Page 135 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 3 – Internet of Bio-Nano Things for health applications
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ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 3




          In  this  manner  the  chemotactic  coefficient  is   bacteria  motility  properties  such  as  cooperative
          expressed in terms of “  ”. A direct solution for it   behavior. It is noteworthy that the negative values
          yields the exponential form and depends directly on   of  Bessel  functions  are  not  describing  physical
          the substrate density “  ”. Therefore, one arrives at:   solutions.  Because  of  this,  the  positive  values  of
                                                               bacteria  density  might  be  interpreted  in  terms  of
                                              
                   ⟹     (  ) =        [  (  ) ( −     )]    (    )   cooperative and competitive population, depending
                                           
                                                               on the width of distribution. Clearly this requires
                                                               the  option  of  square  of  the  Bessel  functions  that
                                                               provides only physical meaning. Therefore from Eq.
                                                               13 one arrives a the solutions given by:

                                                                                   (  ,   )  ∝    |      (  ,   )| 2   (    )













          Fig. 1 – The normalized chemotactic coefficient from Eq. 11 for
          up  to  4  values  of  number  “   ”,  denoting  the  order  of  Bessel
          functions.  For  this  it  is  assumed  the  unidimensional
                                                
          representation of s(x) =       [  .     ]      [  .    ∗    ].
          2.2 Charged Bacteria Density                         Fig. 2 – The normalized bacteria density   (  ,   ) as a function of
                                                               distance  (in  arbitrary  units)  for  the  first  3  orders  of  Bessel
          In  Fig.  1  up  to  4  different  distributions  of  the   functions  and  their  tentative  interpretation  in  terms  of
          normalized  chemotactic  coefficient  are displayed   cooperative population.
          under the assumption that the substrate density has   In Fig. 2 up to three possible bacteria density are
          the      quasi-stochastic      form        given     displayed.  For  this  a  normalization  function  was
          by           (  .      )       (  .       )   [10].   This   opted, and it reads 2.9    √   −    ×     where     is
                                        
          mathematical approach comes from the fact that the                                                  
          existence  of  periodical  manifestation  of  electric   about the 5% of     for this exercise (this is assumed
                                                                                  
                                                                                       
          behavior  would   exhibit  both  attraction  and     both free parameters     and    , to illustrate Fig. 2).
                                                                                              
          repulsion,  depending  the  state  of  pair:  bacteria-  Clealrly,  both  can  be  changed  in  more  analytic
          substrate.                                           scenarios. Therefore the density spectra for s fixed
                                                               time “T” reads:
          Thus,  positive  and  negative  values  with  rapid                                           2
          oscillation  along  the  distances  are  expected  to  be     (  ,   ) =       √   −    ×         |      (   −    ×       ,   ,   )|   (    )
          allowed by the motility of bacteria. One can see that   In fact, inspired at the criterion of [3] in which the
          the higher order exhibits a well-shaped peak.        bacteria  densities  have  a  steady-state  profile
                                                               centered in    −    ×     being this dependent on the
          2.3 The Bessel-Keller-Segel (BKS) Equation                                 
                                                               integer  “  ”.  One  can  see  that  while  the  order  of
          Therefore from Eq. 5 to Eq. 9 one arrives at a novel   Bessel function increases then one would expect the
          version  of  the  Keller-Segel  equation  called  BKS   cooperative  population  moves  with  distance;  as
          (Bessel-Keller-Segel), that is written below as:     seen in Fig. 2 the distributions moves to the right.

                 
                  (  ,   )      (  ,   )                       A  compelling  argumentation  of  why  one  calls
              
              [       ] +    [  ] + (   −     )  (  ,   ) =       (    )
                                                               cooperative  population  to  the  distribution  (yellow
          that  is  solvable  for  the  bacteria  density  yielding   color), can be directly seen in the width of each curve.
          imminently the integer-order Bessel functions:       Thus, when it is larger than the others, one arrives to
                                                               the fact that bacteria join each  other to perform a
                                   (  ,   )            (    )
                     (  ,   ) =   (  ,   ) =                   subsequent  action  ("Many  make  force”).  A  short
          Although a solid interpretation of Eq. 13 might not   width  is  perceived  as  The  number  of  individuals
          be adjusted to the scope of this paper, it is possible   along the time of interaction can be obtained from a
          to some extent to adjudicate a meaning in terms of   simple integration   (  ) = ∫       (  ,   ). Thus one can




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