MOLECULAR IDENTIFICATION OF HYMENOPTERAN INSECTS COLLECTED BY USING MALAISE TRAPS FROM HAZARGANJI CHILTAN NATIONAL PARK QUETTA, PAKISTAN.

Molecular identification of Hymenopteran insects collected by using Malaise traps from Hazarganji Chiltan National Park Quetta, Pakistan.

The order Hymenoptera holds great significance for humans, particularly in tropical and subtropical regions, due to its role as a pollinator of wild and cultivated flowering plants, parasites of destructive insects and honey producers.Despite this importance, limited attention has been given to the genetic diversity and molecular identification of

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Control of Ripple Eliminators to Improve the Power Quality of DC Systems and Reduce the Usage of Electrolytic Capacitors

The problem of voltage/current ripples has become a primary thin mantel shelf power quality issue for dc systems, which could seriously degrade the performance on both the source side and the load side and lead to reliability concerns.In this paper, a single-phase Pulse width modulation-controlled rectifier is taken as an example to investigate how

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DM_CorrMatch: a semi-supervised semantic segmentation framework for rapeseed flower coverage estimation using UAV imagery

Abstract Rapeseed (Brassica napus L.) inflorescence coverage is a crucial phenotypic parameter for assessing crop growth and estimating yield.Accurate crop cover assessment is typically performed using Unmanned Aerial Vehicles (UAVs) in combination with semantic segmentation methods.However, the irregular and variable morphology of rapeseed inflore

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Domain Adaptation via Low Rank and Class Discriminative Representation for Autism Spectrum Disorder Identification: A Multi-Site fMRI Study

To construct a more effective model with good generalization performance for inter-site autism spectrum disorder (ASD) diagnosis, domain adaptation based ASD diagnostic models are proposed to alleviate the inter-site heterogeneity.However, most existing methods only reduce the marginal distribution difference without considering class discriminativ

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