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3 articles for “HQS”
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Effect of Different Preservatives on Vase Life of Tuberose
Abstract: An experiment was conducted at the Laboratory of the Department of Horticulture, Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Salna, Gazipur, Bangladesh during September 2015 to August 2016 to find out suitable preservative(s) of vase solution that increases vase life of tuberose (CV. Single). Nine treatments viz., T1= 1% sucrose +300 ppm Hydroxy Quinolene Sulphate (HQS), T2= 2% sucrose +300 ppm HQS, T3= 3% sucrose +300 ppm HQS, T4 =4% …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 7, Issue 3, 2018 · pp. 10–15 Read article
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Handling Qualities-Fighter Aircraft
Abstract: Aircraft handling qualities quantify the extent to which the pilot can control the aircraft and accomplish the task with ease or difficulty. Stick force gradient, recovery rates from maneuvers, layout of controls, case of control operations, and mission accomplishment form the part of hqs. Current equivalent systems of flight control of fly-by-wire aircraftwith statically unstable airframe aim at meeting maneuver demands and provide required hqs. The hqs criteria are addressed …
Published in Journal of Aerospace Engineering & Technology · Vol. 4, Issue 1, 2014 · pp. 28–40 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 15–24 Read article