In this study, we show that rapid, reliable, and scalable custom-input colour patterning and eye-readable data storage can be achieved through high-throughput nanoimprinting-exposure-thermal-treatment (NETT) and thermal development and reshaping (TDR) techniques. The main impediment for commercial realization of high-resolution metasurfaces using NETT and TDR is the cost and speed of stamp origination as well as the quality and durability of the fabricated stamp. In order to accelerate the patterning process, lower the fabrication costs, and obtain patterns with high-resolution, we introduce and optimize a new method for origination of durable Ni stamps by electroplating on an SU-8 master fabricated according to custom-input colour patterns via NETT and TDR. In these processes, laser exposure is used to locally activate the generic RGB pixels fabricated on SU-8 via thermal nanoimprint lithography (NIL), according to the custom design. Upon TDR treatment, the exposed regions crosslink while the unexposed areas flatten. TDR is optimized to find the fastest processing condition that results in minimum nanocone height reduction and maximum diffraction efficiency. AFM results show that the TDR-processed nanocones in all red, green, and blue subpixels witness minimal shrinkage in comparison with the corresponding as-imprinted RGB pixels. Among three different sets of direct baking and ramping temperature TDR experiments, direct 55 °C-10 min TDR is found to be the optimal recipe. As a proof-of-concept, the originated stamp was employed to replicate colour images on PET and glass substrates using UV-thermal NIL. The reproduced colour image, photographed at pre-defined lighting and viewing angles, bears vivid diffractive colours with different RGB ratios that are in good match with the custom-input image. Furthermore, the red, green, and blue diffraction peaks from the TDR-55 °C-baked sample exhibit either trivial or no distinguishable difference as compared to the corresponding peaks in the as-imprinted sample.
Background: A large surge of intensive care unit (ICU) admissions leading to mortal outcome was observed in wave-2 of coronavirus disease 2019 (COVID-19) due to the higher virulence of the Delta variant of the COVID-19 virus, which led to the scarcity of resources in hospitals. This study was done to observe the clinical characteristics of COVID-19 patients with fatal outcome. Materials and methods: We conducted a retrospective cross-sectional study in adults with COVID-19 pneumonia having fatal outcome during wave-2 of COVID-19, and their clinical characteristics were studied. Results: Out of 136 patients included in the study, the most common risk factors leading to adverse outcome were in the male gender, age (middle and elderly), with hypertension and diabetes mellitus (DM) as predominant comorbidities, early onset dyspnea, high C-reactive protein (CRP), high neutrophil to lymphocyte ratio (NLR), high D-dimer, bilateral lower zone involvement of lungs in chest X-ray (CXR), and development of acute kidney injury (AKI). Conclusion: The characteristics of the severely ill COVID-19 patients highlighted in the study could help clinicians in the early identification and management of high-risk patients. This study would help with resource planning and preparation for further COVID-19 waves and future pandemics
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