Publications by authors named "Shi-qi Liu"

In this study, six compounds (four triterpenoids named heilaohutriterpenes A-D and two lignans name heilaohusuins F and G) together with 21 known compounds were isolated from roots of Kadsura coccinea (Lem.) A. C.

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Article Synopsis
  • Current studies on brain-muscle modulation mainly focus on specific aspects of electrophysiological signals, leading to an incomplete understanding of their interaction.
  • This article introduces a cross-modal generative model that translates brain activity (EEG) into muscle responses (EMG) to better understand this relationship.
  • The model uses a two-stage process, with contrastive learning to identify shared movement-related information and generative adversarial networks (GANs) to improve EMG generation, showing promising results compared to traditional methods.
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Ethnopharmacological Relevance: Kadsura coccinea roots are a traditional folk medicine used to treat gastrointestinal diseases. In recent years, research on K. coccinea has predominantly focused on the analysis of chemical composition and screening for activity, but there is a scarcity of studies that employ mass spectrometry to analyze Kadsura coccinea roots.

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Chronic total occlusion (CTO) is one of the most severe and sophisticated vascular stenosis because of complete blockage, greater operation difficulty, and lower procedural success rate. This study proposes a hydraulic-driven soft robot imitating the earthworm's locomotion to assist doctors or operators in actively opening thrombi in coronary or peripheral artery vessels. Firstly, a three-actuator bionic soft robot is developed based on earthworms' physiological structure.

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Background: Giant congenital biliary dilation (CBD) is a rare condition observed in clinical practice. Infants born with this condition often experience a poor overall health status, and the disease progresses rapidly, leading to severe biliary obstruction, infections, pressure exerted by the enlarged CBD on abdominal organs, disturbances in the internal environment, and multiple organ dysfunction. The treatment of giant CBD using laparoscopy is challenging due to the high degree of variation in the shape of the bile duct and other organs, making it difficult to separate the bile duct wall from adjacent tissues or to control bleeding.

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Background: Esophageal atresia (EA) is a life-threatening congenital malformation in newborns, and the traditional repair approaches pose technical challenges and are extremely invasive. Therefore, surgeons have been actively investigating new minimally invasive techniques to address this issue. Magnetic compression anastomosis has been reported in several studies for its potential in repairing EA.

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Liver injury is a common pathological process characterized by massive degeneration and abnormal death of liver cells. With increase in dead cells and necrosis, liver injury eventually leads to nonalcoholic fatty liver disease (NAFLD), hepatic fibrosis, and even hepatocellular carcinoma (HCC). Consequently, it is necessary to treat liver injury and to prevent its progression.

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During intravascular interventional surgery, the 3D surgical navigation system can provide doctors with 3D spatial information of the vascular lumen, reducing the impact of missing dimension caused by digital subtraction angiography (DSA) guidance and further improving the success rate of surgeries. Nevertheless, this task often comes with the challenge of complex registration problems due to vessel deformation caused by respiratory motion and high requirements for the surgical environment because of the dependence on external electromagnetic sensors. This article proposes a novel 3D spatial predictive positioning navigation (SPPN) technique to predict the real-time tip position of surgical instruments.

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Article Synopsis
  • The text discusses the importance of correctly positioning central venous catheters (CVCs) in hospital patients to avoid serious complications, and outlines a proposed solution to improve detection of malposition using automated methods.* -
  • An automatic catheter tip detection framework based on a convolutional neural network (CNN) is introduced, featuring key components like modified HRNet for retaining high-resolution image details, a segmentation supervision module to reduce noise from other structures, and a deconvolution module for enhancing resolution.* -
  • The effectiveness of the proposed framework is evaluated on a public CVC dataset, yielding a mean Pixel Error of 4.11, thereby outperforming existing methods and showcasing its potential for accurately identifying catheter tip positions in X
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Background: Congenital esophageal stenosis (CES) is a rare malformation of the digestive tract. Endoscopic dilation and thoracotomy have been the main treatments for CES. However, there is no well-defined management protocol.

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Background: Magnetic compression anastomosis (MCA) is a novel suture-free reconstruction of the digestive tract. It has been used in gastrointestinal anastomosis, jejunal anastomosis, cholangioenteric anastomosis and so on. The traditional operative outcomes of congenital esophageal atresia and benign esophageal stricture are poor, and there are too many complications postoperatively.

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  • PCI is becoming the main treatment for coronary artery disease, but there are limited techniques to model the skills required for the procedure.
  • The study develops a learning framework that analyzes the manipulations of both expert and novice interventional cardiologists using advanced sensors to capture their movements.
  • Results show that using ensemble learning to combine data from different skills led to a 100% accuracy in skill assessment, indicating its strong potential for improving surgical training and evaluation in clinical settings.
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Epididymal protein 3A (EDDM3A) is a protein involved in sperm maturation. It has been demonstrated that EDDM3A expression is upregulated and promotes cell proliferation in non-small cell lung cancer (NSCLC). However, the role of EDDM3A in other types of human cancers, including gastric cancer (GC), is still unexplored.

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Recently, single-particle cryo-electron microscopy (cryo-EM) has become an indispensable method for determining macromolecular structures at high resolution to deeply explore the relevant molecular mechanism. Its recent breakthrough is mainly because of the rapid advances in hardware and image processing algorithms, especially machine learning. As an essential support of single-particle cryo-EM, machine learning has powered many aspects of structure determination and greatly promoted its development.

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The robotic-assisted percutaneous coronary intervention is an emerging technology with great potential to solve the shortcomings of existing treatments. However, the current robotic systems can not manipulate two guidewires or ballons/stents simultaneously for coronary bifurcation lesions. This paper presents VasCure, a novel bio-inspired vascular robotic system, to deliver two guidewires and stents into the main branch and side branch of bifurcation lesions in sequence.

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Percutaneous coronary intervention (PCI) has gradually become the most common treatment of coronary artery disease (CAD) in clinical practice due to its advantages of small trauma and quick recovery. However, the availability of hospitals with cardiac catheterization facilities and trained interventionalists is extremely limited in remote and underdeveloped areas. Remote vascular robotic system can assist interventionalists to complete operations precisely, and reduce occupational health hazards occurrence.

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Objective: In this paper, Keypoint Localization Region-based CNN (KL R-CNN) is proposed, which can simultaneously accomplish the guidewire detection and endpoint localization in a unified model.

Methods: KL R-CNN modifies Mask R-CNN by replacing the mask branch with a novel keypoint localization branch. Besides, some settings of Mask R-CNN are also modified to generate the keypoint localization results at a higher detail level.

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Highly conductive, conformable and gel-free electrodes are desirable in human electrophysiology. Besides, intimately coupling with human skin, wearable strain sensors can detect numerous physiological signals, such as wrist pulse and breath. In this study, a multilayer graphene nanosheet film (MGNF) with high conductivity was prepared by the Marangoni self-assembly for using in tattoo dry electrodes (TDEs) and in a graphene tattoo strain sensor (GTSS).

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The real-time localization of the guidewire endpoints is a stepping stone to computer-assisted percutaneous coronary intervention (PCI). However, methods for multi-guidewire endpoint localization in fluoroscopy images are still scarce. In this paper, we introduce a framework for real-time multi-guidewire endpoint localization in fluoroscopy images.

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To provide the ancient literary evidence support for the clinical application and development of classical prescription based on systematical collection and analysis of the ancient Chinese medical literature containing Jinshui Liujun Jian, including its origin and development. Bibliometric analysis was used and information of Jinshui Liujun Jian in ancient Chinese medical literature was then collected for statistical analysis of formula compositions, main indications, dosage, preparation methods, etc. A total of 151 valid items of data were obtained from 48 ancient Chinese medicine books.

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Rationale: Rectal atresia caused by necrotizing enterocolitis (NEC) is a serious and rare complication in children. Magnetic compression anastomosis (MCA) has been effectively applied in children with congenital oesophageal atresia and biliary atresia. Herein, we reported a case of successfully application of MCA in an infant with rectal atresia following NEC.

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Rationale: Neonatal long-gap esophageal atresia (LGEA) with tracheoesophageal fistula (TEF) is an uncommon but serious congenital malformation of the esophagus in newborns, and it remains challenging for pediatric surgeons. Magnetic compress has been shown to be effective for the treatment of LGEA in children and adults. However, the implementation of this unique technique for neonatal LGEA has not been evaluated.

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The clinical success of the percutaneous coronary intervention (PCI) is highly dependent on endovascular manipulation skills and dexterous manipulation strategies of interventionalists. However, the analysis of endovascular manipulations and related discussion for technical skill assessment are limited. In this study, a multilayer and multimodal-fusion architecture is proposed to recognize six typical endovascular manipulations.

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In endovascular and cardiovascular surgery, real-time and accurate segmentation and tracking of interventional instruments can aid in reducing radiation exposure, contrast agent and processing time. Nevertheless, this task often comes with the challenges of the elongated deformable structures with low contrast in noisy X-ray fluoroscopy. To address these issues, a novel efficient network architecture, termed pyramid attention recurrent networks (PAR-Net), is proposed for real-time guidewire segmentation and tracking.

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Article Synopsis
  • In the Formosa cold seep of the South China Sea, researchers studied microbial communities at the sediment-seawater interface using advanced sequencing techniques to identify dominant species and their functions.
  • A significant microbial entity, classified as OTU-L1, was discovered and noted for its potential novelty due to low genetic similarity to known species.
  • The study revealed that this bacteria likely contributes to key biochemical cycles, specifically carbon, sulfur, and nitrogen, through various metabolic pathways, enhancing understanding of sulfur-oxidizing bacteria in deep-sea environments.
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