Reviewerly/exHarmony huggingface dataset:
PENDAMPINGAN PENULISAN LKS BAGI GURU PONDOK PESANTREN MAZROILLAH KOTA LUBUKLINGGAU

Community service aims to: 1) motivate the Mazroillah Islamic Boarding School teachers to compile their own LKS assisted by QR Codes according to the needs of students and teachers who have their own characteristics; 2) Creating worksheets that suit the needs of teachers and students; 2) Utilizing the potential of teachers to use the QR Code-based worksheets that they created; 3) Produce interesting worksheets; 4) train and familiarize teachers with writing in any form, whether scientific, non-scientific, or writing worksheets; 5) prepare teachers to be able to follow IT developments. The problems faced by teachers at Mazroillah Islamic Boarding School are as follows: 1) lack of reference sources (literature); 2) difficulty in creating LKS with the help of QR Code; 3) Difficulty in determining the right material with the help of a QR Code. The solutions offered in community service activities are carried out by: 1) Providing opportunities for teachers to review the Competency Standards / KI and Basic Competencies (KD) contained in the 2013 KK to be used as the basis for writing LKS; 2) Making teachers independent in using learning resources and not always depending on the school; 3) Provide motivation and enthusiasm that teachers are able to produce quality worksheets so that they can compete with book publishers; 4) Train teachers to have writing skills, both writing scientific works and worksheets; 5) provide opportunities for collaboration between STKIP-PGRI Lubuklinggau institutions and partner schools in terms of library utilization
Bibliography

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.
Universal Optics with Programmable Multimode Interference

We show that multimode interference programmable optics benefit from the simple algorithmic construction and length scaling of state-of-the-art programmable pho- tonic circuits, while featuring orders of magnitude reductions in width and losses.
THE EFFECT OF USING AUDIO VISUAL MEDIA ON FLOOD DISASTER PREPAREDNESS KNOWLEDGE AT ST ANTONIUS MATARAM SMP

Flood disaster is one type of natural disaster that very often occurs in Indonesia, Indonesia experienced flood events according to the Indonesian Disaster Information Data (DIBI) for the last 5 years as many as 4031 times and in the province of West Nusa Tenggara (NTB) it showed a number of 111 flood events with One of them was Mataram city which experienced 11 incidents and West Lombok flooded 26 times. Disaster prevention is one of the focuses in schools by empowering teenagers to understand knowledge about disaster preparedness in students as one solution that needs to be done because children are one of the vulnerable groups who are at risk of being affected by disasters. The purpose of this study was to determine the effect of using Audio Visual media on knowledge of flood disaster preparedness at SMPK ST Antonius Mataram.The population in this study were students in grades VII and VIII, totaling 62 people. The sample in this study as many as 58 people with a sampling technique that is purposive sampling with inclusion and exclusion criteria. The research design used in this study was pre-experimental through a one group pre-test-post-test design approach. Data collection techniques using questionnaires. Analysis of this data using statistical test data analysis Wilcoxon signed rankings test.Based on the results of the study, there was an effect of using Audio Visual media on knowledge of flood disaster preparedness at SMPK ST Antonius Mataram.
Mapping Knowledge Flows in ExploratoryWeb Searches

This paper provides an understanding of the knowledge flow in exploratory Web searches.Based on the Design Science Research epistemology, we represented the information-gathering behaviour and uncovered the knowledge flow of Web searchers as a Knowledge-intensive Process (KiP).By mapping searchers' steps and paths during Web searches, representing their search patterns and decision-making process, it was possible to reveal the knowledge flow and infer the resources more likely to be selected to meet the searchers' information needs.With the help of six teachers, we applied the Think-Aloud method in a scenario where they searched for online (educational) resources on the Web.The application of the Think-Aloud method made knowledge-flow processes explicit throughout Web searches.The results can support new strategies for information retrieval systems and be applied to support expertise exchange and innovation.
The Teaching Model of Follow-up Writing after Reading in Senior High School English Based on Interactive Perspective

With the continuous implementation of the new curriculum reform policy, new requirements have been put forward for the teaching mode reform of the majority of front-line teachers, and the teaching mode based on the perspective of interaction arises at the historic moment. According to the current actual teaching situation, there are some problems and deficiencies in the after-reading English writing class of senior high school. We need to take interactive teaching mode as the starting point to find a new teaching idea for enhancing the after-reading English writing ability of senior high school students.
On the Problem of Personalization of Higher Education in Russia

The process of social transformation taking place in the world and in Russia, expressed in education reform programs, is changing the role of educational organizations in society and the economy and, probably, in culture as a whole. New players on the educational services market that has emerged in Russia (international IT corporations, etc.) in many ways initiate these changes or have a great impact on the structural and substantive restructuring of Russian higher education. The purpose of the article is to investigate what is happening with Russian higher education, the preconditions and trends of transformation of the domestic model of education are analyzed. Within the framework of the goal, the task to explore the components of this transformation is solved: digitalization and personalization (individualization) of the learning process. The source of the study was strategic documents on the development of national education and the practice of their implementation in individual educational institutions. Research methods – theoretical analysis and synthesis. The results of the research are set out below: the problems of educational institutions that arise in the implementation of the «request» for the personalization of education have been identified; some conceptual gaps in strategic documents are identified that make it difficult for performers to comprehend the goals of digitalization of education; some organizational reasons are indicated for which the implementation of the concept of individualization (personalization) of education for students in practice is difficult.
NoSQL A Solution for Handling Big Data

The data produced nowadays is the Big data which is unstructured, semi-structured or structured in nature. It is difficult for SQL to handle such large amount of data with varied forms so NoSQL was introduced which gives many advantages over SQL. It is a schema less database which allows horizontal scaling, scalability and distributed framework. SQL is based on ACID properties (Atomicity, Consistency, Isolation, Durability) whereas NoSQL is based on BASE (Basic Availability, Soft state, Eventual consistency). This paper introduces the concepts of NoSQL, advantages of NoSQL over SQL, different types of NoSQL databases with special reference to the document store database, MongoDB. It explains in detail about the MongoDB and then experimentally evaluates the performance of the queries executed in SQL and NoSQL (MongoDB). The experiment conducted shows that NoSQL queries are executed faster as compared to SQL queries and can also handle huge amount of unstructured data very effortlessly and easily.
Rapid Selection of Machine Learning Models Using Greedy Cross Validation

This paper introduces a greedy method of performing k-fold cross validation and shows how the proposed greedy method can be used to rapidly identify optimal or near-optimal machine learning (ML) models.Although many methods have been proposed that apply metaheuristic and other search methods to the hyperparameter space as a means of accelerating ML model selection, the cross-validation process itself has been overlooked as a means of rapidly identifying optimal ML models.The current study remedies this oversight by describing a simple, greedy cross validation algorithm and demonstrating that even in its simplest form, the greedy cross validation method can vastly reduce the average time required to identify an optimal or near-optimal ML model within a large set of candidate models.This substantially reduced search time is shown to hold across a variety of different ML algorithms and real-world datasets.
Preface

Abstract The WSSMA 2020 is the 2020 World Symposium on Smart Materials and Applications (WSSMA 2020) had planned to take place in Bangkok, Thailand, on July 17-19, 2020. But currently, the entire world is struggling against the virulent pandemic COVID-19, so that the WSSMA 2020 conference changed the presentation method from Oral presentation to Remote Video Presentation to help with Global Quarantine Activities. The Virtual of WSSMA 2020 was held on Incheon National University at Video Conference Meeting Room on July 17-19, 2020. The WSSMA Committee members attended conference at on-site and also authors attended the conference as Video Meeting. The conference program covered Invited Keynote Speech, Oral, and Poster Presentations, they presented their presentation 15 minutes including Q&amp;A time. This conference will bring together leaders from industry and academia to exchange and share their experiences, present research results, explore collaborations and to spark new ideas, with the aim of developing new projects and exploiting new technology in this field. The committee of WSSMA 2020 expresses their sincere thanks to all authors for their high-quality research papers and careful presentations. All reviewers are also thanked for their careful comments and advices. Thanks are finally given to IOP Publication as well for producing this volume. The Organizing Committee of WSSMA 2020 Committee Chair Prof. Mosbeh Kaloop Incheon Disaster Prevention Research Center Incheon National University Conference Photograph Sponsors Recently, various efforts to prevent and prepare are vitally needed for prevention of Disasters and calamities. So we understand the necessity for technology of disaster and we built up the Incheon Disaster Prevention Research Center (IDPRC) in Incheon National University (INU) in 1997. Accordingly, Incheon Disaster Prevention Research Center (IDPRC) in Incheon National University has progressed of research on the prevention of disasters and calamities through the various seminars, conference and lectures. These research could be conducted cooperation with Incheon National University (INU) in various fields’ structure, soil, hydraulic and environment. Incheon Disaster Prevention Research Center (IDPRC) will try to be a leader in the disaster of industry through the various research activities and global conference. Lists of Committees
Intelligent Computer Systems As A Technology For Development Of Students’ Creativity

The modern stage of the higher education transformation is characterized by research and implementation activities of pedagogical technologies allowing one to ensure quality formation ofgeneral culture and professional competencies of the future specialists. Effective resolution of challenges facing scientific and technical spheres largely depends on the quality training of students, on their ability to use information and communicative, intellectual potential of these techniques. This article examines the didactic readiness of the higher school educators to use innovative computer technologies in the educational process. Data obtained from the study prove that the content of professional development programs for postgraduate and additional professional education listeners should be updated concerning didactic issues of application of intelligent computer systems (ICS) in educational process. The paper emphasizes that modern ICSs allow one to incorporate considerable changes into the practice of educational process realization in the higher educational institutions. An activity of the educator is guided to create conditions for formation of professionally significant competences of students capable using ICSs to create various reality models. The educational landmark now is not a simple acquisition and even not possession of knowledge, but formation of capability in self-organization of educational, scientific, professional activities, livelihoods, ability for acquisition and development of general cultural and professional competences. The task of a teacher is to train students to operate in conditions close to real life situations requiring extraordinary approach, ability to navigate and make right decisions in non-standard situations, in uncertainty conditions.
Neural Network

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.
Multi-Perspective Interactive Model for Chinese Sentence Semantic Matching

Chinese sentence semantic matching is a fundamental task in natural language processing, which aims to distinguish whether two Chinese sentences are semantically similar or not. Originated from English semantic matching task, most existing matching methods merely focus on learning the sentence representation from word granularity, but neglect the uniqueness of Chinese characters and the semantic interactions within a sentence on different granularities, and the interactions between sentences. As a result, most existing matching methods on Chinese language only achieve very limited performance improvement. In the paper, we propose a multi-perspective interactive (MPI) model for Chinese sentence semantic matching, which first employs a multi-granularity encoding layer to transform the characters and words in sentences into their embedding representation, then devises a multi-perspective interactive layer to capture the intra-sentence interactions within a sentence but on different granularities and the inter-sentence interactions between sentences. Finally, a prediction layer takes all the captured interactions as input to estimate the matching degree. We also conduct extensive experiments on real-world data set to assess the model performance. The extensive experimental results demonstrate that our proposed model achieves significantly better performance than the compared benchmarks.
The Influence of Self-Concept on The Learning Achievement of Children Aged 5-6 Years at RA Perwanida Bendunganjati Pacet

Learning achievement of early childhood indicates how much a child can fulfill his developmental assignment according to the child's age stage. Therefore, a child's learning achievement must be maximized so that this golden age does not pass unnoticed. Various factors influence a child's level of achievement, one of which is the self-concept. Field data indicate that some behaviors indicate a negative self-concept. On the other side, a child's learning level has not been evenly distributed. This study aims to know: 1) profile of self-concept of aged 5-6 years old children; 2) Profile of learning achievement of 5-6 years old children; and 3) the effect of self-concept on the learning achievement of 5-6 years old children in RA Perwanida Bendunganjati Pacet. This study used the correlational quantitative research method. The population in this study was 5-6 years old children at RA Perwanida Bendunganjati with 23 children sample specified by purposive sampling technique. The results showed an effect of self-concept on the learning achievement of 5-6 years old children in RA Perwanida Bendunganjati Pacet positively and significantly. This can be seen from the result of a simple linear regression equation that amounted to Y = 190,631 + 1.376X. The positive validity regression coefficient showed its positive direction of the variable effects X to Y, meaning the higher the value of the variable X, it will be higher the value of the Y variable. The percentage of the effects of self-concept on learning achievement is 36.2%.
Designing Stereoscopic Animation for Bromo Tengger National Park Virtual Tour as Alternative for Conservation Education in Pandemic Era

The need for travelling has become a primary need for Indonesian people.However, Covid-19 pandemic that is currently happening gives negative impact on the tourism sector.The government is forced to limit tourism activities in many tourism destinations, especially in districts or cities with high covid-19 cases.One alternative way to provide a traveling experience without having to be in the actual destination is using a virtual tour.Virtual tour is a technology that increases situational awareness and the ability to see, and captures and analyzes virtual data to users.Virtual tours are usually used to give the experience of "being" in a place by simply looking at the screen, without having to be in the actual destination.Stereoscopic is a technique of presenting a content by giving the illusion of depth and pop-out in 2-dimensional images.Generally, we often see the stereoscopic technology in 3D Cinemas and 4D Rides.In 3D cinema, stereoscopic films are presented using a special screen with a special projector that can show side-by-side images simultaneously, with the 3D special glasses for enjoying the content perfectly.With the combination of virtual tour and stereoscopic technology, it is expected that it can provide the same experience as an actual experience.To do this research, the authors use design thinking method, by using the natural tourism Bromo Tengger National Parks as a case study area.The results of this study are expected to be consideration and used by the stakeholders as an alternative way of encouraging sectors affected by Covid-19, especially tourism.
The design of following controller for autonomous vehicle based on leader-follower strategies

Aiming at the problem of following control of autonomous vehicle, the following controller is designed based on Leader-follower strategies. First, the kinematic modeling is done. Next, Leader-follower model is used to describe the following structure and L − ϕ method is used to build error system. Then, The speed controller for the follower is designed to achieve the objectives. Finally, the simulation is done by Matlab, the results show that the controller is effective.
Research on the Design Concept and Teaching of Computer Aided Design Software

The Engineering training center is an important base to train the engineering quality and skill of university students, and it plays an important role in the university education. The ideological and political links of practical teaching are deeply studied and discussed, and the teaching results of Engineering Training Center are fully utilized to form a brand-new practical teaching form.
ILLUSTRATION AS AN OBJECT OF RESEARCH IN THE RUSSIAN SCIENTIFIC SPACE

The article provides a primary analysis of the Russian corpus of illustration studies as a systematic theoretical understanding of illustration. The author emphasizes the interdisciplinary nature of research on illustration as a sociocultural phenomenon. The presentation of the topic in Russian dissertation research, in periodical scientific and theoretical journals of various cultural and scientific institutions (universities, libraries, museums, research institutes), in thematic collections and monographs devoted to illustration as a media, artistic practice and visual research is studied. The necessity of studying and including educational projects and activities of independent researchers into the analyzed resources is additionally substantiated. The author draws attention to the ambiguity of the situation. On the one hand, there is a regular appearance of new events (exhibitions, conferences, articles, collections, dissertations) related to book, magazine and web graphics. On the other hand, most of the publications and studies are directed to historically remote objects, only a minimal number of scientists work with the present. The author records the disunity of the scientific community and weak interdepartmental communication in Russian illustration studies. The author also speaks about the need to create an interdisciplinary and international publication platform, uniting researchers of illustration of all forms of its modern existence, about the need for Russian specialized scientific and theoretical.
Development of 3D printable transparent friction-variable surface with protrusions

A friction-variable mechanism is useful in manipulation tasks. However, the conventional methods have limitations such as a lack of sensory systems. In this study, we develop a new friction variable surface that is compact, easy to manufacture, and is capable to directly observe the contact surface. Therefore, we propose a friction-variable surface that utilizes the elastic deformation of protrusions. By utilizing the change in contact area due to the elastic deformation of the protrusion, the friction is changed with a simple structure, enabling miniaturization. This protrusion can be fabricated by 3D printers with transparent elastic materials, which makes manufacturing easier. We also introduce a camera to observe the contact surface through the transparent skin.