Reviewerly/exHarmony huggingface dataset:
Improved Impossible Differentials and Zero-Correlation Linear Hulls of New Structure III

Impossible differential cryptanalysis and zero-correlation linear cryptanalysis are two kinds of most effective tools for evaluating the security of block ciphers. In those attacks, the core step is to construct a distinguisher as long as possible. In this paper, we focus on the security of New Structure III, which is a kind of block cipher structure with excellent resistance against differential and linear attacks. While the best previous result can only exploit one-round linear layer P to construct impossible differential and zero-correlation linear distinguishers, we try to exploit more rounds to find longer distinguishers. Combining the Miss-in-the-Middle strategy and the characteristic matrix method proposed at EUROCRYPT 2016, we could construct 23-round impossible differentials and zero-correlation linear hulls when the linear layer P satisfies some restricted conditions. To our knowledge, both of them are 1 round longer than the best previous works concerning the two cryptanalytical methods. Furthermore, to show the effectiveness of our distinguishers, the linear layer of the round function is specified to the permutation matrix of block cipher SKINNY which was proposed at CRYPTO 2016. Our results indicate that New Structure III has weaker resistance against impossible differential and zero-correlation linear attacks, though it possesses good differential and linear properties.
Experimental Research on Multimedia Mode in the Teaching of College Physical Education Development Training

Today, with the rapid and rapid development of science and technology, science and technology are continuously used in all walks of life, especially in the teaching process, becoming an important means of modern teaching.This kind of reform and development has a better development of teaching quality and level.Great improvement.Multimedia teaching has the advantages of large amount of information, rapid feedback, rich content and high interaction efficiency.Multimedia teaching can also improve students' interest in learning, motivate students' craving for knowledge, help students improve their learning efficiency, and thus reach the ability to cultivate students' independent learning. .As a modern physical education teacher, we should keep pace with the times, master modern science and technology such as multimedia, and combine with traditional physical education in the past to better serve students' physical education.College sports development training is a special stage of student training.College sports development training can not only enhance students' physical quality, improve students' performance of sports development training, improve the overall level of sports development training, and is of great significance for providing backup talents for China. .This paper focuses on the advantages and problems of multimedia technology in assisting college basketball development training, adheres to the spirit of student-oriented, fully considers the physical and mental characteristics of middle school students, explores effective strategies for strengthening the application of multimedia technology in sports development training, and uses multimedia for colleges and universities in China.Provide reference for auxiliary sports development training.
Quantum Cryptography for IoT System Security

Internet of things (IoT), is a system of associated computing devices, digital and mechanical machines, objects, animal and people that are provided with their unique identifiers (UIDS). However, it is very much sensitive from several security threats. IoT is a wireless technology that correlates anything around the internet. Classical cryptography algorithm (like RAS) works well, but the technology is upgraded towards quantum computing, it has extensive power to break the classical cryptographic algorithm easily.IoT is one of the disciplines, which needs to be secured to prevent malicious activities. There is a need of a robust cryptosystem for IoT. In this paper the review of quantum cryptography for IoT system security. The explanation of what are the security threats and quantum key distribution by using the essence of quantum and IoT system.
Outlier node localisation in sensor networks based on double layer modified unscented Kalman filter

Traditional sensor network abnormal node localisation has some problems, such as low positioning accuracy, high positioning time cost and so on. The range of motion of abnormal nodes is determined ...
Robust Image Cropping by Filtering Composition Irrelevant Factors

Numerous factors can impact the aesthetic quality of images: composition, resolution, exposure, color saturation and so on. Image cropping is to improve the aesthetic quality by recomposing the images. When the only consideration of an image cropping system is composition, the automatic image cropping algorithm should be single input single output system (SISOS). However, most of the existing approaches are multiple input multiple output systems (MIMOS) which consider image composition and image aesthetics synchronously. In these MIMOSs, cropping result may change when composition irrelevant factors (e.g., resolution, exposure, color saturation) varies, which is undesirable to users. Based on this observation, we try to discriminate image composition and aesthetics to get a SISOS based on composition by the saliency map. From our observation, although the saliency map is robust to the composition irrelevant factors, it is a less informative data format for composition. Hence, it is transformed to the salient cluster that is similar to point cloud. The salient points in salient cluster can directly describe the spatial structure of an image, so the salient cluster can be treated as an expression of composition and serves as the only input of the proposed model. Our model is designed based on PointNet and made up of content screening module (CSM) and composition regression module (CRM). CSM extracts the points of interest and CRM outputs a cropping box. The experimental results on public datasets shows that, compared with prior arts, our network is more robust to composition irrelevant factor with a comparable or better performance.
Governing the Public-Private-Partnerships of the Future: Learnings from the Experiences in Pandemic Times

When observing countries’ responses to COVID-19, conclusions can be drawn on the modalities, successes, failures and governance challenges of partnerships between the public and private sectors during the pandemic. In the United Kingdom, Israel and Austria, these partnerships have contributed substantially to the overall emergency response, albeit with gaps and weaknesses in their structures and processes. These have differed from those of typical public-private partnerships. To be sustainable, partnerships need to be based on key principles of good governance, notably transparency and fairness as well as equity and social justice, all of which may be strengthened both during and post-pandemic.
Comparison of multiple deep models on semantic segmentation for breast tumor detection

The early diagnosis of breast tumor detection is the most significant research issue in mammography. Computer-aided diagnosis (CAD) is one of the highly essential methods to prevent breast cancer. This research work explored the effectiveness of deep-based pixel-wise segmentation models for low energy X-rays (mammographic imagery) to detect tumors in the breast region. For this purpose, various semantic segmentation models were incorporated into the experimental procedure. All the models were analyzed using the medical images dataset, which was gathered and annotated from one of the largest teaching hospitals in the Khyber Pakhtunkhwa province, known as Lady reading hospital. It is coordinated in cooperation with local health specialists, radiologists, and technologists. The comparative analysis of the incorporated segmentation techniques' performance was observed, selecting the most appropriate model for detecting tumors and normal breast regions. The experimental evaluation of the proposed models performs efficient detection of tumor and non-tumor areas in breast mammograms using traditional evaluation metrics such as mean IoU and Pixel accuracy. The performance of the semantic segmentation techniques was evaluated on two datasets (Cityscapes and mammogram). Dilation 10 (global) performed the best among the four semantic segmentation models by achieving a higher pixel accuracy of 93.69%. It reflects the effectiveness of the pixel-wise segmentation techniques by outperforming other state-of-the-art automatic image segmentation models.
A Parallel Implementation of Liveness on Knowledge Graphs under Label Constraints

Knowledge graphs are used extensively in various fields. Labor-intensive and time-consuming error detection for large-scale knowledge graphs significantly increases the need for efficient model checking algorithms in large-scale graphs. Since conventional algorithms are inefficient on such graphs, we propose a new liveness algorithm of knowledge graphs, under a specific given set of labels. By trimming and marking the graphs alternately, a weakly connected components algorithm is then designed to separate graphs into several disjoint sets and a bidirectional forward-backward algorithm computes strongly connected components in each set in parallel. We have implemented our algorithm on a real medical knowledge graph and several open data sets. The evaluation shows that our algorithm achieves up to 11.2x speedup over conventional algorithm with 16 threads.
PENGGUNAAN MEDIA KONKRET DALAM PEMBELAJARAN MATEMATIKA DI SEKOLAH DASAR

Abstract The learning process is a process in which there are interaction activities between teachers and students as well as reciprocal communication that takes place in educational situations to achieve learning objectives. The facilities and facilities used in the learning process greatly affect learning outcomes, one of which is learning media. The use of concrete media in the teaching and learning process can clarify the presentation of messages and information so as to facilitate and improve learning processes and outcomes. The purpose of this study was to determine the use of concrete media for learning mathematics in elementary schools. This research is a qualitative descriptive study to describe the use of concrete media for learning Mathematics in Elementary Schools. Sources of data in this study are books and research journals that have been published. Data collection techniques using literature study and documentation. The results of this study indicate that the use of concrete media in learning mathematics in elementary schools can support student learning outcomes so that they get maximum results. Students in elementary school are at the stage of concrete thinking, where their mindset will tend to catch something that is concrete or real. With the concrete media students are not only able to understand the concepts in learning Mathematics, but are also able to think critically and logically in the face of learning. Keywords: Concrete Media, Mathematics.
INCREASING STUDENT'S COMPETENCE THROUGH GRAPHIC DESIGN TRAINING PROGRAM AT BALAI LATIHAN KERJA KARAWANG

The problem and purpose  in this study is based on the process, supporting and inhibiting factors, as well as the results in increasing the competence of learning citizens through graphic design training programs. To be able to answer the above problems, researchers used qualitative methods, data collection techniques in the form of observation, interviews, and documentation. The results showed that the process of increasing the competence of learning citizens consisted of several factors, starting with the recruitment stage of prospective learning citizens carried out very strictly, the steps in increasing competence had been carried out properly, updating materials according to the times, teaching media and teaching methods that according to the needs of learning citizens, as well as an assessment system that is viewed from two sides, namely theory and practice. The supporting and inhibiting factors are the interest, motivation and self-confidence of the learning community, facilities and infrastructure, costs, learning environment, to the competence of the instructor, all of which have been able to run well. And the learning outcomes in this graphic design training program have been running effectively and producing graduates who are in accordance with the goals that have been set previously. K eywords : competence, graphic design training program
Future Friend Recommendation System based on User Similarities in Large-Scale on Social Network

Friendship is one of the most important issues in online social networks (OSN).Researchers analyze the OSN to determine how people are connected to a network and how new connections are developed.Most of the existing methods cannot efficiently evaluate a friendship graphs internal connectivity and decline to render a proper recommendation.This paper presented three proposed algorithms that can apply in OSN to predict future friends recommendations for the users.Using network and profile similarity proposed approach can measure the similarity among the users.To predict the user similarity, we calculated an average weight that indicates the probability of two users being similar by considering every precise subset of some profile attributes such as age, profession, location, and interest rather than taking the only average of the superset profile attributes.The suggested algorithms perform a significant enhancement in prediction accuracy 97% and precision 96.566%.Furthermore, the proposed recommendation frameworks can handle any profile attribute's missing value by assuming the value based on friends' profile attributes.
Conservative Images of the Future in Russian Cinema

This article is devoted to the study of conservative images of the future in Russian cinema. By examining the film plots and analyzing the visual series, the author attempts to identify the most common elements of the images of the future – conservative elements that ensure their recognition.
한국어 학습자에 대한 다중언어주의적 접근 -국내 외국인 유학생의 외국어 학습 및 사용 경험을 중심으로-

The purpose of this study is to explore the language learning experiences of international university students studying abroad in Korea, and to examine their perceptions and attitudes toward plurilingual competence. 100 international students at a Korean university were surveyed on their experiences learning and using foreign languages, and additional in-depth interviews were conducted to examine how learners’ language learning experiences, perceptions, and attitudes toward plurilingual competence could impact Korean language learning. According to the survey, all participants have learned more than two languages, with 36% of participants having learned three, 11% having learned four, and 4% having learned five or more languages. English was the dominant initial language learned, while Korean was most often learned as a second or third language. Various language learning experiences confirm that learners - as plurilingual speakers - shape their communication skills through the interaction between language knowledge and learning experiences that comprise their language repertoire. Learners’ perceptions of plurilingual competence were generally positive, but they lacked awareness of themselves as a plurilingual speaker. The study found the need for cross-linguistic and intercultural teaching and learning methods alongside education policies that enable learners to recognize the value of their linguistic and cultural assets. (Korea University)
Optimal Prefetching in Random Trees

We propose and analyze a model for optimizing the prefetching of documents, in the situation where the connection between documents is discovered progressively. A random surfer moves along the edges of a random tree representing possible sequences of documents, which is known to a controller only up to depth d. A quantity k of documents can be prefetched between two movements. The question is to determine which nodes of the known tree should be prefetched so as to minimize the probability of the surfer moving to a node not prefetched. We analyzed the model with the tools of Markov decision process theory. We formally identified the optimal policy in several situations, and we identified it numerically in others.
Applications of VIKOR Methodin Supplier Selection: A Meta-Regression Analysis

Purpose -This study attempts to systematically analyze empirical studies using VIKOR method in solving supplier selection problem and to identify the factors affecting mean S (MS) scores through use of meta-regression analysis.Design/methodology/approach -The sample size of this meta-analysis study consisted of 44 empirical papers obtained from nine databases and meeting the inclusion criteria.Findings -Systematic review results revealed that the use of VIKOR method has been increasing rapidly in the solution of supplier selection problems.Meta-regression analysis results suggested that the number of decision makers, number of alternatives, number of criteria, country and sector variables did not affect MS scores.Discussion -Using the fuzzy VIKOR method to solve the supplier selection problem were identified to provide a lower MS score, while using the integrated VIKOR method ensured a higher MS score.Detailed studies will provide a better understanding of the relationship between MS scores and the qualities of studies reporting these scores.
AR-applications by means of Unity and C#.

In this paper, different gaming engines are considered and compared. Their advantages and disadvantages are revealed and on the basis of the collected data conclusions are made in the form of selection, from the list of the compared engines, the best. There is also a brief overview of existing solutions and methods of working with augmented reality.
Using Grammatical Cohesion in the Students’ Final Project Proposal :

The practice of grammatical cohesion is broadly significant to be procedurally employed for the students to accomplish academic writing. This scientific study informed how the grammatical cohesion in the texts applied to show the unity of the texts. This study was qualitatively designed to inform the units of grammatical cohesion which were realized in a single text of students’ manuscripts. The researcher served the documentation sheet as the principal instrument to classify the type of grammatical cohesion. The data analysis was taken from 10 manuscripts of the English students in UIN Walisongo in Academic Year 2019/2020. The findings then showed that the most usage of grammatical cohesion was grammatical conjunction with 238 occurrences, whereas the grammatical reference was 235 times; the grammatical ellipsis was 13 times, while the grammatical substitution was only 6 times. This study influenced students’ writing competence where they were advantaged to organize the final manuscript cohesively besides the teaching and learning practice
The Development of Web-Based Health Center Management Information System at Puskesmas Pinarik Using Codeigniter Framework

Information systems are one of the fields of science within the computer science family where technically it refers more to business processes and management of an application to the sustainability of business processes of institutions, industries or organizations. The need for information systems in the industrial world is increasing along with the development of technology which has very significantly grown, many models and technologies are offered to simplify the processes that take place in companies or in agencies to reduce and minimize errors and human-errors. This is also felt by a government agency in Batang Lubu Sutam District, where there is a Puskesmas that is still very overwhelmed in the administrative process because it has not utilized technology in managing the processes in the Puskesmas, both in terms of patient registration and other related processes. . The need for a Management Information System is the right solution for the Pinarik Health Center to improve the quality of service and administrative systems at the Puskesmas. In addition to speeding up the administrative process, the existence of a Management Information System will make it easier for patients visiting because the entire process has been systemised. The Management Information System that will be built at the Pinarik Health Center will use a web-based platform using the MVC (Model View Controller) model with the Code Igniter framework and MySQL as the database storage medium. It is hoped that with the Information Management System the administrative process of the Pinarik Health Center will be effective and efficient and provide convenience both for patients and for the Puskesmas itself in particular.
Measurement and control of external dilution in open-pit mines (Case study: Sungun copper mine)

The phenomenon of dilution is one of the undesirable consequences of mining that is caused by the unwanted mixing of tailings and minerals. Adverse effects of dilution include increased costs of extraction, transportation, processing, mining grade, and environmental degradation. Dilution control requires identifying the causes of the dilution. Field surveys of the East Azerbaijan Sungun copper mine, which is extracted by the open-pit method, show that factors such as dyke infiltration, contact of tailings blocks and mineral at the borders, sample error Vector and Murphy's errors (human error) are the factors influencing the dilution. In this study, in order to estimate the amount of external dilution (dilution due to dykes) of Sungun copper mine, geostatistical modeling (index kriging) was used. The external dilution rate of the mine (11.3%) was calculated. The amount of external dilution seemed to be higher than the maximum initial estimate of dilution in open-pit mines with mass reserves, but this number is reasonable given the presence of dykes. To reduce the external dilution due to the penetration of the dykes, it was suggested to use the XRF model 7000. Statistical data available before and during the use of the XRF device showed that when using the device, the daily average (actual) grade obtained is closer to the predicted grade. Also, the amount of external dilution due to dykes has decreased.
Detection of misogyny from Arabic Levantine Twitter tweets using machine learning techniques

Due to the increased abundance of user comments on the internet, such as Twitter, Arabic Text Detection (ATD) is one of the most difficult computational tasks for the machine learning field. Misogyny in Arabic text detection has become a touchy issue, especially among Arab women. Online misogyny has become a major threat to women in many countries, and online misogynistic harassment has grown in recent years In this article, we use misogynistic women in Levantine as a case study to build a new approach for detecting Arabic text. The suggested study's goal is to discover a novel Arabic text recognition algorithm for misogyny of women in Arabic countries. Our approach has been evaluated on the Arabic Levantine Twitter Dataset for Misogynistic, and we achieved an excellent accuracy of 90% using the BERTv2n in binary classification and 89 in multi classification .