Results 111 to 120 of about 39,760 (245)
State-space models are widely used in ecology to infer hidden behaviors. This study develops an extensive numerical simulation-estimation experiment to evaluate the state decoding accuracy of four simple state-space models.
Bez, Nicolas +8 more
doaj +1 more source
T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities
T cell exhaustion limits immunotherapy efficacy. This article delineates its progression from stem‐like to terminally exhausted states, governed by persistent antigen, transcription factors, epigenetics, and metabolism. It maps the exhaustion landscape in the TME and proposes integrated reversal strategies, providing a translational roadmap to overcome
Yang Yu +7 more
wiley +1 more source
KRW/USD Exchange Rate Volatility and Efficient Risk Management
This thesis analyzes the relationship between the exchange rate of Korean Won and US dollar and the amount of foreign exchange, and studies the direction of the amendment of the risk control of foreign exchange.
Sang-Yong Joo +2 more
doaj +1 more source
Leveraging Macrophage Metabolic Reprogramming for Enhanced Anti‐Tumor Immunity
Tumor‐associated macrophages (TAMs) are key regulators of the tumor microenvironment (TME), with their metabolic states playing a critical role in tumor progression or regression. This review summarizes current understanding of TAM metabolic plasticity alongside cutting‐edge bioengineering innovations, outlining a roadmap for transforming the ...
Zhiyun Liu +8 more
wiley +1 more source
This study identifies ARID3A as a key immunosuppressive transcription factor in TNBC. Its inhibition activates the type I IFN pathway, boosting CD8+ T cell infiltration and sensitizing tumors to anti‐PD‐1. The FDA‐approved migraine drug Rimegepant targets ARID3A, enhances immunotherapy efficacy in preclinical models, and establishes a druggable axis to
Teng Zhou +12 more
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
BioSenSRRF is an open‐source workflow that combines conventional FRET biosensors with SRRF reconstruction to generate sub‐diffraction FRET index maps on standard microscopes. The pipeline integrates automated image registration, SRRF reconstruction, quantitative FRET index calculation, and random line‐based hotspot analysis to uncover AURKA‐dependent ...
Nicolas Y. Jolivet +5 more
wiley +1 more source
Estudo e avaliação de metodologias de auto-sintonia de controladores PID visando uma implementação em controlador industrial [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-graduação em Engenharia de Automação e SistemasA sintonia automática de controladores de processos é uma demanda crescente nas aplicações industriais ...
Cologni, Mario Andrei
core
This study establishes [68Ga]Ga‐DOTA‐AP9 as a first‐in‐human CD147‐targeted PET tracer with favorable safety and specific tumor uptake. Tracer accumulation correlates with CD147 expression in patients, enabling noninvasive quantification of CD147‐positive malignancies.
Xiaokun Ma +10 more
wiley +1 more source
Brazilian macroeconomic dynamics redux: Shocks, frictions, and unemployment in SAMBA model
This paper documents the recent changes in the structure and estimation procedures of the SAMBA model, providing a complete description of the decision problems that each economic agent faces, the first order conditions that solve those problems, and the
Angelo M. Fasolo +4 more
doaj +1 more source

