Results 181 to 190 of about 14,152 (260)

Optimization of ultra-low volume spray for multi-drone based on wind sensitivity. [PDF]

Sci Rep
Zheng D, Wang B, Lin Y, Shi W, Liu P.
europepmc   +1 more source

Recycling of Mill Scale Into High‐Purity Iron Through Hydrogen‐Based Reduction

steel research international, EarlyView.
Mill scale, an iron oxide–rich steel by‐product, is difficult to recycle due to impurities. This study evaluates hydrogen‐based direct reduction and hydrogen plasma smelting reduction as low‐carbon recycling routes. Impurity segregation limits reduction kinetics. Direct reduction achieves 92% conversion in 180 min, while plasma reduction reaches 91% in
Nathalia C. Verissimo, Anumoy Ganguly, Lucas Varoto, Tim M. Schwarz, Jean‐Baptiste Letz, Ubaid Manzoor, Laurine Choisez, Dierk Raabe, Isnaldi R. Souza Filho   +8 more
wiley   +1 more source

Association between PFAS compounds in follicular fluid and POR and the intervention effect of Qizi Yusi Tang: a study based on targeted PFAS quantification analysis. [PDF]

Front Endocrinol (Lausanne)
Li H, Li J, Jiang W, Hu X, Guo Z, Song J, Sun Z.   +6 more
europepmc   +1 more source

Development and Validation of a Next‐Generation Mechanistic Model of the Electric Arc Furnace

steel research international, EarlyView.
This study presents a next‐generation mechanistic model of the electric arc furnace (EAF). It describes equations for all crucial processes appearing during the steel‐recycling process in an EAF, i.e., thermal, mass, and chemical. The model was parameterized and validated using industrial EAF data.
Vito Logar, Igor Škrjanc
wiley   +1 more source

Uncovering Benzene Pollution Patterns Using an Interpretable, Setting-Aware Artificial Intelligence Approach. [PDF]

Toxics
Bešlić I, Bezdan T, Jovanović G, Davila S, Pehnec G, Herceg Romanić S, Stojić A, Perišić M.   +7 more
europepmc   +1 more source

Geopolymers as a Sustainable Chemical Platform: From Building Materials to Advanced Functional Applications

The Chemical Record, EarlyView.
Geopolymers are presented as a chemically programmable platform whose properties emerge from activation chemistry, nanoscale disorder, and interfacial design. The review highlights sustainability challenges, the shift toward nanoengineered and hybrid systems, and the rise of halloysite‐based architectures enabling tunable structures across scales for ...
Martina Maria Calvino, Lorenzo Lisuzzo, Giuseppe Cavallaro, Stefana Milioto, Giuseppe Lazzara   +4 more
wiley   +1 more source

Computational analysis of MHD ternary hybrid nanofluid flow with thermochemical reactions through a porous medium on a rotating stretching sheet. [PDF]

Discov Nano
Sadiya AB, Sucharitha G.
europepmc   +1 more source

Sargassum Lung Syndrome: Air Flow Obstruction and Bronchial Inflammation Are Observed After Prolonged Exposure to Sargassum Gas Emissions in the Eastern Caribbean

Environmental Toxicology, EarlyView.
ABSTRACT Sargassum inundation of Caribbean and American shorelines is a growing environmental hazard. Hydrogen sulfide (H2S) and ammonia (NH3) produced by decomposing Sargassum could be involved in airway obstruction and bronchial inflammation. The study was undertaken to evaluate the effects of exposure to H2S and NH3 gases emitted during Sargassum ...
Rishika Banydeen, Jonathan Florentin, Maxime Boutourlinsky, Remi Nguyen, Fatima Radouani, Moustapha Agossou, Gary Lutin, Thierry Lebrun, Remi Neviere, Dabor Resiere   +9 more
wiley   +1 more source

Chlorine dioxide flushing protocols for microbial reduction in dental chair units. [PDF]

PLoS One
Winkler J, Herzog S, Dahlhaus F, Matschulat A, Uhlmann H, Mellmann A, Kuczius T.   +6 more
europepmc   +1 more source

Exploration and Exploitation: A Study on Sample Efficiency in Reinforcement Learning With Multifaceted Curiosity Rewards and Adaptive Experience Replay Utilisation in Sparse Reward Environments

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT In recent years, the widespread application of deep reinforcement learning (DRL) in autonomous systems has highlighted the importance of achieving high sample efficiency under sparse reward conditions. To improve sample efficiency in sparse reward environments, this paper proposes a reinforcement learning framework built upon the Soft Actor ...
Jingyi Huang, Guipeng Xi, Meixiu Lin, Haohui Zhang, Bo Li, Evgeny Neretin   +5 more
wiley   +1 more source