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Detailed longitudinal dynamics simulations may be used to predict the energy performance of road vehicles. However, including uncertainty in the operating conditions often implies high computational costs. Model-based formulations, in conjunction with statistical methods, may obviate this limitation by directly accounting for stochasticity, thus eliminating the need for simulating large population
Implementing FEFO practices has become essential for organizations globally to minimize spoilage, enhance inventory turnover, and ensure compliance with health and safety standards. To aid stakeholders in effectively adopting FEFO, it is crucial to identify and address the challenges involved in its implementation. Through an extensive literature review using the Preferred Reporting Items for Syst
According to the literature, transaction costs are influenced by several factors, ranging from institutional differences to asymmetric information. However, testing these hypotheses requires rich data not usually available in historical sources. In this study, we use a large-scale census of 1749 to analyze price gaps of wheat across rural municipalities and their local markets in Old Castile. For
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Periodic splines represent a specific category of splines, defined across a series of knots on a circle, making them particularly suitable for addressing interpolation challenges associated with closed curves and representing functions defined on a circle. Although the term ‘periodic’ suggests temporal context, the periodic splines can represent any data that have a circle as their domain. This pa
This thesis investigates the application of microscopic traffic data derived from video recordings to analyse the behaviour of road users, specifically focusing on pedestrians and cyclists in urban traffic environments. This research addresses the critical need for more accurate and proactive methods in the fields of traffic safety, transport system operational performance, and level of service as
INTRODUCTION: The Alzheimer's Association and the Society of Nuclear Medicine and Molecular Imaging convened a multidisciplinary workgroup to update appropriate use criteria (AUC) for amyloid positron emission tomography (PET) and to develop AUC for tau PET. METHODS: The workgroup identified key research questions that guided a systematic literature review on clinical amyloid/tau PET. Building on
Following centuries of deforestation, many industrialized countries have experienced an increase in forest area and biomass due to changes in land- and forest-use since the mid-20th century. At the same time, the impacts of climate change on forests are aggravating, but the interplay between past land- and forest-use (i.e. land- and forest-use legacies) and climate change in tree growth remains el
Aim: Climate change is driving increasingly frequent and intense extreme climatic events, pushing many forests worldwide beyond their physiological thresholds. Despite the major role played by forests in the global carbon cycle, climate change threatens the future potential for carbon sequestration in forests. Hence, studies of recent changes in stand productivity and the underlying drivers over l
Climate and forest structure are considered major drivers of forest demography and productivity. However, recent evidence suggests that the relationships between climate and tree growth are generally non-stationary (i.e. non-time stable), and it remains uncertain whether the relationships between climate, forest structure, demography and productivity are stationary or are being altered by recent c
In recent decades there has been an increasing demand in environmental sciences for harmonized climatic data at large spatial scales and long periods. Here we present easyclimate, a software package to obtain daily climatic data at high resolution (0.0083°, ∼1 km) with R. The package facilitates the downloading and processing of precipitation, minimum and maximum temperatures for Europe from 1950
PlotToSat is a tool that uses the Python API of Google Earth Engine (GEE) to solve the problem of creating time-series of Earth Observation (EO) data at multiple plot locations spread out within a landscape. The current version supports Sentinel-1 and Sentinel-2. It is a flexible framework though that allows easy addition of EO datasets. Using PlotToSat, we generated a Normalised Difference Vegeta
Forest structure is a key driver of forest functional processes. The characterization of forest structure across spatiotemporal scales is essential for forest monitoring and management. LiDAR data have proven particularly useful for cost-effectively estimating forest structural attributes. This paper evaluates the ability of combined forest inventory data and low-density discrete return airborne L
Context: Global change is leading to more frequent and intense tree damage and mortality events. Drought-induced tree mortality is occurring worldwide leading to broad-scale events, but the spatial patterns of tree damage and mortality, their underlying drivers and their variation over time is largely unknown. Objectives: We investigated the spatial patterns of tree damage and mortality across Med
PlotToSat offers a practical and time efficient way to the challenge of extracting time-series from multiple Earth Observation (EO) datasets at numerous plots spread across a landscape. This opens up new opportunities to understand and model various ecosystems. Regarding forest ecology, plot networks play a vital role in monitoring and understanding the dynamics of forest ecosystems. These network
