Reviewerly/exHarmony huggingface dataset:
An Enhanced Result Processing and Checking System for Public Universities using 2FA and TOTP

Various universities in developing countries have made several attempts to develop reliable solution that will centrally process student's result and convey same to these students in a seamless manner.There have been several complaints from students on issues bordering on missing scores, wrong computations, secured access to scores and results.We explored the result processing and checking challenges presently faced by public universities in Nigeria, and implemented an enhanced online system of students' result processing and result checking, which combated these challenges.Microsoft ASP.Net, JavaScript, XML, Java, HTML, CSS, JSON, JQuery, Web-API and Android technologies were used for this implementation.This method provides unambiguous identification of users by using two-factor authenticationusername/password and timebased one-time password.Enhanced online result processing and checking system provides a platform for easy course registration by students, result collation, grading and publishing by lecturers, result checking by students and management decisions by school authorities alongside Exams department.An evaluation of the new enhanced online system proved that it is more efficient than the existing system.The new enhanced online result processing and checking system has higher quality of information (92%), speed of access (93%), secured (91%), ease of use (92.5%) and low consumption of time (2%).The financial analysis yielded a positive net present value (NPV) and a very impressive return on investment (ROI).
IMPROVEMENT OF NOVEL REVIEW TEXT SKILLS THROUGHT THINK TALK WRITE MODEL IN SMP NEGERI 3 RAMBAH (PENINGKATAN KETERAMPILAN MENULIS TEKS ULASAN NOVEL MELALUI MODEL THINK TALK WRITE DI SMP NEGERI 3 RAMBAH)

This research was conducted because of the low activity and student learning outcomes in writing review texts. This is due to the lack of creativity of students and teachers in supporting the achievement of learning goals. This study aims to describe the increase in activity and learning outcomes of writing novel text review skills through the Think Talk Write model on class VIII SMP Negeri 3 Rambah. This type of research is classroom action research. The method of this research is qualitative and quantitative methods. The research subjects were class VIII students totaling 26 people. The data analysis technique of this research is qualitative and quantitative techniques. The results of this study are (1) an increase in the quality of student activities from prasiklus by 36% (lack of quality), cycle I by 60% (quite high quality), cycle II at 76% (quality), cycle III by 94% (very high quality) , and (2) an increase in completeness of pre-cycle learning outcomes of 46.15% with an average value of 67.88, cycle I of 61.53% with an average value of 76.15, cycle II of 80, 76% with the average value of 80.65 in the third cycle was 96.15% with an average value of 85.04. Based on the results of the study it can be concluded that the application of the Think Talk Write model in writing novel review texts is able to improve the activity and learning outcomes of class VIII SMP Negeri 3 Rambah.
Summer is Here: Is Your Pool Gate Secured? | Great Valley Lockshop

Whether you have a private backyard pool or manage a community or public pool, safety is surely your main concern. Security measures should always ...
PENERAPAN ALGORITMA A-STAR PADA APLIKASI PENCARIAN LOKASI FOTO BERBASIS ANDROID

Abstract: The art of photography continues to develop over time, a rapidly growing development has an impact on the high interest of the community in the world of photography. Many of them make photography as a form of media for creativity or hobbies and there are those who make it as a place to earn income. But not a few of these photographers who do not know some of the spots or locations of photos in the city of Bandar Lampung, which has aesthetic value when combined with the concept presented. Information limitations in the form of access routes or roads that can be taken to the location are also an important highlight. With this, the effort of that matter is by utilizing the development of information technology, to make an application that will help the community in finding the desired location or spot for photos. The results of this study in the form of an application that can provide information about the spot or location of photos in the city of Bandar Lampung, which is equipped with a guide in the form of maps that have been given the A-Star algorithm to determine the nearest route to the location or photo spot.
SHARED LEADERSHIP COMPETENCIES AND COMMUNICATION IN FOREIGN LANGUAGE CLASSROOMS

Leadership for learning has recently become one of the most important issues and research area in the field of education sciences and pedagogies. This strong linkage between effective leadership and school improvement as well as students’ learning and success is well documented in the literature on educational theory, research, and practice. This connection between leadership and education holds that effective leadership can boost quality education and make the difference in the lives of children and youth. Shared leadership is a practice and attitude that requires some personal commitment and some social and linguistic interactional competencies and skills. These include the abilities to change one’s behavior, attitudes and actions as well as those of others, that is, to be open to change and to play the role of a change agent through open structures of communication, power, social organization and interaction in an affectionate and social environment positive for all members to fully express and be themselves. The present paper addresses the issue of how foreign language classrooms can best contribute to the development of learners’ shared leadership competencies and skills with a particular emphasis on the importance of their classroom communicative competence and the nature of the classroom environment and communication. To this end, it provides a brief overview of some of the major defining principles of shared leadership theory and practice. Then, it presents some of the major competencies for effective and successful practice of shared leadership. Finally, it suggests and discusses some implications of shared leadership for language classroom communication. In this respect, it highlights the importance of open classroom communication and environment, and students’ classroom communicative competence for enhancing their active and creative participation in interactive classroom communication and practicing and promoting their interactional and social leadership competencies and skills, necessary for them to handle successful communication in different multi-cultural and multi-functional interactions and contexts. Article visualizations:
INFLUENCE OF ACMEOLOGICAL ABILITIES ON A PROFESSIONAL’S SELF-DEVELOPMENT

The article examines the concept of “acmeological abilities” in conjunction with the problem of an individual’s self-development. The whole set of an individual’s determinants influencing development of acmeological abilities is outlines. These abilities are considered in line with the main task of acmeology, namely, studying the objective laws, psychological mechanisms, conditions, and factors of a progressively developing mature personality. The performed review showed that problem of an individual’s abilities to self-development is not posed within the context of the psychological research on self-development itself. The productive and unproductive motivation for self-development is considered. The productive motivation for self-development is spiritually and creatively oriented. An individual having motivation is internally free, pay less attention to external developmental goals (success, career, money); his/her orientation on self-development is dictated mainly by the solution of creative, professional, spiritual tasks. Productive self-development is possible if not external, but internal developmental goals of a moral, spiritual character are achieved. The external developmental goals (professional, financial) are important but do not come at the first place. The efficiency of this motivation is manifested through achievement of better personality integration and integrity due to the harmonious conjugation of the individual’s internal and external life activities. The unproductive motivation for self-development is developed at neurotic, rigid behaviour (for example, perfectionism, achievement seeking). In these cases, an individual’s self-development is determined by solution of internal tasks; improved personal performances in a profession, won competitions, etc. This motivation is unproductive because the integrity of personality development is disrupted due to the compensatory nature of self-development under unproductive interactions with people around. The study identified the factors that contribute to or impede the implementation of acmeological abilities. The main factor stimulating an adult’s self-development is the need to solve complex professional and life problems that go beyond their actual and psychological competencies. The concept of “acmeological abilities” is correlated with the category of “auto-psychological competence”. &nbsp
Forensic analysis in Mobile Cloud Computing architecture

Data has become a bigger challenge to handle in mobile networks, today. In case of mobile devices data needs to be processed in large amounts so insufficient space issues may occur in case of low hardware configurations. For this, cloud platform provides ease of migrating apps to various places without giving platform dependency, space issues and also giving better data processing on low hardware costs. But is highly susceptible to malware attacks and data loss due to various factors and in case of digital data forensics becomes a greater challenge. In this paper, we present an overview of MCC and digital forensics, focusing on its key aspects and significant forensic challenges faced by digital investigators in MCC. The purpose of this paper is to provide a comprehensive understanding about forensic research challenges and re-direct researchers towards new research areas.
Come for a swim in our new pool of Education materials

After 20 years in operation, and as our system matures from experimental to foundational infrastructure, itâs time to review our documentation. Having a solid core of education materials about the why and the how of Crossref is essential in making participation possible, easy, and equitable. As our system has evolved, our membership has grown and diversified, and so have our tools - both for depositing metadata with Crossref, and for retrieving and making use of it.
Factors that Affect i-Vectors Based Language Identification Systems

The performance of a language identification (LID) system that uses i-vectors as features depends on several parameters, such as algorithm parameters and data parameters. In this study, an analysis of performance of a language identification system is considered, for which we focused only on data parameters in the “Back End” of the system, analyzing the influence of the amount of data and the speaker variability in the training phases of the UBM and the total variability Matrix T. Also, the Multiclass logistic regression (MLR) classifiers were analyzed, by balancing the classes of the database to train the classifiers on each language. These tests have been carried out in the Kalaka-3 database; we have used the average detection cost function (Cavg) to evaluate the performance. It is shown experimentally that in the training phase of the UBM, speaker variability is more important than a large amount of data. In the training phase of the total variability matrix T a better performance was obtained when a larger number of audios were used. And finally, balancing classes on each language to train the MLR classifiers allowed us to get a better performance only in certain languages. Using all of these proposed variations, we got a Cavg improvement of 37% in a standard language identification system.
Contrasting of Various Algorithmic Techniques to Solve Knapsack 0-1 Problem

This paper will point of convergence on a relative assessment and estimation of the dynamic programming, B&B, Greedy and Genetic algorithm including of the intricacy of time prerequisites, and the necessary programming endeavors and inspect the absolute incentive for every one of them. Out of these four, Two algorithm (Greedy and Genetic) algorithm can be utilized to clear up the 0-1 Knapsack issue inside a sensible time multifaceted nature. The most pessimistic scenario time unpredictability (Big-O) of the two calculations is O(N). Parallely, these calculations can't find the accurate response to the issue; they are valuable in detecting a close by premier final product as it were. Our basic commitment directly here is to investigate the two calculations contrary to common benchmark realities units and to quantify the precision of the impacts provided by method for each calculation. In this way, we will think about the top notch neighbourhood result created by utilizing the calculation against the genuine real most dependable outcome.
A NEURO-FUZZY BASED DOCUMENT TRACKING &amp; CLASSIFICATION SYSTEM

The worldwide web is an extraordinary resource for gaining access to information of all kinds.Each day a greater number of resources become available online.The advantages that internet offers researchers are tremendous; so much that some may be tempted to bypass the library entirely and conduct all their research on the web.In spite of this, the enquirers are being confronted with information overloaded with noise which the conventional search methods lack the capability to tackle.Existing search engines such as Google, Yahoo and Bing often return a long list of results which forces users to sift through it to find relevant documents; thereby making search for information difficult.This paper takes a critical study of document tracking and classification systems and presents a Neuro-fuzzy based model for classification of search results based on the strength of words in the query.The structured systems analysis and design methodology and the neuro-fuzzy clustering technique were employed to study and classify the documents into groups of similar topics for specific knowledge.The work built an adaptive intelligent information retrieval system which will cluster internet documents into similar topic using an unsupervised machine learning techniques to reduce the percentage of irrelevant documents that are retrieved and presented to users.
A Study on the Selection for Textbooks

The purpose of this study is to examine the two different ways in which textbooks are scrutinized by teachers: evaluation for selection and analysis for implementation. In the evaluation for selection process, those with the responsibility for choosing textbooks need to consider not just the fit between the curriculum and the textbook but also the practical issues of usability by teachers and by students. Once a textbook has been selected, teachers need to analyze the resources in the textbook to create a plan for daily lessons and for the whole course that helps them both implement and supplement what is already given in the most efficient and effective way.
The DOLCe Initiative: Connecting libraries and advanced computing

This work was supported in part by Planet Texas 2050, a research grand challenge initiative of The University of Texas at Austin.
DepEd Commons: Sustaining Students’ Learning in Physical Science

This research aimed to identify the relationship between the perceptions of the students and the level of satisfaction after using DepEd Commons. This study also included the problems encountered by the students in using DepEd Commons. This study used quantitative research, specifically descriptive method of research. The subjects of this study were the one hundred thirty six (136) Grade 12 students taking Physical Science subject at Mataasnakahoy Senior High School. The researchers used questionnaire-checklist as the research instrument in data gathering. The result of the study showed students’ continual learning of the Physical Science subject after the utilization of the platform.
Single Image Super Resolution via Advanced Multiple Mixture Prior model.

The reconstruction of High Resolution (HR) image from single input Low Resolution (LR) image is main criteria in this paper. Here, we utilize an effective way using mixture prior models to transform the large nonlinear feature space of LR images into a group of linear sub spaces in the training phase. In particular, we first partition image patches into several groups by a novel selective patch processing (SPP) method based on difference curvature of LR patches, and then learning the mixture prior models in each group. Moreover, different prior distributions have various effectiveness in super-resolution, in this case, we find that A-Student-t prior shows stronger performance than the well-known Gaussian prior and student-t prior model. In the testing phase, we adopt the learned multiple mixture prior models to map the input LR features into the appropriate subspace, and finally reconstruct the corresponding HR image in a novel mixed matching way. Experimental results indicate that the proposed approach is both quantitatively and qualitatively superior to some state-of-the-art SR methods.
Adversarial View-Consistent Learning for Monocular Depth Estimation.

This paper addresses the problem of Monocular Depth Estimation (MDE). Existing approaches on MDE usually model it as a pixel-level regression problem, ignoring the underlying geometry property. We empirically find this may result in sub-optimal solution: while the predicted depth map presents small loss value in one specific view, it may exhibit large loss if viewed in different directions. In this paper, inspired by multi-view stereo (MVS), we propose an Adversarial View-Consistent Learning (AVCL) framework to force the estimated depth map to be all reasonable viewed from multiple views. To this end, we first design a differentiable depth map warping operation, which is end-to-end trainable, and then propose a pose generator to generate novel views for a given image in an adversarial manner. Collaborating with the differentiable depth map warping operation, the pose generator encourages the depth estimation network to learn from hard views, hence produce view-consistent depth maps . We evaluate our method on NYU Depth V2 dataset and the experimental results show promising performance gain upon state-of-the-art MDE approaches.
REALIZATION OF TEST PAPER SCORE CUMULATING SYSTEM BASED ON DIGITAL IMAGE PROCESSING

In order to solve the problem of handwritten score cumulating in test papers, this paper studies the implementation of test paper score cumulating syste m based on digital image processing on MATLAB 7.0.8(R2009a) programming platform.The whole experiment process includes image preprocessing, scoring place positioning and segmentation, character recognition based on artificial neural network and the summation of scores.The experimental results prove that the method is effective and accurate, and also shows that MATLAB is effective in the application of this method.
Chain Reaction Artificial Intelligence Model

As many of us play Zero Sum Board games like Chess,tic-tac-toe,Chain Reaction etc,so we note that between Human and AI,Generally Human wins over AI.The reason is because of the dumb and lame strategies or moves played by the AI of the game because of wrong decision making.So we believe that Board games are amazing examples of decision making under uncertainty. In specific, a few games have such an immense state space and high level of uncertainty that conventional algorithms and strategies struggle to play them effectively.The aim of this paper is to put forward Monte-Carlo Tree Search Algorithm as a unified framework to a Board game's AI. In the modeled framework, randomized explorations of the search space are utilized to anticipate the most promising game moves.The approach allows to exploit the strengths and overcome the weaknesses of the given AI and facilitates the creation of a superior AI in a service-oriented fashion.All these AIs aim to select the best possible move in a given situation, i.e. for a given board configuration by predicting the next moves of the human player and creating its hashmap. In Chain Reaction the most vital part of the game is to find the best position to make a corresponding move on the board at that position. Hence, Our artificial intelligence model for the game of a board game would first need to identify the best position, predict the opponent’s future moves on the basis of previous moves select the optimal move and then make the move at that location.Particularly, we want to explore the scope of Monte Carlo Tree Search in Zero Sum Board Games like Chess,Chain Reaction,Tic-Tac Toe.We have used Chain Reaction as a basis for our Research. Based on the concepts of Model Based on the concepts of Monte Carlo Tree Search, a conceptual game model is developed in a Live Access Server extension of Visual Studio Code i.e a web browser extension to live reload and designed to provide access to the uploaded HTML/JavaScript/CSS/ ES6 files where Monte Carlo Tree Search Algorithm has been implemented for the game’s Artificial Intelligence.This research concludes a proof of practical concept that is to believed to be very useful for Zero-Sum Board Games.
LibGuides: Integrating Web 2.0 Tools Into Your Classroom Teaching: Home

This guide is for upper elementary and middle school teachers. This guide will provide support with technology integration for classroom teaching.
Analisis Komparasi Implementasi Steganografi White-Space dan White-Space Modified pada Artikel Terenkripsi AES dalam HTML5

The level of internet usage continues to increase until now. information exchange requires security that cannot be predicted by others. one technique for securing information is steganography. Steganography techniques are the science and art of hiding information. This technique can hide the content of information in media that cannot be guessed by ordinary people, so as not to arouse suspicion of the people who see it. One of the media that can implement the white-space modified steganography method is HTML pages. in addition, AES (Advanced Encryption Standard) is a lighter encryption security algorithm compared to other algorithms. In this study, plain text that has been encrypted into cipher text is then inserted with white-space and white-space modification steganography techniques. Data changes have occurred but only less than 1 percent. In experiments that have been implemented on Google Chrome and Mozilla Firefox are the same except in Internet Explorer, which changes the data slightly larger. The implementation of AES encryption and stegano white-space original, has 100% success but the 80% decryption process is successful, but the decryption results contain additional binaries. This happen because the use of tabulation (tabs) instead of spaces in HTML5 articles, and this is often found in HTML articles. while the implementation of AES encryption and stegano whitespace modified, has a success of 100% and the decryption process of 90% succeeded without any changes. 1 article failed because the number of articles is too small compared to the amount of space provided. The conclusion that implementation of AES encryption and white-space modified is more appropriate to be implemented in HTML5 articles, and than the use of tabulation and the number of characters also consequences on the implementation. Keywords : Information, Steganography, White - space modified, Security, AES, Web Browser