Reviewerly/exHarmony huggingface dataset:
PENEMPATAN DAN PEMILIHAN KAPASITAS TRANSFORMATOR DISTRIBUSI SECARA OPTIMAL PADA PENYULANG PERUMNAS

Some distribution transformers in densely populated areas have a loading percentage of more than 100% and also less than 10%. This problem shows that the use of a distribution transformer is inappropriate. With descriptive, correlational and comparative research methods, it is hoped that it can optimize the placement and capacity selection of distribution transformers. Data were taken from 25 people living in the Pemecutan Kelod and Tegal Harum areas using questionnaires and interviews. The data were tested using the T and Pearson tests to determine the effect of placing the distribution transformer. The results of equalization of the load with the addition of a new distribution transformer and relocation of the distribution transformer capacity to the feeder are expected to get optimal results. The technical solution is obtained with a voltage of less than 10% and a distribution transformer capacity that is in accordance with the growth of the population electrical load. Socially and culturally, for the level of conformity there is an increase in the harmony of the population after the placement of a new distribution substation (t = -7.71 and p &lt;0.05), for the comfort level there is an increase in the comfort of the population after the placement of a new distribution substation (t = -9.57 and p &lt;0.05), and for the level of security there was an increase in the tranquility of the population after the placement of a new distribution substation (t = -8.42 and p &lt;0.05). The relationship between suitability and comfort obtained a very strong relationship (r = 0.90), the relationship between suitability and safety obtained a very strong relationship (r = 0.85), and the relationship between comfort and safety obtained a very strong relationship (r = 0.86).
Best Computer For 3D Modelling

The right computer for intricate actions like 3D modeling could be a difficult pick in the market, noting the numerous computers around and each spiced ...
Significance of Deep learning in Data mining and Machine learning

Deep learning algorithms use an enormous amount of unsupervised data to automatically extract complex representation. These algorithms are largely motivated by the sector of Artificial Intelligence (AI), which has the overall goal of emulating the human brain’s ability to watch, analyze, learn, and make decisions, especially for extremely complex problems. Work concerning these complex challenges has been a key motivation behind Deep Learning algorithms which strive to emulate the hierarchical learning approach of the human brain. Models supported shallow learning architectures like decision trees, support vector machines, and case-based reasoning may come short when attempting to extract useful information from complex structures and relationships in the input corpus. In contrast, Deep Learning architectures have the potential to generalize in non-local and global ways, generating learning patterns and relationships beyond immediate neighbors within the data. Deep learning is actually a crucial step toward AI. It not only provides complex representations of data which are suitable for AI tasks but also makes the machines independent of human knowledge which is the ultimate goal of AI. It extracts representations directly from unsupervised data without human interference.
Upaya meningkatkan hasil belajar kognitif tema benda, hewan dan tanaman di sekitarku menggunakan model pembelajaran take and give berbantuan media flashcard bagi siswa kelas I SD Negeri Maguan

&lt;p&gt;Abstract. the purpose of this research is to understand whether the using of take and give learning model assisted with flashcard media improve the First Class students of Maguan Elementary School, Sub district of Kaliori, Regency of Rembang on the Second Semester of the 2018/2019 Year Academic the cognitive learning result on thematic learning. The subjects of this research are 14 students consist of 7 boys and 7 girls. Independent variable is the take and give learning model assisted with flashcard. Dependent variable is the cognitive learning result on thematic learning. Techniques of collecting data are test and observation. The instruments of collecting data are the test result and sheet of observation. The data analyzing showed the improving of the cognitive learning result on thematic learning. From the Early Condition to the First Cycle and Second Cycle, the learning results improve. The completeness&lt;br /&gt;on the Early Condition is 8 students or 57%, after the learning on the First Cycle the&lt;br /&gt;completeness improve as 11 students or 79%, on the Second Cycle the completeness improve 13 students or 93%. Meanwhile the averages also improve. On the Early Condition, the average is 73,79, improve up to 83 after the action on the First Cycle, then on the Second Cycle improve up to 90,71&lt;br /&gt;Keywords: Learning Outcomes, Take and Give, Flashcard Media.&lt;/p&gt;
Reputation. Glossary of Distributed Technologies.

Reputation in a blockchain-based system is a digital representation of an entity’s standing or status in a specific domain.
STEP BY STEP ESTIMATION OF GLOBAL SOLAR RADIATION BASED ON ANGSTROM MODEL FOR BAUCHI METROPOLIS

ABSTRACTThe knowledge of solar radiation distribution of a particular geographical location is an important tool for the development of many solar energy devices in testing of their performance. Measured data of solar radiation, relative humidity, and minimum and maximum temperatures for Bauchi location (latitudes 9° 3' and 12° 3' north and longitudes 8° 50' and 11° east) was obtained at Agro-weather Station Abubakar Tafawa Balewa University, Bauchi. The analysis of First order Regression for Angstrom model was obtained and the results was compared with that of the solar radiation measured in the months of March, April, May and June. Maximum value was recorded while its minimum is in the months of January, February, October, November and December for both the measured and predicted solar radiation based on temperature. Similarly, the Angstrom model based on relative humidity shows that in the months of June, July, August, September and October solar radiation is maximum while its minimum is in the months of January, February, March and April. The correlation coefficient was obtained using Kolmogoros - smirnov Microsoft excel software, the result shows that all the models are positively and perfectly correlated with correlation coefficient (R²) range (0.615  0.984).
Project Work Breakdown Structure Similarity Estimation Using Semantic and Structural Similarity Measures

Project Work Breakdown Structure Similarity Estimation Using Semantic and Structural Similarity Measures Navid Torkanfar and Ehsan Rezazadeh Azar Pages 1021-1028 (2020 Proceedings of the 37th ISARC, Kitakyushu, Japan, ISBN 978-952-94-3634-7) Abstract: Reusing of the past information and lessons learned helps practitioners in better management of various aspects of construction projects, such as cost estimation, planning, contracting, and design. Measuring the similarity of construction projects improves the efficiency of the existing information systems in retrieval of relevant cases. It was hypothesized that the Work Breakdown Structure (WBS) of projects contains the necessary information to measure the semantic similarity of construction projects; therefore, WBS can be used as a potential representative of the projects. In this research project, a novel method is proposed to assess the semantic similarity of projects by application of natural language processing techniques. In this method, a new project is compared with the documented as-built projects based on their WBS similarity. This method is implemented using two metrics: (1) node similarity that compares the semantics of all nodes in two WBSs; (2) structural similarity which compares the topology of the work breakdown structures. The proposed system calculates a similarity score between 0 and 1 for each metric and the combination of these two scores provides the final similarity score between a pair of WBSs, thus it could rank the similarity of the documented cases to the new project based on their final scores. Experimental results indicated that the structural similarity produced about 15 percent higher degree of retrieval precision than the node similarity. Keywords: Project similarity; Construction project; Work breakdown structure; Natural language processing; Knowledge management DOI: https://doi.org/10.22260/ISARC2020/0141 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley
Foundations of Probabilistic Programming

What does a probabilistic program actually compute? How can one formally reason about such probabilistic programs? This valuable guide covers such elementary questions and more. It provides a state-of-the-art overview of the theoretical underpinnings of modern probabilistic programming and their applications in machine learning, security, and other domains, at a level suitable for graduate students and non-experts in the field. In addition, the book treats the connection between probabilistic programs and mathematical logic, security (what is the probability that software leaks confidential information?), and presents three programming languages for different applications: Excel tables, program testing, and approximate computing. This title is also available as Open Access on Cambridge Core.
03 Dialectics of preschool education in the context of Vygotsky’s cultural-historical theory

There are two ways of understanding child development. The first places emphasis onthe human cultural dimension. The essential component of culture is a system of culturalnorms known as “ideal forms,” wherein the adult acts as a bearer of these ideal forms orculture. From this standpoint, the child acquires already established forms (in this sense,old norms). The second approach is based on understanding the child’s infinite andunlimited capabilities. The realization of such opportunities, due to their unlimitednature, involves going beyond the zone of proximal development. This requiresconceptualizing a different space, oriented to new forms of culture that are not yet inexistence—the space of child realization. The orientation of this space is the opposite tothat of the zone of proximal development: instead of an old norm being acquired (i.e.,the adaptation of the child to their culture) the goal for an adult is, in the space of childrealization, to help the child realize their intent by creating new elements of culture.
Learning Global Representations for Document-Level Biomedical Relation Extraction

Document-level relation extraction is in the face of two challenges: (1) The task contains a large number of cross-sentence relations. (2) The same entity may appear more than once in a document, called mentions of the entity. Most existing systems merely rely on the local context surrounding the mentions (e.g. in a sentence) to classify each mention pair respectively and merging the predictions of all mention pairs to extract the relation between entities. These methods have no advantages in learning semantic information from long-distance context and the approaches of merging multiple entity mentions may lead to information loss. In this paper, we present a novel model based on multi-attention mechanism to learn the global representation for document-level relation extraction. The Global Context-aware Attention (GCA) is proposed to obtain the global semantic information in a document. Meanwhile, the Global Entity-aware Attention (GEA) is employed to integrate the semantic information of all mention pairs. Our model is validated on the BioCreative V Chemical Disease Relation (CDR) dataset which is widely used in the domain of biomedical document-level relation extraction. Experimental results demonstrate that our model is competitive compared to the existing methods.
The Development of Learning Media in the Form of Pop-up Books to Understand Narrative Text

The purpose of this study was to develop learning media in the form of pop-up books to understand narrative text with the title Dunkelrestaurant in the book Netzwerk A2. This research and development uses the ADDIE model with 5 development stages, namely (1) needs analysis, (2) design, (3) development, (4) implementation, and (5) evaluation. The types of data in this study are quantitative and qualitative. The data were obtained from media experts, material experts, observers, and trial subjects. To collect data used instruments in the form of questionnaires and observation sheets. From the results of product validation by media experts, the product feasibility percentage is 90.9 percent, while from the material expert validation results, the product eligibility percentage is 88.8 percent. The product eligibility percentage obtained is included in the valid category, so the product is suitable for use in Deutsch II lectures at the Department of German Literature, State University of Malang. Meanwhile, the results of filling out questionnaires by students and observation sheets during the trial activity showed that the product was very interesting and helped students in understanding the text.
New school culture in the attitudes towards information and communication technology of the students of vocational schools in osijek-baranja county

The development of technology over the last decade has fundamentally changed our daily lives, and consequently the methodological and didactic approach to the teaching process. The intensive development of information and communication technologies has introduced significant changes in the teaching processes in recent decades and focuses teaching methodology on issues of approaching e-learning and changes in teaching and learning to adapt teaching to the present requirements and opportunities. To satisfy the requirements of the contemporary school, culture can be interpreted as "historical creation (of the people) expressed through material and spiritual achievements, production, styles and ways of working – to put it simply a kind of wisdom of living" (Previšić, 2010, p. 170). This is exactly what the application of modern information and communication technologies offers for teaching and learning the English language as a foreign language. One of the important segments of the culture of the contemporary school is the teaching process, which must first of all be modern and innovative. The research aimed to examine the attitudes of the students of the vocational schools in Osijek-Baranja County towards information and communication technology in learning and teaching. The data were collected through a questionnaire and it was found that respondents are very positive about the use of information and communication technologies in learning and teaching, but they are also aware of some of the pitfalls that technology brings.
Forecasting the Diffuse Solar Radiation by using a New Modeling over Saudi Arabia

Within the arranging and execution assessment of solar energy projects, particularly within the planning and estimation of solar photovoltaic sources as elective energy sources within the future, exact evaluation of Diffuse Solar Radiation (DSR) is one of the essential and basic issues.The target of this article is to use the new model to predict DSR in four different locations in Saudi Arabia.The author explored the available meteorological and radiation data.The data covers the 25 years from 1990 to 2014 and were measured at Al-Baha, Abha, Jeddah and Taif locations in Saudi Arabia.Through detailed statistical evaluation and analysis, 19 empirical models were tested to construct the best empirical model to estimate the monthly average daily DSR of Saudi Arabia.Using widely used statistical errors, namely MBE, MPE, RMSE, U95, R, t-test and GPI the proposed correlation model was compared with 19 models provided in the literature.Through this analysis, the cubic empirical equation model is selected as the good model.Compared with these existing models, this model reveals accurate results with minimal statistical errors.Based on these results, Model 22 gives the highest GPI value.The conclusion is the cubic equation model of the diffusion fraction (i.e., D/G = 0.215+2.123(S/So) -3.547(S/So) 2 +5.142 (S/So) 3 is the best agreement model that has been mentioned in the previous discussion.This model is a generalized equation in Saudi Arabia, which can forecast the monthly average daily diffuse radiation on the horizontal plane at any site under similar climatic conditions without the measured climatic conditions.Experts or architects can use this model to perform site selection and technical and financial evaluation of solar energy applications and photovoltaic technology.
The Concept of Artificial Intelligence

Computers are designed to act like humans in this branch of computer science. Artificial intelligence encompasses games, advanced devices, neural networks, the language of design, and robotics. There are actually no machines with full artificial (that is, they can mimic human behaviour) intellect. In the field of play, the biggest developments have taken place. The best programs in computer chess can now beat people. Neural networks are now the hottest artificial intelligence field and have shown progress in several areas such as voice recognition and computation in the natural language. AI languages are renowned for the fact that they are almost entirely used for AI apps. LISPand Prolog are the two most widely encountered. Artificial intelligence works a lot to reduce human activity, but to reduce production.
ВИРТУАЛЬНАЯ РЕАЛЬНОСТЬ КАК НОВОЕ СОЦИАЛЬНОЕ БЫТИЕ

Existence and related issues are always in the focus of scientists. The reason is the peculiarities of being and the existence of its various forms. Virtuality is one such form. We often come across the term virtuality in science today. So, this concept is relevant both in philosophy and in other areas. In this regard, there is a need to study the meaning of the concept of virtuality and its roots. This article presents the etymology of the term virtuality and its meaning in modern science.
Seismic Soundoff

In this episode, Andrew Geary speaks with Stephen Hill about his new book, Illustrated Seismic Processing, Volume 2: Preimaging. Hill shares why the authors decided to present the seismic processing topics in reverse order, tips for seismic interpreters and acquisition specialists who work alongside seismic processing geophysicists, and why seismic processing is both an art and a science. Hear the full episode at https://seg.org/podcast/post/12383 .
Hubungan Kepercayaan Diri Siswa dengan Hasil Belajar PAK Kelas VII Di SMP Negeri 4 Sumbul Kabupaten Dairi Tahun Ajaran 2020/2021

AbstrakPenelitian ini bertujuan untuk mengetahui besarnya hubungan Kepercayaan Diri Siswa Dengan Hasil Belajar PAK Di Kelas VII SMP Negeri 4 Sumbul Kabupaten Dairi Tahun Pembelajaran 2020/2021, dengan hipotesis terdapat hubungan yang positif dan signifikan antara Kepercayaan Diri Siswa Dengan Hasil Belajar PAK Di Kelas VII SMP Negeri 4 Sumbul Kabupaten Dairi Tahun Pembelajaran 2020/2021. Penelitian ini menggunakan pendekatan kuantitatif deskriptif inferensial, dengan populasi seluruh siswa kelas VII SMP Negeri 4 Sumbul yang berjumlah 86 orang dengan sampel berjumlah 65 orang. Data dikumpulkan dengan angket tertutup sebanyak 31 item yang disusun oleh penulis berdasarkan indikator variabel sesuai teori ahli. Uji coba angket dilakukan kepada 21 siswa yang bukan responden penelitian, dan telah diuji validitas dan reliabilitasnya. Hasil analisis data menunjukkan bahwa terdapat hubungan yang positif dan signifikan antara Kepercayaan Diri Siswa Dengan Hasil Belajar PAK Di Kelas VII SMP Negeri 4 Sumbul Kabupaten Dairi Tahun Pembelajaran 2020/2021 dengan koefisien korelasi rhitung rtabel atau 0,612 0,244 dan uji signifikan hubungan diperoleh thitungttabel sebesar 6,148 2,000, dengan demikiandapat disimpulkan Ho ditolak dan Ha diterima .Katakunci : Hasil belajar, Kepercayaan diri Abstract This study aims to determine the magnitude of the relationship between Student Confidence and PAK Learning Outcomes in Class VII Sumbul, Dairi District, 2020/2021 Learning Year, with the hypothesis that there is a positive and significant relationship between Student Confidence and PAK Learning Outcomes in Class VII SMP Negeri 4 Sumbul Regency. Dairi Academic Year 2020/2021. This study used an inferential descriptive quantitative approach, with a population of all students of class VII SMP Negeri 4 Sumbul, totaling 86 people with a sample of 65 people. Data were collected using a closed questionnaire of 31 items compiled by the author based on variable indicators according to expert theory. Questionnaire trials were conducted on 21 students who were not research respondents, and had tested their validity and reliability. The results of data analysis show that there is a positive and significant relationship between Student Confidence and PAK Learning Outcomes in Class VII SMP Negeri 4 Sumbul Dairi Regency 2020/2021 Learning Year with a correlation coefficient r count r table or 0.612 0.244 and a significant correlation test is obtained t count t table of 6, 148 2,000, thus it can be concluded that Ho is rejected and Ha is accepted.Keywords: Learning Outcomes, Self-Confidence
ANALISIS CLUSTERING UNTUK MENGETAHUI TINGKAT POTENSI TANAMAN KELAPA SAWIT BERDASARKAN LUAS TANAMAN MENGGUNAKAN ALGORITMA K-MEANS PADA BADAN PUSAT STATISTIK SUMATERA UTARA

Palm oil is an important plantation commodity plant in Indonesia, to know the number and level of potential oil palm plants need to be grouped into several groups. With the support of technological development, the ability to collect and process data is also growing. Data mining, often also called knowledge discovery in database (KDD), is an activity that involves collecting, using historical data to find regularities, patterns or relationships in large data sets. The output of data mining can be used to improve future decision making. To be able to find out the potential level of oil palm garden based on plant area from each regency in North Sumatra, a system was made to determine the level of oil palm crop production using the K-maens Clustering Algorithm Thus the results of the research are expected to help the North Sumatra Province Central Statistics Agency and in particular the North Sumatra Plantation Office to find out which areas produce the potential level of palm oil production by district.
Identifikasi Mutu Buah Pepaya California (Carica Papaya L.) Menggunakan Metode Jaringan Syaraf Tiruan

Papaya is one of the fruits that grows in the tropics area, one of the kinds that people’s love the most is papaya California. The quality identification of papaya California fruit can be measured using color, defect, and size. Color, defect and size extracted from image of papaya. The dataset that used in this research are 150 images papaya California. The dataset consist of 3 quality there are good, fair and low. Identification of papaya using the backpropagation neural network method with 17 training function in each training data with 3 different neurons in the hidden layer. The best result of the test is using training function trainrp with 10 neurons is 81,33% for accuracy, 73,37% for precision, and 72% for recall, with 20 neurons is 82,67% for accuracy, 75,24% for precision, and 74% for recall, and with 25 neurons is 80,89% for accuracy, 74,42% for precision, and 71,33% for recall.