Reviewerly/exHarmony huggingface dataset:
Capturing Stability of Information Needs in Digital Libraries

Scientific digital libraries provide users access to large amounts of data to satisfy their diverse information needs. Factors influencing users' decisions on the relevancy of a publication or a person are individual and usually only visible through posed queries or clicked information. However, the actual formulation or consideration of information requirements begins earlier in users' exploration processes. Hence, we propose capturing the (in)stability of factors supporting these relevancy decisions through users' different levels of manifestation.
String Matching Algorithm Using Multi-Characters Inverted Lists

This research article introduces a new string-matching algorithm that utilizes the multi-character inverted lists structure, implemented using a perfect hashing method. The new solution processes the pattern input string in a single pass. In the searching phase, the algorithm takes a linear time complexity. This approach demonstrates efficient and rapid performance in practical experiments when a binary character set is used. It also handles fewer characters and shorter lengths, even when the pattern length is increased. In some cases, this algorithm exhibits superior text search performance compared to other algorithms. It has been observed that this superiority is particularly evident when searching for smaller amounts of text. This algorithm can be explored more quickly, especially when the search factor is between 0.25 to 0.75 times the length of the pattern, approaching the performance of the traditional algorithm.
Tindak Pidana Penipuan dalam Media Jual Beli Online

The formulation of this research is the regulation of criminal law for fraud in online buying and selling and forms of criminal liability for fraudulent acts of online buying and selling in Indonesia. This type of research is normative juridical. The approach of this research is the statute approach, and the conceptual approach. Research legal materials include primary, secondary, and non-legal materials. The analysis of legal materials uses a qualitative and comprehensive analysis. The results of the study state that 1) the regulation of criminal law in Indonesia, the crime of buying and selling fraud committed online is contained in Article 28 Paragraph (1) of the ITE Law, but this article is specifically used for online fraud crimes which have characteristics only in buying and selling activities. online, while Article 378 of the Criminal Code can only be used to take action against perpetrators of conventional fraud crimes, 2) a form of criminal responsibility for perpetrators of online buying and selling fraud, namely criminal sanctions based on Article 45 paragraph 2 of the ITE Law.
Measuring turbulence using spatially encoded targets

This paper will propose a new method of measuring path integrated turbulence using Quick Response (QR) codes. The QR turbulence estimation theory will be presented, and results using a normal camera and the Digital Adaptive Optics system under development at the Naval Information Warfare Center Pacific will be explored.
Kryptoverse: A Fully-Fledged Cryptocurrency Transfer Website Based on Web 3.0

In a cryptocurrency wallet, the private and public keys of the blockchain are maintained, but not the real currency values. Customers can send and receive virtual currency/tokens, as well as adjust their balance, using wallets that interface with blockchains. Many investors from the worldwide stock market have recently entered the Bitcoin company because of the cryptocurrency market’s recent overgrowth. The Bitcoin wallet is where users connect and manage their investments and transactions. In this work, cryptocurrency wallet is made that can send Ethereum from one address to another. Users can attach an Ethereum transfer with a specific(unique) message and a graphics interchange format (GIF) that will be unique to that specific transaction that is maintained on the main blockchain network. Smart contracts will be used to carry out the deals. We’ll be using the Robson Test Network, also known as Ethereum Test Net, which is a testing network that uses the same Ethereum protocol as the main network and is used for testing before going live on the main network (Main Net). This is a cryptocurrency react application that provides detailed information about all cryptocurrency and their current rates, as well as the most recent updates based on market fluctuations. We’ll also employ a quick API to acquire the most recent news about various cryptocurrencies, so consumers can receive everything they need to know about a certain cryptocurrency on a single page.
The Benefits of Combining AI and Blockchain in Enhancing Decision-Making in Banking Industry

Artificial intelligence (AI) and blockchain technologies are revolutionizing the banking industry and impacting how banks operate. Not only do these technologies help increase the speed of transactions and reduce security risks, but they can also help financial institutions develop blockchain smart contracts that further enhance digital transactions. AI and blockchain are innovative technologies that pave the way for digital transformation and that will bring about disruptive changes in various industries. Technological innovations such as robotics, cloud technology, and the mobile economy have asserted themselves very quickly in recent years through evolution such as social media and digital identities and have become an important part of the commercial and social economy. The combination of artificial intelligence and blockchain creates what is perhaps the most reliable technology-enabled decision-making system in the world, one that is virtually tamper-proof and delivers robust insights and decisions. This technology enables the exchange of digital information without external users or intermediaries. Utilizing decentralization through blockchain makes digital transactions more secure. Moreover, combining AI and blockchain can contribute to improving cyber security, streamlining financial operations, improving marketing, providing better health care, etc.
Internet of Things and Blockchain in Healthcare: Challenges and Solutions

The Internet of Things (IoT) enables Internet-connected devices to transmit data to private blockchain networks, allowing for the creation of tamper-resistant documents with shareable exchanges. IoT blockchain technology enables you to communicate and connect IoT data with key stakeholders, while avoiding the need for extensive management and control. Each transfer can be checked to ensure there are no disagreements and to build trust in the network. Blockchain technology protects data from being changed, restricts access to Internet-connected devices, and allows vulnerable IoT devices to be shut down. Blockchain encryption eliminates the possibility of someone overwriting existing data records. In addition, storing IoT data on the blockchain adds an extra layer of security, preventing malicious attackers from accessing the system. The many blockchain IoT firms provide significant value in revolutionizing company operations and daily routines. IoT blockchain firms demonstrate the possibility of blockchain and IoT integration. For instance, Helium is a successful blockchain IoT company specializing in securing Internet connections. This chapter presents the vital role of the Internet of Things and blockchain in the healthcare domain. The integration of blockchain technology in the healthcare industry has given us a chance to solve some problems with IoT networks. In recent years, the need for blockchain-enabled IoT transactions has become an essential technology that will change how users share data. A scenario has been developed to enhance this study to analyse the integration, need, and obstacles associated with blockchain-enabled IoT transactions in the healthcare area. As a result, there is also an IoT model designed using devices for hospitals that take into account all of these people and their needs and the office space where they work.
The Impact of Employee Satisfaction, Emotional Intelligence and Organizational Commitment on Marketing Service Quality in Medical Equipment Companies, Bahrain

This study aims to examine the relationship between employee satisfaction, organizational commitment, and emotional intelligence on marketing service quality in Bahrain. The literature review has used previous studies to approve the hypothesis. The data was gathered from 167 respondents. IBM SPSS software was used to analyze the data and tested the hypothesis, after a quantitative research study used for this study as a type of primary data. The result demonstrates that employee satisfaction, organizational commitment, and emotional intelligence were found to have a significant positive relationship with marketing service quality in medical equipment companies in Bahrain. Thus, medical equipment companies in Bahrain can use these results to expand their marketing service quality in campiness. In addition, the finding of this study also provided the medical equipment companies a good preparation and rising strategies to improve the marketing service quality. Finally, the study provides guidance and tools for further actions. This is important to keep the endurance of the medical equipment companies in the global part, however, new strategies for marketing service quality medical equipment companies need to be developed from time to time and it depends on the outcome of this study.
Artificial Intelligence and the Decarbonization Challenge

To help “operators estimate available capacity on the system and plan for future needs,” the European DSO uses AI to analyze data on voltage, load, and grid topology. The DSO was able to employ available and incoming distributed energy resource assets more effectively thanks to AI Similar to this, a German transmission system operator employed AI to produce more accurate grid loss forecasts. AI could be used into both new and existing advanced distribution management systems in the United States (ADMS). The ADMS conducts tasks including “fault location, peak demand management, support for microgrids and electric vehicles,” and is “the software platform that enables the full range of distribution administration and optimization.” Finally, by optimizing end uses, AI can make significant progress in lowering the demand for electricity usage. For instance, Google declared in 2015 that machine intelligence from DeepMind had helped it cut the energy needed to cool its data centers by 40%. Given that the DeepMind project has been contracted to assist in reducing waste in the UK's National Grid, further savings appear possible. More recently, in 2019, Hewlett Packard and the National Renewable Energy Laboratories collaborated to assess how AI may improve the efficiency of their data center operations. Energy efficiency is frequently referred to as the unsung hero of decarbonization because it affects numerous industries and has some of the greatest effects at the lowest prices. Increasing efficiency in many industries can also aid in lowering electricity consumption.
Off the shelf: Investigating transfer of learning using commercially available virtual reality equipment

The evolution of virtual reality (VR) has created the opportunity for a relatively low-cost and accessible method to practice motor skills. Previous studies have demonstrated how motor skill practice in non-immersive virtual environments transfers to physical environments. Though minimal research has investigated motor learning and transfer within immersive VR, multiple experiments provide empirical evidence of positive transfer effects. Most studies have used software engines and modified hardware to enhance the similarities between virtual and physical environments. However, many learners and practitioners currently use commercially available VR intending to enhance real-world performance, though there is very little evidence to support the notion of positive transfer for these systems. Therefore, this experiment aimed to investigate how motor skill practice using a commercially available VR system improved real-world performance and how that compared to physical practice. Participants (n = 68) were randomly selected into one of two groups: virtual reality (VR) practice (n = 33) or real-world (RW) practice (n = 35). The experiment occurred over two consecutive days, with a pretest, posttest, and practice phase occurring each day. The pre- and post-testing phases were identical for both groups and consisted of putting a golf ball 10 times on a carpeted surface towards the center of a target. The practice phases consisted of 60 total putts per day in the respective environment (VR or RW). Participants continuously alternated golf putting holes from three different distances until they accrued 60 total putts. Participants in the RW group performed golf putts to three targets. Participants in the VR group also performed golf putts on three different miniature golf putting holes, using the commercially available Oculus Rift and the Cloudlands VR Minigolf game. The VR putting targets were designed to replicate the putting holes in the physical environment. Separate 2 (group) x 4 (test) repeated measures ANOVAs were used to assess accuracy and club head kinematics. The results revealed a significant main effect for test, but not for group. Post hoc analyses revealed that both groups significantly improved their putting accuracy and club head kinematics at similar rates. The results from this study indicate that the transfer of learning that occurred as a result of practicing in a commercially available VR environment was similarly effective when compared to RW practice.
Hand Gesture-Controlled Wheelchair

The purpose of this article is to design a hand gesture-controlled wheelchair for physically challenged people who have trouble getting from place to place on a daily basis. Physically disabled folks and elderly people depend on other people in today's world. According to studies, there are 6 million people worldwide who are paralysed and rely on wheelchairs for transportation. Previously, anyone had to move and provide external support for the wheel chairs. Many persons with impairments can find their requirements met by conventional manual or motorised wheelchairs, but for certain disabled people, using a wheelchair is challenging or impossible. In-depth research on computer-controlled chairs has extensively used sensors and intelligent control algorithms to minimise the need for human intervention. This concept describes a smart wheelchair for physically challenged people. Our goal is to develop a system that enables successful wheelchair user interaction at multiple control and sensing levels. This dependent system acknowledges using the impaired person's hand gestures, and wheelchair motors are synchronised. A wheelchair can be propelled with the possibility of avoiding obstacles using motors and hand motions. This may be controlled to approach the user from a distance and can be used with both hands. A device based on Arduino, such as the Arduino Nano processor, is used to implement the current task, and it is programmed using the Arduino IDE. To make people independent, we have created a gesture-controlled wheelchair. All that are required are for the user to wear a gesture device with an accelerometer sensor. The wheelchair will travel in the appropriate directions as a result of the sensor picking up the hand's movement in a certain direction.
Movie Recommendation System Using Hybrid Approach

In this digital era, there is enough content on the movie suggestion system already. The customer won’t have to spend a lot of time looking for stuff they could enjoy if movie suggestions are provided. To get user-specific movie suggestions, a recommendation system for movies is also essential. It has been discovered, after conducting extensive online research and consulting a large number of research papers, that the suggestions produced utilising Content-based filtering in order to compare the similarity of the vectors, filtering only employs a single method for text-to-vector conversion. To produce the final recommendation list for this study, the output of various text-to-vector conversion algorithms was altered and employed a variety of text-to-vector conversion strategies. It solely employs the content-based filtering technique, although it may be thought as a hybrid strategy. With the help of movie recommendation systems that employ content-based filtering, these systems can suggest a movie to the viewer depending on the content. People now use movies as a getaway from their hectic life. A big dataset of movies that are accessible globally makes it difficult to pick just one movie, making watching movies more difficult than it has to be. In this work, Heroku deployment has been used to create a recommendation system that used a content-based filtering method. The most common methods for creating recommendation systems are collaborative filtering and content-based filtering. The application may be easily deployed thanks to Heroku deployment.
A Novel Approach to Build Privacy and Trust in Vehicle Sales Using DID

Decentralized identity solutions, built on the concept of Self-Sovereign Identity (SSI), have gained a competitive edge over existing identity management (IM) systems. This paper discusses the significance of decentralized identifier (DID) and verifiable credential (VC) in a peer-to-peer application for selling and managing pre-owned vehicles. The application uses Ethereum’s ERC-1056 lightweight DID standard. We aim to comply with the general data protection regulation (GDPR) requirements of the European Union. We propose implementing JSON Web Tokens (JWT) to store the user encoded information locally and a private interplanetary file system (IPFS) to maintain encrypted and encoded vehicle data information for improved privacy. Additionally, the ERC-721 standard is used to tokenize the vehicle to create the digital twin. Finally, we add the VC to the digital twin of the vehicle to increase the trust in the proposed model. The results demonstrate that our proposed solution offers more trust between the users and privacy of user and vehicle data. Furthermore, we also compute and compare the average cost of user DID creation using ERC-1056 and ERC-725, and the proposed solution is more cost-effective than the existing solutions.
One‐Step Generation of Energy‐Time‐Polarization‐Hyper‐Entangled W‐Class Triphotons: Nonlinear and Linear Optical Responses

Abstract Nonclassical multiphoton have attracted extensive attention to serve as entangled resources for quantum information technology. Here, the continuous‐mode hyper‐entangled W‐class triphotons are theoretically generated through spontaneous six‐wave mixing (SSWM) in 85 Rb. In nonlinear optical response, Zeeman sub‐states are high‐dimensionally quantized by polarized dressing. High‐dimensional entanglement is structured via atomic non‐Hermitian nature. Through linear optical response, the temporal correlations are shaped via diverse polarized dressing. SSWM‐based triphoton is a genuine triphoton possessing non‐Gaussian tripartite entanglement. The high production rate is due to co‐action of three strong input fields, electromagnetically induced transparency (EIT) protection, and slow light effect. Non‐Hermitian nature endows the system with sensitive adjustability around exceptional points (EP). Eventually, the results demonstrate multiple SSWMs causing oscillations with multiple periods in three‐photon temporal correlations for the nonlinear region, build a high‐dimensional three‐body entangled quantum network and transform multifarious profiles of the three‐photon temporal correlations for the linear region. Especially, both high‐dimensional and hyper entanglements are obtained, contributing to high quantum information capacity. Further, the system is switched among multiple states when non‐Hermitian nature is manipulated by polarized dressing. The research opens a broad prospect for generating the hyper‐entangled multiphoton with potential application in adjustable quantum networks of high information capacity.
Self-Attention-Mechanism-Improved YoloX-S for Briquette Biofuels Object Detection

Fuel types are essential for the control systems of briquette biofuel boilers, as the optimal combustion condition varies with fuel type. Moreover, the use of coal in biomass boilers is illegal in China, and the detection of coals will, in time, provide effective information for environmental supervision. This study established a briquette biofuel identification method based on the object detection of fuel images, including straw pellets, straw blocks, wood pellets, wood blocks, and coal. The YoloX-S model was used as the baseline network, and the proposed model in this study improved the detection performance by adding the self-attention mechanism module. The improved YoloX-S model showed better accuracy than the Yolo-L, YoloX-S, Yolov5, Yolov7, and Yolov8 models. The experimental results regarding fuel identification show that the improved model can effectively distinguish biomass fuel from coal and overcome false and missed detections found in the recognition of straw pellets and wood pellets by the original YoloX model. However, the interference of the complex background can greatly reduce the confidence of the object detection method using the improved YoloX-S model.
Spatio‐temporal availability of renewable energy sources for Western Paraná

Abstract The hydroelectric crisis is fomenting studies that seek the decentralization of electric energy generation in Brazil. Due to the climatic dependence on alternative sources, knowing their intermittent behavior is the best way to ensure supply. This article presents an analysis of energy complementarity based on the occurrences of climate variables with precipitation for hydroelectric power, irradiation for photovoltaic, and wind speed for wind power. We aimed to analyze and spatialize the availability of renewable energy sources in western Paraná through historical series (2011 to 2020), statistical analysis (monthly and seasonal), and the use of Geographic Information System (GIS). Daily data records were made available by the Paraná Meteorological Institute (SIMEPAR), referring to eight weather stations throughout the mesoregion. The results identified spatial complementarity for the mesoregion West Paraná. Cascavel city stood out for temporal complementarity, recording the highest values for precipitation in spring and wind speed in winter. In addition, irradiation data excelled in summer for the city of Santa Helena when compared to the other municipalities considered.