Results 161 to 170 of about 773,050 (248)

Multi-Omics Characterization of Inflammatory Bowel Disease-Induced Hyperplasia/Dysplasia in the Rag2^-/-/Il10^-/- Mouse Model. [PDF]

Int J Mol Sci, 2020
Han Q, Kono TJY, Knutson CG, Parry NM, Seiler CL, Fox JG, Tannenbaum SR, Tretyakova NY.   +7 more
europepmc   +1 more source

Stochastic Galerkin and Monte Carlo Methods for Parabolic Problems: Numerical Performance of Variational Matrix‐Free Approximations

Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT Stochastic Galerkin methods offer unexplored potential for the numerical simulation of parabolic problems with random variables, in particular if they are combined with variational discretizations of the space and time variables. Due to the high dimensionality, the solution of the arising algebraic systems do not become feasible without ...
Moataz Dawor, Nils Margenberg, Markus Bause   +2 more
wiley   +1 more source

PhenoModel: A multimodal phenotypic drug design foundation model for discovering novel potential inhibitors of multiple cancer cells. [PDF]

Acta Pharm Sin B
Wang S, Han Q, Qin W, Wang L, Yuan J, Cai F, Zhao Y, Ren P, Zhang Y, Tang Y, Li R, Li Z, Zhang W, Gao S, Bai F.   +14 more
europepmc   +1 more source

An Unusual Case of Mirizzi Syndrome With Double Spontaneous Gallbladder Fistulas With the Colon and the Duodenum Presenting As Acute Cholecystitis. [PDF]

Cureus, 2021
Pararas N, Alkadrou AM, Sayed RL, Pikoulis A, Pikoulis E.   +4 more
europepmc   +1 more source

Automatic measurement of rice tiller angle from unmanned aerial vehicle images

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Rice (Oryza sativa L.) tiller angle is an important trait that influences plant architecture, canopy light interception, and yield potential. In this study, we proposed a deep learning‐based pipeline for automated measurement of rice tiller angle and plant base width using unmanned aerial vehicle (UAV) imagery.
Tan‐Hanh Pham, Yubin Yang, Jing Zhang, Sanai Li, Stanley Omar P. B. Samonte, Fugen Dou, Darlene Sanchez, Lloyd T. Wilson, Tanumoy Bera, Jing Wang, Kim‐Doang Nguyen   +10 more
wiley   +1 more source

Identifying a science-based methodology for generating refined maps that identify where pesticides overlap with endangered/threatened species habitat. [PDF]

J Environ Qual
Randell-Singleton T, Culpepper AS.
europepmc   +1 more source

Edge‐Based Discretizations on Triangulations in Any Dimension, With Special Attention to Four‐Dimensional Space

International Journal for Numerical Methods in Fluids, Volume 98, Issue 10, Page 1143-1164, October 2026.
This article provides important geometric formulas for node‐centered, edge‐based schemes in any number of dimensions. These formulas are noteworthy, as they do not require the explicit formation of dual regions. We prove several key geometric results, with a particular focus on the four‐dimensional case, due to potential space‐time applications ...
Nicholas Tufillaro, David M. Williams, Hiroaki Nishikawa   +2 more
wiley   +1 more source

Automatic Crater Classification Using a Deep‐Learning‐Based Pipeline

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Identifying and classifying impact craters on Mars is crucial for understanding the planet's geological history and surface evolution. Traditional crater classification relies on manual annotation methods, which are often limited by human biases and the difficulty of interpreting geomorphological features.
L. Martinez, F. Andrieu, F. Schmidt, M. S. Bentley   +3 more
wiley   +1 more source

Nr2e3-Deficient Mice Show Evidence for Elevated Photoreceptor Bioenergetics and Retinal Visual Cycle Activity Based on OCT Metabolic Biomarkers. [PDF]

Invest Ophthalmol Vis Sci
Berkowitz BA, Podolsky RH, Burgoyne T, Hayes MJ, Katz R, Waseem R, Soetedjo J, Ataman ES, Roberts R.   +8 more
europepmc   +1 more source

Automatic Extraction of a Generalized Physics‐Based Feature From Time‐Lapse Active Source Ultrasonic Waveforms for Prediction of Shear Stress in Laboratory Friction Experiments

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Physics‐based handcrafted features, such as P‐wave amplitude derived from early parts of active source ultrasonic waveforms, successfully predict shear stress evolution. This study investigates whether feature extraction can be automated by leveraging full active source ultrasonic waveforms recorded during a laboratory friction experiment.
Prabhav Borate, Jacques Rivière, Daniel Kifer, Parisa Shokouhi   +3 more
wiley   +1 more source