Reviewerly/exHarmony huggingface dataset:
Edge Enhancement and Detection Approach on Cervical Cytology Images

Cervical cancer is a prevalent and fatal disease that affects women all over the world. This affects roughly 0.5 million women annually and kills over 0.3 million people. Recently, a significant amount of literature has emerged around the advancement of technologies for identifying cervical cancer cells in women. Previously, diagnosing cervical cancer was done manually, which could lead to false positives or negatives. The best way of interpreting Pap smear images and automatically diagnose cervical cancer are still up for debate among the researchers. Method used in this study is the contrast enhancement technique for pre-processing and edge detection-based for segmentation of the nucleus. In this study, the average performance results of the method showed an accuracy of 96.99% in the seven-class problem using Herlev dataset. The present finding also support this study which concluded the results of accuracy achieved for the algorithm used for nucleus detection is improved by 6.15% when comparing to previous work. The accuracy value is in the lines of earlier literature that achieved accuracy of the approach used above 90% for seven class of cells. The major feature of the suggested approach is an improvement in the ability to anticipate which cells are aberrant and which are normal. Adding more classifiers could improve the suggested system even further. Therefore, a cervical cancer screening system might utilize this framework to identify women who have precancerous lesions.
Applications of Blockchain Technology to Emerging Educational Scenario: International Context and Indian Potentialities

Blockchain technology is one of the important and emerging technologies within the information technology field. Blockchain is useful in the process of keeping records related to the business and transaction in a business network. The role and importance of blockchain technology is increasing in the financial and business world day by day. Initially blockchain nomenclature was popular, but in the recent past it is becoming a technology and is called blockchain technology. The blockchain works for the registered members in having permission. It offers immediate, shared, and completely transparent information. The changing scenario of blockchain is also noticeable i.e. the emerging applications in tracking orders, payments, accounts, and production. All the transaction details are visible to the end users time to time. The continuous need and requirement of the blockchain technology in the field of financial sectors including in different areas led to the need of skilled and learned resource persons. This chapter discusses the blockchain technology, including its emergence, basic applications, features, and functions. This chapter is especially focused on manpower, human resources, and academic degree availability on these emerging aspects. This paper also suggests the potential program in Indian context with issues and challenges.
Target Detection for Mine Remote Sensing Using Deep Learning

First, the research status about target detection (i.e., traditional methods, deep learning algorithms based on anchor and anchor-free methods) was introduced. Then the used detection algorithms including Faster R-CNN, Cascade RPN, RetinaNet, and Side-aware boundary localization were presented. Subsequently, accuracy assessment with some metrics and visual presentation were conducted. The AP, Recall, and F1-score values for those four models were 56.00%, 47.60%, and 51.46%, 54.10%, 53.00%, and 53.54%, 59.80%, 58.40%, and 59.09%, and 60.20%, 60.80%, and 60.50%. Results showed that the accuracies of the algorithms were good, and there were some missed and false detections.
Methodological foundations for the formation of supraprofessional qualities of vocational graduates in the context of dual education

The purpose of the study is to identify the methodological foundations for the formation of supraprofessional qualities of vocational graduates in the context of dual education. The scientific novelty lies in the substantiation of the idea of the influence of dual education on increasing the effectiveness of the formation of students' supraprofessional qualities and identifying the methodological provisions underlying this idea. As a result, supra-professional requirements were identified that are imposed by the professional community on potential employees and lie above the requirements of the Federal State Educational Standards; the implementation of the system-activity approach is substantiated, taking into account the relevant principles as methodological foundations for the development of a system for the formation of students' supra-professional qualities; the organizational and educational aspects of the formation of supraprofessional qualities of students in the conditions of dual education are considered.
Comparative analysis of educational programs implemented using exclusively e-learning, distance learning technologies and traditional educational programs

The purpose of this study is to conduct a comparative analysis of educational programs implemented using exclusively e-learning, distance learning technologies and traditional educational programs. Scientific novelty lies in the determination of objective comparative characteristics of online-programs and traditional educational programs. Common erroneous stereotypes regarding higher education received online are considered. As a result, the objective advantages and disadvantages of educational programs implemented using exclusively e-learning, distance learning technologies and traditional educational programs are clarified.
Theoretical foundations of the process of formation of socio-political competence of future teachers

In the conditions of political pressure on the independence and sovereignty of the Russian Federation, the problem of the formation of socio-political competence is relevant, especially in the educational environment and among future teachers. Within the framework of this publication, the purpose of the study is to determine the conceptual foundations for the formation of socio-political competence among students of pedagogical specialties. The scientific novelty lies in the attempt made by the authors to answer the research question posed in the article, which is related to the substantiation of the conceptual foundations for the formation of socio-political competence among students of pedagogical specialties. The assessment of the reliability of the presented results is based on an integrative approach, on the methods of analysis and synthesis of scientific literature. A comparative analysis of foreign experience in the formation of socio-political competence of students shows that the problem under study has not been sufficiently developed. According to the results of the study, the components of the socio-political competence of students of pedagogical specialties are substantiated, and the existing foreign concepts of the formation of socio-political competence are analyzed. An analysis of domestic and foreign studies made it possible to establish that most of the scientific provisions put forward in the concept, characterizing the features of the formation of socio-political competence, are confirmed in other studies and do not contradict them.
Research of the needs of modern university students in the organization of e-learning

The purpose of the study is to study and analyze the main problems of the organization of e-learning at the university, taking into account the needs of modern students. Scientific novelty lies in the justification of changes in the educational system taking into account the needs of modern students-future teachers of additional education. As a result the main problems of higher education institutions in the organization of e-learning are identified, the needs of modern students-future teachers of supplementary education are studied, methodological recommendations on the organization of e-learning are given.
Distance learning technologies in the system of professional training of employees of the Ministry of Internal Affairs of Russia

The purpose of the study is to find the best ways to improve the professional training of Russian police officers who study under additional professional training programs (advanced training) in educational institutions of the Russian Ministry of Internal Affairs in the context of distance learning. Scientific novelty lies in the fact that the use of distance learning in the professional training of police officers will allow the introduction of the latest information technologies into the teaching methodology, which will contribute to improving the effectiveness of professional training. As a result, it was revealed that the use and use of distance learning will reduce the cost of organizing it for both students and teaching staff; organize a significant number of trainees; improve the quality and effectiveness of the educational process through the use of digital educational resources; create a unified educational environment in the system.
Design Options and Learning Analytic Pathways in Doing Agile Scrum Team Work in Education

We extend a standard for doing agile scrum teamwork in education that permits individual assessment within teams (IAFOR ECE2020). Since the teacher's bandwidth in education is limited and increasingly under pressure, we focus on course design options that can be used to leverage the bandwidth. One economizing option in courses is to let teams prerecord
Técnicas de análise de dados e machine learning na análise de vendas de autoveículos no Brasil durante a pandemia da Covid-19

This study aims to analyze the impacts of Covid-19 on vehicle sales in Brazil, correlating these factors with semiconductors imports and economic indicators using Machine Learning models. For this, a collection and preparation of data took place before performing the exploratory analysis, and the developing of predictive models. This work is characterized as an applied and exploratory research, with a quantitative approach. The Python language was used to perform exploratory analysis and to create the models. The data used in this study were collected from multiples sources of private companies, government, associations and research institutes. Three regression algorithms were used: Random Forest, Multi-Layer Perceptron and Multiple Linear Regression. The neural network presented the best results among the applied algorithms, reaching an R² of 82.01% in the test data set. After the exploratory analysis, we also noticed the high impact that semiconductors have on vehicle sales and the drastic effects caused by Covid-19 on the variables used in the study. With the model created, it is possible to predict the sales of vehicles in Brazil in a given month based on some economic indicators, semiconductor imports and the monthly deaths of Covid-19.
ACQUISITION OF INDONESIAN IN A CHILD AGED 1 YEAR AND THE FACTORS THAT INFLUENCE IT

This study is aimed to find, study, analyze, and explain about the first language acquisition of a one year old child and the factors that affect it. The data source in this study is a one year old child. The data of this study is collected from the daily utterances of the one year old child. The child was observed in seven months. The observation took place in Banjar Adat Angantiga, Desa Petang, Badung, Bali. The method and technique of collecting data used in this study is the qualitative method with participated observation and unstructured interview. The note taking method is used in the observation and interview. The method and technique of analyzing data used in this study is qualitative descriptive method. The theory of early child language development by Otto (2015) is applied to analyze the acquisition of phonology, morphology, and syntactic in Bahasa Indonesia; factors that affect the language acquisition from KEMENRISTEKDIKTI RI (2018) is applied to analyze the internal and external factors that can affect the first language acquisition. The result of this study showed that in phonological aspect the one year old child can produce vocals /a/ /i/ /u/ /e/ /o/ /?/ /O/ perfectly. Most of the consonants are produced well whether it is in the beginning, in the middle, or in the final position. In the morphological aspect, it is found that the one year old child sometimes produce some meaningless words such as nyah nyah, mbew, yuh, etc. which are undefined and with no reference. In the syntactical aspect, the one year old child can produce one word and two words utterance, simple imperative sentences, negative utterance, and pronominal. The child language acquisition is affected by the internal and external factors. The internal factors are age, nature, genetic, and cognitive. The external factors that can affect the language acquisition are environment and technology.
Machine learning-based sentiment analysis of Gujarati reviews

Opinion examination is the investigation of applied information in an articulation, like appraisals, assessments, sentiments, or perspectives toward a point, individual, or component. Positive, negative, and unbiased articulations are altogether conceivable. The authors of this exploration have built a dataset of Gujarati film audits and give the discoveries produced by the proposed calculation message in the wake of performing sentiment examination utilising a five different machine classifier. The authors fostered various datasets to test our calculation's capacities with different machine classifiers. This paper clarifies how information was gathered to shape a dataset, as well as Gujarati text pre-handling, include determination, and order techniques. According to the results of the investigation, all of the classifiers are performing brilliantly, generating overall precision greater than 75%, however KNN is unable to produce preferred precision above the others.
Development of E-modules as Learning Modules in Vocational High Schools

A person's dependence on technology that can occur outside and within the scope of the school, students are required to be smart in filtering information obtained from cyberspace. The first objective of this research is to produce a product in the form of an e-module as a learning module in SMK and the second objective is to determine the development and feasibility of the e-module that has been developed. The development model used is the ADDIE model which consists of five stages of analysis, design, development, implementation and evaluation. The results of the analysis carried out by the researcher is that there are problems in the learning process, namely when learning the teacher distributes material in the form of different media. This becomes a problem for students and teachers in the learning process. Like opening from one application to another, it makes students feel difficult when learning takes place, so learning becomes less effective. Based on the results of the development, it was found that the development of e-modules as learning modules in Vocational High Schools was recognized for its feasibility as a learning medium. The results of the media validator get a percentage of 88% with a very decent category, the results of material expert validation get a percentage of 80% with a decent category and student responses get a score of 88% with a very decent category.
The Correlation of Parents' Roles on Beginning Reading Ability of Grade 1 Students During Home Learning

This research is motivated by the fact that in class 1 SDN Candiharjo there are several students who are experiencing problems related to their reading ability. Moreover, the learning process is a lot and is often done at home, due to the conditions during the pandemic which requires him to study at home with his parents. Therefore, the researcher wants to examine whether there is a relationship between the role of parents during the learning process at home with the early reading ability of grade 1 students. So the purpose of this study is to find a correlation between the two. This researcher uses a quantitative correlation research approach. Collecting data in this study used a questionnaire on the role of parents and assessment of the reading ability of grade 1 students. The results of this study indicate that there is a positive correlation between the role of parents on the early reading ability of grade 1 students with very strong significance.
The perception of cons and pros on Open Science within Kuwait University Faculty members in the State of Kuwait.

Open Science (OS) in academic libraries has become essential to enhance academic activity in research.In other words, results should be shared openly to enhance the production of research results and accessed easily.The aim of this research is to identify the awareness of cons and pros on OS within the Kuwait University Faculty Members (KUFM).Factors that affect the awareness of OS in Kuwait University (KU) were also explored.A descriptive analysis was used to identify the awareness of cons and pros on OS within the Kuwait University Faculty Members (KUFM).Furthermore, an online questionnaire was sent to all faculty members in the Kuwait University Collages.The main findings indicated that sciences fields had an idea about OS practices more than social sciences fields, as well as there is a clear shortcoming from decision-makers at KU regarding the role of OS in an academic environment.Moreover, the results confirmed that there are challenges that hinder the use of OS practices at Kuwait University, such as; financial issues, cultural challenges, lack of OS professionals, lack of technological support, and lack of awareness of OS practices.Therefore, recommendations to KU on establishing an effective OS environment within the University were suggested.
𝑛-Dimensional Diagnostic Data Analysis

Python is one of the most popular programming languages, widely used for data analysis and modelling, and is fast becoming the leading choice for scientists and engineers. Unlike other textbooks introducing Python, typically organised by language syntax, this book uses many examples from across Biology, Chemistry, Physics, Earth science, and Engineering to teach and motivate students in science and engineering. The text is organised by the tasks and workflows students undertake day-to-day, helping them see the connections between programming tools and their disciplines. The pace of study is carefully developed for complete beginners, and a spiral pedagogy is used so concepts are introduced across multiple chapters, allowing readers to engage with topics more than once. “Try This!” exercises and online Jupyter notebooks encourage students to test their new knowledge, and further develop their programming skills. Online solutions are available for instructors, alongside discipline-specific homework problems across the sciences and engineering.
Circular Nim games CN(7, 4)

Circular Nim is a two-player impartial combinatorial game consisting of n stacks of tokens placed in a circle. A move consists of choosing k consecutive stacks and taking at least one token from one or more of the stacks. The last player able to make a move wins. The question of interest is: Who can win from a given position if both players play optimally? This question is answered by determining the set of P-positions from which the next player is bound to lose, no matter what moves the player makes. We will completely characterize the set of P-positions for n = 7 and k = 4, adding to the known results for other games in this family. The interesting feature of the set of P-positions of this game is that it splits into different subsets, unlike the structures for the previously solved games in this family.
Multi-task GNN for Substitute Identification

Substitute product recommendation is important to improve customer satisfaction on E-commerce domain. E-commerce in nature provides rich sources of substitute relationships, e.g., customers purchase a substitute product when the viewed product is sold out, etc. However, existing recommendation systems usually learn the product substitution correlations without jointly considering variant customer behavior sources. In this paper, we propose a unified multi-task heterogeneous graph neural network (M-HetSage), which captures the complementary information across various customer behavior data sources. This allows us to explore synergy across sources with different attributes and quality. Moreover, we introduce a list-aware average precision (LaAP) loss, which exploits correlations among lists of substitutes and non-substitutes by directly optimizing an approximation of the target ranking metric. On top of that, LaAP leverages a list-aware attention mechanism to differentiate substitute qualities for better recommendations. Comprehensive experiments on Amazon proprietary datasets demonstrate the superiority of our proposed M-HetSage framework equipped with LaAP loss, showing 33%+ improvements on NDCG and mAP metrics comparing to traditional HetSage optimized by a single Triplet loss without differentiating customer behavior data sources.
Photonic Decision Making for Solving Bandit Problem Using Laser Network

We propose a scheme of photonic decision making for solving the multi-armed bandit problem using semiconductor laser network as photonic accelerators. We numerically demonstrate that we can solve different bandit problems using the proposed scheme.
A Phase-Coherent On-Chip Single-Photon SWAP Gate

We demonstrate a single-photon SWAP gate between polarization and spatial-momentum qubits on a silicon-on-oxide chip. Phase coherence of the SWAP gate operation is confirmed via single-photon self-interference, with visibility up to 98.89%.
Peculiarities of Recognition and Description of Educational Objects on 3D Drawings and Other Digital Educational Materials by Schoolchildren with Special Educational Needs

The aim of the study is to determine the features of recognition and description of educational objects on digital educational materials by students of 1 complementary - 5 classes with mental retardation and identify the originality of perception and the potential use of 3D models in teaching this group of students with special educational needs. The article describes the features and indicates age differences in the recognition and naming of objects presented on various digital educational materials; reveals the originality of the perception of 3D models of educational objects; formulates a number of recommendations on the use of digital visual aids, including 3D models, in the process of teaching students with mental retardation. The scientific novelty of the study lies in a comprehensive analysis of the features of recognition and description of various visualizations, presented in the form of digital educational materials, by students. As a result, the obtained data expand the understanding of the possibilities of using electronic visualization in teaching children with mental retardation and allow for a more complete design of work on the formation of media competence of modern speech pathologists and students planning professional activity in the field of teaching children with mental retardation.