Reviewerly/exHarmony huggingface dataset:
E-LEARNING ENVIRONMENT FOR CHILDREN IN REMOTE REGIONS

A The solution for us Mongolians to preserve our nomadic heritage and support children's education is distance e-learning using information and communication technologies. The COVID- 19 pandemic has not only changed the learning and teaching style of many children, parents and teachers around the world, but also the need to reflect on and explore learning environments, programs and methods (Nasanbayar, 2020). UNESCO reported that 91.3 percent of students were unable to participate in classroom learning. In an online environment, even if the educator does not meet the child in person, training can be organized to assess and support the development of the child. Mellow (1996) creative environment in the development of creativity in young children in educational institutions; creative programs; It is noted that the teaching method of a creative teacher is of great importance. Children often express their subconsciousness, desires, feelings and ideas about the world around them in their works, so we chose the visual and creative activity of the kindergarten. In our study, we sought to explore the impact of the environment on children's creativity through classroom visual arts and e-learning. The experiment involved 108 children from 5 preparatory groups of kindergartens in the suburbs of Ulaanbaatar. Analysis of children's work by organizing classes on the topic "Autumn Season" in the classroom and online, taking questionnaires from parents, conducting focus group interviews with teachers, quantitative and qualitative calculation of the results. As a result of the study, it was concluded that during the classroom, the teacher played with the children in the open field, blowing the leaves, which created a real feeling, and in e-learning, the teacher showed his method through video, but it was not possible to create a sense of imagination in children. In the survey, 79.03% of parents from remote areas noted that the Internet speed is insufficient and that they lack digital tools. Thereafter, analyzing the strengths and weaknesses of in classrooms and e-learning resulted in the need for blended and hybrid learning and a need to create e-content that is relevant to course objectives and to have a learning resource base.
Roles and Places of Modern Information Technologies in The Formation of The Information Culture

The article deals with the problem of cultural and information approaches to the formation of information culture of schoolchildren in the context of glabolization and digitalization of education.
Development of Self-Organization of Students in Educational Act Ivities Based on Time Management Technologies

This article discusses management issues in the higher education system, and therefore the process of self-organization of students from the point of view of the structure, content and functional components of self-organization is correct in increasing management efficiency. Self-organization and independent education. Universal competencies included in the State educational standards of higher education, group time management based on the principles of lifelong learning, independent ability to build and implement a trajectory of self-development.
Enhancing Visibility: Multiresolution Dark Channel Prior for Dehazing and Fog Removal in Images

Capturing images in conditions marked by fog or smog results in compromised visual quality, characterized by reduced visibility and contrast. Such limitations impede critical tasks like image segmentation, target detection, and video surveillance within outdoor monitoring systems. This paper presents an effective image defogging algorithm designed to rectify these issues and restore image clarity. In this study, we introduce a method centered around a dark channel prior, a foundational image characteristic preceding the haze removal process. This prior harnesses statistical insights from haze-free outdoor images, revealing a significant finding: numerous set of patches in haze-free images harbor pixels exhibiting remarkably minuscule intensities in more than a single colour channel. Through integration of this algorithm into the imaging model for hazing, the algorithm adeptly estimates haze thickness, thereby facilitating the recovery of high-quality, haze-free images. We take a novel approach enhancing the dark channel prior, and its practical implementation demonstrates promise. By improving visibility and contrast, it has the potential to enhance the performance of outdoor monitoring systems, including video surveillance, in unfavorable weather conditions. Extensive testing underscores the effectiveness of our approach in improving image quality and its utility across various real-world applications.
Intelligent Based System to Identify Malpractice in Assignment/Internals Using Document Comparison Technique

Documents are usually collected for evaluation from students. These documents require extensive scrutiny from instructor in assigning the marks. Document similarity technique can be used for identifying the initial level of malpractice. Proposed model uses three algorithms Jaccard index, TF -IDF and Doc2Vec for identification. Doc2Vec proves to be more accurate that the other two. There is a tradeoff between execution time and similarity index. Results indicate that based on the requirement all the three algorithms can be used. In this paper we have also mentioned the threshold that can be used for identifying malpractice.
El impacto del uso de Scratch para favorecer el pensamiento algorítmico en estudiantes de educación superior

This research work presents the proposal of a technopedagogical intervention strategy aimed at promoting algorithmic thinking. The construct of algorithmic thinking is defined, and the selected technopedagogical strategy is described, which involves the use of the Scratch programming environment to develop algorithmic thinking through an electronic platform. The research was conducted using a quantitative, cross-sectional, and descriptive approach with a pretest-posttest design for a group of 48 students majoring in Computer Systems Administration at the University of Veracruz who were taking the educational experience in Algorithm Design and Implementation. The Wilcoxon test for related samples in SPSS was used to accept or reject the research hypothesis, which allowed for the observation of favorable results in the posttest compared to the pretest, concluding that the use of Scratch contributes to algorithmic thinking skills.
Does the Dependence of Brand Voice on AI Restrict Freedom of Expression in Social Media?

Abstract With the advent of social media and a unique brand voice, brand communications frequently employ artificial intelligence (AI) to facilitate timely interactions across the many channels of communication, and often integrate communications. This research seeks to investigate the influence of an AI-regulated brand voice on the freedom of expression (FOE) when communicating on social media. A qualitative research design is implemented based on content analysis. The research gap was identified by reviewing the role of brand voice using AI, the application of AI to monitor freedom of expression, and the study of integrating FOE in brand voice generation using AI. Various case studies were used to conclude that AI-regulated brand voice has a substantial impact on the freedom of expression on social media, which is frequently governed by privacy rules. This study establishes that a brand’s communication in its social media portfolio is governed by national and international laws that regulate freedom of expression and thus have legal implications. This study suggests that AI must be fed information to prevent content such as hate speech, bullying, and so on, and produce a brand voice with checkpoints for human validation and verification to maintain general societal decorum.
Fusion Architectures for 3D Target Tracking Using IRST and Radar Measurements

Seven different architectures are presented to fuse IRST and radar data to track the target in 3D Cartesian coordinates, with the measurements available in polar coordinates. Performance of these architectures is checked with simulated data. Detailed mathematical expressions are provided which could be useful for algorithm implementation. From this study, it is concluded that CM (Common Measurements) architecture gives state estimates with relatively less uncertainty followed by SVF (State Vector Fusion). IRST gives target states with relatively high uncertainty followed by radar. This shows the necessity of the fusion in tracking system. In all, CM architecture is very simple, easy to implement and can be used in real time.
A Simple Method to Plot Photoelastic Fringes and Phasempas from Finite Element Results

Plotting of photoelastic fringes and phasemaps from Finite Element (FE) results enables whole-field visual comparison with experimental results. There have been studies to plot isochromatic and isoclinic fringe contours and phasemaps from FE results earlier, using special, stand-alone, post-processing software, developed on different platforms. In this paper, to simulate photoelastic fringe contours and phasemaps realistically, a new strategy that uses the standard post-processor functionalities available in a commercial FE package is proposed and validated with experimental results. The simplified approach also comes in handy for visualizing the photoelastic fringe patterns in transient problems.
Tracking of Manoeuvring Target Using Fuzzy Logic Augmented H-Infinity Filter

Conventionally for target tracking, Kalman filter and closely related algorithms are used. These filters inherently are as such not robust. In this paper, fuzzy logic augmented H-infinity filters are proposed for target tracking application. Initially, fuzzy logic is used at filter level to eliminate or reduce local estimation errors and then, an additional fuzzy system is used to minimize effects of outliers and estimation errors during data fusion process. An adaptive H-Infinity filter using fuzzy degree of matching is also proposed for target tracking. The performance of these algorithms is evaluated using MATLAB and its fuzzy logic tool box. Very encouraging results have been obtained with the newly proposed algorithms for target tracking.
HOW TO TEACH PROGRAMMING WITH ELECTRONIC GAMES

This article describes the process of development of electronic games using the programming language Python which aims to focus on upgrading the student's programming skills. This way to learn turns out to be interesting by the fact that using
GRADIENT PATTERN ANALYSIS APPLIED FOR COMPUTER VISION IN MEDICAL ULTRASOUND DIAGNOSIS

This paper describes a new application of the technique known as Gradient Pattern Analysis (GPA), focused here on computer vision. In the GPA domain, the image is translated into a tessellation triangulation field based on the vectors positions that
BUILDING A FACE DATABASE OF ARAB FACES TOWARD EVALUATING BIAS IN FACIAL ANALYSIS SYSTEMS

Machine learning algorithms are fundamentally driven by the data provided by humans consequently, the decisions made by those algorithms are not free from human bias. This is particularly evident in the case of facial analysis systems that employ
Corporate Cyber Security in Turkey Investigation Of Legal and Corporate Infrastructure : A Meta-Synthesis Study

Network technologies, which were created to serve military activities in the early days, have gained a civilized concept Network technologies, which were created to serve military activities in the early days, have gained a civilized concept structure after the cold war period. In this context, the opening of internet technologies to civilian use has also made the use of information networks widespread. The spread of information networks has accelerated the information transformation in the social, commercial, military and cultural fields on a global scale. As an effect of this transformation, individuals and institutions perform almost all of their data storage, data transfer, instant communication and service provision in cyberspace. Although this situation creates advantages in terms of time, cost and energy, it has also brought important risks and security gaps due to the emergence of many attack methods, especially data theft, for cyber security. In parallel with this result, cyber attack methods have increased rapidly over time due to the rapid movement brought about by technological developments and have become a much larger, complicated and difficult to notice structure. Cyber security mechanisms developed to defend against attacks that seriously threaten personal data, such as cyber attacks, are also dynamic, just like cyber attacks. Today, it has become a necessity for every institution to develop and implement effective cyber security methods in order to be protected from cyber attacks and threats by structuring their own information systems in digitalenvironments and to ensure the information and data security they have. Such unstoppable developments in technology result in the emergence of new types of threats to cyber security, just as it has been up to now. In this context, the sustainability and operability of cyber security mechanisms are essential. In the light of all this information, in this study, especially in the corporate field, the methods of activity that threaten cyber security, as well as legal and institutional infrastructures are discussed and the level of current cyber security awareness is tried to be determined. As the application dimension of the research, the format and standards determined by the Presidency Digital Transformation Office in military institutions and EYP-2.0 (Electronic Transformation) in the system in the background Correspondence Package) package examined and a demo of the relevant package program has been created. In addition to these issues, the methods that can be developed within the framework of cyber attacks and defense against these attacks are evaluated. It is foreseen that the study will contribute to the literature in this context and will be a useful resource for institutions and organizations in terms of gaining the functionality and sustainability of cyber security mechanisms. Keywords: Corporate Cyber Security, Legal and Institutional Infrastructures, Risk and Vulnerabilities, Cyber SecurityMechanisms.
The Application and Effect Evaluation of Social Media in Library Information Communication

This paper studies the application and effect of social media in library intelligence communication, including how to release activities and resources, interact with users, and use user-generated content, etc. Meanwhile, the paper introduces the evaluation methods, such as data analysis, user feedback, and success case sharing. The results show that social media can improve communication efficiency, expand audience scope, increase user participation, and enhance library image.Nevertheless, there are hurdles like privacy and security concerns, content management and quality assurance, technical and resource constraints, as well as user reception and involvement. To address these issues and enhance the impact of library intelligence dissemination, this paper suggests various solutions.
User Interface Requirements

With the explosion of so much software that people use in their daily personal and professional lives, the user interface (UI) is absolutely critical to the successful use of that software. However, I must point out that it is also one of the more challenging areas to define requirements. You will see approaches to help overcome this. I will examine what areas to consider as part of UI requirements, consider using existing standards (which we will talk about more in this chapter), and look at how you need to address people with disabilities. First, let us examine what UI requirements are.
The Proper Way to Define Requirements Governance

As I said in the Preface, this is the only new chapter in this edition. While every previous chapter focused on what an RE can and should accomplish, everyone on the project team partakes in requirements governance. As such, this aspect of governance will have as much impact, or lack of success, on the overall project as any single RE or the entire requirements team can have. Let us together help to conquer the problems that requirements can cause, or problems REs must deal with.
Use Cases

Remember, Chapter 12 talked about how Usability.gov provides some good information on use cases. They say that a use case is “a written description of how users will perform tasks on your” system. You are going to spend some more time examining use cases so you can become familiar with them and learn when it is a good time to use them.
How to Collect Requirements

The last eight chapters have spent extensive time defining what requirements to collect. In this chapter, you will learn how to collect them. The amount of time devoted to this approach does not diminish the importance of collecting all the requirements for a system. This chapter will spend a good deal on how best to do this. The simple answer says perform whatever works. Ah, there’s the rub—finding out what way works. Dissertations have been written on this. At its foundation, you have to ask the stakeholders.
Requirements Documents

These are potential requirements document formats you might consider if you need to generate a document. Obviously, if your organization requires one, they may have a template already defined. If so, use it. If you need to craft one but do not have a format, consider the following templates. Some work better for hardware-focused systems, and others are more for software systems. Choose the one that best fits your needs. One will not be recommended here.
User Stories

Why do REs write user stories? That is an excellent question. The answer is that in some circumstances the scope of requirements elicitation is greater than the benefit of collecting and writing shall statement requirements, or a process can be captured in ways more accessible to the users who need to validate the requirements.
The Nelson Memorandum: How two HELIOS members are responding

O n August 25, 2022, the White House Office of Science and Technology Policy (OSTP) issued a memorandum on Ensuring Free, Immediate, and Equitable Access to Federally Funded Research, also known as the Nelson Memorandum, that significantly alters the open scholarship landscape. The new policy guidance advances previous federal policy in a number of impactful ways. The directive applies to all federal agencies, removes the previous 12-month embargo period on article sharing, directs federal agencies to update their policies on data sharing to enable immediate access to the data underlying published studies, expands the definition of publications, calls for agencies to share publication metadata and to require the use of persistent identifiers (PIDs), and more. The Higher Education Leadership Initiative for Open Scholarship (HELIOS) responded right away, convening members for a virtual briefing by Alondra Nelson, who at the time served as deputy assistant to the president and deputy director for science and society of the White House OSTP, and Christopher Marcum, then-assistant director for open science and data policy at the OSTP. Both contextualized the public access guidance within the Biden Administration’s larger priorities and described how climate change, social inequity, and COVID-19 are compelling, real-world examples of the critical and urgent need for release of data. Additionally, the policy is an important part of upholding and supporting research integrity to protect and restore public trust in scholarship, to help keep track of investments, and maintain accountability through a public record. The Nelson Memorandum offers higher education the opportunity to promote equity and transparency in research through public access compliance. However, colleges and universities are responsible for implementing changes (to infrastructure, policies, training, and more) to comply with new and changing requirements.
News from the Field

University of Illinois Library names 15-millionth volume Butler University faculty release new open textbook through PALSave Nominations sought for ACRL Board of Directors JSTOR releases first Path to Open books New from ACRL—Everyday Evidence-Based Practice in Academic Libraries: Case Studies and Reflections ACM announces open access publishing model for International Conference Proceedings Series EBSCO releases 2024 Serials Price Projection Report Oregon libraries take 2023 Federal Depository Library of the Year honors
Exploiting Intrinsic Redundancies in Dynamic Graph Neural Networks for Processing Efficiency

Modern dynamical systems are rapidly incorporating artificial intelligence to improve the efficiency and quality of complex predictive analytics. To efficiently operate on increasingly large datasets and intrinsically dynamic non-euclidean data structures, the computing community has turned to Graph Neural Networks (GNNs). We make a key observation that existing GNN processing frameworks do not efficiently handle the intrinsic dynamics in modern GNNs. The dynamic processing of GNN operates on the complete static graph at each time step, leading to repetitive redundant computations that introduce tremendous under-utilization of system resources. We propose a novel dynamic graph neural network (DGNN) processing framework that captures the dynamically evolving dataflow of the GNN semantics, i.e., graph embeddings and sparse connections between graph nodes. The framework identifies intrinsic redundancies in node-connections and captures representative node-sparse graph information that is readily ingested for processing by the system. Our evaluation on an NVIDIA GPU shows up to 3.5× speedup over the baseline setup that processes all nodes at each time step.
MicroCFI: Microarchitecture-level Control-Flow Restrictions for Spectre Mitigation

Spectre attack exploits the vulnerability in speculative execution, an optimization technique for modern superscalar processors. Among the attack variants, Spectre-BTB and Spectre-RSB are the most threatening because they allow adversaries to execute arbitrary code in the transient execution context. However, there are few mitigation techniques for these Spectre variants due to the high degree of implementation difficulty. In this paper, we propose MicroCFI, a hardware/software co-design approach to mitigate Spectre-BTB and Spectre-RSB. The main idea of MicroCFI is to enforce control-flow integrity (CFI) in microarchitectural level of a program’s execution. Specifically, MicroCFI strictly limits possible forward and backward indirect branch targets predicted by BTB and RSB by imposing CFI properties on all potential targets. As indirect branches only have destinations to valid targets that satisfy these properties, MicroCFI significantly reduces the chance of arbitrary code execution in Spectre attacks. We implemented a prototype of MicroCFI using an LLVM compiler and performed an evaluation on MARSSx86, a simulator for x86 microarchitectures. The security evaluation shows that MicroCFI reduces the number of available Spectre gadgets by more than 90%, significantly increasing the complexity of the attack. The performance evaluation using the SPEC CPU 2017 benchmarks shows that MicroCFI introduces negligible performance overhead.