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Preimplantation genetic diagnosis (PGD) is provided by majority of reproductive clinics in the United States (US), and PGD is used in many in vitro fertilization (IVF) procedures every year. PGD is extensively used to screen for certain genetic abnormalities and aneuploidy in individuals undergoing IVF. Genetic disorders are very prevalent in Saudi Arabia.

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Portable dual-function ratio-type triple-emission molecularly imprinted fluorescence sensor for the simultaneous visual detection of hepatitis A and B viruses.

Anal Chim Acta

January 2025

The key Laboratory for Green Organic Synthesis and Application of Hunan Province, College of Chemistry, Xiangtan University, Xiangtan, 411105, China. Electronic address:

Background: Viral epidemics have long endangered human health and had dramatic impacts on environment and society. The currently known viruses and the rapid emergence of previously unknown viruses lead to an urgent need for effective virus detection strategies. It is important to develop methods that can detect multiple related viruses simultaneously in order to improve detection efficiency and to avoid treatment delays due to misdiagnoses.

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Repetitive TMS (rTMS) is a powerful neuroscientific tool with the potential to noninvasively identify brain-behavior relationships in humans. Early work suggested that certain rTMS protocols (e.g.

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Learning with noisy labels via clean aware sharpness aware minimization.

Sci Rep

January 2025

School of Mechanical, Electrical, and Information Engineering, Putian University, Putian, 351100, China.

Noise label learning has attracted considerable attention owing to its ability to leverage large amounts of inexpensive and imprecise data. Sharpness aware minimization (SAM) has shown effective improvements in the generalization performance in the presence of noisy labels by introducing adversarial weight perturbations in the model parameter space. However, our experimental observations have shown that the SAM generalization bottleneck primarily stems from the difficulty of finding the correct adversarial perturbation amidst the noisy data.

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The medical and cosmetic industries have developed in recent years, there has been a growing demand for new materials. Gold nanoparticles (Au NPs) and chitosan (CS) have been known and used for many years. Unfortunately, despite their numerous advantages and possible applications, such materials may possess certain disadvantages and limitations that constitute a problem in medical or cosmetic applications.

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