Reviewerly/exHarmony huggingface dataset:
I Improving Student Learning Outcomes Of Class VIII A At SMP Negeri 5 Kendari (Junior High School) In English Learning Through NHT (Numbered Heads Together)Cooperative Learning Model

The purpose of this study is the NHT (Numbered Head Together) cooperative learning model in English learning can improve student learning outcomes in class VIII-A SMP Negeri 5 Kendari. Classroom action research with the following activity stages: 1) planning, 2) implementing the action, 3) implementing observation and evaluation, and 4) reflection. The results of the research in the two learning cycles are as follows: 1) the observation results of the teacher's ability to manage learning in the second cycle of 12 observation aspects, there are 12 aspects (100%) achieving the criteria of Good (B) and Very Good (SB), there is an increase in the percentage when compared to the results Observations of the teacher's ability to manage learning in the first cycle there were 9 aspects (75%) achieving good (B) and very good (SB) criteria, 2) the results of observing student activeness in learning in the second cycle of 5 observation aspects there were 5 aspects (100%) achieving active (A) and very active (SA) criteria, there is an increase in the percentage when compared to the results of observations of student activeness in learning in the first cycle there are 4 aspects (80%) achieving active criteria (A), and 3) learning outcomes achieved by students showed a very significant increase, where in the second cycle there was an increase in the number of students who got a score of ≥ 70, a total of 27 students (84.4%), The increase in value when compared to the first cycle was 20 students (62.5%) who scored ≥ 70. The NHT (Numbered Head Together) type of cooperative learning model in English subjects can improve learning outcomes for class VIII-A students of SMP Negeri 5 Kendari.
Modeling Areas Exposed to Radioactive Elements Using Landsat Satellite Images Case Study of Shirkuh Yazd

The most important radioactive elements are the solid crust of uranium and thorium. The various isotopes of these elements with a long decay chain and the production of other radioactive elements become stable elements. Shirkooh granite with a melting source has a spread of more than 1,000 square kilometers and includes chronology of the first formations of geology to the present. According to measurements of water, soil and rock radionuclides, Shirkooh granite contains radioactive elements U and Th. In order to investigate the Shirkooh range, Landsat satellite images have been used for the expansion of radioactive elements. Also, 30 specimens with a specific radioactive content have been subjected to spectral sampling by a Philadelphia device and a spectral library has been prepared. In this research, areas with the highest concentration of radioactive elements were determined using spectral angle mapping and supervised classification. The results show that samples with the highest amount of uranium and thorium are located in three regions including west and south of Manshad and southern of Tezerzan.
A Thorough Evaluation of Kernel Order in CNN Based Traffic Signs Recognition

Convolutional Neural Network is an important deep learning architecture for computer vision. Alongside with its variations, it brought image analysis applications to a new performance level. However, despite its undoubted quality, the evaluation of the performance presented in the literature is mostly restricted to accuracy measurements. So, considering the stochastic characteristics of neural networks training and the impact of the architectures configuration, research is still needed to affirm if such architectures reached the optimal configuration for their focused problems. Statistical significance is a powerful tool for a more accurate experimental evaluation of stochastic processes. This paper is dedicated to perform a thorough evaluation of kernel order influence over convolutional neural networks in the context of traffic signs recognition. Experiments for distinct kernels sizes were performed using the most well accepted database, the socalled German Traffic Sign Recognition Benchmark.
Unsupervised Latent Space Translation Network

One task that is often discussed in a computer vision is the mapping of an image from one domain to a corresponding image in another domain known as image-to-image translation. Currently there are several approaches solving this task. In this paper, we present an enhancement of the UNIT framework that aids in removing its main drawbacks. More specifically, we introduce an additional adversarial discriminator on the latent representation used instead of VAE, which enforces the latent space distributions of both domains to be similar. On MNIST and USPS domain adaptation tasks, this approach greatly outperforms competing approaches.
Sign Language Translator Application

Communication plays an important role for human beings and it is treated as a compulsory life skill. Normal people could communicate easily without any problems, however there is a hindrance for normal people to communicate with disabled people such as deaf and mute. This happened because disabled people communicate using sign language but only minority of people learn and understand the sign language. Human translator also might not be there every time to help and it can be quite difficult to understand the sign language. Hence, the communication is not going well. Thus, this project aims to develop a sign language translator application to help the communication between normal people and disabled people going efficiently. This project will be using some features in the OpenCV such as image processing, features extraction and features matching. This project also will use Android Studio for generating the android application. For beginning, this project will develop an application that only translate the 26 alphabets. All the analysis, equipment and methods used, application testing and results has been documented in this article.
Aplikasi Pengelolaan Akademik SMA Negeri 1 Sumedang

The purpose of making this application is to make it easier for students to learn grades and lesson schedules more flexibly. The method of research conducted is by conducting observations, interviews (interviews), and library research. While the system method used is a model prototype method that is structured. The results achieved are based on the design and manufacture that discusses what is needed based on the design that can be met. Then it is poured in the form of a data management application, the running system, and the Diagram are completed. After the structure and table are made as a database, the purpose and the output as the interface. Conclusions that can be drawn from the application made can meet the desired needs, as can be accessed from the schedule and grades of more flexible students.
PEMBELAJARAN BERBASIS MASALAH DARING UNTUK MENINGKATKAN KEMAMPUAN MENYUNTING TEKS

This research aims to know the implementation PBL based on technology on boosting students’ editing competence in University of Muhammadiyah Purwokerto. The advancement of technology made changing in students’ habit rapidly. They rarely reading books or newspaper instead of cellular. Everyone can write if they read a lot of information. When the students can not write, they got difficulty to edit text. That’s why it was important to use technology on editing subject in semester 5 PBSI – UMP. The population was 79 students in two classes by random sampling class A as experiment class. The method used experiment by mixed quantitative and qualitative data. The instruments are questionnaire and test. The calculation showed sig. Levene’s test for Equality of Variances 0.264>0.05 means hypothesis was accepted. So, PBL based technology effectively improved students’ editing competence.
Guides: Teaching with E-resources: Creating Proxy Links

This guide is meant to help faculty with using electronic library resources and integrating them into their course shells (in Blackboard). It covers how to find persistent links, proxy links, and copyright information related teaching.
An Exploratory Analysis on Image captioning using Deep Learning

Captioning an image is a concept of producing a succinct content description for an input image in single sentence considering all the objects in an image in the form of description. It can be done using deep learning architectures with the help of CNN (Convolution Neural Network) and RNN (Recurrent Neural Network). A particular kind of RNN called long short-term memory (LSTM) is used. The image from the dataset is taken as the input and accordingly caption is produced as an output from the given set in the form of text. It has numerous applications in various fields namely Image Indexing, Application Recommendation, Social media etc. It also aids the visually impaired and short sightedness people by automatically decoding the image and describing it in the form of text in a large format.
The Effectiveness Of E-Learning Based On The ÉLISA Application at The Indonesian Police Academy

This study aims to see the effectiveness and application of e-learning based on the ELISA application at the Police Academy. This research uses quantitative methods. This study focuses on the effectiveness of e-learning applications used in the Police Academy based on the input-process-output education management information system. The number of samples in this study was 66 AKPOL cadets. Samples were selected by random sampling. The instrument used is a test. Based on the results of data analysis, 1) the results of the average achievement test for the English language skills of the Police Academy cadets with the one-sample t-test obtained a value of 0.000 1.65 = ztabel which means that the proportion of completeness of AKPOL cadets is in the proportion of more than 80%. Based on the results of data analysis, it shows that the application of e-learning based on the ELISA application effective according to the needs of the Police Academy Cadets.  Keywords- : E-learning, ELISA Application, Police Academy
PEMBELAJARAN LITERASI MELALUI PENDEKATAN SAINTIFIK DALAM MATA PELAJARAN BAHASA INDONESIA DI SEKOLAH DASAR

The school literacy movement was developed based on nine priority agendas (Nawacita) which aimed to grow and develop the ability of reading and writing. Both of these abilities are contained in Indonesian language subjects. Indonesian Language subjects are a means of conveying knowledge. Through learning Indonesian especially reading and writing, students can master other subjects. Student learning success is greatly influenced by their ability to speak. The definition of literacy through the scientific approach in Indonesian language subjects is more directed at information skills. Information ability refers to several activities, namely observing, asking, trying, associating, and communicating. The process of observing includes seeking information, seeing, hearing, and listening. The questioning activity was carried out as one of the processes of building students' knowledge in the form of concepts in group discussions. Trying activities are useful to increase students' curiosity which includes planning, designing, and obtaining information. Associating activities can be done by analyzing and predicting, while communicating activities are a means to convey the results of conceptualization in oral or written form.
Pengaruh Pertumbuhan Ekonomi Terhadap Tingkat Kesejahteraan Masyarakat Kecamatan Selong Kabupaten Lombok Timur – Nusa Tenggara Barat Menggunakan Algoritma Naive Bayes

Sustainable Development Goals (SDGs) is one of the world's programs to overcome several problems that are currently the world's issues. The world's issues that want to be addressed include: eliminating poverty, eliminating hunger, building good health and well-being, providing quality education, enforcing gender equality, improving clean water and sanitation, growing affordable and clean energy, creating decent work and growth. economy, improve industry, innovation and infrastructure, reduce inequality, mobilize sustainable cities and communities, influence responsible consumption and production, regulate climate action, promote life under water, advance life on land, ensure peace, justice and strong institutions , build partnerships to achieve goals. The target of seventeen components that will be completed in the world is planned to be achieved in 2030. All components that become world problems will be used as part of the target in this research. One of the research focuses is the economic component. The data obtained in Selong District, especially the economic component, will be managed and processed using the Naive Bayes algorithm. After processing the data using the Naive Bayes algorithm, the accuracy rate of closeness to the real situation is 93.45%. From the data obtained 93.45% or 0.9345 x the amount of data (kk) = 0.9345 x 1130 kk = 1056 families which shows the community is prosperous and 6.55% x 1130 = 74 families which states that people are not prosperous and can used as a reference in poverty alleviation through programs launched by the government.
A Study on Effect of Club Activity for Elderly with Dementia on College Life Satisfaction, Dementia Knowledge, and Dementia Attitude

The club activities allow students to have various experiences that is not addressed in the regular curriculum, and such activities related to their major affect their learning of major and college life.The purpose of this study was, for their effective club activities, to investigate the effect of club activities related to dementia on the students.The subjects were 26 students who participated in club activities for at least three hours per a week.The pre-and post-test measured their college life satisfaction, dementia knowledge, and dementia attitude and data were analyzed using descriptive statistics and paired sample t-test.The results showed that the scores of college life satisfaction, dementia knowledge, and dementia attitude increased significantly after club activities, indicating that the club activities related to dementia are effective in improving college life satisfaction, dementia knowledge, and dementia attitude.The results, however, should be confirmed in the replicate design study using control group sample.
Multiple Intellegences of Social Sciences and LinguisticsStudents Grade X Crossing Biology Interest: (Multiple Intellegences Peserta Didik Kelas X Peminatan Ilmu Sosial dan Bahasa Lintas Minat Biologi)

Multiple intelligences are the development of intelligence of the brain or intelligencequotient (IQ), emotional intelligence or emotional quotient (EQ), and spiritual intelligenceor Spiritual Quotient (SQ). The intelligence consists of nine levels of intelligence is known asthe Multiple Intelligences (MI) which includes: linguistic intelligence, mathematical-logicalintelligence, visual spatial intelligence, physical-kinesthetic intelligence, musicalintelligence, interpersonal intelligence, intrapersonal intelligence, naturalist intelligence,and existential lntelligence. This theory shows that there is no human activity that uses onlyone intelligence, but uses all intelligence that exists in humans. Intelligence is a single talentthat students use in situations of solving any problem. Every student has a differentintelligence. This is because there are several factors that influence it, namely the hereditaryfactor, interest factor, formation factor, maturity factor, and freedom factor.This researchare descriptive study which aims to reveal the level of MI of social sciences and linguistcsstudent grade X crossing biology interest at SMAN 1V Koto KampungDalam. Results of thestudy, it was faund that the most dominant intelligence in social science students is naturalistintelligence. In the linguistics scienscestudents, the most dominant intelligence is existentialintelligence.
Archer Library: Streaming Media Access: Streaming Media in Quick Find

This Guide provides the various paths towards accessing streaming video and streaming audio/music for U of Regina Library users.
An Efficient Machine Learning Model for Location Aware Credit Fraud and Risk Classification and Detection

Online transaction grows in enormous rate because of the strength of usage by the user.User always use online mode to pay the amount to the respective merchant.Various method of payment is available in the market but credit card is so popular due to the pre credit is assigned to the customer by banker.Card user gets extra time for paying the payment which gives comfortable live to them.Security of the card suffers in various factors such as theft, fraud, illegal access, so it is protected by using modern algorithm with automated capability.Artificial Intelligent algorithms are applied to detect the fraud but that is not achieving enough accuracy.This type of problem is overcome by using location based risk identification model with multidimensional features for analysis.Three phases of processing is carried out namely feature management, risk management and Location awareness.The focus of the model is to protect the credit card frauds in multi level security by identifying the source and location of access.It achieves high level of security when compared to all exiting algorithms with reliable manner.
Association rule hiding using integer linear programming

&lt;span&gt;Privacy preserving data mining has become the focus of attention of government statistical agencies and database security research community who are concerned with preventing privacy disclosure during data mining. Repositories of large datasets include sensitive rules that need to be concealed from unauthorized access. Hence, association rule hiding emerged as one of the powerful techniques for hiding sensitive knowledge that exists in data before it is published. In this paper, we present a constraint-based optimization approach for hiding a set of sensitive association rules, using a well-structured integer linear program formulation. The proposed approach reduces the database sanitization problem to an instance of the integer linear programming problem. The solution of the integer linear program determines the transactions that need to be sanitized in order to conceal the sensitive rules while minimizing the impact of sanitization on the non-sensitive rules. We also present a heuristic sanitization algorithm that performs hiding by reducing the support or the confidence of the sensitive rules. The results of the experimental evaluation of the proposed approach on real-life datasets indicate the promising performance of the approach in terms of side effects on the original database.&lt;/span&gt;
LibGuides: Alcorn Digital Learning Lab: Video Guides

Welcome to the website for the Alcorn Digital Learning Lab housed in the Corriher Linn Black Library at Catawba College.
Development of senior school students’ independent work skills through the use of virtual learning environment

The article is focused on the concept of «virtual learning environment» and its role in the students’ independ-ent work. The virtual learning environment as a means of effective communication of participants in the edu-cational process helps to transit from the «knowledge-based» paradigm to the «personality-oriented» educa-tion, aimed to develop students’ creative potential, their cognitive activity, motivation and engagement at the language classes. The authors highlight that in addition to traditional didactic requirements, there are a num-ber of specific conditions for the successful functioning in the virtual learning environment. Based on the ex-perience of implementing virtual educational environments, a need for the adaptability of educational process, which implies the possibility for students to choose the most appropriate individual pace for studying materi-al. It is shown that specific content of the virtual learning environment may vary depending on the level of training students and their individual interests. The main requirement for the successful use of the virtual en-vironment is to develop creative cognitive abilities, foreign languages skills of students by the application of a virtual environment., so the authors come to the conclusion that the presence of informational technology in the learning process changes the internal specifics of the educational and cognitive activities of students, their thinking style, and psychological mechanisms of mental development. Thus, the independent work of stu-dents is multi-purpose and is aimed to achieve communicative and educational goals.
Driver Gaze Estimation in the Real World: Overcoming the Eyeglass Challenge.

A driver's gaze is critical for determining the driver's attention level, state, situational awareness, and readiness to take over control from partially and fully automated vehicles. Tracking both the head and eyes (pupils) can provide a reliable estimation of a driver's gaze using face images under ideal conditions. However, the vehicular environment introduces a variety of challenges that are usually unaccounted for - harsh illumination, nighttime conditions, and reflective/dark eyeglasses. Unfortunately, relying on head pose alone under such conditions can prove to be unreliable owing to significant eye movements. In this study, we offer solutions to address these problems encountered in the real world. To solve issues with lighting, we demonstrate that using an infrared camera with suitable equalization and normalization usually suffices. To handle eyeglasses and their corresponding artifacts, we adopt the idea of image-to-image translation using generative adversarial networks (GANs) to pre-process images prior to gaze estimation. To this end, we propose the Gaze Preserving CycleGAN (GPCycleGAN). This network preserves the driver's gaze while removing potential eyeglasses from infrared face images. Our approach exhibits improved performance and robustness on challenging real-world data spanning 13 subjects and a variety of driving conditions.
PENERAPAN NATURAL LANGUAGE PROCESSING DALAM APLIKASI CHATBOT SEBAGAI MEDIA PENCARIAN INFORMASI DENGAN MENGGUNAKAN REACT (STUDI KASUS: INSTITUT BISNIS DAN INFORMATIKA KWIK KIAN GIE)

Techonological development in today have helped in field of education in terms of delivering informations.Delivery of information or the dissemination of information at this time has begun to apply computertechnology as a tool for help, but not yet supported by interactive information searching media.Using naturallanguage processing for extracting keywords from a sentence can be applied with Application ProgrammingInterface from Dialogflow and will be applied in form of a chatbot and will be built using React framework.This research will be conducted with Waterfall method, data gathering done by observation, interview, surveyand information from related parties. The chatbot or system design will be built with UML design. Chatbotapplication has successfully met the standards with the success rate of 80%. This chatbot aims to provideconvenience for students in obtaining information about academic activities.Keywords: Natural Language Processing, Chatbot, Dialogflow, React, Application Programming Interface.