Results 171 to 180 of about 276,499 (268)

Correction: Exponential random graph model parameter estimation for very large directed networks. [PDF]

PLoS One, 2020
PLOS ONE Staff.
europepmc   +1 more source

Temporal Immune and Metabolic Shifts Drive the Anti‐Tumor Efficacy of Resiquimod‐Loaded Nanoparticles in Peritoneal Carcinomatosis

Advanced Healthcare Materials, EarlyView.
Peritoneal carcinomatosis is a hard‐to‐treat spread of abdominal cancers that often returns after therapy. Nanoparticles were developed to retain an immune‐boosting drug in the abdomen. When combined with chemotherapy in mice, this approach eliminated tumors in many cases and prevented recurrence, helping the immune system mount a stronger, longer ...
Vanessa Chan, Po‐Han Chao, XuXin Sun, Jun Han, Sarah MacPherson, Lucas J. Andrew, Noah Y. Brittain, Tien Do, Marcel B. Bally, Julian J. Lum, Shyh‐Dar Li   +10 more
wiley   +1 more source

Does network homophily persist in multicultural volunteering programs? Results from an Exponential Random Graph Model. [PDF]

J Migr Health
Cao QK, Dabelko-Schoeny H, Warren K, Lee MY.   +3 more
europepmc   +1 more source

A Framework for Reconstructing Archaeological Networks Using Exponential Random Graph Models. [PDF]

J Archaeol Method Theory, 2020
Amati V, Mol A, Shafie T, Hofman C, Brandes U.   +4 more
europepmc   +1 more source

Engineering Nanoplatforms for Alzheimer's Disease Detection via Biomolecular Corona Proteomic and Lipidomic Profiling

Advanced Healthcare Materials, EarlyView.
Engineered nanoparticles capture disease‐specific biomolecular coronas that uncover hidden molecular features of Alzheimer's disease. Combined proteomic and lipidomic analyses reveal a characteristic shift in ribosomal machinery and energy metabolism, generating a multiomic fingerprint that supports accurate disease detection and opens new ...
Antonietta Greco, Roberto Baretta, Andrea Di Fonzo, Andrea Armirotti, Stefano Cinti, Mara Mirasoli, Marco Frasconi, Claudia Corbo   +7 more
wiley   +1 more source

Bayesian Analysis of Exponential Random Graph Models Using Stochastic Gradient Markov Chain Monte Carlo. [PDF]

Bayesian Anal
Zhang Q, Liang F.
europepmc   +1 more source

Examining Patterns of Information Exchange and Social Support in a Web-Based Health Community: Exponential Random Graph Models. [PDF]

J Med Internet Res, 2020
Liu X, Jiang S, Sun M, Chi X.
europepmc   +1 more source

A Lightweight, 3D‐Printable, Low‐Cost, “One‐Click” Dorsal Skin Window for High‐Quality Long‐Term Multimodal Subcutaneous Tumor Imaging

Advanced Healthcare Materials, EarlyView.
An innovative, lightweight 3D‐printed skinfold chamber system is presented for long‐term intravital imaging. This affordable, biocompatible platform simplifies surgical implantation and allows high‐resolution, multimodal visualization of the tumor microenvironment for up to four weeks.
Iván Cortés Domínguez, Xabier Morales Urteaga, Maider Esparza, Lucía Grande, Ainhoa Urbiola, Cristina Ederra, Tomas Muñoz Santoro, Beatrice Pinci, Alvaro Teijeira, Carlos Ortiz de Solórzano   +9 more
wiley   +1 more source

Modelling and monitoring social network change based on exponential random graph models. [PDF]

J Appl Stat
Cai Y, Liu L, Li Z.
europepmc   +1 more source

Model-based clustering of time-evolving networks through temporal exponential-family random graph models. [PDF]

J Multivar Anal, 2020
Lee KH, Xue L, Hunter DR.
europepmc   +1 more source