Reviewerly/exHarmony huggingface dataset:
DEVELOPMENT OF INFORMATION-PEDAGOGICAL COMPETENCE FOR TEACHERS OF SECONDARY VOCATIONAL EDUCATION IN THE CONDITIONS OF EDUCATIONAL ORGANIZATION

The article is devoted to the actual problem of formation of information -pedagogical competence for teachers of secondary vocational education (SVO). The educational organization is assessed as a basis for advanced training in the field of new information technologies. The author of the article offers a program of additional professional education (advanced training) for implementation in an educational institution, focusing on the conditions for its implementation. On the example of the introduction of the proposed model in the work of the SVO institution, conclusions are drawn about the feasibility and effectiveness of using the additional education program to increase the level of information-pedagogical competence for college and technical teachers.
Modern copyright law and the problems of artificial intelligence development

This article examines the development of artificial intelligence in terms of its impact on the sphere of human activity, in particular, issues arising in connection with the copyright to works created as a result of close interaction between artificial intelligence and human. It also presents cases of occurrence of these problems and basic approaches to their solution from a legal point of view.
HDR Image Tone Mapping Approach Using Multiresolution and Piecewise Linear Perceptual Quantization

This paper discusses a new Tone Mapping (TM) approach converting a High Dynamic Range (HDR) image into a Low Dynamic Range (LDR) image able at the same time to extract the relevant details and enhance the contrast of LDR images to ensure a good LDR image visual quality.This approach uses an advantage of multiresolution and piecewise linear perceptual quantization.While multiresolution part at each resolution level extracts much more detail information from HDR image to become a LDR coarse image, perceptual quantizer part adjusts the LDR coarse by the pixel's distribution using a piecewise linear function so that the final LDR image can be visualized near human visual system.Simulation results provide good results, both in terms of visual quality and TMQI metric, compared to existing competitive TM approaches.
A method for detecting the profile of an author

This paper presents a method for detecting an author’s profile using the following two elements: gender and age. This is based on a set of dialogues, written in two languages: English and Spanish, provided for Author Profiling competence within the evaluation forum "Uncovering Plagiarism, Authorship, and Social Software Misuse" (PAN2018). Counts of lexical, semantic, and syntactic characteristics are used to generate a two-phase classification system, which first classifies gender and then age. The results obtained show that, with the amount of data available, it is possible to characterize both the age and gender of an author with an accuracy greater than 50%. However, these values could be improved by having more evidence of information in the training data.
Representation of Spatial Data Modeling Results Measles Diseases, Case Study in East Java Province

Background of the study: Measles is a major cause of child death caused by a lack of immunization when a child is a baby.Purpose: The discussion in this paper aims to describe the results of the analysis of the spatial data modeling of measles, knowing the percentage distribution of measles-prone areas, each district based on coverage on immunization status with good, average, fair and poor classification categories. The classification results include areas with good, average, fair, and poor immunization coverage status categories.Method: The method used i.e. with to requirement gathering information data from the East Java health profile book in 2011-2016 for the measles attribute, a literature study to describe the parameter requirements based on the coverage of immunization status (infant immunization status, PD3I, epidemic, and nutritional status), and selection of artificial intelligent (AI) system methods that are in accordance with data behavior for the spatial data modeling process in the formulation of alternative preference values with a decision-making system that involves multi-criteria parameters (multiple attributes decision-making/MADM) with Simple Additive Weighting (SAW) method.Findings: The alternative preference value Vi in the spatial data modeling process with the SAW method can be used as a mathematical model for the same data series behavior.Conclusion: The results of the representation in the modeling of spatial data and this attribute data can be used as a reference for planning in the development of health care centers in areas with poor immunization status categories.
Universal DP and Bošković phases

This paper is dedicated to creating a restrictive account for syntactic phases under some crucial assumptions of the last years such as Reverse Agree and Universal DP. To achieve that, Bošković’s position on Phase Impenetrability Constraint, which entails that it does not affect Agree, is checked against Russian data reinterpreted under Universal DP.
A multi-frequency binary phase unwrapping method

Three-dimensional (3D) measurement of complex surfaces is of great importance in industrial inspection and production. To solve the problem of high accuracy measurement on complex surfaces, a phase unwrapping method based on multi-frequency binary is proposed, which can directly calculate fringe order by using wrapped phase. First, the four-step phase shift fringe patterns whose period changes exponentially are projected onto the measured object (The base is 2, the index is n, n=1, 2, 3...). Then, the four-step phase shift algorithm is used to obtain the wrapped phase of each period. Binary fringe is generated by binarization of the wrapped phase of each period according to the threshold value of 0. The fringe order K is calculated by binary coding and decoding algorithm, and then the wrapped phase in the highest period is unwrapped by K which can obtain the continuous phase of the object. The simulation and experiment verify the validity of the proposed method, and it has high robustness for complex surface and isolated object. The proposed method is simple in calculation, flexible in control and easy to operate. It provides a simple and effective method for improving the accuracy and robustness of the fringe projection profilometry system.
Efficiency Analysis of the Image Optimization Algorithm for the Formation of a Database Database Not Confirmed by the User

Efficiency Analysis of the Image Optimization Algorithm for the Formation of a Database Not Confirmed by the UserThe ultimate goal of any process optimization in a particular area is to save time and human resources.The article analyzes the effectiveness of the original algorithm image processing when sampling for training artificial neural network CNN Class based on User-Confirmed Image-Dataset for needs defining image elements within binary logic.
Eco-Psychological Model as a Basis of Developmental Teaching in Secondary Education

The research objective includes development and approbation of a psycho-didactic teaching model that satisfies psychological principles of the personality development and didactic tasks in teaching academic disciplines according to V. I. Panov’s eco-psychological approach. The paper describes stages of the educational activity subject formation, the content of each stage is correlated with B. Bloom’s taxonomy of universal educational goals; relevant educational technologies and methodological techniques are suggested. Scientific originality of the study lies in the fact that the proposed methodology is based on an eco-psychological subjectivity formation model that represents ontological sequence of the subject’s qualities formation stages. As a result of the study, the authors develop psycho-didactic teaching models approbated within the educational module “Eurasia” of the 7th-grade Country Studies course and within the profile course “The Basics of Pedagogy and Psychology” for 10th-form students of the municipal budgetary educational institution “Secondary School № 15” of the city of Vladimir.
Analysis of Vulnerabilities, Risks and Threats in the Process of Quota Allocation for the State University of Ecuador

Different models and standards of information security were analyzed, to adopt a model that mitigates vulnerabilities, risks and threats in the quota allocation process for the State University in Ecuador.The main objective is defining a prototype for the management of processes and information security in this type of organization.It was used the deductive and exploratory research method to analyze the information in the references.In this work, the characteristics of the attacks were analyzed.It turned out a model performs the detection and defense of attacks based on the differences in data and time between them and the browsing behavior of normal users.It was concluded that the prototypes presented as results are an alternative to improve the security of the processes and the flow of information and that these can be used as a reference in this type of organization.
Librarian Services at Unilak’s Main Library Environment: A Dramaturgi Approach

Abstract This research is a qualitative research by using a dramaturgi approach from Erving Goffman done in the main library of the Universitas Lancang Kuning. In dramaturgi, the reality is analogous to theatrical performances. The focus of this approach is not what people do, what they want to do, but how they do it. Data collection techniques in this study were conducted by observation, interview and document analysis. The results of this study indicate that in playing the role of leadership is approaching creative. This is demonstrated by the efforts undertaken in building ideal services such as guiding actors according to scenarios (making clear rules, making job descriptions, creating vision and mission libraries, removing those that do not support it outside the library, rolling in the library and sending staff training, seminars and workshops) and keep the team's agreement for service improvements (evening picket, Saturday special service, student use of book data input). In building the desired service, the director builds the actors' interaction based on power, so that the interaction that runs feels rigid, there is no communication and coordination between the leadership and subordinates. Complained and gossiped backstage.
On the Study of Multiwavelet Deconvolution Density Estimators

In this paper, multiwavelet deconvolution density estimators are presented by a linear multiwavelet expansion and a nonlinear multiwavelet expansion, respectively. Moreover, the unbiased estimation is shown, and asymptotic normality is discussed for the multiwavelet deconvolution density estimators. Finally, a numerical example is given for our discussion.
An Efficient Algorithm for Mining Frequent Itemsets and Association Rules

This chapter considers solving the problem of Frequent Itemsets Mining (FIM) in large-scale databases, which is known to be a subset problem with a complexity of order 2n. Despite extensive research related to this problem, however, proposed algorithms still suffer the problem of low performance in terms of execution times and main memory usage. In this chapter, we propose a binary-based approach towards solving the FIM problem. The proposed approach utilizes a binary representation of the database transactions as well as binary operations to ease the process of identifying the frequent patterns as well as reduce the memory consumption. Extensive computational experiments have been conducted using different publicly available datasets with different characteristics to test and benchmarking the performance of the proposed algorithm. The obtained results showed that the proposed binary-based approach outperforms current algorithms, achieving less execution time while also maintaining low memory usage.
Provocation as a Genre: Rhetorical Definitions of MeToo Discourse

Modern media has led to changes in the scope, intensity and effectiveness of communication. The Internet medium, which offers almost unlimited dialogue and polylogue possibilities, has become an attractive place for provocation to be born and function. The provocative narrative not only inspires these processes, but also becomes as a result of such a genre modification. This article analyzes a provocative discourse, the Lithuanian version of the global movement MeToo, which promotes the publication of cases of sexual harassment: testimonies of women who have been sexually harassed, publications in the media discussing the issue, interviews with discourse participants, another type of comments. The MeToo discourse is characterized by a rhetorical aspect: the concept of provocation as an effective communication strategy is explored; the relationship of the provocative narrative to the genre category is discussed; characteristic rhetorical elements – invention, disposition, elocution – have been distinguished.
Quantum Coherent Entangled Hydrogen Atom Non-Locality

The discovery of a data based informational wave pattern infuses coherent entanglement into the system.This discovery of how to add coherent entanglement into the model provides the missing key, that has opened the door to understanding the universe.It is found that the inclusion of coherence and entanglement at the start of the system is extremely simple and in fact it is so simple that it has simply been overlooked.Entanglement and coherence are the most fundamental aspects of our universe.It is demonstrated that the basic model of the hydrogen atom is made from the CMB.If we add entanglement into this basic model of the hydrogen atom a math system called Wave Pattern Entangled Math is unveiled.This system of wave interference mathematics creates a data system in which entanglement and coherence can easily be understood.The final outcome is an unbreakable pattern of information, including entangled energy, entropy, spin, universal expansion,
How to Combine (Dis)Utilities of Different Aspects into a Single (Dis)Utility Value, and How This Is Related to Geometric Images of Happiness

In many practical situations, a user needs our help in selecting the best out of a large number of alternatives. To be able to help, we need to understand the user’s preferences. In decision theory, preferences are described by numerical values known as utilities . It is often not feasible to ask the user to provide utilities of all possible alternatives, so we must be able to estimate these utilities based on utilities of different aspects of these alternatives. In this paper, we provide a general formula for combining utilities of aspects into a single utility value. The resulting formula turns out to be in good accordance with the known correspondence between geometric images and different degrees of happiness.
Algorithm of changing digital image contrast taking into account local statistical characteristics of pixel luma distribution

The article presents the algorithm for processing digital images in order to enhance the distinguishability of its details, based on scanning motion of a small rectangular area on the pixel field, in which the contrast is changed by one of the known algorithms with the overlay on the already processed part (locally fragmented scheme). Different variants of inclusion of television &#x0D; algorithm of contrast changing in this scheme are considered. The results of processing according to the local-fragmented scheme in comparison with the global application of the television algorithm are investigated. It is shown that the proposed approach makes it possible to achieve a much greater increase in the distinguishability of details than in the global application of the television algorithm.
HYBRIDIZATION OF RSA AND BLOWFISH CRYPTOGRAPHY ALGORITHMS FOR DATA SECURITY ON CLOUD STORAGE

Security is provided for data according to the requirements of client. Cloud computing provides different types of services. Apart from the advantages of cloud, it has many security related issues. The topmost challenge in cloud is data security. There are more possibilities that the data are accessed by the other users of cloud storage. Data security must be addressed in the cloud storage. Cryptography is the most known technique for securing the data by encryption. It is necessary to propose encryption techniques which are suitable for cloud storage. Every cloud computing provides the different level of security. The aim of this study is to improve on the security of data or file stored on cloud storage using hybrid cryptographic algorithms for encryption. The algorithms are designed in such a way that one authenticates the authorized user and the other provides confidentiality and security for data stored on cloud.
To the question of the possibility of organizing laboratory classes in remote mode

The article presents the results of the pilot implementation of laboratory classes with full-time students in remote education on the subject "Technology of catering products". Based on empirical data, an analysis of this form of conducting classes was carried out, including a positive social effect. The author presents recommendations on the organization of similar classes in educational institutions.
Effects of spatial decomposition on the efficiency of <i>k</i>NN search in spatial interpolations

Spatial interpolations are commonly used in geometric modelling in life science applications such as medical image processing. In large-scale spatial interpolations, it is always needed to find a local set of data points for each interpolated point using the k Nearest Neighbor (kNN) search. To improve the efficiency of kNN, the uniform grid is commonly employed to fastly locate neighbours, and the size of grid cell could strongly affect the efficiency of kNN search. In this paper, we evaluate effects of the size of uniform grid cell on the efficiency of kNN search which is implemented on the CPU and GPU. We employ the Standard Deviation of points’ coordinates to measure the spatial distribution of scattered points. For irregularly distributed scattered points, we perform several series of kNN search in two- and three-dimensions. Benchmark results indicate that: for both the sequential version implemented on the CPU and the parallel version implemented on the GPU, with the increase of the Standard Deviation of points’ coordinates, the relatively optimal size of the grid cell decreases and eventually converges. Moreover, relationships between the Standard Deviation of scattered points’ coordinates and the relatively optimal size of grid cell are fitted.
Mobile Robot Autonomous Environment Exploration Method based on Internal Motivation

The task of exploring unknown environments using autonomous mobile robots is essential. This paper is based on the internal motivation mechanism combined with the Shannon entropy theory. Considering that the current map may generate important information gains about the environment, a navigation strategy for effectively detecting unknown environments is proposed. The strategy is based on the local information in the currently established map, so that the robot could predict the unknown environment, uses the Shannon entropy to estimate the information gain of each frontier to be selected, and uses the information gain as the internal motivation of the robot to make the robot choose a frontier with the largest information gain to reach. The experimental results show that the proposed method can effectively help the robot to explore the unknown environment, realize environment cognition, and establish a complete and accurate environmental map.
Pengembangan Buku Bergambar Bertekstur Dilengkapi Teka-Teki Silang Sebagai Media Pembelajaran Biologi Sub Materi Jaringan Epitel Kelas XI SMA

Media is one of tool to help the learning process. The media used in Senior Hight School 7 Semarang still general like book and LKS, the media admitted still has weakness from the presentation of contents, picture and increasing students interest, so that the learning looks monotonic and less to give progress of learning which is fun in the class. The thing explained raises the results of research like Developing The Book Which has Pictures and Textured and It is Completed with Crossword Puzzle As Media Learning Sub Material Materials Epitel Class XI SMA. This research uses the method. (R &amp; D) with 4-D development model Thiagarajan dkk production Defind, Design, Develop and Dessiminate. The result of the research is based on the assessment of media material expert has decent criteria (Very Good) with 90.9% percentage, assessment according to the media expert is included in the criteria worth (excellent) with 85.5% percentage and the assessment according to the teacher is included in the appropriate category (Very Good) with a percentage of 98.48%. The effectiveness of the media on the value of entry in the category is quite effective with the mean of the average student control score of 5.70. Media readability test after using in the learning category is very good with a percentage of 86.1%. The result of reseach showing deserves using in the learning.
Cloud Computing: An Effective Retrieval and Task Scheduling on Data Storage in Security and Privacy

Cloud computing is a modern way of computing, enabling a wide range of sharing computer resources through the internet. Cloud computing is distributed in nature delivering effective on-demand services globally. According to the current real-time scenario, cloud computing is boon for the information technology paradigm that serving a higher level of data outsourcing with minimal management effort. The main key term on cloud computing is pay per use as well as data storage facilities. However, this technology had made a high impact among the organizations, but stillaverage number of fir Cloud computing is a modern way of computing, enabling a wide range of sharing computer resources through the internet. Cloud computing is distributed in nature delivering effective on-demand services globally. According to the current real-time scenario, cloud computing is boon for the information technology paradigm that serving a higher level of data outsourcing with minimal management effort. The main key term on cloud computing is pay per use as well as data storage facilities. However, this technology had made a high impact among the organizations, but stillaverage number of firms neglecting these services with some strong reasons. The major issue in this technology is the lack of security. The organizations storing highly sensitive information on the cloud database and here data protection along with privacy is still a challenge. In this paper, we are not cover whole challenges, our work concentrated on a few severe security challenges and the techniques used to overcome these issues. It also describes those technologies merits and demerits in an effective manner. In addition, in this work we analysis several tactics related to privacy protection affairs, securing sensitive data, reliability and enabling accuracy from the unauthorized users in the cloud environment. ms neglecting these services with some strong reasons. The major issue in this technology is the lack of security. The organizations storing highly sensitive information on the cloud database and here data protection along with privacy is still a challenge. In this paper, we are not cover whole challenges, our work concentrated on a few severe security challenges and the techniques used to overcome these issues. It also describes those technologies merits and demerits in an effective manner. In addition in this work we analysis several tactics related to privacy protection affairs, securing sensitive data, reliability and enabling accuracy from the unauthorized users in the cloud environment.