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Articles by Sujit Roy
Correction: Characterization of an AGAMOUS-like MADS Box Protein, a Probable Constituent of Flowering and Fruit Ripening Regulatory System in Banana
Loading metrics After this article [1] was published, concerns were raised regarding Fig 6. Specifically, panels I-IV in Fig 6F appear similar to panels I-IV in Fig 6G. The corresponding author stated that panels I-IV in Fig 6F are incorrect and provided a corrected version of Figure 6 including replacement image panels for 6F that were acquired in the original experiment. The available underlying images for all panels of Figs 6F and 6G have been included with this notice as S1 File.
WxC-Bench: A Novel Dataset for Weather and Climate Downstream Tasks - Scientific Data
Abstract High-quality openly-accessible machine learning (ML)-ready datasets play a foundational role in developing new artificial intelligence (AI) models or fine-tuning existing models for scientific applications such as weather and climate analysis. However, despite the growing development of new deep learning models for weather and climate, there is a scarcity of curated, pre-processed ML-ready datasets.
SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction - Scientific Data
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Abstract This paper introduces a high resolution, machine learning-ready heliophysics dataset derived from NASA’s Solar Dynamics Observatory (SDO), specifically designed to advance machine learning (ML) applications in solar physics and space weather forecasting. The dataset includes processed imagery from the Atmospheric Imaging Assembly (AIA) and Helioseismic and Magnetic Imager (HMI), spanning a solar cycle from May 2010 to December 2024.
By Sujit Roy, Johannes Schmude, Rohit Lal, Vishal Gaur, Amy Lin, Talwinder Singh, Andres Munoz-Jaramillo, Chetraj Pandey, Jinsu Hong, Berkay Aydin, Ryan McGranaghan, Spiridon Kasapis, Vishal Upendran, Shah Mohammad Bahauddin, Daniel Da Silva, Marcus Freitag, Iksha Gurung, Nikolai V. Pogorelov, Campbell Watson, Manil Maskey, Juan Bernabé-Moreno, Rahul Ramachandran, Dinesha V. Hegde, Kshitiz Mandal
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Nature
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Finetuning AI Foundation Models to Develop Subgrid‐Scale Parameterizations: A Case Study on Atmospheric Gravity Waves
1 Introduction Accurate prediction of future climate is a trillion-dollar challenge with critical consequences for the world economy, food security, global health, and urban planning. Currently, state-of-the-art climate projections are highly uncertain, and much of the inherent model uncertainty stems from approximations made in subgrid-scale parameterizations (Lee et al., 2023; Morrison & Lawrence, 2020).
Landslide Hazard Mapping with Geospatial Foundation Models: Geographical Generalizability, Data Scarcity, and Band Adaptability
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Offline Performance of a Nonlocal Deep Learning Parameterization for Climate Model Representation of Atmospheric Gravity Waves
Advancing Hurricane Forecasting With AI Models for Track and Intensity Prediction
1 Introduction Landfalling hurricanes can cause hundreds of deaths and billions of dollars in damage, making hurricane forecasting a critical component of operational meteorology (Gladwin et al., 2007; Gopalakrishnan et al., 2002). It plays a key role in both emergency preparedness and disaster management (Merz et al., 2020; Uccellini & Ten Hoeve, 2019).
Utilising Machine Learning Approaches for Enhanced Landslide Susceptibility Mapping in Sikkim, India
Conflicts of Interest The authors declare no conflicts of interest. References , , , , and . 2021. “Factors Affecting Landslide Susceptibility Mapping: Assessing the Influence of Different Machine Learning Approaches, Sampling Strategies and Data Splitting.” Land 10, no. 9: 989. https://doi.org/10.3390/land10090989. , , and . 2021.
Full article: Assessing thermal power effluent-induced air quality and associated environmental stress on Blumea lacera and Phyla nodiflora using chemometric, remote sensing and machine learning approach
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. ABSTRACT Human interventions leading to effluent generation, which are critical threats to the environment. The Kolaghat Thermal Power Plant emits daily 7,500–8,000 metric tonnes of fly ash.
Prithvi WxC: Foundation Model for Weather and Climate
Papers Published on Sep 20 · Submitted by akhaliq on Sep 23 #3 Paper of the day Abstract Triggered by the realization that AI emulators can rival the performance of traditional numerical weather prediction models running on HPC systems, there is now an increasing number of large AI models that address use cases such as forecasting, downscaling, or nowcasting.
SnCl2 Catalyzed Multicomponent Coupling: Synthesis of 1,3-Oxazolidine Derivatives Using Paraformaldehyde as a C1 Feedstock
SnCl2 Catalyzed Multicomponent Coupling: Synthesis of 1,3-Oxazolidine Derivatives Using Paraformaldehyde as a C1 Feedstock SnCl2 catalyzed three-component coupling of aniline, epoxide, and paraformaldehyde resulted in the synthesis of 1,3-oxazolidine derivatives. The reaction is simple and does not require any additive, base, or oxidant, and proceeds under moderate temperature with good functional group tolerance.
Retraction Note: SOG1 transcription factor promotes the onset of endoreduplication under salinity stress in Arabidopsis - Scientific Reports
Retraction of: Scientific Reports https://doi.org/10.1038/s41598-021-91293-1, published online 02 June 2021 The Editors have retracted this Article. After publication, concerns were raised regarding the data presented in the figures.
3-epicaryoptin induces G2/M phase cell cycle arrest and apoptosis in human breast cancer cells by disrupting the microtubule network, an in vitro and in silico investigation
Abstract Breast cancer (BC) is a prevalent form of cancer observed in women across the globe, constituting over a quarter of all female BC cases. The treatment of BC continues to require significant efficacy, aiming to achieve high success rates while minimizing adverse effects on the body as a whole. In the current study, 3-epicaryoptin was tested for the molecular mechanism of its anti-cancer activity in the human breast cancer cell line, MCF-7.
Aminocarbonylation Reaction Using a Pd-Sn Heterobimetallic Catalyst: Three-Component Coupling for Direct Access of the Amide Functionality
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Aminocarbonylation Reaction Using a Pd-Sn Heterobimetallic Catalyst: Three-Component Coupling for Direct Access of the Amide Functionality
A heterobimetallic “Pd–Sn” catalyst, namely, PdCl(PPh3)2SnCl3, efficiently catalyzes the aminocarbonylation reaction of aryl iodides with amines under the atmospheric pressure of CO in the absence of a base and additive. Primary, secondary, and alkyl amines all afforded the corresponding amides in good to excellent yields with high selectivity. A broad range of functional groups were tolerated.
Google Earth Engine: MSI: Layer error: User memory limit exceeded
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Pd-Sn Heterobimetallic Catalyst for Carbonylative Suzuki, Sonogashira and Aminocarbonylation Reactions using Chloroform as CO Surrogate
Pd-Sn Heterobimetallic Catalyst for Carbonylative Suzuki, Sonogashira and Aminocarbonylation Reactions using Chloroform as CO Surrogate Anuradha Mohanty, Mukesh Kumar Nayak and Sujit Roy Abstract Herein, we report a heterobimetallic Pd-Sn catalyst for the carbonylative Suzuki coupling, aminocarbonylation reaction, and carbonylative Sonogashira coupling of aryl halides with boronic acid, amine, and aromatic alkyne leading to a three-component coupling reaction using insitu generated carbon...
NHC as a Ligand in Heterobimetallic Catalysis: An Insight into a Catalytic Friedel-Crafts-like Reaction
The calculation of local reactivity descriptors, namely, local electron density and the Fukui function index for nucleophilic attack at a center, established that in transition metal–tin heterobimetallic complexes, N-heterocyclic carbene (NHC) is a better ligand than its alkene and phosphine analogues for the coupling of C–H and C–OH bonds.
Buy Research: Structure, Process and Behaviour Book Online at Low Prices in India
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All Roads Lead to Rome: Chronicle of Hindu Death Foretold
CHAPTER 1. A GARDEN ENVISIONED THE ROMAN EMPIRE, 4th Century CE “At the moment when Constantine had supposedly seen the flaming cross, the vast majority of the empire was not Christian. It has been estimated that Christians made up as little as between seven and ten percent of the empire’s total population”. THE INDIAN REPUBLIC, 20th Century CE “At the moment when Nehru had his tryst with destiny the vast majority of the nation was not Abrahamic.
Glaser–Hay hetero-coupling in a bimetallic regime: a Ni(II)/Ag(I) assisted base, ligand and additive free route to selective unsymmetrical 1,3-diynes
A. Mohanty and S. Roy, Chem. Commun., 2017, Advance Article , DOI: 10.1039/C7CC05605B If you are not the author of this article and you wish to reproduce material from it in a third party non-RSC publication you must formally request permission using RightsLink. Go to our Instructions for using RightsLink page for details.
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