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Moisture- and mould-resistance : modelling of edge-sealed cross-laminated timber using multi-modal assessment leveraged by X-ray computed tomography

Edge-sealing, which involves treating the edges of wood products, improves water resistance. This study investigated the feasibility of edge-sealed cross-laminated timber (CLT) panels to reduce capillary water uptake, thereby resisting mould formation. The water and vapour permeabilities of ten characteristically different single-layer sealant coating systems were systematically determined. X-ray

More-than-climate temporalities of loss and damage in Australia

I contribute to an emerging politics of loss through an empirical analysis of temporalities of climate change loss and damage in Australia. How people temporalize climate change informs their conception of causality, designation of losses and damages, and political response. By drawing attention to the diversity of onto-epistemological understandings and characterizations of climate change loss an

Food insecurity experience during climate shock periods and farmers’ aspiration in Ethiopia

Research on climate change impact focuses on biophysical and economic dimensions. This paper seeks to unveil the association between smallholder farmers' food insecurity experience (FIE) during climate shock periods and their subsequent aspiration level. To this end, our analysis relied on data collected in rural Ethiopia following an unprecedented climate shock the country faced in 2016. We measu

The role of the electroencephalogram and evoked potentials after cardiac arrest

Purpose of review: In comatose cardiac arrest survivors, the electroencephalogram (EEG) is the most widely used test to assess the severity of hypoxic-ischemic brain injury (HIBI) and guide antiseizure treatment. However, a wide variety of EEG patterns are described in literature. Moreover, the value of postarrest seizure treatment is uncertain. Absent N20 waves of short-latency somatosensory-evok

A stochastic hierarchical model for low grade glioma evolution

A stochastic hierarchical model for the evolution of low grade gliomas is proposed. Starting with the description of cell motion using a piecewise diffusion Markov process (PDifMP) at the cellular level, we derive an equation for the density of the transition probability of this Markov process based on the generalised Fokker–Planck equation. Then, a macroscopic model is derived via parabolic limit

International Opinions on Grading of Urothelial Carcinoma : A Survey Among European Association of Urology and International Society of Urological Pathology Members

Background: Grade of non–muscle-invasive bladder cancer (NMIBC) is an important prognostic factor for progression. Currently, two World Health Organization (WHO) classification systems (WHO1973, categories: grade 1–3, and WHO2004 categories: papillary urothelial neoplasm of low malignant potential [PUNLMP], low-grade [LG], high-grade [HG] carcinoma) are used. Objective: To ask the European Associa

Heparin-binding protein as a marker of ventriculostomy related infection and central nervous system inflammation in neuro-intensive care

Objective: Diagnosis of ventriculostomy related infections (VRI) in the neuro-intensive care unit remains challenging and current biomarkers lack adequate precision. The aim of this study was to explore the potential of Heparin-binding protein (HBP) in cerebrospinal fluid (CSF) as a diagnostic biomarker of VRI. Methods: All patients treated with an external ventricular drain (EVD) between January

Community Assembly and Stability in the Root Microbiota During Early Plant Development

Little is known about how community composition in the plant microbiome is affected by events in the life of a plant. For example, when the plant is exposed to soil, microbial communities may be an important factor in root community assembly. We conducted two experiments asking whether the composition of the root microbiota in mature plants could be determined by either the timing of root exposure

Housing cooperatives and the contradictions of Finnish land and housing policies

This article explores some of the key institutional challenges hindering the development of a new ‘social’ housing cooperative model in Finland. In response to rising housing unaffordability and insecurity in the private housing sector, and a retrenching social housing sector, Finland is experiencing a resurgence of practical and political interest in housing cooperatives. Based on a document stud

Determinants of sexually transmitted infections among female sex workers in Ethiopia: a count regression model approach

Background: Sexually transmitted infections (STIs) remain a major public health problem worldwide, with the burden of these infections being high among female sex workers (FSWs), who are often not aware of their infection status. This study aimed to determine the factors that are associated with the number of STIs among FSWs in Ethiopia.Methods: A cross-sectional bio-behavioral study involving res

Spatial and temporal scales in rainfall analysis : Some aspects and future perspectives

Aspects of spatial and temporal rainfall variability and rainfall analysis in relation to some water management problems are surveyed and discussed. It is concluded that relevant modelling of hydrological processes in which the rainfall is a driving force is vital with respect to possibilities of finding solutions to increasing environmental problems following urbanization and industrialization. H

Review of Slow Sand Filtration for Raw Water Treatment with Potential Application in Less-Developed Countries

Providing safe drinking water to people in developing countries is an urgent worldwide water problem and a main issue in the UN Sustainable Development Goals. One of the most efficient and cheapest methods to attain these goals is to promote the use of slow sand filters. This review shows that slow sand filters can efficiently provide safe drinking water to people living in rural communities not s

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The transformation of rainfall into runoff is one of the most important processes in hydrology. In the past few decades, a wide variety of automated or computer-based approaches have been applied to model this process. However, many such approaches have an important limitation in that they treat the rainfall-runoff process as a realization of only a few parameters of linear relationships rather th

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Time-domain reflectometry (TDR) is an electromagnetic technique for measurements of water and solute transport in soils. The relationship between the TDR-measured dielectric constant (Ka) and bulk soil electrical conductivity ([sgrave]a) to water content (θW) and solute concentration is difficult to describe physically due to the complex dielectric response of wet soil. This has led to the develop

Nonlinear and scaling spatial properties of soil geochemical element contents

The present study aimed at investigating whether a nonlinear and scaling approach is suitable for statistically characterizing the spatial variability of soil geochemical element contents at field conditions. Spatial distributions of 20 soil geochemical elements' contents in an agricultural field soil were investigated. Two indicators of nonlinear scaling were employed, empirical probability distr

Characterization of extreme rainfall in an east asian monsoon-climate catchment in the upper reaches of the Huai River, China

A total of 200 heavy rainfall events with duration from 1 to 10 days were studied regarding maximum point depth, duration, areal extent, storm centre distribution, and seasonal distribution. The data base includes daily rainfall recordings from 78 stations in the Hongru River basin, an upper tributary to the Huai River, from 1955 to 1987. The 12 380 km2 large basin is situated on the outskirts of

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In developing countries, the use of mathematical models in hydrological forecasting is increasing, making for optimal planning and management of water resources systems. Such application, however, faces different problems. One of these problems is that computers may not be available. Even if they are available, computer time is expensive. Hence, there is a need for simple models which can be run o