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Article ; Online: Dynamic Changes in the Renal Function of Acute Myocardial Infarction Patients with Reduced eGFR After Emergency Percutaneous Coronary Intervention.

Fan, Jihong / Liu, Jianghong / Wang, Gang / Liu, Ruifeng

2023 Volume 64, Issue 5, Page(s) 798–806

Abstract: Renal dysfunction greatly influences decision-making for emergency percutaneous coronary intervention (PCI) in patients with acute myocardial infarction (AMI). This observational study investigated renal function changes and risk factors for renal injury ...

Abstract	Renal dysfunction greatly influences decision-making for emergency percutaneous coronary intervention (PCI) in patients with acute myocardial infarction (AMI). This observational study investigated renal function changes and risk factors for renal injury in patients with AMI with reduced estimated glomerular filtration rate (eGFR) who underwent emergency PCI. The study included 85 patients with AMI with decreased eGFR who underwent emergency PCI, categorized into stage 2, 3, and 4 chronic kidney disease groups. Baseline data, laboratory indicators, coronary characteristics, and serum creatinine concentration were monitored at multiple time points. Renal injury was defined using two criteria: an increase in serum creatinine level by 0.3 mg/dL or a 50% increase from baseline. During the 1-year follow-up, renal injury incidence varied from 1.18% to 15.29%. The pattern showed an increasing trend in the 1st week after PCI, peaking at 1 week, followed by a decrease at 3 months, and another increase at one year. Low basal eGFR, high contrast agent dosage, and diabetes were associated with renal injury according to logistic regression analysis. The eGFR cutoff value of 35.475 mL/minute·1.73 m
MeSH term(s)	Humans ; Glomerular Filtration Rate ; Percutaneous Coronary Intervention/adverse effects ; Creatinine ; Myocardial Infarction/complications ; Myocardial Infarction/surgery ; Kidney/physiology ; Risk Factors
Chemical Substances	Creatinine (AYI8EX34EU)
Language	English
Publishing date	2023-09-13
Publishing country	Japan
Document type	Observational Study ; Journal Article
ZDB-ID	2187806-7
ISSN	1349-3299 ; 1349-2365
ISSN (online)	1349-3299
ISSN	1349-2365
DOI	10.1536/ihj.23-102
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Article ; Online: Offshore Oil Platform Detection in Polarimetric SAR Images Using Level Set Segmentation of Limited Initial Region and Convolutional Neural Network

Chun Liu / Jian Yang / Jianghong Ou / Dahua Fan

Remote Sensing, Vol 14, Iss 1729, p

2022 Volume 1729

Abstract: Offshore oil platforms are difficult to detect due to the complex sea state, the sparseness of target distribution, and the similarity of targets with ships. In this paper, we propose an oil platform detection method in polarimetric synthetic aperture ... ...

Abstract	Offshore oil platforms are difficult to detect due to the complex sea state, the sparseness of target distribution, and the similarity of targets with ships. In this paper, we propose an oil platform detection method in polarimetric synthetic aperture radar (PolSAR) images using level set segmentation of a limited initial region and a convolutional neural network (CNN). Firstly, to reduce the interference of sea clutter, the offshore strong scattering targets were initially detected by the generalized optimization of polarimetric contrast enhancement (GOPCE) detector. Secondly, to accurately locate the contour of targets and eliminate false alarms, the coarse results were refined using an improved level set segmentation method. An algorithm for splitting and merging the smallest enclosing circle (SMSEC) was proposed to cover the coarse results and obtain the initial level set function. Finally, the LeNet-5 CNN model was used to classify the oil platforms and ships. Experimental results using multiple sets of polarimetric SAR data acquired by RADARSAT-2 show that the performance of the proposed method, including the detection rate, the false alarm rate, and the Intersection over Union (IOU) index between the extracted ROI and the ground truth, is better than the performance of a method that combines a GOPCE detector and a support vector machine classifier.
Keywords	oil platform detection ; polarimetric SAR ; level set segmentation ; smallest enclosing circle ; convolutional neural network (CNN) ; Science ; Q
Subject code	380
Language	English
Publishing date	2022-04-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Offshore Bridge Detection in Polarimetric SAR Images Based on Water Network Construction Using Markov Tree

Chun Liu / Jian Yang / Jianghong Ou / Dahua Fan

Remote Sensing, Vol 14, Iss 16, p

2022 Volume 3888

Abstract: It is difficult to detect bridges in synthetic aperture radar (SAR) images due to the inherent speckle noise of SAR images, the interference generated by strong coastal scatterers, and the diversity of bridge and coastal terrain morphologies. In this ... ...

Abstract	It is difficult to detect bridges in synthetic aperture radar (SAR) images due to the inherent speckle noise of SAR images, the interference generated by strong coastal scatterers, and the diversity of bridge and coastal terrain morphologies. In this paper, we present a two-step bridge detection method for polarimetric SAR imagery, in which the probability graph model of a Markov tree is used to build the water network, and bridges are detected by traversing the graph of the water network to determine all adjacent water branch pairs. In the step of the water network construction, candidate water branches are first extracted by using a region-based level set segmentation method. The water network is then built globally as a tree by connecting the extracted water branches based on the probabilistic graph model of a Markov tree, in which a node denotes a single branch and an edge denotes the connection of two adjacent branches. In the step of the bridge detection, all adjacent water branch pairs related to bridges are searched by traversing the constructed tree. Each bridge is finally detected by merging the two contours of the corresponding branch pair. Three polarimetric SAR data acquired by RADARSAT-2 covering Singapore and Lingshui, China, and by TerraSAR-X covering Singapore, are used for testing. The experimental results show that the detection rate, the false alarm rate, and the intersection over union (IoU) between the recognized bridge body and the ground truth are all improved by using the proposed method, compared to the method that constructs a water network based on water branches merging by contour distance.
Keywords	bridge detection ; polarimetric synthetic aperture radar (PolSAR) ; water network connection ; graph model ; Markov tree ; Science ; Q
Subject code	000
Language	English
Publishing date	2022-08-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Offshore Bridge Detection in Polarimetric SAR Images Based on Water Network Construction Using Markov Tree

Liu, Chun / Yang, Jian / Ou, Jianghong / Fan, Dahua

Remote Sensing. 2022 Aug. 11, v. 14, no. 16

2022

Abstract	It is difficult to detect bridges in synthetic aperture radar (SAR) images due to the inherent speckle noise of SAR images, the interference generated by strong coastal scatterers, and the diversity of bridge and coastal terrain morphologies. In this paper, we present a two-step bridge detection method for polarimetric SAR imagery, in which the probability graph model of a Markov tree is used to build the water network, and bridges are detected by traversing the graph of the water network to determine all adjacent water branch pairs. In the step of the water network construction, candidate water branches are first extracted by using a region-based level set segmentation method. The water network is then built globally as a tree by connecting the extracted water branches based on the probabilistic graph model of a Markov tree, in which a node denotes a single branch and an edge denotes the connection of two adjacent branches. In the step of the bridge detection, all adjacent water branch pairs related to bridges are searched by traversing the constructed tree. Each bridge is finally detected by merging the two contours of the corresponding branch pair. Three polarimetric SAR data acquired by RADARSAT-2 covering Singapore and Lingshui, China, and by TerraSAR-X covering Singapore, are used for testing. The experimental results show that the detection rate, the false alarm rate, and the intersection over union (IoU) between the recognized bridge body and the ground truth are all improved by using the proposed method, compared to the method that constructs a water network based on water branches merging by contour distance.
Keywords	Markov chain ; Singapore ; landscapes ; models ; polarimetry ; synthetic aperture radar ; trees ; China
Language	English
Dates of publication	2022-0811
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2513863-7
ISSN	2072-4292
ISSN	2072-4292
DOI	10.3390/rs14163888
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: How Science Is Driving Regulatory Guidances.

Yang, Xinning / Fan, Jianghong / Zhang, Lei

Methods in molecular biology (Clifton, N.J.)

2021 Volume 2342, Page(s) 595–629

Abstract: This chapter provides regulatory perspectives on how to translate in vitro drug metabolism findings into in vivo drug-drug interaction (DDI) predictions and how this affects the decision of conducting in vivo DDI evaluation. The chapter delineates ... ...

Abstract	This chapter provides regulatory perspectives on how to translate in vitro drug metabolism findings into in vivo drug-drug interaction (DDI) predictions and how this affects the decision of conducting in vivo DDI evaluation. The chapter delineates rationale and analyses that have supported the recommendations in the U.S. Food and Drug Administration (FDA) DDI guidances in terms of in vitro-in vivo extrapolation of cytochrome P450 (CYP) inhibition-mediated DDI potential for investigational new drugs and their metabolites as substrates or inhibitors. The chapter also describes the framework and considerations to assess UDP-glucuronosyltransferase (UGT) inhibition-mediated DDI potential for drugs as substrates or inhibitors. The limitations of decision criteria and further improvements needed are also discussed. Case examples are provided throughout the chapter to illustrate how decision criteria have been utilized to evaluate in vivo DDI potential from in vitro data.
MeSH term(s)	Cytochrome P-450 Enzyme Inhibitors/pharmacology ; Cytochrome P-450 Enzyme System/chemistry ; Cytochrome P-450 Enzyme System/metabolism ; Drug Interactions ; Enzyme Inhibitors/pharmacology ; Glucuronosyltransferase/antagonists & inhibitors ; Glucuronosyltransferase/chemistry ; Glucuronosyltransferase/metabolism ; Humans ; Kinetics ; Legislation, Drug/organization & administration ; Practice Guidelines as Topic ; United States ; United States Food and Drug Administration/legislation & jurisprudence
Chemical Substances	Cytochrome P-450 Enzyme Inhibitors ; Enzyme Inhibitors ; Cytochrome P-450 Enzyme System (9035-51-2) ; Glucuronosyltransferase (EC 2.4.1.17)
Language	English
Publishing date	2021-04-30
Publishing country	United States
Document type	Journal Article
ISSN	1940-6029
ISSN (online)	1940-6029
DOI	10.1007/978-1-0716-1554-6_19
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A Study of Industry-university-institute Cooperative Education in Colleges and Universities against the Background of Emerging Engineering Education

Fan Weijie / Fan Yangzu / Zhang Ju / Mao Jianghong / Li Qiang

SHS Web of Conferences, Vol 96, p

2021 Volume 03001

Abstract: With emerging engineering education becoming a new strategic direction of the higher engineering education reform in China, it is an important issue faced by colleges and universities to comprehensively improve their abilities of training talent, ... ...

Abstract	With emerging engineering education becoming a new strategic direction of the higher engineering education reform in China, it is an important issue faced by colleges and universities to comprehensively improve their abilities of training talent, conducting scientific research and serving the society. Promoting industry-university-institute cooperation is a key measure for colleges and universities to keep up with the pace of higher education and socio-economic development. Colleges and universities need to improve the industry-university-institute cooperative talent training mechanism, and establish an industry-university-institute cooperative education system based on public technology service platforms, to promote the combination of technology and production through cooperative education based on their current situation of research, push forward the supply side reform of higher education, and provide human resources, technical support and industrial services for social development against the background of emerging engineering education. While enhancing their levels of scientific research and education, colleges and universities can promote social progress and help enterprises create economic benefits, to achieve win-win cooperation with all relevant parties in the society.
Keywords	industry-university-institute cooperative ; emerging engineering education ; education system ; Social Sciences ; H
Subject code	370
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	EDP Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Systematic Microwave-Assisted Postsynthesis of Mn-Doped Cesium Lead Halide Perovskites with Improved Color-Tunable Luminescence and Stability.

Zhang, Yaheng / Fan, Chao / Tang, Jianghong / Huang, Gaoming / Qiang, Xinfa / Fu, Yu / Zhou, Wenjuan / Wu, Juan / Huang, Shouqiang

Nanomaterials (Basel, Switzerland)

2022 Volume 12, Issue 15

Abstract: The metal doping at the ... ...

Abstract	The metal doping at the Pb
Language	English
Publishing date	2022-07-23
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2662255-5
ISSN	2079-4991
ISSN	2079-4991
DOI	10.3390/nano12152535
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Article ; Online: Enhancement of Tumor Perfusion and Antiangiogenic Therapy in Murine Models of Clear Cell Renal Cell Carcinoma Using Ultrasound-Stimulated Microbubbles.

Wang, Juan / Luo, Tingting / Chen, Jianghong / Liu, Zheng / Zhang, Xiaolin / Li, Hui / Ma, Yulin / Zhang, Fan / Ju, Hongjuan / Wang, Wengang / Wang, Yueheng / Zhu, Qiong

Ultrasound in medicine & biology

2024 Volume 50, Issue 5, Page(s) 680–689

Abstract: Objective: To explore the effect of ultrasound-stimulated microbubble cavitation (USMC) on enhancing antiangiogenic therapy in clear cell renal cell carcinoma.: Materials and methods: We explored the effects of USMC with different mechanical indices ( ...

Abstract	Objective: To explore the effect of ultrasound-stimulated microbubble cavitation (USMC) on enhancing antiangiogenic therapy in clear cell renal cell carcinoma. Materials and methods: We explored the effects of USMC with different mechanical indices (MIs) on tumor perfusion, 36 786-O tumor-bearing nude mice were randomly assigned into four groups: (i) control group, (ii) USMC Results: Tumor blood perfusion enhanced by USMC with low MI (0.25)could last for more than 6h, inducing tumor VN and promoting drug delivery. Compared with other groups, USMC Conclusion: The optimized USMC is a promising therapeutic approach that can be combined with antiangiogenic therapy to combat tumor progression.
MeSH term(s)	Mice ; Animals ; Carcinoma, Renal Cell/diagnostic imaging ; Carcinoma, Renal Cell/drug therapy ; Mice, Nude ; Microbubbles ; Disease Models, Animal ; Perfusion ; Kidney Neoplasms/diagnostic imaging ; Kidney Neoplasms/drug therapy
Language	English
Publishing date	2024-02-03
Publishing country	England
Document type	Journal Article
ZDB-ID	186150-5
ISSN	1879-291X ; 0301-5629
ISSN (online)	1879-291X
ISSN	0301-5629
DOI	10.1016/j.ultrasmedbio.2024.01.006
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Zs.A 963: Show issues

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Article ; Online: Intermittent fasting improves glucose homeostasis not entirely dependent on caloric restriction in db/db male mice.

Zheng, Dinghao / Hong, Xiaosi / He, Xiaodan / Lin, Jianghong / Fan, Shujin / Wu, Jinli / Liang, Zhuoxian / Chen, Sifan / Yan, Li / Ren, Meng / Wang, Wei

Diabetes

2024

Abstract: Intermittent fasting (IF), which involves prolonged fasting intervals accompanied by caloric restriction, is an effective dietary treatment for obesity and diabetes. Although IF offers many benefits, it is difficult to determine whether these benefits ... ...

Abstract	Intermittent fasting (IF), which involves prolonged fasting intervals accompanied by caloric restriction, is an effective dietary treatment for obesity and diabetes. Although IF offers many benefits, it is difficult to determine whether these benefits are the consequences of caloric restriction. Every-other-day feeding (EODF) is a commonly used IF research model. This study was designed to identify other effectors of EODF, in addition to caloric restriction, and the possible underlying mechanisms. Diabetic db/db mice were divided into three groups: ad libitum (AL), meal-feeding (MF) and EODF. The MF model was employed to attain a level of caloric restriction comparable to EODF, with food distribution evenly divided between 10 AM and 6 PM, thereby minimizing the fasting interval. EODF yielded greater improvements in glucose homeostasis than MF in db/db mice by reducing fasting glucose levels and enhancing glucose tolerance. However, these effects on glucose metabolism were less pronounced in lean mice. Furthermore, ubiquitination of the liverspecific glucocorticoid receptor (GR) facilitated its degradation, and downregulating Kruppel-like factor 9 (KLF9), which ultimately suppressed liver gluconeogenesis in diabetic EODF mice. Although GR and KLF9 might mediate the metabolic benefits of EODF, the potential benefits of EODF might be limited by elevated serum glucocorticoid (GC) levels in diabetic EODF mice. Overall, this study suggests that the metabolic benefits of EODF in improving glucose homeostasis are independent of caloric restriction, possibly due to the downstream effects of liver-specific GR degradation.
Language	English
Publishing date	2024-03-19
Publishing country	United States
Document type	Journal Article
ZDB-ID	80085-5
ISSN	1939-327X ; 0012-1797
ISSN (online)	1939-327X
ISSN	0012-1797
DOI	10.2337/db23-0157
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Uh III Zs.175: Show issues

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Article ; Online: Computational Model of In Vivo Corneal Pharmacokinetics and Pharmacodynamics of Topically Administered Ophthalmic Drug Products.

German, Carrie / Chen, Zhijian / Przekwas, Andrzej / Walenga, Ross / Babiskin, Andrew / Zhao, Liang / Fan, Jianghong / Tan, Ming-Liang

Pharmaceutical research

2023 Volume 40, Issue 4, Page(s) 961–975

Abstract: Introduction: Although the eye is directly accessible on the surface of the human body, drug delivery can be extremely challenging due to the presence of multiple protective barriers in eye tissues. Researchers have developed complex formulation ... ...

Abstract	Introduction: Although the eye is directly accessible on the surface of the human body, drug delivery can be extremely challenging due to the presence of multiple protective barriers in eye tissues. Researchers have developed complex formulation strategies to overcome these barriers to ophthalmic drug delivery. Current development strategies rely heavily on in vitro experiments and animal testing to predict human pharmacokinetics (PK) and pharmacodynamics (PD). Objective: The primary objective of the study was to develop a high-fidelity PK/PD model of the anterior eye for topical application of ophthalmic drug products. Methods: Here, we present a physiologically-based in silico approach to predicting PK and PD in rabbits after topical administration of ophthalmic products. A first-principles based approach was used to describe timolol dissolution, transport, and distribution, including consideration of ionized transport, following topical instillation of a timolol suspension. Results: Using literature transport and response parameters, the computational model described well the concentration-time and response-time profiles in rabbit. Comparison of validated rabbit model results and extrapolated human model results demonstrate observable differences in the distribution of timolol at multiple time points. Conclusion: This modeling framework provides a tool for model-based prediction of PK in eye tissues and PD after topical ophthalmic drug administration to the eyes.
MeSH term(s)	Animals ; Humans ; Rabbits ; Timolol/pharmacokinetics ; Ophthalmic Solutions/pharmacokinetics ; Eye ; Cornea ; Administration, Topical
Chemical Substances	Timolol (817W3C6175) ; Ophthalmic Solutions
Language	English
Publishing date	2023-03-23
Publishing country	United States
Document type	Journal Article
ZDB-ID	843063-9
ISSN	1573-904X ; 0724-8741 ; 0739-0742
ISSN (online)	1573-904X
ISSN	0724-8741 ; 0739-0742
DOI	10.1007/s11095-023-03480-6
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