Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99


Any time

2020 ( 5 )

2019 ( 72 )

2018 ( 547 )

2017 ( 523 )

Custom range...

Search Results: 1 - 10 of 35624 matches for " Zeng Yi "
All listed articles are free for downloading (OA Articles)
Page 1 /35624
Display every page Item
The Laplace-Adomian-Pade Technique for the ENSO Model
Yi Zeng
Mathematical Problems in Engineering , 2013, DOI: 10.1155/2013/954857
Biological Neural Network Structure and Spike Activity Prediction Based on Multi-Neuron Spike Train Data  [PDF]
Tielin Zhang, Yi Zeng, Bo Xu
International Journal of Intelligence Science (IJIS) , 2015, DOI: 10.4236/ijis.2015.52010
Abstract: The micro-scale neural network structure for the brain is essential for the investigation on the brain and mind. Most of the previous studies typically acquired the neural network structure through brain slicing and reconstruction via nanoscale imaging. Nevertheless, this method still cannot scale well, and the observation on the neural activities based on the reconstructed neural network is not possible. Neuron activities are based on the neural network of the brain. In this paper, we propose that multi-neuron spike train data can be used as an alternative source to predict the neural network structure. And two concrete strategies for neural network structure prediction based on such kind of data are introduced, namely, the time-ordered strategy and the spike co-occurrence strategy. The proposed methods can even be applied to in vivo studies since it only requires neural spike activities. Based on the predicted neural network structure and the spreading activation theory, we propose a spike prediction method. For neural network structure reconstruction, the experimental results reveal a significantly improved accuracy compared to previous network reconstruction strategies, such as Cross-correlation, Pearson, and the Spearman method. Experiments on the spikes prediction results show that the proposed spreading activation based strategy is potentially effective for predicting neural spikes in the biological neural network. The predictions on the neural network structure and the neuron activities serve as foundations for large scale brain simulation and explorations of human intelligence.
The Relationship between the Typhoon Storm in Fujian and Circulation Circumstances  [PDF]
Jinyu Zeng, Yi Lin, Conghui Gao
Journal of Geoscience and Environment Protection (GEP) , 2018, DOI: 10.4236/gep.2018.64017
Abstract: The cases of landing and impact of the heavy rain of typhoon in Fujian are analyzed. From the research of the mainly weather systems which caused heavy rain and the distribution characteristics of atmospheric circulation situation field, we conclude that on the basis of Fujian special geographical location and terrain, there are four types (easterly jet, warm-type sheer, inverted V-shaped trough of typhoon, westerly trough) are conductive to the circulation patterns of causing the heavy rain of typhoon. Through studying a number of typical model cases of heavy rain of typhoon, we can reveal the mechanism which causes the heavy rain of typhoon by the mostly influencing systems in different circulation backgrounds and the causes of the heavy rain of typhoon.
Resilience Significantly Contributes to Exceptional Longevity
Yi Zeng,Ke Shen
Current Gerontology and Geriatrics Research , 2010, DOI: 10.1155/2010/525693
Abstract: Objective. We aim to investigate whether centenarians are significantly more resilient than younger elders and whether resilience significantly contributes to exceptional longevity. Data. We use a unique dataset from the Chinese Longitudinal Healthy Longevity Survey with the largest sample to date of centenarians, nonagenarians, octogenarians, and a compatible group of young old aged 65–79. Methods and Results. Logistic regressions based on the cross-sectional sample show that after controlling for various confounders, including physical health and cognitive status, centenarians are significantly more resilient than any other old-age group. Logistic regression analyses based on the longitudinal data show that nonagenarians aged 94–98 with better resilience have a 43.1% higher likelihood of becoming a centenarian compared to nonagenarians with lower resilience. Conclusions. Resilience significantly contributes to longevity at all ages, and it becomes even more profound at very advanced ages. These findings indicate that policies and programs to promote resilience would have long-term and positive effects on the well-being and longevity for senior citizens and their families. 1. Introduction Extant literature has highlighted the particular relevance of centenarians for healthy longevity research, given that they have outlived most of their cohort peers by several decades, and they represent a highly selected group. For example, according to recent life-table data, the probability of surviving from age 50 to age 100 is about 0.38% and 1.05% for Chinese men and women, respectively, which is slightly less than one-fifth of that in the U.S. As shown by Flachsbart [1], only about 4.8% of 90-year-olds and 16.0% of 95-year-olds in Germany are likely to reach the age of 100. A study by Yi and Vaupel [2] showed that about 3.4% of 90-year-olds and 14.9% of 95-year-olds in China are likely to survive to the age of 100. These figures indicate that centenarians are highly selected long-lived individuals, even among those who have reached 90–95 years old. A focus on extreme cases is often a good way to gain research leverage at reasonable expense; thus, investigating centenarians (some of whom are healthy and demonstrate successful aging) and comparing them with other younger age groups is an efficient way to learn what factors may contribute to healthy longevity. Resilience, a psychological construct, has been defined differently in extant literatures. In this paper, we adopt the simplified and straightforward definition specified by Lamond et al. [3]; namely,
Sensing Movement: Microsensors for Body Motion Measurement
Hansong Zeng,Yi Zhao
Sensors , 2011, DOI: 10.3390/s110100638
Abstract: Recognition of body posture and motion is an important physiological function that can keep the body in balance. Man-made motion sensors have also been widely applied for a broad array of biomedical applications including diagnosis of balance disorders and evaluation of energy expenditure. This paper reviews the state-of-the-art sensing components utilized for body motion measurement. The anatomy and working principles of a natural body motion sensor, the human vestibular system, are first described. Various man-made inertial sensors are then elaborated based on their distinctive sensing mechanisms. In particular, both the conventional solid-state motion sensors and the emerging non solid-state motion sensors are depicted. With their lower cost and increased intelligence, man-made motion sensors are expected to play an increasingly important role in biomedical systems for basic research as well as clinical diagnostics.
Quaternion-Based Iterative Solution of Three-Dimensional Coordinate Transformation Problem
Huaien Zeng,Qinglin Yi
Journal of Computers , 2011, DOI: 10.4304/jcp.6.7.1361-1368
Abstract: Three-dimensional coordinate transformation problem is the most frequent problem in photogrammetry, geodesy, mapping, geographical information science (GIS), and computer vision. To overcome the drawback that traditional solution of the problem based on rotation angles depends strongly on initial value of parameter, which makes the method ineffective in the case of super-large rotation angle, the paper adopts an unit quaternion to represent three-dimensional rotation matrix, then puts forward a quaternion-based iterative solution of the problem. The cases study shows that the quaternion-based solution has no dependence on the initial value of parameter and desirable result with fast speed. Thus it is valid for three-dimensional coordinate transformation of any rotation angle.
Sociodemographic Effects on the Onset and Recovery of ADL Disability among Chinese Oldest-old
Gu Danan,Zeng Yi
Demographic Research , 2004,
Abstract: By pooling the data from the three waves (1998, 2000, and 2002) of the Chinese Longitudinal Health and Longevity Survey, this study examines the association of sociodemographic factors with the onset and recovery of ADL disability including changes in functional status before dying. The results show that the sociodemographic factors play some specific roles in disability dynamics at very high ages even after controlling for a rich set of confounders. Our results also point out that the conventional method, which excludes the information of ADL changes before dying due to unavailability of the data, overestimates the effects of age, gender, ethnicity, and living alone on disability transitions whereas it underestimates the effects of SES, although such discrepancies are not very big compared with the results including information of ADL changes before dying.
The association between resilience and survival among Chinese elderly
Ke Shen,Yi Zeng
Demographic Research , 2010,
Abstract: Based on the unique longitudinal data of the elderly aged 65+ with a sufficiently large sub-sample of the oldest-old aged 85+ from the Chinese Longitudinal Healthy Longevity Survey, we construct a resilience scale with 7 indicators for the Chinese elderly, based on the framework of the Connor-Davidson Resilience Scale. Cox proportional hazards regression model estimates show that, after controlling for socio-demographic characteristics and initial health status, the total resilience score and most factors of the resilience scale are significantly associated with reduced mortality risk among the young-old and oldest-old. Although the causal mechanisms remain to be investigated, effective measures to promote resilience are likely to have a positive effect on longevity of the elderly in China.
Family Dynamics of 63 Million (in 1990) to More Than 330 Million (in 2050) Elders in China
Zeng Yi,George Linda
Demographic Research , 2000,
Abstract: Based on censuses micro data files, population and family households projections, this paper analyses extremely rapid population aging, family dynamics and living arrangements of the elderly in China. Both our and the U.N.'s most recent projections confirm very rapid increase in proportion of elderly, huge numbers of elderly persons, an extraordinarily rapid increase of the oldest old after 2020, and more serious aging problems in rural than urban areas. Comparative data analysis on family dynamics and living arrangements of the elderly, males vs. females, younger elders vs. oldest old, rural vs. urban, and 1982 vs. 1990 are presented. According to an application to the multidimensional family household projection model, the family households structure and living arrangements of the Chinese elderly would change dramatically during the first half of the 21th century. In addition to demographic data analysis, we also discuss socio-economic and cultural contexts to explain the issues of rapid aging and changes in family structure and living arrangements of the elderly in China. Drawing upon our empirical findings, we presented policy recommendations on strengthening family support system, establishing an old age insurance program in rural areas, favourable policy for elderly women in consideration of their disadvantaged status, and smoothly transiting to a two-child plus spacing policy.
On random linear dynamical systems in a Banach space. I. Multiplicative Ergodic Theorem and Krein-Rutmann type Theorems
Zeng Lian,Yi Wang
Mathematics , 2015,
Abstract: For linear random dynamical systems in a separable Banach space $X$, we derived a series of Krein-Rutman type Theorems with respect to co-invariant cone family with rank-$k$, which present a (quasi)-equivalence relation between the measurably co-invariant cone family and the measurably dominated splitting of $X$. Moreover, such (quasi)-equivalence relation turns out to be an equivalence relation whenever (i) $k=1$; or (ii) in the frame of the Multiplicative Ergodic Theorem with certain Lyapunov exponent being greater than the negative infinity. For the second case, we thoroughly investigated the relations between the Lyapunov exponents, the co-invariant cone family and the measurably dominated splitting for linear random dynamical systems in $X$.
Page 1 /35624
Display every page Item

Copyright © 2008-2017 Open Access Library. All rights reserved.