Reviewerly/exHarmony huggingface dataset:
Students’ Perception on the Use Schoology Web Application as Online Mid-Test Platform at Department of English Education of Universitas Muhammadiyah Surakarta

This study aims to describe students’ perceptions and the difficulties based onstudents’ perception on the use Schoology web application as an online mid-testplatform at the Department of English Education of Universitas MuhammadiyahSurakarta. This research is descriptive qualitative. The researcher interviews to obtaindata. Interviews are used as data collection techniques to find problems that must beresearched. The subject of this research is students of the Department of EnglishEducation. The object of this research is the transcript of the interviewed students ofthe Department of English Education. To analyze the data, the researcher used aphenomenological approach. The results: Students can submitted the result of midtest in file or video form, Students can save time and economic costs, Internetconnection not always working well, Students cheating cause loss of concentrationwhile doing the mid-test.
Study and Analysis of Facial Landmark Detection Techniques

Facial landmark detection and position of individual point on face is an essential procedure for various successive face operations that has scope from biometric recognition to the awareness of psychological states. Facial landmark is to be identified point by point such as eyes, nose, mouth, eyebrows on the face. Facial landmark is a collection of characteristics that can be differentiated in the person face with the open eye. It can be utilized to regulate either person beings present in the image or not, recognize who the human is or identify the location of a face when accurate. The motive of this study is to provide a summary of landmarking techniques and their improvement across the past years, classifies them and exhibit comparative performance of the landmark techniques. Techniques for identifying facial feature points can be categorized into two types. First type is depending on conventional image processing methods. Another type is depending on machine learning technique where feature points is recognized through training facial features. The correctness of facial feature point localization is associated with various emotions and is influenced by the outcome of face detection. Various applications use face position or posture detection in upcoming research area. This study utilizes various methods which differentiates real world set of facial feature points. We study the primary movements and specify present limitation with the assumption that. This study will give additional motivation for the frequently required high-performance and actual face landmarking worked at database images.
REAL TIME IMAGE STEGANOGRAPHY USING DNA TECHNIQUE

The development of a new image encryption algorithm using real structures of deoxyribonucleic acid (DNA) molecules is considered. In the proposed algorithm, the encryption process is performed by confusing and rearranging the pixels of the image based on the coordinates of the chaotic points obtained by the chaos game of DNA symbols, the sequence of DNA symbols, and the encoding rule. The selection of a specific DNA sequence from the databank and the determination of the encoding rule for DNA symbols are based on the secret key. Security plays a vital role in our communication system through internet. Using encryption method, the plain text is converted to cipher text using our proposed secret key and similarly using inverse key we can decrypt the original text. In this algorithm, we read a string, then extract each of the single characters from the string and convert these characters to ASCII equivalent value. Apply proposed secret key, along with ASCII value and appropriate encryption algorithm we encrypt the text. Similarly, using the inverse key along with appropriate decryption algorithm we can decrypt the original text.
Pendampingan Dan Pelatihan Baca Tulis Pegon Untuk Memudahkan Anak Memaknai Kitab Di Madrasah Diniyah Sabilal Muhtadin Di Ds. Pulorejo Kec. Ngoro Kab. Jombang

Arabic pegon, which is an Arabic writing, script or letter without symbols or punctuation or sound. In the Javanese-Indonesian dictionary, means unusual to pronounce. Another word for pegon is gundhil which means bald or plain. In addition, Islamic boarding schools also have a curriculum where most of the learning uses the yellow book, bald and without harakat, so it takes a long time and serious effort to really understand it. There are many sciences that must be passed, starting from writing, reading and even translating it. Therefore, many scholars have made scientific contributions to come up with easy methods so that students can use them well. One of them is the publication of a small and simple book, namely the Pegon Book, a small book that provides instructions and guidance on writing Arabic letters in Javanese (pegon) in a method that is easily understood by students. In this case, the author provides mentoring and training in reading and writing pegons to make it easier for children to interpret the book for the children of Pulorejo Village, whose children do not understand very well about writing pegon. Mentoring and training in reading and writing is very helpful for children in reading books and interpreting books in higher grades. In this mentoring and training process, the enthusiasm of children and the community is needed to make the activity a success.
Three Dimension (3D) Animation Video Development On Dental Care For Children

This study aims to develop 3D animated videos about dental care for children. This 3D animated video will give a proper understanding and consciousness toward children ages of five and six of brushing teeth to prevent infection that can increase the risk of infection or other illnesses. What is the right course of action that they need to take to prevent the infection. It uses Waterfall development model in process of designing and developing 3D animated. The model consists of six phases which are planning phase, analysis phase, design phase, development phase, implementation and testing phase and the last phase is maintenance phase. In this study, there were five (5) specialists consisting of two (2) dental professionals, two (2) lecturers with experience and expertise in creative multimedia and one (1) three-dimensional (3D) animation field. The instrument use for the research is the questionnaire and the research method use is survey method. The analyzed data found that the experts agreed on the content and interface of 3D animation of dental care for children. This 3D animated video can increase children's interest because of the realistic shape of the 2D animations on television. This 3D animated video helps the child learn about dental care and to provide awareness for this dental care. This 3D animated video also give a positive effect on communicating information more effectively and easily
As tecnologias para as bibliotecas universitárias

Call or write your US representative and senator about this issue.If you're a little nervous about making a call, I can assure you it's easy.I recently called my Republican representative, and a staffer answered to take my message that rural libraries in our district-the very communities the representative pledges he supports-use these funds for tech programming for kids, databases for small businesses, and internet access where broadband doesn't reach.The staffer asked for my address and followed up with a letter a week later that said the budget was just a first draft and that Congress alone has the constitutional authority to write and adopt a budget.And now I've
Exploiting Sentence-Level Representations for Passage Ranking

Recently, pre-trained contextual models, such as BERT, have shown to perform well in language related tasks. We revisit the design decisions that govern the applicability of these models for the passage re-ranking task in open-domain question answering. We find that common approaches in the literature rely on fine-tuning a pre-trained BERT model and using a single, global representation of the input, discarding useful fine-grained relevance signals in token- or sentence-level representations. We argue that these discarded tokens hold useful information that can be leveraged. In this paper, we explicitly model the sentence-level representations by using Dynamic Memory Networks (DMNs) and conduct empirical evaluation to show improvements in passage re-ranking over fine-tuned vanilla BERT models by memory-enhanced explicit sentence modelling on a diverse set of open-domain QA datasets. We further show that freezing the BERT model and only training the DMN layer still comes close to the original performance, while improving training efficiency drastically. This indicates that the usual fine-tuning step mostly helps to aggregate the inherent information in a single output token, as opposed to adapting the whole model to the new task, and only achieves rather small gains.
LibGuides: ASL for Beginners: Free ASL Courses

A resource tool for those interested in learning ASL who have no experience with the language.
Design and development of self-driving robot for goods delivery system

Artificial Intelligence has played a major role in the technology field. One of the wonderful creations in this field is designing an autonomous delivery robot. For delivering goods, the delivery person leaves the ordered delivery at footstep by risking the security of the parcel. In this highlyunpredictable world, being driverless and maintaining a safe and secure delivery is a science fiction. Our primary objective is to design a four-wheeled ground drone which has ability to drive from one location to another inside the campus moving with respect to various grid lines,such asstraight tracks, left-curved tracks, curved tracks post the straight tracks and right-curved tracks. We make use of computer vison to detect the obstacles in the path of the robot. Also, convolution neural network is used to find the optimal path for avoiding collisions with obstacles in a safe and reliable manner and navigating the robot from the starting location to destination. Our second objective is to transport goods which will be protected with a password protected locking system, from one point to another point within campus.
Requisitos de repositórios confiáveis para a guarda permanente de documentos arquivísticos digitais

It seeks to identify and point out the requirements necessary for a digitalrepository to be considered a trusted environment, and then be considered areliable digital repository. It presents the intrinsic and extrinsic characteristics ofarchival documents, which are digital documents as well as the problems relatedto them and their characteristics. It makes a survey of the responsibilities to becarried out in the form of activities that must be performed so that the repositorycan proceed with reliability and ensuring the preservation of the documents in itsresponsibility.
МОДУЛЬ ГЕОИНФОРМАЦИОННОЙ СИСТЕМЫ АНАЛИЗА ГЕОХИМИЧЕСКИХ ПОЛЕЙ НА ОСНОВЕ МАТЕМАТИЧЕСКОГО МОДЕЛИРОВАНИЯ И ЦИФРОВЫХ МЕТОДОВ ПРОГНОЗИРОВАНИЯ

This paper describes the software module of the geographic information system, developed in the framework of research on methods for intelligent detection of anomalies for deep exploration of deposits. The module is based on the use of a mathematical model for determining the distribution field of a chemical element at a given depth given by the Fredholm integral equation with a Poisson kernel. The software module contains the implementation of algorithms for solving the indicated inverse problem for predictive calculations of the concentration of chemical elements based on measurement data on the day surface, as well as a number of auxiliary capabilities. The algorithm is implemented using the M. Lavrentiev regularization method and the Landweber iteration method. The results of predictive calculations are displayed on the map of the QGIS geoinformation system. The paper describes the structure of the software module and the process of its development, as well as the algorithm of QGIS user actions for interacting with the functions of the module. Implemented module is able to import the initial data obtained as a result of field and laboratory research into the database automatically. The geographic information system database contains data on 29 chemical elements at 3920 points of material sampling in the Novo-Khairuzovsky area of southern Altai, located on the territory of Kazakhstan. The approbation of the mathematical model was carried out by comparing the calculated data with empirical data for gold. On the basis of the comparative analysis, it was concluded that the mathematical model makes it possible to recover the distribution field of chemical elements at a given depth of occurrence with an acceptable accuracy.
Criteria of subjectivity of master’s students instructional technology and education degree program

The source of the prospects for the development of an independent state is the education of younger generation. The globalizing world requires particular attention and responsibility in nurture the young generation. That is why the secularism of the education system is a blessing and a necessity. This article discusses the achievements and new challenges in the field of education over the years of independence of the Republic of Kazakhstan.The article presents questions of the criteria and indicators for identifying and studying the subjectivity of future masters. The article analyzes the diversity and multifunctionality of the phenomenon of subjectivity in the context of an interdisciplinary approach. The strategic and practical directions for the development of the student's subjectivity in the educational process of the university are characterized on the basis of highlighting plans for the social and professional life of a future specialist in an education situation.&#x0D; &#x0D; Keywords: subject, subjectivity, subject-oriented approach, Master’s degree program, Master’s degree student, criteria, indicators;
Digital Literacy among Elected Barangay Officials as an Input to a Community Extension Program

The study determined the digital literacy among elected barangay officials in Agno, Pangasinan as an input to a competency development. A complete enumeration technique was used due to the small size of the population. A total of 56 elected barangay officials comprised the study respondents. The findings revealed that some barangay officials have access to personal computers and digital gadgets at home and in the office using their own mobile data and office internet connectivity. However, the study also observed that some barangay officials have attended training seminars, workshops and tutorials sessions related to basic computer program skills that will generally enhance their knowledge about the fundamental functions and usage of computers at present. This could be a big help to the barangay officials for them to improve their role in service delivery and public administration and effectively and efficiently accomplish their assigned tasks. It calls for better public service through improved efficiency and effectiveness, promotion of transparency, and increased responsiveness. With the support from the Local Government Unit (LGU), it was found that most of the respondents are still on the intermediate level in terms of digital literacy. As limitations towards the usage of digital gadgets and equipment, the study respondents still experienced limitations such as there is fear in using computer and digital gadgets along with not enough supply of electricity. Consequently, it was found that there were no significant differences in terms of abilities and limitations among the male and female barangay officials towards the usage of digital gadgets and equipment. It can be concluded that study respondents are able to use computers at home and in the office using different mode of internet connectivity to access information they need due to the convenience and availability of resources. The study respondents were competent enough to handle their job well however, they listed that “personal knowledge or experience is still insufficient to use digital gadgets and equipment” and “accessing the internet connectivity is costly” may hamper their usage of digital gadgets and equipment. Research implications were also offered.
Human Motion Detection and Recognition from Video Surveillance Based on Machine Learning Approaches

Detecting human and human motion through a video surveillance system is an important task. It helps in various fields, like crowd analysis, identifying abnormalities in human behavior in public places and identifying a person and their gender. To detect a human and its motion in a video, the first step is to detect the moving object correctly. Background subtraction method is an efficient way to detect the moving object efficiently on the foreground frame. Object detection and extraction could be performed in various ways. Once the object is found, then a classification method is applied to recognize the object and its motion. In this paper, first, the background subtraction method is applied to detect the person in a video input file. Then, this method is applied to track the human’s motion through the entire video. In the second step, the histogram of oriented gradient method (HOG) is used to extract the features from the input video file. And, in the last step, support vector machine (SVM) is used to classify the detected person’s identity and its motion. In this experiment, two different multi-class classifiers are used, SVM and decision tree (DT), to compare the performance of the classification models. Finally, a detailed comparison of each person and the motion class is performed to compare the classification rate of the two classifiers.
Time delay Reservoir Computing based on silicon microring resonators

Trabajo presentado en Students talk to Students (organized by the Nanolab), celebrado online el 28 de mayo de 2020.
COMMUNICATION STRATEGY: A CASE STUDY BETWEEN LECTURER AND STUDENTS IN ONLINE ENGLISH COURSE

The Covid-19 pandemic is the main reason in doing online learning. The change in this learning process is one of the efforts to stop the spread of the virus. Lecturers and students must adapt with this changes so that the learning process can run well. Many problems that arise in online learning can be solved if the lecturer has good communication strategies and styles during the online learning process. This study aims to analyze and explain some problems that arise in online English course and some communication strategies between lecturer and students to improve the quality of learning. This is a qualitative study with case study method. The subjects of this study were a lecturer and 10 students of the 4th semester Management study program who took English courses. Data collection in this study was done by observation and interview. The result showed that the problems are learning burnout, students’ frustration, and obstacles in providing feedback from students. The communication strategy between lecturers and students during the online courses is very important, such as lecturer should plan the learning process as well as possible and create a creative, varied, and innovative way to foster student enthusiasm in learning, lecturer should apply two-way communication that providing opportunities for students in responding either in the form of questions, discussions, or comments, and implement a collaborative learning system strategy in the form of project based learning (PjBL) and problem based learning (PBL).
A Proposed Arabic Text Encryption Method Using Multiple Ciphers

Most encryption techniques are deals with English language, but that deals with Arabic language are few. Therefore, many researchers interests with encryption ciphers that applied on text which wrote in Arabic language. This reason is behind this paper. In this paper, there are three cipher methods implemented together on Arabic text. Using more than one cipher method is increase the security of algorithm used. Each letter of plaintext is encrypted by a specified cipher method. Selection process of one of three cipher methods used in this work is done by controlling process that selects one cipher method to encrypt one letter of plaintext. The cipher methods that used in this paper are RSA, Playfair and Vignere. Each one of them has different basis mathematical model. This proposed encryption Arabic text method gives results better than previous related papers.
Relationship and Causality between Cryptocurrencies, Commodities, Currencies, Indexes and Web Search Results During and Prior to Covid-19 Pandemic

We observe the relationship and causality between cryptocurrencies on one, and commodities, currencies, equity indexes and web search results on the other side. We use prices of Bitcoin and Ethereum for cryptocurrencies, prices of crude oil and gold for commodities, Euro-US Dollar, Euro-Swiss Franc exchange rates for currencies, Dow Jones Industrial Average for market index and Google Trends® data as a measure of worldwide web search results for cryptocurrencies of interest. We find that Bitcoin and web search results correlation went from highly positive to low negative during the COVID-19 period. The results of the study show that the price of Bitcoin and Ethereum can be modelled using different combinations of commodities, currencies, indexes and web search results, with web search results and Dow Jones Industrial Average exhibiting best predictive power both concurrently and one day in advance. Our best performing models were able to explain more than 95% and 90% of Bitcoin and Ethereum price variability respectively. We also find strong evidence of web search traffic impacting both Bitcoin and Ethereum prices at all tested lags, as well as some evidence of gold impact on Bitcoin and EUR/CHF impact on Ethereum.
Expert system for Robotic Path Planning

Robotic planning to find the target our goal point/s is most important subject with the minimum distance and the fastest speed with obstacle avoidance expert system has been proposed. In this paper we try to compare and consider different scenario by taking two or more moving robot figure out the short path from the initial and the final point automatically through the map of many regular and irregular obstacles. Firstly, the adaptive fuzzy expert system is present where the fuzzy rule has been adaptive recursively through the robot moving, and then the potential field algorithm has been compared with the adaptive fuzzy system, the results demonstrated that the adaptive fuzzy is faster than the potential field but the accuracy moving of the potential field robotic path planning is much better. All the algorithms were failed when two robots moving from two different initial points to one final target point the why we have proposed particle swarm optimization (PSO) algorithm to solve such problem.
Pengembangan 3D Virtual Learning Environment

Virtual learning environment (VLE) has become an integral part of modern education. In the era of technology, students are using smartphone and computer in everyday learning. The use of computers for learning is diverse, starting from the simple thing like for reading e-books and learning materials to doing simulation. On the other hands, students are very familiar with computer games. 3D VLE offers learning process using media that looks like game so that students are motivated to learn and do the challenges given.&#x0D; &#x0D; Keywords: virtual learning, virtual learning environment, education