Reviewerly/exHarmony huggingface dataset:
Spatial Layout Versus List Layout: A Comparative Study

Information retrieval systems support users in finding relevant information in data sets. List layouts are wide-spread, but spatial layouts are catching up. User studies that systematically show their benefits for users are missing. We report on a comparative between-subject study with 43 participants comparing a spatial layout with a list layout. One group performed a task with a system providing semantic visualization, and the other group performed the same task with a system without semantic visualization. The results show that the users of the spatial layout had significantly more interaction with the system in shorter time, with a slightly higher outcome and higher satisfaction.
The EFFECT OF TEA PARTY STRATEGY STRATEGY TOWARDS STUDENTS’ READING COMPREHENSION

The objective of the study was to find out whether tea party strategy gave a significant effect towards students’ reading comprehension at the tenth grade of SMA Negeri 23 Batam in academic year 2019/2020. This research used a quantitative approach. In this research, experimental method was used as the method. The researcher focused on quasi experimental. The population was the students at the tenth grade students that consisted 0f 288 students that selected by using cluster sampling technique. The sample was two classes as experimental and control class. The researcher used quantitative data by giving pre-test and post-test to measure the students’ reading comprehension. The result of this research was the data gotten by giving pre-test and post-test. The result of calculating t-test was tcount < ttable (0.895 < 1.997), it means that Ho was accepted and Ha was rejected. Therefore, there was no significant effect of tea party strategy towards students’ reading comprehension at the tenth grade of SMA Negeri 23 Batam. However, Tea Party strategy could encourage the student more active in the learning process and it could create an enjoyable learning atmosphere. The tea party strategy could increase teamwork between students, could improve the students’ critical thinking, and could improve the students' confidence and students' interest in learning reading comprehension. Therefore, the teacher could carry out the tea party strategy in reading comprehension to improve the students’ reading comprehension.
Applications, Risks and Countermeasures of Artificial Intelligence in Education

The application of artificial intelligence in education has greatly affected school management, teachers' teaching and students' learning, and has an important influence on the mechanism and mechanism of learning process. The concept of artificial intelligence is to simulate human intelligence by machine, thus completing specific roles and tasks, and has the characteristics of convenience, intelligence and interaction. It is mainly applied to computer vision, natural language processing, biometric recognition, speech recognition, human-computer interaction and other technologies in the field of education, which brings space for the development of architecture, medicine and chemistry. However, AI also brings about the risk of decisionmaking mistakes, career substitution, privacy leakage, information cocoon house and data bias. In order to avoid these risks effectively, this paper puts forward solutions from five perspectives: the state, product developers, educational managers, teachers and students, so as to correctly understand the relationship between artificial intelligence and education, explore the application mode of artificial intelligence in the field of education, and ensure the deep integration of artificial intelligence and education.
PROSPECTS OF HYDROGEN USE AS MOTOR FUEL FOR TRANSPORT VEHICLES

It is considered some prospects on the use of hydrogen as fuel for motor vehicles. Institutional, scientific and technological preconditions which facilitate enlarged application of hydrogen fuel are argued. It is briefly described the principal directions of theoretical investigation and also experimental works in this area.
Quantum walk search algorithm for multi-objective searching with iteration auto-controlling on hypercube

Shenvi et al. have proposed a quantum algorithm based on quantum walking called Shenvi–Kempe–Whaley (SKW) algorithm, but this search algorithm can only search one target state and use a specific search target state vector. Therefore, when there are more than two target nodes in the search space, the algorithm has certain limitations. Even though a multi-objective SKW search algorithm was proposed later, when the number of target nodes is more than two, the SKW search algorithm cannot be mapped to the same quotient graph. In addition, the calculation of the optimal target state depends on the number of target states m . In previous studies, quantum computing and testing algorithms were used to solve this problem. But these solutions require more Oracle calls and cannot get a high accuracy rate. Therefore, to solve the above problems, we improve the multi-target quantum walk search algorithm, and construct a controllable quantum walk search algorithm under the condition of unknown number of target states. By dividing the Hilbert space into multiple subspaces, the accuracy of the search algorithm is improved from p c = (1/2) – O (1/ n ) to p c = 1 – O (1/ n ). And by adding detection gate phase, the algorithm can stop when the amplitude of the target state becomes the maximum for the first time, and the algorithm can always maintain the optimal number of iterations, so as to reduce the number of unnecessary iterations in the algorithm process and make the number of iterations reach <?CDATA ${t}_{{\rm{f}}}=(\pi /2)\sqrt{{2}^{n-2}}$?> <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mi>t</mml:mi> <mml:mi mathvariant="normal">f</mml:mi> </mml:msub> <mml:mo>=</mml:mo> <mml:mo stretchy="false">(</mml:mo> <mml:mi>π</mml:mi> <mml:mo>/</mml:mo> <mml:mn>2</mml:mn> <mml:mo stretchy="false">)</mml:mo> <mml:msqrt> <mml:mrow> <mml:msup> <mml:mn>2</mml:mn> <mml:mrow> <mml:mi>n</mml:mi> <mml:mo>−</mml:mo> <mml:mn>2</mml:mn> </mml:mrow> </mml:msup> </mml:mrow> </mml:msqrt> </mml:mrow> </mml:math> .
Artificial Neural Network as a Tool for Appraising Hematological Parameters in Sudanese Patients with Malaria

BACKGROUND The purpose of this paper was to quantitatively assess and explore the effect of malaria infection in the hematological parameters of Sudanese population. METHODS All data were obtained from malaria infected and non-infected Sudanese patients attending to Kosti Teaching Hospital. The effect of malaria on the hematological parameters was depicted. The relationships between hematological parameters with the effect of malaria in the two groups were assessed using Spearman's correlation. The quantitative effects of malaria on the hematological parameters were assessed using SPSS 21.0 software with a neutral network feature. RESULTS There was no correlation between the effect of malaria infection and MCV, PCV, and MCHC (r = 0.055, r = 0.087, and r = 0.067, respectively) among Sudanese population (p > 0.05). An obvious correlation was observed between hemoglobin concentration (Hb Conc.), RBC count, MCH, and ESR and the effect of malaria infection (r = -0.226, r = 0.285, r = 0.286, and r = -0.378, respectively (p < 0.05). The effect of malaria infection on PCV standardized percentage (100%) was much higher than other hematological parameters. CONCLUSIONS Changes in the PCV measurements among Sudanese patients may be associated with the higher effect of malaria infection. Because malaria is caused by a blood parasite, early diagnosis and treatment could contribute to improve the individual health status.
Rule-based interactive assisted reinforcement learning

Reinforcement Learning (RL) has seen increasing interest over the past few years, partially owing to breakthroughs in the digestion and application of external information. The use of external information results in improved learning speeds and solutions to more complex domains. This thesis, a collection of five key contributions, demonstrates that comparable performance gains to existing Interactive Reinforcement Learning methods can be achieved using less data, sourced during operation, and without prior verifcation and validation of the information's integrity. First, this thesis introduces Assisted Reinforcement Learning (ARL), a collective term referring to RL methods that utilise external information to leverage the learning process, and provides a non-exhaustive review of current ARL methods. Second, two advice delivery methods common in ARL, evaluative and informative, are compared through human trials. The comparison highlights how human engagement, accuracy of advice, agent performance, and advice utility differ between the two methods. Third, this thesis introduces simulated users as a methodology for testing and comparing ARL methods. Simulated users enable testing and comparing of ARL systems without costly and time-consuming human trials. While not a replacement for well-designed human trials, simulated users offer a cheap and robust approach to ARL design and comparison. Fourth, the concept of persistence is introduced to Interactive Reinforcement Learning. The retention and reuse of advice maximises utility and can lead to improved performance and reduced human demand. Finally, this thesis presents rule-based interactive RL, an iterative method for providing advice to an agent. Existing interactive RL methods rely on constant human supervision and evaluation, requiring a substantial commitment from the advice-giver. Rule-based advice can be provided proactively and be generalised over the state-space while remaining flexible enough to handle potentially inaccurate or irrelevant information. Ultimately, the thesis contributions are validated empirically and clearly show that rule-based advice signicantly reduces human guidance requirements while improving agent performance.%%%%Doctor of Pholosophy
Phishing Detection Using Artificial Intelligence

The essential target of our endeavor is to do the machine learning technique to detect Phishing and Malicious websites. The end solution or the result of this project will be a software product which will help in detecting the phishing and malicious websites. Phishing is a technique to extract user credentials and sensitive data by the phishers. The phishing website is usually designed in such a way that they mirror the actual legit website, where not so regular users miss to identify whether the website is malicious or phishing blacklisting the known phishing websites or check the attributes in the phishing page whether it contains any malicious codes. This process has poor accuracy and very low adaptability to new phishing links. That is the reason that we have designed this project where we generated an idea to implement machine learning technique by using some classification algorithms and comparing these algorithms with our existing data set. we'll test assessments, for instance, SVT, Decision tree, and Neural relationship on a dataset of phishing joins from the UCI Machine Learning account, and pick the simplest model to support a program module, which may be flowed as a chrome advancement. The phishing is standard technique that duplicates trustful URL and site page links. The major need is to style AI type on a dataset created for phishing avoidance.
Sentiment Analysis of the Fifth District Manufacturing and Service Surveys

This article uses basic text analytic techniques to examine the sentiment embodied in two surveys conducted by the Richmond Fed: the Manufacturing and Service Sector Surveys. Specifically, the article develops several sentiment indicators based on the comments provided by survey participants, contrasts the sentiment measures against responses to other survey questions, and analyzes the monthly evolution of the sentiment indicators during the period 2002-18. Two main conclusions emerge from the analysis. First, the indicators reflect reasonably well changes in economic sentiment along time. Second, negative sentiment has been increasing since approximately August 2017. However, during this same period, the composite DI reported by the Richmond Fed (an indicator that intends to capture the strength of economic conditions in the Fifth District) has been increasing as well.
Need Assessment For Learning App Implementation to Introduction Mobile Application Based on Mobile Learning

The Purpose of the study was to analyse the Need of the Implementation of Mobile application based on mobile learning. Thisstudy used Survey Method, and the research subjects were fitfth (5) semester students of Computer System program of thePembangunan Panca Budi University Medan. In collecting Data, the reaserchers used indirect communication Techniques, byusing questionnaires, and Descriptive analysis was used as the data analysis technique. The result of the study are: (1) out offorty (40) students as respondents, all of them agree with the implementation of learning application based on learning mobile.It is because it can help students to study easily wherever and whenever they are. (2) the obstacle that may occur is thestudents' phone storage capacity is insufficient to run the learning application because of 25% memory has been used.
Pembelarajan Daring Pendidikan Seni Rupa Mahasiswa PGSD Universitas Muhammadiyah Sukabumi di Masa Pandemi Covid-19

Abstract: This research is entitled Online Learning of Fine Arts Education for PGSD Students of Muhammadiyah Sukabumi University during the Covid-19 Pandemic, which aims to describe the learning process of fine arts education for PGSD students at Muhammadiyah University of Sukabumi during the Covid-19 pandemic, and the obstacles faced by PGSD students of Muhammadiyah University of Sukabumi during the learning process during the Covid-19 pandemic. To explore the data, a descriptive analysis method was used with a qualitative approach. The reason for using this method is that it is in accordance with the research objectives which want to describe and describe the process of learning fine arts education during the Covid-19 pandemic and the obstacles faced. The findings of the research show that: the learning process of fine arts education for PGSD Muhammadiyah University students in Sukabumi during the Covid-19 pandemic requires using several applications to achieve learning, As for the applications used, namely the Whatsapp group, and Instagram and the material presented in this online lecture, one of which is the Three-Dimensional Artwork by making works of art in the form of a corona virus, it is hoped that these works of art can become monumental works that can be remembered from one generation to another the next generation, that all people in the world have experienced difficult times during the Covid-19 pandemic. The process of making this work took approximately 4 weeks from 30 May 2020 - 4 June 2020. Then the obstacles faced by PGSD students of Muhammadiyah Sukabumi University during the learning process during the Covid-19 pandemic were very diverse, including internet signal and quota, stable internet signal and availability of quotas are very important because if one or both of them are inadequate, it will certainly interfere with the lecture process.
Exploration of the Production-oriented Approach in English Literature Teaching in Application-oriented Undergraduate Colleges and Universities Based on Network Teaching Platform

Application-oriented undergraduate colleges and universities focus on cultivating application-oriented and technical-skilled talents. They place great emphasis on cultivating students’ practical skills and enhancing students’ employment competitiveness, thus serving regional economy. In such colleges and universities, students also value the learning of skills and can well adapt to use modern network technology. Nowadays, with the activities such as submitting homework, receiving feedback, having discussion and self-learning, the network teaching platform is fully functional and easy to use. Under the opportunity of the development of new liberal arts, how should teachers effectively carry out the teaching of English literature with the help of network teaching platform, both highlighting its role in humanistic education and serving the talent training objectives and school-running characteristics? Based on the network teaching platform, this paper introduces the Production-oriented Approach to the teaching of English literature and explores the theoretical basis for its application from the level of teaching concepts and teaching hypotheses, and a series of teaching plans are made to demonstrate its feasibility.
Klasifikasi Alat Musik Tradisional dengan Metode Machine Learning dengan Librosa dan Tensorflow pada Python

The development of artificial intelligence technology AI (Artificial Intelligence) has been widely applied in various fields of daily life. AI (Artificial Intelligence) is divided into several branches, one of which is Machine Learning. Machine Learning is developed based on statistics, mathematics and data mining so that machines can learn by analyzing data without needing to be reprogrammed. With the development of the music world, not many people and the current generation know about traditional music from their respective regions. Traditional musical instruments produce sound art that has its own characteristics and uniqueness which is passed down from generation to generation. Therefore, to simplify the process of recognizing each musical instrument, a system was created that can classify traditional musical instruments using machine learning. The methods used in this research are librosa and tensorflow, where tensorflow is used for numerical computing and large-scale machine learning projects that have the best performance in classifying. In this study using Python 3.6 as a programming language and using PyCharm as a Integrated Development Environment (IDE). From the results, the system accuracy as expected after being tested several times, namely 91%.
Role of NGOs in Implementation of CSR Activities in India

Purpose: Corporate social responsibility is becoming a necessary component of doing business. India is the first country to establish a minimum wage for CSR initiatives aimed at improving the future. The Indian government has implemented new CSR criteria that require businesses to invest 2% of their net profit in such projects. CSR enables businesses to contribute to the betterment of society, the environment, and nature to achieve this goal. NGO's play an important role because they manage various financial assistance programs and assist businesses in achieving various goals. This study is mainly focused to know the contribution of CSR made the business organization toward inclusive growth and the reasons beyond the implementation on CSR by business organization.Methodology: Business organisations' contributions to inclusive growth through corporate social responsibility are examined in this study, as are the reasons for CSR's adoption by businesses. A case study is used to examine the role of non-profit organisations in the implementation of CSR activities. This study focuses on the role of non-governmental organisations in implementing CSR activities that benefit society by creating a systematic framework.Findings: The paper finds that majority of the organizations are conscious of the concept of Corporate Responsibility, which means most of the organizations they are responsible for society.Practical Implications: This study implies that CSR is based on the profit and need of society. Building strong public-private partnerships and working closely with nongovernmental organizations (NGOs) as implementation partners is accomplished through company’s collaborative methods by organizations and various NGOs at the ground level are needed to develop which is beyond micro-credit to increase women's endowments and improve their trade outcomes vis-a-vis the family markets state and community.Originality/Value: These findings have been made based on available secondary data and have identified the role played by non-governmental organisations in the implementation of CSR activities, as well as how their priorities and focus shifted towards developing society. This paper also outlines the evolution and advancements of CSR activities Paper Type: Conceptual Research.
Design of Video Forensics and Storage Framework Based on Embedded Technology

This article aims to improve the performance of embedded video forensics and storage systems, and on the basis of introducing the status quo of digital video acquisition and video compression, it studies the realization principles of video signal acquisition, forensics, storage systems, and video playback. This design has completed the SPCE3200 processor and its development platform for research and analysis, and designed a new video forensic storage framework. This design has a certain degree of innovation and has certain practical value in the field of video capture and processing.
Automatic Structured Data Extraction from a Webpage

As much of the effort is being put in developing a fully automatic extraction method. To extract structured data from the Web many researchers propose different solutions. In this paper, we propose a method for automatically extracting structured data from a web page known as Extraction of Structured Data (ESD). When a structured webpage is requested from the web server, web server in turn queries for the information from the underlying database and then returns the information to the browser. Our method makes use of both structural and visual features of a web page to extract data records from a webpage because the structured data records are retrieved from some database and presented on web pages using some predetermined template. Also, Website developers present their data in such a way that humans easily and quickly figure out and distinguish each data record.
Electric Gadgets Surveillance and Controlling Systems Based on Internet of Things IoT

Over the last few a long time, brilliant infrastructure growths were noticed in safety-related troubles during the world. So, with multiplied call for for Security, Video-based Surveillance has grown to be an essential location for the research. An Intelligent Video Surveillance system essentially censored the performance, happenings, or converting data normally in terms of humans, cars or every other item from a distance by way of some electronic equipment (normally virtual digital camera). The scopes like prevention, detection, and intervention that have brought about the improvement of real and constant video surveillance structures can shrewd video processing abilities. In wide phrases, superior video-based surveillance could be defined as a shrewd video processing approach designed to help protect personnel by imparting reliable real-time alerts and to support green video evaluation for forensic investigations. This chapter offers the diverse requirements for designing a robust and reliable video surveillance machine. Also, it is mentioned the one-ofa-kind kinds of cameras required in one of a kind environmental conditions together with indoor and out of doors surveillance. Different modeling schemes are required for designing green surveillance machines under numerous illumination conditions.