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Amino-functionalized reduced graphene oxide@MoS2@CoS2 heterostructure as a high-rate anode material for ultralong lifespan sodium–sulfur batteries
No full textA nanocomposite comprising MoS2@CoS2 amino-functionalized graphene (En-RGO) with a two-dimensional structure has been successfully synthesized using a simple self-assembly technique. The resulting cell with a MoS2@CoS2@En-RGO anode and a sulfur cathode exhibits a superior hierarchical architecture that significantly facilitates ion mobility, cell conductivity, and pseudocapacitance. Consequently, this leads to improved rate performance and extended cycle stability in Na-S batteries. Micron-sized CoS2 was synthesized by solvothermal growth of MoS2 nanosheets on its surface. This composite material presents enhanced sodium-ion diffusion kinetics attributed to its heterogeneous interface, reduced ion diffusion pathways and increased exposure of active sites for sodium storage due to its hierarchical nanosheet structure. Additionally, amino functionalized graphene oxide with uniform nitrogen doping could improve electronic conductivity. The cell employing MoS2@CoS2@En-RGO with superior ion mobility and enhanced adsorption energy of Na+ ions achieves a cycle stability of 541.2 mA h g-1 after 1800 cycles. The increased adsorption energy facilitates a more efficient sodiation process at MoS2@CoS2@En-RGO compared to En-RGO. Additionally, the MoS2@CoS2@En-RGO anode demonstrates a capacity retention of 95.8% after 1800 cycles at 1 A g-1. The enhanced mobility of Na ions and the effective adsorption of polysulfide chains in MoS2@CoS2@En-RGO have been examined through DFT calculations, confirming its potential as a promising anode material for the advancement of high-performance Na-S batteries
Consumer rights and stealth marketing: A comparative socio-legal exploration across developed and emerging economies
No full textThis paper discusses the key legal actions taken to address stealth marketing in developed and emerging countries, emphasizing the need for a coordinated global response to deceptive advertising. This study also evaluates the effectiveness of stealth marketing regulations with a comparative legal analysis of enforcement gaps and proposing collaborative solutions to enhance consumer protection worldwide. Using a socio-legal and comparative legal approach, the current study examines the regulatory effectiveness across borders by referring to case laws and enforcement activities. The findings of this study reveal a distinct divide: like developed countries that have stronger laws to ensure advertisement transparency and on the other hand, emerging countries experience of regulatory delays due to weak economic conditions and a lack of awareness among citizens. It is necessary for policymakers and consumers to create effective policies to make global market equitable and stronger. This study also draws practical measures to enhance consumer protection with international collaboration and consumer awareness in this digital era. In conclusion, this research fuels the global discourse on consumer rights, advocating strong and coherent legal structures to address the new and emerging issues of the digital age
Culture, art, technology, and perception: A creative generation model for museum cultural and creative product design
No full textThis study is dedicated to an in-depth exploration of the key elements and internal mechanisms of the creative generation of museum cultural and creative products (MCCPs). Given the fragmented state of previous studies and the lack of a unified framework, this study aims to gain a deeper understanding of the creative process of MCCP design. An exploratory qualitative research method was chosen, with grounded theory as the basic method. From January to May 2024, data was collected from multiple sources. These included interviews with designers, craftsmen, museum staff, and consumers, as well as materials from online newspapers, websites, videos, and exhibitions. Theoretical sampling was adopted. Data collection and analysis were conducted simultaneously until data saturation was reached. To ensure the validity of the study, various triangulation methods were used. This study developed a "Culture-Art-Technology-Perception" model. Cultural heritage, including collection culture, regional culture, and traditional culture, is the basis of creativity. Artistic inspiration from different art forms provides a unique creative perspective. Technological innovation uses new materials and new technologies as carriers to broaden the form of creativity, while consumers' perceptions such as aesthetics, cultural identity, and functional needs guide and modify the creative process. This model expands the research scope of MCCP design creativity generation, clarifies the interaction between various elements, fills the gap in existing research, and provides practical guidance for the design and development of MCCP. Museums and industry practitioners can use this model to explore cultural heritage, integrate new technologies, take into account consumer needs, and promote the sustainable development of the museum cultural and creative industry
Driver and satisfaction in private tutoring: A PRISMA Systematic review
No full textThis systematic review examines satisfaction drivers in private tutoring through PRISMA methodology, analyzing 31 studies from 2015- 2024. The research identifies multiple roles of student satisfaction, including feedback mechanisms, motivation enhancement, and service improvement drivers. Key factors influencing satisfaction include teaching quality, teacher-student relationships, personalized services, facilities, cost, and parental involvement. The study reveals geographical variations in research distribution, with China, UK, and US showing strong contributions. Analysis indicates that secondary education receives the most research attention. The review proposes strategies for enhancing satisfaction, including optimizing teacher management, personalizing learning design, improving resource management, establishing feedback mechanisms, strengthening parent involvement, and implementing flexible scheduling. The study identifies research gaps, particularly in rural areas and longitudinal impacts, and suggests future research directions focusing on socio-economic diversity, holistic student development, and cross-cultural comparisons in tutoring satisfaction
Enhancing Nature Engagement through Mobile Applications: A Technological Approach
No full textIn the recent surge of digitalization, especially in the post-COVID-19 era, people increasingly rely on technology to make their lives more efficient and reliable. While nature offers numerous benefits to humans, nature is often overlooked due to busy lifestyles. As time passes, people who are busy with their economic lifestyles often do not have time to even learn the names of the flora around them. Technology plays a crucial role in how humans interact with nature. By developing an application that could ease gardening and creating a nature-aware community around us, it can encourage people to interact more with nature. Existing nature applications are underused due to poor accessibility and difficult-to-navigate user interfaces. Moreover, none of the existing applications provide insights into plants based on Malaysia's regional and cultural relevance. The purpose of this project is to develop a nature interaction application that emphasizes human-computer interaction principles to enhance navigation for users. The application aims to offer insights into Malaysian flora to provide a localized experience, with Bahasa Malaysia included to increase accessibility for Malaysians. The application also acts as a one-stop shop for gardening tools, which eases human interaction with nature. All these features are made together with offering accessibility as a focus. The completed application was tested to evaluate its efficiency and user-friendliness. To fulfill this purpose, various studies about accessibility, user interface, and experience were made. The application named Nature Connect was developed using the React Ionic framework and backend processes using Python, TensorFlow, and Flask and using plugins such as Google Maps API and Capacitor. The developed application was then evaluated using usability testing metrics of effectiveness, efficiency, and satisfaction to ensure its user-friendliness. The results were 96.4% in terms of effectiveness, 51 seconds per task on efficiency, and 66% on satisfaction
Intelligent reflecting surface backscatter-enabled physical layer security enhancement via deep reinforcement learning
No full textThis article introduces a novel strategy for wireless communication security utilizing intelligent reflecting surfaces (IRS). The IRS is strategically deployed to mitigate jamming attacks and eavesdropper threats while improving signal reception for legitimate users (LUs) by redirecting jamming signals toward desired communication signals leveraging physical layer security (PLS). By integrating the IRS into the backscatter communication system, we enhance the overall secrecy rate of LU, by dynamically adjusting IRS reflection coefficients and active beamforming at the base station (BS). A design problem is formulated to jointly optimize IRS reflecting beamforming and BS active beamforming, considering time-varying channel conditions and desired secrecy rate requirements. We propose a novel approach based on deep reinforcement learning (DRL) named Deep-PLS. This approach aims to determine an optimal beamforming policy capable of thwarting eavesdroppers in evolving environmental conditions. Extensive simulation studies validate the efficacy of our proposed strategy, demonstrating superior performance compared to traditional IRS approaches, IRS backscattering-based anti-eavesdropping methods, and other benchmark strategies in terms of secrecy performance
Sensing in Terahertz Communications for the Sixth-Generation Mobile Technology
No full textThis paper investigates the use of compressed sensing methods in waveform design to enhance transmission efficiency while minimizing free-space path loss (FSPL). It introduces a classification framework tailored for communication and sensing services, considering critical parameters such as data rates, operational frequencies, and latency requirements. Additionally, the research evaluates the potential of integrating Terahertz (THz) sensing into sixth generation (6 G) networks, utilizing the distinctive attributes of THz waves for applications like imaging, spectroscopy, and environmental sensing. The project demonstrated that waveforms developed with compressed sensing techniques improved both data acquisition and reconstruction. Simulation results reveal substantial challenges in THz communication for 6G networks, including significant path losses, atmospheric absorption, and scattering at higher frequencies and over longer distances. Addressing these challenges necessitates advanced technologies—such as high-gain antennas, power amplifiers, and robust error-correcting codes—to ensure reliable communication. These findings are essential for the design and optimization of 6G networks, providing guidance for the development of technologies and infrastructure that can meet the unique demands of THz communication, thereby supporting the ultra-high-speed, low-latency applications envisioned for future networks
Why management papers face rejection? An advanced guide to publish manuscripts in high-impact management journals
No full textResearch in any discipline establishes the groundwork for advancing knowledge, facilitating learning, and solving problems. Management research is conducive to observing the world and decision-making wonders through a novel outlook. Such research is a fabulous tool for addressing emerging topics and challenges for which scientific data cannot be accessible due to budding awareness of the phenomena. Writing and publishing complement each other and require specific technical knowledge to give a final look for publishing a paper in a top-rating journal. Common challenges subvert authors’ efforts to elucidate their understanding and practice. This paper has identified, articulated, and successfully addressed these hurdles to publishing. A trail guide for different components of a typical research paper is also presented by benchmarking the best business, ethics, and management research practices. This study is the first guideline in writing management papers and is conducive to producing high-quality imperative research for scholars
A Hybrid Model Based on Transformer-LSTM for Battery Health Prediction
No full textWith the widespread application of lithium-ion batteries in electric vehicles and energy storage systems, accurate prediction of the State of Health (SOH) and Remaining Useful Life (RUL) of batteries is crucial for improving system reliability and safety. This paper proposes a hybrid deep learning model based on Digital Twin, combining Transformer and Long Short-Term Memory (LSTM) architectures, trained and validated using the public CALCE battery dataset. The model captures the temporal dependencies in battery degradation through LSTM and enhances the extraction of key features by introducing the self-attention mechanism of Transformer, thereby improving the robustness of long-term predictions. The Digital Twin framework enables dynamic interaction between the physical characteristics of the battery and the data-driven model, making the prediction results more closely aligned with real-world aging behavior. Experimental results demonstrate that the proposed hybrid model Transformer-LSTM outperforms traditional methods in battery prediction, reducing the MAE by over 15% while exhibiting strong generalization capabilities under different charge-discharge conditions. This study not only provides a high-precision prediction method for battery health management but also validates the application potential of Digital Twin technology in the field of battery prognostics, offering theoretical support for the optimized design of intelligent battery management systems
A Multimodal Framework for Integrating Motion Capture Monitoring into ASD Screening Utilizing XR Applications
No full textFull-body tracking (FBT) enhances embodiment and motion-based interaction in extended reality (XR), particularly for virtual reality (VR) applications such as those used for autism spectrum disorder (ASD) screening. While Meta Movement Software Development Kit (SDK) provides eye and hand tracking, its estimation-based FBT skeleton conflicts with Open Sound Control (OSC)-based body tracking data, leading to body proportion distortion and misalignment when external trackers like SlimeVR are used. To resolve this, we adopt the Virtual Motion Capture (VMC) protocol skeleton as the primary FBT framework, integrating OSC-based body tracking with OpenXR for head tracking and Meta’s SDK for eye and hand tracking. Multiple custom OSC messages are created by retrieving positional and rotational data from custom input actions, allowing real-time player headspace detection and precise avatar alignment. This approach ensures accurate skeletal proportions and real-time avatar alignment, eliminating reliance on Meta’s prediction-based body tracking. By leveraging custom OSC messages and SlimeVR’s body proportion calibration, the proposed system offers a more stable and precise FBT solution for standalone VR applications