Reviewerly/exHarmony huggingface dataset:
Aplikasi Pembelajaran Pengenalan Budaya Indonesia

Indonesia is an archipelagic country that has a great diversity of tribes, arts and cultures. The word art and culture are two things that are interrelated and cannot be separated, because each art must have a distinctive culture. But most of us don't know that. Therefore we need to cultivate a sense of nationalism and love for the homeland from an early age, especially children of primary school age. Most schools only use book media to study it so that students get bored quickly, there are many ways that should be done by teachers, one of which is to use headphone media, or commonly called interactive multimedia. The development of interactive media which is part of the information delivery media which is currently a new alternative method that can be used as a means of delivering information in a form that is fun, interesting, easy to understand, and clear, multimedia that is generally known is a variety of graphic combinations, text , sound, video, and animation. This active multimedia learning model is very effective because of the many elements of animation. by utilizing this interactive animation application introducing Indonesian arts and culture created as a solution so students are interested and not easily bored while studying, besides it also makes it easier for students to know and know Indonesian art and culture that are very diverse. This can also make students more love and proud of the culture that Indonesia has. Keywords: Aplication,Multimedia, Culture
A Hierarchical Attribute-Based EncryptionFor Mobile Cloud Data Security

Cloud computing, as a promising computing model, enables users to remotely storetheir data into a cloud so as to enjoy scalable services on-demand. However, allowing Cloud Service Providers (CSPs), which are not in the same trusted domains as enterprise users, to take care of confidential data, may raise potential security and privacy issues. To keep the sensitive user data confidential against entrusted CSPs, a usual way is to apply cryptographic approaches, by disclosing decryption keys only to authorized users. However, when enterprise users outsource confidential data for sharing on cloud servers, the adopted encryption system should not only support fine-grained access control, but also provide high performance, full delegation, and scalability, so as to best serve the needs of accessing data anytime and anywhere, delegating within enterprises, and achieving a dynamic set of users. In this paper, we propose a scheme to help enterprises to efficiently share confidential data on cloud servers. We achieve this goal by first combining the Hierarchical Identity- Based Encryption (HIBE) system and the cipher text-policy Attribute-Based Encryption (CP-ABE) system.
HTML navigation menu on Web page - Types and examples

The relationships of the pages with each other configure the menu structure of the site. From the main page, they are linked to the rest of the pages
What is JavaScript - Origin, evolution and features

Netscape invented JavaScript to make any Web page dynamic and interactive. Because HTML did not have enough features
Maintain updated publications on the Website

Updating on a regular and regular basis is a way to show the user novel content and make sure he or she will visit the site again
Truth tables in PHP

All logical operators evaluate the truth value (that is, whether it is true or false) of each of the conditions separately, and then, according to the operator used to join these conditions, return a single value of true or false for the complete set of conditions that formed that expression
Difference and evolution of the HTML, XHTML & HTML5 versions

The goal of HTML5 and its related standards is to provide a set of powerful tools to develop applications and websites
An Open-Source Software Metric Tool for Defect Prediction, Its Case Study and Lessons We Learned

The number of research papers on defect prediction has sharply increased for the last decade or so. One of the main driving forces behind it has been the publicly available datasets for defect prediction such as the PROMISE repository. These publicly available datasets make it possible for numerous researchers to conduct various experiments on defect prediction without having to collect data themselves. However, there are potential problems that have been ignored. First, there is a potential risk that the knowledge accumulated in the research community is, over time, likely to overfit to the datasets that are repeatedly used in numerous studies. Second, as software development practices commonly employed in the field evolve over time, these changes may potentially affect the relation between defect-proneness and software metrics, which would not be reflected in the existing datasets. In fact, these potential risks can be addressed to a significant degree, if new datasets can be prepared easily. As a step toward that goal, we introduce an open-source software metric tool, SMD (Software Metric tool for Defect prediction) that can generate code metrics and process metrics for a given Java software project in a Git repository. In our case study where we compare existing datasets with the datasets re-generated from the same software projects using our tool, we found that the two datasets are not identical with each other, despite the fact that the metric values we obtained conform to the definitions of their corresponding metrics. We learned that there are subtle factors to consider when generating and using metrics for defect prediction.
How to start the creation of a Web page - Useful tips

Start by getting to know the customer, gather information about how your business is running. Start working on the project until you have clear objectives and strategies
How to generate traffic on my web page

Companies that have a Web page operative on the Internet must make known its existence to help increase the real number of visitors
INCF Standards and Best Practices Review Criteria version 2.0

INCF has recently implemented a formal procedure for evaluating and endorsing community standards and best practices in support of the FAIR principles. By formally serving as a standards organization dedicated to open and FAIR neuroscience, INCF helps evaluate, promulgate, and coordinate standards and best practices across neuroscience. This document outlines proposed updates to V1.0 of the the endorsement criteria for standards and best practices.
GoogleBot What is it? A spider or tracking robot

Googlebot is Google’s web tracking robot, through which Google discovers new or updated pages and adds them to the search engine index
Website design - Basic features and elements

The design of the pages should be based on the requirements of the site and users, taking care of the elements used to communicate the message
Usos e usuários do Arquivo Público Mineiro em ambiente digital e presencial

This exploratory research has had an aim to investigate and to compare the users’ use profile of external and remote users of The Minas Gerais Public Archive, due to shortage of users studies in the referred institution and in the Archival Science in general. Paper questionnaires were applied among 39 users in-person in that Archive and other 54 online throughout 2017 year. It predominates high education users of Humanities area for both access means. It was noted more diversity of queries done by remote users than by face to face users, despite the fact that for both predominates academic use and queries to public documentary archives – specially to State Interior Secretary and provincial section – and to one of the institutions' collections – Contos House. It is concluded the necessity of investing more in remote services, as many users initiate their researches in that environment before going to face to face environment, and to allow more visibility to the Archive and for being the environment in which there are more queries demanded by users.
Efficient modulo adders using reversible circuits

Reversible logic is a computing paradigm that has attracted significant attention in recent years due to its properties that lead to ultra-low power and reliable circuits. Reversible circuits are fundamental, for example, for quantum computing. Since addition is a fundamental operation, designing efficient adders is a cornerstone in the research of reversible circuits. Residue Number Systems (RNS) has been as a powerful tool to provide parallel and fault-tolerant implementations of computations where additions and multiplications are dominant. For the first time in the literature, the combination of RNS and reversible logic is used. The parallelism of RNS is leveraged to increase the performance of reversible computational circuits. Being the most fundamental part in any RNS, the implementation of different adders, namely ripple carry adder, carry save adder, carry look ahead adder, Kogge stone adder and Han Carlson Adder, using reversible logic. Analysis and comparison with different adders for modular addition are designed using reversible gates with minimum overhead in comparison to regular Brunt Kung modulo-adders.
URL - What it is, meaning, types, examples and parts

URLs (Uniform Resource Locators) or Resource Locators are unique addresses used to locate a Web page and its contents on a network serve
The information architecture of a Site and Web Usability

The information architecture works on the structural design of information systems, organization, recovery and intuitive presentation of data
Design of Laser Rangefinder for Obstacle Avoidance of Intelligent Robot in Cloud Computing Environment

In order to use intelligent robot to realize industrial automation, it is necessary to study the obstacle avoidance method of intelligent robot in cloud computing environment. The traditional obstacle avoidance method mainly uses fuzzy controller to realize the obstacle avoidance of intelligent robot. The problem of low recognition accuracy exists. In this paper, a design method of laser rangefinder for obstacle avoidance of intelligent robot in cloud computing environment is proposed. Firstly, the location problem of intelligent robot by laser rangefinder is modeled. Then, the obstacles are made feature extraction. Finally, the wavelet neural network classifier is used to identify obstacles. Experimental results show that the proposed method can realize the effective obstacle avoidance of intelligent robot.
Teaching Reform of Adult Correspondence Education Based on Practical Projects Using the Example of the “Principle and Knowledge of Database” Course

The course of "principle and knowledge of database" plays an important role in computer science education.Adult correspondence education has its inherent characteristics compared with education received by ordinary college students.This study analyzes the general problems encountered in the course teaching.Aiming at the characteristics of adult education, we start from the selection of case studies and the proper planning of the course content, followed by putting forward specific measures for teaching reform based on actual projects.Lastly, opinions on the prospective of the course reform are presented.
Automatic detection of white blood cells cancer diseases

Blood smear images are efficient and reliable source of information in extraction of features in case of cancer detection. In assessment of cancer detection like leukemia cancer image feature extraction and reduction has to be carried out efficiently. It discusses a robust image feature extraction algorithm using scale invariant feature points for key point extraction and GLCM Shape Analysis. For matching the key points, k nearest network algorithm is developed with tumbling functions of model. This technique assists in comparing the scale invariant feature points and GLCM features. From the obtained outcomes, the capability of the obtained accuracy is estimated and it is wrapped up that the proposed approach is efficient in regards to SVM algorithm.
HTML simple effects - Tags b, i, u, s, h1 - h6 & blockquote

To modify the Text appearance in HTML tags are used to create bold, italics, underlined headings, strikethroughs and textual citations
Administration of a Web page on the Internet

The Websites must be created by multidisciplinary teams, to offer punctual and useful information for Internet users
How to start in Javascript

JavaScript works with scripts within the HTML code. The opening tag tells the browser to wait for JavaScript code instead of HTML
KETEPATAN SASARAN DANA BOS BAGI SISWA SMP NEGERI DI KOTA MAKASSAR

The School Operational Assistance Program is a form of government compensation for reducing subsidy funds for fuel oil in order to increase the demand of the poor for education services. This study aims to analyze the progressiveness of the School Operational Assistance Program for Public Junior High Schools in Tamalate District, Makassar City. This research was conducted using Benefit Incidence Analysis (BIA) analysis method. This research was conducted at SMPN 15 Makassar, SMPN 18 Makassar, SMPN 24 Makassar, SMPN 26 Makassar and SMPN 27 Makassar in February 2017. Data collection in the study used survey method through questionnaires distributed to students in the sample schools. The results of this study indicate that the School Operational Assistance Program for Public Junior High Schools in Tamalate District, Makassar City is a progressive policy that provides benefits of more than 30% to the poor.
Evolution of the Web 1.0, 2.0 & 3.0 - Differences & features

The Web came up with basic browsers that only interpreted text, then HTML appeared making the pages more friendly and easy to access
Users and groups in UNIX

A group is a set of users to which a name is assigned. For example, the students’ group can belong to all the accounts of the students of a school or faculty
Detecting Important Terms in Source Code for Program Comprehension

Software Engineering research has become extremely dependent on terms (words in textual data) extracted from source code. Different techniques have been proposed to extract the most "important'' terms from code. These terms are typically used as input to research prototypes: the quality of the output of these prototypes will depend on the quality of the term extraction technique. At present no consensus exists about which technique predicts the best terms for code comprehension. We perform a literature review, and propose a unified prediction model based on a Naive Bayes algorithm. We evaluate our model in a field study with professional programmers, as well as a standard 10-fold synthetic study. We found our model predicts the top quartile of the most-important terms with approximately 50% precision and recall, outperforming other popular techniques. We found the predictions from our model to help programmers to the same degree as the gold set.
Gender-Oriented Approach As Urgent Problem Of Sports Psychological Support

The article deals with the issues of athlete personality development in professional sports, depending on specialization. The component composition of the phenomenon of gender development of personality of an athlete and the concept of gender psychology of sports activity are considered. The results of the study made it possible to draw a conclusion about the existing laws, factors and mechanisms that make up the concept of gender development of an athlete and highlight the conditions that prevent the successful socialization of a person in sports activities. Despite numerous studies in the psychology of sports, issues related to the study of gender remain the most promising. The research interest is focused on various aspects, such as gender differences in athletes, study of sports motivation of different sexes, gender stereotypes, mental health of people involved in sports, psychological personality traits, etc. The purpose of this study is to consider the possibility of building a psychological model of an integrated gender-based approach aimed at the psychological support of sports activities. A psychological model of a gender-oriented approach (GOA) is proposed, which reveals the productivity of all subjects of sports activities in a particular area - masculinization of personality in sports, deformation of gender structure of personality in women (except feminine sports) and masculinity as an important quality of an athlete.
Strategic Planning in the design of a mobile application for the strengthening of the teaching/learning process in the TecNM

The project proposes the design, development and implementation of a mobile application that allows the interaction in real time of both teachers and students through the Internet, respecting their privacy, keeping the Mexican National Technology community informed of the day-to-day activities of the all this in order to encourage the use of mobile technologies. The strengthening of the teaching-learning process, through strategic planning using SWOT in order to detect strengths, weaknesses, opportunities, and threats and achieve the desired impact of the application. The methodology to be used is based on five points that starts with the design of the application until its implementation.
WEB Resource Integration Based on the Physical Education Courseware

Based on the integration of the WEB resources in the physical education courseware, we can combine the information of the course editing, the course sharing and the student management involved in the physical education to realize the effective coordination and management of the sports teaching process. Through such a system, we can solve various problems in the physical education. The platform combines RTP (Real-time Transmission Protocol) with RTCP (Real-time Control Protocol) to optimize the multimedia data transmission. The final test proves that the system has the stable performance, which not only breaks the traditional teaching methods, but also provides a new learning mode for the students. In addition, the teaching resources have been optimized, which has the broad application prospects.
An Efficient Data Hiding Approach on Digital Multi Plane Images for Secret Communication

The paper proposes the enhancement of security system for secret data communication through encrypted dataembedding in color images. A given input image is converted to any of the R, G or B plane. After plane separation,the encrypted data hider will conceal the secret data into the image pixels. The data hiding technique uses the LSBreplacement algorithm for concealing the secret message bits into the input image. Steganography attempts to hidethe existence of communication. In the data extraction module, the secret data will be extracted by using the relevantkey for choosing the image pixels to extract the data. By using the decryption key, the data will be extracted from the Input image to get information about the data. Finally, the performance of this proposal in Colour Image andencryption data hiding will be analyzed based on image and Encrypted data.
Analysis of solar potential for electricity generation in PT. Vale Indonesia Tbk. Sorowako

PT. Vale Indonesia Tbk. (PT. Vale) is a nickel mining company operating in Sorowako area, South Sulawesi, Indonesia. PT. Vale Indonesia Tbk. will experience a shortage of power resources starting in 2022 as production increases. The number of power shortages increases progressively to 61 MW in 2027. Therefore, additional energy resources are needed to support the production needs of PT. Vale Indonesia. Based on 3Tier, the value of solar irradiation in the surrounding Sorowako ranges from 1400 - 1700 kWh/m2. This study aims to analyze solar resources potential as an additional energy source. The methodology is using mathematically calculation and then validated by data of satellite, NASA and actual measurement.
Library Guides: Cyber Security: Welcome

This guide provides links to Australian and international standards and regulations relevant to cyber security.
Spotting non-nativeness in L2 texts: A statistical approach to translationese

Second language (L2) writing from the angle of translation universals (TU) offers substantial prospects of empirical research, but currently, only limited literature explains what linguistic factors shape non-nativeness in L2 writers’ texts. This article claims to demonstrate that robust TU indices may predict non-nativeness, more particularly translationese from non-translated English texts produced by non-native scholars of English. The ultimate goal is, therefore, to classify text types using the indices of translationese, which will, in turn, signify linguistic factors of non-nativeness detectable in non-translated L2 texts. To this end, this study employed a collection of multi-factorial analysis methods to compare native scholars' L1 English corpora, respectively with two different variations of non-Anglophone scholars' non-translated L2 English corpora (L1 English vs. Quasi-L2 English vs. L2 English). The results provided evidence that most TU indices were valid to spot translationese as a signal of non-nativeness in expert non-native writers' journal abstracts. Additionally, the behavioral profiles of the selected TU indices demonstrated that the two variant L2 texts were clustered in higher mutual proximity due to intergroup homogeneity when compared to their native counterparts (Yonsei University).
3D Hand Pose Estimation from Single RGB Camera

With the increase of popularity VR/AR applications, 3D hand pose estimationtask has become very popular. 3D hand pose estimation from single RGB camerahas great potential, because RGB cameras are cheap and already available on mostmobile devices. In this thesis we work on improving pipeline for 3D hand poseestimation from RGB camera. We dealt with two challenges - sophisticated algorithmictask and absence of good datasets. We trained several convolutional neuralnetworks and showed that direct heatmaps method is the best approach for 2D poseestimation and vector representation - for 3D pose. We demonstrated that addingdata augmentations even for synthetic dataset increases performance on real data.For 2D hand pose estimation, we proved that it is possible to train neural networkon large scale synthetic dataset and finetune it on small partly labeled real dataset toreceive adequate results, even when only small part of keypoint labels is available.With no real 3D labels available, model trained on synthetic data still could correctlypredict 3D keypoint locations for simple poses. All code and pre-trained models willbe publicly available.
Quantum algorithms on a four-qubit photonic controlled-shift gate

We implement a four-qubit controlled-shift gate leveraging photon entanglement in extended Hilbert spaces and observe Psuccess = 0.25. This enables our demonstration of a DQC1 protocol and the quantum phase estimation algorithm featuring a multi-qubit unitary.