Reviewerly/exHarmony huggingface dataset:
Face Detection System with Face Recognition

Abstract: The face is one of the easiest way to distinguish the individual identity of each other. Face recognition is a personal identification system that uses personal characteristics of a person to identify the person's identity. Now a days Human Face Detection and Recognition become a major field of interest in current research because there is no deterministic algorithm to find faces in a given image. Human face recognition procedure basically consists of two phases, namely face detection, where this process takes place very rapidly in humans, except under conditions where the object is located at a short distance away, the next is recognition, which recognize (by comparing face with picture or either with image captured through webcam) a face as an individual. In face detection and recognition technology, it is mainly introduced from the OpenCV method. Face recognition is one of the much-studied biometrics technology and developed by experts. The area of this project face detection system with face recognition is Image processing. The software requirement for this project is Python. Keywords: face detection, face recognition, cascade_classifier, LBPH.
Environmental disciplines taught to foreign students participating short term exchange programs in RUDN University: experience and approach

The article examines experience and approaches of teaching to foreign students who came to the Institute of Environmental Engineering of the RUDN University for short-term exchange programs (2-3 months). The short duration of the exchange programs imposes additional restrictions on the order of studying the material - it is necessary to give an idea not only about the requirements of environmental protection legislation applied, for example, in Russia and the European Union, but also to give students the opportunity to actively participate in the classes during the workshops, taking into account the adaptation period when in their thoughts they are still at home, but are already in the host country. As an example, the courses conducted at the RUDN for students from Indonesia who arrived to participate the program Sustainability management and studying Environmental Impact Assessment and Management of Environmental Risks courses. The experience of teaching these disciplines shows the expediency of practical tasks related to the homeland of students - this allows them not only not to miss their homeland, but also to study in more detail the requirements of their country legislation related impact assessment on the environment, but also the impact of various types of industries on the environment. Thus, the students not only does not fall out of the educational context in home country for several months, but also independently receive more in-depth knowledge. As an exam at the end of the course, it is advisable not to give a traditional test with questions, but to prepare a project that can be carried out jointly with colleagues who have remained at the university in their homeland and allows applying the knowledge gained through the exchange program to create a visually evaluated result (project) on environmental protection in their homeland.
Systematic Literature Review: Delone and Mclean Model using VOSViewer on Google Scholar Database Case Year 2010-2020

This study aims to examine the development of the Delone and Mclean information system success model. This research was conducted to determine: (1) a map of the development of the number of publications on the Delone and Mclean model; (2) find out which scientific articles have the highest number of citations; (3) knowing the development map of scientific publications based on keywords. The data sources used in this study are scientific articles in the Google Scholar database with the keywords Delone and Mclean, with the categories article title, abstract, keywords in the 2016-2020 range. The search results show that there are 270 scientific articles that match the keywords based on the Harzing's Publish or Perish application. The results showed that the development of the Delone and Mclean model in 2010 - 2020 which was the highest in the Google Scholar database occurred in 2020 which reached 68 publications or 25%. Meanwhile, the publications that have the highest number of citations are Nils Urbach and Benjamin Müller (2016) which were quoted 379 times. The development map of scientific publications based on the keywords delone and mclean analyzed using the VOSViewer application shows that the development map of the delone and mclean model is divided into 4 clusters. The red cluster 1 consists of 14 items, the green cluster 2 consists of 11 items, the blue cluster 3 consists of 10 items, and the yellow cluster 4 consists of 6 items.
Determining the Directions of Specialist Preparation Development in the Specialty 026 Performing Arts Based on the Survey Results of Applicants for Higher Education

The material considers the problem of the lack of the standard of Ukraine's higher education of the first (bachelor) level of specialty 026 Performing arts (field of knowledge 02 Culture and art).According to the survey results of stakeholders (applicants for higher education) of Ukraine's several higher education institutions, the elements of the draft of such a standard and ways of development of higher education institutions that provide such training are proposed.Applicants should be trained only in a dual education system, which involves on-the-job training in enterprises, institutions, and organizations to acquire a certain qualification.Proposals formed by applicants are those new pedagogical conditions that need to be organized and implemented in the educational process: to form a system of information support of the educational process and feedback with applicants; to form a professional development system of scientific and pedagogical workers of higher education institutions.
ABOUT THE UNIVERSAL CRITERION OF SCIENCE AND LIKE A SCIENCE DISTINCTION

The concept of like a science is introduced to denote one of the forms of imitation of scientific knowledge, which exists along with pseudoscience as well as and parascience. From the author's point of view, the essence of a kind of science consists in reproducing the external signs of scientific research in order to achieve pragmatic goals that have nothing to do with the search for truth. On one specific example, the author analyzes the typical features inherent in a kind of scientific text. It is proposed to consider this text as a reference. A universal table has been developed that allows one to algorithmize the process of differentiating science and, as it were, like a science. The world-historical significance of the Eidelman concept as a classical embodiment of a kind of science is revealed.
Analysis on the Status Quo of Caring Freshmen’s Professional Courses Learning

University learning is full of expectations for many students who graduate from high school, and many students are troubled. For freshmen, the learning environment and learning methods of the university are very different from the learning mode before high school, which makes many students don’t know how to deal with university teaching and learning for a period of time, and even feel at a loss. In professional learning, the differences in professional learning interest and professional cognition may also affect students’ professional learning and future curriculum learning, resulting in great trouble; In addition, some freshmen generally have a relaxed psychology after entering the University. Their studies begin to become lazy. Students with poor learning ability don’t know how to deal with the new environment and teaching mode. The survey results show that freshmen generally have problems such as unclear learning objectives, low enthusiasm, insufficient learning investment and passive learning, Timely adjust the current situation of students and care for corresponding measures, such as appeasing and correctly guiding students’ learning emotions, draw corresponding conclusions, and give some suggestions to improve the learning effect of professional freshmen.
Comparative analysis of the concepts of students integration into the university environment by means of education

The article emphasizes the idea that any modern university aimed at openness and interaction with its main clients – students-needs mechanisms for integrating past applicants into the university environment. The author analyzes theconcepts of «educational environment» and «university environment», characterizes the main features of the latter, which allow us to talk about the successful adaptation of students to the educational process. Answering this question, the author discusses what the university environment of a pedagogical university should be like, so that students find support for their self-determination as a future teacher and are not disappointed in receiving pedagogical education after starting their studies. Based on comparative research methods, the author makes an attempt to compare different professions of a teacher – what a teacher should be, what qualities he should acquire during training in order to become a «real» teacher. The article also develops the idea of the need to use the competence-based approach in training, its advantages and opportunities. The key role, according to the author of the article, is assigned in this direction to universal competencies – the abilities necessary for a graduate of any higher educational institution in accordance with the Federal State Educational Standard 3++. It is the level of formation of universal competencies that can indicate the quality of training of a specialist as a whole. In conclusion, the article concludes that it is the university environment that largely shapes the future graduate, offering him opportunities for self-realization, creativity and professional development. The author postulates that in the process of the environment modernization, the important fact is the ability of the student to influence the environment in which he is studying, he only needs to be given to understand this and allow him to act. The study was carried out as part of the state task of the Ministry of Education of the Russian Federation № 073- 00077-21-02 to carry out scientific research on the topic «Scientific rationale and development of methodology for ensuring the continuity of Federal Educational Standard in general, secondary professional and higher pedagogical education in order to make a single educational space for the training of teaching staff» (Registry entry No.730000Ф. 99.1.БВ09АА00006)
Utilization of Online Media During Work From Home in Learning at STAHN Mpu Kuturan Singaraja

This study aimed to analyze the utilization of online media during work from home in learning at STAHN MPU Kuturan Singaraja. The emergence phenomenon of online media, such as Zoom, is used as a learning medium nowadays and considered an easy-to-use learning resource. The research type was qualitative research with quantitative data support. The instruments used in this study were various data collection tools, such as interview guides, recording devices, and field notes. Data collection techniques used include; (a) participatory observation, (b) interviews, (c) documentation studies, (d) literature. The data analysis technique used in this research was the qualitative data analysis technique. The results showed that lecturers used online media, such as Zoom Cloud Meeting, Google Meet, Google Classroom, Telegram, and WhatsApp. The use of online media in online learning does not necessarily run smoothly. There are constraints faced by both lecturers and students, such as unstable internet signals and providers in each region, data package costs, delivery of teaching materials, and human resources (HR) who are not yet technologically literate. There is a good impact in the use of e-learning media during the work from home period that students and lecturers feel under conditions and pressures to evolve in the advancement of the use of technology and communication. The bad impact is boredom among new students because they cannot feel the college atmosphere by meeting other students face to face.
Evolutionary Consequences of Conditional vs. Unconditional Sharing: A Case Study in Computational Philosophy

Agent-based modeling techniques have been used by researchers in the field of computational philosophy to provide insights into a number of philosophical questions.In the study reported here, we ran a series of agent-based simulation experiments to see whether groupwide adherence to certain specific moral rules and practices might provide an evolutionary advantage.In each experiment, two groups of individuals competed with each other to harvest food.The members of one group ("sharers") then shared food with each other as specified in one of two sharing rules; members of the other group ("hoarders") never shared food.Individuals who had at least a specified amount of food survived and reproduced, while those who did not died of starvation.Changes in population size were used as a measure of evolutionary fitness.In some experiments, the sharers followed an "unconditional" sharing rule under which they were always obligated to share food.In other experiments, sharers followed a "conditional" sharing rule that made an exception when sharing could put the sharer itself at risk of starving.We found that unconditional sharing had an evolutionary advantage over hoarding when food was plentiful, but a disadvantage when food was scarce.Conditional sharing also offered an advantage over hoarding in a high-resource environment, but unlike unconditional sharing, it did not result in a disadvantage in a low-resource environment.Our observation of these evolutionarily favorable characteristics of conditional sharing provides an interesting example of the potential use of agent-based modeling to inform discussions about the evolution of morality.
A Study of the Impact of Instruction Style on the Quality of Postgraduate Education

Instructing is a key factor in the quality of postgraduate education, and there are many different instruction styles.The purpose of this paper is to investigate the relationship between instruction styles and the quality of postgraduate education through an empirical investigation, so as to explore the extent of instruction style to postgraduate education quality and which one can mostly affect postgraduate quality among supportive, controlling, permissive, and relational.This study empirically analysed the relationship between instruction style and postgraduate instruction quality based on the survey data of full-time academic master's students in a university in southwest China.It was found that the controlling and permissive instruction styles did not have a significant impact on the improvement of postgraduate education quality; the supportive and the relational instruction styles had a more significant positive impact on postgraduate instruction quality.
Research on the Artistic Conception of Multimedia-Assisted Ancient Poetry Based on AI Technology

In order to improve the visual display effect of the artistic conception of ancient poems, this paper combines AI technology to construct a multimedia-assisted artistic conception creation system of ancient poetry and combines probabilistic latent semantic analysis to analyze the semantic artistic conception of ancient poetry. Moreover, with the support of multimedia simulation technology, this paper improves the multimedia teaching mode to improve the effect of multimedia-assisted ancient poetry teaching. In addition, this paper constructs a multimedia-assisted artistic conception creation system of ancient poetry based on AI technology and designs experiments to conduct system performance research. The experimental research results show that the multimedia-assisted artistic conception creation system of ancient poetry proposed in this paper has a good teaching effect and has an important role in promoting the study of the artistic conception of ancient poetry.
Model optimisation of class imbalanced learning using ensemble classifier on over-sampling data

&lt;span lang="EN-US"&gt;Data imbalance is one of the problems in the application of machine learning and data mining. Often this data imbalance occurs in the most essential and needed case entities. Two approaches to overcome this problem are the data level approach and the algorithm approach. This study aims to get the best model using the pap smear dataset that combined data levels with an algorithmic approach to solve data imbalanced. The laboratory data mostly have few data and imbalance. Almost in every case, the minor entities are the most important and needed. Over-sampling as a data level approach used in this study is the synthetic minority oversampling technique-nominal (SMOTE-N) and adaptive synthetic-nominal (ADASYN-N) algorithms. The algorithm approach used in this study is the ensemble classifier using AdaBoost and bagging with the classification and regression tree (CART) as learner-based. The best model obtained from the experimental results in accuracy, precision, recall, and f-measure using ADASYN-N and AdaBoost-CART.&lt;/span&gt;
Liability of Internet Service Providers for Online Copyright Infringement: International Experience and Recommendations for Vietnam

The advent of the Internet has posed unprecedented challenges on enforcing copyright. Online copyright infringements are pervasive, while it is not easy to impose liability on direct infringers, i.e., Internet users. This leads to a debate over whether online platforms or online intermediaries, which are often named “Internet Service Providers” (ISPs), should be held liable for these infringing activities or not, and if so, how to balance between Internet freedom, technological innovation and the need for effective copyright enforcement in the digital era. The aim of this paper is to provide answers to these questions by analyzing ISP’s liability from different international approaches such as the United States, the European Union, and China; hence, some experience for Vietnam could be drawn. Finally, the authors make recommendations to address the shortcomings in Vietnam’s intellectual property law with respect to ISP’s liability. This research is perfectly timing, given that Vietnam is amending its Intellectual Property Law to implement its commitments under the new generation free trade agreements and to meet the demand of the Fourth Industrial Revolution
Prediction of Patients' Illness Based on Average Temperature and Rainfall In Az-Zainiyah Clinic Using Backpropagation Method

The purpose of this study is to predict the type of disease in students based on the average temperature and rainfall at the Az-Zainiyah clinic using the backpropagation method. With this research, we hope that the prediction/estimation process on the type of patient's disease using the backpropagation artificial neural network method provides a solution with precise and accurate prediction results based on data on many patients, average temperature, and previous rainfall. This research is carried out through a process of predicting the type of disease by collecting time-series data from patient visit reports. The raw data obtained are examined for completeness and quality of the data. Then, the data was analyzed and applied to an artificial neural network method to predict the type of patient's disease based on many patients, average temperature, and rainfall. Furthermore, the artificial neural network will be optimized by the backpropagation algorithm. From this study, we find that the percentage of precision obtained in the experimental type of pharyngitis/sore throat disease in November 2020 with an average precision percentage is 68.92%, the best precision percentage is 90.25%, and the worst precision percentage 47.59%. In December 2020, the average precision percentage is 41.46%, with the best precision percentage being 65.55%, and the worst precision percentage 4.92%. In the type of dermatitis/itching disease in November 2020, the best precision percentage is 98.81%, the average precision percentage is 68.31%, and the worst precision percentage is -21.57 %. For December 2020, the average precision percentage is -63.27%, the best precision percentage is 48.37%, and the worst precision percentage is -183.85%.
A Secure Block Chain Based Contract Manufacturing System for Pharma Industries Using Imperative Ant Loop Optimization Algorithm

Manufacturers that work under contract for another firm may make their goods under their own brand or label. Using their own or their clients' designs, formulas, and needs as a guide, contract manufacturers perform this service. The pharmaceutical industry relies heavily on contract manufacturing. Due to a lack of capital, some companies are unable to obtain the required equipment for large-scale mass production of certain chemicals. In order to create the final product, they can work with a third-party chemical manufacturer to obtain the necessary chemicals and combine them with their own resources. An organization should carefully assess the benefits and drawbacks of contract manufacturing before committing to this strategy. There may be advantages to contract manufacturing, if the company works with the right service provider capable of delivering high-quality products. The contract manufacturing system proposed in this study is a blockchain-based solution for the pharmaceutical business. Initially, the customer uploads the order details that are preprocessed using normalization method. The preprocessed data is authenticated using the crypto smart contracts before being stored in the blockchain ledger. Then the stored data can be encrypted for security purpose by using the triple MD5 algorithm. Finally, the trust of the order data is evaluated using the proposed Imperative Ant loop optimization algorithm. In order to demonstrate the effectiveness of our system, we use the MATLAB simulation programme to compare it to other approaches.
Hybrid Cluster based Collaborative Filtering using Firefly and Agglomerative Hierarchical Clustering

Recommendation Systems finds the user preferences based on the purchase history of an individual using data mining and machine learning techniques. To reduce the time taken for computation Recommendation systems generally use a pre-processing technique which in turn helps to increase high low performance and over comes over-fitting of data. In this paper, we propose a hybrid collaborative filtering algorithm using firefly and agglomerative hierarchical clustering technique with priority queue and Principle Component Analysis (PCA). We applied our hybrid algorithm on movielens dataset and used Pearson Correlation to obtain Top N recommendations. Experimental results show that the our algorithm delivers accurate and reliable recommendations showing high performance when compared with existing algorithms.