Ice and Snow Damage and Subsequent Sprouting of Cunninghamia lanceolata (Taxodiaceae) Plantation and Their Related-Factors Analysis

2010 ◽  
Vol 32 (2) ◽  
pp. 158-166 ◽  
Author(s):  
Hong-Jun LI ◽  
Peng LIU ◽  
Zhi-Xiang ZHANG ◽  
Wei-Xin CHEN ◽  
Zhi-Jun QIU ◽  
...  
Keyword(s):  
Cunninghamia Lanceolata ◽  
Related Factors ◽  
Factors Analysis ◽  
Snow Damage

Analysis of Characterizing Phases on Waveforms: An Application to Vertical Jumps

2014 ◽  
Vol 30 (2) ◽  
pp. 316-321 ◽  
Author(s):  
Chris Richter ◽  
Noel E. O’Connor ◽  
Brendan Marshall ◽  
Kieran Moran
Keyword(s):  
Rate Of Force Development ◽  
Discrete Point ◽  
Related Factors ◽  
Data Set ◽  
Force Development ◽  
Factors Analysis ◽  
Point Analysis ◽  
Time Domains ◽  
Force Curves ◽  
Vertical Jumps

The aim of this study is to propose a novel data analysis approach, ananalysis of characterizing phases(ACP), that detects and examines phases of variance within a sample of curves utilizing the time, magnitude, and magnitude-time domains; and to compare the findings of ACP to discrete point analysis in identifying performance-related factors in vertical jumps. Twenty-five vertical jumps were analyzed. Discrete point analysis identified the initial-to-maximum rate of force development (P= .006) and the time from initial-to-maximum force (P= .047) as performance-related factors. However, due to intersubject variability in the shape of the force curves (ie, non-, uni- and bimodal nature), these variables were judged to be functionally erroneous. In contrast, ACP identified the ability to apply forces for longer (P< .038), generate higher forces (P< .027), and produce a greater rate of force development (P< .003) as performance-related factors. Analysis of characterizing phases showed advantages over discrete point analysis in identifying performance-related factors because it (i) analyses only related phases, (ii) analyses the whole data set, (iii) can identify performance-related factors that occur solely as a phase, (iv) identifies the specific phase over which differences occur, and (v) analyses the time, magnitude and combined magnitude-time domains.

Efficacy and related factors analysis in HMME-PDT in the treatment of port wine stains

2020 ◽  
Vol 29 ◽  
pp. 101649 ◽  
Author(s):  
Dan-chen Li ◽  
Xiang Nong ◽  
Zhang-yi Hu ◽  
Tian-wen Fang ◽  
Ting-ting Zhao ◽  
...  
Keyword(s):  
Port Wine ◽  
Related Factors ◽  
Port Wine Stains ◽  
Factors Analysis

Factors Analysis about the Dam-Break of the Uranium Tailings

2014 ◽  
Vol 1051 ◽  
pp. 495-499
Author(s):  
Fang Ke Lv ◽  
Yong Liu ◽  
Zan Guo
Keyword(s):  
Safety Monitoring ◽  
Environment Pollution ◽  
Property Damage ◽  
Practical Situation ◽  
Related Factors ◽  
Structure Damage ◽  
Tailings Impoundment ◽  
Factors Analysis ◽  
Hazard Sources ◽  
Uranium Tailings

The uranium tailings is a typical major hazard sources because of its specificity, which could cause serious casualties, property damage and environment pollution in the event of an accident, and thus calls for the attention of everyone. In this paper, we will connect with the practical situation of the uranium tailings, identifying the factors of the dam, such as stability failure of dam slope, overtopping, structure damage, seepage damage and so on. To analyze the related factors and put forward countermeasures based on the analyzed results to control the harmful factors, this will lay the foundation for improving the safety monitoring and security management of uranium tailings impoundment.

scholarly journals ARTERIAL STIFFNESS EVALUATION BY PULSE WAVE VELOCITY AND ITS RELATED FACTORS ANALYSIS IN SHOUGANG CORPORATION WORKERS OF CHINA

Heart ◽  
2012 ◽  
Vol 98 (Suppl 2) ◽  
pp. E138.2-E138
Author(s):  
Jinbo Liu ◽  
Qi Wang ◽  
Ran Ma ◽  
Qi Liu ◽  
Na Zhao ◽  
...  
Keyword(s):  
Arterial Stiffness ◽  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Pulse Wave ◽  
Related Factors ◽  
Factors Analysis ◽  
Stiffness Evaluation

scholarly journals Field Vibration Feature and Related Factors Analysis of 110kV Transformers

2021 ◽  
Vol 714 (4) ◽  
pp. 042078
Author(s):  
Xiaowen Wu ◽  
Xiaozhong Wu ◽  
Lihua Xiao ◽  
Hao Cao ◽  
Sheng Hu
Keyword(s):  
Related Factors ◽  
Factors Analysis

Responses of Water Holding Characteristic of Crown Debris and Litter in a Cunninghamia Lanceolata Stand to Ice-Snow Damage

2014 ◽  
Vol 937 ◽  
pp. 578-584
Author(s):  
Qin Jing Li ◽  
Yun Ting Hao ◽  
Li Xue ◽  
Xiao Li Hou
Keyword(s):  
Water Absorption ◽  
Absorption Rate ◽  
Water Holding Capacity ◽  
Cunninghamia Lanceolata ◽  
Water Absorption Rate ◽  
Maximum Water ◽  
Snow Damage ◽  
Stem Damage ◽  
Negative Exponential ◽  
Water Holding

Severe ice-snows caused break of many trees and a lot of crown debris in south China in 2008. Stem damage and crown debris. In order to determine the water holding characteristics of the crown debris, the water holding rate and water absorption rates of crown debris and litter were studied in a Cunninghamia lanceolata stand suffering from ice-snow damage occurring from January to February, 2008. The order of water-holding capacity of the components was leaves > litter > branches> stemwood > stembark in each stage of immersing water. The maximum water holding capacities of stemwood, branch, leaves, stembark and litter were 6.75, 8.13, 10.9, 2.72 and 8.22 t•ha 1, respectively. Maximum water holding rates of stemwood, branch, leaves, stembark and litter were 2271, 2144, 3199, 2800 and 3018 g•kg 1, respectively. Water absorption rate of each component sharply decreased with increasing immersed time from 0.5 to 4 hours, and then slowly decreased. The logarithm equation predicted water-holding capacity and water holding rates of crown debris and litter quite well and the negative exponential equation predicted water absorption rate within an 8.5% error.

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