Background: The flat bark beetles (Coleoptera: Cucujidae) is a small insect family with only about 70 species. Most of the species are distributed in Holarctic, Oriental and/or Australasian realms, while in South America, only six species have been recorded, including a single one known from Peru.
New Information: Two cucujid beetle species, Sharp, 1899 and Sharp, 1899, are recorded from South America for the first time. The species are recorded from the Pasco () and Cusco and Junín () Regions of Peru, based, in part, on data collected through the iNaturalist citizen science database. Habitats of both species are presented in photographs for the first time. A country-level checklist to Cucujidae species currently known from South America is provided.
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http://dx.doi.org/10.3897/BDJ.9.e62576 | DOI Listing |
A comprehensive revision is presented of the Oriental and Australasian diving beetle genus Sharp, 1882 (Coleoptera: Dytiscidae: Dytiscinae: Aciliini) and seven junior subjective synonyms are proposed. Balfour-Browne, 1939, is a junior subjective synonym of Heller, 1934; Vazirani, 1969, of (Crotch, 1872); Blanchard, 1843, of (Aubé, 1838); and Heller, 1934, , Sharp, 1882, , and Satô, 1978, of (Wehncke, 1876). Finally, Anand et al.
View Article and Find Full Text PDFZootaxa
May 2024
South Australian Museum; North Terrace; Adelaide; SA 5000; Australia.
In this contribution we describe and illustrate for the first time the larvae of three species of Platynectes Régimbart, 1879 (P. agallithoplotes Gustafson, Short & Miller, 2016, P. bakewelli (Clark, 1863), and P.
View Article and Find Full Text PDFAutism Res
November 2024
Department of Health Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
An autism diagnosis can be a critical milestone toward effective and affirming support. Despite the sharp increase in the number of studies focused on late diagnosis over the last 15 years, there remains no consensus as to what constitutes a late diagnosis of autism, with cutoffs ranging from infancy to middle adulthood. This preregistered systematic review evaluated (a) the field's current quantification of late diagnosis in autism, (b) how the threshold for late diagnosis varies as a function of demographic and population factors, and (c) trends over time.
View Article and Find Full Text PDFJ Thorac Oncol
August 2024
Thoracic Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
The International Association for the Study of Lung Cancer collaborated with the International Mesothelioma Interest Group to propose the first TNM stage classification system for diffuse pleural mesothelioma in 1995, accepted by the Union for International Cancer Control and the American Joint Committee on Cancer for the sixth and seventh edition stage classification manuals. The International Association for the Study of Lung Cancer Staging and Prognostic Factors Committee Mesothelioma Domain developed and analyzed an international registry of patients with pleural mesothelioma and updated TNM descriptors for the eighth edition of the stage classification system. To inform revisions for the forthcoming ninth edition of the TNM stage classification system, data submission was solicited for patients diagnosed between 2013 and 2022 with expanded data elements on the basis of the first project's exploratory analyses, including pleural thickness measurements, updated surgical nomenclature, and molecular markers.
View Article and Find Full Text PDFJCO Clin Cancer Inform
September 2023
Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, Centre for Health Informatics, Manchester Academic Health Science Centre, The University of Manchester, Manchester, United Kingdom.
Purpose: This discussion paper outlines challenges and proposes solutions for successfully implementing prediction models that incorporate patient-reported outcomes (PROs) in cancer practice.
Methods: We organized a full-day multidisciplinary meeting of people with expertise in cancer care delivery, PRO collection, PRO use in prediction modeling, computing, implementation, and decision science. The discussions presented here focused on identifying challenges to the development, implementation and use of prediction models incorporating PROs, and suggesting possible solutions.
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