Reviewerly/exHarmony huggingface dataset:
ANALYSIS OF DIRECTIONS FOR USING THE PRINCIPLE OF MODULARITY IN THE DEVELOPMENT OF TRAINING PROJECTS ON ROBOTICS IN UNIVERSITIES

The article analyzes the current requirements for the design process of robotic systems. The article discusses the application of the principle of modularity in the design of educational robotic systems based on the Arduino Uno platform. The use of this principle provides an almost unlimited set of capabilities for solving robotic problems. The authors present the main advantages of developing robotic systems using the principle of modularity. The process of implementing the principle is shown on the example of projects: creating a weather station and a prototype of a search robot. The authors provide options for the use of weather stations for environmental monitoring. A brief review of existing autonomous weather stations has been carried out. The following is the process of modeling, assembling and tuning the copter. Particular attention is paid to the choice of components and their compatibility. In the work on the weather station, attention is paid to changing the configuration and writing a control program. When creating a prototype of a search robot, special attention is paid to setting up complex modules and component compatibility. The article describes in detail the process of connecting the camera to the search robot, presents the received image of the room and examples of object recognition in the image, and considers analogues of the weather station and the search robot. The strengths and weaknesses of the platform for creating complex robotic systems have been identified. At the end of the article presents conclusions about the use of the principle of modularity in practice.
UPAYA MENINGKATKAN HASIL BELAJAR EKONOMI MELALUI METODE PEMBELAJARAN EVERYONE IS A TEACHER HERE (SEMUA BISA JADI GURU) PADA PESERTA DIDIK KELAS X.AK 1

Problems in this study are 1) the low learning outcomes of economic subjects in class X.AK 1, 2) interaction in learning has not been well established, 3) the learning process is still centered on the teacher and 4) the attitude of learning of some students is still tend to be passive during the learning process. In this study the authors use the method of learning everyone is a teacher here with the aim of increasing the activity and economic learning outcomes of students in class X.AK 1 in economic subjects at SMK Negeri 8 Bandar Lampung in the academic year 2019/2020. This research is a Classroom Action Research (CAR) conducted in two stages of the cycle which in its application uses the learning method everyone is a teacher here. The subjects in this study were students of class X.AK 1 SMK Negeri 8 Bandar Lampung, amounting to 33 students. The results showed the percentage of student activity increased from 57.42% in cycle 1 to 76.65% in cycles 2. The percentage of learning outcomes increased from 66.67% in cycle 1 to 81.82% in cycle 2. So it can be concluded that learning activities by applying the learning method everyone is a teacher here can improve the activities and economic learning outcomes of students in class X.AK 1 SMK Negeri 8 Bandar Lampung in the academic year 2019/2020.
Analysis of Online Learning Understanding Patterns at Budi Darma University Using the C5.0 Algorithm

Online learning is a learning process that is carried out without face to face, but at a distance that utilizes communication and information technology that utilizes the internet. The emergence of the online learning process provides considerable benefits, both for the manager of the information system and for students and students. Currently, the development of online learning is becoming popular among schools and universities. This is caused by the corona virus or what is often called Covid-19. Covid-19 is one of the viruses that first emerged and developed in China, especially in the city of Wuhan. Initially this virus only infects a few people, but in fact this virus can move places or can be transmitted through direct contact with the sufferer. This virus has infected the whole world so this is an international problem that must be addressed. Various efforts have been made, one of which is in the field of education. The closure of schools and colleges is an effort made to break the chain of development of COVID-19, so that the teaching and learning process is carried out online. In this study, an analysis of student satisfaction assessment will be carried out on the online learning process using the existing methods in data mining. Data mining has several algorithms that are used to solve these problems, one of which is the C5.0 algorithm. The result of this study is to find out the results of the satisfaction assessment of online learning during the Covid-19 pandemic
Stream-Based Vertex cut partitioning with Buffer support for Power-law graphs(SVBP)

Evolution of online technologies and usage resulted in massive data collection, analyzing and visualizing such huge data through graphs has become one of the interesting areas of research.  The Big graphs created for massive data are very huge and cannot be processed by a simple machine at an adequate amount of time any-more. So the Big graphs are to be partitioned and stored on different machines to process and analyze them quickly.  Traditional graph partitioning methods can no longer does this task since it follows of-fline processing and requires to store and access the entire graph from one machine leading to memory bottlenecks and also  time consuming.  Hence, Streaming Graph partitioning methods have gained momentum and these methods can partition real time online graphs directly and efficiently.  Streaming graph partitioning me-thods takes stream of edges along with its end vertices as input into a Scheduler machine.  The scheduler machine intern partitions the graph and assigns the nodes and edges to different partitions as re-ceived. Since entire graph cannot be made available to the scheduler machine at any given point of time, it assigns edges to partition ma-chines based on using some partition criteria that may not be optimal. Scheduler’s decision can be notably improved if partitioning is done only after receiving sufficient information of the node or edge being allocated. This paper recommends an efficient Buffer-based edge streaming algorithm called SVBP for graph partitioning. This method implements the idea of delaying the assignment of few edges and restream them at right time to improve partitioning effi-ciency. Our method uses a Buffer to store the edges whose partition-ing is delayed. The SVBP algorithm is evaluated on real-time power-law graphs that are notably large.  Our method is able do the job of partitioning efficiently on all the graphs by keeping the replication factor minimum and balancing the load across partitions legitimately good compared to other algorithms.
Development of FasTtext Pre-Trained Model for Bangla NLP Research

Due to the expansion of data generation, many more NLP tasks need to be solved. To do so, word representation plays a vital role. Computational-based word embedding in various high languages is very resourceful. However, considering low resource languages like Bangla have very limited resources available like models, toolkits, and datasets. Here, in this paper, we have proposed a BanglaFasttext word embedding toolkit based on python and two big pre-trained Bangla models of fasttext (skipgram & cbow). These pre-trained models are trained on a large Bangla corpus (around 20 million observations). Besides BaglaFastText outperforms Facebook’s fasttext with a significant margin. To evaluate these pre-trained models, we have used three popular textual Bangla datasets, developed models on top of that various machine learning classical approaches as well as deep neural network and these have been implemented for performance analysis. The evaluations have been shown a pretty good performance rather than existing word embedding techniques and Facebook Bangla fasttext pre-trained for Bangla NLP. In addition, we also compared the performances of this work considering the original works of these textual datasets where our proposed work outperforms all these existing works.
Beyond Bitcoin: The Economics of Digital Currencies and Blockchain Technologies (Chapter 5: The Rich Land of Crypto)

Concluding thoughts and outlook for the future of the technology. For Chapter 1 (Introduction), see https://ssrn.com/abstract=3135021. For Chapter 2 (Means of Exchange: Ever-present Competition), https://ssrn.com/abstract=3135028. For Chapter 3 (Platform-based Currencies), see https://ssrn.com/abstract=3135030. For Chapter 4 (Bitcoin and Emergence of Cryptocurrencies), see https://ssrn.com/abstract=3135043. For Chapter 5 (The Rich Land of Crypto), see https://ssrn.com/abstract=3135057. For Chapter 6 (Smart Contracts and Blockchain), see https://ssrn.com/abstract=3894110. For Chapter 7 (Enterprise Blockchains), see https://ssrn.com/abstract=3894117. For Chapter 8 (Conclusions: Future Full of Possibilities), see https://ssrn.com/abstract=3894118.
Opening Our Deep Backfiles: Identifying Open and Public Domain Serial Content in Library Collections

This lightning round talk presented at the 2021 NC Serials Conference discussed a Penn Libraries project to open up their deep serials backfiles. The presenters outlined steps they took to research mid-20th century serials copyrights and create Wikidata items in order to make the content freely available to the world.
Multi-Tenant RDBMS Migration in the Cloud Environment

In a multi-tenant business environment, tenants share the same applications and databases to store their data. Due to the widespread use of a multi-tenant environment, the service providers face difficult challenges daily. These challenges are condensed in how to guarantee the quality of service provided to tenants, which are documented in a formal document known as a Service Level Agreement (SLA). In addition, SLA should consider the irregular patterns of workload of tenants which may affect the level of guarantee. In this research, an Enhanced Multi-Tenant Database Management System (EMT DBMS) is proposed. In addition, an Enhanced Multi-tenant Migration Algorithm called EMT-M is presented, which aims to migrate the violated tenants depending on both the number of SLA violations and the variance rate. Experimental results prove that the proposed EMT-M algorithm is ideal for migrating violated tenants, as it reduces the number of SLA violations compared to previous migration algorithms.
Short Communication: Situation of COVID-19 Wave II: Where will Nepal go?

Nepalese were working in different parts of India. When they return back to Nepal, and when they tested for PCR majority of them resulted CP positive. Nepal government failed to trace all the Nepali workers who entered Nepal from porous border. Nepal government did not take it seriously, although, the situation in India was worse. It has resulted a high possibility that many of them may have carried COVID-19 into the country spread in countryside Last, year also major cases of COVID-19 were imported from India and led to rapid community spread1. Nepal should have in very high alert situation, to make proper management of Nepali people returning from India with 100% coverage of people with PCR and other related tests.
PELATIHAN TEKNIK DASAR MERAJUT SEBAGAI PELUANG USAHA BAGI IBU-IBU PKK RT 01 KELURAHAN MEKARJAYA DEPOK

In the development of advanced technology as it is today, public appreciation of art is not necessarily forgotten, especially the art of knitting which is currently increasingly popular, as a form of art while meeting the needs of the community for a product. Knitting products can be a promising business opportunity for housewives who are members of PKK RT 01 RW 13 Kelurahan Mekarjaya Depok, where some of them have free time, so they can help meet the economic needs of the family and increase the economic growth of the city of Depok. The purpose of this community service activity is to teach knitting skills as an effort to develop self-potential and increase creativity for women who are the members of PKK, as well as fostering an interest in entrepreneurship.The methos used in this activity are socialization and training methods. From the result of the training it was found that most of the participants have mastered the basic techniques of knitting through hands-on practice during training. Most of the participants also understood regarding entrepreneurship and business management and have an interest in starting a business. Keywords: Basic Knitting Techniques, Business Opportunities
Catching Phishers By Their Bait: Investigating the Dutch Phishing Landscape through Phishing Kit Detection

Off-the-shelf, easy-to-deploy phishing kits are believed to lower the threshold for criminal entrepreneurs going phishing. That is, the practice of harvesting user credentials by tricking victims into disclosing these on fraudulent websites. But, how do these kits impact the phishing landscape? And, how often are they used? We leverage the use of TLS certificates by phishers to uncover possible Dutch phishing domains aimed at the financial sector between September 2020 and January 2021. We collect 70 different Dutch phishing kits in the un- derground economy, and identify 10 distinct kit families. We create unique fingerprints of these kits to measure their preva- lence in the wild. With this novel method, we identify 1,363 Dutch phishing domains that deploy these phishing kits, and capture their end-to-end life cycle – from domain registration, kit deployment, to take-down. We find the median uptime of phishing domains to be just 24 hours, indicating that phishers do act fast. Our analysis of the deployed phishing kits reveals that only a small number of different kits are in use. We dis- cover that phishers increase their luring capabilities by using decoy pages to trick victims into disclosing their credentials. In this paper, we paint a comprehensive picture of the tac- tics, techniques and procedures (TTP) prevalent in the Dutch phishing landscape and present public policy takeaways for anti-phishing initiatives.
The Influential Relationship of Strategic Flexibility in Business Sustainability in the Pharmaceutical Companies’ Sector in Jordan

Purpose: This study aims to investigate the impact of strategic flexibility on business sustainability in pharmaceutical companies in Jordan. Design/Methodology/Approach: The researchers have designed a questionnaire consisting of (37) items that included the independent variable, strategic flexibility in its dimensions (productivity, marketability, competitiveness, and proactivity), and the dependent variable in business sustainability with its dimensions (economic, social, and environmental). It was distributed to pharmaceutical companies in Jordan, where the researchers used the comprehensive survey method as the size of the study population reached (125) managers, the sample size was (125), among which (123) were valid for analysis, and two were excluded. Findings: The study found a set of results, including the level of both strategic flexibility as well as its dimensions (productive flexibility, marketability, competitiveness, and anticipation) and business sustainability, as well as its dimensions (economic, social, and environmental), in pharmaceutical companies being high, according to the viewpoint of the sample members, as well as the existence of a statistically significant impact at 5% level of significance of strategic flexibility with its combined and individual dimensions (productivity, marketability, competitiveness, and proactivity) on business sustainability in its combined dimensions (economic, social, and environmental). Practical Implications: The study recommends higher management in pharmaceutical companies and boards of directors to pay more attention to the topics of business sustainability in its dimensions (economic, social, and environmental) and strategic flexibility in its dimensions (productivity, marketability, competitiveness, and proactivity), especially in light of the conditions that the world is experiencing under the impact of the Corona pandemic and its negative repercussions on the economy and human health.
Non-deterministic solvers and explainable AI through trajectory mining.

Traditional methods of creating explanations from complex systems involving the use of AI have resulted in a wide variety of tools available to users to generate explanations regarding algorithm and network designs. This however has traditionally been aimed at systems that mimic the structure of human thought such as neural networks. The growing adoption of AI systems in industries has led to research and roundtables regarding the ability to extract explanations from other systems such as Non-Deterministic algorithms. This family of algorithms can be analysed but the explanation of events can often be difficult for non-experts to understand. Mentioned is a potential path to the generation of explanations that would not require expert-level knowledge to be correctly understood.
EZ-Umberbike / Nurshahira Ruslan

Rainy day becomes a problem for some people especially the one who use a bicycle as a main transport. So, our EZ-UMBERBIKE will helps them to overcome this problem as it can fully protect the users body, easy to be install and affordable. It also comes with side mirror for safety features. The various colour and pattern of EZ-UMBERBIKE will make it suitable for many people; either young or old man. This bike umbrella comes with special features like sturdy, windproof, waterproof, safety and anti-theft features as it is created using double canopy design for wind protection, 3 digit password padlock for anti-theft features and high quality materials for long lasting effect.The double canopy technology are applied to this bike umbrella to prevent the accumulation of pressure at the supporting structure and thus to prevent the damage of this structure by a strong wind. A special anti-theft features that created by applying the 3 digit password padlock for both umbrella stand and side mirror will becomes a special features that cannot be found at other bike umbrella. EZ-UMBERBIKE are made up of high quality polyester pongee fabric, sturdy tempered spring rod, light-weight aluminium stretcher, sturdy umbrella stand and small side mirror with 3 digit padlock. We will introduce our bike umbrella to the public and will make it trending in Malaysia so that we can increase our market size in future.The EZ-UMBERBIKE has features and functions that cannot be found in current’s bike umbrella, thus, it will provide a competitive advantages over the other recognised competitors.
Comparision Of Fuzzy Logic And Pid Controller In Non-Linear System Using Matlab

In this project we use Fuzzy logic controller and PID control in the non-linear system using MATLAB. The PID controller controls process variables such as temperature , pressure, speed, flow, etc. We have used a round tank because it has better solid waste disposal, easier mixing, and a complete flow of non-liquid chemicals such as industrial liquid. However, in the task of controlling at the level of the circular tanks, the PID failed to provide a quick response due to inconsistencies in the system. To overcome this regression we use a standard system controller called Fuzzy Logic Controller.
Research on the Characteristics and Mode of Online Teaching in Colleges and Universities During the COVID-19 Epidemic Based on CiteSpace

Uses CiteSpaceV software to compare and analyze the knowledge map of the journal literature data on online teaching in colleges and universities collected in the CNKI database from 2015 to 2020 and the journal literature data on online teaching during the COVID-19 epidemic period from 2018 to 2019. Look for the research hotpots and research frontiers of online teaching in colleges and universities, explore the characteristics and models of online teaching in colleges and universities during the COVID-19 epidemic, in order to provide objective and effective information support for the exploration of online teaching practice in domestic colleges and universities after the COVID-19 epidemic.
Will children with autism make improvements on language skill and social interaction by flashcard

Social interaction is individual problem which caused limitation, including to Autism Spectrum Disorder (ASD) who have obstruction in language skill, that the individual can communicate expressively and receptively. This research was aimed to identify the effects of language skill to the improvement of social interaction on children with ASD by using flashcard. Moreover, this research was an experimental research with random pretest posttest design. The subjects in this research were taken from 6 kindergarten students in 7-8 years old who have diagnosed as autism, particularly they were able to do babbling. The instrument of research was ATEC (Autism Treatment Evaluation Checklist) on social sub-test and language skill scale by Massey. The data analysis employed non-parametric method through Mann Whitney test, Wilcoxon test, and Kendall’s tau-b test. The analysis result from Kendall’s tau-b showed Z= 0.654 and p value= 0.024
Vehicle Run-off-Road Event Automatic Detection by Fiber Sensing Technology

We demonstrate a new application of fiber-optic-sensing and machine learning techniques for vehicle run-off-road events detection to enhance roadway safety and efficiency. The proposed approach achieves high accuracy in a testbed under various experimental conditions.
On My Knees

Curriculum is powerful in its ability to oppress or to free. My two sons who came to us through adoption, just as they were turning five years old, have graciously given me the gift of recognizing that deep learning happens in the unknown, not in the known. When curriculum is defined by what is known the risk of systemic oppression runs high and the opportunities for personal and collective growth are stymied. Moving to an understanding of curriculum as embracing the unknown allows educators opportunity to draw on what they know only for the purpose of being in reciprocal relationship with their students so that together they come to honour the worth and interconnectedness of all people and our environment. Such curriculum will never allow us to idolize knowledge, only spur us on humbly and with gratitude that comes with being in the presence of wonder.
Research on the Audit of Natural Resources Assets from the Perspective of Big Data Cloud Computing

With the rapid development of information technology in the era of big data, cloud computing technology is applied to all aspects of social life. There are many kinds of natural resource assets, and the formulation of audit standards and the selection of audit methods are difficult. This paper studies the application of big data cloud computing in the audit of natural resource assets, which plays an important role in mining the useful information carried by audit data, in order to solve various practical problems faced by natural asset audit, improve audit efficiency, reduce audit risk and ensure the quality of audit At the same time, it analyzes and discusses the problems of data and information security in the current cloud audit. The application of big data cloud computing technology is the development trend of the times, which has a huge role in promoting the audit of natural resources assets, and will also provide experience for the historical change of full audit coverage.