Publications by authors named "Zhao Shang"

Article Synopsis
  • - The text discusses a new method for surgical instrument segmentation called the LACOSTE model, which addresses limitations in current techniques by considering both temporal motion and stereo attributes in surgical videos.
  • - LACOSTE includes three key enhancements: a disparity-guided feature propagation module for depth awareness, a stereo-temporal set classifier for improved prediction accuracy, and a location-agnostic classifier to reduce location bias in mask predictions.
  • - The effectiveness of this model is validated through extensive testing on three public surgical video datasets, with results showing it performs comparably or better than existing top methods in the field.
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Article Synopsis
  • The liver is essential for detoxifying substances, metabolizing nutrients, and storing vital compounds, but liver cancer is a leading cause of death worldwide, highlighting the need for better treatments.
  • Traditional treatments like surgery and chemotherapy are not reducing liver cancer incidence, prompting research into novel therapies.
  • Oncolytic therapy uses viruses to specifically target and destroy cancer cells; this review discusses recent studies on the safety and effectiveness of five common oncolytic viruses in treating liver cancer.
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Ethnopharmacological Relevance: In accordance with the tenets of traditional Chinese medicine, sepsis is categorized into three distinct syndromes: heat syndrome, blood stasis syndrome, and deficiency syndrome. Xiaochaihu decoction (XCHD) has many functions, including the capacity to protect the liver, cholagogue, antipyretic, anti-inflammatory, and anti-pathogenic microorganisms. XCHD exerts the effect of clearing heat and reconciling Shaoyang.

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Colorectal cancer (CRC) is a malignant tumor originating from epithelial cells of the colon or rectum, and its invasion and metastasis could be regulated by anoikis. However, the key genes and pathways regulating anoikis in CRC are still unclear and require further research. The single cell transcriptome dataset GSE221575 of GEO database was downloaded and applied to cell subpopulation type identification, intercellular communication, pseudo time cell trajectory analysis, and receptor ligand expression analysis of CRC.

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Background: Hypertension is one of the global public health problems. Family physician-contracted service (FPCS) is widely used in the health management of hypertension patients in China. The purpose of this study was to assess the effect of FPCS on hypertension control.

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Introduction: For middle-aged and older people, depression is a frequent and prevalent illness. The purpose of this study was to examine the moderating function of living arrangements in the mediating model as well as the mediating role of life satisfaction in the association between chronic diseases and depressive symptoms.

Methods: The China Health and Retirement Longitudinal Study (CHARLS) provided the data for this investigation (2018).

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Background: Automated surgical workflow recognition is the foundation for computational models of medical knowledge to interpret surgical procedures. The fine-grained segmentation of the surgical process and the improvement of the accuracy of surgical workflow recognition facilitate the realization of autonomous robotic surgery. This study aimed to construct a multigranularity temporal annotation dataset of the standardized robotic left lateral sectionectomy (RLLS) and develop a deep learning-based automated model for multilevel overall and effective surgical workflow recognition.

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Clear cell renal carcinoma (CCRC) is the most common type of renal carcinoma. We hope to find out the potential key genes playing important roles in CCRC genesis and progression by analysing the recent expression profiling by array from 2014 to 2016. In order to find out the differentially expressed genes (DEGs) between CCRC and normal renal tissue.

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Myeloid-derived suppressor cells (MDSCs) are a heterogeneous group of immature cells derived from bone marrow that play critical immunosuppressive functions in the tumor microenvironment (TME), promoting cancer progression. According to base length, Non-coding RNAs (ncRNAs) are mainly divided into: microRNAs (miRNAs), lncRNAs, snRNAs and CircRNAs. Both miRNA and lncRNA are transcribed by RNA polymerase II, and they play an important role in gene expression under both physiological and pathological conditions.

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Automated medical skill assessment facilitates medical education by merging varying clinical experiences across instructors for standardizing medical training. However, medical datasets for training such automated assessment rarely have satisfactory sizes due to the cost of data collection, safety concerns and privacy restrictions. Current medical training relies on evaluation rubrics that usually include multiple auxiliary labels to support the overall evaluation from varying aspects of the procedure.

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The aim of the present study was to determine the effects of sodium selenite on pancreatic β cells and diabetic retinopathy in type 1 diabetes mellitus (T1DM) rats. Diabetes was induced by administration of streptozotocin (STZ) and both diabetic and control animals were treated with sodium selenite to measure body weight, food and water intake as well as blood glucose level. Additionally, immunohistochemistry was performed to detect the levels of insulin secretion in pancreatic β cells.

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Neonatal Endotracheal Intubation (ETI) is a critical resuscitation skill that requires tremendous practice of trainees before clinical exposure. However, current manikin-based training regimen is ineffective in providing satisfactory real-time procedural guidance for accurate assessment due to the lack of see-through visualization within the manikin. The training efficiency is further reduced by the limited availability of expert instructors, which inevitably results in a long learning curve for trainees.

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Yellowhorn (Xanthoceras sorbifolium) is an important edible woody oil tree species that is endemic to China. Drought and heat stresses are factors severely limiting the high-quality development of the yellowhorn industry. Transcription factors (TFs) play critical roles in regulating the response of woody plant species to water deficit or high temperature.

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Myeloid-derived suppressor cells (MDSCs) are a heterogeneous population of immature myeloid cells that accumulate in tumor-bearing hosts to reduce T cells activity and promote tumor immune escape in the tumor microenvironment (TME). The immune system in the TME can be stimulated to elicit an anti-tumor immune response through immunotherapy. The main theory of immunotherapy resides on the plasticity of the immune system and its capacity to be re-educated into a potent anti-tumor response.

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Neonatal endotracheal intubation (ETI) is an important, complex resuscitation skill, which requires a significant amount of practice to master. Current ETI practice is conducted on the physical manikin and relies on the expert instructors' assessment. Since the training opportunities are limited by the availability of expert instructors, an automatic assessment model is highly desirable.

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Manual assessment from experts in neonatal endotracheal intubation (ETI) training is a time-consuming and tedious process. Such subjective, highly variable, and resource-intensive assessment method may not only introduce inter-rater/intra-rater variability, but also represent a serious limitation in many large-scale training programs. Moreover, poor visualization during the procedure prevents instructors from observing the events occurring within the manikin or the patient, which introduces an additional source of error into the assessment.

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Yellowhorn (Xanthoceras sorbifolium) is a peculiar woody edible oil-bearing tree in China. WRKY transcription factors have specific roles in plant multiple abiotic stress responses. However, it is still not clear that the molecular mechanisms of WRKYs involve in drought tolerance in yellowhorn.

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In this paper, we propose our template-based non-rigid registration algorithm to address the misalignments in the frame-to-frame motion tracking with single or multiple commodity depth cameras. We analyze the deformation in the local coordinates of neighboring nodes and use this differential representation to formulate the regularization term for the deformation field in our non-rigid registration. The local coordinate regularizations vary for each pair of neighboring nodes based on the tracking status of the surface regions.

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Neonatal endotracheal intubation (ETI) is a complex procedure. Low intubation success rates for pediatric residents indicate the current training regimen is inadequate for achieving positive patient out-comes. Computer-based training systems in this field have been limited due to the complex nature of simulating in real-time, the anatomical structures, soft tissue deformations and frequent tool interactions with large forces which occur during actual patient intubation.

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Neonatal endotracheal intubation (ETI) is a resuscitation skill and therefore, requires an effective training regimen with acceptable success rates. However, current training regimen faces some challenges, such as the lack of visualization inside the manikin and quantification of performance, resulting in inaccurate guidance and highly variable manual assessment. We present a Cross Reality (XR) ETI simulation system which registers ETI training tools to their virtual counterparts.

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A photonic approach to realizing anti-chromatic dispersion transmission for a frequency and bandwidth-doubling dual-chirp microwave waveform is proposed and experimentally demonstrated. The system has no requirement on polarization devices or optical filters for only the integrated dual-drive dual-parallel Mach-Zehnder modulator employed. To overcome chromatic dispersion, the carrier frequency suppression approach is proposed.

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In the last decade, 3D modeling techniques enjoyed a booming development in both hardware and software. High-end hardware generates high fidelity results, but the cost is prohibitive, whereas consumer-level devices generate plausible results for entertainment purposes but are not appropriate for medical uses. We present a cost-effective and easy-to-use 3D body reconstruction system using consumer-grade depth sensors, which provides reconstructed body shapes with a high degree of accuracy and reliability appropriate for medical applications.

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We presented the immobilization of ionic liquids on the channel walls of COFs using a post-synthetic strategy. The ionic [Et4NBr]50%-Py-COF afforded a high CO2 adsorption capacity of 164.6 mg g(-1) (1 bar, 273 K) and was developed as an effective heterogeneous catalyst for the transformation of CO2 into value-added formamides under ambient conditions.

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