Times to tracheal extubation, sternal recumbency and standing (minutes) following inhalant anesthesia and final rectal temperatures (°C) in each premedication-treatment group. by Jacob P. Rastas (20642173)

AI KRegression by CHIN-CHENG CHU (20718575)

The distribution of water footprint levels in China. a, 2005. b, 2010. c, 2015. d, 2022. by Jianqin Ma (20328414)

Simulated regional mean wetland seasons. by Nic Gedney (19762301)

Regional contemporary (1990–1999 mean) precipitation and JULES inundation fraction over the Amazon basin. by Nic Gedney (19762301)

Changes in decadal precipitation and JULES inundation between 1990–1999 and 2089–2098. by Nic Gedney (19762301)

Contemporary mean inundation fraction in the Amazon basin. by Nic Gedney (19762301)

Data Sheet 1_Spatial and temporal variability in blue carbon accumulation in the largest salt marsh in British Columbia, Canada.docx by Karen E. Kohfeld (11936879)

ASMR (A), ASDR (B), Age-Standardized Rate of YLDs (C), and Age-Standardized Rate of YLLs (D) of high alcohol use-related Stroke in both sexes combined in global in 2021. by Nannan Qian (10650782)

ASMR (A), ASDR (B), Age-Standardized Rate of YLDs (C), and Age-Standardized Rate of YLLs (D) for two types of high alcohol use-related Stroke in both sexes combined globally, 1990–... by Nannan Qian (10650782)

The heatmap of two types high alcohol use-related Stroke showing ASMR (A), ASDR (B), Age-Standardized Rate of YLDs (C), and Age-Standardized Rate of YLLs (D) across 21 GBD regions... by Nannan Qian (10650782)

ASMR (A), ASDR (B), Age-Standardized Rate of YLDs (C), and Age-Standardized Rate of YLLs (D) of high alcohol use-related Stroke in both sexes combined in global and five SDI region... by Nannan Qian (10650782)

The age-specific burden of high alcohol use-related Stroke, death and ASMR (A), DALYs and ASDR (B), YLDs and Age-Standardized Rate of YLDs (C), YLLs and Age-Standardized Rate of YL... by Nannan Qian (10650782)

ASMR (A), ASDR (B), Age-Standardized Rate of YLDs (C), and Age-Standardized Rate of YLLs (D) of high alcohol use-related Stroke in males and females across 21 GBD regions and SDI r... by Nannan Qian (10650782)

Room-Temperature Self-Healable Glassy Semicrystalline Polymers via Ionic Aggregations by Pengxiang Si (5676260)

“…Semicrystalline polymers constitute the largest fraction of industrial and engineering plastics but are difficult to automatically self-heal in their glassy state due to the frozen molecular chains. …”

Room-Temperature Self-Healable Glassy Semicrystalline Polymers via Ionic Aggregations by Pengxiang Si (5676260)

“…Semicrystalline polymers constitute the largest fraction of industrial and engineering plastics but are difficult to automatically self-heal in their glassy state due to the frozen molecular chains. …”

Room-Temperature Self-Healable Glassy Semicrystalline Polymers via Ionic Aggregations by Pengxiang Si (5676260)

“…Semicrystalline polymers constitute the largest fraction of industrial and engineering plastics but are difficult to automatically self-heal in their glassy state due to the frozen molecular chains. …”

Room-Temperature Self-Healable Glassy Semicrystalline Polymers via Ionic Aggregations by Pengxiang Si (5676260)

“…Semicrystalline polymers constitute the largest fraction of industrial and engineering plastics but are difficult to automatically self-heal in their glassy state due to the frozen molecular chains. …”

The EAPC of ASMR (A), ASDR (B), Age-Standardized Rate of YLDs (C), and Age-Standardized Rate of YLLs (D) of high alcohol use-related Stroke in both sexes combined across 21 GBD reg... by Nannan Qian (10650782)

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”