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New research from the Beijing Institute of Pharmacology and Toxicology in China has identified a potential anti-Zika virus compound called XSJ2-46. The compound demonstrated potent in vitro activity against the Zika virus without requiring chemical phosphorylation and showed favorable pharmacokinetic and acute toxicity profiles. XSJ2-46 acted at the replication stage of the viral infection cycle and inhibited RNA-dependent RNA polymerases. In animal models, XSJ2-46 enhanced survival protection and decreased serum levels of Zika virus RNA. This research highlights the potential of utilizing the 5'-amino NI structure skeleton for developing antiviral compounds. [Extracted from the article]

A study conducted by researchers at North China Electric Power University in Beijing, China, explores the impact of users' energy use behavior on integrated energy systems (IES). The study proposes energy usage strategies based on integrated demand response (IDR) and develops a Stackelberg game-based simulation model that considers user-side flexible resources (FRs) and comfort cost. The research finds that the strategy developed with the consideration of FRs and consumer psychology can reduce the cost of purchasing energy for users by 17.14% and increase consumer surplus by 11.58%. The study also suggests that introducing user-side gas boilers and distributed energy storage can further benefit users and improve load regulation capabilities for integrated energy systems. [Extracted from the article]

Researchers at the Chinese Academy of Sciences have presented data on tissue engineering, specifically focusing on the piezoelectric properties of electrospun polymer nanofibers and their potential applications in energy harvesting, sensors, tissue engineering, and filtration. The study reviews the performance of various electrospun piezoelectric polymer nanofibers produced through different electrospinning methods. The researchers found that the electrospinning parameters can significantly affect the piezoelectric properties of the nanofibers. This research provides valuable insights into the impact of electrospinning methods on the properties of polymer nanofibers. [Extracted from the article]

A research report from the Chinese Academy of Medical Sciences provides insights into the status and development of nuclear medicine in Beijing over the past decade. The report reveals that there has been significant growth in personnel, equipment, and scintigraphy in nuclear medicine. The most common nuclear medicine facilities were positron emission tomography/computed tomography (PET/CT), single-photon emission computed tomography (SPECT), and single-photon emission computed tomography/computed tomography (SPECT/CT). The report also highlights the use of radioiodine-targeted therapy for hyperthyroidism. Future efforts will focus on the use of new isotopes, quality strategy implementation, and training enhancement in nuclear medicine. [Extracted from the article]

A recent report from Peking Union Medical College Hospital in Beijing, China discusses the use of patient-controlled analgesia (PCA) devices to manage postoperative pain. The report highlights the establishment of the Acute Pain Service Working Group in 2004, which has implemented standardized management and continuously improved working methods for postoperative pain management. The research aims to provide valuable insights for enhancing pain management and patient satisfaction with perioperative analgesia services. The full report can be accessed for free online. [Extracted from the article]

A study conducted at Peking Union Medical College Hospital in Beijing, China, has developed a deep learning method for detecting and segmenting facet joints in ultrasound images. The researchers used convolutional neural networks (CNNs) and enhanced data annotation to improve the accuracy of the model. The study included 300 patients undergoing pain treatment, and the deep learning model achieved a 90.4% detection rate and an 85.0% segmentation rate for facet joints. This research demonstrates the potential of deep learning techniques in analyzing ultrasound images of facet joints. [Extracted from the article]