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Skeletal muscle-specific Bambi deletion induces hypertrophy and oxidative switching coupling with adipocyte thermogenesis against metabolic disorders.
Sci China Life Sci
January 2025
Department of Endocrinology and Metabolism, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.
Skeletal muscle plays a significant role in both local and systemic energy metabolism. The current investigation aims to explore the role of the Bambi gene in skeletal muscle, focusing on its implications for muscle hypertrophy and systemic metabolism. We hypothesize that skeletal muscle-specific deletion of Bambi induces muscle hypertrophy, improves metabolic performance, and activates thermogenic adipocytes via the reprogramming of progenitor of iWAT, offering potential therapeutic strategies for metabolic syndromes.
View Article and Find Full Text PDFANFIS-PSO analysis on axisymmetric tetra hybrid nanofluid flow of Cu-CNT-Graphene-Tio with WEG-Blood under linear thermal radiation and inclined magnetic field: A bio-medicine application.
Heliyon
January 2025
Department of Mechanical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
Background: The development of heat transfer devices used for heat conversion and recovery in several industrial and residential applications has long focused on improving heat transfer between two parallel plates. Numerous articles have examined the relevance of enhancing thermal performance for the system's performance and economics. Heat transport is improved by increasing the Reynolds number as the turbulent effects grow.
View Article and Find Full Text PDFHiQ-FPAR: A High-Quality and Value-added MODIS Global FPAR Product from 2000 to 2023.
Sci Data
January 2025
Department of Earth and Environment, Boston University, Boston, MA, 02215, USA.
The Fraction of Absorbed Photosynthetically Active Radiation (FPAR) is essential for assessing vegetation's photosynthetic efficiency and ecosystem energy balance. While the MODIS FPAR product provides valuable global data, its reliability is compromised by noise, particularly under poor observation conditions like cloud cover. To solve this problem, we developed the Spatio-Temporal Information Composition Algorithm (STICA), which enhances MODIS FPAR by integrating quality control, spatio-temporal correlations, and original FPAR values, resulting in the High-Quality FPAR (HiQ-FPAR) product.
View Article and Find Full Text PDFImproving early prediction of crop yield in Spanish olive groves using satellite imagery and machine learning.
PLoS One
January 2025
Department of Computer Science, University of Jaén, Jaén, Spain.
In the production sector, the usefulness of predictive systems as a tool for management and decision-making is well known. In the agricultural sector, a correct economic balance of the farm depends on making the right decisions. For this purpose, having information in advance on crop yields is an extraordinary help.
View Article and Find Full Text PDFGround validation of manipulator adaptive variable admittance control method for detumbling a space noncooperative satellite.
Sci Rep
January 2025
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China.
To achieve rapid and stable detumbling of a space noncooperative satellite, an adaptive variable admittance control method for the manipulator is proposed and verified through simulation study and the ground experiment. The control block diagram of the proposed method is presented, and the adaptive variable admittance compliant detumbling control model is established. The proposed controller includes the fixed admittance controller in manipulator task space, the adaptive pose compensator for the grasping point on docking ring, and the damping adaptive regulator based on manipulator joint angular velocity, and the stability is proven by the Lyapunov method.
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