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Kiran Adhikari

Researcher at University of Houston

Publications -  15
Citations -  95

Kiran Adhikari is an academic researcher from University of Houston. The author has contributed to research in topics: Gene & Entropy (arrow of time). The author has an hindex of 3, co-authored 10 publications receiving 50 citations. Previous affiliations of Kiran Adhikari include University of the Ryukyus.

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Distal-less induces elemental color patterns in Junonia butterfly wings.

TL;DR: It is shown that ectopically expressed Dll induces ectopic elemental color patterns in the adult wings of the blue pansy butterfly, Junonia orithya, and suggests that Dll plays an instructive role in the development of color pattern elements in butterfly wings, although Dll alone may not be sufficient to induce a complete eyespot.
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Sex Chromosome Evolution in Muscid Flies.

TL;DR: Genomic and transcriptomic sequence data is used to identify young sex chromosomes in two closely related muscid species and provide evidence that the nascent sex chromosomes of horn fly and stable fly were derived independently from each other and from the youngSex chromosomes of the closely related house fly (Musca domestica).
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A Single-Wing Removal Method to Assess Correspondence Between Gene Expression and Phenotype in Butterflies: The Case of Distal-less

TL;DR: The novel methodology for establishing correspondence between gene expression and phenotype can be applied to other candidate genes for color pattern development in butterflies and suggest the weak and non-exclusive contribution of Dll to eyespot size determination in this butterfly.
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Cosmological Krylov Complexity

TL;DR: Krylov complexity (K) can be a significant probe for studying the dynamics of the cosmological system even after the saturation of entanglement entropy, and it is suggested that universe acts like a chaotic system during this period.

K rylov C omplexity in Q uantum F ield T heory

TL;DR: When Krylov basis matches with Fock basis, for several interesting settings, it is observed that the Krylov complexity equals the average particle number showing that complexity scales with volume.