#appliedscientists

Smart Agricultural Technology 🌱

Agricultural technology is revolutionizing modern farming through smart machines, precision tools, and data-driven solutions. It helps farmers increase crop yields, reduce resource waste, improve sustainability, and meet growing food demands efficiently. From automation to digital agriculture, innovation is shaping the future of farming worldwide.

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Data-Driven Metrics for Surgical Performance Assessment

This Delphi consensus study establishes standardized, technology-enhanced metrics for evaluating operative performance. Through expert agreement, the TEST framework integrates data analytics, objective performance indicators, and digital assessment tools to improve surgical training quality, benchmarking, and competency-based education.

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!!..Peripheralism in Morocco’s Green Hydrogen Research..!!

This study analyzes Morocco’s green hydrogen research landscape through the lens of scientific peripheralism, examining international collaboration patterns and their alignment with national strategic priorities. It reveals structural dependencies, asymmetrical partnerships, and gaps between research outputs and Morocco’s green hydrogen ambitions, highlighting implications for policy, capacity building, and sustainable energy sovereignty.

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!!..Boundary-Enhanced Few-Shot Medical Segmentation..!!

This work introduces a boundary-extended prototype framework with momentum-based inference to achieve highly accurate few-shot medical image segmentation, even with very limited annotated samples. By enriching class prototypes with spatial boundary cues and stabilizing predictions through momentum inference, the method significantly improves segmentation consistency and edge precision across diverse medical imaging modalities.

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!!..Digital Biohydrogen Microbiome Design..!!

This work explores the integration of artificial intelligence, biotechnology, and computational modeling to engineer high-performance microbiota capable of efficient biohydrogen production. By combining digital twin simulations, genomic optimization, and predictive machine-learning algorithms, the study accelerates the design, selection, and monitoring of microbial consortia tailored for sustainable hydrogen generation. The approach enhances yield, stability, and process scalability, offering a transformative pathway for clean energy innovation.

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!!..GA–PSO Based Reactive Power Optimization in Western Algeria..!!

This study applies Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) techniques to achieve optimal control of reactive power in the Western Algerian power system. By intelligently tuning key control variables, the GA–PSO framework enhances voltage stability, minimizes power losses, and improves overall system reliability. The hybrid optimization approach demonstrates superior performance compared to conventional methods, offering an efficient and robust solution for modern power system operation.

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!!..Solid-state battery: An emerging transformation of battery technology in electric vehicle applications..!!

Solid-state batteries represent a major advancement in electric vehicle technology, offering higher energy density, faster charging, improved safety, and longer lifespan compared to conventional lithium-ion batteries. By replacing the liquid electrolyte with a solid material, these next-generation batteries enable compact designs, enhanced thermal stability, and greater driving range. As research and commercialization accelerate, solid-state batteries are poised to transform EV performance and reliability, marking a significant step toward sustainable and efficient transportation.

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!!..Research Excellence Award..!!

The award is designed to commend researchers demonstrating exceptional contributions to their fields. It highlights groundbreaking discoveries, significant publications, and community impact.

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