Theoretical prediction of the mechanical properties of soft tissues usually relies on a top-down approach; that is analysis is gradually refined to observe smaller structures and properties until technical limits are reached. Computer-Assisted Molecular Modeling (CAMM) allows for the reversal of this approach and the performance of bottom-up modeling instead. The wealth of available sequences and structures provides an enormous database for computational efforts to predict structures, simulate docking and folding processes, simulate molecular interactions, and understand them in quantitative energetic terms. Tendons and ligaments can be considered an ideal arena due to their well defined and highly organized architecture which involves not only the main structural constituent, the collagen molecule, but also other important molecular "actors" such as proteoglycans and glycosaminoglycans. In this ideal arena each structure is well organized and recognizable, and using the molecular modeling tool it is possible to evaluate their mutual interactions and to characterize their mechanical function. Knowledge of these relationships can be useful in understanding connective tissue performance as a result of the cooperation and mutual interaction between different biological structures at the nanoscale.
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http://dx.doi.org/10.1100/tsw.2005.77 | DOI Listing |
Heliyon
January 2025
Faculty of Material and Manufacturing Technologies, Malek Ashtar University of Technology, P.O. Box 1774-15875, Tehran, Iran.
The potential of epoxy-graphene oxide (GO) nanocomposites to improve the mechanical characteristics of conventional epoxy resins is causing them to gain prominence. This makes them appropriate for advanced engineering applications, including structural materials, automotive, and aerospace. This study aimed to develop an epoxy/GO composite with improved mechanical properties through synthesizing epoxy/GO samples with varying GO content (from 0.
View Article and Find Full Text PDFFront Nutr
January 2025
Department of Epidemiology and Health Statistics, Tianjin Medical University, Tianjin, China.
Background: Although more risk prediction models are available for feeding intolerance in enteral-nourishment patients, it is still unclear how well these models will work in clinical settings. Future research faces challenges in validating model accuracy across populations, enhancing interpretability for clinical use, and overcoming dataset limitations.
Objective: To thoroughly examine studies that have been published on feeding intolerance risk prediction models for enteral nutrition patients.
World J Pediatr Congenit Heart Surg
January 2025
Department of Cardiac Anesthesia, U. N. Mehta Institute of Cardiology and Research Centre, Ahmedabad, India.
Objective: The authors sought to evaluate the role of nutritional indices such as Onodera's prognostic nutrition index (PNI), World Health Organization (WHO)-based anthropometric measurements such as weight for age (w/a), height for age, weight for height, and perioperative serum albumin levels in the determination of postoperative clinical outcomes in pediatric patients who undergo surgery for congenital cardiac defects and surgical complexity (risk-adjusted congenital heart surgery score) and its correlation with postoperative course.
Material And Methods: In this prospective observational study, 108 post-pediatric cardiac surgery patients under the age of 18 months were enrolled between January 2023 and August 2023. Through receiver operating characteristic curve analysis we have found the cutoff value for PNI is ≤66.
J R Soc Interface
January 2025
School of Mathematics and Statistics, University of Glasgow, Scotland, UK.
The human body consists of many different soft biological tissues that exhibit diverse microstructures and functions and experience diverse loading conditions. Yet, under many conditions, the mechanical behaviour of these tissues can be described well with similar nonlinearly elastic or inelastic constitutive relations, both in health and some diseases. Such constitutive relations are essential for performing nonlinear stress analyses, which in turn are critical for understanding physiology, pathophysiology and even clinical interventions, including surgery.
View Article and Find Full Text PDFChem Soc Rev
January 2025
Department of Applied Physics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, P. R. China.
Establishing and regulating the ferroelectric polarization in ferroelectric nano-scale catalysts has been recognized as an emerging strategy to advance water splitting reactions, with the merits of improved surface charge density, high charge transfer rate, increased electronic conductivity, the creation of real active sites, and optimizing the chemisorption energy. As a result, engineering and tailoring the ferroelectric polarization induced internal electric field provides significant opportunities to improve the surface and electronic characteristics of catalysts, thereby enhancing the water splitting reaction kinetics. In this review, an interdisciplinary and comprehensive summary of recent advancements in the construction, characterization, engineering and regulation of the polarization in ferroelectric-based catalysts for water splitting is provided, by exploiting a variety of external stimuli.
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