39 Matching Annotations
  1. Apr 2025
    1. s I examine my sofawith a deeper perception, I come to an energy phenomenon that is not auniversal presence or force and not just an accumulation of characteristicsand energies from outside itself but one that has its own particular unique,internally coherent and integrated organization. This is where I experiencethe sofa as something living, not in a biological way but in an energetic way.5

      for - question - sensing the energy of inanimate objects - I'm not sure what she means or how she does this?

  2. Jul 2024
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  5. Feb 2023
    1. cancer can be insidious
      • comment
      • this speaks to our fundamental limitations of cognition and sensory experiences
      • we only ever have a small window into reality, a small bit of knowledge or perception
      • every decision we make is based on constrained knowledge of reality
      • in the case of cancer or other diseases growing inside our body,
        • each of us is a multi-level superorganism
        • consciousness is at one higher level of the body
        • but it cannot access knowledge of the activities
        • at a lower microscopic level of the body
        • there is very little communication between these two levels
  6. Jul 2020
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  10. Nov 2019
  11. Oct 2019
    1. QS systems have been experimentally analyzed in more than 50 different bacterial species and shown to control expression of a wide spectrum of functions, including bioluminescence, virulence, symbiosis, different forms of motility, biofilm formation, production of antibiotics and toxins, and conjugation (49).
    1. PpuI, which directs the biosynthesis of the two AHLs 3-oxo-C10 and 3-oxo-C12 as major products; PpuR, the AHL receptor; and RsaL a repressor of ppul

      P. putida IsoF, isolated from tomato rhizosphere - quorum sensing

  12. Sep 2019
    1. These carboxylated AHLs facilitated the transition from a short cell to filamentous growth, with an altered carbon metabolic flux that favoured the conversion of acetate to methane and a reduced yield in cellular biomass

      Carboxylated AHL signalling favours methanogenesis in Methanosaeta herundinacea 6Ac

  13. Aug 2019
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  16. Feb 2017
    1. Comparison of ITCD algorithms is challenging when there are differences in study focus, study area, data applied, and accuracy assessment method used. Before 2005, the few studies that compared methods generally tested approaches on a common dataset.

      This difficulty in comparing algorithms (due to differences in forest type, location, and assessment strategy used for different algorithms) indicates a clear need for set of open data and centralized assessment to allow different methods to be competed against one another to determine the best routes forward.

      This kind of approach has been very successful in other image analysis problems (e.g., ImageNET).

      The National Ecological Observatory Network data seems ideal for doing something like this. Data is/will be available for a variety of different systems and with LiDAR, Hyperspectral, RGB, and field data for large numbers of plots.

    2. Additionally, it is often challenging to apply an algorithm developed in one forest type to another area.

      This difficulty of applying across forest types is central to the challenges of developing approaches that can be applied to continental scale data collection like that being conducted by NEON. Overcoming this challenge will likely require incorporating ecological information into models, not just the remote sensing, and determining how to choose and adjust different approaches to get the best delineations possible based on information about the forest type/location.

    3. The most useful information that can be incorporated into ITCD studies is the expected crown size and stand density [25,67].

      This kind of data is available for NEON plots and so these methods could potentially be well leveraged with NEON data. This would be particularly true if the NEON plot data could be used to develop a spatial model for these features that could be used to predict their values across space.

    4. Another limitation is that few approaches take full advantage of the information contained within remotely sensed data, e.g., using only one band of multispectral imagery [29] or only the canopy height model derived from LiDAR data [30]. Significant amounts of information are dismissed or neglected during data preparation or processing. The integration of multispectral data and discrete LiDAR data is commonly used to improve tree species classification [10] and fusion of passive and active remotely sensed data may reduce commission and omission errors in ITCD results [31].

      Excellent point about the importance of integrating all available data to make the best possible crown delineations. In the case of the National Ecological Observatory Network Airborne Observation Platform methods that leverage the LiDAR, hyperspectral, and high-resolution RGB photographic data should have the potential to outperform methods that ignore components of this data.

  17. Nov 2016
    1. MODIS provides consistent information on active fires, with omission and commission errors quantified in past work using ground observations and higher-resolution satellite imagery [e.g., (29–31)]

      More detailed data was required to supplement the MODIS based remote sensing to fully understand how it could be used for quantifying fire.