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Grading Adverse Events - National Institutes of Health

the applicable network standards for reporting abnormal pregnancy outcomes on the CRFs. Determining Severity Grade for Parameters between Grades If the severity of an AE could fall in either one of two grades (i.e., the severity of an AE could be either grade 2 or grade 3), sites should select the higher of the two grades. Laboratory Values

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Clinical Trial Application Submission Guidance

rsc.niaid.nih.gov

Version 1.0, October 11, 2018 Effective Date – November 1, 2018 1 Clinical Trial Application Submission Guidance Purpose: The purpose of this guidance document is to outline DAIDS’ requirements regarding the submission of

  Date, Applications, Guidance, Clinical, Trail, Submissions, Clinical trial application submission guidance

Division of AIDS (DAIDS) Table for Grading the Severity of ...

rsc.niaid.nih.gov

Grading Adult and Pediatric AEs When a single parameter is not appropriate for grading an AE in both adult and pediatric populations, separate parameters with specified age ranges are provided. If no distinction between adult and pediatric populations has been made, the listed parameter should be used for grading an AE in both populations.

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DEPO-PROVERA- medroxyprogesterone acetate injection ...

rsc.niaid.nih.gov

14.3 Bone Mineral Density Changes in Adolescent Females (12–18 years of age) ... continuous contraceptive coverage based upon the mechanism of action of both methods, (e.g., patients switching ... anorexia nervosa, strong family history of osteoporosis or chronic use of drugs that can reduce bone mass such as anticonvulsants or corticosteroids).

  Based, Family, Adolescent, Anorexia, Depo, Depo provera, Provera, Anorexia nervosa, Nervosa

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EfficientNet: Rethinking Model Scaling for Convolutional …

arxiv.org

model scaling heavily depends on the baseline network; to go even further, we use neural architecture search (Zoph & Le,2017;Tan et al.,2019) to develop a new baseline network, and scale it up to obtain a family of models, called EfficientNets. Figure1summarizes the ImageNet perfor-mance, where our EfficientNets significantly outperform

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Deep Unfolding Network for Image Super-Resolution

openaccess.thecvf.com

ferent scale factors via a single end-to-end trained model (see Fig. 1). In this paper, we propose a deep unfolding super-resolution network (USRNet) to bridge the gap between learning-based methods and model-based methods. On one hand, similar to model-based methods, USRNet can effec-tively handle the classical degradation model (i.e., Eq. (1))

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MIND: A Large-scale Dataset for News Recommendation

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titles using CNN network by incorporating both word embeddings and the entity embeddings in-ferred from knowledge graphs. Wu et al. (2019a) proposed an attentive multi-view learning frame-work to represent news articles from different news texts such as title, body and category. They used an attention model to infer the interest of users

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5G Network Architecture and FMC

www.itu.int

shows the interaction that exist between the NF services in the network functions described by point-to-point reference point (e.g. N11) between any two network functions (e.g. AMF and SMF). Service-based representation, where network functions (e.g. AMF) within the control plane enables other authorized network functions to access their services

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The Network Architect’s Guide to Adopting Zero Trust

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The end goal with a software-defined architecture is to decouple application access from network access. Users will no longer need to be placed on the network, private applications are only accessible to authorized users, IP addresses never exposed to the internet and the complexity of managing network segments, FW policies and ACLs goes away.

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