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Article: Desmoplastic small round cell tumor: the report of two cases and literature analysis review of the radiological findings.

Chen, Wenying / Chen, Haimei / Zhao, Chang / Xie, Sidong / Qin, Jie / Liu, Weimin

Quantitative imaging in medicine and surgery

2023 Volume 13, Issue 7, Page(s) 4762–4769

Language	English
Publishing date	2023-05-29
Publishing country	China
Document type	Journal Article
ZDB-ID	2653586-5
ISSN	2223-4306 ; 2223-4292
ISSN (online)	2223-4306
ISSN	2223-4292
DOI	10.21037/qims-22-1344
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Book ; Online: Read It, Don't Watch It

Feng, Sidong / Xie, Mulong / Xue, Yinxing / Chen, Chunyang

Captioning Bug Recordings Automatically

2023

Abstract: Screen recordings of mobile applications are easy to capture and include a wealth of information, making them a popular mechanism for users to inform developers of the problems encountered in the bug reports. However, watching the bug recordings and ... ...

Abstract	Screen recordings of mobile applications are easy to capture and include a wealth of information, making them a popular mechanism for users to inform developers of the problems encountered in the bug reports. However, watching the bug recordings and efficiently understanding the semantics of user actions can be time-consuming and tedious for developers. Inspired by the conception of the video subtitle in movie industry, we present a lightweight approach CAPdroid to caption bug recordings automatically. CAPdroid is a purely image-based and non-intrusive approach by using image processing and convolutional deep learning models to segment bug recordings, infer user action attributes, and generate subtitle descriptions. The automated experiments demonstrate the good performance of CAPdroid in inferring user actions from the recordings, and a user study confirms the usefulness of our generated step descriptions in assisting developers with bug replay. Comment: Accepted to 45th International Conference on Software Engineering (ICSE 2023)
Keywords	Computer Science - Software Engineering
Subject code	004
Publishing date	2023-02-02
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: FI-CEUS: a solution to improve the diagnostic accuracy in MRI LI-RADS-indeterminate (LR-3/4) FLLs at risk for HCC.

Zeng, Qingjing / Xie, Sidong / He, Xuqi / Guo, Yuefei / Wu, Yuxuan / He, Na / Zhang, Lanxia / Yu, Xuan / Zheng, Rongqin / Li, Kai

Frontiers in oncology

2024 Volume 13, Page(s) 1225116

Abstract: Objective: To evaluate the diagnostic accuracy of fusion imaging contrast-enhanced ultrasound (FI-CEUS) of magnetic resonance imaging (MRI) LI-RADS-indeterminate (LR-3/4) and conventional ultrasound undetected focal liver lesions (FLLs) in patients at ... ...

Abstract	Objective: To evaluate the diagnostic accuracy of fusion imaging contrast-enhanced ultrasound (FI-CEUS) of magnetic resonance imaging (MRI) LI-RADS-indeterminate (LR-3/4) and conventional ultrasound undetected focal liver lesions (FLLs) in patients at risk for hepatocellular carcinoma (HCC). Methods: Between February 2020 and July 2021, 71 FLLs in 63 patients were registered for diagnostic performance evaluation respectively for ultrasound-guided thermal ablation evaluation in this retrospective study. Diagnostic performance regarding FLLs was compared between FI-CEUS and contrast-enhanced MRI (CE-MRI). Results: For diagnostic performance evaluation, among 71 lesions in 63 patients, the diagnostic efficacy of FI-CEUS with LI-RADS was significantly higher than that of CE-MRI ( Conclusion: FI-CEUS has a high value in the precise qualitative diagnosis of small FLLs (<2 cm) of MRI LI-RADS-indeterminate diagnosis (LR-3/4) that are undetected by conventional ultrasound in patients at risk for HCC and can be a good supplementary CE-MRI diagnostic method for thermal ablation evaluation.
Language	English
Publishing date	2024-01-17
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2649216-7
ISSN	2234-943X
ISSN	2234-943X
DOI	10.3389/fonc.2023.1225116
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Article ; Online: Long non-coding RNA HAGLROS facilitates tumorigenesis and progression in hepatocellular carcinoma by sponging miR-26b-5p to up-regulate karyopherin α2 (KPNA2) and inactivate p53 signaling.

Tang, Gaofeng / Zhao, Huibo / Xie, Zhantao / Wei, Sidong / Chen, Guoyong

Bioengineered

2022 Volume 13, Issue 3, Page(s) 7829–7846

Abstract: Hepatocellular carcinoma (HCC) is a principal histologic type of liver cancer with high mortality. Long non-coding RNAs (LncRNAs) exert a crucial role in the pathogenesis of human tumors. To date, the functions and mechanisms of lncRNA HAGLROS in HCC are ...

Abstract	Hepatocellular carcinoma (HCC) is a principal histologic type of liver cancer with high mortality. Long non-coding RNAs (LncRNAs) exert a crucial role in the pathogenesis of human tumors. To date, the functions and mechanisms of lncRNA HAGLROS in HCC are rarely reported. In the current study, HAGLROS exhibited a higher level in HCC tissues and cells. HAGLROS expression was positively correlated with tumor size, TNM stage and poor clinical prognosis. Loss-of-function experiments showed that knockdown of HAGLROS significantly lowered cell proliferation, cell cycle progression, migration, invasion and epithelial to mesenchymal transition (EMT) but induced apoptosis
MeSH term(s)	Animals ; Carcinogenesis/genetics ; Carcinoma, Hepatocellular/metabolism ; Cell Line, Tumor ; Cell Movement/genetics ; Cell Proliferation/genetics ; Disease Progression ; Epithelial-Mesenchymal Transition/genetics ; Gene Expression Regulation, Neoplastic ; Humans ; Liver Neoplasms/metabolism ; Mice ; Mice, Nude ; MicroRNAs/genetics ; MicroRNAs/metabolism ; RNA, Long Noncoding/genetics ; RNA, Long Noncoding/metabolism ; Tumor Suppressor Protein p53/genetics ; Tumor Suppressor Protein p53/metabolism ; alpha Karyopherins
Chemical Substances	KPNA2 protein, human ; MicroRNAs ; RNA, Long Noncoding ; Tumor Suppressor Protein p53 ; alpha Karyopherins ; karyopherin alpha 2
Language	English
Publishing date	2022-03-15
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2737830-5
ISSN	2165-5987 ; 2165-5979
ISSN (online)	2165-5987
ISSN	2165-5979
DOI	10.1080/21655979.2022.2049472
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Article ; Online: The Impact of Planting Industry Structural Changes on Carbon Emissions in the Three Northeast Provinces of China

Hongpeng Guo / Sidong Xie / Chulin Pan

International Journal of Environmental Research and Public Health, Vol 18, Iss 705, p

2021 Volume 705

Abstract: This paper focuses on the impact of changes in planting industry structure on carbon emissions. Based on the statistical data of the planting industry in three provinces in Northeast China from 1999 to 2018, the study calculated the carbon emissions, ... ...

Abstract	This paper focuses on the impact of changes in planting industry structure on carbon emissions. Based on the statistical data of the planting industry in three provinces in Northeast China from 1999 to 2018, the study calculated the carbon emissions, carbon absorptions and net carbon sinks of the planting industry by using crop parameter estimation and carbon emissions inventory estimation methods. In addition, the multiple linear regression model and panel data model were used to analyze and test the carbon emissions and net carbon sinks of the planting industry. The results show that: (1). The increase of the planting area of rice, corn, and peanuts in the three northeastern provinces of China will promote carbon emissions, while the increase of the planting area of wheat, sorghum, soybeans, and vegetables will reduce carbon emissions; (2). Fertilizer application, technological progress, and planting structure factors have a significant positive effect on net carbon sinks, among which the changes in the planting industry structure have the greatest impact on net carbon sinks. Based on the comprehensive analysis, it is suggested that, under the guidance of the government, resource endowment and location advantages should be given full play to, and the internal planting structure of crops should be reasonably adjusted so as to promote the development of low-carbon agriculture and accelerate the development process of agricultural modernization.
Keywords	three provinces in Northeast China ; low-carbon agriculture ; plantation structure ; carbon emissions ; net carbon sinks ; Medicine ; R
Subject code	550
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Application of multimodal imaging in the diagnosis of intrahepatic splenosis: Two case reports and a literature review.

Liu, Weimin / Chen, Simin / Chen, Jianning / Jiang, Ting / Quan, Li / Xie, Sidong

BJR case reports

2022 Volume 8, Issue 2, Page(s) 20210170

Abstract: Intrahepatic splenosis is quite rare and is often misdiagnosed as other lesions. We present two cases of intrahepatic splenosis examined with hepatobiliary contrast agents, intravoxel incoherent motion diffusion-weighted imaging and magnetic resonance ... ...

Abstract	Intrahepatic splenosis is quite rare and is often misdiagnosed as other lesions. We present two cases of intrahepatic splenosis examined with hepatobiliary contrast agents, intravoxel incoherent motion diffusion-weighted imaging and magnetic resonance elastography. We discuss various imaging modalities and the roles of various magnetic resonance imaging methods in diagnosis. We also discuss the differentiating features that allow the correct diagnosis to be made and provide a brief review of the literature.
Language	English
Publishing date	2022-01-10
Publishing country	England
Document type	Case Reports
ISSN	2055-7159
ISSN (online)	2055-7159
DOI	10.1259/bjrcr.20210170
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Article ; Online: The Impact of Planting Industry Structural Changes on Carbon Emissions in the Three Northeast Provinces of China.

Guo, Hongpeng / Xie, Sidong / Pan, Chulin

International journal of environmental research and public health

2021 Volume 18, Issue 2

Abstract	This paper focuses on the impact of changes in planting industry structure on carbon emissions. Based on the statistical data of the planting industry in three provinces in Northeast China from 1999 to 2018, the study calculated the carbon emissions, carbon absorptions and net carbon sinks of the planting industry by using crop parameter estimation and carbon emissions inventory estimation methods. In addition, the multiple linear regression model and panel data model were used to analyze and test the carbon emissions and net carbon sinks of the planting industry. The results show that: (1). The increase of the planting area of rice, corn, and peanuts in the three northeastern provinces of China will promote carbon emissions, while the increase of the planting area of wheat, sorghum, soybeans, and vegetables will reduce carbon emissions; (2). Fertilizer application, technological progress, and planting structure factors have a significant positive effect on net carbon sinks, among which the changes in the planting industry structure have the greatest impact on net carbon sinks. Based on the comprehensive analysis, it is suggested that, under the guidance of the government, resource endowment and location advantages should be given full play to, and the internal planting structure of crops should be reasonably adjusted so as to promote the development of low-carbon agriculture and accelerate the development process of agricultural modernization.
MeSH term(s)	Agriculture ; Carbon/analysis ; China ; Edible Grain/chemistry ; Fertilizers
Chemical Substances	Fertilizers ; Carbon (7440-44-0)
Language	English
Publishing date	2021-01-15
Publishing country	Switzerland
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	1660-4601
ISSN (online)	1660-4601
DOI	10.3390/ijerph18020705
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Book ; Online: Efficiency Matters

Feng, Sidong / Xie, Mulong / Chen, Chunyang

Speeding Up Automated Testing with GUI Rendering Inference

2022

Abstract: Due to the importance of Android app quality assurance, many automated GUI testing tools have been developed. Although the test algorithms have been improved, the impact of GUI rendering has been overlooked. On the one hand, setting a long waiting time ... ...

Abstract	Due to the importance of Android app quality assurance, many automated GUI testing tools have been developed. Although the test algorithms have been improved, the impact of GUI rendering has been overlooked. On the one hand, setting a long waiting time to execute events on fully rendered GUIs slows down the testing process. On the other hand, setting a short waiting time will cause the events to execute on partially rendered GUIs, which negatively affects the testing effectiveness. An optimal waiting time should strike a balance between effectiveness and efficiency. We propose AdaT, a lightweight image-based approach to dynamically adjust the inter-event time based on GUI rendering state. Given the real-time streaming on the GUI, AdaT presents a deep learning model to infer the rendering state, and synchronizes with the testing tool to schedule the next event when the GUI is fully rendered. The evaluations demonstrate the accuracy, efficiency, and effectiveness of our approach. We also integrate our approach with the existing automated testing tool to demonstrate the usefulness of AdaT in covering more activities and executing more events on fully rendered GUIs. Comment: Proceedings of the 45th International Conference on Software Engineering
Keywords	Computer Science - Software Engineering
Subject code	006
Publishing date	2022-12-09
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Research Progress of Chitosan-Based Biomimetic Materials.

Zhang, Zhaoyu / Zhang, Lingyu / Li, Chengpeng / Xie, Xiangyu / Li, Guangfa / Hu, Zhang / Li, Sidong

Marine drugs

2021 Volume 19, Issue 7

Abstract: Chitosan is a linear polysaccharide produced by deacetylation of natural biopolymer chitin. Owing to its good biocompatibility and biodegradability, non-toxicity, and easy processing, it has been widely used in many fields. After billions of years of ... ...

Abstract	Chitosan is a linear polysaccharide produced by deacetylation of natural biopolymer chitin. Owing to its good biocompatibility and biodegradability, non-toxicity, and easy processing, it has been widely used in many fields. After billions of years of survival of the fittest, many organisms have already evolved a nearly perfect structure. This paper reviews the research status of biomimetic functional materials that use chitosan as a matrix material to mimic the biological characteristics of bivalves, biological cell matrices, desert beetles, and honeycomb structure of bees. In addition, the application of biomimetic materials in wound healing, hemostasis, drug delivery, and smart materials is briefly overviewed according to their characteristics of adhesion, hemostasis, release, and adsorption. It also discusses prospects for their application and provides a reference for further research and development.
MeSH term(s)	Animals ; Biomimetic Materials ; Chitosan
Chemical Substances	Chitosan (9012-76-4)
Language	English
Publishing date	2021-06-27
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2175190-0
ISSN	1660-3397 ; 1660-3397
ISSN (online)	1660-3397
ISSN	1660-3397
DOI	10.3390/md19070372
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Article ; Online: Research Progress of Chitosan-Based Biomimetic Materials

Zhaoyu Zhang / Lingyu Zhang / Chengpeng Li / Xiangyu Xie / Guangfa Li / Zhang Hu / Sidong Li

Marine Drugs, Vol 19, Iss 7, p

2021 Volume 372

Abstract	Chitosan is a linear polysaccharide produced by deacetylation of natural biopolymer chitin. Owing to its good biocompatibility and biodegradability, non-toxicity, and easy processing, it has been widely used in many fields. After billions of years of survival of the fittest, many organisms have already evolved a nearly perfect structure. This paper reviews the research status of biomimetic functional materials that use chitosan as a matrix material to mimic the biological characteristics of bivalves, biological cell matrices, desert beetles, and honeycomb structure of bees. In addition, the application of biomimetic materials in wound healing, hemostasis, drug delivery, and smart materials is briefly overviewed according to their characteristics of adhesion, hemostasis, release, and adsorption. It also discusses prospects for their application and provides a reference for further research and development.
Keywords	chitosan ; biomimetic materials ; mussels ; cell matrix ; Biology (General) ; QH301-705.5
Subject code	540
Language	English
Publishing date	2021-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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