28 research outputs found
Maximum likelihood decoding of neuronal inputs from an interspike interval distribution
An expression for the probability distribution of the interspike interval
of a leaky integrate-and-fire (LIF) model neuron is rigorously derived,
based on recent theoretical developments in the theory of stochastic processes.
This enables us to find for the first time a way of developing
maximum likelihood estimates (MLE) of the input information (e.g., afferent
rate and variance) for an LIF neuron from a set of recorded spike
trains. Dynamic inputs to pools of LIF neurons both with and without
interactions are efficiently and reliably decoded by applying the MLE,
even within time windows as short as 25 msec
Type-I superconductivity in AlRe
While the pure elements tend to exhibit Type-I rather than Type-II
superconductivity, nearly all compound superconductors are Type-II, with only a
few known exceptions. We report single crystal growth and physical
characterization of the rhenium aluminide AlRe, which we conclude is a
Type-I superconductor based on magnetization, ac-susceptibility, and
specific-heat measurements. This detection of superconductivity, despite the
strong similarity of AlRe to a family of W and Mo aluminides that do not
superconduct, suggests that these aluminides are an ideal testbed for
identifying the relative importance of valence electron count and inversion
symmetry in determining whether a material will superconduct.Comment: 9 pages, 7 figures, CIF file as ancillar
Secular trend of the leading causes of death in China from 2003 to 2013
Background: To analyze the epidemiological characteristics and secular trends of the leading causes of death in China.Methods: Data on the leading causes of death was collected from the Statistical Yearbook of China. Data for 11 years, from 2003 to 2013, was analyzed by regression analysis and chi-square test.Results: The top 3 causes of death from 2009 to 2013 were cancer, cerebrovascular disease, and cardiopathy, with the role of cardiopathy increasing over time (P<0.01). The proportion of deaths related to cardio-cerebrovascular diseases in urban and rural areas increased to 41.9% and 44.8%, respectively, in 2013, and was significantly higher than that for cancer, 25.5% and 22.4% (both P<0.01). Injury and poisoning in urban or rural areas represented the fifth leading cause of death. In 2006, endocrine, nutritional, and metabolic diseases were the sixth main cause of death, with 3.3% in urban areas. The role of genito-urinary,respiratory, and digestive system diseases in urban areas and genito-urinary system diseases in rural areas decreased during this period (all P<0.05).Conclusion: Cancer, cerebrovascular disease, and cardiopathy accounted for more than 67% of all deaths from 2007 to 2013 in China, and significantly increased in proportion from 2003 to 2013.Keywords: Causes of death; China; cancer; cardiovascular diseas
Unusual double-peak specific heat and spin freezing in a spin-2 triangular lattice antiferromagnet FeAlSe
We report the properties of a triangular lattice iron-chalcogenide
antiferromagnet FeAlSe. The spin susceptibility reveals a
significant antiferromagnetic interaction with a Curie-Weiss temperature
{\Theta} ~ -200K and a spin-2 local moment. Despite a large spin and a
large |{\Theta}|, the low-temperature behaviors are incompatible with
conventional classical magnets. No long-range order is detected down to 0.4K.
Similar to the well-known spin-1 magnet NiGaS, the specific heat of
FeAlSe exhibits an unusual double-peak structure and a T
power law at low temperatures, which are attributed to the underlying
quadrupolar spin correlations and the Halperin-Saslow modes, respectively. The
spin freezing occurs at ~ 14K, below which the relaxation dynamics is probed by
the ac susceptibility. Our results are consistent with the early theory for the
spin-1 system with Heisenberg and biquadratic spin interactions. We argue that
the early proposal of the quadrupolar correlation and gauge glass dynamics may
be well extended to FeAlSe. Our results provide useful insights
about the magnetic properties of frustrated quantum magnets with high spins.Comment: 7 pages, 4 figure
Secular trend of the leading causes of death in China from 2003 to 2013.
Background: To analyze the epidemiological characteristics and secular
trends of the leading causes of death in China. Methods: Data on the
leading causes of death was collected from the Statistical Yearbook of
China. Data for 11 years, from 2003 to 2013, was analyzed by regression
analysis and chi-square test. Results: The top 3 causes of death from
2009 to 2013 were cancer, cerebrovascular disease, and cardiopathy,
with the role of cardiopathy increasing over time (P<0.01). The
proportion of deaths related to cardio-cerebrovascular diseases in
urban and rural areas increased to 41.9% and 44.8%, respectively, in
2013, and was significantly higher than that for cancer, 25.5% and
22.4% (both P<0.01). Injury and poisoning in urban or rural areas
represented the fifth leading cause of death. In 2006, endocrine,
nutritional, and metabolic diseases were the sixth main cause of death,
with 3.3% in urban areas. The role of genito-urinary, respiratory, and
digestive system diseases in urban areas and genito-urinary system
diseases in rural areas decreased during this period (all P<0.05).
Conclusion: Cancer, cerebrovascular disease, and cardiopathy accounted
for more than 67% of all deaths from 2007 to 2013 in China, and
significantly increased in proportion from 2003 to 2013
Five-Year Longitudinal Assessment of the Downstream Impact on Schistosomiasis Transmission following Closure of the Three Gorges Dam
Schistosomiasis, caused by Schistosoma japonicum, is a significant parasitic disease and public health problem in China. How the parasite is transmitted there can be categorized into four distinct modes (modes IāIV) and it is predicted that the Three Gorges Dam, recently completed, will affect the way schistosomiasis is spread in these modes. We monitored transmission for a 5-year period (2002ā2006) in eight villages, representative of the three modes (IāIII) below the dam across four provinces (Hunan, Jiangxi, Hubei and Anhui) to determine whether there was any immediate impact of the dam on schistosomiasis spread. Human schistosomiasis incidence declined considerably within individual villages and each mode, and the yearly odds ratios (adjusted) for infection risk showed significant downward trends in all three modes over the follow-up period. The decreased human S. japonicum incidence recorded across transmission modes IāIII was probably attributable to annual human and bovine praziquantel drug treatment. If an increase in schistosome transmission had occurred as a result of the dam, it would be of negligible size compared with this treatment-induced decline. There had thus been virtually no immediate impact of the TGD on schistosomiasis transmission downstream of the dam over the 5-year surveillance period
Numerical-simulation-based Landslide Warning System and Its Application
Abstract
Landslide early warning is a systematic project involving multidisciplinary integration, i.e. geology, mechanics, engineering, monitoring technology, and information technology. When conducting landslide studies, due to the limitation of failure theory of geological body, landslide warning system is purely based on monitoring data nowadays, so it is difficult to integrate interdisciplinary techniques. A trigger condition based prediction theory and disaster stage judgment approach are introduced, with which the landslide time prediction is converted to the disaster stage judgment. The definition and significance of fracture degree is presented, by which the disaster stage judgment is convert to inner fracture state analysis. At last, the numerical-simulation-based landslide warning system is discussed in detail. This system contains four parts, namely parameter acquisition part, disaster kernel analysis system, current state back analysis part, and landslide reliability evaluation part, respectively. In the first part, the essential parameters and its acquisition method is presented, and then the necessity and advantages of dimensional analysis is discussed. In the second part, the new numerical method named continuous discontinuous element method (CDEM) is introduced, and main features, i.e. Lagrange equation, strain strength distribution criteria, element crack strategy, and indented point & indented edge contact model is introduced. In third part, the inverse analysis method of current parameters of geological body based on monitoring data and numerical simulation is discussed. In the fourth part, the reliability evaluation steps are presented in detail. Finally, the sliding occurrence probability of Liangshuijing landslide in Chongqing, China is discussed, which demonstrated to show the precision and rationality of the proposed landslide warning system