Reviewerly/exHarmony huggingface dataset:
Benchmarking missing-values approaches for predictive models on health databases

BACKGROUND: As databases grow larger, it becomes harder to fully control their collection, and they frequently come with missing values: incomplete observations. These large databases are well suited to train machine-learning models, for instance for forecasting or to extract biomarkers in biomedical settings. Such predictive approaches can use discriminative -- rather than generative -- modeling, and thus open the door to new missing-values strategies. Yet existing empirical evaluations of strategies to handle missing values have focused on inferential statistics. RESULTS: Here we conduct a systematic benchmark of missing-values strategies in predictive models with a focus on large health databases: four electronic health record datasets, a population brain imaging one, a health survey and two intensive care ones. Using gradient-boosted trees, we compare native support for missing values with simple and state-of-the-art imputation prior to learning. We investigate prediction accuracy and computational time. For prediction after imputation, we find that adding an indicator to express which values have been imputed is important, suggesting that the data are missing not at random. Elaborate missing values imputation can improve prediction compared to simple strategies but requires longer computational time on large data. Learning trees that model missing values-with missing incorporated attribute-leads to robust, fast, and well-performing predictive modeling. CONCLUSIONS: Native support for missing values in supervised machine learning predicts better than state-of-the-art imputation with much less computational cost. When using imputation, it is important to add indicator columns expressing which values have been imputed.
VADOI:Voice-Activity-Detection Overlapping Inference For End-to-end Long-form Speech Recognition

While end-to-end models have shown great success on the Automatic Speech Recognition task, performance degrades severely when target sentences are long-form. The previous proposed methods, (partial) overlapping inference are shown to be effective on long-form decoding. For both methods, word error rate (WER) decreases monotonically when overlapping percentage decreases. Setting aside computational cost, the setup with 50% overlapping during inference can achieve the best performance. However, a lower overlapping percentage has an advantage of fast inference speed. In this paper, we first conduct comprehensive experiments comparing overlapping inference and partial overlapping inference with various configurations. We then propose Voice-Activity-Detection Overlapping Inference to provide a trade-off between WER and computation cost. Results show that the proposed method can achieve a 20% relative computation cost reduction on Librispeech and Microsoft Speech Language Translation long-form corpus while maintaining the WER performance when comparing to the best performing overlapping inference algorithm. We also propose Soft-Match to compensate for similar words mis-aligned problem.
Does problem definition similarity predict collaboration in a college access coalition? An exponential random graph model

Community coalitions are vehicles for generating local level change around issues of education, healthcare, and community development. They often operate as coordinating bodies to support local stakeholders in sharing information, making decisions, and taking action around common problems. To date, there has been little research exploring the diversity of ways each stakeholder within a coalition defines the central problem for the group. Homophily theory suggests that individuals with similar definitions would be more likely to collaborate with others who have a similar problem definition. In this study, I address the question: Are coalition members more likely to collaborate with others who have similar problem definitions? To answer this question, I partnered with a coalition focused on postsecondary attainment in a community in Michigan. I captured each coalition member’s problem definitions using fuzzy cognitive mapping as well as their collaborators within the coalition. I used exponential random graph modeling to determine whether similarities in problem definitions predicted collaborative ties, including controls for participant sector, length of time in the coalition, and demographics. Findings suggest similarity in problem definitions among coalition members did not predict their collaborative ties. I conclude with a discussion of why this may be the case and future directions for the study of how coalitions function.
Tracking Human Movements in Large View Cases Through Gbln Bco and Model Based Particles

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Developing Instructional Media Based on ICT for Fourth Grade Students

ABSTRACT&#x0D; The aim of this study is to develop ‘English Fun’ in English instruction for fourth grade students of MI Al Hidayah Pagotan Jombang. This product focused on some vocabularies such as fruit, part of body, vegetables, and animals. The researcher chooses the ADDIE model in developing the product. This model consists of five steps. Those are: (1) analyze, (2) design, (3) development, (4) implementation, and (5) evaluation.on develop phase, validation sheet was used to evaluate the quality of English Fun that was developed. Based on the data from the material expert validation sheet instrument above, the average of the overall aspect was 94% which means this product was “very good" and deserves to be implemented. The following were the validation results from media experts. Based on the data from the media expert validation sheet instrument above, the average of the whole aspect was 89% which mean this product was “very good” and feasible to be implemented. Based on the results of implementation with 10 students as a respondent, the result was 67% which mean that the results of the implementation were included in "good" which mean this instructional media can be used as a means of learning media to help students in learning activities
Designing English Pronunciation (EPRO) Android apps for Beginner Level

The ability of teachers and lecturers to understand and teach technology greatly affects the ability of students in the learning process. With the development of technology can improve the quality of education in schools. Therefore, the researcher aimed to design instructional media for and course students at the student and twelfth grade level. This study designs learning media through applications to learn English pronunciation in speaking skills at the beginner level. In this study using the Research and Development (R&amp;D) method and through the ADDIE model (Analyze, Design, Development, Implementation, and Evaluation). This learning media is called EPRO (English Pronunciation). This learning media is an audio designed to develop a product in the context of a feasibility test as an alternative learning media that can help students understand English Pronunciation in speaking skills. The research instrument was interviews with English tutors and the distribution of questionnaires to 13 students studying at AEC as a sample. The results of this study indicate that: (1) the media expert score is 4.44 (2) The material expert score is 4.57 (3) The product test result to students is 4.25 The researcher concludes that English Prounciation (EPRO) is suitable for use in the process learning speaking in class. From these results, there is a suggestion that the product be revised as suggested by the expert.
Pelatihan Penulisan Karya Tulis Ilmiah bagi Mahasiswa Program Studi Pendidikan Matematika UNWAHA

Scientific writing is a familiar academic activities to students of higher education. Since the beginning of their academic life in higher education, students have been faced with various tasks that involve scientific writing as reports. In addition, writing scientific papers is one of requirements for students in order to obtain academic degree in higher education. However, some evidenc and results of several previous studies show that students' writing skills are still low. Even though there have been supporting courses to support students in compiling scientific papers, many students consider writing scientific papers as a tough task. Therefore, it is needed for training activities to improve students' knowledge and abilities in writing scientific papers. This scientific writing training is part of service activity. The training was carried out in five meetings, they were 1) providing material on scientific writings and writing methods, 2) selecting ideas and titles of works, writing backgrounds, reviewing literature and writing references, 3) writing research methods, 4) writing results and discussions, and closing, 5) review and finalization of the works. The results of this training activity shows that students' interest in writing scientific papers is quite high. However, students' initial knowledge about scientific writing and writing methods is still low. Therefore, this scientific writing training activity is necessary. The posttest results shows that 90% of the participants experiences an increase in their writing knowledge and skills. These results indicate that this training activity is effective in helping students improve their knowledge and ability to write scientific papers.
Hoax news identification using machine learning model from online media in Bahasa Indonesia

Information and communication technology that’s developing is one of the main triggers of the information explosion today. Nowadays, various news content is not only easy to obtain but also easy to produce through various platforms on the internet, including popular online media, such as blogs and websites. So a lot of news content on blogs and websites that are currently being circulated leads to fake news content (hoaxes) that can mislead the perception and thoughts of the readers. Therefore, it is important to develop a system that can detect the presence of fake news content to minimize the losses caused by the presence of fake news content. In this study, the Naive Bayes algorithm is proposed as a machine learning model that will be used to detect fake news content in Indonesian language online media. As a result, the global accuracy value reached 71% with recall, precision, and F1-Score values as a whole above 70% which indicates that the proposed model can detect fake news content quite well.
novel voiceprint using ensembled Mel-Chromagram for speaker recognition

This research paper proposes a novel voiceprint generation methodology for recognizing the speakers registered in a system. The proposed methodology is a keyword-dependent closed set speaker classification task. The features used are Mel-Spectrogram, Chromagram, MFCC and a new ensembled feature called Mel-Chroma. Mel-Chroma is generated with the combination of Mel-spectrogram and Chromagram. The Mel-Chroma spectrogram generated is converted into a binary image by using the average as the threshold. The recurrent neural network model LSTM is used for the classification task and the dataset used is FSDD. The proposed method has a higher accuracy than the state-of-art methods for the specific task. The accuracy obtained for the classification of speakers using a binary Mel-Chroma voiceprint is 98.33%.
Pengelompokan Kabupaten Dan Kota Di Provinsi Jawa Timur Berdasarkan Tingkat Kesejahteraan Dengan Metode K-Means Dan Density-Based Spatial Clustering Of Applications With Noise

East Java Province has an uneven welfare condition. The uneven welfare conditions are indicated by a large number of poor people in East Java and the rate of economic growth which has decreased in 2020, reaching -2.39% due to the impact of the pandemic. Welfare can be measured through several indicators, while the indicators used to classify districts and cities in East Java among others include population density, labor force, labor force participation rate, and open unemployment rate. Thus, to find out the grouping of regencies and cities in East Java Province based on the level of welfare, grouping was carried out using the K-Means and Density-Based Spatial Clustering of Applications with Noise (DBSCAN) methods. For each of the two methods, distance calculations are performed using the Euclidean and Manhattan distances. Each distance was tested for validity using the Davies-Bouldin Index (DBI), C-Index, and Dunn Index. This study concludes that the best method is the DBSCAN method using Manhattan distance with MinPts = 2 and eps = 4 which has the smallest DBI value of 0.284, with 2 clusters formed and 5 noise. Cluster 1 consists of 26 regencies, cluster 2 consists of 7 cities, and noise consist of 5 regencies and cities. Keywords: Welfare, K-Means, DBSCAN, Euclidean Distance, Manhattan Distance.
Organization of the educational process in pandemic

The paper presents the peculiarities of the organization of students' education in conditions associated with the spread of COVID-19 coronavirus infection. The purpose of the work was to analyze the experience gained, describe the difficulties and positive aspects of the introduction of a distance education system, as well as the transition to hybrid learning. The authors considered separately the tasks that arose during the emergency transition to online learning, and the issues that need to be addressed within hybrid learning.
Optimization of the lists of specialties of secondary vocational education

A justification is given for the need to change the current list of the specialties of vocational education. New approaches to the formation of the list of specialties, developed by NARC, are shown. The results of optimization of the list of vocational schools in the field of cartographic - geodetic and land management activities are given. The content and elements of the preparatory and main stages of the work of the industry project group are considered. A method for assessing the identity of disciplines based on the names of general professional disciplines is given. The results of a comparative analysis of general professional disciplines, including the above assessment method, and a draft composition of specialties in secondary vocational education are presented. Conclusions are drawn about the trend in the training of universal specialists in geodetic and cartographic activities, cadastral and land management works.
Automation of educational business processes at the Siberian State University of Geosystems and Technologies

The article presents a conceptual approach to the development of the educational information environment and resources of a higher academic institution on the example of Siberian State University of Geosystems and Technologies. The article presents a SWOT analysis of the University’s information and educational resources, which resulted in the development of ways to improve the integrated automation of the University’s business processes.
Trends for automating the formation of curricula

The article discusses the trends for automating the formation of curricula. The authors present the results of a comparative analysis of the functionality of existing similar automated systems. Based on the results of the analysis, the authors systematized the requirements for automated systems for the formation of curricula. The purpose of automating the process of forming curricula is to minimize technical errors and reduce the time spent by developers, administration and other employees involved in the process of developing and coordination of curricula. The authors suggest that the stated goals will be achievable by reducing manual activities, introducing elements of electronic document management. The article presents the structure of an automated quality management system for the development of curricula, the scheme of integration of the module for the formation of curricula with databases and knowledge.
Informatization of the Scientific and Technical Library of the Siberian State University of Geosystems and Technologies

The article deals with the development of the scientific and technical library of the Siberian State University of Geosystems and Technologies. The main promising directions for modernizing the activities of the scientific and technical library are presented, including the organization of free access to the funds, the formation of a comfortable environment, the digitalization and automation of the main business processes.
Technology of university cooperation with engineering classes of schools as the first stage of a continuous educational trajectory

In the presented work, the educational technology of cooperation between universities and engineering or specialized classes of schools is considered. The article describes the experience of the staff of the Department of Engineering Geodesy of NGASU (Sibstrin) with several schools of the city of Novosibirsk and the Novosibirsk region in terms of preparing students for choosing a future profession through project activities in laboratories and equipped classrooms of the university. As tools for communication and structuring the work of project teams, virtual communication tools for project teams, teachers and parents are considered, such as ''Discord'' - a free messenger with VoIP and video conferencing support, as well as a means of structuring the work of project teams - ''Trello'' virtual boards, which are one of the most popular online project management systems.
Principles of pedagogical design of a safe educational environment

The article is devoted to one of the most important, one might say global problems - the problem of educational security. Within the framework of the study, the authors, based on the study of the phenomenon of security of the educational environment in domestic and foreign studies, reveal such concepts as "pedagogical design", "educational security"; based on the analysis of a document aimed at regulatory in the field of education - the Federal State Educational Standard of Basic General Education, approved on 31.05.2021; they offer their vision of the principles of pedagogical design of a safe educational environment. The article may be useful for researchers involved in the design of a safe educational, socio-cultural space; and the principles proposed by the authors: consistency and goal-setting; targeting; aestheticization and accessibility of the educational environment by means of pedagogical design and the constructing principle will increase the efficiency; and productivity of pedagogical design of the educational environment as a whole.
Transformation of the university course "Informatics"

The article focuses on issues related to the modern role of the university discipline "Informatics", its content and the need for transformation. The results of a survey of first-year students of SSUGT are presented, they show which sections and topics of the discipline students consider the most important, as well as an overall assessment of the quality of teaching the discipline in the Autumn semester of the 2021-2022 academic year.
Problems of practical training of students in the conditions of distance learning and the ways of their solution

The article deals with the organization of distance learning for students within the framework of restrictive measures in pandemic. A number of issues has been outlined regarding the current difficult information and economic situation, which affects the learning process in higher educational institutions, in particular, the possibility for students to acquire professional competencies. The attention is drawn to the need for students to undergo industrial and undergraduate internships at enterprises in full-time format, as well as the peculiarities of the relationship between the management of universities and representatives of enterprises within the framework of this cooperation. Options for the interaction of universities with enterprises through various organizations and digital platforms that accumulate information about employer vacancies and track the career of university graduates are proposed.
Automated system for collecting and processing of organizational data of a student scientific conference

The development of a web-platform for the collection and processing of organizational data of a student scientific conference was carried out. The results of software solutions for automation of organizational stages of the conference are presented: acceptance of submissions, formation of the conference program, preparation of certificates of participants, acceptance of abstracts, formation of reports, statistics, publication of the program, collection of abstracts, certificates on the conference web-site. The developed web-platform of the student scientific conference and related software solutions are made taking into account the features and needs of users. The testing of the web-platform was carried out for three years from 2019 to 2021. As a result of the approbation, technical shortcomings were eliminated and software solutions were finalized. The automated system for collecting and processing of organizational data of a student scientific conference is a subject to further development to form a common portal integrating other student activities.
Digital competencies of a teacher

The article lists the main events and trends of recent years, which clearly identified the need for the introduction and widespread use of distance and digital learning technologies in education. The main digital competencies for which teachers were certified are presented. The results of the assessment of the formation of digital competencies of teaching staff in the Novosibirsk region and Russia are presented. Eight types of participants in the automated assessment program on a special educational platform are considered, depending on the level of proficiency in modern digital competencies. It is concluded that a teacher has to possess various tools of digital and distance technologies.
Delone and McLean Models for measuring the success of Flores University e-learning information system

The University of Flores first conducted E-Learning learning amid the covid 19 pandemic, the problem faced was that most of the lecturers at the University of Flores did not understand E-learning by using information technology. The Faculty of Information Technology facilitated all faculties at the university to conduct e-training. E-Learning, in the learning process. The aim is to measure success in implementing the University of Flores E-Learning information system. The model in this study is the Delone and Mclean model to measure success with six dimensions, namely, system quality, information quality, users, service quality, user satisfaction, net benefits. The method in this research is observation, a survey using questionnaires in the form of a Likert scale, and a literature study. The data analysis technique used simple linear regression. The results showed that the Delone and Mclean models were very well used to measure the success of using e-learning. The conclusion is that the quality of information on the use percentage of 34.4%, the quality of service they use of 33.8%, the quality of the system on the satisfaction of the users is 38.6%, and the quality of the services on the satisfaction of the users 34,5%, the users on the satisfaction of the users 43,4%, use of net benefits is 58.7% and user satisfaction of net benefits is 48.8%. The higher the value of these variables, the higher the success rate of information systems using E-learning at universities will be.