Reviewerly/exHarmony huggingface dataset:
Methodologies and Handling Techniques of Large-Scale Information in Decision Support Systems for Complex Missions

Designing integrating systems for support, real-time monitoring, and executing of complex missions is challenging, since they often fail due to high levels of complexity and overwhelming volume of input data. Past attempts have resorted to “ad hoc” solutions, which face issues of being non-updatable, non-upgradable, and not applicable to similar missions, necessitating a complete redesign and reconstruction of the system. In the national defense and security sector, the impact of this reconstruction requirement leads to significant costs and delays. This study presents advanced methodologies for organizing large-scale datasets and handling complex operational procedures systematically, enhancing the capabilities of Decision Support Systems (DSSs). By introducing Complex Mission Support Systems (CMSSs), a novel SS sub-component, improved accuracy and effectiveness are achieved. The CMSS includes mission conceptualization, analysis, real-time monitoring, control dynamics, execution strategies, and simulations. These methods significantly aid engineers in developing DSSs that are highly user-friendly and operational, thanks to human-reasoning-centered design, increasing performance and efficiency. In summary, the systematic development of data cores that support complex processes creates an adaptable and adjustable framework in a wide range of diverse missions. This approach significantly enhances the overall sustainability and robustness of an integrated system.
On the Vertex Identification Spectra of Grids

Let [Formula: see text] be a red–white coloring of the vertices of a nontrivial connected graph [Formula: see text] with diameter [Formula: see text], where at least one vertex is colored red. Then [Formula: see text] is called an identification coloring or simply, an ID-coloring, if and only if for any two vertices [Formula: see text] and [Formula: see text], [Formula: see text], where for any vertex [Formula: see text], [Formula: see text] and [Formula: see text] is the number of red vertices at a distance [Formula: see text] from [Formula: see text]. A graph is said to be an ID-graph if it possesses an ID-coloring. If [Formula: see text] is an ID-graph, then the spectrum of [Formula: see text] is the set of all positive integers [Formula: see text] for which [Formula: see text] has an ID-coloring with [Formula: see text] red vertices. The identification number or ID-number of a graph is the smallest element in its spectrum. In this paper, we extend a result of Kono and Zhang on the identification number of grids [Formula: see text]. In particular, we give a formulation of strong ID-coloring and use it to give a sufficient condition for an ID-coloring of a graph to be extendable to an ID-coloring of the Cartesian product of a path [Formula: see text] with [Formula: see text]. Consequently, some elements of the spectrum of grids [Formula: see text] for positive integers [Formula: see text] and [Formula: see text], with [Formula: see text], are obtained. The complete spectrum of ladders [Formula: see text] is then determined using systematic constructions of ID-colorings of the ladders.
Recycling of a quantum field and optimal states for single-qubit rotations

The authors introduce a protocol to generate the electromagnetic field state that is optimal for controlling a given qubit rotation. The protocol, based on the interaction of the field with ancilla qubits, allows for field ``recycling'' and could potentially reduce error rates and improve energy efficiency in quantum computing schemes.
EFEKTIVITAS PENDEKATAN KONSTRUKSIVISME TERHADAP PRESTASI BELAJAR EKONOMI PADA MATERI MODEL DIAGRAM INTERAKSI PELAKU EKONOMI SISWA KELAS X SMA NEGERI 1 ULUSUSUA TAHUN PELAJARAN 2023/2024

This research aims to evaluate the learning achievement of tenth-grade students at SMA Negeri 1 Ulususua in economics subject by comparing the use of constructivism approach with PjBL Model learning. The method employed is quantitative research with a pos-test only control design. The research population consists of 27 tenth-grade students, selected randomly using simple random sampling. Data were collected through written tests and documentation. The tenth-grade class is designated as the experimental class. Data analysis is conducted using the t-test statistical analysis. The research findings reveal that the average post-test score of the experimental class is 80.8, while the control class is 67.6. Using a 5% significance level, the t-table value for df = 60 is 2.02 and 5.756. The analysis results indicate that t calculated &gt; t-table, thus rejecting the null hypothesis. Consequently, there is a significant difference between the use of constructivism and non-constructivism approaches towards the learning achievement of economics among tenth-grade students at SMA Negeri 1 Ulususua in the academic year 2023/2024.
Spatial Transformation Accelerator with Parallel Data Access Scheme for Sample Reconstruction

Spatial image transformation is a commonly used component in many image processing pipelines. It enables the correction of optical distortions, image registration onto a common reference plane, electronic image stabilisation, digital zoom, video mosaicking, etc. With the growing tendency to embed image processing in low-power devices, attaining an efficient transformation solution becomes increasingly decisive. Furthermore, interpolation is the key operation in achieving the high quality of the transformed data from the original data. Fortunately, different implementations have already seen several efficiency improvements in recent years. However, interpolation relies on sampling a set of neighbouring points from memory, which has yet to be addressed efficiently for smaller computational platforms with limited memory resources. In this work, we derive a generic mathematical model and circuit design principles for the spatial transformation accelerator design for N-dimensional data. Furthermore, we present an efficient simultaneous access scheme for high-quality signal reconstruction. Finally, the introduced ideas are verified in field programmable gate arrays using one-dimensional and two-dimensional data transformation use cases. The presented solution is able to transform images with sizes ranging from 256 × 256 to 8192 × 8192 and achieves a transfer rate of 275 frames per second with 512 × 512 images.
Essential Extensions and Injective Hulls of Fuzzy Modules

New Mathematics and Natural ComputationAccepted Papers No AccessEssential Extensions and Injective Hulls of Fuzzy ModulesMargaret I. Doig and D. S. MalikMargaret I. Doig and D. S. Malik Search for more papers by this author https://doi.org/10.1142/S1793005725500231Cited by:0 (Source: Crossref) Next AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail FiguresReferencesRelatedDetails Recommended Accepted Papers Metrics History Received 1 September 2023 Accepted 8 October 2023 PDF download
MENINGKATKAN MOTIVASI BELAJAR PESERTA DIDIK DENGAN MODEL PEMBELAJARAN PAKEM PADA MATERI KETENAGAKERJAAN DI KELAS XI IPS SMA NEGERI 1 O’O’U

The purpose of this study is to describe the learning model PAKEM model can increase the learning motivation of 25 grade XI IPS students of SMA Negeri 1 O’O’U, in the basic competencies of Employment. The results of observations before improving learning in grade XI IPS, in this subject obtained the average student score is ≤ 70 while KKM 70. Based on these conditions, teachers conduct research to improve learning through the PAKEM approach. Therefore, researchers try to implement PAKEM learning strategies, which are learning strategies that can feature active, creative, effective and fun learning. The procedure is used in the form of cycles, each cycle consists of four stages, namely planning, implementation, observation, reflection. This research guideline uses observation instruments and tests of student learning outcomes in each cycle. The results of the study were obtained, there was an increase in student learning motivation in classroom learning. This is proven by the increase in learning outcomes from cycle I to cycle II, namely from an average value of 73.23 (cycle I) to an average value of 85.25 (cycle II).
HYBRID RECOMMENDER FOR VIRTUAL ART COMPOSITIONS WITH VIDEO SENTIMENTS ANALYSIS

Topicality. Recent studies confirm the growing trend to implement emotional feedback and sentiment analysis to improve the performance of recommender systems. In this way, a deeper personalization and current emotional relevance of the user experience is ensured. The subject of study in the article is a hybrid recommender system with a component of video sentiment analysis. The purpose of the article is to investigate the possibilities of improving the effectiveness of the results of the hybrid recommender system of virtual art compositions by implementing a component of video sentiment analysis. Used methods: matrix factorization methods, collaborative filtering method, content-based method, knowledge-based method, video sentiment analysis method. The following results were obtained. A new model has been created that combines a hybrid recommender system and a video sentiment analysis component. The average absolute error of the system has been significantly reduced. Added system reaction to emotional feedback in the context of user interaction with virtual art compositions. Conclusion. Thus, the system can not only select the most suitable virtual art compositions, but also create adaptive and dynamic content, which will increase user satisfaction and improve the immersive aspects of the system. A promising direction of further research may be the addition of a subsystem with a generative neural network, which will create new virtual art compositions based on the conclusions of the developed recommendation system.
Civic Probes: A Method That Embeds Questions of Civic Infrastructure and Participation

research-article Open Access Share on Civic Probes: A Method That Embeds Questions of Civic Infrastructure and Participation Authors: Ian G. Johnson Newcastle University Newcastle UniversitySearch about this author , Vasilis Vlachokyriakos Newcastle University Newcastle UniversitySearch about this author Authors Info & Claims InteractionsVolume 31Issue 2March - April 2024pp 22–27https://doi.org/10.1145/3643057Published:28 February 2024Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteView all FormatsPDF
Imagining Sustainable Futures: Expanding the Discussion on Sustainable HCI

research-article Share on Imagining Sustainable Futures: Expanding the Discussion on Sustainable HCI Authors: Eleonora Mencarini Bruno Kessler Foundation Bruno Kessler FoundationSearch about this author , Valentina Nisi University of Lisbon University of LisbonSearch about this author , Christina Bremer Lancaster University Lancaster UniversitySearch about this author , Chiara Leonardi Bruno Kessler Foundation Bruno Kessler FoundationSearch about this author , Nuno Jardim Nunes University of Lisbon University of LisbonSearch about this author , Jen Liu Cornell University Cornell UniversitySearch about this author , Robert Soden University of Toronto University of TorontoSearch about this author Authors Info & Claims InteractionsVolume 31Issue 2March - April 2024pp 39–43https://doi.org/10.1145/3643493Published:28 February 2024Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Analyzing Breakthrough Infections in a Tertiary Care Hospital: A Retrospective Study Utilizing RAT-Based Screening

Prompt diagnosis of coronavirus disease 2019 (COVID-19) is requisite due to the upsurge of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) cases globally. Real-time reverse-transcription polymerase chain reaction (rRT-PCR) remains as the gold standard for the diagnosis of SARS-CoV-2 due to its higher sensitivity and specificity. Regardless, due to its longer turnaround time and expertise, bed side testing rapid antigen based tests were developed in order for portable, rapid diagnosis of the disease. The present study delineates the utility of Rapid Antigen Testing (RAT) screening among symptomatic and asymptomatic patients in a tertiary care hospital. This is a retrospective data collection study from Indian Council of Medical Research (ICMR) portal by exporting the excel sheet from March 2021 to March 2022 who undergone COVID testing in a tertiary care diagnostics facility. The demographic and vaccination details of the individuals were extracted using ICMR Sample referral form (SRF) from all patients who are tested for RAT. Of the total 9898 patients tested for RAT, 392 and 9506 were vaccinated and unvaccinated, respectively. Among them, number of positives was 3% and 15% respectively. The odds ratio showed that the vaccinated individuals had 81.4% reduced risk of getting infection compared to unvaccinated individuals (OR-0.186; p=0.001). A significant difference was observed between the type of vaccine used and COVID infection, majority of them had taken Covishield (83.5%) followed by Covaxin (16%) [p=0.0005]. Males showed a marginally significant p trend with COVID infectivity (OR=1.114, p=0.073) too. RAT is useful as a screening test for rapid diagnosis of infection in patients who are more prone to spread the disease. As RAT is cost effective and had short-turnaround time, it can be recommended in areas with upsurge in SARS-CoV-2 cases to administer isolation and infection control measures.
”Mobile Technology and Library Services in IITs: A Comprehensive Analysis of North-Indian Libraries”

Providing access to online content through mobile platforms has faced new hurdles as a result of the increasing growth of mobile devices. This study looks into how mobile apps are currently being used in IIT libraries and assesses the effects of using them to enhance library services. The study used a survey methodology using a carefully designed questionnaire to collect data. Five librarians were personally given the questionnaire; all five completed it, yielding a 100% response rate. Descriptive statistics were used to analyse and report the participant replies in tabular format. The study’s findings show that the high demand for library resources has not been adequately met by the use of mobile-based applications to improve library services. Contrarily, the IIT libraries under examination largely provide Wi-Fi services and a small number of mobile-based services, including email notifications, database access, the Ask a Librarian function, and mobile-friendly web-pages. In addition, the research revealed two key challenges to maximising the return on investment (ROI) and implementing mobile library services: a lack of qualified staff and insufficient support from institute authorities. The study suggests that the affected libraries concentrate on creating mobile apps to successfully deliver library services in order to address these problems. Additionally, it is noted that there is a need to update MOPAC, the mobile library instructions, and the current mobile library apps. The study stands out as one of the first attempts to investigate the extent of current mobile technology usage and mobile-based library services at IIT libraries, which are still in the developmental stages. The purpose of the study is to highlight the potential value of mobile-based applications for libraries, provided that LIS professionals are given the proper consideration and assistance in developing and promoting such services. The ultimate goal is to make it possible for consumers to rapidly access and discover library services and collections on their mobile devices, improving accessibility.
Direct drive or slider-crank? Comparing motor-actuated flapping-wing micro aerial vehicles

For flapping-wing micro aerial vehicles, the common approach to converting the rotational motion of a DC motor to the reciprocal flapping motion is using a slider-crank mechanism. However, frictional losses in sliders and rotational joints can hinder the performance of such a system. An alternative is a direct drive system where the wings are directly connected to a DC motor which has been driven by an AC signal. These two approaches are compared in this paper, to evaluate their performances and assess which one provides a better solution for flapping wing micro drones. The electromechanical model of the two systems is used in this paper to compare their performances. System parameters for both types of drones were derived through a multi-variable optimisation process using the same DC motor. The comparisons are made in terms of input power requirement, aerodynamic power, system efficiency and lift. The direct drive model can generate about 16 % higher average lift at 5 V with 50 % lower input electrical power. It has 29 % larger aerodynamic power and the system efficiency is 16.0 % higher than that of the slider-crank model.
Quantum Dueling: An Eﬃcient Solution for Combinatorial Optimization

Abstract In this paper, we present a new algorithm for generic combinatorial optimization, which we term quantum dueling. Traditionally, potential solutions to the given optimization problems were encoded in a "register" of qubits. Various techniques are used to increase the probability of finding the best solution upon measurement. Quantum dueling innovates by integrating an additional qubit register, effectively creating a "dueling" scenario where two sets of solutions compete. This dual-register setup allows for a dynamic amplification process: in each iteration, one register is designated as the "opponent", against which the other register's more favorable solutions are enhanced through a controlled quantum search. This iterative process gradually steers the quantum state within both registers toward the optimal solution. With a quantitative contraction for the evolution of the state vector, classical simulation under a broad range of scenarios and hyper-parameter selection schemes shows that a quadratic speedup is achieved, which is further tested in more real-world situations. In addition, quantum dueling can be generalized to incorporate arbitrary quantum search techniques and as a quantum subroutine within a higher-level algorithm. Our work demonstrates that increasing the number of qubits allows the development of previously unthought-of algorithms, paving the way for advancement of efficient quantum algorithm design.
Design and simulation of a novel AUV with improved mobility and equipment handling capabilities

Robots have become an integral part of dangerous deep-sea exploration and operations. Aiming at the shortcomings of the existing Autonomous Underwater Vehicle (AUV) structure, such as limited equipment, high energy consumption and poor manoeuvrability, an improved method is proposed. This paper proposes an innovative underwater vehicle with a novel structural design that offers significant advantages, including improved manoeuvrability, higher sensitivity and relatively low energy consumption. Through a series of floating, diving and position displacement experiments, it is confirmed that the underwater robot exhibits basic mobility in different degrees of freedom, thus verifying the effectiveness of the improved method. Aiming at the existing problems, the innovative AUV design improves the manoeuvrability and sensitivity, and reduces the energy consumption by improving the shape structure of the AUV, and its effectiveness is verified by experiments.
Dynamical system design of an air-ground amphibious individual unmanned aerial vehicle

At present, most of the individual UAVs<sup>[1]</sup> are mainly flying, and the concealment effect is not good when approaching the enemy in field combat, and it is easy to be found and shot down, and the rotor of the UAV is relatively fragile, and it is also more dangerous to fly in a closed and narrow environment such as indoors. The land-air amphibious individual drone can flexibly switch combat modes, and can carry explosives to conceal itself by changing modes when approaching the enemy in the field. According to a land-air amphibious UAV structure, By establishing the overall dynamical system model, the components of each part of the dynamical system are designed and selected, so that the air mode dynamical system and the ground mode dynamical system can be coordinated and converted, and the specific performance parameters are calculated., and provide a reference for the coordinated design of the ground dynamical system and the air dynamical system of individual UAV in the future.
Online Meta-learned Gradient Norms for Active Learning in Science and Technology

Abstract Acquisition of scientific data can be expensive and time-consuming. Active learning is a solution to reduce costs and time by guiding the selection of scientific experiments. Autonomous and automatic identification of the most essential samples to annotate by active learning can also help to mitigate human bias. Previous research has demonstrated that unlabelled samples causing the largest gradient norms of neural network models can promote active learning in classification. However, gradient norm estimation in regression is non-trivial because the continuous one-dimensional output of regression significantly differs from classification. In this study, we propose a new active learning method that uses meta-learning to estimate the gradient norm of the unlabelled sample in regression. Specifically, we use a separate model to be a selector that learns knowledge from the previous active learning results and is used to predict the gradient norms of unlabelled samples. In each active learning iteration, we estimate and select unlabelled samples with the largest gradient norms to annotate. Our method is evaluated on six regression data sets in various domains, which include costly scientific data.
DGCR: depth graph convolution recommendation algorithm integrating social and residual

Graph neural network technology is widely used in social recommendation system to learn the embedded representation of users and items in the process of user interest graph and user social graph propagation. To solve the existing problems, this paper proposes a depth graph convolution recommendation algorithm (DGCR) that integrates social and residual errors. It uses lightweight graph convolution to carry out convolution propagation for users and items respectively in two graphs about users, and introduces the idea of residual network for deep propagation to prevent over-smoothing. At the same time, a more flexible multi-layer perceptron is used for image fusion to reduce the information gap. Compared with the baseline algorithm on LastFM and Ciao datasets, the experimental results show that DGCR algorithm has a significant improvement in recommendation effectiveness and cold start problems.