Results 211 to 220 of about 1,680,593 (340)
This study reports for the first time an oral targeted nanomedicine that conducts ion exchange through engineered Ganoderma‐derived extracellular vesicle, managing both the in‐copper and ex‐copper in a multi‐pronged approach, offering a promising therapeutic strategy for addressing WD with reproductive dysfunction.
Tingting Wang+12 more
wiley +1 more source
How to improve performance of Chinese BIM-supported civil engineering projects based on the qualitative comparative analysis method. [PDF]
Zuo W, Mei T, Zhong S, Jiang X, Yan N.
europepmc +1 more source
Classification Schedules BB-BK: Aeronautical Art and Science (Book Review)
George R. Luckett
openalex +2 more sources
EFFECTS OF REINFORCEMENT MAGNITUDE ON PIGEONS' PREFERENCE FOR DIFFERENT FIXED‐RATIO SCHEDULES OF REINFORCEMENT1 [PDF]
Barry Schwartz
openalex +1 more source
The DNA demethylase TET3 drives lipid metabolic reprogramming in pancreatic ductal adenocarcinoma via a non‐catalytic mechanism. TET3 recruits histone deacetylases to repress GATA6, sustaining lipogenic enzyme expression and ferroptosis resistance.
Shuai Liu+8 more
wiley +1 more source
Response to: Comment on 'Pembrolizumab hybrid dosing is non-inferior to flat dosing in advanced non-small cell lung cancer: a real-world, retrospective bicenter cohort study' by Zhu. [PDF]
Smeenk MM+5 more
europepmc +1 more source
SOME NOTES ON CONDITIONED SUPPRESSION AND REINFORCEMENT SCHEDULES [PDF]
David O. Lyon
openalex +1 more source
Peptide‐Based Biomaterials as a Promising Tool for Cancer Radiotherapy
This review provides a systematic overview of peptide‐based biomaterials in tumor radiotherapy, covering their roles as both radiosensitizers and radiopharmaceuticals. Peptide‐based radiosensitizers are generally divided into three categories: peptides as direct radiosensitizers, peptides as carriers of radiosensitizers, and targeted‐peptide‐modified ...
Qian Wang, Xinhui Chu, Jianfeng Liu
wiley +1 more source
Behavior engineering using quantitative reinforcement learning models. [PDF]
Dan O, Plonsky O, Loewenstein Y.
europepmc +1 more source