Imipenem exposure influences the expression of quorum-sensing receptor sdiA in Escherichia coli.

The increasing trend of carbapenem resistance amongst Escherichia coli poses a major public health crisis and requires active surveillance of resistance mechanisms to control the threat. Quorum-sensing system plays a role in bacterial resistance to antibiotics. Quorum sensing is a cell-cell communication system where bacteria alter their gene expression in response to specific stimuli.

Bioaccumulation of Deltamethrin and Piperonyl butoxide in Labeo rohita fish.

Deltamethrin (DLM), in combination with the synergist piperonyl butoxide (PBO), is extensively used in pest control programs due to its potent pesticidal properties and appreciable safety margin. However, various research studies report their adverse effects on non-target organisms. In this study, we investigated the toxicity of DLM, PBO, and a DLM-PBO (3:1) combination on Labeo rohita (L.

Efficient simulation of potential energy operators on quantum hardware: a study on sodium iodide (NaI).

This study introduces a conceptually novel polynomial encoding algorithm for simulating potential energy operators encoded in diagonal unitary forms in a quantum computing machine. The current trend in quantum computational chemistry is effective experimentation to achieve high-precision quantum computational advantage. However, high computational gate complexity and fidelity loss are some of the impediments to the realization of this advantage in a real quantum hardware.

A complexity efficient penta-diagonal quantum smoothing filter for bio-medical signal denoising: a study on ECG.

Extracting information-bearing signal from a noisy environment has been a practical challenge in both classical and quantum computing formalism, especially in critical signal processing applications. To filter out the effect of noise, we propose a quantum smoothing filter built upon quantum formalism-based circuits applied for electrocardiogram signal denoising. The proposed quantum filter is a conceptually novel framework with an advantage in computational complexity as compared to the existing classical filters, such as discrete wavelet transform and empirical mode decomposition, whereas it achieves similar performance metrics for the accuracy of the filter.