Reviewerly/exHarmony huggingface dataset:
Smart Shopping with Smart Cart

Every day, huge numbers of consumers come to shop for numerous goods at mall round the world. lately, shoppers use a handcart or basket when buying the groceries at a mall . additionally, the procurement of products involves a classy process during which the purchasers must bring the items they have to urge to the check-out area, then stand and wait during an extended line so as that the products are often scanned, the whole amount calculated and thus the bill paid. As a results of this problem, this research study presents the event of a sensible cart for smart shopping. A barcode tag is found on every item during a mall , and therefore the smart cart will include a barcode reader on a cart also as cart has its own serial number in order that every cart can identified uniquely and cashier also can keep a track on the item inserted in cart . customer also can scan using his/her mobile devices through application the serial number given on smart cart and track the small print of things added in cart and parallely customer can ask queries also as can give feedback of products and item. While shopping, customers can scan the products then place them within the basket or cart, and therefore the mobile device will record and display the worth and name of every item. Also, the basket will have a weight sensor system which may confirm the accurate pricing of produce during the shopping process. Calculation of the whole cost of the customer's groceries are getting to be performed and stored within the memory of the smart basket's microcontroller. This data are getting to be sent from the basket to the foremost computer's server via a transmitter. Therefore, the proposed smart basket will allow shoppers to avoid waiting in line and having to constantly believe the number of money they go to need to spend.
Development and validation of explainable machine learning prediction model for asthma exacerbations in people who stop asthma biologics

There is a need for predicting the risk of asthma exacerbations after stopping asthma biologics. We identified 3,057 people with asthma who stopped asthma biologics in the Optum Labs Database Warehouse and considered a wide range of demographic and clinical risk factors to predict subsequent outcomes. The primary outcome used to assess success after stopping was having no exacerbations in the 6 months after stopping biologic. Elastic-net logistic regression (GLMnet), random forest (RF), and gradient boosting machine (GBM) models were used with 10-fold cross validation within a development (80%) cohort and validation cohort (20%). Mean age of the cohort was 47.1 (SD 17.1) years, 1,859 (60.8%) were female, 2,261 (74.0%) were white, and 1,475 (48.3%) lived in the Southern region of the US. The GLMnet model yielded an AUC 0.75 (95% CI, 0.71, 0.78) in the development and an AUC 0.72 in the validation cohort; the RF model yielded an AUC of 0.75 (95% CI, 0.68, 0.79) in the development cohort and an AUC of 0.72 in the validation cohort; the GBM model yielded an AUC of 0.76 (95% CI, 0.72, 0.80) in the development cohort and an AUC of 0.74 in the validation cohort. Outcomes after stopping asthma biologics can be predicted with moderate accuracy using a machine learning prediction model.
Amenity Detection using Machine Learning Algorithm

Abstract: For many centuries, statistics have been used as a prediction tool, until recently data science evolved. When hunting for a house, you may want to check out all the amenities the house has, to know if the house is really worth the price mentioned in any real-estate dealer website. To find so, image classification models are widely in use which first categorizes the photos listed on the website into different rooms and then finds the amenities present in the room by object detection algorithm [2]. Through Computer vision, we get a better understanding of the image/video which eases our house hunt. A comparative study between machine learning algorithms used in the state of art model and my proposed model for detecting amenities with a higher precision rate is produced in the upcoming sessions. Keywords: Dataset, Machine Learning
Machine Ethics Aspects in the Internet of Things

The Internet of Things (IoT), despite its dynamic development and setting up in technology, business and human consciousness, still faces many research challenges. These challenges are technical not only related to interoperability, scalability, security and privacy but also related to social, legal and ethical problems. The IoT in large may exclude or even excludes the human-in-the-loop paradigm, where the decision-making is shifted to networked intelligent systems, e.g., intelligent edge systems. Concerns about their verification, validity, security, control and ethical consequences of functioning are expressed. Recently, the notion of Machine Ethics (ME), i.e., adding moral behaviors to machines that use Artificial Intelligence (AI), has been discussed also in the context of the IoT. The paper addresses the ethical performance of intelligent agents interconnected in the IoT network. Issues of ME from the IoT perspective are revised and recent undertakings of multidisciplinary bodies to counter ethical threats in AI and IoT are recalled. The paper also fosters pushing the discourse and reflection on ME issues (availability, reliability and trade-offs) to the wider group of IoT engineers and students.
Designing Travel Aggregator Application Using the Integration of Fuzzy Electronic Service Quality and Fuzzy Refined Kano

The rapid development of transportation business makes travel aggregator application needed by the community. One diversified multinational company in Indonesia has developed a travel aggregator application to make customers easier to choose travel according to their needs. However, application design does not meet the standards proven by a preliminary survey. Therefore, it is necessary to explore the user's needs for travel aggregator application. This research aims to identify True Customer Needs by using the integration of Fuzzy Electronic Service Quality and Fuzzy Refined Kano in order to improve accuracy of data. To ensure the quality of the application before it is released, there are 8 key dimensions of quality that used namely payment method, application design, ease of use, responsiveness, security &amp; privacy, information quality, portability, and maintainability. Fuzzy Electronic Service Quality is used to measure the level of satisfaction using the Fuzzy questionnaire. Fuzzy Refined Kano is used to obtain categories namely attractive (A), must-be (M), one-dimensional (O), indifferent (I), reverse (R) and questionable (Q) on each attribute need with Fuzzy processing. Based on the integration, there are 22 attributes need with 14 strong attributes need that need to be improved. The improved attributes need is called True Customer Needs.
Analysis and comparison of a proposed mutation operator and its effects on the performance of genetic algorithm

Genetic algorithms (GAs) are dependent on various operators and parameters. The most common evolutionary operators are parent selection, crossover, and mutation. Each operator has broad implementations with its pros and cons. A successful GA is highly dependent on genetic diversity which is the main driving force that steers a GA towards an optimal solution. Mutation operator implements the idea of exploration to search for uncharted areas and introduces diversity in a population. Thus, increasing the probability of GA to converge to a globally optimum solution. In this paper, a new variant of mutation operator is proposed, and its functions are studied and compared with the existing operators. The proposed mutation operator as well as others such as m-mutation, shuffle, swap, and inverse are tested for their ability to introduce diversity in population and hence, their effects on the performance of GA. All these operators are applied to Max one problem. The results concluded that the proposed variant is far more superior to the existing operators in terms of introducing diversity and hence early convergence to an optimum solution.
Deep Learning and the Game of Checkers

In this paper we present an approach which given only a set of rules is able to learn to play the game of Checkers. We utilize neural networks and reinforced learning combined with Monte Carlo Tree Search and alpha-beta pruning. Any human influence or knowledge is removed by generating needed data, for training neural network, using self-play. After a certain number of finished games, we initialize the training and transfer better neural network version to next iteration. We compare different obtained versions of neural networks and their progress in playing the game of Checkers. Every new version of neural network represented a better player.
Pengaruh Penggunaan Media Komik Terhadap Hasil Belajar Peserta Didik Kelas III Tema I Subtema I Di Mi The Noor

The teaching and learning process carried out by teachers at MI The Noor school, especially in the use of learning media is still very lacking, this is evidenced by the learning outcomes of students who are still much below the KKM, besides that when the teaching and learning process is carried out, students are less enthusiastic in participating in lessons, This is very influential on the understanding of students, resulting in less achievement of the desired learning. Therefore, in the learning process, one must be able to choose the right media, comic media is very suitable for use in learning, because comics media can arouse the enthusiasm of students in the learning process, and also the material delivered with comic media is very clear and simple so that it will affect the learning process. student learning outcomes. This study aims to determine the effect of using comics media on the learning outcomes of third-grade students, Theme I, Sub-theme I. The research design is One Group Pretest Posttest. The study population consisted of 88 students in classes I, II, III, IV, V, VI and 16 students in class III as samples. The results of data analysis using the Paired sample t-test test obtained the value of Sig. (2-tailed) of 0.000, which means that the test results obtained a value smaller than 0.05, so it can be concluded that there is an influence in the use of comic media on student learning outcomes.
THE FORMATION OF DRAMATURGIC SPEECH MEANING

Specific ways of forming the meaning of a dramaturgic phrase lie in its basic characteristics, its ontology. There are three stages of the formation of its meaning. The first stage is the text of the play, which in many ways determines the semantic basis of the future performance as a whole and of each single phrase in particular. The second stage is the work of a Director who, based on the text of the play, forms the overall aesthetic concept of the future performance and about the performance as a multicode entity, defines the principles of work for the specialists in such semiotic systems, as the material/object world of the stage, scenery, light, color, music, noise. The Director forms the concept of the chronotope of the virtual world of the performance and the general concept of each character for the performer. The third stage is the work of the actor, who is the key instance in shaping the meaning of the play as a whole and each of its phrases separately. The key communicative role of an actor is not described in the traditional multicode understanding, but in the aspect of space-and-time correlation of the virtual world of the performance presented on the stage, and and the social space-and-time space of the viewer. The viewer identifies himself with a particular character and simultaneously exists in two worlds: a virtual world of the play and the world of his own life. One can get acquainted with the performance in different ways, but one can watch the performance only where and when it takes place. In the system of the chronotope categories and in the system of social space the semantics of the same verb is described differently. The mandatory connection of the performance with the exact coordinates of the social space-time inevitably adds a socio-political aspect; it makes the play part of people’s life, making the theater one of the main components of the communicative environment of society, and functionally bringing it closer to traditional media.
Edukasi Protokol Kesehatan dalam Menjalankan New Normal di Sekolah Melalui Pendidikan Literasi Mitigasi Bencana Covid-19

This study aims to see the effectiveness of COVID-19 disaster mitigation literacy education on students' knowledge about the spread of the COVID-19 virus, the use of masks, washing hands and maintaining a distance known as health protocols. This study also revealed the response of students to literacy education for the COVID-19 disaster in schools. The research was carried out in class X MIPA 1 SMAN 2 Mataram with Define, Design, Develop, and Desseminate (4D) designs. The results of the study found that literacy education for COVID-19 disaster mitigation was effective in increasing students' knowledge about the spread of the COVID-19 virus and the application of health protocols in schools in the normal era of life. Students also gave a positive response to the COVID-19 disaster mitigation literacy education in schools.
FOR THE SCIENTIFIC MODERNISM OR THE SIMPLE SEMSE FOR "DISCOVERY"

The article is devoted to the influence of the modern information environment on the motivation of the young scientists. It is argued that the oversaturated information ecosystem creates a negative potential on the creativity of beginners in science, creates a sense of predestined expectation that each of their ideas is already "available" on the web, assuming that only restoring the practice of scientific schools will make it possible to overcome this negative trend.
Data Encryption to Decryption by using Laplace Transform

In this paper, we introduce an encryption and decryption procedure with high security by mathematical model, using Laplace transformation and Inverse Laplace Transformation for the given transforming data from one end to other end. We also give an example. Here we convert plain text to ASCII code. We take two primes as a primary key for encryption and decrypt in of the original data.
Statistical Learning for Big Dependent Data

Journal of the Royal Statistical Society: Series A (Statistics in Society)Early View BOOK REVIEW Statistical learning for big dependent data , Peña, D. and Tsay, R.S., 2021, Hobokonen, NJ : Wiley, xx + 534 pp., £106. ISBN 978-1-1194-1738-5 María Dolores Ugarte, María Dolores Ugarte lola@unavarra.es Public University of Navarre, Pamplona, SpainSearch for more papers by this author María Dolores Ugarte, María Dolores Ugarte lola@unavarra.es Public University of Navarre, Pamplona, SpainSearch for more papers by this author First published: 03 February 2022 https://doi.org/10.1111/rssa.12819Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Early ViewOnline Version of Record before inclusion in an issue RelatedInformation
The Future of Problem Solving: The Coherent Ising Machine Approach

Several new computing models tackle combinatorial optimization problems.These include adiabatic quantum computation, also known as quantum annealing, and the coherent Ising machine (CIM).The Physics and Informatics
Augmented RealityAugmented Reality

Augmented Reality (AR), which blends virtual information with the real environment in real-time performance, is constantly evolving and becoming more sophisticated and robust. It is critical to ensure that the augmented reality system is accepted and successful. This paper primarily discusses the current state of AR applications and the various fields in which AR is being used.
INDIAN EDUCATION NOW AND NEXT: SWITCHING FROM TAUGHT TO THOUGHT CONCEPT

Indian Education towards the 21st century, outlined in the National Curriculum Framework and the National Policy reflects the curriculum, matter, method, contents, and aims of ancient Indian system. Emphasis on the thoughts created by the pupils against the thoughts taught by the teachers is the hallmark of the emerging education, which, in fact, is an echo of the Gurukula system of education followed in the Vedic period of India. The demand and the need for education in the 21st century still remain the same as it was in ancient and medieval times. The difference is that the ancient tools and instruments are replaced by the modern electronic gadgets, with the industrial sector increasing day by day. However, the human potential that drive the technology remains unchanged. As in the past, so in the modern education, the students are not just involved in coveting the ranks, but their main focus is on knowledge and enhancement of skills. Social aim of education guides the personal aim; education aims not merely to make creative human being, but to make socially useful creative individuals. The emerging education in India is the combination of ancient wisdom and modern science and technology. The ancient system was specifically focused on the training of the mind to ensure peace and progress. The modern method of education emphasizing construction of knowledge do focus on the thought rather than the taught, towards the same aim- peace and progress. Ultimately, the new Education policy of India offers a hope that learning becomes interesting and divergent, with the idea that learning should be child-centric, holistic, integrated, enjoyable and engaging. Schools are slowly breaking the straitjackets of arts, commerce and science streams in high school, and aiming to introduce vocational courses with internships, as it was almost two thousand years ago. Therefore, with the rise of modern education, the ancient Indian education system is on a revival to add force to mobilize the entire population to take the nation to a realm of wholistic progress.
Struktur Peramalan System Multi-Model untuk pemodelan matematika pada Forecast Indeks Pembangunan Manusia Provinsi Bali

The purpose of this research is to develop a product was called Forecasting System Multi-Model (FSM) to determine the best method in the forecasting system by constructing several methods in the form of Graphical User Interface (GUI) Matlab. It was done by all indicator accuration to find the best mathematical model of time series data in a certain period. In the simulation phase, this research used the Human Development Index (HDI) data of Bali Province in 2010 - 2017 to predict the HDI data of Bali in 2018. The methods tested were Moving Average (SMA, WMA and EMA), Exponential Smoothing Method (SES, Brown, Holt, and Winter), Naive Method, Interpolation Method (Newton Gregory), and Artificial Neural Network (Back Propagation). Then the models/methods were evaluated to see the level of accuracy of each method based on the value of MAD, MSE, and MAPE. Based on data simulation result from 10 tested method known that Holt method is most accurate with prediction result of 2018 equal to 67,45 with MAD, MSE, and MAPE respectively equal to 0.22654, 0.075955 and 0.34829.
Ethical and Axiological Problems of Involving the Public in a Social and Humanitarian Assessment of the Risks and Consequences of Modern Science

This article focuses on the urgent philosophical and methodological issue of organizing effective social control over the development and implementation of modern technoscience. The relevance of the topic is caused by the fundamental transformation of science associated with the strengthening of its production and its technological and socio-administrative functions to the detriment of its humanistic components. The intensive expansion of technoscience into all spheres of human existence inevitably increases its risky nature, which necessitates a transdisciplinary understanding and orientation towards traditional human values: truth and good. An effective mechanism of social reflection on the achievements of technoscience is a socio-humanitarian examination, which attracts not only the elite scientific community but also social institutions, public organizations, and many volunteers — non-professional examiners who realize the ability of creative self-organization and insights in order to improve its adequacy. Various world practices of involving the public in the discussion of the ethical acceptability of research in modern technoscience were studied. Ethical and axiological problems associated with the participation of society in the development and humanization of modern science were thereby identified.&#x0D; Keywords: philosophy of science and technology, modern science and society, socio-humanitarian examination
A Literature Review on Consortium Blockchain Consistency to Improve Traceability in Food Supply Chain System

Blockchain is an evolving technology that is influencing food traceability improvements and has the potential to enhance supply chain transparency and efficiency. Incorporating this technology in the supply chain saves paperwork and expenses while also improving regulatory compliance and preventing counterfeiting. Consortium blockchain is a permissioned platform where transactions or information to be sent are governed by several organizations rather than a single one. It's safer, scalable and more efficient. This survey presents the results of a thorough examination of methodologies implemented by authors of several works on the advantages of blockchain in food supply chain, which include improved food traceability, increased collaboration, improved operational efficiencies, and simplified food trading processes.
A TRANSITIVITY ANALYSIS ON THE THIRD SEMESTER ENGLISH EDUCATION DEPARTMENT STUDENTS’ DESCRIPTIVE WRITING

This research analyzes the transitivity process by analyzing the third semester English Education Department students’ descriptive writing at Lakidende Unaaha University. The objectives of the research are to find out the students’ using of the transitivity process and to find out the most dominant of transitivity process in the descriptive writing. The subject of the research was nine students. The research applied descriptive qualitative method. The data was analyzed by Halliday’s theory. In the research, it was found 153 clauses in the six transitivity processes. Material process got 25 times or 16.34 %, mental process obtained 25 times or 16.34 %, relational process was 91 times or 59.48%, behavioral process occurred 8 times or 5.22%, verbal process obtained 1 time or 0.65%, and existential process was 3 times or 1.97%. from the result of analyzing of the transitivity process of the third semester English Education Department students’ descriptive writing at Lakidende Unaaha University, it can be conclude that, students uses six transitivity processes in writing descriptive text. The most dominat is relational process and the lowest is verbal process.