Reviewerly/exHarmony huggingface dataset:
DIRECTIONS OF ADAPTATION OF THE SCIENTIFIC CERTIFICATION SYSTEM IN ACCORDANCE WITH THE NEEDS OF THE NATIONAL ECONOMY

The relevance of the article is due to the low productivity of scientific certification procedures in the higher education system for the branches of the national economy. The purpose is to substantiate the project of transformation of the management mechanism of higher education to improve the quality of scientific certification procedures. The authors analyze methodological approaches to solving the problem and come to the conclusion that it is advisable to differentiate obtaining a degree depending on the goals of the scientist’s subsequent activities, including academic work and professional activity. Obtaining a professional scientific degree will make it possible to bring the competencies formed during the preparation for scientific certification closer to the requirements of employers. A professional academic degree is considered as one of the forms of training highly qualified personnel for the development of research and methodological competencies. The research work on the dissertation is considered as a contribution to the subject area, the research topic is formed in the course of understanding and solving practical problems.
Weighted Minwise Hashing Beats Linear Sketching for Inner Product Estimation

We present a new approach for independently computing compact sketches that can be used to approximate the inner product between pairs of high-dimensional vectors. Based on the Weighted MinHash algorithm, our approach admits strong accuracy guarantees that improve on the guarantees of popular linear sketching approaches for inner product estimation, such as CountSketch and Johnson-Lindenstrauss projection. Specifically, while our method exactly matches linear sketching for dense vectors, it yields significantly lower error for sparse vectors with limited overlap between non-zero entries. Such vectors arise in many applications involving sparse data, as well as in increasingly popular dataset search applications, where inner products are used to estimate data covariance, conditional means, and other quantities involving columns in unjoined tables. We complement our theoretical results by showing that our approach empirically outperforms existing linear sketches and unweighted hashing-based sketches for sparse vectors.
Interactive projection information generation and feedback for reading behaviour

Interactive reading is a new reading behavior in the age of intelligence. The dual-track development of new media and interactive technology has led to changes in both reading behavior and reading experience. This paper has discussed the information generation and information feedback of interactive reading, and analysed the important applications of projection technology, gesture recognition and QR code technology in interactive reading behavior from various projection interaction technologies. Through the development process of the interactive projection of the atlas series named “City Flowers of Beijing”, we aim to demonstrate the design of interactive and sustainable reading forms, deliver the multi-dimensional, multi-level and diversified reading information, create a reading experience that is both physiologically and psychologically satisfactory to the audience in the age of intelligence, and provide a new direction for the development of human-computer reading behavior in the new media age.
Risk Management

AICA represent a unique opportunity to mitigate cybersecurity risks. This is because autonomous intelligent agents can defend a system against cyberattacks with time to detect, response time, and scale of action that are “superhuman,” i.e. with time and scale that would be impossible or impractical if performed by humans alone. However, AICA introduce new types of risks that may be bigger than the risks the agents are intended to mitigate – in other works, the cure might be more harmful than the disease. Here we show the main types of risks introduced by AICA, their potential consequences, as well as strategies to mitigate these risks. Types of AICA-specific risks include erroneous predictions or actions, tampering or coordination failures. The consequences of these risks may be of functional, safety, security, ethical, moral, or fairness nature. Strategies may be categorized in human-centric, software-centric, or based is specific approaches such as simulation. Understanding and controlling AICA-specific risks whenever possible will result in agents that are not only more effective but more trustworthy, since they will be able to perform their cyber-defense functions with minimum risk of causing unintended side effects.
Revisiting the Role of Heterophily in Graph Representation Learning: An Edge Classification Perspective

Graph representation learning aims at integrating node contents with graph structure to learn nodes/graph representations. Nevertheless, it is found that many existing graph learning methods do not work well on data with high heterophily level that accounts for a large proportion of edges between different class labels. Recent efforts to this problem focus on improving the message passing mechanism. However, it remains unclear whether heterophily truly does harm to the performance of graph neural networks (GNNs). The key is to unfold the relationship between a node and its immediate neighbors, e.g., are they heterophilous or homophilious? From this perspective, here we study the role of heterophily in graph representation learning before/after the relationships between connected nodes are disclosed. In particular, we propose an end-to-end framework that both learns the type of edges (i.e., heterophilous/homophilious) and leverage edge type information to improve the expressiveness of graph neural networks. We implement this framework in two different ways. Specifically, to avoid messages passing through heterophilous edges, we can optimize the graph structure to be homophilious by dropping heterophilous edges identified by an edge classifier. Alternatively, it is possible to exploit the information about the presence of heterophilous neighbors for feature learning, so a hybrid message passing approach is devised to aggregate homophilious neighbors and diversify heterophilous neighbors based on edge classification. Extensive experiments demonstrate the remarkable performance improvement of GNNs with the proposed framework on multiple datasets across the full spectrum of homophily level.
Holy Quran Arabic Character Recognition using Neural Networks

Arabic text recognition is one of the most important fields of optical character recognition for Arabic people.Arabic text recognition consider of converting an image of Arabic text into editable format such as doc or pdf.One of its branches is holy Quran text recognition.The key aim of this research is to develop Quran Arabic Recognition System.The study recognises the Arabic text (character) individually .In addition, this study will use Back propagation neural networks for character recognitions.Because of the nature of holy quran the rate of recognition must by extremely high.
Analisis Pola Perilaku Penelusuran Informasi di Kalangan Mahasiswa UINSU

Information seeking behavior is reviewed from the theory of David Ellis 1989 with six forming elements, then refined by Meho and Tibbo in 2003 with ten forming elements of information seeking behavior sequentially namely starting, chaining, browsing, monitoring, accessing, differentiating, extracting , verifying, networking and information managing. This study uses qualitative research with field research. Qualitative research is research that does not use calculations. This qualitative research emphasizes the meaning, reasoning, definition of certain situations (in certain contexts). The qualitative approach is more about the process than the end result. This study resulted that overall the informants agreed to carry out information search activities when they received assignments from their lecturers. In carrying out the information search process, they tend to use electronic sources rather than printed sources. The reason for using electronic sources (Google) in finding information is that it is easy and fast so that when compared to printed sources, they have to go to the library first if the collection of books at home is insufficient.&#x0D; Keywords: Film Search, Information Search, Information Needs
Perilaku Pencarian Informasi Mahasiswa Fakultas Ekonomi Bisnis Islam Tahun 2019 di Perpustakaan UIN Sumatera Utara Medan

This essay discusses how students of the Faculty of Islamic Economics and Business use the State Islamic University of North Sumatra Medan Library in 2019 to find information. The following will be described in this paper: 1) Islamic Business Economics students' methods of information seeking at the Library of North Sumatra State Islamic University Medan; 2) the challenges that came up while trying to find information at the Medan North Sumatra State Islamic University Library; and, thirdly, the means by which these obstacles can be overcome. Data is gathered through questionnaires or surveys. It can be interpreted as follows on the basis of the findings of the research: ( 1) The Islamic Business Economics Department received positive feedback regarding the information-seeking behavior of students in 2019, as well as the obstacles these students encountered when looking for information. a) They do not require any information; b) Submissions must be incomplete; ( c) there is trouble in finding assortments since they are on an alternate rack from the OPAC framework; ( 3) There are ways to get around obstacles when looking for information: a) giving and finishing assortments as per the necessities of understudies and speakers; ( b) Create a collection shelf that is compatible with OPAC search engines to make it simple for users to locate the data they require.&#x0D; Keywords: Information search behavior; Information Needs, Librarians&#x0D;
Research on Promoting Reading in University Libraries in the Era of Artificial Intelligence

With the rapid development of artificial intelligence technology, the reading promotion services of libraries are facing new opportunities and challenges.It is necessary to transform from traditional modes to intelligent modes in order to meet the diversified and personalized reading needs of readers.This article takes demand-oriented approach and explores the implementation path of promoting reading in university libraries in the era of artificial intelligence from four aspects: intelligent resource construction, intelligent information platform construction, training of reading promotion personnel, and creation of intelligent reading promotion services.The aim is to provide reference and inspiration for improving the level and quality of reading promotion services in university libraries.
A Study on Strategies to Enhance Satisfaction with Archival Services in Higher Education Institutions

The widespread use of Internet technology has placed new demands on university archival services.By analysing the satisfaction of archival services in universities, we understand users' needs and evaluation of archival services, and explore strategies to improve the satisfaction of archival services.Through the questionnaire survey and data analysis, it was found that the overall satisfaction of users with archival services is high, but there are still some factors that need to be adjusted and improved so as to enhance the satisfaction of archival users.Accordingly, we propose strategies to improve the scope of archiving in a timely manner, strictly control the quality of archiving, optimize the service platform, simplify the procedures for using archives, strengthen service awareness, enhance service enthusiasm and strengthen service quality.
PENINGKATAN HASIL BELAJAR SISWA DALAM PEMBELAJARAN IPS DENGAN MENGGUNAKAN MIND MAP DI KELAS VI SD NEGERI 15 KAPALOKOTO KECAMATAN SUNGAIPUA

This research is included in classroom action research. The purpose of this study is to improve the process and learning outcomes of social studies by using indmap in students of SD Negeri 15 Kapalokoto, Sungaipua District. Using the Mind Map method in class VI SDN 15 Kapalokoto, Sungaipua District. from the average grade point of 65.76 to 71.92 and when viewed from the achievement of KKM this value has reached KKM. Then in cycle II, the average score of students increased again to 76.90. The score has reached KKM and has reached the target where more than 75% of students obtained scores of more than 70.00. The results of observing student attitudes, from cycle I to cycle II have increased. This is evidenced by increased student learning outcomes. From the description above, it can be concluded that the learning outcomes and activeness of grade VI students of SD Negeri 15 Kapalokoto, Sungaipua District increased by using Minmap in social studies subjects.
Digitalisasi Pengelolaan Pustaka Sekolah

Along with the development of science and the globalization of information that demands the creation of an all-computerized state. At SMA Negeri 4 Tualang, Siak Regency, the process of processing library data to making reports still uses manual bookkeeping. This can cause the process of searching for book data, member data and book borrowing data to take a long time and not to mention if the data is lost so it cannot be used again. Library applications are made according to user needs using the PHP programming language with MySQL database storage and Waterfall modeling. This library application has been tested with the black box method with 100% results then implemented and measured with values and measuring indicators as follows: User Satisfaction = 94%, Data Accuracy = 93%, Speed and convenience = 96%, Application and information security = 93 % and Support = 96%. Thus the digitization of library management is very beneficial for library managers and students as users at SMAN 4 Tualang
Targeted Training for Multi-organization Recommendation

Making recommendations for users in diverse organizations ( orgs ) is a challenging task for workplace social platforms such as Microsoft Teams and Slack. The current industry-standard model training approaches either use data from all organizations to maximize information or train organization-specific models to minimize noise. Our real-world experiments show that both approaches are poorly suited for the multi-org recommendation setting where different organizations’ interaction patterns vary in their generalizability. We introduce targeted training , which improves on standard practices by automatically selecting a subset of orgs for model development whose data are cleanest and best represent global trends. We demonstrate how and when targeted training improves over global training through theoretical analysis and simulation. Our experiments on large-scale datasets from Microsoft Teams, SharePoint, Stack Exchange, DBLP, and Reddit show that in many cases targeted training can improve mean average precision (MAP) across orgs by 10–15% over global training, is more robust to orgs with lower data quality, and generalizes better to unseen orgs. Our training framework is applicable to a wide range of inductive recommendation models, from simple regression models to graph neural networks (GNNs).
The Effect of Economic Conditions and Parental Motivation on Student Achievement

Purpose of the study: This study was to determine whether there is a significant influence between economic conditions and parents' motivation on the learning achievement of fourth grade students at SDN Banyubiru 04.&#x0D; Methodology: Researchers used a quantitative approach with a correlation research design, the research subjects were 30 respondents. Data collection used a questionnaire instrument to obtain data on economic conditions and parents' motivation, learning achievement data was obtained through a document of first semester test report cards&#x0D; Main Findings: Based on the results of observations and discussion, it was found that: (1) The economic condition of the parents of grade IV students at SDN Banyubiru 04 was classified as high 46.66% by 7 respondents. (2) The motivation of parents of fourth grade students at SDN Banyubiru 04 is low, 40%, with 6 respondents. (3) The learning achievement of class IV students at SDN Banyubiru 04 is low at 53.33% for 8 respondents. There is a positive influence so that there is a correlation between economic conditions and parental motivation on student achievement in class IV SDN Banyubiru 04.&#x0D; Novelty/Originality of this study: the researcher recommends for further research in order to be able to conduct similar research with different and varied variables&#x0D;
Digital Literacy on Information and Electronic Transactions in the Student Paradigm of SMAN 2 Koto Pariaman

Digital literacy is widespread and often addresses key issues. To educate students on digital literacy, it is necessary to develop reading skills, read the content carefully, and then use digital literacy to understand the content. This activity aims to improve the digital literacy skills of teenagers, especially at SMAN 2 Koto Pariaman. The formulation of activity forms, activity stages, and evaluation are the three stages that become the method of implementing PKM activities. The assessment results show that the level of understanding of members about continuing education is very high, and they have awareness about the risks involved in the web and virtual entertainment, as shown by the consequences of the poll of 83.3% related to negative substances on the Web. However, the evaluation results showed that the majority of participants only used the internet to communicate, play games, and use social media, so they did not understand digital literacy regarding the use of the internet for science.
Enhancing Adversarial Embedding based Image Steganography via Clustering Modification Directions

Image steganography is a technique used to conceal secret information within cover images without being detected. However, the advent of convolutional neural networks (CNNs) has threatened the security of image steganography. Due to the inherent properties of adversarial examples, adding perturbations to stego images can mislead the CNN-based image steganalysis, but it also easily leads to some errors when extracting secret information. Recently, some adversarial embedding methods have been proposed for improving image steganography security. In this work, we aim at furthering enhance the security of adversarial embedding-based image steganography by exploiting the strong correlation between adjacent pixels. Specifically, we divide the cover image into four non-overlapping parts for four-stage information embedding. During the adversarial embedding process, we cluster the modification directions of adjacent pixels and select only those with relatively larger amplitudes of gradients and smaller embedding costs to update their original embedding costs. Experimental results demonstrate that our proposed method can effectively fool targeted steganalyzers and outperform state-of-the-art techniques under different scenarios.
Navigating Ethical Considerations in Product Reviews: Balancing Authenticity, Compliance, and Brand-Customer Needs

Product reviews have become a crucial part of the buying process in today’s digital age. They help customers make informed decisions before making a purchase by providing valuable insights and opinions. But with product reviews becoming more important, ethical considerations also come into play. The purpose of this chapter is to examine the importance of authenticity and transparency in product reviews and the compliance with advertising and consumer protection regulations. Furthermore, it will highlight the challenges of balancing the needs of brands and customers in product reviews, including the impact of fake reviews on consumer trust and brand reputation. This chapter looks at ethical considerations for product reviews and gives brands, businesses, and consumers advice on how to navigate this changing landscape.
Product Reviews: Analyzing Sentiment, Identifying Trends, and Designing Marketing Strategies

Today, online product reviews have become an essential part of consumer’s decision-making process. It is crucial for businesses to analyze and make sense of the information contained in these reviews, as they can make or break a product or a brand. Product reviews can provide valuable insight into customer sentiments, identify trends and patterns, and ultimately help businesses improve their products and services. The purpose of this chapter is to examine the key concepts and methods for analysing product reviews, including sentiment analysis, trend identification, and the use of reviews to inform marketing strategies. By mastering these skills, businesses will be able to leverage the power of online product reviews to enhance customer satisfaction and increase sales.
Introduction: Managing Product Reviews

Product reviews are all over the internet. Whether you are looking for something online, reading a blog post, watching a video, or on social media, you will probably come across a product review. Product reviews are a form of feedback or opinion provided by customers who have experienced the product or service. They can be written, spoken, or seen, and they can be anything from simple ratings and comments to detailed descriptions and stories.
On the Use of the Power Transformation Models to Improve the Temperature Time Series

The aim of this paper is to select an appropriate ARIMA model for the time series after transforming the original responses. Box-Cox and Yeo-Johnson power transformation models were used on the response variables of two time series datasets of average temperatures and then diagnosed and built the appropriate ARIMA models for each time-series. The authors treat the results of the model fitting as a package in an attempt to decide and choose the best model by diagnosing the effect of the data transformation on the response normality, significant of estimated model parameters, forecastability and the behavior of the residuals. The authors conclude that the Yeo-Johnson model was more flexible in smoothing the data and contributedto accessing a simple model with good forecastability.
Review of Image Encryption Techniques

Today, one of the most important topics of study is security. The image can be transmitted securely using a widely used technique called encryption. Any picture encryption technique aims to create a high- quality hidden image in order to conceal information. This study reviews the protocols and frameworks of various image encryption systems that offer security and privacy. Keywords: Chaos, Arnold Transform, XOR Algorithm.