Reviewerly/exHarmony huggingface dataset:
Regional Crowd Status Analysis based on GeoVideo and Multimedia Data Collaboration

Multiple scene video surveillance systems can be combined through GIS technology to eliminate scene restriction and complete regional crowd state analysis. Regional surveillance video data is huge and complex, and its data screening, processing and analysis are difficult. Aiming at the problem of regional crowd state monitoring, this paper proposes a method of crowd state analysis based on GeoVideo and multimedia data cooperation. This method integrates social media data information, uses urban POI data and microblog sign-in data to extract hotspot areas to screen or collect the monitoring video of the hot area, then extracts the crowd state feature of the video and combines the VideoGIS to complete crowd status analysis in this area. Finally, the experiments which were designed for crowd flow monitoring confirm the feasibility and correctness of the method on the regional crowd state monitoring and analysis.
Design of Machine Learning Framework for Products Placement Strategy in Grocery Store

The well-known and most used support-confidence framework for Association rule mining has some drawbacks when employ to generate strong rules; this weakness has led to its poor predictive performances.This framework predicts customers buying behavior based on the assumption of the confidence value, which limits its competent at making a good business decision.This work presents a better Association Rule Mining conceptualized framework for mining previous customers transactions dataset of the grocery store for the optimal prediction of products placed on the shelves, physical shelf arrangement and identification of products that needs promotion.Sampled transaction records were used to demonstrate the proposed framework.The proposed framework leverage the ability of lift metric at improving the predictive performance of Association Rule Mining.The Lift discloses how much better an association rule predicts products to be placed together on the shelf rather than assuming.The proposed conceptualized framework will assist retailers and grocery store owners to easily unlock the latent knowledge or patterns in collected grocery's store transaction dataset to make important business decisions that will make them competitive and maximize their profit margin.
Spin lasing in bimodal quantum dot micropillar cavities

Spin-controlled lasers are highly interesting photonic devices and have been shown to provide ultra-fast polarization dynamics in excess of 200 GHz. Another class of modern semiconductor lasers are high-beta emitters which benefit from enhanced light-matter interaction due to strong mode confinement in low-mode-volume microcavities. We combine the advantages of both laser types to demonstrate spin-lasing in high-beta microlasers for the first time. For this purpose, we realize bimodal high-beta quantum dot micropillar lasers for which the mode splitting and the polarization-oszillation frequency can be engineered via the pillar cross-section. The microlasers show very pronounced spin-lasing effects with polarization oscillation frequencies up to 16 GHz.
Probabilitas Pembayaran Kredit Tepat Waktu Mengggunakan Algoritma Naïve Bayes Pada Koperasi Serba Usaha Daruzzakah Rensing Lombok Timur

In general, the notion of a cooperative is a business entity that is owned and managed by its members. Meanwhile, multi-business cooperatives are cooperatives whose business activities are in various economic aspects such as savings and loans, production, consumption and services, which consist of people or cooperative legal entities by basing their business activities on the cooperative principle as well as a people's economic movement based on the principle of kinship. This research took place in one of the cooperatives in the village of Rensing, East Lombok, with the cooperative name "Daruzzakah". This cooperative is a multi-business cooperative with one type of activity is to provide savings and loans or credit to its members. The purpose of this cooperative is as an alternative means of borrowing money or credit as well as trying to prevent its members from loan sharks. However, in practice there are problems, namely the number of delays and credit payments that are not on time. Judging from the large number of customers who borrow funds, a strategy is needed to be able to fulfill all of these activities, the increasing number of prospective customers applying for credit with different economic conditions, requiring accuracy in making credit decisions. To avoid this, it should be necessary to analyze member data to determine the feasibility of providing credit, so that it can be classified as whether or not to get a loan. Data analysis can be done using data mining techniques. For this reason, the authors try to provide solutions to these problems by applying the naïve Bayes algorithm in predicting and determining creditworthiness. The Naive Bayes algorithm has been widely used by previous researchers and has high accuracy values. In this study, the Naive Bayes algorithm was used and resulted in an accuracy value of 96.45% with an AUC value of 0.942 which means it is a good classification.
Distribution of Natural and Anthropogenic Sources, and Mapping of As, Co, and Hg by Three Ecological Risk Indices in the Mid-continent of the USA

Three indicators are employed including the Enrichment factor (EF), geoaccumulation (I geo), and potential ecological risk assessment (PERI) to measure the degree of contamination of As, Co, and Hg in soils.The objective of this investigation is to evaluate the concentration of As, Co, and Hg in the soils of Iowa (IA), Kansas (KS), and Nebraska (NE).Study of the spatial distribution of chemicals was carried out as part of the investigation, which leads to the suggestion of the potential source of the elements.EF, I geo and PERI indexes, As and Co contain minimal enrichment, and Hg is high.EF of As and Hg are similarly classified with minimal contamination as well as EF of Co in NE.EF can be ordered Hg > As > Co. PERI values of As and Co are classified as a low risk.PERI values of Hg are higher than As and Co.I geo values of As and Co indicate uncontaminated to moderately contaminated soil.I geo of Hg is highest of three chemicals order Hg > As > Co.However, I geo degree of As is approximately similar in the three states and it is higher than Co, which indicate as uncontaminated to moderately contaminated.PERI show serious ecological risk pollution of Hg in the soils.These investigations indicate minimal to moderate soil contamination with As and Co in the three states.The spatial distribution is widespread and continuous.Point source maps are compared with this present product.The nature of the spatial distribution correlates with the major human activity on the land, agriculture.The As, Co, and Hg chemistry of the soil is due to the intense fertilization that accompanies such successful agriculture, which originates from anthropogenic sources that require continuous monitoring.
Sensitivity Direction Learning with Neural Networks Using Domain Knowledge as Soft Shape Constraints

If domain knowledge can be integrated as an appropriate constraint, it is highly possible that the generalization performance of a neural network model can be improved. We propose Sensitivity Direction Learning (SDL) for learning about the neural network model with user-specified relationships (e.g., monotonicity, convexity) between each input feature and the output of the model by imposing soft shape constraints which represent domain knowledge. To impose soft shape constraints, SDL uses a novel penalty function, Sensitivity Direction Error (SDE) function, which returns the squared error between coefficients of the approximation curve for each Individual Conditional Expectation plot and coefficient constraints which represent domain knowledge. The effectiveness of our concept was verified by simple experiments. Similar to those such as L2 regularization and dropout, SDL and SDE can be used without changing neural network architecture. We believe our algorithm can be a strong candidate for neural network users who want to incorporate domain knowledge.
Research of the problem of involvement of technical university students in the process of physical education: students' opinions

Introduction. The study of the problem of students' involvement in physical education is important in the research environment of universities. Modern students, studying for 8 hours a day at the university, are also forced to do homework, carry out scientific work, and it is physical culture and sports that are one of the most important factors for maintaining and promoting health. The purpose of this study is to identify the interest of students of the research university in physical education classes in the aspect of sociological analysis. Materials and methods. Students from the 1st to the 4th year of full-time study (150 people) of the Stupino branch of the Moscow Aviation Institute (National Research University) took part in an anonymous sociological survey by filling out Google forms. Results. The analysis of the results of the survey of students showed that the level of involvement in physical education is not fully formed (only 48,7% regularly attend physical education classes, 40,7% attend from time to time and almost 10,6% do not attend at all). Students do not have enough internal attitudes to realize the importance of physical culture classes. Nevertheless, 73,3% show interest in physical education, noting that they do it to improve general physical qualities. Conclusion. Physical education at the university is carried out throughout the entire period of study and is implemented in various forms that are interrelated, complement each other and represent a single process of physical education of students. The purpose of physical education at the university is the formation of physical culture of students as a systemic quality of personality, an integral component of the general culture of future specialists who are able to implement it in educational, social and professional activities and the family.
An unsupervised learning neural network for planning UAV full-area reconnaissance path

To plan a UAV's full-area reconnaissance path under uncertain information conditions, an unsupervised learning neural network based on the genetic algorithm is proposed. Firstly, the environment model, the UAV model and evaluation indexes are presented, and the neural network model for planning the UAV's full-area reconnaissance path is established. Because it is difficult to obtain the training samples for planning the UAV's full-area reconnaissance path, the genetic algorithm is used to optimize the unsupervised learning neural network parameters. Compared with the traditional methods, the evaluation indexes constructed in this paper do not need to specify UAV maneuver rules. The offline learning method proposed in the paper has excellent transfer performances. The simulation results show that the UAV based on the unsupervised learning neural network can plan effective full-area reconnaissance paths in the unknown environments and complete full-area reconnaissance missions.
THE USE OF THREE-STEP INTERVIEW TECHNIQUE ON STUDENTS’ SPEAKING ABILITY

Teaching speaking is one of the important parts of foreign language learning. The ability to communicate in a second language is a key to the success of the learner to master English language and to his success in their real life. The fact that cannot be denied is that sometimes students feel reluctant to speak because of shyness and fear of making a mistake. Three-step Interview technique is one of the techniques from cooperative learning that has many positive effects. This research is conducted to find out the effect of using Three-Step Interview technique on students’ speaking ability. It is conducted online at Pakuan University. In this research, a pre-experimental method with one group pre-test and post-test is used. There are 30 students in the first semester as samples. The data are taken from pre-test and post-test. Some steps are done to analyse the data and the design of the t-test formula is applied to get the final result. Based on the data calculation, it shows the t-test value is 19.7. The results of t-test and t-table with d.f = 29 at significant level 0.05 is 2.04. It shows that t-test value is higher than t-table (19.7 greater than 2.04). It means that the alternative hypothesis is accepted. In conclusion, there is an effect of using a three-step interview technique on students’ speaking ability.
Interaction analysis on social-education of Indonesian school students: A literacy activity

Abstract Purpose: The purpose of this study is to analyze the socio-educational interactions between teachers and students. This article also looks at a literacy activity utilized by the teachers and students and their interaction patterns. Research methodology: This research applied a naturalistic approach and descriptive qualitative research design. The data were collected through observation, interviews, and documentation. The data then were analyzed descriptively using the Miles and Huberman analysis model, namely data condensation, data presentation, and concluding. Results: The research results show that to improve student literacy, there were two patterns of interaction: first, a one-way interaction pattern centered on the teacher as a facilitator, corrector, evaluator in literacy activities: second, a multi-directional interaction pattern occurred. Literacy activities aim to train the learners’ ability in reading, understanding and commenting. During the core activities, several aspects of the interactions occur between teachers and students, such as conveying information, explaining, motivating, and proposing to students. At the closing stage of literacy, several aspects of the interaction between teachers and students occur. Making summaries and reading about the literacy activities have provided directions for further literacy activities and conducting evaluations that have been carried out. Limitations: There are limitations to the researcher, so this research is limited to one school only with the object of research on all students and teachers assigned to literacy activities at SMA Negeri 1 Latambaga. Contribution: The study is expected to assist the schools in monitoring the literacy activities and developing student literacy, whereas, for students, this study is expected to improve their literacy and broaden their insights about technological and scientific developments.
Correction to: Enhancing attributed network embedding via enriched attribute representations

A Correction to this paper has been published: https://doi.org/10.1007/s10489-021-02706-7
ACTIVE TEACHING METHODS AND THEIR PLACE IN THE EDUCATIONAL PROCESS

Historically, the oldest group of methods are verbal and then written methods. It should be noted that in the early years of the formation of the theory and practice of teaching in the Soviet school, a large place, if not the most important thing, was assigned to active teaching methods - heuristic, research, especially excursions, laboratory, practical research. Teaching methods are the most important structural components of a holistic pedagogical process, which includes the goals and objectives of training, the content, the forms of organization of training and its results. As you know, the main characteristic of the learning process is its purpose, on which the choice of the content of education (training material) depends. The teaching methods should correspond to this content.
On pronominal locative and temporal adverbs in Dabida (Bantu)

The paper describes linguistic properties of the Dabida pronominal demonstrative adverbs of space and time formed from the demonstrative pronouns in noun class 16 (locative) agreement through the conversion. The language data has been obtained from two Kenyan informants who were native speakers of the Mbololo dialect of Dabida studying in Moscow
APLIKASI TEKNOLOGI AUGMENTED REALITY DALAM KONSERVASI SITUS WARISAN BUDAYA DAN MITIGASI BENCANA GUNUNG GALUNGGUNG JAWA BARAT INDONESIA

The name Galunggung is very well known to the people of Indonesia as the name of the mountain and the name of an Old Sundanese Manuscript. The ancient manuscript of Amanat Galunggung is a manuscript written in the 16th century and contains the teachings of life or local genius of the Sukapura or Tasikmalaya people. Mount Galunggung has experienced several eruptions from 1822 to 1983. The eruption of Mount Galunggung has had a catastrophic impact on the community and provided long term benefits for improving the soil fertility around the Mount Galunggung site such as the Indihiang site. Various disasters that have occurred due to volcanic eruptions in various regions have become a source of learning for the community to mitigate disasters from an early age. This research uses qualitative methods and digital augmented reality techniques. Augmented Reality can be used in visualizing and simulating mountain sites or other cultural heritage sites. The results of this study recommend the application of Augmented Realty technology in the conservation of cultural heritage sites and disaster mitigation as well as the planning program for the nomination of mountain sites in Indonesia for UNESCO’s world cultural heritage by the Indonesian government. Various efforts to develop site conservation with digital 4.0 technology and assistance for local communities involving universities, local governments, museum communities and the cultural arts tourism industry. The use of Augmented Reality can be useful for increasing understanding and learning experiences about cultural sites and heritage in tertiary, primary and secondary education.
Developing and Creating Board Game as a Media to Learn English Vocabulary for Senior High Student

Students have a general problem to even start learning the English language. Through the game, student will only feel that they’re playing games and not studying, increasing the willingness of someone to learn more by averting their mindset to think that they are playing instead of studying. The game will be created in a form of a board game, the reason is the game is seen as more a friendly and more acceptable by more people. The objective of this research is to design a board game helping student to increase their English proficiency in a friendlier, easier, and enjoyable manner. The board game was tested to 40 students on high school by letting them play it 10 times in different day each time they play, and then filling the questionnaire. The questionnaire then will be processed in SPSS software to conclude the result of the research. This research will produce an English learning educational board game which will improve their English proficiency in a fun and cooperative way (togetherness).
A Hybrid Enhanced Real-Time Face Recognition Model using Machine Learning Method with Dimension Reduction

Face recognition techniques play a crucial role in numerous disciplines of data security, verification, and authentication. The face recognition algorithm selects a face attribute from an image datasets. Recognize identification is an authentication device for verification as well as validation having both data analysis and feasible significance. The facerecognizing centered authentication framework can further be considered an AI technology implementation for instantly identifying a particular image. In this research, we are presenting a hybrid face recognition model (HFRM) using machine learning methods with “Speed Up Robust Features” (SURF), “scale-invariant feature transform” (SIFT), Locality Preserving Projections (LPP) &amp;Principal component analysis (PCA) method. In the proposed HFRM model SURF method mainly detects the local feature efficiently. SIFT method mainly utilizes to detect the local features and recognize them. LPP retains the local framework of facial feature area which is generally quite meaningful than on the sequence kept by a 'principal component analysis (PCA) as well as “linear discriminate analysis” (LDA). The proposed HFRM method is compared with the existing (H. Zaaraoui et al., 2020) method and the experimental result clearly shows the outstanding performance in terms of detection rate and accuracy % over existing methods.
Generation Net: Humanization or Digitalization

Digital technologies in the 21st century are becoming an integral part of people’s lives. In the modern educational paradigm in Russia the processes of digitalization have been objectively conditioned by the transition on the part of society to a new technological order. Because of digital technologies in education, the Net generation (i.e., children born in the 2000s) will be prepared for a successful mastery of the electronic technological environment. The author considers two positions in assessing the capabilities of the digital generation. Proponents of the cognitive, technological potential for the new generation of young people believe that a special digital environment must be created in the educational environment for the Net generation for the successful development of their abilities and creative potentials. The other assessment is that the heuristic potential of the digital generation is overstated. The article presents the results of the analysis of creative works of students of one of the technical universities. These make it possible for us to conclude that along with the processes of digitalization in education, the humanitarian component must be strengthened. The abundance of information leads to a lack of the ability to comprehend and experience it, and, as a result, to a lack of creativity. Creative activity is based not only on knowledge, but on imagination, the aspiration towards fantasy. The level of creative abilities of the representatives of the digital generation does not exceed the level of the older generation, namely, the “digital immigrants.” The author comes to the conclusion about the necessary dialectics of humanitarian and digital education, which is able to develop a creative, educated personality.
Investigating the Distribution of Knowledge Structure in Extended Concept Mapping

Extended concept mapping is a technique to integrate prior existing knowledge structure a new relevant information.Some researchers argue that the extended concept mapping approach is efficient in building a knowledge base and facilitating improved meaningful learning.However, no information has been presented regarding the distribution of knowledge structure.This study aimed to compare two extended concept mapping approaches and investigate the distribution of quality of students' knowledge structures.A total of 55 college students participated and divided into two groups, control and experimental.The students in the control group used the Extended Scratch-Build (ESB) technique, and those in the experimental group used the Extended Kit-Build (EKB) map.The results suggested that the students in the experimental group not only outperformed the control group in terms of quality of knowledge structure scores but also had an equitable distribution of achievement in material subtopics.Students who used the EKB were able to maintain performances consistently from the beginning to the end of material subtopics.