Impact of COVID-19 pandemic on the mental health status among general masses: An in-deep analysis of the worst "hitters" of COVID-19 pandemic.

Background: A plethora of studies have reported the adverse psychiatric outcomes among the general masses during the COVID-19 pandemic; however, not much data is available in relation to the Indian population from this perspective. The aim of the present study was to investigate the impact of the COVID-19 pandemic on the mental health status among the general masses in the Indian population.

Materials And Methods: The present study was planned in a cross-sectional study design between July 2020 and October 2021 in which a well-structured questionnaire, consisting of questions assessing the sociodemographic profile, while, also, specific questions related to the stress and anxiety-related variables, was used.

Probing diffusive media through speckle differencing.

Temporally varying speckle patterns, produced by light-matter interaction encode valuable information about inhomogeneities embedded within a scattering medium. These speckle fluctuations arise either from the tuning of the emission frequency of a laser illuminating a static scattering medium or from the microscopic motion of scatterers within a dynamically scattering medium. In this work, we detect embedded inhomogeneities by probing static and dynamic scattering media with coherent light and leveraging the statistical distribution of temporal speckle differences.

Whale-optimized LSTM networks for enhanced automatic text summarization.

Automatic text summarization is a cornerstone of natural language processing, yet existing methods often struggle to maintain contextual integrity and capture nuanced sentence relationships. Introducing the Optimized Auto Encoded Long Short-Term Memory Network (OAELSTM), enhanced by the Whale Optimization Algorithm (WOA), offers a novel approach to this challenge. Existing summarization models frequently produce summaries that are either too generic or disjointed, failing to preserve the essential content.

Computational optical sensing and imaging: introduction to the feature issue.

This joint feature issue of Optics Express and Applied Optics showcases technical innovations by participants of the 2023 topical meeting on Computational Optical Sensing and Imaging and the computational imaging community. The articles included in the feature issue highlight advances in imaging science that emphasize synergistic activities in optics, signal processing and machine learning. The issue features 26 contributed articles that cover multiple themes including non line-of-sight imaging, imaging through scattering media, compressed sensing, lensless imaging, ptychography, computational microscopy, spectroscopy and optical metrology.

Computational Optical Sensing and Imaging: introduction to the feature issue.

This joint feature issue of Optics Express and Applied Optics showcases technical innovations by participants of the 2023 topical meeting on Computational Optical Sensing and Imaging and the computational imaging community. The articles included in the feature issue highlight advances in imaging science that emphasize synergistic activities in optics, signal processing and machine learning. The issue features 26 contributed articles that cover multiple themes including non line-of-sight imaging, imaging through scattering media, compressed sensing, lensless imaging, ptychography, computational microscopy, spectroscopy and optical metrology.