Two relaxation peaks were found in the complex susceptibility of ferrofluids. Both can be described by the Vogel-Fulcher law t t 0 f͑T͒ exp͓E͞k͑T 2 T 0 ͔͒. Nevertheless, the physical origins for these two relaxations are quite different. We found that Néel relaxation strongly depends on the dipoledipole interaction. The dramatic dependence can be described by a surprisingly simple scaling relation: t t 0 exp͓E͞k͑T 2 af 0.8 ͔͒, where f is the volume fraction of the dipoles. In contrast, Brownian relaxation is much less sensitive to the concentration of magnetic moments because the interparticle force is mainly hydrodynamic in nature. [S0031-9007(96)00634-5] PACS numbers: 75.50. Mm, 61.20.Lc, 75.40.Gb, 82.70.Dd 0031-9007͞96͞77(2)͞390(4)$10.00
An apparent increase in the frequency of human adenovirus type 4 (HAdV-4) infections among general populations has been observed over the past 10 years. However, available epidemiological data that may reflect previous viral circulation and assist in predicting potential outbreaks are sparse, particularly in mainland China and Africa. In this study, a convenient neutralization assay for use in the surveillance of historical HAdV-4 infections was established based on a recombinant luciferase-expressing virus. Subsequently, the neutralizing antibodies (nAbs) of 1013 healthy adult serum samples from China and Sierra Leone were evaluated. Our results showed that over 50% of the participants from China and nearly 70% of donors from Sierra Leone had detectable nAbs against HAdV-4 despite the few infection cases officially reported in these regions. Furthermore, the prevalence of nAbs to HAdV-4 is lower than that to HAdV-5, and both varied by geographic location. In addition, the seropositive rates of both HAdV-4 and HAdV-5 nAbs increased with age. However, the nAbs stimulated by HAdV-4 remained stable at low (≤200) levels among the different age groups, whereas moderate (201–1000) or high (>1000) nAb levels were produced by HAdV-5 and tended to decrease with age. These results elucidate the human humoral immune response against HAdV-4 and revealed that this virus may be an underestimated causative agent of respiratory disease among adults in China and West Africa, demonstrating the importance of HAdV-4 surveillance and providing useful insights for the future development of HAdV-4-based vaccines.
The tree-ring chronologies of Abies georgei Orr were developed for 3 sites at different elevations: the southern (2750 m), middle (3050 m), and northern (3400 m) parts of the Baimang Snow Mountains in northwestern Yunnan Province, China. The climate-growth response analysis indicated that trees at different elevations respond differently to environmental changes. The radial growth of trees found at the middle and high elevation sites was determined by temperature variables (mean, maximum, and minimum temperatures), particularly during the summer season (June to August), while moisture availability (precipitation and relative humidity) during spring (in March) was the crucial climate factor for tree growth at the low elevation site. The linear climate-growth model derived from the composite chronology of the 2 high elevation sites was verified with independent data from 1958 to 2005, and accounted for 33.4% of the mean temperature variation during summer (June to August). Based on this model, summer minimum temperature variations were reconstructed for the past 296 yr. The reconstruction revealed that cool climates mainly occurred in 1732-1743, 1758-1780, 1791-1824, 1836-1847, 1853-1862, 1908-1929, 1964-1976, and 1979-1993, while warm climates prevailed in 1718-1731, 1744-1756, 1781-1790, 1825-1835, 1883-1907, 1930-1963, and 1995 to present. Spectral analysis of the reconstruction using the multi-taper method (MTM) indicated the existence of some multidecadal (about 70 yr) and bidecadal (about 20 yr) cycles, which might correspond to the related cycles of solar activity, and significant peaks at about 2 to 8 yr, in agreement with the spectral mode of El Niño Southern Oscillation (ENSO)-type variability. KEY WORDS: Summer temperature · Climate reconstruction · Tree-ring · Northwestern YunnanResale or republication not permitted without written consent of the publisher Clim Res 47: 207-218, 2011 Tree-ring measurements provide a particularly valuable indicator of climatic history as they offer precise dating, extensive spatial availability, and climatologically high sensitivity (Fritts 1976, Schweingruber 1996. Tree-ring data play an important role in reconstructing the climate variability of the Northern Hemisphere and have been integrated worldwide into research on global change (Esper et al. 2002, Mann et al. 2008. The coniferous forests in northwestern Yunnan are ancient and diverse (Wu 1987), offering a compelling opportunity to explore tree-ring data, but few dendroclimatological studies have been conducted in this region. The earliest such study in this region was carried out at Haba Snow Mountains, in which Wu et al. (1988) reported a tree-ring chronology indicative of air temperature during the last 400 yr and suggested the existence of similar variations in the Tibetan Plateau. Based on the tree-ring data of the central Hengduan Mountains, variability in summer temperatures and spring droughts during the past several centuries have also been reconstructed (Fan et al. 2008, 2009a, Li et al. 2...
Water yield is an important ecosystem service, which is directly related to human welfare and affects the sustainable development. Using the integrated valuation of environmental services and tradeoffs model (InVEST model), we simulated the dynamic change of water yield in Qinghai lake watershed, Qinghai, China, and verified the simulation results. This paper emphatically explored how precipitation change and land use/land cover change (LUCC) affected the change of water yield on the spatial and temporal scales. Before 2004, the areas of cultivated land and unused land showed a dramatic increasing tendency, while forestland and water area presented a decreasing trend. After 2004 cultivated land changed slowly, unused land decreased. Grassland revealed a general trend of decline during 1977-2018, while built-up land basically presented a linear increase. The results show that water yield fluctuated and increased during 1977 . From 1977 to 2000, the mean water yield in each sub-watershed showed an increasing trend and afterward a decreasing one. After 2000, the sub-watersheds basically showed an increasing tendency. There was a strong correlation, with a correlation coefficient of 0.954 ** (** correlation is significant at the 0.01 level), between precipitation and water yield. Land use/land cover change can change the hydrological state of infiltration, evapotranspiration, and water retention. Meanwhile, the correlation between built-up land and water yield was the highest, with a correlation coefficient of 0.932, followed by forestland, with a correlation coefficient of 0.897. Through the analysis of different scenarios, we found that compared with land use/land cover change, precipitation played a more dominant role in affecting water yield.Water 2020, 12, 11 2 of 18 accuracy of the model output and the validation and evaluation of the performance of models in different circumstances and locations [11,12]. The input parameters have a great influence on the output results of the model. Many studies use sensitivity analysis methods to analyze the dependence between model output and variables [13,14], and in turn adjust model input parameters to find a set of optimal parameters. In fact, the input parameters of water yield module need to be calculated by physical equation or empirical equation [15,16]. So, we should make the input parameters more reasonable and accurate by standardizing the input data and taking full account of the regional characteristics and differences. In addition, the output results of the model are compared and verified through the observation data to evaluate the performance of the model without sensitive analysis methods and parameter adjustment, so as to provide a supporting evidence for us to use the model in the similar areas without measured data or insufficient data.Since the 1970s, many distributed hydrological models, including soil and water assessment tool (SWAT) [17], artificial intelligence for ecosystem services (ARIES) [18], integrated valuation of ecosystem services and trade...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.