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Could our immune system be why COVID-19 is so deadly?


Credit: Earlham Institute
Respiratory viruses such as SARS-CoV-2 (causing COVID-19) can often catalyse an overactive immune response that leads to a life-threatening cycle, known as a cytokine storm. Analysing cytokine responses from patients infected with SARS-CoV-2 and similar common respiratory viruses has unearthed glaringly important differences in how SARS-CoV-2 affects cytokines compared to other common respiratory viruses.
The comprehensive data resource aims to help specialists identify better treatments and diagnosis of underlying causes that can cause the deadly cytokine storm.
Scientists at the Earlham Institute (EI) and the Quadram Institute study how the immune system responds to infection with SARS-CoV-2 and other similar respiratory viruses, in particular to identifying unique features in severely ill COVID-19 patients. ....

Claire Shannon Lowe , Marton Olbei , Quadram Institute , Earlham Institute , Members Of The Korcsmaros Group , University Of Birmingham , Korcsmaros Group , Phd Student Marton Olbei , Molecular Biology , Medicine Health , Immunology Allergies Asthma , Infectious Emerging Diseases , Technology Engineering Computer Science , கிளாரி ஶ்யாநந் குறைந்த , ஏர்ல்தாம் நிறுவனம் , பல்கலைக்கழகம் ஆஃப் பர்மிங்காம் , மூலக்கூறு உயிரியல் , மருந்து ஆரோக்கியம் , நோயெதிர்ப்பு ஒவ்வாமை ஆஸ்துமா , தொற்று வளர்ந்து வருகிறது நோய்கள் , தொழில்நுட்பம் பொறியியல் கணினி அறிவியல் , உயிர் தகவலியல் ,

New machine learning tool facilitates analysis of health information, clinical forecasting


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Clinical research requires that data be mined for insights. Machine learning, which develops algorithms to find patterns, has difficulty doing this with data related to health records because this type of information is neither static nor regularly collected. A new study developed a transparent and reproducible machine learning tool to facilitate analysis of health information. The tool can be used in clinical forecasting, which can predict trends as well as outcomes in individual patients.
The study, by a researcher at Carnegie Mellon University (CMU), appears in
Proceedings of Machine Learning Research.
Temporal Learning Lite, or TL-Lite, is a visualization and forecasting tool to bridge the gap between clinical visualization and machine learning analysis, explains Jeremy Weiss, assistant professor of health informatics at CMU s Heinz College, who authored the study. While the individual elements of this tool are well known, their integration into an ....

Jeremy Weiss , Carnegie Mellon University , Amazon Web Services , Heinz College , Proceedings Of Machine Learning Research , Machine Learning , Learning Lite , Health Care , Algorithms Models , Medicine Health , Health Care Systems Services , Health Professionals , Medical Scientific Ethics , Technology Engineering Computer Science , ஜெர்மி வெயிஸ் , கார்னகி மெலந் பல்கலைக்கழகம் , அமேசான் வலை சேவைகள் , ஹெய்ன்ஸ் கல்லூரி , இயந்திரம் கற்றல் , கற்றல் லைட் , ஆரோக்கியம் பராமரிப்பு , மருந்து ஆரோக்கியம் , ஆரோக்கியம் பராமரிப்பு அமைப்புகள் சேவைகள் , ஆரோக்கியம் ப்ரொஃபெஶநல்ஸ் , மருத்துவ அறிவியல் நெறிமுறைகள் , தொழில்நுட்பம் பொறியியல் கணினி அறிவியல் ,

New catalyst makes styrene manufacturing cheaper, greener


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Chemical engineering researchers have developed a new catalyst that significantly increases yield in styrene manufacturing, while simultaneously reducing energy use and greenhouse gas emissions.
Styrene is a synthetic chemical that is used to make a variety of plastics, resins and other materials, says Fanxing Li, corresponding author of the work and Alcoa Professor of Chemical Engineering at North Carolina State University. Because it is in such widespread use, we are pleased that we could develop a technology that is cost effective and will reduce the environmental impact of styrene manufacturing. Industry estimates predict that manufacturers will be producing more than 33 million tons of styrene each year by 2023. ....

Xing Zhu , Zhua Wang , Xijun Wang , Junchen Liu , Zhenghong Bao , Yunfei Gao , Fanxing Li , Vasudev Haribal , Luke Neal , Zili Wu , Nature Communications , Kenan Institute For Engineering , Oak Ridge National Laboratory , University Of Science , National Science Foundation , Us Department Of Energy , Alcoa Professor , Chemical Engineering , North Carolina State , Kunming University , Kenan Institute , Chemistry Physics Materials Sciences , Industrial Engineering Chemistry , Polymer Chemistry , Technology Engineering Computer Science , Biomedical Environmental Chemical Engineering ,

Showcasing the green construction sites of tomorrow


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IMAGE: The project will demonstrate elements of the green construction site of the future through modern technological solutions in interaction with efficient logistics and intelligent operations.
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Credit: Per Aarsleff A/S
Ambitious climate plans in Denmark and a strong focus on pollution from urban construction sites call for a green transformation of the building and construction sector.
The sector accounts for 2.2 per cent of total carbon emissions in Denmark, and is also responsible for a major share of the total particulate pollution from road traffic.
Over the next three years, a new project funded by the Eco-Innovation programme (MUDP) under the Danish Environmental Protection Agency will be examining the effect of various climate-friendly initiatives that can promote a green transition for construction sites. ....

Lars Overgaard , Jochen Teizer , Lars Dithmer , Danish Technological Institute , Danish Environmental Protection Agency , Danish Centre For Environment , Department Of Civil , Aarhus University , Future Green Construction Sites , Per Aarsleff , Digital Building Twin , Associate Professor Jochen Teizer , Architectural Engineering , Danish Technological , Airlabs Denmark , Volvo Construction Equipment , Business Economics , Grants Funding , Technology Engineering Computer Science , Civil Engineering , Computer Science , Research Development , Climate Change , லார்ஸ் ஓவேர்கார்த் , டேனிஷ் தொழில்நுட்ப நிறுவனம் , டேனிஷ் மையம் க்கு சூழல் ,