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Combining these processes, we propose a schematic model of Late Pleistocene and Holocene landscape evolution.
Based on new results on the identification problem of linear hidden processes, we propose a connectionist network with biologically sound parameter tuning that can represent causal relationships and define events.
In light of the relationship between gas charging and reservoir densification periods during tight gas accumulation processes, we propose the following genetic classification: (a) "first accumulation then reservoir densification" conventional tight gas reservoirs, (b) "first reservoir densification then accumulation" deep tight gas reservoirs, and (c) composite tight gas reservoirs.
Considering all these processes, we propose a model for supply chain network design that takes demand uncertainty into account and includes decisions on supply chain responsiveness under different carbon policies: caps on supply chain carbon footprints, caps on market carbon footprints, and carbon taxes.
Because Pdro regulates these two processes, we propose that modulation of Pdro expression in response to sterol levels regulates LDL-derived cholesterol through both LDL uptake and LE/LY dynamics, to ultimately control free cholesterol homeostasis.
Finally, since Isc and Isc/R damages represent complications in atherosclerotic processes, we propose OA as a promising intervention in atherosclerotic patients.
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In contrast, motivated by human cognitive processes, we proposed a comparative deep learning framework, called Comparative Region Convolutional Neural Network (CRCNN), by first comparing the input face with reference faces of known age to generate a set of hints (comparative relations, i.e., the input face is younger or older than each reference).
On the other hand, since negatively correlated diseases, say disease A and A', may involve inversely regulated biological processes, we proposed that an anti-A drug may have an undesired property of inducing disease A' when the drug is inversing its target processes.
To carry out this process, we propose the construction of a mobile module in which carrot processing operations take place: hydrolysis, fermentation, and distillation.
To accomplish the measurement design process, we propose an Informative Measurement Design (IMD) method.
To prevent the deterioration caused by the process, we propose a selective averaging approach.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com