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Identifying influencing factors and characterizing key issues in urban sustainable development capacity through machine learning

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Chinese Journal of Population,Resources and Environment 2024年第3期22卷 291-304页

作者： Houbo Zhou Lijie Gao Longyu shi Qiuli lva Key Laboratory of Urban Environment and Health Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China University of Chinese Academy of sciences Beijing 100049China

In response to the United Nations sustainable Development Goals and China’s“Dual Carbon”Goals(DCGs means the goals of“Carbon Peak and carbon neutrality”),this paper from the perspective of the construction of China’s Innovation Demonstration Zones for sustainable Development Agenda(IDZsDAs),combines carbon emission-related metrics to construct a comprehensive assessment system for Urban sustainable Development Capacity(UsDC).After obtaining UsDC assessment results through the assessment system,an approach combining Least Absolute shrinkage and selection operator(LAsso)regression and Random Forest(RF)based on machine learning is proposed for identifying influencing factors and characterizing key *** Coupling Coordination Degree(CCD)analysis,the study further summarizes the systemic patterns and future directions of urban sustainable development.A case study on the IDZsDAs from 2015 to 2022 reveals that:(1)the combined identification method based on machine learning and CCD models effectively quantifies influencing factors and key issues in the urban sustainable development process;(2)the correspondence between influencing factors and key subsystems identified by the LAsso-RF combination model is generally consistent with the development situations in various cities;and(3)the machine learning-based combined recognition method is scalable and *** enables decision-makers to accurately identify influencing factors and characterize key issues based on actual urban development needs.

关键词： Urban sustainable development capacity sDGs Dual Carbon Goals Factor identification Issue characterization Machine learning

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Assessment of vascular invasion in gastric cancer: A comparative study

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World Journal of Gastroenterology 2013年第24期19卷 3761-3769页

作者： Letícia Trivellato Gresta Ismael Alves Rodrigues-Júnior Lúcia Porto Fonseca de Castro Geovanni Dantas Cassali Mnica Maria Demas lva-res Cabral Department of Anatomic Pathology and Medicine University Federal of Minas GeraisBelo Horizonte 30130-100 Brazil Institute of Biological sciences University Federal of Minas GeraisBelo Horizonte 31270-901 Brazil

AIM: To evaluate and compare detection of lymphatic and blood vessel invasion (LVI and BVI) by hematox-ylin-eosin (HE) and immunohistochemistry (IHC) in gastric cancer specimens, and to correlate with lymph node status. METHoDs: IHC using D2-40 (a lymphatic endothelial marker) and CD34 (a pan-endothelial marker) was performed to study LVI and BVI in surgical specimens froma consecutive series of 95 primary gastric cancer cases. The results of the IHC study were compared with the detection by HE using McNemar test and kappa index. The morphologic features of the tumors and the presence of LVI and BVI were related to the presence of lymph node metastasis. A χ2 test was performed to obtain associations between LVI and BVI and other prognostic factors for gastric cancer. REsULTs: The detection rate of LVI was considerably higher than that of BVI. The IHC study identified eight false-positive cases and 13 false-negative cases for LVI, and 24 false-positive cases and 10 false-negative cases for BVI. The average Kappa value determined was moderate for LVI (k=0.50) and low for BVI (k=0.20). Both LVI and BVI were statistically associated with the presence of lymph node metastasis (HE: P=0.001, P=0.013, and IHC: P=0.001, P=0.019). The mor-phologic features associated with LVI were location of the tumor in the distal third of the stomach (P=0.039), Borrmann's macroscopic type (P=0.001), organ inva-sion (P=0.03) and the depth of tumor invasion (P=0.001). The presence of BVI was related only to the depth of tumor invasion (P=0.003). CoNCLUsIoN: The immunohistochemical identification of lymphatic and blood vessels is useful for increasing the accuracy of the diagnosis of vessel invasion and for predicting lymph node metastasis.

关键词： Gastric cancer Tumour-node-metastesis staging Lymph node metastasis Predictive factor Lymphatic vessel invasion Blood vessel invasion Immunohistochemistry CD34 D2-40

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利咽雾化液抗炎抑菌作用的实验观察

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中国中西医结合耳鼻咽喉科杂志 2005年第1期13卷 13-16页

作者：张虎张建基张子和程璐郑洪玲山东省章丘市人民医院 250200 山东省济南市儿童医院

目的观察利咽雾化液抗炎抑菌作用效果,验证其安全性。方法给健康小鼠灌胃相当于临床人用量的102倍的药量,验证其安全性;采用二甲苯引起小鼠耳廓肿胀、角叉菜胶引起大鼠足趾肿胀的炎症模型,观察其抗炎作用;采用杯碟法测定利咽雾化液对... 详细信息

目的观察利咽雾化液抗炎抑菌作用效果,验证其安全性。方法给健康小鼠灌胃相当于临床人用量的102倍的药量,验证其安全性;采用二甲苯引起小鼠耳廓肿胀、角叉菜胶引起大鼠足趾肿胀的炎症模型,观察其抗炎作用;采用杯碟法测定利咽雾化液对临床分离的46株临床常见的革兰氏阴性菌和革兰氏阳性菌的体外抗菌作用。结果利咽雾化液对动物无明显毒性,LD50大于144g/kg;对二甲苯引起的小鼠耳廓肿胀及角叉菜胶引起的大鼠足趾肿胀有较好的抗炎作用,体外抑菌实验可见利咽雾化液对临床常见的革兰氏阴性菌和革兰氏阳性菌均具有一定的抑制作用。结论利咽雾化液具有较好的抗炎、抑菌作用,且安全性高。

关键词：利咽雾化液抗炎小鼠常见耳廓肿胀足趾角叉菜胶动物抑菌作用

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