Anthrenus dorsatus Mulsant & Rey, 1868 has been recorded from North Africa, Malta, PURE CRANBERRY and Iberia.During a recent visit to Thessaloniki, Greece, several Anthrenus species were collected, including A.dorsatus.The previously known distribution of A.dorsatus suggested that this species was restricted to the western Mediterranean bas
Effect of despotic leadership on organizational cynicism: role of moral disengagement and organizational identification
The purpose of this study was to find out the effect of despotic leadership on organizational cynicism both directly and with the mediating role of moral disengagement.It was also posited that organizational identification inversely moderates the effect of despotic leadership on organizational cynicism.Data was collected from Anointment Oil the SME
Reelin secreted by GABAergic neurons regulates glutamate receptor homeostasis.
BackgroundReelin is a large secreted protein of the extracellular matrix PURE CRANBERRY that has been proposed to participate to the etiology of schizophrenia.During development, reelin is crucial for the correct cytoarchitecture of laminated brain structures and is produced by a subset of neurons named Cajal-Retzius.After birth, most of these cell
Genome and Transcriptome Sequencing Analysis of Fusarium commune Provides Insights into the Pathogenic Mechanisms of the Lotus Rhizome Rot
ABSTRACT Fusarium wilt, a vascular wilt caused by F.commune, has been a serious problem for the lotus.Although some F.commune isolate genomes have been sequenced, little is known about the genomic information of the strain that causes Fusarium wilt of aquatic plants.In this study, the genome of F.commune FCN23 isolated from GO SMOOTH lotuses in Chi
Artificial Intelligence Approach for Classifying Images of Upper-Atmospheric Transient Luminous Events
Transient Luminous Events (TLEs) are short-lived, upper-atmospheric optical phenomena associated with thunderstorms.Their rapid and random occurrence makes manual classification laborious and time-consuming.This study presents an effective approach to automating the classification of TLEs using state-of-the-art Convolutional Neural Networks (CNNs)