302 research outputs found
sj-docx-1-jbm-10.1177_03936155221132572 - Supplemental material for A study on the correlation between M2 macrophages and regulatory T cells in the progression of colorectal cancer
Supplemental material, sj-docx-1-jbm-10.1177_03936155221132572 for A study on the correlation between M2 macrophages and regulatory T cells in the progression of colorectal cancer by Yanlei Chen, Yu Gao, Xueqian Ma, Yanping Wang, Jinhao Liu, Chunyu Yang, Yue Wang, Cuifen Bao, Xiaoyu Song, Yang Feng, Yan Sun and Shifeng Qiao in The International Journal of Biological Markers</p
Erratum: ACF7 regulates inflammatory colitis and intestinal wound response by orchestrating tight junction dynamics
Nature Communications 8: Article number: 15375 (2017); Published: 25 May 2017; Updated: 11 July 2017 The affiliation details for Yanlei Ma and Yao Zhang are incorrect in this Article. The correct affiliation details for these authors are given below: Yanlei Ma: Department of GI surgery, Shanghai Tenth People's Hospital Affiliated with Tongji University, 301 Yanchang Road, Shanghai 200072, China.</jats:p
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Forests under a Changing Climate: Wind Disturbance and Tree Mortality
Wind disturbance, along with heavy precipitation and strong wind, caused extensive impact on forests, including leaf falling, tree snapping and uprooting. In this dissertation I investigate the impact of wind disturbance, including cyclones and mesoscale convective system, on temperate and tropical forests, from local to landscape scales. I quantified the wind disturbance impact on forests using remote sensing images, and focus on four primary questions: (1) What are the geophysical and biological variables that affect the forest disturbance intensity caused by hurricane Maria? (2) How do these variables vary across different regions that affect disturbance caused by multiple cyclones? (3) How do climate variables affect windthrow disturbance? (4) How does windthrow disturbance respond to climate warming?In the first chapter, I reviewed 8 remote sensing indices and methods that can measure the windstorms’ impact on forest. I summarized the methods to measure the disturbance intensity and compared their advantages and weaknesses. I also explored the environmental factors in literature that drive the spatial variation of the wind-related forest disturbance.
In the second chapter, I measured hurricane Maria’s impact on Puerto Rican forests and developed a GEE remote sensing data analysis tool for rapidly quantifying spatial variability of forest disturbance following a cyclone landfall. I also studied the landscape factors which affect the patterns and severity of forest disturbance intensity. Results show that significant disturbance was found in Luquillo Mountains, the mid-west forested area, the southeastern area, and the northeastern coastal area. Forest type, elevation, green vegetation ratio in the preceding year, distance to hurricane landfall, and distance to hurricane track were the most important variables explaining the variance in forest disturbance caused by hurricane Maria.
In the third chapter, I quantified the disturbance intensity caused by multiple cyclones in different regions and explored the feature importance in various cyclone studies. Results showed that climate variables, terrain features, and forest properties were significant tin predicting tree damage caused by cyclones, and wind elevation, and the pre-disturbance vegetation condition were strong predictors. Little consistency was found on the variables among studies of different cyclones, and we believed that the complexities of cyclone effects coupled with landscape, soils, states of affected systems, climate change making the existence of an omnipotent cyclone model very difficult.
Moving from cyclones over the world to extreme wind events over Amazon region, in the fourth chapter, I explored 38 case studies of windthrow on the land surface and the corresponding mesoscale convective systems (MCS) in the atmosphere. I studied the relationship between windthrow size and features of MCS, including the duration, coldest cloud top temperature, and rainfall. Results showed that there was a positive linear relationship between the duration of MCS lifespan and the size of windthrows. Deeper convective storms resulted in large windthrows.
In the fifth chapter, I investigated the mechanism of windthrow over Amazonia. The results demonstrated that CAPE was an appropriate proxy for estimating the density of windthrow events in the Amazon, and a significant increase in windthrow density over this century was projected under a warming climate.
Taken together, these results quantified the impact of extreme storms on forests over the tropical and sub-tropical regions and improved the understanding in the mechanism of land-atmosphere interaction, thus contributing to rapid assessment of extreme wind events impacts and the development of mitigation and forest management strategies under climate change
Modeling Patterns of Land Use in Chinese Cities Using an Integrated Cellular Automata Model
This paper introduces an urban growth simulation model applied to the full scope of China. The model uses a multicriteria decision analysis to calculate the land conversion probability and then integrates it with a cellular automata model. A nonlinear relationship is incorporated in to the model to interpret the impacts of different Land Use and Cover Change driving forces. The Analytical Hierarchical Process is also implemented to compute the variance between weights of different factors. Multiple sizes of neighborhood and different urban ratios in the model rules are tested, and a 5 × 5 neighborhood and an urban threshold of 0.33 are chosen. The study demonstrates the importance of spatial analysis on socioeconomic factors, population, and Gross Domestic Product in land use change simulation modeling. The model fills the gap between the purely economic theory simulation model and the geographic simulation model. The nationwide urban simulation is an example that addresses the lack of urban simulation studies in China and among large-scale simulation models
Haptophytes genomic data
It includes the nuclear drafts, GeMoMa annotations, and the potential contaminations of the Haptophyte phylogenomic project. </p
Positive solutions for second-order differential equations with singularities and separated integral boundary conditions
We study the existence of positive solutions for second-order differential equations with separated integral boundary conditions. The nonlinear part of the equation involves the derivative and may be singular for the second and third space variables. The result ensures existence of a positive solution when the parameters are in certain ranges. The proof depends on general properties of the associated Green's function and the Krasnosel'skii–Guo fixed point theorem applied to a perturbed Hammerstein integral operator. Both numerical and analytical examples are constructed to illustrate applications of the theorem to a group of equations. The result generalizes previous work
Xylosyltransferase 1 and the GAG Attachment Site
Structure, 26, 797-799Note : if this item contains full text it may be a preprint, author manuscript, or a Gold OA copy that permits redistribution with a license such as CC BY. The final version is available through the publisher’s platform.Xylosyltransferase initiates glycosaminoglycan synthesis on the proteoglycan core protein. In this issue of Structure, Briggs and Hohenester (2018) determined the crystal structure of xylosyltransferase 1 and its structure in ternary complex with UDP-xylose donor and peptide acceptors, providing a mechanistic insight into the role of xylosyltransferase for glycosaminoglycan site selection.https://login.libproxy.rpi.edu/login?url=https://doi.org/10.1016/j.str.2018.05.01
Permanent Magnet losses Comparisons of Permanent Magnet Vernier Motors With Different Stator Topologies
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