Reviewerly/exHarmony huggingface dataset:
Information Access through National Digital Libraries: NDL’s Migrated to Digital Data Centre (DDC) - a Vision for 2050

Digital libraries began just past two decades, different countries cover different subjects, disciplines, designed to fulfil the public needs in the field of arts, culture, engineering, health, science, etc. it is a vital progress role of internet. Internet plays a crucial role in the digital period; every state and central government make official pronouncement online this is a magical development to explore the role of libraries. In the past twenty-three years majority of the national libraries developed their activities to supply the electronic resources for the purpose of research and development. Its start from school children, adult, academicians, researchers, scientists, and public user. For their welfare the digital authorities have been deployed to designed different types of content and create, store, and retrieve in the form of digital repositories, graph, photos, music, film, and other related research data. After the primary role the librarian named as information scientist or specialist, and they push up to integrated with scholarly publications. The large number of books, journals, magazines, research databases, case studies are along with the investor identified as publishers. The publication plays a great role to publish the conference papers, journals, in number of disciplines arts to zoological system and have a joined hands to resolve variety of research issues, challenges associated with digital library networks. The open access digital technologies manage large volumes of resources in digital forms to supply remote access information. The semantic access of social systems converted the businesspeople aims through digital libraries; it may change the words “information is cost” now migrated as “information is free of cost”. So, digital libraries extended to challenge their services to all educational institutions, industries, training centres, courts, government, and private sectors, it covered their total activities through national informatics policy on digital formats. 2040 to 2050 all libraries may be integrated with one network as a Digital Data Centre. These are the next vision and final concept for the world. The third world war not yet been started, it may already be in process, and it begin through DDC, it helps all kinds of micelles to integrated with remote access systems for demolish the world and destroyed to stop the neurons and its domain control of human and animal’s brain. The Chip revolution is started within couples of years, human and animals are controlled and feuded through radio frequency waves. This technology soon adopted to implemented by the DDC. DDC may controlled by every national superior, hence now NDL (renamed DDC) extended to focus their service for new and upcoming challenge to manage research data as well as research output of content services. “Word is giving a life”. Words convert as information; information is changed as injection it may give strength or destroy the energy to kill all livings.
Application of RUP (Rational Unified Process) Method in Optimizing Payment Systems and Processing Student Savings Data

Humans continue to innovate in the field of technology, from these innovations it is expected to meet the needs of human life. In educational institutions the role of administration is very important to improve the education system for the better. One of them is in the educational institution of SMKN 5 Tangerang Regency, where the student administration payment system is not optimal. Because the system has not been integrated in the institution. Where the operator will enter and store data in different files, according to the student administration payments made, as well as in making reports. Guardians of students find it difficult to monitor and know when payments are due and the results of student administration payments. So that it has not been able to simplify and accelerate student services related to the information needed by guardians, and the performance of operators. The researcher uses the RUP (Rational Unified Process) development method and to analyze the problem the researcher uses PIECES (Performance, Information, Efficiency, Control, Economy, Service). The system is made using HTML, CSS, Java script, PHP and MySQL languages ​​as the database. The system modeling uses UML (Unified Modeling Language). The results obtained from the research is a payment system and student savings data processing. So that it can help in student services, make it easier to get information for guardians and also the performance of operators in making payments and processing student savings data, as well as in recapitulation and report generation.
ISLAMIC ARCHITECTURE APPROACH IN MUSLIMAH SPORTS CENTRE’S LAYOUT

Muslimah or women who believe in Islam have various kinds of etiquette restrictions when leaving the house. One of them is etiquette in doing sports. Sports that require active movement, have made it difficult for Muslimah to find public facilities that can accommodate sports without violating Islamic law. According to data, Tambaksari District is a geographically strategic place with the largest Muslim population in Surabaya. This potential supports the existence of the Muslimah Sports Centre in Tambaksari. So that Muslim women will get a sports place that is strategic, comfortable, and safe without male intervention. With mixed research between quantitative and qualitative method, this quantitative research assumes an objective reality and a view of the researcher as independent of the subject of inquiry, while qualitative research involved the study of the use and collection of various empirical materials, which eventually presented the perspective of Muslimah’s experiences. The Muslimah Sports Centre has a big goal of creating a better cultural system for religious behavior by understanding things that have been explained in the Al-Quran and As-Sunnah. Thus, the building will serve not only as a means of sports activities but also as a place for providing Islamic values to the users of the building. For this reason, the design of the Muslimah Sports Centre applies an Islamic architectural approach. Because the aim of this study is to provide an understanding that architecture not only serves as a basic reference for developing buildings and their architectural elements, but it can also provide an understanding and learning about how to behave in accordance with the Qur'an and Sunnah inside the building so that we will not violate Islamic law.
INDEPENDENT WORK OF STUDENTS AS AN IMPORTANT FACTOR OF LEARNING ACCORDING TO THE CREDIT-MODULAR SYSTEM

An important place in the education system is occupied by educational work in credits. It is proposed to adopt the European Credit Transfer System (ECTS) as a basis. The credit-modular organization of the learning process ensures the psychological development of the relationship between the teacher and the student. These relationships contribute to the development of general teaching skills and habits, in addition to the independence of students in the educational process.
TECHNOLOGICAL APPROACH TO EDUCATION AND PEDAGOGICAL TECHNOLOGIES AS A FACTOR OF EFFICIENCY

Today, the incentive to get an education and its content can be a guarantee of the success of the educational process, to put forward the necessary ideas and proposals for the organization of all stages of education on the basis of a modern technological approach, to teach young people to think comprehensively while giving them deep and reasonable knowledge, during the educational process, students dedicated to the formation of students' ability to learn independently, organization of education based on innovative technologies, activation of students in education, optimization of education based on the principles of modern technological approach. In the article, the organization of all stages of education based on a technological approach, teaching young people to think comprehensively while providing deep and reasonable knowledge, forming the ability of students to acquire independent knowledge in the educational process, organizing education on the basis of innovative technologies, activating pupils and students in education, the principles of the technological approach Based on this, the issues of optimization of education are interpreted.
Speech to Text by Using the Sindhi Language

We live in the era of technology, and advancement in technology is growing exponentially. In Pakistan, especially in Sindh, many people prefer to speak than write. People are not well aware of computational and other global languages. So, that's why they face so many difficulties typing and then converting it into the Sindhi language. Especially in offices/organizations where Sindhi is the first language used in speaking and typing. There drafting huge consumes too much time. They face many difficulties such as finding spelling correct words and so on. People with medical deficiencies and disabilities will also get a beneficial source of help from this tool. This tool can handle all these difficulties and solve all the discussed problems. This project aims to develop a web-based application that tries to overcome the disadvantages of the other available applications. The application is generic, meaning it may work solely for a specific regional language speaker in any country in the world. The main objective of the work presented throughout this report is to develop an enterprise and open platform for the nation. We are using the Convolutional Neural Network and API in the development phase. Advance python libraries detect the user's speech, and then the conversion will take one into text.
Edge Networks the Future of Cloud Computing

Computing architecture continues the pendulum swing between centralized and distributed models – driven by technological innovation in CPU/GPU architecture, memory/storage, I/O, networking, performance, and emerging use cases. For a number of years, the most recent architecture has been the cloud-based centralized computing model, which is now shifting to a distributed edge computing model. New businesses, technologies, usage models, and new applications are driving this change. The rapid growth of IoT across all segments of society is driven by 5G, Edge, low-cost sensors, embedded SoC controllers, and new enterprise applications. The impact is more data being generated by these smart sensors, increased demand for storage, data analytics, and network capacity to move this data to adjacent nodes or cloud models. These and other parameters are driving the emergence of the Edge computing model – and there are many Edge types. However, in terms of optimisation and efficiency, these approaches may not be the best solution.
Artificial Neural Network Deep Learning Approach for Phishing Websites Prediction

Phishing is known as one of the oldest forms of Cyber attacks.A phishing website is a domain similar in name and appearance to an official website.They're made in order to fool someone into believing it is legitimate.Today, phishing schemes have gotten more varied, and are potentially more dangerous than before.Artificial intelligence based machine and deep learning techniques is capable to predict the phishing websites.The detection of phishing websites using machine learning can be conducted using machine and deep learning classification technique.This paper presents an artificial neural network based deep learning technique for detection of phishing websites.
Analysis of The Implementation of Directory Listing e-Commerce in Tourism in North Sulawesi Province of Indonesia

Directory listing website is so popular for tourists, and it is being very helpful in terms of information presented mostly for various information regarding the presence of the tourismrelated business and the information needed by tourists such as the feedback gathered from previous customers.While the system offers great benefit to business owners, there are still reluctant in implementing the system in larger scale.Here, we will discuss common problems and their analysis to overcome them.Those common obstackes mostly dealing with human resources adaptation, and straight guidelines for uploading the website.
A Combined Approach of Text Summarization using different Keyword Extraction Techniques

The process of condensing and organizing a longer text is called text summarization.Summarizing lengthy documents, reports, and academic writings can be challenging.Selecting the important sentences and concepts from a text requires using a variety of text summarizing techniques, which reduces the time and effort required to read an entire article.In comparison to other cutting-edge approaches, the combined common extracted keywords employing the most popular techniques (Text Rank, Sentence Score, and Gensim Keyword Extraction) present only the important sentences that are briefer and more similar to human summary.For enhanced output summarization, a combination strategy of these cutting-edge approaches has been proposed in this thesis.
The Open Research Knowledge Graph

Knowledge Graph (ORKG) aiming to describe research papers in a structured manner and make them easier to find and compare.They join Jo on this podcast to give insight into the tool and their organization.The Open Research Knowledge Graph (ORKG) is a tool designed to make research outputs more discoverable and machine-actionable.The ORKG uses a semantic model to represent information and provides structured descriptions of articles, allowing for easier searching and building upon previous research.The tool is currently in English, but efforts are being made to incorporate other languages.Researchers can sign up for an account and add content to the ORKG, which can then be visualized and cited.The ORKG aims to enhance the quality of human life by improving access to scientific knowledge.
Autonomous Anomaly Detection System for Crime Monitoring and Alert Generation

Nowadays violence in society impacts more than any weapon used by people. Over the last few years, autonomous vehicles have been used to observe and recognize the abnormality in the behavior of people and classifying them as a crime or not. Detecting crime on live stream is a classification of any event in a crime or not a crime and generating alerts to designated authorities which in turn can take required actions and ensure the security assessment of the city. Such kind of effective techniques for live video stream processing in computer vision is the need of the hour. There are many techniques that can be used, while Long Short-Term Memory (LSTM) networks and OpenCV provide the most accurate prediction for this task. OpenCV is used for the task of object detection in computer vision which will take the input from either drone or any autonomous vehicle. LSTM is used to classify any event or behavior in crime or not. This live stream is also encrypted for more security. To make this system more secure with the use of a security algorithm. This system uses the Elliptic curve algorithm to protect data from any kind of manipulation.&#x0D; Through its ability to sense its surroundings, an autonomous vehicle is able to operate itself and execute critical activities without the need for human interaction. Video surveillance of computer vision technology can be used to take care of the security of the city by observing the crowd as well as individual activities. Much crowd-based crimes like mob lynching and individual crimes like murder, burglary, terrorism can be protected with advanced deep learning-based Anamoly detection techniques. Machine learning model use dataset for learning is taken from different sources specific for crime detection with the 90% accuracy.&#x0D; &#x0D;
Effect of physical exercise on social adaptability of college students: Chain intermediary effect of social-emotional competency and self-esteem

To explore the relationship between physical exercise and college students' social adaptability, as well as the mediating role of social-emotional competency and self-esteem.One thousand two hundred thirty college students were investigated by physical exercise questionnaire, social-emotional competency scale, self-esteem scale, and social adaptability scale. Data were analyzed by Pearson correlation analysis, structural equation model test and deviation-corrected percentile Bootstrap method.(1) Physical exercise was positively correlated with social adaptability (r = 0.397, p < 0.01), and the direct path of physical exercise on social adaptability was significant (β = 0.397, t = 15.174, p < 0.01). (2) Physical exercise positively predicted social-emotional competency (β = 0.399, t = 15.235, p < 0.01) and self-esteem (β = 0.305, t = 10.570, p < 0.01). Social-emotional competency positively predicted self-esteem (β = 0.130, t = 4.507, p < 0.01) and social adaptability (β = 0.169, t = 6.104, p < 0.01). Self-esteem positively predicted social adaptability (β = 0.189, t = 6.957, p < 0.01). (3) Social-emotional competency and self-esteem play a significant mediating role between physical exercise and social adaptability. The mediating effect includes three paths: physical exercise→social-emotional competency→social adaptability (the mediating effect value: 0.068); physical exercise→self-esteem→social adaptability (the mediating effect value: 0.059). Physical exercise→social-emotional competency→self-esteem→social adaptability (the mediating effect value: 0.010).Physical exercise can not only directly affect social adaptability of college students, but also indirectly affect social adaptability through the independent intermediary role of social-emotional competency and self-esteem. Furthermore, physical exercise also affect social adaptability through the chain mediation of social-emotional competency and self-esteem.
A Bibliometric Analysis of Journal of Scientometric Research Based on Dimensions Database

This paper looks at the impact of recent research progress from 2012 to 2022 and is published in the Journal of Scientometric Research. The Journal of Scientometric Research journal underwent a Bibliometric analysis that turned up 370 articles from the Dimensions AI database between the years of 2012 and 2022. This article has examined a number of variables, including the publication format of the document; the distribution of papers and citations by year; the productivity of the writers, and the most cited work. The results demonstrate that the largest number of papers published in 2020 was 58. The year 2022 saw a maximum of 226 citations. Apparently, this shows that Bidyarthi Dutta and Sujit Bhattacharya have overwhelmed the most useful authors list by contributing 15 and 8 articles.
Implementation of Petri Nets in the Analysis of Pipeline Accidents

This paper aims to demonstrate the implementation of Petri net modeling of the National Environmental Council Resolution, CONAMA, which is responsible for the Emergency Plan, triggered in case of pipeline accidents to identify process characteristics such as fluidity, dynamics, and identify potential bottlenecks and critical stages of the process. The Petri Net is a mathematical representation that can be simulated in software such as PIPE. It was identified through the simulations that the discrete system modeled from the emergency plane is fluid and lively, without any abnormal concentration in places, also called transitions inputs. It has been able to describe the process steps and characteristics in detail and can serve as a basis for future implementation of an algorithm for simulation study and automation project design in this area. It can be concluded that the Petri net has extensive utilization and great implementation potential both in emergency action and in other areas. Using it in the described situation allowed us to identify the crucial points of the emergency plan and analyze it broadly, identifying its main points of activity.
Motion-Frames Based Video Watermarking Scheme for Copyright Protection Using Guided Filtering in Wavelet Domain

Due to the dawn of elevated bandwidth of the internet, there exists an explosion of multimedia data exchange that makes our everyday life extremely easier.With this ease, several security issues also arise named as ownership identification, copyright protection, and illegal access to digital content.This research article proposes a prevailing technique under the scope of video watermarking based on the wavelet transform domain method with the inclusion of an explicit frame filter known as a guided filter for protecting the copyrights.The guided filter is the product of a linear model and considers the resultant image to generate the ultimate filtered output.This filter is significantly accepted for its edgepreservation and detail enhancement characteristics.Thus, the inclusion of a guided filter with the watermarking technique can efficiently confiscate the video frame noise and expresses the descriptive facets of the video object resulting in an enhanced version of the watermarked video frame.Furthermore, the said filter is considered the fastest edgepreserving filter as it exhibits a fast and fairly accurate time algorithm, in spite of the other supportive attributes like the intensity and size of the kernels.Therefore, the outcome of the investigation shows that the video watermarking approach involving wavelet transform embedded with guided filter on motion-frames of the video object is proficient and effective in a range of video watermarking application areas, including copyright protection, ownership identification, video authentication, etc.
A New Method Based on Convolutional Neural Networks and Discrete Wavelet Transform for Detection, Classification and Tracking of Colon Polyps in Colonoscopy Videos

In this study, a new method based on Convolutional Neural Network (CNN), Discrete Wavelet Transform (DWT) and Support Vector Machine (SVM) is presented for polyp detection, classification and tracking during colonoscopy.The proposed method is constructed in 3 parts.1) Detection of polyps with deep learning based Faster R-CNN for detection of polyps 2) Classification of detected polyps by CNN-DWT-SVM.3) Tracking for polyps counting.The proposed method was trained and tested with the Colonoscopy Dataset, a public data set.In the first step of the method, polyp detection was carried out with pre-trained ResNet 50 CNN architecture with 92.6% precision.The regions identified in the second step of the method were classified for four classes adenoma, hyperplastic, lumen, serrated and 94.7% classification accuracy was obtained.With the proposed method, the detection sensitivity of Faster R-CNN was increased from 92.6% to 99.2%, and the accuracy of 95.4% was achieved by using DWT in the classification of polyp classes.In the classification process, 98% correct adenoma, 95% hyperplastic, 90% luminal intestine, 96% serrated polyp were reached.The proposed method reached an average of 94% MOTA in polyp tracking and was able to detect polyp frames with their classes with 99.2% precision.