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Integrated Network Pharmacology and Transcriptomics Analysis to Elucidate the Mechanism of Huoxue Tongluo Qiwei Decoction in the Treatment of Erectile Dysfunction in Spontaneously Hypertensive Rats through Angii-Activated Pkcε Pathway.
Comb Chem High Throughput Screen
January 2025
Department of Andrology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Background And Aim: As a classical formula to invigorate blood circulation, Huoxue Tongluo Qiwei Decoction (HTQD) can effectively treat hypertensive erectile dysfunction (ED), but its exact mechanism of action is not yet clear. The goal of this research was to explore the potential mechanism of HTQD in improving hypertensive erectile dysfunction in rats through transcriptomics, network pharmacology, and associated animal experimentations.
Methods: The HTQD chemical constituents were screened using high-performance liquid chromatography- tandem mass spectrometry (HPLC-MS/MS).
A high performance heterogeneous hardware architecture for brain computer interface.
Biomed Eng Lett
January 2025
School of Chemistry and Chemical Engineering, Tianjin University of Technology, Tianjin, 300384 People's Republic of China.
Brain-computer interface (BCI) has been widely used in human-computer interaction. The introduction of artificial intelligence has further improved the performance of BCI system. In recent years, the development of BCI has gradually shifted from personal computers to embedded devices, which boasts lower power consumption and smaller size, but at the cost of limited device resources and computing speed, thus can hardly improve the support of complex algorithms.
View Article and Find Full Text PDFFacile Design of Highly Stretchable and Conductive Crumpled Graphene/NiS Films for Multifunctional Applications.
Small Methods
January 2025
Fujian Provincial Key Laboratory of Functional Marine Sensing Materials, College of Material and Chemical Engineering, Minjiang University, Fuzhou, 350108, P. R. China.
The cost-effective and scalable synthesis and patterning of soft nanomaterial composites with improved electrical conductivity and mechanical stretchability remains challenging in wearable devices. This work reports a scalable, low-cost fabrication approach to directly create and pattern crumpled porous graphene/NiS nanocomposites with high mechanical stretchability and electrical conductivity through laser irradiation combined with electrodeposition and a pre-strain strategy. With modulated mechanical stretchability and electrical conductivity, the crumpled graphene/NiS nanocomposite can be readily patterned into target geometries for application in a standalone stretchable sensing platform.
View Article and Find Full Text PDFTetramethylguanidine-Modified Graphene Oxide as a Gel Polymer Electrolyte Additive for Improving the Performance of Flexible Zinc-Air Batteries.
Small
January 2025
School of Mechanical Engineering, Guangxi University, Nanning, 530004, P. R. China.
Flexible zinc-air batteries (FZABs) present a promising solution for the next generation of power sources in wearable electronics, owing to their high energy density, cost-effectiveness, and safety. However, solid-state electrolytes for FZABs continue to face challenges related to rapid water loss and low ionic conductivity. In this study, a hydrophilic and stable tetramethylguanidine-modified graphene oxide as an additive, which is incorporated into sodium polyacrylate to develop a high-performance gel polymer electrolyte (GPE), is designed.
View Article and Find Full Text PDFBiopsy location and tumor-associated macrophages in predicting malignant glioma recurrence using an in-silico model.
NPJ Syst Biol Appl
January 2025
Center for Interdisciplinary Digital Sciences (CIDS), Department Information Services and High-Performance Computing (ZIH), Dresden University of Technology, 01062, Dresden, Germany.
Predicting the biological behavior and time to recurrence (TTR) of high-grade diffuse gliomas (HGG) after maximum safe neurosurgical resection and combined radiation and chemotherapy plays a pivotal role in planning clinical follow-up, selecting potentially necessary second-line treatment and improving the quality of life for patients diagnosed with a malignant brain tumor. The current standard-of-care (SoC) for HGG includes follow-up neuroradiological imaging to detect recurrence as early as possible and relies on several clinical, neuropathological, and radiological prognostic factors, which have limited accuracy in predicting TTR. In this study, using an in-silico analysis, we aim to improve predictive power for TTR by considering the role of (i) prognostically relevant information available through diagnostics used in the current SoC, (ii) advanced image-based information not currently part of the standard diagnostic workup, such as tumor-normal tissue interface (edge) features and quantitative data specific to biopsy positions within the tumor, and (iii) information on tumor-associated macrophages.
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