Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Anuj Saini"'
Publikováno v:
Analytical and Bioanalytical Chemistry.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09cba50f1bf9b3397a3bdf9ac213b5e4
https://doi.org/10.1007/s00216-023-04639-1
https://doi.org/10.1007/s00216-023-04639-1
Publikováno v:
Journal of Indian Business Research. 14:150-166
Purpose To test if the factors “reviewer location” and “time frame” have any impact on the prediction results when predicting online product ratings from user reviews. Design/methodology/approach Reviews and ratings are scraped for the produc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0165f8ebe03858d5b24fda958f030f0
https://doi.org/10.1108/jibr-02-2021-0080
https://doi.org/10.1108/jibr-02-2021-0080
Publikováno v:
Social Marketing Quarterly. 27:324-346
Background Corporate social marketing (CSM), as a type of corporate social initiative, is considered to be the most effective tool for creating social good through behavioural change. However, the relevance and benefits of CSM in the business context
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95d6f2b46272a59413bc8087065b8475
https://doi.org/10.1177/15245004211053858
https://doi.org/10.1177/15245004211053858
Publikováno v:
ACS Applied Materials & Interfaces. 13:2000-2006
We demonstrate that fluorogenic molecules that "turn-on" upon redox reactions can sense the corrosion of iron at the single-molecule scale. We first observe the cathodic reduction of nonfluorescent resazurin to fluorescent resorufin in the presence o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::753096cc45af2753d1295580f8df0e76
https://doi.org/10.1021/acsami.0c18994
https://doi.org/10.1021/acsami.0c18994
Autor:
Lydia Kisley, Anuj Saini
Publikováno v:
Microscopy and Microanalysis. 27:222-224
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e15548689f1d7e46add4c2001553454
https://doi.org/10.1017/s1431927621001392
https://doi.org/10.1017/s1431927621001392
Publikováno v:
Conference on Lasers and Electro-Optics.
Real-time, single-molecule “turn on” of resazurin by the corrosion of iron was detected by a modern fluorescence microscope to overcome the previous limitations of corrosion detection, opening up a new spatiotemporal regime for studying corrosion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34136e69e0ebe57f255c964315c2cb92
https://doi.org/10.1364/cleo_si.2021.sm3o.4
https://doi.org/10.1364/cleo_si.2021.sm3o.4
BACKGROUND Machine-learning or deep-learning algorithms for clinical diagnosis are inherently dependent on the availability of large-scale clinical datasets. Lack of such datasets and inherent problems such as overfitting often necessitate the develo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d8d838a38a1eb52dcf128704785a534
https://doi.org/10.2196/preprints.17550
https://doi.org/10.2196/preprints.17550
Autor:
Anuj Saini
Publikováno v:
IEEE BigData
With internet and social media breaking the ice, more and more people across the globe have started to use social media platforms like Facebook, Twitter, Instagram etc. Most people follow Multilingualism as a mode of communication to convey informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d21b9ed975ac8e9d7b8a5b16b8a2814
https://doi.org/10.1109/bigdata47090.2019.9005961
https://doi.org/10.1109/bigdata47090.2019.9005961
Autor:
Kenneth D. Singer, Kyle C. Peters, Sandra Pejić, Donald E. Schuele, Forrest S. Etheridge, Lei Gao, Anuj Saini, Geneviève Sauvé, Stuart D. Hellring
Publikováno v:
Organic Electronics. 53:332-338
An aqueous-based deposition of a semiconducting polymer using an electrolysis-based technique is demonstrated here. Regioregular poly (3-alkylthiophene) with a carboxylic acid group in the side chain was synthesized and dispersed in water with trieth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6b827ded2e748be2f87e20fb71851c7
https://doi.org/10.1016/j.orgel.2017.11.027
https://doi.org/10.1016/j.orgel.2017.11.027
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 4, p e17550 (2020)
Journal of Medical Internet Research
Journal of Medical Internet Research
Background Machine-learning or deep-learning algorithms for clinical diagnosis are inherently dependent on the availability of large-scale clinical datasets. Lack of such datasets and inherent problems such as overfitting often necessitate the develo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::796131abc6a2117f4eb4a14a377a053a
https://doi.org/10.2196/17550
https://doi.org/10.2196/17550