Reviewerly/exHarmony huggingface dataset:
Using Graded Readers for Developing EFL Preparatory Stage Pupils' Writing Skills

This study aimed at investigating the effectiveness of using graded readers for developing EFL preparatory stage pupils' writing skills in terms of vocabulary, grammar, content, organization and mechanics. The participants of the study were forty six (46) second year preparatory stage pupils from Qallin preparatory school for girls, Kafr el-Sheikh, Egypt. The study adopted the quasi-experimental research design, with one research group. Instruments designed and used in the study were writing skills' inventory, pre post writing test and analytical rubric. The experimental treatment was conducted during the second semester in the academic year 2018/2019. The pre-post writing skills test was administrated.  Findings of the study indicated significant differences between the mean scores of the research group on the pre and post writing test on all five sub-skills in favor of the post test. The results showed that using graded readers enhanced the pupils’ EFL writing skills. This study concluded with recommendations pertinent to using graded readers as a tool in teaching writing skills
APPLICATION OF DISTANCE LEARNING TECHNOLOGIES IN THE EDUCATIONAL SPACE OF EUROPE: EXPERIENCE OF THE EDUCATION ORGANIZATION DURING THE COVID-19 PANDEMIC

The paper analyzes up-to-date distance learning technologies used in European education system for ensuring overall organization of the educational process during the COVID-19 pandemic. Quarantine conditions have become a catalyst for development and practical testing of virtual learning tools and innovative pedagogical technologies, and application of the experience with them is a necessity of today and a strategy for the future. The article is focused on distance learning technologies in higher education. Institutions of England, Germany and France are chosen for the study due to their banner quality of educational service, like the University of Oxford, for example. The basis for successful conduct of all types of classes is employment of universities’ own specialized learning platforms. The learning model remains more similar to the traditional one. The main role continues to belong to communication between qualified teachers and students through various interactive web applications, while digital technologies create space for such interaction, filling it with learning materials. Students get access to all educational services using a single password to the university network. At the same time, some learning materials are available with open access, video lectures and podcasts are popular. Unlike other countries, education in Germany is governed by strict principles of information and data protection. In the contrary, in France many courses have been made available on network, and the education system has instantly adapted to work in virtual mode through the developed system of national distance learning platforms and the massive open online courses. The result of effective distance learning organization in Europe during the pandemic is that the introduction of digital technologies and transition to more flexible learning models become the education strategy at the state level, while pedagogy becomes an area of advanced development of information and communication technologies. Key words: distance education, online learning, information and communication technologies, educational platforms, quarantine, COVID-19.
Privacy Analysis and Comparison of Pandemic Contact Tracing Apps

During the period of epidemic prevention and control, contact tracing systems are developed in many countries, to stop or slow down the progression of COVID-19 contamination.However, the privacy issues involved in the use of contact tracing apps have also attracted people's attention.First, we divide contact tracing techniques into two types: Bluetooth Low Energy (BLE) based and Global Positioning System (GPS) based techniques.In order to clear understand the system structure and its elements, we create data flow diagram (DFD) of each types.Second, we analyze the possible privacy threats contained in various types of contact tracing apps by applying LINDDUN, which is a threat modeling technique for personal information protection.Third, we make a comparison and analysis of various contact tracing techniques from privacy point of view.These studies can facilitate improve tracing and security performance to contact tracing apps through comparisons between different types.
APLIKASI PENJUALAN GROSIR BERBASIS WEB PADA CV. SARWODADI

&#x0D; This research is motivated by the owner of a wholesale pen trading business, so far CV. SARWODADI is still doing promotions and sales manually, so the range of promotions and sales is still limited and cannot be extended to several areas which causes the products produced to be less well known by the wider community. Troubleshooting solutions in CV. SARWODADI, namely by implementing a website-based sales application, so that it is expected to increase sales and marketing of CV. SARWODADI. The goal achieved is as a promotional media on the CV. SARWODADI and make it easier for consumers to see and buy products without having to go to the store. The research method used is the interview method, namely by asking questions directly to the owner of the UD. Irma Jaya Pen about how the flow of sales transactions, purchases, availability of goods, and the reporting process in CV. SARWODADI. Library Method by reading books and understanding materials related to Web-Based Wholesale Sales Applications on CV. SARWODADI is to learn the manual system that is running on CV. the SARWODADI. The result to be achieved is that it is hoped that the Web-Based Wholesale Sales Application can overcome the problems that exist in the old system so that it is able to meet all system needs.
System of Standards on Information, Librarianship and Publishing. Analyzing standards status and development vectors

The key activity lines of Technical Committee for Standardization 191 «Scientific and Technical Information, Librarianship and Publishing» are discussed. The status of standards pool is evaluated; the priority tasks in developing SIBID regulations are discussed. The significant role of intergovernmental standardization system in cooperation between the post-Soviet countries in the library and information sphere, in science, business and culture, is demonstrated. The increasing role of SIBID specifications in library information technologies is emphasized. It is suggested that it would be efficient to involve interested IT-companies into developing regulations in this area.
OSCE IN VIRTUAL REALITY AS A PROPOSAL FOR INNOVATIVE EDUCATIONAL PRACTICE

J. Libório, I. Gonçalves, C. Santos, B. Pereira, D. Nascimento, W. Santos, S. Passos, J. SachettUniversidade do Estado do Amazonas (BRAZIL)
Multimodal Fusion of Face and Palm Using Local Color Binary Patterns and Haralick Features

Face recognizable proof has drawn in numerous scientists because of its novel benefit, for example, non-contact measure for include obtaining. Varieties in brightening, posture and appearance are significant difficulties of face acknowledgment particularly when pictures are taken as dim scale. To mitigate these difficulties partially many exploration works have been completed by considering shading pictures and they have yielded better face acknowledgment rate. A strategy for perceiving face utilizing shading nearby surface highlights is depicted. Test results show that Face ID approaches utilizing shading neighborhood surface highlights astonishingly yield preferred acknowledgment rates over Face acknowledgment approaches utilizing just shading or surface data. Especially, contrasted and grayscale surface highlights, the proposed shading neighborhood surface highlights can give great coordinating with rates to confront pictures taken under extreme varieties in enlightenment and furthermore for low goal face pictures. The other biometric framework utilizes palmprint as quality for the recognizable proof and validation of people. The principal point is to extract Haralick highlights and utilization of probabilistic neural organizations for confirmation utilizing palmprint biometric quality. PolyUdatabase tests are taken from around 200 clients every client's 2 examples are gained. This palm print biometric recognizes the phony (fake) palmprint made of POP (Plaster of paris) and separates among living and non-living dependent on the entropy highlight. Test results portray that the eleven Haralick feature values are acquired in execution stage and productive precision is accomplished.
Immersive technologies in Yugra libraries

The experience of Yugra State Library and municipal libraries of Khanty-Mansi Autonomous District in applying immersive technologies is discussed. The immersive technologies are classified by form as implemented in Yugra public libraries. The most interesting practices are characterized. The conclusion is made that implementation of immersive technologies is a natural result of library evolution and a new platform for providing user services.
Easy construction of representations of multivariate functions with low-dimensional terms via Gaussian process regression kernel design

We show that Gaussian process regression (GPR) allows representating multivariate functions with low-dimensional terms via kernel design. When using a kernel built with HDMR (High-dimensional model representation), one obtains a similar type of representation as the previously proposed HDMR-GPR scheme while being faster, much simpler to use, and more accurate.
Utilization of the library recreational function through the Gasibu Library Bandung

Background of the study: One of the capabilities of the library is to provide pleasant conditions for relaxation that cannot be found at home. This research has the background to find out more about the recreational functions of public libraries through the Gasibu Bandung library which is located around the Gasibu field.&#x0D; Purpose: The purpose of this study is divided into two parts, namely to determine the recreational function of the library as a means of channeling reading hobbies and to find out the Gasibu library as a tourism developer of Bandung city.&#x0D; Method: The technique used in this research is a qualitative research technique with a case study method.&#x0D; Findings: The results of this study indicate that the Gasibu library is an appropriate informative recreation facility to serve as a means of channeling people's reading hobbies and the Gasibu library can add to the tourist attraction of Bandung city because of the uniqueness of the information center in the middle of recreational facilities.&#x0D; Conclusion: In fulfilling the recreational needs of its users, the Gasibu library is carried out by providing books that are suitable for its purpose. Novels and other literary forms, works of art, travel books, biographies, popular magazines, especially other recreational books. The Gasibu library building is also the main attraction because of its location in the middle of recreational facilities.
How to Split a Logic Program.

Answer Set Programming (ASP) is a successful method for solving a range of real-world applications. Despite the availability of fast ASP solvers, computing answer sets demands a very large computational power, since the problem tackled is in the second level of the polynomial hierarchy. A speed-up in answer set computation may be attained, if the program can be split into two disjoint parts, bottom and top. Thus, the bottom part is evaluated independently of the top part, and the results of the bottom part evaluation are used to simplify the top part. Lifschitz and Turner have introduced the concept of a splitting set, i.e., a set of atoms that defines the splitting. In this paper, We show that the problem of computing a splitting set with some desirable properties can be reduced to a classic Search Problem and solved in polynomial time. This allows us to conduct experiments on the size of the splitting set in various programs and lead to an interesting discovery of a source of complication in stable model computation. We also show that for Head-Cycle-Free programs, the definition of splitting sets can be adjusted to allow splitting of a broader class of programs.
Signal processing of nonlinear dynamic systems

Abstract The paper considers Hermite polynomials that act as a self-similar basis for the decomposition of functions in phase space. It is shown that the equations of behavior of nonlinear dynamical systems are simplified. It is also noted that the wavelet decomposition over Hermite polynomials reduces the number of approximation coefficients and improves the quality of approximation.
K-Means Clustering Video Trending di Youtube Amerika SerikatMencari Pola dan Pengelompokkan Video-video Trending

Youtube is the most popular video platform in the world today. Successful YouTubers can create videos that are widely viewed by many Youtube users around the world. A lot of viral videos on Youtube came from the United States. But, making viral videos on Youtube is a tough challenge, both for seasoned YouTubers and especially for new YouTubers. This research focuses on discovering the properties of these viral videos by clustering them into distinct clusters. K-Means algorithm is used for the clustering process. The purpose of this clustering process is to look for patterns in the data that were previously unseen. The result shows that the videos are divided into three clusters which are built from 3 variables; views, likes and dislikes. The patterns and insights found in this study can be useful for aspiring video makers who want to achieve success as a Youtuber.
Techniques for Staining Histological Sections to Identify the Microstructural Characteristics of Food Products

Microstructural studies of raw meat and products are becoming more and more popular and informative methods for studying the composition and quality of meat. Histological studies help to determine the type of raw material, its quality and product counterfeiting by some additives not specified by the manufacturer. However, this type of research is based on several methods enshrined in the Russian State Standards. The basis of these techniques is the survey staining with hematoxylin and eosin. When examining the freshness of meat and the characteristics of the fibers, such coloration is sufficient, gives an overall picture and fully satisfies the needs of both the customer and the researcher. However, researchers often face the challenge of identifying tissue in comminuted and heat-treated products. In this case, hematoxylin and eosin staining becomes insufficient. There is a need to visualize connective tissue, herbal supplements. Often tissues and additives become indistinguishable in color from animal tissues. This complicates the research process and increases its time intervals. Therefore, it becomes necessary to search for techniques for a clear identification of connective tissue. Such techniques are widely used in medicine and veterinary medicine, but they are not adapted for the study of meat products in accredited testing laboratories.
Research and Application of Facial recognition Algorithm in Audit Investigation

Abstract Aiming at the application scene of face image recognition in audit investigation, firstly, a face data set with corresponding environmental interference is simulated to increase the diversity of data; in the preprocessing stage, the improved method of adaptive histogram illumination balance and simulated glasses covering is used for image enhancement; in the model training stage, an optimal weight re overloading model training algorithm is proposed. The experimental results show that the accuracy, robustness and efficiency of face recognition in the application scene are improved by the improvement of image enhancement preprocessing and the model training of optimal weight reloading.
Sars-Cov-2, evolution and P1 mutation

COVID-19 virus, SARS-CoV-2 first reported from Wuhan City of Hubei Province of China became pandemic infectious disease of severe respiratory disorder. Globally 17.8 Cr population was effected within a short span of period leading to 38.6 L deaths. Coronoviruses are large enveloped RNA viruses of Coronaviridae. Coronavirus employs a complex gene expression and pathway system unique among RNA viruses. SARA-CoV-2 is reported to mutate and variants reported to have one specific mutation, D614G which is makes to spread faster. WHO is monitoring and assessing the evolution of SARS-CoV-2 and notified Variants of Concern (VOCs) and Variants of Interest (VOIs), in order to prioritise the activities globally on containing COVID-19 pandemic. Currently genetic lineages by GISAID, Nextstrain and Pango are in use to code variants detected and being labeled using letters of the Greek Alphabet, i.e., Alpha, Beta, Gamma and Delta etc. Presently 15 vaccines were developed based on the SARS-CoV-2 spike protein, of original Wuhan-hu-1 and being administered in different countries. Surveillance and monitoring of the genomic sequence of SARS-CoV-2 is being done on a priority as virus is mutating for development of effective vaccine or therapeutic measures. Only 0.8% of people in low-income countries have received a single dose out of 20.8% of the world population which is a big concern for vulnerable groups.
SISTEM INFORMASI KEUANGAN PRODUKSI SAWIT PADA PT. MENDALO PRIMA INTILAND (MPI)

Along with the increasing needs of companies in managing and processing data for increasingly complex operational activities at this time, of course a data processing and management system is needed that has a high level of effectiveness and efficiency. The purpose of this research is to build a Financial Information System for Palm Oil Production at PT. Mendalo Prima Intiland (MPI). With input requirements from the information system, namely admin data, harvesting employee data, position data, attendance data, harvest data, revenue data, and expenditure data. The form of the process carried out by the system to display the desired results in making process requirements information includes the login process, main menu display, harvesting employee data menu display, position menu display, attendance menu display, harvest menu display, salary menu data display, menu data display receipts and disbursements, as well as the supervisor menu display.The output requirements generated are in the form of information and reports that will be displayed in the form of harvest data reports, attendance data, salary data and salary slip data. This Financial Information System is a way to facilitate office administration in processing data, the expected results of a web-based information system using PHP and MySQL can fix all the shortcomings that exist in the old system.
Android-Based Fast-Track Scoreboard Application Development in Assessing Academic Writing

This research aims to describe the lecturers’ and undergraduates’ state, need, devel-opment, and effectiveness. R D covers several stages starting from exploration, development, and product testing. Research finding, the academic writing quality is far from what it is supposed to be, still conventional, and needs improvement. The draft is validated, identified, and implemented. The data in both control class (0.7704 0.7956) and experimental class (0.7910 0.7956) are in normal distribu-tion as the Lo Lt(α=0.05). Moreover, the data are homogenous since χ2o(2.20) is lower than χ2t(5.99) with α=0.05. It is found that to(12.37) tt(1.67) with α=0.05. Thus, android-based fast-track scoreboard application is more effective than con-ventional application.
Scene Graph Generation with Geometric Context

Scene Graph Generation has gained much attention in computer vision research with the growing demand in image understanding projects like visual question answering, image captioning, self-driving cars, crowd behavior analysis, activity recognition, and more. Scene graph, a visually grounded graphical structure of an image, immensely helps to simplify the image understanding tasks. In this work, we introduced a post-processing algorithm called Geometric Context to understand the visual scenes better geometrically. We use this post-processing algorithm to add and refine the geometric relationships between object pairs to a prior model. We exploit this context by calculating the direction and distance between object pairs. We use Knowledge Embedded Routing Network (KERN) as our baseline model, extend the work with our algorithm, and show comparable results on the recent state-of-the-art algorithms.
Sensitive Samples Revisited: Detecting Neural Network Attacks Using Constraint Solvers.

Neural Networks are used today in numerous security- and safety-relevant domains and are, as such, a popular target of attacks that subvert their classification capabilities, by manipulating the network parameters. Prior work has introduced sensitive samples -- inputs highly sensitive to parameter changes -- to detect such manipulations, and proposed a gradient ascent-based approach to compute them. In this paper we offer an alternative, using symbolic constraint solvers. We model the network and a formal specification of a sensitive sample in the language of the solver and ask for a solution. This approach supports a rich class of queries, corresponding, for instance, to the presence of certain types of attacks. Unlike earlier techniques, our approach does not depend on convex search domains, or on the suitability of a starting point for the search. We address the performance limitations of constraint solvers by partitioning the search space for the solver, and exploring the partitions according to a balanced schedule that still retains completeness of the search. We demonstrate the impact of the use of solvers in terms of functionality and search efficiency, using a case study for the detection of Trojan attacks on Neural Networks.
Region-Guided Pixel-Level Label Generation for Weakly Supervised Semantic Segmentation

The lack of reliable segmentation labels is the major obstacles to weakly supervised semantic segmentation. We provide a pseudo-label generation approach based on a deep convolutional neural network, which is supervised by the image-level category labels only. However, the limitation of the region of interest in the targets influences the effectiveness and integrity of the traditional methods in obtaining pixel-level mask annotations. This paper studies the characteristics of class activation mapping in classification network, focusing on the methods to enhance the localization ability of class activation mapping. We propose a Region-guided Pixel-label Generation framework (RPG) for semantic segmentation. The proposed region guidance mechanism decreases the influence of category supervision and makes use of the known high-level semantic information to guide the network, attaining more complete pixel-level annotations via expanding the regions of interest. Experimental results of training and validation on the PASCALVOC 2012 data set prove to achieve better pixel labeling and segmentation accuracy comparing with state-of-the-art methods.
New Liberal Arts Construction and Education Reform

The new liberal arts education is a hot topic in the current education reform. Around the new liberal arts curriculum construction and reform, universities and government departments are actively involved in it. There are obvious differences between liberal arts and science and engineering majors in talent training objectives, enrollment quantity, employment market, etc., as well as in training mode, teaching method and value building. In the face of more and more global crises, education should play a role in promoting the integration of liberal arts and other disciplines, and integrate humanistic spirit and value into knowledge system, interdisciplinary thinking and curriculum, which will help to solve a series of problems caused by the opposition between arts and science.