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  1. 301
  2. 302

    Laboratory detection and analysis of an atypical botulism outbreak by Huiyan QIN, Hui YANG, Jiehong ZHANG, Qingbo LI

    Published 2025-03-01
    “…The mice were intoxicated via intraperitoneal injection. The detection test results showed that, except for the control group, animals in all sample groups exhibited typical botulism symptoms. …”
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  3. 303
  4. 304

    Detection bias and the role of negative control outcomes by Anthony A Matthews, Isaac Núñez

    Published 2025-06-01
    “…Investigators, patients, or clinicians knowing which treatment is assigned in pragmatic randomised trials and observational analyses can lead to detection bias (ie, systematic differences in determining outcomes between groups). …”
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    Article
  5. 305
  6. 306

    The importance of antibiotic residues presence detection in milk by Dubravka Samaržija, Neven Antunac

    Published 2002-01-01
    “…In this paper, different groups of antibiotics, mechanisms of theirs action, mistakes occurring in dairy products manufacture as well as the methods for theirs detection are described.…”
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    Article
  7. 307

    Detection of Chlamydia pneumoniae in Ankylosing Spondylitis Patients by Baghdad Science Journal

    Published 2018-03-01
    “…Immunological and molecular examinations were done to detect Chlamydia. pneumoniae in AS group. The immunological results were performed by Enzyme-Linked Immunosorbent Assay (ELISA) to detect anti-IgG and anti-IgM antibodies of C. pneumoniae revealed that five of forty AS patients' samples (12.5%) were positive for anti-IgG and IgM C. pneumoniae antibodies compared to controls which revealed seronegative. …”
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    Article
  8. 308

    Detection of Chlamydia pneumoniae in Ankylosing Spondylitis Patients by Dunya Fareed Salloom

    Published 2018-03-01
    “…Immunological and molecular examinations were done to detect Chlamydia. pneumoniae in AS group. The immunological results were performed by Enzyme-Linked Immunosorbent Assay (ELISA) to detect anti-IgG and anti-IgM antibodies of C. pneumoniae revealed that five of forty AS patients' samples (12.5%) were positive for anti-IgG and IgM C. pneumoniae antibodies compared to controls which revealed seronegative. …”
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    Article
  9. 309

    Detection of communities with Naming Game-based methods. by Thais Gobet Uzun, Carlos Henrique Costa Ribeiro

    Published 2017-01-01
    “…Complex networks are often organized in groups or communities of agents that share the same features and/or functions, and this structural organization is built naturally with the formation of the system. …”
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    Article
  10. 310

    Unsupervised detection of coordinated information operations in the wild by D. Hudson Smith, Carl Ehrett, Patrick Warren

    Published 2025-03-01
    “…Abstract This paper introduces and tests an unsupervised method for detecting novel coordinated inauthentic information operations (CIOs) in realistic settings. …”
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    Article
  11. 311

    OCT-Angiography in Detecting Preclinical Diabetic Retinopathy by A. N. Stulova, N. S. Semenova, A. V. Zheleznyakova, V. S. Akopyan, D. S. Lipatov

    Published 2022-07-01
    “…Nonperfusion areas (NA) are very important findings at the preclinical stage of DR, which can be detected in superficial and deep layers. With OCT-A it is possible not only to reveal them but also to calculate their area. …”
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    Article
  12. 312

    Oral melatonin improves the detection of parasitemia in malaria by Chandan Kumar Kedarisetty, B Laksminarayana Samaga, Sudha Vidyasagar, Jayanthi Venkataraman

    Published 2020-11-01
    “…This concept was used to evolve a clinical study wherein use of exogenous melatonin could improve the chance of detection of the parasite. Methodology: In a prospective study, 80 consecutive patients seen in the Department of Medicine at Kasturba Hospital, Manipal, suspected to have malarial fever were enrolled with proper informed consent, and randomly assigned to the groups given oral melatonin 3mg (melatonin group, n = 40) or placebo (control group, n = 40). …”
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  13. 313

    Conditions and factors affecting the accuracy of olfactometric detection by Petra Riedlova, Spiros Tavandzis, Josef Kana, Jaromir Roubec

    Published 2025-01-01
    “…After long-term observation, a qualitative analysis was performed and factors that may play a role in the early detection of the disease were listed. Results: The results of the search for the different factors have been compiled into two groups, focussing on the actual handling of the patient biological sample from collection, processing, storage until transport, preparation of the sample,and detection. …”
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    Article
  14. 314

    Plant disease detection with generative adversarial networks by Garam Han, Derek Kwaku Pobi Asiedu, Kwabena Ebo Bennin

    Published 2025-03-01
    “…Generative Adversarial Networks (GANs) have emerged as a promising approach for enhancing image detection and facilitating image classification. Deep learning models, which exhibit high classification accuracy, have proven advantageous over conventional approaches for Plant disease detection (PDD). …”
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  15. 315

    The importance of detection of autoantibodies to podocytes in primary podocytopathies by Evgenia A. Kharionovskaya, Natalia V. Chebotareva, Evgenia A. Biryukova, Igor I. Alentov, Natalia S. Sergeeva, Sergey V. Moiseev

    Published 2025-01-01
    “…To determine the value of detecting antibodies to podocyte nephrin and synaptopodin for the diagnosis of MCD and FSGS. …”
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  16. 316

    Orange Leaves Images Dataset for the Detection of Huanglongbing by Juan Carlos Torres-Galván, Paul Hernández Herrera, Juan Antonio Obispo, Xocoyotzin Guadalupe Ávila Cruz, Liliana Montserrat Camacho Ibarra, Paula Magaldi Morales Orosco, Alfonso Alba, Edgar R. Arce-Santana, Valdemar Arce-Guevara, J. S. Murguía, Edgar Guevara, Miguel G. Ramírez-Elías

    Published 2025-04-01
    “…The use of ML and DL for image classification in plant disease has generated significant interest due to their cost, automatization, scalability, and early detection. However, high-quality image datasets are required to train robust classifier models for plant disease detection. …”
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    Distribution frequencies of KIR genes among the Korean, Manchu and Han ethnic groups in Jilin Province by HAN Yu, YANG Fan, LIU Lingling, NIE Tingting, YANG Xu, JIAO Lixin

    Published 2024-10-01
    “…Results KIR3DL2, KIR3DL3, KIR3DP1 and KIR2DL4 were detected in all subjects. KIR2DL1, KIR2DL3, KIR2DS4, KIR3DL1 and KIR2DP1 genes had high detection frequencies, ranging from 93% to 98% across the three ethnic groups. …”
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  19. 319

    Tracking and Behavior Analysis of Group-Housed Pigs Based on a Multi-Object Tracking Approach by Shuqin Tu, Jiaying Du, Yun Liang, Yuefei Cao, Weidian Chen, Deqin Xiao, Qiong Huang

    Published 2024-09-01
    “…First, the YOLOv8 is employed for the real-time detection and behavior classification of pigs under variable light and occlusion scenes. …”
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  20. 320

    Detecting tropical freshly-opened swidden fields using a combined algorithm of continuous change detection and support vector machine by Ningsang Jiang, Peng Li, Zhiming Feng

    Published 2025-02-01
    “…Swidden agriculture, widely practiced by impoverished ethnic groups, continues to undergo rapid transition and transformation in tropical highlands. …”
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    Article