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
Floristic Diversity of Riparian and Associated Vegetation Along the Amnay River (The Philippines). [PDF]
Replan EL.
europepmc +1 more source
Tumor mutational burden as a determinant of metastatic dissemination patterns
This study performed a comprehensive analysis of genomic data to elucidate whether metastasis in certain organs share genetic characteristics regardless of cancer type. No robust mutational patterns were identified across different metastatic locations and cancer types.
Eduardo Candeal +4 more
wiley +1 more source
Downscaling local distribution of cattle over Guadeloupe archipelago: An adapted method for disaggregating census data. [PDF]
Dufleit V +4 more
europepmc +1 more source
Spreading potential in disease relevant networks: Predicting centralities in rural Northeast Madagascar. [PDF]
DeSisto CMM +10 more
europepmc +1 more source
Personal and environmental predictors of polycyclic aromatic hydrocarbon exposure identified through repeated silicone wristband sampling. [PDF]
Bonner EM +6 more
europepmc +1 more source
In the moment, out of reach? Experience sampling with adolescents in the context of school smartphone bans and shifting societal norms. [PDF]
Achterberg M.
europepmc +1 more source
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Improved Sampling‐Importance Resampling and Reduced Bias Importance Sampling
Scandinavian Journal of Statistics, 2003Abstract. The sampling‐importance resampling (SIR) algorithm aims at drawing a random sample from a target distribution π. First, a sample is drawn from a proposal distributionq, and then from this a smaller sample is drawn with sample probabilities proportional to the importance ratios π/q.
Skare, Øivind +2 more
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The importance of importance sampling
Computing in Science & Engineering, 1999Importance sampling is an underappreciated Monte Carlo technique. The authors have used it with great success. They share their insights. Importance sampling is designed to reduce the variance of the estimators for a given-size sample.
I. Beichl, F. Sullivan
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Precomputed importance sampling
ACM SIGGRAPH 2008 posters, 2008We present a method for cosine-weighted importance sampling of environment maps. Our technique has no runtime overhead. It is well suited for real-time ray tracing and for algorithms that generate only a few shadow rays per primary ray. Both memory consumption and preprocessing time are very low.
Manfred Ernst, Günther Greiner
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