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Denna avhandling utforskar den stratosfäriska aerosolen genom både in-situ mätningar och fjärranalys. Bakgrundsaerosolen är komplex och påverkas av injektioner av skogsbrandrökspartiklar och av partiklar skapade från vulkaniskt SO2. Klimatmodeller behöver träffsäkra beskrivningar av den stratosfäriska aerosolen för att ha rimliga strålningsbudgetar. Genom att använda fjärranalystekniken satellitbuThis thesis explores the stratospheric aerosol through both in-situ measurements and remote sensing. The background stratospheric aerosol is complex and is perturbed by injections of forest fire smoke particles and by particles formed from volcanic SO2. Climate models need accurate description of the stratospheric aerosol in order to have sound radiation budgets. Using the remote sensing technique

In this paper, we extend the generalized SPICE estimator to the multichannel case, illustrating the resulting performance gain for direction of arrival estimation. The resulting estimator is found to offer improved estimation performance and robustness to the presence of correlated sources.

Most of the drugs currently prescribed for cancer treatment are riddled with substantial side effects. In order to develop more effective and specific strategies to treat cancer, it is of importance to understand the biology of drug targets, particularly the newly emerging ones. A comprehensive evaluation of these targets will benefit drug development with increased likelihood for success in clini

We compare classic scalar temporal difference learning with three new distributional algorithms for playing the game of 5-in-a-row using deep neural networks: distributional temporal difference learning with constant learning rate, and two distributional temporal difference algorithms with adaptive learning rate. All these algorithms are applicable to any two-player deterministic zero sum game and

A public struggle in South Korea around prosecution reform brings into focus a deeper battle between forces seeking to make the state more responsive to ordinary people and those aiming to preserve the status quo. Opponents of prosecution reform turned to a mode of politics that appropriated the styles and symbols of democracy to justify the obstruction of reforms that would break down a key autho

We present a model for generating 3d articulated pedestrian locomotion in urban scenarios, with synthesis capabilities informed by the 3d scene semantics and geometry. We reformulate pedestrian trajectory forecasting as a structured reinforcement learning (RL) problem. This allows us to naturally combine prior knowledge on collision avoidance, 3d human motion capture and the motion of pedestrians

Over the last couple of years audio and radio sensors have become cheaper and more common in our everyday life. Such sensors can be used to form a network, from which one can obtain distance measures by correlating the different received signals. One example of such distance measures is time-difference of arrival measurements (TDoA), which can be used to estimate the positions of the senders and r

Surface-subsurface flow models for hydrological applications solve a coupled multiphysics problem. This usually consists of some form of the Richards and shallow water equations. A typical setup couples these two nonlinear partial differential equations in a partitioned approach via boundary conditions. Full interaction between the subsolvers is ensured by an iterative coupling procedure. This can

The aim of this three-year study is to further contribute to the understanding of how relations between Reality – Theoretical models – Mathematics are communicated in Swedish upper-secondary physics. A developed analytical framework (Hansson, Hansson, Juter, & Redfors, 2015; 2019) is used to focus the analysis of the classroom communication on relations made (by teachers and students) between

Here we study the role of negative shifts in public opinion in the economic lives of under-represented racial groups by investigating sudden changes in views towards Asian people following the anti-Chinese rhetoric that emerged with the COVID-19 pandemic, and associated changes in employment status and earnings in the US labour market. Using data from the Current Population Survey, we find that, u

An escalation of commitment refers to an individual’s decision to engage in greater risk-taking following prior losses than gains. This behavior was found to be preeminent in situations framed as portfolio decisions. However, there is lack of evidence regarding the underlying mechanism behind an individual’s decision to engage in later high (or low) risk-taking in a loss (or gain) domain. A model

Breast cancer has a profound affect on society. The survival for women in low- and middle-income countries (LMICs) is poor compared to in high-income countries (HICs). The lack of timely diagnosis is one of the main factors contributing to the poor outcomes for women in LMICs. Point-of-care ultrasound (POCUS) combined with a deep learning (DL) classification network could potentially be a suitable