Reviewerly/exHarmony huggingface dataset:
Addressing Natural Language Request Complexity: At Semantic Web Service Discovery Horizon

The wondrous influence of semantic web on Service-Oriented Architecture pushes it towards a realistic and self-driven architecture where publication, discovery, selection, composition, and monitoring of services are semi-automatically performed on the behalf of their hosts or mediators. In the direction of this realistic and self-driven architecture, this research work is adding one more realistic aspect of ‘interpretation of natural language request’ to making the service discovery more usable for novice users. Three contributions have been made: (1) description of natural language request using six-slab range (2) two algorithms for extraction, sub-request generation, inclusion of semantics and semantic matchmaking of natural language request, and (3) evaluation of proposed strategy with two semantic formalisms. The proposed algorithms handle each complex service request as an individual entity and extract the demand/s of the request by decomposing it to the simple request from conjunction, condition, and negation-oriented natural language request. The experimental evaluation of the proposed strategy signifies the given algorithms. The proposed work and result evaluation is a part of on-going research on a generic discovery mechanism for semantic web services.
Typographic Portrait Generator Using Image Processing-Project Application

Abstract: Typography portrait is a portrait made up of words. The face of a person has different shades and distinct features. In order to make a typography portrait the distinct shades and features need to be clearly extracted. Existing systems focus only on the different shades of the face. They fill the face with word clouds without any regard for the distinct features of a face. This project will consider not only the shades of a face but also the features of a person’s face. The extraction of facial features will be done first and then text filling will be done accordingly. This project intends to create an application that will create a typography portrait having a much better visual appeal than the present systems. Keywords: Image Processing, Edge Detection, Image Segmentation, Face Recognition, Text Filling.
THE CONCEPT OF «PEDAGOGICAL TECHNOLOGY» IN THE PARADIGM OF EDUCATIONAL ACTIVITY

The article highlights and explores current issues related to the definition, interpretation and emergence of the concept of «pedagogical technology». The interpretation of synonymy and antonymy (dichotomy) of the concepts «educational technology» and «pedagogical technology» is considered. The interpretation of the definition in different periods and by experts from different countries is considered. In our opinion, the most successful interpretation of the concept is offered. The relevance of this study lies in the actualization of the concepts of pedagogical technology, as the last thorough research was done only in the twentieth century, and, consequently, the research issue must be modernized and brought to the realities of today. The aim of the article is to analyze the proposed interpretations of the concept of «pedagogical technology» and to identify the most acceptable and universal definition. The historical-comparative analysis of the concept of pedagogical and educational technology is made, the periods of origin and introduction into pedagogical practice ofdefinition are described. In this analysis the versatility and variability of the interpretation of the research question by foreign and nativ teachers-researchers were described and generalized. Theoretical research methods, namely: analysis, synthesis, abstraction, generalization, explanation were used during writing an article. The results of the researched problem can become a basis for further review and analysis of pedagogical technologies and will be of practical importance for research and selection of specific pedagogical technologies for teaching foreign language competence of teachers of different teaching cycles for professional growth in terms of self-education and lifelong learning. Different views of scientists on the understanding and interpretation of pedagogical technology are described. The conclusions made in the article indicate the need to differentiate the concepts of educational technology and pedagogical technology. The results of this article can be used by scientists in the study of topical issues of pedagogical activity and serve as a basis for further research.
The Influence of Health Facilities Information System Application in The Business Process of Clinic Bunga Melati

In this competitive business era, Klinik Bunga Melati (KBM) has changed its business and management strategies 3 times in the last 2 years with the aim of adjusting internal and external conditions in the health sector and make KBM superior to other competitors. KBM expects the development of technology that can be applied efficiently and integrated between KBM internally. In 2018, KBM teamed up with the Badan Penyelenggara Jaminan Sosial (BPJS) Kesehatan. In this regard, BPJS provides a Health Facilities Information System (HFIS) with the aim of making it easier for health units to make claims. But the leader of the KBM considers HFIS not suitable to be implemented in the KBM Welirang Branch. The KBM Welirang Branch staff must do 2x recapitulation of patient medical records every day. There are quite a lot of variables in HFIS besides self-data, staff must also write data related to diagnosis, details of drugs used, drug costs, and doctor's fees. Based on the KBM leaders interview, this is considered to be very time-consuming and costly because HR has to work 2x more and patients need more time to get action. HOT-Fit method is considered suitable for this research because this model can provide an explanation and provide an evaluation of the application a system in the field of health services from human factors (human), technology (technology), organization (organization) and net benefits. The output of this research is an analysis of aspects that need to be improved and the match rate of HFIS implementation in the KBM Welirang.
Understanding of Teachers and Healthcare Professionals about their Professional Development

Changes in technology use and globalization are leading to significant changes in the structure of the labor market, emphasizing the need for labor market participants to learn continuously and acquire new knowledge and skills in order to adapt to a rapidly changing work environment. Economists point to the risks posed by technological development, such as the reduction of low-skilled jobs as a result of digitalization and automation processes. Although professionals working with people, such as healthcare professionals and teachers, are less exposed to the risk of automation, they are still increasingly unstable as technology and artificial intelligence compete with human experts. This means that medical and education staff will also need more targeted, regular and labor market-oriented professional development in order to remain competitive and demonstrate demand-driven performance. In line with changes in the quality standards of professional performance for healthcare professionals and teachers, changes are also taking place in how the professional development of these groups is implemented. In addition to formal development activities such as courses and seminars, the need to accept the impact of informal learning is emphasized, not only expanding the aims and content of professional development activities but also offering new learning formats. The aim of the qualitative research conducted by the authors is to study the understanding of teachers and healthcare professionals about their professional development by analyzing their answers regarding their professional development. The focus of the study has been chosen to test the assumption that healthcare professionals and teachers view their continuing education more in the context of formal training, with less emphasis on professional development through informal learning. Within the framework of the research, a survey of random respondents within the said target groups has been conducted and the answers of the respondents have been analyzed, with attention paid to the aspects of formal and informal learning. The article presents the results of the content analysis, highlighting the most important trends of study results and the problematic aspects related to the improvement of the quality of professional development.
Shadowing Technique To Improve Student’s Listening Skill

The condition that occurs in the classroom is that students are afraid of English. Students feel that learning English is difficult to memorize. Students have learning difficulties because the teacher does not apply a suitable learning model for students. This causes students to feel bored in learning and has an impact on students' low English skills. The purpose of this study is to analyze the shadowing technique in learning English for students. This type of research is classroom action research. The research subjects were 17 students. There are four main parts of classroom action research, namely planning, action, observation, and reflection. The methods used to collect data are observation, interviews, and questionnaires. The technique used to analyze the data is descriptive qualitative and quantitative analysis. The study results are the average value, from 73.2 in the first cycle to 76.0 in the second cycle. The percentage of students who passed the KKM also increased from 59% to 78%. Listening skills improve after the application of shadowing techniques. The key is that the application of shadowing techniques can improve students' listening. This research implies that teachers can apply shadowing techniques in the classroom. The application of shadowing techniques can create a fun learning atmosphere for students to improve students' listening skills.
Foreign Language Learning Process at an Early Age and Its Impact on the Native Language Education

Perhaps the most complex question risen among linguists, psychologists and philosophers is how a child learns foreign language? Considering that language learning is natural and that babies are born with the ability to learn it since learning begins at birth, still Language learning (be it native or foreign) is a process that is not simple and short. It takes time, patience and self-discipline. Independent from some internal and external factors that are found inside and outside of every learner and which differ from each and every person this process has its pros and cons. A foreign (English) language learning at an early age has evolved considering modern technologies and methodologies used by individual learners and teachers. The earlier the language is learnt the more fluent the speaker is, but what happens to the mother tongue? Is the child well understood by the community, school teachers and friends? What is the progress of that child at school, what are psychological effects of technology used in the process of learning a language, what is the best age to learn a foreign language? , etc. These and many other questions will be discussed in this paper. The findings of this paper are assumed to also identify teachers’ perceptions about the main challenges they face during the classroom management with foreign language speakers in the classroom, the strategies they use, parents’ attitude toward this and also to find out some steps that parents and native language teachers should take to improve the situation.
Pelatihan dan Pendampingan Mata Pelajaran Bahasa Inggris bagi Siswa-Siswi Sekolah Dasar Negeri Leyangan Terdampak Pandemi COVID-19

Since the study from home system was implemented, several obstacles were found, especially for students at Elementary School of Leyangan in RT 004 RW 002 Dusun Krajan Desa Leyangan Kecamatan Ungaran Timur, Kabupaten Semarang. The students were difficult to learn the subjects by themselves, expecially for English subject. The main obstacles of study from home were lack of teacher’s direct explanation and lack of parents’ attention and mentoring. Based on this explanation, students needed face-to-face training and monitoring, especially the 'Self-Introduction' in English subjects. Through the USM’s Students Community Services Back to Village program, student focused on community service for face-to-face training and mentoring to improve the English skills for students at Elementary School of Leyangan. The community services method used was directly explanation and speaking practice for the given example sentences. The participants were required ro listen, rewrite and practice to speak for the given subjects. The mentoring was held in June 2021 with the COVID-19 health protocol face-to-face method. Evaluation results of the speaking pratice showed increment in students' knowledge and skill of 'Self-Introduction' subject and better pronunciation.
Zero-Shot Dialogue Disentanglement by Self-Supervised Entangled Response Selection

Dialogue disentanglement aims to group utterances in a long and multi-participant dialogue into threads.This is useful for discourse analysis and downstream applications such as dialogue response selection, where it can be the first step to construct a clean context/response set.Unfortunately, labeling all reply-to links takes quadratic effort w.r.t the number of utterances: an annotator must check all preceding utterances to identify the one to which the current utterance is a reply.In this paper, we are the first to propose a zero-shot dialogue disentanglement solution.Firstly, we train a model on a multi-participant response selection dataset harvested from the web which is not annotated; we then apply the trained model to perform zero-shot dialogue disentanglement.Without any labeled data, our model can achieve a cluster F1 score of 25.We also fine-tune the model using various amounts of labeled data.Experiments show that with only 10% of the data, we achieve nearly the same performance of using the full dataset 1 .
Optimized Content Adaptive Approach for Image Detailed Enhancement to Reduce Color Distortion

Digital imaging has significantly influenced the outcome of research in various disciplines. For example, artificial intelligence and robotics, biometric security, multimedia and image processing, etc. Technically, image processing and the Human Visual System (HVS) relies heavily on image enhancement to improve the content of the image. One of the biggest challenges in image processing is detail enhancement due to halo artefacts and gradient inversion artefacts at edges. It has been used to enhance the visual quality of an image. Most algorithms that used to enhance the detail of an image essentially depend on edge-preserving decomposition techniques. in general, the image consist of two major elements are a base layer and a detail layer, which extracted by edge-preserving decomposition algorithms. The detail layer is enhanced to improve the details of the generated image. we propose in this paper, a new model to preserve the sharp edges and achieve better visual quality than the existing norm-based algorithm to enhance the details of the image. Experiments show that the proposed method reduces the distortion at the edges. It improves the details of the generated image significantly.
Technological Advancement and its Legal Impact with regards to Cyber Crimes

The disclosure and creation stage in science is the advancement of technology. In the close to term, a few new advances are probably going to be executed all in all. Mechanically helped culpability includes a wide scope of crimes that posture fluctuating kinds of threat to customers, undertakings and, all the more comprehensively, society all in all. Progress has prompted Nano technology and others being created. In contrast with offenses carried out utilizing PCs, cybercrime has taken the best position. Kids have assumed a critical part in digital crime. To dissuade and indict digital assaults, the enactment has taken a few measures. While there are various laws and enactment encompassing sway issues, legal authority will in general block its fruitful execution, making the instrument and construction of criminal equity ineffectual. The motivation behind this paper is to feature the various issues identified with technology and crime: the Legal System, for example, examination and ID issues, court methods and structures for the organization of equity.
Complex competency-based model of the intending foreign language teacher

Introduction. Significant transformation of the requirements for teacher training in the light of the rapid development of technology, economy and society and, as a result, the clarification of the list of competences that need to be formed in a graduate of a pedagogical university, as well as the increase of the role of foreign language learning in the school education, actualize the necessity to revise the constituent elements of the competence model of a future foreign language teacher. The aim of the research is theoretical substantiation of a comprehensive model of practical training of a teacher and identification on this basis of the basic components of the intending foreign language teacher’s professionalism. Materials and methods. The research is based on the content analysis of regulatory documents and international standards in the field of professional competence of teachers, as well as on the theoretical analysis of current scientific publications on the topic of teacher’s competence training in the higher education system and the axiological analysis of the subjective experience of practical training of intending foreign language teachers at Saratov State University (n = 478). Results. The presented complex competence model of the intending foreign language teacher is based on four selected elements of practical training: communicative-language, linguodidactic, quasi-professional methodological and actual practical training of preservice teachers at schools. The universal nature of the developed model is based on the interdependence of its constituent competences and skills, corresponding to both the currently accepted changes in educational and professional standards, and the prospective development of educational programs and projects. This allows it to be used in the development of educational programs and productive curricula for the students with their major in pedagogical education.
PENERAPAN MODEL PEMBELAJARAN ADVANCE ORGANIZERS UNTUK MENINGKATKAN PERHATIAN DAN PRESTASI BELAJAR SISWA (Studi pada Mata Pelajaran Komputer dan Jaringan Dasar Kelas X TKJ di SMK Negeri 1 Jarai)

This study aims to describe the application of the Advance Organizers learning model to increase student attention and learning achievement in Computer and Basic Network subjects in the tenthgrade students of TKJ at SMK Negeri 1 Jarai. The research design used was classroom action research and quasi-experimental. The research subjects were students of class X.a TKJ SMK Negeri 1 Jarai even semester of the 2020/2021 school year. For the quasi-experimental sample, class X.b and class X.c as the control class. The research instrument used observation sheets and tests. The research data were analyzed using descriptive statistics, mean, percentage, and t-test. The results showed that the application of the Advance Organizers learning model could increase student attention and learning achievement in Computer and Basic Network subjects of the tenthgrade students of TKJ at SMK Negeri 1 Jarai.
Chirality Switching in Ferromagnetic Nanostructures Via Nanosecond Electric Pulses (Ann. Phys. 10/2021)

Ferromagnetic Nanostructures Vortex type ordering of magnetization is often reported to stabilize in ferromagnetic nanodiscs. As presented in article number 2100167 by I. B. Misirlioglu and co-workers, chirality of a vortex can be clockwise or counter clockwise that can represent states to be used as information bits. Their deterministic manipulation is possible via nanosecond electric pulses along the plane normal, asymmetric in time that generate tangential magnetic fields coupling to the magnetic dipoles.
Efforts to Improve Teachers' Ability in Using Learning Media Through Supervision Techniques for Class Visits

The low quality of human resources, especially educators/teachers, is one of the main problems in the world of education. Like the fact that happened at SDN 001 Seri Kuala Lobam, especially the use of media in learning activities in the past year, based on the results of the supervision of the principal on 6 teachers, it was found data that in the implementation of learning teachers did not use media. The teacher explains more about the material even though the material can be clarified with easily available media, both media available at school and around the school. Of the 21 teachers at SDN 001 Seri Kuala Lobam only 5 people (25%) have used media in learning activities while 16 people (75%) still do not use media. With these problems, it must be immediately addressed by efforts to increase the ability to supervise teachers with inter-class visits. The inter-class visit technique is an activity carried out by one teacher visiting another class in the school environment itself. This inter-class visit can be done individually between teachers or a group of teachers visit a teacher. Through these inter-class visits, it is hoped that teachers will gain new experiences from their more professional peers. School Action Research (PTS) with the subject of teachers at SDN 001 Seri Kuala Lobam, Seri Kuala Lobam District, amounted to 41 people. This research was carried out in two action cycles with 2 meetings in each cycle. In each cycle, there are planning, implementation, observation, and reflection activities. The instrument used is an observation sheet. Observational data were analyzed descriptively qualitatively and descriptively by quantitative percentages. The results showed an increase in the teacher's ability to use learning media wherein cycle 1, meeting 1 was 60% in the sufficient category, increased at meeting 2 to 67% in the good category. In cycle 1I, meeting 1 increased to 75% in the good category and there was an increase at meeting 2 to 85% in the very good category. Implementation of supervision with inter-class visits technique in cycle I meeting 1 was 64% with good category increasing to 76% with the good category at meeting 2, In cycle 2 meeting 1 increased again to 81% with very good category and at meeting 2 to 88% with very good category.
Rule-Based Classification using Multi Soft Set Theory

One of the important data mining functionality is classification. Presently, different methods exist for implementing classification. Rule-based classification using decision tree induction method is a conventional and simple method for identifying an unknown class of a given object. This method has a set of demerits and to remove these demerits, we depend on a soft computing tool which is known as soft set theory. One branch of soft set theory is called - multi soft theory- and it has a wide range of applications in the area of classification. We made a certain alteration in the rule-based classification using decision tree induction method by applying multi soft set theory. These changes will simplify the difficulties of the rule-based classification using decision tree induction method. The first two sections of this research work discuss introduction and preliminaries. In the remaining sections, the authors describe the multi soft set theory and its applications in rule base classification. Lastly, the paper finishes with a new algorithm, which the research scholars implemented as software using python programming. The suggested work experts can use in data mining industry. It has massive use in the fields of business, agriculture, health, education and many more.