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Articles

Computer Science > Machine Learning

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By juan juan, Salil Patel, Dominic Dootson
| arXiv
The cyclic structure of physiological processes offers a natural prior for self-supervised representation learning, and the cardiac cycle provides a particularly well-defined setting in which to exploit it. We derive a phase-equivariant self-supervised objective and introduce Winder, a joint-embedding architecture that organises representations into phase-invariant coordinates and phase-rotating harmonic subspaces.
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Observation and modeling of fertility loss attributable to natural disasters from 1990-2021

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By Manman Chen, Wanzhou Wang, Zichen Ye, Yuankai Zhao, Ze Liang, Xijie Wang, juan juan
| Nature Verified
Abstract Natural disasters have increasingly threatened population health, but their global impacts on fertility remain uncertain. This study aims to quantify global fertility loss attributable to natural disasters and its socioeconomic disparities. We conducted a two-stage analysis using disaster records from the Emergency Events Database (EM-DAT) and total fertility rate (TFR) and net reproductive rate (NRR) data from the Global Burden of Disease (GBD) 2021 database.
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Prevalence and genotype distribution of cervical human papillomaviruses infection across cytology: a nationwide, cross-sectional study of over 1 million Chinese women from 2020 to 2024

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By juan juan, Mansfield Road, Di Gao, Xueyin Wang, Hui Bi, Jiayue Li, Yupeng Shi, YUE WANG, Gengli Zhao, Xiaosong Zhang, Taoye Xu
| Journal of Infection Verified
Keywords Human papillomaviruses Cervical Cytology Epidemiological Genotype distribution Introduction Cervical cancer remains a major public health challenge and a leading threat to women’s health worldwide, particularly in low- and middle-income countries.
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