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Laboratory detection and analysis of an atypical botulism outbreak
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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Detection bias and the role of negative control outcomes
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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305
Nested Pattern Detection and Unidimensional Process Characterization
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306
The importance of antibiotic residues presence detection in milk
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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307
Detection of Chlamydia pneumoniae in Ankylosing Spondylitis Patients
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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308
Detection of Chlamydia pneumoniae in Ankylosing Spondylitis Patients
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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309
Detection of communities with Naming Game-based methods.
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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310
Unsupervised detection of coordinated information operations in the wild
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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311
OCT-Angiography in Detecting Preclinical Diabetic Retinopathy
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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312
Oral melatonin improves the detection of parasitemia in malaria
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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Conditions and factors affecting the accuracy of olfactometric detection
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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314
Plant disease detection with generative adversarial networks
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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315
The importance of detection of autoantibodies to podocytes in primary podocytopathies
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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316
Orange Leaves Images Dataset for the Detection of Huanglongbing
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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317
An approach to malignant mammary phyllodes tumors detection
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318
Distribution frequencies of KIR genes among the Korean, Manchu and Han ethnic groups in Jilin Province
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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Tracking and Behavior Analysis of Group-Housed Pigs Based on a Multi-Object Tracking Approach
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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Detecting tropical freshly-opened swidden fields using a combined algorithm of continuous change detection and support vector machine
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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