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In this concluding chapter, we draw together the threads of the different assessments carried out by the contributors and propose directions for future research. After a brief overview of the content of the chapters, we revisit and complicate the initial taxonomy we offered, attempting to suggest instead a more abstract classification that could serve as a basis for future assessments. Moreover, w
BackgroundSymptom severity cutoffs for body dysmorphic disorder (BDD) are lacking, hindering communication between professionals and with the patient community.MethodWe pooled data from 11 clinical trials or high-quality cohort studies from specialist clinics, totaling 804 individuals with BDD (80 % girls/women, 67 % adults). All participants had baseline scores on the adult or adolescent versions
The diagnostic potential of femtosecond (fs) rotational coherent Raman scattering (RCRS) in the time domain is initially investigated. While RCRS concepts in the spectral domain obtain species selectivity and temperature sensitivity by resolving the spectral shape, mainly reflecting the Boltzmann-distributed, rotational populations of the Raman-active molecules present, the current time-domain fs-
Serial dependence (SD) occurs when current perceptions are biased towards sensory input from the recent past. The present study investigated whether interindividual differences in working memory (WM) could predict SD in facial identity perception. Electroencephalography (EEG) was used to capture early perceptual face processing (N170) and WM processing (frontal negative slow waves) in a combined W
The involvement of the extracellular matrix (ECM) in tumor progression has motivated the development of biomaterials mimicking the tumor ECM to develop more predictive cancer models. Particularly, polypeptides based on elastin could be an interesting approach to mimic the ECM due to their tunable properties. Here, we demonstrated that elastin-like recombinamer (ELR) hydrogels can be suitable bioma
Autonomous robots must operate reliably and safely under uncertain, dynamic conditions over extended periods. To ensure such operational robustness, it is vital that both developers and operators can clearly and verifiably specify functional requirements and safety constraints throughout the robot software lifecycle. My research targets different layers of robot operational safety: early error det
Objectives: To evaluate whether long-term magnetic resonance imaging (MRI) findings, alone or in combination with prostate-specific antigen (PSA) density or the result of prior surveillance biopsies, could be used to omit biopsies occurring after patients have been on active surveillance (AS) for ≥5 years. Patients and Methods: Analysis of a single-institution AS cohort of patients with Grade Grou
Mesosiderites are rare, differentiated meteorites, so-called stony-iron meteorites—they are impact breccias composed of an unusual mix of crustal basalt and pyroxenite, core-derived metal, but no mantle materials. This odd mixture makes their origin enigmatic and has inspired many different formation theories over the last several decades. Some of the outstanding questions have regarded the origin
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
Deoxyribonucleic acid or DNA is one of the most fundamental molecules of life as it encodes the basic structure of every living entity, including us. Not only is DNA responsible for precisely describing every single aspect that makes us, it also directly affects the world around us. Indeed, unlocking the genetic code embedded in DNA already enabled us to create new diagnostics that allow us to det
We are on a hunt for the invisible in this second episode of the third season of The Meridian. Ruth Pöttgen is a senior lecturer at the Department of Physics where she is studying fundamental particles. She is especially interested in finding that mysterious and elusive Dark Matter particle.In this third season we are also including some Cosmic Curiosities. These are some ideas, events or trivia
Straffrätten växer. De senaste decennierna visar en tydlig trend med mer kriminalisering och hårdare straff - fler personer straffas och med mer ingripande påföljder. Denna repressiva kriminalpolitik motiveras av att brottsligheten ökar, eller att den åtminstone har blivit allvarligare och utgör ett större hot mot tryggheten i samhället. Är fler och hårdare straff verkligen ett effektivt sätt att
Parametric design systems serve as powerful assistive technologies in the design process by aiding the generation of a vast number of design alternatives. However, with their focus on low-level engineering and structural form, parametric systems do not automatically fulfil cognitively founded people-centred behavioural design criteria. We propose a precedent-based design approach for parametric sy
Recent methods for imitation learning directly learn a Q-function using an implicit reward formulation rather than an explicit reward function.However, these methods generally require implicit reward regularization to improve stability and often mistreat absorbing states.Previous works show that a squared norm regularization on the implicit reward function is effective, but do not provide a theore
Autonomous robots should operate in real-world dynamic environments and collaborate with humans in tight spaces. A key component for allowing robots to leave structured lab and manufacturing settings is their ability to evaluate online and real-time collisions with the world around them. Distance-based constraints are fundamental for enabling robots to plan their actions and act safely, protecting
Reinforcement learning methods for robotics are increasingly successful due to the constant development of better policy gradient techniques. A precise (low variance) and accurate (low bias) gradient estimator is crucial to face increasingly complex tasks. Traditional policy gradient algorithms use the likelihood-ratio trick, which is known to produce unbiased but high variance estimates. More mod
