over the last decade or so, artificial neural networks (anns) have become one of the most promising tools formodelling hydrological processes such as rainfall runoff processes. however, the employment of a single model doesnot seem to be an appropriate approach for modelling such a complex, nonlinear, and discontinuous process thatvaries in space and time. for this reason, this study aims at de...

The paper presents a new method for adaptive selection of Self-Organizing Map (SOM) self-training endpoint. A method is based on the estimation of the newly introduced parameter ∆init and the learning depth parameter κ. In order to propose an optimal range of κ values, the influence of the selected learning depth parameter to the performance of SOM was tested experimentally using input data wit...

The temperature sensitivity of soil organic matter (SOM) decomposition has been a crucial topic in global change research, yet remains highly uncertain. One of the contributing factors to this uncertainty is the lack of understanding about the role of rhizosphere priming effect (RPE) in shaping the temperature sensitivity. Using a novel continuous C-labeling method, we investigated the temperat...

Rising temperatures in the Arctic can affect soil organic matter (SOM) decomposition directly and indirectly, by increasing plant primary production and thus the allocation of plant-derived organic compounds into the soil. Such compounds, for example root exudates or decaying fine roots, are easily available for microorganisms, and can alter the decomposition of older SOM ("priming effect"). We...

Cortical inhibitory neurons exhibit remarkable diversity in their morphology, connectivity, and synaptic properties. Here, we review the function of somatostatin-expressing (SOM) inhibitory interneurons, focusing largely on sensory cortex. SOM neurons also comprise a number of subpopulations that can be distinguished by their morphology, input and output connectivity, laminar location, firing p...

I denna avhandling studeras prostatacancerns naturalförlopp och värdet av befi ntliga prognostiska faktorer. Man studerar också några nya tänkbara prognostiska faktorer. Dessutom tittar man på tids trender för prostata tumörer som är upptäckta incidentalt vid två olika typer av operationer, som görs vid vattenkastningsbesvär. Avhandlingen bygger på två unika prostata cancer material som samlats...

In this paper, we describe the formatting guidelines for IJCA Journal Submission. The SOM, for kohonen Self Organizing Map, has proven to be a classifier of high caliber in the field of speech recognition signals breasts. Thus, several versions and enhancements were applied on this tool such as recurrent SOM 'RSOM', the growing recurrent SOM 'GRSOM' and the growing hierarchi...

The authors investigated the prevalence and characteristics of somatoform (SOM) disorders among 654 subjects with anxiety disorders who were part of the larger Harvard/Brown Anxiety Disorders Research Project. Thirty-six (5.5%) of the subjects had past or current SOM disorders. The subjects with SOM disorders were significantly more likely to have histories of posttraumatic stress disorder (22%...

Over the last decade or so, artificial neural networks (ANNs) have become one of the most promising tools formodelling hydrological processes such as rainfall runoff processes. However, the employment of a single model doesnot seem to be an appropriate approach for modelling such a complex, nonlinear, and discontinuous process thatvaries in space and time. For this reason, this study aims at de...

Somatostatin (SOM) is an endogenous non-opioid neuropeptide that has analgesic effect in rodents and human beings. Previous studies indicated that SOM might be involved in the modulating effects of electroacupuncture (EA). Using immunohistochemistry and RT-PCR, the present study observed the effects of EA on the expression of SOM peptide and preprosomatostatin (ppSOM) mRNA in a rat model of neu...