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DCUN1D5 is a prognostic biomarker and correlated immune infiltrates and glycolysis in lung adenocarcinoma
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Prenatal MRI for the diagnosis of foetal pial arteriovenous fistula: a case report and literature review
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Atomic structure, diffusivity and viscosity of Al1-xMgx melts from ab initio molecular dynamics simulations
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EXPRESSION OF OXIDATIVE STRESS AND INFLAMMATORY INDICATORS FOR CORONARY ARTERY DISEASE IN KAWASAKI DISEASE
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Multicenter Surveillance of Pseudomonas aeruginosa Isolates From Blood: Clinical Distribution Characteristics and Antibiotic Resistance Trends in Hebei Province, China (2016–...
Published 2025-02-01“…Cuixin Qiang,1,* Xiaoxuan Liu,1,* Pu Qin,1 Hainan Wen,2 Zhirong Li,1 Jing Yang,1 Yanan Niu,1 Weigang Wang,1 Zirou Ouyang,1 Min Zhao,1 Jiayiren Li,1 Yulian Zhang,1 Jianhong Zhao1 1The Second Hospital of Hebei Medical University, Hebei Provincial Center for Clinical Laboratories, Shijiazhuang, Hebei, People’s Republic of China; 2Department of Laboratory Medicine, Affiliated Hospital of Chengde Medical University, Chengde, Hebei, People’s Republic of China*These authors contributed equally to this workCorrespondence: Jianhong Zhao, The Second Hospital of Hebei Medical University, Hebei Provincial Center for Clinical Laboratories, Shijiazhuang, Hebei, People’s Republic of China, Tel +86 0311 66002711, Email zhaojh_2002@hebmu.edu.cnPurpose: To analyze the clinical distribution and antimicrobial resistance of Pseudomonas aeruginosa (P. aeruginosa) isolated from blood specimens in 75 hospitals in Hebei Province from 2016 to 2021 to aid in the rational selection of antimicrobial drugs.Patients and Methods: WHONET 5.6 and SPSS 24.0 were used to retrospectively analyze clinical distribution characteristics and variations in drug-resistance.Results: Between 2016 and 2021, 2208 P. aeruginosa strains were detected in blood specimens from Hebei Province. …”
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Research progress of GLP-1RAs in the treatment of type 2 diabetes mellitus
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Crystal structure of 1-(4–chlorophenyl)-4-benzoyl-3-methyl-1H-pyrazol-5-ol, C17H13ClN2O2
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Ecological Vulnerability Assessment Integrating the Spatial Analysis Technology with Algorithms: A Case of the Wood-Grass Ecotone of Northeast China
Published 2013-01-01“…The deterioration zone was concentrating in the area of Da Hinggan Ling Mountain, including Xingan League, Chifeng, Tongliao, and Chengde, whereas the improvement zone was distributing in the north-central of Hulunbeier.…”
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Spatial-Temporal Evolution Characteristics and Influencing Factors of Vegetation NDVI in Hebei Province
Published 2024-01-01“…In order to explore the vegetation growth status and influencing factors,Hebei Province is taken as the research area.Based on satellite remote sensing data and meteorological data,the Mann-Kendall trend test,Sen slope,and partial correlation analysis are used to explore the temporal and spatial distribution characteristics of vegetation in Hebei Province,and the influencing factors of vegetation NDVI change in Hebei Province are analyzed by combining the correlation among NDVI,climatic factors,and human activities.The results show that ① the NDVI value of vegetation in Hebei Province from 2001 to 2020 shows an overall growth trend,with an average annual growth rate of 2.84×10<sup>-3</sup>.Specifically,it shows a rapid growth trend from 2001 to 2005 and a slow growth trend from 2005 to 2020, with fluctuations.②The NDVI value of vegetation in the study area increases gradually from south to north,and the vegetation improvement area (81.71%) is greater than that in the degraded area (13.79%),and the improvement area is mainly concentrated in Chengde and Zhangjiakou City.③Human activities (GDP) are one of the main influencing factors affecting the growth of NDVI,followed by climatic factors (precipitation and temperature).The change in GDP has a significant impact on vegetation growth,and the improvement of vegetation in Hebei Province is mainly related to forest land and grassland.Among the climatic factors,precipitation is the main influencing factor.…”
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Relationship between four healthy lifestyle factors and all-cause and cardiovascular disease mortality among residents aged 35 – 75 years in Hebei province
Published 2024-12-01“…MethodsData were collected from 48 377 residents aged 35 – 75 years in 11 districts and counties of Hebei province (Daming county, Handan city; Qinghe county, Xingtai city; Xuanhua district, Zhangjiakou city; Yuhua district, Shijiazhuang city; Chengde county, Chengde city; Sanhe city, Langfang city; Quyang county, Baoding city; Huanghua city, Cangzhou city; Shenzhou city, Hengshui city; Zunhua city, Tangshan city; and Funing district, Qinhuangdao city) who participated in the National Early Screening and Comprehensive Intervention Program for High-Risk Populations of CVD from September 2016 to December 2022. …”
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Balancing nutrition for successful reproduction in ruminants
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