Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Beena Rai"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Cortisol is established as a reliable biomarker for stress prompting intensified research in developing wearable sensors to detect it via eccrine sweat. Since cortisol is present in sweat in trace quantities, typically 8–140 ng/mL, develop
Externí odkaz:
https://doaj.org/article/7408a58cc5234bc682664bd330eb07f4
Publikováno v:
npj Materials Degradation, Vol 8, Iss 1, Pp 1-9 (2024)
Abstract The conventional approach to the discovery of corrosion inhibitors is time-consuming and requires a significant amount of resources. In the present study, we highlight the use of a first principles DFT-based approach to expedite the rational
Externí odkaz:
https://doaj.org/article/5b8910e8a62b435c8edebe05d135abc4
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Ideally, ripe fruits offer appropriate nutritional content and best quality in terms of taste and flavour. Prediction of ripe climacteric fruits acts as the main marketing indicator for quality from the consumer perspective and thus renders
Externí odkaz:
https://doaj.org/article/3706659d2e3d4af0be72e965e4649de1
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-7 (2023)
Abstract We apply a modified variational autoencoder (VAE) regressor for inversely retrieving the topological parameters of the building blocks of plasmonic composites for generating structural colors as per requirement. We demonstrate results of a c
Externí odkaz:
https://doaj.org/article/0825be2ec05348629c4afe7d3ddf847b
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Eccrine sweat is an ideal surrogate diagnostic biofluid for physiological and metabolic biomarkers for wearable biosensor design. Its periodic and non-invasive availability for candidate analytes such as glucose and cortisol along with limit
Externí odkaz:
https://doaj.org/article/4176cecf7dc2436e9f962641612500d2
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-6 (2021)
Abstract We report a neural network model for predicting the electromagnetic response of mesoscale metamaterials as well as generate design parameters for a desired spectral behavior. Our approach entails treating spectral data as time-varying sequen
Externí odkaz:
https://doaj.org/article/796cc93285054dd3ab74a27411802243
Publikováno v:
SN Applied Sciences, Vol 3, Iss 6, Pp 1-9 (2021)
Abstract This paper presents prediction of shelf-life of ‘Kesar’ cultivar of mangoes stored under specified conditions based on their respiration rate and ripeness levels. A deep-CNN was fine-tuned on 1524 image data of mangoes stored under diffe
Externí odkaz:
https://doaj.org/article/610b45765b4340429bb7ca33dd899f5c
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Refractory high entropy alloys (R-HEAs) are becoming prominent in recent years because of their properties and uses as high strength and high hardness materials for ambient and high temperature, aerospace and nuclear radiation tolerance appl
Externí odkaz:
https://doaj.org/article/55b695e08565401fbba916c51db67e26
Publikováno v:
Frontiers in Materials, Vol 8 (2021)
Hydrogen economy, wherein hydrogen is used as the fuel in the transport and energy sectors, holds significant promise in mitigating the deleterious effects of global warming. Photocatalytic water splitting using sunlight is perhaps the cleanest way o
Externí odkaz:
https://doaj.org/article/1666e8b79b3d4e59ab769d6e9f8480c3
Publikováno v:
KONA Powder and Particle Journal, Vol 22, Iss 0, Pp 151-158 (2014)
A molecular modeling based approach to design/selection of dispersants for colloidal processing of ceramics powders is presented. The validity and the utility of the proposed approach are illustrated with two case studies. The relative strength of in
Externí odkaz:
https://doaj.org/article/585b66ff8dc44b9ca462ed85fb955b85