The soil pressure on the bottom surface of foot blades is an important monitoring point during sinking process large underwater caissons. Complex soil-structure interactions occur process, making it difficult to accurately predict blades. Accurate construction processes often rely data from in field. In this study, a data-driven approach used establish relationship between amount caisson and Fu...

In this paper, we study decision trees, which solve problems defined over a specific subclass of infinite information systems, namely: 1-homogeneous binary systems. It is proved that the minimum depth tree (defined as function on number attributes in problem’s description) grows – worst case logarithmically or linearly for each system class. We consider examples including one closely related to...

We introduce an information theoretic model predictive control (MPC) algorithm that is capable of controlling systems with dynamics represented by multi-layer neural networks and subject to complex cost criteria. The proposed approach is validated in two difficult simulation scenarios, a cart-pole swing up and quadrotor navigation task, and on real hardware on a 1/5th scale vehicle in an aggres...

Association rule mining searches for interesting relationship among items in a large data set. Market basket analysis, a typical example of association rule mining, analyzes buying habit of customers by finding association between the different items that customers put in their shopping cart (basket). Apriori algorithm is an influential algorithm for mining frequent itemset for generating assoc...

A better understanding of changes in HIV-1 population genetics with combination antiretroviral therapy (cART) is critical for designing eradication strategies. We therefore analyzed HIV-1 genetic variation and divergence in patients' plasma before cART, during suppression on cART, and after viral rebound. Single-genome sequences of plasma HIV-1 RNA were obtained from HIV-1 infected patients pri...

| This paper presents a neurogenesis process based on the protein regulation system. The novelty consists in applying some genetic algorithm work with neurogenesis, in particular work on genetic operators and work on tness landscapes. In order to get relevant tests with reduced simulation costs, neurogenesis is applied to a well know problem, the cart-pole system, then results are commented.

This paper proposes two algorithms for generating intonation from a mixed CART-HMM intonation model for speech synthesis. Based either on a Viterbi search or on the Expectation-Maximization algorithm, the two generation algorithms are analyzed in terms of likelihood and F0 Root Mean Square Error. Listening tests are performed to subjectively evaluate the quality of the generated intonation.

Cocaine- and amphetamine-regulated transcript (CART) has stimulatory effects on the hypothalamic-pituitary-adrenal axis through direct effects on hypophysiotropic CRH neurons. Recently CART-containing axons have been demonstrated to densely innervate the hypophysiotropic CRH neurons. Based on the sources of the CART-immunoreactive (IR) innervation of the paraventricular nucleus, the putative or...

Cocaine- and amphetamine-regulated transcript (CART) is an anorexigenic peptide widely expressed in the central, peripheral, and enteric nervous systems. CART is also expressed in endocrine cells, including beta-cells during rat development and delta-cells of adult rats. We examined the effect of CART 55-102 on islet hormone secretion, using INS-1(832/13) cells and isolated rat islets. In addit...