Reviewerly/exHarmony huggingface dataset:
APLIKASI MHEALTH COVID-19 DI INDONESIA: ANALISIS KONTEN MENGGUNAKAN MOBILE APLICATION RATING SCALE (MARS)

It has been a year since the first COVID-19 cases in Indonesia and the development of COVID-19 health applications has grown significantly during that time. However, there has not been found research to analyze such an application in Indonesia. This study aims to evaluate the mHealth COVID-19 application in Indonesia application store, which will eventually become a reference for all researchers related to the mhealth application development in Indonesia. The researchers used COVID-19-related keywords to identify apps on iOS and Android devices. There were 17 applications selected for this research, and the applications' quality were assessed by two coders using the Mobile App Rating Scale (MARS). The search results totaled 842 applications, 19 of which met the researcher's criteria, and 17 applications were found to be assessed. This research was using the Krippendorff coefficient alpha (α) to calculate the reliability value of the agreement between coders. The result showed that PeduliLindungi applications had the highest (4.2/5) of the average MARS score, and the MARS scores of 14 applications were unacceptable (&lt;3.0), which explained that most of the COVID-19 related apps in Indonesia are of low quality. Also, this research implies that the information-related features should be the next focus for overall quality improvement of the Indonesian mHealth application in the future.
A Chaotic Elephant Herding Optimization-Established Classification (EHOC) for Large Dataset to expand the appearance of Heterogeneous Distributed Situation

Data clustering (or classification) is broadly exploited for an enormous range of applications in numerous regions such as education, remedial, invention, and organizations in heterogeneous distributed environments. The large heterogeneous data are processed and examined by using various classification methods to enhance the quality of important information transferring over distributed environment. Here, a Chaotic Elephant Herding Optimization based Classification (CEHOC) is implemented to classify the large amount of heterogeneous datasets to improve the performance of distributed computing. The key motive of CEHOC is to obtain a well arranged distribution of data elements over heterogeneous resources for distributed environment by utilizing some circumstances of chaos theory for population selection. The chaos function is introduced for improving the exploration and exploitation power of search agents in optimization algorithm and for performing the selection of centroids and members of classes (or clusters) optimally and precisely. The MATLAB 2021a tool is used to implement the CEHOC algorithm for four large datasets and the outcomes describe the superior effectiveness of CEHOC algorithm according to parameters like purity index, F-measure, intra-cluster distance, time complexity and standard deviation against previous algorithms such as K-Means, PSO, ACO and EHO.
A Collaborative Robotic Approach for Inspection and Anomaly Detection in Industrial Applications

Inspection and quality assurance is an important step in manufacturing systems, including newly manufactured or re-manufactured parts. Currently, there is a heavy reliance on the knowledge of experienced workers in interpreting the data from inspection sensors and detecting anomalies. Using robots to perform automated inspection becomes challenging in high-mix settings, where the work-pieces to be inspected change frequently and require the robot to be re-programmed. In this paper, we propose a human-robot collaboration approach, where part of the work involving fixturing, sensor attachment and work-piece handling is done by the human, whereas the data collection, processing and anomaly detection is done autonomously using AI techniques. Our inspection algorithm is a generic approach using dilated convolutional neural network (DCNN) based multivariate time series predictive analytics. We demonstrate our approach on a gearbox inspection application, where we use time-series data streams captured from vibration sensors mounted on the gearbox. We have conducted experiments to demonstrate the effectiveness of the proposed DCNN solution for anomaly detection in a human robot collaborative assembly system.
Multi-Granularity and Internal-External Correlation Residual Model for Chinese Sentence Semantic Matching

Sentence semantic matching (SSM) is central to many natural language processing tasks. This is especially the case for Chinese sentence semantic matching due to the complexity of the semantics, missing semantics and semantic confusion are more likely to occur. Existing methods have used enhanced text representations and multiple matching strategies to address these problems but there is still great potential to capture deep semantic information for Chinese text. This paper proposes a Multi-Granularity and Internal-External correlation Residual model (MGIER) to better capture the deep semantic information and to alleviate the missing semantics effectively. First, the MGIER model utilizes character/word granularity to capture fine-grained information. Then, soft alignment attention is employed to enhance the correlation between characters/words in a sentence, called internal correlation, and the correlation between sentences, called external correlation. In particular, this method uses residual connections to preserve more semantic information from the bottom embedding layer to the top prediction layer. Experimental results show that the proposed method achieves state-of-the-art performance for Chinese SSM, and, compared with pre-trained models, the method also achieves better performance with fewer parameters.
Preface: III International Scientific Practical Conference “Breakthrough Technologies and Communications in Industry and City” (BTCI’2020) December 2-3, 2020, Volgograd, Russian Federation

First Page
Ontology and practice of teaching in mathematics at higher and secondary schools

Discussed are problems of modern mathematical education: the development of the conceptual apparatus of mathematics, as well as the development of thinking in modal categories when proving mathematical propositions and solving probabilistic problems. The work is based on the results of the explication of the ontological foundations of mathematics obtained earlier. It is shown that the basis of a holistic, deep perception of the mathematical laws of being is categorical intuition with subsequent rationalization of mathematical objects. It is emphasized that such objects are not always possible to describe by means of extensional logic: an important place in the categorical structuring of mathematical knowledge is occupied by ontic modalities of the necessary and possible. The author expresses concern about the tendency of algorithmization of mathematical thinking in the learning process as opposed to historically established methods of creative search for proofs, alternatives, and opportunities. Special attention is paid to the topic of the teacher’s implementation of the ideological and educational function of mathematical science. Taking into account the enormous development of computing and information technologies, it is necessary to remember about the anthropological and humanitarian components of modern science and education. In substantiation of the relevance and discussion of the raised issues, the points of view of specialists from various fields are given: mathematicians, historians, teachers. This article is addressed to a wide range of readers: scientists, teachers, graduate students, freelance researchers.
Multistatic Passive Radar Multi-target Tracking Under Target-measurement-illuminator Data Association Uncertainty

Different from the traditional multi-target tracking problem which has the measurements to targets data association uncertainty problem, the multistatic passive radar multi-target tacking system has the additional measurements to illuminators data association uncertainty problem, which means the data association relationship is three dimensional. A novel target-measurement-illuminator Probabilistic Multiple Hypothesis Tracking (PMHT) algorithm is proposed, which introduces a new data association variable to represent the data association relationship. The proposed algorithm is based on the Expectation-Maximization (EM). To handle the nonlinear problem of range-Doppler measurements, the Unscented Kalman Smoother (UKS) is used to get the multi-targets’ estimated states. To increase the data association accuracy, the measurements are set to mixture Gaussian distribution. Simulation results show that for the FKIE passive radar data set, the proposed algorithm can track multi-targets effectively in dense clutter environment.
Transformational of Media Communications in Modern Society

The modern media system is in complex transformation processes. This is due to a number of factors that are based on content, structural, species changes. In addition, economic, geopolitical, cultural, and other modifications have a significant impact on them. Having analyzed the theory and practice of mass and media communication, we highlight such new and universalized features of media communication: abstractness; anonymity; glocality; dialogism; dynamic competition; duality; interactivity; convergence; McDonaldization; network structure; accumulation and archiving; syncretism; synergy; syntheticity; synchronicity; subject-subjectness; tabloid; technologization; fragmentary irregularity; universality (cross-media). We do not pretend to the completeness and completeness of our statements, on the contrary, we invite the scientific community to discuss in order to jointly search for the main conceptual directions for the development of theoretical studies, as well as to systematize the main problems in the sphere of media communications.
A reunião: um diálogo entre a arte e o design para gestão e criação de um produto audiovisual em meio a pandemia de COVID-19 Orlando José Dantas Lopes

This project promotes a dialogue between contemporary art, cinema and design, seeking to develop an audiovisual project using limited resources in the midst of the COVID-19 pandemic. The study starts from a creative process focused on a poetics materialized through masks designed in the form of sculptures and installations that are transmuted into three-dimensional performance elements, composing costumes and scenarios suitable for creative exploration in the scope of photography and audiovisual production. The narratives and aesthetics are designed with light and shadow effects, emptiness and filling, space and non-space concepts. The social isolation caused by the new Coronavirus is personified through sensations and experiences of color, light and darkness, creating a ritualistic atmosphere of transformation of the self, starting from the principles of belief and faith, in addition to a cycle of learning and unveiling in an obscure environment. The methodology used was based on design thinking strategies, interviews with creators and potential consumers, scriptwriting, scale, costume development, photomontages and prototyping of the proposed audiovisual product. Making a creative proposal during the social isolation proved to be a methodological, managerial, financial, technical and mental challenge, in view of the overload of activities for the team members and the difficulties generated by remote work, with decision-making that is often time-consuming and dense. This study is relevant for creators, producers, designers and visual artists interested in producing audiovisual products with a strong creative appeal and at the same time with limited resources, using methodologies focused on remote team work.
Live Stream Processing Techniques to Assist Unmanned, Regulated Railway Crossings

The Indian railways play a vital role in the lifestyle of a commuter. Serving close to 23 million passengers a day, it is considered quintessential in an Indian setting. However, due to track placements in rural and urban areas, they tend to threaten animals and human beings that traverse it. This paper alleviates the danger by suggesting a preventative measure that involves signaling the train engineer prior to an accident. Furthermore, it presents a novel method consisting of a microcontroller structure to detect and identify objects as they intersect the railway. Additionally, six state-of-the-art algorithms were evaluated, trained, and tested on the MS COCO dataset using robust metrics. Subsequently, this paper weighs inference times, processing frame rates, object recognition details, and localization accuracy to suggest an appropriate algorithm. This paper also integrates the object detection algorithm to form an end-to-end system to supplement the Indian railways.
Phase 4 RLF Configuration Task Force (RCTF) charge

Author(s): UC Libraries | Abstract: To investigate how to configure Regional Library Faciliteis (RLF) materials in the upcoming Shared Integrated Library System (SILS), an RLF Configuration Task Force (RCTF) has been charged by the SILS Working Group to carry out an analysis and make recommendations to the SILS Working Group.
CROSSPLATFORM DISTRIBUTED INFORMATION SYSTEM OF PROTOTYPING SOFTWARE APPLICATIONS INTERFACE PROJECT

In recent years, the task of preventive coordination and discussion of the specifics of the implementation of software applications and systems projects with customers has become increasingly important, which is possible through the creation of structured and flexible prototypes of user interfaces. The aim The purpose of the article is to describe the design features of the information system for prototyping the interface of software applications. Realization of the set purpose provides the decision of a number of tasks: 1) the analysis of key concepts and approaches to creation of prototypes of interfaces of software systems; 2) development of the scheme of the main window of the information system; 3) creating an object model of the system based on the use of diagrams in UML notation. Scientific novelty. In the article, the method of developing prototypes of user interfaces is divided into separate architectural templates of software applications, in particular desktop, mobile and web-oriented systems, which provides a targeted approach to the use of components and elements of the interface. In conclusion, the article emphasizes that the development of prototypes of user interfaces for software applications and systems of various directions and applications is a relevant and popular task, the solution of which allows to provide a clearer and more consistent understanding of the overall vision of the project by the customer and development team. The created object models of the system allow to reveal its architectural advantages and features, which consist in the flexibility of the distribution of the functionality and essences of the objects. These results of information system design are the basis for its software implementation by means of modern high-level programming languages, in particular, Javascript. A further target of the system development may be a more targeted vector of introduction into its architecture of distributed systems technologies and parallel computing, which will ensure its comfortable use in asynchronous mode based on the microservice approach.
Programming Practice Python 2021

This textbook is a translation of the Japanese version referred to as “Puroguramingu-Enshuu Python 2021 (プログラミング演習 Python 2021).”
The Student’s Errors on The Use Of Adjectives with The Suffix–Ly : Case Study SMA Negeri 13 Medan

This study deals with student’s errors on the use of adjectives and adverbs with the suffix–ly and regarding adjectives and adverbs identical in form mainly in–ly form and in without–ly form.  This survey only investigates them in the written exercises.  They cover descriptive adjectives, manner adverbs, intensifying adverbs, and sentence adverbs. The objective of this study is to find out the types and the causes of errors made by student’s on the use adjective and adverbs with the suffix–ly.  The sample of this study is 30 student of the third year students of SMA Negeri 13 Medan. This study uses a descriptive quantitative design.  The instrument for collecting data consists of a teacher made test in the multiple choice form.  The percentage of the student’s errors is dominantly occured in descriptive adjectives from 900 item occurrences, there were 423 errors which categorized into 5 sub categories on the use of adjectives and adverbs with the suffix–ly.  Firstly, the use of descriptive adjective was 151 (35,70 %) errors divided into the use with the suffix–ly was 67 (15,84 %) errors and the use without the suffix–ly was 84 (19,86 %) errors.  Secondly, the use of manner adverbs was 159 (35,22 %) errors divided into the use with the suffix–ly was 89 (21,04 %) errors and the use without the suffix–ly was 60 (14,18 %) errors.   The other one is the use of intensifying adverbs with the suffix–ly was 64 (15,13 %) errors, another one is the use of time adverbs with the suffix–ly was 37 (8,75 %) errors, and the last one is the use sentence adverbs with the suffix–ly was 22 (5,2 %) errors. It is concluded that the errors are due to neglect of rules regarding the use of adjectives and adverbs with the suffix–ly.  In short, the errors were dominantly caused by intralingual transfer on the use of adjectives and adverbs with the suffix–ly.  It recomended that further in depth studies on the use of adjectives and adverbs with the suffix–ly had be done for the betterment of the teaching-learning process.
The Complex Shape of Anonymity in Cryptocurrencies: Case Studies from a Systematic Approach

The modern financial world has seen a significant rise in the use of cryptocurrencies in recent years, in no small part due to convincing levels of anonymity promised by such schemes. Bitcoin, despite being the most widespread, has significant lapses of anonymity. Several recent constructions aim to bridge some of those gaps. Amid such developments, there have been many attempts to evaluate the anonymity prospects of such schemes, but always with a rather narrow view based on metrics tailored to the schemes being studied. Here, we employ a common universal framework to characterise the many aspects of anonymity achieved, or not, by any (crypto, digital, or physical) currency schemes, irrespective of the underlying implementation. We focus on a few high-profile practical cases of interest (including Bitcoin, Zcash, Monero, Mimblewimble) and use our common framework to draw detailed and meaningful comparisons.
Improving English Speaking Ability of PKBM Bina Saiyo Pariaman Students: Peningkatan Kemampuan Speaking Bahasa Inggris Siswa Siswi PKBM Bina Saiyo Pariaman

In the implementation of this PKM, PKBM Bina Saiyo, Pariaman, was chosen as the partner after looking at the early research were held at PKBM Bina Saiyo by Gusta, W. et al. (2019) which found that the students English skills were still very low due to conventional teaching methods and techniques. Therefore, the implementation of PKM at BKBM Bina Saiyo used simple conversation role play and miming games as a fun teaching techniques and methods which can improve students’ speaking skills, especially in speaking skills. There were total 16 students of Package C who had joined the program. After carrying out the activities, the PKM team could see significant results in the form of high student interest in participating in activities. High expectation of PKBM of students and teachers that similar activities can be carried out regularly. Furthermore, the teaching method using role play and playing games will also be used during teaching process to increase interest in learning and the quality of students English learning achievement at PKBM Bina Saiyo.
Requirements-Level Reuse Recommendation and Prioritization of Product Line Assets

Software systems often target a variety of different market segments. Targeting varying customer requirements requires a product-focused development process. Software Product Line (SPL) engineering ...
Ant Colony Optimization Algorithms for the Knapsack and traveling salesman problems

This paper is a simple tutorial for researchers interested in ant colony optimization (ACO) in general and max-min ant system (MMAS) in particular. The paper compares the differences in implementing these algorithms to solve sequencing and selection problems. For selection problems, we use the famous knapsack problem (KP) to demonstrate how MMAS can be used, whereas, for the sequencing problem, we use the famous traveling salesman problem (TSP). Results from the literature show how the MMAS algorithm can outperform other meta-heuristics in solving these two types of problems.
Effective Error Control Scheme in Real-Time Wireless Sensor Networks

Wireless Sensor Networks (WSNs) subsist on network of huge numbers of hubs that are distributed in unfriendly environments used for habitat monitoring and to observe changes in phenomena. These hubs are susceptible to faults such as energy exhaustion, hardware glitches, communication link errors, malicious attacks, which may lead to errors in message delivery. However, these systems are typically utilized to convey vital information in remote places. Thus, efficient error identification and correction is thereby required in order to maintain the accuracy of the received message. This paper aimed at designing high speed reverse converter for effective error control codes using Redundant Residue Number System in order to enhance the accuracy of messages delivered for real-time WSNs. In order to attain a greater error correction, a reverse converter which was based on Mixed Radix Conversion was designed for the moduli set {2n+1-1, 2n, 2n-1}. In addition to this moduli, an extra redundant moduli set{2n+1+3, 22n - 3} is also designed for higher correctness. For correction and identification of corrupted values in the original data, maximum likelihood was used. The results obtained show that the suggested moduli set offers low energy utilization and consistency of the received message in real time WSNs.
Higher Education in a Pandemic: Global Implications Based on a Case Study from Bulgaria

The COVID-19 pandemic has posed an ultimate challenge affecting all areas of human activity. Higher education had to respond by revealing its potential to adapt to and tackle the negative effects of the crisis so as to keep the quality of academic education and research. This critical situation served as a litmus test for HEIs readiness to face and manage crises. The potential of such experience is considered based on the authors’ experience as well as on a survey including HEI stakeholders and revealing their attitudes and perceptions on their work in the pandemic. Global implications are made about educational opportunities and benefits.
Pelatihan Dasar Pengoperasian Building Information Modeling (BIM) Tekla Structures bagi Guru SMK Teknik Bangunan di Kabupaten Banyumas

This community service activity is intended to provide knowledge updates to Building Engineering Vocational High School teachers regarding the operation of the Tekla Structures BIM, where Tekla Structures is one of the tools of BIM, especially 3D drawings, detailing and material quantity. The method used is to analyze the needs of partners, lectures, discussions, and demonstrations. The participants of the activity, apart from the Building Vocational High School teachers in Banyumas, were also attended by representatives of several Subject Course Teacher Conferences (MGMP) throughout Central Java. Based on the evaluation of the activities, as many as 88.7% of participants had understood the concept of BIM after participating in this activity, participants welcomed and enthusiastically related to the development of learning by always following technological developments, especially in the construction sector.