Green accounting and ESG-driven eco-efficiency in European financial institutions: A two-stage DEA-CRITIC-TOPSIS evaluation. [PDF]
Sklavos G +3 more
europepmc +1 more source
EVALUATION OF REGIONAL HEALTH SERVICES IN TURKEY USING CRITIC BASED TOPSIS METHODS
Gizem Zevde AYDIN
openalex +1 more source
Effect of chemotherapy on passenger mutations in metastatic colorectal cancer
Changes in passenger mutation load and predicted immunotherapy response after chemotherapy treatment. Tumor cells rich with passenger mutations have increased sensitivity to chemotherapy. Correlation of passenger mutations with neoantigen load suggests highly mutated clones promote a more effective response to immunotherapy, and therefore, first‐line ...
Marium T. Siddiqui +6 more
wiley +1 more source
Intelligent data driven assessment of physical education programs using circular intuitionistic fuzzy MAIRCA CRITIC model. [PDF]
Shi X, Li F.
europepmc +1 more source
Dual targeting of RET and SRC synergizes in RET fusion‐positive cancer cells
Despite the strong activity of selective RET tyrosine kinase inhibitors (TKIs), resistance of RET fusion‐positive (RET+) lung cancer and thyroid cancer frequently occurs and is mainly driven by RET‐independent bypass mechanisms. Son et al. show that SRC TKIs significantly inhibit PAK and AKT survival signaling and enhance the efficacy of RET TKIs in ...
Juhyeon Son +13 more
wiley +1 more source
Optimizing thermoelectric energy harvesting using deep reinforcement learning for dynamic energy management and system efficiency. [PDF]
Chaudhari CN +6 more
europepmc +1 more source
The noncoding region of the genome plays a key role in regulating gene expression, and mutations within these regions are capable of altering it. Researchers have identified multiple functional noncoding mutations associated with increased cancer risk in the genome of breast cancer patients.
Arnau Cuy Saqués +3 more
wiley +1 more source
Július Noge - a critic with an awareness of continuity [PDF]
Vladimír Petrík
doaj
Decentralized Reinforcement Learning for Asymmetric Gene Network Interventions. [PDF]
Hosseini SH, Imani M.
europepmc +1 more source

