25,589 research outputs found
Data for High-Throughput Screening of Perovskites for Catalysis by Mechanochemistry and Machine Learning
This contains all the data that will be generated during this project
Replication Data for RT05/19: Improving Photocatalysts That Recycle Microplastics to Fuels by Artificial Intelligence
This contains most of the data that was generated during this project
Data for SNAS ASEAN Postdoctoral Fellowship Project
This contains all the data that will be generated during this project
Data for Achieving 3D Visualisation as a Threshold Concept for Symmetry and Spectroscopy with Augmented and Virtual Reality
This contains all the data that will be generated during this project
Replication Data for Visible Light Driven Cascade Carbon-Carbon Bond Scission for Organic Transformations and Plastics Recycling
Raw data for Gazi, S.; Dokić, M.; Chin, K. F.; Ng, P.; Soo, H. S. Visible Light Driven Cascade Carbon-Carbon Bond Scission for Organic Transformations and Plastics Recycling, Adv. Sci. 2019, 6, 1902020
Replication Data for Hydrophobic Metal Halide Perovskites for Visible-Light Photoredox C-C Bond Cleavage and Dehydrogenation Catalysis
Data for Hong, Z.; Chong, W. K.; Ng, A. Y. R.; Li, M.; Ganguly, R.; Sum, T. C.; Soo, H. S.* Hydrophobic Metal Halide Perovskites for Visible-Light Photoredox C-C Bond Cleavage and Dehydrogenation Catalysis, Angew. Chem. Int. Ed. 2019, 58, 3456 – 3460
Data for Developing a public-private partnership by crowdfunding to create sustainable plastics upcycling technologies
This contains all the data that was generated during this project
Replication Data for Completely Solvent-free Protocols to Access Phase- Pure, Metastable Metal Halide Perovskites and Functional Photodetectors from the Precursor Salts
Replication data for Completely Solvent-free Protocols to Access Phase- Pure, Metastable Metal Halide Perovskites and Functional Photodetectors from the Precursor Salt
ECO-ETHICAL VIEWS OF TAGORE AND AMARTYA SEN
Desde que se otorgó el Premio Nobel de Economía a Amartya Sen, se han hecho muchos esfuerzos por destacar el pasado de Sen Shantiniketan y la afinidad de su visión mundial con la de Rabindranath Tagore. Desafortunadamente, es probable que un análisis más profundo revele que los puntos de vista de Amartya Sen -basados en el mundo occidental- sean diametralmente opuestos a los de Tagore -basado en la antigua perspectiva india mundial-, particularmente en lo que respecta al desarrollo sostenible y la vida ética humana. Este artículo se esfuerza por resaltar los aspectos contrastantes de las visiones del mundo de dos galardonados con el Premio Nobel de Bengala.
Abstract
Ever since the Nobel Prize in Economics was awarded to Amartya Sen, there has been much endeavour to highlight Sen’s Shantiniketan background and affinity of his world outlook with that of Rabindranath Tagore. Unfortunately, a deeper analysis is likely to reveal that Amartya Sen’s views (based on western world-outlook) are diametrically opposed to that of Tagore (based on ancient Indian world-outlook), particularly as regards sustainable development and eco-ethical human living. This article endeavours to highlight these contrasting aspects of the world-outlooks of two Bengali Nobel Laureates
Dataset to support the article "High-resolution 𝜙-OFDR using phase unwrap and nonlinearity suppression"
This dataset is used for realizing high resolution of phase-sensitive Optical Frequency Domain Reflectometer. It is associated with the research paper:
Guo Z, Yan J, Han G, Yu Y, Greenwood D and Marco J (2023) "High-Resolution φ-OFDR Using Phase Unwrap and Nonlinearity Suppression". Journal of Lightwave Technology, 41 (9), 2885-2891. (https://doi.org/10.1109/JLT.2023.3236775).
The data is presented as an excel file:
High_resolution_OFDR_using_phase_unwrap_and_nonlinearity_suppression.xlsx
This work was funded by High Value Manufacturing Catapult and the Engineer and Physical Sciences Research Council - EPSRC EP/V000624/1. The author Gaoce Han would like to acknowledge the China Scholarship Council for sponsoring.</span
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