Reviewerly/exHarmony huggingface dataset:
Virtual Mouse Operations Using Webcam

With new changes seen in computer technology day by day, it has become quite essential for us to find specific new ways of interaction with computer systems as its need is increasing in society every day. Today, every device is making the use of touch screen technology on its systems, which isn't affordable to be used in all applications. A specific interactive module like a virtual mouse that makes use of Hand Tracking and Gestures that will help us to interact can be an alternative way for the traditional touch screen and the physical mouse. The objective is to create a Hand Tracking application that interacts with the system. This system proposed is a Computer Vision-based mouse cursor control system, which uses hand gestures that are being captured from a webcam through a Hand detection technique. This system allows the user to navigate the system cursor using their hand gestures that the computer webcam tracks and perform mouse operations like left- click, right-click, and double click using different hand gestures. Python and OpenCV library are used for real- time computer vision to implement the system. The camera output is displayed on the monitor.
Real-Time Fast Marching Tree for Mobile Robot Motion Planning in Dynamic Environments

This paper proposes the Real-Time Fast Marching Tree (RT-FMT), a real-time planning algorithm that features local and global path generation, multiple-query planning, and dynamic obstacle avoidance. During the search, RT-FMT quickly looks for the global solution and, in the meantime, generates local paths that can be used by the robot to start execution faster. In addition, our algorithm constantly rewires the tree to keep branches from forming inside the dynamic obstacles and to maintain the tree root near the robot, which allows the tree to be reused multiple times for different goals. Our algorithm is based on the planners Fast Marching Tree (FMT*) and Real-time Rapidly-Exploring Random Tree (RT-RRT*). We show via simulations that RT-FMT outperforms RT- RRT* in both execution cost and arrival time, in most cases. Moreover, we also demonstrate via simulation that it is worthwhile taking the local path before the global path is available in order to reduce arrival time, even though there is a small possibility of taking an inferior path.
Introduction to GAMS

One of the most widely used software for mathematical programming is the General Algebraic Modeling System (GAMS). The software is user-friendly and facilitates the process of going from a mathematical statement of the problem to its solution. The main use of GAMS is for optimisation. One of the features that makes the GAMS software easy to use and popular in academic and commercial settings is that the user can provide the mathematical model while GAMS transforms it into representations required by solvers (CPLEX, BARON, and so on).
Performing Ornaments in English Harpsichord Music. Part III

The closer the study of the problems of executing ornaments in England comes to the eighteenth century, the more various scientific materials become available and the more connections are found with the continental countries of Europe. Among the many publications, it was necessary to refer to a large number of instructions books designed for learning to play various instruments, including the harpsichord, such as “The Harpsichord Master”, Playford’s publications of “An Introduction to the Skill of Music” (issued during 1694 and 1730), “The delightful companion, or, Choice new lessons for the recorder or flute” (published by Robert Carr), “The Compleat Tutor to the Hautboy; or the Art of Playing on that Instrument” (published by J. Walsh) and many other. Along with this, the number of publications devoted to the study of this period is constantly increasing in the 20th and 21st centuries. In this article, a task is undertaken devoted, on the one hand, to a comprehensive consideration of the mentioned materials, on the other hand, a critical assessment is devoted to their later scientific study. As a “starting” point the “Short, easy, &amp; plain rules” of Cap. Prendcourt (c1700) supplied with an ornamentation table are taken. The realizations of ornaments from Prendcourt are studied in the context of English, French and German sources of that period. It is namely this angle of study which forced the authors to resort to scrupulous and detailed consideration of the many subtleties associated with the execution of various ornaments.
How can we understand the different effects of UKRI&amp;#8217;s open access policy on small learned societies in the humanities?

The UKRI open access consultation deadline is this Friday and we’re likely to see a flurry of responses leading up to it. One response to the consultation caught my eye today from the Friends of Coleridge, a society that ‘exists to foster interest in the life and works of the poet Samuel Taylor Coleridge and his circle’. I wanted to jot down a couple of thoughts on this because I think it represents something quite interesting about the way that
Autonomous robotic exploration with region-biased sampling and consistent decision making

Abstract In this paper, we propose a scheme for autonomous exploration in unknown environments using a mobile robot. To reduce the storage consumption and speed up the search of frontiers, we propose a wave-features-based rapidly exploring random tree method, which can inhibit or promote the growth of sampling trees regionally. Then, we prune the frontiers with mean shift algorithm and use the pruned frontiers for decision-making. To avoid the repeated exploration, we develop a decision making method with consistency assessment, in which the status of the robot and frontiers are explicitly encoded and modeled as a fixed start open traveling salesman problem (FSOTSP). Furthermore, a re-decision mechanism is build to reduce the extra computing cost. Simulations and real-world experiments show the significant improvement of the proposed scheme.
A Point Scalar Multiplier based on mixed ω-coordinates for Binary Edwards Curves Public-Key Cryptography

이진 에드워즈 곡선 (binary Edwards curves; BEdC) 기반 공개키 암호 시스템을 위한 점 스칼라 곱셈기의 효율적인 설계를 기술한다. BEdC 상의 점 덧셈과 점 두 배 연산의 효율적인 하드웨어 구현을 위해 유한체 연산에 혼합 ω-좌표계를 적용하였으며, 이를 통해 점 스칼라 곱셈의 연산성능을 향상시켰다. 수정된 몽고메리 래더 알고리듬과 dPAD(differential point add and dobling) 연산을 통해 부채널 공격에 대한 내성을 갖도록 했으며, dPAD 연산을 구성하는 유한체 연산의 재배열 최적화를 통해 약 50%의 연산량을 감소시켰다. BEdC 상의 점 스칼라 곱셈기 코어(BEdC_PSM)는 48-비트의 디지트-직렬 이진 곱셈기를 기반으로 5가지 체 크기 (223, 257, 431, 479, 521 비트)를 지원하도록 설계되었다. BEdC PSM 코어는 FPGA 구현을 통해 하드웨어 동작을 검증하였으며, 최대 205 MHz 클록 주파수로 동작 가능하고 223-비트 점 스칼라 곱셈에 약 80㎲가 소요되는 것으로 평가되었다. This paper describes an efficient design of a point scalar multiplier for public-key cryptosystems based on binary Edwards curves (BEdC). For efficient hardware implementation of point addition and point doubling operations on BEdC, a mixed ω-coordinates system is applied to finite field arithmetic, which improves the computational performance of point scalar multiplication. The modified Montgomery ladder algorithm and the differential point addition and doubling (dPAD) operations were adopted to make it resistant to side-channel attacks, and the optimization of finite field operation rearrangements for dPAD calculations resulted in a reduction in computation of about 50%. A BEdC point scalar multiplier core (BEdC_PSM) was designed to support five different field sizes (223, 257, 431, 479 and 521 bits) using a 48-bit digit-to-serial binary multiplier. The BEdC_PSM core was verified for hardware operation with FPGA implementation and was evaluated to operate at clock frequency up to 205 MHz, and it takes approximately 80㎲ for a 223-bit point scalar multiplication.
Generalised Bayesian sample copula of order m

In this work we propose a semiparametric bivariate copula whose density is defined by a piecewise constant function on disjoint squares. We obtain the maximum likelihood estimators of model parameters and prove that they reduce to the sample copula under specific conditions. We further propose to carry out a full Bayesian analysis of the model and introduce a spatial dependent prior distribution for the model parameters. This prior allows the parameters to borrow strength across neighbouring regions to produce smooth posterior estimates. We characterise the posterior distribution via the full conditional distributions. A Metropolis–Hastings step is required and we propose a novel adaptation scheme for the random walk proposal distribution. We implement a simulation study and an analysis of a real dataset to illustrate the performance of our model and inference algorithms.
Challenges in Explaining Brain Tumor Detection

Explanations for AI are a crucial part of autonomous systems: they increase user’s confidence, provide an interpretation of an otherwise black-box system, and can serve as an interface between the user and the AI system. Explanations are to become mandatory for all AI systems influencing people (see, for example, the upcoming EU AI Act). While so far explanations of image classifiers focused on explaining images of objects, such as ImageNet, there is an important area of application for them, namely, healthcare. In this paper we focus on a particular area of healthcare: the use of CNN machine-learning models for cancer detection in MRI brain images. We compare a number of explanation techniques and analyse whether they provide helpful and adequate explanations. We argue that the requirements from explanations in healthcare are different from those for generic images, and that existing explanations techniques fall short in the healthcare domain.
Demonstrating the Integration of Real-World Distractions in Virtual Reality

Abstract. With the proliferation of consumer-level virtual reality (VR) devices, users started experiencing VR in less controlled environments, such as in social gatherings and public areas. While the current VR hardware provides an increasingly immersive experience, it ignores stimuli originating from the physical surroundings that distract users from the VR experience. To block distractions from the outside world, many users wear noise-canceling headphones. However, this is insufficient to block loud or transient sounds (e.g., drilling or hammering) and, especially, multi-modal distractions (e.g., air drafts, temperature shifts from an A/C, construction vibrations, or food smells). To tackle this, in this demonstration, we let participants experience a new approach, in which we directly integrate the distracting stimuli from the user's physical surroundings into their virtual reality experience to enhance presence. Using our novel approach, an otherwise distracting wind gust can be directly mapped to the sway of trees in a VR experience that already contains trees. We demonstrate how to integrate a range of distractive stimuli into the VR experience, such as haptics (temperature, vibrations, touch), sounds, and smells.
Mitigating Adversarial Attacks by Distributing Different Copies to Different Buyers

Machine learning models are vulnerable to adversarial attacks. In this paper, we consider the scenario where a model is distributed to multiple buyers, among which a malicious buyer attempts to attack another buyer. The malicious buyer probes its copy of the model to search for adversarial samples and then presents the found samples to the victim’s copy of the model in order to replicate the attack. We point out that by distributing different copies of the model to different buyers, we can mitigate the attack such that adversarial samples found on one copy would not work on another copy. We observed that training a model with different randomness indeed mitigates such replication to a certain degree. However, there is no guarantee and retraining is computationally expensive. A number of works extended the retraining method to enhance the differences among models. However, a very limited number of models can be produced using such methods and the computational cost becomes even higher. Therefore, we propose a flexible parameter rewriting method that directly modifies the model’s parameters. This method does not require additional training and is able to generate a large number of copies in a more controllable manner, where each copy induces different adversarial regions. Experimentation studies show that rewriting can significantly mitigate the attacks while retaining high classification accuracy. For instance, on GTSRB dataset with respect to Hop Skip Jump attack, using attractor-based rewriter can reduce the success rate of replicating the attack to 0.5% while independently training copies with different randomness can reduce the success rate to 6.5%. From this study, we believe that there are many further directions worth exploring.
ATTITUDE OF HS STUDENTS TOWARDS ACQUISITION OF ESL IN GARHBETA-I BLOCK OF PASCHIM MEDINIPUR DISTRICT

Learners attitude towards second language (L2) predicts their language performance because learners positive attitude helps them to achieve communicative competence in L2 while negative attitude prevents them in achieving. In general opinion, they will perform better in L2 if they shares positive attitude towards second language acquisition (SLA). In order to identify the same, the present study examines the HS learners attitude towards SLA in Garhbeta-I Block of Paschim Medinipur district. To collect data, a self developed questionnaire has been used and administered among the randomly selected HS students of government and government aided schools of Garhbeta-I Block. The data has been analysed by using descriptive statistics and t- test. The study has reflected positive attitude of learners towards SLA and disclosed that no significant differences exist among the learners attitude towards SLA in regards to their gender, streams of learning, educational advantages as first or next generation learners and their economic status of the family. On the basis of statistical analysis, the study thrashes out major findings of the study and discusses few significant implications.
Position statement and considerations for remotely delivered pulmonary rehabilitation services

We are delighted to bring you volume 55, issue 1 for the Journal of the Association of Chartered Physiotherapists in Respiratory Care.It was wonderful to see so many of the ACPRC community in person at our recent conference One team: meeting the challenge through people, practice and policy in April 2023, and the wide-variety of projects being presented.All abstracts accepted for poster or presentation at the conference will be published in a supplementary edition of the journal later this year.This volume starts with Buss et al. who present a service evaluation of a benchmarking project on mobilisation targets following oesophagectomy surgery.There are then two qualitative studies, with Hardy-Bosson et al. exploring perceptions and experiences of adults with neuromuscular disorders and their carers, in relation to airway clearance and respiratory physiotherapy in the community, and Jackson and Gardiner who explore the barriers and facilitators to physical activity, during the COVID-19 pandemic in people living with chronic respiratory disease.The experience from Leicester during the COVID-19 pandemic, in relation to upper-limb specialist input into intensive care, to prevent proning associated complications is then presented by Tunnicliffe et al.The volume also includes an updated position statement and considerations, from the 2021 publication by Gardiner et al. for remotely delivered pulmonary rehabilitation services.There is also a further publication from the ACPRC editorial board with Eden et al., presenting a scoping review on post-operative physiotherapy in people undergoing cardiac surgery.The final piece in the volume is an invited editorial from the outgoing chair of the editorial board Dr. Una Jones, in which she reflects on the work in the editorial board, since its inception in 2019, and the valuable resources and outputs that the board have produced.Many congratulations to Dr. Agnieszka Lewko, in being appointed new chair of the board.As always, we hope that you enjoy reading this issue of the ACPRC journal, and that you are inspired to write-up and submit your work.Please remember that we also provide members with support, through the research champion (research@acprc.org.uk), and as editors, we are very happy to discuss any potential article ideas with you too.We are currently in the process of making changes to the journal, that will make the submission, review and editing processes easier and quicker.We'll also be making changes
Implementation of Electronic Resource Management System: A case study of Central Library, IIT Delhi

The share of electronic resources in library subscriptions has been increasing over a period of time. Academic institutions worldwide spend significant amounts on electronic resources, including e-journals, databases, and eBooks. Global research indicates that the management of electronic resources is very complex, and the workflows associated with them differ from the workflow of print resources. Although electronic resources have been around for almost two decades, librarians are still trying to figure out the most effective way to handle them. The study suggests that many non-compatible stand-alone systems are used to manage electronic resources. Library management systems (LMS) and library services platforms (LSPs) cannot manage electronic resource workflow. Electronic Resource Management Systems (ERMS) can be used to manage electronic resource workflow. However, cost is an important factor in not using commercial ERMS. This study examines the implementation of open-source ERMS CORAL in the Central Library, IIT Delhi. It discusses the steps involved in the implementation stages and the problems faced while implementing the system. It also discusses the features of CORAL. This study also finds improvements in electronic resource management after the implementation of ERMS CORAL. This study will be beneficial for those institutes that are looking for the implementation of CORAL.
Improving Badminton Player Detection Using YOLOv3 with Different Training Heuristic

There has been a considerable rise in the amount of research and development focused on computer vision over the previous two decades. One of the most critical processes in computer vision is "visual tracking," which involves following objects with a camera. Tracking objects is the practice of following an individual moving object or group of moving things over time. Identifying or connecting target elements in consecutive video frames of a badminton match requires visual object tracking. The aim of this study is to identify badminton players using the You Only Look Once (YOLO) technique in conjunction with a variety of training heuristics. This methodology has a few advantages over other approaches to detecting objects. The convolutional neural network and Fast convolutional neural network are two examples of the many algorithmic approaches that are available. In this study, a neural network is used to produce predictions about the bounding boxes and the class probabilities for these boxes.. The results demonstrated that it was far faster than other methods in terms of its ability to recognize the image. The performance of image classification networks significantly improved as a result of the implementation of a variety of training strategies for the detection of objects. The mean average precision score for YOLOv3 with various training heuristics increased from 32.0 to 36.0 as a direct result of these adjustments. In comparison to YOLOv3, our future study might examine the performance of alternative models like Faster R-CNN or RetinaNet.
Smart Contract Broker: Improving Smart Contract Reusability in a Blockchain Environment

In this paper, we propose a smart contract broker to improve the reusability of smart contracts in a blockchain environment. The current blockchain platform lacks a standard approach to sharing and managing smart contracts, which makes it difficult for developers to reuse them and leads to efficiency issues. The proposed smart contract broker uses tags to identify and organize smart contracts, and it provides an environment for comparing and reusing smart contracts. This improves the reusability of smart contracts and efficiency. The proposed smart contract broker can be applied as a reference model that increases the flexibility and reusability of smart contract management in a blockchain environment.
A Study on the Contents of Korean Culture Education in Thailand: Focusing on the Analysis of Secondary school Textbooks and Exam Questions

This study aims to derive implications for Korean culture education in Thailand by grasping the contents of Korean culture education in Thailand and investigating learners' perception of Korean culture. To this end, Korean textbooks for Thai secondary schools and mock tests for university entrance exams were analyzed. As a result, cultural content was organized according to the level of beginner learners, and there were many topics related to middle and high school life in Korea. In the mock test, various cultural items were presented compared to textbooks. The area of food and geography was highly recognized, but the area of history was low. In this regard, learners were also aware of the importance and necessity of learning Korean culture. For cultural education of Korean learners in Thailand, it is necessary to strengthen the expertise of Korean teachers.
BANK CREDITS AND PERFORMANCE OF WOMEN ENTREPRENEURSHIP: EVIDENCE FROM BENUE STATE NIGERIA

This study examined the impact of bank loans on the entrepreneurial performance of women in the Otukpo Local Government Area of Benue State. The study analyzed the impact of collateral requirement, financial information required by banks, and interest rate levied by banks on the entrepreneurial performance of women in Otukpo Local Government Area, Benue State. The study employed a survey design, and a questionnaire was used to collect data. The population of Otukpo LGA consists of 109 female business proprietors. The research employed census sampling. For data presentation and analysis, simple percentages, the mean, and the standard deviation were utilized, while regression analysis was used to test hypotheses. The study found that collateral requirement, financial information required by banks, and interest rate levied by banks have a positive effect on the performance of women entrepreneurs in the Otukpo Local Government Area of Benue State. The study concludes that bank loans have a significant impact on the performance of Benue State women-owned enterprises. The study recommended that the Benue State government implement policies that facilitate SME credit.