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Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
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Newton’s first law is usually considered to be a statement about reference frames. It provides a method for identifying a special type of reference frame: the inertial reference frame. In principle, we can make the net force on a body zero. If its velocity relative to a given frame is constant, then that frame is said to be inertial. So, by definition, an inertial reference frame is a reference frame where Newton's first law holds valid. Newton's first law applies to objects with...
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A reference frame accelerating or decelerating relative to an inertial frame is a non-inertial frame. To help understand this, consider what taking off in an airplane, turning a corner in a car, riding a merry-go-round, and the circular motion of a tropical cyclone all have in common. All these systems are accelerating, decelerating, or rotating relative to the Earth; hence, they all are non-inertial frames. All these systems exhibit inertial forces, which merely seem to arise from motion,...
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The membrane domains concentrate specific lipids and proteins at one place within the membrane, which helps in cell signaling, adhesion, and other critical cellular processes. These domains can differ in size, composition, function, and lifespan.
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Human development is typically examined across three main domains: physical, cognitive, and socio-emotional. These domains represent the significant areas of change and continuity throughout the lifespan, from infancy to late adulthood.
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Ribosomal RNA (rRNA) sequence analysis revealed three distinct groups of cells: eukaryotes, bacteria, and archaea. In 1978, Carl R. Woese proposed the concept of domains, a taxonomic level above kingdoms, to differentiate these groups. He suggested that archaea and bacteria, despite their similar appearance, represent separate domains. Domains differ in rRNA, membrane lipid structure, transfer RNA, and antibiotic sensitivity.In this classification, animals, plants, and fungi belong to the...
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A cloud-edge reference architecture for intertwining health digital domains.

Adriano Tramontano1, Oscar Tamburis1, Giulio Perillo2

  • 1National Research Council of Italy, Institute of Biostructures and Bioimaging (IBB-CNR), Naples, Italy.

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|February 7, 2026
PubMed
Summary

LinkAll is a new architectural model for real-time remote monitoring across human, animal, and environmental health. It uses Edge-Computing and Internet of Things (IoT) for integrated data analysis, supporting One (Digital) Health goals.

Keywords:
cloud-edge computinghealth information exchangeinternet of thingsone health

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Area of Science:

  • Digital Health
  • Environmental Monitoring
  • Biomedical Informatics

Background:

  • Remote monitoring systems require integrated data analysis across diverse health domains.
  • Existing systems often lack the flexibility to incorporate varied data sources and ensure cross-referential capabilities.
  • The One (Digital) Health initiative emphasizes interconnectedness in health monitoring.

Purpose of the Study:

  • Introduce LinkAll, a novel architectural model for real-time, cross-referential data analysis.
  • Demonstrate LinkAll's application in distinct remote monitoring scenarios.
  • Evaluate LinkAll's performance in terms of integration, data collection, and cross-referencing.

Main Methods:

  • Leveraged Edge-Computing and Internet of Things (IoT) principles for data handling.
  • Developed two prototype systems: one for urban greenery monitoring and another for elderly home care.
  • Assessed system performance based on integration with existing infrastructure, biophysical parameter collection, and data cross-referencing.

Main Results:

  • Both implemented systems demonstrated effective pluggability and cross-referenceability.
  • LinkAll successfully integrated diverse sensors and devices into existing infrastructures.
  • The model provided real-time, machine-actionable insights, meeting stakeholder requirements.

Conclusions:

  • LinkAll's pluggability and cross-referenceability enhance data integration for One (Digital) Health.
  • Compliance with FAIR principles ensures robust and accessible data management.
  • The architectural model supports improved decision-making in interconnected health monitoring systems.