Reviewerly/exHarmony huggingface dataset:
SQL Injection Attack Detection in Websites

Web applications are broadly used in nowadays.The demand of e-commerce websites are also increase today and it fully depends on cash exchange services like on-line banking, e-shopping, on-line charge installment, Currency exchange, and more.SQL is defined as the midstream of mesh server and database server scripting languages which is used for execution processes.Mesh server waits to catch request from users and it helps to answers back through web browser HTTP response.So it is indispensable to maintain their records confidentiality from intruders.SQL Infusion assault is one of the top most attacks which are done by intruders to hack database records without web admin knowledge.Detection of SQL Infusion Assault is quite different from other attacks because intruders changed SQL query behavior by inserting some inputs through input forms.This work completely focused to discover and avoid SQL Infusion Assault in E-Commerce websites.The research work identifies the SQL assault infusion by proposing the methodology which includes validation process and encryption process to adopt information security principles.In the first module, projected experiments holds sample dataset not real dataset for particular ecommerce sites.It contains user login details such as userid, username, secret key and so forth.This login details helps to investigate unauthenticated client in their sites by using exposure tool.In the second module, every client is given a client name and secret word, utilizing structure based verification is given, when the client name and secret word matches, they are offered access to different modules and they can see the products.Third module is Input validation is validated automatically when user enter their login details into the input form.Information approval keeps dishonorably shaped information from entering a data framework .Finally, Anomaly Detection module focus on the request which have been received by the web server, users can see that the request which just incorporate words or digits or a mix of these two, can never contain assaults against the web server.
Pembelajaran Bahasa Inggris Berbasis Bisnis Pariwisata

The Community Dedication activity is an activity to help other communities in certain situations without expecting anything in return. This dedication activity is carried out using a participatory action research (PAR) approach in the tourism sector in Goa Gong Pacitan. This activity uses 3 stages in its implementation namely preparation, implementation of activities, and evaluation of activities. The target of this activity is the people around Goa Gong Pacitan who work as tour guides and who have other livelihoods. The aims of this activity is to improve the ability of English speaking for the people around Goa Gong Pacitan, and to provide the motivation and awareness to the people around tourist attractions in learning English. This article is a kind of qualitative describing and explaining descriptively. The result of this activity is the training participants can learn English well, they can understand teaching techniques both in terms of context and vocabulary of English, there is a sense of confidence in communicating using English, the availability of training places, and the availability of a place for coordination/deliberation.
Language and Communication Discourses in Conflict Management: A Case Study of the Anglophone Crisis in Cameroon

This paper sets out to analyse the language and communication strategies that are being used in attempts at resolving the crisis; to determine if these strategies are liable in the escalation or de-escalation of the conflict. It has been noticed that the language and Communication used by the social actors to manage the Anglophone conflict in Cameroon has not been effective, and thus futile. This research aims at investigating the role language and communication play in the process of conflict management and resolution. It sought to examine the ways language is being used in resolving the Cameroon Anglophone conflict. This paper is undertaken within the framework of the Critical Discourse Analysis which studies the way social power abuse, dominance and inequality are enacted, produced and resisted through text and talk and Systemic Functional Linguistics which holds that one does not speak and write in isolated sentences but in meaningful units called texts which are produced in and influenced by context. The research approach used in this study was the qualitative design. The data was collected with the aid of 3 interviews and content analysis of 3 speeches of the Head of State on the Anglophone conflict. The data was analysed using the content analysis method. From the findings, it was discovered that the language and communication used in managing and resolving the crisis is not adequate enough to put an end to the crisis. The choice of words used by the actors rather cause pain, anger, and hurt in the hearts of the people rather than easing the pain, thus escalating the conflict. The findings of the study indicate amongst others that the actors of the conflict do not make use of the language strategies in their attempts at resolving the crisis probably because they do not give language the important role it plays in conflict resolution. The communication strategies used in managing the crisis is not efficient enough to successfully resolve it, and the vocabulary used by the actors of the conflict rather cause the conflict to escalate as they rather cause hurt and anger in the hearts of fellow actors, causing more violent actions to be exhibited.
Face Recognition Based Automated Student Attendance System

Abstract: The Oxford Dictionary defines a face because the a part of a man or woman's head from the brow to the chin. In human interactions, the face is the maximum giant issue as it incorporates vital facts approximately an person. All people will well known human beings from their faces. The proposed answer is to broaden an running prototype of a gadget that could facilitate elegance attendance control for the academics withinside the school rooms through detecting the faces of students from an photograph taken in a school room. The database can shop the faces of students, as soon as the face of the person fits with one in all of the faces held withinside the database then the attendance is recorded. In latest years, evaluation has been allotted and face reputation and detection structures are advanced. A wide variety of those are used on social media structures like Facebook, Banking apps, authorities offices, etc. In today’s aggressive world, with very much less school room time and growing operating hours, teachers can also additionally want equipment that may assist them to manipulate treasured elegance hours efficiently. Instead of that specialize in teaching, teachers are caught with finishing a few formal duties, like taking attendance, keeping the attendance document of every scholar, etc. Manual attendance marking unnecessarily consumes school room time, while clever attendance via face reputation strategies enables in saving the school room time of the lecturer. Attendance marking via face reputation may be implied with inside the school room through shooting the photograph of the scholars with inside the school room thru the digital digicam installed.
Bio Inspired Algorithms for Dimensionality Reduction and Outlier Detection in Medical Datasets

Dimensionality Reduction is one of the useful techniques used in number of applications in order to reduce the number of features to improve the productivity and efficiency of the task. Clustering is one of the influential tasks in data mining. Dimensionality reductions are used in data mining, Image processing, Networking, Mobile computing, etc. The elementary intention of this work is to apply dimensionality reduction algorithms and then cluster the datasets to detect outliers. A bio-inspired ACO (Ant Colony optimization) algorithm has been proposed to reduce dimensionality. Also another bio-inspired algorithm FA (Firefly Algorithm) has been proposed to detect outliers. The three distinct medical datasets: thyroid dataset, Oesophagal dataset and Heart disease dataset are used for experimental results.
The technique to solve equations of the first degree. A case study

In Mexico we can find upper secondary teachers who, sometimes, are forced to teach mathematics even though their profile is different. This document is aimed to identify the technique –mathematical methods– that a teacher from the Mexican Telebachillerato subsystem (high school) uses to help students to solve the type of tasks related to first-degree equations. This proposal is part of a research project where thirteen teachers participated, and who allowed to be observed twice teaching mathematical contents according to their study program. The purpose of observation works was to make them a discussion object with the participants. This is a study case research. The results show that the teacher creates a technique focused on obtaining determinants to solve types of task about system of equations, but the theory which proves its functionality is reduced to a more didactic than mathematical discourse. In the classroom, techniques to solve problems are taught, but these remain unprotected from mathematical theories (mathematical argument) that can validate their functionality, the student is the one who has to infer o build his own theory from the teacher’s technique.
Comparison of the Autoregressive Vector VAR with the Dynamic Error Correction Vector DVECM for Modeling COVID-19 Deaths

In this article, the Vector Auto-Regressive model and the Dynamic Error Correction Vector Model will be used in modeling data representing the number of deaths due to infection with the COVD-19 virus as a dependent variable and the variable platelet rate in the blood as an independent variable and finding the model equations that represent the relationship between the two variables using the two models and then estimating the equations that were obtained by estimating the two models using the least squares method, then choosing the best estimated equation from each model, and then, using the standard error of the regression and the coefficient of determination, selecting the best equations from the two models. The Dynamic Error Correction Vector Model is superior to the Vector Auto-Regressive model in assessing the link between corona virus mortality and the proportion of platelets in the blood, according to the analysis carried out using the E-Views application, and that there is a direct relationship through the equation for the Dynamic Error Correction Vector Model between the deaths of the corona virus and the proportion of platelets in the blood in the long term, which is logical as a result of the increase in the impact of the deaths of the Corona virus, the increase in the platelet rate, and thus the increase in the deaths of the corona virus.
DIDACTIC AND METHODOLOGICAL FEATURES OF SCHOOL TEXTBOOKS OF COMPUTER SCIENCE 80S OF ХХ CENTURY

Despite changes in education and society, the textbook remains one of the most important teaching aids. The school textbook on computer science has almost thirty-seven years of history during which has undergone significant changes in content and structure. The analysis of scientific works on school textbooks showed that the problem of creating textbooks on computer science in the 80s of the XX century remained out of the attention of scientists. Therefore, the article presents the results of a study of didactic and methodological features of school textbooks on computer science in the 80s of XX century. The structure of textbooks was clarified with the help of structural analysis, the educational text, control blocks, knowledge acquisition, practical mastering, illustrative material were analyzed. The study analyzes the textbooks that were introduced in Ukrainian schools in the period from 1985 to the late 80’s of XX century. Describes the chronology of the creation of trial textbooks in computer science for schools. Approximate curricula for the course “Fundamentals of Electronic Computer Science” are presented, which allowed the author to identify the dynamics of changes in content. Trends in the creation of educational literature on computer science have been studied. It was revealed that with the advent of electronic computers in educational institutions and their introduction into the educational process, variants of curricula for machine and machine-free computer science courses were developed. It was also found that the common features in the textbooks are the focus on programming and algorithmization, compliance with the requirements of the curriculum. Distinctive features are the presentation of the material, illustrative material, the sequence of studying topics, the apparatus of orientation. The general trend in the creation of educational literature on computer science in the 1980s of the XX century was to study algorithmization and programming, and control and verification units were aimed at the practical solution of problems in mathematics and physics with the help of algorithms.
A Note on α-stable and α-inverse Gaussian Laws

In this article we obtain the first passage time distribution of α-stable Levy processes. We derive the moment estimators of the parameters of α-inverse Gaussian laws and also their asymptotic distribution.
Bayesian reciprocal bridge composite tobit quantile regression

A composite tobit quantile regression approach is proposed for Bayesian simultaneous covariate selection and estimation in the setting of left censored regression. The proposed approach uses prior distributions for the regression coefficients that are scale mixtures of inverse uniform priors on the coefficients and independent Gamma priors on their mixing parameters. The proposed method was illustrated using simulation examples. Results show that the proposed method performs very well compared to the existing method.
Creative figure of V. I. Sokalskyi as Kharkіv genius loci in Z. B. Yuferova’s res omnis aetatis

Statement of the problem. The article aims to recreate the features of two historical portraits: the composer and musical critic V. Sokalskyi (1863–1919), whose name belongs to the history of the “pre-conservatory” musical Kharkiv, and the researcher of his work Z. Yuferova (1931–1999), whose monograph dedicated to V. Sokalskyi has become a matter of life (“res omnis aetatis”). The innovative element of the study is the development and introduction into musicology the dialogical research method, which allows identifying the researcher’s scientific method by analyzing the composer’s creative portrait, which she recreated in her work. The methodological basis of the study is supplemented by historical-cultural and historical-contextual analyses based on the material of Z. B. Yuferova’s monograph (2014, published posthumously) dedicated to V. I. Sokalskyi. Conclusions and results of the study. Dialogic research method made it possible to create a double historical portrait, which, on the one hand, reveals the features of the composer’s creative thinking, on the other hand, exposes the researcher’s professional qualities. According to Z. Yuferova, V. Sokalskyi is a pioneer of many genres in Ukrainian music; a person with high human virtues, chivalrous courage of his critical judgments, sincere service to the cultural flourishing of his native city. In turn, the personality of the researcher is characterized by her respect for historical facts, motivated problem analysis, systemic thinking, careful reproduction of the cultural background, reasonable conclusions, and encyclopedic knowledge. High professionalism embodied on the pages of Z. Yuferova’s substantial monograph gives every reason to agree with her assessments, and along with the recognition of the composer and music critic Sokalskyi as a “genius” of artistic Kharkiv at the turn of the 20th–21st centuries, to consider him a much more prominent all-Ukrainian figure. The introduction of V. Sokalskyi’s works into educational and concert programs should become an important prospect for the further revision of the history and renewal of the performance repertoire of the national musical culture.
Postmodernism as a Worldview in the Context of Formation of Artistic and Pedagogical Competence of Future Teachers of Fine Arts

The specificity of the process of professional training and formation of future teachers of fine arts is due to the direction of art and pedagogical education, the peculiarities of communication with art, approaches to the use of its educational potential. Therefore, in determination of the principles of professional development of teachers of fine arts, the problem of theoretical and methodological understanding of the nature and content of decorative and applied arts in the preparation and professional development is actualized. On the one hand, this applies to how the artistic and aesthetic consciousness of the future teacher will be formed, and on the other - on what basis this teacher will educate his or her students. In accordance with the theoretical aspect of the formation of artistic and pedagogical competence of future teachers of fine arts in the process of studying of decorative and applied arts, a research was conducted. It made it possible to analyze the content, forms, methods and conditions of formation of artistic and pedagogical competence of future artists-teachers. Diagnostic research tools have been developed, which make it possible to identify the level of formation of the main structural components of artistic and pedagogical competence of future teachers of fine arts. The research showed an insufficient level of formation of artistic and pedagogical competence of future teachers of fine arts, which is characterized by a lack of thoroughness and systemness of knowledge in decorative and applied arts, by insufficient development of the emotional and sensual sphere of students and reproductive readiness for professional and creative activities.
MACE: Multi-Agent Autonomous Collaborative Exploration of Unknown Environments

In this paper, we propose a new framework for multi-agent collaborative exploration of unknown environments. The proposed method combines state-of-the-art algorithms in mapping, safe corridor generation and multi-agent planning. It first takes a volume that we want to explore, then proceeds to give the multiple agents different goals in order to explore a voxel grid of that volume. The exploration ends when all voxels are discovered as free or occupied, or there is no path found for the remaining undiscovered voxels. The state-of-the-art planning algorithm uses time-aware Safe Corridors to guarantee intra-agent collision safety as well safety from static obstacles. The presented approach is tested in a state of the art simulator for up to 4 agents.
Notes on Worst-case Inefficiency of Gradient Descent Even in R^2

Gradient descent is a popular algorithm in optimization, and its performance in convex settings is mostly well understood. In non-convex settings, it has been shown that gradient descent is able to escape saddle points asymptotically and converge to local minimizers [Lee et. al. 2016]. Recent studies also show a perturbed version of gradient descent is enough to escape saddle points efficiently [Jin et. al. 2015, Ge et. al. 2017]. In this paper we show a negative result: gradient descent may take exponential time to escape saddle points, with non-pathological two dimensional functions. While our focus is theoretical, we also conduct experiments verifying our theoretical result. Through our analysis we demonstrate that stochasticity is essential to escape saddle points efficiently.
Image Encryption using MVK Algorithm, El-Gamal and Chaotic Systems

Digital images are often transmitted in this modern era through various networks. Digital images are used in various fields like Medical, Military, etc. These images require high-security levels to prevent misusing and unauthorized access. There are several Image Encryption Techniques which are used to achieve image confidentiality; this paper presents a newer approach for Image Encryption which consists of 3 stages. MVK Algorithm is the first stage of encryption which is used to construct a permuted image and demolish the relationships among the adjacent pixels. El- Gamal Encryption Algorithm is the second stage of encryption which modifies permuted image; it is an alternative for RSA public key cipher. Third stage of encryption uses Lorenz system and Rossler system to achieve confusion and diffusion operations. To evaluate the effectiveness and security of the suggested strategy, a thorough analysis has been done. Visual and numerical results show that the proposed image cryptosystem can defend against a number of well-known attacks. Key Words: El-Gamal, Lorenz, Rossler.
Impact of Innovative Culture on Organizational Effectiveness: The ediating M Role of Social Media

Abstract: The aim of the present study is to examine the relationship amongst the three variables i.e., innovative culture (IC), social media (SM) and organizational effectiveness (OE). The study also aims to explore the mediating role of social media on the proposed relationship. Based on the proposed framework, data were collected from 732 faculty of Indian technical education institutions through selfreported questionnaires. The data were tested utilizing Structural Equation Modelling (SEM) technique. The findings revealed positive relationship between IC and OE. Social media indicated a two-dimensional model, namely utilitarian, and hedonic purpose. Further, results indicated that social media for hedonic purpose mediated the relationship between innovative culture and organizational effectiveness. This paper offers significant insights to Higher Educational Institutions (HEIs) that may help the institutions tounderstand the importance of social media that may affect organizational effectiveness. Till date, social media as a mediator has received less attention in the context of technical educational institutions in India. The establishment of social media as a mediator between IC and OE in HEIs is unique.The findings contribute to the existing body of literature on IC, social media, and OE in the non- Western context as the data were collected from the domain of private engineering colleges in India. Keywords: innovative culture, social media (utilitarian, hedonic), organizational effectiveness
EVALUATION OF GEOCHEMICAL PROPERTIES OF AGATES IN ALMUS (TOKAT) REGION

The Upper Cretaceous Artova ophiolite complex, represented by metabasic and ultrabasic rocks, overlies the Paleozoic aged Tokat metamorphites, which form the basis of the study area, by the tectonic boundary. Haydaroğlu formation, which includes Middle Eocene aged volcanogenic units, cuts and covers the older units. Agates (agates) in the Almus region are found in the form of nodules in the volcanogenic sandstones of the Haydaroğlu formation along an approximately E-W trending fault. The Lower Miocene aged Almus formation, which consists of sedimentary rocks such as sandstone, conglomerate and marine limestone, also unconformably overlies all units.&#x0D; Almus region agates contain on average 93.4% SiO2, 3.59% Fe2O3, 0.03% MgO, 0.72% CaO, 793 ppm Cr2O3, 12 ppm Ni, 13.4 ppm Cu, 4.7 ppm Pb, 35.4 ppm Zn. The high Cr and Ni in agates are associated with the Artova ophiolite complex in the region. Cu, Pb and Zn are associated with the early stages of volcanism. The high Fe2O3 content in agates is associated with hematite and goethite, and they were transported into agates before SiO2 emplacement. The CaO in the agate is the product of the last phase of the solution forming the agate, and MgO is associated with the presence of dolomite. &#x0D; Evaluation of the results of geochemical analysis shows that SiO2, which is the main component due to the hydrothermal activities that occurred after the rock formation of the Haydaroğlu formation, unlike the volcanic bedrocks of the agates according to the main oxides, trace and rare earth elements, was emplaced epigenetically as a result of the circulations in the volcanogenic sandstones.