Analyzing interactions between risk factors for ice disaster in Ning-Meng reach of Yellow River based on grey rough DEMATEL method

2019 ◽  
Vol 97 (3) ◽  
pp. 1025-1049 ◽  
Author(s):  
Wenxin Mao ◽  
Wenping Wang ◽  
Dang Luo ◽  
Huifang Sun
Keyword(s):  
Risk Factors ◽  
Yellow River ◽  
Ice Disaster

Comprehensive evaluation of ice disaster risk of the Ningxia–Inner Mongolia Reach in the upper Yellow River

2014 ◽  
Vol 75 (S2) ◽  
pp. 179-197 ◽  
Author(s):  
Cheng-Guo Wu ◽  
Yi-Ming Wei ◽  
Ju-Liang Jin ◽  
Qiang Huang ◽  
Yu-Liang Zhou ◽  
...  
Keyword(s):  
Inner Mongolia ◽  
Comprehensive Evaluation ◽  
Yellow River ◽  
Disaster Risk ◽  
Upper Yellow River ◽  
Ice Disaster

scholarly journals The Microstructure of Yellow River Ice in the Freezing Period

Crystals ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. 484
Author(s):  
Yu Deng ◽  
Zongkun Li ◽  
Juan Wang ◽  
Lukai Xu
Keyword(s):  
Yellow River ◽  
Calculation Model ◽  
Theoretical Research ◽  
River Ice ◽  
The Yellow River ◽  
Test Results ◽  
Ice Crystal ◽  
Ice Surface ◽  
Ice Disaster ◽  
Ice Crystal Size

Accurately determining true ice microstructure and material parameters is a basis for ice disaster theoretical research on the Yellow River. In this work, natural Yellow River ice was collected, and ice crystals parallel and perpendicular to the ice surface were photographed using an orthogonal polarizing mirror. Morphologies of ice microstructure were extracted, and equivalent ice grain sizes were calculated. The results show that Yellow River ice mainly consists of granular ice and columnar ice and vary greatly in different time and space ranges. The ice crystal shape is irregular, and the ice crystal size is larger span, and mainly between 1 mm and 10 mm. Ice crystal initial defects come from bubbles, sediment particles, impurities, and microcracks; among them, bubbles are the most common and have a relatively large impact. In addition, a calculation model of the Yellow River ice microstructure was constructed according to the ice crystal test results. Based on the experimental data and numerical model, the obtained Yellow River ice parameters provide help for analyzing ice disaster mechanisms along the Yellow River.

Elevated level of circulatory sTLT1 induces inflammation through SYK/MEK/ERK signalling in coronary artery disease

2019 ◽  
Vol 133 (22) ◽  
pp. 2283-2299
Author(s):  
Apabrita Ayan Das ◽  
Devasmita Chakravarty ◽  
Debmalya Bhunia ◽  
Surajit Ghosh ◽  
Prakash C. Mandal ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Chronic Inflammation ◽  
Ex Vivo ◽  
Human Subjects ◽  
Critical Role ◽  
Atherosclerotic Cardiovascular Disease ◽  
Tnf Α ◽  
Artery Disease

Abstract The role of inflammation in all phases of atherosclerotic process is well established and soluble TREM-like transcript 1 (sTLT1) is reported to be associated with chronic inflammation. Yet, no information is available about the involvement of sTLT1 in atherosclerotic cardiovascular disease. Present study was undertaken to determine the pathophysiological significance of sTLT1 in atherosclerosis by employing an observational study on human subjects (n=117) followed by experiments in human macrophages and atherosclerotic apolipoprotein E (apoE)−/− mice. Plasma level of sTLT1 was found to be significantly (P<0.05) higher in clinical (2342 ± 184 pg/ml) and subclinical cases (1773 ± 118 pg/ml) than healthy controls (461 ± 57 pg/ml). Moreover, statistical analyses further indicated that sTLT1 was not only associated with common risk factors for Coronary Artery Disease (CAD) in both clinical and subclinical groups but also strongly correlated with disease severity. Ex vivo studies on macrophages showed that sTLT1 interacts with Fcɣ receptor I (FcɣRI) to activate spleen tyrosine kinase (SYK)-mediated downstream MAP kinase signalling cascade to activate nuclear factor-κ B (NF-kB). Activation of NF-kB induces secretion of tumour necrosis factor-α (TNF-α) from macrophage cells that plays pivotal role in governing the persistence of chronic inflammation. Atherosclerotic apoE−/− mice also showed high levels of sTLT1 and TNF-α in nearly occluded aortic stage indicating the contribution of sTLT1 in inflammation. Our results clearly demonstrate that sTLT1 is clinically related to the risk factors of CAD. We also showed that binding of sTLT1 with macrophage membrane receptor, FcɣR1 initiates inflammatory signals in macrophages suggesting its critical role in thrombus development and atherosclerosis.

The Preschool Stuttering Screen for Health Care Professionals

2011 ◽  
Vol 21 (2) ◽  
pp. 59-62
Author(s):  
Joseph Donaher ◽  
Christina Deery ◽  
Sarah Vogel
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Differential Diagnosis ◽  
Preschool Children ◽  
Health Care Professionals ◽  
Healthcare Professionals ◽  
Evidence Based ◽  
Developmental Profile

Healthcare professionals require a thorough understanding of stuttering since they frequently play an important role in the identification and differential diagnosis of stuttering for preschool children. This paper introduces The Preschool Stuttering Screen for Healthcare Professionals (PSSHP) which highlights risk factors identified in the literature as being associated with persistent stuttering. By integrating the results of the checklist with a child’s developmental profile, healthcare professionals can make better-informed, evidence-based decisions for their patients.

Clinical Response to Questions Regarding Outcomes and Therapy Efficacy

2010 ◽  
Vol 20 (3) ◽  
pp. 76-83 ◽  
Author(s):  
Joseph Donaher ◽  
Tom Gurrister ◽  
Irving Wollman ◽  
Tim Mackesey ◽  
Michelle L. Burnett
Keyword(s):  
Risk Factors ◽  
Clinical Response ◽  
Speech Language Pathologists ◽  
Specific Therapy ◽  
Therapy Efficacy ◽  
Therapy Program ◽  
Adults Who Stutter ◽  
Cure Rates

Parents of children who stutter and adults who stutter frequently ask speech-language pathologists to predict whether or not therapy will work. Even though research has explored risk-factors related to persistent stuttering, there remains no way to determine how an individual will react to a specific therapy program. This paper presents various clinicians’answers to the question, “What do you tell parents or adults who stutter when they ask about cure rates, outcomes, and therapy efficacy?”

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