A taxonomic review of Korean Acrotona Thomson with a description of new species (Coleoptera, Staphylinidae, Aleocharinae).

Zootaxa

Division of Forest Biodiversity, Korea National Arboretum, Pocheon 11186, South Korea..

Published: May 2018

A taxonomic review of the Acrotona Thomson in the Korean Peninsula is presented. The genus is represented in Korea by seven species including a new species, Acrotona (Acrotona) koreana Lee Ahn, sp. nov. Two new synonyms are proposed: A. (A.) lutulenta (Sharp) = A. (A.) suyangsani Paśnik syn. nov., A. (A.) pseudotenera (Cameron) = A. (A.) paeksongricus Paśnik syn. nov. Three species [A. (A.) lutulenta (Sharp), A. (A.) pseudotenera (Cameron) and A. (A.) vicaria (Kraatz)] are reported for the first time in South Korea. A key, descriptions, habitus photographs and illustrations of the diagnostic characters are provided.

Download full-text PDF

Source
http://dx.doi.org/10.11646/zootaxa.4418.3.3DOI Listing

Publication Analysis

Top Keywords

taxonomic review
8
acrotona thomson
8
lutulenta sharp
8
paśnik syn
8
syn nov
8
pseudotenera cameron
8
review korean
4
acrotona
4
korean acrotona
4
thomson description
4

Similar Publications

Hearing loss in patients with Morquio A syndrome: A scoping review.

Medicine (Baltimore)

January 2025

Centro de Investigaciones en Anomalías Congénitas y Enfermedades Raras (CIACER), Universidad Iccesi, Cali, Colombia.

Background: Hearing impairment is a prevalent clinical feature in Morquio syndrome (mucopolysaccharidosis IVA or MPS IVA) patients, often presenting in diverse forms: conductive, sensorineural, or a combination known as mixed hearing loss. The mixed form entails a blend of both conductive and sensorineural elements, typically exhibiting a progressive trajectory. This scoping review aimed to comprehensively analyze available evidence pertaining to the pathophysiology, classification, epidemiology, and clinical management of hearing loss in individuals with MPS IVA.

View Article and Find Full Text PDF

Osteoarthritis (OA) is heterogeneous and involves structural changes in the whole joint, such as cartilage, meniscus/labrum, ligaments, and tendons, mainly with short T2 relaxation times. Detecting OA before the onset of irreversible changes is crucial for early proactive management and limit growing disease burden. The more recent advanced quantitative imaging techniques and deep learning (DL) algorithms in musculoskeletal imaging have shown great potential for visualizing "pre-OA.

View Article and Find Full Text PDF

Purpose: The double-flap technique (DFT) is an anti-reflux reconstruction procedure performed after proximal gastrectomy (PG), but its complexity and high incidence of anastomotic stenosis are problematic. We conducted this study to demonstrate the efficacy of robot-assisted DFT, with refinements, to address these issues.

Methods: Surgical outcomes were compared between the following procedures modified over time at our institution: conventional open DFT (group O, n = 16); early robotic DFT (group RE, n = 19), which follows the conventional open PG approach; and late robotic DFT (group RL, n = 21), which incorporates refinements to the early robotic DFT technique by exploiting more of the robotic capabilities available.

View Article and Find Full Text PDF

Introduction: This review aimed to investigate the inadvertent administration of antibiotics via epidural and intrathecal routes. The secondary objective was to identify the contributing human and systemic factors.

Methods: PubMed, Scopus and Google Scholar databases were searched for the last five decades (1973-2023).

View Article and Find Full Text PDF

Automated classification of coronary LEsions fRom coronary computed Tomography angiography scans with an updated deep learning model: ALERT study.

Eur Radiol

January 2025

Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands.

Objectives: The use of deep learning models for quantitative measurements on coronary computed tomography angiography (CCTA) may reduce inter-reader variability and increase efficiency in clinical reporting. This study aimed to investigate the diagnostic performance of a recently updated deep learning model (CorEx-2.0) for quantifying coronary stenosis, compared separately with two expert CCTA readers as references.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!