223 lines
17 KiB
XML
223 lines
17 KiB
XML
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<header>
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<dri:objIdentifier>doi_________::c166d06aeaed817937a79a400906a4b9</dri:objIdentifier>
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<dri:dateOfCollection>2023-03-09T00:12:02.045Z</dri:dateOfCollection>
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</header>
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<metadata>
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<collectedfrom name="OpenAPC Global Initiative"
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<originalId>50|openapc_____::c166d06aeaed817937a79a400906a4b9</originalId>
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<originalId>10.3390/pr9111967</originalId>
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<originalId>pr9111967</originalId>
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<originalId>50|doiboost____::c166d06aeaed817937a79a400906a4b9</originalId>
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<originalId>3209532762</originalId>
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provenanceaction="sysimport:crosswalk:datasetarchive" trust="0.9">10.3390/pr9111967
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</pid>
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<measure id="influence" score="5.187591E-9" class="C"/>
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<measure id="popularity" score="2.4479982E-8" class="C"/>
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<measure id="influence_alt" score="10" class="C"/>
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<measure id="popularity_alt" score="3.6" class="C"/>
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<measure id="impulse" score="10" class="C"/>
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<title classid="alternative title" classname="alternative title" schemeid="dnet:dataCite_title"
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schemename="dnet:dataCite_title">Digital Twins for Continuous mRNA Production
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</title>
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<bestaccessright classid="OPEN" classname="Open Access" schemeid="dnet:access_modes"
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schemename="dnet:access_modes"/>
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<dateofacceptance>2021-11-04</dateofacceptance>
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<description>The global coronavirus pandemic continues to restrict public life worldwide. An
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effective means of limiting the pandemic is vaccination. Messenger ribonucleic acid (mRNA)
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vaccines currently available on the market have proven to be a well-tolerated and effective
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class of vaccine against coronavirus type 2 (CoV2). Accordingly, demand is presently
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outstripping mRNA vaccine production. One way to increase productivity is to switch from the
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currently performed batch to continuous in vitro transcription, which has proven to be a crucial
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material-consuming step. In this article, a physico-chemical model of in vitro mRNA
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transcription in a tubular reactor is presented and compared to classical batch and continuous
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in vitro transcription in a stirred tank. The three models are validated based on a distinct and
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quantitative validation workflow. Statistically significant parameters are identified as part of
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the parameter determination concept. Monte Carlo simulations showed that the model is precise,
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with a deviation of less than 1%. The advantages of continuous production are pointed out
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compared to batchwise in vitro transcription by optimization of the space–time yield.
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Improvements of a factor of 56 (0.011 µM/min) in the case of the continuously stirred tank
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reactor (CSTR) and 68 (0.013 µM/min) in the case of the plug flow reactor (PFR) were found.
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</description>
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<subject classid="keyword" classname="keyword" schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies">Process Chemistry and Technology
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</subject>
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<subject classid="keyword" classname="keyword" schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies">Chemical Engineering (miscellaneous)
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</subject>
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<subject classid="keyword" classname="keyword" schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies">Bioengineering
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</subject>
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<subject classid="MAG" classname="Microsoft Academic Graph classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies">Coronavirus
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</subject>
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<subject classid="MAG" classname="Microsoft Academic Graph classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies" inferred="false"
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provenanceaction="sysimport:actionset" trust="0.4019353">medicine.disease_cause
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</subject>
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<subject classid="MAG" classname="Microsoft Academic Graph classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies" inferred="false"
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provenanceaction="sysimport:actionset" trust="0.4019353">medicine
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</subject>
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<subject classid="MAG" classname="Microsoft Academic Graph classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies">Continuous production
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</subject>
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<subject classid="MAG" classname="Microsoft Academic Graph classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies">Messenger RNA
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</subject>
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<subject classid="MAG" classname="Microsoft Academic Graph classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies">Continuous stirred-tank reactor
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</subject>
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<subject classid="MAG" classname="Microsoft Academic Graph classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies">Plug flow reactor model
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</subject>
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<subject classid="MAG" classname="Microsoft Academic Graph classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies">Mathematics
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</subject>
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<subject classid="MAG" classname="Microsoft Academic Graph classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies">In vitro transcription
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</subject>
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<subject classid="MAG" classname="Microsoft Academic Graph classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies">Biological system
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</subject>
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<subject classid="MAG" classname="Microsoft Academic Graph classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies">Yield (chemistry)
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</subject>
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<subject classid="MAG" classname="Microsoft Academic Graph classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies">Public life
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</subject>
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<subject classid="FOS" classname="Fields of Science and Technology classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies" inferred="true"
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inferenceprovenance="update" provenanceaction="subject:fos">03 medical and health sciences
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</subject>
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<subject classid="FOS" classname="Fields of Science and Technology classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies" inferred="true"
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inferenceprovenance="update" provenanceaction="subject:fos">0301 basic medicine
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</subject>
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<subject classid="FOS" classname="Fields of Science and Technology classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies" inferred="true"
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inferenceprovenance="update" provenanceaction="subject:fos">030104 Developmental Biology
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</subject>
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<subject classid="FOS" classname="Fields of Science and Technology classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies" inferred="true"
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inferenceprovenance="update" provenanceaction="subject:fos">0303 health sciences
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</subject>
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<subject classid="FOS" classname="Fields of Science and Technology classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies" inferred="true"
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inferenceprovenance="update" provenanceaction="subject:fos">030304 Developmental Biology
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</subject>
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<subject classid="FOS" classname="Fields of Science and Technology classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies" inferred="true"
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inferenceprovenance="update" provenanceaction="subject:fos">02 engineering and technology
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</subject>
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<subject classid="FOS" classname="Fields of Science and Technology classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies" inferred="true"
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inferenceprovenance="update" provenanceaction="subject:fos">0210 nano-technology
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</subject>
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<subject classid="FOS" classname="Fields of Science and Technology classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies" inferred="true"
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inferenceprovenance="update" provenanceaction="subject:fos">021001 Nanoscience &
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Nanotechnology
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</subject>
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<subject classid="FOS" classname="Fields of Science and Technology classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies" inferred="true"
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inferenceprovenance="update" provenanceaction="subject:fos">01 natural sciences
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</subject>
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<subject classid="FOS" classname="Fields of Science and Technology classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies" inferred="true"
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inferenceprovenance="update" provenanceaction="subject:fos">0104 chemical sciences
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</subject>
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<subject classid="FOS" classname="Fields of Science and Technology classification"
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schemeid="dnet:subject_classification_typologies"
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schemename="dnet:subject_classification_typologies" inferred="true"
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inferenceprovenance="update" provenanceaction="subject:fos">010405 Organic Chemistry
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</subject>
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<language classid="UNKNOWN" classname="UNKNOWN" schemeid="dnet:languages"
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schemename="dnet:languages"/>
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<relevantdate classid="created" classname="created" schemeid="dnet:dataCite_date"
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schemename="dnet:dataCite_date">2021-11-05
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</relevantdate>
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<relevantdate classid="published-online" classname="published-online" schemeid="dnet:dataCite_date"
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schemename="dnet:dataCite_date">2021-11-04
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</relevantdate>
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<source>Crossref</source>
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<source/>
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<resulttype classid="publication" classname="publication" schemeid="dnet:result_typologies"
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schemename="dnet:result_typologies"/>
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<resourcetype classid="0001" classname="Article" schemeid="dnet:publication_resource"
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schemename="dnet:publication_resource"/>
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<processingchargeamount>2146.08</processingchargeamount>
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<processingchargecurrency>EUR</processingchargecurrency>
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<journal issn="2227-9717">Processes</journal>
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<context id="covid-19" label="COVID-19" type="community"/>
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<context id="dth" label="Digital Twins in Health" type="community"/>
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<datainfo>
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<inferred>false</inferred>
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<deletedbyinference>false</deletedbyinference>
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<trust>0.9</trust>
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schemeid="dnet:provenanceActions" schemename="dnet:provenanceActions"/>
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</datainfo>
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<rels/>
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<accessright classid="OPEN" classname="Open Access" schemeid="dnet:access_modes"
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schemename="dnet:access_modes"/>
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<collectedfrom name="Crossref" id="openaire____::081b82f96300b6a6e3d282bad31cb6e2"/>
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<hostedby name="Processes" id="doajarticles::9c4841602dcae937ac9c86cfb03c5ee1"/>
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<dateofacceptance>2021-11-04</dateofacceptance>
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<instancetype classid="0001" classname="Article" schemeid="dnet:publication_resource"
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schemename="dnet:publication_resource"/>
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<pid classid="doi" classname="Digital Object Identifier" schemeid="dnet:pid_types"
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schemename="dnet:pid_types">10.3390/pr9111967
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</pid>
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<refereed classid="0000" classname="UNKNOWN" schemeid="dnet:review_levels"
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schemename="dnet:review_levels"/>
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<license>https://creativecommons.org/licenses/by/4.0/</license>
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<webresource>
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<url>https://doi.org/10.3390/pr9111967</url>
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</webresource>
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</instance>
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</children>
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</metadata>
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</result>
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</record> |