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Porous hybrid networks were formed from methacrylated collagen (ICol-MA) fibrils and methacrylated PTMC (PTMC-tMA). Dispersing ICol-MA and dissolving PTMC-tMA in DMSO acidified with HCl (DMSO/HCl), followed by mixing, casting, freezing, photo-cross-linking, and solvent extraction, resulted in networks with high porosities and gel contents. ATR-FTIR showed that hybrid networks had compositions similar to the mixture compositions prior to photo-cross-linking. Mechanical testing of porous hybrid networks, in particular the ICol-MA:PTMC-tMA 17:83 wt % network, showed improved mechanical properties compared to non-cross-linked ICol and ICol-MA networks prepared in DMSO/HCl. Additionally, cross-linking alone already improves the properties of porous collagen structures. Interestingly, photo-cross-linking ICol-MA in acetic acid solution resulted in the best mechanical properties, suggesting that the solvent affects collagen fibril structure and thus network mechanical properties. Indeed, acetic acid does not alter the collagen banding structure, whereas DMSO/HCl does. Thus, further investigation into the effect of the solvent on the network properties is needed.
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http://dx.doi.org/10.1021/acs.biomac.5c00971 | DOI Listing |
Sci China Life Sci
September 2025
State Key Laboratory of Plant Environmental Resilience, College of Life Sciences, Zhejiang University, Hangzhou, 310058, China.
Diurnal floret opening and closure (DFOC) is essential for rice reproductive development and hybrid breeding, yet transcriptional dynamics and underlying regulatory networks remain poorly characterized. Here, we conducted high-temporal-resolution transcriptomic analyses of lodicules to dissect DFOC regulatory networks in two japonica rice cultivars. Analysis of differentially expressed genes (DEGs) uncovered core genes shared by both cultivars, primarily associated with jasmonic acid (JA) signaling and cell wall remodeling.
View Article and Find Full Text PDFJ Chem Inf Model
September 2025
Department of Chemistry and Biochemistry, University of Arizona, Tucson, Arizona 85721-0041, United States.
The development of low-cost, high-performance materials with enhanced transparency in the long-wavelength infrared (LWIR) region (800-1250 cm/8-12.5 μm) is essential for advancing thermal imaging and sensing technologies. Traditional LWIR optics rely on costly inorganic materials, limiting their broader deployment.
View Article and Find Full Text PDFJ Med Internet Res
September 2025
Dementia Care and Research Center, Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.
Background: Informal caregivers of home-dwelling people with dementia experience significant unmet needs. However, family physician teams as primary health care gatekeepers for aging populations in China remain an underused resource for structured caregiver support.
Objective: This hybrid effectiveness-implementation study aimed to evaluate a policy-aligned integration of the World Health Organization's iSupport web-based program with China's family physician contract services for informal dementia caregivers while systematically assessing implementation determinants using the Consolidated Framework for Implementation Research (CFIR).
PLoS One
September 2025
College of Business Administration, Northern Border University (NBU), Arar, Kingdom of Saudi Arabia.
The increasing dependence on cloud computing as a cornerstone of modern technological infrastructures has introduced significant challenges in resource management. Traditional load-balancing techniques often prove inadequate in addressing cloud environments' dynamic and complex nature, resulting in suboptimal resource utilization and heightened operational costs. This paper presents a novel smart load-balancing strategy incorporating advanced techniques to mitigate these limitations.
View Article and Find Full Text PDFIEEE Trans Med Imaging
September 2025
Computed Tomography (CT) to Cone-Beam Computed Tomography (CBCT) image registration is crucial for image-guided radiotherapy and surgical procedures. However, achieving accurate CT-CBCT registration remains challenging due to various factors such as inconsistent intensities, low contrast resolution and imaging artifacts. In this study, we propose a Context-Aware Semantics-driven Hierarchical Network (referred to as CASHNet), which hierarchically integrates context-aware semantics-encoded features into a coarse-to-fine registration scheme, to explicitly enhance semantic structural perception during progressive alignment.
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