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Byggnader med inskrifter och bilder i renässansens Skåne cirka 1450–1658

Den här artikeln undersöker hur olika individer manifesterade sin person i byggnader under renässansen i Skåne. Genom en analys av stentavlor och träbjälkar med inskriptioner och bilder belyses frågor om identitet och individualitet. Föremålen placerades ofta ovanför dörrar i borgar och herrgårdar eller i byggnader som tillhörde städernas elit. Artikeln diskuterar vem som kunde se och förstå budsk

Achieving a Data-driven Risk Assessment Methodology for Ethical AI

The AI landscape demands a broad set of legal, ethical, and societal considerations to be accounted for in order to develop ethical AI (eAI) solutions which sustain human values and rights. Currently, a variety of guidelines and a handful of niche tools exist to account for and tackle individual challenges. However, it is also well established that many organizations face practical challenges in n

Impact of the first wave of the COVID-19 pandemic on healthcare use in osteoarthritis : A population register-based study in Sweden

Objective: To investigate whether the first wave of the COVID-19 pandemic impacted healthcare consultations (HCC) and hospitalization among people with and without osteoarthritis (OA).Methods: Using register data, we included individuals aged ≥35 years residing in Skåne region, Sweden, during 2009-2019 with (n ​= ​123,523) and without (n ​= ​552,412) a diagnosis of OA during January 1, 2009-Decemb

Pathogenesis, Symptomatology, and Transmission of SARS-CoV-2 through analysis of Viral Genomics and Structure

The novel coronavirus SARS-CoV-2, which emerged in late 2019, has since spread around the world infecting tens of millions of people with coronavirus disease 2019 (COVID-19). While this viral species was unknown prior to January 2020, its similarity to other coronaviruses that infect humans has allowed for rapid insight into the mechanisms that it uses to infect human hosts, as well as the ways in

Bias field correction of MPRAGE by an external reference - The poor man's MP2RAGE

Purpose: To implement and evaluate a sequential approach to obtain semi-quantitative T1-weighted MPRAGE images, unbiased by B1 inhomogeneities at 7T.Methods: In the reference gradient echo used for normalization of the MPRAGE image, flipangle (αGE) and acquisition voxel size (Vref) was varied to optimize tissue contrast and acquisition time (Tacq). The finalized protocol was implemented at three d

Correction of FLASH-based MT saturation in human brain for residual bias of B1-inhomogeneity at 3T

Background: Magnetization transfer (MT) saturation reflects the additional saturation of the MRI signal imposed by an MT pulse and is largely driven by the saturation of the bound pool. This reduction of the bound polarization by the MT pulse is less efficient than predicted by the differential B1-square law of absorption. Thus, B1 inhomogeneities lead to a residual bias in the MT saturation maps.

Sequential Detection and Estimation of MultipathChannel Parameters Using Belief Propagation

This paper proposes a BP-based algorithm for sequential detection and estimation of MPC parameters based on radio signals. Under dynamic channel conditions with moving transmitter and/or receiver, the number of MPCs reflected from visible geometric features, the MPC dispersion parameters (delay, angle, Doppler frequency, etc), and the number of false alarm contributions are unknown and time-varyin

Advantage of Binary Stochastic synapses for hardware Spiking Neural Networks with realistic memristors

Hardware implementing spiking neural networks (SNNs) has the potential to provide transformative gains in energy efficiency and throughput for energy-restricted machine-learning tasks. This is enabled by large arrays of memristive synapse devices that can be realized by various emerging memory technologies. But in practice, the performance of such hardware is limited by non-ideal features of the me

Through the Eyes of Creators: Observing Artificial Molecular Motors : ACS Nanoscience Au

Inspired by molecular motors in biology, there hasbeen significant progress in building artificial molecular motors, usinga number of quite distinct approaches. As the constructs become moresophisticated, there is also an increasing need to directly observe themotion of artificial motors at the nanoscale and to characterize theirperformance. Here, we review the most used methods that tacklethose t