Reviewerly/exHarmony huggingface dataset:
Innovative And Additive Outlier Robust Kalman Filtering With A Robust Particle Filter

In this paper, we propose CE-BASS, a particle mixture Kalman filter which is robust to both innovative and additive outliers, and able to fully capture multi-modality in the distribution of the hidden state. Furthermore, the particle sampling approach re-samples past states, which enables CE-BASS to handle innovative outliers which are not immediately visible in the observations, such as trend changes. The filter is computationally efficient as we derive new, accurate approximations to the optimal proposal distributions for the particles. The proposed algorithm is shown to compare well with existing approaches and is applied to both machine temperature and server data.
Decision Support System for Selecting University in Pekanbaru Based on Android

Nowadays development of technology is growing fast, especially Android Operating System (OS). Android is a technology that can help human to improve their works both quality and quantity, e.g. making decisions. This study discusses the application of decision support systems to select university. Many students are still confused to select the best university for them. Hence, this application aims to assist students for making decisions using weighted product (WP) method. It exploits some criteria namely, distance, university accreditation and number of lecturers. The research methodology are used namely problem analysis, analysis both hardware and software requirements, design system, implementation and testing. Ultimately, application can be utilized. This application is built on Android Studio and Java Development Kit. It is implemented in Universities in Riau. This application can help students to choose the best university quickly and accurately.
PENGGUNAAN MODEL PEMBELAJARAN CONCEPT SENTENCE UNTUK MENINGKATKAN AKTIVITAS SISWA DAN KETERAMPILAN MENULIS KARANGAN NARASI

This research is motivated by the results of observations which show that the activities and writing skills of narrative essays by Grade IV students of Santaka Elementary School Cimanggung District, Sumedang Regency are still low. This is indicated by the low understanding of students in learning narrative essay writing skills and student activities that are classified as passive during learning. The purpose of this research is to improve the activities and writing skills of students' narrative essays by applying the Concept Sentence learning model. The research method used is PTK with Kemmis and Mc. Taggart. This research consisted of two cycles with 23 students. Based on the results of data analysis, it is known that the increase in student activity is seen from the average pre-cycle learning outcomes reaching 39%, then increasing in the first cycle after using the Concept Sentence model with an average of 70% and the second cycle reaching 83%. This shows an increase in student activity in learning to write narrative essays. The narrative essay writing skills in the initial conditions reached 26%, then increased in the first cycle with an average of 65% and in the second cycle reached 87%. This shows that the students' narrative essay writing skills have increased in each cycle with the application of the Concept Sentence model.
CRITERIA AND INDICATORS OF FORMATION OF SECONDARY SCHOOL TEACHERS' READINESS TO APPLY INTERNET TECHNOLOGIES IN THEIR WORK

The article substantiates the criteria and indicators of formation of secondary school teachers’ readiness to use Internet technologies in their professional activity. Modern education reform and the introduction of new educational content encourage teachers to use innovative methods and e-learning text-books, which requires new approaches to teacher training and self-education in the inter-certification period. Pedagogical conditions of development of teachers’ readiness to use Internet technologies are considered and pedagogical expediency of using Internet technologies in teachers’ work is revealed, taking into account the content and specifics of teachers’ pedagogical activity in educational institutions. The use of traditional teaching aids along with Internet technologies allows teachers to improve teaching significantly as well as make the learning process more interesting, diverse and intensive. Internet-technologies are an effective means of communication between all participants of the educational process, which is realized through various chats and Internet conferences. Taking into account the specificity of secondary school teachers’ professional activity, appropriate criteria and indicators were chosen, namely, motivational, integrative, work-relevant and other criteria. We defined gnostic, project, constructive, organizational, communicative, didactic, managerial, intellectual, research and professional skills, which are crucial for teachers’ professional readiness. It is emphasized that the content of motivational, integrative and work-relevant criteria determines the strategy of teachers’ professional behavior. On the basis of the above-mentioned criteria and indicators of their manifestation, low, average, sufficient and high levels of secondary school teachers’ readiness for the use of Internet technologies in their work are distinguished. It is shown that these criteria and their indicators provide an opportunity to obtain empirical data required for experimental research and to gain pedagogical insights for creating an original technology of formation of secondary school teachers’ readiness to use Internet technologies in their professional activity.
Quantum Image Reversible Watermarking Scheme using a Combination of the most Significant Qubit and the Least Significant Qubit

Quantum image watermarking technology is influenced by embedding algorithm, which permanently distorts the embedded quantum carrier image.To protect and authenticate quantum images without damaging the carrier images, this study proposed a quantum image reversible watermarking algorithm combining the most significant qubit (MSQb) and the least significant qubit (LSQb).First, a binary watermark image, a grayscale carrier image, and an empty key image were represented using the novel enhanced quantum representation of digital images.Second, the encrypted qubit of the binary watermark image was matched with the MSQb of the carrier image.If they were equal, then the high qubit of the quantum key image was flipped.Otherwise, the encrypted qubit of the binary watermark image was matched with the XOR value of the lowest two qubits of the carrier image.The LSQb of the carrier image was modified according to the matching result.Finally, the quantum watermarked image was obtained.Simulation experiments and theoretical analysis verified the feasibility and watermark performance of the scheme.Results demonstrate that the scheme achieves correct extraction of quantum image watermark and lossless restoration of original image.The visual quality PSNR of the carrier image embedded with watermark through the scheme is improved by approximately 4% compared with that through the traditional LSQb method.The study provides a reference for studying and implementing reversible image watermarking technology in the era of quantum computer, which can be applied to harsh copyright protection and authentication of the visual quality of the original carrier image.
A Novel Image Encryption Approach Using Polar Decomposition and Orthogonal Matrices

Information security is one of the important issues in the information age, image encryption algorithms have been increasingly studied to guarantee the secure image transmission over the internet and through wireless networks. In this article, we propose a new approach for image encryption based on polar decomposition and orthogonal matrices. This scheme offers good confusion and diffusion qualities. The proposed algorithm is shown to be secure against important cryptanalytic attacks (statistical attacks, sensitivity dependence, differential attacks, brute force attacks...), theoretical analysis and computer simulations both confirm that it has a high security level.
Extracting Features from Online Forums to Meet Social Needs of Breast Cancer Patients

Breast cancer patients go through many ordeals when they undergo treatments. Many of these issues are personal, social, or professional. As many of them are not directly medical in nature, these issues are not discussed with their healthcare providers and hence, not included in their treatment plan. However, these issues are vital for the patients' complete recovery. We present a novel approach that acts as the first step in including such personal and social issues resulting from breast cancer treatment into a patient's treatment plan. There are numerous online forums where patients share their experiences and post questions about their treatments and subsequent side effects. We collected data from one such forum called "Online Breast Cancer Forum". On this forum, users (patients) have created threads across many related topics and shared their experiences and questions. We use these message threads to identify critical issues faced by the patient and how they are related to their treatment. We convert the forum data into a bipartite network and turn the network nodes into a high-dimensional feature space. In this feature space, we perform community detection to unearth latent connections between patients and topics. We claim that these latent connections, along with the known ones, will help to create a new knowledge base that will eventually help physicians to estimate non-medical issues for a prescribed treatment. This new knowledge will help the physicians plan a more adaptive and personalized treatment and be better prepared by anticipating potential problems beforehand. We evaluated our method on two baseline methods and show that our method outperforms the baseline methods by 25% on a manually labeled reference dataset.
Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose Estimation

We propose to use a model-based generative loss for training hand pose estimators on depth images based on a volumetric hand model. This additional loss allows training of a hand pose estimator that accurately infers the entire set of 21 hand keypoints while only using supervision for 6 easy-to-annotate keypoints (fingertips and wrist). We show that our partially-supervised method achieves results that are comparable to those of fully-supervised methods which enforce articulation consistency. Moreover, for the first time we demonstrate that such an approach can be used to train on datasets that have erroneous annotations, i.e. "ground truth" with notable measurement errors, while obtaining predictions that explain the depth images better than the given "ground truth".
USE OF GAME TECHNOLOGY “SUBJECT RELAY RACE” TO INCREASE THE KNOWLEDGE ACTIVITY OF COLLEGE STUDENTS

The article explores the possibility of using pedagogical technology “Subject Relay Race” in the process of studying the professional module “Cartographic and Geodetic Support of Land and Property Relations” among students receiving secondary specialized education. The work highlights the results of a student survey to increase the capabilities of the given pedagogical technology in increasing cognitive activity.
Numerical function optimization by conditionalized PSO algorithm

A lot of research has been directed to the new optimizers that can find a suboptimal solution for any optimization problem named as heuristic black-box optimizers. They can find the suboptimal solutions of an optimization problem much faster than the mathematical programming methods (if they find them at all). Particle swarm optimization (PSO) is an example of this type. In this paper, a new modified PSO has been proposed. The proposed PSO incorporates conditional learning behavior among birds into the PSO algorithm. Indeed, the particles, little by little, learn how they should behave in some similar conditions. The proposed method is named Conditionalized Particle Swarm Optimization (CoPSO). The problem space is first divided into a set of subspaces in CoPSO. In CoPSO, any particle inside a subspace will be inclined towards its best experienced location if the particles in its subspace have low diversity; otherwise, it will be inclined towards the global best location. The particles also learn to speed-up in the non-valuable subspaces and to speed-down in the valuable subspaces. The performance of CoPSO has been compared with the state-of-the-art methods on a set of standard benchmark functions.
The Correlation between Self-esteem and Reading Comprehension Achievement of the Eleventh Grade Students of SMA NEGERI 5 Palembang

The objectives of this study were (1) to find out if there was a significant correlation between students’ self-esteem and their reading comprehension achievement, and (2) to find out whether or not there was a significant contribution of self-esteem to the achievement of students’ reading comprehension. The sample of this study was 118eleventh-grade students of SMA Negeri 5 Palembang. The sampling technique used was purposive sampling. In collecting the data, the researcher used two kinds of instruments, a self-esteem questionnaire and reading comprehension tests in a form of multiple-choice questions. The Pearson Product Moment Correlation Coefficient and Simple Linear Regression in SPSS version 21 were used to analyze the data. The result of Pearson Product Moment Correlation Coefficient showed that (1) there was a significant correlation between self-esteem and students’ reading comprehension achievement because p-value (0.000) was higher than (0.05), and (2) there was 47% contribution of self-esteem to students’ reading comprehension achievement.
Sosed: a tool for finding similar software projects

In this paper, we present Sosed, a tool for discovering similar software projects. We use fastText to compute the embeddings of subtokens into a dense space for 120,000 GitHub repositories in 200 languages. Then, we cluster embeddings to identify groups of semantically similar sub-tokens that reflect topics in source code. We use a dataset of 9 million GitHub projects as a reference search base. To identify similar projects, we compare the distributions of clusters among their sub-tokens. The tool receives an arbitrary project as input, extracts sub-tokens in 16 most popular programming languages, computes cluster distribution, and finds projects with the closest distribution in the search base. We labeled subtoken clusters with short descriptions to enable Sosed to produce interpretable output. Sosed is available at this https URL. The tool demo is available at this https URL. The multi-language extractor of sub-tokens is available separately at this https URL.
GENDER DIFFERENCES IN NEWSPAPER READINGHABITS OF PUNJAB READERS

Reading habits and reading choices are changing due to dynamic working culture, environmentand technological advancement. ReaderÂs interest/preferences are shifting from print to online medium.Teenagers are not keen to read printed newspapers. The goal of present study is to find sources the readersconsider for news, how much time they spent on it etc and also to find newspaper reading preferences differbetween males & females and to know also their satisfaction level after reading it. The present study includes thequantitative research in the form of structured questionnaire. The sample includes 750 newspaper readers fromPunjab. The results of the present study shows that all the male and female readers prefer to access news fromnewspapers. They spend almost same time for reading newspapers. Male readers prefer to read newspapers inmorning and female readers prefer to read whenever they get free time. After exploring the data from this study,it is clear that males and females do not necessarily have same interests and they choose to read articles/news .oftheir choice.
On the Path Rooted in the Combination of School Education and National Traditional Culture Education

The prosperity of a country and a nation is always supported by the prosperity of the culture. The greatrejuvenation of the Chinese nation requires the development and prosperity of its traditional culture. To promote thetraditional culture of the Chinese nation, we must follow the path of combining school education and traditional ethnicculture education, give play to the role of the main channel of the classroom, and disseminate knowledge of traditionalethnic culture to students.
Multilingual OCR systems for the regional languages in Balochistan

Background: There are various languages for which an optical character recognition technology has been developed but most of these address a particular language and thereby multilingual OCR remains a challenge.Methods: Development of multilingual OCR is one of a highly debated issue.Researcher are studying the feasibility and operational feasibility of multilingual OCR from technical as well as from viable aspects.Multilingual OCR includes printed or handwritten characters' form.In this paper, we study the significance, challenges and issues of developing multilingual OCR system for regional language based on Persio-Arabic script by conducting a comprehensive survery about the operational viability of mmultilingual OCR.Findings: A feedback of 339 participants is collected through an online surgery to find the scope and applicability of multilingual OCR.The respondents were from different linguistic background.The study identified that a large majority of participants are willing to use their native language for the accomplishment of their computational task and deemed that the support of multiple languages in a software would increase their productivity.Novelty: In current form, the study addresses the viability of multilingual OCR of regional language based on Persio-Arabic script.To the best of our knowledge, such kind of study has not been conducted for the domain of Pakistan.
Training Technologies as Means for Forming the Professional Identity of Police Officers during Professional Genesis

One of the modern technologies for training and developing individuals is a variety of trainings, including professionally-oriented ones. Since the training of modern police officers in higher educational institutions with specific learning conditions should focus on professional self-development of personality, formation and development of professional identity and other necessary personal and professional qualities, the aim of the study was to identify the effectiveness of training procedures on the dynamics of professional identity. Modern concepts of professional genesis, psychological theory of activity and the concept of genetic development of personality became the methodological basis of the study.&#x0D; It is noted that the developed and worked out program of comprehensive training to optimize the professional genesis of the employees of preventive units of the National Police consists of three modules and allows participants to solve problems (professional and life) situations during training exercises. It was found out that the training expands the knowledge of cadets on the professional identity of police officers, helps to deepen their knowledge of the prerequisites for professional formation and development, outlines their priorities in professional activities.&#x0D; It is established that after the training there is a positive dynamics of growth of both the level of professional identity of cadets in the whole and its individual components. In particular, the design-behavioral and motivational-value components of professional identity have been changed, which indicates about a clearer assessment of cadets’ professional plans, as well as clarity, independence in the process of building them, the desire to remain in the profession and to be successful there. The author has noted the cadets’ need for self-realization, the conformity of their personal and life values to the values of the profession and the professional community, the value of the chosen profession for them, the established emotional attitude of cadets to the chosen police profession and to themselves as its representative.&#x0D; It is expedient to use the received results of the research for drawing up the programs of psychological support of police officers at various stages of the professional genesis.
Comparison of 2 angle collectors with variations 0°, 20°, 30° and trapezoidal groove plate

Abstract Numerical study of three types of collectors. There is 0°, 20°, 30° of angled two collectors. This simulation finds out which collector will be the most optimum tilt angled solar collector while every collector got same sun’s radiation. The boundary condition is The simulation will be at 3.33° North and 98.39° East (Mechanical Engineering Magister Program, University of North Sumatra, Medan) and The simulation will be on 23 April at 12.30 Measurement point in this simulation are the inlet temperature, the outlet temperature, absorber plate. The most efficient collector is 30°
Influence of information communication technologies on students during the period of globalization

The essence of this article is to include the modern information, information technology, education systems in the process of globalization, which affects the minds of the students during their academic activities. In addition to the problems associated with identifying and eliminating the negative effects of information technology on the students personality, they are shown how to explore the optimal conditions for using these technologies in the learning process.
Discovering Nicholas A. Rubakin anew

Review of the book by Yu. N. Stolyarov. Vozvrashchenniy Rubakin [Rubakin regained; in Russian] / Yu. N. Stolyarov ; Russian School Library Association; Library Studies Department of the International Informatization Academy ; Russian State Library ; Research Center for Book Culture Studies of the Russian Academy of Sciences ; National Library of Sakha Republic (Yakutia). —Moscow:RussianSchoolLibrary Association, 2019. — 415 p. : ill. In his new monograph, Yury N. Stolyarov discusses many aspects of Nicholas A. Rubakin’s life and work. N. A. Rubakin is an outstanding bibliographer and classic of the book science, father of bibliopsychology, one of the founders of library science, theorist and expert of self-education, popular exponent of science; new facts in Rubakin’s biography are discussed. The author presents previously unknown works by Rubakin and evaluates their significance for the book science; he also examines the possibility of applying Rubakin’s recommendations and practical conclusions in modern libraries for managing user self-education. That’s why Yu. Stolyarov’s monograph is seen as a new discovery of Rubakin’s heritage. The reviewer focuses on bibliopsychology, its provisions and significance for library and information studies. The historical context is reconstructed; Rbakin’s entourage and personages mentioned in the biography, from well-known political figures to front-line reporters are characterized. Rubakin’s reaction to V. Lenin’s review of the bibliography “Among the books” is of special significance for the history and theory of bibliographical science. The bibliological portraits of authors and readers developed by N. A. Rubakin are of special interest.
Examining the Impact of Industry 4.0 on Academic Libraries

Due to the rapid acceleration of industry 4.0, it is more important than ever to understand the impact of technological revolutions on the academic library. This edited collection showcases the effects on how libraries function, manage processes and continue to deliver products and services on a day to day basis.