Reviewerly/exHarmony huggingface dataset:
Classification Approach and Analysis for Predicting Social Emotion on User Review

Classification of opinions or sentiments is the core task in opinion mining. To accomplish this task, often Bag-Of-Words (BOW) is used as a feature for training a classifier in statistical machine learning.(ppr3) BOW (Bag-of-Words) is the most common machine learning method used for sentiment classification. However, this model does not address the problem of polarity shift due to fundamental limitations. This is one of the reasons which affect its overall accuracy. Based on the review of current prediction algorithms of network security situation, prediction algorithms. This paper discusses a method using dual training and dual prediction for sentiment classification while addressing the problem of polarity shift and also evaluates it. We propose a modified fuzzy approach with two stage training for dealing with text ambiguity and classifying types of hate positive, negative and neutral speech and compare its performance with those popular methods as well as some existing fuzzy approaches, while the features are prepared through the bag-of-words and word embedding feature extraction methods alongside the correlation based feature subset selection method. The experimental results show that the proposed fuzzy method outperforms the other methods in most cases. It extends the given framework from polarity (positive-negative) classification to 3-class (positive negative-neutral) classification, by taking the all reviews into consideration.
ARTIFICIAL INTELLIGENCE IN FRENCH LAW

The use of artificial intelligence in France is growing and intensifying in many areas, particularly in the field of justice. This revolution create problems with the liability and intellectual property of systems using artificial intelligence.
The effect of online lecture learning characteristics caused by COVID-19 on learning motivation, class satisfaction, and learning achievement of dental hygiene students

Objectives: The purpose of this study is to investigate the effects of online lecture learning characteristics on learning motivation, class satisfaction, and academic achievement of dental hygiene students and provide basic data for the design and operation of online lectures in future courses. Methods: This study was carried through the distribution of online questionnaire on learning motivation, online class satisfaction, and learning achievement with students who agreed with the purpose of this study, among dental hygiene students in Busan who agreed with the purpose of this study. Results: The variables of the online learning characteristics that influence learning motivation were the online lecture education effect and school system while the variables influencing the online class satisfaction were the online lecture education effect and school system. The variables of the online lecture characteristics that significantly influence the learning achievement were found to be the online lecture effect, school system, and homework. Conclusions: The results show that the higher the educational effect and academic system of online lectures, the higher the learning motivation and online class satisfaction while the higher the educational effect and academic system of online lectures and homework, the higher the learning achievement.
Architektura informacji a synestezja – rozważania teoretyczne i przykłady zastosowania w praktyce

The purpose of this article is to analyze the phenomenon of synesthesia in the context of information architecture. Synesthesia, as a phenomenon of perception of sensations by various senses, can have a positive or negative impact on the reception of the message. Well-designed information will convince the recipient of the content. The creators of websites, applications, advertisements, and equipment try to integrate the senses in the message for the benefit of the recipient. In the information architect’s work, one can see many practical implications of synesthesia. The article, with some prognostic and futurological elements, is to initiate studies on this subject.
SCHOOL ETHNOGRAPHIC EXPEDITION AS A FORM OF EDUCATIONAL ETHNO-CULTURAL TOURISM (ON THE EXAMPLE OF ULLYANOV REGION)

The article discusses the forms, types and methods of organizing a school ethnographic expedition, in the context of the importance of the formation of localhistory knowledge, research skills and patriotic education of the younger generation.
Analysis of Understanding the Concept Using Assignment Techniques on Students' Learning Interest in Irsyadul Islamah Mass PP

This study aims to analyze conceptual understanding and increase student interest in learning by using assignment techniques in the form of material and SPLDV questions and also an assessment questionnaire. This research uses descriptive qualitative research methods. The subjects who were the research targets were class VIII in MASS PP IRSYADUL ISLAMAH totaling 35 students. The research instrument used was an assignment questionnaire and an interest in learning outcomes. The material is used to provide understanding of the assignment and see the students' interest in learning the assessment subject. Seeing the interest in learning in student assignment techniques in solving problems with SPDLV Mathematics learning questions, students were given an assessment questionnaire on how the teacher applied Mathematics learning. The results of this study indicate that there is an increase in student interest in learning, The increase in research resulted in 11 highest numbers of learning interest, 21 moderate numbers and 3 were in the lowest numbers in student interest in learning. From the results of this study the researchers succeeded in suppressing the lowest number and increasing the highest number of students' understanding and interest in solving problems in learning mathematics. The results of the student's interest in learning obtained an increase in interest in learning by 6.58% in MASS PP IRSYADUL ISLAMAH.
Construction of a Micro Teaching Ecosystem Based on Cloud Class

The development of mobile Internet and online teaching platform provides the possibility to construct a micro-teaching ecosystem.The micro-teaching ecosystem should include curriculum platform construction, teaching method reform and teaching evaluation feedback.During the epidemic, relying on the cloud class platform to build a curriculum teaching ecosystem, carry out teaching activities, and quantitatively analyze the impact of various teaching activities on the final grade, and found that homework and tests have a significant role in improving the final grade.
Penerapan Strategi Pembelajaran Reading Guide dengan Media Lembar Kerja Siswa (LKS) untuk Meningkatkan Hasil Belajar Biologi Siswa Kelas VII SMP Tunas Bangsa Makassar

Abstract. This research is a classroom action research which aims to improve the learning outcomes of seventh grade students of SMP Tunas Bangsa Makassar through the use of the Reading Guide Learning Strategy with Student Worksheet Media (LKS). The subjects of this study were the seventh-grade students of SMP Tunas Bangsa Makassar which consisted of 26 students. Data collection techniques include learning activity data obtained through observation sheets and student biology learning outcomes data obtained using student biology learning outcomes tests which are then analyzed using descriptive statistics. The results of observations of student learning activities show that in general there has been an increase from cycle I to cycle II in each observed student learning activity. The results of quantitative descriptive statistical analysis of students' biology learning outcomes showed that the average student learning outcomes in the first cycle was 75,19 and in the second cycle was 79,23 so that the percentage increase in student biology learning outcomes is obtained by 4,04. Keywords: Reading Guide, LKS and Learning Outcomes
Robot Boat Design For Real-Time Monitoring Of River Water Quality

As the population grows in big cities and watersheds, it will significantly impact river waters. One of the settlements located on the banks of the river Winongo is Ngampil village, Ngampil sub-district, Yogyakarta City. According to data from the Yogyakarta City Central Statistics Agency, the population of the Ngampil sub-district increased in 2018 to 18,591 inhabitants, from 2016 with 10,540 inhabitants, the Winongo River is used by the Ngampil residents for fish farming by making cages and also residents who use the Winongo River for activities environmental conservation. One effort to control water pollution is to monitor water quality consistently. The problem in this research is the absence of tools to monitor river water quality. Therefore, it is necessary to design an efficient monitoring tool to read water quality with a ph indicator in real-time using the hovercraft method through the internet of things method. Utilizing this robot boat tool can monitor river water quality using an automatic drive system and display the river water's pH indicator on the website. This research showed river water quality at 6:00 in the morning with a pH value of water 6.81 information Poor / Contaminated by Weight, daytime at 12.00 with a pH value of water 6.77 information Poor / Contaminated by Weight, and afternoon at 18.00 with a water ph value of 6.66 information Poor / Severely polluted.
Security for Multi Cloud Using Server less Registering Approach

These days, in any application development, security for specific area has become crucial job in the service access environment. Since clients needs to utilize the unique services and resources in distributed computing environment. Here the security administrations and cloud portal frameworks have been highly advanced based on the client necessities. However cloud offers a lot of resources through the global service vendors and Multicloud technologies are rapidly in use, but still the cloud requires security enhancement. Applications become complex and have attacks when deployed on multiclouds .So it is very important factor to protect the data and resources from the hackers. In multiple cloud environments it is possible to control all the applications, user resources, secret information and other confidential user process level with the help of server less approach. The server less computing approach is a sort of Distributed computing execution model through which Cloud Service provider will allocate the resource to the client in a dynamic manner .This paper represents what is Multi cloud, advantages of Multicloud, Why Security issue with Multi cloud, How server less is different from monolith services and Security Approaches to multi cloud with server less computing.
Alignment verification to improve NMT translation towards highly inflectional languages with limited resources

The present article studies translation quality when limited training data is available to translate towards morphologically rich languages.The starting point is a neural MT system, used to train translation models with only publicly available parallel data.An initial analysis of the translation output has shown that quality is sub-optimal, mainly due to the insufficient amount of training data.To improve translation, a hybridized solution is proposed, using an ensemble of relatively simple NMT systems trained with different metrics, combined with an open source module designed for low-resource MT that measures the alignment level.A quantitative analysis based on established metrics is complemented by a qualitative analysis of translation results.These show that over multiple test sets, the proposed hybridized method confers improvements over (i) both the best individual NMT and (ii) the ensemble system provided in the Marian-NMT package.Improvements over Marian-NMT are in many cases statistically significant.
Theoretical Approaches to Estimate the Information Security Risks

The risk analysis aims to assess relationships between assets, threats, vulnerabilities and security measures to determine potential losses. However, tools for risk analysis should be thoroughly checked to meet the managerial decisions. This article presents the implications and challenges of using quantitative and qualitative methodologies for assessing information security risks for control. The results show that the quantitative information is expressed more easily understandable by people with marginal training in related areas of information technology.
Spatial Management for Solar and Wind Energy in Kuwait

Kuwait situated at the northwestern part of the Arabian Gulf experiences severe arid environmental conditions. Kuwait is facing many challenges in the sustainable development of the energy sector. These challenges are: deposited dust, increase of carbonate and mud percentages in dust, lower solar radiation, high relative humidity and low wind speed. These challenges that affects more the photovoltaic (PV) power stations were carefully monitored in order to special manage the solar and wind energy in Kuwait. Using 14 weather stations, solar radiation, wind speed and directions were monitored during the period (2010-2017). The annual deposited dust represents one of the highest in the region with 216 t km-2 as an average in 2009-2010 and 339 t km-2 in 2010-2011. Also, carbonates and mud content within deposited dust represent the highest percentages compared to the surrounding regions. The annual power production of wind farms in Kuwait is 2.3 times higher than PV unit with similar capacity. Finally, maps that were produces for all environmental challenges for solar and wind energy in this present paper show that the northwestern regions of Kuwait are the most appropriate areas for setting up a wind and/or a PV power stations.
CONCEPTION OF THE TEXTBOOK SYSTEM AS REGARDS OF TRANSDISCIPLINARY APPROACH IN THE EDUCATIONAL PROCESS

This paper considers principles of implementing a transdisciplinary, holistic approach in the system of textbooks, teaching aids in relation to the Concept for the Development of Natural and Mathematical Education (STEM education); possibilities of using experience of textbooks system of the model of education for sustainable development «Dovkillia» implementation are revealed. The peculiarities of the educational process of forming a scientific picture of the world, its personally significant component — a viable national image of the world of primary, secondary, profile school students, the role of systematic lessons in the environment during the study of all subjects are revealed. From the experience of experimental testing, the introduction of education for sustainable development revealed the role of the basic didactic principle of forming the content of educational areas, system of programs, textbooks that implement them, focusing on the role of cross-cutting patterns in this process. An attempt is made to prove that the problem of implementation in the system of domestic textbooks of the Concept of development of natural and mathematical education (STEM education), transdisciplinary approach to the implementation of the educational process in preschool, primary, basic, specialized school has already begun in the process of implementing the model «Dovkillia».
FEATURES OF EDUCATIONAL AND METHODOLOGICAL SUPPORT OF THE EDUCATIONAL PROCESS IN THE QUARANTINE

The article is devoted to the problem of educational and methodical support of the educational process in the conditions of distance learning and analysis of the peculiarities of distance learning technology. The concepts are analyzed: web environment, web resource, and information and communication technologies of distance learning, web environment management. The issues of didactic and methodical content of web resources are covered. Educational and methodological support of the educational process in quarantine largely depends on the specific features of the application of distance learning technology. They can be systematized as follows: it is a resource needed to adapt learning materials to the web environment and present them on web resources; requires special equipment for full operation; specialized organization of students’ work on this educational technology; taking into account the specifics of development, construction and publication (presentation) of materials in the virtual environment, including psychological features of work in the virtual environment (structuring, working time in the virtual environment, perception, attention, design and color scheme, opportunities and features of independent work, contact features with the teacher, the peculiarities of the interaction of the system «man — machine», etc.). Web-resources of educational and methodical support, which are necessary for providing distance learning, may contain: methodical recommendations on their use; documents of planning of educational process (educational programs, educational-thematic plans, schedules of employment); video and audio recordings of lectures, seminars; multimedia lecture materials; terminological dictionaries; practical tasks; virtual laboratory works; virtual simulators with methodical recommendations; test tasks for control measures, testing with automated verification of results; business games with methodical recommendations on their use; electronic libraries or links to them; bibliographies; a distance course that combines the above web resources of the discipline (program) into a single pedagogical scenario; other educational resources.
Universal quantum computation via quantum controlled classical operations

Abstract A universal set of gates for (classical or quantum) computation is a set of gates that can be used to approximate any other operation. It is well known that a universal set for classical computation augmented with the Hadamard gate results in universal quantum computing. Motivated by the latter, we pose the following question: can one perform universal quantum computation by supplementing a set of classical gates with a quantum control, and a set of quantum gates operating solely on the latter? In this work we provide an affirmative answer to this question by considering a computational model that consists of 2 n target bits together with a set of classical gates controlled by log (2 n + 1) ancillary qubits. We show that this model is equivalent to a quantum computer operating on n qubits. Furthermore, we show that even a primitive computer that is capable of implementing only SWAP gates, can be lifted to universal quantum computing, if aided with an appropriate quantum control of logarithmic size. Our results thus exemplify the information processing power brought forth by the quantum control system.
Web-Based Information and Entertainment Portal Development Using Igniter Code Framework

The purpose of making this web-based information and entertainment portal application is to develop a portal that can be used by the public in obtaining entertainment and information about trends and lifestyle. In addition, this application is also made with the aim of developing information and entertainment portals that can facilitate content contributors so that they can share ideas and participate in the production of content available on this portal. The method used to develop this web-based information and entertainment portal application is the waterfall method using the Code Igniter framework. Evaluation of this application is carried out with two approaches namely questionnaire and comparison with similar applications. The end result of the development of this application is a web-based portal called Cacta Media that provides information and entertainment in the form of articles and videos
INFLUENCE OF WI-FI PERFORMANCE ON STUDENTS' SATISFACTION

Wi-Fi services provided by institutions are critical factors helping students in their learning process, especially during the COVID-19 pandemic. However, studies concerning Wi-Fi performance on students’ satisfaction in Polytechnics Malaysia are limited. Hence, this study aims to investigate the influence of Wi-Fi service quality on students’ satisfaction, particularly in the Politeknik Tuanku Syed Sirajuddin (PTSS) context. Specifically, this study examines the influence of reliability, tangibility, responsiveness, assurance, and empathy on students’ satisfaction towards Wi-Fi performance. Quantitative and single cross-sectional studies were employed. A total of 260 students responded to the survey questionnaires. Multiple regression analysis results revealed that reliability, tangibility, responsiveness, assurance, and empathy influence students’ satisfaction. It shows that improving reliability, tangibility, responsiveness, assurance, and empathy is very important to increase students’ satisfaction. The results also indicated that responsiveness is the primary factor influencing students’ satisfaction. This study is hoped to enlighten the polytechnic management to improve Wi-Fi performance for the students.
Sentiment Detection on Sudanese Political Tweets Using Deep Learning Approach

Sentiment detection of Arabic tweets is interesting research topic and it enables scholars to analyze huge resources of shared opinions in social media websites such as Facebook and tweeter.It is one of the more complex natural language processing tasks due to the informal noisy contents and the rich morphology of Arabic language.Many studies have been investigated for Arabic sentiment analysis.However, most of these works ignore analyzing political Arabic tweets, specifically the Sudanese Arabic dialect.In this paper, a deep learning-based approach is proposed for political Arabic Sentiment Analysis (PASA)of tweets.Our approach employed word embedding with convolutional neural network and long short-term memory network techniques to represent the tweets and extract the feature vectors.After that, the feature vectors are fed to the classifier to detect the sentiments.We conducted a number of experiments using a set of performance evaluation metrics on a political twitter dataset to test the proposed PASA approach.Experimental results showed that the proposed approach outperformed the baseline methods in terms of precision, recall and F-score metrics.
Sentiment Analysis of Amazon Reviews using Machine Learning Approach

The society we live in is being more digitalized.In this digitalized environment, e-commerce is gaining momentum by getting goods closer to consumers without forcing them to leave their homes.Since more consumers are depending on online products these days, the worth of a review is growing.Sentiment analysis is a classification method that uses machine learning algorithms to interpret the sentiment of text-driven datasets, such as whether a message is positive or negative about a given subject.We want to see how these sentiment analysis methods can be found on Amazon.comproduct reviews.In this analysis, various machine learning algorithms are compared, trained, and evaluated on an Amazon product review dataset that was randomly chosen from a Kaggle dataset comprising 4 million reviews.
How Can Playfair Cipher Secure Data?

Cryptography plays an important role in the digital world today. Information can be mathematically secured by the message sender with a key. The intended sender's privacy and recipient's information will be protected from eavesdroppers. The purpose of this paper is to find out how to secure data using a playfair cipher with a 16 X 16 matrix. This algorithm will provide the power to playfair cipher. The encryption and decryption process in cryptography uses keywords that have been agreed upon by the sender and recipient of the message. Entries of this matrix are large and small alphabet letters, numerical characters, and other special characters to construct the contents of the matrix. The characters refer to ASCII from 0 to 255.