Reviewerly/exHarmony huggingface dataset:
Novel parallel processing techniques for <scp>IoT</scp>‐based machine learning applications

This special issue of Concurrency and Computation: Practice and Experience comprises four papers extending the original workshop publications accepted and presented at MPP 2019 (8th Workshop on Parallel Programming Models – Special Issue on IoT and Machine Learning), held in Rio de Janeiro in conjunction with IPDPS 2019. The papers represent interesting research ideas of parallel programming models, tools, and optimizations suited for being applied to IoT-based applications. The paper titled “Enabling Heterogeneous Ray-Tracing Acceleration in Edge/Cloud Architectures” represents a very interesting research on reconfigurable accelerators for Ray-Tracing, specialized in computing ray-triangle intersections at the network edge of a heterogeneous cloud computing environment. The authors validated their approach on the Xilinx Zynq FPGA platform. The paper titled “An Incremental Reinforcement Learning Scheduling Strategy for Data-Intensive Scientific Workflows in the Cloud” is a research work proposing a new scheduling algorithm based on Reinforcement Learning for scientific workflows on HPC distributed resources and Clouds. The paper titled “Latency-aware Adaptive Micro-Batching Techniques for Streamed Data Compression on GPUs” proposes a set of Autonomic Computing strategies for configuring the optimal parallelism degree and batch size on streaming data compression parallel applications on GPU architectures. Finally, the paper titled “Gamma – General Abstract Model for Multiset mAnipulation and Dynamic Dataflow Model: an Equivalence Study” is an interesting research study on new applications of the Gamma Model (General Abstract Model for Multiset mAnipulation) and its joint utilization with the Dataflow programming model. As Guest Editors, we would like to express our gratitude for the valuable contributions made by all authors. We would like to thank all the reviewers who helped us during the thorough review process based on several review rounds. Finally, we would like to thank all the editorial board members and all staff of Concurrency and Computation: Practice and Experience for allowing us to publish our Special Issue and for their invaluable support during the whole publication process.
Research on Application of emojies in network customer service

Abstract Emojies in online shopping, online customer service is widely application. Through the investigation of Internet consumers and network service personnel, this paper from the frequency of use, attitudes, preferences and other describes the network consumer, customer service personnel to use emojies status, through the score analysis, for customer service staff in working process using emojies recommendations: positive use of emojies and use emojies are less, pay attention to the frequency of use of emojies, in the form of written words + emoticons to consumers, emojies should be placed at the end of the sentence.
Energy Consumption in a Data Control Center of a Cloud-based Cyber-Physical System

Cloud computing and Cyber-physical system (CPS) have gradually emerged as new generation of digital technologies with important research fields in recent times. With the merger of Cloud computing and CPS to form a Cloud-based cyber physical system (CCPS), more functionalities are realized and the performance of CPS is improved when compared to the traditional CPS. However, there are quite some energy challenges in CCPS especially in the data control center. In this work, the energy consumed in the data control center is evaluated while creating a strategy for resource utilization in improving energy efficiency. Simulation results highlight the effects the number of workloads has on the energy consumption of the data control center and also show the energy efficiency of the data control center with different resource utilization at an increasing number of workloads.
Signature image identification using hybrid backpropagation with firefly algorithm and simulated annealing

Signature pattern identification is a process of identifying pattern recognition because the signature is the primary mechanism for the authentication and authorization process in legal transactions. In this study, the identification of signature images using hybrid backpropagation with firefly algorithm and simulated annealing. There are three main stages in the backpropagation training method, namely feedforward, backpropagation of error, and updating weights and bias. Firefly algorithm and simulated annealing replace the backpropagation training process at the backpropagation of error stage and the weight and bias update stage, while for feedforward still use the existing algorithms in backpropagation training. The stages in the signature image identification process include image processing, namely the grayscale process, binary image, segmentation process, training process, and validation test process. Based on the results of the training process, the best weights and biases are obtained with a mean square error value of 0.00608. The results of the signature image identification show that the system has been able to recognize the image pattern well with a percentage of 93%.
Motivation in the formation and development of professional competence in preschool educators based on a person-centered approach

This article develops a model for the organization of the process of formation and development ofprofessional competence of teachers ofpreschool education, and provides information on the use of this model in vocational training.
LibGuides: Trouble Shooting Database Access: Common Problems and Solutions

This is a guide to troubleshooting problems with access to databases through the University of Dallas Cowan-Blakely Memorial Library.
On the Performance Analysis of Efficient Path-Planning Algorithms for Fire-Fighting Robots

Fire-fighting robots with the ability to detect and extinguish fires are extremely useful in saving lives and property. However, most of these fire-fighting robots have been designed to operate semi-autonomously. Using path-planning algorithms to guide the robot to move from the present position to the target position would greatly improve the performance of the robot in the fire extinguishing process. Two types of sampling-based path-planning algorithms, namely, Rapidly Exploring Random Tree (RRT) and Rapidly Exploring Random Tree Star (RRT*) are investigated in this paper. The performances of these algorithms are analyzed and compared based on the computational time taken to generate paths and the length of the paths generated in order to select an effective path-planning algorithm. After investigation, RRT* is chosen for path-planning in both static and dynamic obstacle environments.
Tinjauan Yuridis Terhadap Tindak Pidana Perjudian Sepakbola (Studi Kasus Di Kalangan Mahasiswa UMS)

Gambling or gambling games disturb the community, because it is close to crime and communities disease. However, gambling has now developed following the times and following the wishes of the players, one of which is students who are involved in the game of football. Football gambling is the favorite one among young people, including collages students. Collage Students who have plug into gambling players who gambles boldly or even charmingly to fulfill their desire to play gambling, often gambling has quite significant impact on collages students, even though the percentage received is greater, there are still many students who do football gambling. Students often gamble both online and offline, both football or other gambling games, this is because collages students are addicted and supported by various factors that cause students to often gamble.
PLANO DE CUIDADO DE ENFERMAGEM PARA USUÁRIOS COM DIABETES MELLITUS / NURSING CARE PLAN FOR USERS WITH MELLITUS DIABETES

Objective: to develop a nursing care plan for users with diabetes mellitus, as a proposal for application in care activities in the context of primary care.Method: field, descriptive and exploratory study.The non-probabilistic sample for coexistence consisting of 40 users recruited during the nursing consultation, held in a Basic Health Unit.The data were analyzed using the Bioestat 5.3 program.Results: Five nursing diagnoses common to all were identified: Ineffective Health Control, Sedentary lifestyle, Risk of overweight, Activity intolerance and Risk of impaired skin integrity.Nursing interventions were based on teaching, multiprofessional assistance and direct care.Conclusion: The care plan
INNOVATIVE TRAINING OF FUTURE TEACHERS IN HIGHER EDUCATION INSTITUTIONS IN THE CONDITIONS OF DISTANCE LEARNING

The article analyzes important aspects of modernization and transformation of education. Distance learning is seen as an important individualized process of transfer and assimilation of knowledge and skills, which requires further justification of the basic principles of its implementation. The features of the structure of introducing pedagogical technologies of distance learning in the process of professional training of future teachers are revealed. The place and role of distance learning technologies in the system of higher education are determined. It is noted that with the development of technical capabilities of teaching methods and technology, the means of educational activities of the teacher change. It is now possible to use new organizational forms of the learning process using ICT. Today, education focuses on “free development”, high culture, creative initiative, independence, mobility of future professionals. It was found that the main purpose of the use of distance learning technologies in higher education institutions is to provide students with access to electronic educational resources through the use of modern information technology and social networks. Distance learning technologies in higher education reveal the possibilities of a positive impact on solving the main problems in the training of future professionals: improving the quality of education in higher education institutions; realization of needs of future specialists in educational services; increase of professional mobility and activity of future specialists; formation of a single educational space within higher education; individualization of education with a mass of higher education. The results of the study allow substantiating the expediency of introducing distance learning technologies in the training of future teachers. It is established that distance learning provides graduates with access to nontraditional sources of information, increases the efficiency of independent and individual work and creates completely new opportunities for creative selfexpression, development and improvement of various professional skills. And teachers, in turn, are allowed to implement completely new forms and methods of teaching with the use of information technology in the educational process.
Σχεδιασμός και υλοποίηση πληροφοριακού συστήματος διαχείρισης αρχαιολογικών ανασκαφών με την αξιοποίηση πολυμέσων, τεχνολογιών & υπηρεσιών Διαδικτύου και εφαρμογών κινητών συσκευών

In the field of archeology there is an increasing tendency to integrate computer technologies at every stage of the archaeological process. The direct digital recording of observations at the time and place of the actual excavation, as well as the integration of real-time observations in a database that always provides up-to-date and interconnected views of the overall excavation offers the archeology industry multiple benefits. Institutions, large and small, are launching digital conversion programs for a variety of reasons. Content Management Systems are always present during an interaction. The purpose of this paper was to create an archaeological content management system, using a well-known tool in the field of CMS, Wordpress. In the practical part of the work we showed how one can install Wordpress and the necessary plugins to create the desired page, without using any code and with no programming knowledge. Specifically we showed how an administrator makes the necessary settings required. Next we show how it can import objects with all the necessary information. Finally, we show the website as seen by the user, which is presentable and very easy to use.
Roadmap to Artificial Intelligence and Intellectual Property: An Introduction

Traditionally, the “intellectual” part of “intellectual property” (IP) refers to human intellect. However, since machines have become intelligent and are increasingly capable of making creative, innovative choices based on opaque algorithms, the “intellectual” in “intellectual property” turns out to be perplexing. Existing human-centric IP regimes based on promoting incentives and avoiding disincentives may no longer be relevant – or even positively detrimental – if artificial intelligence (AI) comes into play. Moreover, AI has sparked new issues in IP law regarding legal subjects, scope, standards of protection, exceptions and relationships between actors.This book proceeds in seven parts, each of which is interconnected. Part A provides the technical, business and economic foundations for the later analysis of IP issues in the AI environment in the following parts of the book. Part B examines emerging substantive patent law and policy issues associated with AI, including foundational patents in AI-related inventions, the patentability of AI inventions and how AI tools raise the standard of the inventive step. This part also illustrates how patent prosecution has evolved from material to textual to digital. Part C probes into two major copyright issues concerning AI’s involvement in creation: the copyrightability of AI-generated works and copyright exceptions for text and data mining (TDM). Parts B and C present various legal and policy concerns in patent law and copyright law, respectively. However, patent law, copyright law and trademark law occasionally share the same conundrum caused by the rapid development of AI technologies.From Parts D to G, this book covers issues relevant to multiple categories of IP. While AI has enhanced the efficiency of IP administration and enforcement, it has generated new problems yet to be solved. Therefore, Part D explores how AI reshapes IP administration in the public sector and IP enforcement in the private sector. Part E examines copyright and patent protection for AI software, which is qualitatively different from traditional computer programs. While AI is implemented by software, the protection for such software per se has been ignored by the mainstream IP literature. Part F discusses the protection of and access to data, which is the driving force of all AI inventions and applications. It further illustrates how IP law will interact with other fields of law, such as unfair competition law and personal data protection law, on various data-related issues. Part G provides a broader picture of AI and IP, searching for solutions to fundamental inquiries, such as IP and competition policy in the era of AI and whether an AI should be viewed as a legal person.
THE USE OF MEDIA IN TEACHING ENGLISH FOR STUDENTS WITH SPECIAL NEEDS

This research was motivated by the enthusiasm of grade 7 students of SLB Plus Madana Dun Ya in following English subjects after using learning media. Researchers are interested in researching more about the use of this learning medium in English language materials. This study aims to find out the influence of the use of learning media in English subjects to the spirit and interest of grade 7 students of SLB Plus Madana Dun Ya.This research is a field research, which is research that researchers descend directly into the field to explore and collect accurate data needed for research on the use of learning media in English subjects at SLB Plus Madana Dun Ya. The subject of this study was a grade 7 student of SLB Plus Madana Dun Ya, and the object was a learning medium for English subjects in the class.This research is qualitative, which is a research approach that concludes in terms of quality of the data that has been analyzed and interpreted in depth. Data collection in this research was conducted by observation, interview, and documentation. After the data collected, the interpretation is done based on the analysis of existing theories about learning media.After the research, the authors found that the use of English language learning media is appropriate and correct. The response of learners in the use of learning media during the learning process is good.
The study of the possibility of X-ray inspection of fiber-optic sensors embedded into the structure of a polymer composite material

Abstract Annotation. Currently, during the operation of structures, it is important to use the so-called systems for monitoring the state of structures, which in real time allow you to monitor changes in temperature and deformation fields. To diagnose the condition in such systems, various sensors are used, for example, strain gauges, fiber-optic, piezoluminescent. Most modern monitoring systems use fiberoptic sensors because they have more advantages and fewer disadvantages than other sensors. When monitoring the state of a structure, fiber sensors are mounted on the surface of the structure, however, when monitoring structures made of composite materials, it is possible to introduce fiber lines directly into the structure of the composite material at the stage of manufacturing the structure. When fiber lines are introduced into the structure of a composite material, a number of difficulties arise, namely, due to the fragility of fiber lines, breaks are possible both at the exit from the structure and inside. When considering polymer composite materials, the problem of the location of fiber sensors arises due to the resin flow during the process of forming structures. The solution to the problems described above can be the creation of the so-called Smart-layer, in which the fiber lines will be rigidly fixed, which will protect the fiber from breaking, and limit the movement of the fiber during the formation of structures. Thus, within the framework of this work, we investigate the issue associated with the assessment of the location of fiber sensors in the Smart layer after the formation mode. The location of the sensors after the structure is formed is investigated by radiation methods of non-destructive testing.
Digital educational space in the professional training of music teachers

Professional training of music teacher is a versatile and creative process. It includes numerous areas, such as instrumental and vocal training, studying pedagogical technologies for working with children, studying masterpieces of world music art, and, certainly, studying digital resources and technologies. Digital education space is a digital environment integrating opportunities of digital education resources, computer-aided music technologies and tools, which is the basis in training music teacher. The importance of skills of setting as interactive accompaniment and basic user accompaniment in the form of phonogram is also stipulated by the specificity of accompaniment activity of music teacher as one of the major constituents of professional readiness. Imagination of music teacher as a concertmaster (accompanist of children singing) exerts the influence on whether he would be able by means of expressive playing and keyboard technique to underline and to support the temper of children singing, to present clearly and to reproduce instrument features by piano. That is, a music teacher should be aware of organology, know features of instrument sounding and peculiarities of various instruments. This is sufficiently aided by sequencer software with embedded banks of virtual tunes on synthesizer. In digital education space, video is presented as teaching aid for transfer of learning information, that is, it is considered as video aid, video device used for organization of education. Under existing conditions of distance learning, the interaction between teacher–choirmaster, teacher–vocalist, concertmaster, and students is supported by information and communication technologies. Therefore, mastering means and resources of digital education space is aimed at improved of professional training of future music teacher being the basis of formation of personal capabilities and skills of student.
IMPROVING STUDENTS’ READING ABILITY BY USING TASK BASED LEARNING OF VII GRADE AT SMP N 2 OGODEIDE

The aim of this research is to describe the application of Task Based Learning strategy to improve students’ ability in reading descriptive text. This research was conducted at SMP Negeri 2 Ogodeide from March to April 2017. This research is categorized as a collaborative classroom action research. The researcher worked collaboratively with one English teacher, Mr. Lisman S.Pd in the class. The researcher did two cycles in which each cycle consists of planning, acting, observing, and reflecting. The data were gathered through qualitative and quantitative data. The qualitative data were gained by analyzing observation result, field note, and interview. Then quantitative data were obtained from the students’ reading test. The result of this study show that task based learning is effective in improving students’ reading ability. Researchers conduct II cycles in this study. In cycle I the students’ mean score increased from 48% (preliminary test result) to 68% (final result of cycle I test). In cycle II, the students’ mean score is 80%. This means that classroom action research is successful. Then, the researcher concludes from this data, that task based learning is appropriate for reading because it makes students more active, participation and student value increase in reading ability.  Key Word: Improving, Reading ability, Descriptive text, Task based learning.
Aspects of assessing the quality of education at a university

The present research is aimed at identifying the quality of education from the perspective of students’ vision as participants in this educational process (according to the following criteria: fundamentality, sufficiency, modernity, level of digitalization of the quality of education), its impact on their educational level, and the study of students’ motivation to learn, based on their assessment of the content level of educational curricula. The main research method is a comparative sociological study, which compares the research data of students of the M. Akmulla Bashkir State Pedagogical University (BSPU) with the results of other monitoring studies conducted in the Russian Federation and the Republic of Bashkortostan. In addition to the questionnaire method, the focus group method was also used. The study revealed students’ attitudes to the quality of education, motivation to study, assessment of the content and quality of education, attitude to technologies, and learning conditions. According to the results of the 2019 study, 75% of students of BSPU were generally satisfied with the level of education quality. The novelty of the research is based on the following facts: quantitative parameters dominate over qualitative ones, which, as a result, leads to the information overload of the educational process subjects and a decrease in the level of competencies that determine the ability of students to think independently and analyze information.