Results 181 to 190 of about 219,224 (269)

Multiscale Microscopy via Automation: Dual Magnification Environmental Scanning Electron Microscopy Imaging by Frame Alternation

Advanced Materials Technologies, EarlyView.
An automation interface for environmental scanning electron microscopy (ESEM) enables simultaneous, interlaced data sets via frame‐by‐frame parameter changes. Demonstrated on oscillatory hydrogen oxidation over cobalt (Co) foil, dual‐magnification imaging bridges mesoscopic to microscopic length scales, capturing alternating views of surface dynamics ...
Maurits Vuijk, Johannes Zeininger, Luis Sandoval‐Diaz, Günther Rupprechter, Beatriz Roldan Cuenya, Karsten Reuter, Thomas Lunkenbein, Christoph Scheurer   +7 more
wiley   +1 more source

Online supervised learning of temporal patterns in biological neural networks under feedback control. [PDF]

Proc Natl Acad Sci U S A
Sono Y, Yamamoto H, Nishi Y, Sumi T, Sato Y, Hirano-Iwata A, Katori Y, Sato S.   +7 more
europepmc   +1 more source

Low‐Temperature Processed Optoelectronic Synapses With Enhanced Responsivity for Edge‐Oriented In‐Sensor Reservoir Computing

Advanced Materials Technologies, EarlyView.
Image pixels are converted into optical pulse sequences to stimulate the optoelectronic synaptic device, generating dynamic responses that form high‐dimensional features. These features improve classification efficiency and demonstrate strong potential for neuromorphic edge computing systems.
Jo‐Lin Chen, Shi‐Qian Guo, Yu‐Chuan Chiu, Po‐Tsun Liu   +3 more
wiley   +1 more source

Similarity-guided swarm of models: enhancing semi-supervised learning in computational pathology. [PDF]

Sci Rep
Weng Z, Pryalukhin A, Hulla W, Bychkov A, Fukuoka J, Schallenberg S, Buchstab O, Klauschen F, Büttner R, Tolkach Y.   +9 more
europepmc   +1 more source

At Home Detection of Ovarian Health Biomarker in Menstruation Blood

Advanced Materials Technologies, EarlyView.
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon, Thomas Rduch, Salma Sherif Azer, Inge K. Herrmann   +3 more
wiley   +1 more source

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

Advanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa, Sota Suzuki, Shizuka Watanabe, Zebing Mao, Young Ah Seong, Toshinori Fujie, Tatsuhiro Horii, Kenjiro Tadakuma, Koichi Suzumori, Hiroyuki Nabae, Shingo Maeda   +10 more
wiley   +1 more source

Explainable Supervised Learning Classification Model Using Diffusion Tensor Imaging Predicts Postoperative Outcomes in Cervical Spondylotic Myelopathy: A Preliminary Study. [PDF]

JOR Spine
Peng Y, Zhang Z, Zhang Z, Shi K, Wang R, Liu Y, Zhang L.   +6 more
europepmc   +1 more source

Remote Control of Hand Actuators via Glove Sensors for Medical Care Applications

Advanced Robotics Research, EarlyView.
This study presents a novel textile‐based sensory glove–actuator system for remote medical care, explored through finite element simulations. By integrating capacitive sensors, pneumatic actuators, and machine learning, the system models real‐time hand movement control.
Bahman Taherkhani, Mahdi Bodaghi
wiley   +1 more source

Sex-Specific Patterns of Taste Dysfunction, Their Relationships with α-Synuclein Profiling, and Supervised Learning-Based Diagnosis in Parkinson's Disease (PD). [PDF]

Int J Mol Sci
Melis M, Angius F, Naciri LC, Sollai G, Deligia S, Fenu G, Mellino P, Pinna B, Crnjar R, Carta AR, Cossu G, Tomassini Barbarossa I.   +11 more
europepmc   +1 more source