Results 191 to 200 of about 7,060,757 (314)

Wearable Kirigami‐Apertured Capacitive Sensors for Continuous Cardiac Volumetric Monitoring

Advanced Functional Materials, EarlyView.
A wearable kirigami‐apertured carbon nanotube‐paper composite (K‐CPC) capacitive sensor enables cardiac volumetric monitoring. The kirigami process creates a central aperture with cantilevered fibers that confine the electric field, enhancing both sensitivity and lateral resolution.
Yu‐Jen Cheng, Shawn Kim, Jonathan Avery, Younghoon Kwon, Jae‐Hyun Chung   +4 more
wiley   +1 more source

Antifungal Activity of Conjugated Metal Organic Frameworks: A Multidisciplinary Undergraduate Laboratory Experiment. [PDF]

J Chem Educ
Skorjanc T, Gaber S, Bergant Marušič M, Shetty D, Valant M.   +4 more
europepmc   +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

What are the views of cancer care administrators and clinicians in England on the use of a machine learning clinical decision support system (ML-CDSS) to predict patients' risk of hepatic and renal deterioration during chemotherapy? A qualitative study. [PDF]

BMJ Open
Ercia A, Yip M, Reed C, Steventon L, Geoghegan C, Watson M, Kennelly C, Chambers P, Al Moubayed N.   +8 more
europepmc   +1 more source

High‐Throughput Discovery of Quantum Frustrated Materials

Advanced Functional Materials, EarlyView.
Physics‐guided discovery of frustrated kagome and triangular magnets. ABSTRACT Geometrical frustration provides a fertile platform for realizing exotic quantum phases such as spin liquids, yet, the predictive identification of frustrated magnets remains limited.
Byeong‐Hyeon Jeong, Hee Seung Kim, Jiwon Choi, SungBin Lee, Myung Joon Han   +4 more
wiley   +1 more source

Context based learning in chemistry: Chemistry in Sport

New Directions, 2006
Tina Overton, Nicholas Potter
openaire   +1 more source

Advancing Physical Chemistry with Machine Learning [PDF]

The Journal of Physical Chemistry Letters, 2020
openaire   +2 more sources

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Artificial intelligence-assisted phenotyping of drug-resistant bacteria using a monosaccharide-based fluorescent sensor array. [PDF]

Chem Sci
Zhang ZF, Gui WZ, Tang YF, Gan HQ, Hu XL, James TD, Yang S, Liu Q, He XP.   +8 more
europepmc   +1 more source

A Fully Defined GelMA‐Based Matrix Allows Fine Tuning of Tissue‐Relevant Biomechanical and Biochemical Cues for Organoid Culture

Advanced Healthcare Materials, EarlyView.
A fully defined GelMA‐based ECM platform integrates tunable tissue‐relevant stiffness with laminin–entactin biochemical supplementation to support mouse small intestinal organoid growth. Coordinated control of mechanical and biochemical cues promotes robust proliferation, budding morphogenesis, differentiation, and passaging, providing a reproducible ...
Junyi Liu, Su Su Htwe, Lay Poh Tan, Yen Choo   +3 more
wiley   +1 more source