A team of computational scientists at the Department of Energy's Oak Ridge National Laboratory has generated and released datasets of unprecedented scale that provide the ultraviolet visible spectral properties of over 10 ...
Strong precipitation may cause natural disasters, such as floodings or landslides. Global climate models are required to forecast the frequency of these extreme events, which is expected to change as a result of climate change. ...
Manatees are endangered species volatile to the environment. Because of their voracious appetites, they often spend up to eight hours a day grazing for food within shallow waters, making them vulnerable to environmental changes ...
Over the past decade, generative deep learning models have been applied successfully to the design of novel drug molecules, organic synthesis routes, and functional molecules tailored for electronic/optoelectronic devices. ...
The yield of wheat crops is influenced by sink strength (grain number and nutrient absorption capacity) and source capacity (photosynthetic tissue efficiency). While sink limitations are widely reported, source limitations ...
Tomato is a widely cultivated crop, valued for both culinary and medicinal purposes. Its vulnerability to various pests and diseases, especially affecting leaves, poses a challenge for growers. Traditional methods of disease ...
Rice is crucial for global food security, providing sustenance for half of the world's population. Its production, particularly influenced by environmental factors during the heading-flowering stage, affects crucial growth ...
To manage johnsongrass, a noxious weed that crowds out cotton and sickens horses, farmers have tried herbicides, burning and hand-pulling. Now, researchers at University of California, Davis, have developed a more high-tech ...
Exploring the biomedical interactions for chemical compounds and protein targets is crucial for drug discovery. Determining these drug–drug interactions (DDI) and drug–target interactions (DTI) not only reveals the potential ...
An interdisciplinary research team from the University of Waterloo is using artificial intelligence (AI) to identify microplastics faster and more accurately than ever before.
