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Dyes are routinely used in the textile and pharmaceutical industries, causing serious environmental issues by decreasing water quality. Photocatalysts are used for dye degradation, and different acting mechanisms may occur during the photodegradation process. In this study, Ni nanoparticles were heated to selected temperatures up to 500 °C under an ambient atmosphere and subsequently supported on
During the last decade the intersection between social welfare research and the ecological crisishas been gaining increasing interest through discussions about sustainable welfare and eco-social policies. Less attention has been paid, however, to eco-social risks and to how climatechange “will impact the nature and distribution of social risks across di!erent parts of thepopulation” (Hirvilammi et
Presentationen rör barn och ungas vardagliga geografier samt det sociala arbetets etablerade förhållningssätt till desamma. Särskilt fokus kommer riktas mot hur erfarenhetsnära tolkningar av barn och ungas egna berättelser om ”den vanliga vardagen” kan utvidga det sociala arbetets förståelse för barn och ungas geografier, och hur dessa tolkningar kan berika såväl forskning som praktik i socialt ar
Nowadays, Pt-CeO2 interfaces are very popular in many applications. In particular, this system is widely used in catalysis for the reverse water gas-shift (RWGS) reaction aiming to stop the dangerous advancement of the global warming effect. Nevertheless, some complex atomic events occurring at this interface are still unclear. In this work, superhydrophobic Pt-CeO2 nanoparticles were used in the
Freshwater ecosystems in boreal and temperate regions are undergoing rapid change as increasinginputs of terrestrially derived dissolved organic matter (DOM) and nutrient enrichment alter ecosystemfunctioning. These processes, known as brownification and eutrophication, vary across space and timebut can profoundly reshape carbon cycling, microbial activity, and water quality. This thesis investiga
A classic in the field of Medical Humanities, the late Philip Sandblom's study of art and ill health first appeared in English in 1982. This is a new, extended version, based on the definitive Swedish edition of 2022.In riveting analyses of the interplay between illness and art, music, and literature, Creativity and illness shows how various diseases and disabilities have affected the works of famA pioneering work in the field of Medical Humanities, first published as Creativity and disease in 1982, Creativity and illness now appears in a fresh, extended version based on the definitive Swedish edition published in 2022. A renowned surgeon, Philip Sandblom was also a connoisseur of the fine arts, and throughout his life he was fascinated by the interplay between art and health. Having start
Adaptive control is often used for friction compensation in trajectory tracking tasks because it does not require torque sensors. However, it has some drawbacks: first, the most common certainty-equivalence adaptive control design is based on linearized parameterization of the friction model, therefore nonlinear effects, including the stiction and Stribeck effect, are usually omitted. Second, the
The conversion of CO 2 into high-value chemicals through a photoreduction reaction in water is a promising route to reduce the dependence on fossil fuels. Enhancing selectivity toward hydrocarbons or alcohols can be achieved by Ag-Cu alloys. However, the stabilized surface state created by Ag-Cu interactions is still poorly understood. In this work, multi-modal in situ X-ray experiments reveals un
Parallel-elastic joints can improve the efficiency and strength of robots by assisting the actuators with additional torques. For these benefits to be realized, a spring needs to be carefully designed. However, designing robots is an iterative and tedious process, often relying on intuition and heuristics. We introduce a design optimization framework that allows us to co-optimize a parallel elasti
Estimating collision probabilities between robots and environmental obstacles or other moving agents is crucial to ensure safety during path planning. This is an important building block of modern planning algorithms in many application scenarios such as autonomous driving, where noisy sensors perceive obstacles. While many approaches exist, they either provide too conservative estimates of the co
The advent of tactile sensors in robotics has sparked many ideas on how robots can leverage direct contact measurements of their environment interactions to improve manipulation tasks. An important line of research in this regard is grasp force control, which aims to manipulate objects safely by limiting the amount of force exerted on the object. While prior works have either hand-modeled their fo
Response determinants to immunotherapy in metastatic pancreatic ductal adenocarcinoma (mPDAC) remain unclear, limiting treatment advancements. We report a single-arm phase 1b/2 study (OPTIMIZE-1) evaluating the safety and efficacy of the cluster of differentiation 40 (CD40) agonist mitazalimab combined with modified FOLFIRINOX (mFOLFIRINOX), in chemotherapy-naive patients with mPDAC. Patients rece
Safety is one of the key issues preventing the deployment of reinforcement learning techniques in real-world robots. While most approaches in the Safe Reinforcement Learning area do not require prior knowledge of constraints and robot kinematics and rely solely on data, it is often difficult to deploy them in complex real-world settings. Instead, model-based approaches that incorporate prior knowl
The construction sector contributes around 37 % of global CO2 emissions, highlighting the need for de-carbonization. Part of the emissions originate in the use of diesel-driven heavy equipment. Considering the fast pace of transitioning from fossil fuels to electricity in other vehicle sectors, this may be a possible path for heavy equipment, considering the introduction of electric heavy equipmen
Stateful policies play an important role in reinforcement learning, such as handling partially observable environments, enhancing robustness, or imposing an inductive bias directly into the policy structure. The conventional method for training stateful policies is Backpropagation Through Time (BPTT), which comes with significant drawbacks, such as slow training due to sequential gradient propagat
Safety is a fundamental property for the real-world deployment of robotic platforms. Any control policy should avoid dangerous actions that could harm the environment, humans, or the robot itself. In reinforcement learning (RL), safety is crucial when exploring a new environment to learn a new skill. This paper introduces a new formulation of safe exploration for robotic RL in the tangent space of
Deep Reinforcement Learning techniques are achieving state-of-the-art results in robust legged locomotion. While there exists a wide variety of legged platforms such as quadruped, humanoids, and hexapods, the field is still missing a single learning framework that can control all these different embodiments easily and effectively and possibly transfer, zero or few-shot, to unseen robot embodiments
Background: Ageing-in-place policies have increasingly shifted elder care responsibilities onto family members. Among older cohabiting couples, one’s partner’s illness significantly impacts the other’s daily life and well-being.Aim: To explore the responsibilities and strategies of caregiving partners in older cohabiting couples from the perspectives of cohabiting caregivers.Methods: A qualitative
Carbon-14 (14C) is an important contributor to the collective effective dose to the public due to releases from nuclear power plants (NPPs). In Sweden, only airborne emissions of 14C from NPPs are currently routinely monitored, and the existing data on waterborne 14C discharges are limited. A recent study of 14C in brown algae (Fucus spp.) in Swedish coastal waters showed higher F14C values collec
