Results 101 to 110 of about 1,365,709 (331)
Labor-Market Heterogeneity, Aggregation, and the Lucas Critique [PDF]
This paper assesses biases in policy predictions due to the lack of invariance of "structural" parameters in representative-agent models. We simulate data under various fiscal policy regimes from a heterogeneous-agents economy with incomplete asset ...
Frank Schorfheide +2 more
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Molecular Oncology, EarlyView.Methods to improve antibody–drug conjugate (ADC) treatment durability in cancer therapy are needed. We utilized ADCs and immune‐stimulating antibody conjugates (ISACs), which are made from two non‐competitive antibodies, to enhance the entry of toxic payloads into cancer cells and deliver immunostimulatory agents into immune cells.
Tiexin Wang +3 more
wiley +1 more source
Equilibrium Heterogeneous-Agent Models as Measurement Tools: some Monte Carlo Evidence [PDF]
This paper discusses a series of Monte Carlo experiments designed to evaluate the empirical properties of heterogeneous-agent macroeconomic models in the presence of sampling variability.
Marco Cozzi
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Molecular Oncology, EarlyView.In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge +17 more
wiley +1 more source
Context Aware Mental Model Sharing in Dynamic Inaccessible Environments
International Journal of Information and Communication Technology Research, 2012 One of the well-known cognitive concepts, commonly used in multi-agent systems, is the Shared Mental Model (SMM). In this paper we introduce a context aware mental model sharing strategy in a dynamic heterogeneous multi-agent environment in order to ...
Sajjad Salehi +3 more
doaj
Should Dynamic Scoring be done with Heterogeneous Agent-Based Models? Challenging the Conventional Wisdom [PDF]
Traditionally, Dynamic Scoring calculations experiments are carried out using representative agent based macroeconomic models. Existing literature does not provide any objection to this approach.
M Saifur Rahman
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Molecular Oncology, EarlyView.Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source
Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
Molecular Oncology, EarlyView.Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra +6 more
wiley +1 more source
Inverse Reinforcement Learning in Swarm Systems
, 2017 Inverse reinforcement learning (IRL) has become a useful tool for learning behavioral models from demonstration data. However, IRL remains mostly unexplored for multi-agent systems.
KhudaBukhsh, Wasiur R. +3 more
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Investigating biocomplexity through the agent-based paradigm. [PDF]
, 2015 Capturing the dynamism that pervades biological systems requires a computational approach that can accommodate both the continuous features of the system environment as well as the flexible and heterogeneous nature of component interactions.
Kaul, H, Ventikos, Y
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