Taking Root in the Silicon Forest: High-technology Firms as Surrogate Universities in Portland, Oregon

Most case studies of successful high-technology industry regions highlight the role of research universities in fostering regional economic development. The Portland, Oregon, region managed to root a thriving high-tech industry in the absence of this critical factor. In this article, I present a case study of the evolution of Portland's high-tech industry and propose that high-tech firms can act as surrogate universities that attract and develop labor, create knowledge, and function as incubators for startups. I conclude that planners working to develop high-tech industries in regions without major research universities should attract R&D-intensive firms, maintain information on key busineses and entrepreneurial ventures, support an innovation milieu, and set realistic goals.

SOMS: SurrOgate MultiStart algorithm for use with nonlinear programming for global optimization

SOMS is a general surrogate-based multistart algorithm, which is used in combination with any local optimizer to find global optima for computationally expensive functions with multiple local minima. SOMS differs from previous multistart methods in that a surrogate approximation is used by the multistart algorithm to help reduce the number of function evaluations necessary to identify the most promising points from which to start each nonlinear programming local search. SOMS’s numerical results are compared with four well-known methods, namely, Multi-Level Single Linkage (MLSL), MATLAB’s MultiStart, MATLAB’s GlobalSearch, and GLOBAL. In addition, we propose a class of wavy test functions that mimic the wavy nature of objective functions arising in many black-box simulations. Extensive comparisons of algorithms on the wavy testfunctions and on earlier standard global-optimization test functions are done for a total of 19 different test problems. The numerical results indicate that SOMS performs favorably in comparison to alternative methods and does especially well on wavy functions when the number of function evaluations allowed is limited.

SOP: Parallel surrogate global optimization with Pareto center selection for computationally expensive single objective problems

This paper presents a parallel surrogate-based global optimization method for computationally expensive objective functions that is more effective for larger numbers of processors. To reach this goal, we integrated concepts from multi-objective optimization and tabu search into, single objective, surrogate optimization. Our proposed derivative-free algorithm, called SOP, uses non-dominated sorting of points for which the expensive function has been previously evaluated. The two objectives are the expensive function value of the point and the minimum distance of the point to previously evaluated points. Based on the results of non-dominated sorting, P points from the sorted fronts are selected as centers from which many candidate points are generated by random perturbations. Based on surrogate approximation, the best candidate point is subsequently selected for expensive evaluation for each of the P centers, with simultaneous computation on P processors. Centers that previously did not generate good solutions are tabu with a given tenure. We show almost sure convergence of this algorithm under some conditions. The performance of SOP is compared with two RBF based methods. The test results show that SOP is an efficient method that can reduce time required to find a good near optimal solution. In a number of cases the efficiency of SOP is so good that SOP with 8 processors found an accurate answer in less wall-clock time than the other algorithms did with 32 processors.

Estimating parameters in Markov models for longitudinal studies with missing data or surrogate outcomes

The discrete-time Markov chain is commonly used in describing changes of health states for chronic diseases in a longitudinal study. Statistical inferences on comparing treatment effects or on finding determinants of disease progression usually require estimation of transition probabilities. In many situations when the outcome data have some missing observations or the variable of interest (called a latent variable) can not be measured directly, the estimation of transition probabilities becomes more complicated. In the latter case, a surrogate variable that is easier to access and can gauge the characteristics of the latent one is usually used for data analysis. ^ This dissertation research proposes methods to analyze longitudinal data (1) that have categorical outcome with missing observations or (2) that use complete or incomplete surrogate observations to analyze the categorical latent outcome. For (1), different missing mechanisms were considered for empirical studies using methods that include EM algorithm, Monte Carlo EM and a procedure that is not a data augmentation method. For (2), the hidden Markov model with the forward-backward procedure was applied for parameter estimation. This method was also extended to cover the computation of standard errors. The proposed methods were demonstrated by the Schizophrenia example. The relevance of public health, the strength and limitations, and possible future research were also discussed. ^

Reflexiones en torno a la génesis del campo religioso y su pertinencia heurística en los albores de la sistematización estatal en el Antiguo Egipto : Una relectura de la sociología de la religión en Pierre Bourdieu

El presente trabajo intenta mostrar de que manera una creencia pre-estatal, reflejo directo "no codificado" de imaginarios sociales indiferenciados, fue reutilizada, reproducida y resignificada por una ideología devenida en dominante y coincidente con el progresivo afianzamiento de la práctica estatal en Egipto. La pretensión es, en tanto y en cuanto esto no implique una artificiosidad forzada como improductiva, rastrear la etiología de la religión de estado en el Egipto faraónico y la relación directa entre la institucionalización de un culto global y la estructuración de lo que pertinentemente llamaremos campo religioso, entendido como una constelación de actores sociales en permanente interacción. La riqueza y amplitud teóricas de los análisis bourdianos, así como una relectura de sus presupuestos sobre la sociología de la religión -campo religioso, capital simbólico, habitus, etc...-, bien pueden contribuir a repensar, desde nuevas perspectivas, el punto de inflexión que supone el comienzo de la interacción entre la naciente práctica estatal y las estructuras de parentesco depositarias de un bagaje de creencias no mediatizadas

Reflexiones en torno a la génesis del campo religioso y su pertinencia heurística en los albores de la sistematización estatal en el Antiguo Egipto : Una relectura de la sociología de la religión en Pierre Bourdieu

El presente trabajo intenta mostrar de que manera una creencia pre-estatal, reflejo directo "no codificado" de imaginarios sociales indiferenciados, fue reutilizada, reproducida y resignificada por una ideología devenida en dominante y coincidente con el progresivo afianzamiento de la práctica estatal en Egipto. La pretensión es, en tanto y en cuanto esto no implique una artificiosidad forzada como improductiva, rastrear la etiología de la religión de estado en el Egipto faraónico y la relación directa entre la institucionalización de un culto global y la estructuración de lo que pertinentemente llamaremos campo religioso, entendido como una constelación de actores sociales en permanente interacción. La riqueza y amplitud teóricas de los análisis bourdianos, así como una relectura de sus presupuestos sobre la sociología de la religión -campo religioso, capital simbólico, habitus, etc...-, bien pueden contribuir a repensar, desde nuevas perspectivas, el punto de inflexión que supone el comienzo de la interacción entre la naciente práctica estatal y las estructuras de parentesco depositarias de un bagaje de creencias no mediatizadas