Reviewerly/exHarmony huggingface dataset:
Socializing Habitual Healthy Lifestyle to Lower PrimaryStudents Using the Media of Sticky Notes Checklist to Developing Moral Judgment

Students inlower primary school require teachers’ and parents’ assistance to take care of their own body and one of the media that is used to help students in having a habitual healthy lifestyle is “Sticky Note Checklist”. The objective of this research is describe students’ habit after studying using Sticky Note Checklist Media at school. The research method used is qualitative method in which the researcher as an observer, interviewer and collects documentation related to lower primary students in SDN 1 Padamulya. The result of this research shows that Sticky Note Checklist Media helps student having a healthier lifestyle. The recommendation of this research requires follow-up from teachers in each grade level and collaboration with parents at home, and also a creatively variation of sticky note checklist media. Such habituation will result in them being able to regulate a healthy lifestyle and provide an understanding of how to choose according to the develop moral judgment and good economic concept.
Availability, accessibility and attitude of farming families about use of information and communication technology

Information and communication technologies (ICT) may be regarded as the combination of “Informatics technology” with other related technology, specifically communication technology. ICT can be utilized for providing accurate, timely, relevant information and services to the farmers, thereby facilitating an environment for more remunerative agriculture. The technology revolution encompasses new ways of capturing, processing, storing and displaying information and is capable of increasing productivity and competitiveness through information provision. Information and Communication Technologies (ICTs) are playing a focal role in the development process of any country. In today's life Technology became a part of life and livelihood. In this digital era, India is using ICTs to promote their development programs as well as reaches to the poor to strengthen their lively hood. Considering these facts the study was conducted in Hisar district with objectives to study the availability, accessibility and attitude of respondents towards use of ICT. The findings revealed that television sets and mobile phones were available at every respondent's house followed by availability of internet (62.00 % male and 17.00 % of female respondents). Regarding accessibility of ICT, only 2.00 to 25.00 per cent of male respondents and 2.00 to 9.00 pe rcent of female respondents had partial accessibility of CD/DVD, computer and e-mail and internet. Further, 66.00 per cent male respondents had least favorable attitude and 56.00 per cent of female respondents had highly favorable attitude towards use of ICT.
AI Automation and Application in Diverse Sectors

Artificial intelligence, commonly referred to as AI, has, in recent years, transformed the nature of human life in almost every aspect that is connected to human life. The aspects include economic status, job creation, and employment, communication, war, security, privacy, and healthcare. The long term evolution of AI is yet to be seen if it will lead humanity in making the world a better place for living in or a disastrous place. For every technology to survive in the market, the advantages must outdo the disadvantages since every technology has its advantages and disadvantages. In artificial intelligence, since we have not yet reached the long term evolution, we are, however, to see if it will have an impact on the positive effects than the adverse effects. In the world today, we are surrounded by technology in every aspect of life, and we seem to embrace them starting from the aspect of healthcare, industries, smart homes, and even cars that are autonomous. On the negative side, the technology seems to take away jobs from many individuals who are tot intellect on matters technology hence creating the context of unemployment. As technology is advancing quickly, robots and autonomous systems are developed and born daily, therefore replacing the labor provided by humans. However, this being the current situation generated by technology, the exciting parts are brought by the system’s long term results which tend to be very fulfilling to the human life. Throughout this essay, I will address the Artificial Intelligence starting from its development to the current situation, including its significance in human life in both the positive aspects and negative aspects of life.
Compressing and Performing Algorithms on Massively Large Networks

Networks are represented as a set of nodes (vertices) and the arcs (links) connecting them. Such networks can model various real-world structures such as social networks (e.g., Facebook), information networks (e.g., citation networks), technological networks (e.g., the Internet), and biological networks (e.g., gene-phenotype network). Analysis of such structures is a heavily studied area with many applications. However, in this era of big data, we find ourselves with networks so massive that the space requirements inhibit network analysis. Since many of these networks have nodes and arcs on the order of billions to trillions, even basic data structures such as adjacency lists could cost petabytes to zettabytes of storage. Storing these networks in secondary memory would require I/O access (i.e., disk access) during analysis, thus drastically slowing analysis time. To perform analysis efficiently on such extensive data, we either need enough main memory for the data structures and algorithms, or we need to develop compressions that require much less space while still being able to answer queries efficiently. In this dissertation, we develop several compression techniques that succinctly represent these real-world networks while still being able to efficiently query the network (e.g., check if an arc exists between two nodes). Furthermore, since many of these networks continue to grow over time, our compression techniques also support the ability to add and remove nodes and edges directly on the compressed structure. We also provide a way to compress the data quickly without any intermediate structure, thus giving minimal memory overhead. We provide detailed analysis and prove that our compression is indeed succinct (i.e., achieves the information-theoretic lower bound). Also, we empirically show that our compression rates outperform or are equal to existing compression algorithms on many benchmark datasets. We also extend our technique to time-evolving networks. That is, we store the entire state of the network at each time frame. Studying time-evolving networks allows us to find patterns throughout the time that would not be available in regular, static network analysis. A succinct representation for time-evolving networks is arguably more important than static graphs, due to the extra dimension inflating the space requirements of basic data structures even more. Again, we manage to achieve succinctness while also providing fast encoding, minimal memory overhead during encoding, fast queries, and fast, direct modification. We also compare against several benchmarks and empirically show that we achieve compression rates better than or equal to the best performing benchmark for each dataset. Finally, we also develop both static and time-evolving algorithms that run directly on our compressed structures. Using our static graph compression combined with our differential technique, we find that we can speed up matrix-vector multiplication by reusing previously computed products. We compare…
KEMAMPUAN MENGANALISIS PENOKOHAN TOKOH DALAM LEGENDA PADA SISWA KELAS VII SEMESTER GENAP MTS AL MUHAJIRIN KETAPANG LAMPUNG SELATAN TAHUN PELAJARAN 2018/2019

The purpose of the study was to find out and describe the ability of class VII students in analyzing the characterization of characters in legend. The aspect that becomes the assessment is character with the coverage of Darmi, mother, youth, and Darmi characterizations. This study uses descriptive methods. The population of this study was grade VII students of AL Muhajirin class totalling 164 with a sample size of 40 students from 24%. By using random sampling techniques. Data collection uses assigments and is analyzed by quantitative analysis. The results of the study include the ability to analyse the characterization of figures in the legend in grade VII students even semester Mts AL Muhajirin Ketapang Lampung Selatan 2018/2019 school year reached a score of 63 with the category of abilities achieved is sufficient. In each aspect of the assessment showed that the ability of students to analyse the characterization of the Darmi reached and average of 73, while in the characterization aspect the figure of the Darmi mother achievied an average value of 66 with sufficient categories.  While the ability to analyze the characterization of a young man reaches an average of 66 sufficient, and the ability to analyze the characterization of  47 Darmi friends with less categories. Factor that cause because student are not looking at legend stories.
Offline Meta-Reinforcement Learning with Advantage Weighting

This paper introduces the offline meta-reinforcement learning (offline meta-RL) problem setting and proposes an algorithm that performs well in this setting. Offline meta-RL is analogous to the widely successful supervised learning strategy of pre-training a model on a large batch of fixed, pre-collected data (possibly from various tasks) and fine-tuning the model to a new task with relatively little data. That is, in offline meta-RL, we meta-train on fixed, pre-collected data from several tasks and adapt to a new task with a very small amount (less than 5 trajectories) of data from the new task. By nature of being offline, algorithms for offline meta-RL can utilize the largest possible pool of training data available and eliminate potentially unsafe or costly data collection during meta-training. This setting inherits the challenges of offline RL, but it differs significantly because offline RL does not generally consider a) transfer to new tasks or b) limited data from the test task, both of which we face in offline meta-RL. Targeting the offline meta-RL setting, we propose Meta-Actor Critic with Advantage Weighting (MACAW). MACAW is an optimization-based meta-learning algorithm that uses simple, supervised regression objectives for both the inner and outer loop of meta-training. On offline variants of common meta-RL benchmarks, we empirically find that this approach enables fully offline meta-reinforcement learning and achieves notable gains over prior methods.
Automatic Lecture Meeting Folder Based on Hierarchical Directories

The lecture meeting is a face-to-face meeting between a teacher and the learners in the classroom in the implementation. In the rules that apply that every lecture meeting a teacher must put the signature on the sheet of paper attendance in the signature column. Checking the lecture meeting in this way has its weaknesses, namely easily manipulated. For this reason, there is an idea to design a system that can make automatic college meeting folders every time the teacher runs this system. The experimental results show that the system can automatically create lecture meeting folders for various subject names that are already available.
Say Hello to Voice Systems

You've probably experienced it: you use an app and think, I could’ve done this better. Now here’s your chance to create something with a promising cool new technology—an application that users can talk to and that responds with voice.
Image Retrieval Using Deep Learning

During previous number of years, the planet Wide Web (WWW) has become a particularly well-liked data source. To with success utilize the huge amount of knowledge that the net provides, we wish a good thanks to explore it. Image knowledge is far additional voluminous than matter knowledge, and visual data can't be indexed by ancient methods Developed for compartment allocation matter data. Therefore, Content-Based Image Retrieval has received a wonderful deal of interest among the analysis community. A CBIR system operates on the visible options at low-level of a user's input image that makes it difficult for the users to plot the input and additionally does not supply adequate retrieval results. In CBIR system, the study of the helpful illustration of options and appropriate similarity metrics is very necessary for improving the performance of retrieval task. Linguistics gap has been the most issue that happens between image pixels at low level and linguistics at high-level understood by humans. Among varied ways, machine learning (ML) has been explored as a feasible thanks to cut back the linguistics gap. Galvanized by the present success of deep learning ways for pc vision applications, during this paper, we tend to aim to confront AN advance deep learning methodology, referred to as Convolutional Neural Network (CNN), for learning feature representations and similarity measures. During this paper, we tend to Explored the applications of CNNs towards determination classification and retrieval issues. For retrieval of comparable pictures, we tend to in agreement on victimization transfer learning to apply the Google Net deep design to our downside. Extracting the last-but-one absolutely connected layer from the retraining of Google Net CNN model served because the feature vectors for each image, computing Euclidian distances between these feature vectors which of our question image to come the highest matches within the dataset.
ПРОБЛЕМЫ СФОРМИРОВАННОСТИ ИНФОРМАЦИОННОЙ КОМПЕТЕНТНОСТИ У СТУДЕНТОВ - БИОЛОГОВ ПЕДАГОГИЧЕСКОГО ВУЗА

Currently, an important role is given to the formation of information competence on the basis of information activities with different sources of information: both traditional and electronic. Formation of information activity of the teacher is based on a wide range of information skills, so it is not enough to reduce them exclusively to the ability to use the computer as a technical means of training and the use of information and communication technologies in the educational process in biology. The key characteristics of information competence in a broad sense is the possession of universal methods of search (obtaining) information in the ever-expanding information field (the use of the Internet, electronic libraries, databases, etc.), selection, processing (analysis, synthesis, synthesis), storage and transmission of information. The process of formation of information activities, which began in school, continues and gradually becomes more complicated in the system of vocational education, does not stop after graduation, because the speed of development of the information society, the intensity of the introduction of new technologies in all activities requires a constant increase in the willingness of specialists to work in the information environment. The purpose of the study is to determine the level of readiness of students-biologists to perform various functional tasks of pedagogical activity and orientation in the information flow. For this purpose was the survey of students 2, 3 specialty courses 5В11300-Biology.
Running a Voice App—and Noticing Issues

In the first two chapters, we introduced you to voice interaction technology and the reasons why some things are harder to get right than others for humans and machines in conversational interactions. Now it’s time to jump in and get your own simple voice-first interaction up and running. You'll stay in the familiar food domain; it’s a convenient test bed for introducing the core concepts—finding a restaurant is probably something you’re familiar with, and it covers many voice-first concepts. The task of finding a restaurant seems simple, but things get complicated fast. When you expand functionality to deal with real users, you’ll stray from the “happy path” quickly, but let’s not worry about real life yet.
IMPLEMENTASI PROGRAM INDONESIA PINTAR SEKOLAH DASAR DI KECAMATAN TEMBALANG KOTA SEMARANG

Program Indonesia Pintar, hereinafter referred to as PIP or The Smart Indonesia Program, is government cash assistance provided to students whose parents are not and / or less able to pay for their education. The method used in this research is descriptive qualitative method. The purpose of this research is to see how the implementation of the Smart Indonesia Program (PIP) in Tembalang District Elementary Schools and to analyze the factors that influence its implementation by using the effectiveness of policy implementation through Riant Nugroho's five right, namely: First policy accuracy, accuracy of implementation, Accuracy of targets, Accuracy of Environment and Accuracy of Process. The recommendation given is that the implementing agency should be more responsible for coordinating junior secondary schools and distribution banks, to be able to pay attention to the human resources involved in this program so that they are more adequate not only in quantity but also in quality, the implementing agency must be able to act firmly and strict on violations that occur, for the social environment, especially parents of the beneficiary Indonesia Pintar Program, must be better understood and comply with the provisions and technical programs of Indonesia Pintar
Interview: Simon Maskell

Maskell, a data scientist at the University of Liverpool, discusses his current work on a data system to support the UK government's response to Covid-19. don't see data as a quest for truth: I see it as a tool for making decisions, he says.
Transformational Leadership, Work Engagement and Performance Among Public Service Employees in Uganda

This study aims at examining the relationship between transformational leadership, work engagement and performance among employees of the public service in Uganda.The study also reports an investigation into the mediating effect of work engagement on the relationship between transformational leadership and performance.To test the relationships between transformational leadership, work engagement and performance, the author applied the Pearson's product moment correlation coefficient.The mediating effect was tested using the three step regression analysis proposed by Baron and Kenny (1986).Data was collected from 132 employees of Ministry of Gender, Labor and Social Development in Uganda.The results show a positive and significant relationship between transformational leadership, work engagement and employee performance.Though, the inspirational motivation component of transformational leadership is not related to overall work engagement.And the transformational leadership component of individualised consideration is not related to overall performance.Work engagement is found to fully mediate the relationship between transformational leadership and employees' performance.So even when the results of this study to a certain extent are explained by the social exchange theory, emphasis should be on creating an environment of work engagement by management because this has shown to increase employee performance.However, a possible limitation could be arising from the use of self-report questionnaires.That is, responses generated from the "employees only" could have been biased because they might have expected chastisement for negative responses.
ИСПОЛЬЗОВАНИЕ ПРОГРАММНО-ТЕХНИЧЕСКИХ СРЕДСТВ В УЧЕБНОМ ПРОЦЕССЕ

The article presents an overview of the software and technical training tools used in the educational process, providing the formation of professional competencies of students enrolled in programs of technical and vocational education. Special attention is paid to the use of hardware and software systems for the development of technical thinking of students and, as a consequence, the development of the ability to understand technology, the development and construction of technical devices, technical creativity. The possibility of using various tools in the educational process, including software: LMS Moodle, software and graphics environment Logisim, simulator Tinkercad and hardware: simulator Digital Trainer DT-01, which allows you to develop electronic circuits on a breadboard without soldering and Arduino microcontroller. Examples of application of various methods of training for development of technical thinking of students are given. The advantages and problems of using software and hardware in the educational process are revealed.
Choosing Strategies to Recover from Miscommunication

Recognition is never perfect, not even with today’s amazing ASR. Nor is it so accurate that you can just ignore any utterances that fall off the happy path because of misrecognition or incorrect intent mapping. You’ve already learned about many of the reasons why recognition fails: not covering the words spoken by users or the way users pronounce words that are covered, interfering similar words, noisy background, and side speech are just a few reasons. Or suddenly someone changes a feature or adds a branded product name, and bam! People don’t get recognized and get frustrated. This chapter is all about getting back on track by designing and implementing the best recovery and backoff method for a particular context.
Improving Food Consciousness - Opportunities of Smartphone Apps to Access Food Information

Factors of food choice have an increasingly important role in the life of consumers. Information and codes on food packages are the most widespread standard to support the decision among the many types of food products. There should be mandatory information on packages that are governed by regulations. However, there can be other labels too that help consumers in choosing food products that match personal needs and concepts, including not only nutritional information but ethical factors as well. In our literature review, we overview the current trend of food labels and the results of research on the role of food information among consumers. The focus of this study is on smartphone applications and Augmented Reality (AR) as an advanced technology to display personalized food information. In this paper, we surveyed and analyzed the attitude of young food consumers due to their personal needs, the extent of attention to package information, and the most important factors when purchasing goods. We also surveyed the interest in smartphone applications that may support the decision. Our results suggest that there is a willingness to use an interactive application to gain personalized food information immediately. The majority of respondents would use an application that provides complex information service. Within the framework of the studied criteria for implementing a smartphone application using a database behind, we outline a theoretical infrastructural model too, for collecting and handling the necessary data. Our work has led us to conclude that there are opportunities of using smartphone applications to access food information and we suggest some solutions that may increase the Quality of Experience, such as AR.