Reviewerly/exHarmony huggingface dataset:
ENTERTAINMENT RECOMMENDATION

The purpose of a recommender system is to suggest relevant items to users. To achieve this task, there exist two major categories of methods : collaborative filtering methods and content based methods. This project is an entertainment recommendation system. This is a web application where the user can register, and login. After the login , the user will see an dashboard and in the dashboard there are 2 buttons , one is movie recommendation and the other one is music recommendation and.. In the movie recommendation page , top 15 movies based on the ratings will be there and in the music recommendation page , top 15 music based on the atingswill be there. Then the user can logoff from the application
APPROACH TO IMPROVING THE EFFICIENCY OF BUILDING REAL-TIME PERSONALIZED RECOMMENDATIONS IN CLOUD E-LEARNING SYSTEMS

The aim of this study is to develop an approach to building recommendations in e-learning systems using graph database algorithms. In the course of the study, the task is to analyze the approach of using classical relational database algorithms in e-learning systems, identify its shortcomings and propose a new approach using graph database algorithms. Analysis, synthesis, comparison and a systematic approach are applied as the research methods. The article proposes a new approach to building real-time recommendations in e-learning systems using graph database algorithms. As the study result, the key advantages of the developed approach are presented. This article shows how easy it is to model a recommendation domain as a graph, using Cypher as the language for getting data from a graph database. Graph databases allow one to instantly respond to user actions and calculate their recommendations in real time, which makes their suggestions more personalized. A scenario from an e-learning system is taken as an application example.
Reinforce-lib: A Reinforcement Learning Library for Scientific Research

Reinforcement Learning (RL) has already achieved several breakthroughs on complex, highdimensional, and even multi-agent tasks, gaining increasingly interest from not only the research community.Although very powerful in principle, its applicability is still limited to solving games and control problems, leaving plenty opportunities to apply and develop RL algorithms for (but not limited to) scientific domains like physics, and biology.Apart from the domain of interest, the applicability of RL is also limited by numerous difficulties encountered while training agents, like training instabilities and sensitivity to hyperparameters.For such reasons, we propose a modern, modular, simple and understandable Python RL library called reinforce-lib.Our main aim is to enable newcomers, practitioners, and researchers to easily employ RL to solve new scientific problems.Our library is available at https://github.com/Luca96/reinforce-lib.The paper is organized as follows: in section 1 we introduce and motivate our contribution, in sections 2 and 3 we provide a short introduction to the reinforcement learning paradigm, as well as describing three popular families of algorithms, then, in the following section 4 we present our library, finally section 5 concludes our discussion.
Use of a neural network in creating a digital assistant for blind and visually impaired people

The experience of ongoing research in image processing clearly demonstrates the huge scope for the development of new neural networks that can help people in a wide range of tasks. The authors chose the direction of work related to helping people who have vision problems. The article considers a convolutional neural network of the Mask R-CNN model for segmenting objects in an image. During the research the authors study a large number of algorithms that can quickly and accurately process images, such as Faster R-CNN, which was the most efficient in 2020. During the analysis, it was revealed that the use of Mask R-N technology can significantly increase the efficiency of performing tasks, since this algorithm is the latest version of the machine learning model. As a result of the study, a neural network was developed that is capable of identifying and distinguishing a large number of objects in an image. The next step is to refine the algorithm and use additional means of interaction with the hardware of the systems to increase the speed of the neural network. In the future, the resulting neural network will be integrated into the Digital Assistant for the Blind and Visually Impaired Persons application. This application is guaranteed to improve the daily life of people with disabilities who experience certain inconveniences due to their features, and can become the basis for other, larger projects related, for example, to unmanned devices, as well as services whose work is directly based on image processing.
Distributed cracking system of encrypted currency based on blockchain

With the development of computer and Internet technology, cryptocurrency has begun to be widely understood and accepted by people, and it has become a hot spot in the field of technology and finance. Bitcoin is a typical cryptocurrency. Its official wallet does not have a password retrieval function. When the password is forgotten, the wallet private key cannot be decrypted, and the property in the wallet cannot be used. It is possible to crack the wallet file. The demand is getting bigger and bigger. Therefore, this article aims to study the distributed cracking system of encrypted currency based on blockchain. Based on the analysis of cryptographic technology, block chain structure classification brute force cracking and distributed system, a system cracking scheme based on distributed computing network is proposed. Then the distributed cracking system for encrypted currency is designed and implemented. Finally, the system design was tested for performance. The test results show that the system realizes the work of distributed cracking using the idle hardware resources of ordinary personal computers, and the cracking efficiency will increase with the increase of the number of terminals, achieving the goal of system design.
Cybercrime: Victims’ Shock Absorption Mechanisms

The development of technology creates opportunities for businesses, seamless communications and leisure activities to thrive. However, it also propels crime. In Nigeria, cyber threat continues to evolve rapidly with rising number of victims on daily bases. This necessitated the present study that examines the shock absorption mechanism of the cybercrime victims in Nigeria. The data for this study came from a variety of sources, including books, articles, essays, tabloids, and journal publications; a content analysis approach was used to evaluate the data and present using certain words, themes, concepts, or codifications. The study found that the peculiarity of cybercrime lies in the fact that the victims willingly land themselves into it without being forced to do so. It starts with what seem to be a friendly conversation and exchange of correspondences and pleasantries which turns into a scamming spree. To this end, victims are left battered and shattered, and could act irrationally against own-self before state actors set out to track the offender(s). Thus, victims of cybercrime could absorb shock by spending quality time with significant others. This enables them feel the love and moral supports from close associates, other than wallow in loneliness and isolation which can breed unpleasant stimuli.
Data Structures In Leelus

This is a research poster on data structures using pointer declaration for array dimensionaltype of representation in variable declaration. In this research poster, I will describe type array, term array and value array drawn from both data structureand type system.
Systematic Literature Review Implementation of the Internet of Things (IoT) in Smart City Development

Internet of Things (IoT) "The smart city concept has become a dream that big cities in Indonesia want to achieve, basically the smart city concept focuses on developing the human element using technology. IoT opens up many opportunities for new services by connecting the physical world and the virtual world to various electronic devices. IoT aims to leverage cutting-edge technology to support sustainable services for governments and their citizens. Systematic Literature Review (SLR) is one method in conducting an overview of previous interrelated researchers. The purpose of the literature study in this research is to understand trending research topics, methods, and architecture in the development of smart cities with IoT. In this study, various interesting information was found in various research journals regarding the role of IoT in building a smart city that has a role to serve smart city infrastructure, identify and analyze trends, develop smart cities and become innovations for IoT. Based on the research, there are things that need to be done to improve the study to focus more on the role of IoT that can be more utilized. IoT is also one of the technologies that are widely used in several countries in the development of IoT in the future. IoT in smart cities will become an inseparable technology because humans will increasingly depend on IoT in their daily lives
Factors Influencing Employees’ Information Security Awareness in the Telework Environment

Abstract The full text of this preprint has been withdrawn by the authors due to author disagreement with the posting of the preprint. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Twitter Sentiment Analysis and Its Effect on Society on the Fall of Cryptocurrency

&#x0D; &#x0D; &#x0D; Many employees still have difficulty entering data and searching for appropriate data. Employees still input data manually, and it takes a long time. The existence of a soil observation application in the field of PT. Anugrah Sumber Makmur Minamas Research Center was created with the aim of assisting employees in entering data and searching for data quickly and accurately. This application is made using the PHP programming language and MySQL as the database. The system development method in making this application uses the design sprint method. Based on tests conducted on users, this application functionally runs as expected, and the success rate is 92%&#x0D; &#x0D; &#x0D;
Fundamental Limits of Approximate Gradient Coding

It has been established that when the gradient coding problem is distributed among $n$ servers, the computation load (number of stored data partitions) of each worker is at least $s+1$ in order to resists $s$ stragglers. This scheme incurs a large overhead when the number of stragglers $s$ is large. In this paper, we focus on a new framework called \emph{approximate gradient coding} to mitigate stragglers in distributed learning. We show that, to exactly recover the gradient with high probability, the computation load is lower bounded by $O(\log(n)/\log(n/s))$. We also propose a code that exactly matches such lower bound. We identify a fundamental three-fold tradeoff for any approximate gradient coding scheme $d\geq O(\log(1/\epsilon)/\log(n/s))$, where $d$ is the computation load, $\epsilon$ is the error of gradient. We give an explicit code construction based on random edge removal process that achieves the derived tradeoff. We implement our schemes and demonstrate the advantage of the approaches over the current fastest gradient coding strategies.
Towards a Calibrated 360° Stereoscopic HDR Image Dataset for Architectural Lighting Studies

High fidelity 360 degree images enhance user experience and offer realistic representations for architectural design studies. Specifically, VR and hyper-realistic imaging technologies can be helpful tools to study daylight in architectural places thanks to the high level of immersion and its ability to create perceptually accurate and faithful scene representations.
PELATIHAN PEMBUATAN WEBSITE CARRD.CO SEBAGAI MEDIA PERSONAL BRANDING UNTUK PEMUDA DI DESA SERANG

Along with the development of increasingly unstoppable technological advances everyone must think harder to keep up with the times plus the outbreak of the covid-19 virus that changes formal education in online learning. In the current era there are still many people applying for jobs by making written documents in the middle of the digitalization era, especially in the creation of curriculum vitae to apply for jobs. Many things change especially in terms of publication media from print media form to digital form. Non-formal education that exists still does not feel the maximum results in the community. The purpose of this program is to strive to improve the ability to make documents with existing facilities in the community, especially problems in typing and publication. Now there are many platforms that provide media publication of documents for free and this is where the role of students to direct and educate about publication digitally. This program is divided into two sessions, the first is Microsoft Word training to create cover letters, curriculum vitae and certificates and then continued with the creation of One-page site as a publication media. This program is held as many as six times online meetings with zoom meetings. In the implementation of the program participants are led to be able to understand the material provided by making the same thing with the creativity of each result participants are able to make cover letters, curriculum vitae, certificates and also carrd.co website. The results of this program require participants to be able to make a digital job application and publish it into digital media in the form of a website.
PELATIHAN OPIMALISASI APLIKASI MEDIA PEMBELAJARAN BERBASIS GOOGLE (GMEET, GCLASROOM, GFORM) DI TAMAN KEBALEN

Currently, almost everyone uses the sophistication of technology that is growing among children, parents, and even everyone. With the very rapid development of technology such as the latest, latest, and very effective applications in the online learning process today. In the environment, there are still many who do not understand how to use applications that have been provided by technology experts. So with learning media application training to make work easier and the target of achieving understanding can be achieved by relying on sophisticated and not boring technology. Through this training, it will be a reference for further learning using learning application media and the results can increase knowledge and information about learning media applications, can increase confidence in the community in developing application media for learning.&#x0D;
PELATIHAN SOLIDWORKS UNTUK MENDESAIN BENDA KERJA DI DESA WANASARI

The world of education is currently facing the industrial revolution 4.0, for the younger generation it is necessary to prepare in terms of abilities in the computer field. Facing the ASEAN Economic Community, competition in the job market is very wide open. The tight world of industrial competition requires workers who are ready to work. Science and technology programs for the community, especially for youth, are intended to help align with the needs of the business world. Training in drawing techniques using computers must be added specifically, one of which is with the necessary development, namely being skilled at using solidwork software. In this case, youth can improve their skills in using software by participating in solidwork training using online methods, namely through zoom, which includes presentation orientation activities, structured exercises and independent exercises. This activity was carried out because considering the demands of the times in the field of design, where designs can be done efficiently with accurate results, repairs can be made in a short time if something goes wrong. This activity is expected to show a positive response from youth in the wanasari village.
Disaster Mitigation Efforts Using K-Medoids Algorithm and Bayesian Network

Disaster mitigation is a series of efforts to reduce disaster risk. One of the disaster mitigation efforts is the supervision of the implementation of spatial planning. Knowing the level of damage to buildings in a region in the event of a disaster can supervise the implementation of spatial planning. To predict the level of damage to buildings in an area, we can use the Bayesian network (BN). There are several types of BN based on the variable type; discrete, continuous, and hybrid BN. A discrete BN is a model in which all the variables involved are discrete. Therefore, if there is a continuous variable, it is necessary to discretize the variable. In this paper, modifications are made to the algorithm commonly used in the clustering process to be used in the discretization process. The algorithm used is the K-Medoids algorithm, where this algorithm uses existing data as a representative of the cluster center. Then, the BN model and the K-Medoids algorithm were used to determine the level of damage to buildings due to the earthquake that occurred in West Sumatra in 2009. From 25,000 house damage data used in this study, we obtain an accuracy rate is 95.17%.
Biomedical event extraction on input text corpora using combination technique based capsule network

Biomedical Event Extraction (BEE) is a demanding and prominent technology that attracts the researchers and scientists in the field of natural language processing (NLP). The conventional method relies mostly on external NLP packages and manual designed features, where the features engineering is complex and large. In addition, the conventional methods on BEE uses a pipeline process that splits a task into many sub-tasks, however, the relationship between these sub-tasks is not defined. In this paper, such limitations are avoided using the combination technique that relies on Capsule Network (CapsNet) to perform a task. The CapsNet is used for the extraction of feature representation from the input corpora and then the combination technique reconstructs the events from RNN output. This method extracts the tasks from a BEE over several annotated corpora that extract the events from the molecular level in case of multi-level events. The proposed model is compared with state-of-the-art models over various text corpora datasets. The results show an improved rate of accuracy of CapsNet classification over cancer biomedical events than the existing methods.
STUDENT'S ATTITUDE AND INTEREST TOWARDS LEARNING TULU SCRIPT

Tulu language is the mother tongue of people in Karavali (costal) Karnataka. The inscriptions started that land from Neeleshwara to Ankola as Tulu Rajya; hence there is a need to recognize the Tulu language. Languages are also prime vehicles of cultural expressions and intangible cultural heritage, essential to the identity of individuals and groups; safeguarding endangered tongues were crucial in maintaining cultural diversity worldwide. People who are well educated will have an interest in learning new and challenging things. Paper made an earnest attempt to know the students’ interest in learning Tulu script, Level of Awareness, and Attitude towards learning Tulu script. The study was carried out in Karnataka by taking 400 students on a random basis. It found that there is a positive relation between Interest, Awareness, and Attitude.
Error-Correcting Codes in the Two-Dimensional Lee Metric on Square and Hexagonal Signal Constellations

&lt;p&gt;We construct linear codes over odd prime fields for correcting two-dimensional Lee-metric errors on the square and hexagonal signal constellations. They are obtained by puncturing and enlarging either Reed-Solomon codes or Bose-Chaudhuri-Hocquenghem codes. We introduce two-dimensional Lee weight on the square and hexagonal constellations in a similar way as the method presented by the first author in 2019 International Symposium on Information Theory, and propose an effective method for correcting two-dimensional Lee-metric errors of weight &lt;em&gt;t&gt;=1&lt;/em&gt;. The concept of value-locator of an error, which was introduced implicitly by K. Nakamura in 1979 and inherited to the above conference paper, is a key for decoding error-correcting Lee-metric codes. Our decoding method is based on the Buchberger algorithm for finding Groebner bases of ideals in the multivariate polynomial ring. The results of simulations show that our codes are more powerful for correcting two-dimensional Lee-metric errors in the two-dimensional signal constellations than the conventional codes for correcting Hamming-metric errors and one-dimensional Lee-metric errors, and the decoding method works well for correcting two-dimensional Lee-metric errors of small weight &lt;em&gt;t.&lt;/em&gt;&lt;/p&gt;
Experimental Verification of the Reading Comprehension Intervention for the German Language as L3

Aim. The main aim of the research was to verify the reading comprehension intervention program for the German language that builds on complex models of foreign language text comprehension while stimulating the cognitive, affective and social levels of reading. Methods. The respondents of the research were studying English language in their 3rd year in secondary schools in Slovakia. The data were collected with the didactic reading comprehension test for the German language (Hockicková et al., 2020). The research was conducted through a pre-test before the intervention program and a post-test after the intervention. The basic characteristics of the examined variables were described using descriptive statistics. A paired t-test was used to detect differences in reading comprehension before and after the intervention. Results. The results of the research confirmed an increase in German texts comprehension in each experimental group. A statistically significant difference in reading comprehension performance was not confirmed in the control groups without completing the intervention program. Conclusion. The reading comprehension intervention program for the German language at A2 level appears to be effective in the direction of increasing performance in reading comprehension of German texts. The intervention in German text comprehension is manifested in two simultaneous work practices, namely in the development of predictors and in working with different types of texts as well as different reading strategies.
A Casual Analysis in Research on History of Education

Aim. The purpose of the study is to reveal the cognitive potential and limitations of causal analysis in historical and pedagogical research and to consider alternative methods of explaining historical and pedagogical facts. Methods. Methodological significance for the study were the principles of historicism, objectivity, historiographical tradition, taking into account the totality of facts. To implement the goal a set of theoretical methods was used: analysis, synthesis, comparison, generalisation, and systematisation of scientific positions, historical-genetic, historical-comparative, historical actualisation of the problem. Results. The essence of causality as one of the most important forms of interconnection and interdependence of phenomena and processes of being, expressing a special genetic relationship between them, reveals the specificity of functional and stochastic (random) causality. Historical forms of determinism were characterised: classical (linear), non-classical (non-linear) and neoclassical (fractal). Conclusion. The search for monocausal determination in the study of historical and pedagogical processes seems unproductive. To get a more complete and reliable picture of the cause-effect relations the causal analysis should be complemented by teleological analysis, which will make it possible to find out not only why, but also for what purpose certain actions were carried out. Only in this case is it possible to provide scientific and objective historical explanations and interpretations, the adequacy of understanding of historical and pedagogical facts, to find ideas and meanings in the past experience, which will help to solve contemporary educational problems, to predict the development of education in the future.