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Design and Comparative Analysis of an Advanced Cryo-Cooling System for HTS Field Coil Performance Evaluation #WorldResearchAwards

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Introduction High-temperature superconducting (HTS) technologies are increasingly recognized as key enablers for next-generation large-capacity rotating electrical machinery due to their superior current density, reduced losses, and compact design potential. A critical challenge in realizing practical HTS-based systems lies in the cryogenic infrastructure required to maintain superconductivity under operational conditions. Performance evaluation systems (PESs) play a vital role in validating HTS field coil behavior; however, conventional cooling approaches impose significant design and operational constraints. This study addresses these challenges by proposing a conduction-cooled PES architecture as an alternative to traditional helium–neon (He–Ne) circulation-based cooling , aiming to enhance thermal efficiency, system simplicity, and adaptability for HTS coil testing. Limitations of Conventional He–Ne Circulation-Based Cooling Helium–neon circulation-based cooling has been widely ...
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Design & Performance Optimization of a Micro Piezoelectric–Electromagnetic Hybrid Energy Harvester for Self-Powered Wireless Sensor Nodes ⚡🔬 #WorldResearchAwards

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Introduction Low-amplitude and low-frequency vibration energy is abundant in natural and industrial environments; however, effectively harvesting this energy remains a major challenge for self-powered wireless sensor nodes . Conventional single-mode energy harvesters, particularly piezoelectric-only systems , suffer from low conversion efficiency under such conditions, limiting their long-term autonomous operation. To overcome these limitations, hybrid energy harvesting approaches that combine multiple transduction mechanisms have gained increasing research attention. This study introduces a micro-scale piezoelectric–electromagnetic hybrid energy harvester designed specifically for low-frequency and low-amplitude vibration environments, aiming to significantly enhance energy capture efficiency through structural integration and systematic parameter optimization using numerical simulations. Coaxial Integrated Hybrid Harvester Architecture The proposed energy harvester adopts a coaxial...
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Best Scholar Award 2026 | Honoring Academic Excellence & Global Research🏆 #WorldResearchAwards

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Introduction The Best Scholar Award is a distinguished recognition that celebrates scholars whose academic excellence , innovative research , and intellectual leadership have significantly advanced global knowledge. Under the Global Particle Physics Excellence Awards , this honor acknowledges individuals who consistently demonstrate originality, rigor, and integrity in their scholarly pursuits. The award serves as a global platform to recognize impactful research contributions that shape scientific progress and inspire future generations. Research Excellence and Scholarly Impact At the core of the Best Scholar Award lies a commitment to outstanding research quality and measurable scholarly impact. Awardees are recognized for producing high-quality research that addresses complex scientific challenges, contributes novel insights, and influences their respective fields. Through peer-reviewed publications , citations, and real-world applications, their work strengthens the foundation of...
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A No-Reference Multivariate Gaussian–Based Spectral Distortion Index for Pansharpened Images | Advanced Image Quality Assessment #WorldResearchAwards

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Introduction Pansharpening plays a crucial role in remote sensing by integrating high-spatial-resolution panchromatic data with lower-resolution multispectral imagery to produce visually rich fused products. Despite its widespread use, pansharpening often introduces spectral distortions that can undermine the reliability of quantitative analyses such as classification, change detection, and biophysical parameter retrieval. Traditional quality assessment approaches, especially full-reference metrics, are limited by the availability of ground truth data, while many no-reference (NR) methods struggle to distinguish spectral distortions from spatial artifacts. This challenge motivates the development of robust NR spectral quality indices tailored specifically for pansharpened imagery. Limitations of Existing No-Reference Quality Metrics Current NR quality assessment methods, including widely used indices such as QNR, primarily focus on global consistency or mixed spatial–spectral pro...
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Feasibility and Optimization of Discrete-Wavelength DOAS for NO₂ Retrieval Using TROPOMI & EMI-II Observations | #WorldResearchAwards

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Introduction Nitrogen dioxide (NO₂) is a key atmospheric trace gas that plays a critical role in air quality, climate forcing , and human health. High-spectral-resolution retrieval techniques provide detailed absorption information but are often constrained by large data volumes, high computational demands, and complex instrument requirements. To overcome these limitations, this study explores a low-spectral-information retrieval strategy aimed at enabling fast, efficient, and reliable atmospheric NO₂ monitoring. By leveraging discrete wavelength sampling instead of continuous high-resolution spectra, the proposed approach seeks to preserve essential absorption features while significantly reducing data and processing burdens. Principle of Discrete-Wavelength Differential Optical Absorption Spectroscopy (DWDOAS) The DWDOAS technique adapts the conventional DOAS framework by selectively sampling a limited number of representative wavelengths rather than using full spectral coverage....
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Effect of Additive Manufacturing Surface Morphology on Dental Cement Adhesion to Zirconia #WorldResearchAwards

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Introduction durable adhesion to zirconia has long been a challenge in restorative dentistry because of zirconia’s chemically inert and non-etchable surface. conventional surface treatments such as polishing and alumina sandblasting rely mainly on limited micromechanical retention and may lead to variability in bonding performance. additive manufacturing (am) introduces a new paradigm by enabling precise control over surface morphology at the design stage itself. by tailoring surface topographies during fabrication, am offers the potential to enhance resin cement interlocking without the need for aggressive post-processing, opening new research directions for reliable zirconia bonding. Additive manufacturing of zirconia surfaces slurry-based 3d printing allows the fabrication of zirconia with customized surface architectures that are difficult or impossible to achieve using subtractive cad/cam methods. in this study, three am-derived surface designs—concave–convex hemispherical ...
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Plasma-Activated Solid Superacid Catalysts for Advanced Esterification #WorldResearchAwards

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Introduction The esterification of α-aromatic amino acids remains a significant challenge due to zwitterionic dissociation , strong intermolecular interactions, and severe steric hindrance . Conventional homogeneous acid catalysts often suffer from corrosion, separation difficulties, and limited efficiency, motivating the development of advanced heterogeneous catalytic systems. In this context, solid superacid catalysts supported on zeolitic frameworks have emerged as promising alternatives, offering strong acidity, structural stability, and reusability. This study focuses on designing an efficient solid superacid catalyst to overcome kinetic and thermodynamic barriers in the synthesis of highly hindered α-amino acid esters. Catalyst Design and Preparation To address these challenges, the solid superacid catalyst SO₄²⁻/TiO₂/HZSM-5 (STH) and its plasma-modified derivative SO₄²⁻/TiO₂/HZSM-5 (STH-RF) were synthesized using an aging–impregnation strategy. The combination of TiO₂ and HZS...
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