is still a lack of in depth case study of Six Sigma. For the present research the case study methodology was used. The company decided to reduce quality cost and improve selected processes using Six Sigma methodologies. Regarding the fact that there is a lack of case studies dealing with Six Sigma especially in individual manufacturing organization this article could be of great importance also for the practitioners. This paper discusses the quality and productivity improvement in a supplier enterprise through a case study. The paper deals with an application of Six Sigma define measure analyze improve control methodology in an industry which provides a framework to identify, quantify and eliminate sources of variation in an operational process in question, to optimize the operation variables, improve and sustain performance viz. process yield with well executed control plans. Six Sigma improves the process performance (process yield) of the critical operational process, leading to better utilization of resources, decreases variations and maintains consistent quality of the process output.
The total cost of logistics in supplier selection, under conditions of multiple sourcing, multiple criteria and capacity constraint

Article history: Received June 25, 2015 Received in revised format: October 12, 2015 Accepted December 15, 2015 Available online December 17 2015 This paper presents a mathematical model to solve a multi objective decision making supplier selection problem. The proposed problem considers three objective functions: the first objective function minimizes the cost of purchasing the products while the second objective function minimizes the due dates and finally the third objective function maximizes the customer satisfaction. The resulted problem is formulated as mixed integer programming and, therefore, we use invasive weed optimization technique to solve the resulted problem. The performance of the proposed model is compared with NSGA II based on different criteria such as mean ideal distance and quality matrix. The preliminary results indicate that the proposed model performs relatively well compared with alternative method.  (c) 201
Associations of Preventive Strategies with Symptoms of Eye Strain among Sukhothai Thammathirat Open University Staff in Thailand

Eye strain or asthenopia is a public health problem that affects more than two thirds of all computer users globally. This cross sectional study was designed to: (1) determine the prevalence of eye strain in computer user staff at Sukhothai Thammathirat Open University (STOU) (2) assess the extent to which strategies used by the computer user staff and whether they were associated with eye strain prevention.  Between January and February 2014, Proportional stratified random sampling was used to select 300 study participants in 11 offices of Sukhothai Thammathirat Open University, Thailand. A total of 295 (98.3% response rate) computer user staff completed a self administered, validated questionnaire, including demographic characteristics, computer and work environment, strategies for eye care, and presence of eye strain symptoms. Data analysis was conducted to assess associations of adjusting computer and monitor, taking regular rest breaks, doing eye exercise, improving computer workstation, improving work environment, and reducing personal risk factors (i.e. get enough sleep, drink enough water, and regular eye exams) with symptoms of eye strain.  (1) The prevalence of eye strain was very high, 84.7% (250 participants. Average age was 42 9.31, and 231 (78.3% were female. Worked with computer 3 or more hours per day were reported by 274 (92.9% of the respondents. Majority of the respondents 261 (88.5% used desktop computers. Nearly 70% of respondents (204) reported that their computer workstation were suitable, and 263 (89.2% reported that lighting in work area were appropriate. (2) Binary logistic regression analysis indicated that taking regular rest breaks (OR 0.37; 95% CI 0.18 0.79) and doing eye exercise during computer use (OR 0.07; 95% CI 0.03 0.16) had a significant association with a lower rate of eye strain.  These findings indicate the need for awareness of eye strain, and for research to identify strategies to prevent/reduce eye strain in computer users, especially in educational institutions where computers are widely used.
Digital Eye Strain Reduction Techniques: A Review

Digital eye strain or computer vision syndrome (CVS) is caused when we spend considerable amount of time in staring at digital screens of desktop computer, laptop, e readers, tablets and mobile phones. This paper discusses the different the causes for visual fatigue and digital eye strain reduction techniques like usage of optical glass, flicker free screen, color filtering, fuzzy logic based brightness adaption technique, bias lighting screens, optimizing monitor's color temperature and Auto brightness control of digital screen. The paper also discusses the good practices to reduce visual fatigue. KeywordsDigital eye strain, computer vision syndrome, eye strain reduction, colour filtering, visual fatigue, fuzzy logic
Exploring the Neural Algorithm of Artistic Style
Venue: ArXiv

We explore the method of style transfer presented in the article "A Neural Algorithm of Artistic Style" by Leon A. Gatys, Alexander S. Ecker and Matthias Bethge () We first demonstrate the power of the suggested style space on a few examples. We then vary different hyper parameters and program properties that were not discussed in the original paper, among which are the recognition network used, starting point of the gradient descent and different ways to partition style and content layers. We also give a brief comparison of some of the existing algorithm implementations and deep learning frameworks used. To study the style space further we attempt to generate synthetic images by maximizing a single entry in one of the Gram matrices \mathcal{G}_l$ and some interesting results are observed. Next, we try to mimic the sparsity and intensity distribution of Gram matrices obtained from a real painting and generate more complex textures. Finally, we propose two new style representations built on top of network's features and discuss how one could be used to achieve local and potentially content aware style transfer.
Improving the Neural Algorithm of Artistic Style
Venue: ArXiv

In this work we investigate different avenues of improving the Neural Algorithm of Artistic Style [7] While showing great results when transferring homogeneous and repetitive patterns, the original style representation often fails to capture more complex properties, like having separate styles of foreground and background. This leads to visual artifacts and undesirable textures appearing in unexpected regions when performing style transfer. We tackle this issue with a variety of approaches, mostly by modifying the style representation in order for it to capture more information and impose a tighter constraint on the style transfer result. In our experiments, we subjectively evaluate our best method as producing from barely noticeable to significant improvements in the quality of style transfer.
A temporally coherent neural algorithm for artistic style transfer
Venue: 2016 23rd International Conference on Pattern Recognition (ICPR)

Within the fields of visual effects and animation, humans have historically spent painstaking hours mastering the skill of drawing frame by frame animations. One such animation technique that has been widely used is called "rotoscoping" and has allowed uniquely stylized animations to capture the motion of real life action sequences. Automating this arduous process would free animators from performing frame by frame stylization to concentrate on artistic contributions. We introduce a new artificial system based on an existing neural style transfer method which creates artistically stylized animations that simultaneously reproduce both the motion of the original videos that they are derived from and the unique style of a given artistic work. This system utilizes a convolutional neural network framework to extract a hierarchy of image features used for generating images that appear visually similar to a given artistic style while at the same time faithfully preserving temporal content. The use of optical flow allows the combination of style and content to be integrated directly with the apparent motion over frames of a video to produce smooth and visually appealing transitions. This implementation demonstrates how biologically inspired systems such as convolutional neural networks are rapidly approaching human level behavior in tasks that were once thought impossible. Further, this research provides unique insights into the way that humans who produce artistically stylized animations perceive temporal information.
Neural Style Representations and the Large Scale Classification of Artistic Style
Venue: ArXiv

The artistic style of a painting is a subtle aesthetic judgment used by art historians for grouping and classifying artwork. The recently introduced `neural style' algorithm substantially succeeds in merging the perceived artistic style of one image or set of images with the perceived content of another. In light of this and other recent developments in image analysis via convolutional neural networks, we investigate the effectiveness of a `neural style' representation for classifying the artistic style of paintings.
Preserving Color in Neural Artistic Style Transfer
Venue: ArXiv

This note presents an extension to the neural artistic style transfer algorithm (Gatys et al. The original algorithm transforms an image to have the style of another given image. For example, a photograph can be transformed to have the style of a famous painting. Here we address a potential shortcoming of the original method: the algorithm transfers the colors of the original painting, which can alter the appearance of the scene in undesirable ways. We describe simple linear methods for transferring style while preserving colors.
Generalized Local to Global Shape Feature Detection Based on Graph Wavelets
Venue: IEEE Transactions on Visualization and Computer Graphics

Informative and discriminative feature descriptors are vital in qualitative and quantitative shape analysis for a large variety of graphics applications. Conventional feature descriptors primarily concentrate on discontinuity of certain differential attributes at different orders that naturally give rise to their discriminative power in depicting point, line, small patch features, etc. This paper seeks novel strategies to define generalized, user specified features anywhere on shapes. Our new region based feature descriptors are constructed primarily with the powerful spectral graph wavelets (SGWs) that are both multi scale and multi level in nature, incorporating both local (differential) and global (integral) information. To our best knowledge, this is the first attempt to organize SGWs in a hierarchical way and unite them with the bi harmonic diffusion field towards quantitative region based shape analysis. Furthermore, we develop a local to global shape feature detection framework to facilitate a host of graphics applications, including partial matching without point wise correspondence, coarse to fine recognition, model recognition, etc. Through the extensive experiments and comprehensive comparisons with the state of the art, our framework has exhibited many attractive advantages such as being geometry aware, robust, discriminative, isometry invariant, etc.