Metsä- ja maatalouden sivutuotteet lihamullien rehuna

vokKirjasto Aj-

The baby box : Enhancing the wellbeing of babies and mothers around the world

The baby box is a Finnish social innovation that has captivated interest around the globe. This book highlights the journey of the baby box in over 60 countries, offering a comprehensive overview of the Finnish baby box and its many international adaptations. The story of the baby box begins in post-war Finland, where it evolved from a community-based resource to a nationally-funded and internationally recognized social benefit. The global mapping of the baby box presented in this book expands on this history by exploring the influence of the baby box concept internationally, from refugee camps and high-income countries to remote islands and prisons. Written by an international, multi-disciplinary team of researchers, this book explores the baby box concept from various angles. The diverse and expansive nature of this study makes it an excellent resource for parents, researchers, and anyone generally interested in the baby box concept. Also showcased are the many creative solutions that baby box programme organisers have devised to address context-specific challenges, making it additionally useful as a handbook for policy-makers or professionals developing their own programme.The baby box is a social innovation: a maternity package with baby clothes and other items for expectant mothers to promote the wellbeing of baby and family. In Finland, the baby box (officially called the maternity package) has been a universal benefit since 1949 and is given to all expectant mothers provided they attend antenatal care (ANC). The baby box is still considered to be a valuable social benefit in Finland today, with 95% of first-time mothers choosing the box instead of a cash grant. Although it is known that the baby box concept has been adapted across the world, there is little information available about how these adaptations have been made and for what purpose the boxes are given out. In order to map these programmes, we conducted a research project on baby boxes globally. Based on our findings, this report introduces the baby box concept, its various adaptations, and its possible uses to improve maternal and child health and wellbeing globally. The contents of this report are based on a mapping of 91 baby box programmes and an in-depth study of 29 programmes across different world regions in high-, middle- and low-income countries. These programmes were initiated by governmental bodies, non-profit organisations, United Nations (UN) agencies, hospitals, and academic institutions. Although we use the term baby “box” throughout the report, many programmes used a different container, such as a basket or bag, to package the items. The programmes ranged in scale from small to nationwide and targeted various groups, from specific vulnerable communities to all pregnant women in a country. Programmes set various goals, including reducing infant or maternal mortality, promoting the wellbeing of babies and mothers, easing financial and parenting burden, encouraging the uptake of health and community support services, and strengthening communities and reducing inequalities. They intended to achieve their goals through the practical support provided by the box and items, as well as the conditions attached to claiming the box (e.g. attendance at services) and additional education (e.g. booklets or arranged groups) included in the programme. The impact of the baby box is of timely concern, as governments are increasingly interested in the concept. However, it is difficult to provide an unequivocal answer to the question of whether the baby box “works,” as this depends on the desired outcomes of the programme. In addition, due to resource constraints, few programmes measure the impact of their intervention systematically. In response to this question and these restraints, we outline the potential current contributions of the baby box to the wellbeing of mothers and babies and provide a commentary on its possible future impact. For example, there is emerging evidence globally that baby box programmes can increase the rates of attending ANC or giving birth at a health facility, which may save lives in contexts where these rates are traditionally low. Baby box programmes may also provide psychosocial support for the mother during the vulnerable time of childbirth. Beyond their potential to support families in their everyday lives, baby box programmes may also be valuable in contexts where families have been forced to flee their homes, such as natural disasters or refugee camps. In addition to our findings, we also discuss high-interest topics surrounding the baby box, including safety issues. Ultimately, we intend for our report to serve as an overview of baby box programmes and a foundation for further research, as well as a reference for those interested in the topic or aiming to implement or evaluate a baby box programme themselves. The baby box is not a one-size-fits-all solution to intricate health challenges. However, it offers significant health and social gains, especially for those who are commonly the most vulnerable in communities: mothers and babies.31,00 euroanonPeerReviewedVertaisarvioimato

Age-related changes in global motion coherence: conflicting haemodynamic and perceptual responses

Our aim was to use both behavioural and neuroimaging data to identify indicators of perceptual decline in motion processing. We employed a global motion coherence task and functional Near Infrared Spectroscopy (fNIRS). Healthy adults (n = 72, 18-85) were recruited into the following groups: young (n = 28, mean age = 28), middle-aged (n = 22, mean age = 50), and older adults (n = 23, mean age = 70). Participants were assessed on their motion coherence thresholds at 3 different speeds using a psychophysical design. As expected, we report age group differences in motion processing as demonstrated by higher motion coherence thresholds in older adults. Crucially, we add correlational data showing that global motion perception declines linearly as a function of age. The associated fNIRS recordings provide a clear physiological correlate of global motion perception. The crux of this study lies in the robust linear correlation between age and haemodynamic response for both measures of oxygenation. We hypothesise that there is an increase in neural recruitment, necessitating an increase in metabolic need and blood flow, which presents as a higher oxygenated haemoglobin response. We report age-related changes in motion perception with poorer behavioural performance (high motion coherence thresholds) associated with an increased haemodynamic response

Structure from motion photogrammetry in forestry : a review

AbstractPurpose of ReviewThe adoption of Structure from Motion photogrammetry (SfM) is transforming the acquisition of three-dimensional (3D) remote sensing (RS) data in forestry. SfM photogrammetry enables surveys with little cost and technical expertise. We present the theoretical principles and practical considerations of this technology and show opportunities that SfM photogrammetry offers for forest practitioners and researchers.Recent FindingsOur examples of key research indicate the successful application of SfM photogrammetry in forestry, in an operational context and in research, delivering results that are comparable to LiDAR surveys. Reviewed studies have identified possibilities for the extraction of biophysical forest parameters from airborne and terrestrial SfM point clouds and derived 2D data in area-based approaches (ABA) and individual tree approaches. Additionally, increases in the spatial and spectral resolution of sensors available for SfM photogrammetry enable forest health assessment and monitoring. The presented research reveals that coherent 3D data and spectral information, as provided by the SfM workflow, promote opportunities to derive both structural and physiological attributes at the individual tree crown (ITC) as well as stand levels.SummaryWe highlight the potential of using unmanned aerial vehicles (UAVs) and consumer-grade cameras for terrestrial SfM-based surveys in forestry. Offering several spatial products from a single sensor, the SfM workflow enables foresters to collect their own fit-for-purpose RS data. With the broad availability of non-expert SfM software, we provide important practical considerations for the collection of quality input image data to enable successful photogrammetric surveys

Remote detection of invasive alien species

The spread of invasive alien species (IAS) is recognized as the most severe threat to biodiversity outside of climate change and anthropogenic habitat destruction. IAS negatively impact ecosystems, local economies, and residents. They are especially problematic because once established, they give rise to positive feedbacks, increasing the likelihood of further invasions and spread. The integration of remote sensing (RS) to the study of invasion, in addition to contributing to our understanding of invasion processes and impacts to biodiversity, has enabled managers to monitor invasions and predict the spread of IAS, thus supporting biodiversity conservation and management action. This chapter focuses on RS capabilities to detect and monitor invasive plant species across terrestrial, riparian, aquatic, and human-modified ecosystems. All of these environments have unique species assemblages and their own optimal methodology for effective detection and mapping, which we discuss in detail

Radiometric correction of multitemporal hyperspectral uas image mosaics of seedling stands

cited By 0; Conference of 2017 Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions ; Conference Date: 25 October 2017 Through 27 October 2017; Conference Code:131286Novel miniaturized multi- and hyperspectral imaging sensors on board of unmanned aerial vehicles have recently shown great potential in various environmental monitoring and measuring tasks such as precision agriculture and forest management. These systems can be used to collect dense 3D point clouds and spectral information over small areas such as single forest stands or sample plots. Accurate radiometric processing and atmospheric correction is required when data sets from different dates and sensors, collected in varying illumination conditions, are combined. Performance of novel radiometric block adjustment method, developed at Finnish Geospatial Research Institute, is evaluated with multitemporal hyperspectral data set of seedling stands collected during spring and summer 2016. Illumination conditions during campaigns varied from bright to overcast. We use two different methods to produce homogenous image mosaics and hyperspectral point clouds: image-wise relative correction and image-wise relative correction with BRDF. Radiometric datasets are converted to reflectance using reference panels and changes in reflectance spectra is analysed. Tested methods improved image mosaic homogeneity by 5% to 25%. Results show that the evaluated method can produce consistent reflectance mosaics and reflectance spectra shape between different areas and dates. © Authors 2017.Novel miniaturized multi- and hyperspectral imaging sensors on board of unmanned aerial vehicles have recently shown great potential in various environmental monitoring and measuring tasks such as precision agriculture and forest management. These systems can be used to collect dense 3D point clouds and spectral information over small areas such as single forest stands or sample plots. Accurate radiometric processing and atmospheric correction is required when data sets from different dates and sensors, collected in varying illumination conditions, are combined. Performance of novel radiometric block adjustment method, developed at Finnish Geospatial Research Institute, is evaluated with multitemporal hyperspectral data set of seedling stands collected during spring and summer 2016. Illumination conditions during campaigns varied from bright to overcast. We use two different methods to produce homogenous image mosaics and hyperspectral point clouds: image-wise relative correction and image-wise relative correction with BRDF. Radiometric datasets are converted to reflectance using reference panels and changes in reflectance spectra is analysed. Tested methods improved image mosaic homogeneity by 5% to 25%. Results show that the evaluated method can produce consistent reflectance mosaics and reflectance spectra shape between different areas and dates. © Authors 2017.Peer reviewe

Spontaneous hemodynamic oscillations during human sleep and sleep stage transitions characterized with near-infrared spectroscopy. PLoS ONE 6: e25415

Abstract Understanding the interaction between the nervous system and cerebral vasculature is fundamental to forming a complete picture of the neurophysiology of sleep and its role in maintaining physiological homeostasis. However, the intrinsic hemodynamics of slow-wave sleep (SWS) are still poorly known. We carried out 30 all-night sleep measurements with combined near-infrared spectroscopy (NIRS) and polysomnography to investigate spontaneous hemodynamic behavior in SWS compared to light (LS) and rapid-eye-movement sleep (REM). In particular, we concentrated on slow oscillations (3-150 mHz) in oxy-and deoxyhemoglobin concentrations, heart rate, arterial oxygen saturation, and the pulsation amplitude of the photoplethysmographic signal. We also analyzed the behavior of these variables during sleep stage transitions. The results indicate that slow spontaneous cortical and systemic hemodynamic activity is reduced in SWS compared to LS, REM, and wakefulness. This behavior may be explained by neuronal synchronization observed in electrophysiological studies of SWS and a reduction in autonomic nervous system activity. Also, sleep stage transitions are asymmetric, so that the SWS-to-LS and LS-to-REM transitions, which are associated with an increase in the complexity of cortical electrophysiological activity, are characterized by more dramatic hemodynamic changes than the opposite transitions. Thus, it appears that while the onset of SWS and termination of REM occur only as gradual processes over time, the termination of SWS and onset of REM may be triggered more abruptly by a particular physiological event or condition. The results suggest that scalp hemodynamic changes should be considered alongside cortical hemodynamic changes in NIRS sleep studies to assess the interaction between the autonomic and central nervous systems

Geometric processing workflow for vertical and oblique hyperspectral frame images collected using UAV

Remote sensing based on unmanned airborne vehicles (UAVs) is a rapidly developing field of technology. UAVs enable accurate, flexible, low-cost and multiangular measurements of 3D geometric, radiometric, and temporal properties of land and vegetation using various sensors. In this paper we present a geometric processing chain for multiangular measurement system that is designed for measuring object directional reflectance characteristics in a wavelength range of 400–900 nm. The technique is based on a novel, lightweight spectral camera designed for UAV use. The multiangular measurement is conducted by collecting vertical and oblique area-format spectral images. End products of the geometric processing are image exterior orientations, 3D point clouds and digital surface models (DSM). This data is needed for the radiometric processing chain that produces reflectance image mosaics and multiangular bidirectional reflectance factor (BRF) observations. The geometric processing workflow consists of the following three steps: (1) determining approximate image orientations using Visual Structure from Motion (VisualSFM) software, (2) calculating improved orientations and sensor calibration using a method based on self-calibrating bundle block adjustment (standard photogrammetric software) (this step is optional), and finally (3) creating dense 3D point clouds and DSMs using Photogrammetric Surface Reconstruction from Imagery (SURE) software that is based on semi-global-matching algorithm and it is capable of providing a point density corresponding to the pixel size of the image. We have tested the geometric processing workflow over various targets, including test fields, agricultural fields, lakes and complex 3D structures like forests