SUSCEPTIBILITY OF RED MASON BEE LARVAE TO BACTERIAL THREATS DUE TO MICROBIOME EXCHANGE WITH IMPORTED POLLEN PROVISIONS

Susceptibility of Red Mason Bee Larvae to Bacterial Threats Due to Microbiome Exchange with Imported Pollen Provisions

Solitary bees are subject to a variety of pressures that cause severe population declines.Currently, habitat loss, temperature shifts, agrochemical exposure, and new parasites are identified as major threats.However, knowledge about detrimental bacteria is scarce, although they may disturb natural microbiomes, disturb nest environments, or harm the

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The Tendaguru Formation (Late Jurassic to Early Cretaceous, southern Tanzania): definition, palaeoenvironments, and sequence stratigraphy

The well-known Late Jurassic to Early Cretaceous Tendaguru Beds of southern Tanzania have yielded fossil plant remains, invertebrates Plumbing Parts and vertebrates, notably dinosaurs, of exceptional scientific importance.Based on data of the German-Tanzanian Tendaguru Expedition 2000 and previous studies, and in accordance with the international s

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Innovative Trends in the 6G Era: A Comprehensive Survey of Architecture, Applications, Technologies, and Challenges

While the fifth-generation mobile network is being commercialized worldwide, researchers have recently started looking towards the next generation, called the 6G network.Unlike 5G and previous Tracking generations of wireless technologies designed to improve network performance for greater bandwidth, lower latency, and greater reliability, 6G ecosy

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Using a machine learning approach to identify key prognostic molecules for esophageal squamous cell carcinoma

Abstract Background A plethora of prognostic biomarkers for esophageal squamous cell carcinoma (ESCC) that have hitherto been reported are challenged with low reproducibility due to high molecular heterogeneity of ESCC.The purpose of this study was to identify the optimal biomarkers for ESCC using machine learning algorithms.Methods Biomarkers rela

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