Publications by authors named "Yong Xian"

Nanomaterials and nanotechnology innovations possess unique physicochemical properties that present new opportunities in the realm of stroke detection, diagnosis, and treatment. This comprehensive review explores the utilization of nanomaterials in the diagnosis and treatment of strokes, encompassing recent advancements in computed tomography (CT), magnetic resonance imaging (MRI) and magnetic particle imaging (MPI), as well as groundbreaking applications of nanomaterials and bionanomaterials in drug delivery systems and brain tissue repair. Additionally, this review meticulously examines significant challenges such as biocompatibility toxicity and long-term safety, proposing potential strategies to surmount these obstacles.

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To lighten the workload of train drivers and enhance railway transportation safety, a novel and intelligent method for railway turnout identification is investigated based on semantic segmentation. More specifically, a railway turnout scene perception (RTSP) dataset is constructed and annotated manually in this paper, wherein the innovative concept of side rails is introduced as part of the labeling process. After that, based on the work of Deeplabv3+, combined with a lightweight design and an attention mechanism, a railway turnout identification network (RTINet) is proposed.

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Due to the high cost of equipment and the constraints of shooting conditions, obtaining aerial infrared images of specific targets is very challenging. Most methods using Generative Adversarial Networks for translating visible images to infrared greatly depend on registered data and struggle to handle the diversity and complexity of scenes in aerial infrared targets. This paper proposes a one side end-to-end unpaired aerial visible-to-infrared image translation algorithm, termed AerialIRGAN.

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Article Synopsis
  • The study examines toxic metal contamination in river sediments, focusing on the Xiaoqing River and its potential risks to ecosystems and human health.
  • It utilizes various analytical methods, including the geo-accumulation index and principal component analysis, to evaluate pollution levels and sources over time, finding that mercury is the major contaminant.
  • The research identifies different pollution source trends between 1996-2010 and 2011-2020, highlighting the significant influence of factors like water pH and population density on metal distribution in the river sediments.
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Article Synopsis
  • * It evaluates the ecological and health risks of heavy metals found in sediment samples using methods like the geo-accumulation index and ecological risk assessments, revealing that metals such as Hg and Cd pose high ecological risks while Pb, As, Ni, and Cr are less concerning.
  • * The research identifies three sources of heavy metals: a mixed source (Hg, Cr, Pb), an agricultural source (Ni, Cd, As), and a natural source (Pb, Ni), providing insights for preventing heavy metal pollution and promoting sustainable urban development
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To realize the error parameter estimation of strap-down inertial navigation system (SINS) and improve the navigation accuracy for aircraft, a hybrid improved restricted Boltzmann machine BP neural network (IRBM-BPNN) approach, which combines restricted Boltzmann machine (RBM) and BP neural network (BPNN), is proposed to forecast the inertial measurement unit (IMU) instrument errors and initial alignment errors of SINS. Firstly, the error generation mechanism of SINS is analyzed, and initial alignment error model and IMU instrument error model are established. Secondly, an unsupervised RBM method is introduced to initialize BPNN to improve the forecast performance of the neural network.

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The differential diagnoses for chronic peripheral neuropathy are broad and diagnosing a cause can be challenging. We present a case of isolated perineural spread of adenoid cystic carcinoma to the trigeminal nerve involving skull base foramina and Meckel's cave in the setting of chronic trigeminal neuropathy and no known prior malignancy. Computed tomography-guided core (CT) needle biopsy was needed to arrive at a diagnosis and a novel approach was required to obtain tissue from the trigeminal nerve lesion at foramen ovale.

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Aim: The aim of the study is to investigate the underlying molecular mechanisms by which gemcitabine (gem) inhibits proliferation and induces apoptosis in human pancreatic cancer PANC-1 cells in vitro.

Materials And Methods: After PANC-1 cells had been treated by indicated concentration (0, 5, and 25 mg/L) of gem for 48 h, cell proliferation was evaluated by 3'-(4, 5 dimethyl-thiazol-2-yl)-2, 5-diphenyl tetrazolium bromide assay; cell morphology was observed by transmission electron microscopy; Expression of c-IAP2 and Bcl-2 proteins was analyzed by Western blot; the activity of caspase-3 and -9 was detected by spectrophotometry.

Results: Gem significantly inhibited cell proliferation and could induce apoptosis of human pancreatic cancer PANC-1 cells, with a dose-dependent manner.

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Background: With improved accessibility and increasing use of magnetic resonance imaging (MRI) to evaluate low back pain, general practitioners are exposed to a set of recommended terminology used among the various specialties involved in lumbar spinal conditions.

Objective: This article aims to illustrate these descriptive terms, the various lumbar spinal pathology and its clinical implications regarding management.

Discussion: MRI may be useful in specific clinical situations in lumbar back pain, however, the importance of a thorough clinical assessment cannot be overstated.

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We synthesized a novel (18)F-labeled dopamine D(4) receptor antagonist (Ki=4.3 nM), 3-(4-[(18)F]fluorobenzyl)-8-methoxy-1,2,3,4-tetrahydrochromeno[3,4-c]pyridin-5-one ([(18)F]FMTP), which has exhibited high affinity and selectivity. Radiosyntheses were accomplished by the reaction of fluorine-18-labeled intermediate with 8-methoxy-1,2,3,4-tetrahydrochromeno[3,4-c]pyridin-5-one (1) followed by HPLC purification.

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