Wealth breeds decline : Reversals of leadership and consumption habits

In a two- region model, we formalize Kindleberger’s idea that wealth breeds first more wealth, and then decline : when one region leads, its inhabitants develop consumption habits incompatible with the necessary investment in knowledge to remain the leader. This gives the other region a window of opportunity to gain economic primacy. We learn from the theoretical model that differences across regions that have similar characteristics may persist even if physical capital flows from rich to poor regions. By exploiting the economics of the Hopf bifurcation we study patterns of alternating privacy, irreversible decline and monotonic convergence, according to the initial dispersion of knowledge and the strength of consumption habits. Even though exogenous factors may matter on some occasions, we show that they are not necessary to reverse economic leadership.consumption habits; over-taking;regional primacy; capital mobility

An Efficient Maximization Algorithm With Implications in Min-Max Predictive Control

n this technical note, an algorithm for binary quadratic programs defined by matrices with band structure is proposed. It was shown in the article by T. Alamo, D. M. de la Pentildea, D. Limon, and E. F. Camacho, ldquoConstrained min-max predictive control: modifications of the objective function leading to polynomial complexity,rdquo IEEE Tran. Autom. Control , vol. 50, pp. 710-714, May 2005, that this class of problems arise in robust model predictive control when min-max techniques are applied. Although binary quadratic problems belongs to a class of NP-complete problems, the computational burden of the proposed maximization algorithm for band matrices is polynomial with the dimension of the optimization variable and exponential with the band size. Computational results and comparisons on several hundred test problems demonstrate the efficiency of the algorithm

Cyclophosphamide and Epirubicin Induce Apoptotic Cell Death In Microglia Cells

Background. Chemotherapy Related Cognitive Impairment’s (CRCI), diminish patient’s quality life, being breast cancer (BC) patients the most affected. Microglia is described to play a major role in CRCI; hence, the aim of this research was to describe the cytotoxicity of cyclophosphamide (CTX) and Epirubicin (EPI), on microglia (SIM-A9), compared to BC cells (4T1). Methods. We assessed cell viability (Resazurin) and cell death (AnnV), as well as nuclear damage with γ-H2AX, p53, p16 and cell cycle analysis (PI staining) by flow cytometry (FC). Furthermore, we evaluated ΔΨm (DIOC6), ROS (DCFDA) and NO (DAF-FM) production. Finally, caspase activation (TF2-VAD-FMK) and autophagy (CYTO-ID). Results. Chemotherapies decrease microglia-cell viability and increase cell death in concentration dependent manner. Increases in p53, p16 and γ-H2AX and, cell cycle arrest was noted by CTX and EPI in SIMA-9 and 4T1 cells.Furthermore, Chemotherapy treatment induces, loss of ΔΨm, and ROS production on SIM-A9 and 4T1, demonstrating that NAC decreases EPI-induced cell death in SIM-A9 and CTX-induced in 4T1. Moreover, caspase activation increases with treatments and its pharmacological blockade inhibits CTX and EPI induced-cell death. Autophagosome formation was observed by EPI and CTX treatment in SIM-A9 as a protective mechanism. Lower EPI concentrations induced cell cycle arrest, γ-H2AX, NO production and pro-inflammatory cytokine release. Conclusions. Chemotherapies induce higher cytotoxicity in microglia than in BC cells. ROS and caspase-dependent, as well as caspase dependent cell death was observed after EPI and CTX treatment in microglia respectively. Low concentrations of EPI induce DNA damage, NO production and cytokine dysregulation

Min–max MPC using a tractable QP problem

Min–max model predictive controllers (MMMPC) suffer from a great computational burden that is often circumvented by using approximate solutions or upper bounds of the worst possible case of a performance index. This paper proposes a computationally efficient MMMPC control strategy in which a close approximation of the solution of the min–max problem is computed using a quadratic programming problem. The overall computational burden is much lower than that of the min–max problem and the resulting control is shown to have a guaranteed stability. A simulation example is given in the paper

Min-Max MPC based on a computationally efficient upper bound of the worst case cost

Min-Max MPC (MMMPC) controllers [P.J. Campo, M. Morari, Robust model predictive control, in: Proc. American Control Conference, June 10–12, 1987, pp. 1021–1026] suffer from a great computational burden which limits their applicability in the industry. Sometimes upper bounds of the worst possible case of a performance index have been used to reduce the computational burden. This paper proposes a computationally efficient MMMPC control strategy in which the worst case cost is approximated by an upper bound based on a diagonalization scheme. The upper bound can be computed with O(n3) operations and using only simple matrix operations. This implies that the algorithm can be coded easily even in non-mathematical oriented programming languages such as those found in industrial embedded control hardware. A simulation example is given in the paper

Min-max model predictive control as a quadratic program

This paper deals with the implementation of min-max model predictive control for constrained linear systems with bounded additive uncertainties and quadratic cost functions. This type of controller has been shown to be a continuous piecewise affine function of the state vector by geometrical methods. However, no algorithm for computing the explicit solution has been given. In this paper, we show that the min-max optimization problem can be expressed as a multi-parametric quadratic program, and so, the explicit form of the controller may be determined by standard multi-parametric techniques

Multiplexed holographic transmission gratings recorded in holographic polymer-dispersed liquid crystals: static and dynamic studies

The optimization of the experimental parameters of two multiplexed holographic transmission gratings recorded in holographic polymer-dispersed liquid crystals is investigated. Two methods are used to record the holograms: simultaneous and sequential multiplexing. These two processes are optimized to produce two multiplexed Bragg gratings that have the same and the highest possible diffraction efficiencies in the first order. The two methods show similar results when suitable recording parameters are used. The parameters of the recorded gratings (mainly the refractive-index modulation) are retrieved by use of an extension of the rigorous coupled-wave theory to multiplexed gratings. Finally, the response of the holograms to an electric field is studied. We demonstrate few coupling effects between the behavior of both gratings, and we expect a possibility of switching from one grating to the other

Assessing Child Obesity and Physical Activity in a Hard-to-Reach Population in California's Central Valley, 2012-2013.

IntroductionIn California's agricultural Central Valley, the rate of childhood obesity is higher than the national average. Adequate physical activity contributes to obesity prevention and its assessment is useful to evaluate the impact of interventions.MethodsNiños Sanos, Familia Sana (Healthy Children, Healthy Family [NSFS]) uses community-based participatory research to implement an intervention program to reduce childhood obesity among people of Mexican origin in the Central Valley. Anthropometric measurements were conducted on more than 650 children enrolled in NSFS. Physical activity data from a subgroup of children aged 4 to 7 years (n = 134) were collected via a wearable accelerometer.ResultsChildren were classified on the basis of age and sex-adjusted body mass index as healthy weight (57.7%); overweight (19.3%), or obese (23%). Logistic regression showed that moderate to vigorous physical activity (MVPA) was associated with a child's likelihood of having a healthy BMI (odds ratio: 1.03; 95% CI, 1.01-1.05; P = .017).ConclusionNSFS's community-based participatory approach resulted in successful use of a commercial electronic device to measure physical activity quantity and quality in this hard-to-reach population. Promotion of adequate daily MVPA is an appropriate and necessary component of NSFS's childhood obesity prevention strategy

Model predictive control techniques for hybrid systems

This paper describes the main issues encountered when applying model predictive control to hybrid processes. Hybrid model predictive control (HMPC) is a research field non-fully developed with many open challenges. The paper describes some of the techniques proposed by the research community to overcome the main problems encountered. Issues related to the stability and the solution of the optimization problem are also discussed. The paper ends by describing the results of a benchmark exercise in which several HMPC schemes were applied to a solar air conditioning plant.Ministerio de Eduación y Ciencia DPI2007-66718-C04-01Ministerio de Eduación y Ciencia DPI2008-0581