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Open AccessSubwavelength imaging using a solid-immersion diffractive optical processor
Phase imaging is widely used in biomedical imaging, sensing, and material characterization, among other fields. However, direct imaging of phase objects with subwavelength resolution remains a challenge. Here,...
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Open AccessHistone acetyltransferase Kat2a regulates ferroptosis via enhancing Tfrc and Hmox1 expression in diabetic cardiomyopathy
Diabetic cardiomyopathy (DCM) is a prevalent myocardial microvascular complication of the myocardium with a complex pathogenesis. Investigating the pathogenesis of DCM can significantly contribute to enhancing...
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Open AccessAnalysis of PD-L1 promoter methylation combined with immunogenic context in pancreatic ductal adenocarcinoma
Despite the successful application of programmed cell death ligand 1 (PD-L1)-blocking strategies in some types of cancers and well-established prognostic indicators in pancreatic ductal adenocarcinoma (PDAC), ...
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Open AccessPhysical and mechanical characteristics deterioration and crack evolution of sandy mudstone in an open-pit mine under multiple freeze–thaw cycles
In open-pit mines located in cold regions north of the 38°N latitude, there are significant freeze–thaw phenomena in slope rocks. This study conducted freeze–thaw cycle tests, considering the number of freeze–...
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Open AccessSalicylic acid inducing the expression of maize anti-insect gene SPI: a potential control strategy for Ostrinia furnacalis
Due to being rooted in the ground, maize (Zea mays L.) is unable to actively escape the attacks of herbivorous insects such as the Asian corn borer (Ostrinia furnacalis). In contrast to the passive damage, plants...
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Open AccessAll-optical image denoising using a diffractive visual processor
Image denoising, one of the essential inverse problems, targets to remove noise/artifacts from input images. In general, digital image denoising algorithms, executed on computers, present latency due to severa...
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Open AccessStability analysis of a slope containing water-sensitive mudstone considering different rainfall conditions at an open-pit mine
Mudstone, as a typical soft rock with wide distribution, has been endangering the slopes containing mudstone by its water-sensitivity of swelling and weakening strength when encountering water. To comprehensiv...
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Open AccessTwo sequence- and two structure-based ML models have learned different aspects of protein biochemistry
Deep learning models are seeing increased use as methods to predict mutational effects or allowed mutations in proteins. The models commonly used for these purposes include large language models (LLMs) and 3D ...
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Open AccessTargeting N-glycosylation of 4F2hc mediated by glycosyltransferase B3GNT3 sensitizes ferroptosis of pancreatic ductal adenocarcinoma
Pancreatic ductal adenocarcinoma (PDAC) remains a highly fatal malignancy partially due to the acquired alterations related to aberrant protein glycosylation that pathologically remodel molecular biological pr...
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Open AccessSelf-supervised learning of hologram reconstruction using physics consistency
Existing applications of deep learning in computational imaging and microscopy mostly depend on supervised learning, requiring large-scale, diverse and labelled training data. The acquisition and preparation o...
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Open AccessStudy on dynamic mechanical response characteristics and fracture energy dissipation mechanism of sandstones with different saturations under real-time low temperature
It is of great significance to study the mechanical properties of rocks with different saturations for safe and efficient development of geotechnical engineering in low-temperature environments, such as open-p...
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Article
Troubleshooting image segmentation models with human-in-the-loop
Image segmentation lays the foundation for many high-stakes vision applications such as autonomous driving and medical image analysis. It is, therefore, of great importance to not only improve the accuracy of ...
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Open AccessFourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization
Deep learning-based image reconstruction methods have achieved remarkable success in phase recovery and holographic imaging. However, the generalization of their image reconstruction performance to new types o...
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Open AccessStability analysis of rib pillars in highwall mining under dynamic and static loads in open-pit coal mine
The retained coal in the end slope of an open-pit mine can be mined by the highwall mining techniques. However, the instability mechanism of the reserved rib pillar under dynamic loads of mining haul trucks an...
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Open AccessQuantitative changes of upper airway in class III patients undergoing bimaxillary surgery after one-year follow-up: a retrospective study
Bimaxillary surgery is often performed for class III malocclusion, and its complex influence on the upper airway has been well considered. The aim of this research was to provide a scaled formula between upper...
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Open AccessSentinel-1A for monitoring land subsidence of coastal city of Pakistan using Persistent Scatterers In-SAR technique
Karachi is located in the southern part of Pakistan along the Arabian Sea coast. Relevant institutions are concerned about the possibility of ground subsidence in the city, contributing to the comparative sea-...
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Open AccessNovel LTBP3 mutations associated with thoracic aortic aneurysms and dissections
Thoracic aortic aneurysm and dissection (TAAD) is a hidden-onset but life-threatening disorder with high clinical variability and genetic heterogeneity. In recent years, an increasing number of genes have been...
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Open AccessDeciphering the generating rules and functionalities of complex networks
Network theory helps us understand, analyze, model, and design various complex systems. Complex networks encode the complex topology and structural interactions of various systems in nature. To mine the multis...
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Open AccessRecurrent neural network-based volumetric fluorescence microscopy
Volumetric imaging of samples using fluorescence microscopy plays an important role in various fields including physical, medical and life sciences. Here we report a deep learning-based volumetric image infere...
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Open AccessThe CT pulmonary vascular parameters and disease severity in COPD patients on acute exacerbation: a correlation analysis
It is necessary to analyze the CT pulmonary vascular parameters and disease severity in chronic obstructive pulmonary disease (COPD) patients to provide evidence support for the management of COPD.