Search results for "BED"

Myocarditis: from bench to bedside. LT Cooper Jr (Ed.). Humana Press, Totowa, NJ, 2002. ISBN: 1 58829 112 X/03

2003

Schlafenszeiten, Fernseh- und Computergewohnheiten von Grundschulkindern in Deutschland

2007

Background Pediatricians recommend daily sleep of at least ten hours for children aged 9 and 10 years. Sufficient sleep is necessary for maintaining the body's homeostasis, as well as for fixing memories and learning. Lack of sleep in children has been associated with a diminished school performance, reduced attention span, and obesity. Adulthood is influenced by childhood lifestyle habits. Data from 4th graders in 34 schools in Mainz and its surroundings were analysed in order to determine negative health lifestyle factors in German primary school children, such as lack of sleep and increased leisure time spent watching television and computer gaming. Methods Data from a cross-sectional st…

One coast, two systems: Regional innovation systems and entrepreneurial discovery in Western Norway

2021

This paper introduces an analytical framework for understanding how specialized and diversified regional innovation system (RIS) differ in the way an entrepreneurial discovery process (EDP) is likely to unfold. To analytically explore the proposed framework, we deploy a sequential explanatory design approach, using quantitative data to analyze the regional industry structure of the city regions of Bergen and Stavanger in Western Norway, followed by a qualitative analysis of interviews with key stakeholders in both regions. We find that the city regions face unique challenges that align with an understanding of their respective RIS categorization, providing evidence that the framework propos…

Analysis of good corporate governance at Indonesian telecom industry after privatization: case study at PT Telekom an PT Indosat

2006

Masteroppgave i økonomi og administrasjon, Høgskolen i Agder, Kristiansand The objective of this research is to examine whether there are differences of implementation of good corporate governance of company which privatized using different methods. This is relevant with the change of privatization pattern conducted by the government of Indonesia toward its state-owned companies, from Public Offering to Strategic Sale. One of important decisions taken by the government after the economic crisis is privatization of state-owned companies. It is done because the government finds difficulties to financing its national development programs and economic recovery. From company side, the change of …

Balancing Roles of Representation in the European Commission

2008

Representation is one essential dimension of executive governance. This article has a dual ambition: The first is to outline an institutional perspective on representation that may explore and explain the everyday balancing act of representation among government officials. The second ambition is to empirically illuminate dynamics of representation among crucial test-bed inside the European Commission, that of temporary officials. Temporary Commission officials offer a valuable laboratory for exploring the fine balancing act of representation. Based on survey and interview data on temporary Commission officials, this study supports an institutional perspective on representation in two ways. …

A Graph Database Approach to Wireless IIoT Workcell Performance Evaluation

2020

The workcell is considered a main building block of various industrial settings. Hence, it is examined as a primary testing environment for studying wireless communication techniques in factory automation processes. A new testbed was recently designed and developed to facilitate such studies in workcells by replicating various data flows in an emulated production environment. In this paper, an approach to storing and analyzing network performance data from a manufacturing factory workcell is introduced. A robotic testbed was constructed using two collaborative grade robot arms, machine emulators, and wireless communication devices. A graph database approach was implemented to capture networ…

Semisupervised nonlinear feature extraction for image classification

2012

Feature extraction is of paramount importance for an accurate classification of remote sensing images. Techniques based on data transformations are widely used in this context. However, linear feature extraction algorithms, such as the principal component analysis and partial least squares, can address this problem in a suboptimal way because the data relations are often nonlinear. Kernel methods may alleviate this problem only when the structure of the data manifold is properly captured. However, this is difficult to achieve when small-size training sets are available. In these cases, exploiting the information contained in unlabeled samples together with the available training data can si…

Kernel-Based Inference of Functions Over Graphs

2018

Abstract The study of networks has witnessed an explosive growth over the past decades with several ground-breaking methods introduced. A particularly interesting—and prevalent in several fields of study—problem is that of inferring a function defined over the nodes of a network. This work presents a versatile kernel-based framework for tackling this inference problem that naturally subsumes and generalizes the reconstruction approaches put forth recently for the signal processing by the community studying graphs. Both the static and the dynamic settings are considered along with effective modeling approaches for addressing real-world problems. The analytical discussion herein is complement…

Model selection based product kernel learning for regression on graphs

2013

The choice of a suitable graph kernel is intrinsically hard and often cannot be made in an informed manner for a given dataset. Methods for multiple kernel learning offer a possible remedy, as they combine and weight kernels on the basis of a labeled training set of molecules to define a new kernel. Whereas most methods for multiple kernel learning focus on learning convex linear combinations of kernels, we propose to combine kernels in products, which theoretically enables higher expressiveness. In experiments on ten publicly available chemical QSAR datasets we show that product kernel learning is on no dataset significantly worse than any of the competing kernel methods and on average the…

A structural cluster kernel for learning on graphs

2012

In recent years, graph kernels have received considerable interest within the machine learning and data mining community. Here, we introduce a novel approach enabling kernel methods to utilize additional information hidden in the structural neighborhood of the graphs under consideration. Our novel structural cluster kernel (SCK) incorporates similarities induced by a structural clustering algorithm to improve state-of-the-art graph kernels. The approach taken is based on the idea that graph similarity can not only be described by the similarity between the graphs themselves, but also by the similarity they possess with respect to their structural neighborhood. We applied our novel kernel in…