Reviewerly/exHarmony huggingface dataset:
Preferences (Attitudes and Preferences of Vegetables) of School Children Reviewed from knowledge

However, in reality there are not many children who want to consume vegetables and fruits. The low consumption of vegetables and fruit in school children is due to multifactor. This study aims to determine the relationship of knowledge with preference (attitudes and preferences of vegetables). The design of the observational study using a cross sectional design.The population in this study were all children found in Yayasan Eleos Sukodadi Village, Wagir Sub-District, Malang Regency, with 57 children, with total sampling. The instrument uses 3 questionnaires with a total of 34 questions. Analysis of data to determine the relationship between preference knowledge (preferences and attitudes) of vegetables and fruit using rank spearman test.The results of the study show that most school children have sufficient knowledge (63,2%) and half of the respondents have good preferences (50.9%). The statistical test showed that there was no relationship between knowledge and vegetable preferences in school children
Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis

We study the problem of learning the structure of an optimal Bayesian network when additional constraints are posed on the network or on its moralized graph. More precisely, we consider the constraint that the network or its moralized graph are close, in terms of vertex or edge deletions, to a sparse graph class $\Pi$. For example, we show that learning an optimal network whose moralized graph has vertex deletion distance at most $k$ from a graph with maximum degree 1 can be computed in polynomial time when $k$ is constant. This extends previous work that gave an algorithm with such a running time for the vertex deletion distance to edgeless graphs [Korhonen & Parviainen, NIPS 2015]. We then show that further extensions or improvements are presumably impossible. For example, we show that learning optimal networks where the network or its moralized graph have maximum degree $2$ or connected components of size at most $c$, $c\ge 3$, is NP-hard. Finally, we show that learning an optimal network with at most $k$ edges in the moralized graph presumably has no $f(k)\cdot |I|^{O(1)}$-time algorithm and that, in contrast, an optimal network with at most $k$ arcs can be computed in $2^{O(k)}\cdot |I|^{O(1)}$ time where $|I|$ is the total input size.
RESULTS OF APPROBATION OF THE TRAINING PROGRAM FOR DEVELOPING SELF-REGULATED STUDENT ACTIVITY IN THE PROCESS OF METACOGNITIVE MONITORING

The article has been devoted to theoretical and methodological study of the issue of development of self-regulated student learning activity in the process of metacognitive monitoring, and empirical approbation of the own developed training program for increasing the efficiency of such learning activity. The purpose of our research was to justify the use and to develop the optimal training program for optimization of the process of metacognitive monitoring of student self-regulated learning through a forming impact on the indicators of self-regulation at individual-personal, motivational-volitional, cognitive and metacognitive levels.&nbsp; Approbation of the training program of student self-regulated learning and verification of its efficiency was conducted in three phases: 1) ascertaining (determining the reliability of metacognitive monitoring of self-regulated learning before the training); 2) forming (conducting the training program); 3) controlling (determination of the differences in reliability of metacognitive monitoring of self-regulated learning before and after the training program). The implementation of ascertaining phase combined a procedure of laboratory and natural experiments for identification of correlation between the components of the levels of self-regulated learning in the process of metacognitive monitoring, and for identification of the level of development of relevant individual-personal, motivational-volitional, cognitive and metacognitive levels characteristics of students. Forming experiment consisted in conduction of the training program for developing the components of student self-regulated learning at individual-personal, motivational-volitional, cognitive and metacognitive levels. The procedure of controlling phase was identical the one of the ascertaining phase. For determining the intergroup differences between the indicators of self-regulated learning in the process of metacognitive monitoring, we conducted the correlation analysis with the use of Student’s t-test and Fischer criterion. The results of the forming experiment have allowed us to conclude that the efficiency level of student self-regulated learning in the process of metacognitive monitoring can be improved by the use the appropriate psychological and pedagogical conditions, ensuring the development of the relevant indicators at individual-personal, motivational-volitional, cognitive and metacognitive levels. The results of implementation of the special training program for improving the efficiency of student self-regulated learning based on the relevant author’s structural and functional models of student self-regulated activity have proved the significant changes in the experimental group in accordance to all the selected criteria. &nbsp
A Study on the High School French Performance Assessment

This study aims to explore the current situation and specifics as well as teacher understanding of the performance assessment that exists at the center of the current curriculum assessment, which was revised in 2015. The results of a survey of 35 high school French teachers and 14 of the respondents’ assessment plans are as follows. Firstly, although the application of the French-language performance assessment (measured in percentage) has increased, the assessment does not seem to function as an assessment of higher order thinking due to the students’ limited French ability. Secondly, French teachers are positively aware of the performance assessment, and they attempt to optimize its proper function. In particular, assessments in the cultural areas are conducted for the aspects of creativity, logical thinking, and justice. Thirdly, the greatest difficulty teachers face in terms of implementing the performance assessment is securing objectivity and fairness; this is followed by teachers having to manage an increase in tasks such as grading. Lastly, the study demonstrates that the assessment of different performance areas by their respective teachers can be a significant issue given the potential for error in classifying areas and the lack of feasibility with respect to assessment standards. This seems to be an urgent issue for which a solution should be prioritized, especially in light of the fact that college admissions based on performance evaluations are set to be officially implemented.
An Enhanced FPGA-based Implementation of Fuzzy Controller using a Personalized Microcontroller

Fuzzy controllers are known as one of the most useful controllers in the industry. Fuzzy controllers have significant characteristics such as simple structure and being imprecision in input variables. The mentioned features would be more indispensable in the nonlinear system, especially in DC motors. Field Programmable Gate Arrays (FPGAs) are one of the equipment for implementing fuzzy controllers. FPGAs have brilliant privileges such as high speed in mathematical computation and doing tasks simultaneously. Although doing tasks as pipeline provide an excellent opportunity for increasing the speed of circuits, it creates a hard situation for implementing a control unit to control the other blocks (such as blocks used in the fuzzy controller of DC motors, which encompass several computational blocks). This paper firstly focuses on the structure of a fuzzy controller for DC motors, which are implemented on FPGA optimally. Secondly, an optimized controller, based on a personalized microcontroller, introduced for managing the data flow and the outputs of computational blocks of a fuzzy controller that is implemented in FPGA. The proposed microcontroller significantly reduces the complexity and time needed for implementing a fuzzy controller on FPGA.
PERFORMANCE EFFICIENCY OF THE TEACHER EDUCATION PROGRAMS OF A STATE UNIVERSITY IN THE PHILIPPINES: A DATA ENVELOPMENT ANALYSIS STUDY

The performance efficiency of the Teacher Education Programs in seven campuses of the Pangasinan State University in terms of their intellectual capital (faculty and students) and governance (curriculum, administration, research and extension) from Academic Year 2012-2013 to Academic Year 2014-2015 was determined through Data Envelopment Analysis (DEA). This tool utilizes multiple input and output factors in measuring the comparative efficiency of decision-making units (DMUs). Specifically, it sought to answer the following: performance efficiency of the Teacher Education Programs (TEPs); peer groups (reference for improvement) and weights (percentage to be adapted) by the TEPs; virtual inputs or outputs (potential improvements) of the TEPs to be in the efficient frontier; and the fully efficient TEPs with the best practices. Results of the study showed that the TEP of Bayambang Campus is fully efficient in all the performance indicators while the TEP of the Lingayen Campus is fully efficient in all indicators except in research. The TEPs of the rest of the Campuses (Binmaley, Infanta, San Carlos, Sta. Maria, and Urdaneta City) were found to be fully efficient in faculty, students, curriculum and administration. The TEPs consider the TEP of Bayambang Campus as their model for improvement while the percentages to be adapted by the TEPs for improvement vary from one Campus to another. Potential improvements in most of the TEPs are in research and extension. The TEP of the Bayambang Campus has the best practices in faculty, student, research and extension while Lingayens TEP has the best practice in curriculum and administration.
Data transformations from CMS to CDP enriched by semantics

Today’s users no longer expect a classic manual, but short, clearly structured pieces of information that fit their application context, use case and role. Instead of conventional documentation, “intelligent information” is required that is modular, format-neutral and can be found via metadata and full-text search. The information is often created in a CMS and provided via CDPs. There are not always compatible interfaces between these systems, especially those of different software manufacturers. Therefore, the information created cannot be processed further. The purpose of this paper is to show that data transformations can provide accessibility for the information from a CMS for different CDPs. On this basis, data transformations were developed, enriched by semantics and implemented within the project. For the enrichment by semantics, metadata were used as well as a further approach based on metadata, called “microDocs”. This approach describes the combination and aggregation of different topic-based information that are connected by defined use cases and a logical context. Some CDP manufacturers already support microDocs and it is expected that even more extensions will be implemented in the future. Accordingly, it is highly likely that microDocs will play an important role in the field of information delivery.
Sistem Informasi Database Sertifikat Keterampilan Kerja (SKTK) pada LPJKD Aceh berbasis Web

The purpose of this research is to design an application system that is able to record the Work Skills Certificate (SKTK) in LPJK Aceh Province so that it can improve performance in database processing activities at a better level of effectiveness and efficiency. System design used using the waterfall model can support the design of database information Work Skills Certificate (SKTK) in LPJKD Aceh based on the web with additional steps in documenting the software development process, as well as data collection techniques using research methods with observation, interviews, and studies literature. In developing applications that are used in various web programming languages and MySQL is used as a database media. The results of the study succeeded in building a database of Work Skills Certificate (SKTK) and have been implemented to users to get feedback about the prototype developed.Keywords:Job Skills Certificate System, LPJK, Web
Architecture Students’ Innovation Ability Training Multi-Dimensional Practice Platform Construction

The architecture major is very practical.In the teaching plan and curriculum setting, the importance of practical teaching to talent cultivation should be emphasized.Based on the analysis of the status quo of architecture practice teaching, this paper believes that the construction of multi-dimensional practice platform is a powerful guarantee to improve students' design practice ability and innovation ability.In addition to paying attention to the traditional practice teaching, the practice platform should also explore the construction of a practical platform under the cooperation of school-enterprise cooperation, BIM technology in the "Internet +" era, and the international platform model of architectural education.
Sistem Informasi Pencatatan Data Pelanggan pada Telkomsel Grapari Banda Aceh

The purpose of the research is to; 1) Generating a customer information system on Telkomsel GraPARI Banda Aceh, 2) To find out the application of the information system that has been built, and 3) Apply the system that was built using Visual Basic. This research was conducted at Telkomsel GraPARI Banda Aceh and conducted for 9 (nine) months of 2015-2016. The method used for system development, researchers use the methodology Rapid application development (RAD) and Data Flow Diagrams (DAD). This research has succeeded and completed the design of information systems for recording customer data at Telkomsel Grapari Banda Aceh, the application was built using the stages of the Rapid application development (RAD) model. The application was built using Visual BASIC and as a database using Microsoft Office Access. The application of the information system that has been built is still in the prototype and there is still a need for study and development of current technologies such as the use of mobile and cloud databases involving interconnection to make it easier for GraPARI units to connect.Keywords:Information Systems, Customer Data, Telkomsel
Microcluster-Based Incremental Ensemble Learning for Noisy, Nonstationary Data Streams

Data stream classification becomes a promising prediction work with relevance to many practical environments. However, under the environment of concept drift and noise, the research of data stream classification faces lots of challenges. Hence, a new incremental ensemble model is presented for classifying nonstationary data streams with noise. Our approach integrates three strategies: incremental learning to monitor and adapt to concept drift; ensemble learning to improve model stability; and a microclustering procedure that distinguishes drift from noise and predicts the labels of incoming instances via majority vote. Experiments with two synthetic datasets designed to test for both gradual and abrupt drift show that our method provides more accurate classification in nonstationary data streams with noise than the two popular baselines.
Recursive Machine Translation

Machine translation tools such as Google Translate are at best seen as useful approximators, rather than offering any literary potential. In this experiment and short methodological reflection, I use Google Translate to recursively translate Austrian poet Georg Trakl’s celebrated WWI poem, ‘Grodek’, between German and English, until the two versions stabilise. I am attentive to places in which the poem and its renderings are simplified and/or literary value may be lost, but also places in which new or unexpected renderings emerge. This is a preliminary foray, but I propose that the method of recursive machine translation offers a new way to explore the translation of literary texts—a timely proposal, given the increasing applications of computer programmes and machine learning both within the humanities and throughout wider literary culture.
Review on Phishing Sites Detection Techniques

Due to the rapid growth of the Internet, user interact with social network such as Facebook, Twitter, Linkedin and many more for communicate with each other.By using the unusual structure of the Internet, attacker set out new techniques, such as phishing, to lure the user to interact with the fake websites through social networks that appears similar to legitimate ones.The main motive behind this attack is to steal the sensitive information such as password, username, credit card details and many more details from the users.There are various platforms where phishing attack can occur like online payment sector, webmail, and financial institution, file hosting or cloud storage and many more.In this paper, presenting a comprehensive survey of phishing detection using different features of website and machine learning approach.
SLGAT: Soft Labels Guided Graph Attention Networks

Graph convolutional neural networks have been widely studied for semi-supervised classification on graph-structured data in recent years. They usually learn node representations by transforming, propagating, aggregating node features and minimizing the prediction loss on labeled nodes. However, the pseudo labels generated on unlabeled nodes are usually overlooked during the learning process. In this paper, we propose a soft labels guided graph attention network (SLGAT) to improve the performance of node representation learning by leveraging generated pseudo labels. Unlike the prior graph attention networks, our SLGAT uses soft labels as guidance to learn different weights for neighboring nodes, which allows SLGAT to pay more attention to the features closely related to the central node labels during the feature aggregation process. We further propose a self-training based optimization method to train SLGAT on both labeled and pseudo labeled nodes. Specifically, we first pre-train SLGAT on labeled nodes and generate pseudo labels for unlabeled nodes. Next, for each iteration, we train SLGAT on the combination of labeled and pseudo labeled nodes, and then generate new pseudo labels for further training. Experimental results on semi-supervised node classification show that SLGAT achieves state-of-the-art performance.
Privacy Protection Model for Location-Based Services

Solving the disclosure problem of sensitive information with the k-nearest neighbor query, location dummy technique, or interfering data in location-based services (LBSs) is a new research topic. Although they reduced security threats, previous studies will be ineffective in the case of sparse users or K-successive privacy, and additional calculations will deteriorate the performance of LBS application systems. Therefore, a model is proposed herein, which is based on geohash-encoding technology instead of latitude and longitude, memcached server cluster, encryption and decryption, and authentication. Simulation results based on PHP and MySQL show that the model offers approximately 10× speedup over the conventional approach. Two problems are solved using the model: sensitive information in LBS application is not disclosed, and the relationship between an individual and a track is not leaked.
How Can You Get Better at Learning a Foreign Language?

AGES: -Do you know how to speak a foreign language?Learning another language is fun and useful!It can help you when you travel to other countries, and it might also help you talk with people in your own country who do not speak your language.If you have ever tried learning another language, you might know that it is not always easy.One di cult part is learning the grammar-the rules for how words are put together to form sentences.In our study, we researched how to make it easier for people to learn the grammar of foreign languages.And the good news?It is like riding a bike: the more you actively practice, the better you get at it.So, leave your grammar book in the classroom, and go out into the real world to practice! WHY LEARN A FOREIGN LANGUAGE?Would you want to watch fireworks from the Ei el Tower?Millions of people visit this exciting destination each year, but did you know that it is in France, a country that speaks a di erent language than English?In the United States, where we live and where some of you may be kids.frontiersin.org
PLATFORM AND SYSTEMS FOR AUTOMATED VERIFICATION OF PROGRAMMING TASKS: ANALYSIS, SELECTION CRITERIA AND EXAMPLE OF APPLICATION

This article offers criteria and indicators for selecting systems and platforms for automated verification of programming tasks to train future IT professionals. The automated systems that are expedient to be used in the preparation of the students of IT profession are analyzed, namely: e-olymp, Algotester, Contester, PC2, NetOI Olympiad DOMjudge, ejudge, which are effectively used in the implementation of practical programming tasks in the framework of educational practice, independent working or preparing for a programming Olympiad. The study provides comparative characteristics of selected automated systems and platforms by defined criteria and indicators. 23 experts, who are scientific-pedagogical staff and have practical experience of training future specialists in the field of knowledge 12 «Information Technologies» in the specialties 121 «Software Engineering», 122 «Computer Sciences» and 123 «Computer engineering», were involved into the expert evaluation. Here is an example of using an ejudge automated system to train future IT professionals. 76 students of the 1st year of the Faculty of Information Technologies of the National University of Life and Environmental Sciences of Ukraine (NULES of Ukraine) were involved in the pedagogical research. The research identified technological criteria that should be followed when selecting systems and platforms for automated verification of programming tasks, namely: a clear interface; interactivity; conducting sports (olympic) programming competitions; possibility of self-registeration; compatibility with different programming languages; the possibility of multiple tasks; automatic code verification; development of personal skills (time management, communication) and convenience have been evaluated for each criterion by assigning a rank number.
Information Technology Issues in Nigeria

Based on our implementation of the World Information Technology (IT) Project survey, the three top organizational issues from the perspective of IT employees in Nigeria are: IT reliability and efficiency, business process reengineering, and business agility and speed to market. The top three technology issues are: cloud computing, mobile and wireless applications, and business intelligence/analytics. Nigerian IT employees are relatively satisfied with their jobs, and feel highly accomplished in terms of what they contribute to their organizations. Despite a perception of increased pressure from work, there is a moderate experience of work and family balance, even though some still experience burnout. The threat of job losses or outsourcing is low although job rotations are expected. On the whole, IT workers are relatively mobile and open to new opportunities in and outside of the IT industry.