Results 181 to 190 of about 836,551 (359)

Single‐Virus Stochastic Biosensing: Proof of Concept for SARS‐CoV‐2 Detection in Complex Medium Using CMOS‐Based Nanocapacitor Arrays

Advanced Sensor Research, EarlyView.
SARS‐CoV‐2 particles in complex cell culture medium are detected using high‐frequency electrical measurements. This is made possible through the use of large arrays of independently addressable nanoelectrodes implemented using complementary metal oxide semiconductor (CMOS), semiconductor technology.
Suryasnata Tripathy, Mohammad Saghafi, Sudip Kumar Dutta, Stijn van der Ham, Diogenis Salvanos, Cecilia Laborde, Byron Martina, Serge G. Lemay   +7 more
wiley   +1 more source

A Stochastic Differential Equation Model for the Spread of HIV amongst People Who Inject Drugs. [PDF]

Comput Math Methods Med, 2016
Liang Y, Greenhalgh D, Mao X.
europepmc   +1 more source

Stability of strong solutions of stochastic differential equations

, 1989
Leszek Słomiński
openalex   +1 more source

A Force Myography (FMG) Armband Based on Micro‐Structured Textile‐Pressure Sensors for Human‐Machine Interface (HMI)

Advanced Sensor Research, EarlyView.
This study introduces a textile‐based capacitive pressure sensor featuring a triangular prism microstructure, which significantly enhances sensitivity to 5.52% kPa−¹ and supports a wide sensing range up to 330 kPa. The sensor's performance is validated in a 4‐channel capacitive pressure‐based force myography (cFMG) armband for gesture recognition ...
Rayane Tchantchane, Hao Zhou, Shen Zhang, Gursel Alici   +3 more
wiley   +1 more source

Stochastic differential equation modeling approach for grading astrocytomas on brain MRI images. [PDF]

Sci Rep
Raisi-Nafchi M, Tajmirriahi M, Rabbani H, Amini Z.   +3 more
europepmc   +1 more source

Stochastic calculus of variations for stochastic partial differential equations

, 1988
Daniel Ocone
openalex   +1 more source

On solutions of stochastic differential equations with drift [PDF]

, 1990
Marek Rutkowski
openalex   +1 more source

Data‐Driven Lithium Salt Design for Long‐Cycle Lithium Metal Battery

Advanced Sustainable Systems, EarlyView.
This study introduces a data‐driven model to predict Coulombic efficiency and lithium thickness evolution in lithium metal batteries using electrolyte composition and DFT‐derived descriptors. Machine learning models, especially XGBoost and random forest, reduce prediction error by over 50% compared to models using only structural information.
Un Hwan Lee, Kyungju Nam, Seung Hyo Noh, Donghwi Kim, Joonhee Kang   +4 more
wiley   +1 more source

Simulation of quantum dynamics based on the quantum stochastic differential equation. [PDF]

ScientificWorldJournal, 2013
Li M.
europepmc   +1 more source

Stochastic Differential Equations in Duals of Nuclear Spaces with Some Applications.

, 1986
G. Kallianpur
openalex   +2 more sources