Research in Japanese Sources: A Guide
In: Pacific affairs: an international review of Asia and the Pacific, Band 39, Heft 3/4, S. 383
ISSN: 1715-3379
23 Ergebnisse
Sortierung:
In: Pacific affairs: an international review of Asia and the Pacific, Band 39, Heft 3/4, S. 383
ISSN: 1715-3379
In: Pacific affairs: an international review of Asia and the Pacific, Band 31, Heft 3, S. 308
ISSN: 1715-3379
In: The British journal of social work, Band 26, Heft 5, S. 647-665
ISSN: 1468-263X
In: Human factors: the journal of the Human Factors Society, Band 37, Heft 3, S. 622-634
ISSN: 1547-8181
A function of North American Aerospace Defence (NORAD) in North Bay, Ontario, is to identify all aircraft entering Canadian airspace. The first step in performing this task is to detect visually the presence of aircraft from either radar or transponder information presented on display consoles. This challenging, real-world vigilance task was used to investigate factors affecting detection latencies. The experiment revealed that performance varied as a function of geographic area of coverage, the midnight shift was particularly sensitive to vigilance decrements, and a vigilance decrement effect can occur in a real-world task, but this effect is not as strong as those reported in laboratory studies.
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record. ; Here we present genome sequences for twelve isolates of the invasive pathogen Phytophthora ramorum EU1. The assembled genome sequences and raw sequence data are available via BioProject accession number PRJNA177509. These data will be useful in developing molecular tools for specific detection and identification of this pathogen. ; This work was supported in part by a grant funded jointly by the Biotechnology and Biological Sciences Research Council, the Department for Environment, Food and Rural Affairs, the Economic and Social Research Council, the Forestry Commission, the Natural Environment Research Council and the Scottish Government, under the Tree Health and Plant Biosecurity Initiative (BB/L012499/1). PAO was supported by a joint studentship from the Fera seedcorn programme and from the Defra Future-proofing Plant Health project (PH0441). We acknowledge funding for the joint studentship from the Fera seedcorn programme and from the Defra Future-proofing Plant Health project (PH0441).
BASE
Two satellites are currently monitoring surface soil moisture (SM) using L-band observations: SMOS (Soil Moisture and Ocean Salinity), a joint ESA (European Space Agency), CNES (Centre national d'études spatiales), and CDTI (the Spanish government agency with responsibility for space) satellite launched on November 2, 2009 and SMAP (Soil Moisture Active Passive), a National Aeronautics and Space Administration (NASA) satellite successfully launched in January 2015. In this study, we used a multilinear regression approach to retrieve SM from SMAP data to create a global dataset of SM, which is consistent with SM data retrieved from SMOS. This was achieved by calibrating coefficients of the regression model using the CATDS (Centre Aval de Traitement des Données) SMOS Level 3 SM and the horizontally and vertically polarized brightness temperatures (TB) at 40° incidence angle, over the 2013 – 2014 period. Next, this model was applied to SMAP L3 TB data from Apr 2015 to Jul 2016. The retrieved SM from SMAP (referred to here as SMAP_Reg) was compared to: (i) the operational SMAP L3 SM (SMAP_SCA), retrieved using the baseline Single Channel retrieval Algorithm (SCA); and (ii) the operational SMOSL3 SM, derived from the multiangular inversion of the L-MEB model (L-MEB algorithm) (SMOSL3). This inter-comparison was made against in situ soil moisture measurements from more than 400 sites spread over the globe, which are used here as a reference soil moisture dataset. The in situ observations were obtained from the International Soil Moisture Network (ISMN; https://ismn.geo.tuwien.ac.at/) in North of America (PBO_H2O, SCAN, SNOTEL, iRON, and USCRN), in Australia (Oznet), Africa (DAHRA), and in Europe (REMEDHUS, SMOSMANIA, FMI, and RSMN). The agreement was analyzed in terms of four classical statistical criteria: Root Mean Squared Error (RMSE), Bias, Unbiased RMSE (UnbRMSE), and correlation coefficient (R). Results of the comparison of these various products with in situ observations show that the performance of both SMAP ...
BASE
This is the final version. Available on open access from Nature Research via the DOI in this record ; Data availability; All RNA sequencing data and proteomics data is available in Supplementary Data 1–4. Exact p values, where shown on Figs. 1–5, are available in Supplementary Data 5. The source data underlying Figs. 1–5 are provided as Supplementary Data 6. Any other relevant data are available upon reasonable request. ; The interaction between a cell and its environment shapes fundamental intracellular processes such as cellular metabolism. In most cases growth rate is treated as a proximal metric for understanding the cellular metabolic status. However, changes in growth rate might not reflect metabolic variations in individuals responding to environmental fluctuations. Here we use single-cell microfluidics-microscopy combined with transcriptomics, proteomics and mathematical modelling to quantify the accumulation of glucose within Escherichia coli cells. In contrast to the current consensus, we reveal that environmental conditions which are comparatively unfavourable for growth, where both nutrients and salinity are depleted, increase glucose accumulation rates in individual bacteria and population subsets. We find that these changes in metabolic function are underpinned by variations at the translational and posttranslational level but not at the transcriptional level and are not dictated by changes in cell size. The metabolic response-characteristics identified greatly advance our fundamental understanding of the interactions between bacteria and their environment and have important ramifications when investigating cellular processes where salinity plays an important role. ; Biotechnology & Biological Sciences Research Council (BBSRC) ; Biotechnology and Biological Sciences Research Council (BBSRC) ; Medical Research Council (MRC) ; Royal Society ; QUEX Initiator grant ; European Union Horizon 2020 ; Gordon and Betty and Gordon Moore Foundation ; Wellcome Trust
BASE
In: British journal of political science, Band 42, Heft 3, S. 661-679
ISSN: 0007-1234