Reviewerly/exHarmony huggingface dataset:
Electronic resources as a means of constructing the learning environment of a children's art school

The article presents a model of personalized mixed learning for the implementation of programs of general additional education in the field of fine arts. This model is presented through the metaphor of the “space of opportunities”, in which the student can choose their own educational trajectory and ways to achieve educational goals. The structure of the personalized educational space is slated, the role and place of information and communication technologies in the implementation of personalized education are considered. The key elements of the model presented by us were goal-setting, criteria-based evaluation of the results of educational activities and the use of information and communication technologies. Within the framework of the proposed approach to goal-setting, the transition from simple knowledge and skills to more complex ones is carried out, as well as the synthesis of mental operations with a specific application and creative rethinking of the acquired knowledge. Criteria-based evaluation is intended to provide high-quality feedback. It is carried out on the principles of equality; personalization; clarity of criteria; evaluation of the result, not the activity of the child in the lesson; continuity. The main characteristics of the presented model are: level-based, result-oriented, interactive, and variable.
Human-In-The-LoopEntity Linking for Low Resource Domains

Entity linking (EL) is concerned with disambiguating entity mentions in a text against a knowledge base (KB).To quickly annotate texts with EL in low-resource domains and noisy text, we present a novel Human-In-The-Loop EL approach.We show that it greatly outperforms a strong baseline in simulation.In a user study, annotation time is reduced by 35 % compared to annotating without interactive support; users report that they strongly prefer our new approach.An open-source and readyto-use implementation based on the text annotation platform INCEpTION 1 is made available 2 .
Culturally Responsive Teaching

Twenty-first century teachers face challenges across many disciplines. Teachers are tasked with added roles: resource provider, instructional specialist, learning facilitator, mentor, school leader, and lifelong learner (U.S. Department of Education 2017). Equipping teachers with new learning trends is paramount to student success. Research indicates that the best way to increase student achievement is to have qualified teachers with specialized skills (Sparks and Killion 2007; Gay 2013). Teachers need to cultivate an understanding of cultural diversity in the classroom to effectively promote engagement. This paper will discuss culturally responsive teaching and multiple strategies for preparing teachers with a culturally responsive skills toolbox.
TEACHERS’ CONTINUOUS PROFESSIONAL DEVELOPMENT AND EDUCATION QUALITY IMPROVEMENT

Nowadays all the countries have the policy for developing human capital and, consequently, pay a lot of attention to its core components: education at all the levels from the kindergarten to continuous professional development at the workplace. This means that educators at all the levels should follow the latest developments in the field of education, for which their continuous professional development is a must.The need for constant professional development of educators is determined by a number of factors. Firstly, many societies and, as a result, education systems are undergoing a new stage of change. Secondly, changes in the education systems and educational values lead to rapidly changing educational paradigms, from teachercentered to student-centered learning. Thirdly, there are a lot of new trends in education, i.e. inclusiveness, application of CLIL, STEM etc.
Re-Entangling Design and Science Fiction: The Case of Daleko

The present article discusses how speculative design relates to technoscientific extrapolation, an important science fiction feature, to plan for potential scenarios and prototype viable models of futurity. Through it, the paper outlines some important nuances between different approaches concerning speculative design’s role, considering their particular epistemological assumptions. A specific case is presented and discussed: Daleko (2020), a project developed for the Strelka Institute’s Terraforming program. This project consists of nine science fiction pieces that entangle issues of waste management, technical infrastructure, and climate politics, discussing the problematic conception of waste as a form of externality and imagining future scenarios for managing it through a more holistic perspective. By analysing Daleko’s approach to speculative design, in its final section the article suggests further developing speculative projects in contexts of design education. This would serve towards stimulating designers to ponder how their craft relates to anthropogenic impact and how it can play a decisive role in prospecting more viable future scenarios.
Outside Computation with Superior Functions

We show that a general algorithm for efficient computation of outside values under the minimum of superior functions framework proposed by Knuth (1977) would yield a subexponential time algorithm for SAT, violating the Strong Exponential Time Hypothesis (SETH).
Analisis Forensik Digital Memori Volatile untuk Mendapatkan Kunci Enkripsi Aplikasi Dm-Crypt

Disk encryption technology is something very useful in securing data. On the other hand, disk encryption can be used by criminals to hide the digital evidence. The information in the disk will be very useful for the investigation, but if the disk on the computer evidence encrypted then it will hamper the investigation process. The conditions will certainly be a challenge for investigator cybercrime to be able to find the disk encryption key, especially if the perpetrator did not cooperate in the investigation process. The analysis of the image memory to get the encryption key will be helpful in the investigation. In the overall memory activity on the computer evidence will be recorded, using a live image memory dump on the computer evidence, the decryption keys can be recovered. This paper will discuss about forensic analysis to getting the disk encryption key on the dm-crypt is used to encrypt the disk on Linux operating system and prove that through forensic image memory on a live memory dump, key dm-crypt disk encryption can be found with a success percentage of 80%. On this paper the research will be focused on the Linux operating system with dm-crypt function to full disk encryption.
An Amplified Approach towards Text Summarization Blueprint using Python

Summarization is considered to be one of the most dynamic research in the field of Natural Language Processing. Despite the fact that the historical backdrop of text summarization goes back to 1950s, a lion's share of exploration revolves around extractive summarization in which we select a few sentences from the input data as the outline. Abstractive Summarization is considered as nearer to human style, yet it lacks the consideration from the network throughout the years because of its trouble and intricacy. With the advancement of Deep Learning recently, numerous excellent outcomes are seen in different fields, going from Computer Vision towards Natural Language Processing. Utilizing Deep Learning for Text Summarisation has additionally yielded promising outcomes in as of lately published papers. A methodology for producing short and exact summaries for long content data is proposed. Lately, the size of data on the web is expanding. It has gotten intense for the clients to delve into the heaps of data to break it down and draw conclusions. Text Summarization tackles this problem by creating an outline, choosing sentences which are generally significant from the document without losing the information. In this work, a methodology for Text Summarization is structured and executed for single-document summarization. It utilizes a blend of Seq2Seq (encoder-decoder framework for Tensorflow) and Natural Language Processing to choose significant sentences from the content, despite everything keeping the summary relevant and lossless. This research paper presents our investigation on Text Summarisation and shows the planned methodology to conquers the issue of text overloading by producing a fruitful summary. Notwithstanding there are a few restrictions, our work, in any event, gives more guide to other future research in this field. Our findings and results not exclusively can be applied to Text Summarization problems yet additionally for other comparative research such as image caption generation, machine translation or spoken dialogue generation.
GEOMORPHOLOGY, CHARACTERISTICS AND MINERALOGY OF SOME SOILS IN EL-FARAFRA OASIS, NEW VALLEY GOVERNORATE, EGYPT

The studied area belongs to El-Farafra Oasis, New Valley Governorate. It is representing an area of about 372062 feddans. The aim of this work was to study the geomorphology, characteristics and mineralogy of some soils in El-Farafra Oasis, New Valley governorate, Egypt. Visual interpretation of 2 sentinel images and digital elevation model (DEM) were used to produce the geomorphic units and soil maps of the studied area. Two geomorphic units were identified namely plateau and depression floor. Eighty-two minipits and eighteen soil profiles were chosen to represent the main soil mapping units in the studied area. Soil samples were collected from the representative soil profiles for physical, chemical and mineralogical analysis. The results could be summarized as follows:X-ray diffraction analysis indicated that kaolinite is alternatively dominated in the studied soils (about 80 %) followed by smectite. Illite, interstratified minerals and chlorite are found as the lowest abundant clay minerals in these soils.The mineralogical composition of the sand fraction indicated that, the light fraction is composed almost entirely of quartz which constitutes about 95%. Feldspar minerals (orthoclase plagioclase and microcline) are detected in trace amounts. The presence of feldspars indicates that, the soils are young from the pedological point of views.Heavy minerals are generally dominated by opaque’s (about 55 %). Non-opaques are mainly dominated by pyroboles (pyroxenes + amphipoles) followed by ultra-stable minerals (zircon, rutile and tourmaline), Para metamorphic minerals (garnet, kyanite, staurolite, silimanite) and epidote. While the other minerals (biotite andalusite, glaucohite and apatite) are detected in less pronounced amounts.Distribution of the resistant minerals (biotite and amphipoles) weathering ratio, values indicate that, the soils are generally heterogeneous either due to their multi-origin or due to a subsequent variation along the course formation.
Distantly Supervised Transformers For E-Commerce Product QA

We propose a practical instant question answering (QA) system on product pages of ecommerce services, where for each user query, relevant community question answer (CQA) pairs are retrieved.User queries and CQA pairs differ significantly in language characteristics making relevance learning difficult.Our proposed transformer-based model learns a robust relevance function by jointly learning unified syntactic and semantic representations without the need for human labeled data.This is achieved by distantly supervising our model by distilling from predictions of a syntactic matching system on user queries and simultaneously training with CQA pairs.Training with CQA pairs helps our model learning semantic QA relevance and distant supervision enables learning of syntactic features as well as the nuances of user querying language.Additionally, our model encodes queries and candidate responses independently allowing offline candidate embedding generation thereby minimizing the need for real-time transformer model execution.Consequently, our framework is able to scale to large e-commerce QA traffic.Extensive evaluation on user queries shows that our framework significantly outperforms both syntactic and semantic baselines in offline as well as large scale online A/B setups of a popular e-commerce service.
Shading Effect of a South Building on The Solar Collector Aperture.(Dept.M)

In the present work, the shading effect of a south building on the aperture of a solar device in the north latitudes is theoretically investigated. A mathematical model to calculate the instantaneous value of shaded area as a function of building horizontal distance, neight, width and the angle of deviation from south direction as well as aperture dimensions has been obtained. The shading factor, which is the ratio between the actual total incident solar radiation and that without shading on the aperture, has been calculated for different geometrical parameters. The annual average shading factor, which may be considered as a reasonable measure of the shading effect is also given in terms of the system dimensionless parameters.
A Hardware-Oriented Random Number Generation Method and A Verification System for FPGA

Deep learning technology has made remarkable progress in recent years and has been applied to a variety of applications such as smartphones and cloud servers.These systems employ dedicated processors to save power consumptions and process massive data.In this paper, we introduce a hardware-oriented restricted Boltzmann machine and propose a field-programmable gate array (FPGA) infrastructure for easy verification of user circuits.The infrastructure makes it easy to communicate and control between the host PC and the user circuit.
On Giants in Swedish Archaeology

Before the development of archaeology there were speculations that prehistory had been populated by giants. Giants are often seen in opposition to a scientific worldview and basic archaeological concepts. It has been emphasised that during the early 19th century there was a break between old beliefs and scientific archaeology. The author wants to show that the belief in giants in prehistory was essentially already gone. It was revived around rgoo by an intensified interest in prehistory. It was central in formulating basic archaeological notions, such as the existence of a Stone Age. The belief in giants and the historicity of folk tales were part of romantic philosophy. The romantic roots of archaeology have been denied but are central for archaeological thinking.
PELATIHAN PEMBUATAN SOAL TEST MENGGUNAKAN APLIKASI GOOGLE FORM

Cilebut 5 State Elementary School is an elementary school on Jalan Cilebut Barat Village, Sukaraja District, Bogor Regency. Some teachers have difficulty teaching online which is their task such as making online questions, so training is needed on how to make online test questions. The training provided was the creation of online questions using the Google Form application provided by Google. The activity method consists of 3 stages, namely the planning, implementation and evaluation stages. The planning stage includes team preparation, scheduling, participant and facilitator preparation. After training, each participant is given a test to measure his post-training ability. The test results of 72% of the activity participants were successful in the Google Form application training in making questions.
Innovation, Economic Growth, Internet Use and Domestic Credit in Asia and Oceania

Financial Development (FD) is part of a private sector development strategy to stimulate economic growth and reduce poverty, as well as address the "costs" incurred in the financial system. As one indicator, domestic credit to the private sector refers to financial resources provided to the private sector by financial companies, such as through loans, purchases of nonquity securities, and other trade and receivables loans, which establish claims for repayment. Innovation, economic growth and internet use are three things that are closely related to FD. Therefore, the main purpose of this study is to identify the influence of innovation, economic growth and internet use on the domestic credit of three groups of countries, including developing countries and developed countries in Asia and Oceania, as well as ASEAN member groups. Panel data was used in this study and some linear regression analysis was used as an analytical model. The results showed that on domestic credit, FDI as one of the indicators of innovation only has a positive influence on the ASEAN group of member states, economic growth has a different influence on each group of countries, and the use of the internet has a positive influence on the group of developing countries and ASEAN member countries. Keywords: domestic credit, economic growth, financial development, innovation, internet use
USING OF VIRTUAL INTERACTIVE ENVIRONMENT IN COMPUTER SCIENCE

We will conduct a practical and theoretical analysis of the virtual learning environment in computer science. Consider the goals and objectives of the study and analyze the effectiveness of training programs. We also discuss topical issues of "virtual technologies”," virtual interactive learning environment” and "online learning platform", etc. The scientific relevance of the work is due to the fact that modern technologies and virtual life affect children. Under the influence of globalization and informatization, new interactive approaches to teaching computer science have emerged. And virtual technologies are one of these ways. Virtual teaching in the country is not outdated. It is obvious that in the future, specialists working in this direction will need methodological guidance. After analyzing the results of the research work, I propose a manual for teachers. That is, to determine the practical significance of the research work and formulate rules for organizing and implementing a virtual interactive environment. In this project, we will look at ways to use and organize interactive computer technologies. Keywords: computer science, learning platform, educational process, IT technologies, virtual environment, programming languages, interactive learning.
Differentiation of Different Blue Inks in Manipulated Documents using VSC®-8000/HS: a Comprehensive Non-Destructive Technique

In present scenario, ink analysis has become extremely challenging. It is crucial for a forensic document examiner to select the best non-destructive technique for analysis. Video Spectral comparators have always been used for examination of documents under question. The current advanced variant of Video spectral comparator i.e. VSC®- 8000/HS is loaded with a wide spectrum of features including database of passports and currencies, multi-spectral analysis, micro-spectrometer etc. The present study demonstrates the effectiveness and potential of multi-spectral illumination and micro-spectrometer for analysis and differentiation of blue ball point and gel inks in handwritten documents. VSC®-8000/HShaveproved to be highly effective, robust and a comprehensive non-destructive technique for visual as well as spectral analysis of handwritten documents which have been altered (additions, obliterations and overwriting) with two or more blue inks. It can efficaciously complement with the present workflow of questioned document examination to provide qualitative as well as quantitative data for the expert’s opinion.
Evaluasi Pelayanan Sarana Dan Prasarana Proteksi Kebakaran Pada Permukiman Perkotaan

The incidence of fires in the city of Sidoarjo in the last 5 years has increased. The main causes of the majority of fires were settlement activities and weeds. The aim of this study was to evaluate the level of fire protection facilities and infrastructure services in the urban settlements of Sidoarjo City based on Minister of Public Works Regulation No.20 / PRT / M / 2009 concerning Technical Guidelines for Fire Protection Management. The study area consisted of Sidoarjo District, Candi District and Buduran District. The research approach used is descriptive evaluative research. The results showed that the level of fire protection facilities and infrastructure services in the city of Sidoarjo was still 48%, it needed an increase in the aspects of the completeness of the Fire Extinguishers building, the availability of fire stations and hydrants as well as increasing community participation.
Graph Matching Between Bipartite and Unipartite Networks: To Collapse, or Not to Collapse, That Is the Question

Graph matching consists of aligning the vertices of two unlabeled graphs in order to maximize the shared structure across networks; when the graphs are unipartite, this is commonly formulated as minimizing their edge disagreements. In this paper we address the common setting in which one of the graphs to match is a bipartite network and one is unipartite. Commonly, the bipartite networks are collapsed or projected into a unipartite graph, and graph matching proceeds as in the classical setting. This potentially leads to noisy edge estimates and loss of information. We formulate the graph matching problem between a bipartite and a unipartite graph using an undirected graphical model, and introduce methods to find the alignment with this model without collapsing. We theoretically demonstrate that our methodology is consistent, and provide non-asymptotic conditions that ensure exact recovery of the matching solution. In simulations and real data examples, we show how our methods can result in a more accurate matching than the naive approach of transforming the bipartite networks into unipartite, and we demonstrate the performance gains achieved by our method in simulated and real data networks, including a co-authorship-citation network pair, and brain structural and functional data.
Sistem Pendukung Keputusan Penentuan Pemberian Insentif Pegawai THL Menggunakan Metode Promethee Pada Kantor Walikota Pematangsiantar

Pematangsiantar Mayor Office is an institution that is used and functions to serve and protect the community. This paper proposes a decision support system research using the Promethee method. Promethee is one of several methods of determining the order or priority in multi-criteria analysis. This writing uses the Promethee method as a step in determining the provision of incentives for freelance daily staff at the Pematangsiantar Mayor's Office. In this study the authors took 10 alternatives with 5 assessment criteria including absenteeism, achievement, behavior, long history of work and teamwork. With the highest result obtained by alternative 9 on behalf of Triono with a value of 0.422 and the lowest result obtained by alternative 6 on behalf of Soraya with a value of -0.211.
Linkage Analysis on the Websites of Iranian Research Institutes

In this study, the websites of Iranian Research Institutes were examined.The link analysis method was used as one of the webometric methods.The present study population included 18 research websites of the Ministry of Science, Research and Technology of Iran.In order to assessment the status of the studied websites in terms of ranking in the world and in Iran, as well as the links received from Alexa and Webometrics.infowere used.Webometric Analyst software was used to plot linkages and diagrams of co linking networks of studied websites.The results showed that the status of the studied websites is not favorable in terms of ranking in Webometrics.info.At the same time, in terms of interconnection, these websites are very weak, and in fact, there is very little interconnection between them.These websites should have a cohesive and expert editorial board and try to make their website more visible by creating a link between them.
Patient representation learning from EHR data

This research is part of a multi-disciplinary project that aims to define polypharmacy usage (the use of a combination of drugs) as well as detect and predict dangerous cases. The particular goal of the research presented herein is to learn patient representations from a massive number of Electronic Health Records (EHR) with the intent to discover sociodemographic biases in the outcomes of polypharmacy usage.