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Advanced Search Results For "Zhang, Baoxian"

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 "Zhang, Baoxian"
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Ultrasound-guided percutaneous radiofrequency ablation in treatment of neuroendocrine tumor liver metastases:a single-center experience

Publication Type: Academic Journal

Source(s): International Journal of Hyperthermia, Vol 39, Iss 1, Pp 497-503 (2022)

Abstract: Purpose To investigate the local tumor control of ultrasound-guided percutaneous radiofrequency ablation (RFA) in treating neuroendocrine tumor liver metastases (NETLM).Materials and methods From March 2011 to December 2020, 23 patients with 39 NETLM t...

Knowledge mapping of image-guided tumor ablation and immunity: A bibliometric analysis

Publication Type: Academic Journal

Source(s): Frontiers in Immunology, Vol 14 (2023)

Abstract: BackgroundVarious ablation techniques have been successfully applied in tumor therapy by locally destroying tumor. In the process of tumor ablation, a large number of tumor cell debris is released, which can be used as a source of tumor antigens and tr...

CO2 emissions from reed litter in the air and on the soil surface in the Yellow River Delta, China

Publication Type: Academic Journal

Source(s): Frontiers in Environmental Science, Vol 10 (2023)

Abstract: The decay of litter in the air (that is, standing litter) and on the ground is an essential process of litter decomposition for many plant species. However, the contribution of standing litter to litter decomposition (e.g., CO2 emission) is still ambig...

A Multiobjective Optimization Approach for Multiobjective Hybrid Flowshop Green Scheduling with Consistent Sublots

Publication Type: Academic Journal

Source(s): Sustainability, Vol 15, Iss 2622, p 2622 (2023)

Abstract: Hybrid flowshop scheduling problems are encountered in many real-world manufacturing scenarios. With increasingly fierce market competition, the production mode of multiple varieties and small batches has gradually been accepted by enterprises, where t...

Machine learning-aided risk prediction for metabolic syndrome based on 3 years study

Publication Type: Academic Journal

Source(s): Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)

Abstract: Abstract Metabolic syndrome (MetS) is a group of physiological states of metabolic disorders, which may increase the risk of diabetes, cardiovascular and other diseases. Therefore, it is of great significance to predict the onset of MetS and the corres...


Characteristics and risk factors of infections in patients with HBV-related acute-on-chronic liver failure: a retrospective study

Publication Type: Academic Journal

Source(s): PeerJ, Vol 10, p e13519 (2022)

Abstract: Background Acute-on-chronic liver failure (ACLF) is a syndrome characterized by acute decompensation, organ failures, and high short-term mortality whose main cause in China is the Hepatitis B virus (HBV). Moreover, one of the most important causes of ...

Characteristics of natural gas accumulation in the Cambrian weathered crust in southwestern Ordos Basin

Publication Type: Academic Journal

Source(s): Natural Gas Industry B, Vol 8, Iss 5, Pp 421-430 (2021)

Abstract: The Cambrian weathered crust formed in the Early Paleozoic central paleouplift of the Ordos Basin and its periphery has always been a key target for oil and gas exploration, and important breakthroughs in oil and gas exploration have been made there. I...

Sleep Staging Using Noncontact-Measured Vital Signs

Publication Type: Academic Journal

Source(s): Journal of Healthcare Engineering, Vol 2022 (2022)

Abstract: As a physiological phenomenon, sleep takes up approximately 30% of human life and significantly affects people’s quality of life. To assess the quality of night sleep, polysomnography (PSG) has been recognized as the gold standard for sleep staging. Th...

PF2RM: A Power Fault Retrieval and Recommendation Model Based on Knowledge Graph

Publication Type: Academic Journal

Source(s): Energies, Vol 15, Iss 1810, p 1810 (2022)

Abstract: Energy saving and emission reduction have become common concerns in countries around the world. In China, with the implementation of the new strategy of “carbon peak and neutrality” and the rapid development of the new smart grid infrastructure, the am...

A Multi-Entity Knowledge Joint Extraction Method of Communication Equipment Faults for Industrial IoT

Publication Type: Academic Journal

Source(s): Electronics, Vol 11, Iss 979, p 979 (2022)

Abstract: The Industrial Internet of Things (IIoT) deploys massive communication devices for information collection and process control. Once it reaches failure, it will seriously affect the operation of the industrial system. This paper proposes a new method fo...