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Internal validation of a convolutional neural network pipeline for assessing meibomian gland structure from meibography.
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Johnson & Johnson MedTech (Vision), Irvine, California.
Significance: Optimal meibography utilization and interpretation are hindered due to poor lid presentation, blurry images, or image artifacts and the challenges of applying clinical grading scales. These results, using the largest image dataset analyzed to date, demonstrate development of algorithms that provide standardized, real-time inference that addresses all of these limitations.
Purpose: This study aimed to develop and validate an algorithmic pipeline to automate and standardize meibomian gland absence assessment and interpretation.
Predicting the polyspecificity of aminoacyl-tRNA synthetase for non-canonical amino acids using molecular dynamics simulation and MM/PBSA.
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Department of Biotechnology and Bioengineering, Chonnam National University, Gwangju, Republic of Korea.
With the advancement of genetic code expansion, the field is progressing towards incorporating multiple non-canonical amino acids (ncAAs). The specificity of aminoacyl-tRNA synthetases (aaRSs) towards ncAAs is a critical factor, as engineered aaRSs frequently show polyspecificity, complicating the precise incorporation of multiple ncAAs. To address this challenge, predicting binding affinity can be beneficial.
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Human epidermal growth factor receptor 2 (HER2) positive gastric cancer (GC) shows a robust response to the combined therapy based HER2-targeted therapy. The application of these therapies is highly dependent on the evaluation of tumor HER2 status. However, there are many risks and challenges in HER2 assessment in GC.
View Article and Find Full Text PDFHighly Thermal-Conductive Cubic Boron Arsenide: Single-Crystal Growth, Properties, and Future Thin-Film Epitaxy.
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College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), State Key Laboratory of Organic Electronics and Information Displays, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210023, P.R. China.
Heat dissipation has become a critical challenge in modern electronics, driving the need for a revolution in thermal management strategies beyond traditional packaging materials, thermal interface materials, and heat sinks. Cubic boron arsenide (c-BAs) offers a promising solution, thanks to its combination of high thermal conductivity and high ambipolar mobility, making it highly suitable for applications in both electronic devices and thermal management. However, challenges remain, particularly in the large-scale synthesis of a high-quality material and the tuning of its physical properties.
View Article and Find Full Text PDFUntangling the role of single-atom substitution on the improvement of the hydrogen evolution reaction of YNS MXene in acidic media.
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Departamento de Física Aplicada - Instituto de Ciencia de Materiales, Matter at High Pressure (MALTA) Consolider Team, Universidad de Valencia, Edificio de Investigación, C/Dr Moliner 50, Burjassot, 46100, Valencia, Spain.
The production of hydrogen (H) fuel through electrocatalysis is emerging as a sustainable alternative to conventional and environmentally harmful energy sources. However, the discovery of cost-effective and efficient materials for this purpose remains a significant challenge. In this study, we explore the potential of the transition-metal-substituted YNS MXene as a promising candidate for hydrogen production through the hydrogen evolution reaction (HER).
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