Reviewerly/exHarmony huggingface dataset:
Explaining black-box automatic electrocardiogram classification to cardiologists

In this work, we present a method to explain "end-toend" electrocardiogram (ECG) signal classifiers, where the explanations were built along with seniors cardiologist to provide meaningful features to the final users.Our method focuses exclusively on automated ECG diagnosis and analyzes the explanation in terms of clinical accuracy for interpretability and robustness.The proposed method uses a noise-insertion strategy to quantify the impact of intervals and segments of the ECG signals on the automated classification outcome.An ECG segmentation method was applied to ECG tracings, to obtain: (1) Intervals, Segments and Axis; (2) Rate, and (3) Rhythm.Noise was added to the signal to disturb the ECG features in a realistic way.The method was tested using Monte Carlo simulation and the feature impact is estimated by the change in the model prediction averaged over 499 executions and a feature is defined as important if its mean value changes the result of the classifier.We demonstrate our method by explaining diagnoses generated by a deep convolutional neural network.The proposed method is particularly effective and useful for modern deep learning models that take raw data as input.
URINE KETONE INTER-RELATING WITH LIKENESS OF TEACHING AS JOB

The important ambition of this study was to co-relate urine ketone with interest in teaching as job.87 subjects were included in this project.Urine test for ketones was performed.When body cells did not acquire adequate amount of glucose then fat is burned by body as alternate source of fuel.It generates a product known as ketone that can be present in blood and urine.Person that has knowledge about all characteristics of his profession is known as professional.Early professions were medical field, law and teaching at university.With the passage of time dentistry, architects and engineers were also gained status of profession.Only 6.25% males and 4.25% females had ketone in urine while 93.75% males and 95.74% females had no ketone in urine and they had interest in teaching profession.In teaching dis-likeness there were no males and females that had ketone in urine.It was concluded that urine ketone had no link with likeness of teaching as job.
Personal Data Protection in Russia

Abstract This chapter considers the legal framework of data protection in Russia. The adoption of the Yarovaya laws, data localization requirement, and enactment of sovereign Runet regulations allowing for isolation of the internet in Russia paint a grim representation of state control over data flows in Russia. Upon closer examination, it can be seen that the development of data protection in Russia follows many of the steps taken at the EU level, although some EU measures violated fundamental rights and were invalidated. Specific rules in this sphere in Russia are similar to the European General Data Protection Regulation. This chapter shows the special role of Roskomnadzor in forming data protection regulations by construing vaguely defined rules of legislation.
SISTEM INFORMASI MANAJEMEN PEMASARAN, PENJUALAN DAN DISTRIBUSI PRODUK CCTV (STUDI KASUS : TOKO KARYA JAYA SECURITY)

Toko Karya Jaya Security is a company engaged in the sale of CCTV complete with Indoor or Outdoor Cameras, Monitors, DVR, Cables, Seagate Hard Drives, Power Supply, BNC Connectors and DC Connectors, Spare Parts, Fingerprint, Running Text and Video Tron. In the business of selling CCTV, Toko Jaya Security has not used technology as a sales or promotion medium to expand the product marketing process. For now, the business process carried out by Toko Karya Jaya Security is still done manually both in promoting products, sales between customers who still come directly to the store to order or buy CCTV products, and record transactions that are done manually. The purpose of this research is to design and build a CCTV Product Marketing, Sales and Distribution Management Information System that is used to help Toko Karya Jaya Security in expanding marketing and increasing sales of CCTV products, to making reports quickly and accurately. Data collection techniques used in this study are interviews, literature review and documentation. The data source was obtained from the head of Toko Karya Jaya Security. Marketing, Sales and Distribution Management Information System for web-based CCTV products is built using programming languages such as PHP and HTML. Database using MYSQL. The interface design is made using the Mockplus application. This system is tested using ISO 25010. This measurement is based on 6 main characteristics of ISO 25010, namely Functional Suitability, Reliability, Performance Efficiency, Usability, Maintainability and Portability. From the calculations carried out using the Likert scale, the result is 83.86%. So it can be concluded that the design of this system is declared very good to use and feasible to implement.
Chinese Culture Penetration in Teaching Chinese as a Foreign Language in the Era of Mobile Internet

The rise of the global Chinese fever has brought opportunities for the development of teaching Chinese, and it has also challenged the teaching models and methods of teaching Chinese. At present, Internet technology has achieved certain results in the change of teaching modes, the construction of online teaching platforms, and the development of APPs on mobile devices. The flexible use of Internet technology in teaching Chinese as a second language is conducive to teachers’ improvement of teaching methods and the leading role of teachers; learners improve acquisition efficiency and use learning resources more reasonably and efficiently; and increase the reliability and validity of management and teaching evaluation; realize the modern teaching concept of taking students as the main body, teachers as the lead, and technology as the auxiliary.
Reliability-Based Mission Planning of Off-road Ground Vehicle under Uncertain Environment

Mission planning plays an essential role in enabling off-road autonomous ground vehicles (AGVs) to fulfill the assigned tasks with less time or economic cost. However, the presence of heterogeneous uncertainty sources in terrain conditions leads to the variability of AGV mobility prediction, which poses new challenges in estimation of mission reliability and achievement of good trade-off between cost and reliability during mission planning. This paper proposes a reliability-based path planning model based on two reliability metrics, namely state mobility reliability and mission mobility reliability. The spatial-dependent uncertainty in terrain conditions is first propagated to the vehicle mobility prediction, which is then used to generate the stochastic mobility map. Based on the generated stochastic mobility map, the vehicle mobility reliability can be analyzed according to the reliability metrics. Building upon the reliability-based mission planning model, a reliable and robust rapidly-exploring random tree (R2-RRT*) algorithm is proposed to incrementally search for the final path which is robust to uncertain environment and meets reliability target. Even though the developed approach is applied to off-ground AGVs, it can also be applied to mission planning of aircraft in uncertain environment. A case study is used to demonstrate the efficacy of the proposed R2-RRT* algorithm.
Massive Open Online Courses as a Tool for Developing Future Teachers’ Digital Competence

Today there is a growing demand for Massive open online courses (MOOCs) on distance learning in higher education. Massive open online courses play a significant role in open, continuous, lifelong learning as a new trend and a new distance learning technology in education. There exist many opportunities to develop future pedagogues’ digital competence by creating and applying Massive open online courses. The research briefly summarizes the theory of development and application of a Massive open online course based on the analysis of foreign literature. Based on this, an elective course is offered to create a mass open online course. Before applying the MOOC, a survey was conducted for students of 1-4 courses of the specialty “Pedagogy and psychology” of Abay Kazakh National Pedagogical University in order to identify knowledge about digital educational resources, MOOC. 94 students took part in the survey. It was found that students were poorly informed about MOOC, but expressed a desire to study digital courses. Key words: digital competence, develop a digital competence, open education, distance learning, massive open online courses.
Thrombocytopenia in patients diagnosed with Malaria in District Buner, KP

Introduction: Thrombocytopenia is one of the numerous complications of malaria infection, which could be lethal if not diagnosed and managed on time. Our study aims to determine the occurrence of thrombocytopenia in patients hospitalized with malaria.Material and Methods: A retrospective cross-sectional study was conducted between January 2016 till December 2019. Data was collected from the patient’s record registers. A total of 201 cases were included in this study. Data was collected, entered, and analyzed in IBM SPSS 23 software package.Results: Out of the total 201 cases, 108 (53.7%) were males and 93 (46.3%) were females. 189 (94%) cases were suffering from P. vivax, 10 (5%) were suffering from P. falciparum, and cases suffering from both were only 2 (1%). Thrombocytopenia was present in 183 (91.04%) cases (95% confidence interval 2.13-2.37). 91.53% (n=173) of cases diagnosed with P. vivax had thrombocytopenia while 90% (n=9) cases diagnosed with P. falciparum had thrombocytopenia.Conclusion: We conclude from this study that, thrombocytopenia occurs in all species of malaria and is not a distinguishing feature between the principal types of malaria. With prompt identification and management, platelets count reverts back to normal.&#x0D;
Comparing Performance of Classifiers Applied to Disaster Detection in Twitter Tweets – Preliminary Considerations

Nowadays, disaster “detection”, based on Twitter tweets, has become an interesting research challenge. As such it has even found its way to a Kaggle competition. In this work, we explore (and compare) multiple classifiers, applied to the data set from that challenge. Moreover, we explore usefulness of different preprocessing approaches. We experimentally establish the most successful pairs, consisting of a preprocessor and a classifier. We also report on initial steps undertaken towards combining results from multiple classifiers into a meta-level one.
Transformation of the Financial Mechanism of a University in the Context of the Implementation of the Efficiency Principle

The switch of the national policy to increasing efficiency and improving quality of public service delivery predetermined significant changes in the sector of higher education. The article describes the measures introduced by the state to reform the sector of education; a complex of indices that characterize the state of the market of higher education services over the last 5 years is analyzed. A conclusion about a positive growth trend of the volume of expenses of the federal budget on higher education per one student sponsored by the state is drawn. The financial mechanism of a higher education institution is emphasized. The authors focus on high significance of the principle of efficiency in the university activities. Direct correlation between the revenues of a higher education institution and its efficiency is revealed. A number of financial methods due to which, in the future, universities will be able to maintain independence and increase efficiency of their activities in the conditions of high competition in the higher education market is proposed.
RUSSIAN MEDIA ABOUT MEDICAL INNOVATIONS AND TECHNOLOGIES

The current state of demand for medical information in the media has a high practical significance for the mass audience. Medicine is a science-intensive, rapidly developing field. In this regard, it is necessary to systematically inform the public about the achievements of medicine— in science, technology and industry, explaining the essence and possible consequences of a scientific discovery, popularizing methods of treatment of a particular disease, introducing society to innovative technological processes in the medical field, achievements and developments of the medical and pharmaceutical industry. The paper reviews the experience of media coverage of medical issues in the aspect of familiarity with innovations and technologies in the context of historical development both in our country and abroad.
SEMA: Text Simplification Evaluation through Semantic Alignment

Text simplification is an important branch of natural language processing. At present, methods used to evaluate the semantic retention of text simplification are mostly based on string matching. We propose the SEMA (text Simplification Evaluation Measure through Semantic Alignment), which is based on semantic alignment. Semantic alignments include complete alignment, partial alignment and hyponymy alignment. Our experiments show that the evaluation results of SEMA have a high consistency with human evaluation for the simplified corpus of Chinese and English news texts.
Application Study of VPN on the Network of Hydropower Plant

In this paper, the concept, as well as the advantages and the application areas of VPN (Virtue Private Network) are introduced; the security technology of VPN are discussed; a scheme about information exchange with safety among the stations of hydropower plant by means of VPN is put forward; and last, the process of establishing VPN by Windows is introduced in detail.
A Multi-objective Particle Swarm Optimization Algorithm Based on Reverse Learning

In order to solve the contradiction between population diversity and convergence in particle swarm optimization algorithm, in this paper, a particle swarm optimization algorithm with reverse learning is proposed. On this basis, the values of learning factor and constraint factor parameters are modified, and the linear decreasing weight strategy was adopted. By modifying the learning factor and the constraint factor, the algorithm improves the particle optimization ability. It balances the global search and local search of the particle, and the convergence speed is improved by using the inertia weight. When it is detected that the algorithm falls into the local optimal region, the position information of these poor particles is used to guide some particles to reverse learning at a faster flight speed, and the particles are quickly pulled out of the local optimal region. The reverse learning process can not only improve the diversity of particle population, but also ensure the global detection ability of the algorithm. Experimental results show that, compared with the basic MOPSO algorithm, this algorithm has fast convergence speed and high solution accuracy in function optimization.
Policy Feedback in Deep Reinforcement Learning to Exploit Expert Knowledge

In Deep Reinforcement Learning (DRL), agents learn by sampling transitions from a batch of stored data called Experience Replay. In most DRL algorithms, the Experience Replay is filled by experiences gathered by the learning agent itself. However, agents that are trained completely Off-Policy, based on experiences gathered by behaviors that are completely decoupled from their own, cannot learn to improve their own policies. In general, the more algorithms train agents Off-Policy, the more they become prone to divergence. The main contribution of this research is the proposal of a novel learning framework called Policy Feedback, used both as a tool to leverage offline-collected expert experiences, and also as a general framework to improve the understanding of the issues behind Off-Policy Learning.
SISTEM INFORMASI KEHADIRAN DAN PELANGGARAN SISWA SMPN 2 SIOMPU BARAT BERBASIS WEB

&lt;em&gt;Public Middle School 2 Siompu Barat is an institution in the field of junior high school education intended for the general public, especially in the District of West Siompu. Siompu Barat SMPN 2 does not have a special application that manages and monitors student attendance data and data processing regarding student violations at school. The purpose of this study was to design and create a web-based attendance and violation information system for students of SMPN 2 Siompu Barat. Data collection methods used were observation and interviews with the Principal of SMP Negeri 2 Siompu Barat and the administration division at the school. The research conducted produced a website application that can make it easier to manage student attendance data every day at school and data on student violations conducted at school and make it easier for administrators to manage data in the form of lessons, class, teacher, student, and student violation data. fill in the student attendance list and input student violation data so students can see the attendance of students and view the list of violations online.&lt;/em&gt;
DEVELOPING STUDENTS&amp;#x27; PEDAGOGICAL CREATIVITY VIA EDUCATIONAL FORESIGHT

Elaborating on the previously conducted studies into polar model of sense-making, the authors propose a trialectic model of the way meanings are born.The purpose of this article is to provide theoretical grounds for transition from the dual to trinal model of sense-making strategies and their description.The sense-making strategy determines the direction and quality content of the generated image-meaning.The authors find it expedient to consider trialectic level of the system of senses for more adequate modeling of possible strategies that reflect the key traits of a personality.The above mentioned triad contains hypo-adaptive, hyper-adaptive and pre-adaptive sense-making strategies.The proposed approach enables to identify a personal profile that acts as a multifactor model of possible states of value-notional sphere of an experiencing subject.In terms of modeling behavior patterns, a personal profile of such kind reveals the main direction and principal features of sense-making regulation.
CONCEPTUAL FRAMEWORK FOR INCLUSIVE HIGHER EDUCATION

Elaborating on the previously conducted studies into polar model of sense-making, the authors propose a trialectic model of the way meanings are born.The purpose of this article is to provide theoretical grounds for transition from the dual to trinal model of sense-making strategies and their description.The sense-making strategy determines the direction and quality content of the generated image-meaning.The authors find it expedient to consider trialectic level of the system of senses for more adequate modeling of possible strategies that reflect the key traits of a personality.The above mentioned triad contains hypo-adaptive, hyper-adaptive and pre-adaptive sense-making strategies.The proposed approach enables to identify a personal profile that acts as a multifactor model of possible states of value-notional sphere of an experiencing subject.In terms of modeling behavior patterns, a personal profile of such kind reveals the main direction and principal features of sense-making regulation.
The results of assorted research on the questions of dynamics of victimization from Internet fraud in the Russian Federation (2010-2019)

The object of this research is the process of victimization of population of the Russian Federation from Internet fraud in the period from 2010 to 2019. The subject of this research is a number of criminological indicators that characterize the dynamics of victimization and criminal victimization. Using the empirical data, the author determines the actual number of the Internet fraud victims; built a retrospective model of development of this process based on calculation of the average annual rate of growth; increases awareness on the dynamics of the number of victims until 2013. The conclusion is made on the growing scope of victimization, which according to the data of assorted research of 2013-2019 carries an exponential function. Each three years the total number of victims doubles, which continues to grow since 2012 (associated with the reform of criminal legislation aimed at identification of the additional types of fraud using computer technologies). This pattern was used for structuring the projection models of victimization of users of the Russian segment of the Internet until 2021 (inclusively). The results of additional assorted research of 2020 demonstrate that only in 20% of cases the damage from Internet fraud exceeds 1,000 rubles. In accordance of the principle of recurrence of the Internet fraud, the structure of victimization is as follows: 52% are the victims of such crimes in recent year; 1/3 of respondents were the victims in previous years, but not in recent year; and only 13% became the victims in past years and recent year. &amp;nbsp;
Influence of Emotional Marketing on Brand Loyalty Among Females in the Field of Cosmetics: Mediating Role of Customer Satisfaction

People can forget what someone said or did but they very rarely forget the emotions which were raised in them or how someone made them feel. From that point, the role of emotional marketing here appears as means of communicating with consumers or users and developing meaningful relationships with them, allowing for the development of satisfaction and loyalty among them. Therefore, organizations may feel a bit worried about whether their brand and its emotional impact on customers. Current study sought to examine the influence of emotional marketing (EM) on brand loyalty though the mediating role of customer satisfaction. Through employing the quantitative approach; a questionnaire was distributed on (239) customer gained from malls, commercial complexes and retail stores in Jordan. Results of study indicated that emotional marketing focuses on the role of emotions in upgrading the business, directly to the customer's situation, impressions and aspirations, which translates into customer loyalty to the brand for a long time which is attributed to their satisfaction both emotionally and rationally of the brand and the service they get as end users. Study recommended examining the influence of emotional marketing on brand equity and how emotions-based marketing can be useful for the brand equity.
Classification of Wing Chun Basic Hand Movement using Virtual Reality for Wing Chun Training Simulation System

To create a Virtual Reality (VR) system for Wing Chun's basic hand movement training, capturing, and classifying movement data is an important step.The main goal of this paper is to find the best possible method of classifying hand movement, particularly Wing Chun's basic hand movements, to be used in the VR training system.This paper uses Oculus Quest VR gear and Unreal Engine 4 to capture features of the movement such as location, rotation, angular acceleration, linear acceleration, angular velocity, and linear velocity.RapidMiner Studio is used to pre-process the captured data, apply algorithms, and optimize the generated model.Algorithms such as Support Vector Machine (SVM), Decision Tree, and k-Nearest Neighbor (kNN) are applied, optimized, and compared.By classifying 10 movements, the result shows that the optimized kNN algorithm obtained the highest averaged performance indicators: Accuracy of 99.94%, precision of 99.70%, recall of 99.70%, and specificity of 99.97%.The overall accuracy of the optimized kNN is 99.71%.