Results 141 to 150 of about 8,736,022 (255)

Rainfall frequency and uncertainty analysis in arid regions using machine learning and statistical distribution models based on a 91-year rainfall record. [PDF]

Sci Rep
Hagage M.
europepmc   +1 more source

Lab‐in‐a‐Tube System Integrating Hierarchically Wrinkled Electrodes and DNAzyme‐Functionalized Beads for Diagnosis of Clostridioides difficile Infection

Advanced Materials, EarlyView.
The point‐of‐care diagnosis of Clostridioides difficile infection remains challenging due to reliance on slow culture and amplification‐based methods. A lab‐in‐a‐tube electrochemical biosensor integrating DNAzymes, antifouling magnetic beads, and a hierarchically structured flow cell enables amplification‐ and culture‐free detection directly in stool ...
Survanshu Saxena, Soyeon Lee, Youngeun Choi, Jonathan L'Heureux‐Hache, Jiaying Liu, Sadman Sakib, Sara M. Imani, Marek Smieja, Yingfu Li, Todd Hoare, Leyla Soleymani   +10 more
wiley   +1 more source

A Machine Learning Approach That Measures Extracellular pH Within an In Vivo Tumor Model Using acidoCEST MRI. [PDF]

NMR Biomed
Khaled A, Dhakan CB, McCullum LB, de la Cerda J, Schuler FW, Li T, Pagel MD.   +6 more
europepmc   +1 more source

Tamper‐Responsive Physical Unclonable Functions via Graphene‐Interlayered Block Copolymer Random Structures

Advanced Materials, EarlyView.
Self‐invalidating multilayer physical unclonable functions (PUFs) integrate fingerprint‐like metal nanopattern bilayers from block copolymer templates with highly reactive reduced graphene oxide (rGO) interlayers. This tamper‐responsive architecture blocks all unauthorized physical and chemical replication attempts while autonomously deactivating ...
Gyu Hui Jo, Dae Hui Park, Jeong‐Ho Jang, Woo Seok Tack, Jin Man Kim, Hak Ki Yu, Hyeong Min Jin, Jang Hwan Kim   +7 more
wiley   +1 more source

Predicting Cesarean Section Delivery in the United States Using Machine Learning: Population-Based Retrospective Study. [PDF]

JMIR Form Res
Yang Y.
europepmc   +1 more source

Understanding Operando Water Management in Hydroxide‐Exchange‐Membrane Fuel Cells

Advanced Materials Interfaces, EarlyView.
Effective water management is vital for high‐performance hydroxide‐exchange‐membrane fuel cells. Using a custom water‐flux station, this study quantifies how membrane thickness, microporous layers, and operating conditions dictate internal water transport.
Catherine M. Weiss, Shiyi Wang, Brian P. Setzler, Yushan Yan, Adam Z. Weber   +4 more
wiley   +1 more source

Machine-learning-enhanced image reconstruction in optical tomography using the Monte Carlo method for light transport. [PDF]

J Biomed Opt
Kangasniemi J, Mozumder M, Hauptmann A, Tarvainen T.   +3 more
europepmc   +1 more source

Framework Flexibility on Water Sorption and Transport in ZIF‐90: Insights from Neural‐Network Molecular Dynamics

Advanced Materials Interfaces, EarlyView.
A DeepMD‐based molecular dynamics framework is developed to investigate water adsorption in ZIF‐90, explicitly accounting for framework flexibility. Results show that atomistic flexibility significantly influences adsorption energetics, diffusion, and structural correlations, yielding nearly constant heat of adsorption and enhanced mobility.
Nick Mackus, Ionut Tranca, Veerapandian Ponnuchamy, Silvia Gaastra‐Nedea   +3 more
wiley   +1 more source

A solution to generalized learning from small training sets found in infants' repeated visual experiences of individual objects. [PDF]

Proc Natl Acad Sci U S A
Ramirez FM, Clerkin EM, Crandall DJ, Smith LB.   +3 more
europepmc   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source