Reviewerly/exHarmony huggingface dataset:
Cryptographic Transformations in a Decentralized Blockchain Environment

Distributed decentralized systems built using Blockchain technology are becoming increasingly popular and widespread. This is due to their reliability and security. But their transparency and openness, the lack of centralized administrative levers that can interfere and impose their decision, are the most important and attractive. Blockchain is able to provide completely anonymous, decentralized and free (uncontrolled) storage of any digital assets: from electronic money, such as cryptocurrencies, to secure property inventories and election registers. Therefore, further intensive implementation of this technology in various applications should be expected, as Blockchain implements a reliable and secure way to store distributed data in the decentralized environment. This is achieved through the use of various cryptographic transformations. This section analyzes the promising methods and mechanisms of cryptographic transformation that can be used in a decentralized Blockchain environment to provide various security services, including confidentiality, integrity, accessibility, indisputability, both users and elements/nodes of a decentralized system, etc. The section considers and investigates algorithms and protocols of homomorphic encryption, ring signatures, protocols with zero disclosure, principles of construction of anonymous secure networks, etc.
Developing Animal Picture Game to Improve Young English Learners’ Plural and Singular Mastery

Interactive learning media can engage young learners to effectively absorb learning materials. Therefore, this developmental research was conducted to produce an interactive game that improves young learners' mastery of plural and singular nouns and enrich young learners' animal-related vocabulary. The researchers employed the ADDIE development model that began by analyzing problems related to the predetermined topic, analyzing the environment and work situation, designing the product, developing the product based on validation results from three expert validators, and conducting a product trial. The researchers investigated the product’s feasibility by performing a small-sccale trial and a large-scale trial. The research findings indicate that the developed interactive game was practical and useful. In short, the developed interactive game is feasible to assist young learners in learning plural and singular nouns and enrich their vocabulary.
EMDKG: Improving Accuracy-Diversity Trade-Off in Recommendation with EM-based Model and Knowledge Graph Embedding

To maintain attractiveness and reduce redundancy of recommendation, the concept of diversity has been brought up in recommender systems (RS). Thus, advanced RS aim at achieving both better accuracy and diversity facing a trade-off issue between the two aspects. Recently, knowledge graphs embedding methods have been widely used in RS for achieving better accuracy provided with auxiliary information along with historical user-item interactions. However, little work has been done to investigate what effects of diversity it brings along with higher accuracy results and how to achieve the best accuracy-diversity trade-off under such circumstances. In this paper, we propose an EM-model capable of incorporating a generalized concept of diversity for a diversity-encoded knowledge graph embedding based recommendation. Our EM-model alternates between a general item diversity learning and knowledge graph embedding learning for user and item representation, which helps to achieve better results in terms of both accuracy and diversity compared to the state-of-art baselines on datasets MovieLens and Anime. Moreover, extensive experiments prove our model outperforms the baseline with existing diversification methods (MMR and DPP) achieving a better accuracy-diversity trade-off.
The Determinant of BRI Customer Loyalty Using Path Analysis

Customer satisfaction and loyalty will be fulfilled since the company could provide the best products and promotions programs.The purpose of this study is to determine the effects of product and promotion on customer satisfaction and customer loyalty for BRI Bank in Indonesia, specifically in Nunukan, North Kalimantan.Path analysis will be used for analyzing this research which used 100 customers as respondents.The customers consist of 50 BRI Bank's customers.By using Smart PLS for analysis path coefficients, while by using SPSS for pre analyzing the validity and reliability test.This research examined that product quality has positive significant effects on customer satisfaction.The promotion program has positive significant effects on customer, Product quality has no significant effect on customer loyalty, while promotion abd customer satisfaction has significant effect customer loyalty.
PENGEMBANGAN MEDIA PERMAINAN LUKER PADA MUATAN PEMBELAJARAN PPKN KELAS V SEKOLAH DASAR

This research and development produce to develop learning media in the form of the LUKER game (Ludo Keragaman) in PPKn content with socio-cultural diversity material for fifth grade elementary school students. The method used in this research is research and development (R&amp;D) is ADDIE model. This study involved one media expert, one material expert, one linguist, three students on fifth grade at SDN Tugu Utara 17 for one to one trial, and twelve students on fifth grade at SDN Tugu Utara 17 for small group trial. Data collection techniques used in the development of this ludo game are interviews, observations, and questionnaires. The results of this ludo game media trial obtained a score of 85% from media experts, 92.5% from material experts, and 87.5% from linguists. The results of the one-to-one user trial got an average score of 100%, while the small group trial got an average score of 100%. This shows that the LUKER game media obtained a very good score, so that it was declared worthy of being used as a learning media for PPKn theme 8 (Lingkungan Sahabat Kita) for fifth grade elementary school.
Inference Control in a Diabetes Data Set Using a Java-Based Prototype of LDH Algorithm

Data sharing among different entities in the healthcare domain has become an increasingly common practice, where each entity would most likely want to prevent indirect data disclosure via inference channels. The Local Distortion Hiding (LDH) algorithm has been developed to protect sensitive decision tree (DT) rules, which are chosen not to be disclosed when DT construction techniques are applied to the data. This article presents eight experiments using a Java-based prototype that implements the LDH algorithm in a diabetes data set. Our experiments test the ability of the LDH algorithm in two ways, firstly in inference control and secondly in maintaining the structure and the performance metrics of the resulting DT. Our experiments on hiding eight terminal nodes in a diabetes data set using a Java-based prototype that implements the LDH algorithm, yield satisfactory results.
Secure the File Storage on Cloud Computing Using Hybrid Cryptography Algorithm

Abstract: The proposed of this paper is for the security needs of the cloud data center. Blowfish is used to convert encrypt file cuts, takes the minimum amount of time, and has the extreme throughput for encryption and decryption from other compatible algorithms. The idea of spreading and mixing meets the principle of information security. The hybrid approach makes the remote servers more secure when deployed in a cloud environment and, thus helps cloud providers gain more trust from their users. Used for data safety and privacy issues, the basic challenge of separating sensitive data and access control has been met. Cryptography techniques translate original data into an unreadable format. The encryption technique is divided into private key encryption and public-key encryption. Here we will use AES 128-algorithm, DES, RC, and LSB encryption techniques. This technique uses keys to translate data into an unreadable format. Therefore only authorized persons can access data from the cloud server. Ciphertext data is visible to all. Keywords: Cloud, AES, RSA, Blowfish algorithms, Encryption/Decryption Techniques.
PROMs+ : AI-based PROMs (Patient-Reported Outcome Measures) as a Decision Support System (DSS) for the physician

PROMs are based on patient’s perception of a disease and its treatment. It is used to collect important data from the patient regarding a disease progression or treatment outcomes that might not be captured by a clinical measurement at the clinic and may be as important as clinical measurements for
The Mediating Effect of Classroom Learning Environment on the Relationship Between Filipino Language Anxiety and Coping Strategies

This study aims to identify the effect of the classroom-learning environment as a mediator on the relationship between Filipino language anxiety and the coping strategies of college students. This research was undergone by quantitative research design using descriptive and correlation method via mediation analysis. This study uses stratified random sampling; the data was gathered using survey questionnaires involving 300 respondents from first-year colleges to fourth-year college) students. In response to the hypothesis of this study, correlation analysis was used together with the Pearson r and Mediation Analysis using Sobel z Test. The result has shown that Filipino language anxiety and coping strategies have a strong and positive relationship. A strong and positive relationship was also found between Filipino language anxiety and classroom learning environment and the relationship between classroom learning environment and coping strategies. Furthermore, using the Sobel z test, the research found that the effect of the classroom-learning environment partially mediated the relationship between Filipino language anxiety and coping strategies.
Introduction

IoT is experiencing fast proliferation with advancement of computation and communication technologies like edge computing and 5G. Along with this, a mass volume of data is collected and transmitted over IoT, and thereby raise privacy concerns. Sensitive information in the collected data are usually improperly treated without privacy-preserving techniques. Furthermore, data from different sources may be linked to reveal more sensitive information. All these issues put privacy protection under great threats.
PELATIHAN MEMBUAT GAME EDUKASI WORDWALL UNTUK GURU DI KELURAHAN KARATON

One of the impacts of the Covid-19 pandemic is changes the learning process in elementary school from offline learning to online learning method. This student community sevice program is the result of observations to elementary school students in the Karaton village, that find the online assigment is boring and unnacttractive. Wordwall has chosen because it can be applied for any subject and helps student to recall the subject so they will not feel bored because they can do the exercises like playing a game. This training activities attended by 8 participants which is a teacher. The activities held in SDN Karaton 3 and consists a stage that is 1). Materials presentation and practicing how to make Wordwall educational game. Data collection technique used questionnaires and data analysis were taken from participant using questionnaires and data analysis were taken from participant response in average. After the training, participants showe positive results that teachers get to know a new knowledge and skill to use wordwall application for online learning method
A new method for watermarking color images using virtual hiding and El-Gamal ciphering

One of the important issues in the era of computer networks and multimedia technology development is to find ways to maintain the reliability, credibility, copyright and non-duplication of digital content transmitted over the internet. For the purpose of protecting images from illegal usage, a watermark is used. A hidden digital watermark is the process of concealing information on a host to prove that this image is owned by a specific person or organization. In this paper, a new method has been proposed to use an RGB logo to protect color images from unlicensed trading. The method depends on retrieving logo data from specific locations in the host to form a logo when the owner claims the rights to those images. These positions are chosen because their pixels match the logo data. The locations of matching pixels are stored in a table that goes through two stages of treatment to ensure confidentiality: First, table compression, second, encoding positions in the compressed table through El-Gamal algorithm. Because the method depends on the idea of keeping host pixels without change, PSNR will always be infinity. After subjecting the host to five types of attack, the results demonstrate that the method can effectively protect the image and hidden logo is retrieved clearly even after the attacks.
Preface to the CLTM-CLTD 2021 Special Issue

This is the preface of the best works related to the Latin American Master Thesis Contest (CLTM) 2021
Correspondences for image and video reconstruction

Correspondences are prevalent in natural videos among different frames, as well as a set of images sharing a common attribute.Dense correspondences are important for the core problem of many natural image and video reconstruction tasks: recovering texture details with high fidelity.In this paper, we will discuss recent methods in learning and utilizing such correspondences in image and video reconstruction.Specifically, we decompose the network design into several switchable components of different purposes and discuss their applications to different images and video restoration tasks such as super-resolution, denoising, and video frame interpolation.In this way, we can analyze the performance and uncover the generic and efficient network design.Benefiting from the above investigations, our proposed methods achieve state-of-the-art performance on multiple tasks with fewer parameters.Our findings could inspire the network design of multiple image and video reconstruction tasks for the future.
KONSTRUKSI INSTALASI PIPA MIGAS BAWAH LAUT DI TELUK BALIKPAPAN

The purpose of this study is to describe the use of material specifications and methods for the construction of underwater oil and gas pipeline installations. This research uses an applied research method with a case study approach in the context of replacing an underwater oil and gas pipeline from the North Penajam Paser coast to the Balikpapan refinery. The results of the research that can be achieved are that the 399 meter long underwater pipe has been replaced with standard API 5L Grade X52 carbon steel specifications and the large lay method by maximizing pipe welding and technical inspection of the welding results on board. Based on the results of this study, it is also recommended that the material specifications and working methods of underwater pipe installation construction work well are applied in similar work areas.
Correlation of Nuclear Morphometry with Clinicopathologic Parameters in Malignant Breast Aspirates

Shilpa GargBackground Nuclear size, shape, chromatin pattern, and nucleolar size and number have all been reported to change in breast cancer. Aim The aim of the study was to quantify nuclear changes on malignant breast aspirates using morphometry and to correlate the morphometric parameters with clinicopathologic features such as cytologic grade, tumor size, lymph node status, mitotic index, and histopathologic grade. Materials and Methods Forty-five cases of carcinoma breast diagnosed on cytology were included in this study. Cytologic grading was performed as per the Robinson's cytologic grading system. Nuclear morphometry was done on Papanicolaou stained smears. One hundred nonoverlapping cells per case were evaluated. Both geometrical and textural parameters were evaluated. Results Comparison of cytologic grades with most morphometric features (nuclear area, perimeter, shape, long axis, short axis, intensity, total run length, and TI homogeneity) was highly significant on statistical analysis. Correlation with tumor size yielded significant results for nuclear area, perimeter, long and short axes, and intensity with p < 0.05. The study of lymph node status and morphometry showed a highly significant statistical association with all the parameters. Mitotic count was significantly associated with all the geometric parameters and one textural parameter (total run length). On correlation of ductal carcinoma in situ and histopathological Grades 1 to 3 with morphometry, it was found that all the parameters except long-run emphasis were highly significant with p < 0.001. Conclusion Morphometry as a technique holds immense promise in prognostication in breast carcinoma.
SOCIAL RISKS OF MODERN DIGITAL REALITY

On the basis of analysis of the features of modern digital reality justified social risks associated with changes in the essence of the person. The transition from the sphere of direct contact communication to virtual impersonal reality leads to significant changes in the characteristics of Homo sapiens. These changes themselves are causing new social risks both for the individual and for humanity as a whole.
The Impact of Edge Displacement Vaserstein Distance on UD Parsing Performance

Abstract We contribute to the discussion on parsing performance in NLP by introducing a measurement that evaluates the differences between the distributions of edge displacement (the directed distance of edges) seen in training and test data. We hypothesize that this measurement will be related to differences observed in parsing performance across treebanks. We motivate this by building upon previous work and then attempt to falsify this hypothesis by using a number of statistical methods. We establish that there is a statistical correlation between this measurement and parsing performance even when controlling for potential covariants. We then use this to establish a sampling technique that gives us an adversarial and complementary split. This gives an idea of the lower and upper bounds of parsing systems for a given treebank in lieu of freshly sampled data. In a broader sense, the methodology presented here can act as a reference for future correlation-based exploratory work in NLP.
The Evaluation of E-Learning in Logistics Distribution Practicum Courses Based on Students’ Future Orientation and Case Studies

Logistics Distribution Practicum (LDP) is a course that plays an essential role in the industrial era 4.0.This course provides skills regarding the movement of goods and services relevant to today's online buying and selling transactions.Thus, course learning can not be separated from the motivation to learn from students.This paper aims to evaluate the LDP teaching and learning process for half a semester of lectures from interest, job perception, and case studies given.The study took data from 2 classes with the survey method.Of the 51 data collected, 30 were further processed.The results found that students had a high interest in studying LDP.However, many of them are still hesitant to work in the logistics distribution sector.Cases given in learning are considered to help students understand the learning material.On the other hand, the material still needs to be updated.This research helps develop logistics distribution skills in a case-based curriculum.
STRATEGI PEMBELAJARAN DARING MELALUI ZOOM MEETING

This study aims to describe online learning strategies through Zoom Meeting s for sixth grade students at Sugihan 03 State Elementary School Sukoharjo. This type of research uses a qualitative approach. The subject of this research is the sixth grade teacher at Sugihan 03 State Elementary School Sukoharjo. The data collection tool used is interviews. The data analysis techniques of this research are data reduction, data presentation and conclusion drawing. The results of this study indicate that online learning through Zoom Meeting s greatly influences digital literacy skills for teachers and children. The method in online learning that is often used uses Project Based Learning.
Analysis of the Premium of American Option Based on both Mathematical Method and Python

This paper mainly analyzes the influence of different factors on the price of American call option and put option and European call option and put option.This paper mainly considers the option premium from four aspects: strike price, up factor, down factor, and interest rate.First, this paper discusses the possible situation of stock prices in different periods, and then gives the corresponding market decisions and the consequences of the corresponding market decisions according to different situations.In each case, this paper shows the process of option premium change through binomial tree diagram and a lot of formula analysis, and then compares the American option with the European option.Through this paper, people can have a basic understanding of American option and European option, and people can have a deeper understanding of the operating logic behind them.
Automatic Labeling of Twitter Data for Developing COVID-19 Sentiment Dataset

The COVID-19 has started expanding through the world and has become a pandemic since january 2020 . With the rise of new cases daily along with mass death, nation and society are becoming fearful of it. People from all over the world are expressing their thoughts and views about this pandemic in many social media platforms. Nowadays social media is one of the most common ways to express idea or verdict on something. With the improvement of modern computing technology, machines are constantly being conducted to interpret what people express in social media like Twitter, Facebook, Instagram etc. These thoughts or views can be categorized and analysed based on sentiment. In this paper, we have analysed the sentiment of people what they express in social media by using tweets gathering from Twitter. We have categorized the sentiment of the tweets into five classes namely ’Strongly Negative’, ’Negative’, ’Neutral’, ’Positive’ and ’Strongly Positive’. Initially we use the Textblob of python for classification. This classification does not show good results and needs massive change as there lies many new terms related to COVID-19 which effects the sentiment of tweets. We have labeled automatically by creating Regular Expression rules with our new corrected word library which is created by analysing the tweets manually. We have trained a model with the updated labeled dataset with Long short-term memory(LSTM), Logistic Regression(LR), Multinomial Naive Bayes(MNB) and analysed the performance. We found that our data labelling shows better performance comparing to standard dataset.
A STUDY ON PERCEPTIONS OF MARKETING PROFESSIONALS TOWARDS THE DIGITAL MARKETING IN SAUDI ARABIA

The current study was intended to analyze the perceptions of the marketing professional toward digital marketing and digital marketing tools specifically in Saudi Arabia. Approach of this study was quantitative in nature, in which the primary sources were the marketing professionals and secondary sources were relevant journals and articles. Wilska’s (2003) instrument was used to measure perceptions of professional whereas, data was collected with the help of convenience sampling technique. Descriptive statistical analysis was used for this study. Results revealed a significant positive response in terms of agreement about perceptions of marketing professionals to effectiveness of digital marketing in Saudi Arabia. It is revealed that professionals in Saudi Arabia are satisfied with use and effectiveness of different digital marketing tools i.e., SEO Tools, Website Content, SMS Marketing, YouTube Marketing, Social Media Apps like Facebook, Twitter, and blogs. Results explored that on relying digital marketing tools, marketing professionals perceived their business at low cost and it can benefit in different ways. The limitations and suggestions of studies have been addressed.