Nishant Jain
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View article: Correction: FOXM1 requires IDH1 for late genes expression in mitotic cells
Correction: FOXM1 requires IDH1 for late genes expression in mitotic cells Open
View article: Training-efficient density quantum machine learning
Training-efficient density quantum machine learning Open
Quantum machine learning (QML) requires powerful, flexible and efficiently trainable models to be successful in solving challenging problems. We introduce density quantum neural networks, a model family that prepares mixtures of trainable …
View article: Quantum Fourier networks for solving parametric PDEs
Quantum Fourier networks for solving parametric PDEs Open
Many real-world problems, like modelling environment dynamics, physical processes, time series etc involve solving partial differential equations (PDEs) parameterised by problem-specific conditions. Recently, a deep learning architecture c…
View article: Benzothiazolo-quinazoline Congeners Function as Anti-microtubule Agents Triggering Mitotic Arrest in Cancer Cells
Benzothiazolo-quinazoline Congeners Function as Anti-microtubule Agents Triggering Mitotic Arrest in Cancer Cells Open
Background Antimicrotubule agents effectively block cancer spread and are routinely employed as front-line chemotherapeutics. But patients, who receive Paclitaxel, suffer from peripheral neuropathy, which not only lowers quality of life bu…
View article: Instance-Conditional Timescales of Decay for Non-Stationary Learning
Instance-Conditional Timescales of Decay for Non-Stationary Learning Open
Slow concept drift is a ubiquitous, yet under-studied problem in practical machine learning systems. In such settings, although recent data is more indicative of future data, naively prioritizing recent instances runs the risk of losing va…
View article: Improving Generalization via Meta-Learning on Hard Samples
Improving Generalization via Meta-Learning on Hard Samples Open
Learned reweighting (LRW) approaches to supervised learning use an optimization criterion to assign weights for training instances, in order to maximize performance on a representative validation dataset. We pose and formalize the problem …
View article: Learning Robust Multi-scale Representation for Neural Radiance Fields from Unposed Images
Learning Robust Multi-scale Representation for Neural Radiance Fields from Unposed Images Open
We introduce an improved solution to the neural image-based rendering problem in computer vision. Given a set of images taken from a freely moving camera at train time, the proposed approach could synthesize a realistic image of the scene …
View article: Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images
Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images Open
We introduce an improved solution to the neural image-based rendering problem in computer vision. Given a set of images taken from a freely moving camera at train time, the proposed approach could synthesize a realistic image of the scene …
View article: Post-translational modifications and their implications in cancer
Post-translational modifications and their implications in cancer Open
Post-translational modifications (PTMs) are crucial regulatory mechanisms that alter the properties of a protein by covalently attaching a modified chemical group to some of its amino acid residues. PTMs modulate essential physiological pr…
View article: Bombax ceiba calyx extract promotes insulin sensitivity in L6 myotubes and modulates glucose metabolism in BRL3A cells through multiple pathways: A cell metabolomics approach
Bombax ceiba calyx extract promotes insulin sensitivity in L6 myotubes and modulates glucose metabolism in BRL3A cells through multiple pathways: A cell metabolomics approach Open
Background: Bombax ceiba calyces are highly valued as a medicinal and nutritional vegetable, and have been traditionally used to treat various ailments. Recent studies have shown that extracts derived from Bombax ceiba calyces (BCE) can de…
View article: Quantum Fourier Networks for Solving Parametric PDEs
Quantum Fourier Networks for Solving Parametric PDEs Open
Many real-world problems, like modelling environment dynamics, physical processes, time series etc., involve solving Partial Differential Equations (PDEs) parameterised by problem-specific conditions. Recently, a deep learning architecture…
View article: Enhanced Stable View Synthesis
Enhanced Stable View Synthesis Open
We introduce an approach to enhance the novel view synthesis from images taken from a freely moving camera. The introduced approach focuses on outdoor scenes where recovering accurate geometric scaffold and camera pose is challenging, lead…
View article: COVID-19 vaccine equity and health equity conversations on Twitter.
COVID-19 vaccine equity and health equity conversations on Twitter. Open
This study used social network analysis and trending hashtags on Twitter to identify trends related to health and vaccine equity during the Omicron wave. The analysis was conducted using consumer-friendly platforms/tools such as the Health…
View article: UPLC-Q-TOf-MS Guided Identification of Indole Alkaloids from S. Netropsis IICTRSP-174 Isolated from Leh-Ladakh Soils and Bioactive Profile of Pimprinethine
UPLC-Q-TOf-MS Guided Identification of Indole Alkaloids from S. Netropsis IICTRSP-174 Isolated from Leh-Ladakh Soils and Bioactive Profile of Pimprinethine Open
View article: Selective classification using a robust meta-learning approach
Selective classification using a robust meta-learning approach Open
Predictive uncertainty-a model's self awareness regarding its accuracy on an input-is key for both building robust models via training interventions and for test-time applications such as selective classification. We propose a novel instan…
View article: Instance-Conditional Timescales of Decay for Non-Stationary Learning
Instance-Conditional Timescales of Decay for Non-Stationary Learning Open
Slow concept drift is a ubiquitous, yet under-studied problem in practical machine learning systems. In such settings, although recent data is more indicative of future data, naively prioritizing recent instances runs the risk of losing va…
View article: Robustifying the Multi-Scale Representation of Neural Radiance Fields
Robustifying the Multi-Scale Representation of Neural Radiance Fields Open
Neural Radiance Fields (NeRF) recently emerged as a new paradigm for object representation from multi-view (MV) images. Yet, it cannot handle multi-scale (MS) images and camera pose estimation errors, which generally is the case with multi…
View article: Who Influences Cancer Conversations on Twitter?: A Comparative Surveillance of Cancer Communications
Who Influences Cancer Conversations on Twitter?: A Comparative Surveillance of Cancer Communications Open
In this study, we used social network analysis to compare the Twitter social networks of top five cancers in the United States (as ranked by the CDC) to determine the key influencers in cancer-related conversations. We find that organizati…
View article: Graph neural network initialisation of quantum approximate optimisation
Graph neural network initialisation of quantum approximate optimisation Open
Approximate combinatorial optimisation has emerged as one of the most promising application areas for quantum computers, particularly those in the near term. In this work, we focus on the quantum approximate optimisation algorithm (QAOA) f…
View article: Heat Transfer and Fluid Flow in a Double Pipe Heat Exchanger, Part I: Experimental Investigation
Heat Transfer and Fluid Flow in a Double Pipe Heat Exchanger, Part I: Experimental Investigation Open
Double pipe heat exchangers have assumed importance over the years owing to their simple construction, ease of maintenance and cleaning, and extensive use in applications involving sensible heating or cooling of process fluids. In this pre…
View article: Abundance of <scp>d</scp>‐2‐hydroxyglutarate in G2/M is determined by FOXM1 in mutant IDH1‐expressing cells
Abundance of <span>d</span>‐2‐hydroxyglutarate in G2/M is determined by FOXM1 in mutant IDH1‐expressing cells Open
Isocitrate dehydrogenases (IDHs) are metabolic enzymes that are mutated in several cancers, resulting in overproduction of d ‐2‐hydroxyglutarate (D‐2HG). However, the signalling pathways and factors that regulate mutant IDHs or their metab…
View article: Exploiting SIFT Descriptor for Rotation Invariant Convolutional Neural\n Network
Exploiting SIFT Descriptor for Rotation Invariant Convolutional Neural\n Network Open
This paper presents a novel approach to exploit the distinctive invariant\nfeatures in convolutional neural network. The proposed CNN model uses Scale\nInvariant Feature Transform (SIFT) descriptor instead of the max-pooling layer.\nMax-po…
View article: Synthesis and Preliminary Antiproliferative Activity of Novel 4-Substituted Phenylsulfonyl Piperazines with Tetrazole Moiety
Synthesis and Preliminary Antiproliferative Activity of Novel 4-Substituted Phenylsulfonyl Piperazines with Tetrazole Moiety Open
A series of 1-substituted-1H-tetrazole-5-thiol building blocks were synthesized (6a–h) and coupled by S-alkylation with 2-bromo-1-(4-(substituted phenylsulfonyl)piperazin-1-yl)ethanone (4a–c) using triethylamine in ethanol under reflux con…
View article: New seco-limonoids from Cipadessa baccifera: Isolation, structure determination, synthesis and their antiproliferative activities
New seco-limonoids from Cipadessa baccifera: Isolation, structure determination, synthesis and their antiproliferative activities Open
View article: CCDC 1511980: Experimental Crystal Structure Determination
CCDC 1511980: Experimental Crystal Structure Determination Open
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available …
View article: CCDC 1028922: Experimental Crystal Structure Determination
CCDC 1028922: Experimental Crystal Structure Determination Open
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available …
View article: CCDC 1028923: Experimental Crystal Structure Determination
CCDC 1028923: Experimental Crystal Structure Determination Open
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available …
View article: CCDC 1028921: Experimental Crystal Structure Determination
CCDC 1028921: Experimental Crystal Structure Determination Open
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available …
View article: Synthesis, structural studies, and cytotoxic evaluation of novel ursolic acid hybrids with capabilities to arrest breast cancer cells in mitosis
Synthesis, structural studies, and cytotoxic evaluation of novel ursolic acid hybrids with capabilities to arrest breast cancer cells in mitosis Open
Some novel chemically modified frameworks of ursolic acid have been designed and synthesized. The key step was the cycloaddition of azidopropyl-3β-hydroxy-urs-12-en-28-oate with the appropriate C28 propargyl esters of ursolic, corosolic, a…
View article: Cross-tissue Analysis of Gene and Protein Expression in Normal and Cancer Tissues
Cross-tissue Analysis of Gene and Protein Expression in Normal and Cancer Tissues Open
The central dogma of molecular biology describes the translation of genetic information from mRNA to protein, but does not specify the quantitation or timing of this process across the genome. We have analyzed protein and gene expression i…