Amnesiac mutant flies have an olfactory memory defect. The amn gene encodes a homolog of vertebrate pituitary adenylate cyclase-activating peptide (PACAP), and it is strongly expressed in dorsal paired medial (DPM) neurons. DPM neurons ramify throughout the mushroom bodies in the adult fly brain, and they are required for stable memory. Here, we show that DPM neuron output is only required duri...

The Dirichlet process mixture (DPM) is a ubiquitous, flexible Bayesian nonparametric model. However, full probabilistic inference in this model is analytically intractable, so that computationally intensive techniques such as Gibb’s sampling are required. As a result, DPM-based methods, which have considerable potential, are restricted to applications in which computational resources and time f...

Abstract Based on the Euler-Euler-Lagrangian framework, Euler-Euler two-fluid model coupled with population balance (PBM) and Discrete Phase Model (DPM) were used to simulate gas-liquid-solid three phase dynamic behavior in laboratory bubble column. The non-Newtonian properties of liquid was considered numerical simulation, cases different models discussed. It is found that peak value velocity ...

We propose Dirichlet process mixture (DPM) models for prediction and cluster-wise variable selection, based on two choices of shrinkage baseline prior distributions the linear regression coefficients, namely, Horseshoe Normal-Gamma prior. show in a simulation study that each proposed DPM tends to outperform standard model non-shrinkage normal prior, terms predictive, clustering accuracy. This i...

BACKGROUND In the UK, people aged 85 and over are the fastest growing population group and are predicted to double in number by 2030. Emergency hospital admissions are also rising. METHODS All emergency admissions for the registered population in Devon to all English hospitals were analysed by age, and admission rates per thousand registered were calculated. The Devon Predictive Model (DPM) w...

In this paper we investigate the datapath merging problem (DPM) in reconfigurable systems. DPM is in NP-hard and it is described here in terms of a graph optimization problem. We present an Integer Programming (IP) formulation of DPM and introduce some valid inequalities for the convex hull of integer solutions. These inequalities form the basis of a branch-and-cut algorithm that we implemented...

Background Various studies have been conducted so far regarding feeding infants exclusively with natural mother milk; various factors, which may influence feeding process, are occupation of mothers, sickness of infants or mother. This study aimed to assess the relationship between maternal general health and feeding pattern of infants. Materials and Methods This cross-sectional study was done i...

This paper proposes a new efficient merge-split sampler for both conjugate and nonconjugate Dirichlet process mixture (DPM) models. These Bayesian nonparametric models are usually fit usingMarkov chain Monte Carlo (MCMC) or sequential importance sampling (SIS). The latest generation of Gibbs and Gibbs-like samplers for both conjugate and nonconjugate DPM models effectively update the model para...

In this article, we present a novel approach to IP Traceback – deterministic packet marking (DPM). DPM is based on marking all packets at ingress interfaces. DPM is scalable, simple to implement, and introduces no bandwidth and practically no processing overhead on the network equipment. It is capable of tracing thousands of simultaneous attackers during a DDoS attack. Given sufficient deployme...