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Confidence levels and likelihood terms in IPCC reports : a survey of experts from different scientific disciplines

Scientific assessments, such as those by the Intergovernmental Panel on Climate Change (IPCC), inform policymakers and the public about the state of scientific evidence and related uncertainties. We studied how experts from different scientific disciplines who were authors of IPCC reports, interpret the uncertainty language recommended in the Guidance Note for Lead Authors of the IPCC Fifth AssessScientific assessments, such as those by the Intergovernmental Panel on Climate Change (IPCC), inform policymakers and the public about the state of scientific evidence and related uncertainties. We studied how experts from different scientific disciplines who were authors of IPCC reports, interpret the uncertainty language recommended in the Guidance Note for Lead Authors of the IPCC Fifth Assess

Embedding and Integrating a Digital Patient Management Platform Into Everyday Primary Care Routines: Qualitative Case Study

Background:Traditional primary care is characterized by patient consultations via phone and physical visits. However, the current development in Swedish primary care is to blend digital solutions with traditional solutions. This paper addresses this development by examining the normalization of embedding and integrating a digital health care platform into everyday care routines in a primary care c

Lipid sponge phase nanostructures as carriers for enzymes

Lipids are organic molecules vital for living organisms. They are part of cell membranes and provide an important energy reserve once they are digested by our body. They are most commonly known as fats and oils. Some important so-called polar lipids are amphiphilic molecules, which means they have a head group that is water ‘loving’ (hydrophilic) and a hydrocarbon tail is water ‘hating’ (hydrophobNonlamellar lipid liquid crystalline phases have many potential applications, such as for drug delivery, protein encapsulation or crystallization. Lipid liquid crystalline sponge phase (L3) has so far not been very much considered in these applications, in spite of apparent advantages in terms of its flexibility and capacity of forming large aqueous pores able to encapsulate large bioactive molecu

Medeltidshuset vid Stora Torg i Halmstad

Up until the mid 1960s you could still findsignificant remains of a medieval brick housein Halmstad. Since the building was rediscoveredin the 1920s, numerous speculationsabout the house and its owners have beenpresented. It has been linked to the Kalenteguild as well as to the guild of St. Gertrud.These hypotheses rest, however, on veryflimsy basis. Thus, this article examines awhole new hypothes

Initial technology assessment of aluminium as an energy carrier in shipping

This paper presents an initial technology assessment of the suitability of using aluminium as an energy carrier in shipping. The overall conclusion is that aluminium may become a suitable future energy carrier. Several advantages of using aluminium exist, including high theoretical energy densities, high resource availability, opportunity for circularity, and future potential for low lifecycle envThis paper presents an initial technology assessment of the suitability of using aluminium as an energy carrier in shipping. The overall conclusion is that aluminium may become a suitable future energy carrier. Several advantages of using aluminium exist, including high theoretical energy densities, high resource availability, opportunity for circularity, and future potential for low lifecycle env

Particle Detection in Bone Marrow Using CNNs and Transformer Networks

The critical role of hematological stem cells, concentrated in bone marrow, in disease diagnosis makes the detection of these cells an imperative task. The current process, however, is slow and heavily reliant on expert interpretation, underscoring the need for automation. In this thesis, we collected a 20x microscopy dataset of real and fake bone marrow particles and fine-tuned several CNNs and T

Stock Price Predictions for FAANG Companies Using Machine Learning Models

The financial industry is one of the highest grossing sectors in the world as it is estimated to represent 24\% of the global economy. As most companies want their asset value to increase, it is of high interest to make good investments which will increase in either the short or long run. The main aim of this thesis was to reveal the performance on predictions using two different machine-learning

Better Prior Knowledge Improves Human-Pose-Based Extrinsic Camera Calibration

Accurate extrinsic calibration of wide baseline multi-camera systems enables better understanding of 3D scenes for many applications and is of great practical importance. Classical Structure-from-Motion calibration methods require special calibration equipment so that accurate point correspondences can be detected between different views. In addition, an operator with some training is usually needAccurate extrinsic calibration of wide baseline multi-camera systems enables better understanding of 3D scenes for many applications and is of great practical importance. Classical Structure-from-Motion calibration methods require special calibration equipment so that accurate point correspondences can be detected between different views. In addition, an operator with some training is usually need