Review of targeted small business procurement activities for the year ended June 30, 2010

Review of targeted small business procurement activities for the year ended June 30, 2010

Licensing and Operating Your Business in Iowa, 2010

The IDED Web site hosts the online Business License Information Center (BLIC) which provides 24/7 access and comprehensive information on compliance requirements for doing business in Iowa. BLIC also provides convenient, effective and timely information on license, permits, and registrations required by the state of Iowa for businesses and occupations. Users may access assistance by license type, keyword, or the business wizard. Many useful factsheets and guides are available at BLIC.

Small Business Environmental Assistance Program, 2010

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Iowa Small Business Owner Reach Your Dreams!, 2010

The Targeted Small Business (TSB) Program is designed to help women, *minorities or persons with disabilities overcome some of the major hurdles of starting or growing an Iowa small business and realize their dream of owning a successful business. *American Indian, Asian, Black, Latino, Pacific Islander

Targeted Small Business Link, January 2011 Vol. 4, no. 1

Targeted Small Business news from the Iowa Department of Economic Development

Targeted Small Business Link, Spring 2011, Vol. 4, no. 2

Targeted Small Business News from the Iowa Department of Economic Development, Spring 2011, Volume 4, Number 2

What do we actually mean by talent in business? Does it really matter?

[spa] La conceptuación de talento ha ido cobrando cada vez más importancia tanto para académicos como profesionales, con el fin de avanzar en el estudio de la gestión del talento. De hecho, la confusión sobre el significado de talento en la realidad empresarial impide llegar a un consenso sobre el concepto y la práctica de la gestión del talento. En este estudio teórico revisamos el concepto de talento en el mundo de la empresa con el fin de resumir lo que hemos aprendido y discutir las ventajas y limitaciones de las diferentes acepciones. Concluimos con la formulación de una definición de este concepto, ya que una correcta interpretación de la gestión del talento—por no hablar de una exitosa gestión del talento— depende de tener una comprensión clara de lo que se entiende por talento en un contexto organizativo. Además, con la definición de talento propuesta delimitamos el concepto de talento evitando algunos problemas detectados en las definiciones anteriores (por ejemplo, generalidades y tautologías), y poniendo de relieve las variables importantes que le afectan y lo hacen más manejable.

Building a Social Accounting Matrix within the ESA95 Framework: Obtaining a Dataset for Applied General Equilibrium Modelling

This research provides a description of the process followed in order to assemble a "Social Accounting Matrix" for Spain corresponding to the year 2000 (SAMSP00). As argued in the paper, this process attempts to reconcile ESA95 conventions with requirements of applied general equilibrium modelling. Particularly, problems related to the level of aggregation of net taxation data, and to the valuation system used for expressing the monetary value of input-output transactions have deserved special attention. Since the adoption of ESA95 conventions, input-output transactions have been preferably valued at basic prices, which impose additional difficulties on modellers interested in computing applied general equilibrium models. This paper addresses these difficulties by developing a procedure that allows SAM-builders to change the valuation system of input-output transactions conveniently. In addition, this procedure produces new data related to net taxation information.

Stochastic Population Projection for Germany - based on the Quadratic Spline approach to modelling age specific fertility rates

This contribution builds upon a former paper by the authors (Lipps and Betz 2004), in which a stochastic population projection for East- and West Germany is performed. Aim was to forecast relevant population parameters and their distribution in a consistent way. We now present some modifications, which have been modelled since. First, population parameters for the entire German population are modelled. In order to overcome the modelling problem of the structural break in the East during reunification, we show that the adaptation process of the relevant figures by the East can be considered to be completed by now. As a consequence, German parameters can be modelled just by using the West German historic patterns, with the start-off population of entire Germany. Second, a new model to simulate age specific fertility rates is presented, based on a quadratic spline approach. This offers a higher flexibility to model various age specific fertility curves. The simulation results are compared with the scenario based official forecasts for Germany in 2050. Exemplary for some population parameters (e.g. dependency ratio), it can be shown that the range spanned by the medium and extreme variants correspond to the s-intervals in the stochastic framework. It seems therefore more appropriate to treat this range as a s-interval covering about two thirds of the true distribution.

What do we actually mean by talent in business? Does it really matter?

[spa] La conceptuación de talento ha ido cobrando cada vez más importancia tanto para académicos como profesionales, con el fin de avanzar en el estudio de la gestión del talento. De hecho, la confusión sobre el significado de talento en la realidad empresarial impide llegar a un consenso sobre el concepto y la práctica de la gestión del talento. En este estudio teórico revisamos el concepto de talento en el mundo de la empresa con el fin de resumir lo que hemos aprendido y discutir las ventajas y limitaciones de las diferentes acepciones. Concluimos con la formulación de una definición de este concepto, ya que una correcta interpretación de la gestión del talento—por no hablar de una exitosa gestión del talento— depende de tener una comprensión clara de lo que se entiende por talento en un contexto organizativo. Además, con la definición de talento propuesta delimitamos el concepto de talento evitando algunos problemas detectados en las definiciones anteriores (por ejemplo, generalidades y tautologías), y poniendo de relieve las variables importantes que le afectan y lo hacen más manejable.

Targeted Small Business Link, Summer 2011, Vol. 4, no. 3

Targeted Small Business News and information from the Iowa Department of Economic Development.

Analysis, modelling and classification of geospatial data using machine learning

The research considers the problem of spatial data classification using machine learning algorithms: probabilistic neural networks (PNN) and support vector machines (SVM). As a benchmark model simple k-nearest neighbor algorithm is considered. PNN is a neural network reformulation of well known nonparametric principles of probability density modeling using kernel density estimator and Bayesian optimal or maximum a posteriori decision rules. PNN is well suited to problems where not only predictions but also quantification of accuracy and integration of prior information are necessary. An important property of PNN is that they can be easily used in decision support systems dealing with problems of automatic classification. Support vector machine is an implementation of the principles of statistical learning theory for the classification tasks. Recently they were successfully applied for different environmental topics: classification of soil types and hydro-geological units, optimization of monitoring networks, susceptibility mapping of natural hazards. In the present paper both simulated and real data case studies (low and high dimensional) are considered. The main attention is paid to the detection and learning of spatial patterns by the algorithms applied.

On the consequences of misspecifing assumptions concerning residuals distribution in a repeated measures and nonlinear mixed modelling context

In this paper we describe the results of a simulation study performed to elucidate the robustness of the Lindstrom and Bates (1990) approximation method under non-normality of the residuals, under different situations. Concerning the fixed effects, the observed coverage probabilities and the true bias and mean square error values, show that some aspects of this inferential approach are not completely reliable. When the true distribution of the residuals is asymmetrical, the true coverage is markedly lower than the nominal one. The best results are obtained for the skew normal distribution, and not for the normal distribution. On the other hand, the results are partially reversed concerning the random effects. Soybean genotypes data are used to illustrate the methods and to motivate the simulation scenarios

SBML qualitative models: a model representation format and infrastructure to foster interactions between qualitative modelling formalisms and tools.

BACKGROUND: Qualitative frameworks, especially those based on the logical discrete formalism, are increasingly used to model regulatory and signalling networks. A major advantage of these frameworks is that they do not require precise quantitative data, and that they are well-suited for studies of large networks. While numerous groups have developed specific computational tools that provide original methods to analyse qualitative models, a standard format to exchange qualitative models has been missing. RESULTS: We present the Systems Biology Markup Language (SBML) Qualitative Models Package ("qual"), an extension of the SBML Level 3 standard designed for computer representation of qualitative models of biological networks. We demonstrate the interoperability of models via SBML qual through the analysis of a specific signalling network by three independent software tools. Furthermore, the collective effort to define the SBML qual format paved the way for the development of LogicalModel, an open-source model library, which will facilitate the adoption of the format as well as the collaborative development of algorithms to analyse qualitative models. CONCLUSIONS: SBML qual allows the exchange of qualitative models among a number of complementary software tools. SBML qual has the potential to promote collaborative work on the development of novel computational approaches, as well as on the specification and the analysis of comprehensive qualitative models of regulatory and signalling networks.