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Smart cities and communities (SCC) constitute a new paradigm in urban development. SCC ideate a data-centered society aimed at improving efficiency by automating and optimizing activities and utilities. Information and communication technology along with Internet of Things enables data collection and with the help of artificial intelligence (AI) situation awareness can be obtained to feed the SCC
We present a novel deep neural network architecture for representing robot experiences in an episodic-like memory that facilitates encoding, recalling, and predicting action experiences. Our proposed unsupervised deep episodic memory model as follows: First, encodes observed actions in a latent vector space and, based on this latent encoding, second, infers most similar episodes previously experie
Recognition of human manipulation actions together with the analysis and execution by a robot is an important issue. Also, perception of spatial relationships between objects is central to understanding the meaning of manipulation actions. Here we would like to merge these two notions and analyze manipulation actions using symbolic spatial relations between objects in the scene. Specifically, we d
Understanding continuous human actions is a non-trivial but important problem in computer vision. Although there exists a large corpus of work in the recognition of action sequences, most approaches suffer from problems relating to vast variations in motions, action combinations, and scene contexts. In this paper, we introduce a novel method for semantic segmentation and recognition of long and co
A tight correlation between the baryonic and observed acceleration of galaxies has been reported over a wide mass range (108 < M bar/M⊙ < 1011 M⊙); this is known as the radial acceleration relation (RAR). This has been interpreted as evidence that dark matter is actually a manifestation of a modified, weak-field gravity theory. In this work, we studied the radially resolved RAR of 12 nearby dwarf
We present a novel unsupervised framework, which links continuous visual features and symbolic textual descriptions of manipulation activity videos. First, we extract the semantic representation of visually observed manipulations by applying a bottom-up approach to the continuous image streams. We then employ a rule-based reasoning to link visual and linguistic inputs. The proposed framework allow
This paper contributes to semantic representation of human demonstrated actions for robot execution of time constrained tasks. We propose a semantic action encoding method based on interactions between the subject and objects in the scene. Our semantic framework is enriched with a descriptive spatial reasoning method which leads to accurate segmentation and recognition of unique action primitives.
In this work, we present a new single-stage method for subject agnostic face swapping and identity transfer, named FaceDancer. We have two major contributions: Adaptive Feature Fusion Attention (AFFA) and Interpreted Feature Similarity Regularization (IFSR). The AFFA module is embedded in the decoder and adaptively learns to fuse attribute features and features conditioned on identity information
Denna avhandling undersöker hur subtila former av medborgerligt motstånd tar form i Hongkongs pågående autokratisering. I en kontext präglad av vilande sociala rörelser, ökande mediecensur och digital övervakning visar studien att uttryck som inte aktivt söker uppmärksamhet ändå kan spela en viktig roll i medborgerligt engagemang. Med utgångspunkt i Hongkong efter införandet av den nationella säkThis thesis challenges the assumption that expressions that do not actively seek attention is less significant in the research of civic engagement, by foregrounding the arts of subtle resistance in contexts of social movement abeyance, heightened media censorship and digital surveillance. Drawing upon the empirical case of Hong Kong, where a National Security Law was enacted in 2020 to discourage
Swedish architectural modernism is intimately tied to thedevelopment of the welfare state, where the roles and work ofarchitects largely followed governmental building policies. Thepolitical and economical crisis of the late 1960s and 1970swas particularly devastating for Swedish architecture as theshortcomings of the welfare state were partly blamed on thearchitecture profession. This paper is a
Spindle cell lipomas (SCL) and pleomorphic lipomas (PL) are today considered a single tumor entity (SCLPL). Atypical SCLPL, in contrast, represents a recently recognized related but distinct entity. Here we explored the correlation between genomic features and morphological aspects of SCLPL and atypical SCLPL and the role of the RB1 gene in tumor development. Seventy-one samples from 68 patients w
When violence against a child is reported to authorities, it is crucial that its severity is communicated effectively and evaluated accurately by professionals. This study, conducted in two phases, investigated perceptual differences in calibration and accuracy regarding psychological and physical violence against children among parents, social workers, and laypeople. In Phase 1, parents who had w
Antimicrobial resistance (AMR) poses a major threat to global health, with limited surveillance data available from western sub-Saharan Africa. After reports of high rates of methicillin-resistant Staphylococcus aureus (MRSA) and extended-spectrum beta-lactamase (ESBL) in bloodstream infections at The Gambia’s sole tertiary hospital, we present follow-up data after enhancements in microbiology cap
Urban areas play an important role in attaining the sustainability and energy goals set by municipalities. Despite the often ambitious sustainability visions and goals for new urban areas, there is limited understanding of how these aspirations are integrated into the planning and development process. This paper aims to provide insights into how energy-related visions and goals, in a new district
Cardiac rehabilitation (CR) is a well established intervention for secondary prevention after myocardial infarction (MI), yet substantial variability in CR delivery and patient outcomes persists globally. This review provides an in-depth overview of the SWEDEHEART-CR registry, a comprehensive Swedish national quality registry that has facilitated continuous quality improvement and clinical researc
The concept of a mission-oriented innovation policy has been discussed for several years now, with definitions and conceptual understanding gradually emerging. Although focused on grand societal challenges, i.e. on a particular type of problem that has been receiving attention only in the last couple of years, the discussion and the design of mission-oriented innovation policy can still draw on pa
Purpose The EPHOR-NIGHT cohort was established to investigate how night shift work influences biological pathways and chronic disease risk using a comprehensive working-life exposome approach, focusing on cardiometabolic, mental health, cognitive and biological ageing outcomes. Participant The cohort includes 937 workers aged 20–65 years (88%female), primarily from the healthcare sector (96%) in S
BACKGROUND: The heterogeneity of Alzheimer's disease (AD) and lack of well-validated markers of non-AD factors (e.g. TDP-43) present a substantial challenge for therapeutics. Our prior work showed discordance between tau (T) and neurodegeneration (N) identified non-AD factors in AD through multi-modality imaging. Here we tried a simplified approach using plasma ptau217 and medial temporal lobe (MT
