Reviewerly/exHarmony huggingface dataset:
SCIENTIFIC BASIS OF PROJECT-BASED LEARNING TECHNOLOGY

The scientific article analyzes the importance of studying the technology of project-based learning. It is concluded that the technology of project-based learning has a direct impact on the humanization of the individual as a person, forming the intellectual, professional, moral, spiritual, civic and other qualitative qualities of the student. The role of the student in the formation of personality is determined. Briefly about the history of project-based learning. The design method consists in finding, finding and solving students ' problems in any situation, organizing independent work, activities. As the advantages of project training, it is proposed to show the results of the knowledge obtained on the basis of logical thinking of the student, increasing his self-confidence and capabilities, working on the project and realizing the responsibility assigned to them. The goals and objectives of project-based learning are defined, and the ways of their application in the educational process are outlined. The types of project-based learning technologies used in preschool education are offered. Scientific research related to the technology of project-based learning is updated, updated, supplemented and developed over time.
Exam Management System at Notre Dame University Bangladesh

Exam Management System (EMS) at Notre Dame University Bangladesh (NDUB) is an effective system for man- aging exam and course-related activities for NDUB. EMS auto- mates the conventional system of managing exams. EMS helps NDUB faculties, students, and other academic officers to manage the exam processing very easily and effectively and EMS can maintain mobility of these activities better than conventional manual systems. The main intentions of EMS are to conduct the exam and course-related activities very easily and rapidly. Comprehensively EMS has many interesting features altogether situated in a fair intended web application. EMS is designed using recent technologies like ‘Laravel 7.0’, ‘Bootstrap’, ‘JavaScript’, ‘jQuery’, ‘MySQL’. EMS’s working speed is very rapid and its database can take a massive user load at a time. EMS can be very useful for the exam and course-related operations of Notre Dame University Bangladesh.
LibGuides: Mann Research Consultation Guide FOR LIBRARIANS during COVID-19: Using Zoom for synchronous remote teaching activities

This guide is for Mann Librarians to learn about best practices for online (Zoom) research consultations.
Probabilistic robust linear quadratic regulators with Gaussian processes.

Probabilistic models such as Gaussian processes (GPs) are powerful tools to learn unknown dynamical systems from data for subsequent use in control design. While learning-based control has the potential to yield superior performance in demanding applications, robustness to uncertainty remains an important challenge. Since Bayesian methods quantify uncertainty of the learning results, it is natural to incorporate these uncertainties into a robust design. In contrast to most state-of-the-art approaches that consider worst-case estimates, we leverage the learning method's posterior distribution in the controller synthesis. The result is a more informed and, thus, more efficient trade-off between performance and robustness. We present a novel controller synthesis for linearized GP dynamics that yields robust controllers with respect to a probabilistic stability margin. The formulation is based on a recently proposed algorithm for linear quadratic control synthesis, which we extend by giving probabilistic robustness guarantees in the form of credibility bounds for the system's stability.Comparisons to existing methods based on worst-case and certainty-equivalence designs reveal superior performance and robustness properties of the proposed method.
LibGuides: OneSearch: The Library Discovery Tool: Searching for Course Reserves

This guide is here to help the Cal State LA campus become more familiar with the library discover tool and how it works.
Extracting Interesting Sequence Association Rules from a High-Dimensional Healthcare Dataset using Multiobjective Metaheuristics

This project is part of a larger research program looking to define, detect and predict dangerous polypharmacy cases, or situations where the prescription of multiple medications has unexpected negative consequences. The main objective of this project is to find interesting association rules between combinations of drugs and health outcomes.
An In-Depth Look at the Images for Finding Information using Deep learning and Reverse Image Search

An In-Depth look at images for finding information using deep learning and reverse image search explains that current technology necessitates a modern approach for extracting information from images. Generating a caption from an image may require computer vision and natural language processing concepts for generating the caption in a natural language like English etc. This paper attempts to show how more information can be generated from an image for further analysis of making some predictions. This project is able to detect the person's identity if a person's face is visible in the image as well as all about the image as to where it has taken resolution, and all other factors. The entire project will describe as much information as possible and utilize it for further analysis. For example, given a white lion image then the image may tell the output as “The white lion is a rare color mutation of the lion, specifically the Southern African lion.” or if an image contains a person as an anonymous then the output will be like “Name, Address and lot more”. It can give you complete information about an image, apart from the basic information and the EXIF data, it also shows other useful and in-depth data. There are some reasons that why you need to get information from a photo if a photo you saw that selling a product at a cheap price then we definitely may be interested to buy but wait that may be a scam or what if someone send you the friend request that is the real or fake person that also we have to be aware and what if you are going to meet with a wrong people if he used a fake photo last time with you and you are going to meet with the wrong guy.
ABILITY TO KNOW LETTERS THROUGH LETTER CARD GAME IN GROUP A IN PAUD DARUSALAM AR-RIZKI GEDONGTATAAN

Playing activities are a very effective way to develop the potential that exists in children. This is in accordance with the principles of learning in kindergarten education, where early childhood education is playing while learning, learning while playing. However, in reality, the teacher has not been able to develop ideas that can develop aspects of child development in learning activities, especially in recognizing letters so that the child's ability to recognize letters is still low and the way of pronouncing it is also unclear. This study aims to improve the ability to recognize letters (mentioning letters, show letters, and connect letters) by using letter cards in early childhood group A in PAUD Darusalam Ar-Rizki.This type of research is classroom action research conducted collaboratively between researchers and class teachers. This Classroom Action Research consists of four important stages, namely: planning, implementing, observing, and reflecting and using 2 cycles. For the research object were students and female students of group A as many as 18 children. Data collection techniques in this study through observation, interviews and documentation. The results of this study indicate that the ability to recognize letters of group A children in PAUD Darusalam Ar-Rizki can be improved using letter card media. In the learning process of guessing letters on letter cards, each child carries or holds the letter card directly and plays it according to the teacher's instructions, namely mentioning letters, showing letters, and connecting letters. The results of this study indicate that there is an increase in the ability to recognize letters, namely in the pre-cycle by 22.6%, increasing in Cycle I to 54.8%, and in Cycle II an increase of 98.2%. From this explanation, it can be understood that the increase in pre cycle to cycle I was 41.2%, and from cycle I to cycle II increased by 53.7%. So it can be concluded that the ability to recognize letters in group A children in PAUD Darusalam Ar-Rizki can be improved through letter card game media.
STUDENT'S PERCEPTION TOWARDS THE USE OF EDMODO IN LEARNING EFFECTIVE LISTENING IN THE PANDEMIC COVID-19 PERIOD

Virtual class or commonly referred to as online class is one form of learning media that uses the Internet specifically during the quarantine of covid-19. Quantitative descriptive analysis in this study examines the student’s perception of English Literature Study Program Universitas Flores about the use of the Edmodo platform in Effective Listening class at the time of Covid-19 quarantine. The number of samples in this study is 44 students of English Literature Study Program of Universitas Flores who have been taken Effective Listening class during the Covid-19 quarantine period. The result is that Edmodo platform used in Effective Listening class was positive. The average of 98% of English Literature Study Program Students of Flores University agreed to use Edmodo applications as learning media to learn Effective Listening Class at Covid-19 quarantine time since it is user-friendly. This is because Edmodo's interface looks like a Facebook as social media that students have known in their daily lives
THE CONCEPT OF DRAMATIZATION AND ITS MEANINGS

Dramatization is a living, state-synthesizing, active internal activity peculiar to the subject; it is difficult to fit into a strict definition; thus, because of all the above, it appears to be a concept. Based on the peculiar methodology of Georges Bataille, with its goal to express the experience of the impossible, the categorical apparatus of M. Heidegger’s existential phenomenology, hermeneutics, historical and philosophical analysis and the use of the given concept, an attempt was made to penetrate the depths of the creative act and personality characteristics of the author. The latter (poet, philosopher) is engaged in mythopoiesis, he does not just create a special language and lives in it but conveys something through it, this being his destiny, his drama. In this regard, we should speak about the expression of Being, where dramatization plays a significant role. Dramatization is the process that helps to «go beyond oneself» to the unknown and transcendental. There are other meanings as well. For example, from an existential point of view, a person who dramatizes his existence becomes closer to understanding language, phenomena and the meaning of his life. Dramatization helps bridge the gap between things and words. The key figures of our research are Plato and G. Bataille, in whose philosophizing two types of dramatization are most clearly traced. The first type is rational, where drama unfolding in life and in one’s own philosophy is presented; the second one is irrational, associated with inner experience, mystical ecstasies, dramatization to exhaustion. At the same time, Plato and Bataille have common features: moments of experiencing death, incompleteness, and overcoming limits. This text may be of particular interest to those who deal with the philosophical problems of the creative process (further development of dramatization in relation to other similar concepts would help understand it at a higher qualitative level), a comparative analysis of antiquity and postmodernism.
SSA2D: Single Shot Actor-Action Detection in Videos (Student Abstract)

We propose a single-shot approach for actor-action detection in videos. The existing approaches use a two-step process, which rely on Region Proposal Network (RPN), where the action is estimated based on the detected proposals followed by post-processing such as non-maximal suppression. While effective in terms of performance, these methods pose limitations in scalability for dense video scenes with a high memory requirement for thousand of proposals, which leads to slow processing time. We propose SSA2D, a unified end-to-end deep network, which performs joint actor-action detection in a single-shot without the need of any proposals and post-processing, making it memory as well as time efficient.
Advanced Programming: The Future Implication on Cryptocurrency-Digital Money Mining and Energy Consumption

Advanced blockchain programming is extremely complex while the basic idea is simply to decentralize data storage so as not to own, control or manipulate such information by a central actor.This article focuses on the emerging phenomenon of energy sustainability mining cryptocurrencies.Cryptocurrencies are digital financial assets for which a cryptographic decentralized technology guarantees ownership and transfers of property.The increase in market value and the increasing global popularity of cryptocurrencies are giving rise to a number of energy consumption concerns.This introductory article discusses the main energy consumption trends in the academic study related to cryptocurrencies and underlines the contributions of the works selected in literature, using both descriptive and qualitative approaches.The information used is secondary, obtained from journals, conference papers examined, work paper and reports by consultants dealing with cryptocurrency mining's energy consumption.We argue that cryptocurrencies may perform useful functions and add value for money, but there are reasons for favoring market regulation.Although this goes against the original libertarian reasoning behind cryptocurrencies, it seems a step forward in improving the welfare of energy consumption.
Penerapan Model Nurs Dalam Pembelajaran Membaca Bahasa Jerman

Abstract. This research was a class action research consisting of two cycles and was conducted online. The aim of this research was to know the planning, process and outcome of the NURS model in the German reading lesson for students in class XI IPS at the SMA Negeri 2 Bantaeng. The research data were qualitative and quantitative. The qualitative data were collected by the observations and the quantitative data by the test results in the first and second cycle and analyzed by percentage technique. The result of this research showed that the average student reading comprehension score was 8 in the first cycle and 8,5 in the second cycle. This meant that the use of the NURS model in German reading lesson for students in class XI IPS at the SMA Negeri 2 Bantaeng could increase.
Evaluation of Personnel Information System Performance at the Department of Population and Civil Registration of Bengkayang Regency Using COBIT 5

The Bengkayang Regency Population and Civil Registry Service is an institution that aims to record population administration data which includes data including birth data, marriage data and death data, identity cards, family cards, and children's identity cards. The Dukcapil Service Office is one of the services that serves the community, especially in population management. This study aims to refer to the version 5 COBIT framework for reviewing the management of Personnel SI at the Bengkayang Regency Population and Civil Registry Service. The domain used in COBIT 5 is "Monitoring, Evaluation and Assessment" (MEA). The results of the study determine the maturity of the Bengkayang Regent's Population and Civil Registry, and provide suggestions for the application of information technology to make it better in the future.
Path finding of indoor mobile robot using harmonic potentials via explicit decoupled group modified accelerated over relaxation method

The harmonic potential fields, a solution to the equation of Laplace are widely used in robot pathfinding as a suggestion for robot course-plotting in an identified environment. The computation of these harmonic functions often involves simulations on a high-performance computer. In the pursuit to solve the problem of robot navigation, this article suggests a technique called Half-Sweep Block Modified Accelerated Over-Relaxation or better known as Explicit Decoupled Group Modified Accelerated Over-Relaxation (EDGMAOR). To verify the effectiveness of EDGMAOR, simulations of robot navigation were applied in a static known enclosed environment. Experiments are provided to assess the performance of the suggested technique. In particular, different starting and goal positions are used to assess the paths generated from the simulations. The outcomes show the advantages of the proposed algorithm. In the end, the research indicates that the proposed method in computing harmonic functions is appealing and attainable for solving path planning problems.
The Optimal Behaviour of a Split Model of Word Recognition Resembles Observed Fixation Behaviour

We expand upon the case for believing that the initial precise splitting of the foveal projection to the visual cortex fundamentally conditions the whole process of visual word recognition. We explore the optimal behaviour of a split architecture that attempts to divide its processing load equally between its two halves. We successfully model three aspects of fixation behaviour in human readers: (a) the positioning of the optimal viewing position to the left of the midpoint of the word, (b) a displaced Gaussian curve of letter-report accuracy resembling an RVF advantage, (c) the tendency for shorter words not to be directly fixated.
Rheumatoid Arthritis Association and SS Drepanocytosis about Observation at Kati Military Hospital Infirmeria (IHK)

Introduction: Rheumatoid arthritis (RA) with a prevalence of 0.3 to 1% in the adult population is a chronic systemic inflammatory disease characterized by proliferative synovitis (pannus) leading to osteocartilaginous destruction leading to joint deformities [1].The aim of this study is to show rheumatoid arthritis masked by sickle cell disease.Observation: This is a 38-year-old male, Soninke, 38-year-old female patient with known sickle cell disease who had consulted for polyarticular pain and lameness.In clinical and paraclinical studies, the diagnosis of rheumatoid arthritis was made in accordance with the ACR / EULAR 2010 criteria for sickle cell disease confirmed by hemoglobin electrophoresis.Conclusion: Rheumatoid arthritis is a common connective tissue disease in women.Its association with sickle cell disease is rare and can be a source of error or delay in diagnosis.
Detection of Acute Lymphoblastic Leukemia in Microscopic images using Image Processing Techniques

Abstract Leukemia is a form of blood cancer that affects the body’s ability to fight against infection. Every year, about 1 million cases of leukemia are reported with an increased mortality rate that can cause a delay in diagnosis and treatment of leukemia. Conventionally, Acute Lymphoblastic Leukemia is identified by manual counting of cells from a peripheral blood smear or by bone marrow aspiration. However, this method is time consuming and prone to human errors. To prevail over this, various automated techniques were introduced which are faster, reliable and cheaper than the manual methods. This paper focuses on how image processing techniques can be used to identify Acute Lymphoblastic Leukemia (ALL) from the peripheral blood smear images.
Manfaat Proloterapi pada Osteoartritis Lutut

Abstract: Osteoarthritis (OA) is calcification of the joint associated with severe painful sensation caused by joint instability. This joint instability is affected by destruction of cartilage that protects the bones. Osteoarthritis can be caused by various factors such as age, genetic as well as vigorous exercise or activity. As the cartilage destruction progresses, the unprotected bone will rub on the other bone in the joint which can lead to osteoarthritis. Management of OA consists of a variety of treatments, such as pharmacological, non-pharmacological, non-pharmacotherapy, and surgery treatments. Due to the development of science and technology, various modalities have emerged that can support the treatment of OA inter alia prolotherapy. Prolotherapy or regenerative injection could influence the recovery of the destructed area directly and relief the painful sensation through the actions of inflammatory cells, macrophages, immune cells, and cytokines, therefore, the improvement of the destructed areas could occur faster. It was reported that knee osteoarthritis could be treated with prolotherapy successfully. In conclusion, since prolotherapy influences the body to repair the destructed areas, hence it could be used as the new osteoarthritis treatment, especially knee osteoarthritis.Keywords: prolotherapy, knee osteoarthritis, chronic pain Abstrak: Osteoartritis (OA) merupakan pengapuran sendi yang disertai nyeri hebat, disebabkan oleh karena adanya ketidakstabilan sendi yang dipengaruhi oleh rusaknya tulang rawan yang berperan untuk melindungi tulang. Osteoartritis dapat disebabkan oleh berbagai faktor seperti usia, jenis kelamin, genetik, aktivitas maupun olahraga berat. Saat tulang rawan rusak, maka tulang yang tidak dilindungi dapat saling bersinggungan di sendi sehingga sendi hancur dan berujung pada OA. Pengobatan untuk OA terdiri dari beragam pengobatan baik farmakologi, non-farmakologi, non-farmakoterapi, maupun tindakan operasi. Seiring berjalannya perkembangan ilmu pengetahuan dan teknologi, maka muncul berbagai modalitas yang dapat menunjang pengobatan OA, antara lain proloterapi. Proloterapi atau injeksi regeneratif memengaruhi dan memberi dampak penyembuhan secara langsung pada area yang mengalami cedera maupun nyeri melalui kerja sel-sel radang, makrofag, sel-sel imun, dan sitokin sehingga dapat bekerja lebih cepat untuk perbaikan daerah yang cedera. Telah dilaporkan hasil bermakna dalam peng-gunaan proloterapi pada osteoartritis lutut. Simpulan penelitian ini ialah proloterapi merangsang tubuh untuk memperbaiki daerah yang cedera sehingga merupakan solusi terbaik yang dibutuhkan dalam pengobatan OA dewasa ini terutama pada OA lutut.Kata kunci: proloterapi, osteoartritis lutut, nyeri kronik
VoterFraud2020: a Multi-modal Dataset of Election Fraud Claims on Twitter

The wide spread of unfounded election fraud claims surrounding the U.S. 2020 election had resulted in undermining of trust in the election, culminating in violence inside the U.S. capitol. Under these circumstances, it is critical to understand the discussions surrounding these claims on Twitter, a major platform where the claims were disseminated. To this end, we collected and released the VoterFraud2020 dataset, a multi-modal dataset with 7.6M tweets and 25.6M retweets from 2.6M users related to voter fraud claims. To make this data immediately useful for a diverse set of research projects, we further enhance the data with cluster labels computed from the retweet graph, each user's suspension status, and the perceptual hashes of tweeted images. The dataset also includes aggregate data for all external links and YouTube videos that appear in the tweets. Preliminary analyses of the data show that Twitter's user suspension actions mostly affected a specific community of voter fraud claim promoters, and exposes the most common URLs, images and YouTube videos shared in the data.
Estimation Model on Electricity Generation from Solar Energy

The Solar Energy is produced by the Sunlight is a renewable source of energy which is eco- friendly. Every hour enough sunlight energy reaches the earth to meet the world’s energy demand for a whole year. In today’s generation we needed Electricity every hour. This Solar Energy is generated by as per applications like industrial, commercial, and residential. In this article, we have reviewed about the Solar Energy from Sunlight and illustration given to estimate the parameters for solar energy set up.