FQPWZ9

: Predicting student satisfaction on Metaverse platforms can improve educational effectiveness by analyzing factors like engagement, interaction, and content delivery. The benefits include personalized, immersive learning experiences and real-time feedback. However, the existing schemes suffer from overfitting issues due to highly imbalanced data and fail to generalize to diverse content. To address these limitations, a robust model, Deep High Attention Long Short-Term Memory Forward Harmonic Network (DHA-LSTM-FH Net), is proposed to predict student satisfaction in Virtual Reality (VR) teaching within the Metaverse. The model utilizes data from Metaverse platforms, including virtual spaces, Augmented Reality (AR)/VR devices, learning materials, and student information. Initially, interaction logs from VR sessions and student profiles are collected as input. The data undergoes softmax normalization to ensure consistency. Feature selection is conducted using Recursive Feature Elimination (RFE) and Elastic Net to select the key features. Local Densitybased Synthetic Minority Over-Sampling Technique (LD-SMOTE) is then applied to address data imbalance. Student satisfaction prediction is done by DHA-LSTM-FH Net, which is developed by combining Deep High Attention Neural Network (DHA-Net) and Long ShortDownloaded for personal academic use. All rights reserved. https://papernode.online/ Term Memory (LSTM) using Harmonic Analysis. Experimental results show that the model achieves a precision of 93.765%, a recall of 95.755%, an F1 Score of 94.750%, and a Cohen’s Kappa of 0.838, outperforming baseline methods. However, the model is trained on a specific VR/Metaverse platform, so its performance may drop when applied to different Metaverse setups or content types.

Download PDF: https://tirna.eu.org/fQPWZ9

Ischemic stroke severity and mortality after left atrial appendage closure vs nonwarfarin oral anticoagulants in patients with prior stroke

(Abstract not found)

Download PDF: https://exemples.eu.org/s8wUX1

A secure and efficient identity-based RFID mutual Authentication scheme for IoT using elliptic curve cryptography

Existing ECC-based RFID authentication protocols exhibit vulnerabilities to various attacks. A new ECCbased authentication protocol is proposed to address these issues, ensuring mutual authentication, confidentiality, and resistance to SCA. The proposed protocol minimizes computational time and enhances privacy features without additional calculations. Security and privacy comparisons with existing schemes show the improved protocol’s effectiveness in mitigating threats. The study emphasizes practical implementation and detailed security analysis, highlighting the protocol’s efficiency and security enhancements. Further, it discusses emerging security solutions, including encryption algorithms, secure key exchange protocols, and anomaly detection techniques, t o mitigate potential risks and enhance the overall security posture of IoT and RFID systems. By understanding and addressing these security concerns, organizations and individuals can fully leverage the transformative power of IoT and RFID technologies while safeguarding sensitive data and ensuring the integrity and reliability of interconnected systems. ARTICLE HISTORY Received 1 September 2024 Accepted 4 April 2025 KEYWORDS Internet of things; ECC; RFID; side channel attack; authentication method; AVISPA tool 1. Introduction The Internet of Things (IoT) refers to a connected network of physical objects, devices, and sensors capable of gathering, transmitting, and exchanging data through the Internet. The

Download PDF: https://edgard.eu.org/4S5a7D

International Journal of Biological Macromolecules

(Abstract not found)

Download PDF: https://dhsur.eu.org/PJmOX2

Computers in Biology and Medicine

(Abstract not found)

Download PDF: https://pinan.eu.org/FnbNZP

Control Strategies for Real-Time Aerial Manipulation with Multi-DOF Arms: A Survey

This survey summarizes key control approaches and architectures that reflect the state-of-the-art in aerial manipulation. The central objective is to provide a thorough resource for researchers exploring multirotor configurations suitable for real-time aerial manipulation applications. The focus is on evaluating and comparing prototype systems and their corresponding controller designs, emphasizing real-time implementation, regardless of the number of DOFs of the attached manipulator(s) and of specific applications. The survey groups control methods in three categories based on the specific architecture that is followed: coupled, partially coupled, and decoupled. The metrics used for the comparative study include system configuration, total weight, modeling approach, control archite cture, robustness, implementation complexity, task execution precision, and achieved results (via simulations or experiments).

Download PDF: https://rasmop.eu.org/PkgwRZ

An exploration of the drivers of employee motivation to facilitate value co-creation

Purpose – This paper aims to explore the drivers of employee motivation to facilitate value co-creation. Specifically, it enhances the understanding of social and contextual elements that contribute towards the co-creation of value. Design/methodology/approach – Embracing an interpretive paradigm, the study draws on 57 in-depth interviews together with participant observation field notes. The data were analysed using thematic analysis. Findings – The findings identify six key drivers that motivate employees to facilitate value co-creation: rewards and recognition, opportunities for life-long learning, interpersonal engagement, role responsibility and accountability, organisational vision and social purpose. Research limitations/implications – This study is undertaken wi thin a traditional organisation setting. Other organisational contexts such as working from home should also be considered. Second, this study focused on the individual relational orientations of employees. Also, there is an opportunity to explore the collective orientation of employees. Originality/value – Drawing on service-dominant logic (S-D logic) as a theoretical lens, this study adopts and adapts Lindenberg and Steg’s (2013) goal-framing theory to conceptualise six drivers of employee motivation to facilitate value co-creation within three-goal frames that leads to in-role and extra-role job performance.

Download PDF: https://tirna.eu.org/PLEks2