Results 51 to 60 of about 5,783 (171)
Justification for Proposed Resurrection of the Step 0 GPHS Module for Interstellar Probe
Nuclear and Emerging Technologies for Space (NETS 2023), 2023 The Interstellar Probe mission was initially proposed to travel 1000 astronomical units (AUs) in 50 years, after launching in the 2030s. In a later mission concept review, this was reduced to 400 AUs. The spacecraft uses Next Generation Radioisotope Thermoelectric Generators (RTGs), which are similar to General Purpose Heat Source ...
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PBR‐Inspired Controllable Diffusion for Image Generation
Computer Graphics Forum, EarlyView.Abstract Despite recent advances in text‐to‐image generation, controlling geometric layout and PBR material properties in synthesized scenes remains challenging. We present a pipeline that first produces a G‐buffer (albedo, normals, depth, roughness, shading, and metallic) from a text prompt and then renders a final image through a PBR‐inspired branch ...
Bowen Xue +3 more
wiley +1 more source
Mesh Processing Non‐Meshes via Neural Displacement Fields
Computer Graphics Forum, EarlyView.Abstract Mesh processing pipelines are mature, but adapting them to newer non‐mesh surface representations—which enable fast rendering with compact file size—requires costly meshing or transmitting bulky meshes, negating their core benefits for streaming applications.
Yuta Noma +4 more
wiley +1 more source
The Influence of Rational Dimension in the GPH-MILF Peace Process [PDF]
The Journal of Social Sciences Research, 2018 Resolution of the so-called “Bangsamoro Question” rests at the heart of the peace process between the Government of the Philippines (GPH) and the Moro Islamic Liberation Front (MILF) in the Southern Philippines, also known as the Bangsamoro homeland. Inspired by Allison and Zelikow’s conceptualization of Rational Actor Model (RAM), this paper analyzed ...
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The Journal of Physiology, EarlyView.Abstract figure legend Three weeks of overtraining in trained endurance athletes reduced exercise performance without impairing glucose tolerance. In skeletal muscle, overtraining was associated with increased expression of lipid metabolism‐related proteins, enhanced mitochondrial biogenesis and preserved insulin signalling, despite elevated oxidative ...
Geneviève J. DesOrmeaux +7 more
wiley +1 more source
Wavelet‐Based Hurst Exponent Estimation
WIREs Computational Statistics, Volume 18, Issue 3, September 2026.The review explores how wavelet‐based methods for estimating the Hurst parameters have developed from their theoretical roots to real‐world applications in fields like biology, engineering, and telecommunications. The review aims to highlight key techniques, compare their strengths and limitations, and point out challenges that still need to be ...
Dixon Vimalajeewa +2 more
wiley +1 more source
EQAInappropriate use by agriculture and industry has led to contamination by glyphosate (GPH), which is toxic to human health, life and the environment. GPH is eliminated by the adsorption process of organoclay composites.
Abdelhak Mesbah +2 more
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Synchronization of ovulation in crossbred dairy heifers using gonadotrophin-releasing hormone agonist, prostaglandin F2a and human chorionic gonadotrophin or estradiol benzoate [PDF]
Brazilian Journal of Medical and Biological Research, 2000 Girolando (Gir x Holstein) is a very common dairy breed in Brazil because it combines the rusticity of Gir (Bos indicus) with the high milk yield of Holstein (Bos taurus).
C. Castilho +5 more
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Extracting Information: Characterizing neuronal cell types in the GPh by their activity profile. [PDF]
Berkeley Scientific Journal, 2015 The globus pallidus is a major output station for the basal ganglia, a subcortical region of the brain that is heavilyimplicated in action selection and decision making. A subpopulation of neurons in the internal segment (GPi) projects tothe laternal habenula (LHb), often associated with the limbic system and known to encode for negative motivational ...
Li, Danxun +2 more
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Geophysical Research Letters, Volume 53, Issue 15, 16 August 2026.Abstract Machine Learning (ML) models have emerged as a powerful tool for predicting deep convection triggering, yet the atmospheric conditions that systematically challenge these models in detecting deep convection remain poorly understood. To diagnose such ambiguous regimes, we trained a Controlled Abstention Neural Network (CAN) that separates high‐
Ashish Bhattarai, Youtong Zheng
wiley +1 more source