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Genetic diversity of the immunoglobulin heavy chain locus in cohorts of patients affected with SARS-CoV-2
Published 2025-01-01“…Abstract Background The Immunoglobulin Heavy Chain (IGH) genomic region is responsible for the production of circulating antibodies and warrants careful investigation for its association with COVID-19 characteristics. …”
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La Vision artistique de la montagne : panorama, pli ou plongée ?
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Two Stages of Turkey’s Quest for a Regional Power Status in the Middle East: An Integrated Role- Status-seeking Approach
Published 2020-12-01“…Since 2002, Turkey has actively been seeking a regional power status in the Middle East through the articulation of regional roles based on historical legacy and liberal experience. …”
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Keeping Up Appearances: The Importance of Reputation in State – Group Relations
Published 2019-12-01“…I argue that the reputation hypothesis is more useful than its bad track record in interstate conflicts suggests. …”
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The effect of rust layer damage on the corrosion resistance of Q420 bridge steels
Published 2025-01-01“…A new experimental method has been introduced in this work to achieve different levels of artificial damage on the rust layer. …”
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Trends and disparities in the surgical management of spinal fractures in Sweden during 2008–2023
Published 2025-01-01“…Abstract Background Spinal fractures are a group of complex injuries whose management varies according to a number of factors. The aim of this study was to analyze trends in the management of spinal fracture surgery in Sweden from 2008 to 2023 with a focus on disparities based on gender, surgery method, age and geographical location. …”
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Hybridize Machine Learning Methods and Optimization Techniques to Analyze and Repair Welding Defects via Digital Twin of Jidoka Simulator
Published 2025-01-01“…We are creating a “digital Jidoka twin system” (SQ(R/I/E)) with a controller segment programmed with machine learning (ML) algorithms that use the MFEM’s huge and uneven data to sort defects and their causes. Hybridising the Random-Forest algorithm with Dingo optimisation and called Regulated Random Forest (RRF) to precisely identify defect clusters and then predict the welding defect growth rate (<inline-formula> <tex-math notation="LaTeX">$\boldsymbol {{R}_{s}}$ </tex-math></inline-formula>) using the Cat-boost optimiser, which is enhanced by a beetle search mechanism called CatBAS. …”
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