Search results for "TOOLBOX"

A modular "toolbox" approach to flexible branched multimacrocyclic hosts as precursors for multiply interlocked architectures.

2008

Tetralactam macrocycles can be functionalized by a variety of cross-coupling reactions. A modular “toolbox” strategy is presented that allows 1) several tetralactam macrocycles to be covalently connected with each other or with a central spacer, 2) the macrocycles to be substituted with or connected to different chromophores, and 3) metal-coordination sites to be attached to the macrocycles. With this approach a series of different oligo-macrocyclic hosts was obtained with great structural diversity and enormous potential for further functionalization. Rotaxanes made on the basis of these macrocycles have been synthesized to demonstrate their utility in building more complex supramolecular …

SART3D: A MATLAB toolbox for spatial audio and signal processing education

2019

Pre-determinants of Implementing IT Benefits Management in Norwegian Municipalities: Cultivate the Context

2008

The concept of benefits management addresses explicated practices to realize benefits from information technology investments. However, a minority of organizations have implemented those. We explored which pre-determinants affect the implementation of benefits management practices by conducting a Delphi process in the Norwegian municipality sector. The experts represented governmental organs, general management, and municipal service managers. They identified 59 pre-determinants of potential importance. However, the experts reached no significant consensus on the relative importance of the pre-determinants. Instead, we suggest that the identified pre-determinants should be holistically and …

Exploring Frequency-Dependent Brain Networks from Ongoing EEG Using Spatial ICA During Music Listening

2020

Recently, exploring brain activity based on functional networks during naturalistic stimuli especially music and video represents an attractive challenge because of the low signal-to-noise ratio in collected brain data. Although most efforts focusing on exploring the listening brain have been made through functional magnetic resonance imaging (fMRI), sensor-level electro- or magnetoencephalography (EEG/MEG) technique, little is known about how neural rhythms are involved in the brain network activity under naturalistic stimuli. This study exploited cortical oscillations through analysis of ongoing EEG and musical feature during freely listening to music. We used a data-driven method that co…

Automated Creation of Expert Systems with the InteKRator Toolbox

2021

Expert systems have a long tradition in both medical informatics and artificial intelligence research. Traditionally, such systems are created by implementing knowledge provided by experts in a system that can be queried for answers. To automatically generate such knowledge directly from data, the lightweight InteKRator toolbox will be introduced here, which combines knowledge representation and machine learning approaches. The learned knowledge is represented in the form of rules with exceptions that can be inspected and that are easily comprehensible. An inference module allows for the efficient answering of queries, while at the same time offering the possibility of providing explanation…

The effectiveness of the Finnish EIA system — What works, what doesn't, and what could be improved?

2011

Abstract The article summarises the results of a multidisciplinary research project on the effectiveness of the Finnish EIA system. It examines the main strengths and weaknesses of EIA as a preventive and participatory environmental management tool. The study concludes that EIA has achieved a meaningful role in the environmental policy toolbox in Finland and has clearly enhanced the possibilities for high-quality environmental decision making. The research cites the liaison authority system as a clear strength of the Finnish EIA system in its enabling a single regional authority to specialise in and gain wide experience on EIA issues. In examining potential weaknesses of the regime, the art…

Poor estimates of motor variability are associated with longer grooved pegboard times for middle-aged and older adults

2018

Goal-directed movements that involve greater motor variability are performed with an increased risk that the intended goal will not be achieved. The ability to estimate motor variability during such actions varies across individuals and influences how people decide to move about their environment. The purpose of our study was to identify the decision-making strategies used by middle-aged and older adults when performing two goal-directed motor tasks and to determine if these strategies were associated with the time to complete the grooved pegboard test. Twenty-one middle-aged (48 ± 6 yr; range 40–59 yr, 15 women) and 20 older adults (73 ± 4 yr; range 65–79 yr, 8 women) performed two target…

Resilience Patterns

2015

Resilience, or the capacity to be able to develop oneself successfully despite adverse circumstances, has become a concept of interest in recent years. There is a clear relationship between resilience, psychological well-being, and coping strategies. This study looked at 890 subjects with a mean age of 46.77 ( SD = 20.86) years, ranging from 18 and 95 years old. The participants were 40.6% men and 59.4% women. Using this sample, three clusters were developed by MATLAB R2010a and the Self-Organizing Maps toolbox. Two of these had high resilience, and the other one had low resilience; the psychological well-being variables and coping strategies were taken into account. Thereafter, multivaria…

Manager's Toolbox for OSS/BSS Market Analysis

2009

The purpose of this section is to provide a set of quick tools for analysts and managers to analyze the status of the telecom operator software market.

Introducing ARTMO's Machine-Learning Classification Algorithms Toolbox: Application to Plant-Type Detection in a Semi-Steppe Iranian Landscape.

2022

Accurate plant-type (PT) detection forms an important basis for sustainable land management maintaining biodiversity and ecosystem services. In this sense, Sentinel-2 satellite images of the Copernicus program offer spatial, spectral, temporal, and radiometric characteristics with great potential for mapping and monitoring PTs. In addition, the selection of a best-performing algorithm needs to be considered for obtaining PT classification as accurate as possible . To date, no freely downloadable toolbox exists that brings the diversity of the latest supervised machine-learning classification algorithms (MLCAs) together into a single intuitive user-friendly graphical user interface (GUI). To…