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2 articles for “CDR optimization”
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Agentic AI-Driven Negative Emission Optimization: Large Language Model Orchestration and Quantum Annealing for Real-Time Carbon Capture Policy Simulation Beyond 1.5°C Thresholds
Abstract: The convergence of agentic artificial intelligence, large language model (LLM) orchestration, and quantum annealing presents a transformative paradigm for climate policy computation. This paper introduces Nega Optima a multi-agent computational architecture that integrates LLM-driven policy parsing, quantum annealing-based combinatorial optimization, and real-time integrated assessment model (IAM) feedback loops to simulate negative emission technology (NET) deployment strategies in a post-1.5°C overshoot scenario. Existing carbon capture optimization frameworks suffer from three systemic …
Published in International Journal of Climate Conditions · Vol. 3, Issue 2, 2026 · pp. 7–14 Read article
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Formulation and Evaluation of Transungual Drug Delivery of Fluconazole Using Permeation Enhancers Screened by Hydration of Nail Plate
Abstract: The objective of the work was to formulate nail lacquer containing fluconazole an antifungual drug for the treatment of onychomycosis. Onychomycosis, a common fungal nail infection affects the people. Topical and ungual therapy is limited because of the poor permeation of the drug through nail plate. Film base was prepared using varying concentration of cellulose acetate and ethyl cellulose as polymers. The permeation enhancers were screened by nail plate hydration. …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 8, Issue 3, 2017 · pp. 32–45 Read article