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We found that during chemotherapy‐induced alopecia (CIA), Sonic hedgehog (Shh) expression significantly decreased in hair follicle Shh+ cells, whereas the Janus‐activated kinase/signal transducer and activator of transcription 1 (JAK/STAT1) signaling pathway was markedly activated.
Ruifang Fan +6 more
wiley +1 more source
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
First-Trimester Gestational Diabetes Mellitus Risk Prediction with Machine Learning Techniques: Results from the BORN2020 Cohort Study. [PDF]
Pazaras N +9 more
europepmc +1 more source
SIRT4 positively regulates autophagy via ULK1, but independently of HDAC6 and OPA1
Cells expressing SIRT4 (H161Y), a catalytically inactive mutant of the sirtuin SIRT4, fail to upregulate LC3B‐II and exhibit a reduced autophagic flux under stress conditions. Interestingly, SIRT4(H161Y) promotes phosphorylation of ULK1 at S638 and S758 that are associated with inhibition of autophagy initiation.
Isabell Lehmkuhl +13 more
wiley +1 more source
Interactions among weather and landscape affect Colorado potato beetle population dynamics. [PDF]
Cohen AL +3 more
europepmc +1 more source
Emphasizing Science: Black Pastors Encourage Awareness of Medical Information about COVID-19 Vaccine. [PDF]
Moore D +3 more
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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