Mesochorinae is a relatively small but widely distributed subfamily of Ichneumonidae, with most species occurring in the Neotropical Region. Currently, there are two classifications in use regarding mesochorine genera, causing numerous taxonomic conflicts. To resolve nomenclature conflicts, seven new replacement names and twelve new combinations are proposed for species now recognized as members of Mesochorus Gravenhorst. Herein the synonymy of Plectochorus Uchida and Stictopisthus Thomson with the genus Mesochorus s. lat. is reaffirmed, supported by the following shared character states: transverse subantennal carina partially or completely developed; supraclypeal area evenly convex, without median protrusion; clypeus not separated from supraclypeal area by depression or groove; and hind wing without vein Cu1b. An updated key to the World genera of Mesochorinae is also presented.
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http://dx.doi.org/10.11646/zootaxa.4521.1.2 | DOI Listing |
Medicina (Kaunas)
January 2025
Department of Anesthesiology and Intensive Care, Astana Medical University, Astana 010000, Kazakhstan.
This case report highlights the use of continuous infusion of meropenem in a 42-year-old septic female patient with periprosthetic infection and end-stage renal disease receiving prolonged intermittent renal replacement therapy (PIRRT). Antibiotic infusion in patients receiving renal replacement therapy has its own peculiarities. There are many studies on the optimal dosing regimen for meropenem in renal dysfunction, but studies on the optimal infusion duration in these patients are limited.
View Article and Find Full Text PDFSci Rep
January 2025
Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, 100192, China.
Object detection is crucial for remote sensing image processing, yet the detection of small objects remains highly challenging due to factors such as image noise and cluttered backgrounds. In response to this challenge, this paper proposes an improved network, named SED-YOLO, based on YOLOv5s. Firstly, we leverage Switchable Atrous Convolution (SAC) to replace the standard convolutions in the original C3 modules of the backbone network, thereby enhancing feature extraction capabilities and adaptability.
View Article and Find Full Text PDFAnn Clin Lab Sci
November 2024
Department of Pathology, Dongguan Maternal and Child Health Care Hospital, Dongguan, Guangdong, China.
Objective: To investigate the effects of the exosomal miR-494 targeting phospholipinositol 3-kinase (PI3K)/protein kinase B (AKT)/rapamycin target protein (mTOR) pathway on proliferation, migration, and invasion of trophoblast cells.
Methods: Decidual macrophages were randomly divided into control group, mimic NC group, miR-494 mimic group, inhibitor NC group, and miR-494 inhibitor group. Each group was transfected with corresponding miR-494 mimic NC, miR-494 mimic, and inhibitor NC and miR-494 inhibitor, while the cells of control group were only replaced with fresh medium.
Int J Biol Macromol
January 2025
School of Life Science, Shanxi University, Taiyuan, Shanxi Province, China. Electronic address:
Overuse of antibiotics has led to the emergence of drug-resistant bacteria and environmental problems. Antimicrobial peptides (AMPs) and silver nanoparticles (AgNPs) can potentially replace antibiotics. Therefore, it is possible to create composite nanostructures with synergistic bactericidal properties by combining AgNPs and AMPs.
View Article and Find Full Text PDFBioengineering (Basel)
January 2025
Department of Software Technology, Konkuk University, Chungju 27478, Republic of Korea.
The timely and accurate detection of brain tumors is crucial for effective medical intervention, especially in resource-constrained settings. This study proposes a lightweight and efficient RetinaNet variant tailored for medical edge device deployment. The model reduces computational overhead while maintaining high detection accuracy by replacing the computationally intensive ResNet backbone with MobileNet and leveraging depthwise separable convolutions.
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