Reviewerly/exHarmony huggingface dataset:
AN EXPERIMENTAL STUDY OF FACE RECOGNITION METHOD

The increased use of face recognition techniques leads to the development of improved methods with higher accuracy and efficiency. Currently, there are various face recognition techniques based on different algorithm. In this study, a new method of face recognition is proposed based on the idea of wavelet operators for creating spectral graph wavelet transformation. The proposed idea relies on the spectral graph wavelet kernel procedure. In this proposed method, feature extraction is based on transformation into SGWT by means of spatial domain. For recognition purpose, the feature vectors are used for computation of selected training samples which makes the classification. The decomposition of face image is done using the SGWT. The system identifies the test image by calculating the Euclidean distance. Finally, the study conducted an experiment using the ORL face database. The result states that the recognition accuracy is higher in the proposed system which can be further improved using the number of training images. Overall, the result shows that the proposed method has good performance in terms of accuracy of the face recognition
The Pragmatic Transfer of Javanese Sojourners’ English in Conversation Strategies

The use of home cultural schemas in English interactions in an English-speaking host country as a form of discrepancy leading to misunderstanding. This study investigated the pragmatic transfer phenomenon, namely the use of Javanese culture in English conversation. It aimed at finding an occurrence of pragmatic transfer in the Javanese English conversation in the host country; the conversation strategies the transfer takes place, and the tendency of pragmatic transfer in the conversational strategies. The data were collected through semi-structured interviews and field notes. The analysis used the narrative analysis using vital emergent themes based on the pragmatic transfer principle, the conversational strategy, and the Javanese norms. The result indicated the availability of negative and positive pragmatic transfer in four strategies: making the most of others’ praise, indirect response, denial over compliments, mitigating taboo or imposition marked with Javanese terms, idioms, and jargon insertion. Besides, motivation is an essential aspect that determines the existence of pragmatic transfer in English interactions.
Segmentation and classification algorithms applied to sentinel-2A images for geological mapping: case of the Al Glo'a sheet (1/50000), Morocco

The multispectral image, of Landsat 7 and 8; Aster and Sentinel-2A, has good results in lithological, structural, hydrothermal and mineralogical alteration mapping.Segmentation and image classification are two complementary steps as they are allowed the most important operations in the field of image processing.In this sense, this work aims at evaluating the potential of segmentation and classification algorithms for the generation of surface geological maps, hydrothermal alterations and lineaments.Given the good resolution of the Sentinel 2A (10m), the three images, (11/12; 11/2; 11/8), 12.8.2,main component 1, 2 and 3 (11.12.2), processed by five algorithms (K-means, isodata, watershed, efficient graph-based image segmentation, thresholding) for geological mapping and then mining exploration.The study displayed that 1) Watershed algorithm can be used for topographic and hydraulic studies, it can be very useful in the preparation phase of geological and mining infrastructures; 2) threshold segmentation does not give good results in terms of geological discrimination since it divides each image into two parts; 3) the same thing for the effective thresholding and segmentation of graph-based images; 4) The Isodata and K-means algorithms show good geological discrimination.
TEACHING READING STRATEGIES FOR EIGHT GRADE OF SMPN 1 JEREWEH

Reading English text as a basic language skill has a complicated process to be absorbed by second language learners. In practice, Text-based has enlarged students to the complicated of reading comprehension. Therefore, various kinds of teaching reading strategies appropriate to students’ characters and needs are determined. This study aimed to identify teaching reading strategies that English teachers frequently use and identify students’ reading achievement by applying certain recommended strategies and identifying its effect in the teaching and learning process. The subject was thirty students in the eighth grade of SMPN 1 Jereweh, Academic Year 2019/2020. Data collection procedures were FGD, In-depth Interview, Observation, and a reading test. The reading test was distributed toward the Pre-test and Post-test. While the data analysis was a qualitative and inferential statistic. The findings showed two kinds of teaching reading strategies that were frequently applied by English teachers in SMPN 1 Jereweh, namely, SQ3R and QAR. By designing a new combination between both of those strategies, students reading comprehension achievement showed that dominantly students’ categorized in “Good “level. The mean score was significantly different (Pre-test= 55.83, while Post-Test= 78.92). In addition, the r = 0.00 &lt; 0.05 meant that there were significant effects before and after implementing SQ3R and QAR strategies. Thus, this design was recommended for teaching reading comprehension.
The Phenomenon of the Concept of «Scientific School» in the Context of Modern Pedagogical Thought

The content of the article is to study the phenomenon of the concept of «scientific school» in the context of modern pedagogical thought. It was found that the training of young scientists in scientific schools is an effective pedagogical technology that meets modern requirements for the development of national education and science. It is investigated that the scientific school is an effective model of education, which translates, in addition to purely scientific content, cultural norms and values from the older generation to the younger. It is determined that the scientific school is such a scientific and educational environment where scientific personnel grow intellectually. It is generalized that the scientific school is a bright manifestation of the collective form of scientific and creative activity under the direct ideological and practical guidance of an outstanding scientist and teacher, who contributes scientific ideas to this team, determines the forms, methods and content of school work. Students and followers are a prerequisite for the functioning of a scientific school. Through them there is a transfer of scientific ideas and traditions from one generation to another. An important indicator of the formation of a scientific school is its integration potential, ie the ability to unite like-minded people and followers, to influence the conceptual ideas of representatives of other scientific associations.
Interaction of the university and the region in the conditions of the digital economy

The article examines the modern forms of relationships between universities and the regional environment. The interaction of the university and the region has a positive effect on the training of qualified personnel for the regional economy, and also contributes to a significant increase in the scientific and technical potential of the region. Models of interaction between the university and regional communities, their main problems and possible ways of development are considered. The challenges to the classical university from the side of modern social realities are analyzed.
Experimental research of digital filtering in the separation of breathing signals and heart contractions to assess the control of the driver’s condition

The article is devoted to the research of the method of digital filtering of a mixture of signals at ultra-low frequencies. A mathematical model of the system has been developed that includes an adequate signal model that really brings the result. The type of filter and the window function that is included in it were selected, and an algorithm for digital filtering of the signal mixture was developed that allows the most accurate selection of the received signal parameters. The obtained research results confirmed the efficiency of the mathematical model and the filtering algorithm of the signal mixture, and also proved their practicality in use.
Evaluasi Sistem Dapodikmen Dengan Pendekatan Utility System Pada Sekolah Menengah Atas Negeri Kota Palembang

Dapodikmen system has not yet reached its accurately and effective utilization.. The results of observation and interview done to school operators in some high schools in Palembang show that there are different factors which determine the effectiveness of the system, for example, the content of information, ease of access and availability of the system which often has not been in accordance with the users’ needs. One approach used to evaluate the effectiveness of the system is the System Utility. The approach by Kendall &amp; Kendall, 2007 (in Martoyo, 2015:638) review the success of the system implementation from six points of view, namely possession, goal, place, form, time and actualization utility. This approach is included in the category of system effectiveness evaluation viewed from the user's expectations. The results of this study demonstrate that of the aspect of variable utility and value of the Dapodikmen system is 4, 2636. This concludes that the availability of the system in high schools in Palembang city is effective.
ERP Business Process Attributes to Create Competitive Advantage

During the industry 4.0 revolutions and business intelligence era, in which automation and data exchange in manufacturing technologies becomes a prerequisite.Therefore, companies aspiring for achieving competitive advantage need to be updated with the latest technologies.Enterprise Resource Planning (ERP) systems are among the most up-to-date integrated information systems which play particularly important role in overseeing and coordinating all the activities, information and functions and information of a business from common database.Despite the fact that previous studies indicate a lack of understanding of the relationship between ERP systems and competitive advantage using each of ERP business processes attributes (i.e.integration, standardization, routinaziation and centralization) need to be investigated.Based on the 114 functional answers, the data was examined utilizing the following approach: structural equation modeling (SEM) via the software: partial least square (PLS).The results offer empirical evidence on the importance of every ERP attribute in determining firm's competitive.Evidently, there is a positive association between such variables and the competitive benefit.Such findings present an insight on the association between ERP attributes and the competitive advantage of an enterprise, which could be an input for businesses so as to encounter the industrial digitalization and the era of business intelligence.
EFEKTIVITAS KOMUNIKASI PROSES PEMBELAJARAN JARAK JAUH (DARING)

Title: Communication Efficacy During Distance Learning Process (Online) The Coronavirus pandemic has been forcing us to avoid physical contact in the working field and educational institutions. We have to deal with many ostacles in this new learning and working environment, both technical and non-technical. Unstable internet connectivity and the financial challenge to provide online access for students at home are among the fundamental problems caused by this distance learning process. As a consequence of this study, material delivery and student’s comprehension are at risk. Based on these facts, lecturers and institutions must have proper/ better planning strategies to increase learning outcomes in an academic program as a whole and each course for more aimed results. In an architecture department, studio courses are essential. One strategy example of dealing with today’s situation is a collaboration among 2-3 studio courses on the same level to enhance mutual achievement, creating better synergy between methods. This learning strategy’s objective is to make the learning process delivery more efficient and comprehensible to students.
Exploradar: User-Centric Intelligent Document Retrieval System

Finding a document is one of the most time consuming and laborious task for a user and could affect the overall productivity of an individual in a workforce.Even if the user finds a document by himself/herself, it is still cumbersome to remember the file location of every document present in the computer system considering their volatile nature.For instance, files may be moved from one location to another, deleted, renamed, etc.Over time, it is also probable that the user forgets the actual name of the document and the content related to the document.The abstractive text summarizer implemented in Exploradar provides a summary of user documents.Using the user query, Exploradar provides the best results of the documents present in the user system that includes the file system and databases.Further, to simplify the problem of remembering the contents in a document, Exploradar classifies documents into different domains/tags that help the user in faster document retrieval.
USE OF SMART TECHNOLOGIES IN SOCIAL AND ENVIRONMENTAL TRAINING OF TECHNICAL SPECIALISTS

Subject of the paper: training of technical specialists to facilitate the formation of social and environmental competence as one of the most important components of competitiveness in the job market. Object of the paper: the use of SMART technologies in the process of building the social and environmental competence. Work objective: theoretical justification for using the intellectual information technologies in the educational system and integrating the experiences in the implementation of SMART technologies into the social and environmental training of technical specialists. Work methodology is to identify and to promote the practical application of SMART technologies both in the process of teaching ecological disciplines and in project and research activities for building the social and environmental competence of future technical specialists. Work results contain theoretical and methodological grounds of the implementation of SMART technologies in the educational process as well as the effectiveness of their application by the faculty members in teaching and learning activities for the training of future highly qualified technical specialists. The area of application of the results is the process of social and environmental training of specialists in technical specializations and profiles for building the social and environmental competence in out-of-class and in-class activities. Conclusions: It is especially important to use intellectual technologies in the educational process for training technical specialists possessing social and environmental competence. It ensures the individualization of teaching, motivation for cognitive activity, the development of conscious target setting, individual educational paths’ modeling, mobility, addressing the educational needs, and building high-demand competences in future occupations.
Pemetaan Risiko Penyakit Tuberkulosis (TBC) di Kota Surakarta dengan Spatial Empirical Bayes

&lt;p&gt;Tuberculosis is an infectious disease that can attack human with a poor immune system. In 2017, there were 723 residents of Surakarta tested positive for tuberculosis. The spatial empirical Bayes method is a good method for mapping the risk of tuberculosis because this method includes spatial dependency information and can overcome small area problems. This method can help the prevention of tuberculosis in Surakarta. In the analysis, it was found that the number of cases of tuberculosis in Surakarta has a spatial dependency that has an impact of the spread of tuberculosis. Sub-district classification with the highest risk value is Jebres, Tegalharjo, Jajar, Laweyan, Sondakan, Purwosari, Mangkubumen, Keratonan, Timuran, and Punggawan.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keywords&lt;/strong&gt; : tuberculosis, mapping, spatial empirical Bayes, Surakarta&lt;/p&gt;
Rhetoric Patterns of Toulmin in Class Discussion Arguments Universitas Negeri Malang

Rhetoric patterns in class discussions are described according to the following categories: (1) reasoning patterns in class discussions, and (2) argument patterns in class discussions.Reasoning patterns in class discussion have types of reasoning in the form of inductive reasoning patterns, deductive reasoning patterns, and mixed reasoning patterns.The argument pattern in class discussion is divided into argument patterns in the form of Top Down, and reasoning patterns in the form of Bottom Up.The purpose of this study was to provide additional insight into how to use rhetoric in the learning process in the form of class discussions and question-and-answer lectures by reviewing reasoning patterns and arguing patterns.The method used was descriptive qualitative with the researcher as the key instrument.The results of the research found that there was a pattern of reasoning that had six elements, namely data, stance, basic truth, support, modality, and rebuttal, which contained full, half rhetorical patterns and a little rhetoric, while the argumentation patterns found patterns of top dawn and bottom up.There is a benefit to students in which this study provides knowledge in conveying ideas, it is necessary to pay attention to vocabulary mastery (diction) and the suitability of the topic of conversation in order to have factual compatibility.
Some Problematic Aspects of Coliform Bacteria Clustering on Medical Images in the Task of Identifying Possible Diseases

Medical image analysis methods are one of the sources for obtaining additional information about the investigated phenomena. We are looking at images of coliform bacteria. Analysis of these images allows you to determine the possibility of developing certain diseases. To do this, it is necessary to cluster the set of bacteria and count the bacteria. The paper highlights the features of clustering for coliform bacteria. Clustering results for real data are presented.
Enhancing the impact strength of acrylic resin base plate by adding non-dental E-glass fiber

Non-dental glass fiber is one of the materials that can be used to increase the impact strength of a acrylic resin base plate, containing a similar composition to that of dental e-glass fiber. Orientation and positions of fiber affect the reinforcement effectiveness. This research aimed to examine the effect of the orientation of non-dental glass fiber in the compression position on the impact strength of an acrylic resin base plate. The research was conducted on 16 acrylic resin plates with fiber (65 mm x 10 mm x 2.5 mm) addition. The samples were divided into 4 groups (combination of different woven orientation unidirectional, bidirectional woven in the compression position, and control). The material used in this study was heat-cured acrylic resin QC-20 brand, non-dental glass fiber (without any brand). Impact strength was tested using an impact testing machine. The data obtained were analyzed using one-way ANOVA test and LSD (p&lt;0.05). In this research the impact strength of the base plate with the addition of fiber increased 8.54 ± 2.21; 13.21 ± 2.34; 16.81 ± 2.80 kJ/m2 compared to that of the control group, i.e. 4.98 ± 1.05 kJ/m2. One-way ANOVA test showed a significant effect (p&lt;0.05) of the fiber orientation variations on the compression position. This research concluded that the addition of nondental e-glass fiber (composed of SiO252.56-56.88%), diameter 17.12–20.03 µm) in the compression zone increases theimpact strength of acrylic resin base plate. Fibers with unidirectional orientationprovides the highest increase in the impact strength of acrylic resin base plate.
Investigation of mineralization in copper-porphyry molybdenum using hydrothermal alternation in northwest region of Iran

Identification and determination of areas with mineral potential is one of the major and important applications of remote sensing in the field of mineral exploration. The aim of the present study was Identification of hydrothermal ultrason region using Landsat multispectral satellite imagery and hyperion hyperspectral imagery. To conduct this research, first the Advanced Space Borne thermal reflection radiometric data and the base metal mapping of the harvest were examined. Using principal component analysis using the key spectral change properties of key minerals, PC 2 enhanced the altered regions. Then we studied the MF spectral library and laboratory spectra of samples in the study area. In this study, two different methods, principal component analysis (PCA) and matched filter processing (MF), were compared and combined for mapping. In both methods, the key properties of changing the range of minerals in the study area were used. The results of the present study showed that from the top of the deposit to the bottom, the type of mineralization is gradually increasing. Chalcopyrite spraying gradually decreases from the depth of the deposit to the outer regions and vice versa, the amount of pyrite spraying increases. In Sungun, the main mineralization of copper in the second (main) stage of the activity of mineralized solutions has taken place, during which chalcopyrite has been extensively left in the form of vessels and sprays in rocks. Molybdenite is formed in a wide range of second stage mineralization processes in several successive phases. In the early processes, this mineral is sprayed and less in the form of veins and in later stages more in the form of veins. Thus, the copper-molybdenum porphyry deposit of Sungun Ahar, with a very high reserve of 7.1 billion tons and an average copper grade of 0.75 ٪ And molybdenite by-mineral in the early 80's will certainly be exploited among the largest copper mines in Iran.
Spatial Based Deep Learning Autonomous Wheel Robot Using CNN

The development of technology is growing rapidly; one of the most popular among the scientist is robotics technology. Recently, the robot was created to resemble the function of the human brain. Robots can make decisions without being helped by humans, known as AI (Artificial Intelligent). Now, this technology is being developed so that it can be used in wheeled vehicles, where these vehicles can run without any obstacles. Furthermore, of research, Nvidia introduced an autonomous vehicle named Nvidia Dave-2, which became popular. It showed an accuracy rate of 90%. The CNN (Convolutional Neural Network) method is used in the track recognition process with input in the form of a trajectory that has been taken from several angles. The data is trained using Jupiter's notebook, and then the training results can be used to automate the movement of the robot on the track where the data has been retrieved. The results obtained are then used by the robot to determine the path it will take. Many images that are taken as data, precise the results will be, but the time to train the image data will also be longer. From the data that has been obtained, the highest train loss on the first epoch is 1.829455, and the highest test loss on the third epoch is 30.90127. This indicates better steering control, which means better stability.