We present new coarse resolution (0.5° × 0.5°) vegetation height and vegetation-cover fraction data sets between 60° S and 60° N for use in climate models and ecological models. The data sets are derived from 2003–2009 measurements collected by the Geoscience Laser Altimeter System (GLAS) on the Ice, Cloud and land Elevation Satellite (ICESat), the only LiDAR instrument that provides close to glob

In the design of bridges, thermal loads are important to take into account since they can cause cracking if the structure or structural part is restrained from changing its size. Accurate thermal load values must therefore be used in bridge design, based on knowledge of the actual temperature distribution in the bridge. This paper presents the validation of a model for temperature simulation, to b

Objectives: We investigated the potential associations between cerebrospinal fluid (CSF) levels of total tau (T-tau) and phosphorylated tau (P-tau), short-term response to cholinesterase inhibitor (ChEI) treatment, longitudinal outcome and progression rates in Alzheimer’s disease (AD).Methods: The Swedish Alzheimer Treatment Study (SATS) is a prospective, observational, multicentre study to assess

Background: Few studies have focused on predictors of survival in patients with early-onset Alzheimer’s disease (EOAD) compared with late-onset Alzheimer’s disease (LOAD). We aimed to investigate the effect of genetic, sociodemographic, and clinical factors on mortality in the two groups.Methods: The Swedish Alzheimer Treatment Study (SATS) is a prospective, observational, multicenter study for lo

This study examines the interdependence between R&D resources, coopetitive performance and extent of cooperation in development- related standardization settings that involve network effects. Coopetitive performance is measured as the firm’s influence on the change process of standards. Cooperation is measured as the number of firm technology partners in influencing industry technology standar

Understanding and measuring security of softwarein terms of vulnerability metrics is important when reviewingand deciding between softwares. The large number of disclosedvulnerabilities will continue to expose software intensivesystems and products to attacks, and the choice of thirdparty software will affect stability and reliability of productsincorporating this software. We collect CVE data fro

On 19 September 2016, the UNGA adopted the New York Declaration for Refugees and Migrants through which States committed to developing two compacts: one on refugees and one on safe, orderly and regular migration. The Zero Drafts of the compacts were published on 31 January 2018 and 5 February 2018, respectively. The move towards the discussion and adoption of the global compacts comes in part in r

This paper’s main aim is to review and compare sustainability frameworks and models aiming to propose an overarching strategic planning process for selection of sustainable production (SP) indicators within the manufacturing sector, which point toward radical, systematic and goal-oriented changes. The Framework for Strategic Sustainable Development is selected as a conceptual model to guide strate

A price can be set in different ways for a manufactured component, most commonly based on estimated manufacturing costs, market intelligence, and market adopted pricing or customer value. Pricing is one of the key factors when selecting subcontractors in the manufacturing sector. As a subcontractor, there are certain risks connected with pricing of a product, too low pricing leads to losses, where

We created a system to simulate the heart allocation process in a transplant queue, using a discrete event model and a neural network algorithm, which we named the Lund Deep Learning Transplant Algorithm (LuDeLTA). LuDeLTA is utilized to predict the survival of the patients both in the queue and after transplant. We tried four different allocation policies: wait time, clinical rules and allocating

The human brain can be seen as an ensemble of interconnected neurons, more or less specialized to solve different cognitive and motor tasks. In computer science, the term deep learning is often applied to signify sets of interconnected nodes, where deep means that they have several computational layers. Development of deep learning is essentially a quest to mimic how the human brain, at least part

Experiences from both academia and practice demonstrate that the legal instruments that comprise the primary tool for carrying out city planning in the U.S. have grown increasingly complex and abstract. Processing the universal rather than the specific aspects of urbanism, these zoning codes have a limited capacity to adapt to local significance and site-specific characteristics, to which architec

Genom att undersöka vad som händer i två kvinnodominerade yrken, lärarens och socialarbetarens, tar den här boken läsaren lite närmare en förståelse av dagens offentliga sektor som en arbetsplats. Vad ligger bakom de höga sjuktalen för anställda i offentliga sektor, och varför är det så att vissa kvinnodominerade yrken inom offentlig sektor förlorar sina anställda och har svårt att hitta ersättare

Många processer i naturen går inte att förklara utan att gå ner på den molekylära skalan och studera enstaka laddningar som elektroner.Till exempel är laddningars rörelse i molekyler en viktig aspekt i fenomen som blixtar och norrsken. Ofta kan dessa processer bara uppstår när sammansättningen av atomer eller molekyler är på ett specifikt sätt; på samma vis som två hjul och en ram behöver sitta ihThe origin of properties in complex systems can often be traced to mechanisms involving charge and energy transfer in only a few embedded molecules. The detailed study of the time evolution of these mechanisms in their original environment is a challenging task. In this thesis we develop experimental tools and methods to enable the study of charge and energy transfer. A new ion and electron moment

Advances in software virtualization and network processing lead to increasing network softwarization. Software network elements running on commodity platforms replace or complement hardware components in cloud and mobile network infrastructure. However, such commodity platforms have a large attack surface and often lack granular control and tight integration of the underlying hardware and software

With the increased frequency of human 7T scanners, there is also a drive towards the implementation advanced MR sequences, such a myelin water imaging, at high fields. Here, we demonstrate the feasibility of translating 3T myelin acquisitions scheme, GRASE, to 7T. We studied the distribution of T values at 7T and determined that myelin water has a T