Results 181 to 190 of about 1,242,716 (272)

PyEOGPR: A Python package for vegetation trait mapping with Gaussian Process Regression on Earth observation cloud platforms.

Ecol Inform
Kovács DD, De Clerck E, Verrelst J.
europepmc   +1 more source

Predicting the academic achievement of students using black hole optimization and Gaussian process regression. [PDF]

Sci Rep
Chen Y, Yao X.
europepmc   +1 more source

Flexible Polypyrrole‐Based pH Sensors via Oxidative Chemical Vapor Deposition

Advanced Healthcare Materials, EarlyView.
Oxidative chemical vapor deposition (oCVD) of polypyrrole (PPy) thin films yields flexible, electrically conductive, and biocompatible pH sensors for monitoring on‐skin biological events. The highly sensitive, oCVD PPy skin‐conformal sensors enable real‐time, spatially resolved sensing of dynamic pH changes within physiologically relevant ranges (4–9 ...
Adrivit Mukherjee, Federico Ferrari, David Garcia Romero, Ilaria Squillante, Job Schoenmaker, Hamoon Hemmatpour, Anton Terpstra, Peter Dijkstra, Julien Es Sayed, L. Jan Anton Koster, Maria Antonietta Loi, Petra Rudolf, Giuseppe Portale, Ajay Giri Prakash Kottapalli, Marleen Kamperman, Ranjita K. Bose   +15 more
wiley   +1 more source

Predictive modeling of hemoglobin refractive index using Gaussian process regression with interpretability through partial dependence plots. [PDF]

PLoS One
Alkhanani MF.
europepmc   +1 more source

Model‐Driven Optimization of Subcutaneous Polymer Prodrugs Achieves Cancer Remission in Mice

Advanced Healthcare Materials, EarlyView.
A pharmacokinetics/pharmacodynamics (PK/PD) model was developed to evaluate multiple dosing regimens for subcutaneously administered water‐soluble polymer prodrug for cancer therapy. The model enabled prediction of in vivo performance and contributed to the optimization of anticancer efficacy.
Anne Rodallec, Randy Lee, Jingming Cao, Sophie Marolleau, Julien Nicolas, Sébastien Benzekry   +5 more
wiley   +1 more source

Deep Gaussian process with uncertainty estimation for microsatellite instability and immunotherapy response prediction from histology. [PDF]

NPJ Digit Med
Park S, Pettigrew MF, Cha YJ, Kim IH, Kim M, Banerjee I, Barnfather I, Clemenceau JR, Jang I, Kim H, Kim Y, Pai RK, Park JH, Samadder NJ, Song KY, Sung JY, Cheong JH, Kang J, Lee SH, Wang SC, Hwang TH.   +20 more
europepmc   +1 more source

A Physiological Microfluidic Blood–Brain‐Barrier Model for In Vitro Study of Nanoparticle Trafficking and Accumulation

Advanced Healthcare Materials, EarlyView.
A human microfluidic blood‐brain barrier (mBBB) model enables spatially resolved comparison of nanoparticle trafficking. Extracellular vesicles (EVs), liposomes, and nanoplastics exhibit distinct transport and disruption behaviors, revealing that membrane composition and uptake pathways govern BBB interaction.
Bryan B. Nguyen, Neona M. Lowe, Sophia Kellogg, Kuan‐Wei Huang, Hannah O'Toole, Elizabeth J. Hale, Venktesh S. Shirure, Bhupinder S. Shergill, Steven C. George, Randy P. Carney   +9 more
wiley   +1 more source

Domain Selection for Gaussian Process Data: An Application to Electrocardiogram Signals. [PDF]

Biom J
Hernández N, Martos G.
europepmc   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate

Advanced Materials, EarlyView.
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu, Keliang Song, Haorui Zhang, Zhipeng Liu, Guansong He, Junru Wang, Wenming Yang, Xu Zhao, Zhijian Yang   +8 more
wiley   +1 more source