Results 181 to 190 of about 114,641 (246)
Electrostatically layered nanoparticles (NPs) coated with anionic polypeptides selectively target cancer cells by engaging amino acid transporters. Poly(L‐glutamate) (PLE) coatings cluster the glutamine transporter SLC1A5, prolonging NP surface retention, while poly(L‐aspartate) (PLD) coatings also bind SLC1A3, potentially promoting faster ...
Ivan S. Pires +10 more
wiley +2 more sources
Transformer-based tokenization for IoT traffic classification across diverse network environments. [PDF]
Afifi F +4 more
europepmc +1 more source
This review explains how biomaterials and nanoparticles can be used to induce or modulate tertiary lymphoid structures (TLSs), which are ectopic immune hubs that form in nonlymphoid tissues during chronic disease and cancer. By comparing different methods, the article highlights design principles for modeling TLSs or recapitulating specific TLS ...
Shaza Karaman, Mei ElGindi, Jeremy Teo
wiley +1 more source
Advanced Clustering for Mobile Network Optimization: A Systematic Literature Review. [PDF]
Nawej CM, Owolawi PA, Walingo TM.
europepmc +1 more source
This review highlights how autoimmune diseases arise from intertwined immunological, genetic, and environmental factors, emphasizing gut microbiota dysbiosis as a pivotal driver. It outlines emerging nanotechnology‐based strategies—such as liposomes, hydrogels, and polymeric nanoparticles—that enhance targeted drug delivery, minimize systemic toxicity,
Md. Meraj Ansari +5 more
wiley +1 more source
Deep memory for deep threats: A novel architecture combining GRUs and deep learning models for IDS. [PDF]
Alqhatani A +5 more
europepmc +1 more source
DRL-Driven Intelligent SFC Deployment in MEC Workload for Dynamic IoT Networks. [PDF]
Ros S, Ryoo I, Kim S.
europepmc +1 more source
AttentionDriveNet: Fusion of deep cognitive network with Attention modeling for robust navigation in Self-driving vehicles. [PDF]
Mishra S +6 more
europepmc +1 more source
ABSTRACT To address the issues of neglecting the spatiotemporal correlations among process variables, low‐level features are vulnerable to noise interference, and the gradual loss of key information layer by layer during deep network training in traditional stacked autoencoder‐based soft‐sensor models, this paper proposes a hierarchical complementary ...
Xiaoping Guo, Jinghong Guo, Yuan Li
wiley +1 more source
Network design for bypass roads using interval valued fuzzy outerplanar graphs. [PDF]
Jaisankar D +3 more
europepmc +1 more source

