Reviewerly/exHarmony huggingface dataset:
On the Problems of Introducing Innovations in The Process of Life Safety Training in A Higher Education Institution

The object of this study is the issue of introducing innovations into the process of preparing students of a higher education institution in the subject “Life Safety”. The authors set a goal to open and characterize the fundamental issues associated with the introduction of innovations in the educational process of a university in a particular subject based on a comprehensive systematic analysis of the process of preparing students in universities, as well as basic regulatory legal documents in the field of education and basic professional educational programs and curricula. Moreover, the authors rely not only on approaches and conclusions based on solidarity, but also alternative theoretical ones. The results obtained during the study made it possible to determine ways to solve the issues associated with the correlation of innovative approaches with the subject “Life Safety”. The novelty of the study and its results are determined by the original approach to identifying the characteristic features of innovations in the educational process and studying the systemic links between innovative forms, methods of the educational process and the content of the subject.
Protection of User Data in Cloud Computing

There has been an increase in the development of Cloud Computing, thus there is a need for people to know how their personal information be made more secure with the assistance of upcoming technology in the field of cryptography.The problem in the older systems can be defined as although applications are often created with unique features such as data tagging; whose main motive is to prevent unauthorized access to user data, illegal access to data is still possible through some types of application vulnerability (e.g., In March 2009 there was illegal access to Google's documents and spreadsheets).Some cloud providers get their data and various applications corroborated by third-party application security tools, still, there is a need for the establishment of a process that is dedicated to only one organization.In this paper, we have given more emphasis on Symmetric key algorithms e.g., AES (which stands for advanced encryption system), DES (which stands for data encryption system), Blowfish because the information which is stored on the cloud through these algorithms is much more secure and protected as compared to an asymmetric algorithm.In this journal, we have carefully studied security issues, which are faced by many users in the process of storage or transferring data through cloud computing from one place to another.We have presented a detailed and emblematic study of how can various encryption and decryption algorithms make the overall process of communication reliable, smooth, and secure.We have also compared important distinguishing factors between algorithms like key size, scalability, the extent of security, etc.
The role of Marketing Innovation in Achieving Hotel’s Business Excellence

This study aims to determine the effect of applying Marketing Innovation practices (Developing the marketing technology; creating value for customers; creative thinking of marketers and assessing the feasibility of marketing innovations) on hotels’ business excellence. The field study was applied to a simple random sample of marketing and sales managers in five – star hotels in Cairo and Sharm El Sheikh. A questionnaire form was used to collect the research data. Data were analyzed using the statistical program (SPSS.V.23). The research results concluded the impact of most dimensions of marketing innovation on a hotel’s business excellence while applying all dimensions together showed a high positive effect. The research recommended the importance of applying all dimensions of innovation marketing as one practice without fragmentation with the creative formulation of the hotel's marketing strategies.
MENINGKATKAN KEMAMPUAN MEMBACA PEMAHAMAN MENGGUNAKAN STRATEGI KNOW WANT TO LEARN (KWL) PADA SISWA KELAS V SD INPRES 15 HALMAHERA BARAT

The research objectives consist of (1) To increase students reading comprehension understanding in using Know Want and To Learn strategy and (2) To Describe the students reading comprehension ability in using this teaching strategy by the students of 5th grade SD Inpres Halmahera Barat. Classroom action research has become the kind or type of research that used it. Thus the research consists of planning, action, observation, and reflection. Also, this research used quantitative and qualitative approaches in determining the data analysis. The data considered by the testing process, observation activities (between students and teachers), and also students post-test. The result of both cycles was as follows: (1) the student’s reading comprehension ability score averages at the first cycle were 70 and in the second cycle became 95. It means that the learning strategy functions better in the process and also students’ capability in reading comprehension learning objectives is reached.
Petrography and Provenance Study of South-Central Part of Kaladgi Basin, Belgaum, Karnataka, India

The area under investigation covers the south-central part of Kaladgi series comprising of sedimentary rocks, mainly quartzarenites. From the geological point of view the study area comprises southcentral part of Kaladgi basin covering around 54 km2 which encompasses rocky hills of moderate height, showing three types of facies i.e., argillaceous, arenaceous and rudaceous. Among these three, arenaceous facies is more prominent in the area. These sedimentary rocks rest unconformably over gneisses. Detailed study of the rocks exposed are done by studying the petrological aspects of the rock samples which were subjected to microscopic studies, bifurcating different minerals and counting each parameter of the minerals which is plotted in the QFR ternary diagram and further illustrating the tectonic provenance of the area. Present work mainly focuses on the studies related to petrological, diagenesis and provenance of the study area where the rocks exposed in the vicinity are quartz arenites indicating that these sediments were deposited in a riverine condition.
ROBUST MULTIMODAL IMAGE MATCHING BASED ON MAIN STRUCTURE FEATURE REPRESENTATION

Abstract. Image matching is a crucial procedure for multimodal remote sensing image processing. However, the performance of conventional methods is often degraded in matching multimodal images due to significant nonlinear intensity differences. To address this problem, this letter proposes a novel image feature representation named Main Structure with Histogram of Orientated Phase Congruency (M-HOPC). M-HOPC is able to precisely capture similar structure properties between multimodal images by reinforcing the main structure information for the construction of the phase congruency feature description. Specifically, each pixel of an image is assigned an independent weight for feature descriptor according to the main structure such as large contours and edges. Then M-HOPC is integrated as the similarity measure for correspondence detection by a template matching scheme. Three pairs of multimodal images including optical, LiDAR, and SAR data have been used to evaluate the proposed method. The results show that M-HOPC is robust to nonlinear intensity differences and achieves the superior matching performance compared with other state-of-the-art methods.
Active Vision Reconstruction Based on Ratio Invariability of Triangle Areas Generated from Triangle Array in Affine Space

Abstract An active-vision process is presented by the affine invariability of the ratio of triangle areas to reconstruct the 3D object. Firstly, a plate with the triangle array is designed in the same plane of the planar laser. The image of the plate is rectified from the projection space to the affine space by the image of the line at infinity. Then the laser point and the centroids of the triangles constitute a new triangle that bridges the affine space and the original Euclidean space. The object coordinates are solved by the invariant of the triangle area ratio before and after the affine transformation. Finally, the reconstruction accuracy under various measurement conditions is verified by experiments. The influence analyses of the number of line pairs and the accuracy of the extracted point pixels are provided in the experimental results. The average reconstruction errors are 1.54, 1.79, 1.90, and 2.46 mm for the test distance of 550, 600, 650, and 700 mm, which demonstrates the application potential of the approach in the 3D measurement.
THE LIBRARY OF FULLYHOMOMORPHIC ENCRYPTION OVER THE INTEGERS

The article discusses one of the new directions of cryptography, a homomorphic cryptography.Its distinctive feature is that this type of cryptography allows you to process encrypted datawithout first decrypting it in such a way that the result of operations on encrypted data is equivalentafter decryption to the result of operations on open data. The paper describes the main areasof application of homomorphic encryption. The analysis of existing developments in the field ofhomomorphic encryption is performed. The analysis showed that existing library implementationsonly allow processing of bits or arrays of bits and do not support the division operation. However,to solve applied problems, support for performing integer operations is necessary. The analysisrevealed the need to implement the operation of homomorphic division, as well as the relevance ofdeveloping your own implementation of a library of homomorphic encryption over integers. Theability to perform four operations (addition, difference, multiplication and division) on encrypteddata will expand the field of application of homomorphic encryption. A method of homomorphicdivision is proposed, which allows performing the division operation on homomorphically encrypteddata. A library architecture of completely homomorphic operations on integers is proposed.The library supports the basic homomorphic operations on integers, as well as the divisionoperation, thanks to the method of homomorphic division. Based on the proposed method ofhomomorphic division and library architecture, a library of homomorphic operations on integerswas implemented. The article also provides measurements of the time required to perform certainoperations on encrypted data and analyzes the effectiveness of the developed library implementation.Conclusions and possible ways of further development are given.
Wprowadzanie elementów nauczania hybrydowego w kształceniu językowym; uzasadnienie dydaktyczne oraz główne wyzwania dla nauczyciela

The aim of the paper is to explore the potential of two Internet tools for asynchronous communication, wiki and forum, in oral tasks oriented at the development of argumentative skills. I assume that the use of these tools while preparing an oral task may positively influence the quality of the reflection further developed during class discussion, that is that the work performed in the virtual community context can reinforce the processes of the co-construction of knowledge in oral interaction. The paper focuses on several qualitative changes in the teaching process which can be initiated by hybrid construction of class scenarios. I discuss also selected difficulties connected with the introduction of this didactic innovation and the principal advantages of such scenarios at the level of the didactic relationship and teaching objectives.
ANALISIS PERBANDINGAN ALGORITMA ANALYTICAL HIERARCHY PROCESS DAN PROFILE MATCHING

In 2015, the researchers created a decision support system application to determine the priority ranking of students in obtaining Poor Student Assistance funds (BSM) to overcome the problem of distributing BSM funds by applying the Simple Additive Weighting algorithm. In 2017, researchers modified the program by adding criteria on the ownership of the Social Protection Card (KPS) or the Poor Certificate (SKM) owned by the parents/guardians of students in addition to the criteria that existed in the previous system, namely the income of parents/guardians , the state of the house building of the parents/guardians, the number of siblings, and the number of children still dependent on the parents. The system can be used to calculate the priority of students in receiving BSM for students whose parents/guardians do not have KPS/SKM, whereas students with their parents/guardians who have KPS/SKM get first priority to receive BSM funds, and for students with parents/guardians who did not return a questionnaire the questionnaire can still receive BSM funding in the most recent. Current research describes the workings of the algorithm of Analytical Hierarchy Process and Profile Matching algorithm in processing BSM fund distribution’s criterias to produce priority ranking information of students receiver BSM funds.
EFL Learners’ Literacy with and Without ER in Reading English

This study aimed at exploring the students’ beliefs towards reading between those who have followed ER and those who have not in the distinct level of reading ability—high, intermediate, and low level. This present study was a qualitative study concerning the students’ perception towards a particular issue. The findings show that the students’ beliefs towards reading English, for those who have followed ER with a high level of competency, remains the same as intensive reading principles. While, unexpectedly, those who have not yet followed ER at the same level have some beliefs which refer to ER principles. For the intermediate and low level for either those who have or have not yet followed ER, their principles remained the same reflecting those of intensive reading. This study contributes practically to ER practitioners in implementing ER in order that ER, within classroom activities, can run as it is by minimizing the biases and maximizing its benefits based on the outcomes, the students’ beliefs towards reading in English. Theoretically, the contribution lies at an additional confirmation that the outputs of ER, in the form of students’ beliefs, may result unexpectedly for many factors contributing to its success must really be well-monitored. The conclusion and suggestions are then attached to the end of this paper.
PENGARUH MODEL OUTDOOR STUDY TERHADAP KETERAMPILAN MENULIS PUISI PADA MATA PELAJARAN BAHASA INDONESIA DI KELAS V SD NEGERI 023905 BINJAI UTARA TAHUN AJARAN 2018/2019

The problem in this study is the students' writing essay writing skills that have not been maximized. One of the contributing factors is the learning model used is not in accordance with the learning material. The purpose of this study was to find out the implementation of Indonesian language learning by using Outdoor Study learning model and conventional methods learning in Writing Essay rhymes.The study was conducted at SDN 023905 Public Elementary School in Binjai utara on juli , 2019. The population of this study was all fifth grade students of SDN 023905 Binjai Utara, which numbered 64 people and at the same time became research samples divided into two parallel classes. Data collection tool used tests and data analysis consisting of testing hypotheses using the two average difference test. From the data analysis obtained the description essay writing skills of students using Outdoor Study model learning gained an average of 80.85 and the conventional learning method gained an average of 70.70. From the two data it can be concluded that the Writing Skills Writing rhymes on the Outdoor Study Learning method is better than using the Conventional method in class V SDN 023905 Binjai Utara Academic Year 2019/2020
Penerapan Estimasi Posisi dan Tracking Wajah Pada Sistem Presensi Mahasiswa

The current presence system can be done with a computerized system, one of which is the face biometric system. This study focuses on the application of position estimation and tracking based on clustering on people's faces to determine the position in three dimensions. Position estimation can be obtained by making a kernel that is ready to be used to predict three-dimensional coordinates of faces based on two-dimensional coordinates of two images. Position estimation can be done by utilizing the Machine Learning algorithm family. In this study, Least Absolute Shrinkage and Selection Operators (LASSO) is used to perform the position estimation. Meanwhile, clustering in this study uses the K-Means algorithm. Based on the test results, the kernel error obtained in estimating the face location is 9.23 cm. The tracking accuracy of an object based on clustering is 100%.
ENVIRONMENTAL PERFORMANCE EVALUATION OF SOME INDUSTRIAL FIRMS DUE TO ISO 14031 STANDARD

This research aims to evaluate six of Baghdad Industrial firms in different sectors in Baghdad due to ISO 14031 Standard in order to know the effects of factories on the environment, create a database for comparison with certain time periods, continuous improvement of environmental performance, and increasing environmental awareness. Environmental Performance Evaluation (EPE) includes two types of indicators, Environmental Performance Indicators (EPIs) and Environmental Conditions Indicators (ECIs). The research focus on (EPIs) which includes two types of indicators, Management Performance Indicators (MPIs) and Operation Performance Indicators (OPIs). (MPIs) includes performance and infrastructure Indicators and Training Indicators, and (OPIs) include Industrial and occupational safety indicators and an environmental control indicator. In this research, a questioner list with a five Likert Scale level was suggested. The questionnaire lists were answered by employees specializing in environmental aspects in the Middle Refineries Company, South Baghdad thermal power station, General Company for Textile and Leather, Battery Factory, General Company for Food Products, and The Cotton Factory. The data of questionnaire lists were converted to information by statistical equations, SPSS program used to calculate ANOVA table to compare averages of differences between indicators that have been subjected to different treatments in order to arrive at the indicator that makes average is different from other averages.
Chukanova S. О. Library Science and Information Science in the US Higher Education System: Monograph. Index of contents

The monograph discusses the organizational and methodological foundations of the professional training of specialists in library science and informology in the US higher education system: structure and content, forms of organization, orientation of professional training to ensure the professional mobility of these specialists. The directions of using the US experience in modernization of professional training of specialists of information, library and archives in Ukraine are defined and substantiated.
The Use of Emotionally Colored Words in English E-Headlines

E-headlines play an important role in shaping our interest towards reading different online articles and news. There are a lot of strategies and techniques of attracting the readers’ attention and one of them is the use of emotionally colored words. The aim of the present paper is to define the characteristics of emotionally colored words as lexical phenomena and to analyze special emotional word colorings in English e-headlines that are deliberately used to make an immediate impact on the readers’ choice. The famous western electronic newspapers and magazines like “Time”, “The Telegraph”, “The Guardian”, “The New York Times” and “The Sun” make the source platform of the current investigation.
A NEW CLOUD-EDGE-TERMINAL RESOURCES COLLABORATIVE SCHEDULING FRAMEWORK FOR MULTI-LEVEL VISUALIZATION TASKS OF LARGE-SCALE SPATIO-TEMPORAL DATA

Abstract. To address the multi-modal spatio-temporal data efficient scheduling problem of the diverse and highly concurrent visualization applications in cloud-edge-terminal environment, this paper systematically studies the cloud-edge-terminal integrated scheduling model of multi-level visualization tasks of multi-modal spatio-temporal data. By accurately defining the hierarchical semantic mapping relationship between the diverse visual application requirements of different terminals and scheduling tasks, we propose a multi-level task-driven cloud-edge-terminal multi-granularity storage-computing-rendering resource collaborative scheduling method. Based on the workflow, the flexible allocation strategy of cloud-edge-terminal scheduling service chain that consider the characteristics of spatio-temporal task is constructed. Finally, we established a cloud-edge-terminal scheduling adaptive optimization mechanism based on the service quality evaluation model, and developed a prototype system. Experiments are conducted with the urban construction and construction management, the results show that the new method breaks through the bottleneck of traditional spatio-temporal data visualization scheduling, and it can provide theoretical and methodological support for the visualization and scheduling of spatio-temporal big data.
STACKED LOCAL FEATURE DETECTOR FOR HYPERSPECTRAL IMAGE

Abstract. Images registration is an important task in hyperspectral image processing, while almost all local feature point based image matching algorithm is designed for single band image only and miss the advantage of abundant spectral information. Therefor, in this paper we propose a novel local feature detector for hyperspectral image. This method, which is named stacked local feature detector (HSI-SFD), stack all local feature points detected from every single spectral band. With redundant information, local feature miss-detected at noise pixel can be filtered out by the stack count threshold, leading to more reliable and robust local features. To verify the algorithm, a hyperspectral image matching dataset is built. Multiview hyperspectral images of the several different flat targets are taken by scan-line hyperspectral camera in library. Each image contains 270 bands within 400–1000 nm. Groundtruth transformation matrix between images is computed from corresponding points selected by hands. Experiment on the dataset shows that features points miss-detected at texture-less area can be inhibited by HSI-SFD. Both keypoint repeatability and matching accuracy increase significantly. Precision and matching score increase up to 10% for some scene.
Teachers’ Questioning Strategies in Indonesian Language Learning

This work presents questioning strategies used by teachers, the cognitive realm of teacher questions on the use of questioning strategies in the Indonesian learning process, and the application of teacher questioning strategies in the structure of Indonesian language learning.Data collection techniques used are listen, record, and record.The instrument used in this study was the human instrument.The results of the study can be detailed as follows.First, the questioning strategy used by the teacher includes: 1) the use of the redirection question strategy by the teacher during the learning process, marked by questions that make students active as a whole, 2) the use of prompting question strategies by the teacher during the learning process, marked by giving questions that lead students to answer correctly, and 3) the use of probing question strategies by the teacher during the learning process, marked by questions that dig deeper information.Second, the cognitive realm of teacher questions on the use of questioning strategies in the Indonesian learning process includes the following aspects: memory, understanding, application, analysis, evaluating, and creating.Third, the teacher's questioning strategy in the structure of Indonesian language learning includes the questions at the beginning, in the middle, and at the end of learning.