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View article: ImageNet classification with deep convolutional neural networks
ImageNet classification with deep convolutional neural networks Open
We trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 different classes. On the test data, we achieved top-1 and top-5 error rates of 37.5%…
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Open
Training Deep Neural Networks is complicated by the fact that the distribution of each layer's inputs changes during training, as the parameters of the previous layers change. This slows down the training by requiring lower learning rates …
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SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition Open
We present SpecAugment, a simple data augmentation method for speech\nrecognition. SpecAugment is applied directly to the feature inputs of a neural\nnetwork (i.e., filter bank coefficients). The augmentation policy consists of\nwarping th…
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Instance Normalization: The Missing Ingredient for Fast Stylization Open
It this paper we revisit the fast stylization method introduced in Ulyanov et. al. (2016). We show how a small change in the stylization architecture results in a significant qualitative improvement in the generated images. The change is l…
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Deep learning with convolutional neural networks for EEG decoding and visualization Open
Deep learning with convolutional neural networks (deep ConvNets) has revolutionized computer vision through end‐to‐end learning, that is, learning from the raw data. There is increasing interest in using deep ConvNets for end‐to‐end EEG an…
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Guidance on Conducting a Systematic Literature Review Open
Literature reviews establish the foundation of academic inquires. However, in the planning field, we lack rigorous systematic reviews. In this article, through a systematic search on the methodology of literature review, we categorize a ty…
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Youth Risk Behavior Surveillance — United States, 2017 Open
YRBSS data are used widely to compare the prevalence of health-related behaviors among subpopulations of students; assess trends in health-related behaviors over time; monitor progress toward achieving 21 national health objectives; provid…
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Global prevalence of autism: A systematic review update Open
Prevalence estimates of autism are essential for informing public policy, raising awareness, and developing research priorities. Using a systematic review, we synthesized estimates of the prevalence of autism worldwide. We examined factors…
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The use of focus group discussion methodology: Insights from two decades of application in conservation Open
Focus group discussion is frequently used as a qualitative approach to gain an in‐depth understanding of social issues. The method aims to obtain data from a purposely selected group of individuals rather than from a statistically represen…
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Translanguaging as a Practical Theory of Language Open
This article seeks to develop Translanguaging as a theory of language and discuss the theoretical motivations behind and the added values of the concept. I contextualize Translanguaging in the linguistic realities of the 21st century, espe…
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Spectral Normalization for Generative Adversarial Networks Open
One of the challenges in the study of generative adversarial networks is the instability of its training. In this paper, we propose a novel weight normalization technique called spectral normalization to stabilize the training of the discr…
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Breast Cancer Statistics, 2022 Open
This article is the American Cancer Society’s update on female breast cancer statistics in the United States, including population‐based data on incidence, mortality, survival, and mammography screening. Breast cancer incidence rates have …
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Self-Attention Generative Adversarial Networks Open
In this paper, we propose the Self-Attention Generative Adversarial Network (SAGAN) which allows attention-driven, long-range dependency modeling for image generation tasks. Traditional convolutional GANs generate high-resolution details a…
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Qualitative Research in Nursing and Healthcare Open
Preface. Acknowledgements. Part One: Introduction to Qualitative Research: Initial Stages. 1 The Nature and Utility of Qualitative Research. What is qualitative research? The main features of qualitative research. The place of theory in qu…
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Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2020 Open
The continued increase among children identified with ASD, particularly among non-White children and girls, highlights the need for enhanced infrastructure to provide equitable diagnostic, treatment, and support services for all children w…
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Racism and Health: Evidence and Needed Research Open
In recent decades, there has been remarkable growth in scientific research examining the multiple ways in which racism can adversely affect health. This interest has been driven in part by the striking persistence of racial/ethnic inequiti…
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COVID-19 and Racial/Ethnic Disparities Open
This Viewpoint reviews possible reasons for reported excess mortality and poor outcomes in racial/ethnic minority populations with COVID-19 and proposes research, public health, and clinical interventions to decrease health inequities in a…
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GTDB: an ongoing census of bacterial and archaeal diversity through a phylogenetically consistent, rank normalized and complete genome-based taxonomy Open
The Genome Taxonomy Database (GTDB; https://gtdb.ecogenomic.org) provides a phylogenetically consistent and rank normalized genome-based taxonomy for prokaryotic genomes sourced from the NCBI Assembly database. GTDB R06-RS202 spans 254 090…
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Normalization and microbial differential abundance strategies depend upon data characteristics Open
These findings guide which normalization and differential abundance techniques to use based on the data characteristics of a given study.
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Global Burden of Stroke Open
Stroke is the second leading cause of death and a major cause of disability worldwide. Its incidence is increasing because the population ages. In addition, more young people are affected by stroke in low- and middle-income countries. Isch…
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Using Zoom Videoconferencing for Qualitative Data Collection: Perceptions and Experiences of Researchers and Participants Open
Advances in communication technologies offer new opportunities for the conduct of qualitative research. Among these, Zoom—an innovative videoconferencing platform—has a number of unique features that enhance its potential appeal to qualita…
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A Diversity-Promoting Objective Function for Neural Conversation Models Open
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan. Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2016.
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Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years — Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2012 Open
The ADDM Network will continue to monitor the prevalence and characteristics of ASD among children aged 8 years living in selected sites across the United States. Recommendations from the ADDM Network include enhancing strategies to 1) low…
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Snowball Sampling: A Purposeful Method of Sampling in Qualitative Research Open
Background and Objectives Snowball sampling is applied when samples with the target characteristics are not easily accessible. This research describes snowball sampling as a purposeful method of data collection in qualitative research. Met…
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Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R Open
Motivation Single-cell RNA sequencing (scRNA-seq) is increasingly used to study gene expression at the level of individual cells. However, preparing raw sequence data for further analysis is not a straightforward process. Biases, artifacts…
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Prevalence and Ethnic Pattern of Diabetes and Prediabetes in China in 2013 Open
Among adults in China, the estimated overall prevalence of diabetes was 10.9%, and that for prediabetes was 35.7%. Differences from previous estimates for 2010 may be due to an alternate method of measuring hemoglobin A1c.
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COVID-19: 20 countries’ higher education intra-period digital pedagogy responses Open
The Coronavirus 2019 (COVID-19) pandemic has created significant challenges for the global higher education community. Through a desktop analysis leveraging university and government sources where possible, we provide a timely map of the i…
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A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor Open
Single-cell RNA sequencing (scRNA-seq) is widely used to profile the transcriptome of individual cells. This provides biological resolution that cannot be matched by bulk RNA sequencing, at the cost of increased technical noise and data co…
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Spectral Normalization for Generative Adversarial Networks Open
One of the challenges in the study of generative adversarial networks is the instability of its training. In this paper, we propose a novel weight normalization technique called spectral normalization to stabilize the training of the discr…
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Hospitalization and Mortality among Black Patients and White Patients with Covid-19 Open
In a large cohort in Louisiana, 76.9% of the patients who were hospitalized with Covid-19 and 70.6% of those who died were black, whereas blacks comprise only 31% of the Ochsner Health population. Black race was not associated with higher …