Reviewerly/exHarmony huggingface dataset:
A Primer on Database Indexing

This chapter introduces the basics of indexing for OLTP databases. We will start with the overall concept of indexing and discuss indexes commonly used by OLTP systems, in particular trees and hash tables. Readers already familiar with these topics may skim and fast forward to later chapters.
Acoustical affordances and challenges with indigenous and orchestral wind instruments

All our orchestral wind instruments evolved over many centuries from indigenous prototypes. The latter were developed using found hollow objects like animal horns for early brass instruments, vulture bones for flutes, and termite-infested eucalyptus branches for the Australian didjeridu. Already over 40,000 years ago, the concept of finger holes was conceived that allowed musicians to play various scales on instruments. During the Rennaissance and early Baroque, wind instrument ranges were extended to 1 1/2 octaves and beyond on a diatonic scale and extended cross-fingering capabilities, but it was during the romantic period that our orchestral instruments reached their final form, with chromatic extended tonal ranges and known well balanced timbral qualities. Built on an industrial scale, these instruments became a commodity without real alternatives for subsequent music styles, including jazz, rock, and classical avant-garde. These styles often sought a new timbral expressiveness that can go beyond the intended design of orchestral instruments. In this paper, it will be discussed how different wind instrument designs offer(ed) unique opportunities for music genres over time and how the original design of indigenous instruments better meets some of the more recent requirements than our commonly used orchestral instruments.
Acoustic cloning

Cloning refers to producing copies of objects that cannot be distinguished from the original based on their behavior or response. Here, we present a general methodology to clone objects that scatter acoustic waves and demonstrate it experimentally. We acquire digital twins and bring them back to life—a simple two-step process. First, we place the scattering object in a circular receiver aperture and insonify it from the outside using simple speakers. From the recorded data, which may be reverberative, we retrieve the object's scattering Green's functions for radiation conditions using a technique called multi-dimensional deconvolution. This process recovers the temporal and spatial bandwidth and removes the scattering interactions with the boundaries of the experimentation domain, if present. In the second step, the acoustic scatterer is removed and reconstructed holographically using the acquired scattering Green's functions. The hologram scatters arbitrary incident wavefields in real-time exactly like the original object. Low-latency feedback enables reproducing all orders of wave interactions between physical scatterers and the numerical hologram. The two-step process is demonstrated by cloning several rigid scatterers in a two-dimensional acoustic waveguide. Applications range from fully realistic digital scattering models to efficient meta-material experimentation. [Work supported by SNSF grant 197182.]
Blockchain-based Auxiliary Systems for Pseudonymization and Consent Management

Stringent privacy regulations, exemplified by the General Data Protection Regulation (GDPR), create intricate challenges for businesses engaged in data sharing. In response to the risk associated with data disclosure and potential legal consequences, this research paper introduces a novel approach. It suggests the adoption of blockchain technology as an auxiliary system for managing consent. Our RSU-CMS consent management systems make use of smart contracts within a private blockchain environment. A new technique is employed to ensure data integrity and compliance with relevant laws. The experiment outlined in this paper provides an end-to-end illustration of the process using true experimental research, while the conclusion addresses the merits and demerits of this approach. Leveraging intelligent encryption, blockchain technology not only ensures anonymity but also enhances security, making it an attractive platform for consent management.
Mobile Interactive Multimedia to Assist Prospective Science Teachers Holding Conceptual Understanding in Problem-Solving Electrical Circuits

This research proposes a mobile interactive multimedia (MIM) system that allows students to interact with various simulations and animations of electrical phenomena and to apply their knowledge to solve problems in electrical circuits. MIM is a tool that enhances the students' conceptual understanding, correcting their misconceptions, and strengthening their problem-solving skills in electrical circuits, according to the students' knowledge type of transition in learning. The MIM was accessible through an Android-based device and was evaluated using a research and development (R&amp;D) method. The Three Tier-Test and Multiple Misconception Revealing Test assessed students' conceptual comprehension and problem-solving ability. The study involved 53 prospective science teachers enrolled in the Electrical and Magnetism course in third-semester; 27 in the experimental group and 26 in the control group. The findings showed that the MIM met the validity, practicality, and effectiveness criteria. Therefore, the MIM was a valid, practical, and effective tool for enhancing the students’ conceptual understanding, correcting their misconceptions, and strengthening their problem-solving skills in electrical circuits, according to the students’ knowledge type of transition in learning.
Coarse-to-Fine Network-Based Intra Prediction in Versatile Video Coding

After the development of the Versatile Video Coding (VVC) standard, research on neural network-based video coding technologies continues as a potential approach for future video coding standards. Particularly, neural network-based intra prediction is receiving attention as a solution to mitigate the limitations of traditional intra prediction performance in intricate images with limited spatial redundancy. This study presents an intra prediction method based on coarse-to-fine networks that employ both convolutional neural networks and fully connected layers to enhance VVC intra prediction performance. The coarse networks are designed to adjust the influence on prediction performance depending on the positions and conditions of reference samples. Moreover, the fine networks generate refined prediction samples by considering continuity with adjacent reference samples and facilitate prediction through upscaling at a block size unsupported by the coarse networks. The proposed networks are integrated into the VVC test model (VTM) as an additional intra prediction mode to evaluate the coding performance. The experimental results show that our coarse-to-fine network architecture provides an average gain of 1.31% Bjøntegaard delta-rate (BD-rate) saving for the luma component compared with VTM 11.0 and an average of 0.47% BD-rate saving compared with the previous related work.
Improving the Retailing Experience of the New Age Information-Seeking Consumers Using QR Code

Shopping your apparels by scanning your friend's clothes sounds bizarre, however QR technology can make it possible. This paper intends to introduce the idea of how QR Codes of shoppable links can be printed on the tags of apparels and can be scanned by the wearer's social group to shop the product anywhere and anytime. The QR technology was developed by an engineer at Denso Wave, a company located in Aichi, Japan. It started as 1D Barcode then progressed to a 2D barcode and now we have multi-coloured, customisable and personalised QR Codes. This technology has a long history. Since QR codes have been around for more than a decade now there is already a considerable share of businesses and brands that have successfully started the use of QR code campaigns. However apparel marketing industry is taking longer than expected to catch up with QR code technology. Today, smartphones come with in-built QR Code Readers, hence it takes only a few seconds to scan the code that lends customers to the product's website. In Scannable marketing, QR Codes have a big future.
Efficient Data Management Strategies for Cloud Computing Environments

Abstract: Cloud computing is rapidly gaining traction in business. It offers businesses online services on demand (such as One drive, iCloud and Google One) and allows them to cut costs on hardware and IT support. Variety of data to be analysed continues to quickly rise as new applications like social network analysis, semantic Web analysis, and bioinformatics network analysis proliferate. The problem of efficiently managing and analysing massive amounts of data is both fascinating and important. There has been a lot of focus on big data lately, from researchers to business leaders to policymakers. From both a technical and practical perspective, this paper presents numerous methods for processing massive amounts of data. We begin by discussing the most important aspects of big data analytics and processing from the perspective of cloud data management and the mechanisms involved in processing large amounts of data. This covers the cloud computing platform, cloud architecture, cloud database, and data storage scheme. It examines the responsibilities of hosting businesses who own and run cloud computing datacentres (like Amazon) with regards to data security and privacy. As an example, it takes into account the fact that many cloud service providers (like Dropbox and Salesforce) really rent out space in the cloud' from larger hosting corporations. And it examines the business and private ‘clouders’ using these services. As we all familiar with cloud computing, it’s not a latest technology, rather we can mention it as an emerging technology where most of the industry is trying to store not only its crucial data for redundancy but also looking for the service management. In that scenario first thing comes in mind is management of data in most efficient way possible.
Sentiment Analysis in the Perspective of Natural Language Processing

Abstract: Sentiment analysis, which is also called opinion mining, is a way to use natural language processing to figure out how someone feels about something written down. It includes reading the text and putting it into one of three groups: positive, negative, or neutral. In this paper we are going to give an overview about Natural Language Processing (NLP) and its subset Sentimental Analysis and how Natural Language Processing (NLP) is used to function the sentiment analysis. Natural language processing (NLP) is a subfield of artificial intelligence or AI—concerned with giving computers the ability to understand text and spoken words in much the same way human beings can. Right now, this is a very popular and new way of doing things because it works so well. In this paper we will explore the different ways NLP can be used for Sentiment Analysis, the challenges to look for and how it can revolutionize marketing strategies of MNCs and improve customer experiences. Sentiment analysis also known as opinion mining, is the process of analyzing digital text to determine if the emotional tone of the message is positive, negative, or neutral. It's common for businesses to use this method to find out and sort people's thoughts on a product, service, or idea. It is an important business intelligence tool that helps companies improve their products and services
Beyond Virtual Horizons: Navigating the Infinite Metaverse Landscape and Unveiling its Real-World Impact

Abstract: The Metaverse, a digital realm where virtual and physical realities converge, has rapidly evolved from science fiction to a transformative force in our ultramodern world. This comprehensive study delves into the heart of the Metaverse, unravelling its intricate layers, implications and groundbreaking operations. Going beyond the conventional explorations of virtual reality and augmented reality, our exploration uncovers new dimensions and paradigms that will reshape industries and societies. Our investigation begins by dissecting the technological underpinnings of the Metaverse, examining the fusion of blockchain, artificial intelligence, decentralized networks and quantum computing that enable its existence. We unravel the intricacies of digital identity, ownership and privacy within this immersive digital landscape, proposing innovative solutions to the challenges that lie ahead. Furthermore, our study scrutinizes the Metaverse's profound impact on various sectors, similar as education, healthcare, entertainment, finance and commerce. We present pioneering use cases, including medical telepresence for remote surgeries, AI-driven immersive learning environments, unveiling new possibilities.
Artificial intelligence (AI) and the 21st Century University: Discussion on a New University Scenary

Introduction: The vertiginous growth of Artificial Intelligence (AI) is present in all fields including the University, implying a rethinking of pedagogical processes that has to be seen from the technoetic to give way to new ways of learning and personalizing learning. Method: this research is of qualitative perspective from the Grounded Theory of systematic design. For the analysis, AI was established as the central category, then open coding was established to give way to axial coding. Phases: 1) theoretical sampling, 2) constant comparison based on axial coding, 3) synthesis and paradigmatic reinterpretation. Results: After the review of the scientific literature reaching theoretical saturation, 3 elements were identified that should accompany the current critical and analytical debate: 1) AI and pedagogy, 2) AI in university educational practice, 3) AI and technoethics. Discussion: there is a need to create knowledge about application, possible impact and effects of AI in the university. Any review on AI should be done from the technoethical to give way to a technodidactics that allows progress towards digital transformation and the promotion of technological humanization. The University must respond to the new scenario presented by AI.
Linking organizational justice and knowledge sharing: An empirical investigation of SMEs in Vietnam

Purpose: The current study aims to investigate the mediating role of Perceived Organizational Support (POS) and Employee Satisfaction (ES) on the relationship between Organizational Justice (OJ) and Knowledge Sharing (KS) in Vietnamese Small and Medium-sized Enterprises (SMEs).&#x0D; Design/Methodology/Approach: The framework and hypotheses were examined using SEM on SPSS and AMOS software to analyse the data after receiving 489 valid responses from 73 SMEs in Vietnam.&#x0D; Findings: Findings confirmed that OJ positively affects POS, ES and KS. POS and ES played a partly mediator role in the relationship between OJ and KS. Moreover, the relationship between POS and KS is mediated by ES.&#x0D; Conclusion: OJ is a crucial and persistent concern for individuals especially within modern organizations. It is one of the key factors shaping the behavior of individual employees. Furthermore, KS behavior is a significant driver of organizational competitiveness and growth. It predicts higher organizational performance, innovation capabilities and fosters a sense of enjoyment and happiness in aiding others. However, most studies have only examined the direct relationship between OJ and KS. Consequently, the methods by which leaders affect people continue to be unclear and mostly hypothetical. Thus, it becomes essential to analyze the empirical impact of OJ on KS by considering the intermediate influence of Perceived Organizational Support (POS) and Employee Satisfaction (ES).&#x0D; Practical Implications: This study provides knowledge about the reality of POS and ES and their mediating role in the relationship between OJ and KS which contributes to enriching the library overall and Vietnamese in particular in this subject.&#x0D; Contribution to the Literature: The mediating effect of POS and ES between OJ and KS is one of the initial topics to be addressed in this study focusing on SMEs.
IN DEFENSE OF A SPECIAL CYBER LAW FOR INDIA

Attempt to unfold the secrets of nature marks the progress of human civilization. With the extreme advancement of science and technology particularly in the field of information science, man can communicate and act in the virtual space. In the 21st century, it is almost impossible to live in this world without depending on cyber space as most of human activities are going to carry out in such space. The flip side of this advancement is the misuse of cyberspace for various purposes in the contemporary world. Cybercrime, different from traditional crime, is a new form of crime committed in cyberspace having swept and widespread impact on human society. Since cybercrime knows no national boundary, all out effort of nation states is required to combat the menace of cyber crime. However, the international community could not able to negotiate and adopt internationally binding legal instrument for preventing and combating cybercrime. On the other hand, nation states including India meet the challenges posed by cyber criminals, which necessitates to enact specific law for preventing and combating cybercrime. The paper attempts to explore national and soft international law that prevents and combats the menace of cybercrime.
A Study on Cyber Crime Awareness among B. Ed Teacher Trainees

Abstract: Technology plays an increasingly significant role in improving access to education for people living in impoverished areas and developing countries. Computers and the internet have offered great benefits to society. More than one third of the world’s total population, had access to the internet. Internet, though offers great benefit to society, however it can also present opportunities for crime using new and highly sophisticated technology tools. Cyber crime is nothing but an emerging and fast growing discipline of crime.
A Multi-Modal Approach for Age and Gender Revelation for Enhanced Voting Systems

Abstract: Humanity has made advancements in innovation pushing the boundaries of what was deemed impossible. With the help of cutting edge technology we can now determine a persons age and orientation by analyzing their image or video footage. This paperprovides an overview of the process including the techniques, strategies and algorithms involved. Unlike methods that treated these aspects separately this approach seamlessly integrates them all. It emphasizes the significance of this breakthrough. Explores its applications, in our daily lives. The main objective of this endeavor is to develop an age and orientation detector that utilizes Convolutional Neural Networks (CNN) and OpenCV to analyze features in images. Furthermore this paper showcases real world scenarios where this technology can be applied. Ranging from security services CCTV surveillance and law enforcement, to dating apps and matrimonial websites. Age and orientation estimations are determined based on image characteristics.
FEATURES OF THE USE OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN THE PROCESS OF TEACHING CHEMICAL DISCIPLINES FOR FUTURE TEACHERS OF NATURAL SCIENCE

The article highlights the peculiarities of the use of information and communication technologies in the process of teaching chemical disciplines for future teachers of natural sciences. The article present the advantages of using Google applications in lectures and practical classes in chemical disciplines, which allow to hold free online video conferences; monitor the level of achievements of higher education students; to plan the educational process of teaching academic disciplines; place educational and methodical materials of disciplines in cloud services; to implement constant communication between the participants of the educational process. Also there`re provided examples of virtual chemistry laboratories with free access, which allow students to develop practical skills in the conditions of mixed or distance learning or the impossibility of performing a laboratory experiment in classroom conditions. The possibilities of the You Tube video storage for virtual study and analysis of laboratory experiments in chemistry were demonstrated. The article consider the advantages of introducing information and communication technologies into the educational process of institutions of higher education, which should meet the following goals: to develop the information and technology competences of future teachers; to increase motivation for implementation of information and communication technologies into the educational process as a modern means of learning; to specify the learning process; to form the ability to independently obtain information and control the learning process; to provide theoretical and practical training of future specialists in the academic discipline. The article present the opinion of students of higher education regarding the introduction of information and communication technologies into the educational process of teaching chemical disciplines, which noting the following positive points: study at a convenient time; constant communication with teachers; quick access to educational and methodical materials posted on the network; a better visual level of presentation of educational information.
Build a Job Application with Django

Abstract: A job portal website is an essential tool for job seekers and employers alike. In today's digital age, having an online presence is more important than ever. Developing a job portal website using Python-Django can provide a robust platform to connect job seekers with potential employers. Python-Django is a powerful and efficient web development framework that can be used to create a feature-rich job portal website. This website can provide job seekers with a user-friendly interface to search, apply, and manage job applications. Employers can benefit from the website's advanced features, such as filtering, sorting, and applicant tracking. Some of the features are User Details are Protected By using encryption technique. Random Forest Regressor algorithm that will help to maximize the placement probability. Automated message services and chatbot will be implemented for the users. User have to register themselves, and then after login, these jobs are displayed to users on the basis of their search keywords.
FAIR Data Digest #22

How I solved data integration performance problems by rewriting SPARQL queries or changing the approach. Food for thought that might help you too!
KELAYAKAN INFOGRAFIS PETA SHELTER UNP SEBAGAI MITIGASI BENCANA GEMPA DAN TSUNAMI

The purpose of this study was to analyze the development process, feasibility and academic community response to the U niversitas Negeri Padang ( UNP ) shelter map infographic as one of the media in earthquake and tsunami disaster mitigation. The method in this study uses the development research method or Research and Development (R&amp;D), in order to produce certain products based on the stages so as to produce a feasible product. The validation test was carried out by design and media experts using validation sheets, then field trials on 20 students. The results showed that: 1) the feasibility of UNP shelter map infographics as one of the media in earthquake and tsunami disaster mitigation with the results of design and media expert validation with a very feasible category of 94.23%, 2) student responses to understanding UNP shelter map infographics as one of the media in earthquake and tsunami disaster mitigation obtained results of 91.66% which can be categorized as easy to understand as one of earthquake and tsunami disaster mitigation.