Mostrando 121 - 140 Resultados de 17,239 Para Buscar '"Inception"', tiempo de consulta: 0.31s Limitar resultados
  1. 121
    “…METHODS AND ANALYSIS: This prospective observational study will recruit an inception cohort of 2000 ATI survivors, including pedestrians, cyclists and micromobility users aged 16 years and older who arrive at a participating emergency department within 48 hours of sustaining an ATI. …”
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  2. 122
  3. 123
  4. 124
    “…Objectives of the study were to identify predictors of health care drop out (HDO) in an inception and ongoing cohort of patients with recent onset RA. …”
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  5. 125
    “…METHODS AND ANALYSIS: Colorectal cancer with Synchronous liver-limited Metastases: an Inception Cohort (CoSMIC) is an inception cohort study of patients with a new diagnosis of colorectal cancer with synchronous liver-limited metastases. …”
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  6. 126
    “…These findings suggest that present-day climate would be susceptible to glacial inception if greenhouse gas concentrations were as low as they were at the end of MIS 19c.…”
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  7. 127
    “…The findings indicate that, while all 14 topics have been prominent from the inception of tourism studies to the present day, the geography of scholarship has notably expanded and the share of female authorship has increased through time and currently almost equals that of male authorship.…”
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  8. 128
    “…METHODS: Community-based, online prospective inception cohort study with nested qualitative study, to evaluate the feasibility and acceptability of collecting RTI symptom and microbiological data from children recruited prior to RTI onset. …”
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  9. 129
  10. 130
    “…METHODS: We evaluated the initial symptom presentation of patients with IBD in the Ocean State Crohn’s and Colitis Area Registry (OSCCAR), a community-based inception cohort that enrolled Rhode Island IBD patients at time of diagnosis with longitudinal follow up. …”
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  11. 131
    por Kalibala, Samuel, Nutley, Tara
    Publicado 2019
    “…Project SOAR, a six-year USAID-funded operations research project, recognized this gap and developed an approach to include the end data users in the research process from inception to final results dissemination. In this commentary, we make recommendations for active facilitation of research uptake using emerging lessons from SOAR’s RU process that focuses on ongoing engagement of stakeholders throughout the life of the study.…”
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  12. 132
    “…The cytokinin-inducible transcription factor NODULE INCEPTION (NIN) allows induction of this program during nodulation through activation of LBD16 that promotes auxin biosynthesis via transcriptional induction of STYLISH (STY) and YUCCAs (YUC). …”
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  13. 133
    “…These findings have suggested that treatment with bacterial lysates could promote a nonspecific immunomodulation useful in the prevention of recurrent RTIs and of wheezing inception and persistence. Experimental and clinical studies showing the reduction of RTI frequency and severity in childhood and elucidating the involved mechanisms can support this hypothesis.…”
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  14. 134
    “…Yet, no consensus exists on how crucial the latter are for the inception of semantic distinctions. To address this issue, we combined electroencephalographic (EEG) and intracranial EEG (iEEG) to examine when nouns denoting facial body parts (FBPs) and nonFBPs are discriminated in face-processing and multimodal networks. …”
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  15. 135
  16. 136
    “…In our work, we recommend a framework for severity grading and early DR detection through hybrid deep learning Inception-ResNet architecture with smart data preprocessing. …”
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  17. 137
    “…Different pre-trained convolutional neural network (CNN) variants are utilized, including VGG16, Inception-v3, and ResNet50. Ensembles are made by incorporating CNN with Inception-V3, VGG-16, and ResNet50. …”
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  18. 138
    “…Then classification was made using the deep brooke inception net classifier. The performances of the classifier are compared where the simulation results show that the proposed strategy accuracy in detecting severity of the Parkinson's disease is better than other conventional methods. …”
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  20. 140
    “…In order to overcome the above problems and realize accurate damage location diagnosis of the frame structure, the existing convolutional neural network with training interference (TICNN) is improved in this paper, and a high-precision neural network model named convolutional neural network based on Inception (BICNN) for fault diagnosis with strong anti-noise ability is proposed by adding the Inception module to TICNN. …”
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