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Experiencing an uproar throughout the last decades, mutual funds have become the most widely spread investment vehicle available to non-institutional and uninformed investors, herein referred to as individual investors. Nowadays, an extensive variety of banks and financial intermediaries offer services and ways for individual investors to easily access a comprehensive range of financial markets at low costs thus allowing for more and more individual investors to gush markets with capital. However, recent shakedowns like the scandals in the early 2000’s and the financial crisis in 2008 have changed the financial scene. This in return, is making the study of the character traits embodied by individual investors just as interesting. As such, the aim of this dissertation is to find out whether there is a relationship between the Consumer Confidence Index, the CBOE Volatility Index and net mutual fund flows over a period of thirteen years. The period we are looking at ranges from the pre-crisis era in 2005 to the after- crisis era in 2017. Preliminary findings indicate there is an interesting asymmetric and impermanent relationship between the Consumer Confidence Index and the net mutual fund flows. In order to find out more about why these variables behave the way they do, this dissertation is going to divide the initial data sample into three sub-group periods which will allow for further analysis. This in turn allows to provide answers to the identified impermanent and asymmetric variations. In most cases, behaviors that can be traced back to behavioral biases, are able to explain the shifts experienced in both the mutual fund net flows and the Consumer Confidence Index. The links made between asymmetric and impermanent market moves that have drawn our attention also raise ethical questions that are discussed towards the end of this dissertation.

Mutual Funds, Fund Flows, Consumer Sentiment, Consumer Confidence, Volatility, VIX, Temporal Analysis, Behavioral Finance --- Sciences économiques & de gestion > Finance

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This book is a compilation of six papers that provide some valuable information about mapping and monitoring forest cover using remotely sensed imagery. Examples include mapping large areas of forest, evaluating forest change over time, combining remotely sensed imagery with ground inventory information, and mapping forest characteristics from very high spatial resolution data. Together, these results demonstrate effective techniques for effectively learning more about our very important forest resources.

Research & information: general --- unmanned aerial systems --- canopy height model --- individual tree crown --- segmentation --- forest cover map --- national forest inventory --- aerial images --- Sentinel-2 --- multisensory approach --- forest monitoring --- remote sensing --- forest sampling --- inventory efficiency --- Forest Inventory and Analysis --- forest change --- degradation --- regeneration --- geospatial-temporal analysis --- trend --- Juniperus --- above-ground biomass --- land-use --- allometric equation --- satellite remote sensing --- land cover classification --- NDVI --- vegetation --- Savitzky-Golay filtering --- spatial and temporal analysis --- Ruoergai area --- unmanned aerial systems --- canopy height model --- individual tree crown --- segmentation --- forest cover map --- national forest inventory --- aerial images --- Sentinel-2 --- multisensory approach --- forest monitoring --- remote sensing --- forest sampling --- inventory efficiency --- Forest Inventory and Analysis --- forest change --- degradation --- regeneration --- geospatial-temporal analysis --- trend --- Juniperus --- above-ground biomass --- land-use --- allometric equation --- satellite remote sensing --- land cover classification --- NDVI --- vegetation --- Savitzky-Golay filtering --- spatial and temporal analysis --- Ruoergai area

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Quantitative movement analysis is widely used in clinical practice and research to investigate movement disorders objectively and in a complete way. Conventionally, body segment kinematic and kinetic parameters are measured in gait laboratories using marker-based optoelectronic systems, force plates, and electromyographic systems. Although movement analyses are considered accurate, the availability of specific laboratories, high costs, and dependency on trained users sometimes limit its use in clinical practice. A variety of compact wearable sensors are available today and have allowed researchers and clinicians to pursue applications in which individuals are monitored in their homes and in community settings within different fields of study, such movement analysis. Wearable sensors may thus contribute to the implementation of quantitative movement analyses even during out-patient use to reduce evaluation times and to provide objective, quantifiable data on the patients’ capabilities, unobtrusively and continuously, for clinical purposes.

Research & information: general --- Biology, life sciences --- Biochemistry --- gait --- smoothness --- older adults --- accelerometer --- inertial measurement unit (IMU) --- upper extremity --- stroke --- biomechanical phenomena --- kinematics --- inertial measurement systems --- motion analysis --- wearable devices --- e-textile --- gait analysis --- m-health --- plantar pressure --- validation --- Internet of Things --- body sensor network --- inertial sensors --- ground reaction force --- spatio-temporal parameters --- wearable sensors --- decision trees --- foot drop stimulation --- symmetry --- inertial measurement sensor --- wearable inertial sensors --- marker-based optoelectronic system --- ACL --- rehabilitation --- motion capture validation --- upper limb --- Parkinson’s disease --- Box and Block test --- inertial sensors network --- biomechanics analysis --- kinematic data --- hand trajectories --- kinematic --- inertial measurement units --- angle-angle diagrams --- cyclograms --- obesity --- bradykinesia --- real-life --- naturalistic monitoring --- motor fluctuation --- wearable movement sensor --- IMU --- motion capture --- reliability --- clinical --- orthopedic --- sensory–motor gait disorders --- limb prosthesis --- spatial–temporal analysis --- symmetry index --- walking --- 6-min walking test --- wearable system --- inertial sensor --- RGB-D sensors --- optoelectronic system --- movement analysis --- hemiparesis --- n/a --- Parkinson's disease --- sensory-motor gait disorders --- spatial-temporal analysis

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This book brings together a total of six papers in an interdisciplinary way at the border of natural disasters and cultural heritage. There is a need for studying and documenting cultural heritage in Arctic landscapes, as these are the most affected by climate change. Remote sensing represents a powerful tool in the monitoring, management and safeguarding of cultural heritage. Sites included in the UNESCO World Heritage List should receive more attention from both geoscientists and social scientists. Urbanization has a short- and long-lasting effect on the conservation of cultural heritage.

Humanities --- Social interaction --- Social & cultural anthropology, ethnography --- cultural heritage --- frequency ratio --- AUC --- predictive modelling --- GIS --- Kvamme’s Gain --- north-eastern Romania --- coastal erosion --- shoreline --- monitoring --- geomorphological mapping --- Svalbard --- DSAS --- high Arctic --- muqarnas --- Alhambra --- graphic analysis --- drawings --- 3D laser scanner --- historical images --- UNESCO --- Spain --- erosion --- Beothuk --- GRASS --- photogrammetry --- UAV --- Newfoundland --- remote sensing --- Earth observation --- satellite imagery --- multi-temporal analysis --- urban heat island --- persistent scatterer interferometry --- long-term monitoring --- cultural heritage assessment --- Alba Iulia (Apulum) --- LiDAR --- satellite image --- aerial image --- High North --- cultural heritage --- frequency ratio --- AUC --- predictive modelling --- GIS --- Kvamme’s Gain --- north-eastern Romania --- coastal erosion --- shoreline --- monitoring --- geomorphological mapping --- Svalbard --- DSAS --- high Arctic --- muqarnas --- Alhambra --- graphic analysis --- drawings --- 3D laser scanner --- historical images --- UNESCO --- Spain --- erosion --- Beothuk --- GRASS --- photogrammetry --- UAV --- Newfoundland --- remote sensing --- Earth observation --- satellite imagery --- multi-temporal analysis --- urban heat island --- persistent scatterer interferometry --- long-term monitoring --- cultural heritage assessment --- Alba Iulia (Apulum) --- LiDAR --- satellite image --- aerial image --- High North

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This book brings together a total of six papers in an interdisciplinary way at the border of natural disasters and cultural heritage. There is a need for studying and documenting cultural heritage in Arctic landscapes, as these are the most affected by climate change. Remote sensing represents a powerful tool in the monitoring, management and safeguarding of cultural heritage. Sites included in the UNESCO World Heritage List should receive more attention from both geoscientists and social scientists. Urbanization has a short- and long-lasting effect on the conservation of cultural heritage.

cultural heritage --- frequency ratio --- AUC --- predictive modelling --- GIS --- Kvamme’s Gain --- north-eastern Romania --- coastal erosion --- shoreline --- monitoring --- geomorphological mapping --- Svalbard --- DSAS --- high Arctic --- muqarnas --- Alhambra --- graphic analysis --- drawings --- 3D laser scanner --- historical images --- UNESCO --- Spain --- erosion --- Beothuk --- GRASS --- photogrammetry --- UAV --- Newfoundland --- remote sensing --- Earth observation --- satellite imagery --- multi-temporal analysis --- urban heat island --- persistent scatterer interferometry --- long-term monitoring --- cultural heritage assessment --- Alba Iulia (Apulum) --- LiDAR --- satellite image --- aerial image --- High North