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SPL-BEV: Soccer Player Localization and Birds-Eye-View Estimation
In this work we present SPL-BEV, a method to localize soccer players on a pitch from a monocular RGB camera. SPL-BEV features a network with few parameters that does not need to make any explicit object detection before localization is made. With SPL-BEV we show increased performance on the Spiideo SoccerNet SynLoc dataset compared to the best provided baseline result. The SPL-BEV system samples f
Aerosol-Cloud Interactions : Overcoming a Barrier to Projecting Near-Term Climate Evolution and Risk
Aerosol-cloud interactions (ACI) are a major source of uncertainty in climate science, critically affecting our ability to project near-term climate evolution and assess societal risks. These interactions influence effective radiative forcing, cloud dynamics, and precipitation patterns, yet remain insufficiently constrained due to limitations in observations, modeling, and process understanding. T
Statin use and risk of breast cancer among women with benign breast disease : a Danish nationwide cohort study
BACKGROUND: Statins have been suggested to protect against breast cancer risk, but the observational evidence is inconclusive. We examined the association between statin use and breast cancer incidence among women at higher risk of breast cancer due to a history of benign breast disease (BBD).METHODS: Using Danish registries, we identified cancer-free women aged ≥50 years during 1996-2018 with a h
Securing reconfigurable scan networks against data sniffing and data alteration attacks
It is common for a system integrator to make use of third party intellectual property (IP) blocks from multiple vendors in the design of a circuit. These IPs may include test features, known as instruments, which are connected to a reconfigurable scan network, such as an IEEE Std. 1687 (IJTAG) network, for efficient on-chip integration and communication.Using third party instruments this way becom
Secure and efficient sharing of on-chip resources
Semiconductors use on-chip components, referred to as instruments, for test, debugging, firmware programming, configuration and other important functions. The instruments are needed to ensure proper device operation, however, they may be exploited by an adversary in an attack. With many different actors involved in semiconductor development and manufacturing, it becomes important to restrict acces
Towards modeling and improving human-centered code review
Tool-based code review has been an established software engineering practice for at least a decade. However, while software development environments have improved significantly during this time with advanced features for code comprehension, refactoring, and AI support, code review tools have remained more static and are still centered around a two-way textual diff view with features similar to whe
Bragg Diffraction Imaging : Overcoming Angular Uncertainty
Probing the internal structure of crystalline materials is vital for understanding and optimizing their functional properties, especially in semiconductors and multiferroics, where nanoscale distortions such as strain and lattice tilt can dramatically affect performance. Among various characterization tools, X-ray diffraction imaging offers a unique combination of deep penetration, nondestructive
TinyFoA : Memory Efficient Forward-Only Algorithm for On-Device Learning
Code review as decision-making : building a cognitive model from the questions asked during code review
Code review is a well-established and valued practice in the software engineering community contributing to both code quality and interpersonal benefits. However, there are challenges in both tools and processes that give rise to misalignments and frustrations. Recent research seeks to address this by automating code review entirely, but we believe that this risks losing the majority of the interp
Krishantering vid allvarlig händelse som berör student
Om något händer, som till exempel att en student råkar ut för en allvarlig händelse kan det uppstå en krissituation som är viktig att hantera på ett bra sätt.Denna checklista utgör ett stöd och beskriver de olika stegen i processen. Frågorna berör krishantering vid allvarlig händelse, så som svårare personskador, men tankar bakom är tillämpbara vid andra krissituationer.Om en allvarlig händelse in
Decreasing humoral activity in siblings of type 1 diabetes children over a ten year period with increasing incidence of the disease
Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems
In healthcare, data privacy of patients regulations prohibits data from being moved outside the hospital, preventing international medical datasets from being centralized for AI training. Federated learning (FL) is a data privacy-focused method that trains a global model by aggregating local models from hospitals. Existing FL techniques adopt a central server-based network topology, where the serv
Photoredox matching of earth-abundant photosensitizers with hydrogen evolving catalysts by first-principles predictions
Photoredox properties of several earth-abundant light-harvesting transition metal complexes in combination with cobalt-based proton reduction catalysts have been investigated computationally to assess the fundamental viability of different photocatalytic systems of current experimental interest. Density functional theory (DFT) and time-dependent DFT (TD-DFT) calculations using several GGA (BP86, B
ML-Enabled Outdoor User Positioning in 5G NR Systems via Uplink SRS Channel Estimates
Cellular user positioning is a promising service provided by Fifth Generation New Radio (5G NR) networks. Besides, Machine Learning (ML) techniques are foreseen to become an integrated part of 5G NR systems improving radio performance and reducing complexity. In this paper, we investigate ML techniques for positioning using 5G NR fingerprints consisting of uplink channel estimates from the physica
Secure reuse of DfT during operation
Ligand-centered to metal-centered activation of a Rh(iii) photosensitizer revealed by ab initio molecular dynamics simulations
Excited state evolution of the rhodium(iii) complex [Rh(iii)(phen)2(NH3)2]2+ (phen = 1,10-phenanthroline) has been investigated theoretically to gain a better understanding of light-driven activation of high-energy metal centered states. Ab initio molecular dynamics (AIMD) simulations show the significance of asymmetric motion on a multidimensional potential energy landscape around the metal cente
Large Language Models for Printed Circuit Board Test Generation
Influence of land cover on noise simulation output – A case study in Malmö, Sweden
Determining the land cover (LC) data requirements used as input to noise simulations is essential for planning sustainable urban densifications. This study examines how different LC datasets influence simulated environmental noise levels of road traffic using Nord2000 in an urban area of 1 km2 in southern Sweden. Four LC datasets were used. The first dataset was based on satellite data (spatial re
Profound inhibition of chronic itch induced by stimulation of thin cutaneous nerve fibres.
Background Despite the fact that severe itch is common in many dermatological diseases, the therapeutic arsenal against itching is limited. From neurophysiological experiments, using a new technique termed cutaneous field stimulation, it is known that acute itch can be effectively relieved by stimulation of cutaneous nociceptors. Methods We tested the effects of cutaneous field stimulation (25 mi
