Search results for "Network"

Positive Psychological Capital as a Predictor of Satisfaction With the Fly-In Fly-Out Model

2021

The flexibility of the markets and international agreements lure a growing number of companies to expand their business beyond frontiers in search for new markets and a bigger business network. Workers, initially called expatriates, become keystones to implant and promote the so desired expansion into the international markets. From the concept of flexpatriate present in the literature in general, we adapted the concept of FLY-in FLY-out (FIFO) to comprehend the organizational flexpatriates. In the midst of the Positive Psychology theories, Luthans et al. underline that workers are the psychological capital of the companies. Therefore, the development of the Positive Psychological Capital b…

Blame game or dialogue? Financial, professional and democratic accountabilities in a complex health care setting

2018

Purpose The purpose of this paper is to investigate how the complexity of the network governance setting affects accountability practices. The authors pay particular attention to the organizational characteristics that may enable a common understanding of multiple accountability relationships, or lead to problems in reconciling competing forms of accountability, thereby appearing as blame game-type behavior. Design/methodology/approach The authors conducted a case study with 31 semi-structured interviews in a Finnish health care organization (FHC) that offers basic public health care services. The organization represents a co-operative arrangement with the main city and three smaller munic…

Data from: Network analysis by simulated annealing of taxa and islands of Macaronesia (North Atlantic Ocean)

2018

With the aim of explaining the role that taxa and island features have in biogeographical patterns, we processed presence-absence matrices of all the Macaronesian native species of ten different taxa (arthropods, birds, bryophytes, fungi, lichens, mammals, mollusks, pteridophytes, reptiles and spermatophytes) through simulated annealing analysis. Distribution patterns among the archipelagos were pinpointed, along with the different biogeographic roles played by islands and species groups. All the networks analysed resulted to be significantly modular and the structure of biogeographic modules reflects known past connections among the archipelagos and the current drivers of species distribut…

Data from: Species’ ecological functionality alters the outcome of fish stocking success predicted by a food-web model

2018

Fish stocking is used worldwide in conservation and management but its effects on food-web dynamics and ecosystem stability are poorly known. To better understand these effects and predict the outcomes of stocking, we used an empirically validated network model of a well-studied lake ecosystem. We simulate two stocking scenarios with two native fish species valuable for fishing. In the first scenario, we stock planktivorous fish (whitefish) larvae in the ecosystem. This leads to 1% increase in adult whitefish biomasses and decreases the biomasses of the top predator (perch). In the second scenario, we also stock perch larvae in the ecosystem. This decreases the planktivorous whitefish and t…

Intact In Vitro Preparations of the Neonatal Rodent Cortex: Analysis of Cellular Properties and Network Activity

2012

Artificial Neural Network Based Abdominal Organ Segmentations: A Review

2015

There are many neural network based abdominal organ segmentation approaches from medical images. Computed tomography images were mostly used in these approaches. Applied techniques are usually based on prior information regarding position, shape, and size of organs in these methods. In the literature, there are only a few neural network based techniques that were implemented to segment abdominal organs from magnetic resonance based images. In this paper, we present these methods and their results.

Beyond the word and image: III. Neurodynamic properties of the semantic network

2019

AbstractUnderstanding the neural process underlying the comprehension of visual images and sentences remains a major open challenge in cognitive neuroscience. We previously demonstrated with fMRI and DTI that comprehension of visual images and sentences describing human activities recruits a common semantic system. The current research tests the hypothesis that this common semantic system will display similar neural dynamics during processing in these two modalities. To investigate these neural dynamics we recorded EEG from naïve subjects as they saw simple narratives made up of a first visual image depicting a human event, followed by a second that was either a sequentially coherent narrat…

The number of contacts in random fibre networks

2012

There is a wide range of materials that can be considered as nonwoven random networks of fibres. Such materials include glass-fibre mats, filters, various paper products and structural components of cells and tissues. The mechanical properties of these kinds of networks have been studied extensively for many decades. As many of such networks form more or less two-dimensional structures, they can, to a good approximation, be considered to consist of randomly distributed fibres or filaments connected at their crossings points. Recent development of the resolution of X-ray computed tomography have enabled imaging of the three dimensional structure of such materials with a resolution sufficient…

Linking immune-mediated damage to neurodegeneration in multiple sclerosis: could network-based MRI help?

2021

Abstract Inflammatory demyelination characterizes the initial stages of multiple sclerosis, while progressive axonal and neuronal loss are coexisting and significantly contribute to the long-term physical and cognitive impairment. There is an unmet need for a conceptual shift from a dualistic view of multiple sclerosis pathology, involving either inflammatory demyelination or neurodegeneration, to integrative dynamic models of brain reorganization, where, glia-neuron interactions, synaptic alterations and grey matter pathology are longitudinally envisaged at the whole-brain level. Functional and structural MRI can delineate network hallmarks for relapses, remissions or disease progression, …

Classification of Schizophrenia Patients and Healthy Controls Using ICA of Complex-Valued fMRI Data and Convolutional Neural Networks

2019

Deep learning has contributed greatly to functional magnetic resonance imaging (fMRI) analysis, however, spatial maps derived from fMRI data by independent component analysis (ICA), as promising biomarkers, have rarely been directly used to perform individualized diagnosis. As such, this study proposes a novel framework combining ICA and convolutional neural network (CNN) for classifying schizophrenia patients (SZs) and healthy controls (HCs). ICA is first used to obtain components of interest which have been previously implicated in schizophrenia. Functionally informative slices of these components are then selected and labelled. CNN is finally employed to learn hierarchical diagnostic fea…