Reviewerly/exHarmony huggingface dataset:
Pelatihan Analisa Data Penelitian Qualitative Menggunakan N-Vivo dalam Upaya Meningkatkan Kapasitas Research dan Literasi Digital Dosen di Era Pandemi Covid19

The pandemic makes many things difficult to do because of the restrictions on community mobilization in interacting. The world of higher education is one of those affected by the pandemic. Education, research, and community service activities have decreased, which has an impact on the quality and quantity of the research results of the lecturers. In order to increase the capacity of educators and researchers and at the same time serve the community, an analytical tool is needed that can make it easier for lecturers to find and determine the results of the analysis of the data that has been collected. This service activity takes the form of a workshop on the use of the N-Vivo application, which is used to increase the capacity of lecturers as researchers as well as to improve literacy, particularly in the creation of scientific works. This workshop was held for two days, Monday and Tuesday, November 8–9, 2021. In addition, this activity was also held in two places. The first is at the Viva Kediri hotel, and the second is at the TIPD hall on the 2nd floor of IAIN Kediri. The workshop was guided by Prof. Dr. Achmad Nurmandi, M.Sc, along with 3 assistants. On the first day, the material given was on the use of the Mendeley application in finding and making journal citations and the use of the Vosviwer application to group data related to the number of journal citations. Meanwhile, on the second day, the speaker focused on the use of the N-Vivo application. Overall, the activity went smoothly. However, several obstacles were found, including an unstable wifi network, especially on the first day. Meanwhile, another obstacle is the need for high-spec laptops, so many participants are constrained from being able to use the N-Vivo application. The enthusiasm of the participants was also high. The level of satisfaction of workshop participants is also high. It is hoped that this activity can be carried out again to increase understanding of using the application.
THE USE OF VISUAL ELECTRONIC CIRCUITS MODELLING AND DESIGNING SOFTWARE FRITZING IN THE EDUCATIONAL PROCESS

The article analyzes the current state of the issue of STEM-education in general secondary education of Ukraine, considers the prospects of introducing elements of circuitry within the school course of computer science (CS) as one of the elements of STEM-education, moreover, it reviews the possibility of implementation of the mentioned part as one of the components of professional training of computer science teachers. The analysis of the recent researches and publications on a problem of use of electronic devices in educational process is carried out; the choice of the open software platform Arduino as an auxiliary didactic tool for studying the elements of computer circuitry is substantiated. The most common Arduino model series are described and the examples of their applied use in real-life projects are given. The main technical specs and features of Arduino Uno electronic components are given and explained. The Atmega328P microcontroller, the main computing center of the platform, and its main structural elements are considered in detail; in order to substantiate the offered method, a program suite for creating visual electronic circuits – Fritzing is taken as an example with detailed description of its functions and capabilities. This software product provides the opportunity to visually present the project in different forms (layout, scheme and/or printed circuit board). Any of these views can be used as the main work environment of the project and can be selected at any time. Fritzing has a library of ready-made projects, which greatly facilitates the learning process. For greater clarity, all the processes of creating a prototype of the electronic game "Hunter" in the Fritzing environment are described and illustrated, as well as a description of the process of creating the game itself. Mentioned software product is used in the process of professional training of future teachers of computer science, mathematics and physics at Zhytomyr Ivan Franko State University. The authors outline prospects of research in this area.
Penerapan Algoritma Decision Tree dalam Penentuan Karyawan Kontrak

The problem that arises at this time is a complicated evaluation (assessment) process, meaning that what often happens now is that contract employees who get promoted to permanent employees are only seen on one criterion, but the employee is not necessarily superior on several other criteria. but still get promotions for permanent employees. And there are several problems that exist today, namely the process of evaluating contract employees which is still subjective. Data mining using the decision tree method is widely used to deal with problems with large amounts of data. This decision tree method is a classification method that is widely used because its construction is relatively fast, the results of the model built are easy to understand and the prediction results are very strong so that they can assist in decision making. This study uses 4 criteria, namely Achievement, Ability, Personality and Results. Prediction results accuracy obtained is 91.54% with the following details. Prediction results are accepted and it turns out to be true, 72 data are accepted. Prediction Result Accepted and it turns out True Not Accepted for 14 Data. Prediction Results Not Accepted and it turns out True Accepted 1 Data. Prediction Results Not Accepted and in fact True Not Accepted Amounting to 91 Data.
An Advanced Ensemble Directionality Pattern (EDP) based Block Ensemble Neural Network (BENN) Classification Model for Face Recognition System

Developing the face detection and recognition system is one of the most demanding and challenging tasks in the recent days. For this purpose, there are different types of image processing techniques have been developed in the conventional works, which are mainly focusing on detecting the facial images under occlusions. Still, it limits with the major problems of high complexity in algorithm design, does not have the ability to handle large dimensional data, requires more time consumption for training the model, and increased misclassification results. Thus, this paper intends to develop an efficient face recognition system for detecting the occluded faces by implementing an advanced image processing techniques using COFW-100 dataset which includes 507 occluded images. Here, the Gaussian filter technique is utilized to improve the overall quality of original image by suppressing the noise/artifacts. After that, an Ensemble Directionality Pattern (EDP) extraction technique is applied to extract the texture features from the normalized image by estimating the similarity between the pixel intensity in different angles of projection plane. It is mainly used to obtain the clear features of the person in the cell of each image frame and, this type of feature extraction helps to increase the accuracy of overall classification system. Then, the Block Ensemble Neural Network (BENN) classification model is deployed to accurately detect the occluded faces by processing the image with separate patterns of features. During experimentation, the performance of both existing and proposed techniques is validated and compared by using various evaluation metrics. Then, the results show that the proposed technique outperforms the other approaches by accurately detecting the face based on the image patterns with separate blocks.
A Survey On Virtualization Technology and its Security Challenges in Mobile Cloud Computing

Cloud computing is a computing paradigm that provides ondemand, scalable as well as measured services to the end uses.In today's era almost each and every business has huge dependency on this computing technology in terms of costsaving, infrastructure, development platform, data processing, data analytics etc.The services provided by the cloud service providers (CSP) can be consumed by the end users anytime, anywhere by the web application over the internet.The security of the cloud infrastructure is of utmost importance and several research work involving various technologies are utilized so as to provide better and more accurate defence mechanism against cloud attacks.Machine learning is a technology that has proved to produce better results in securing the cloud environment in the recent times.Machine learning algorithms are trained on the various authentic datasets to build models that can automate the process of detecting the cloud attacks with higher accuracy in comparison with any other technology.This paper reviews some of the latest research papers that have employed machine learning as a security mechanism against cloud attacks.
FORMATION OF PROFESSIONALISM OF FUTURE TEACHERS IN THE PROCESS OF STUDYING THE COURSE "EDUCATIONAL TECHNOLOGIES"

The article analyses the experience of teaching of the academic discipline “Educational Technologies” in the higher educational establishments of Ukraine, its role in the formation of the professionalism of future teachers. This article suggests the possible structure of the course. Also the necessity of the connection of learning educational technologies andformation o f the individual pedagogical skills is proved.
Trajectory Optimization of Quadrotor-UAV Drone Using Genetic Algorithm

Unmanned Aerial Vehicles (UAVs) Technology recently attracts attention of many researchers; this is due toits numerous potentialities in civil application. One of the key areas of interest by researches is how to achievea total talent of “Sense and Avoid” in the UAV which will enhance safe and efficient trajectory of the vehicle.This is why this paper is going to use an optimization technique to optimize trajectory path of the UAV flight.The chosen optimization algorithm is Genetic algorithm (GA) which is going to be use to optimize the trajectoryof UAV by determine the shortest path of flight as well as obstacle-free path in order to save energy and timeduring flight. MATLAB and Simulink are used to simulate as well as evaluate the algorithm. In the result fromthe experiment, it appeared that an optimized trajectory path is tremendously better than path from the firstrandomly generated population in term of distance covered as well as time taken before triumph the target pointfrom the initial point.
Validation of an Intensive Care Unit Data Mart for Research and Quality Improvement

Abstract Data derived from the electronic health record (EHR) frequently undergo limited prospective validation. Efforts to perform validation often suffer from limited collaboration between clinicians and data analysts. In this manuscript, we describe the creation of a structured, rigorously validated intensive care unit (ICU) data mart based on data automatically and routinely derived from the EHR. This data mart includes high-quality outcomes data and other data elements commonly used for quality improvement and research purposes. These data elements were identified by physicians working closely with data analysts to iteratively develop and refine algorithmic definitions for complex outcomes and risk factors. We contend that this methodology can be reproduced and applied to other clinical domains to create high quality data marts, inclusive of complex outcomes data.
The problem of the development of consciousness and self-consciousness of the teacher's personality

The article considers the problem of studying the development of consciousness of a teacher of higher education institutions, because consciousness, in general, is not only fundamental but also a limiting concept in the system of psychological concepts. The process of development of consciousness of high school teachers who directly form the personality of future specialists as leaders of any society is clarified. The theoretical structure of consciousness is studied, which includes such components as cognitive, reflexive, value-semantic, orientational, which are in close interaction and give the individual a holistic reflection of objective reality and affect the socio-psychological level of its development. These components function in the mind as a whole. Therefore, the authors consider the content of the consciousness of the teacher's personality as a specific form of subjective reflection of objective reality, in which he is included and which affects his actions and states. The authors emphasize that in this aspect we should pay attention to such key functions of consciousness as reflective, generative (creative, creative), regulatory and evaluative, reflective, spiritual, and socio-cultural.&#x0D; Attention is paid to self-consciousness as a special form of consciousness that reflects the level of development of consciousness. It is proved that self-awareness determines the level of self-organization of the individual, the principles of his behavioral self-regulation, self-construction, and self-affirmation. The authors determine the conditions for the functioning and development of teachers' consciousness and their self-consciousness. This is because the activities of higher education teachers have a high level of social significance, as society assigns him two important and interrelated tasks: preservation and enhancement of cultural heritage of society; socialization of the individual at the stage of its professional formation.
Assamese Dialect Identification System Using Deep Learning

Abstract The goal of a dialect Identification is to label speech in an audio file with dialect labels. This paper presents a method for automatically identifying four Assamese dialects: Central Assamese, Eastern Assamese dialect, Kamrupi dialect, and Goaplari dialect, using Convolution Neu-ral Networks (CNN). In this study, utterances of four major regional dialects of the Assamese language, namely Central Assamese spoken in and around Nagaon district, Eastern Assamese dialect spoken in the Sibsagar and its neighboring districts, Kamrupi dialect spoken in Kam-rup, Nalbari, Barpeta, Kokarajhar and some parts of Bongaigaon district and Goaplari dialect spoken in the Goaplara, Dhuburi and part of Bon-gaigaon district were used. The classifier was trained on audio samples from each of the four dialects that lasted 2 hours. The CNN uses Mel spectrogram images created from two to four seconds divisions of raw audio input with varied audio quality. The performance of the system is also examined as a function of train and test audio sample durations. When compared to machine learning models, the suggested CNN model obtains an accuracy of 90.82 percent, which may be considered the best.
Study on Tiny Object Detection

Object detection has been one of the most challenging tasks in computer vision and a hot research topic in the world. With the rapid development of in-depth learning technology, researchers have obtained abundant research results in the field of object detection. However, most of the current mainstream object detection methods are based on the modeling of normal scale objects, and the performance of these methods is seriously degraded when they are directly applied to the detection of tiny objects, because the real scene is changing and unknown, and generally there are problems such as object occlusion, close connection and different scales. In this paper, the existing detection methods of tiny objects are summarized.
Reimagining INFO 101: A Tale of Revisions and New Beginnings

Realized that video you love showing in class is nearly as old as your students now?We've been there.Lander University librarians spent this summer collaborating to redesign INFO 101, our 1-credit information literacy course.The goals were to keep the course fresh, useful, effective, and synchronized across instructors and delivery methods.This initiative included reformatting into an eight-week schedule offered twice per semester, moving to a new textbook, establishing a shared Blackboard sandbox in the university's recommended online course template, and ditching the final project.Results will be discussed from the Fall 2021 sections taught face-to-face and online.
Learning grammar with a divide-and-concur neural network

We implement a divide-and-concur iterative projection approach to context-free grammar inference. Unlike most state-of-the-art models of natural language processing, our method requires a relatively small number of discrete parameters, making the inferred grammar directly interpretable -- one can read off from a solution how to construct grammatically valid sentences. Another advantage of our approach is the ability to infer meaningful grammatical rules from just a few sentences, compared to the hundreds of gigabytes of training data many other models employ. We demonstrate several ways of applying our approach: classifying words and inferring a grammar from scratch, taking an existing grammar and refining its categories and rules, and taking an existing grammar and expanding its lexicon as it encounters new words in new data.
TOLERANT EDUCATIONAL ENVIRONMENT AS DEFINITIVE CONDITION OF FORMATION OF TOLERANT PERSONALITY

Tolerance as a social and cultural phenomenon is actualized by significant changes happened recently, which demanded to bring up tolerance culture of a separate person as well as a society in whole.&#x0D; At present time a real possibility has appeared to solve this problem by mastering tolerance culture, understanding the essence of reasons and ways how to accept different trends of thoughts, admitting other people’s right to be different in relationships with the environment.
Kursus Bimbel Gratis dan Menyenangkan Bahasa dan Matematika di SMP Beerseba Pekanbaru

The Community Service Program (PkM) activity is one of the compulsory subjects that students of the Faculty of Teacher Training and Education (FKIP) HKBP Nommensen University (UHN) Medan must take in order to develop students' teaching potential as prospective educators or as prospective educators who are professional and ready to enter the world of education. PkM activities supplement and complement the knowledge and skills acquired by students while in college. This program serves a purpose and serves a function, namely to give students with the opportunity to become professional education employees in order to increase students' knowledge and skills as professionals. Personality competence, professional competence, personal competence, and social competence are all required competencies for educators. The PkM program will equip students with real-world experience as aspiring educators. The PkM program encourages students to continue to strive towards the development of attitudes and personalities as educators, especially mature attitudes in behaving and thinking, discipline in carrying out their tasks and commitments, and the ability to adapt to their environment, institution, or society.
Author Education and Evidence-Based Writing in Nutrition and Food Blogs

Nutrition and food blogs are internet sites that document and deliver information regarding nutrition guidance, food recipes, and cooking. Despite their popularity, little is known about the credibility of the nutrition information distributed. The objective of this study was to examine relationships between education of nutrition and food blog authors and use of evidence-based writing in their articles. A purposive-snowball sampling approach was utilized to select blogs using search engines. Inclusion criteria for blogs was defined as: nutrition and food as main topic; active websites; and written in English. Data collection continued until a sample of 500 blogs was achieved. Evidence-based writing was examined by dividing blogs into two groups: evidence-based (those with scientific journals/websites cited as references for articles) and not evidence-based (no references). Pearson Chi-Square analysis was used to test relationship significance. Blog type categories include independent (n = 397), food commodity boards (n = 48), food/nutrition companies (n = 48), and other (n = 7). There was a significant relationship between evidence-based writing and blog type; of the 278 evidence-based blogs, 80.2% were independent, 12.9% commodity, and 6.8% company (p = 0.002). Evidence-based writing was significantly related to author education. Among the 223 independent evidence-based blogs, 59.6% of authors had a graduate degree, 33.6% bachelor's degree, and 6.7% without any education listed (P < 0.001). The majority of blogs from food commodity boards and food/nutrition companies did not include any author information and were excluded from analyses involving author education. A higher use of evidenced-based writing was found among independent nutrition and food blogs, as compared to those from food commodity boards and food/nutrition companies. Authors with bachelor's and graduate degrees had the majority of blogs with evidence-based writing, as compared to authors with no education listed. This research suggests the importance of author education for disseminating evidence-based nutrition information through nutrition and food blogs. Bess Heflin Centennial Professorship.
Pelatihan Pemanfaatan Wordwall dan Quizizz untuk Pembelajaran IPA: Pemberdayaan Guru SDN Tambelang 1 Kabupaten Probolinggo

Because of the Covid-19 epidemic, the learning method in primary schools has shifted from conventional learning to virtual learning, which is more effective. One of the challenges elementary school instructors face is the usage of virtual learning apps that are appealing to pupils. Virtual learning applications are becoming more popular. This service activity is a training session for teachers at SDN Tambelang 1 in Probolinggo Regency on how to utilize the Quizziz and Wordwall programs in the classroom to enhance learning. The participants in this activity will be 11 teachers who will be service partners with the organization. The Zoom platform is used for all of the activities that take place online. The exercise is divided into two stages: the first stage involves the presentation of content and practice with the Quizizz program, and the second stage involves the presentation of material and practice with the Wordwall application, respectively. Techniques for gathering information with surveys or questionnaires. The average participant answer was utilized in the data analysis. The replies of participants revealed that instructors developed knowledge and abilities in the use of the Quizizz and Wordwall programs, which was a good outcome. The inability of the internet network to function properly is a stumbling block in this endeavour. Abstrak: Karena wabah Covid-19, metode pembelajaran di sekolah dasar telah bergeser dari pembelajaran konvensional ke pembelajaran virtual yang lebih efektif. Salah satu tantangan yang dihadapi guru sekolah dasar adalah penggunaan aplikasi pembelajaran virtual yang menarik bagi siswa. Aplikasi pembelajaran virtual menjadi lebih populer. Kegiatan pengabdian ini merupakan sesi pelatihan bagi para guru di SDN Tambelang 1 Kabupaten Probolinggo tentang bagaimana memanfaatkan program Quizziz dan Wordwall di dalam kelas untuk meningkatkan pembelajaran. Peserta dalam kegiatan ini adalah 11 orang guru yang akan menjadi mitra pengabdian organisasi. Platform Zoom digunakan untuk semua aktivitas yang dilakukan secara online. Latihan dibagi menjadi dua tahap: tahap pertama melibatkan penyajian konten dan praktik dengan program Quizizz, dan tahap kedua melibatkan penyajian materi dan praktik dengan aplikasi Wordwall masing-masing. Teknik pengumpulan informasi dengan survei atau kuesioner. Rata-rata jawaban partisipan digunakan dalam analisis data. Balasan peserta mengungkapkan bahwa guru mengembangkan pengetahuan dan kemampuan dalam penggunaan program Quizizz dan Wordwall, yang merupakan hasil yang baik. Ketidakmampuan jaringan internet untuk berfungsi dengan baik menjadi kendala dalam upaya ini.