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Nanoparticles create heat from light to manipulate electrical activity in neurons | The Source

Nanoparticles create heat from light to manipulate electrical activity in neurons | The Source
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E-lisle-hughes
Srikanth-singamaneni
Jon-silva
Barani-raman
Department-of-mechanical-engineering-materials-science
Mckelvey-school
Washington-university
Advanced-materials
Hughes-professor
Mechanical-engineering
ஏ-லைர்ல்-ஹக்ஸ்
ஜான்-சில்வா

Grant funds research pushing limits of cyborg insects

Date Time Grant funds research pushing limits of cyborg insects Sensors placed on locusts monitor neural activity while they are freely moving, decoding the odorants present in their environment. (Photo: Barani Raman) The Office of Naval Research has awarded Barani Raman, professor of biomedical engineering at the McKelvey School of Engineering at Washington University in St. Louis, an $851,320 grant for research to determine just how sensitive locusts’ noses are when it comes to explosives – and how well researchers can interpret what the insects are sensing. Raman The research – which includes Srikanth Singamaneni, the Lilyan & E. Lisle Hughes Professor of mechanical engineering and materials science, and Shantanu Chakrabartty, the Clifford W. Murphy Professor of electrical and systems engineering – will be partially conducted on campus and partially at a naval facility.

E-lisle-hughes
Srikanth-singamaneni
Barani-raman
Cliffordw-murphy
Shantanu-chakrabartty
Office-of-naval-research
Naval-research
Mckelvey-school
Washington-university
Hughes-professor
ஏ-லைர்ல்-ஹக்ஸ்
பாரணி-ராமன்

新研究:5.4億年前的三葉蟲用腿呼吸

新研究:5.4億年前的三葉蟲用腿呼吸
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Beijing
China
California
United-states
Jinbo
Hainan
India
Canada
Researcha-california-university-riverside
United-states-museum-department
California-university-riverside

新研究:5.4亿年前的三叶虫用腿呼吸

新研究:5.4亿年前的三叶虫用腿呼吸
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Yuan-li
Fujian
China
California
United-states
Jinbo
Hainan
India
Canada
South-korea
Researcha-california-university-riverside

Which COVID-19 patients end up in the ICU? This new algorithm could figure it out

Which COVID-19 patients end up in the ICU? This new algorithm could figure it out An algorithm could curb the pandemic s wrecking ball on hospital resources. California researchers have created an algorithm that uses just five data inputs to predict a patient’s COVID-19 prognosis a big improvement compared to the bad old days of last year. In the early days of the pandemic, medical professionals reasonably collected various categories of patient data to create a snapshot picture of how ill the patient was and estimate a prognosis. In today’s complicated world of this infectious disease, a bedside tool could help a physician assess a prognosis much faster.

University-of-southern-california
California
United-states
Assad-oberai
Neha-nanda
Viterbi-school-of-engineering
Department-of-aerospace
Keck-school-of-medicine
Hughes-professor
Mechanical-engineering
Viterbi-school
Keck-school

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