Results 231 to 240 of about 737,238 (261)
ABSTRACT Bacteria of the order Rickettsiales comprise a diverse group of obligate intracellular microorganisms that are globally distributed and highly prevalent in tropical and subtropical regions. In South America, these bacteria have been associated with arthropod vectors, such as ticks, fleas, mites, lice, and certain dipterans, as well as with a ...
Cristian J. Zamorano‐Gómez +3 more
wiley +1 more source
Structural studies on the complex that CDC25B C473S (CDC25B‐S) forms with the 3‐O‐methylfluorescein phosphate (3‐OMFP) reveal how the fluorogenic substrate binds CDC25B‐S, engaging key binding regions and inducing structural adjustments that stabilize the protein.
Romualdo Troisi +5 more
wiley +1 more source
What are the available data on incidence & prevalence prognosis risk factors of severity of sickle cell disease in sub‐Saharan Africa? ABSTRACT Sickle Cell Disease (SCD) is highly prevalent in sub‐Saharan Africa. Epidemiological data remain sparse, but regional screening and research initiatives are expanding.
Brigitte Ranque +2 more
wiley +1 more source
Assessment of Nano-Formulated Conventional Insecticide-Treated Sugar Baits on Mosquito Control and the Effect on Non-Target Aphidophagous Coccinella septempunctata. [PDF]
Farhan M +5 more
europepmc +1 more source
Molecular bases of insect odorant receptor function: specificity and evolution
ABSTRACT Insect odorant receptors (ORs) are a class of chemoreceptors that insects use to detect volatile cues in their environment. In recent years, major advances in the field of structural biology have made it possible to obtain the first structures of insect ORs.
Zibo Li +5 more
wiley +1 more source
Infection Risk From Humans and Animals in the Anatomy Laboratory: A Scoping Review
ABSTRACT Whole‐body dissection is a cornerstone of anatomy education. During and following the COVID‐19 pandemic, exposure to infectious agents and other risks of dissection were highlighted. To identify potential risks, one must have the data outlining these risks in specific situations.
Margaret A. McNulty, Elizabeth R. Agosto
wiley +1 more source
Machine Vision–Based Insect Recognition in Agriculture: A Comprehensive Review
This study explores machine vision for automated insect recognition in agriculture, leveraging deep learning and IoT integration. The review highlights real‐time pest detection methods, enhancing crop protection with minimal pesticide use. Comparative analysis of classifiers provides insights into performance and future advancements in sustainable ...
Mohammad Monirul Islam +4 more
wiley +1 more source
ABSTRACT Background The Democratic Republic of Congo (DRC) faces a “triple burden” of public health threats which includes climate change, protracted armed conflict, and the under‐recognized spread of arboviral diseases. Arboviruses, such as dengue, chikungunya, Zika, and yellow fever, are transmitted by Aedes aegypti and Aedes albopictus mosquitoes ...
Stanis Donnang +8 more
wiley +1 more source
Climate‐Driven Advanced Machine Learning Approach for Dengue Incidence Forecasting in Bangladesh
ABSTRACT Background and Aims Dengue fever has become a significant and an increasing public health menace in Bangladesh. Despite the abundance of research on the dengue outbreaks, the majority of the studies are limited by the short‐term time frame of research, a narrow scope, or to one modeling methodology.
Omar Faruk
wiley +1 more source

