Reviewerly/exHarmony huggingface dataset:
Traffic sign recognition and classification using CNN

We investigate the present status of traffic sign classification and recognition talking about what makes it a particular issue of visual item characterization. With noteworthy cutting-edge results, it is not difficult to fail to remember that the area stretches out past explained datasets and ignore the issues that should be looked at before we can begin preparing classifiers. We talk about such issues, give an outline of past work done, go over openly accessible datasets, and present another one. Following that, arrangement tests are directed utilizing a solitary CNN model, further than utilized beforehand and prepared with dropout and softmax. We apply it over different datasets from Germany and Belgium, their convergences and association, beating people, and other single CNN designs for traffic sign characterization.
Computer vision for detecting and tracking players in basketball videos

The use of Computer Vision in the sports industry is a very new, yet rapidly growing field. One very prevalent application of computer vision algorithms is to gather sports analytics to improve a team's performance. As a team sport, basketball relies heavily on strategy. For this reason coaches need to gather and analyse information and statistics on both their own team and their opponents. This process can be both long and challenging when executed manually. This thesis work takes part inside a larger project carried out by ESTECO SpA, which aims to aid the coaches in analysing the games through the use of different technologies. In particular, the purpose of this thesis is to design an algorithm that is able to automatically detect and track the players and the basketball court in broadcast videos. This is achieved through the use of Computer Vision and Deep Learning. After a comprehensive research regarding the state of the art in sports players tracking, a new algorithm was developed following the tracking-by-detection paradigm. Firstly, an exploration of the best Convolutional Neural Networks for object and pedestrian detection was carried out, along with a study on the standard evaluation metrics. Following a fair comparison of these CNNs on the same basketball dataset, a Cascade Mask RCNN, pre-trained on the pedestrian detection dataset Caltech, was chosen as the base detector for the project. Secondly, a new algorithm was built that is able to robustly track the basketball field from a video frame to the next. It requires a semi-automatic approach and relies on a combination of many simple computer vision algorithms. The court detection is used to refine the detections, and to create a homography of the basketball court, useful to project the players' positions onto a 2-dimensional model. Lastly, a research on Multiple Object Tracking was conducted, and some promising algorithms were applied to the previously found detections, obtaining discreet results that will be further improved on in the future.
Focus on Research in Contemporary Economics (FORCE)

Focus on Research in Contemporary Economics (FORCE) is dedicated to create a well-established venue for high quality research in contemporary Economics. Its content mirrors widespread scholarly approaches and interests within the dimensions of Economics, Finance, Accounting, Banking, Business Administration, Marketing, Management, and other related areas in Social Sciences. FORCE publishes original and innovative research papers intertwined with the field of Economics, which interested in both theoretical and applied research with great emphasis on topics in corporate. While the emphasis is on Economics, FORCE is a multi-disciplinary journal in which research in Social Sciences are also welcomed. FORCE accepts manuscripts written only in English. The editor(s) seek manuscripts that: * develop theoretical, conceptual, or methodological approaches to contemporary Economics,* present results of empirical research that advance the understanding of Economics, Finance, Banking, Accounting, Business Administration, and Management,* explore innovative and futuristic policies that describe and evaluate strategies for future actions in the field of Economics,* analyze and discuss issues, and present current research in related fields of Social Sciences.The manuscripts are submitted online by free format. Topics of central importance to both modern theoretical research and present economic reality are given importance for publication process. The topics of research include but are not limited to:* General Economics,* Microeconomics,* Macroeconomics,* International Economics,* Financial Economics,* Public Economics,* Labor and demographic Economics,* Law and Economics,* Business administration and business Economics,* Personnel Economics,* Economic systems, development, innovation , technological change and growth, * Agricultural and natural resource Economics,* Urban, rural, regional, real estate and transportation Economics,* Other related topics.
Information Portals and There Use in Village Development

Since we live in the Information Age Information technology has become a part of our everyday life and we can say that the technology involves the development maintenance, use computers, mobiles, smartphones and software for the processing and distribution of the Different kind of information to the farmers called Information technology. For example-Information Portal can help farmers in rural areas to know about new tradition and technologies of farming that helps in better production as compare to farming without new technical information and thus they earn more money from their product. Information portals can play a crucial role in preventing imbalances caused due to wrong and inappropriate information's. It can create awareness and equip both farmers and scientists to work together to generate technology appropriate to the local situation. The present study deals with the introduction and importance of Information Technology and their Portals in the context of village development. Both primary and secondary data was taken for this study. Result revealed that farmers were aware about various IT portals especially to the mkisan portal and they get almost every type of information from this portal.
Cyber Shield Security Awareness Program

Information is a critical asset in any organization to achieve its strategic goals. For this, organizations enforce physical, logical, and administrative controls to protect their information from being corrupted, manipulated, or leaked. However, some organizations are unaware that some employees, with little awareness of cybersecurity threats, are an easy target for attackers. Nowadays, companies implement security awareness using policies, procedures, and training sessions, to list a few. Traditional information security training sessions have relied heavily on presentation slides and videos. This paper aims to improve the employees' security awareness by developing an interactive video game, Cyber Shield Game, which includes various embedded threat scenarios. The proposed game consists of two levels. The Password Complexity Level trains players about password threats. The Physical Security Level aware the employees about storage and disposal of confidential documents. Further, two surveys, pre and post-game, are conducted to estimate the players' knowledge and experience level in cybersecurity threats. The proposed security awareness program is applied to ten employees randomly chosen from different institutions. Experimental results indicate that a security awareness program is more interactive than traditional awareness methods. Results also indicate that the proposed program improves the employees' security awareness level by 51%.
STUDI KELAIKAN PEMANFAATAN PLASTIK TYPE 5 DAN TIPE 6 SEBAGAI MATERIAL LAMBUNG KAPAL

Plastic waste is a problem that has emerged in the world, the government has made many efforts to reduce the amount of plastic waste, such as reducing the use of single-use plastics in everyday life. Type 5 and type 6 plastic waste is quite widely used, especially for food and beverage packaging. To reduce the amount of plastic waste type 5 and type 6, a composite material was made using the Hand lay-up method for alternative shipbuilding materials. Tensile and bending testers were also carried out for the composite materials used. The manufacture of this composite material uses Yukalac 157 resin as a binder polymer from plastic filaments, so that it will add strength to the plastic composite. Based on the test results, it was found that the tensile strength of type 5 plastic composites got the greatest stress value, namely 3.62 Mpa with the 3rd arrangement composition while for type 6 got the greatest stress value, namely 12.17 Mpa with the 3rd arrangement composition. The tensile strength also obtained the strength value of type 5 plastic composites, the greatest bending stress value was 11.47 Mpa with the 3rd arrangement composition, while for type 6 the greatest stress value was 24.93 Mpa with the 3rd arrangement composition. In this study, the tensile and flexural strength of the platinum composite types 5 and 6 have not exceeded the tensile and flexural strength of fiberglass of 100 Mpa for the tensile test and 150 Mpa for the bending test.
Prediction of Cardiac Disease Based on Patient’s Symptoms

The detection of comparative sign of likely side effects and symptoms which may additionally rapid identification of cardiovascular diseases utilizing data gathered from past patients just as input data taken from client at that specific time. Recent condition of healthcare system data scrutiny for observation are not, at this point fundamentally a period building arrangement of daily counts. All things considered, a profusion of proposed longitudinal just as temporal demographic, symptom data are accessible at  data introduced during the time of execution. Our proposed method contains all data  that is being exploited as classification approach that analyses recent health-care data against data from that specific base distributed and hence classifies subclasses the given data. Likewise, test data utilized is tried against  different kinds of classification , other propose test scores have been of prediction.
The Security Challenges with The Widespread Use of IT Infrastructure in ICS

The communication established by Ethernet is becoming more and more common in the industrial control systems (ICS), and it brings not only pros but also cons like vulnerabilities from information technology.We generalized a procedure of attacking an Ethernet-enabled ICS and implemented it to the real industrial system we obtained.The procedure gets the information and access of the devices in the ICS, like identifying the manufacturer of programmable logic controllers (PLCs) and overwriting the configuration of PLCs.
An Analysis and Classification of Vulnerabilities in Web-Based Application Development

Nowadays, web vulnerability is a critical issue in web applications. Web developers develop web applications, but sometimes they are not very well-versed with security concerns, thereby creating loopholes for the vulnerabilities. If a web application is developed without considering security, it is harmful for the client and the company. Different types of vulnerabilities encounter during the web application development process. Therefore, vulnerability identification is a crucial and critical task from a web application development perspective. It is vigorous to secure them from the earliest development life cycle process. In this paper, we have analyzed and classified vulnerabilities related to web application security during the development phases. Here, the concern is to identify a weakness, countermeasure, confidentiality impact, access complexity, and severity level, which affect the web application security.
An Analysis Of Inquiry Based Learning Strategy To Improve Students’ Achievement On Simple Past Tense At Eighth Grade Students Of Mts Hifzil Qur’an Medan In Academic Year 2019/2020

Learning tense is a difficult lesson for students because it is confusing forthem, they have to consider time changing and verb form, the researcher chosesimple past tense because this tense is quite basic in tenses. This researchdiscussed the difficulties faced by eighth grade students in the class in learningsimple past tense, this research was conducted at MTs Hifzhil Qur‟an Medan. Themethod of study was qualitative descriptive. The subject of study researcher choseVIII-6 students of eighth grade students at MTs Hifzhil Qur‟an. This research wasfocus on students achievement on activeness improved and understanding simplepast tense by using inquiry based learning strategy, and the data gathered throughtthe recapitulation table‟s instrument. Based on the result of the recapitulation tableshows that the researcher found: the students‟ activeness accumulation was 70%advanced, and the second was reached 22% of intermediate and the last reached8% still low. And from their understanding was understanding reached 57%advanced, the second was reached 35% of intermediate and the last reached 8%still low. After applying this learning strategy. students have achievedimprovements. In other words, This learning strategy worked on them. Inquiry -based learning is suitable to be applied in the class and make students as studentcentered, and demand them to learn independently.
Development of Electronic Document Management System as an Economical, Practical and Dynamic System at SMKN 14 Jakarta

Most forms of documents in schools are in the form of physical documents, such as paper and various other physical forms. Physical documents will use a room that is quite spacious as a place to store it. This problem obstructs school performance and causes a decrease in the effectiveness and efficiency of the school. Related this problem, an alternative is needed in its settlement. Electronic document development is one of the technology-based, economical and practical archive management systems to support archiving activities in a school. This study uses research and development methods of Borg and Gall's research strategy. The purpose of this research is to implement and develop an electronic document management system as an economic system in SMKN 14 Jakarta. The results of this study indicate that the implementation at SMK 14 Jakarta shows positive results in improving document management. Digital document systems are integrated successfully within the organization and must be fostered by implementing a new culture that leads to electronic organizations (E-Organization).
LibGuides: School Readiness Skills and Picture Books: Additional Skills

This guide identifies some of the most important skills for children to master before entering Kindergarten. Under each skill, you will find a list of picture books to help with your child's learning.
MODELING OF THE METHODOLOGY OF FORMING RESEARCH COMPETENCE OF STUDENTS IN LABORATORY WORKSHOPS IN BIOLOGY

The formation of the research competence of students in higher education should be purposeful and systematic, since research competence becomes an integral component of the general and professional training of a future specialistwithin the framework of the competency-based approach.The article is devoted to the problem of developing and introducing into the educational process a structurally meaningful model of formation of research competence in students at laboratory workshops in biology. The meaning of the concept“model” is revealed, which is considered as a standard, representing a guideline in the systematization of informationregarding the process under study and reflects the course of the process of forming research competence among students. The developed model of the methodology for the formation of the research competence of biology students combines a combination of a set of target, content, proceduraland evaluatively- effective components and reflects the system-forming connections between them.
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces

Negative sampling schemes enable efficient training given a large number of classes, by offering a means to approximate a computationally expensive loss function that takes all labels into account. In this paper, we present a new connection between these schemes and loss modification techniques for countering label imbalance. We show that different negative sampling schemes implicitly trade-off performance on dominant versus rare labels. Further, we provide a unified means to explicitly tackle both sampling bias, arising from working with a subset of all labels, and labeling bias, which is inherent to the data due to label imbalance. We empirically verify our findings on long-tail classification and retrieval benchmarks.
A Novel Approach for Finding Invasive Ductal Carcinoma Using Machine Learning

Breast malignancy (invasive ductal carcinoma) is the commonest form of cancer found in women, and the fatality rate is high among them. Invasive ductal carcinoma diagnosis is a difficult task because it involves a doctor who scans the major diseases of the malignant region to ultimately identify high-risk areas. For quick detection of breast malignancy, there is a high scope of research in automated diagnostic system. Machine learning is an emerging field of science in data science that deals with how machines learn from experiences that eliminates human efforts and come up with advanced machines with minimal errors. Using the convolutional neural network approach, the traditional methods of injury recovery are performed. A neural network is a sequence of program codes that attempt to detect correlation in a group of data through a process that copies the functioning of the human brain. It can adapt flexible inputs which produced the best results without resetting the output conditions. The convolutional neural network trained large tissue areas from WSI to learn a categorized representation. Patients have diagnosed with IDC were selected to evaluate the WSI dataset. 80% patches were chosen for training, and 20% patches selected for autonomous testing. Slides are given to CNN for training models for the final prediction of malignancy.
Design of a future drum kit

As one of the most popular musical instruments, drum kits' design has not changed a lot since it first emerged. However, the product contains some problems which significantly affect user experience. Not to improve the design, this project aims to dig deeper into the world of drum kit and drummers to identify their emotional values and related functional needs, hence to find new design possibilities for this classic musical instrument. Trend research, user research, and market research were conducted. The result was finalized into the fundamental emotion and related functional needs. The design vision was established, and the design was completed. The final design – Collector, is a conceptual drum kit with a new design language, which allows drummers to create their own sound library and is flexible to use in different scenarios. The design was evaluated with real drummers and was proved to be both practical and attractive. The concept shows enormous potential to be further developed into a commercial product.
LibGuides: Library Orientation: Pressreader

The purpose of this guide is to introduce you to services and resources available at your Library.
PERSUASIVE STRATEGIES USED BY DR. ZAKIR NAIK IN HIS SPEECH IN OXFORD UNION WITH THEME “ISLAM AND THE 21ST CENTURY”

This research aimed to describe about Persuasive Strategies Used by Dr. Zakir Naik in his Speech in Oxford Union with Theme Islam and the 21st Century. The background of this research is the speech that uttetrances by Dr. Zakir Naik are very give influence toward the audiences. The purpose of this study was (1) would like to find out types of persuasive strategies used by Dr. Zakir Naik in Oxford Union with theme Islam and 21st Century (2) would like to find out the ways of persuasive strategies are apply in the speech that used by Dr. Zakir Naik in Oxford Union with theme Islam and 21st century. This research used the theory of Gorys Keraf to find out types of persuasive strategies and used the theory of Aristotles to analysed the ways of apply persuasive strategies in the speech. This research used descriptive qualitative method to analyze the data. The object of this research is Dr. Zakir Naik speech in Oxford Union with theme Islam and 21st Century. The result of this research, there are types of persuasive strategies that found in Dr. Zakir Naik speech in Oxford Union with theme Islam and 21st century, there are 10 data indicated as rationalization strategy, 2 data indicated as identification, 8 data indicated as suggestion,4 data indicated as conformity, 1 indicated as compensation, 16 indicated as projection and 15 indicated as displacement. Then, also found the ways of persuasive strategies are apply in Dr. Zakir Naik speech in Oxford Union, there are 4 include as appeal to emotion, 9 include as showing evidence, 7 include as personal character of the speaker.
ANALISIS KEPRIBADIAN TOKOH UTAMA DALAM NOVEL GENDUK KARYA SUNDARI MARDJUKI (KAJIAN PSIKOLOGI SASTRA)

This research was conducted with the aim of describing the main character's personality in the novel "Genduk" by Sundari Mardjuki (Literature Psychology Study) by using Abraham Maslow's perspective. The data in this study are derived from the novel Genduk by Sundari Mardjuki, Cetakan November 2017, the publisher of PT Gramedia Pustaka Utama, with a total of 232 pages. Data is collected by library method, see, record, and documentation. The findings of the study show that all the needs theory proposed by Abraham Maslow has been obtained by the main character. The five needs raised include physiological needs or basic needs, the need for security, needs to be owned and loved, the need for self-esteem, and the need for self-actualization. The results showed that the fulfillment of these five needs in the main character found a good personality development from the main characters, including sociability, compassion, helping, not being easily offended, never giving up in achieving desires, and wise in responding to conflicts or problems.
THE EFFECT OF MULTIPASS STRATEGY IN TEACHING READING ON STUDENTS’ READING COMPREHENSION (A LIBRARY RESEARCH)

Keywords: Multipass strategy, reading comprehension This research aims to look at the effect of the Multipass strategy in teaching reading on students’ reading comprehension (A Library Research). The Multipass strategy and reading comprehension function as the independent variable and dependent variable consecutively. The Multipass strategy is a teaching strategy that aims to increase students' reading ability by using three main procedures; survey-pass, size-up pass, and sort-out pass. The researcher focuses on the lack of students' reading comprehension and aims to find out the effectiveness of the Multipass strategy to improve students' reading comprehension skills. The method of this study is library research and the data attached in this research are obtained from the previous works of the other researchers and some literature sources include journals, books, articles, and internet websites. The data analysis technique includes the process of data identification from relevant literature sources, determining where the data are located, obtaining the data, evaluating the data, and incorporating data into the research presentation. The results of this study show that the students reading comprehension skills were improved after they were given the treatment of the Multipass strategy using ten teaching instructions and the three Multipass main procedures (survey-pass, size-up pass, and sort-out pass). The results were proven by the students' test scores and validity tests. To sum up, the Multipass strategy is considered as the teaching strategy to improve students' reading comprehension skills.