s of Invited Talks Alexandru Aleman, Lund University Derivation-invariant subspaces of C∞ Abstract: One motivation for the study of invariant subspaces of the differentiation operator d dx on the locally convex spaces C∞(a, b) is the fact that, as opposed to differentiation on the space of entire functions, the so-called property of spectral synthesis fails dramatically in this context. Not onl...

for all grades of severity and even with normal pregnancy. Thereafter, however, the lines diverge and for normal or only mildly affected cases the bilirubin value progressively falls, while for stillbirth and very severe disease it progressively rises. Moderately affected infants fall in the intermediate zone. At all stages of gestation one liquor bilirubin value unless extreme can be misleadin...

BACKGROUND Counseling patients with enhancing renal mass currently occurs in the context of significant uncertainty regarding tumor pathology. OBJECTIVE We evaluated whether radiographic features of renal masses could predict tumor pathology and developed a comprehensive nomogram to quantitate the likelihood of malignancy and high-grade pathology based on these features. DESIGN, SETTING, AN...

Gene Regulatory Networks (GRN) provide systematic views of complex living systems, offering reliable and large-scale GRNs to identify disease candidate genes. A reverse engineering technique, Bayesian Model Averaging-based Networks (BMAnet), which ensembles all appropriate linear models to tackle uncertainty in model selection that integrates heterogeneous biological data sets is introduced. Us...

The study of negative emotional states (anxiety and aggressiveness) proposed in the article was conducted grades 10–11 (N=54). In course study, an observation program developed used on topic "USE as a factor occurrence high school students." purpose observation, object, subject, situation number duration observations, list indicators, signs external manifestations anxiety, aggressiveness fear a...

A firm has to decide sequentially to replace its technology and to implement a new one chosen among an increasing range over time under technological and market uncertainty. The optimal decision rule is a (s, S) style policy where the trigger and target technology levels are positively correlated with boom persistence and negatively related with recession persistence and technological uncertain...

As one of the most essential parts military operation, ability weapon systems to achieve operation mission is vital success a operation. Focusing on problem system effectiveness assessment (WSEA) under interval uncertainty, this paper proposed WSEA method that utilized interval-valued evidential reasoning (ER) algorithm, analytical hierarchy process (AHP), and two-grade ranking properly deal wi...

Prediction uncertainty has rarely been integrated into traditional soft sensors in industrial processes. In this work, a novel auto-switch probabilistic soft sensor modeling method is proposed for online quality prediction of a whole industrial multi-grade process with several steady-state grades and transitional modes. Several single Gaussian process regression (GPR) models are first construct...