Results 111 to 120 of about 107,985,804 (238)
, 2019 (A) The plasma levels of Type 1 (IFN-γ, TNF-α and IL-2), Type 17 (IL-17 and IL-22), (B) pro-inflammatory (IL-1α, IL-1β, IL-12, GM-CSF and IL-6), (C) Type 2 cytokines (IL-4, IL-5 and IL-13) and regulatory (IL-10) cytokines were examined by multiplex ELISA
Saravanan Munisankar (842971) +4 more
core +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
Advanced Science, EarlyView.A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Advanced Science, EarlyView.Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
, 1917 Shows the SS Roosevelt, Capt. Robert Peary's ship that he took on his polar exploration. A. Curtis 36636 PH Coll 1286.Curtis36636To order a reproduction, inquire about permissions, or for information about prices see: http://www.lib.washington.edu ...
Curtis, Asahel, 1874-1941
core
Probing Electrocatalyst Design for Product Selectivity in CO2 Reduction
Advanced Science, EarlyView.Selective CO2 electroreduction is controlled by catalyst structure, dynamic surface reconstruction, adsorbate interactions, and reaction microenvironment. This review summarizes Cu‐ and non‐Cu‐based catalysts, single‐atom and molecular systems, degradation pathways, and operando/computational strategies for steering CO2RR toward hydrocarbons ...
Suvodeep Sen +5 more
wiley +1 more source
Results for SS-DWT, RDLS-DWT, RDLS-SS-DWT, and comparison with JPEG-LS and HEVC (lossless mode).
, 2016 Results for SS-DWT, RDLS-DWT, RDLS-SS-DWT, and comparison with JPEG-LS and HEVC (lossless mode).
Roman Starosolski (3599438)
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Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials
Advanced Science, EarlyView.A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang +5 more
wiley +1 more source
Absorption profiles of (AAm–SS–DMAPAA) terpolymer hydrogel on Ni(II) and Cr(VI) from different pH conditions.
Kentaro Fujimoto (22836) +6 more
core +1 more source
Advanced Science, EarlyView.Butterfly wing–inspired intrinsically self‐healing polymer interlayers enable flexible perovskite optoelectronics with high luminance, strain‐insensitive stability, and environmental resilience. These hierarchically structured films redistribute mechanical stress, suppress defect formation, and maintain performance under repeated bending, paving the ...
Loganathan Veeramuthu +13 more
wiley +1 more source
Symmetry‐Imposed Selection Rules for Excitations of Nontrivial Plasmonic Topologies
Advanced Science, EarlyView.A unified group‐theory selection rule governs the excitation of vectorial nearfield topologies across three plasmonic spin states. Derived from first principles, it predicts spin–orbit vortex splitting and multidimensional nested vortices, confirmed by phase‐resolved in situ measurements.
Jie Yang +14 more
wiley +1 more source