Reviewerly/exHarmony huggingface dataset:
Introduction

Statistics Using R introduces the most up-to-date approaches to R programming alongside an introduction to applied statistics using real data in the behavioral, social, and health sciences. It is uniquely focused on the importance of data management as an underlying and key principle of data analysis. It includes an online R tutorial for learning the basics of R, as well as two R files for each chapter, one in Base R code and the other in tidyverse R code, that were used to generate all figures, tables, and analyses for that chapter. These files are intended as models to be adapted and used by readers in conducting their own research. Additional teaching and learning aids include solutions to all end-of-chapter exercises and PowerPoint slides to highlight the important take-aways of each chapter. This textbook is appropriate for both undergraduate and graduate students in social sciences, applied statistics, and research methods.
Image Forgery Detection using Adaptive Oversegementation and Key Point Matching

Abstract: The scope of this paper is to propose a image forgery detection application by combining adaptive oversegmentation and feature point matching, the suggested scheme presents a novel method for detecting copy-move forgery in images. Using superpixel-based analysis, it divides the image into erratic blocks, extracts feature points, and fine-tunes areas that could be fakes. The accuracy of the detected forged areas is then improved by morphological operations. Results from experiments indicate that this method performs better than current ones, especially under difficult circumstances.
Bridging between hype and implementation in medical extended reality

The path to market and to a meaningful impact on care delivery for medical extended reality (MXR) is challenging, due to limitations with current display technologies and as the MXR approach is far away from the traditional practice of medicine and the daily experience of most patients or healthcare providers. Focused conferences, which bring together all stakeholders for free communication and the brainstorming of optimal approaches to design, validation, and regulatory approval are important and are being organized by the clinician-enthusiast and developer community. These conferences and the community spirit they inspire are models for other digital health subdomains.
Fast Bidirectional Motion Planning for Self-Driving General N-Trailers Vehicle Maneuvering in Narrow Space

Self-driving General N-trailers (GNT) vehicles are one of the future solutions to build intelligent factory due to its flexibility and large load. Maneuvering of GNT vehicle to its destination requires accurate and robust motion planning. But the narrow operating environment causes nonlinear nonconvex constraints which are challenging. Furthermore, the nonholonomic constraints in GNT kinematics elevate the complexity in state space. Therefore, motion planning of GNT vehicle maneuvering in narrow space within a reasonable time and high success rate is a critical problem. This paper proposes a fast bidirectional motion planning algorithm to generate trajectories for GNT vehicles to maneuver in a narrow space. A coarse-to-fine motion planning paradigm has been proposed to balance the robustness and time. In the coarse step, an initial guess is generated through a bidirectional-sampled closed-loop Rapidly-exploring Random Tree, and a spatial-temporal safety corridor has been constructed to convert nonlinear nonconvex constraints to linear convex constraints. In the fine step, an optimal control problem is defined accordingly and solved to obtain feasible trajectory. Four different scenarios have been conducted with forward and reverse GNT vehicle maneuvering in a narrow environment. The results show that the proposed method outperforms state-of-the-art sampling-based and optimization-based motion planning methods.
Geocodes in Geographic Information Systems

This paper examines the role of geocodes in geographic information systems. Geocoding is a technology that efficiently indexes spatial data by converting geographic coordinates into short string. Various formats are used in geographic information systems and factors such as convenience, performance, and legacy used formats play a role in deciding which format to use. With this regard in this study, we overview the main geocoding systems and outlined their main characteristics. As a result, the geocoding systems are categorized into few categories to facilitate the process of choosing the proper geocoding systems to be used in the geographic information systems.
Secured Information Transmission Using Audio and Video Steganography

The rapid progress in the wireless communication has significantly made the data transmission faster. But this transmission process is also threat to data being altered, destructed or copied by any intruder, attacker or unauthorized user. Once information departs from protected networks, it traverses publicly accessible systems like the Internet, introducing a heightened level of complexity to security concerns in a network environment. Hence, it is important to safeguard the data transmission by restricting the access to our transmitted data by ensuring the information is secured during its journey in the network. To ensure data privacy and integrity the various encryption technologies have come across.One such is the steganography. In steganography, data is concealed in the media files such as text, audio, video or image. This embedded file is called stego file which can be transmitted over the network. Which is likely not be detected with the concealed data into the stego file as a result the information is transmitted securely. To embedded the data into such media files we use improved Bi-LSB approach. The standard LSB technique may be easy to detect the hidden data and hence to enhance the concealing level we use improved Bi-LSB technique over standard LSB technique. The input data is text format and the steganography carried out for data is audio and video files. In order to provide dual security to the information to transmit through the network, along with steganography we implement encryption using AES 256. For greater security, both the sender and the recipient encrypt and decrypt the data using the AES 256 technique. The performance measurements are measured using various file sizes. While the PSNR ranges from 45 dB to 110 dB, the MSE produces average values of 2.2e-04 and 5.4e06 for audio and video steganography, respectively. The performance metric results are more encouraging. The technology uses steganography to safeguard data from hackers and ensure that it is securely transmitted to the intended recipient.
The Transformation and Development of Teacher's Role in the Reform of College English Teaching

This study mainly explores the transformation and development of the role of teachers in the reform of English teaching in universities. Firstly, the problems existing in the traditional English teaching mode in universities were analyzed, such as teacher led teaching mode, passive acceptance of knowledge by students, and lack of interaction and practical links. Subsequently, the transformation and development of the role of teachers were discussed, including from knowledge imparters to learning guides, from educators to learners, and from evaluators to mentors. Then, methods and strategies for changing the role of teachers were proposed, such as advocating for a student-centered teaching philosophy, providing diverse learning resources and activities, and establishing a positive learning environment. Finally, the significance and impact of teacher role transformation were elaborated, including improving students' learning motivation and enthusiasm, cultivating students' comprehensive abilities, and promoting the development of English teaching reform in universities.
Automation of Animal Feeders Using NODEMCU ESP8266 and Smartphone-Based BLYNK APP

Most humans today have used smartphones or smartphones, and besides that, humans also have pets where these pets require routine care, such as feeding the pet and others. We as humans sometimes when are not available or unable to care for our pets. Therefore the author raises the title "Automation of Animal Feeding Using Nodemcu Esp8266 and Smartphone-Based Blynk App".This research uses Research and Development methods or research and development. The source of data used in previous studies was Pet Feeder and direct observation for making the author's tool using the ADDIE method (Analysis, Design, Development, Implementation and Evaluation). Based on the observation of the finished results of the tool, it was concluded that the tool can work smoothly and show results to pets in the form of regular pet feeding schedules and with the right portions.
FOSTERING AN INTEREST IN READING AND THE CREATIVITY OF ORPHANAGE CHILDREN THROUGH STORYTELLING AND THE LIBRARY CORNER

Creativity should be developed as early as possible since the child is born. The world of children and teenager is a world of creativity, where they need space to move, think and be emotionally guided. One way to foster creativity is through reading activities. In comparison to other nations, Indonesians continue to have extremely little interest in reading. According to UNESCO data, Indonesia has the second-lowest rate of literacy in the entire globe. In terms of reading interest, Indonesia comes in at number 60 out of 61 nations. The public's lack of interest in reading should motivate the pertinent parties to facilitate and investigate what the reason of this is as soon as feasible. The provision of children's libraries is one way to promote creativity and reading interest among the younger population, especially children. On August 6, 2023, this community development activity was carried out to give the kids at the Hafidhin Royan Orphanage in South Jakarta City access to a little library called "Pojok Pustaka." By putting reading bookshelves in places where kids may easily access them, the service activity has been successfully carried out. When asked about their reactions, the orphanage residents' comments revealed that they were quite excited and glad to read the many picture books offered by Pojok Pustaka. The selection of books in the Pojok Pustaka will continue to be gradually expanded in an effort to prevent boredom, ensuring that kids who visit the Pojok Pustaka to read always have new books to choose from.
Rancang Bangun Aplikasi Kasir Dan Stok Barang Di Apotek Munawwarah Farma Berbasis Website

Background: Information and communication technology enables the collection of information quickly and efficiently, enabling better data management from company locations. Additionally, this technology can help businesses in formulating the best strategies and policy owners by acting as a catalyst for accurate decision making. After talking to and observing store owners, it became clear that they faced a number of difficulties in running their businesses on a daily basis, especially when it came to tracking sales transactions and managing inventory. This analysis shows that there has never been an application for managing sales transactions and inventory. To manage transactions more quickly, the Munawwarah Farma Pharmacy store must have a computerized system that supports the sales process, so that it can help the transaction process run quickly and precisely. Method: In this research, researchers implemented the Agile Software Development method in a web-based sales and stock recording application. Purpose: This application also has a feature for managing access rights so that shop owners can regulate which pages can be accessed by employees or cashiers, so that they can maintain the security of stock data to avoid unwanted things. Research Results: Based on the design results of the implementation of the Agile Software Development method in the web-based application for sales and stock of goods at the Munawwarah Farma Pharmacy shop which has a sales transaction feature using a barcode scanner and also in this application there are details of sales and purchases which can help shop owners to can manage stock of goods easily.
ENHANCING LEARNING WITH ARTIFICIAL INTELLIGENCE FOR YADIKA 1 PRIMARY SCHOOL TEACHERS

This community service project aimed at elevating the teaching skills of our community service partner, a primary school for children aged 7-12 named SD Yadika 1, located in Jakarta-Indonesia. The educator in this institution has yet to become familiar with technology such as Artificial Intelligence (AI). One of the best implementations of AI that holds the potential to help educators is ChatGPT. The partner must upgrade digital literacy, specifically ChatGPT, to enrich the education process. In this publication, we address the quality of teachers' digital literacy, specifically the knowledge to use ChatGPT AI. The solution is a socialization and training project for the teachers of our partner. The project utilized a training and hands-on approach, accompanied by pre and post-tests, to evaluate its effectiveness. Results of the project indicate improvement in teachers' knowledge, with an average increase of 22% observed in their pre-test and post-test scores. A remarkable 100% of the participants expressed positive feedback that the project was executed well and provided substantial benefits. This publication highlights the successful application of AI and supports the notion that integrating AI into education will have a positive impact on primary school teachers.
Examining the Social Recovery Factors in Drug Addiction Using Systematic Review Process

There have been many studies conducted on drug rehabilitation focusing on the individual but only a few studies are related and include the role of the family and community. In the context of this study, the researchers have selected social factors as determinants of social recovery among drug addicts. This study aims to systematically review the role of family and community in the social recovery process of drug addicts. This systematic review will focus on the role of family, peers, and community. This study was guided by the Reporting Standards for Systematic Evidence Syntheses (ROSES) review protocol. There are three main processes in the systematic searching strategies process namely identification, screening, and eligibility. The search process involved two databases, namely Scopus and Web of Science, which resulted in 25 selected articles. Four main themes were identified which are family functioning, the role of partner/significant other, emotional support and social network. Social recovery should be seen as a process of facilitating recovery within individuals, families and communities which enables them to maintain their recovery and avoiding relapse after successfully recovering from drug addiction. Identifying these factors can strengthen the recovery process of individuals and encourage successful integration into the community.
CAR VEHICLE IMAGE OBJECT DETECTION USING YOU ONLY LIVE ONCE (YOLO)

This research aims to analyze the performance of image object detection methods using You Only Live Once (YOLO) specifically in the context of car detection. YOLO-based object detection methods have gained great attention in the artificial intelligence community due to their ability to perform real-time object detection. In this research, we focus on using YOLO to detect car objects in images. The YOLO method will be tested for performance using a dataset of car images that have been collected from various sources. This dataset includes various lighting conditions, backgrounds, and car positions. The training process will be performed using the YOLO architecture that has been pre-trained with an extensive dataset. In the testing phase, the performance of the YOLO method in car object detection will be evaluated using standard evaluation metrics such as precision, detection speed, and recall. The results of this study will show the success rate of YOLO in car detection in images and provide a better understanding of the limitations and advantages of this method. The conclusion of this research is expected to provide valuable insight into the use of the YOLO method in car object detection. This information can be used as a basis for the development and improvement of YOLO-based object detection methods, and can be applied in various applications such as automated vehicle security systems and traffic analysis.
Nationality Discursive of Hamzanwadi: A Socio-Cognitive Critical Discourse Analysis (CDA) Perspective of Teun A. Van Dijk

This study explores the discursive ideological aspects of Hamzanwadi's nationality in the national movement's texts, languages, and institutions. Language texts as names or designations and institutions of national movements have cognitive content, ideologies, norms, and values, all of which give birth to awareness as a nation that must be independent and have a better life. The study is based on Van Dijk's Critical Discourse Analysis (CDA) framework through micro-macro, namely the existence of power as control. This context of mastery gives birth to Hamzanwadi's discursive nationality with the ideology of cognition, attitudes, norms, and productive values for Indonesian nationality. The study uses historiographic methods, with techniques for documenting historical texts of national struggles through historical sources and interviews. The study data were analyzed as a discursive discourse with the Van Dijk CDA micro-macro framework. Each text data is explained in finding socio-cultural relationships with the ideological substance that gives birth to nationality through cognitive awareness, attitudes, ideologies, and norms. The study found that Hamzanwadi's discursive nationality began with thinking as a form of cognition awareness of the fate of his people due to colonized conditions. Cognitive awareness gives birth to establishing educational institutions as a forum and instrument to build the same mental understanding of the context happening. The naming of educational institutions and mass organizations reflects the affirmation of national attitudes through the attitude of wanting to be free and live equal to the civilization of other nations. Discursive nationality does not stop at the cognitive awareness, attitudes, and values of the importance of independence but continues with the agenda of filling freedom with continuous development.
Crime Prediction Using Support Vector Machine and Extracted Twitter Features

Citizen security in smart cities is a historical prob-lem that is addressed from several fronts. One of them is the implementation of intelligent solutions based on computational intelligence techniques that allow to develop preventive and/or reactive strategies to improve the life quality of citizens. This article presents a strategy that allows cities to predict criminal acts in specific spaces and times based on citizen participation through the Twitter social network. The proposed method consists of using a natural language processing model to extract features of the tweets made in the space and time of interest in order to predict if a criminal act will be committed in a later time window. The proposed method is able to predict future time windows where criminal acts will potentially be committed with a percentage of 87 % with a resulting accuracy of 77 %.
Cognitive Solution for Vulnerability Detection on Front-End*

With the rapid growth of Front-End technologies and the lack of code sanitization, multiple ways of attacking through code have emerged. Allowing cybercriminals to access confidential information, impersonate identities, steal money, access databases, among others. Our project approaches the 3 of 10 vulnerabilities identified by OWASP as the most recognized and usual in web applications, to identify and evaluate them at the JavaScript code level. For this, a machine learning model was proposed, detecting the frequency of occurrence of a word with the identified vulnerability; resulting in a model with an accuracy of 89%. Finally, an extension was implemented in Visual Studio Code to read in real time the code that the person is writing in order to identify which vulnerabilities it has.
A MOBILE CONDUCTING APP WITH A SWITCHING BEAT-FOLLOWING ALGORITHM

Conducting an orchestra had been a privilege reserved for professional conductors, until there are music conducting systems that can follow the user's lead. The music playing and beat tracking components of conducting systems have been well
Regularities and Features of Overcoming Cultural Differences and Ensuring the Inclusiveness of Higher Education for the Development of Climate-Smart Green Innovations in Industry 4.0 in the Eurasian Economic Union

Cultural differences and the absence of inclusiveness in the systems of higher education lead to modern universities’ inability to participate in the creation of competitive R&D related to climate-smart green innovations in Industry 4.0. However, not always do the absence of contradictions in the cultural sphere and support for inclusive conditions of universities’ functioning allow achieving high indicators in the sphere of commercialization of knowledge, including for climate protection. In this research, we identify a range of regularities that positively influence the opportunities for the scientific and educational partnership of universities in countries of the Eurasian Economic Union (EAEU). We also describe the positive and negative features of universities’ implementing the function of commercialization of R&D in the creation of climate-smart green innovations in Industry 4.0 (also in the support of inclusiveness of the functioning of scientific and educational organizations). The novel approach of this research lies in the formulation of the theoretical and practical provisions on the basics of universities’ participation in the commercialization of knowledge for the purpose of climate protection in countries of the EAEU.
Supplementing or Replacing Standard Requirements

The entire book up until this point was spent talking about requirements as purely shall statements. This concept of requirements was the foundation of the waterfall development methodology, starting with hardware and then translating into software. However, other types of requirements are referred to as user stories, use cases, and modeling. Now you will be exposed to these types of requirements and how you can use them to supplement or replace shall statements. This and the next two chapters will discuss each topic so that you will be able to create them as needed, and why.