The effect of interocular phase difference on perceived contrast

Binocular vision is traditionally treated as two processes: the fusion of similar images, and the interocular suppression of dissimilar images (e.g. binocular rivalry). Recent work has demonstrated that interocular suppression is phase-insensitive, whereas binocular summation occurs only when stimuli are in phase. But how do these processes affect our perception of binocular contrast? We measured perceived contrast using a matching paradigm for a wide range of interocular phase offsets (0–180°) and matching contrasts (2–32%). Our results revealed a complex interaction between contrast and interocular phase. At low contrasts, perceived contrast reduced monotonically with increasing phase offset, by up to a factor of 1.6. At higher contrasts the pattern was non-monotonic: perceived contrast was veridical for in-phase and antiphase conditions, and monocular presentation, but increased a little at intermediate phase angles. These findings challenge a recent model in which contrast perception is phase-invariant. The results were predicted by a binocular contrast gain control model. The model involves monocular gain controls with interocular suppression from positive and negative phase channels, followed by summation across eyes and then across space. Importantly, this model—applied to conditions with vertical disparity—has only a single (zero) disparity channel and embodies both fusion and suppression processes within a single framework.

Are HRM practices related with patient mortality in NHS hospitals?:A study examining the underlying reasons for such an association

This thesis will report details of two studies conducted within the National Health Service in the UK that examined the association between HRM practices related to training and appraisal with health outcomes within NHS Trusts. Study one represents the organisational analysis of 61 NHS Trusts, and will report training and appraisal practices were significantly associated with lower patient mortality. Specifically, the research will show significantly lower patient mortality within NHS Trusts that: a) had achieved Investors in People accreditation; b) had a formal strategy document relating to training; c) had tailored training policy documents across occupational groups; d) had integrated training and appraisal practices; e) had a high percentage of staff receiving either an appraisal or updated personal development plan. There was also evidence of an additive effect where NHS Trusts that displayed more of these characteristics had significantly lower patient mortality. Study one in this thesis will also report significantly lower patient mortality within the NHS Trusts where there was broad level representation for the HR function. Study two will report details of a study conducted to examine the potential reasons why HR practices may be related to hospital performance. Details are given of the results of a staff attitudinal survey within five NHS Trusts. This study examined will show that a range of developmental activity, the favourability of the immediate work environment (in relation to social support and role stressors) and motivational outcomes are important antecedents to citizenship behaviours. Furthermore, the thesis will report that principles of the demand-control model were adopted to examine the relationship between workplace support and role stressors, and workplace support, influence, and an understanding of role expectation help mitigate against the negative effects of work demands upon motivational outcomes.

Child parent dyadic treatment for anxiety disorders in youths

There is evidence for the efficacy of treatments for childhood anxiety disorders; however, less is known about whether including parents in the child's treatment enhances child treatment response. There also are few studies that have examined predictors of treatment completion/non-completion and success/failure. In this dissertation, a child focused individual treatment was compared to a dyadic child-parent treatment. In dyadic, parent anxiety symptoms and child-parent relationships were targeted. Based on the Transfer of Control Model proposed by Silverman and Kurtines (1996a, b, 2005), it was hypothesized that treatment changes in parent anxiety symptoms and child-parent relationships would be related to positive child treatment response. ^ Participants were 119 youths (ages 6 to 16 years, M = 9.93 SD = 2.75; 68 girls) and their parents. All youth were born in the U.S. but had various backgrounds; 40 were European American, 73 were Latinos/as, 6 were of other ethnic backgrounds or did not report their ethnicity. Participants signed informed consent (assent for youths) and completed a pretreatment assessment. Participants were randomized to a child individual treatment or dyadic treatment, were assessed immediately after treatment and one year post treatment. Findings showed that treated youths improved across all measures over time. Comparison of treatment conditions across all measures showed no statistically significant differences between the child individual and dyadic treatment. Reductions in parent anxiety symptoms and improvements in child-parent relationships were significantly related to child treatment change at posttreatment and at one year follow-up across treatments. No factors differentiated completers from non-completers and only parent reported child internalizing behavior problems were significantly negatively related to child treatment response. ^ The study findings support a premise of the Transfer of Control Model that changes in parent anxiety symptoms and child-parent relationships are related to child treatment response. The study findings show that children can be successfully treated when parents are included as co-clients in dyadic treatment, thereby supporting the utility of this approach in practice. ^

Mellanchefers upplevelser av psykosocial arbetsmiljö inom distributions- och logistikverksamhet – en pendling mellan hög aktivitet och låg stress?

Forskarnas genuina intresse för den psykosociala arbetsmiljön med koppling mellanchefer gav upphov till att dyka djupare inom området och belysa centrala delar i form av krav, kontroll och socialt stöd. Framåtskridandet går mot en ökad medvetenhet kring den psykosociala arbetsmiljön, då ohälsan i arbetslivet ökar och Arbetsmiljöverkets nya föreskrift om organisatorisk och social arbetsmiljö är i fokus. I linje med en ökad medvetenhet som sker kring den psykosociala arbetsmiljön vill vi rikta ett särskilt fokus till mellanchefer som bör ha en förmåga att hantera krav både uppifrån och ned. Studien har främst utgått från Robert Karaseks och Töres Theorells Krav – kontroll – stödmodellen. Syftet är att undersöka mellanchefers upplevelse med fokus på den psykosociala arbetsmiljön i ett privat företag inom distributions- och logistikverksamhet. Metoden har bestått av en kvalitativ metod i form av en fallstudie där semistrukturerade intervjuer ligger som grund med åtta respondenter ifrån distributionscentret. Resultatet uppvisar att mellancheferna har en hög grad av inflytande, upplevelsen av arbetskrav varierar men i koppling till befattningen är kraven rimliga. Det sociala stödet upplevs som bra på arbetsplatsen och anses av funktionscheferna som en viktig och central del i arbetet. Slutsatser som har uppnåtts är att funktionscheferna har rimliga krav och upplever en bra nivå av kontroll i arbetet, men att ha en alltför hög kontroll i arbetet kan leda till negativ stress. En balans i pendlingen mellan aktiva arbeten och lågstressarbeten anses vara en fördel för att bevara en god psykosocial arbetsmiljö. Detta för att motverka de negativa effekterna som kan uppstå av att befinna sig inom varje komponent för länge. I studien har det påvisats att företaget anses ha en god psykosocial arbetsmiljö och därmed kan ses som ett gott exempel i arbetslivet.

Indirect Effects of Parental Coping on Children’s Psychosocial Adjustment in the Context of Pediatric Cancer

Thesis (Ph.D.)--University of Washington, 2016-08

Évaluation du contrôle sensorimoteur chez les patients ayant une scoliose idiopathique de l'adolescent - Vers un biomarqueur des troubles sensorimoteur basé sur la stimulation vestibulaire galvanique

La scoliose est la pathologie déformante du rachis la plus courante de l’adolescence. Dans 80 % des cas, elle est idiopathique, signifiant qu’aucune cause n’a été associée. Les scolioses idiopathiques répondent à un modèle multifactoriel incluant des facteurs génétiques, environnementaux, neurologiques, hormonaux, biomécaniques et de croissance squelettique. Comme hypothèse neurologique, une anomalie vestibulaire provoquerait une asymétrie d’activation des voies vestibulospinales et des muscles paravertébraux commandés par cette voie, engendrant la déformation scoliotique. Certains modèles animaux permettent de reproduire ce mécanisme. De plus, des anomalies liées au système vestibulaire, comme des troubles de l’équilibre, sont observées chez les patients avec une scoliose. La stimulation vestibulaire galvanique permet d’explorer le contrôle sensorimoteur de l’équilibre puisqu’elle permet d’altérer les afférences vestibulaires. L’objectif de cette thèse est d’explorer le contrôle sensorimoteur en évaluant la réaction posturale provoquée par cette stimulation chez les patients et les participants contrôle. Dans la première étude, les patients sont plus déstabilisés que les contrôles et il n’y a pas de lien entre l’ampleur de l’instabilité et la sévérité de la scoliose. Dans la deuxième étude, à l’aide d’un modèle neuromécanique, un poids plus grand aux signaux vestibulaires a été attribué aux patients. Dans la troisième étude, un problème sensorimoteur est également observé chez les jeunes adultes ayant une scoliose, excluant ainsi que le problème soit dû à la maturation du système nerveux. Dans une étude subséquente, des patients opérés pour réduire leur déformation du rachis, montrent également une réaction posturale de plus grande amplitude à la stimulation comparativement à des participants contrôle. Ces résultats suggèrent que l’anomalie sensorimotrice ne serait pas secondaire à la déformation. Finalement, un algorithme a été développé pour identifier les patients ayant un problème sensorimoteur. Les patients montrant un contrôle sensorimoteur anormal ont également une réponse vestibulomotrice plus grande et attribuent plus de poids aux informations vestibulaires. Globalement, les résultats de cette thèse montrent qu’un déficit sensorimoteur expliquerait l’apparition de la scoliose mais pas sa progression. Le dysfonctionnement sensorimoteur n’est pas présent chez tous les patients. L’algorithme permettant une classification de la performance sensorimotrice pourrait être utile pour de futures études cliniques.

Coordinated pricing and inventory management

This dissertation mainly focuses on coordinated pricing and inventory management problems, where the related background is provided in Chapter 1. Several periodic-review models are then discussed in Chapters 2,3,4 and 5, respectively. Chapter 2 analyzes a deterministic single-product model, where a price adjustment cost incurs if the current selling price is changed from the previous period. We develop exact algorithms for the problem under different conditions and find out that computation complexity varies significantly associated with the cost structure. %Moreover, our numerical study indicates that dynamic pricing strategies may outperform static pricing strategies even when price adjustment cost accounts for a significant portion of the total profit. Chapter 3 develops a single-product model in which demand of a period depends not only on the current selling price but also on past prices through the so-called reference price. Strongly polynomial time algorithms are designed for the case without no fixed ordering cost, and a heuristic is proposed for the general case together with an error bound estimation. Moreover, our illustrates through numerical studies that incorporating reference price effect into coordinated pricing and inventory models can have a significant impact on firms' profits. Chapter 4 discusses the stochastic version of the model in Chapter 3 when customers are loss averse. It extends the associated results developed in literature and proves that the reference price dependent base-stock policy is proved to be optimal under a certain conditions. Instead of dealing with specific problems, Chapter 5 establishes the preservation of supermodularity in a class of optimization problems. This property and its extensions include several existing results in the literature as special cases, and provide powerful tools as we illustrate their applications to several operations problems: the stochastic two-product model with cross-price effects, the two-stage inventory control model, and the self-financing model.

Seguridad comunitaria y el rol de la policía

Se desarrolla un marco teórico de la seguridad comunitaria al definirla a partir de la evolución que ha tenido el tema de la seguridad comunitaria a partir de la adopción del enfoque más amplio de la seguridad humana de los habitantes como base y eje de las políticas públicas, de donde nace un nuevo conjunto de prioridades para la erradicación de los factores de riesgo social asociados o que son proclives a la violencia y la comisión de delitos, tales como la deserción escolar, el desempleo, la violencia en todas sus formas, la inequidad de género y diversidad social, la falta de cohesión social, las migraciones, internas o externas, forzadas por las condiciones de vida. El enfoque se basa en un nuevo modelo criminológico que está sustentado en el marco de los derechos humanos, la seguridad humana y el modelo de control social democrático para formar un modelo de desarrollo humano sostenible, por tanto la prevención sustentada en políticas públicas para la seguridad humana, la participación comunitaria y el nuevo rol de la policía comunitaria.It develops a theoretical framework for defining the community from the developments that have taken the issue of community safety from the adoption of the broader approach to human security of people as the basis and focus of public policy, arises where a new set of priorities for the eradication of social risk factors that are associated with or prone to violence and committing crimes, such as school dropouts, unemployment, violence in all its forms, gender inequity and social diversity, lack of social cohesion, migration, internal or external, forced by the conditions of life. The approach is based on a new criminological model that is based on the framework of human rights, human security and control model to form a social democratic model of sustainable human development, thus preventing sustained public policies for security human, community involvement and the new role of community police.

Robust integration of real time optimization with linear model predictive control

Here, we study the stable integration of real time optimization (RTO) with model predictive control (MPC) in a three layer structure. The intermediate layer is a quadratic programming whose objective is to compute reachable targets to the MPC layer that lie at the minimum distance to the optimum set points that are produced by the RTO layer. The lower layer is an infinite horizon MPC with guaranteed stability with additional constraints that force the feasibility and convergence of the target calculation layer. It is also considered the case in which there is polytopic uncertainty in the steady state model considered in the target calculation. The dynamic part of the MPC model is also considered unknown but it is assumed to be represented by one of the models of a discrete set of models. The efficiency of the methods presented here is illustrated with the simulation of a low order system. (C) 2010 Elsevier Ltd. All rights reserved.

Real time optimization (RTO) with model predictive control (MPC)

This paper studies a simplified methodology to integrate the real time optimization (RTO) of a continuous system into the model predictive controller in the one layer strategy. The gradient of the economic objective function is included in the cost function of the controller. Optimal conditions of the process at steady state are searched through the use of a rigorous non-linear process model, while the trajectory to be followed is predicted with the use of a linear dynamic model, obtained through a plant step test. The main advantage of the proposed strategy is that the resulting control/optimization problem can still be solved with a quadratic programming routine at each sampling step. Simulation results show that the approach proposed may be comparable to the strategy that solves the full economic optimization problem inside the MPC controller where the resulting control problem becomes a non-linear programming problem with a much higher computer load. (C) 2010 Elsevier Ltd. All rights reserved.

Optimizing model predictive control of an industrial distillation column

The main scope of this work is the implementation of an MPC that integrates the control and the economic optimization of the system. The two problems are solved simultaneously through the modification of the control cost function that includes an additional term related to the economic objective. The optimizing MPC is based on a quadratic program (QP) as the conventional MPC and can be solved with the available QP solvers. The method was implemented in an industrial distillation system, and the results show that the approach is efficient and can be used, in several practical cases. (C) 2011 Elsevier Ltd. All rights reserved.

Stable Model Predictive Control for Integrating Systems with Optimizing Targets

This paper concern the development of a stable model predictive controller (MPC) to be integrated with real time optimization (RTO) in the control structure of a process system with stable and integrating outputs. The real time process optimizer produces Optimal targets for the system inputs and for Outputs that Should be dynamically implemented by the MPC controller. This paper is based oil a previous work (Comput. Chem. Eng. 2005, 29, 1089) where a nominally stable MPC was proposed for systems with the conventional control approach where only the outputs have set points. This work is also based oil the work of Gonzalez et at. (J. Process Control 2009, 19, 110) where the zone control of stable systems is studied. The new control for is obtained by defining ail extended control objective that includes input targets and zone controller the outputs. Additional decision variables are also defined to increase the set of feasible solutions to the control problem. The hard constraints resulting from the cancellation of the integrating modes Lit the end of the control horizon are softened,, and the resulting control problem is made feasible to a large class of unknown disturbances and changes of the optimizing targets. The methods are illustrated with the simulated application of the proposed,approaches to a distillation column of the oil refining industry.

Robust model predictive control with zone control

Model predictive control (MPC) is usually implemented as a control strategy where the system outputs are controlled within specified zones, instead of fixed set points. One strategy to implement the zone control is by means of the selection of different weights for the output error in the control cost function. A disadvantage of this approach is that closed-loop stability cannot be guaranteed, as a different linear controller may be activated at each time step. A way to implement a stable zone control is by means of the use of an infinite horizon cost in which the set point is an additional variable of the control problem. In this case, the set point is restricted to remain inside the output zone and an appropriate output slack variable is included in the optimisation problem to assure the recursive feasibility of the control optimisation problem. Following this approach, a robust MPC is developed for the case of multi-model uncertainty of open-loop stable systems. The controller is devoted to maintain the outputs within their corresponding feasible zone, while reaching the desired optimal input target. Simulation of a process of the oil re. ning industry illustrates the performance of the proposed strategy.

Distributed power control algorithm for multiple access systems based on Verhulst model

In this paper the continuous Verhulst dynamic model is used to synthesize a new distributed power control algorithm (DPCA) for use in direct sequence code division multiple access (DS-CDMA) systems. The Verhulst model was initially designed to describe the population growth of biological species under food and physical space restrictions. The discretization of the corresponding differential equation is accomplished via the Euler numeric integration (ENI) method. Analytical convergence conditions for the proposed DPCA are also established. Several properties of the proposed recursive algorithm, such as Euclidean distance from optimum vector after convergence, convergence speed, normalized mean squared error (NSE), average power consumption per user, performance under dynamics channels, and implementation complexity aspects, are analyzed through simulations. The simulation results are compared with two other DPCAs: the classic algorithm derived by Foschini and Miljanic and the sigmoidal of Uykan and Koivo. Under estimated errors conditions, the proposed DPCA exhibits smaller discrepancy from the optimum power vector solution and better convergence (under fixed and adaptive convergence factor) than the classic and sigmoidal DPCAs. (C) 2010 Elsevier GmbH. All rights reserved.