Reviewerly/exHarmony huggingface dataset:
Cross-Site Scripting Detection Source Code to Prevent Cross-Site Attack by Using Taint Code Analysis

Abstract—PHP is a general purpose development language for creating web pages. Most grasp PHP syntax rather quickly and will within short time be able to produce a script that works using online tutorials, references and books. The problem is that most people forget the security aspect of PHP that one must consider when writing PHP application. Web application are written in PHP and have become major targets due to the large number of application. At the same time, cross-site scripting vulnerabilities continue to be identified in existing software threatening the security of client data. This application can identify Cross-site scripting vulnerabilities in code during the development process could reduce the number of vulnerabilities that make it into production code and threaten users.the most common web application vulnerabilities and mechanisms required to write secure code by leveraging PHP's unique features. Also mentioned are the common programming mistakes done by developers when building web applications and to protect against vulnerabilities.
ОРІЄНТАЦІЯ НА ОСОБИСТІСТЬ – МАРКЕР ІННОВАЦІЙ В ОСВІТНІЙ СФЕРІ

The educational realities of the 21st century are changing significantly under the influence of information technologies, the use of Internet resources and virtual practices in the educational process, the introduction of new standards of knowledge transfer. As a result, a polyspace of communication appears, where a confident and comfortable person who has broken the shackles of the Modern worldview, has abandoned the narratives and limitations of the Modern. One can observe a specific anthropo-axiological turn in education, which is a sign of the increasing role of the subjective factor. This necessitates qualitative changes in the educational process, the widespread use of innovative technologies and the latest methodological approaches, the attraction of information technologies capable of providing training for highly qualified specialists, which will ensure the prosperity and well-being of the country. However, only the changes in the educational process are not enough, since there is a need to form a new image of educator, who is aware of the cognitive, axiological, praxeological needs of the generation born in the age of globalization, postmodernism and total consumption, and capable of perceiving significant amounts of information, but requires the skills for its analysis. That is why the search-and-problematic thinking style, the ability to analyze information and to highlight the main point of interest are of great importance. The main guideline of modern education is the intellectual development of a person capable of productive cognitive activity, constant self-improvement and self-education. Therefore, methods of creative learning, acquisition and production of knowledge, the ability to formulate and solve problems, and independently search for necessary information in finding the answer to the problems posed by the teacher or the students themselves become especially relevant and required.
Assessment of quality of educational services of the university

The article assesses the quality of educational services of the University on the example of fgbou VO “KubSTU”. The concepts of quality of education and educational services are considered, which determine the main components of quality of education, consisting of four parameters: the object of receiving services, the subject of providing services, the process of providing services, the degree of customer satisfaction. Based on these components, the analysis of the quality of education “Kuban state University”, in which was investigated the following categories: number of students enrolled in the University, average grade of students enrolled in College on a budget, the number of educational programs, quality workforce, research and innovation activities, the level of satisfaction of employers with graduates. Based on the analysis of the main indicators characterizing the quality of educational services, it is concluded that quality management in “KubSTU” is effective and provides a high level of training of graduates, and to achieve modern quality of educational services of the University it is necessary to improve the quality system of education at all levels of management of higher education institutions.
Design and Implementation of a Blockchain Based Authentication Framework: A Case Study in the State Grid of China

Blockchain has been proved to be a promising technology for decentralized security data transmission and management, which can be applied to the user authentication framework especially for large company such as State Grid of China. In this paper we demonstrate the implementation of a blockchain based system for user authentication in electric information management system that covers many business and application aspects. The proposed framework first studies the security improvement user authentication by applying the blockchain technology and suggested a three step Consensus Mechanism based on Kafka sort function. Then the implementation of the proposed framework work is described and the features are analyzed. According to the experimental results, the proposed authentication framework for electric company is efficient and effective to improve their overall information security performance.
Applying Complexity Theory and Project-based Learning onto Project Designs of Complex Computing Systems

Fundamentals of Psychology, and the grad course of Learning
MCA-Based Rule Mining Enables Interpretable Inference in Clinical Psychiatry.

Development of interpretable machine learning models for clinical healthcare applications has the potential of changing the way we understand, treat, and ultimately cure, diseases and disorders in many areas of medicine. These models can serve not only as sources of predictions and estimates, but also as discovery tools for clinicians and researchers to reveal new knowledge from the data. High dimensionality of patient information (e.g., phenotype, genotype, and medical history), lack of objective measurements, and the heterogeneity in patient populations often create significant challenges in developing interpretable machine learning models for clinical psychiatry in practice. In this paper we take a step towards the development of such interpretable models. First, by developing a novel categorical rule mining method based on Multivariate Correspondence Analysis (MCA) capable of handling datasets with large numbers of features, and second, by applying this method to build transdiagnostic Bayesian Rule List models to screen for psychiatric disorders using the Consortium for Neuropsychiatric Phenomics dataset. We show that our method is not only at least 100 times faster than state-of-the-art rule mining techniques for datasets with 50 features, but also provides interpretability and comparable prediction accuracy across several benchmark datasets.
On some designs constructed from the groups $PSL_{2}(q)$, $q=53,61,64$

In this paper, we use the primitive permutation representations of the simple groups $PSL_2(53)$, $PSL_2(61)$ and $PSL_2(64)$ and construct 1-designs by the Key-Moori Method 1.It is shown that the groups $PSL_2(53)$, $PSL_2(53)text{:}2$, $PSL_2(61)$, $PSL_2(61)text{:}2$, $PSL_2(64)$, $PSL_2(64)text{:}2$, $PSL_2(64)text{:}3$ and $PSL_2(64)text{:}6$ appear as the full automorphism groups of these obtained designs.
Testing Properties of Multiple Distributions with Few Samples.

We propose a new setting for testing properties of distributions while receiving samples from several distributions, but few samples per distribution. Given samples from $s$ distributions, $p_1, p_2, \ldots, p_s$, we design testers for the following problems: (1) Uniformity Testing: Testing whether all the $p_i$'s are uniform or $\epsilon$-far from being uniform in $\ell_1$-distance (2) Identity Testing: Testing whether all the $p_i$'s are equal to an explicitly given distribution $q$ or $\epsilon$-far from $q$ in $\ell_1$-distance, and (3) Closeness Testing: Testing whether all the $p_i$'s are equal to a distribution $q$ which we have sample access to, or $\epsilon$-far from $q$ in $\ell_1$-distance. By assuming an additional natural condition about the source distributions, we provide sample optimal testers for all of these problems.
Emotion for Robots: A Collection of Trend Reports

This book is the product of an one-semester seminar dedicated to the topic of robots and emotion. The seminar Machine Intelligence is lectured at the Chair of Data Processing and constitutes an elective course in the curriculum of the Master of Science in Electrical and Computer Engineering, which is offered by the Faculty of Electrical and Computer Engineering of the Technical University of Munich (TUM). During the one-semester course students weekly meet for 2 hours in order to discuss and work on the subject. The workload is divided into group discussions and team work. Students have to read, write, review and present their findings on a weekly basis. To this end new digital e-learning tools and methods were employed along with discussion styles such as world-cafe or speed-dating discussions. Presentations were given as Pecha Kuchas 1 , which depict highly precise and condensed presentation sessions, while also creating a spontaneous and fun atmosphere. Throughout the seminar participating students should learn fundamental aspects of scientific research along with honing the skills in oral and written communication in a scientific or technical field. The intention for the students in the course is to develop ideas and paths for future research in the field leading towards insights and methods necessary to design and implement intelligent systems in the broader sense of the word. In a total of eight trend reports, students present different perspectives on the coincidence of robots and emotions, analyze trends, identify key drivers as well as challenges, and point out future research directions. The topics include applications of emotions in robots, identification of human emotions, technical aspects of implementing emotions in robots or learning algorithms, and benefits of emotional robots for human-robot interaction.
Application of Semantic Technologies for Processing Related Data in Geographic Information Systems

Methods of building data warehouses for geographic information systems are considered. The semantic warehouse architecture data that provides distributed information processing capabilities is proposed.
Functional Requirements Specification of E-Tendering Using Natural Language Approach: Towards Innovative Business Transformation

Recently, business transformation towards the used of Information and Communication Technology (ICT) is a necessity toward rapid industries and the paradigm shifted to sustain business competitiveness. The holistic electronic approach is one of business innovations, especially in handling a lot of tender documentations and process in an electronic environment namely as e-Tendering. Unfortunately, the existing tender process transformation in the electronic approach is not properly followed certain standard and guideline, especially in establishing a good e-Tendering functional requirements specification to ensure the organizations would be in the best served. This is important to ensure a good e-Tendering system can be developed by e-Tendering developers based on a good e-Tendering functional requirement specifications. The requirements specification is a process of documenting user and system requirements. Commonly, user and system requirements should be clear, unambiguous, easy to understand, complete, and consistent. In practice, this is difficult to achieve due to interpretation of the requirements in different ways by stakeholders, which are often inherent conflicts and inconsistencies of the requirements. The implementation of the existing e-tendering still remains uncertainties, especially in defining the functional requirements of the e-tendering system. Therefore, this study aims to construct the e-Tendering functional requirement model using requirement template in natural language representation approach. Moreover the development of this system requirement model may provide a consistency to the requirements representation. The study uses UN/CEFACT Business Standard of the e-Tendering Business. The identified functional requirements are designed by using Requirement Template to ensure the reliability and understandability of requirements. Besides, the proposed functional requirements is constructed by adapting the natural language and verified by expert review approaches. As a result, this study proposed a functional requirements specification of the e-Tendering that contains detailed description which can be referred by software practitioners in developing a secure e-tendering system effectively.
ANALISA MANAGEMENT BANDWIDTH MENGGUNAKAN QUEUE TREE SEBAGAI TRAFFIC CONTROL DENGAN METODE PFIFO

In this research conducted the research of bandwidth Management which is a technique of setting the amount of bandwidth in uploading and downloading data. Bandwidth Management is done using the queue tree algorithm on the OS Router. In this research method used is the method Pfifo, where the method is applied to the Router OS so that it can be done a comparison to the parameter-Paramer Quality of Service (QoS) before and after applied to the Router OS. The values of the Quality of Service (QoS) parameters are obtained by uploading a data to a website and then downloading the data. In this research, traffic control separates upload and download traffic, while applying packet queues through the OS Router. Results obtained in the form of Internet traffic changes that have exceeded the size of 22MB are moved on heavy traffic.
Moving Target Detection Algorithm on Dynamic Water Surface Based on Sparse Model

A dynamic water surface image is divided into image blocks and they are similar. A sparse model is effective for representing these image blocks. Therefore, a sparse model-based algorithm is proposed for surface moving target detection. In this algorithm, training sample image blocks are collected from a moving target video, and then a dynamic water background dictionary is trained by using KSVD and OMP algorithms based on sparse representation theory. In moving target detection, a frame image is divided into image blocks sequentially and the water surface background is reconstructed by a sparse model. The initial moving target image is calculated. Finally, the initial moving target image is processed without interference. The final moving target image is obtained. Experimental results show that the proposed algorithm is effective in detecting moving targets on the dynamic water surface.
Tecnologías para el aprendizaje y el conocimiento: un estudio bibliométrico

Due to the impact of technologies in the educational context, in this dissertation, we intend to analyze trends of research carried out in the field of Learning and Knowledge Technologies (LKT) through a bibliometric analysis of scientific production on Scopus database.An amount of 59 articles, published between 2002 and 2018, are included.The results indicate an increase in the last years of the presence of scientific publications in journals in the field of Social Sciences, and a wide dispersion in journals of very different areas such as Engineering, Mathematics or Medicine.The data show that, the number of articles and the impact of these are still scarce in the area of social sciences; the weight of our country is preferred in this field and ends this text with some proposals to lines of future investigation.
Innovation Processes and Technologies for Improvement and Support of Education

The education institutions present a complicated economic and social ecosystem with many processes that are constantly under pressure from many stakeholders. Learning organizations are trying to find ways to improve them, but they crash at unmistakable claims about the need to build extensive infrastructure for modernization, innovation and greater efficiency. This approach creates requirements for the maintenance and operation of complicated technologies that naturally requires additional resources, both financial and human. In our contribution, we want to present innovative approaches in processes of education based on the agile event management. The agile environment enforces to use the intelligent tools through providers, third parties, allowing automation of service management and replacing many manual activities. Automation provides two-way real-time communication that creates space for users quickly respond to different needs, events and increase productivity.This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
AI IN CREATIVITY AND VALUES IN SOCIETY

Abstract: Creativity is a fundamental feature of human intelligence, and a challenge for AI. AI techniques can be used to create new ideas in three ways: by producing novel combinations of familiar ideas; by exploring the potential of conceptual spaces; and by making transformations that enable the generation of previously impossible ideas. AI will have less difficulty in modelling the generation of new ideas than in automating their evaluation.0 1998 Elsevier Science B.Y All rights reserved.
Information Encryption Algorithm Based on Aes and Hyperchaotic System

In recent years, online shopping has developed rapidly, and traditional express slips mark consumers 'names, phone numbers, addresses and other private information in plain text, which greatly increases the risk of information leakage. In this paper, a new plaintext encryption algorithm is designed based on the AES algorithm and the hyperchaotic system. This algorithm uses three four-dimensional hyperchaotic systems as candidate key generators, then randomly selects one of them using a random function, and finally combines the chaotic sequence generated by the key generator with good randomness and AES algorithm to encrypt the order information. Not only the key space of the algorithm is enlarged, but also the robustness of the encryption algorithm is improved. The user's private information can also be protected at the source, which prevents the user's information from leaking and improves the distribution efficiency of the terminal logistics node.
PENGARUH PENERAPAN TEORI FLAVELL TERHADAP KEMAMPUAN BERHITUNG ANAK KELOMPOK B DI TK NEGERI PEMBINA INDRALAYA SELATAN

The influence of the application of the theory flavell of the ability of counting on child which was carried out on group B in TK Negeri Pembina Indralaya Selatan with the kind of research pre-eksperimental with the design one shoot case study. Technique the sample used is purposive sampling with consideration of count remain low class B2. Sample were 20 children. Treatment done as many as five times and each performed posttest. Posttest used a test of what consisting of 5 indicators.A value on every posttest totaled divided 5 obtained the average score 76,75. As data was hypothesized was the data on that is in class a lower limit intervals to a category bsh namely 63. From our analysis data is collected t value = 4,11 ? t table value = 1.73 with the economic situation of significant 5 percent and dk ( 19 ) so that concluded is the theory Flavell of the ability of count children group B in TK Negeri Pembina Indralaya Selatan. This can be seen in every indicator four of the five indicators dominant appear that is connecting the number of pictures by in number , rank the number of , distinguish the concept of many little, counting the results of reduction. While an indicator that less appear counting the results of a sum. Is expected in learning next was even more many trained indicators counting the results of a sum according to the theory Flavell with to the media to learning.
PERSPECTIVES OF ELLIPTICAL CRYPTOGRAPHY TO ENSURE THE INTEGRITY AND CONFIDENTIALITY OF INFORMATION

In this article, the main problems underlying the current asymmetric crypto algorithms for the formation and verification of electronic-digital signature are considered: problems of factorization of large integers and problems of discrete logarithm. It is noted that for the second problem, it is possible to use algebraic groups of points other than finite fields. The group of points of the elliptical curve, which satisfies all set requirements, looked attractive on this side. Aspects of the application of elliptic curves in cryptography and the possibilities offered by these algebraic groups in terms of computational efficiency and crypto-stability of algorithms were also considered. Information systems using elliptic curves, the keys have a shorter length than the algorithms above the finite fields. Theoretical directions of improvement of procedure of formation and verification of electronic-digital signature with the possibility of ensuring the integrity and confidentiality of information were considered. The proposed method is based on the Schnorr signature algorithm, which allows data to be recovered directly from the signature itself, similarly to RSA-like signature systems, and the amount of recoverable information is variable depending on the information message. As a result, the length of the signature itself, which is equal to the sum of the length of the end field over which the elliptic curve is determined, and the artificial excess redundancy provided to the hidden message was achieved.
Understanding the Various Perspectives of Earth Science Observational Data Uncertainty

Information about the uncertainty associated with Earth science observational data is fundamental to use, re-use, and overall evaluation of the data being used to produce science and support decision making. The associated uncertainty information leads to a quantifiable level of confidence in both the data and the science informing decisions produced using the data. The current breadth and cross-domain depth of understanding and application of uncertainty information, however, are still evolving as the practices associated with quantifying and characterizing uncertainty across various types of Earth observation data are diverse. Since its re-establishment in 2015, the Information Quality Cluster (IQC) of the Earth Science Information Partners (ESIP) has convened numerous sessions within the auspices of ESIP and the American Geophysical Union (AGU) to help collect expert-level information focusing on key aspects of uncertainty of Earth science data and addressed key concerns such as: 1) how uncertainty is quantified (UQ) and characterized (UC), 2) understanding the strengths and limitations of common techniques used in producing and evaluating uncertainty information, 3) implications using uncertainty information as a quality indicator 4) impacts of uncertainty on data fusion/assimilation, 5) various methods for documenting and conveying the uncertainty information to data users, and 6) understanding why certain user communities care about uncertainty and others do not. A key recommendation and action item from the ESIP Summer Meeting 2017 was for the IQC to develop a white paper to establish a clearer understanding of the concept of uncertainty and its communication to data users. The information gathered for this white paper has been provided by Earth science data and informatics experts spanning diverse disciplines and observation systems in the cross-domain Earth sciences. The intention of this white paper is to provide a diversely sampled exposition of both prolific and unique policies and practices, applicable in an international context of diverse policies and working groups, made toward quantifying, characterizing, communicating and making use of uncertainty information throughout the diverse, cross-disciplinary Earth science data landscape.