Elsevier,
Ocean Modelling, Volume 182, April 2023
This study proposes a deep learning model based on a convolutional neural network, which can effectively fuse atmospheric information (wind field) and station water level information and can effectively forecast the station water level and also have a good response to the anomalous water level increase brought by storm surge.
Elsevier, The Lancet Psychiatry, Volume 10, April 2023
Background: The Global Burden of Disease Study (GBD) estimates burden by cause with major relevance for resource allocators globally. Non-fatal burden estimates are influenced by disorder severity. However, for many disorders, global severity is sourced from a single high-income country survey. We aimed to estimate severity distributions that vary by Healthcare Access Quality Index (HAQI) using anxiety disorders as a case study and present the usefulness of this method in simulating averted and avoidable burden globally.
Elsevier,
Current Developments in Nutrition, Volume 7, April 2023
The findings of this study suggest further review and consideration of a multipronged approach of integrated nutrition, menstrual hygiene management, and water, sanitation and hygiene interventions at the school level to improve adolescent nutrition and health.
Cell Genomics, Volume 3, 12 April 2023
Sea urchins are one of the most amenable model systems in developmental biology and they have enabled major discoveries. In this study, the authors investigated how conserved the genomic and regulatory architecture is between P. lividus, other sea urchins, and chordates. By integrating genomic and regulatory datasets, they demonstrated how regulatory changes could be associated with the origin of the novel body plan of urchins and other echinoderms.
