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Robotic systems often face execution failures due to unexpected obstacles, sensor errors, or environmental changes. Traditional failure recovery methods rely on predefined strategies or human intervention, making them less adaptable. This paper presents a unified failure recovery framework that combines Vision-Language Models (VLMs), a reactive planner, and Behavior Trees (BTs) to enable real-time

The Australian Bogong moth (Agrotis infusa) is a small noctuid moth that undertakes annual, nocturnal migrations of up to 1000 km to escape the summer heat of its breeding grounds. The moths travel to cool alpine caves, where they enter a dormant state (aestivation) before returning to reproduce and die. During migration, their brains integrate magnetic and visual cues to guide their flight direct

System co-sensitization and extension of the π-conjugated system are recognized as two key strategies for improving the performance of dye-sensitized solar cells (DSSCs). In this study, density functional theory (DFT) was employed to simulate two experimentally synthesized molecules, RK1 and D205, and to evaluate the performance of their co-sensitization system. Furthermore, molecular design was c

Organic pollutants in aquatic environments pose a threat to ecosystems and human health, a challenge that requires urgent resolution. This urgent threat highlights the need for the development of efficient technologies for pollutant detection and degradation in environmental protection. This study presents the successful fabrication of a composite nanomaterial consisting of Ag nanoparticle-decorat

Photo-induced dynamics of electronic processes are driven by the coupling between electronic and nuclear degrees of freedom. Here, we construct one- and two-dimensional organic-inorganic tin halides to investigate how dimensionality controls exciton-phonon coupling and exciton self-trapping. The results show that a one-dimensional system has strong exciton-phonon coupling leading to excitation-ind

With organic solar cells surpassing 20% efficiency, the focus is shifting toward understanding the more complex mechanisms in ternary blends. This work investigates the distinct working principles of ternary organic solar cells based on a polymer donor (D) and a nonfullerene acceptor (NFA), with a fullerene acceptor (FA) as the third component. A systematic comparison between ternary D:NFA:FA syst

This work investigates lightweight personalisation of micro-electro-mechanical systems (MEMS)-based wearables using a public padel database as a case study. We compare a centralised CNN model, single-user models and two fine-tuning schemes (full and last-layer) on wrist-worn IMU data from 23 players and 13 stroke classes. Personalised models with data augmentation achieve weighted F1-scores above

The training of the state-of-the-art Deep Neural Networks (DNNs) consumes massive amounts of energy, while the human brain learns new tasks with remarkable efficiency. Currently, the training of DNNs relies almost exclusively on Backpropagation (BP). However, BP faces criticism due to its biologically implausible nature, underscoring the significant disparity in performance and energy efficiency b

When discussing the relationship between religion and LGBTQIA+ rights in Europe today, the two are often framed by both religious and secular representatives as oppositional forces. While the rights of sexual and gender minorities are frequently described as symbols of progress and modernity within liberal democracies, religious communities and traditions are commonly portrayed as defenders of tra

Background Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition influenced by both genetic and environmental factors. Prenatal and perinatal exposures have been implicated in ASD etiology, but their influence may vary across clinical subgroups, including subgroups defined by co-occurring intellectual disability (ID). Methods We conducted a population-based case–control st

Objective The basis for protein synthesis is the genetic code. Many of these proteins will affect intermediary metabolites by acting as enzymes, hormones, or by other actions. The aim of the present study was to assess the relationships of a large number of proteins with endogenous metabolites. Methods Plasma protein levels were measured by the proximity extension assay (PEA) and metabolites by ma

I denna rapport redovisas populationstrender för 208 svenska fågelarter för olika långa tidsperioder. Fåglarna har räknats vinter, vår och sommar enligt strikt standardiserade metoder. Sommarrespektive vinterpunktrutter har räknats sedan 1975, i huvudsak i södra Sverige. Standardrutterna räknas också på sommaren (sedan 1996) men täcker hela Sverige på ett representativt sätt. Nattaktiva fåglar harWe present the results of the Swedish Bird Survey, run by the Department of Biology, Lund University, as a part of the National Monitoring Programme of the Swedish Environmental Protection Agency. The results for 2017 include data from: 575 winter point counts in 2016/2017 (42nd winter), of which 284 were carried out during the Christmas/New Year count, 223 summer point count routes (43rd year) an

Sedan antiken har humanismen försökt definiera den mänskliga naturens väsen samtidigt som den placerar människan i universums centrum som ”alla tings mått”. I ett försök att omvärdera människans betydelse har det talats om ett slags transhumanistisk intersubjektivitet. Jag utgår från fysikern och feministen Karen Barads begrepp intraaktion (samspel mellan integrerade delar). Barad myntar begreppet

Electronic health records (EHRs) are a rich source of information for medical research and public health monitoring. Information systems based on EHR data could also assist in patient care and hospital management. However, much of the data in EHRs is in the form of unstructured text, which is difficult to process for analysis. Natural language processing (NLP), a form of artificial intelligence, h

In polaritons, the properties of matter are modified by mixing the molecular transitions with light modes inside a cavity. Resultant hybrid light-matter states exhibit energy level shifts, are delocalized over many molecular units, and have a different excited-state potential energy landscape, which leads to modified exciton dynamics. Previously, non-Hermitian Hamiltonians have been derived to des

ObjectiveTo determine the feasibility of a digitally automated population-based programme for organised prostate cancer testing (OPT) in Southern Sweden.Patients and MethodsA pilot project for a regional OPT was conducted between September 2020 and February 2021, inviting 999 randomly selected men aged 50, 56, or 62 years (y). Risk stratification was based on PSA, PSA density (PSAD), and biparamet

Reducing the excitation threshold to minimize the Joule heating is critical for the realization of perovskite laser diodes. Although bound excitons are promising for low threshold laser, how to generate them at room temperature for laser applications is still unclear in quasi-2D perovskite-based devices. In this work, via engineering quasi-2D perovskite PEA2(CH3NH3)n-1PbnBr3n+1 microscopic grains

Genetic variation at the MTIF3 (Mitochondrial Translational Initiation Factor 3) locus has been robustly associated with obesity in humans, but the functional basis behind this association is not known. Here, we applied luciferase reporter assay to map potential functional variants in the haplotype block tagged by rs1885988 and used CRISPR-Cas9 to edit the potential functional variants to confirm

The advent of optogenetic tools has had a profound impact on modern neuroscience research, revolutionizing our understanding of the brain. These tools offer a remarkable ability to precisely manipulate specific groups of neurons with an unprecedented level of temporal precision, on the order of milliseconds. This breakthrough has significantly advanced our knowledge of various physiological and pa