Relating structural, magnetization, and hyperfine field studies to a local environment model inFe3−xVxSiandFe3−xMnxSi

1976 ◽  
Vol 14 (9) ◽  
pp. 4160-4176 ◽  
Author(s):  
V. Niculescu ◽  
K. Raj ◽  
J. I. Budnick ◽  
T. J. Burch ◽  
W. A. Hines ◽  
...  
1979 ◽  
Vol 19 (1) ◽  
pp. 452-464 ◽  
Author(s):  
V. Niculescu ◽  
J. I. Budnick ◽  
W. A. Hines ◽  
K. Raj ◽  
S. Pickart ◽  
...  

2005 ◽  
Vol 475-479 ◽  
pp. 2139-2142 ◽  
Author(s):  
C.Y. Xu ◽  
L. Zhen ◽  
X.Y. Sun ◽  
R.G. Xu ◽  
R.S. Gao ◽  
...  

The local environment issued from the phase decomposition in Fe-25Cr-12Co-1Si alloy during step ageing has been studied by 57Fe Mössbauer spectrometry. The phase decomposition is influenced by both ageing time and temperature. It processes rapidly when ageing temperature is high. The formation of different kinds of (Fe, Co)-rich, Fe-rich and Cr-rich domains with independent hyperfine parameters during phase decomposition was characterized by hyperfine field distribution. The magnetic hardening of the alloy was discussed basing on single domain particle model.


2016 ◽  
Author(s):  
Georg Tanzmeister

This dissertation is focused on the environment model for automated vehicles. A reliable model of the local environment available in real-time is a prerequisite to enable almost any useful ­activity performed by a robot, such as planning motions to fulfill tasks. It is particularly important in safety critical applications, such as for autonomous vehicles in regular traffic. In this thesis, novel concepts for local mapping, tracking, the detection of principal moving directions, cost evaluations in motion planning, and road course estimation have been developed. An object- and sensor-independent grid representation forms the basis of all presented methods enabling a generic and robust estimation of the environment. All approaches have been evaluated with sensor data from real road scenarios, and their performance has been experimentally demonstrated with a test vehicle. ...


1986 ◽  
Vol 28 (1-4) ◽  
pp. 985-988 ◽  
Author(s):  
C. E. Violet ◽  
S. P. Verrill ◽  
D. J. Balaban ◽  
R. J. Borg

1993 ◽  
Vol 47 (21) ◽  
pp. 14054-14061 ◽  
Author(s):  
N. Lakshmi ◽  
K. Venugopalan ◽  
J. Varma

2019 ◽  
Vol 59 (5) ◽  
pp. 1176-1189 ◽  
Author(s):  
Daniel J Becker ◽  
Cecilia Nachtmann ◽  
Hernan D Argibay ◽  
Germán Botto ◽  
Marina Escalera-Zamudio ◽  
...  

Abstract Quantifying how the environment shapes host immune defense is important for understanding which wild populations may be more susceptible or resistant to pathogens. Spatial variation in parasite risk, food and predator abundance, and abiotic conditions can each affect immunity, and these factors can also manifest at both local and biogeographic scales. Yet identifying predictors and the spatial scale of their effects is limited by the rarity of studies that measure immunity across many populations of broadly distributed species. We analyzed leukocyte profiles from 39 wild populations of the common vampire bat (Desmodus rotundus) across its wide geographic range throughout the Neotropics. White blood cell differentials varied spatially, with proportions of neutrophils and lymphocytes varying up to six-fold across sites. Leukocyte profiles were spatially autocorrelated at small and very large distances, suggesting that local environment and large-scale biogeographic factors influence cellular immunity. Generalized additive models showed that bat populations closer to the northern and southern limits of the species range had more neutrophils, monocytes, and basophils, but fewer lymphocytes and eosinophils, than bats sampled at the core of their distribution. Habitats with access to more livestock also showed similar patterns in leukocyte profiles, but large-scale patterns were partly confounded by time between capture and sampling across sites. Our findings suggest that populations at the edge of their range experience physiologically limiting conditions that predict higher chronic stress and greater investment in cellular innate immunity. High food abundance in livestock-dense habitats may exacerbate such conditions by increasing bat density or diet homogenization, although future spatially and temporally coordinated field studies with common protocols are needed to limit sampling artifacts. Systematically assessing immune function and response over space will elucidate how environmental conditions influence traits relevant to epidemiology and help predict disease risks with anthropogenic disturbance, land conversion, and climate change.


1957 ◽  
Vol 8 (2) ◽  
pp. 148 ◽  
Author(s):  
K Helms

Field surveys and ratings of individual lucerne plants (Medicago sativa L.) for severity of symptom expression in the Lachlan and Murrumbidgee Valleys, N.S.W., showed that each year there was a seasonal variation in observed incidence of the disease. This was due to masking of symptoms of diseased plants in the spring. Shoots from plants with masked symptoms contained virus. Maximum symptom expression developed in the late summer and early autumn. Rainfall and temperature (for which day length and light intensity are possible alternatives) appeared to be factors influencing both time and intensity of symptom expression; during the growing season severe symptoms were associated with hot dry conditions and mild symptoms with high rainfalls. Green flowers were associated with the disease in midsummer in some but not all infected plants. Disease incidence and rate of infection were influenced by local environment; more diseased plants and more mortalities of diseased plants occurred on river terraces than on river flats. Disease incidence and rate of infection were greater in old stands and in young thin stands than in young dense stands. Witches' broom was an important factor associated with mortality of plants in 10-year-old lucerne stands in the Lachlan Valley. The minimum observed life of infected plants was less than 2 months. The maximum was 33 months in the field and 54 months in the greenhouse. The economic importance of the disease in Australia is discussed.


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