Impact of Early Postnatal Androgen Exposure on Voice Development

Background: the impact of early postnatal androgen exposure on female laryngeal tissue may depend on certain characteristics of this exposure. We assessed the impact of the dose, duration, and timing of early androgen exposure on the vocal development of female subjects who had been treated for adrenocortical tumor (ACT) in childhood.Methods: the long-term effects of androgen exposure on the fundamental vocal frequency (F0), vocal pitch, and final height and the presence of virilizing signs were examined in 9 adult (age, 18.4 to 33.5 years) and 10 adolescent (13.6 to 17.8 years) female ACT patients. We also compared the current values with values obtained 0.9 years to 7.4 years after these subjects had undergone ACT surgery, a period during which they had shown normal androgen levels.Results: of the 19 subjects, 17 (89%) had been diagnosed with ACT before 4 years of age, 1 (5%) at 8.16 years, and 1 (5%) at 10.75 years. Androgen exposure (2 to 30 months) was sufficiently strong to cause pubic hair growth in all subjects and clitoromegaly in 74% (14/19) of the subjects, but did not reduce their height from the target value. Although androgen exposure induced a remarkable reduction in F0 (132 Hz) and moderate pitch virilization in 1 subject and partial F0 virilization, resulting in F0 of 165 and 169 Hz, in 2 subjects, the majority had normal F0 ranging from 189 to 245 Hz.Conclusions: Female laryngeal tissue is less sensitive to androgen exposure between birth and adrenarche than during other periods. Differential larynx sensitivity to androgen exposure in childhood and F0 irreversibility in adulthood are age-, concentration-, duration-, and timing-dependent events that may also be affected by exposure to inhibitory or stimulatory hormones. Further studies are required to better characterize each of these factors.

Teaching by Example in Food Assembly by Robot

T. G. Williams, J.J. Rowland, Lee M.H. and M.J. Neal Teaching by Example in Food Assembly by Robot, Proc. 2000 IEEE Int. Conf. On Robotics and Automation, San Francisco, April 2000, pp3247-52.

Interpreting Analytical Spectra with Evolutionary Computation

Rowland, J.J. (2002) Interpreting Analytical Spectra with Evolutionary Computation. In: Fogel, G.B. and Corne, D.W. (eds), Evolutionary Computation in Bioinformatics. Morgan Kaufmann, San Francisco, pp 341--365, ISBN 1-55860-797-8

Teatro historico de las Iglesias del Reyno de Aragon : tomo primero preliminar [-IX]

En Tomo V. 2 h. de grabados calcográficos representando monedas de Huesca.

Diagnóstico de materias primas vegetales para la producción artesanal en el Alto Putumayo, Valle de Sibundoy.

38 hojas : ilustraciones, fotografías.

Cuaderno de diseño de las asesorías de tejeduría en lana y carpintería en madera Valle de Sibundoy - Putumayo : etapa de producción : carpintería en chonta y guadua Mocoa - Putumayo : Etapa de desarrollo de producto.

91 hojas.

Informe de avance de asesoría en diseño familias vinculadas al programa de desarrollo alternativo-PDA.

40 hojas : ilustraciones, fotografías.

Diagnóstico de materias primas vegetales para la producción artesanal en el Alto Putumato, Valle de Sibundoy.

39 hojas : ilustraciones, fotografías.

A California pilgrimage : by one of the pilgrims / Amelia Woodward Truesdell.

http://www.archive.org/details/californiapilgri00truerich

The cloud personal assistant for providing services to mobile clients

This paper introduces the original concept of a cloud personal assistant, a cloud service that manages the access of mobile clients to cloud services. The cloud personal assistant works in the cloud on behalf of its owner: it discovers services, invokes them, stores the results and history, and delivers the results to the mobile user immediately or when the user requests them. Preliminary experimental results that demonstrate the concept are included.

Elective double transfer significantly reduce the risk of multiple pregnancy preserving the chances of pregnancy

info:eu-repo/semantics/nonPublished

Precios del arándano fresco en el mercado mayorista de Estados Unidos con énfasis en el origen argentino y chileno

p.195-205

A generational scheme for partitioning graphs

Graph partitioning divides a graph into several pieces by cutting edges. Very effective heuristic partitioning algorithms have been developed which run in real-time, but it is unknown how good the partitions are since the problem is, in general, NP-complete. This paper reports an evolutionary search algorithm for finding benchmark partitions. Distinctive features are the transmission and modification of whole subdomains (the partitioned units) that act as genes, and the use of a multilevel heuristic algorithm to effect the crossover and mutations. Its effectiveness is demonstrated by improvements on previously established benchmarks.

Case base adaptation using solution-space metrics

In this paper we propose a generalisation of the k-nearest neighbour (k-NN) retrieval method based on an error function using distance metrics in the solution and problem space. It is an interpolative method which is proposed to be effective for sparse case bases. The method applies equally to nominal, continuous and mixed domains, and does not depend upon an embedding n-dimensional space. In continuous Euclidean problem domains, the method is shown to be a generalisation of the Shepard's Interpolation method. We term the retrieval algorithm the Generalised Shepard Nearest Neighbour (GSNN) method. A novel aspect of GSNN is that it provides a general method for interpolation over nominal solution domains. The performance of the retrieval method is examined with reference to the Iris classification problem,and to a simulated sparse nominal value test problem. The introducion of a solution-space metric is shown to out-perform conventional nearest neighbours methods on sparse case bases.