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	<title>Mathematics/Statistics &#8211; BIOENGINEER.ORG</title>
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		<title>New insights into immune responses to malaria</title>
		<link>https://bioengineer.org/new-insights-into-immune-responses-to-malaria/</link>
					<comments>https://bioengineer.org/new-insights-into-immune-responses-to-malaria/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Fri, 23 Jul 2021 14:49:28 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Disease in the Developing World]]></category>
		<category><![CDATA[Immunology/Allergies/Asthma]]></category>
		<category><![CDATA[Infectious/Emerging Diseases]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Medicine/Health]]></category>
		<category><![CDATA[Vaccines]]></category>
		<guid isPermaLink="false">https://bioengineer.org/new-insights-into-immune-responses-to-malaria/</guid>

					<description><![CDATA[Credit: WEHI, Australia Advanced technologies have been used to solve a long-standing mystery about why some people develop serious illness when they are infected with the malaria parasite, while others carry the infection asymptomatically. An international team used mass cytometry &#8211; an in-depth way of characterising individual cells &#8211; and machine learning to discover &#8216;immune [&#8230;]]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">174469</post-id>	</item>
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		<title>Less-sensitive COVID-19 tests may still achieve optimal results if enough people tested</title>
		<link>https://bioengineer.org/less-sensitive-covid-19-tests-may-still-achieve-optimal-results-if-enough-people-tested/</link>
					<comments>https://bioengineer.org/less-sensitive-covid-19-tests-may-still-achieve-optimal-results-if-enough-people-tested/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 22 Jul 2021 18:58:03 +0000</pubDate>
				<category><![CDATA[Immunology]]></category>
		<category><![CDATA[Biology]]></category>
		<category><![CDATA[Epidemiology]]></category>
		<category><![CDATA[Immunology/Allergies/Asthma]]></category>
		<category><![CDATA[Infectious/Emerging Diseases]]></category>
		<category><![CDATA[Internal Medicine]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Medicine/Health]]></category>
		<category><![CDATA[Public Health]]></category>
		<category><![CDATA[Pulmonary/Respiratory Medicine]]></category>
		<category><![CDATA[Virology]]></category>
		<guid isPermaLink="false">https://bioengineer.org/less-sensitive-covid-19-tests-may-still-achieve-optimal-results-if-enough-people-tested/</guid>

					<description><![CDATA[Analysis suggests same epidemiological outcomes possible with rapid-antigen versus RT-PCR tests Credit: Philip Cherian, Sandeep Krishna and Gautam Menon, 2021, PLOS Computational Biology A computational analysis of COVID-19 tests suggests that, in order to minimize the number of infections in a population, the amount of testing matters more than the sensitivity of the tests that [&#8230;]]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">174408</post-id>	</item>
		<item>
		<title>Basic algorithms for undergraduates in a concise and readable form</title>
		<link>https://bioengineer.org/basic-algorithms-for-undergraduates-in-a-concise-and-readable-form/</link>
					<comments>https://bioengineer.org/basic-algorithms-for-undergraduates-in-a-concise-and-readable-form/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 22 Jul 2021 15:09:13 +0000</pubDate>
				<category><![CDATA[Science News]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Calculations/Problem-Solving]]></category>
		<category><![CDATA[Computer Science]]></category>
		<category><![CDATA[Computer Theory]]></category>
		<category><![CDATA[Education]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Science/Math]]></category>
		<category><![CDATA[Software Engineering]]></category>
		<category><![CDATA[Technology/Engineering/Computer Science]]></category>
		<category><![CDATA[Undergraduate]]></category>
		<guid isPermaLink="false">https://bioengineer.org/basic-algorithms-for-undergraduates-in-a-concise-and-readable-form/</guid>

					<description><![CDATA[Credit: World Scientific Every programmer is faced with a double challenge. There is, on the one hand, a need to master some programming language to overcome the technical hurdle of conveying our intentions to a machine that should be able to execute a well-defined sequence of commands&#8211;This aspect of how to write programs is taught [&#8230;]]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">174352</post-id>	</item>
		<item>
		<title>Rounding errors could make certain stopwatches pick wrong race winners</title>
		<link>https://bioengineer.org/rounding-errors-could-make-certain-stopwatches-pick-wrong-race-winners/</link>
					<comments>https://bioengineer.org/rounding-errors-could-make-certain-stopwatches-pick-wrong-race-winners/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Wed, 21 Jul 2021 16:51:39 +0000</pubDate>
				<category><![CDATA[Science News]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Sports/Recreation]]></category>
		<category><![CDATA[Technology/Engineering/Computer Science]]></category>
		<guid isPermaLink="false">https://bioengineer.org/rounding-errors-could-make-certain-stopwatches-pick-wrong-race-winners/</guid>

					<description><![CDATA[Simulated swimming race times show a small number of times recorded on quartzite oscillator-based devices are off by margins large enough to determine winners. Credit: David A. Faux WASHINGTON, July 21, 2021 &#8212; As the Summer Olympics draw near, the world will shift its focus to photo finishes and races determined by mere fractions of [&#8230;]]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">174284</post-id>	</item>
		<item>
		<title>Machine learning models to help photovoltaic systems find their place in the sun</title>
		<link>https://bioengineer.org/machine-learning-models-to-help-photovoltaic-systems-find-their-place-in-the-sun/</link>
					<comments>https://bioengineer.org/machine-learning-models-to-help-photovoltaic-systems-find-their-place-in-the-sun/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 20 Jul 2021 16:23:47 +0000</pubDate>
				<category><![CDATA[Chemistry]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Biomedical/Environmental/Chemical Engineering]]></category>
		<category><![CDATA[Chemistry/Physics/Materials Sciences]]></category>
		<category><![CDATA[Energy/Fuel (non-petroleum)]]></category>
		<category><![CDATA[Materials]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Robotry/Artificial Intelligence]]></category>
		<category><![CDATA[Software Engineering]]></category>
		<category><![CDATA[Technology/Engineering/Computer Science]]></category>
		<guid isPermaLink="false">https://bioengineer.org/machine-learning-models-to-help-photovoltaic-systems-find-their-place-in-the-sun/</guid>

					<description><![CDATA[Scientists develop algorithms that predict the output of solar cells, easing their integration into existing power grids Credit: https://unsplash.com/@scienceinhd With the looming threat of climate change, it is high time we embrace renewable energy sources on a larger scale. Photovoltaic systems, which generate electricity from the nearly limitless supply of sunlight energy, are one of [&#8230;]]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">174140</post-id>	</item>
		<item>
		<title>Swarm of autonomous tiny drones can localize gas leaks</title>
		<link>https://bioengineer.org/swarm-of-autonomous-tiny-drones-can-localize-gas-leaks/</link>
					<comments>https://bioengineer.org/swarm-of-autonomous-tiny-drones-can-localize-gas-leaks/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Wed, 14 Jul 2021 14:49:43 +0000</pubDate>
				<category><![CDATA[Science News]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Biotechnology]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Research/Development]]></category>
		<category><![CDATA[Robotry/Artificial Intelligence]]></category>
		<category><![CDATA[Technology/Engineering/Computer Science]]></category>
		<guid isPermaLink="false">https://bioengineer.org/swarm-of-autonomous-tiny-drones-can-localize-gas-leaks/</guid>

					<description><![CDATA[Credit: Mavlab/TU Delft When there is a gas leak in a large building or at an industrial site, human firefighters currently need to go in with gas sensing instruments. Finding the gas leak may take considerable time, while they are risking their lives. Researchers from TU Delft (the Netherlands), University of Barcelona, and Harvard University [&#8230;]]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">173739</post-id>	</item>
		<item>
		<title>The rat&#8217;s whiskers: multidisciplinary research reveals how we sense texture</title>
		<link>https://bioengineer.org/the-rats-whiskers-multidisciplinary-research-reveals-how-we-sense-texture/</link>
					<comments>https://bioengineer.org/the-rats-whiskers-multidisciplinary-research-reveals-how-we-sense-texture/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 13 Jul 2021 16:00:39 +0000</pubDate>
				<category><![CDATA[Science News]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Biomedical/Environmental/Chemical Engineering]]></category>
		<category><![CDATA[Electrical Engineering/Electronics]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Technology/Engineering/Computer Science]]></category>
		<guid isPermaLink="false">https://bioengineer.org/the-rats-whiskers-multidisciplinary-research-reveals-how-we-sense-texture/</guid>

					<description><![CDATA[Mathematicians and neuroscientists achieve breakthrough in understanding how whiskers &#8216;amplify&#8217; texture Credit: Nature Scientific Reports How we sense texture has long been a mystery. It is known that nerves attached to the fingertip skin are responsible for sensing different surfaces, but how they do it is not well understood. Rodents perform texture sensing through their [&#8230;]]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">173643</post-id>	</item>
		<item>
		<title>Danish student solves how the Universe is reflected near black holes</title>
		<link>https://bioengineer.org/danish-student-solves-how-the-universe-is-reflected-near-black-holes/</link>
					<comments>https://bioengineer.org/danish-student-solves-how-the-universe-is-reflected-near-black-holes/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Mon, 12 Jul 2021 15:37:14 +0000</pubDate>
				<category><![CDATA[Chemistry]]></category>
		<category><![CDATA[Astronomy]]></category>
		<category><![CDATA[Astrophysics]]></category>
		<category><![CDATA[Calculations/Problem-Solving]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Space/Planetary Science]]></category>
		<guid isPermaLink="false">https://bioengineer.org/danish-student-solves-how-the-universe-is-reflected-near-black-holes/</guid>

					<description><![CDATA[Credit: credit: interstellar.wiki/CC BY-NC License. In the vicinity of black holes, space is so warped that even light rays may curve around them several times. This phenomenon may enable us to see multiple versions of the same thing. While this has been known for decades, only now do we have an exact, mathematical expression, thanks [&#8230;]]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">173527</post-id>	</item>
		<item>
		<title>Of the same stripe: Turing patterns link tropical fish and bismuth crystal growth</title>
		<link>https://bioengineer.org/of-the-same-stripe-turing-patterns-link-tropical-fish-and-bismuth-crystal-growth/</link>
					<comments>https://bioengineer.org/of-the-same-stripe-turing-patterns-link-tropical-fish-and-bismuth-crystal-growth/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 08 Jul 2021 16:19:55 +0000</pubDate>
				<category><![CDATA[Chemistry]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Atomic/Molecular/Particle Physics]]></category>
		<category><![CDATA[Biology]]></category>
		<category><![CDATA[Biomechanics/Biophysics]]></category>
		<category><![CDATA[Chemistry/Physics/Materials Sciences]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<guid isPermaLink="false">https://bioengineer.org/of-the-same-stripe-turing-patterns-link-tropical-fish-and-bismuth-crystal-growth/</guid>

					<description><![CDATA[Scientists prove Turing patterns, usually studied in living organisms and chemical systems, also manifest at the nanoscale in monoatomic bismuth layers Credit: Yuki Fuseya from University of Electro-Communications One of the things the human brain naturally excels at is recognizing all sorts of patterns, such as stripes on zebras, shells of turtles, and even the [&#8230;]]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">173365</post-id>	</item>
		<item>
		<title>Danish invention to make computer servers worldwide more climate friendly</title>
		<link>https://bioengineer.org/danish-invention-to-make-computer-servers-worldwide-more-climate-friendly/</link>
					<comments>https://bioengineer.org/danish-invention-to-make-computer-servers-worldwide-more-climate-friendly/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 06 Jul 2021 16:35:13 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Calculations/Problem-Solving]]></category>
		<category><![CDATA[Climate Change]]></category>
		<category><![CDATA[Computer Science]]></category>
		<category><![CDATA[Internet]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Software Engineering]]></category>
		<category><![CDATA[Technology/Engineering/Computer Science]]></category>
		<category><![CDATA[Theory/Design]]></category>
		<guid isPermaLink="false">https://bioengineer.org/danish-invention-to-make-computer-servers-worldwide-more-climate-friendly/</guid>

					<description><![CDATA[Credit: University of Copenhagen An elegant new algorithm developed by Danish researchers can significantly reduce the resource consumption of the world&#8217;s computer servers. Computer servers are as taxing on the climate as global air traffic combined, thereby making the green transition in IT an urgent matter. The researchers, from the University of Copenhagen, expect major [&#8230;]]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">173103</post-id>	</item>
		<item>
		<title>Observation, simulation, and AI join forces to reveal a clear universe</title>
		<link>https://bioengineer.org/observation-simulation-and-ai-join-forces-to-reveal-a-clear-universe/</link>
					<comments>https://bioengineer.org/observation-simulation-and-ai-join-forces-to-reveal-a-clear-universe/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 06 Jul 2021 14:46:14 +0000</pubDate>
				<category><![CDATA[Chemistry]]></category>
		<category><![CDATA[Astronomy]]></category>
		<category><![CDATA[Astrophysics]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Robotry/Artificial Intelligence]]></category>
		<category><![CDATA[Space/Planetary Science]]></category>
		<guid isPermaLink="false">https://bioengineer.org/observation-simulation-and-ai-join-forces-to-reveal-a-clear-universe/</guid>

					<description><![CDATA[Credit: @ The Institute of Statistical Mathematics Japanese astronomers have developed a new artificial intelligence (AI) technique to remove noise in astronomical data due to random variations in galaxy shapes. After extensive training and testing on large mock data created by supercomputer simulations, they then applied this new tool to actual data from Japan&#8217;s Subaru [&#8230;]]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">173025</post-id>	</item>
		<item>
		<title>New research lifts the clouds on land clearing and biodiversity loss</title>
		<link>https://bioengineer.org/new-research-lifts-the-clouds-on-land-clearing-and-biodiversity-loss/</link>
					<comments>https://bioengineer.org/new-research-lifts-the-clouds-on-land-clearing-and-biodiversity-loss/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Wed, 30 Jun 2021 15:52:38 +0000</pubDate>
				<category><![CDATA[Science News]]></category>
		<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Climate Change]]></category>
		<category><![CDATA[Climate Science]]></category>
		<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[Ecology/Environment]]></category>
		<category><![CDATA[Forestry]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Technology/Engineering/Computer Science]]></category>
		<guid isPermaLink="false">https://bioengineer.org/new-research-lifts-the-clouds-on-land-clearing-and-biodiversity-loss/</guid>

					<description><![CDATA[Credit: Tim Macuga, QUT QUT researchers have developed a new machine learning mathematical system that helps to identify and detect changes in biodiversity, including land clearing, when satellite imagery is obstructed by clouds. Using statistical methods to quantify uncertainty, the research, published in Remote Sensing in Ecology and Conservation, analysed available satellite images of an [&#8230;]]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">172807</post-id>	</item>
		<item>
		<title>Quantum random number generator sets benchmark for size, performance</title>
		<link>https://bioengineer.org/quantum-random-number-generator-sets-benchmark-for-size-performance/</link>
					<comments>https://bioengineer.org/quantum-random-number-generator-sets-benchmark-for-size-performance/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 29 Jun 2021 15:32:36 +0000</pubDate>
				<category><![CDATA[Chemistry]]></category>
		<category><![CDATA[Atomic Physics]]></category>
		<category><![CDATA[Calculations/Problem-Solving]]></category>
		<category><![CDATA[Chemistry/Physics/Materials Sciences]]></category>
		<category><![CDATA[Computer Science]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Nuclear Physics]]></category>
		<category><![CDATA[Number Literacy/General Statistics]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
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		<guid isPermaLink="false">https://bioengineer.org/quantum-random-number-generator-sets-benchmark-for-size-performance/</guid>

					<description><![CDATA[At roughly the size of a fingertip, the integrated photonics chip delivers random number output more than twice as fast as conventional QRNGs. WASHINGTON, June 29, 2021 &#8212; As pervasive as they are in everyday uses, like encryption and security, randomly generated digital numbers are seldom truly random. So far, only bulky, relatively slow quantum [&#8230;]]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">172705</post-id>	</item>
		<item>
		<title>When did the first COVID-19 case arise?</title>
		<link>https://bioengineer.org/when-did-the-first-covid-19-case-arise/</link>
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		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Thu, 24 Jun 2021 19:59:29 +0000</pubDate>
				<category><![CDATA[Immunology]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Infectious/Emerging Diseases]]></category>
		<category><![CDATA[Internal Medicine]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Pulmonary/Respiratory Medicine]]></category>
		<guid isPermaLink="false">https://bioengineer.org/when-did-the-first-covid-19-case-arise/</guid>

					<description><![CDATA[Novel analysis suggests much earlier, more rapid spread than confirmed cases imply Using methods from conservation science, a new analysis suggests that the first case of COVID-19 arose between early October and mid-November, 2019 in China, with the most likely date of origin being November 17. David Roberts of the University of Kent, U.K., and [&#8230;]]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">172461</post-id>	</item>
		<item>
		<title>Viruses as communication molecules</title>
		<link>https://bioengineer.org/viruses-as-communication-molecules/</link>
					<comments>https://bioengineer.org/viruses-as-communication-molecules/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Wed, 23 Jun 2021 16:51:32 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Calculations/Problem-Solving]]></category>
		<category><![CDATA[Computer Science]]></category>
		<category><![CDATA[Environmental Health]]></category>
		<category><![CDATA[Epidemiology]]></category>
		<category><![CDATA[Infectious/Emerging Diseases]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<guid isPermaLink="false">https://bioengineer.org/viruses-as-communication-molecules/</guid>

					<description><![CDATA[How long do virus-laden particles persist in an elevator after a person infected with COVID-19 leaves? And is there a way to detect those particles? A group of electrical engineers and computer scientists at KAUST set out to answer these questions using mathematical fluid dynamics equations. &#8220;We found1 that virus-laden particles can still be detected [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/viruses-as-communication-molecules/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">172329</post-id>	</item>
		<item>
		<title>UM student, researchers analyze Montana childhood under vaccination</title>
		<link>https://bioengineer.org/um-student-researchers-analyze-montana-childhood-under-vaccination/</link>
					<comments>https://bioengineer.org/um-student-researchers-analyze-montana-childhood-under-vaccination/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 22 Jun 2021 13:36:55 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Epidemiology]]></category>
		<category><![CDATA[Infectious/Emerging Diseases]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Medicine/Health]]></category>
		<category><![CDATA[Pediatrics]]></category>
		<category><![CDATA[Vaccines]]></category>
		<category><![CDATA[Virology]]></category>
		<guid isPermaLink="false">https://bioengineer.org/um-student-researchers-analyze-montana-childhood-under-vaccination/</guid>

					<description><![CDATA[MISSOULA &#8211; The map of Montana Kayla Irish pulls up is peppered with red circles, each cluster providing details behind one of today&#8217;s timely topics &#8211; childhood vaccination. The project, led by Dr. Sophia Newcomer in the University of Montana&#8217;s Center for Population Health Research, is the first spatial scan analysis to identify hotspots of [&#8230;]]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">172173</post-id>	</item>
		<item>
		<title>System linked to operational hospitals, shorter lockdowns, lives saved</title>
		<link>https://bioengineer.org/system-linked-to-operational-hospitals-shorter-lockdowns-lives-saved/</link>
					<comments>https://bioengineer.org/system-linked-to-operational-hospitals-shorter-lockdowns-lives-saved/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Fri, 18 Jun 2021 09:58:20 +0000</pubDate>
				<category><![CDATA[Immunology]]></category>
		<category><![CDATA[Biology]]></category>
		<category><![CDATA[Epidemiology]]></category>
		<category><![CDATA[Health Care Systems/Services]]></category>
		<category><![CDATA[Infectious/Emerging Diseases]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Medicine/Health]]></category>
		<guid isPermaLink="false">https://bioengineer.org/system-linked-to-operational-hospitals-shorter-lockdowns-lives-saved/</guid>

					<description><![CDATA[A staged alert system, designed by scientists and public health officials to guide local policies, helped one city prevent hospital surges and long lockdowns, according to new research published in the journal Nature Communications. In a new study led by The University of Texas at Austin COVID-19 Modeling Consortium in collaboration with Northwestern University, researchers [&#8230;]]]></description>
		
					<wfw:commentRss>https://bioengineer.org/system-linked-to-operational-hospitals-shorter-lockdowns-lives-saved/feed/</wfw:commentRss>
			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">172017</post-id>	</item>
		<item>
		<title>New models predict fewer lightning-caused ignitions but bigger wildfires by mid century</title>
		<link>https://bioengineer.org/new-models-predict-fewer-lightning-caused-ignitions-but-bigger-wildfires-by-mid-century/</link>
					<comments>https://bioengineer.org/new-models-predict-fewer-lightning-caused-ignitions-but-bigger-wildfires-by-mid-century/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Wed, 16 Jun 2021 21:08:12 +0000</pubDate>
				<category><![CDATA[Science News]]></category>
		<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Atmospheric Science]]></category>
		<category><![CDATA[Climate Change]]></category>
		<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[Forestry]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Weather/Storms]]></category>
		<guid isPermaLink="false">https://bioengineer.org/new-models-predict-fewer-lightning-caused-ignitions-but-bigger-wildfires-by-mid-century/</guid>

					<description><![CDATA[CORVALLIS, Ore. &#8211; Human-caused wildfire ignitions in Central Oregon are expected to remain steady over the next four decades and lightning-caused ignitions are expected to decline, but the average size of a blaze from either cause is expected to rise, Oregon State University modeling suggests. Scientists including Meg Krawchuk of the OSU College of Forestry [&#8230;]]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">171870</post-id>	</item>
		<item>
		<title>Predicting the evolution of a pandemic</title>
		<link>https://bioengineer.org/predicting-the-evolution-of-a-pandemic/</link>
					<comments>https://bioengineer.org/predicting-the-evolution-of-a-pandemic/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Tue, 15 Jun 2021 15:51:40 +0000</pubDate>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Calculations/Problem-Solving]]></category>
		<category><![CDATA[Epidemiology]]></category>
		<category><![CDATA[Infectious/Emerging Diseases]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Systems/Chaos/Pattern Formation/Complexity]]></category>
		<guid isPermaLink="false">https://bioengineer.org/predicting-the-evolution-of-a-pandemic/</guid>

					<description><![CDATA[The inclusion of biological uncertainty and the latest case data can significantly improve the prediction accuracy of standard epidemiological models of virus transmission, new research led by KAUST and the Kuwait College of Science and Technology (KCST) has shown. Modern mathematical epidemic models have been tested like never before during the COVID-19 pandemic. These models [&#8230;]]]></description>
		
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			<slash:comments>0</slash:comments>
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">171719</post-id>	</item>
		<item>
		<title>New model accounts for the effect of behavior changes to predict COVID-19 cases</title>
		<link>https://bioengineer.org/new-model-accounts-for-the-effect-of-behavior-changes-to-predict-covid-19-cases/</link>
					<comments>https://bioengineer.org/new-model-accounts-for-the-effect-of-behavior-changes-to-predict-covid-19-cases/#respond</comments>
		
		<dc:creator><![CDATA[Bioengineer]]></dc:creator>
		<pubDate>Mon, 14 Jun 2021 15:00:17 +0000</pubDate>
				<category><![CDATA[Immunology]]></category>
		<category><![CDATA[Algorithms/Models]]></category>
		<category><![CDATA[Infectious/Emerging Diseases]]></category>
		<category><![CDATA[Mathematics/Statistics]]></category>
		<category><![CDATA[Medicine/Health]]></category>
		<category><![CDATA[Virology]]></category>
		<guid isPermaLink="false">https://bioengineer.org/new-model-accounts-for-the-effect-of-behavior-changes-to-predict-covid-19-cases/</guid>

					<description><![CDATA[PROVIDENCE, R.I. [Brown University] &#8212; By adding behavioral components to an infectious disease model, Brown University researchers have developed a new modeling approach that captures the peaks and valleys in new COVID-19 cases seen over the past 16 months. The approach, published in the journal Scientific Reports, could be useful in forecasting the future trends [&#8230;]]]></description>
		
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		<post-id xmlns="com-wordpress:feed-additions:1">171583</post-id>	</item>
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