Reviewerly/exHarmony huggingface dataset:
LEAD AND ZINC DEPOSIT FORMATION CONDITIONS WITHIN ANGARA-BOLSHEPITSK MINERAGENIC ZONE, YENISEI RIDGE

The paper shows the main characteristics for geological and associated ore formations in the Tungusik formation complex. Ore formation deposit types and ore field types in the region are identified and described. Based on the identified lithofacies, the paleoenvironment of stratiform ore associations formation is characterized. The role of metamorphism and structural factors affecting prospecting conditions are shown. The relationship between the mineral type of ores and organic carbon content in ore-bearing strata for various geological and economic types has been revealed. The obtained and generalized data are of practical interest in designing forecasting/prospecting deposit models and improving prospecting efficiency.
The Effect of Multiliteracy Learning on Mathematical Literacy Skills of Elementary School Students

This research is motivated by the results of observations of researchers who showed that elementary school students on average were not used to receiving questions of mathematical literacy, so their abilities were low. The purpose of this study was to obtain a comprehensive picture of the effect of multiliteration learning on students' mathematical literacy abilities. The research method used was quasi-experimental research with a nonequivalent control group design. The sampling technique used was purposeful sampling with a sample size of 60 students, consisting of 30 experimental group students and 30 control group students. Data collection methods used in this study are observation sheets, tests (open-ended questions), and documentation. The data obtained were analyzed using parametric statistical test, namely t-test. The results of data analysis show that the significance level is 0,0005 <0,005, so the hypothesis is accepted, so it can be stated that there are significant differences in students' mathematical literacy skills between students who take multiliteration learning and direct learning with = 0,005 and df = 58. The application of multiliteration learning can be used as a way to improve the mathematical literacy skills of elementary school students
Human activity recognition using SVM and deep learning

Human activity recognition is one among the foremost vital rising technology Principle parts from the body parts territory are utilized for human movement acknowledgment to scale back spatial property A multi scale delineation human action acknowledgment is done to save the segregate data before spatial property decrease This paper could be a human action Recognition system for identification of person It takes input a video of COVID-19 patients and searches for a match within the hold on pictures This method is predicate d on Gabor options extraction mistreatment Gabor filter For feature extraction the input image is matching with Gabor filter and further personal sample generation formula is employed to pick out a collection of informative and non redundant Gabor options DNN (Deep learning Models) is used for matching the input human action image to the hold on pictures This method is used in hospital management application for detecting the COVID-19 patient activity from surveillance cameras By using the SVM and deep learning the human activity is recognized using matlab tool
Unavoidable Trends : From Merchant Lock-in to the Meta Cloud

The cloud computing paradigm has achieved widespread adoption in recent years. Its success is due largely to customers’ ability to use services on demand with a pay-as-you go pricing model, which has proved convenient in many respects. Low costs and high flexibility make migrating to the cloud compelling. Despite its obvious advantages, however, many companies hesitate to “move to the cloud,” mainly because of concerns related to service availability, data lock-in, and legal uncertainties.
Quantum and Translation Embedding for Knowledge Graph Completion

Knowledge Graph Completion (KGC) mainly devotes to link predicting for an entity pair in Knowledge Graph (KG) according to known facts. In this work, we present a novel model for this end. In this model, Quantum and Translation Embedding are used as components for logical and structural feature capturing in the same vector subspace, respectively. The two components have synergy with each other and achieve impressive performance at low cost which is close to the efficient model TransE. Surprisingly, the performance on challenging datasets such as fb15k237 and WN18RR is up to 94.89% and 92.79% in metric Hits@1 while the dimension of embedding is only 4 in the process of training. The insight of this work enlightens the notion of dense feature model design for KGC which is a new alternative to Deep Neural networks (DNN) in this task or even a better choice.
Detection of Fraudulent Behavior in Water Consumption using ARIMA Model

Companies that supply water face numerous issues when customers deceit the organization by involving in fraudulent activities. It is a challenging task for the company to figure out the culprit. There has been constant research going on to resolve the issue, and here we stress upon a more profound level to support the companies. So, this particular model assists in finding out the behaviour of the customers. The research focuses principally on forecasting techniques where an algorithm called ARIMA is used to detect the behaviour. By applying this time series algorithm, it exhibits accurate results and improves efficiency, thereby improving the revenue and reducing the non-technical loss of the company. Keywords: Time Series, Water Consumption, forecasting, ARIMA Model
Development of a Social Studies Learning Module Based on a Contextual Tearcing and Learning Approach for Grade IV Students of SDN 19 Tanjung Durian, Bayang District, Kab. Pesisir Selatan

A MODULE OF IPS LEARNING DEVELOPMENT BASED ON A CONTEXTUAL TEACHING AND LEARNING APPROACH FOR STUDENTS OF CLASS IV SDN 19 TANJUNGDURIAN KECAMATAN BAYANGDISTRICTS. SOUTH BEACH Trymal Akhwan Mulya1.Muslim tawakal 1.Wirnita Eska1Primary School Teacher Education Study ProgramFaculty of Teacher Training and EducationBung Hatta Universitye-mail: trymalakhwanmulya@gmail.comABSTRACTThis study aims to produce a social science learning module based on the contextual teaching and learning approach in grade IV SD Negeri 19 Tanjung Durian that meets the valid criteria. This type of development research is a 4-D development model, namely: define, design, develop and disseminate. In this study, only up to the resistance to develop (development) due to time constraints. This research is only limited to validation due to limited conditions, this research was conducted in the odd semester of 2020/2021 with the material of Hindu and / or Buddhist and / or Islamic kingdoms. The research instruments included a validity sheet. In the validation process, the media was validated by 1 material expert , 1 design expert and 1 linguist. Based on the results of research on the development of a social studies learning module with a contextual teaching and learning approach, it was produced a valid module with an assessment percentage of 85.86%. So, it can be concluded that the Social Science learning module is valid as one of the learning modules in elementary schools.Keywords: Learning Media, Social Sciences, Contextual Teaching and Learning
Formatting a Reference List for Education Projects: Problem Statement

The paper poses the problem of equipping young researchers with the necessary skill of formatting a reference list in accordance with the stated requirements for its design. The process of developing a skill entails principles of consistency and coherence, natural conformity, feasibility, involvement, as well as the so-called activity approach. The described methodology involves: analysis of scientific, academic and official sources; random sampling in order to obtain material through open network resources; analysis and synthesis of the obtained empirical data. It is concluded that there is a need for students to be gradually and systemically familiarised with this activity from early adolescence.
Efektivitas Metode Tutor Sebaya dalam Meningkatkan Keterampilan Membuat Desain Papertoy Menggunakan Aplikasi Coreldraw Bagi Siswa Tunarungu

This research begins with the findings of teacher failure in learning skills when teaching students to make paper toy designs. Where the teacher is too focused on teaching one student, causing other students to be less able to make paper toy designs. This study aims to ascertain the teacher's failure and find a way out by increasing the ability to make paper toy designs and increase the social interaction of deaf students. This study uses an experimental method with a Pre-Experimental design. The design used is a single group pretest and posttest. This method is used to see whether the peer tutor method can improve students' skills in making paper toy designs using the Coreldraw application in Perwari Padang SLB. In this study the subject of the study was deaf students of class X in SLB Perwari Padang, amounting to five people. The results of this study indicate that the ability of the paper toy design skills of deaf students to obtain positive results. Based on data processing using the Mann Whitney Test, it was stated that the peer tutoring method was effective in improving paper toy design skills using the Corel Draw application for deaf students at SLB Perwari Padang
Aspek Kepribadian Tokoh Utama Dalam Novel Luka Karya Fanny J. Poyk Tinjauan Psikologi Sastra dan Relevansinya Sebagai Bahan Ajar di SMA

This study aims to (1) Describe the Structure of the novel Luka by Fanny J. Poyk. (2) Describe the personality aspects of the main character in the novel Luka by Fanny J. Poyk. (3) Describe the relevance of aspects of personality in Fanny J. Poyk's wound novel as teaching material for Indonesian literature in high school. This type of research is a qualitative descriptive study. The data contained in this study are in the form of words, sentences, quotes on novels. Data collection techniques in this study used the technique of listening, and note it down. The validity of the data used is theoretic triangulation and data triangulation. The results of the main character's research are Nyoman and additional figures, Tina, Made Liani, Wayan Darta, Nirmala, Adnyana, Wayan Gunarsa, Liani's parents, Nyoman's parents, and Eileen. The setting is in Bali and America, the setting took place in 1992, the social setting of Luka's novel Foy J. Boyk Nyoman has some of the treasures given by Eileen. Personality aspects in the novel Luka by Fanny J. Boyk divide into three theories namely, 1) Personality aspects of the main character (Nyoman) based on id. 2) The personality aspect of the main character (Nyoman) is based on the ego. 3) The personality aspect of the main character (Nyoman) is based on the Superego. This research is relevant as teaching material in class XI high school in KD 3.9. analyze the content and language of the novel and KD 3.11. analyze messages from a fiction book that is read.
Análisis de emergencias médicas con técnicas de Inteligencia de Negocios

Popularity and data analysis capabilities offered by Business Intelligence techniques are increasing day after day. Nowadays, in which respects to public health, even though there is a great volume of data available, they are generally not exploited using data visualization tools.  Paper proposes the implementation of Business Intelligence techniques to unify and consolidate data of interest into a DataWarehouse, in order to create various statistical reports through data exploitation tools that allow a real data-based decision making process. It is also shown how the quality of the data input into the transactional systems affects the data analysis.
Penerapan Jaringan Wireless Pada Desa Saentis Kabupaten Deli Serdang

Among the village administration, especially in Desa Saentis, the internet is a very important need in serving the community which is used as a medium for information exchange and direct communication with the community from a distance. However, the convenience of the internet is not really felt among the village government in the village of Percut Sei Tuan, apart from the internet network that is not supportive, the community service process is still completely manual, it is hoped that with a wireless network system connected to the internet it can serve the community through a website that will be provided by the government village. It is hoped that later the community around the Seantis Village Office can enjoy an internet connection and become an internet literate village and become a smart village with increasingly rapid technological developments. And the future benefit is that the village is expected to become a pilot village in Deli Serdang district by utilizing an internet connection to share information with the general public.
Technical Analysis on Age Invariant Face Recognition

Presently, age invariance face recognition is an ongoing research topic with various potential applications. Face recognition under different intra-individual varieties, for example, demeanors, posture and impediment has been given satisfactory consideration in examination documented. In any case, age invariance confront acknowledgment still faces numerous difficulties because of age related natural changes in nearness of other appearance varieties. This  paper  surveys  the  prominent published  literatures to  analyze  and  summarize  the  work done   so   far   on   age   invariant   face   recognition   and  to evaluate  them  on  various  scales  and performances.
Translation Analysis of Clause Complex Shifting on Children Literature

This research belongs to descriptive qualitative research, which describes the data as a real phenomenon, because it fulfils five axioms of qualitative research. The objective of this research is to find clause complex switch from Source Language to Target Language in a bilingual story for children “ Kumpulan Dongeng Motivasi : Stories of Great Virtues.” Clause complex is clause which has two or more processes. On this paper, the researcher analysed entire clauses complexes and their switch from the source into target language. Then, the researcher analysed translation techniques which are used and the translation quality. The result of the study shows that the researcher has found 5 categories of clause complex shifting; A. Complex to Complex (no shifting), B. Complex to Complex with clause reduction, C. Complex to Complex with clause addition, D. Complex to Simplex with single clause, and E. Complex to Simplex with more than one clauses. From the translation point of view, the researcher found that the most translation techniques used by the translator are establish equivalent (71%), Pure Borrowing (8%), and Modulation (5%). These translation techniques affect the complex clause shifting as mentioned before. The translation quality of this book reaches more than 2,90 of 3. It means that the translator successfully translated all of the stories in this children literature book in high level of accuracy, acceptability, and readability. This phenomena shows that translation techniques are really matter to guide the translation on the right track.
Improved pedestrian detection by adjustment of segmented ROI in thermal night vision

In this work we present an analysis of the region of interest (ROI) generation from the source thermal night vision images through the double thresholding segmentation technique as a part of pedestrian detection procedure. In some cases, pedestrians do not fit into the generated ROIs. To solve the problem we propose to adjust (slightly enlarge) the segmented ROI. Through this, it is possible to reduce miss rate for the aggregated channel feature (ACF) classifier from 29.1% to 24.8% and for the deep convolutional neural network (CNN) classifier from 24.0% to 22.4%, with negligible impact on the processing time.
Determination of Optimal Public Transportation Routes Using Firefly and Tabu Search Algorithms

Traffic congestion problems generally caused by the increasing use of private vehicles and public transportations. In order to overcome the situation, the optimization of public transportation’s route is required particularly the urban transportation. In this research, the performance analysis of Firefly and Tabu Search algorithm is conducted to optimize eleven public transportation’s routes in Bandung. This optimization aims to increase the dispersion of public transportation’s route by expanding the scope of route that are crossed by public transportation so that it can reach the entire Bandung city and increase the driver’s income by providing the passengers easier access to public transportations in order to get to their destinations. The optimal route is represented by the route with most roads and highest number of incomes. In this research, the comparison results between the reference route and the public transportation’s optimized route increasing the dispersion of public transportation’s route to 60,58% and increasing the driver’s income to 20,03%.
Multi-support Vector Machine Based Dempster-Shafer Theory for Gesture Intention Understanding

The Dempster-Shafer (D-S) theory based on multi-SVM to deal with multimodal gesture images for intention understanding is proposed, in which the Sparse Coding (SC)Sparse Coding (SC) based Speeded-Up Robust Features (SURF)Speeded-up Robust Features (SURF) are used for feature extraction of depth and RGB image. Aiming at the problems of the small sample, high dimensionality and feature redundancy for image data, we use the SURF algorithm to extract the features of the original image, and then perform their Sparse Coding, which means that the image is subjected to two-dimensional feature reduction. The dimensionally reduced gesture features are used by the multi-SVM for classification.
Providing educational services in secondary school: an excursion to the development of socio-cultural civilization

The authors analyze the provision of educational services to pupils in socioculturalcivilization, developed by N. Golovanova in the section of scientific work Paradigms of Pedagogy. Concepts of education, (educational) process, development, education, humanism kind of paradigm are substantiated there. Scientists conduct a retrospective review of the pedagogical paradigms changes from the Middle Ages of Socrates to the twentieth century of J. Komensky and K. Ushinsky.
Artificial Intelligence in Deepfake Technologies Based on Supply Chain Strategy

It is highly impossible to differentiate between verified and fake media news and updates with modern emerging technology. The creation of deeper fake photos and videos which use artificial intelligence (AI), that shows someone saying and doing things that never did in reality, is one of the recent innovations that contribute to it. Concentrated depths will easily hit millions of citizens and affect adversely our culture, along with their accessibility and pace of social networking. This paper analyses a variety of widely accessible internet news stories, while literature on this subject is scarce, in order to explore the depths, and who creates them, how deep technological advantages and risks are, which example of deepfake occur and how the depths are to be gauged. We will use qualitative research methodology to gather the available information and based on the findings, in the end, we will conclude the discussions along with recommendations.
Reusable Phrase Extraction Based on Syntactic Parsing

Academic Phrasebank is an important resource composed of neutral and generic phrases for academic writers. In this paper, we name these neutral and generic phrases reusable phrases, and student writers use them to organize their research articles. Due to the limited size of Academic Phrasebank, it can not meet all the academic writing needs. There are still a large number of reusable phrases in authentic research articles. In order to make up for the deficiency of Academic Phrasebank, we proposed a reusable phrase extraction model based on constituency parsing and dependency parsing to automatically extract reusable phrases from unlabelled research articles. We divided the proposed model into three main components including a reusable words corpus module, a sentence simplification module, and a syntactic parsing module. We created a reusable words corpus of 2129 words to help judge whether a word is neutral and generic, and created two datasets under two scenarios to verify the feasibility of the proposed model.
High-Dimensional Grid-based Clustering for Multispectral Satellite Image Segmentation

The paper considers the problem of optimal data structure choice for grid-based clustering algorithms in high dimensional case. A special data structure is proposed that stores only non-empty cells avoiding large memory costs. The comparison results of the proposed method with the direct use of a hash table on multispectral satellite images are presented. They demonstrate a great advantage of the developed method in memory costs with comparable computation time.
일본의 개방형 혁신전략: 산학협력을 중심으로(Open Innovation in Japan: Focusing on Cooperation between Businesses and National Universities)

일본의 혁신생태계는 최근 상당한 변화를 보이고 있다. 일본 혁신생태계를 구성하는 핵심 주체들의 행동양식이 과거와는 사뭇 다른 양상을 보이고 있기 때문이다. 대기업들은 전통적인 폐쇄형 혁신체제를 벗어나서 외부의 혁신주체들과 협력적인 관계를 통해 새로운 기술과 사업영역을 확보하려 노력하기 시작하였다. 이러한 변화가 구체적인 성공사례로 이어질지 예단할 수는 없지만, 일본기업들이 적어도 과거와 같은 ‘자사중심주의(自前主義)’를 극복하고자 하는 것만은 틀림없다. In this study we examine the current state of industry-academic cooperation conducted at Japan’s national universities and government policies to support these cooperation programs, also analyzing cases of industry-academic cooperation by major national university foundations (the University of Tokyo, Osaka University, Kyoto University, and Kyushu University). Cooperation between businesses and universities is on the rise within Japan, centered on joint research projects and venture incubator programs at universities. According to data released by Japan’s Ministry of Economy, Trade and Industry, a total of 2,278 new venture companies were formed on university campuses in the year of 2018 alone. How can we explain the recent rise in active cooperation between businesses and universities in Japan? To formulate a comprehensive answer to this question, this study examines policy efforts by the Japanese government, measures taken to reorganize industry-academic cooperation systems at universities, and changes in innovative strategies adopted by businesses.
Quick Phase Identification for Dense Seismic Array with Aid from Long Term Phase Records of Co-located Sparse Permanent Stations

The phase identification and travel time picking are critical for seismic tomography, yet it will be challenging when the numbers of stations and earthquakes are huge. We here present a method to quickly obtain P and S travel times of pre-determined earthquakes from mobile dense array with the aid from long term phase records from co-located permanent stations. The records for 1 768 M ≥ 2.0 events from 2011 to 2013 recorded by 350 ChinArray stations deployed in Yunnan Province are processed with an improved AR-AIC method utilizing cumulative envelope and rectilinearity. The reference arrivals are predicted based on phase records from 88 permanent stations with similar spatial coverage, which are further refined with AR-AIC. Totally, 718 573 P picks and 512 035 S picks are obtained from mobile stations, which are 28 and 22 times of those from permanent stations, respectively. By comparing the automatic picks with manual picks from 88 permanent stations, for M ≥ 3.0 events, 81.5% of the P-pick errors are smaller than 0.5 second and 70.5% of S-pick errors are smaller than 1 second. For events with a lower magnitude, 76.5% P-pick errors fall into 0.5 second and 69.5% S-pick errors are smaller than 1 second. Moreover, the Pn and Sn phases are easily discriminated from directly P/S, indicating the necessity of combining traditional auto picking and integrating machine learning method.