Results 231 to 240 of about 145,948 (305)

Separation of the field source and characterization of the deep and shallow tectonics of the northwestern margin of the Sichuan-Yunnan rhombic massif. [PDF]

Sci Rep
Qinhong L, Guiju W, Yufei X, Rui Z.
europepmc   +1 more source

Elastomers Combining Damping Efficiency With Rapid Recovery

Advanced Materials Technologies, EarlyView.
Double network granular elastomers (DNGEs) combine high energy dissipation under both cyclic loading and high impact with rapid shape recovery. 3D printing enables the production of complex, customizable structures with tailored performance. Recyclable DNGEs retain their properties over multiple recycling cycles.
Eva Baur, Alain Molleyres, Esther Amstad
wiley   +1 more source

Development and Characterization of CASSAVA Starch-Based Biodegradable Films Reinforced with Kaolin and Andiroba Oil. [PDF]

ACS Omega
da Costa Filho MC, da Costa JCSC, Brasil DDSB, Martelli MC.   +3 more
europepmc   +1 more source

Review of \u3cem\u3eLe Leges Libitinariae Flegree: Edizione e Commento 34\u3c/em\u3e by Sergio Castagnetti [PDF]

, 2014
Bond, Sarah E.
core   +1 more source

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +1 more source

From Seed to Seedling: Constraints Imposed by Warming, UV-B, and Burial Depth on Alpine Cushion Plant Recruitment. [PDF]

Ecol Evol
Huang M, Yang P, Xiang J, Niu M, Lin J, Chen J.   +5 more
europepmc   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Respiratory Gas Shifts to Delay Asphyxiation in Critical Avalanche Burial: A Randomized Clinical Trial.

JAMA
Eisendle F, Roveri G, Rauch S, Thomassen Ø, Dal Cappello T, Assmus J, Malacrida S, Kammerer T, Schweizer J, Borasio N, Dörck V, Falk M, Falla M, Fruzzetti N, Maxenti M, Mydske S, Sasso GM, Vinetti G, Wallner B, Brattebø G, Brugger H, Strapazzon G.   +21 more
europepmc   +1 more source

Wings on concealed corpse: the forensic importance of scuttle flies (Diptera: Phoridae). [PDF]

Front Insect Sci
Guo Y, Luo Y, Ma Y, Luciano A, Huang J, Li Y, Wang S, Niu Y, Li Z, Cai J, Meng F.   +10 more
europepmc   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source