Reviewerly/exHarmony huggingface dataset:
Supplemental Material for Prerequisites for learning in networked immersive virtual reality.

There has been growing interest in using virtual reality (VR) as a solution for many of the challenges facing distance education, such as fostering a sense of connectedness with classmates.However, implementing VR in distance education has its share of challenges, such as hardware accessibility and a scarcity of content which match curricula.In this exploratory, mixed-methods study, we examined 19 students' use of head-mounted displays to meet with classmates inside social VR.For 4 weeks, students worked together in small groups on various tasks inside a virtual environment.We present quantitative results on attitudes foundational to fostering ideal learning environments.Entitativity ("group-ness"), enjoyment, realism, and presence did not change over time, likely due to a small sample size resulting from technical difficulties in collecting data.We present qualitative observations on instructors' and students' experiences across time and with VR use, and how these may inform curricula development.First, it is critical to provide ample training time to allow students to grow accustomed to the medium before investigating how response to VR changes over time.Without learning how to use VR first, students cannot learn inside VR.Second, we discuss task type and content considerations within and outside of VR and provide recommendations on how to reduce cognitive load and encourage social interaction.Third, we address technological and social issues that are likely to arise.Overall, we focus on ways to create a sense of connectedness and reduce psychological distance and challenges that may disrupt meaningful interactions from taking place.
COMPARIOSN OF THE MOST PROFITABLE INVESTMENT OPTIONS AMONG BITCOIN, LQ45 STOCKS, AND GOLD IN A PERIOD OF 10 YEARS (2011-2021)

The objective of this study is to empirically assess the efficiency of investment between bitcoin, LQ45 stocks, and gold through significant the returns and risks among the variables. This investment efficiency attracts many people, especially young people and people who understand technology. This time, researchers try to find out which kind of investment offers the most significant profit and lesser risk in ten years to help people choose the best type of investment that suits them. Because many people from any generation are eager to learn about investing. Based on the previous research, turns out that bitcoin is the best investment tool compare to other investment instruments even it has bigger risk. the data used in this study collected from website in the internet, investing.com. According to the historical data from the most complete stock and commodities price website in the internet, investing.com, the writer tried to measure the return and risk from a period of 10 years (2011-2021). The result is Bitcoin has the biggest return than other instrument, but also having the highest risk than Gold and LQ45 Stock
ANALYSIS OF SPATIAL ASPECTS OF MEDAN TELADAN STADIUM RENOVATION

Based on the purpose of the Feasibility Study on the Renovation of the Medan City Exemplary Stadium, is to obtain a Foundation for the Planning and Design Program regarding the Renovation of the Exemplary Stadium in Medan City which has supporting facilities and is worthy of national fit. Spatial aspects in the feasibility study of the renovation of the Medan City Exemplary Stadium are adjusted to Regional Regulation No.1 of 2022 of the city of Medan (Regional Spatial Plan 2022 to 2042). The feasibility study of the renovation of the Medan City Exemplary Stadium used quantitative descriptive research, with the data used were primary data and secondary data. The Feasibility Study Method of Exemplary Stadium Renovation Planning to explain the design requirements (design needs) and design determinants related to the planning and design of the Exemplary Football Stadium with the analysis of spatial aspects. The results of this study are reviewed from the aspect of spatial planning, so the concept planned for the renovation of the Exemplary Stadium is feasible to be implemented.&#x0D; &#x0D;
Obstacle Detection Using Monocular Camera with Mask R-CNN Method

An autonomous car is a car that can operate without being controlled by humans. Autonomous cars must be able to detect obstacles so that the car does not hit objects that are on the path to be traversed. Therefore, it takes a variety of sensors to determine the surrounding conditions. The sensors commonly used in autonomous cars are cameras and LiDAR. Compared to LiDAR, the camera has a relatively long detection distance, lower cost, and can be used to classify objects. In this final project, the monocular camera and Mask R-CNN algorithm are used to create a system that can detect obstacles in the form of cars, motorcycles, and humans. The system will generate segmentation instances, bounding boxes, classifications, distance, and width estimation for each detected object. By using a custom dataset that is created manually it fits perfectly with the surrounding environment. The system used can produce a Mean Average Precision of 0.81, a Mean Average Recall of 0.89, an F1 score of 0.86, and a Mean Absolute Percentage Error of 13.4% for the distance estimator. The average detection speed of each image is 0.29 seconds.
Code Understanding Linter to Detect Variable Misuse

We share our experience in developing Code Understanding Linter, an automated code review tool based on language models of code. We introduce several ideas to make the tool be more practical, including combining two different language models, filtering meaningless outputs from the model, and generating developer-friendly diagnosis messages by interpreting the outputs from the model. On top of those ideas, we describe the design and implementation of an automated code review tool to detect variable-misuse defects in Python codes and suggest how to fix them. We evaluated the tool with a set of code repositories in Samsung Electronics, which contains real-world Python codes. Our experiment proves that our tool can discover hidden defects in the real-world codes, but the false positive rate is far higher than we expected. After manually investigating every false positives, we discuss the limitations of the language models and possible solutions.
Towards Generating Labeled Property Graphs for Comprehending C#-based Software Projects

C# is the most widely used programming language among XR developers. However, only a limited number of graph-based data acquisition tools exist for C# software. XR development commonly relies on reusing existing software components to accelerate development. Graph-based visualization tools can facilitate this comprehension process, e.g., by providing an overview of relationships between components. This work describes a new tool called Src2Neo that generates labeled property graphs of C#-based software projects. The stored graph follows a simple C# naming scheme and — contrary to other solutions — maps each software entity to exactly one node. The resulting graph facilitates the comprehension process by providing an easy to read representation of software components. Additionally, the generated graphs can act as a data basis for more advanced software visualizations without the need for complex data requests.
Augur: Dynamic Taint Analysis for Asynchronous JavaScript

Dynamic taint analysis (DTA) is a popular approach to help protect JavaScript applications against injection vulnerabilities. In 2016, the ECMAScript 7 JavaScript language standard introduced many language features that most existing DTA tools for JavaScript do not support, e.g., the async/await keywords for asynchronous programming. We present Augur, a high-performance dynamic taint analysis for ES7 JavaScript that leverages VM-supported instrumentation. Integrating directly with a public, stable instrumentation API gives Augur the ability to run with high performance inside the VM and remain resilient to language revisions. We extend the abstract-machine approach to DTA to handle asynchronous function calls. In addition to providing the classic DTA use case of injection vulnerability detection, Augur is highly configurable to support any type of taint analysis, making it useful outside of the security domain. We evaluated Augur on a set of 20 benchmarks, and observed a median runtime overhead of only 1.77 ×, a median performance improvement of 298% compared to the previous state-of-the-art.
WebMonitor: Verification of Web User Interfaces

Application development for the modern Web involves sophisticated engineering workflows which include user interface aspects. Those involve Web elements typically created with HTML/CSS markup and JavaScript-like languages, yielding Web documents. WebMonitor leverages requirements formally specified in a logic able to capture both the layout of visual components as well as how they change over time, as a user interacts with them. Then, requirements are verified upon arbitrary web pages, allowing for automated support for a wide set of use cases in interaction testing and simulation. We position WebMonitor within a developer workflow, where in case of a negative result, a visual counterexample is returned. The monitoring framework we present follows a black-box approach, and as such is independent of the underlying technologies a Web application may be developed with, as well as the browser and operating system used.
IDENTIFIKASI KELAYAKAN KARET BAN DENGAN MODEL CNN RESNET-50

In this study, the authors designed an algorithm based on a convolutional neural network that is capable of automatically classifying tire rubber eligibility according to the appearance of the tire on the tire image. The proposed algorithm will be built through several stages as follows. In the first stage, tire image acquisition will be carried out which will be the input of the designed algorithm. Furthermore, the acquired image will be divided into two sets, namely training and testing sets. The training set contains tire images that will be used at the training stage of several convolutional neural network architectures to be able to and classify them to the appropriate level of feasibility. The training phase will be carried out in a number of epohs, and at each epoh, the cross entropy loss function value will be calculated which expresses the performance of the convolutional neural network architecture in classifying tire images.&#x0D; In this study, the author has designed an algorithm based on deep learning that is capable of automatically classifying tire eligibility. The proposed algorithm has been built through several stages such as tire image acquisition, training of several CNN models, especially ResNet-50. The CNN architecture test is trained to classify tire images from the test set. In addition, the accuracy value has also been calculated which shows the percentage of the number of tire images that are successfully classified correctly to the total number of tire images in the test set, which is an accuracy of 88.31%.
External and Internal Factors Influencing the Adoption of Post-Quantum Cryptography in Companies

Quantum computers are on the rise.Their code-breaking capabilities can pose threats to companies' data security.To counteract this, they should implement quantum computersecure cryptography measures as soon as possible.In this regard, post-quantum cryptography measures are likely to be more accessible to many.While deciding on establishing such a new technology in a company, external and internal factors can have an influence.These were sought by means of a literature analysis to help companies with the transition in the future.Three key external influencing factors are customers, government and other companies.While customers mainly trigger pressure through their demand, the government can exert influence through legal regulations or even incentives.Other companies can act as supporters in the joint exploitation of an unknown technology through the exchange of expertise or as motivators to develop a relative advantage over the competition, although competition can also hinder adoption.Three key internal influencing factors are employees, general internal knowledge and management.The expertise of employees in the company or in the market in general can influence successful technology adoption.Internal knowledge and development structures and knowledge built up within the company also have an influence.Another key factor is management, whose attitude can both drive and hinder successful technology adoption.Based on these findings, further investigations, such as the construction of a simulation program, can be carried out in order to support companies in the adoption of quantum computer secure cryptography methods in the future.
The effect of picture and picture learning model on learning outcomes of junior high school madani makassar students

The picture and picture learning model is a learning strategy through the use of image media as learning media which are paired and sequenced logically. This learning model involves students to participate in learning activities that are innovative, creative, and fun. In addition, the picture and picture learning model is to organize the learning experience so that it can be used as a reference or guide for learning designers and teachers in planning teaching and learning activities. This research is an experimental and non PTK research. The data from this study were analyzed through descriptive statistical analysis and independent T-test which were first carried out by the process of normalization and homogenization of data. This study aims to examine the effect of the picture and picture learning model in improving learning outcomes at Madani Junior High School Makassar. The results showed that the picture and picture learning model had a significant influence on the learning outcomes of class VII Junior High School Madani Makassar. This learning model has proven to be effective in providing opportunities for students to work together with fellow students through structured, group tasks, so that open interactions and effective interdependence relationships occur among various group members.
The International scientific and practical conference “Christian values and intercultural interaction”

The International scientific and practical conference “Christian values and intercultural interaction”, June 17–18, 2022.
Subframe filling of word-forming semantics of denumeratives with modification and transposition types of derivation

International scientific conference «Philological sciences and translation studies: European potential» : conference proceedings (November 3–4, 2022. Riga, the Republic of Latvia). Riga, Latvia : «Baltija Publishing», 2022. 344 pages.
The issue of the emotional and social competences improving of students of pedagogical higher educational institution in teaching disciplines of the linguistic cycle (an overview)

International scientific conference «Philological sciences and translation studies: European potential» : conference proceedings (November 3–4, 2022. Riga, the Republic of Latvia). Riga, Latvia : «Baltija Publishing», 2022. 344 pages.
DEVELOPMENT OF RW CHAIRMAN SELECTION APPLICATION WEB USING CODEIGNITER, PHP AND MYSQL FRAMEWORK

E-Voting is the use of computer technology for the implementation of voting. One choice of computer technology used for the implementation of e-voting is to use a client-server architecture. So the use of an all-computer-based-system is expected to replace the manual voting process. The goal to be achieved from making this e-voting application is to be able to assist committee officers in calculating the number of voters and calculating election results quickly and accurately. This application is made using the PHP programming language which is expected to overcome problems related to selection. In making this website, the stages carried out are, preparing the required data, designing the website, designing input and output, followed by the implementation stage of making program coding, the last stage is the trial stage on localhost. Planned trials that set up the application to run properly.
DEVELOPMENT OF INFORMATION SERVICE APPLICATION RT 07 / RW 10 KECAMATAN BEKASI SELATAN KELURAHAN JAKAMULYA WEBSITE BASED USING PHP AND MYSQL

Neighborhood association 07 is a government-recognized community organization and founded because of the wishes of the community. Until now, the activities of reporting, filing, critique and suggestions are carried out by face-to-face meetings, currently in Indonesia and the world is facing a coronavirus outbreak that forces everyone to stay at home and interact with other people avoid. So that the surrounding community becomes difficult to communicate with the ward unit 07 administrator. The purpose of creating this website is to make it easier for the community to communicate with the ward unit 07 without having to meet in person. Creating the Information Services 07 website uses the SDLC (System Development Life Cycle) method. The phases consist of system planning, system analysis, system design, system implementation and system testing. This website is easily accessible to users using a web browser connected to the Internet network at the address http://lanmas07.masuk.id.
Collection Development, Services and Use of Library Resources in Asiatic Society Library, Kolkata: A Study

The name was changed from "The Asiatic Society of Bengal" in 1832 to "The Royal Asiatic Society of Bengal" in 1936.The society's name was finally changed to its current one on July 1, 1951.In Kolkata, the society is located in a building on Park Street.Since 1784
Archipelago Commons: Using the Archipelago and AMI Software to Provide Access to Rensselaer Polytechnic Institute's Engineering Drawings, a Pilot Project

In this paper we examine practical applications of the Archipelago Commons software for science and technology libraries through the lens of a pilot project conducted within the Libraries at Rensselaer Polytechnic Institute in 2021. This pilot project uses Archipelago for data curation, demonstrates Archipelago’s value for sci-tech library applications, and highlights the technology experimentation that occurs during system migrations. The pilot involved deployment of a local installation of Archipelago and use of the Archipelago Multi-Importer (AMI) to create a digital collection of engineering drawings. The pilot results demonstrate the value of Archipelago as a quick and lightweight “app” for any small sci-tech library that wants to showcase their digital collections or needs to quickly replace a legacy system. After this pilot we used the same approach detailed in this paper to migrate all 4,168 images from our old database to Archipelago. We conclude that Archipelago has value to sci-tech libraries and can be scaled to GLAM institutions of any size, with data as simple or robust as necessary for an institution’s local needs.
Use of IT in Information Gathering of Schedule Tribe Researchers: A Study

The paper focuses on the use of Information Technology in Information Gathering of schedule Tribe students in Vidarbha Region.A total of 600 research students selected from the PhD degree programme at the various faculties in the university constituted the population of the study.Through a survey design, questionnaire was administered to gather data from the respondents.Four research questions were developed and answered by the respondents.The results indicated that major information needs of research students at the various faculties were considered for academic purpose and their primary purpose of seeking for information is for their reading activities.
Consortia: A New Trends in Library and Information Science

Any library cannot full fill the total requirement of the reader.It is essential to establish resource sharing among the library to achieve the objectives.The increasing Information demand of the reader, limited financial resources compiled the library Profession to establish 'consortia' concept in the profession.This paper discusses the need, importance, limitation, National and International consortia.Introduction In the professional literature the term 'consortia' cover a great diversity of Cooperation, situation and experiences according to the different contexts and times they Were developed.The ideals and practice of library cooperation were progressively Affirmed during the last century , giving rise to a considerable variety of activities and Organizational form with various names, often related to the most fashionable cultural Trends or suggested by new technologies and innovative models developed in business contexts.
Artificial Intelligence Crimes

The rapid evolution of information and communication technologies and the diversity of interconnection networks have been significant factors in broadening the application do-mains of such technologies. Consequently, so-called artificial intelligence crimes (AIC) have emerged involving a corresponding rise in criminality figures, affecting individuals' rights and freedoms. The emergence of AI-related crimes has triggered many challenges for the judiciary nationally and internationally. Thereby, jurisprudence and the judiciary must consider whether the existing provisions of law are sufficient to confront these crimes, or is there a need to strengthen international, regional, and national legislation to cover such cases. Such peculiarities characterizing AI crimes have complicated dealing with criminal activities, and they are usually dealt with using traditional criminal provisions, which may be compromised by the principle of criminal legality and the limited interpretation of a criminal provision. Accordingly, legislative steps must be taken to combat such crimes by enforcing legal provisions intended to criminalize the newly introduced criminal acts.&#x0D; &#x0D; Received: 31 October 2022 / Accepted: 22 December 2022 / Published: 5 January 2023
The AN IMAGE DENOISING ANALYSIS WITH ITERATIVE HISTOGRAM SPECIFICATION

In any application image denoising is a challenging task because noise removal will increase the digital quality of an image and will improve the perceptual visual quality. In spite of the great success of many denoising algorithms, they tend to smooth the fine scale image textures when removing noise, degrading the image visual quality. To address this problem, in this paper we propose a texture enhanced image denoising method by enforcing the gradient histogram of the denoised image to be close to a reference gradient histogram of the original image. Given the reference gradient histogram, a novel gradient histogram preservation (GHP) algorithm is developed to enhance the texture structures while removing noise. Simulation results show that the proposed method has given the better performance when compared to the existing algorithms in terms of peak signal to noise ratio (PSNR) and mean square error (MSE). To deal with this crisis, on this paper, we endorse a texture more desirable picture denoising process through implementing the gradient histogram of the denoised image to be just about a reference gradient histogram of the long-established snapshot. Given the reference gradient histogram, a novel gradient histogram renovation (GHP) algorithm is developed to enhance the texture buildings while casting off noise. Two neighborhood-founded editions of GHP are proposed for the denoising of pictures including areas with one-of-a-kind textures. An algorithm is also developed to conveniently estimate the reference gradient histogram from the noisy remark of the unknown snapshot. Our experimental outcome display that the proposed GHP algorithm can good retain the feel looks within the denoised graphics, making them appear more normal.