Novel Use of Scanning Methods to Investigate the Performance of Screw Connections in Timber-Concrete Composite Structures

This paper investigates the shear force capacity, stiffness, and effective length of the connection screws in timber-concrete composite structures.Ten samples (six hardwood and four softwood) were fabricated with the connection screws installed at different angles through the interface.The shear force capacities and the global stiffness characteris

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The Effect of Aerobic Exercise on Depression and Academic Performance of University Students with Autism Spectrum Disorder

Depression is the most common Autism Dab Tools Spectrum Disorder (ASD) co-morbidities, and have been shown to relate to significantly poorer life functioning.ASD can also result in social isolation, debilitating moods, and stereotypical behaviors, which can negative effect academic performance.Young adults with ASD are less likely to enroll in coll

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Early Recurrence Prediction of Hepatocellular Carcinoma Using Deep Learning Frameworks with Multi-Task Pre-Training

Post-operative early recurrence (ER) of hepatocellular carcinoma (HCC) is a major cause of mortality.Predicting ER before treatment can guide treatment and follow-up protocols.Deep learning frameworks, known for their superior performance, are widely used in medical imaging.However, they face challenges Shopping Bags due to limited annotated data.W

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Evaluation of the radiation background in residential premises caused by man-made enhanced sources of natural origin

The natural radiation background is an important abiotic factor.Nowadays, radiation from natural sources is enhanced by a man-made component.Population growth stimulates construction, for which natural mineral raw materials are used.Uranium and its daughter radionuclides FOR HIM contained in building materials increase the impact of natural sources

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