Indian Institute of Technology Indore

About: Indian Institute of Technology Indore is a education organization based out in Indore, Madhya Pradesh, India. It is known for research contribution in the topics: Fading & Support vector machine. The organization has 1606 authors who have published 4803 publications receiving 66500 citations.

Donor–acceptor substituted 1,8-naphthalimides: design, synthesis, and structure–property relationship

Abstract: Research on developing new donor–acceptor (D–A) substituted 1,8-naphthalimide (NI) based molecular systems is a rapidly growing research area, which has resulted in several technological applications including fluorescent dyes, laser dyes, brightening agents, metal sensors, pH sensors, bioimaging, organic photovoltaics (OPVs), organic light-emitting diodes (OLEDs), and many more. The functionalization of the NI unit at the N-imide site and aromatic core is easy and cost-effective, which allows one not only to produce a vast array of NI derivatives but also tune its photophysical and electronic properties. The photophysical and electrochemical properties of D–A based NIs are dependent on the substitution pattern and the nature of the donor unit, which makes them prime derivatives for application in organic photonics and electronics as well as in biological studies. In this review, we have discussed the recent developments in the design, synthesis, and applications of D–A based NIs. The photonic and electronic properties of D–A based NIs are also discussed. This review will be helpful in generating potential strategies for tuning the photophysical and electronic properties of D–A based NIs for optoelectronic applications.

Non-identical multiplexing promotes chimera states

Abstract: We present the emergence of chimeras, a state referring to coexistence of partly coherent, partly incoherent dynamics in networks of identical oscillators, in a multiplex network consisting of two non-identical layers which are interconnected. We demonstrate that the parameter range displaying the chimera state in the homogeneous first layer of the multiplex networks can be tuned by changing the link density or connection architecture of the same nodes in the second layer. We focus on the impact of the interconnected second layer on the enlargement or shrinking of the coupling regime for which chimeras are displayed in the homogeneous first layer. We find that a denser homogeneous second layer promotes chimera in a sparse first layer, where chimeras do not occur in isolation. Furthermore, while a dense connection density is required for the second layer if it is homogeneous, this is not true if the second layer is inhomogeneous. We demonstrate that a sparse inhomogeneous second layer which is common in real-world complex systems, can promote chimera states in a sparse homogeneous first layer.

A Comparative Study of Machine Learning Techniques for Credit Card Fraud Detection Based on Time Variance

Abstract: This paper proposes a comparative performance of ten different machine learning algorithms, done on a credit card fraud detection application. The machine learning methods have been classified into two groups namely classification algorithms and ensemble learning group. Each group is comprised of five different algorithms. Besides, the 'Time' feature is introduced in the data set and performances of the algorithms are studied with and without the 'Time' feature. Two algorithms of the ensemble learning group have been found to perform better when the used dataset does not include the 'Time' feature. However, for the classification algorithms group, three classifiers are found to show better predictive accuracies when all attributes are included in the used dataset. The rest of the machine learning models have approximate similar scores between these datasets.

Dual targeting of 3CLpro and PLpro of SARS-CoV-2: A novel structure-based design approach to treat COVID-19.

Abstract: With the rapid growth of the COVID-19 (coronavirus disease 2019) pandemic across the globe, therapeutic attention must be directed to fight the novel severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2). However, developing new antiviral drugs and vaccine development is time-consuming, so one of the best solutions to tackle this virus at present is to repurpose ready-to-use drugs. This paper proposes the repurposing of the Food and Drug Administration (FDA)-approved, purchasable, and naturally occurring drugs as a dual-inhibitor for the SARS-CoV-2 cysteine proteases-3Chemotrypsin-like protease or main protease (3CLpro or Mpro) and Papain-like protease (PLpro)-that are responsible for processing the translated polyprotein chain from the viral RNA-yielding functional viral proteins. For virtual screening, an unbiased, blind docking was performed, which produced the top six dual-inhibition candidates for 3CLpro and PLpro. The six repurposed drugs that have been proposed block the catalytic dyad His41 and Cys145 of 3CLpro as well as the catalytic triad Cys111, His272, and Asp286 along with oxyanion hole-stabilizing residue Trp106 of PLpro in the crystal structure. Repurposing such naturally occurring drugs will not only pave the way for rapid in vitro and in vivo studies to battle the SARS-CoV-2 but will also expedite the quest for a potent anti-coronaviral drug.