Water sampling is a methodological process for collecting representative portions of aqueous systems (e.g., surface water, groundwater, wastewater) for subsequent physicochemical, biological, or ...

Biotechnology is a broad discipline in which biological processes, organisms, cells or cellular components are exploited to develop new technologies. New tools and products developed by ...

Immunology is the branch of biomedical sciences concerned with all aspects of the immune system in all multicellular organisms. Immune-relevant proteins are important drug targets, and many are ...

Short-form data and analysis from Pew Research Center writers and social scientists. To view all our reports and publications, visit our main Publications page. In eight countries, at least half of ...

Research is the pursuit of new knowledge through the process of discovery. Scientific research involves diligent inquiry and systematic observation of phenomena. Most scientific research projects ...

About six-in-ten Americans say countries around the world, including the U.S., will not do enough to avoid the worst effects of climate change. This growing pessimism is driven by Democrats. Fresh ...

Mary Hall is a editor for Investopedia's Advisor Insights, in addition to being the editor of several books and doctoral papers. Mary received her bachelor's in English from Kent State University with ...

It’s time to write your college application essay! Naturally you’re trying to decide which of your many life-changing, earth-shattering, mind-blowing experiences to write about in order to wow the ...

June 5, 2026 • Scientists are building autonomous robotic labs powered by artificial intelligence. The goal, they say, is for these robots to take over human researchers' most laborious, ...

May 22, 2026 Scientists have uncovered a strange hidden structure formed during the creation of metallocenes, a class of sandwich-like molecules used in everything from catalysis to medicine. The ...

Background Artificial intelligence ECG (AI-ECG) models can predict cardiovascular outcomes, but their clinical adoption is limited by restricted access to training data and uncertain generalisability.