Reviewerly/exHarmony huggingface dataset:
The Professional Identity Construction Of The Beginning Teachers In Higher Education

The article focuses on the beginning teachers in higher education and their professional identity construction. Used methodology is oriented on the significant features of the teachers personality which are conducted by the teachers perception. The aim of the research is to analyse the future teachers at universities. The qualitative methodology design was conceived in the lines with the aims of the research and it was used and analysed narrative interviews (Creswell, 2009) of the teachers (n=30). The research deals with the changes in future teachers’ self-concept and progress of their self-development during the study on the university. Henceforth, their point of view offers a new way, how to improve current situation at universities and how flexibly react to the progressive social pressure of the changes, which influence the construction of the teachers complexity. The findings are indicating university teachers’ development phases. Thus, the conclusions describe current opportunities and strategies on how to deal with conceptual identity changes in earlier stages of the beginning teachers.
Study on ((r1,r2),m,(c1,c2))-Regular Intuitionistic Fuzzy Graphs

In this chapter, ((r1,r2 ),m,(c1,c2 ) ) -regular intuitionistic fuzzy graph and totally ((r1,r2 ),m,(c1,c2 ) ) -regular intuitionistic fuzzy graphs are presented.. Intuitionistic fuzzy sets have been applied in a wide variety of fields including computer science, engineering, mathematics, medicine, chemistry and economics. On an intuitive fuzzy graph, the relationship((r1,r2 ),m,(c1,c2 ) ) -regularity and totally ((r1,r2 ),m,(c1,c2 ) ) -regularity is investigated. There is a necessary and sufficient condition for them to be comparable.Additionally,, ((r1,r2 ),m,(c1,c2 ) ) - regularity on various intuitionistic fuzzy graphs whose underlying crisp graphs is a cycle is investigated using some special membership functions. &nbsp
Transformer-Based Siamese Textual Encoder for Knowledge Base Completion

Knowledge graph is constructed as a directed graph and regarded as a kind of knowledge base. Its nodes and edges represent named entities and relations between the entities, respectively. Knowledge graph is normally denoted as a collection of triples, i.e., (head/subject entity, relation, tail/object entity), for feasible processing. However, incompleteness or sparsity issue usually exists in knowledge graph since the knowledge graph are constructed via human labeling. Therefore, 𝘭𝘪𝘯𝘬 𝘱𝘳𝘦𝘥𝘪𝘤𝘵𝘪𝘰𝘯 task is proposed to complete a knowledge graph via predicting the missing links.Previous approaches for link prediction on knowledge graph are mainly based on graph embedding, such as translation-based embedding approaches, convolutional-based embedding approaches, and graph convolutional network (GCN-based) approaches. These traditional graph embedding-based approaches straightforwardly learn the embeddings by considering a knowledge base’s structure but are inherently vulnerable to the graph’s sparseness or incompleteness issue. In contrast, some recent approaches, named textual encoding approaches here, learn the embeddings from a natural language processing perspective. That is, except for the structural information in a knowledge graph, the semantic information of the entities and relations, like their texts, mentions, and descriptions, are taken into account to enrich the embeddings of the knowledge graph. Hence, they capture such structured knowledge from the semantic perspective and employ deep neural text encoder to model graph triples in semantic space, but fail to trade off the contextual features or model’s efficiency.Therefore, in line with previous textual encoding approaches that represent graph components like entities or triples into latent semantic space, we propose a Siamese textual encoder operating on each graph triple from knowledge base, where the contextual features between a head/tail entity and a relation are well-captured to highlight relation-aware entity embedding while a Siamese structure is also adapted to avoid combinatorial explosion during inference of link prediction.In the experiments, the proposed approach reaches the best or comparable performance on two link prediction datasets. And further compared to its baseline (i.e., a state-of-the-art textual encoding approach), our approach can accelerate the inference procedure by one or two orders of magnitude with an even better quality of predictions.
The current situation and reform ideas of computer network security education in higher vocational computers

With the continuous development of the Internet, students must master a course in computer courses in higher vocational teaching, and in the curriculum, network security education is a vital part, it can train students in the use of the Internet on false information and illegal behavior, guide students to correctly treat and use Internet resources, to create a healthy and harmonious network environment.How to carry out computer network security education efficiently is a key issue for vocational colleges and universities to pay attention to now.This paper analyzes the current situation of computer network security education in higher vocational colleges, puts forward suggestions for improvement in the defects of computer network security education, discusses the relevant reform ideas, and makes higher vocational colleges form a high-quality computer network security education environment.
A SPATIAL MEASUREMENT AND RECOGNITION SYSTEM USING AUTONOMOUS MOBILE ROBOT

In this paper, an autonomous mobile robot (AMR) is designed to determine the lateral dimensions of an arbitrary enclosed space and to predict its area and shape. The robot operates in two modes, navigation and measurement modes. It uses the ultrasonic sensor to guide around obstacles in the navigation mode and also to calculate the area, in measurement mode, by determining the x-y dimensions. Communication with the robot is achieved by means of a Bluetooth connection to an android mobile phone. Extracted information from measurement times are found to be useful in tracking the path of the autonomous mobile robot.
Chicken Disease Diagnosis Expert System Using Case Base Reasoning Method in the Office Livestock and Animal Health Bengkulu City

Chickens are the most widely bred livestock because of the many benefits and advantages. As with other livestock, chickens have various types of diseases. For some breeders who want to raise chickens, especially ordinary people, they are faced with several problems, one of which is disease. To diagnose the disease, the symptoms that appear on the chicken's body are needed. Seriousness and fast action are needed before it's too late and suffers losses. Therefore, the purpose of this program is to assist farmers in obtaining some information about chickens. The sooner chicken disease is detected, the sooner they can prevent it. An expert system for diagnosing chicken diseases using the Case Base Reasoning method at the Bengkulu City Office of Animal Husbandry and Health was built using the PHP programming language and MySQLi database. The application is divided into two parts, namely the general user page and the administrator or operator special admin page. The results show that the diagnosis results from the selected symptoms, the application also displays the possibility of other diseases detected based on these symptoms. In addition, there are also details of the disease, along with suggestions that must be done by farmers to the sick chickens. In addition to diagnosing diseases, this expert system application can also provide information about chicken diseases and how to handle them, as well as in all disease and symptom relationships between data from sources and the application is appropriate.
RANCANG BANGUN SISTEM TRACKING JASA LAUNDRY SEPATU DI CLINIX SHOES CARE BERBASIS WEBSITE

The matter of time still being an important thing in a shoe’s laundry services, because it can take a long time to get a shoes laundry. That’s why it required a tracking system to checking a status from our shoes at the clinix shoes and care laundry. The making of this system uses the method, waterfall starting from requirements analysis, system design, writing program code, testing programs, implementing programs, and writing program code in a structured manner. Writing program code using PHP, MySQL database and using the framework. With Codeigniter 3 this tracking system, customers can input the receipts provided by the admin clinix shoes care, to find out the status of shoes being laundered, and in this tracking system the customer can also check rates laundry.
ESTMATING GENERALIZABILITY AND DEPENDABILITY INDICES OF STUDENTS’ SCORES IN TEACHING PRACTICE ASSESSMENT IN A NIGERIAN COLLEGE OF EDUCATION

Teaching practice is a mandatory requirement for graduation from College of Education in Nigeria. The objectives of the study was to find out the variance components for persons, occasions and person crossed with raters and residual, generalizability coefficient and the dependability index (indices). Two facets crossed with raters design was used.1, 393 students participated in the study. Scores of students’ in 2016/2017 teaching practice course obtained was data used. The data obtained were analyzed using variance components (VARCOMP), relative error variance, absolute error variance, and indices statistics. The findings of the study were that: variance accounted for in 2016/2017 students’ teaching practice by the following components were, persons (o 2 p) = 0.02 occasions (0 2 0 ) = 0.03 interaction of persons with occasions (0 2 p0 ) = 0.05 and residual (0 2 prqe ) = 0.15, generalizability coefficient 0.84 was obtained and dependability index of 0.74 was also obtained for students’ scores in 2016/2017 teaching practice course respectively. The study concluded that the indices of students’ scores in 2016/2017 teaching practice were high or acceptable. This implied that the quality of students’ scores in teaching practice course is standard. The study recommended that the sixteen weeks slated for teaching practice should be maintained .
Sistem Informasi Geografis Pasangan Usia Subur Di Kelurahan Tamarundung Kota Palopo Berbasis Android

The purpose of this research is to create an application that can help visitors / couples of childbearing age see the locations and data of couples of childbearing age in Tamarundung village. Where the researchers directly went to the object of research, namely UPTD KB Tamarundung Village, Palopo City to obtain data and information about couples of childbearing age. The research method used is the Prototype method where the stages in this method are Requirements Collection, Prototyping building, Prototyping evaluation, coding, testing, system evaluation and system use. This Geographic information system in its manufacture uses PHP and MySQL as a database, Google MAPS API & Web Server is used to implement the program and is tested with Black Box testing techniques. With this geographic information system, it can help visitors/couples of childbearing age to view information such as data on couples of childbearing age, location of couples of childbearing age, location of UPTD KB in Tamarudung Village, Palopo City and make it easier for UPTD KB in Tamarundung Village to manage data for fertile age couples.
The Cultivation and Importance of Playing and Singing Skills of Children’s Songs in the Context of “New Teacher-training”

The current training model of basic music education major in normal schools is mainly based on the model of professional music conservatories, failing to emphasize the nature of teacher-training, and as a result, the trained normal students generally lack the most important playing and singing skills in the basic music education stage.This paper analyzes the existing problems in the training of music education major in playing and singing skills in colleges and universities and proposes specific implementation measures to improve the playing and singing skills of normal students majoring in music education.Efforts should be made to pay attention to and infiltrate the training of playing and singing skills in the teaching of piano basics, vocal basics, impromptu piano accompaniment, and music teaching methods.Through the holding of competitions and concerts, it can be extended from inside and outside the class to practice, thereby improving the comprehensive quality of students, adapting to the needs of basic education, and promoting the improvement of the quality of basic music education.
Track Finding for the PANDA Detector Based on Hough Transformations

The PANDA experiment at FAIR (Facility for Antiproton and Ion Research) in Darmstadt is currently under construction. In order to reduce the amount of data collected during operation, it is essential to find as many true tracks as possible and to be able to distinguish them from false tracks. Part of the preparation for the experiment is the development of a fast online track finder. This work presents an online track finding algorithm based on Hough transformations, which is comparable in quality and performance to the currently best offline track finder in PANDA. In contrast to most track finders the algorithm can handle the challenge of extended hits delivered by PANDA’s central Straw Tube Tracker and thus benefit from its precise spatial resolution. Furthermore, optimization methods are presented that improved the ghost ratio as well as the speed of the algorithm by 70 %. Due to further development potential in terms of track finding for secondary particles and speed optimization on GPUs, this algorithm promises to exceed the quality and speed of other track finders developed for PANDA.
Optimization of Student Service in College and University Against the Context of Internet Technology

The Internet technology has been mature and widely used, and the new media communication mode has been accepted and sought after by more and more college students on campus.College and university in China are constantly promoting information construction: smart campus supported by new media technology helps to optimize student services.This article studies how to fully utilize the Internet in student service on campus by adopting research and case studies to analyze the role of technology and college students & apos.And the subjective initiative should be actively brought into play to further optimize campus student services in the way students like best.
Prediction of Solar Radiation using hybrid algorithm of Random Forest and Particle Swarm Optimization

Due to increased pollution, greenhouse effect and global warming resulting from power production using fossil fuels, there is increased penetration of renewable energy sources into the power production system. Over the last few years, solar radiation has become a significant means of power production using solar panels and the concept of microgrids has made solar power an indispensable source of power in the distribution system. The power production using solar energy is highly variable and weather dependent which creates a power imbalance into the system when it is penetrated without forecasting. Therefore, solar power prediction plays a critical role in the proper usage of solar energy while keeping the system stable. For automating the power system the forecast needs to be very accurate and thus, it is needed to improve the existing forecasting techniques. In this study, we have proposed a solar radiation scheme based on various meteorological factors, including temperature, humidity, wind speed, and others and used this data for building a machine learning model for prediction. We introduced a hybrid model for prediction which optimizes the parameters of Random Forest using Particle Swarm Optimization technique. The results show empirically that the hybrid RF-PSO model significantly improves the prediction accuracy and reduces the MAE error.
Generating Vocabulary Sets for Implicit Language Learning using Masked Language Modeling

A well-balanced language curriculum must include both explicit vocabulary learning and implicit vocabulary learning.However, most language learning applications focus on explicit instruction.Students require support with implicit vocabulary learning because they need enough context to guess and acquire new words.Traditional techniques aim to teach students enough vocabulary to comprehend the text, thus enabling them to acquire new words.Despite the wide variety of support for vocabulary learning offered by learning applications today, few offer guidance on how to select an optimal vocabulary study set.This paper proposes a novel method of student modeling with masked language modeling to detect words that are required for comprehension of a text.It explores the efficacy of using deep learning via a pre-trained masked language model to model human reading comprehension and presents a vocabulary study set generation pipeline (VSGP).Promising results show that masked language modeling can be used to model human comprehension and the pipeline produces reasonably sized vocabulary study sets that can be integrated into language learning systems.
Design of Oppositional Glow worm Swarm Optimization based Resource Scheduler on Big Data Environment

Big data is commonly used to support significant exploitation of processing resources, concentrating on on-demand services and resource scalability.  With numerousmethods available, controlling massive quantity of data in several data centers is still a tedious task. Particularly, resource scheduling (RS) is treated as a way of distributing resources by an efficient decision-making process with the aim of assisting desired tasks over time. The combination of heterogeneous computing resources using the Big Data users enables the chance of minimizing the energy utilization and maximizing resource efficiency. But the state of art RS techniques needs to boost the scheduling performance in the big data environment. In this aspect, this paper designs an Oppositional Glowworm Swarm Optimization based Resource Scheduling (OGSO-RS) scheme for big data environment. The proposed OGSO-RS technique aims to allocate the resources proficiently in the big data platform. The searching area and a large amount of data are provided as input to the geo-distributed datacenter, where the population initialization of glowworms takes place. In addition, the MapReduce function computes the optimal resource, and thereby the efficiency can be improvised. Moreover, the load can be allotted to the datacenters by minimizing the computational cost and storage area.  In order to showcase the improved performance of the proposed OGSO-RS technique, a series of experiments were carried out. The simulation results highlighted the betterment of the RS efficiency of the OGSO-RS technique compared to other existing approaches.
SOSIALISASI DAN PELATIHAN PENERAPAN TEKNOLOGI INFORMASI DALAM BIDANG PENDIDIKAN PADA MASYARAKAT PEKON BANDUNG BARU

The development of science and technology today is so rapidly, making information systems have a vital role in trying to make progress in all areas of human life. As one of the areas that take advantage of technological advances, developments in education are certainly happening. Recognizing this, a movement is needed to introduce and provide further deepening to the community about the application of information technology developments in the field of education, especially in the people of Pekon Bandung Baru. This socialization and training aims to provide understanding to the public about the application of information technology in the field of education.
Measuring Respiration Rate Based on Android

Abstract-Respiratory rate is the total number of breath or breathing cycle, which occurs every minute. Abnormal respiratory rate is a sensitive indicator for danger patients requiring medical treatment immediately. The objective of the study is to design a respiration rate monitor via an Android mobile phone. In this study, we used flex sensors to detect the respiration rate. The flex sensors were placed in the human stomach diaphragm which detects the changes in the human stomach diaphragm during breathing. The measurement results are displayed on the liquid crystal display (LCD) 2 x 16. The data will be sent via a Bluetooth connection to the android to display the values and graphs. The comparison between the design and standard showed that the maximum error is 4.69% while the minimum error is 1.52%. The average error for all measurement is 2.83%. It can be concluded that the tool wear is eligible because it is still below the minimum threshold of 10% error.
PENGARUH METODE TOTAL PHYSICAL RESPONSE (TPR) DALAM MENINGKATKAN VOCABULARY UNTUK MAHAMAHASISWA KEPERAWATAN DI INSTITUT KESEHATAN DELI HUSADA DELI TUA

The research aims to measure the effect of total physical response method for Health Information Management students at Health Institute of Deli Husada Deli Tua. The study method used quantitative approach to find out the answer of the problem of study. There were two classes be coming sample of study namely Nursing 2A as experiment group and Nursing 2B as control group with the total number students of each classes are 35. The sample of study is determined using population sampling technique. Both groups were given pre- test before treatment. Then, the student of experiment group was taught by TPR and control group was taught without TPR. Finally, the writer gave post-test to both groups. Based on the calculation above, the writer found out that the mean score of the experimental group (3-A) was 61.67 and the means score of the control group (3-C) was 52.27. With the level of significance at 5%, the writer found out that the observed t (to) was 1.85. Since to is greater than the table, Ho is rejected and Ha is accepted. It meant that total physical response gives effect on the students’ vocabulary size of the nursing students at Health Institute of Deli Husada Deli Tua.
El impacto de la vida digital en el mundo social

A group of authors, through their editorial coordinator, present this book in a very generous and disinterested way and make it available to all of us. This material is the product of the First Meeting of Researchers Impact of digital life in the social world, held at the FES Iztacala in 2017. In effect, they are the results of empirical research, documentaries, essays and intervention reports, mainly on the social and cultural impact of the development of technology and digital life.
A Methodology for Efficient Sketch Based Image Retrievals Based on Correlation Based Matching and Generalized Gamma Mixture Model (GGMM)

The huge developments in touch screen devices and used in Computer vision developed the methodologies for recovering the images based on content. However in certain situations narration is the best suitable way to express and hence in the views of narration sketch based images are thus developed and utilized. These sketch based images are most useful in identifying face in criminal investigations. This paper provides a methodology for retrieving such sketch based images using the correlation based matching and generalized gamma mixture models. Performance is measured using precision and recall.
Electronic Voting Machine Based on IRIS Authentication

In every election, the commission is facing plenty of troubles and problems throughout the election. The foremost and familiar issue faced by the commission is inappropriate confirmation with relevance to the arrangement of casting the votes, duplication or illegal casting of votes. In this paper, a secure and new electoral system is developed to enhance the present legal system using iris recognition. Iris, one amongst the foremost secure biometric of person identification. The counting of vote is going to be immediately which makes voting process efficient, fast, and secure. There by can reduce the proxies drained the election system or electoral system and elect the right candidates as rulers. All details are updated to web server through IOT. The main goal of this article is to avoid duplication of casting votes.