Results 181 to 190 of about 11,964 (263)
This study develops 16:0 LPC‐modified lipid nanoparticles (LPC‐LNPs) with cancer cell specificity by exploiting altered tumor lipid metabolism. LPC‐LNPs encapsulating Cd28 small interfering RNA (LPC‐LNP‐Cd28) knock down cancer cell CD28 without affecting T cells, inflame the tumor microenvironment, and overcome anti‐PD‐1 resistance.
Yangyang Chai +12 more
wiley +1 more source
Optimizing biometric system selection via complex spherical fuzzy einstein aggregation operators. [PDF]
Kanwal S +3 more
europepmc +1 more source
Programmable Elastic Wave Control Via Mechanical‐Acoustic Interaction in Bistable Metamaterials
A mechanically programmable metamaterial based on mechanical‐acoustic interaction enables reconfigurable elastic wave control through bistable state switching. Spatial encoding of peak and valley states tunes band structures and transmission, achieving low‐frequency vibration suppression, waveguiding, and energy localization.
Yuanyuan Li +7 more
wiley +1 more source
We synthesized a high‐performance balanced ambipolar OECT polymer, P(gTDPPSe), via selenophene π‐bridge engineering. The selenophene π‐bridge enhances backbone planarity and optimizes the energy levels for doping, enabling high and balanced p/n‐type transconductance‐a key factor for high‐gain complementary inverters.
Guichuan Zhu +4 more
wiley +1 more source
Resilience Ontologies in Veterinary Science: How They Shape the Way We Address Resilience. [PDF]
Keens Caballero H +4 more
europepmc +1 more source
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
A fuzzy time-series driven ensemble approach for accurate forecasting of higher education rankings. [PDF]
Agarwal N +7 more
europepmc +1 more source
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao +9 more
wiley +1 more source

