American Entomologist最新文献

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Mary Jane West-Eberhard: For the Pleasure of Wasps 玛丽·简·维斯特·埃伯哈德:为了黄蜂的快乐
American Entomologist Pub Date : 2022-06-01 DOI: 10.1093/ae/tmac033
M. Rice
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引用次数: 0
Guiding the Next Generation of Extension Professionals: There’s a Method to the Madness 指导下一代扩展专业人员:有一个疯狂的方法
American Entomologist Pub Date : 2022-06-01 DOI: 10.1093/ae/tmac036
D. Coyle, E. Hodgson
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引用次数: 0
Making Science Great Again? 让科学再次伟大?
American Entomologist Pub Date : 2022-06-01 DOI: 10.1093/ae/tmac032
Z. Szendrei
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引用次数: 0
Beetles in the Bush: A Bioblitz in Africa 丛林中的甲虫:非洲的生物闪电战
American Entomologist Pub Date : 2022-06-01 DOI: 10.1093/ae/tmac031
M. Rice
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引用次数: 0
Crop pollination by bees, Volume 1: Evolution, ecology, conservation, and management 蜜蜂授粉,第1卷:进化、生态学、保护和管理
American Entomologist Pub Date : 2022-06-01 DOI: 10.1079/9781786393494.0000
M. López-Uribe
{"title":"Crop pollination by bees, Volume 1: Evolution, ecology, conservation, and management","authors":"M. López-Uribe","doi":"10.1079/9781786393494.0000","DOIUrl":"https://doi.org/10.1079/9781786393494.0000","url":null,"abstract":"Abstract\u0000 This volume is intended as a practical guide to bees and how they pollinate essential crops, providing simple, succinct advice on how to increase bee abundance and pollination. It focuses on bees, their biology, coevolution with plants, foraging ecology and management, and gives practical ways to increase bee abundance and pollinating performance on the farm. This volume covers five groups of pollinating bees that are prominent in the crop pollination literature: honeybees (Chapter 7); bumble bees (Chapter 8); managed solitary bees including the alfalfa leafcutting, alkali and orchard mason bees (Chapter 9); wild bees (Chapter 2, Chapter 3 and Chapter 10); and the tropical stingless bees. This volume will be essential reading for farmers, horticulturists and gardeners, researchers and professionals working in insect ecology and conservation, and students of entomology and crop protection.","PeriodicalId":7426,"journal":{"name":"American Entomologist","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49503436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Sew-Sew Jokes Sew-Sew笑话
American Entomologist Pub Date : 2022-06-01 DOI: 10.1093/ae/tmac025
May R. Berenbaum
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引用次数: 0
James S. Miller (1953–2022): Remembering a Great Entomologist, Musician, and Friend 詹姆斯·s·米勒(1953-2022):缅怀一位伟大的昆虫学家、音乐家和朋友
American Entomologist Pub Date : 2022-06-01 DOI: 10.1093/ae/tmac035
D. Wagner, D. Grimaldi, L. Dyer, A. Kawahara
{"title":"James S. Miller (1953–2022): Remembering a Great Entomologist, Musician, and Friend","authors":"D. Wagner, D. Grimaldi, L. Dyer, A. Kawahara","doi":"10.1093/ae/tmac035","DOIUrl":"https://doi.org/10.1093/ae/tmac035","url":null,"abstract":"","PeriodicalId":7426,"journal":{"name":"American Entomologist","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48472048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Early-Career Parenting: Surviving, If Not Thriving 早期职业教育:生存,如果不是蓬勃发展
American Entomologist Pub Date : 2022-06-01 DOI: 10.1093/ae/tmac040
Katlyn A. Catron
{"title":"Early-Career Parenting: Surviving, If Not Thriving","authors":"Katlyn A. Catron","doi":"10.1093/ae/tmac040","DOIUrl":"https://doi.org/10.1093/ae/tmac040","url":null,"abstract":"","PeriodicalId":7426,"journal":{"name":"American Entomologist","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42194970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Managing of Migraine in the Workplaces: Knowledge, Attitudes and Practices of Italian Occupational Physicians. 工作场所偏头痛的管理:意大利职业医师的知识、态度和实践。
IF 2.4
American Entomologist Pub Date : 2022-05-22 DOI: 10.3390/medicina58050686
Matteo Riccò, Pietro Ferraro, Vincenzo Camisa, Pasquale Di Palma, Giuseppa Minutolo, Silvia Ranzieri, Salvatore Zaffina, Antonio Baldassarre, Vincenzo Restivo
{"title":"Managing of Migraine in the Workplaces: Knowledge, Attitudes and Practices of Italian Occupational Physicians.","authors":"Matteo Riccò, Pietro Ferraro, Vincenzo Camisa, Pasquale Di Palma, Giuseppa Minutolo, Silvia Ranzieri, Salvatore Zaffina, Antonio Baldassarre, Vincenzo Restivo","doi":"10.3390/medicina58050686","DOIUrl":"10.3390/medicina58050686","url":null,"abstract":"<p><p><i>Background and Objectives</i>: Migraine is a debilitating disorder, whose incidence peak in the age group of 30-39 years overlaps with the peak of employment years, potentially representing a significant issue for occupational physicians (OP). The present study was performed in order to characterize their knowledge, attitudes and practices on migraine in the workplaces. <i>Materials and Methods</i>: A convenience sample of 242 Italian OP (mean age 47.8 ± 8.8 years, males 67.4%) participated in an internet-based survey by completing a structured questionnaire. <i>Results</i>: Adequate general knowledge of migraine was found in the majority of participants. Migraine was identified as a common and severe disorder by the majority of respondents (54.0% and 60.0%). Overall, 61.2% of participants acknowledged migraine as difficult to manage in the workplace, a status that made it more likely for OP understanding its potential frequency (Odds Ratio [OR] 3.672, 95% confidence interval [95%CI] 1.526-8.831), or reported previous managing of complicated cases requiring conditional fitness to work judgement (OR 4.761, 95%CI 1.781-2.726). Moreover, professionals with a qualification in occupational medicine (OR 20.326, 95%CI 2.642-156.358), acknowledging the difficult managing of migraine in the workplaces (OR 2.715, 95%CI 1.034-7.128) and having received any request of medical surveillance for migraine (OR 22.878, 95%CI 4.816-108.683), were more likely to recommend specific requirements for migraineur workers. <i>Conclusions</i>: Migraine was recognized as a common disorder, but also as a challenging clinical problem for OP. Participating OP exhibited a substantial understanding of migraine and its triggers, but residual false beliefs and common misunderstanding may impair the proper management of this disorder, requiring improved and specifically targeted interventions.</p>","PeriodicalId":7426,"journal":{"name":"American Entomologist","volume":"55 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2022-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9144137/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82771165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
TransConver: transformer and convolution parallel network for developing automatic brain tumor segmentation in MRI images. TransConver:用于开发核磁共振成像图像中脑肿瘤自动分割的变换器和卷积并行网络。
IF 2.9
American Entomologist Pub Date : 2022-04-01 DOI: 10.21037/qims-21-919
Junjie Liang, Cihui Yang, Mengjie Zeng, Xixi Wang
{"title":"TransConver: transformer and convolution parallel network for developing automatic brain tumor segmentation in MRI images.","authors":"Junjie Liang, Cihui Yang, Mengjie Zeng, Xixi Wang","doi":"10.21037/qims-21-919","DOIUrl":"10.21037/qims-21-919","url":null,"abstract":"<p><strong>Background: </strong>Medical image segmentation plays a vital role in computer-aided diagnosis (CAD) systems. Both convolutional neural networks (CNNs) with strong local information extraction capacities and transformers with excellent global representation capacities have achieved remarkable performance in medical image segmentation. However, because of the semantic differences between local and global features, how to combine convolution and transformers effectively is an important challenge in medical image segmentation.</p><p><strong>Methods: </strong>In this paper, we proposed TransConver, a U-shaped segmentation network based on convolution and transformer for automatic and accurate brain tumor segmentation in MRI images. Unlike the recently proposed transformer and convolution based models, we proposed a parallel module named transformer-convolution inception (TC-inception), which extracts local and global information via convolution blocks and transformer blocks, respectively, and integrates them by a cross-attention fusion with global and local feature (CAFGL) mechanism. Meanwhile, the improved skip connection structure named skip connection with cross-attention fusion (SCCAF) mechanism can alleviate the semantic differences between encoder features and decoder features for better feature fusion. In addition, we designed 2D-TransConver and 3D-TransConver for 2D and 3D brain tumor segmentation tasks, respectively, and verified the performance and advantage of our model through brain tumor datasets.</p><p><strong>Results: </strong>We trained our model on 335 cases from the training dataset of MICCAI BraTS2019 and evaluated the model's performance based on 66 cases from MICCAI BraTS2018 and 125 cases from MICCAI BraTS2019. Our TransConver achieved the best average Dice score of 83.72% and 86.32% on BraTS2019 and BraTS2018, respectively.</p><p><strong>Conclusions: </strong>We proposed a transformer and convolution parallel network named TransConver for brain tumor segmentation. The TC-Inception module effectively extracts global information while retaining local details. The experimental results demonstrated that good segmentation requires the model to extract local fine-grained details and global semantic information simultaneously, and our TransConver effectively improves the accuracy of brain tumor segmentation.</p>","PeriodicalId":7426,"journal":{"name":"American Entomologist","volume":"47 1","pages":"2397-2415"},"PeriodicalIF":2.9,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923874/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82752365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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