Results 131 to 140 of about 30,204 (264)

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

Advanced Science, EarlyView.
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio, Wei Xuan Wilson Loo, Yan Shan Loo, Wen Xin Tan, Hui Xuan Lim, Huitao Liu, Chen Seng Ng   +6 more
wiley   +1 more source

Unraveling the symmetry of Al₅C₃N. [PDF]

Acta Crystallogr B Struct Sci Cryst Eng Mater
Shtender V, Ong CS, Berastegui P, Donzel-Gargand O, Cedervall J, Hervoches C, Beran P, Eriksson O, Jansson U.   +8 more
europepmc   +1 more source

On the inversion formula for the characteristic function [PDF]

Pacific Journal of Mathematics, 1969
openaire   +3 more sources

Cholesterol Laundry of Cell Membrane and Fatty Liver by Detergent Liposomes to Improve Anti‐Cancer Drug Responsiveness of Patient Liver Tissues

Advanced Science, EarlyView.
Cholesterol‐enriched plasma membranes in hepatocellular carcinoma impede drug penetration. Cholesterol (+)‐liposomes act as membrane‐specific detergents, extracting cholesterol and reducing barrier function without cytotoxicity. Following endocytosis, cholesterol transfers from endosomes to liposomes and is metabolized in the ER.
Chansik Kim, Joo Kyung Noh, Sewoom Baek, Seung Eun Yu, Jueun Kim, Seongyo Lee, Youngji Oh, Dai Hoon Han, Seyong Chung, Hak‐Joon Sung   +9 more
wiley   +1 more source

Prevalence and Sex-Specific Distribution of Electrocardiographic Variants in Normotensive Nigerian University Students: A Cross-Sectional Study. [PDF]

Int J Gen Med
Egharevba JE, Okema JN, Nwanaga CU, Onyebuagu PC, Acomo G, Pitua I, Bongomin F.   +6 more
europepmc   +1 more source

An exciting Approach to Theoretical Spectroscopy

Advanced Science, EarlyView.
ABSTRACT Theoretical spectroscopy, and more generally, electronic‐structure theory, are powerful concepts for describing the complex many‐body interactions in materials. They cover methods from ground‐state properties to lattice excitations and light‐matter interaction, including time‐resolved variants.
Martí Raya‐Moreno, Alexander Buccheri, Noah Alexy Dasch, Nasrin Farahani, Ignacio Gonzalez Oliva, Andris Gulans, Seokhyun Hong, Manoar Hossain, Hannah Kleine, Martin Kuban, Sven Lubeck, Benedikt Maurer, Pasquale Pavone, Fabian Peschel, Daria Popova‐Gorelova, Lu Qiao, Elias Richter, Santiago Rigamonti, Ronaldo Rodrigues Pela, Maximilian Schebek, Kshitij Sinha, Daniel T. Speckhard, Jan Stutz, Sebastian Tillack, Dmitry Tumakov, Jānis Užulis, Mara Voiculescu, Cecilia Vona, Mao Yang, Claudia Draxl   +29 more
wiley   +1 more source

Calibration, Sensitivity and Uncertainty Analysis of Complex Ecological Models-A Review. [PDF]

Ecol Lett
Malchow AK, Hartig F.
europepmc   +1 more source

Condition‐Associated Pattern Extraction and Recovery From Multi‐Condition Single‐Cell RNA‐seq Data With CAPER

Advanced Science, EarlyView.
Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li, Jin Ning, An Wang, Minxi Shi, Yuanze Chen, Guoliang Liu, Shiquan Sun   +6 more
wiley   +1 more source

Correction: Nakajima et al. Pretreatment Prognostic Factors for Intradiscal Condoliase Injection in Patients with Lumbar Disc Herniation: Insights from Clinical and MRI-Based Quantitative Analysis. <i>J. Clin. Med.</i> 2025, <i>14</i>, 1509. [PDF]

J Clin Med
Nakajima H, Kubota A, Watanabe S, Honjoh K, Takeura N, Matsumine A.   +5 more
europepmc   +1 more source

Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami

Advanced Science, EarlyView.
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning, Lu Lu, Sophie Leanza, Ruike Renee Zhao   +3 more
wiley   +1 more source