Reviewerly/exHarmony huggingface dataset:
Blockchain Based Platform for Healthcare Information Exchange

This proposes a distributed solution based on blockchain technology for trusted Health Information Exchange (HIE). In addition to exchange of EHR between patient and doctor, the proposed system is also used in other aspects of healthcare such as improving the insurance claim and making data available for research organizations. Medical data is very sensitive, in both social as well as legal aspects, so permissioned block-chain such as Hyperledger Fabric is used to retain the necessary privacy required in the proposed system.
INFORMATION SEEKING BEHAVIOUR THROUGH INTERNET TECHNOLOGY IN LIBRARY USERS, CHIDAMBARAM TOWN

Cross association and Chi-square test were applied to test the hypotheses.The disclosures and observations are the result a lot of the understandings made during the examination of assessment.
AN EFFICIENT RANKED MULTI-KEYWORD SEARCH, FUZZY KEYWORD SEARCH FOR MULTIPLE DATA OWNERS OVER ENCRYPTED CLOUD DATA

With the coming of cloud computing, it has turned out to be providing security for information. In existing system, data user can access the without authentication Cipher text-Policy Attribute-based Encryption (CP-ABE) can be utilized to conduct fine-grained and owner-centric access control. In a cloud computing system we are developed the system providing security for information. In this system, data owner can upload different file using AES algorithm in the encrypted format for maintaining the security. For insurance concerns, secure endeavours over scrambled cloud data have propelled a couple of research works under the single proprietor model. In our system we developed this system for multiple owners’ model with different functionality. In this system, implemented plans to tree based ranked multi-keyword search scheme for multiple data owners (TBMSM), o proficiently create novel inquiry convention dependent on bilinear blending, which empowers various information proprietors to utilize various keys to scramble their keywords and trapdoors.. In cloud server module, view all users, data owners and all encrypted file also. User also view attacker of the system. Data user can search over encrypted data using hash value md5 algorithm. Data Users can also fuzzy keyword algorithm search technique also used moreover; User can download file at particular place only as well as at particular times only. Also find out attacker of system if any user enters 3 time wrong key.
University Library Information Resources Employment for Individual Educational Trajectory Support

library information systems the flexible toolkit for remote access to digital sources provide, which are registered in the university knowledge base and selected by an authorized reader in a systematic electronic catalog, offering a flexible media space in accordance with modern conditions and challenges. Thereby, the quality of library services is an important criterion for generalized assessment of the quality and competitiveness of the institution itself.
Correlation Between Vocabulary Mastery and Fluency in Speaking at Universitas Tanjungpura

This research, entitled “Correlation Between Vocabulary Mastery and Fluency in Speaking” was carried out to the fifth semester students of English Education Study Program. The population of this research is fifth semester students of English Education Study Program of Teacher Training and Education Faculty at Tanjungpura University with the sample size of 30. The result of data analysis revealed the correlational between both variable from the samples is showing the correlational coefficient (r) value of 0.19. This value showed vocabulary mastery has low correlation with fluency in speaking. The contribution of vocabulary mastery to fluency in speaking is 3.6% which is almost non-existent. The hypothesis was tested by comparing the r value with r table, with the degree of freedom (df = n-2) of 28 and 1% level of significance. The r value (0.19) is lower than r table (0.463). It means, the alternative hypothesis (Ha) is rejected and null hypothesis (Ho) is accepted. With this research done, students should improve their speaking ability and remember more vocabularies to become a more and better speaker. The writer hopes this research may be beneficial to the readers and might resulting in newer research with different aspect and better concepts.
Pengaruh Penggunaan Model Pembelajaran Berbasis Masalah Terhadap Keterampilan Menulis Karangan Eksposisi

This study aims to find out the influence of problem-based learning models on writing skills by exposition of grade X students of SMA Negeri 1 Muara Bungo. This type of research is quantitative research using experimental methods. The type of experiment in this study is quasi experiment. The population of this study is grade X students of SMA Negeri 1 Muara Bungo. Sampling is done in simple random sampling. This research instrument is in the form of questionnaires and performance tests. This research data is in the form of test scores of work performance skills writing essays exposition. The data was analyzed using liliefors normality test, variance homogeneity test, hypothesis test using t test, and two-way anova test. Based on the results of data analysis and discussion found two test results of writing skills written by exposition of students who were taught using a problem-based learning model better than students who were taught using conventional models. One, this hypothesis is accepted because th &gt; tt with α=0.05. So it can be said that there is a significant influence of a problem-based learning model on the writing skills of exposition essays. Two, There is no interaction between problem-based learning models of exposition writing skills. This hypothesis is accepted because fh &lt; ft with α=0.05. So it can be said that between problem-based learning models are not interrelated in influencing the writing skills of exposition essays.
Feature Engineering by a Brain-Computer Progressively Interactive Simulated Annealing on Random Forest for Health Data Analytics

Health care generates voluminous data and establishing predictive models on such voluminous data is not only challenging in terms of accuracy but also in terms of computational complexity. Feature engineering is a hot research topic that has gained significance over the recent years. Feature engineering is the process of using domain knowledge to understand the features, combine them or discard them for efficient feature selection. We propose a new feature selection framework by incorporating domain knowledge to guide simulated annealing (SA). Our approach uses the classification accuracy of random forest as a positive feedback for SA. The results prove that our proposed framework of feature engineering reduces the dimensionality to a greater extent in a reasonable amount of time without any adverse effect in the accuracy of the model.
Comparison of Image Classification Techniques: Binary and Multiclass using Convolutional Neural Network and Support Vector Machines

Classification is the technique applied in data mining to form groups under specified class labels. Classification is supervised type of machine learning.In this paper, two popular classification techniques, Support Vector Machine (SVM) and Convolutional Neural Network (CNN) are compared for accuracy of classification of images. Image classification is done on the basis of feature selection and feature extraction using Tensor flow package. The two classifiers understudy are Linear (SVM) and non-linear techniques (CNN). CNN possesses a powerful feature extraction and SVM is considered as a high-end classifier. Complexity of the feature extraction and selection can be increased in CNN by adding more layers, but in SVM complexity cannot be increased. CNN processes images using matrices of weights and is called as filters or features that detect specific attributes such as vertical edges, horizontal edges, etc. As and when the image progresses through each layer, the filters can recognize more and more complex attributes. In this proposed study, graphs of training phase of CNN also show how the training results are improved image by image due to increasing knowledge of features and thus loss is decreased.This research study focuses on accuracy measure of the above mentioned methods. For the image classification studied in this paper, it has been observed that SVM gives adequate accuracy for binary classification whereas CNN gives consistent accuracy over binary as well as multi class classification problems.The recognition rate achieved by the CNN algorithm varies between 75% - 75.40 % for binary and multiclass classification. SVM accuracy rate decreases from 80.95 % for binary classification, to 50 % for multiclass classification.
PROTECTION OF USER CREDENTIALS IN WEB APPLICATION

Protecting user data in web applications is a challenge that developers face. Enabling secure user login and overcoming vulnerabilities without exposing sensitive data to attackers, is based on the application of modern methods and techniques for protection. This paper first reviews the current situation in this area with an emphasis on important security features. Then, the available systems are evaluated and the obtained results are quantified, from where their advantages and disadvantages can be seen. Another goal of the paper is a deeper insight into the field of user data security. Special attention is given to the importance of password protection for access in web applications.
Temporal Prediction on Students’ Graduation using Naïve Bayes and K-Nearest Neighbor Algorithm

Accreditation is a form of assessment of the feasibility and quality of higher education. One of the accreditation assessment factors is the percentage of graduation on time. A low percentage of on-time graduations can affect the assessment of accreditation of study programs. Predicting student graduation can be a solution to this problem. The prediction results can show that students are at risk of not graduating on time. Temporal prediction allows students and study programs to do the necessary treatment early. Prediction of graduation can use the learning analytics method, using a combination of the naïve bayes and the k-nearest neighbor algorithm. The Naïve Bayes algorithm looks for the courses that most influence graduation. The k-nearest neighbor algorithm as a classification method with the attribute limit used is 40% of the total attributes so that the algorithm becomes more effective and efficient. The dataset used is four batches of Telkom University Informatics Engineering student data involving data index of course scores 1, level 2, level 3, and level 4 data. The results obtained from this study are 5 attributes that most influence student graduation. As well as the results of the presentation of the combination naïve bayes and k-nearest neighbor algorithm with the largest percentage yield at level 1 75.40%, level 2 82.08%, level 3 81.91%, and level 4 90.42%.
IMPLEMENTASI CONTEXT AWARE PADA SISTEM TRAVEL PLANNER BERBASIS MOBILE

In the era of technological advances, tourists will first seek information about the tourist object to be addressed, even tourists often don't have a destination, so they have to search one by one via the internet. In determining travel plans, it is often to see one by one the review of tourist attractions and conclude the results will take a long time, while tourists need actual and fast information to determine the travel plans. In this study, the authors take a new approach, namely by creating a mobile-based travel planner system that compiles travel plans automatically by considering contextual information related to tourist location points, whether of tourist locations during travel days, travel opening and closing hours, so that it will increase travel efficiency without having to do the research manually which takes a long time. The system can also provide travel recommendations based on visitor comments sentiment on Google Places and is equipped with a trip route that will be generated automatically. This research is useful for helping tourists plan their trip actually because of the consideration of contextual information so that it will make it easier and save tourists time.
Использование многофункциональных идентификационных карт в системе образования Республики Беларусь

The article discusses the experience of introducing and using multifunctional identification cards in the education system of the Republic of Belarus. The main advantages of using radio frequency identification technologies are considered. Electronic identification cards have been introduced in the national education system: student cards, employee IDs, student cards. Due to the observance of the principles of continuity of technical solutions in the process of project evolution, solutions are successfully functioning that allow the use of smart cards in functional applications (access control systems in university buildings and dormitories; reader service systems in university libraries, systems for granting benefits to document owners in the provision of various services on the territory of the university). Along with the introduction of multifunctional identification cards, the BSU has created an infrastructure for the use of new electronic documents on the Mifare Plus platform.
DEVELOPING BILINGUAL WORKSHEET WITH LOCAL WISDOM BASED VALUES FOR YOUNG LEARNERS

Learning English for young learners through bilingual worksheet with local wisdom based values is the way for children acquire their foreign language. Teacher taught bilingual worksheet with local wisdom values to improve their daily communication relate real situation in currently culture of their life. Commonly worksheet used by the teacher without local wisdom values. The aim of this study was the developing bilingual worksheet with local wisdom based values for young learners especially Banten culture in the bilingual program at the SDIT Assa'adah Global Islamic School (AGIS), Serang City. Banten regional culture contents for young learners in a bilingual program with L1 and L2 through worksheet developing. Researchers also simultaneously introduce foreign languages that are commonly used. This study used Research and development in the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) method, the result of this study was a drafted 4 th grade bilingual mathematics worksheet was validated by 3 experts recommended worthy of being tested with criteria of validity is very high on young learner’s students.
Image Denoising Based on Improved Hybrid Genetic Algorithm

Digital images can be degraded through noise during the transmission and process of acquisition, it is still a fundamental challenge is to eliminate as much noise as possible while preserving the main features of the image, for instance, edges, texture, and corners. This paper proposes for image denoising a new Improved Hybrid Genetic Algorithm (IHGA), whose combined a Genetic Algorithm (GA), with some image denoising methods. Wherein this approach uses mutation operators, crossover, and population reinitialization as default operators available in evolutionary methods with applied some state-of-the-art image denoising methods, such as local search. Tests are conducted on some digital images, commonly used as a benchmark by the scientific community, where different standard deviations are used for digital images. Experimental results indicate that the proposed method is very effective and competitive in comparison with previously published works.
Twitter Sentiment Analyzer

Social media as we know plays a vital role in influencing one's opinion and life. We are so wrapped in our virtual world that we want to confess and share every feeling of expression and knowledge through words or pictures and Twitter is one of those platforms that provide us the freedom of speech. In this paper, we are going to analyze the sentiments of such speeches using a support vector machine and random forest in python in a format that the tweets will be categorized in either positive, negative or neutral zones. Using the Django framework allowing us to quickly and efficiently create a quality Web application for both the front end and back end.
Penyisipan Pesan dengan Metode Least Significant Bit Pada Objek Citra Digital Yang Terdeteksi Tepi Dengan Sobel

Communication is very important in exchanging information and there are times when the information is very important and confidential. But the number of people who commit crimes to steal and leak information in the world of IT with various techniques.Such communication media are no longer safe to use, so the communication media must be increased in security. Based on this, the authors are interested in making an analysis of the application of the Least Significant Bit Method and edge detection with sobel on digital image objects. Least significance bit method and edge detection with sobel on digital image objects can make the size and shape of the image that has been inserted the message character will not change, so that the message or information sent has a higher level of security
El trabajo grupal como forma de construir vínculos en contextos no presenciales

In a context of deep uncertainty caused by the health emergency of the covid 19, the suspension of face-to-face classes forced us to rethink our practices as teachers and propose methodologies appropriate to the virtual learning environment. Within this framework, the idea of ??“technological mediation” emerged as a form of pedagogical continuity to lessen the effects of the lack of presence. In the process of searching for educational innovation strategies, the Problem-Based Learning (ABP) methodology emerged with the intention of sustaining two fundamental pillars: the development of transversal competences and personal ties through virtual group work. This last aspect will be the one that will be discussed in greater depth in this work, addressing the potentialities and difficulties that the methodology produced. The linking aspects will be considered on three levels: individual, group work and relationship with the teacher. In order to assess the experience, regarding the linking and motivational aspects of the course, we resorted to preparing a reflection questionnaire with the aim of gathering the vision of the protagonists of the process, the students. In their opinions, it could be seen that they were not only aware of the links but also appreciated other attributes of the experience such as placing them in a possible work context, linking the subject with others in their career, etc. This situation configured an undoubted invitation to prepare future works in coordination with teachers of other subjects to approach the comprehensive training that we so long for.
Modified Least Significant Bit Method and the Modification Reshape Transposition Technique for Steganography

A message is a form of conveying information. Various ways are used to secure the information conveyed in the form of messages either in encrypted form or in the form of applying a password in the message. Messages can also be encrypted and embedded in other media such as images (steganography). This research aimed to insert a message into the form of an image by combining the Modified Least Significant Bit (MLSB) method in encrypting messages and reshape modification technique to determine at which position the message encryption will be embedded in the image. Tests were carried out to obtain the quality of the encryption process using the parameters of Fidelity, mean square error, peak signal to noise ratio, testing on file type, robustness, and comparison of message contents. The results of the tests showed that the files that can be used are files with the image file type in the lossless compression category, the rotation can be done is 90,180,270 without destroying the message in it, and changing the pixel in the image file will destroy the message inside.
The Pralogical Essence of the Implicit Order

The article presents the research results of the archaic genesis of the implicit order. This term has been implemented into scientific use for more than a decade, however, it has so far been little described and lacked scientific substantiation. The article draws our attention to the fact that the implicit order of the psyche unites diametrically opposed tendencies that primarily correspond to the basic conflict “life ↔ death”. The sequence (order) of psychoanalytical analysis of art reproductions (selected for self-presentation) is set by a respondent, which proves the existence of blind hand skill. The implicit order proves the power of the basic law of pralogical thinking - involvement - which governs the pralogical thinking integrated with a modern person’s reflexive, social and perceptive thinking. The article presents the results based on the stenographic material analysis of deep cognition of the psyche: audio and video of ASPC processes using thematic psycho-drawings “Fault tattoo” and “Own tattoo”. The main argument of the pralogical essence of the implicit order is based on its main characteristic – neutrality to the discrepancy of its components which is exactly its pralogical essence. The ASPC participants arrange the visualized self-presenters ignoring (not noticing) their contradiction (conflict). The research gives an opportunity to state the connection of the “order” with the basic psyche conflict: “life” ↔ “death”. The diagnostic-corrective process ASPC can actualize the self-preservation instinct by expanding the borders of subject’s self-awareness with the increase of the behavior rationality, i.e. logical thinking efficiency.
Improving Teaching Conversation Using Some Techniques

Language is a means of communication or speaking. In this case, as a human being, it must be able to communicate or speak orally. For human being having a good English is important especially for the students because it becomes the bridge to know the world. Speaking is also the important activity in language class. It is one of the basic competences which should be mastered by the students. It means that teaching conversation needs to be developed. Furthermore, one of the English teaching aims is to develop the students’ competence in communicating both oral and written language to resolve their daily problems. The communicative competence taught in learning English covers four skills: listening, speaking, reading and writing. Language has a main role in students’ intellectual, social, and emotional development and it is the key towards the successful studying all of the subject. Speaking or conversation is considered as skill which students rather difficult to work with. Conversation is one of the basic competences which should be mastered by the students. conversation is a speech production that becomes a part of our daily activities. Conversation means creative process; an active interaction between speaker and listener that involves thought and emotion. Some techniques can be used to improve teaching conversation. They are such as situational practice, the self-directed, dialogue, improvisation, small-group and discussion.
An analysis of the functionality of selected websites presenting data on air traffic

Abstract The subject of the article is the assessment and comparison of the functionality of websites presenting flight data and the current location of aircraft on the map. The following websites were assessed: Flightradar24 (flightradar24.com), RadarBox24 (radarbox24.com), Flightaware (flightaware.com) and Plane-finder (planefinder.com). The credibility of the presented data and the range of functions available on the websites were analyzed in detail. A number of functions included in data sets were compared to the examined websites. Additionally, the possibilities of expanding the analyzed websites and extending the scope of their functions were determined. The issue of using data from air traffic data websites for scientific research was also examined.