Reviewerly/exHarmony huggingface dataset:
Sentiments Analysis of Amazon Reviews Dataset By using Machine Learning

Abstract: Any opinion of a person that can convey emotions, attitudes, or opinions is known as a sentiment. The data analyzes that are collected from media reports, consumer ratings, social network posts, or microblogging sites are classified as opinion mining research. Analysis of sentiment should be viewed as a way of evaluating people for particular incidents, labels, goods, or businesses. The amount of views exchanged by people in micro-logging sites often increases, which makes nostalgic interpretations more and more common today. All sentiments may be categorized as optimistic, negative, or neutral under three groups. The characteristics are derived from the document term matrix using a bi-gram modeling technique. The sentiments are categorized among positive and negative sentiments. In this analysis, the Python language is used to apply the classification algo for the data obtained. The detailed accomplishment of LinSVC demonstrates greater precision than other algos.
A Conceptualization of Industrial Internet of Things towards Manufacturing Safety Performance

This paper conceptualizes the relationship between Industrial Internet of Things (IIoT) and manufacturing safety performance. Through a review on systematic literature review (SLR) articles from Emerald database from year 2018 and white papers, this paper proposes a conceptual framework on IIoT for manufacturing safety performance. Usage of sensors and wearables, virtual or augmented reality and AI and industrial automation are hypothesized to be contributing towards the safety improvement in the manufacturing industry. Manufacturing firms that adopt IIoT can minimize human interaction with equipment and thereby improve the overall safety of its employees and reduce workplace injuries. As the topic on the usage of IoT or IIoT in the context of safety is scarce in current academic literature, this conceptualization of the relationship between these variables are expected to pave way for more empirical research and literature enrichment.
The Role of Medical Records Management in Activating Knowledge Management Applications in Saudi Arabia Hospitals

There are many justifications that prompted the researcher to choose the subject of the study, namely: The developments witnessed by the health sector worldwide and the Kingdom of Saudi Arabia in particular; the importance and necessity of exchanging knowledge between the various bodies and institutions in the Kingdom of Saudi Arabia to achieve the goals of Vision 2030 programs; the need to build an electronic health system that contributes to the development of scientific research in the health sector in the Kingdom of Saudi Arabia. Therefore, the aim of this article aims to identify the role of medical records management in activating knowledge management applications in private hospitals in the Kingdom of Saudi Arabia. To achieve this general goal, the researcher seeks to achieve the following sub- goals: Identifying the most prominent medical records management practices in private hospitals in the Kingdom of Saudi Arabia; Identifying the requirements for the success of medical records management in activating knowledge management applications in private hospitals in the Kingdom of Saudi Arabia; Exposing the impact of medical records management in private hospitals in the Kingdom of Saudi Arabia; Exposing the obstacles that hinder the management of medical records in private hospitals in the Kingdom of Saudi Arabia from the application of knowledge management; Identify the basic elements of the model that supports the contribution of the medical records management in the field and Supporting as well as activating knowledge management applications in private hospitals in the Kingdom of Saudi Arabia.
(Re)Framing Our Frames: Architectonics, Intertextuality, and the Scholarship of Integration in Online Education

The pandemic of 2020 has renewed interest in technology as an integrative agent in higher education. However, advancements in technology continue to outpace the scholarship of integration in SoTL, even though Ernest Boyer valued it as a continuous area of study. This article calls for a reconsideration of Boyer’s appreciation of integration as convergence or intertextuality. Intertextuality and its digital correlate, hypertextuality, operationalize online education. Yet, they are often ignored as models of convergence. This relational paradox signals a need for a discourse and framework that help us to conceptualize the inherently integrative nature of knowledge and online education. To address this deficit, this literature review introduces Peircean architectonics as the paradigm that reframes our understanding of convergence and illuminates its actualization in Terry Anderson’s prototype for online education. Architectonic logic enriches this model and provides us with a philosophy of convergence that revalues and advances the scholarship of integration.
Interferometric measurement of the quadrature coherence scale using two replicas of a quantum optical state

Assessing whether a quantum state $\stackrel{\ifmmode \hat{}\else \^{}\fi{}}{\ensuremath{\rho}}$ is nonclassical (i.e., incompatible with a mixture of coherent states) is a ubiquitous question in quantum optics, yet a nontrivial experimental task because many nonclassicality witnesses are nonlinear in $\stackrel{\ifmmode \hat{}\else \^{}\fi{}}{\ensuremath{\rho}}$. In particular, if we want to witness or measure the nonclassicality of a state by evaluating its quadrature coherence scale, this a priori requires full state tomography. Here, we provide an experimental procedure for directly accessing this quantity with a simple linear interferometer involving two replicas (independent and identical copies) of the state $\stackrel{\ifmmode \hat{}\else \^{}\fi{}}{\ensuremath{\rho}}$ supplemented with photon-number-resolving measurements. This finding, which we interpret as an extension of the Hong-Ou-Mandel effect, illustrates the wide applicability of the multicopy interferometric technique in order to circumvent state tomography in quantum optics.
EVALUATION OF FACE DETECTORS FOR FACE RECOGNITION

Artificial intelligence technologies are now advancing swiftly and providing us with a variety of opportunities. The completion of analysis, predicting, and acknowledgment. In recent years, the field of computer vision has become one of highly exciting research. In this paper, we have compared three famous face detectors model, used for face recognition; Dlib, MTCNN, and FaceNet. We have conducted serious of experiments to compare the detection speed and accuracy for above mentioned detectors. FaceNet is the fastest among others without loss in recognition accuracy on commodity hardware.
PREDICTION OF AMBIENT CONDITION FOR HIGH EFFICIENCY OF SOLAR PANEL USING FUZZY LOGIC CONTROLLER

The rise in energy crisis required clean and suitable energy resources with higher efficiency. Due to large availability of the solar light, energy generation from solar energy is considered as one of the most suitable energy generation method. However, certain environmental factors affect the efficiency of the solar energy generation from solar panel using photo-voltaic effect. In this work, a parametric estimation is carried out using a fuzzy rule-based system to study the impact of various environmental factors including temperature, humidity and wind velocity on the output solar PV efficiency. All the factors equally impact the efficiency of the solar panel resulting in affecting the efficiency of the solar panel. The simulated and calculated results are compared which shows error less than 1%, which shows the accuracy of the soft computing technique (fuzzy rule based system).
Aplicación de las TIC’s en el desarrollo de actividades en la Competencia de Manejo de la Salud y Bienestar Animal I de la Licenciatura de Medicina Veterinaria

The educational process has experienced impact in its face-to-face modality with the creation of new virtual scenarios supported by technologiesand the way of conducting activities has changed. To adapt to current needs, educational institutions must become more flexible and developways to integrate information and communication technologies (ITs) in training processes, knowledge acquisition and skill development in thefield of education. Within the tools is any device that has internet and at the same time provides information available anywhere and at any time,facilitating communication. The applications must guarantee the quality of the teaching practices carried out by the teacher. The objective of thestudy was to know the use of ITs in the application of activities and the development of skills in students of the Animal Health and WelfareManagement Competition I of Veterinary Medicine. The data obtained show that 100% of the students use technological tools with the Internetto carry out their online activities, homework, practices and integrating projects. However, there are times when they cannot enter due to lack ofinternet connection. 2% mention that not having the internet makes learning difficult. The use of ITs and their application helped thedevelopment of skills, performance and increased self-learning in students enrolled in the subject. The use of technology guarantees interactivework between work teams and at the same time as a means of communication. The platforms also use learning tools as a means of support and arepository of activities. There are disadvantages such as not having enough time, not having internet or data, so teachers must be flexible andprovide help, solve problems and look for alternatives that do not interfere with academic performance.
Busy book as a means to build multiliteracies for children at TBM Smart Friends

Since 2021, Trembes village has had a Smart Friends TBM (Community Reading Park) to increase village literacy. However, this TBM has fewer varied activities and programs, and the number of visitors is still low. To solve these issues, the PkM team implemented a community service program that used busy books to assist children in improving their multiliteracy competencies in the fields of economic, English, mathematics, Pancasila, and citizenship literacy. Various methods are developed, including lectures, volunteerism, questions and answers about interesting and popular themes, and demonstrations. As a result of this program, children were able to create and present busy book sheets with the themes of economic, English, mathematics, Pancasila literacy, and citizenship literacy.
Pemetaan Praktek Dokter Umum dan Bidan di Kota Selong Berbasis SIG (Sistem Informasi Geografis)

Selong City is one of the areas of the East Lombok district which has many health facilities. Apart from the hospital, one of the existing health facilities is the practice of general practitioners and midwives. The problem with this research is that there is very little information on the location of general practitioners and midwife practices in Selong City, for this reason, an appropriate system is needed to determine the location of general practitioners and midwife practices. This study aims to map the locations of GIS-based practice of general practitioners and midwives to facilitate the community's need in knowing the locations of general practitioners and midwife practice quickly and precisely. The application is made web-based using the Google Maps API. The application that has been made can provide a solution in conveying information quickly, precisely, and accurately, regarding the whereabouts of general practitioners' and midwives' practice locations in the city of Selong. This is because the public can access online the whereabouts of General Practitioners and Midwives' practices anytime and anywhere
Sistem Pendukung Keputusan Seleksi Beasiswa Menggunakan Metode Topsis Berbasis WEB (Studi Kasus Beasiswa Bank Indonesia)

Basically, the decision support system is a computer-based system that helps in the decision-making process. A Decision Support System is a computer system that processes data into information to make decisions from specific semi-structured problems that were specifically developed to support solutions to unstructured management problems to improve the quality of decision-making. This support system helps in the decision-making process in selecting the internal administration of Bank Indonesia scholarships at Hamzanwadi University. In this decision support system, criteria are needed to determine who will be selected to receive the scholarship. In this study, the author uses the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method as a decision-making method. The TOPSIS method was chosen because it is used to find alternatives with certain criteria. The method used in the preparation and design of the application to be built is to use the Software Development Life Cycle (SDLC) method with a design using the Unified Modeling Language (UML) with object-oriented programming concepts. The system that has been made is said to be suitable for use because the results of the recommendations are in accordance with user expectations and the scholarship selection process becomes more effective and efficient.
Localization and Classification of Venusian Volcanoes Using Image Detection Algorithms

Imaging is one of the main tools of modern astronomy—many images are collected each day, and they must be processed. Processing such a large amount of images can be complex, time-consuming, and may require advanced tools. One of the techniques that may be employed is artificial intelligence (AI)-based image detection and classification. In this paper, the research is focused on developing such a system for the problem of the Magellan dataset, which contains 134 satellite images of Venus’s surface with individual volcanoes marked with circular labels. Volcanoes are classified into four classes depending on their features. In this paper, the authors apply the You-Only-Look-Once (YOLO) algorithm, which is based on a convolutional neural network (CNN). To apply this technique, the original labels are first converted into a suitable YOLO format. Then, due to the relatively small number of images in the dataset, deterministic augmentation techniques are applied. Hyperparameters of the YOLO network are tuned to achieve the best results, which are evaluated as mean average precision (mAP@0.5) for localization accuracy and F1 score for classification accuracy. The experimental results using cross-vallidation indicate that the proposed method achieved 0.835 mAP@0.5 and 0.826 F1 scores, respectively.
The Diagnosis of the Dimensions of Psychological Capital

This present research aims at identifying the dimensions of the psychological capital of the employees of the directorate of Education in Nineveh expressed by its dimensions:(self-efficiency, hope, optimism and flexibility). The questionnaire forms were adopted as the main tool to collect the data and the statistical software SPSS V26 and AMOS software were used to analyze the data of (202) subjects as employees in who occupy managerial level positions through several descriptive and analytical approaches. From the results of the statistical analysis, a set of conclusions were drawn, which showed the results of the field research via diagnosing the availability of the psychological capital dimensions in the field researched and this indicates that the Directorate of Education in Nineveh pay a good attention to building a psychological capital, which is represented by its dimensions that lead to the progress and advance of the individuals. Moreover, the research submitted a group of recommendations including the necessity to pay a considerable attention to the psychological capital as it is a very vital topic and as it has an important effect on the psychology of the individual who works in an organization and which can provide good benefits and a competitive advantage.
Visualization and Prediction of the Company’s Revenue Using Machine Learning and Data Analysis

Abstract: Revenue decides the future of the company and the growth in upcoming years so it is vital for companies to know about it so that any changes in time can be made to make the business profitable. Most business organization largely depends on their sales, demand, and sales trend for their growth. This paper analyzes and predicts company sales and demands using machine learning and data analysis. The dataset Ocean Cafe available on Kaggle has been used for analysis and prediction purposes. The model used for prediction is XGBoost in which R-square, MAE(Mean Absolute Error), MSE(Mean Squared Error), and RMSE(Root Mean Squared Error) are calculated. For visualization purposes, various pie-chart, line graphs, and bar graphs are drawn making use of the python libraries and functions.
Voting System Using Blockchain Technology

Abstract: Electronic voting, or e-voting, has been used in various forms since the 1970s. B. Increase efficiency and reduce errors. However, wide adoption of such systems remains a challenge, especially in terms of improving resilience to potential failures. Blockchain is a disruptive technology of our time and promises to improve the overall resilience of electronic voting systems. The democratic system is fundamentally based on the right to vote that Allow individuals within the community to express their opinions. While voter turnout has declined in recent years, concerns about the integrity, security, and accessibility of the current voting system have increased. Electronic voting was introduced to address these concerns. However, it is not cost-effective and requires full oversight by a central authority. Blockchain is an emerging decentralized and decentralized technology that promises to improve many aspects of many industries. Extending e-voting to blockchain technology could be a solution to alleviating current concerns about e-voting. In this paper, I proposed a voting system that leverages the Ethereum blockchain and smart contracts to achieve voter management and verifiable voting records.
Satisfaction regarding solar rooftop panels among household users in Gurugram, Haryana

For the expansion of a new technology on a massive scale like solar energy in general and solar rooftop panels in particular, satisfaction level of the current users needs to be known.So that the unsatisfactory variables can be worked upon before infusing more resources and time into it.Such timely checks ensure a fast paced and buoyant holistic development.With the satisfaction of the end users only the extraordinarily high targets set by the government can be achieved.This paper deals with the satisfaction level regarding solar rooftop panels in this regard for the city of Gurugram.The city is part of the NCR-Delhi and is hub of Multi-National Corporations in north India.With increasing employment opportunities comes the increasing demand of residence.This inevitably escalates the demand of power.This power supply can be supported by and relied upon by installing solar rooftop panels.The households where these are in place have been surveyed and the satisfaction level has been tried to found out on the basis of economic, technical and environmental factor.The performance of the solar panels have been found to be satisfactory in the concerned study area.
The Reader and Reading Culture from the Perspective of Student Teachers

This study aimed at discovering the characteristics of non/traditional readers that can be used to formulate a typology and identify students’ attitudes towards reading for pleasure. It also deals with the social context influencing students’ reading culture. The questionnaire survey was conducted on 381 students at the Faculty of Education, University of Ostrava. The results showed that students who read for more than one hour a day prefer to read books in paper form, including textbooks, over reading electronic books, multimedia texts or playing on computers and consider themselves traditional readers. Non-traditional readers use critical thinking methods to understand texts and prefer a multimedia format for texts when reading for pleasure over playing computer games, reading e-books, and reading paper-based books. The study also points to the growing importance of the evolving multimedia reading culture in the era of the 4.0 Industrial Revolution.
Lepton: An automaton for Literate Executable Papers

written at the same time, inside the same file, and in a format designed for human understanding.
An Innovative and Secure Platform for Leveraging the Blockchain Approach for Online Exams

Numerous educational establishments now use the online platform to conduct tests, particularly for students at the secondary and tertiary levels. Candidates are given a username and password by the most popular online test program, and they then log in to the designated page to answer the questions. However, there are numerous flaws in this system, and cheating on the test can be done by misusing the password. This demonstrates the significance of implementing a secure system to avoid this issue. A blockchain framework that safeguards the online examination system is presented in this paper. An educational data-connecting data management system has been secured using the proposed framework. Without the need for a copy from the central servers, institutions can simply compile their data history. Data security is improved and any potential for cheating between users or third-party institutions that access applications and services is eliminated by the proposed blockchain framework. This study provides a secure framework for conducting and evaluating subject tests to guarantee consistency between students and servers and secure questionnaire delivery from servers.
Whatsapp for Mathematics Education Students’ Activeness in Learning English for Mathematics: A Case Study

During the implementation of online learning in the new normal era, lecturers conducted the teaching and learning process by utilizing recent technology that could maximize the quality of the teaching and learning process. WhatsApp is one of the tools that is used as a teaching and learning medium in this new normal era. This is a case study that is aimed to explain whether the use of the WhatsApp application gave some effects on Mathematics Education students’ activeness in learning English for Mathematics. The participants of this research were the 4th semester Mathematics Education students’ who were studying English for Mathematics. The data from this study were obtained from observation and Focus Group Discussion. The findings revealed that the use of WhatsApp as an online learning medium affects students’ activeness in learning English for Mathematics in terms of speaking practice, students’ involvement, and students’ confidence.