Results 201 to 210 of about 258,865 (274)

Respiratory Signal Processing and Analysis Using Flexible Capacitive Sensor Data

Advanced Materials Technologies, EarlyView.
Capacitive pressure sensors based on poly(glycerol sebacate) (PGS) substrates are developed for continuous, non‐invasive respiratory monitoring. Integrated with a signal processing algorithm, they enable accurate tracking of thoracic expansion and retraction.
Bernardo A. Vicente, Raquel Sebastião, Alda Marques, Vitor Sencadas   +3 more
wiley   +1 more source

Identifying Rare Events in Quantum Molecular Dynamics of Nanomaterials with Outlier Detection Indices. [PDF]

J Phys Chem Lett
Wang B, Liu D, Wu Y, Vasenko AS, Prezhdo OV.   +4 more
europepmc   +1 more source

Tunable Applicator for Microneedle‐Based Medical Devices

Advanced Materials Technologies, EarlyView.
This paper presents a simple, low‐cost tunable applicator (TAPP) for microneedle array patches that uses a material‐agnostic controlled‐fracture mechanism to ensure reliable skin penetration and uniform array engagement. The scalable, modular design is compatible with injection molding and 3D printing, can be integrated directly into patches, and is ...
Dan Ilyn, Jihyun (Luna) Hwang, Ian A. Coates, Jacob Dobson, Andy H. Hung, Netra U. Kamat, John R. Tumbleston, Maria T. Dulay, Gunilla B. Jacobson, Joseph M. DeSimone   +9 more
wiley   +1 more source

SEAOP: a statistical ensemble approach for outlier detection in quantitative proteomics data. [PDF]

Brief Bioinform
Huang J, Zhao Y, Meng B, Lu A, Wei Y, Dong L, Fang X, An D, Dai X.   +8 more
europepmc   +1 more source

Cap‐oPMN: Oral Inflammatory Load Quantification Using Capillary Microfluidics and Automated Image Processing

Advanced Materials Technologies, EarlyView.
ABSTRACT Quantifying oral polymorphonuclear neutrophils (oPMNs) is a clinically validated approach for assessing periodontal inflammation. However, current methods, such as manual hemocytometry and flow cytometry, are time‐consuming (>3 h), require invasive sampling, and depend on staining and complex instrumentation, making them unsuitable for point ...
Mohsen Hassani, Azam Zare, Fatemeh Soheili, S. M. Mahdi H. Daneshvar, Mahdi Amrollahi Biouki, Yasaman Tahernezhad, Chunxiang Sun, Michael Glogauer, Ebrahim Ghafar‐Zadeh, Amir Sanati‐Nezhad   +9 more
wiley   +1 more source

Stress‐Normalized Sensitivity as a Comparative Benchmark for Intrinsically Piezoresistive Nanocomposite Materials in Wearable Electronics

Advanced Materials Technologies, EarlyView.
A stress‐normalised sensitivity metric (S = G/Y) is introduced as a materials‐level benchmark for intrinsically piezoresistive nanocomposites. By decoupling electromechanical response (G) from stiffness (Y), the framework enables direct comparison across diverse systems and clarifies design trade‐offs for wearable sensors.
Conor S. Boland
wiley   +1 more source

Sensitivity analysis with iterative outlier detection for systematic reviews and meta-analyses. [PDF]

Stat Med
Meng Z, Wang J, Lin L, Wu C.
europepmc   +1 more source

AI‐Powered Framework for Evaluating Drug Efficacy for Three‐Dimensional In Vitro Cancer Models in Robot‐Assisted Production

Advanced Robotics Research, EarlyView.
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy, Jesus Nieves, Lukas Königer, Matthias Peindl, Fabio Erhard, Marc Möllmann, Anke Klingner, Markus Münig, Bibin Babu, Thomas Schwarz, Marco Metzger, Gudrun Dandekar, Maximiliane Wußmann, Jan Hansmann   +13 more
wiley   +1 more source

Towards Reliability in Smart Water Sensing Technology: Evaluating Classical Machine Learning Models for Outlier Detection. [PDF]

Sensors (Basel)
Lamrini M, Ben Mahria B, Chkouri MY, Touhafi A.   +3 more
europepmc   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source