Reviewerly/exHarmony huggingface dataset:
Dual-Axis Solar Tracking and Monitoring of Solar Panel Using Internet of Things

This chapter presents the design, development, testing, and implementation of a dual-axes tracker. The study also presents the technique of increasing the efficiency of the solar panel by changing the orientation with respect to the sun’s position using dual-axes tracker. Light-dependent resistors are mounted on the solar panel to track the movement of the panel. The movement of the panel is also controlled by two 12 V DC motors for each of the axis. Arduino microcontroller is used as the interfacing medium to control the motors. In order to determine the direction of rotation of motors, relay circuits are also used as motor drivers. The Wi-Fi module is used to monitor the entire process through the TOT. The results are evaluated throughout the day and are evaluated with and without the tracker. The performance of the developed system was experimented and compared with the static solar tracking system. This work further demonstrates that the dual-axis solar tracking system has a higher power generation compared to static panels. The experiments show that employing dual-axis tracking system 138under sunny conditions has resulted in an increase of the voltage generated by around 10% in the morning and evening but with no significant change during the afternoon. The proposed design is achieved with low power consumption, high accuracy, and low cost.
Contextual Information Aided Generative Adversarial Network for Low-Light Image Enhancement

Low-light image enhancement has been gradually becoming a hot research topic in recent years due to its wide usage as an important pre-processing step in computer vision tasks. Although numerous methods have achieved promising results, some of them still generate results with detail loss and local distortion. In this paper, we propose an improved generative adversarial network based on contextual information. Specifically, residual dense blocks are adopted in the generator to promote hierarchical feature interaction across multiple layers and enhance features at multiple depths in the network. Then, an attention module integrating multi-scale contextual information is introduced to refine and highlight discriminative features. A hybrid loss function containing perceptual and color component is utilized in the training phase to ensure the overall visual quality. Qualitative and quantitative experimental results on several benchmark datasets demonstrate that our model achieves relatively good results and has good generalization capacity compared to other state-of-the-art low-light enhancement algorithms.
The sociology student’s communicative personality in learning in the pandemic discourse

The article studies the transformation of the communicative personality in terms of learning space digitalization and formation of the main components of the sociology students’ communicative competence in the transition to distance learning during the COVID-19 pandemic. The analysis of a communicative personality is performed. In-depth interviews and group interviews were used as data collection methods. The interviewees are students of the Faculty of Sociology of MSU attended their graduation courses in full-time and distantly. The interview guide is represented by questions corresponding to individual parameters of the communicative personality. The empirical data analysis method is axial coding. The specificity of individual characteristics of the students’ communicative personality, remotely learning the profession of a sociologist, was revealed. The article highlights the motivation for entering the educational communicative process, the absence of the cognitive aspect’s direct influeence on the new education format, and the transformation of ethical component of communicative personality.
Data-Driven Monographic Weeding Project for a Medium-Sized Government Library: A Case Study

Libraries of all sizes are daunted by taking on a major collection review project, especially conducting the process in an efficient manner. This case study discusses a medium-sized government library’s successful data-driven weeding project. It explains how we planned the project, established goals, and created and executed workflows, all while considering the unique characteristics of our collection. Our project used two innovative and interconnected components: (1) a process using various criteria to systematically remove from consideration the titles we needed to keep, and (2) a data-driven process using different inputs and automation strategies that ensured we made high-quality decisions efficiently.
Comparative Analysis of the Tsarev Combined Algorithm

This paper presents the combined Tsarev algorithm and its comparison with the Brute Force algorithm in terms of time performance and efficiency for problems of searching for the longest pattern in sequences.In the present study experiments were made with different types of DNA sequences such as: Candida Albicans, Candida Dublinesis and Coronavirus.
An Adaptive Smoothness Parameter Strategy for Variational Optical Flow Model

The smoothness parameter is used to balance the weight of the data term and the smoothness term in variational optical flow model, which plays very significant role for the optical flow estimation, but existing methods fail to obtain the optimal smoothness parameters (OSP). In order to solve this problem, an adaptive smoothness parameter strategy is proposed. First, an amalgamated simple linear iterative cluster (SLIC) and local membership function (LMF) algorithm is used to segment the entire image into several superpixel regions. Then, image quality parameters (IQP) are calculated, respectively, for each superpixel region. Finally, a neural network model is applied to compute the smoothness parameter by these image quality parameters of each superpixel region. Experiments were done in three public datasets (Middlebury, MPI_Sintel, and KITTI) and our self-constructed outdoor dataset with the proposed method and other existing classical methods; the results show that our OSP method achieves higher accuracy than other smoothness parameter selection methods in all these four datasets. Combined with the dual fractional order variational optical flow model (DFOVOFM), the proposed model shows better performance than other models in scenes with illumination inhomogeneity and abnormity. The OSP method fills the blank of the research of adaptive smoothness parameter, pushing the development of the variational optical flow models.
Thoughts on the principle of ne bis in idem in the light of administrative and criminal sanctions for the legal protection of animals

According to the well-developed interpretation of the principle of the ne bis in idem in the case law of the Court of Justice of the European Union and the European Court of Human Rights, the same conduct cannot be the subject of two proceedings or santions with similar functions and purposes. In Hungary the Constitutional Court has interpreted the rules of the ne bis in idem in administrative and criminal procedure for animal welfare fine and sanctions for cruelty to animals in Decision 8/2017. (IV.18) AB and the legislator settled its rules in Act on administrative sanctions which came into effect from the 1st of January, 2021. The recent study through practical issues approaches how principle prevails, its problems and possible solutions in the field of unlawful conduct in animal welfare, in particular regarding the role of the prosecutor.
Overview of SSDforR Functions

In this chapter, readers are given step-by-step instructions on how to access the software necessary to use <italic>SSD for R</italic>. They are also presented with a brief overview of the capabilities of the <italic>SSD for R</italic> package. These include basic graphing functions, descriptive statistics, many effect size functions, autocorrelation, regression, statistical process control charts, hypothesis testing, and functions associated with analyzing group data. In combination, <italic>R</italic>, <italic>RStudio</italic>, and <italic>SSD for R</italic>, all of which are freely available, provide a robust way to analyze single-system research data. This chapter demonstrates how to download the necessary software and provides an overview of the visual and statistical capability available with <italic>SSD for R</italic>.
Cyber Security, a Rocketing Challenge

One of the major concerns of this electronic world is the need to develop innovations in the field of health care cybersecurity. Data reveals that the first ransom attack was reported to be in the year 1989, which was quickly mitigated because of its simplicity1. But 2020 ransomware attacks appear to be more complicated with the sophisticated tool that helps the third-party or cyber attackers to hide from undetected breach detectors. Here arises the need to be aware on the topic and measures to prevent it. This article shall provide a brief knowledge regarding cybersecurity in health care system, threats and pointout some measures to prevent it.
Light Weight Cryptography based Medical Data and Image Encryption Scheme

Many medical companies use cloud technology to collect, distribute and transmit medical records. Given the need for medical information, confidentiality is a key issue. In this study, we propose an encrypted scheme based on encrypted data for an electronic healthcare environment. We use hybrid Attribute based encryption and Triple DES encryption technique (ABETDES) scheme, including identity-based cryptography (IBC), to ensure data privacy through communication channels և to improve the reliability of cloud computing. There are also limited indicators of light processing and storage resources. This solves a serious maintenance problem and ensures that a private key is created where it is not blind. The introduction of a security option, a comprehensive security analysis to protect ciphertext, shows that our program is effective against many known attacks and compared to existing methods.
Storage organization for "open" sets of entity attributes in relational databases

Relations are practically implemented by database management systems in the form of two-dimensional tables. In this regard, certain difficulties arise in the development of relational database schemas, in which it is necessary to represent objects with an alterable (open) set of attributes. The article proposes a solution to this problem by including special relations in the scheme - relations of properties directory. Properties directory allow replenishing the sets of object attributes without changing the structure of the database. Examples of the practical use of properties directory in the development of database schemas of two information systems are presented.
Internet of Samples: Creating and Mapping Controlled Vocabularies for Specimen Type, Material Type, and Sampled Feature

Material samples are vital across multiple scientific disciplines with samples collected for one project often proving valuable for additional studies.The Internet of Samples (iSamples) project aims to integrate large, diverse, cross-discipline sample repositories and enable access and discovery of material samples as FAIR data (Findable, Accessible, Interoperable, and Reusable).Here we report our recent progress in controlled vocabulary development and mapping.In addition to a core metadata schema to integrate SESAR, GEOME, Open Context, and Smithsonian natural history collections, three small but important controlled vocabularies (CVs) describing specimen type, material type, and sampled feature were created.
Convincing Prospects to Switch Mobile Phone Providers: A Mind Genomics Cartography of an Everyday Opportunity to Optimize Messaging

Clearly the academic literature reflects the interest in mobile telephony, and the services provided.What is just as interesting are the topics.What emerge from the literature search is what might be expected, namely studies of the topic in different countries, namely what are the important aspects to which people attend.Here are two representative titles of papers.The focus is on the general process of how people think about the issue of switching: Switching behavior of mobile users: do users' relational investments and demographics matter? [1]Drivers of brand switching behavior in mobile telecommunications.[2] The search through many of the Google Scholar® hits reveals two patterns.The first pattern is the academic effort to simplify the topic of switching into a set of actions, or need states, viz., the need to
Saúde mental dos trabalhadores de saúde da Atenção Primária durante a pandemia da COVID-19: protocolo de revisão de escopo / Mental health of Primary Care Health workers during the COVID-19 pandemic: scope review protocol

Objective: to map the studies on the mental health of workers in Primary Health Care during the COVID-19 pandemic.Primary Health Care plays an important role in the restructuring and organization of health services, as it can guide and insert the subject to access mental health care, providing longitudinal and comprehensive care.In the COVID-19 pandemic, declared by the World Health Organization as a public health emergency, it has revealed that the main impacts on mental health are related to factors of emotional distress, such as: anguish, insomnia, anger, stress and fear.Methods: This is a scope review protocol built according to the PRISMA-ScR checklist recommendations.The study was registered in the Open Science Framework.Eligibility criteria were defined based on Population, Concept and Context.Thus, studies on PHC health workers (Population), strengths and weaknesses in mental health (Concept) in the covid-19 pandemic (Context) will be included.
The Necessity and Direction of Music Education for Liberal Arts at Universities (Experience-oriented Music Education)

본 연구는 대학 교양교육에서 음악교육이 가지는 중요성과 기존과는 다른 체험중심의 교육이 어떻게 구성되는지에 대한 사례로서 2015-2018년까지 시행된 <레드바이올린>이란 강의가 주차별로 어떻게 진행 되었는지에 대해 살펴보았다. 이론과 실기를 적절하게 배합하여 바이올린을 배워가는 과정을 통해 학생들은 피상적인 지식이 아닌 음악이란 예술을 직접 느낄 수 있는 체험교육의 긍정적인 효과를 알아보았다. 바이올린을 배우고 연습하고 연주를 준비하는 과정을 통해 학생들은 집중력과 인내심, 앙상블을 통한 소통능력, 무대매너, 표현성 다양한 측면의 성장을 경험했다.This is a case study of the importance of music education in university liberal arts education and how an experience-oriented education that differs from the existing methods of education is composed. Through the course of learning the violin by appropriately combining theory and practice, the students found the positive effect of experiential education that allows them to directly feel the art of music rather than acquiring superficial knowledge. Through the process of learning, practicing, and preparing for the concert, students have developed concentration and patience, in addition to communication skills, stage manners and expressiveness through ensemble interaction.
Awareness Video Creations to Support Rookvrije Voetbalstadions in FC Twente

A "no smoking" policy as part of Rookvrije Voetbalstadions or Smoke-free Football Stadiums Campaign will be applied in all soccer stadiums below the Eredivisie and Keuken Kampioen Divisie starting the season 2020/2021. As one of those soccer stadiums, FC Twente has several problems realizing the "no smoking" policy. First is the online issue; lack of media as a source of information and knowledge. Second is the offline issues; no "no smoking" sign inside the stadium and minimum enforcer source. These problems lead to the reason for the unawareness situation of their smoking visitors. An Awareness Video has been made to help FC Twente raise their smoking visitors' awareness of the "no smoking" policy inside the stadium. The writer has done observation on the stadium, researched FC Twente's fans, and analyzed both, using Design Thinking Methodology as the framework.
Overview of Programming

Now that we have covered some of the basics of computer science and algorithms, it’s time to get into the nitty-gritty of applying those concepts. Just as an astronomer uses a telescope to carry out their craft, so does the computer scientist using programming to bring their algorithms and ideas into reality. The point is that programming is a tool for transforming procedural steps into real life code that can be used. Consequently, we need to understand how to write these programs so that we can get actually useful outputs from an algorithm or (in the coming chapters) an AI program. In this chapter, we’ll be writing up a program to do a simple task, finding the roots of a quadratic equation. First, we’ll go over what programs are. Then, we’ll outline the task at hand. Finally, we’ll go through a few attempts at trying to solve the task at hand, learning basic Python syntax and concepts along the way.
Quality control of educational process in higher education institutions: international experience

This article examines issues and approaches for ensuring quality teaching in universities. Incorporating the achievements of leading international figures, the article provides ideas and practical advice to help universities observe teaching quality and offers insights into how the topics raised can be directly applied. Initially, some key issues related to the topic are identified, such as: defining evidence-based teaching quality; training university, and engaging students in developing quality teaching in higher education. Ideas and initiatives to address these challenges are presented: Quality assurance – what “quality assurance” means and how it can be put into practice; defining quality – exploring what knowledge currently exists and how it can be explored further; quality development – research on the development of educators through teacher training and assessment; quality assurance examples – an overview of research on quality assurance.
Optimal Vehicle Scheduling of Logistics Distribution in Foreign Trade Enterprises based on Hybrid Quantum Genetic Algorithm

Logistics refers to the behavior of suppliers to meet customers' logistics needs by organizing and managing such basic functions as transportation, storage, loading and unloading, handling, packaging, circulation processing, and distribution. The concept of logistics was originally put forward by the United States. After nearly a century of theoretical and practical research, the United States has been at the forefront of the development of logistics in the world. In this paper, a variety of characteristics of quantum state in quantum theory are transplanted to algorithm theory, which greatly makes up for the lack of parallel computing ability of traditional algorithms, and provides an effective improvement method for traditional algorithms when they face increasingly complex engineering practical problems.
Research on Electronic Image Stabilization Technology of Vehicle-Mounted Remote-Controlled Weapon Station

Abstract The image information of the vehicle-mounted remote-controlled weapon station is jittered and blurred when the stance changes or vibrates, which increases the aiming difficulty and observation fatigue of the shooter, in order to realize the stable marching fire of the vehicle-mounted remote-controlled weapon station, the two-stage stable scheme with the shared gyro sensor is adopted in the system design, namely, the aiming device is rigidly fixed on the initially stable weapon platform, and then the electronic image stabilization is carried out. This paper proposes an approach combining two image stabilization schemes: gyro sensor data and image projection registration, optimizes the selection of image compensation data by registering and comparing the results of the two stable data, and uses the special features of the two schemes to improve the robust stability of electronic image stabilization, which ensure the observation effect of video image stabilization of the vehicle-mounted remote-controlled weapon station.
Digitalization in the Educative Process Specialists for Gas Pumping Stations

Training specialists for the oil and gas industry is a complex process that requires unique equipment and advanced technologies.Gas production and transportation is classified as hazardous production facilities.Therefore, the employees of these enterprises require periodic certification and retraining in the field of industrial safety of hazardous production facilities of the oil and gas industry.Most educational institutions cannot afford to conduct classes on expensive laboratory equipment.Therefore, computer simulators are becoming increasingly popular in the educational process.The paper reviews the most popular computer simulators for training specialists in the oil and gas industry.
Question Similarity Measurement of Chinese Crop Diseases and Insect Pests Based on Mixed Information Extraction

The Question Similarity Measurement of Chinese Crop Diseases and Insect Pests (QSM-CCD&IP) aims to judge the user's tendency to ask questions regarding input problems.The measurement is the basis of the Agricultural Knowledge Question and Answering (Q & A) system, information retrieval, and other tasks.However, the corpus and measurement methods available in this field have some deficiencies.In addition, error propagation may occur when the word boundary features and local context information are ignored when the general method embeds sentences.Hence, these factors make the task challenging.To solve the above problems and tackle the Question Similarity Measurement task in this work, a corpus on Chinese crop diseases and insect pests (CCDIP), which contains 13 categories, was established.Then, taking the CCDIP as the research object, this study proposes a Chinese agricultural text similarity matching model, namely, the AgrCQS.This model is based on mixed information extraction.Specifically, the hybrid embedding layer can enrich character information and improve the recognition ability of the model on the word boundary.The multi-scale local information can be extracted by multi-core convolutional neural network based on multiweight (MM-CNN).The self-attention mechanism can enhance the fusion ability of the model on global information.In this research, the performance of the AgrCQS on the CCDIP is verified, and three benchmark datasets, namely, AFQMC, LCQMC, and BQ, are used.The accuracy rates are 93.92%,74.42%, 86.35%, and 83.05%, respectively, which are higher than that of baseline systems without using any external knowledge.Additionally, the proposed method module can be extracted separately and applied to other models, thus providing reference for related research.
A PROPOSAL FOR RECALIBRATION OF A VOCABULARY LEVELS TEST AS DIAGNOSIS OF LATE BILINGUALS’ L2 PROFICIENCY

his study explores the recalibration and adequacy of a measure of vocabulary size – the Vocabulary Levels Test (VLT) – as a predictor of Brazilian Portuguese-English speakers’ ability to access grammatical representations through their non-dominant language. Such endeavor concerns a specific part of the test (composed majorly by cognates) which has been blurring the results when participants are natives in Latin-derived languages, such as Brazilian Portuguese. A new test (nVLT) was designed, with a novel version of this problematic part (level 4) present in the older test that, now, avoids the proliferation of cognates. Both versions were applied to a number of Brazilian participants and the results were correlated with another proficiency measure, taken from an acceptability judgment task designed according to the model reported in Souza et al (2015). When the low-proficiency participants took the VLT, there were a decreasing pattern in their scores from the first level of the exam all the way to level 3 (because each level is harder than the preceding). But, when they got to level 4, which is “harder” than level 3, their scores increased surprisingly, and then decreased again in level 5. When they performed the nVLT, which has a level 4 recalibrated (without latin cognates), the decreasing pattern was maintained evenly through the whole test. These results from nVLT show an internal coherence of the test due to the recalibration.