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Titlebook: Model Development and Optimization; Viktor V. Ivanov Book 1999 Springer Science+Business Media Dordrecht 1999 Mathematica.Notation.biology

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AI in Healthcare in India: Navigating the Ethical, Legal, and Social Implications,on, and medication. The application of AI in healthcare, nevertheless, has important ethical, legal, and societal ramifications. They encompass concerns about the influence on medical personnel and the healthcare system in its entirety, as well as problems like patient confidentiality, discriminatio
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Lateral Impact Behavior Study of a Car Doord of side impact protection by international car manufacturers and regulators. This article will present and study the effects produced during a lateral impact on a small impact area, the lateral impact with a pole impact. In the real world, impacts on small surfaces are collisions with rigid object
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,Whole-Exome Sequencing (WES) for Illumina Short Read Sequencers Using Solution-Based Capture,etic mutations and perform comprehensive diagnostic testing in the clinic. Whole-exome sequencing (WES) is a commonly used method which captures the majority of coding regions of the genome for sequencing, as these regions contain the majority of disease-causing mutations. The clinical applications
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Brand, Label, and Product Intelligencew deep-learning model that turns out to be effective for new unseen patient. The novelty of our approach relies on the use of topological data analysis to deal with individual differences. We show that our structure reaches the performances of the state-of-the-art methods for both arrhythmia detection and classification.
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Die IT-Landschaft vorbereiten, Auswirkungen hat die Digitalisierung auf Ihre zukünftige IT-Organisation? Sind die Personen Ihrer heutigen IT-Abteilung auch die Personen, die die Digitalisierung Ihrer Produkte umsetzen? Diese und andere Fragen werden in diesem Kapitel erörtert.
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Life-Long Privacy in the IoT? Measuring Privacy Attitudes Throughout the Life-Cycle of IoT DevicesIoT adoption. Nevertheless, participants have a propensity to keep using IoT devices even after they find out that the device abuses their trust. Finally, we provide recommendations to IoT vendors, to make their products more transparent in terms of privacy.
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