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Bevezetés „A tudat aspektusai” című tematikus rovat elé
Published 2022-10-01“…A konferencia alkalmával a résztvevők – az előadók és a közönség tagjai – az egyénre, a szubjektumra vonatkoztatott megjelenés, avagy a szubjektum általi megjelenítés terminusaiban értelmezett tudat formáit, regisztereit vették tüzetesebben górcső alá – mindenekelőtt a fenomenológia kontextusában, de egyes előadásokban a fenomenológián kívül is, illetve ahogyan az ma a különböző interdiszciplináris kutatásokban megjelenik. …”
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A combined model of shoot phosphorus uptake based on sparse data and active learning algorithm
Published 2025-01-01“…., first-order differentially enhanced two-dimensional correlation spectroscopy (1Der-2DCOS) and two-trace 2DCOS of enhanced filling and milk stages (filling-milk-2T2DCOS)) can effectively and robustly extract spectral trait relationships, with good robustness, and can achieve efficient prediction based on small samples. (3) The hybrid model constrained by the Newton-Raphson-based optimizer’s active learning method can effectively filter localized simulation data and achieve localization of simulation data in different regions when solving practical problems, improving the hybrid model’s prediction accuracy. …”
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Linking Creatinine‐to‐Body Weight Ratio With Diabetes Incidence: A Multiethnic Malaysian Cohort Study
Published 2025-01-01Get full text
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A Potential Protective Effect of Alcohol Consumption in Male Genital Lichen Sclerosus: A Case-Control Study
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Sustained Weight Loss with Vagal Nerve Blockade but Not with Sham: 18-Month Results of the ReCharge Trial
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Stellar X-Ray Variability and Planetary Evolution in the DS Tucanae System
Published 2025-01-01“…The implied flaring rates are in agreement with past observations made with XMM-Newton, though these rates remain imprecise due to the relatively short total observation time. …”
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Exploring cement Production's role in GDP using explainable AI and sustainability analysis in Nepal
Published 2025-06-01Get full text
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Optimizing FACTS Device Placement Using the Fata Morgana Algorithm: A Cost and Power Loss Minimization Approach in Uncertain Load Scenario-Based Systems
Published 2025-01-01“…The FATA algorithm is evaluated against recently developed and improved optimization techniques, such as rime-ice formation phenomenon based Improved RIME (IRIME) Algorithm, Newton–Raphson-Based Optimization (NRBO), Resistance Capacitance Algorithm (RCA), Krill Optimization Algorithm (KOA), and Grey Wolf Optimizer (GWO), across multiple optimization objectives: reduction in generation cost, reduction in power loss and combined generation cost plus power loss, termed as Gross cost function. …”
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