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Assessment of image quality on the diagnostic performance of clinicians and deep learning models : Cross-sectional comparative reader study

BACKGROUND: Skin cancer is a prevalent and clinically significant condition, with early and accurate diagnosis being crucial for improved patient outcomes. Dermoscopy and artificial intelligence (AI) hold promise in enhancing diagnostic accuracy. However, the impact of image quality, particularly high dynamic range (HDR) conversion in smartphone images, on diagnostic performance remains poorly und

A mean field theory learning algorithm for neural networks

Based on t he Boltzmann Machine concept, we derive alear ning algorithm in which time-consuming stochastic measurementsof correlations a re replaced by solutions to dete rminist ic mean fieldtheory equ ations. T he method is applied to t he XOR (exclusive-or ),encoder, and line sym metry problems with substantial success. Weobserve speedup facto rs ranging from 10 to 30 for these ap plicat ionsand

An optoelectronic architecture for multilayer learning in a single photorefractive crystal

We propose a simple architecture for implementing supervised neural network models optically with photorefractive technology. The architecture is very versatile: a wide range of supervised learning algorithms can be implemented including mean-field-theory, backpropagation, and Kanerva-style networks. Our architecture is based on a single crystal with spatial multiplexing rather than the more commo

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This article is a revised version of the inaugural lecture delivered on 5 October2023, on the occasion of the author's appointment as Professor of History of Religions at Lund University. It opens by depicting fundamental changes in the study of the history of religions in the twentieth century, followed by biographical notes, including her research on lay Buddhism in urban Taiwan, the emphasis on

Exposure to antibiotics and risk of latent autoimmune diabetes in adults and type 2 diabetes : results from a Swedish case–control study (ESTRID) and the Norwegian HUNT study

Aims/hypothesis: Some studies find an increased risk of type 1 diabetes in children exposed to antibiotics. We investigated if exposure to antibiotics increases the risk of latent autoimmune diabetes in adults (LADA) and type 2 diabetes. Methods: We used data from a Swedish case–control study (Epidemiological Study of Risk Factors for LADA and Type 2 Diabetes [ESTRID]: LADA, n=597; type 2 diabetes

Grain size control in quasi-two-dimensional perovskite thin film via intermediate phase engineering for efficient bound exciton generation

Quasi-two dimensional (2D) perovskites have emerged as a promising class of materials due to their remarkable photoluminescence efficiency, which stems from their exceptionally high exciton binding energies. The spatial confinement of excitons within smaller grain sizes could enhance the formation of biexcitons leading to higher radiative recombination efficiency. However, the synthesis of high-qu

A Trojan horse for climate policy: Assessing carbon lock-ins through the Carbon Capture and Storage-Hydrogen-Nexus in Europe

The global energy landscape is entrenched in fossil fuels, shaping modern life profoundly. Germany, a prominent example, grapples with transitioning from its fossil-fuelled infrastructure despite governmental support for decarbonization. Carbon capture and storage (CCS) and hydrogen appear as crucial tools in this transition. A recent partnership between Germany and Norway seeks to leverage Norway

International Education and Transnational Education Corporations

A major development in international schools since the first decade of the 21st century is the growth of global firms operating revenue-oriented schools. Whereas international schools were once community organizations serving the needs of expatriate communities, the landscape has been transformed into an education industry. Transnational corporations and revenue-oriented nonprofits have acquired s

Changes in waterbird occurrence and abundance at their northern range boundaries in response to climate warming : importance of site area and protection status

Climate warming is driving changes in species distribution, but habitat characteristics can interact with warming temperatures to affect populations in unexpected ways. We investigated wintering waterbird responses to climate warming depending on habitat characteristics, with a focus on the northern boundary of their non-breeding distributions where winter climatic conditions are more extreme. At

Optimizing the Sensitivity of a Pelvic Sentinel Node Algorithm Requires a Hybrid Algorithm Combining Indocyanine Green Based Mapping and the Removal of Non-Mapped Nodes at Defined Anatomic Positions

AIM OF THE STUDY: to investigate the incidence of non-mapped isolated metastatic pelvic lymph nodes at pre-defined anatomical positions.PATIENTS AND METHODS: Between June 2019 and January 2024, women with uterine-confined endometrial cancer (EC) deemed suitable for robotic surgery and the detection of pelvic sentinel nodes (SLNs) were included. An anatomically based, published algorithm utilizing

A selective anatomically based lymph node sampling can replace a side specific pelvic lymphadenectomy in endometrial cancer with failed sentinel node mapping

AIM: To evaluate the locations of metastatic pelvic sentinel nodes (SLN) and the proportion of SLNs outside and within defined typical anatomical positions along the upper paracervical lymphatic pathway (UPP).PATIENTS AND METHODS: Consecutive women with endometrial cancer (EC) of all risk groups underwent pelvic SLN-detection using cervically injected indocyanine green (ICG). A strict anatomically

Sulfonamide-derivatized galactosides selectively target an unexplored binding site in the galectin-9N-terminal domain

Four directional and positional variants of sulfonamide-derivatized galactopyranosides were synthesized and evaluated against human galectin-1, -3, -4C (C-terminal), -7, -8N (N-terminal), -8C (C-terminal), -9N (N-terminal), and -9C (C-terminal), which revealed that one of the sulfonamide positions and directionalities (methyl 3-{4-[2-(phenylsulfonylamino)-phenyl]-triazolyl}-3-deoxy-α-D-galactopyra

System-wide identification and prioritization of enzyme substrates by thermal analysis

Despite the immense importance of enzyme-substrate reactions, there is a lack of general and unbiased tools for identifying and prioritizing substrate proteins that are modified by the enzyme on the structural level. Here we describe a high-throughput unbiased proteomics method called System-wide Identification and prioritization of Enzyme Substrates by Thermal Analysis (SIESTA). The approach assu