Search results

Ambient pressure X-ray photoelectron spectroscopy (APXPS) is combined with simultaneous electrical measurements and supported by density functional theory calculations to investigate the sensing mechanism of tungsten disulfide (WS2)-based gas sensors in an operando dynamic experiment. This approach allows for the direct correlation between changes in the surface potential and the resistivity of th

INTRODUCTION: Recent clinical trials of amyloid beta (Aβ)-targeting therapies in Alzheimer's disease (AD) have demonstrated a clinical benefit over 18 months, but their long-term impact on disease trajectory is not yet understood. We propose a framework for evaluating realistic long-term scenarios. METHODS: Results from recent phase 3 trials of Aβ-targeting antibodies were integrated with an estim

The AI Act’s (AIA) requirements for high-risk AI systems affect many aspects of modern software systems. Knowing which AIA-related technical challenges are relevant to different companies is essential to focus compliance-oriented research on the aspects that matter. We therefore conducted an interview study in collaboration with a case company that specializes in network video solutions within the

IntroductionPatients with congenital heart disease (ConHD) are at increased risk for adverse cardiac events. Predicting long-term outcomes and guidance of patient management might benefit from a range of (new) biomarkers. This is a rapidly evolving field with potentially large consequences for clinical decision making. With a systematic review of available biomarkers in ConHD we identified the cli

Globally, boreal forests act as important carbon sinks, however, drought and forest management could substantially alter the sink strength, though the controlling mechanisms of drought and management remain unclear. In this study, we combined the detailed process-based CoupModel with multiple measurements to study the impacts of recent drought and forest thinning on a boreal forest during 2018–202

Repair or reconstruction after a peripheral nerve injury is a challenge because functional outcome is still unsatisfactory. Treatment in patients with diabetes may be further demanding. Nerve regeneration after nerve injury was investigated, using various repair and reconstruction models, including immediate and delayed repair, bioengineered conduits, or nerve autografts as well as a possibility t

The book offers an overview of the history, cases and material of the European Law Moot Court Competition (ELMC). The ELMC is today considered the most prestigious moot court within the field of European Union Law and one of the most important moot court competitions in the world.Published at the occasion of the 35th anniversary of the competition, the book aims to both motivate students and guide

BACKGROUND: The COVID-19 pandemic has highlighted the importance of evidence-informed priority setting and situational analysis in pandemic preparedness and response. Health Technology Assessment (HTA) has been identified as an essential tool for evidence-informed decision-making in healthcare. However, the potential role of HTA in pandemic preparedness and response in Africa has yet to be explore

Manual motor performance declines with age, but the extent to which age influences the acquisition of new skills remains a topic of debate. Here, we examined whether older healthy adults show less training-dependent performance improvements during a single session of a bimanual pinch task than younger adults. We also explored whether physical and cognitive factors, such as grip strength or motor-c

This article suggests a model for lexical verb semantics that unifies Halliday’s model for transitivity with Langacker’s concept of base and profile and also with a model for situation type (cf. Smith 1997). It is claimed that verbs adhere to one of four macro domains: the material, the social, the mental or the relational domain. Within these domains there are numerous types of verbs, such as mot

Language learners must become able to perceive and process new speech sounds in order to segment words and sentences. The process of obtaining these skills is, to a high degree, implicit. However, research attempting to find the neuroanatomical correlates of such an implicit learning system has mostly used artificial grammar or serial reaction time tasks that are lacking in linguistic relevance. ILanguage learning involves implicitly acquiring a sensitivity for novel speech sounds and phonological structure [1]. Implicit learning skill differs between individuals [2] and this individual difference could potentially be reflected in the quality of white matter tracts relevant for speech perception and production [3] or for implicit sequence learning [4]. Implicit learning of speech has been

Reformer för tillväxt bör stå i fokus för den ekonomiska debatten – inte vem som kan spendera mest pengar på kortsiktiga projekt. Det skriver Fredrik N G Andersson och Lars Jonung.

Implicit sequence learning (ISL) has been studied using a variety of tasks two of which have been particularly influential: the serial reaction time task (SRTT) and the artificial grammar learning (AGL) task, stemming from the motor learning domain and psycholinguistics, respectively. SRTTs measure the difference in response times between a repeatedly presented and random sequences of keyboard pre

Formal models for the safety validation of autonomous vehicles have become increasingly important. To this end, we present a safety framework for longitudinal automated driving. This framework enables the calculation of minimum safe inter-vehicular distances for arbitrary ego vehicle control policies in a computationally efficient manner. We use this framework to enhance and generalize the Respons

Despite the widely recognized potential of product-as-a-service (PaaS) business models to contribute to the circular economy, many industrial case studies have reported that several systemic factors tend to hinder product manufacturers from effectively designing such solutions. More specifically, factors such as linear value chains, organizational structures, and market and financial conditions te

Declarative approaches to program analysis promise a number of practical advantages over imperative approaches, from eliminating manual worklist management to increasing modularity. Reference Attribute Grammars (RAGs) are one such approach. One particular advantage of RAGs is the automatic generation of on-demand implementations, suitable for query-based interactive tooling as well as for client a