Functional diversity: a review on freshwater fish research

Abstract Functional diversity is an emergent approach in ecology that has been applied globally to better understand the relationships between organisms and the environment.However, assessing the functional diversity of freshwater fish is a challenge for scientists.Aiming to summarize the baby toys evolution of scientific knowledge on fish function

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Deep Learning Recognition of Orbital Angular Momentum Modes Over Atmospheric Turbulence Channels Assisted by Vortex Phase Modulation

Accurate recognition of orbital angular momentum (OAM) modes is a major challenge for OAM-based optical communications over atmospheric turbulence channels.The turbulence-induced distortions cause difficulties for the receiver to distinguish between Journal adjacent OAM modes.Deep learning, such as convolutional neural networks (CNN), has been a pr

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Seroepidemiology of bluetongue in South Bengal

Aim: With the aim of revealing the epidemiological intricacies of Hemp Wicks bluetongue (BT) in the southern part of West Bengal state, the present study was undertaken to assess seroprevalence of BT along with identification of the vector of the disease, i.e., Culicoides midges available in the region in their breeding season with conducive enviro

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Coping with Algorithmic Risks: How Internet Users Implement Self-Help Strategies to Reduce Risks Related to Algorithmic Selection

Algorithmic selection is omnipresent in various domains of our online everyday lives: it ranks our search results, curates our social media news feeds, or recommends videos to watch and music to listen to.This widespread application of algorithmic selection on the internet can be associated with risks like feeling surveilled (S), feeling exposed to

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