Optical microsphere nanoscope has great potential in the inspection of integrated circuit chips for semiconductor industry and morphological characterization in biology due to its superior resolving power and label-fr...
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Optical microsphere nanoscope has great potential in the inspection of integrated circuit chips for semiconductor industry and morphological characterization in biology due to its superior resolving power and label-free ***,its resolution in ambient air is restricted by the magnification and numerical aperture(NA)of *** magnification objective lens is required to be coupled with microsphere for nano-imaging beyond the diffraction *** overcome these challenges,in this work,high refractive index hyper-hemi-microspheres with tunable magnification up to 10×are proposed and realized by accurately tailoring their thickness with focused ion beam(FIB)*** effective refractive index is put forward to guide the design of *** demonstrate that the imaging resolution and contrast of a hyper-hemi-microsphere with a higher magnification and larger NA excel those of a microsphere in ***,the hyper-hemi-microsphere could resolve~50 nm feature with higher image fidelity and contrast compared with liquid immersed high refractive index *** a hyper-hemi-microsphere composed microscale compound lens configuration,sub-50 nm optical imaging in ambient air is realized by only coupling with a 10×objective lens(NA=0.3),which enhances a conventional microscope imaging power about an order of magnitude.
This paper presents an integrated AI-based pipeline for law enforcement applications, specifically targeting the creation of first information report (FIR) in the Kannada language. The pipeline comprises a speech proc...
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Background: The automated classification of videos through artificial neural networks is addressed in this work. To explore the concepts and measure the results, the data set UCF101 is used, consisting of video clips ...
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With the fast development of power systems, efficient methods for fault detection and classification are needed to maintain the stability, safety and efficiency of the systems. In particular, this paper investigates a...
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The fluctuating nature of lung cancer, which is impacted by recurrent radiation exposure and Computed Tomography (CT) pictures, makes the early detection of the disease challenging. Even seasoned professionals find ma...
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Hyperthermia can be induced to exploit the thermal intolerance of cancer cells,which is worse than that of normal cells,as a potential noninvasive cancer *** develop an effective hyperthermia treatment,thermal cytotox...
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Hyperthermia can be induced to exploit the thermal intolerance of cancer cells,which is worse than that of normal cells,as a potential noninvasive cancer *** develop an effective hyperthermia treatment,thermal cytotoxicity of cells should be comprehensively ***,to conduct such investigations,the culture temperature must be accurately *** previously reported a culture system in which the culture temperature could be accurately regulated by employing metallic culture ***,appropriate temperature conditions for hyperthermia depend on the cell ***,several experiments need to be conducted,which is a bottleneck of inducing ***,we developed a cell culture system with temperature gradation on a metallic culture *** Cancer Foundation-7 cells and normal human dermal fibroblasts were used as cancer and normal cell models,*** cells showed stronger thermal tolerance;this was because the novel system immediately exhibited a temperature ***,the developed culture system can be used to investigate the optimum thermal conditions for effective hyperthermia ***,as the reactions of cultured cells can be effectively assessed with the present results,further research involving the thermal stimulation of cells is possible.
Blockchain technology has gained significant attention for its ability to provide a decentralized and immutable platform for various applications. In this paper, we propose a Blockchain based Decentralized Case Manage...
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This article introduces a novel approach to data structure visualization through the development of a new programming language, utilizing Python's Lex-YACC library for lexical analysis and parsing, and the Turtle ...
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MAESTRO-EP (Multi-Architecture Ensemble System for Temporal Reasoning and Outcome Prediction in Event Processing) is an innovative deep learning framework designed to model and predict outcomes in complex event-driven...
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The healthcare industry produces a large amount of patient data, which makes it possible to use a variety of analytical techniques on a large dataset. A predictive system that can recognize several diseases at once ha...
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