Reviewerly/exHarmony huggingface dataset:
Eye Directive Wheelchair for Physically Impaired People

The eye directive wheel chair is a mobility-aided device for persons with moderate physical disabilities or chronic diseases as well as for the elder people. Nowadays electric wheelchairs in the market are mostly controlled by joystick which required users to operate with hands flexibly. But this wheelchair could not be used by people with hand disability. This paper designs an electric wheelchair controlled by eye movements. According to position of the eye, wheelchair motor will be directed to move left, right and forward, stop by using Raspberry-Pi. In addition to this, for the safety purpose ultrasonic sensor is mounted in front of wheelchair to detect the obstacles and it automatically stop the wheel chair.
Pemilihan E-commerce Terbaik Menggunakan Metode Fuzzy Topsis Intuisionistik

The current technological era has rapid progress so as to bring change in all fields to become all-digital. The impact of these technological advances also occurs in business transactions. E-commerce is a media of buying and selling transactions in digital form. E-commerce used in this study is e-commerce with the type of Business to Customer (B2C). The number of e-commerce established sometimes makes consumers waver in choosing e-commerce with good quality. The selection of the best e-commerce in this study uses four e-commerce sites, namely Tokopedia, Shopee, Lazada, and Bukalapak. Four e-commerce sites were selected based on the best e-commerce sites in Indonesia which were then carried out preliminary research with the target respondents of Surabaya residents. In the selection of the best e-commerce rated based on ten good e-commerce criteria namely application quality, product variety, completeness of description, price, variation of payment methods, variation of shipping methods, suitability of goods with pictures, speed in replying to customer questions, timeliness in packaging product, loyalty to the customer. The purpose of this study is to be able to find out how to determine the weighting of criteria and to know the application of Fuzzy Topsis Intusionistik to each criterion in the Selection of the Best E-commerce and to know the results of the application of a Decision Support System (SPK) using Fuzzy Topsis Intusionistik for the Best E-commerce Selection. The results of the calculation of the selection of the best e-commerce using the Fuzzy Topsis Intuitionistic method obtained recommendations about the best e-commerce with an assessment of (0.899439594851584) on Shopee
PIQ: Persistent Interactive Queries for Network Analytics

Network monitoring is an increasingly important task in the operation of today's large and complex computer networks. In recent years, technologies leveraging software defined networking and programmable hardware have been proposed. These innovations enable operators to get fine-grained insight into every single packet traversing their network at high rates. They generate packet or flow records of all or a subset of traffic in the network and send them to an analytics system that runs specific applications to detect performance or security issues at line rate in a live manner. Unexplored, however, remains the area of detailed, interactive, and retrospective analysis of network records for debugging or auditing purposes. This is likely due to technical challenges in storing and querying large amounts of network monitoring data efficiently. In this work, we study these challenges in more detail. In particular, we explore recent advances in time series databases and find that these systems not only scale to millions of records per second but also allow for expressive queries significantly simplifying practical network debugging and data analysis in the context of computer network monitoring.
PENERAPAN DATA MINING UNTUK MEMPREDIKSI KOMPETENSI SISWA MENGGUNAKAN METODE DECISSION TREE ( STUDI KASUS SMK MULTICOMP DEPOK )

This study discusses the application of data mining to predict student competencies using the decision tree method.In this study applying data mining to predict student competency using the decision tree method.This research was conducted to predict student learning outcomes based on report card grades semester 1, semester 2 semester 3 and semester 4. Data were then managed using Rapid Miner to facilitate predicting student competencies.The study was conducted at Multicomp SMK which has 3 majors namely Hospitality Accommodation, Online Business and Marketing and Multimedia.Research using data from students in each department includes class X and class XI.The application of data mining is used to predict student competencies by using a decision tree and C 4.5 algorithm as a support as well as a comparison to determine the competency of students of Multicomp Depok Vocational School based on both methods.This method is able to measure the ability of students appropriately and be able to provide an understanding at a certain level according to the needs of Indonesian education has a pattern and learning strategy based on students' reasoning abilities.Students are expected to be able to analyze a problem well and find the right solution.students are not accompanied by an 11 JURNAL SWABUMI Vol. 9 No.1, Maret 2021: 9-18 adequate education system or curriculum.Teacher competencies that are not evenly distributed in various schools and governments are felt to be very lacking in realizing reasoning based education systems.
Ανάλυση χρονοσειρών για την πρόβλεψη της συμπεριφοράς των χρηστών στο Twitter

The rapid progress of the internet and its huge impact and use by the general public, has brought about huge changes in people’s lives. A typical example is social media, which is attracting the interest of more and more people, thus revolutionizing the way users communicate with each other and businesses with their customers. Twitter is one of the most popular social media, used daily by millions of users around the world, through which they share, communicate and interact, creating a unique source of rich and endless data flow. In recent years, companies have turned their attention to ways in which they can take advantage of this data storm, the exploitation of which offers unprecedented opportunities, playing a leading role in understanding and managing consumer behavior. The marketing strategy that a company follows is not always the same and varies, depending on the stage of the relationship between the company and its customers. The subject of this dissertation focuses on the development of a system that can predict the future state of the relationship between Twitter users and a particular brand. In the first stage, time series are collected and analyzed from the social network Twitter, in order to determine the state of the business-consumer relationship. In the second stage, using machine learning algorithms, an attempt is made to assess the state of this relationship in the future.
TRANSLATION EQUIVALENCE ANALYSIS OF ABSTRACT TRANSLATION IN FACULTY OF COMPUTER SCIENCE UNIVERSITY OF BANTEN JAYA 2019

The research is content analysis which explores the using of translation equivalences applied in Faculty of Computer Science. Considering that the Faculty of Computer Science indirectly and unconsciously often carry out the process of translation in daily activities in the programming language used. The research thus aims to provide how is translation equivalence and what is the dominant translation equivalence used in translation of abstract internship report in Faculty of Computer Science 7th semester in Banten Jaya University 2019. The data conducted from 3 sections of collecting data which taken randomly from 20 abstract translations of internship report, divided into 10 abstracts from Information System Program and 10 abstracts from Information Engineering Program. The Mona Baker’s theories applied in the order to identified and classify the translation equivalences. Furthermore, Miles and Huberman method also used to analyzed the abstract of internship report to find out the first question. In the other hand a formula by Butler used to find out the second question. As the result of this research, the most dominant translation equivalence used is Above Word Level Equivalence with 35 cases (28.69%), which followed by Pragmatic Equivalence with 30 cases (24.59%), Word Level Equivalence with 26 cases (21.31%), Grammatical Equivalence with 16 cases (13.11%), and Textual Equivalence with 15 cases (12.30%).The research concludes that the translation equivalence in translations process depend on the translator point of view.
Intelligent volumetric additive manufacturing

Christophe Moser is Associate Professor of Optics and Section Director in the Microengineering department at EPFL. He obtained his PhD at the California Institute of Technology in optical information processing in 2000. He co-founded and was the CEO of Ondax Inc (acquired by Coherent Inc.), Monrovia California for 10 years before joining EPFL in 2010. His current interests are ultra-compact endoscopic optical imaging through multimode fibers, retinal imaging, additive manufacturing via volumetric 3D printing with light. He is also the co-founder of Composyt light lab in the field of head worn displays in 2014 (acquired by Intel Corp), Earlysight and Readily3D. He is the author and co-author of 70 peer reviewed publications and 50 patents.
Cloud Applications Adoption: User Study Survey From Industry and Academia

Cloud computing has changed the ways software systems are developed, deployed, and managed. Even though cloud computing could reduce cost, time to market, and increase the scalability of applications and systems, there are some debates about the actual adoption of cloud computing in general and cloud applications in particular by organizations from both, industry and academia, and whether stakeholders of organizations look for them as opportunities or risks. To answer these debates, we conducted a user study that included professionals from industry and academia, with various experience levels and job-roles, to be able to get a common understanding of the real value of cloud computing. In particular, the study included questions about the preferred approach of developing green-field applications and the availability of resources and expertise. In addition, it included questions about the cost of development, maintainability, and operations of cloud applications. The results of the user study are presented and discussed, and we believe that it is promising and could be used as the base of future directions of research and technology innovation.
Features of distance teaching of chemistry to students natural science direction

This article is about specifics of "Chemistry" teaching, especially distantly.It describes negative and positive aspects.
Realistic Workload Generation for Cloud Data Centers

This paper proposes a new method for creating synthetic workload traces in accordance with the distribution and time characteristics of a given actual workload trace. To this end, we first find the distribution that fits to the actual workload trace, then rearrange the random samples that are generated from this distribution such that the final synthetic trace has time characteristics that are similar to the actual trace. We evaluate our method using real virtual machine and task request traces of Azure and Google cloud data centers. Our method enables generating synthetic traces that can be used for a more realistic evaluation of cloud data centers.centers.
Libraries of the Komi Region as an Element of Civil Society Formation in Ethnical Regions of Imperial Russia. The Second Half of the 19th — Early 20th Century

The article considers the activities of libraries in the Komi region as an element of the civil society formation in the second half of the 19th – early 20th century. Published and unpublished historical sources are used to reconstruct the libraries’ activities. They are well known to experts, and yet some issues have never come to the researchers’ notice. The author proposes to include materials on the history of librarianship in the Komi region in the context of studying issues of everyday life and civil society formation in the region. In the studied period there were libraries of various types in the region: public, clerical, monastic, and those of educational institutions. The latter were replenished at the expense of the Ministry of National Education or by donation. Clerical and monastic libraries were sponsored by the Vologda Spiritual Consistory, Synod, and Ministry of National Education. In the second half of the 19th – early 20th century the libraries of the Komi region catered cultural needs of the population, organizations and unions and promoted civil society formation.
Distance educationin Kazakhstan

The article examines the process of creating a model of distance education in the Republic of Kazakhstan, due to the search for answers to the global challenges of the XXI century. In many ways, the transition to a distance education formatwas accelerated by the COVID-19 pandemic, as a result of which a state of emergency was declaredon the territory of the republic. The new model of education required the creation of digital content, the development of the didactic foundations of digital technologies. However, for Kazakh teachers, along with universal approaches to distance learning, the main thing remains to preserve the values of ethnopedagogy.
Philosophical And Methodological Aspects Of The Scientific Picture Of The World And The Humanization Of Science

In the modern intellectual question analysis of the humanitarian fields of scientific knowledge is indicated as an important philosophical problem. The fundamental intentions of the cultural development of the 21st century intersect at this point: on the one hand, there is an awareness of the loss of spirituality, and on the other, the indication of science as the highest human value. Science, entering into the mysteries of space, living matter and the human body, creates rise to acute social, ideological, methodological and humanistic problems concerning the individual and social aspects of man. The large amounts of scientific knowledge development should be combined with humanistic ideals, otherwise it is sure to give rise to further discord to the human condition and the world of culture. Next natural question arises in the problem of humanizing science context: "What should be the peak of scientific knowledge in order to avoid further mismatch between man and nature, society, science and humanitarian ideals?" As a result, the task arose to supplement the analysis of scientific aspects of cognition with an analysis of its synergetic, existential, axiological components. It is necessary to consider cognition not only as discovering the objective truth apart from man or from mankind, and also as part of the human-species, containing valuables that act to determine the human genuineness. With this in view, we will consider how the ideal of science is changing, leading from principle ontology when the most significant value for the cognizing subject is the world in itself, to taking into account the subjective conditions under which principles of new knowledge are gained. The evolution of the paradigm of science and the scientific picture of the world is shown. This evolution goes through three stages: classical, non-classical and post-non-classical.
Mueller matrix orientation parameters unwrapping for statistically viable distribution

Mueller matrix microscopy is a promising non-invasive tool for pathological diagnosis due to its sensitivity to microstructures and its non-reliance on high spatial resolution. Such technique is sensitive to anisotropy, but the majority of such information is deeply hidden within the orientation parameters such as αq, αr, αP and αD. Analysis of them is challenging because orientation parameters varies when the sample’s spatial azimuthal angle changes relative to the imaging system, and the range boundary imposed by the arctan function prevents the parameters from forming a continuous distribution. As the result, the use of orientation parameters is generally avoided during quantitative analysis, despite the rich information they encode. In an effort to resolve these challenges, we propose a novel method for analyzing orientation parameters extracted from Mueller matrix polarimetry. The angular pixel values in the parameter images are unwrapped by assuming continuity, transforming the distorted distribution into one that is statistically viable. The unwrapped orientation parameters are then used for pathological slides analysis. Frequency distribution histograms of the orientation parameters before and after unwrapping are compared, the validity of the proposed method is demonstrated.
The Use of Social Media Platforms as Awareness Creation Tools for the Hepatitis B Virus in Lagos State

The social media have constituted a fundamental platform for the dissemination of vital information for use by members of the society.This makes it necessary to expect that some vital information on health issues, such as Hepatitis B Virus, can be transmitted to people through social media platforms, despite some outstanding dysfunctions of the social media.This study examines the extent to which social media platforms are used to the tools for creating awareness on Hepatitis B Virus in Lagos, Nigeria.The population of the study was 14,368,332 which was the projected population of Lagos State.The sample size was 400 selected through the multi-stage sampling method.The questionnaire was the instrument for data gathering.Findings of the study revealed that majority of Lagos State residents were exposed to social media platform.Also messages on Hepatitis B Virus were transmitted through the various social media to residents of Lagos State.It was therefore recommended among other things that operator and managers of health facilities in Lagos State should make use of the social media platforms as part of the potent channels of transmitting information on health issues such as Hepatitis B Virus.
Mineral Prospectivity Modeling using AVIRIS-NG VNIR-SWIR data and Gravity data for Gold-Sulphide mineralization in parts of GADAG schist belt, Karnataka, India&amp;#160;

&amp;lt;p&amp;gt;Gadag schist belt, India is known for sulphide-gold mineralization. In the study area mineralization is controlled structurally and lithologically. In this context, Airborne Visible-Infrared Imaging Spectrometer - Next Generation (AVIRIS-NG) Visible Near InfraRed (VNIR) - Shortwave Infrared (SWIR) bands were utilized to derive alteration zones and structures present in the study area. Lithological boundaries have also been updated using AVIRIS-NG VNIR-SWIR bands derived images enhancement products i.e. Minimum Noise Fraction (MNF) and False Colour Composite (FCC). Further, image spectra of alteration zones (Hydrous mineral etc.) derived from AVIRIS-NG calibrated VNIR-SWIR bands were compared with the standard corresponding reference library spectra (USGS, JPL spectral library). These image spectra have been utilized to demarcate the alteration zones using the Matched Filtering spectral mapping method. Structures were demarcated using high pass (HP) filtered image and FCC images. Low pass (LP) filter image and along with MNF &amp;amp; FCC image composite were utilized to update the lithological boundaries in the study area.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Ground gravity data has also been processed to derive the subsurface evidences relevant to the deposit in the present study area. Subsurface structures which are responsible for the transportation of mineral rich fluid in the near subsurface are delineated using the gravity data derived products. Apart from this, basement depths are also derived from the gravity data which are being utilized for the validation as well as to further precise the locations of mineral deposits. &amp;amp;#160;These subsurface structures (gravity data), lithology, lineament density and alteration zones are very important evidential layers which have been integrated using fuzzy logic integration techniques to identify potential zones of gold-sulphide mineralization in the present study area. The prospective zones are validated using the secondary data and basement depth derived from the gravity data.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;For similar kind of gold-sulphide mineralization, AVIRIS-NG data and Gravity data can be used to derive the important evidential layers in any part of the world. There are only few studies where such integration approach has been utilized to explore new potential zones of gold sulphide mineralization.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Keywords: AVIRIS-NG, VNIR-SWIR, alteration, MNF, FCC, Gravity, Basement Depth&amp;lt;/p&amp;gt;
Проблеми латентизації кіберзлочинності в Україні

The abstracts examine the latent nature of cybercrimes.The main conditions and reasons for the emergence of cybercrime latentization are established.
ICF 핵심 코칭역량 신 ·구모델의 비교연구

This study analyzes eight core coaching competency models recently presented by the International Coaching Federation (ICF) to enhance the competence of professional coaches by comparing them to 11 existing competencies. The study conducted a comparison of the background of the eight updated competencies and differences between the 11 existing and 8 updated competencies, and looked at the interpretation and application of the eight competencies. The differences between the eight competencies in this study compared to the existing competencies are as follows. First, the eight competencies included the highest emphasis on ethical behavior and confidentiality that coaches should have, coaching mindsets and ongoing reflection as professional coaches, the importance of partnerships with customers, differences between various coaching agreements, and cultural, systematic and contextual perceptions. Second, the new content and basic components of coaching capabilities reflect the key elements of today's coaching practice and will be used as a stronger and more comprehensive coaching standard for the future. Third, the new competency model uses simpler, easier-to-understand, consistent and clear language. This study will provide a basic study of the core coaching competency model and expand the understanding of core competencies by professional coaches in the future.
Internet of Things-Based Secure Healthcare Framework using Block Chain Technology

Today, the Internet of Things (IoT) is becoming more common and finds applications in several domains, especially in the healthcare sector. Due to the rising demands of IoT, a massive quantity of sensing data gets generated from diverse sensing devices. Artificial Intelligence (AI) techniques are vital for providing a scalable and precise analysis of data in real time. But the design and development of a useful big data analysis technique face a few challenges, like centralized architecture, security, and privacy, resource constraints, and the lack of adequate training data. On the other hand, the rising blockchain technology offers a decentralized architecture. It enables secure sharing of data and resources to the different nodes of the IoT network and is promoted for removing centralized control and resolvingthe problems of AI.