Results 131 to 140 of about 1,895,431 (338)

Boundaries of photosynthesis: adaptations of carbon fixation in extreme environments

open access: yesFEBS Open Bio, EarlyView.
Photosynthesis faces challenges from environmental extremes of temperature, pH, and salinity, limiting gas diffusion, modifying membrane fluidity, and destabilizing photochemical and biochemical reactions. Photosynthetic organisms have evolved unique adaptations overcoming these stresses and maintaining their photosynthetic activity.
Pere Aguiló‐Nicolau   +3 more
wiley   +1 more source

Composing inference algorithms as program transformations [PDF]

open access: yesarXiv, 2016
Probabilistic inference procedures are usually coded painstakingly from scratch, for each target model and each inference algorithm. We reduce this effort by generating inference procedures from models automatically. We make this code generation modular by decomposing inference algorithms into reusable program-to-program transformations.
arxiv  

Iron‐dependent lysosomal LDL oxidation induces the expression of scavenger receptor A in human THP‐1 monocytes

open access: yesFEBS Open Bio, EarlyView.
In human monocytic cells THP‐1, a limited uptake of native—not oxidized—LDL/VLDL induced expression of scavenger receptor A and cellular adhesion. Induction was inhibited by lysosomotropic (WR‐1065) and lipophilic (BHT) antioxidants and by siRNAs against ferritinophagy.
Martina Čierna   +4 more
wiley   +1 more source

A variant of sparse partial least squares for variable selection and data exploration

open access: yesFrontiers in Neuroinformatics, 2014
When data are sparse and/or predictors multicollinear, current implementation of sparse partial least squares (SPLS) does not give estimates for non-selected predictors nor provide a measure of inference. In response, an approach termed all-possible SPLS
Megan Jodene Olson Hunt   +9 more
doaj   +1 more source

Stochastic Collapsed Variational Inference for Sequential Data

open access: yes, 2015
Stochastic variational inference for collapsed models has recently been successfully applied to large scale topic modelling. In this paper, we propose a stochastic collapsed variational inference algorithm in the sequential data setting. Our algorithm is
Blunsom, Phil, Wang, Pengyu
core  

The Long Term Effects of a 12‐Session Community Exercise Program on Health Measures in Cancer Patients

open access: yesAging and Cancer, EarlyView.
ABSTRACT Purpose To assess the long‐term effects of a community cancer exercise program on quality of life, fatigue, weight, waist circumference, physical activity levels, lower extremity strength, body mass index (BMI), heart rate, and blood pressure, across non‐metastatic and metastatic patients.
Isaac Oppong, Roozbeh Naemi
wiley   +1 more source

From 2D to 3D gamma passing rate tolerance and action limits for patient‐specific quality assurance in volumetric‐modulated arc therapy

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Volumetric modulated arc therapy (VMAT) requires an accurate patient‐specific quality assurance (PSQA) program. In clinical practice, this is usually performed using the γ‐index and the two‐dimensional gamma passing rate (2D %GP). A three‐dimensional (3D) index incorporating the patient anatomy could be more useful for the 3D dose ...
Christos Zarros   +6 more
wiley   +1 more source

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models [PDF]

open access: yesarXiv
While the scaling laws of large language models (LLMs) training have been extensively studied, optimal inference configurations of LLMs remain underexplored. We study inference scaling laws (aka test-time scaling laws) and compute-optimal inference, focusing on the trade-offs between model sizes and generating additional tokens with different inference
arxiv  

Implication and Linear Inference. [PDF]

open access: green, 1921
Harry T. Costello, Bernard Bosanquet
openalex   +1 more source

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