Results 81 to 90 of about 1,100,569 (292)

Delay-probability-distribution-dependent stability of uncertain stochastic genetic regulatory networks with time-varying delays

, 2013
This paper investigates the delay-probability-distribution-dependent stability problem of uncertain stochastic genetic regulatory networks (SGRNs) with time-varying delays.
S Lakshmanan (13601575), P Balasubramaniam (13640545), R Rakkiyappan (13601566)   +2 more
core  

Increase of the Delivered Power Probability in Distribution Networks using Pareto DC Programming

, 2013
A methodology to increase the probability of delivering power to any load point through the identification of new investments in distribution network components is proposed in this paper.
Vale, Zita, Bruno Canizes, Zita Vale, Cristina Lobo, Lobo, Cristina, Canizes, Bruno, Soares, João, Joao Soares   +7 more
core   +1 more source

Inequalities for Information Potentials and Entropies

Mathematics, 2020
We consider a probability distribution p0(x),p1(x),… depending on a real parameter x. The associated information potential is S(x):=∑kpk2(x). The Rényi entropy and the Tsallis entropy of order 2 can be expressed as R(x)=−logS(x) and T(x)=1−S(x).
Ana Maria Acu, Alexandra Măduţa, Diana Otrocol, Ioan Raşa   +3 more
doaj   +1 more source

Spinal Cord Infarction Versus Idiopathic Transverse Myelitis: Clinical, Radiological, and Functional Insights From a Retrospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Spinal cord infarction (SCI) is a rare but devastating myelopathy, characterized by a high disability rate and an unfavorable prognosis. It has often been underdiagnosed and misdiagnosed as idiopathic transverse myelitis (ITM). This study aimed to describe the clinical features, radiological biomarkers, treatments, and functional ...
Zeqiang Ji, Jianlong Zhang, Yiming Shi, Shiyu Shan, Yang Du, Guangshuo Li, Ying Jin, Yani Zhang, Chuanying Wang, Yijun Lin, Yuhao Guo, Decai Tian, Xingquan Zhao, Tian Song   +13 more
wiley   +1 more source

On Computing the Multivariate Poisson Probability Distribution

, 2023
Within the theory of non-negative integer valued multivariate infinitely divisible distributions, the multivariate Poisson distribution plays a key role.
J.B.G. Frenk, Javadi, Sonya, Frenk, Johannes Bartholomeus Gerardus, Sonya Javadi, Frenk, J.B.G., Frenk, Hans, Çekyay, Bora, Bora Çekyay   +7 more
core   +1 more source

Fault probability identification method for distribution networks based on mov-MF distribution

Frontiers in Energy Research
To address the fault identification challenge in distribution networks, a method leveraging a mixture of the von Mises–Fisher (mov-MF) distribution model for fault probability identification is proposed.
Jiang Li, Zhengran Sun, Bo Liu
doaj   +1 more source

Assessment of Riverine Currents to Estimate the Theoretical Hydrokinetic Power and Energy Using Hydraulic Geometry [PDF]

Journal of Agricultural Machinery
IntroductionThere are two types of hydropower harvesting methods: conventional and unconventional. In the conventional method, the potential energy of water is harvested using a dam or barrage. However, in the unconventional method, the kinetic energy of
M. Sadeghi-Delooee, R. Alimardani, H. Mousazadeh   +2 more
doaj   +1 more source

Brainstem and Cerebellar Volume Loss and Associated Clinical Features in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel, Timothy P. Siejka, Cassandra Marotta, Josh J. Y. Lee, Kelly Bertram, Terence J. O'Brien, Meng Law, Lucy Vivash, Ian H. Harding   +8 more
wiley   +1 more source

Bayesian Methods Start With a Prior Distribution

, 2007
this paper the mode of the a posteriori distribution (MAP) is used to estimate S.
S, Probability Distribution
core  

Approximation of binomial probability function for a normal probability function

, 2011
Notions of statistics and probabilityThe digital animation presents the approximation of the function of the binomial probability for a function of normal probability, also known as Gaussian distribution.
Rojo, Isabel Martín, Lopez, Miguel Angel de la Fuente, Pujato, Carmen Candioti Lopez, Barrio, Manuel Gertrudix   +3 more
core   +1 more source