In this paper, compact terahertz (THz) metachips for hyperspectral screening and quantitative evaluation of human cancer cells is reported. This pixelated resonant metachips feature the resonance channel from 1 and3 ...
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In this paper, compact terahertz (THz) metachips for hyperspectral screening and quantitative evaluation of human cancer cells is reported. This pixelated resonant metachips feature the resonance channel from 1 and3 THz frequency with a record-high quality factor (up to 230). Through the interactions of various cancer cells of different concentrations, high-dimensional spectral signatures are obtained, which are further transformed into a spatialmap for labelling and quantification purposes. The screening of up to 15 cancer cells is experimentally reported, with very high detecting accuracy of 93.33% and with attractive quantitative concentration sensitivity up to 1320 kHz cell mL-1. This hyperspectral metachips are low-cost, highly compact, and label-free for fast, high-throughput and high-sensitivity detections and evaluation of human cancer cells. This technology does not require clinical experience, representing an accessible technology for early diagnosis of cancer.
Metaheuristic algorithms due to flexibility can be applied to a wide range of complex engineering optimization problems. The effectiveness, efficiency, and adaptability of such algorithms can significantly be enhanced...
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Metaheuristic algorithms due to flexibility can be applied to a wide range of complex engineering optimization problems. The effectiveness, efficiency, and adaptability of such algorithms can significantly be enhanced through the modified variants. In this paper a novel modified bat algorithm (MoBA) using the concept of expectation value is proposed and evaluated using different benchmark functions, and then compared and ranked among other previously improved variants. Subsequently, the proposed MoBA was hybridized with a pretrained multitask adaptive deep learning model to generate 3dspatial subsurface mapping of geothermal temperatures in Catalonia, Spain. The success, effectiveness and superiority of the presented MoBA in compare with previously modified firefly algorithm was confirmed using different accuracy performance criteria by at least 1.71% improvement.
due to the complex working environment, limited vision, and complicated crane operations, the crane operator faces two major problems when constructing with a crane: safety and working efficiency. Every year, numerous...
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due to the complex working environment, limited vision, and complicated crane operations, the crane operator faces two major problems when constructing with a crane: safety and working efficiency. Every year, numerous accidents occur, the majority of which are the result of the crane operator's inability to acknowledge hidden hazards. Some of these accidents can be effectively avoided through a comprehensive and intuitive display of important visual information to the crane operator. In this research, one of the most important safety-related visual information, namely the working area limit line, is provided on the acquisition of a crane's 3d spatial map based on a top-view camera. The purpose is achieved firstly by a real-time scene reconstruction of a visual simultaneously location andmapping approach semi-direct visual odometry and regularized monocular depth estimation. Then the working area limit line is shown on the top-view image according to the reconstructed3d spatial map. The working area limit line can be successfully and precisely shown in the top-view image in both simulation and field experiments. The augmented top-view image with a working area limit line can help the crane operator notice the hidden hazards of outreaching the crane's working limit and improve the operation efficiency. The hazard of crane overturn can be effectively avoided with the displayed result. Based on the proposed approach, much more safety and operation related visual information can be displayed according to the 3d spatial map and classified operation stages in our future work.
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