Results 141 to 150 of about 119,737 (282)

Micro-hyperbolic pseudo-differential operators I

Journal of the Mathematical Society of Japan, 1975
KASHIWARA, Masaki, KAWAI, Takahiro
openaire   +3 more sources

Using a Zero‐Strain Reference Electrode to Distinguish Anode and Cathode Volume Changes in a Solid‐State Battery

Advanced Materials Interfaces, EarlyView.
Volume changes of a solid‐state battery cell are separated into the individual contributions of anode and cathode. Simultaneously determining the “reaction volumes” of both electrodes requires a reference electrode with a pressure‐independent potential.
Mervyn Soans, Benedikt Huber, Marcel Drüschler, Dominic Bresser, Alberto Varzi, Christoffer Karlsson   +5 more
wiley   +1 more source

Leveraging Genetic Instrumental Variables and Sequencing Analysis to Identify a Prognostic Signature Based on Epithelial Cell Markers in Lung Adenocarcinoma. [PDF]

Thorac Cancer
Lao J, Han Z, Lou X, Ye J, Gao C, Wu L.
europepmc   +1 more source

SG Pseudo-Differential Operators and Weak Hyperbolicity

, 2003
2002 Mathematics Subject Classification: 35S05, 47G30, 58J42. We consider a class of pseudo-differential operators globally defined in R^n. For them we discuss trace functionals, distribution of eigenvalues, essential spectrum and weak hyperbolicity. *The authors are supported by NATO, PST.CLG.979347, Collaborative Linkage Grant CNR- BAN and FIRB 2001,
NICOLA F., RODINO, Luigi Giacomo
openaire   +3 more sources

Designing Defect Structure and Interfacial Strain in an Epitaxial VN Bilayer Film by Tailoring N Concentration

Advanced Materials Interfaces, EarlyView.
The N concentration in an epitaxial VN bilayer is tailored from overstoichiometric V0.49N0.51 to understoichiometric V0.56N0.44. Based on ab initio, diffraction, and microscopy data, the overstoichiometric V0.49N0.51 layer contains V vacancies, N Frenkel pairs, and a high density of dislocations.
Marcus Hans, Damian M. Holzapfel, Zhuo Chen, Soheil Karimi Aghda, Michal Fečík, Daniel Primetzhofer, Zaoli Zhang, Jochen M. Schneider   +7 more
wiley   +1 more source

Exploring the relationship between metabolism and immune microenvironment in breast cancer bone metastasis based on metabolic pathways. [PDF]

PLoS One
Yang C, Li Z, Li G, Mi H, Qin Y.
europepmc   +1 more source

Laser‐Synthesized Amorphous PdSe2‐x Nanoparticles: A Defect‐Rich Platform for High‐Efficiency SERS, Photocatalysis, and Photothermal Conversion

Advanced Materials Interfaces, EarlyView.
Using femtosecond ablation, we show that an ordered, stoichiometric crystalline PdSe2 target can be controllably converted into a stable, disordered, non‐stoichiometric, and highly functional amorphous nanomaterial, PdSe2−x${\rm PdSe}_{2-x}$. The obtained nanoparticles offer significant advantages over conventional planar plasmon‐free substrates due to
Andrei Ushkov, Nadezhda Belozerova, Dmitriy Dyubo, Ilya Martynov, Alexander Syuy, Daniil Tselikov, Georgy Ermolaev, Sergey V. Bazhenov, Roman I. Romanov, Ivan Kruglov, Anton A. Popov, Alexander Chernov, Alexey D. Bolshakov, Sergey Novikov, Andrey A. Vyshnevyy, Aleksey Arsenin, Andrei V. Kabashin, Gleb I. Tselikov, Valentyn Volkov   +18 more
wiley   +1 more source

Identifying and validating hypoxia- and metabolism-related hub genes and cell communication in atherosclerosis. [PDF]

Front Cardiovasc Med
Hao L, Xu Q, Yang G, Di M.
europepmc   +1 more source

Powder‐to‐Film Conversion of Nickel Single‐Atom Catalysts into Binder‐Free and Resistant Electrodes

Advanced Materials Interfaces, EarlyView.
A reproducible strategy is reported for fabricating standalone thin‐film electrodes composed of CNx‐supported Ni single‐atom catalysts. The resulting binder‐free electrodes exhibit robust stability, enhanced charge transfer, and superior electrochemical performance, offering scalable opportunities for applications in electrochemistry. ABSTRACT Although
Milla Vigliengo, Nicolò Allasia, Shuting Xiang, Yurii P. Ivanov, Riccardo Gulminelli, Martin Sterrer, Giorgio Divitini, Anatoly I. Frenkel, Gianvito Vilé   +8 more
wiley   +1 more source

Neuronal inflammatory genes-based machine learning model for breast cancer: a novel perspective on clinical prognosis and tumor immunity. [PDF]

Discov Oncol
Wang H, Hu H, Zhang J, Hao B, Zhu H, Zhan W, Wang S, Li Z, Zhang T.   +8 more
europepmc   +1 more source