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Estimating Grazing Potentials in Sudan Using Daily Carbon Allocation in Dynamic Vegetation Model

Livestock production is important for local food security and as a source of income in sub-Saharan Africa. The human population of the region is expected to double by 2050, and at the same time climate change is predicted to negatively affect grazing resources vital to livestock. Therefore, it is essential to model the potential grazing output of sub-Saharan Africa in both present and future clima

Association between genetic risk variants and glucose intolerance during pregnancy in north Indian women

Background Gestational diabetes (GDM) is a more common problem in India than in many other parts of the world but it is not known whether this is due to unique environmental factors or a unique genetic background. To address this question we examined whether the same genetic variants associated with GDM and Type 2 Diabetes (T2D) in Caucasians also were associated with GDM in North Indian women. M

Large-Scale Land Acquisitions as a Driver of Socio-Environmental Change : From the Pixel to the Globe

En av de största utmaningarna i modern tid är att på ett hållbart sätt producera mat och andra varor för en ökande global befolkning, utan att utsätta mark- och vattenresurser för ytterligare belastning och därmed ha negativ inverkan på människors livskvalitet. Storskaligt jordbruk har genererat många fördelar för människan gällande matproduktion, men har även bidragit till många hållbarhetsutmaniA major challenge of our time is to sustainably produce food and other goods for a growing global population, without putting additional pressures on land and water resources and local people’s quality of life. Large-scale agriculture has brought many benefits to humanity in terms of food production but has also caused multiple sustainability challenges, including land and water degradation, defor

Vegetation height and cover fraction between 60A degrees S and 60A degrees N from ICESat GLAS data

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

Validation of Temperature Simulations in a Portal Frame Bridge

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

Cerebrospinal fluid biomarker levels: Total tau and phosphorylated tau as markers for rate of progression in Alzheimer’s disease.

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

Predictors of mortality in early- versus late-onset Alzheimer’s disease – an 18-year follow-up.

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

3rd Generation Partnership Project: Coopetition in a Developmental Standardisation Setting

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

Evaluating Security of Software Through Vulnerability Metrics

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

The Human Rights of Smuggled Migrants and Trafficked Persons in the Un Global Compacts on Migrants and Refugees

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

Towards guidelines for selection of production performance indicators to measure sustainability performance

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

Cost-based pricing for learning organizations – a model presentation and demonstration

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

Simulating the Outcome of Heart Allocation Policies Using Deep Neural Networks

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

Deep Learning Applications for Biomedical Data and Natural Language Processing

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