Reviewerly/exHarmony huggingface dataset:
A Structured Approach for Display of the Most Practical Theories in ELT

A flowchart is just a diagrammatic approach to capturing and managing information. The present study investigates astructured approach to display some theoretical frameworks based on ‘Computational Cognitive Model’ by Dubey et al.(2008) and visual attention model proposed by Koch and Ullman (1985) and implemented by Itti, Koch and Neibur (1998).To this end, 10 practical theories are selected by the researcher to explain the sequence of steps followed by their framework.Since flowcharts may be used for diagnosing a malfunction or logic of solving a problem. This study can indicate thedifferent parts of the theories to troubleshoot the problems as well as quick reference to previous steps. The researcher tries toget an agreement on confirmation of combinatory theoretical diagram from the 7 faculty members in Ruskin university ofLondon. At the end of the statements, the exhibitive design of the practical theories selected in this study breaks complicatedprocesses down into a series of smaller, more manageable steps. This schematically design can boost students' interests muchbetter than text only and impart knowledge better since students can understand faster.
Possibilities of using full homomorphic encryption mechanisms in electronic voting systems

The paper deals with the concept of homomorphic encryption and the possibility of its use in the mechanism of electronic voting. One of the problematic requirements for electronic voting systems is voter anonymity. On the one hand, each voter must be identified, and on the other, the content of his or her vote must be unknown. Currently, the methods and mechanisms used in real voting systems do not provide real anonymity. Therefore, both theoretical and practical content is an urgent and necessary problem of developing mechanisms for anonymous counting of votes with the protection of their distortion. The paper also provides a general analysis of the security level of prospective homomorphic encryption schemes. The essence of homomorphic encryption is that there is some set of operations whose result of executing over ciphertexts (with subsequent decryption) coincides with similar actions over plaintexts. Homomorphic encryption allows you to perform some calculations on information without having access to the information itself. However, there are a number of problems when trying to apply such calculations. The main ones are the choice of the method of asymmetric encryption, which provides the necessary cryptographic stability from both classical and quantum attacks, the identification of possible candidates for asymmetric cryptotransformations in homomorphic encryption, their evaluation of comparison with each other, and, of course, the choice of the most rational for a given multiple restrictions. The asymmetric schemes of homomorphic encryption are compared using the hierarchy analysis process. The method of asymmetric encryption with zero knowledge is substantiated. The objective of this article is to substantiate the possibilities, conditions, and constraints on the use of standardized asymmetric cryptotransformations in the creation of modern homomorphic encryption-type transformations, when anonymity of electronic voting and practical implementation of anonymous voting based on proof of zero knowledge must be guaranteed.
The Multimedia Sentiment Model Based on Online Homestay Reviews

Aiming at the fact that traditional sentiment analysis is based on text, without considering the factors such as special symbols and emoticon images, which can't fully extract the user's emotions, this paper proposes a sentiment analysis method of online homestay reviews based on image-text fusion.For text datasets, first use Word2vec to build a topic clustering model, then find the corresponding topic attribute dictionary through the topic center words, use Bayesian classifier is used for sentiment analysis, compared with SVM and decision tree methods, to evaluate the effect; For the picture dataset, Convolutional Neural Network (CNN) model is initialized by parameter migration, and image sentiment classification model is obtained by fine-tuning training of CNN model after parameter migration; Finally, the fusion method is designed to calculate the emotional probability of image-text, then judge the emotional polarity and compare it with the user's score, The accuracy rate is 88.6%, which is higher than that of text sentiment analysis model or image sentiment analysis model.The experimental results show that the sentiment analysis of image-text fusion has better classification effect on image-text reviews and more effectively avoid the problem of inconsistency between user ratings and the emotion expressed in comments.
Software-based Diagnostic Approach for Detection of Malaria Parasite in Blood

Malaria is a serious global health problem.Its diagnosis is prevalently done manually using conventional compound light microscopy.However, this traditional approach is time consuming, tiresome, gives variation in results and requires skilled personnel which may not be available everywhere and anytime.To overcome these challenges and provide a reliable alternative, a software-based approach is proposed.The approach is underpinned by image analysis techniques; it aims the detection and diagnosis (or screening) of malaria infection in microscopic images of stained thin blood film smears.Thus, the proposed approach combines selected preprocessing, segmentation, feature extraction and edge detection schemes to distinguish malaria cells in order to identify malaria parasites in stained plasmodium images.Ninety-two (92) images of infected and non-infected plasmodium parasites were acquired (in three categories: downloaded, snapped and digitally acquired images), preprocessed, segmented, relevant features extracted and diagnosis made based on features extracted from the images.The accuracy of the approach was tested.Results show that this approach achieved 91.3% accuracy level, 96.6% sensitivity, and 94.4% positive predictive value.The level of outcome suggests that the software approach can be successfully used for malaria detection.
Un lenguaje de modelado para representar visualmente las decisiones de diseño arquitectónico y su rationale: Rationale

The architectural rationale is the set of reasons behind the decisions made when designing the architecture of a software system. Normally, this rationale remains in the minds of designers and others involved in the design. Therefore, the reasoning behind the decisions that underpin the architecture model may be lost if not properly documented, causing maintainability problems in the software. In practice, the rationale is not documented or is documented in the middle of the architectural descriptions, which makes it difficult to understand and support subsequent decisions, within the development and maintenance of software, which is more critical in the agile approach to development. To address this problem, this paper proposes a documentation approach that combines rationale modeling with a focus on decisions made in projects that use agile methods, to specify a language that provides the basis for the construction of a tool that we have called DRML (Decisions and Rationale Modeling Language). The language is evaluated to document the rationale in the framework of the Unique Indigenous Information System (SUIIN, for its acronym in Spanish) project, in the context of a public entity that within its processes has a work team made up of systems engineers focused on software development. This evaluation has established that the approach provides sufficient expressiveness to document the decisions and their rationale, however, it has limitations to scale the modeling for a large number of decisions and their relationships.
Characteristics of the geographical risk of the south Bărăgan Plain. Categories and particularities of manifestation.

Characteristics of the geographical risk of the south Bărăgan Plain.Categories and particularities of manifestation.South Bărăgan Plain is a less populated geographical unit, being the area where the main activity is agriculture.Such as, the human being is subject to the elements of risk, which result primarily from the way of manifestation that the elements of the geographical environment have.To these are added a number of new elements, generated by man himself, through the excessive exploitation of soil resources.The analysis of the geographical risk requires a number of elements of detail, but also general, related to the processing of statistical data and regional or local approaches, related to the distribution of the categories of geographical risk.
Prototyping decentralized electronic blockchain voting system

The modern electronic voting system is an interconnected set of rules, methods, processes, tools and technologies, as well as legal norms that ensure and regulate the remote legitimate will of authorized users (voters). This article proposes, investigates, and verifies by physical prototyping the two-tier architecture of the electronic blockchain voting system. The lower (first) level enables all components of the electronic identification process to be fulfilled by existing systems such as BankID, MobileID, electronic signature, and the like. This will ensure interoperability of electronic voting, inheritance of already implemented national information systems, in particular, of the national system of electronic confidential services, reproducibility of the results of physical prototyping of blockchain voting. The upper (second) level is intended for the implementation of the expression of votes and the counting of votes, with the provision of independent control over the correctness of the compilation of voter lists; the possibility of anonymous voting only by those who are entitled to it; the invariability and irrevocability of the results of the will; ease and transparency of checking the correctness of the vote count and the like. The obtained results of physical prototyping make it possible to confirm the validity and weight of the developed architecture, its ability to meet the basic requirements of decentralized electronic voting, the requirements of information and functional security and reliability of information technologies. The practical implementation of the developed blockchain voting architecture will increase trust in information resources and services (which is especially relevant for government agencies) and will reduce time and overhead; will make impossible the intervention of centralized institutions and possible corruption; will increase the reliability of information storage and the quality of services provided.
Computational algorithms for calculating the algebraic immunity of nonlinear nodes of replacing symmetric ciphers

Block of nonlinear replacements (complication node, substitution block, S-box) is an important element of most modern symmetric ciphers. This is an elementary cryptographic primitive designed to mix input data and introduce non-linearity. By replacing small blocks with other blocks, mixing and scattering of data is achieved, and repeated cyclic repetition of such a procedure makes it possible to achieve the required cryptographic properties of the cipher. Many different criteria are put forward to substitution blocks (balance, high nonlinearity, low autocorrelation, correlation immunity, required avalanche properties, and many others). Each criterion expresses a formalized requirement of resistance to certain types of cryptographic analysis (differential, linear, etc.), i.e. when designing ciphers, they use an integrated approach, choosing S-blocks according to the totality of individual indicators. With the development of algebraic cryptanalysis, a new indicator of the effectiveness of substitution nodes has appeared – algebraic immunity, which is calculated as the minimum degree of the simplest (in a sense) algebraic equation describing the S-block. To search for such an equation, special methods are used, based on the construction of Gröbner bases. If you specify a knot of substitutions through a Boolean function, then to calculate algebraic immunity it is enough to find a function of the least degree from the annihilator space. This article discusses various methods of calculating algebraic immunity, analyzes their computational efficiency, discusses implementation details, substantiates methods for optimizing calculations in terms of time (in terms of number of operations) and capacitive (in terms of memory costs) of complexity. An advanced algorithm for calculating algebraic immunity is proposed, optimized for computing resources, including the necessary RAM sizes. The results of experimental studies are presented, in particular, the results of calculations of the algebraic immunity of 8x8 S-blocks for some well-known modern ciphers (AES, Kalina, Grasshopper, BelT), as well as the results obtained for random 8x8, 9x9 and 10x10 S-blocks.
Pre Instructional Design for Academic Writing in Digital Era

In competitive era to produce high quality of learning outcome, educators should be creative and innovative in designing learning instructional.They are as answers what the students need.Domain of teaching writing has been touched by online writing instruction (technology-enabled learning environment).A study, interviewing the students need toward online writing, showed that the students need out of class space to write.Classroom atmosphere is not enough for them to finish their writing.Internet as close part in their activity should be take important part in their learning process.They also argue that currently material teaching to support their writing is needed.This study design of blended learning for academic writing by proportion of content delivered online 30% of 16 meetings.It covered pre-writing,drafting, revising and editing, re-writing and assessing.
Need Analysis of Developing English Module Through Poster Presentation Assisted by Vlog

The research aims to analyze the need for English module and learning strategy for students in Information System department of Computer Science Faculty UPI-YPTK Padang.The method used was a descriptiveanalytic and qualitative approach to describe the students' needs.The data were collected through interview and questionnaires.The research applied Need Analysis (NA) theory of Dudley-Evan and St. John (1998).There were four lecturers and one hundred fifty students in the 2017/2018 academic years participated and chosen by purposive random sampling.The results of this study indicated that there was urgency of an English module for students from Information System department.It should contain more grammar and speaking activities, groups work and out-of-classes activities.This research will also be used as guidance to develop a module and further studies.
Orientation of Target Audience to Selection of Engineering Specialization in Institutions of Supplemental Education

This article analyzes the issue of motivating parents upon making decision about selection of supplemental education in the light of importance of propaganda of engineering specialization as a factor of state competitiveness. This work is aimed at revealing promotional methods of motivating parents to select educational robotics as supplemental education for a child. The experimental methods are comprised of comparative analysis of approaches by child’s robotics studios to promotion of engineering specialization among target audience and sociological survey among parents interested in educational robotics as a kind of child’s engineering creativity. It has been revealed that most respondents are not aware of robotics as a program of supplemental education and of its global demand not at the game level. While searching for objects of comparative analysis, it has been revealed that numerous institutions of supplemental education are not inclined to implement robotics as an analog of engineering specialization into educational program not only due to expensive equipment but, first of all, due to unavailability of required specialists for arrangement of such child’s engineering creativity. As a consequence of the comparative analysis of approaches to attraction of target audience, it has been revealed that numerous studios of R&amp;D creativity pay insufficient attention to advertising of their companies due to moderate budget. On the basis of the experimental results, recommendations have been developed on organization of motivating communication campaign for studios of educational robotics with consideration for psychological and behavioral characteristics using available advertising tools.
Design and Implementation of a Physical Bitcoin Coin

One of the major factors hindering the adoption of crypto assets in general, and Bitcoin in particular, is the high level of complexity they present to the common user. Although physical coins are a possible solution, the need to place trust in the manufacturers (so that they throw away the private key) is a big drawback that has hampered their widespread use. The recent boom of the maker movement has brought in a significant number of users with access to 3D printing devices, as well as the supporting electronic and computing resources. We have taken advantage of these capabilities to develop an open source project that interested parties can use to easily print a physical model of a Bitcoin coin, along with the necessary software that allows the creation and validation of keys and addresses.
Strategies to Increase Market Share for Histopathological Equipment Products (Brand Sakura): Case Study in a Sole Agent Company

The purpose of this research is to evaluate marketing strategies that directly touch market leaders with to get marketing strategies to increase market share and become a market leader. This research uses qualitative and quantitative approaches. The analysis used was a descriptive analysis using the SWOT analysis instrument accompanied by IFAS and EFAS calculations. Data sources and types of research data consist of primary data and secondary data. Primary data were obtained from the results of focus group discussions, in-depth interviews, and questionnaires. Whereas secondary data was obtained from financial reports and relevant articles and literature. The results of the strategy enrichment using the SWOT analysis on the quantitative approach obtained that the company's position is in quadrant 3 namely WO quadrant with coordinates (-0.63; +1.47) so companies should implement a turnaround strategy, ie change their marketing strategy from direct hit to market leaders by improving after-sales service, improving the quality of their products, brand equity, support from top management and placing units in the Teaching Hospital. This research can provide practitioners with an overview in making strategic marketing decisions.
Correction to: Encrypted gray image transmission over OFDM channel for TV cloud computing

Mohammed A. Alsharqawy is co-author of above mentioned article, but was not listed in the author group of the original article.
PENERAPAN MODEL PREDICT OBSERVE EXPLAIN BERBANTUAN MEDIA SCRAPBOOK UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR KRITIS SISWA SD

This study aims to describe the increase in critical thinking skills using the predict observe explain learning model assisted by scrapbook media in class V SD 1 Jepang Kudus. This type of research is classroom action research. This type of research is classroom action research. This research consists of 4 stages namely planning, action, observation, and reflection. The research was conducted in 2 cycles with 2 meetings each cycle. The subjects of this study were 27 students of grade V SD 1 Jepang Kudus in the 2019/2020 school year. The results showed that students' critical thinking skills in cycle 1 obtained classical completeness by 63% with the criteria needed guidance, while in cycle 2 they obtained classical completeness by 85% with good criteria.&#x0D;
ENHANCED STEGANOGRAPHIC SCHEMES TO SECURE DATA IN IOT

Internet of Thing gadgets are progressively getting inescapable as IoT administrations become ubiquitous. Their fast advancement has not gone unnoticed as is the measure of dangers and assaults against IoT contraptions and administrations. Digital assaults are not new to IoT, yet as IoT, however as IoT in our lives and networks will be profoundly joined, it is getting critical to step up and pay attention to digital security. In this way giving assurance to IoT gadgets is extremely basic, bringing about the need to distinguish dangers and assaults on the structure IoT arrange. There are various security techniques providing protection to sensitive data communicated through Internet connected through IoT. In this paper the secret data bits are encrypted and hide in the image block. The image block is optimized for bit hiding using by firefly algorithm. In the present work matrix XOR steganography technique and Elliptic Galois Cryptography encryption technique is used for reliable and efficient hiding of data. To ensure confidentiality, authentication, access control, and integrity among other items, the implementation of successful security and privacy protocols in IoT networks is extremely important. A comprehensive study on security and privacy issues in IoT networks is provided in this paper.
Human Intestinal Condition Identification based-on Blended Spatial and Morphological Feature using Artificial Neural Network Classifier

Colon cancer is a type of disease that attacks the intestinal walls cell of humans. Colorectal endoscopic screening technique is a common step carried out by the health expert/gynecologist to determine the condition of the human intestine. Manual interpretation requires quite a long time to reach a result. Along with the development of increasingly advanced digital computing techniques, then some of the weaknesses of the manually endoscopic image interpretation analysis model can be corrected by automating the detection process of the presence or absence of cancerous cells in the gut. Identification of human intestinal conditions using an artificial neural network method with the blended input feature produces a higher accuracy value compared to the artificial neural network with the non-blended input feature. The difference in classifier performance produced between the two is quite significant, that is equal to 0.065 (6.5%) for accuracy; 0.074 (7.4%) for recall; 0.05 (5.0%) for precision; and 0.063 (6.3%) for f-measure.
Approximation to the K-Means Clustering Algorithm using PCA

Healthcare is an emerging domain that produces data exponentially.These massive data contain a wide variety of fields, which lead to a problem in analyzing the information.Clustering is a popular method for analyzing data.Data is split into smaller clusters having similar properties and is then analyzed.The K-Means algorithm [1] is a well-known technique among clustering methods.In this paper, an efficient approximation to the K-means problem targeted for large data by reducing the number of features to one through Principle Component Analysis(PCA) is introduced.This data is clustered in one dimension using the K -means algorithm.Intra-cluster RMS error in the modified algorithm is compared with the K-means algorithm in m dimensions and is found to be reasonable.The time taken by the modified algorithm is significantly less when compared to the K -means algorithm.