Reviewerly/exHarmony huggingface dataset:
Education Development Tendencies in the Region (Based on Bashkortostan Republic Materials)

Human development has a direct impact on the economic well-being and competitiveness of a country.Among the positive trends, it should be noted that over the period from 2010 to 2017 in the Republic of Bashkortostan, the number of pupils of preschool educational organizations increased by 41%, the number of teachers in them increased by 12%, the proportion of teachers with higher professional education increased from 43% to 58 % However, in the region, there is a decrease in the prestige of working in schools (a decrease in the number of teachers was 19% with an increase in the number of students by 6%); in-state educational organizations implementing programs for training mid-level specialists, the number of teachers decreased by 14%, with a general decrease in the number of students by 2% and admission by 3%.A decrease in the number of universities by 33% was accompanied by a decrease in the number of students by 35% and a decrease in the number of faculty by 33%.A decrease in interest in scientific activity is accompanied by a reduction in the number of graduate students by 44%, and a decrease in admission to graduate school by 61% and a fourfold reduction in the number of defense of dissertations after graduation.The demographic decline and the decline in the prestige of higher education deteriorate human resources.There is no migration increase, a significant part of the migration loss is made up by migrants with higher education, the population of the republic is aging, and the number of able-bodied people is decreasing.The unemployment rate is falling, however, the proportion of unemployed with higher education is growing.Certain measures for the development of human capital in the region are taken by the state.Budget expenditures on education in the Republic of Bashkortostan and Russia as a whole increase, national projects, and federal programs are launched to develop regions, attract highly qualified specialists (teachers, doctors, especially in rural areas) and increase investment attractiveness.The results of these measures can be evaluated in the future, in the medium and long term.
Peculiarities of Individualization Principles of Multilevel Professional Education Under Conditions of the Cross-Border Educational Complex

The article discusses the categories, principles and foundations of activities in the system of multi-level vocational education in the border region.New integration processes in professional education have made visible demand in receiving education among applicants from foreign countries.The Kurgan region with its developed educational cluster annually attracts hundreds of foreign students from neighboring countries, whose selection criterion (one of many) is proximity of an educational institution to their native borders.This trend has exposed the problem of individualization of multilevel professional education, taking into account the needs of foreigners.An attempt is made to highlight the peculiarities of foreign student preparation in the concept of continuity of multilevel professional education developed by the author.A distinctive feature of the materials presented is the author's application of the results of the author's research conducted in the Russian Federation and Kazakhstan.
Manfaat aloe vera sebagai terapi topikal luka bakar

Aloe vera is an herbal plant that has been used extensively for centuries as a natural medicine. Aloe vera therapy activities can be used to treat skin lesions, such as burns. The gel has healing, analgesic, and anti-inflammatory activity, besides being a powerful moisturizing and protective skin agent. The speed of healing in the aloe vera group is better than the conventional group. Effects produced by aloe vera gel with reference to wound contraction, wound closure, decrease in wound surface area, tissue regeneration at the wound site. Aloe vera contains important nutrients such as vitamins A, C and E, which act as antioxidants, minerals (calcium, copper, magnesium, potassium, and zinc), enzymes, glycoproteins, amino acids, carbohydrate constituents, such as polysaccharides and salicylic acids
The Impact of MultiChannel’s Single Phase Queue and E-KTP Process Service on Community Satisfaction in Lamongan Regency

Queues have become an important part of operations management.The queue arises because the need for services occurs outside the capacity and service facilities so that service users get services slowly or quickly so that it impacts on people's satisfaction of absolute needs.The purpose of this study was to measure the level of community satisfaction in the service process of the E-KTP provided by Department of Population and Civil Registration .Multi-Channel Queue One phase starts when it occurs when two or more service facilities are flowed by a single queue.The research method uses quantitative analysis.Results Shows that there is a significant influence on multi-channel one-phase queuing system and E-KTP process services on community satisfaction.Because most people assume that the structure of the queue implementation process there are two or more service facilities provided by the multi-channel queuing system-The single-phase implemented in Lamongan works quite effectively.
Study on Framework of Intelligent Analysis of Chinese Preview Homework in Primary Schools

Aiming at relieving heavy workloads of primary school Chinese teachers to revise students’ preview homework every day, an AI-based intelligent analysis framework is put forward to revise, analyze and generate statistic and individual reports for teachers to carry out personalized teaching and assign personalized homework to each student. After combing related technologies such as optical character recognition, natural language processing, semantic analysis and knowledge graph, feasibility of this work is analyzed. Then a three-step framework including text recognition, Chinese learning knowledge graph construction, reports generation on words, vocabularies and article understanding is proposed to conduct intelligent analysis for discussion.
An improved identification method for hollowing instrument

Aiming at the problem that the pointer are occluded when manual inspection of hollow pointer instruments in substations and the reading error caused by shooting angle is large, a detection method of pointer segments based on annular region segmentation is proposed. This method combines the principle of Hough gradient method and adopts multi-layer template feature matching to build a table needle template library. Firstly, the image is grayed, binarized and expanded. Secondly, the tilted instrument image is corrected by perspective transformation matrix. Finally, the outline is detected by Canny algorithm, and the pixels in the annular region are detected from outside to inside until the pointer is found. In the annular area, the pointer connecting the center of the instrument and the detected annular area is the pointer position of the instrument. The results show that the pointer instrument automatic recognition system can accurately identify the reading of the pointer. Compared with the SVM method, the accuracy of the reading is higher and the false rate of detection is lower.
A Brief Review of Optimization of Methods for Image Segmentation by using Thresholding Techniques

Image segmentation is important part of computer vision and image processing. The applicability and diversity of image segmentation are increase day to day in various engineering and scientific filed for the purpose of data analysis and prediction of particular object in given image [10]. For the processing of image segmentation various technique are used some technique are based on histogram of image and some technique are based on image content such as color, texture and shape & size. In mid-decade used the concept of threshold based image segmentation technique. Threshold based image segmentation technique overcomes the limitation of pervious method of image segmentation. The threshold based image segmentation method performs in terms of local, global and adaptive image segmentation techniques. The process of local and global image segmentation technique differs only in the selection of parameter for the threshold. The selection of threshold value includes the process of image binarization. The local and global image segmentation technique is based on the method of iteration [11]. The process of image iteration cannot be always good for image similarity index for segmented area. In this dissertation the analysis of image segmentation technique is performed based on thresholding technique. For the evaluation of the algorithm performance execution time is used. For the validation of local and global algorithm some standard image dataset is used such as boat, cameraman and Barbara.
Investigation of Privacy-Preserving Data Models and Contributions

Data mining is a technique which is employed on data to recover the valuable outcomes from large and raw nature of data. that process of data mining helps to make decisions, finding similar patterns, or predict some events. All these are the fruitful applications of data mining but the data mining scope is extended day by day and in a distributed environment the mining of data need privacy. In this presented work the privacy-preserving data mining is the key area of investigation. Therefore, this paper includes a detailed survey on privacy-preserving data mining and their techniques. In addition to that for future work, the possible objectives and future extension of the work is also established in this paper.
Improvement a Transcription Generated by an Automatic Speech Recognition System for Arabic Using a Collocation Extraction Approach

The following study propose a novel heuristic to improve an automatic speech recognition system for Arabic language.Our heuristic relies on the collaboration of two approach: the first one ensures the extraction of collocations from a voluminous corpus then stores them in a database.It uses a combination of several classical measures to cover all aspects of a given corpus in order to exclude bigrams having a high probability of occurring together.The second one constructs a search space on the relations of semantic dependence of the output of a recognition system then, it applies phonetic filter so as to select the most probable hypothesis.To achieve this objective, different techniques are deployed, such as the word2vec or the language model RNNLM in addition to a phonetic pruning system.The obtained results showed that the proposed approach allowed improving the precision of the system.
Implementasi Interpolasi Fractal Untuk Pembesaran Skala Pada Citra Screen Capture CCTV

Various types of image processing that can be done by computers today such as image enlargement, image quality improvement and sharpening of an image are one of the fields that are quite popular today. Sharpening an image is very necessary so that someone can see and observe clearly the object of the image and the absence of interference. An image can have damage to some parts or blocks of pixels in the sending or storage process. This damage is the main form of error in the image, for example the image of CCTV Capture. The problem that is often faced when we want to see a CCTV recording is the obscurity of an object image that we want to see. If the Screen Capture and zoom in will be increasingly unclear the image object. The results of this Screen Capture image have a better level of sharpness if it is enlarged directly, the Screen Capture is usually used as evidence and so on. This image improvement is done by the operation process of the selection point of the results of the CCTV Screen Capture image that is used as a sample. After the Screen Capture image selection results are obtained then the image is in Grayscale to make a uniform pixel value, the next process is the process of enlarging the image of the Screen Capture image by adding new pixels. This is done by inserting the new pixel points between the points where the pixel value has been set directly from the original image. To overcome these problems requires the Fractal Interpolation method to improve image quality enhancement. With this method it is expected to be able to solve the problem of improving the image quality enlargement of the results of the CCTV Capture Screen. This research was conducted to implement the process of improving image quality magnification based on the Fractal Interpolation method.
The Public Library Metadata Landscape, the Case of Norway 2017–2018

The aim of this paper is to gauge the cataloging practices within the public library sector seen from the catalog with Norway as a case, based on a sample of records from public libraries and cataloging agencies. Findings suggest that libraries make few changes to records they import from central agencies, and that larger libraries make more changes than smaller libraries. Findings also suggest that libraries catalog and modify records with their patrons in mind, and though the extent is not large, cataloging proficiency is still required in the public library domain, at least in larger libraries, in order to ensure correct and consistent metadata.
Pelanggaran Lalu Lintas Berdasarkan Tingkat Pendidikan Di Provinsi Kepulauan Bangka Belitung

This research is motivated by the number of traffic violation cases carried out by the community in Bangka Belitung. Many traffic violations carried out by children. This study aims to determine the number of traffic violators based on the level of education of the people in the Bangka Belitung Islands Province in 2016, thus it can be seen the number of traffic violators at certain levels of education in the Bangka Belitung region. The method used in this research is descriptive quantitative. This descriptive research is used to describe an event or event and social phenomenon in factual and systematic. This method is used to explain the data contained in the table by using descriptive explanations. The data used is secondary data. The results showed that the highest violations in Pangkalpinang City compared to other districts. Based on the data obtained, the high school level in the city of Pangkalpinang becomes the highest number of traffic violators. Many factors cause violations among students, namely internal and external factors. Internal factors come from within the individual, while external factors are found in the surrounding environment. Need appropriate handling to overcome the occurrence of various traffic violations among students. The method taken can be preventive and repressive.&#x0D; &#x0D; Keywords: BPS, students, minor violations.&#x0D;
Reducing Lattice Enumeration Search Trees

We revisit the standard enumeration algorithm for finding the shortest vectors in a lattice, and study how the number of nodes in the associated search tree can be reduced.Two approaches for reducing the number of nodes are suggested.First we show that different permutations of the basis vectors have a big effect on the running time of standard enumeration, and give a class of permutations that give relatively few nodes in the search tree.This leads to an algorithm called hybrid enumeration that has a better running time than standard enumeration when the lattice is large.Next we show that it is possible to estimate the signs of the coefficients yielding a shortest vector, and that a pruning strategy can be based on this fact.Sign-based pruning gives fewer nodes in the search tree, and never missed the shortest vector in the experiments we did.
Interaction of Libraries, Museums, Archives: Ukrainian Experience

The purpose of the article is to highlight the interaction as an innovation process among libraries, museums and archives in the communication space of Ukraine.Research Methodology. The author uses a socio-communication approach with the principles of systemic, socio-cultural and information sciences. The following methods are applied: the analysis of the content of websites of libraries, museums and archives; comparing and generalizing the obtained data, archival documentation.Results. According to the results of the conducted survey, 36% of Ukrainian libraries host joint socially significant events. Site monitoring also shows that engagement is still not a priority for Ukrainian libraries, museums and archives. 20% of libraries, 14% of museums and 40% of archives report their partners. At the same time, only 2% of museums among such partners indicate libraries and 3% of museums mention archives as partners.The priority areas of interaction among libraries, museums and archives have been described. They are: socio-cultural partnership, technological convergence which involves the integration of information resources of libraries, museums and archives; research and educational convergence based on the introduction to the educational process of the programs aimed at the development of future library, museum, archives specialists’ comprehension of the purpose, content, forms, types and kinds of communication among libraries, museums and archives. The interaction creates the conditions for the development of three socio-communication structures as subsystems of one system.Novelty. The areas of interaction among libraries, museums and archives as innovation process in the Ukrainian experience are systematized and summarized.The practical significante. Basic scientific findings, conclusions and results are useful for developing partnerships among libraries and museums and archives.Conclusion. The rapid growth in cooperation among libraries, museums and archives in the areas of socio-cultural, technological, research and educational interaction in the Ukrainian experience has been confirmed.
Contents Analysis On TEFL Workshop Course Book For Pre Service Teachers

The article reports the result of contents analysis on the coursebook "TEFL Workshop".This is descriptive research whose data are the course materials in the "TEFL Workshop" course book.Data retrieval are documentation of course materials, questionnaires for students' perceptions of course materials in "TEFL Workshop" course book, and observations on the students' teaching performances.The data obtained are analyzed through contents analysis.It was found that 60% of students of The English Language Education Department had difficulties in understanding and applying the English teaching and learning strategy.This was caused by the impractical course materials.The result of the analysis is used to revise TEFL Workshop course book based on students'input and that of TEFL experts as well as on applicative current references to improve the students' skills in preparing English lesson plan as well as practicing it better, effectively and efficiently.
AdvNet: Multi-Task Fusion of Object Detection and Semantic Segmentation

Environment perception is essential for autonomous driving vehicles (ADVs), and vision plays a vital role in environmental perception. Object detection and semantic segmentation as the basic computer vision tasks have become the significant technology in the ADVs' perception module. With the development of deep learning, the results of both tasks had an obvious leap. However, these advances have been driven by a powerful baseline system, which brings strict computing resource requirements. When deploying these two tasks on the same platform, real-time performance usually gets worse. In this paper, a method was presented for end-to-end lane segmentation and obstacle detection in real-time performance. In this method, a multi-task network was designed by fusing segmentation network architecture and detection network architecture. With a specific training strategy and a modified open dataset, this method has an excellent performance in detecting lane lines and obstacles simultaneously. When comparing with separately running detection and segmentation modules at the same computing platform, the method presented in this paper achieves better real-time performance and lower hardware requirements.
A Comparative Study, Analysis and Mitigation of e-Governance Models using Secure Information Exchange

Consumer is at focus or epicenter of any Industry. Government communicates with Citizen (G2C), Government to Business (G2B) using portal which serves the requirement of all stakeholders. E-Governance is the buzzword which provides one stop solution in a time bound, transparent and efficient manner. Development and deployment of e-Governance system requires great planning and meticulous execution. This paper compares various e-Governance models on important yardsticks like Security, Robustness, Privacy, Efficiency and Optimization. This paper also discusses at length various authentication, risks and project management issues in e-Governance development and deployment. Secure transactions using unique identification or authentication method is proposed which enhance the credibility of the e-Governance model.
Pemahaman Materi Bangun Ruang dengan Berbantuan GeoGebra

This study has purpose to explore the use of GeoGebra in understanding concept of building up space. It is based by the fact that the ability to understand building space six grade elementary school in the city of Malang is still low. based on research conducted in the oddest semester of 2019/2020 obtained at least 6 of 10 elementary school students in one of the private elementary schools in Malang city have difficulty to understanding the concept of building space. In this case, it can be seen that the ability of understanding material build space is still not honed well. This research is a qualitative research, the type of this study is case study. The instrument in this study is a test problem related to the building space, and interview guidelines. In this study, the description of data analysis and meaning interpretation of finding is using text analysis. The results show that the subjects easier to understand the concept of building space with GeoGebra, because it uses the subject GeoGebra can see the building in 3D.
Research on Trajectory Prediction Method of Mobile Pollution Source Based on Hybrid Genetic Particle Swarm and optimized Extreme Learning Machine

In order to accurately predict the trajectory of mobile pollution sources such as motor vehicles in real time, a trajectory prediction method based on hybrid genetic particle swarm optimization and optimized extreme learning machine (HGPSO-OELM) is proposed in this paper. optimized Extreme Learning Machine (OELM) avoids the disadvantage of traditional Extreme Learning Machine (ELM) which has poor generalization performance for small data sets. However, due to the random assignment of input weights and hidden layer node biases parameter groups, the prediction accuracy is affected. Therefore, finding the optimal parameter group can improve the prediction accuracy of vehicle trajectory. By introducing the hybrid genetic particle swarm optimization (HGPSO) algorithm, the optimal parameters of OELM model are dynamically optimized, which overcomes the randomness of the model establishment. Only a small number of hidden layer neurons are needed to achieve better prediction performance and improve the generalization of the network. Using the vehicle GPS trajectory data provided by ACM SIGS PATIAL GIS 2012, this paper chooses different historical data lengths based on ELM, OELM, HMM, GA-BPNN, LSTM, HGPSO-OELM and other methods to compare the one-step prediction performance under different historical data lengths. The experimental results show that the proposed HGPSO-OELM algorithm has higher prediction accuracy and real-time performance. The single-step prediction accuracy is the best when the length of historical data sequence is 20, and the multi-step time series prediction is realized under this length.