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Background: Knee Osteoarthritis (KOA) is a prevalent condition worldwide, significantly diminishing quality of life and productivity. Except for the alignment change, muscle activation patterns (MAP) have garnered increasing attention as another crucial factor contributing to KOA.

Objective: This study explores the factors, characteristics, and effects of MAP changes caused by KOA, providing a neuromuscular-based causal analysis for the rehabilitation treatment of KOA.

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Background: Both oxidative stress and autoimmune responses play crucial roles in the development of vitiligo. Under oxidative stress, the apoptotic melanocytes expose self-antigens and release high mobility group box 1 (HMGB1), triggering autoimmune activation and recruiting CD8 T cells. This process further leads to the destruction of melanocytes, resulting in the lack of melanin granules.

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Quercetin triggers cell apoptosis-associated ROS-mediated cell death and induces S and G2/M-phase cell cycle arrest in KON oral cancer cells.

BMC Complement Med Ther

January 2025

Division of Pharmacology and Biopharmaceutical Sciences, Faculty of Pharmaceutical Sciences, Burapha University, Chonburi, Thailand.

Background: Plant flavonoids such as quercetin are useful for both the therapeutic and preventive care of a variety of illnesses. Nevertheless, their antitumor efficacy against KON oral cancer is still unknown. Therefore, the aim of this investigation was to examine quercetin's anti-growth, anti-migrative, and anti-invasive characteristics.

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Load frequency control (LFC) systems in power grids face challenges in maintaining stability while managing computational complexity. This research presents an optimized approach combining model order reduction techniques with Teaching Learning-Based Optimization (TLBO) for PID controller tuning in single-area LFC systems. Three reduction methods-Routh Approximation, Balanced Truncation, and Hankel Norm Approximation-were implemented to reduce system order from 4th to 2nd order, achieving a 47.

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Robotic artificial muscles, inspired by the adaptability of biological muscles, outperform rigid robots in dynamic environments due to their flexibility. However, the intrinsic compliance of the soft actuators restricts force transmission capacity and dynamic response. Biological muscle modulates their stiffness and damping, varying viscoelastic properties and force in interaction with the surroundings.

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