Agricultural and Related Pest Control Applicator License Classifications under the Florida Department of Agriculture and Consumer Services (FDACS) by Frederick M. Fishel

“… This guide provides an explanation of private, public and commercial pesticide applicator licenses issued by FDACS under Chapter 487 Florida Statutes. This document is PI-59, one of a series of the Pesticide Information Office, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. …”
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Annotation-free deep learning for predicting gene mutations from whole slide images of acute myeloid leukemia by Bo-Han Wei, Xavier Cheng-Hong Tsai, Kuo-Jui Sun, Min-Yen Lo, Sheng-Yu Hung, Wen-Chien Chou, Hwei-Fang Tien, Hsin-An Hou, Chien-Yu Chen

“…Abstract The rapid development of deep learning has revolutionized medical image processing, including analyzing whole slide images (WSIs). …”
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Computer Aided Diagnostic System for Blood Cells in Smear Images Using Texture Features and Supervised Machine Learning by Shakhawan Hares Wady

“…The investigation of White Blood Cells (WBCs) is essential for the detection of ALL-leukaemia cells, for which blood smear images were being used. This study created an intelligent framework for identifying healthy blood cells from leukemic blood cells in blood smear images. …”
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Integrated electronic nose and multi-omics reveal changes in flavour characterization of cashmere goats and tan sheep meat by Ju Zhang, Shuang Pang, Ge Yan, Lulu Wang, Yuan Xu, Yuheng Bai, Ran Li, Xihong Wang, Yu Jiang

“…This study aimed to employ a multi-omics method to identify key compounds contributing to the sensory flavour of mutton and to investigate the internal correlation between volatile metabolites and lipids in Cashmere goats and Tan sheep. …”
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Covid-19 Detection from Chest X-Ray Images and Hybrid Model Recommendation with Convolutional Neural Networks by Furkan Eryılmaz, Hacer Karacan

“…Within the scope of the related study, the detection of COVID-19 from cost-effective and easily accessible lung X-Ray images was studied. The detection of COVID-19, which can be confused with other lung diseases from X-Ray images, can only be made by expert radiologists. …”
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Beyond motor learning: Insights from infant magnetic resonance imaging on the critical role of the cerebellum in behavioral development by Lauren Wagner, Melis E Cakar, Megan Banchik, Emily Chiem, Siobhan Sive Glynn, Amy H Than, Shulamite A Green, Mirella Dapretto

“…Recent magnetic resonance imaging (MRI) research increasingly shows the cerebellum is key to understanding the emergence of complex human behaviors and neurodevelopmental conditions. …”
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Multi-omics unveils strain-specific neuroactive metabolite production linked to inflammation modulation by Bacteroides and their extracellular vesicles by Basit Yousuf, Walid Mottawea, Galal Ali Esmail, Nazila Nazemof, Nour Elhouda Bouhlel, Emmanuel Njoku, Yingxi Li, Xu Zhang, Zoran Minic, Riadh Hammami

“…This study investigated the strain-specific production of neuroactive metabolites by 18 Bacteroidetes (12 Bacteroides, 4 Phocaeicola, and 2 Parabacteroides) using multi-omics approaches. Genomic analysis revealed a significant potential for producing GABA, tryptophan, tyrosine, and histidine metabolism-linked neuroactive compounds. …”
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A feature extraction method for hydrofoil attached cavitation based on deep learning image semantic segmentation algorithm by Yingyuan Liu, Yizhi Wang, Kang An

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Estimation of the pattern of ocular manifestations, risk factors, and imaging of rhino-orbital-cerebral mucormycosis in COVID-19 patients by Rajwinder Kaur, Grace Budhiraja, Upasana Bhumbla, Manjot Kaur, Vandana Sharma, Priyanka Gupta, Ritesh Singla, Akashdeep Goel, Ekta Gupta, Priyanka Dahiya

“…Staging based on magnetic resonance imaging scans showed that 7 (20%) had stage II, 20 (57.1%) had stage III, and 28.7% had stage IV disease. …”
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Les dispositifs optiques au XIXe siècle et la production des images dans Madame Bovary by Jeanne Bem

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Shuffle-PG: Lightweight feature extraction model for retrieving images of plant diseases and pests with deep metric learning by Dong Jin, Helin Yin, Yeong Hyeon Gu

Subjects: “…Image retrieval…”
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Neoliberal Policy and Equity on Campus: A Comparative Administrative Study of Name, Image, and Likeness (NIL) and College Athletics by Darrell Lovell

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Looking outside the box with a pathology aware AI approach for analyzing OCT retinal images in Stargardt disease by Parisa Khateri, Tiana Koottungal, Damon Wong, Rupert W. Strauss, Lucas Janeschitz-Kriegl, Maximilian Pfau, Leopold Schmetterer, Hendrik P. N. Scholl

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Modified AlexNet Convolution Neural Network For Covid-19 Detection Using Chest X-ray Images by Shadman Q. Salih, Hawre Kh. Abdulla, Zanear Sh. Ahmed, Nigar M. Shafiq Surameery, Rasper Dh. Rashid

Subjects: “…COVID-19, Chest X-Ray Images, CNN, AlexNet, Deep Learning.…”
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Self-Healing Therapy for Body-focused Social Anxiety and Body Management in Adolescent Females with Body Image Concerns by Fatemeh Masoudizadeh, Fariba Hafezi, Sahar Safarzadeh, Zahra Dasht Bozorgi

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Screening and Early Diagnosis of Hepatocellular Cancer and Optimization of Diagnostic Imaging Techniques: A Review and Conclusion of the Expert Panel by V. V. Breder, R. B. Alikhanov, S. S. Bagnenko, E. N. Bessonova, V. A. Isakov, N. E. Kudashkin, B. M. Medvedeva, A. V. Mishchenko, M. S. Novruzbekov, V. S.  Rudakov

“…If focal liver lesions of 1–2 cm are detected on ultrasound, additional imaging of the liver using MRI with a hepatospecific contrast agent gadoxetic acid helps to identify HCC at an earlier stage or high degree dysplastic nodes. …”
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Advanced retinal disease detection from OCT images using a hybrid squeeze and excitation enhanced model. by Gülcan Gencer, Kerem Gencer

“…Traditional methods for diagnosing retinal disorders often rely heavily on manual interpretation of optical coherence tomography (OCT) images, which can be time-consuming and dependent on the expertise of ophthalmologists. …”
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Secured DICOM medical image transition with optimized chaos method for encryption and customized deep learning model for watermarking by R. Abirami, C. Malathy

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Phenology analysis for detection of vegetation changes based on Landsat 8 images in Nature Park Kopački rit, Croatia by Radočaj Dorijan, Plaščak Ivan, Jurišić Mladen, Majić Ivana, Ozimec Siniša, Sarajlić Ankica, Rožac Vlatko

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The Florida Department of Agriculture and Consumer Services (FDACS) Continuing Education Unit (CEU) System for Certified Pesticide Applicators by Frederick M. Fishel

“…PI-40/PI077: The Florida Department of Agriculture and Consumer Services (FDACS) Continuing Education Unit (CEU) System for Certified Pesticide Applicators (ufl.edu) …”
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