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Smart blending technique could change way plastics made

A new smart blending technique optimizes plastic materials for maximum effectiveness, enabling the creation of tougher, electrically conductive, and porous plastics. The technology, developed at Clemson University, has potential applications in food packaging, personal hygiene products, automotive uses, and even breakfast cereals.

SourceClemson University·JournalPolymer Engineering and Science·DateSep 22, 2003

NSF awards $12.5 million to Cal-(IT)²

The National Science Foundation has awarded $12.5 million to Cal-(IT)², a two-campus science and innovation institute at the University of California, Irvine, to develop innovative information-sharing tools and organizational strategies for first responders in urban crisis situations. The project aims to provide critical tools to early...

New research finds garlic kills slugs

A study by Newcastle University found that a refined garlic product is an effective killer of slugs and snails, with the potential to replace chemical pesticides. The researchers tested nine molluscicides, including a garlic-based product, and found it to be one of the most effective killers.

Smoke-free rules may be good news for business

A study by Cornell University found that smoke-free regulations in New York restaurants and hotels did not harm employment or sales. In fact, the regulations led to a statistically significant increase in taxable sales and overall payrolls.

SourceCornell University·JournalCornell Hotel and Restaurant Administration Quarterly·DateJun 26, 2003

Agreements for industry-sponsored clinical trials often fail to protect researchers’ independence

A study by Duke University Medical Center found that agreements between academic medical centers and industry sponsors rarely include provisions to protect researchers' independence, access to data, and editorial control. This can lead to compromised scientific integrity and a lack of transparency in clinical trials.

SourceDuke University Medical Center·JournalNew England Journal of Medicine·DateOct 23, 2002

Tobacco industry youth anti-smoking programs designed to promote the industry, study shows

A study published in the American Journal of Public Health found that tobacco industry youth anti-smoking programs were designed to serve the industry's political aims, rather than reducing smoking rates. The programs aimed to gather information on youth behavior and attitudes to inform marketing strategies.

SourceUniversity of California - San Francisco·JournalAmerican Journal of Public Health·DateMay 29, 2002

Opening up research ethics boards

Research ethics boards involved in industry-sponsored pharmaceutical trials are under investigation due to concerns of secrecy and lack of transparency. Industry sponsorship can create conflicts of interest, compromising the integrity of clinical trials and patient safety.

SourceCanadian Medical Association Journal·JournalCanadian Medical Association Journal·DateMay 13, 2002

Riverways create as much pollution as highways

A new study reveals that river traffic emits substantial nitrogen oxide, fine particulate matter, and sulfur oxides pollution, rivaling that of highways. The research, led by James J. Corbett, finds boat and ship emissions contribute significantly to regional air quality, particularly in the Columbia River Gorge National Scenic Area.

SourceAmerican Chemical Society·JournalEnvironmental Science & Technology·DateMar 19, 2002

Impact of public research pervasive across manufacturing sector, says management science study

A management science study finds public research has a significant impact on industrial R&D, with the pharmaceutical industry being a major beneficiary. The study reveals that public research contributes to both innovation and project completion, with materials science and computer science fields having the most widespread impact.

'Smart' methods for detecting computer network intruders

The researchers report that the rough sets method offers significant advantages in intrusion detection, including the ability to work with missing values and imprecise data. The team's study found an average classification accuracy rate of 75.68% for rough sets, compared to 69.78% for neural nets and 51.16% for inductive learning.

SourcePenn State·JournalDecision Sciences·DateFeb 25, 2002