Presentation cybernetics immunology-ver1.02 (for-criticism)

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Immunity & Cybernetics
Immune System “Mystries”
& the Science of Cybernetics
Next Slides: ( “ImmunoCybernetic Features” = ICF )
GST – System Identification
HABIB’s 4Poles Approximation Method
Getting System-Roots from time-domain data !?!
Apology: bad Presentation-form!: EG Rivals: no MOUSE, Severe Microwave Tortures & DROWSY Fabrications

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Immunity & Cybernetics
( “ImmunoCybernetic Features” , ICF )
Immune System “Mysteries”
are best explored by
”Second Order Cybernetics”
Cybernetic Principles :
Greatly Enhances
Our “Scientific” Knowledge of
the Immune System
Eng. Emad Farag HABIB

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“ImmunoCybernetic Features” , ICF
Warning !
This is NOT a nice & streamlined Presentation,
This is an Advanced Scientific Presentation,
With a highly Specialized Content.
( ICF = “ImmunoCybernetic Features” ,
Not ISF: Interstittial Fuid,
Nor ECF: Extracellular Fluid )
Eng Eamd Farag HABIB
and … an “Apology” …
very bad Presentation-presentation !: due to my EG Rivals: disabling my Computer-MOUSE !!!!!!!!!,
In addition to Hinderances, Fabrications, and Tortures …
So , while Browsing this Presentation : Kindly Focus more on CONTENT rather than FORM
ag HABIB

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ImmunoCybernetic Features “ICF”
TOC
- Preface, TOC, and Immune System Overview
- The “Cybernetic Way”
The Cybernetic Perspective : Concepts of [Entropy, Probability, Uncertainity, and Stochastic Processes],
Universal “Conserved” Quantites: [ Matter / Energy / Information] !
- Typical Immune Dynamics
Dynamic Response: “Trends & Ranges” : via 3 Illustrative “Prototyped” Response Examples
- ImmunoCybernetic Features: the “Priorization” Concept !
- Priorization Concept Details, 7-Priorities
Immune Processes : [Sequence , Shift-Conditions, and Time Scales ] , 3 Priorization Examples
- Selected Citations, the “Waning Ab’s” Issue.
- Unique Dynamics of COVID19 (SARS-CoV-2)
What Leads to Hyper-Inflammation, Host-Anitgen Cybernetic Aspects (Factors Analysis)
Conclusion (Thrilling !) & References
[ including “Counter-Vagues” , “Counter-Fabs” ! ]

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[Inflam., Chemokines&Cytok/ Neut/ Scav.(Innate)/ Adaptive / Scav.(Adap.)/ Sustain/ Variants]
The Cybernetic way !
Issues like :
Antibodies’ : Specifity, Affinity, and ”Conserved-Regions”
Are effieciently dealt-with
within a “Bioinformatics” Context
But: Issues like :
Antibsodies’ : Diversification, Variants, and “Polymorphism”
are dealt-with more efficiently
within an “Information Theory” Context .
Next-Slides will Elaborate each set ,
Via Two “Bundles of Concepts, Terms, and Synonyms”.
d Farag HABIB

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Entropy, Probability, Uncertainity, and Stochastic Processes
Notions’ Bundles : "N#1", "N#2", "N#3" : [ N#1Entropy, N#2Random, and N#3Information ]
Uncertainity =~ “Ambiguity”(Blurred Set) + “Vagueness”(Blurred Element)
#3(Stochastic Processes) =~ #1(Uncertainty) + #2(Probability)
“Bioinformatics” & “Information Theory” !
Bundle A: is best tackled by Bioinformatics,
Bundle B: Information Theory.
Bundle B: the Less Common, Perplexing, Nasty, and Hard Bundle :
#B1: Uncertainty, (un-necessity?), Entropy, Disorder, Ambiguity, Vaugueness / Unlikelihood
#B2: Probability, Random, Chance
#B3: Stochastic Processes, Information (surprise), Info.Units(bits “cbits”, Macrostates),
In Immunology: Diversification, Variants, Polymorphism
Bundle A: the More Common, Comprehensible, Nice, and Easy Bundle :
#A1: Certainty, Necessity, (Organization?), Order, Accuracy, Precision / Likelihood (of logical reasoning)
#A2: Determinism, (neat?), (Non-Accidental?)
#A3: Deterministic Processes, Redundancy (as a Measure of Organization ),Units (bits “qubits”)
In Immunology: Specifity, Affinity, “Conserved Regions”
d Farag HABIB

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Entropy, Probability, Uncertainity, and Stochastic Processes
Notions’ Bundles : "N#1", "N#2", "N#3" : [ N#1Entropy, N#2Random, and N#3Information ]
Uncertainity =~ “Ambiguity”(Blurred Set) + “Vagueness”(Blurred Element)
#3(Stochastic Processes) =~ #1(Uncertainty) + #2(Probability)
“Bioinformatics” & “Information Theory” !
Bundle A: is best tackled by Bioinformatics,
Bundle B: Information Theory.
d Farag HABIB
Bundle B: the Less Common, Perplexing, Nasty, and Hard Bundle :
#B1: Uncertainty, (un-necessity?), Entropy, Disorder, Ambiguity, Vaugueness / Unlikelihood
#B2: Probability, Random, Chance
#B3: Stochastic Processes, Information (surprise), Info.Units(bits “cbits”, Macrostates),
In Immunology: Diversification, Variants, Polymorphism
Bundle A: the More Common, Comprehensible, Nice, and Easy Bundle :
#A1: Certainty, Necessity, (Organization?), Order, Accuracy, Precision / Likelihood (of logical reasoning)
#A2: Determinism, (neat?), (Non-Accidental?)
#A3: Deterministic Processes, Redundancy (as a Measure of Organization ), Units (bits “qubits”),
In Immunology: Specifity, Affinity, “Conserved Regions”

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Cybernetics & “Autopoiesis” :
Quote 1: “ .. Maturana’s autopoietic model
is a highly complex and comprehensive theoretical edifice.
.. The many applications that have been developed from it
in areas as diverse as family therapy,
Immunology, and management science
are testimony to its inherent richness. “
( quoted from Ernst von Glasersfeld, 2002,
“Cybernetics and the Theory of Knowledge” )
“ .. Cybernetics :
Quote 2: “ .. a meta-discipline , able to inspire Scientific Research
of all kinds, and to foster interdisciplinary cooperation “
( Scott, B., 2001, “Conversation Theory: a Dialogic, Constructivist Approach
to Educational Technology, Cybernetics and Human Knowing” )

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Entropy & Information
Quote 3: “ .. a misunderstanding of the concepts of Entropy versus Information ..
has led to the widespread perception of [Information Theory] incompetence.
[ It ] precisely defines both Entropy and Information, …
Using these concepts, it is possible .. to .. quantify the information content. “
(Christoph Adami , 2004, “Information Theory in Evolutionary Biology “ )
Information as a Core Feature
Quote 4: “Information is the central “currency” for organismal fitness.”
(Christoph Adami , ~2012, “The Use of Information Theory in Evolutionary Biology “ )
( Evolutionary in the sense of “Emergence” of Protiens & Information )

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In addition to our Current Immunolgy-Knoweldge that Covers :
"Biochemical Apparatus"  Innate-Adaptive, Humoral-Cellular Branches
A Cybernetic Perspective Enhances Our Knowledge to Cover also :
"Biochemical Apparatus"  Innate-Adaptive, Humoral-Cellular Branches
 Immune Tactics ( Threat Elimination Methods & Protection Levels )
 Immune Strategies (“Priorities”, Memory, Variants, …)  Immune (Organizational Rules)
 Immune (Information Theory Principles)  Immune (Cybernetics) .
Quote 5: “ .. The knowledge gained in the last two decades .. has been impressive.
Mathematical modeling of viral infections and immunity .. .. ..
(are) Important in modeling pathogens and immune response (including) :
Stochastic Models and Equations , ..
( Perelson AS, Ribeiro RM. .. modeling viral infections and immunity. Immunol Rev. 2018; doi.org/10.1111/imr.12700)
Underlying the Complexity of the Immune System : there resides
a “Cybernetic Construct” that is characterized by Core Cyberntic Features like :
Entropy, Probability, Uncertainity, and Stochastic Processes.

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Cybernetics explores Immune System Inherent & Core Features,
Features that can be termed the “ImmunoCybernetic Features” ICF ,
i.e. those Features related to the Central issue of “INFORMATION”
( rather than issues of “Matter” or even “Energy” !!! )
Analyzing the Immune Response from such Perspective : we discover that
the Immune System Processes that are “Apprently-Parallel" & Myriad :
While being "Effectively-Sequential“ ! & “Oligo”,
and are even more grouped into 7 Priorities Only ,
Priorities that the System Harmoniously Observes
to effectively & wisely manipulate an Intrinsic Limited-Number of
Threat-Elimination Methods (~7 methods only) .
Cybernetics helps Answering:
WHAT is being done? (by putting the answer in a Priorities-List ! ) ,
HOW it is being done? ( revealing a Sequential ! Conduct rather than parallel !! ) ,
WHY it is being done? ( INFORMATION-based, not Matter or Energy based !!! ).
( More will follow few slides later, after Analyzing some Immune Dynamics first )
Farag HABIB

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Apology: very bad Presentation-presentation !: due to my EG Rivals: disabling my Computer-MOUSE !!!!!!!!!
Typical Immune System Responses
(~ “Immune Profiles” )
- Viral Infection & Coronavirus Infection,
- Primary & Secondary Immune Responses,
- Vaccination & Exposure Dynamics.
these Examples: use protyped Values and Ranges,
for the sole purpose of portraying Response Trends & Profiles.

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All these results are COMPLETELY
My effort & success
No help of any sort from anyone
Prototyped Dynamics #1 of 3 ( for Illustrative Purposes Only )
Typical Viral Infection vs Coronavirus Infection
[Factors of: SARS-CoV-2 unique dynamics : ACE2, RBD hiding, and Immune Cell Infection ]
Viral Titre Issue :
SUMMARY: 0805 DIYK: incrasing ! / 0830 proved / 0905 explaied
: added to ppt 0830 (for elab) / removed ~0903 (controversial, no ref details) / 0905 added here for
~0805 curves, sure increasing (depite many sources: immidiate decrease!!)
0830 increasing proved ! : Increase till a peak, @ day~15
Paper / source: paper: “causal modelling “
( for weeks: I was corerct: sure of (increase) opposite to the paper that shown immdiate decrease
paradox (DIYK – Refs) explained: seems that (Plasma Levels remain the same, fixed, or possibly de
While “coronavirus”? Is repliating (and worse: is infecting immune cells)
urce: paper 20 2018 good, Math, Stochastic, .. (literature review), few pages!;; Modeling_viral_infections.pdf -
Infection: Typical vs Coronavirus
-80
-60
-40
-20
0
20
40
60
80
100
120
0 2 4 6 8
(Typical) Wellbeing/Disease
(Typical) Ab_Total
(Typical) AG_NET
(Typical) Inflamm
(Coronavirus) Wellbeing/Disease
(Coronavirus) Ab_Total
(Coronavirus) AG_NET
(Coronavirus) Inflamm
Ref (for this slide only: SARS-CoV-2 dynamics
(doi: 10.3389/fcimb.2021.563085 NSW, Australia) , ~ “Literature Review” Paper 2021
( X-Axis “Abscissa” relates more to System’s “Priorities”, than to “direct time durations” )

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My effort & success
Response: ( Primary / Secondary ) (SARS-CoV-2)
[ Factors of : Innate/Adaptive(/Innate!) Dynamics in Primary/Secondary Infections ]
Infection: ( Primary / Secondary ) Responses (note: COVID19)
-80
-60
-40
-20
0
20
40
60
80
100
120
0 2 4 6 8
(Primary) Wellbeing/Disease
(Primary) Ab_Total
(Primary) AG_NET
(Primary) Inflamm
(Secondary) Wellbeing/Disease
(Secondary) Ab_Total
(Secondary) AG_NET
(Secondary) Inflamm

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My effort & success
Response: ( Vaccination / Exposure ) (SARS-CoV-2)
[ Factors of : Immune Memory (Ab, Cellular), ~Adaptive Recall-Efficiency) ]
Vaccination: ( Injection / Exposure ) (note: COVID19, v.v.)
-40
-20
0
20
40
60
80
100
120
0 2 4 6 8
(Injection) Wellbeing/Disease
(Injection) Ab_Total
(Injection) AG_NET
(Injection) Inflamm
(Exposure) Wellbeing/Disease
(Exposure) Ab_Total
(Exposure) AG_NET
(Exposure) Inflamm

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Next Slides:
touring some quests & evidences
Manifesting One Immuno-Cybernetic Feature ICF (only)
Cybernetics tells that:
Underlying the Complexity of the Immune System
there resides “ImmunoCybernetic Features” (ICF)
One of such Features is the “PRIORITIES” Feature …
which simply stems from the Cybernetic Rule of “Entropy Optimization” .
Last Slides will Review & Reassure the existance & importance of
The Bundle of “ImmunoCybernetic Features” …

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The 7-levels Immunity-System Entropy-Optimizing Priorization Concept :
Cybernetics reveals a 7-Layers Entropy-Optimizing Priorization,
that the System Follows in an Amazingly Harmonious Fashion
in ALL its Immune Processes :
Abbreviated: [ Inflam.,Chemokines&Cytok / Neut. / Scav. (Innate) / Adaptive/
Scav.(Adap.)/ Sustain/ Variants ]
Full: [ Inflammation, Chemokines&Cytokines/ Neutralization/ Scavenge(Innate) / Initiate Adaptive/
Scavenge(Adaptive)/ Sustain Ab Production/ Ab Variants ]
The “7-Levels Priorization“

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Entropy-Optimizing Priorization provide a better “Structured Knowledge” Understanding,
Somehow similar to the : [Molecules, Macromolec., Organelles, Cells, T., Organs] in Anatomy !!!
Or the IT Field : “OSI Model” (Networks) ( Information Technology : OSI 7-layers Model)
But in a “CYBERNETIC”-Context :
Apology: very bad Presentation-presentation !: due to EG Rivals: disabling Computer-MOUSE !!!!!!!!! July,Aug2021
also: my hardly-obtained INTERNET Diagrams&Images
were Banned !!!!!! ( July 22nd 2021)
EMP Priorities
Variants
Sustain
Scav.(Adap.)
Adaptive
Scav. (Innate)
Neutraliztion
Inflam.,Chemokines&Cytok

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My effort & success
Immune Response: Detailed-Sequence shows Cybernetic-Priori
Immunity Sys.: Processes & Cybernetic Priorization / by. Eng. Emad Farag HABIB
Immune Process Notes/ Details/ Advanced/ Links
Initiation of Immune Response: Antigen (AG) attacks host:
(0): Initiation of Immune Response: Infection by a Pathogen (PG)
#1: Inflammation, Chemokines & Cytokines. (Non-Specific Immunity):
(Host) Tissue Damage
(Host Serum) Lysozymes + Some Cell types "engulf" PG: Infected-Cell Lysis (+Inflamm.) Cells: 3 [ Neutrophils, Monocells, and Eosinoph
(1): Inflammation is Triggered
Infected-cell: Cell Membrane Damage by Inflammation & Factors
(1): Chemokines & Cytokines abbreviated as : Chkck
#2: Neutralization of AG: (by "existing" Ab):
Complement System Activated
Infected-Cell: Lysis by NK Cells (+Inflamm.) Infected Cell: or generally Malfunctioning or AG
Opsonization (for Macrophage & APC)
Agglutation&Precipitation: Ab's "glue together" PG's [many PG's/serum-soluble PG's: precipitate] / l
Block Receptor Binding (of "threatened" Cells)
Infected-Cell Lysis: by [Basophil, Eosinophile, MAC] : Cx Activates Cells, Creates Membrane Attack C
(2): Neutralization of AG eff. Against "non opsonophillic" PG ?
#3: Scavenging (by: Non-specific : Non-Activated Macrophages + Existing Ab):
(3): Scavenge (Non-specific): Phagocytosis: by (Non-activated) Macrophages Fixed, Tissue
(3): Scavenge (Non-specific): Phagocytosis: by other Phagocytes [N., ~DC, ?? ]
#4: Initiation of Adaptive Immunity:
Non-Specific Cells: Process-Sequence: [N., DC, Tcell] : Activation/Maturation/Migration/ … Cells Recruitment: Role of Chemokines & Cyto
Non-Specific Cells acting: as APC APC types: 4 [ DC, Macrophage (To T.), B-cell
(4): Adaptive Immunity is Initiated: by Tcell Activation other methods exist
#5: Elimination: Production of "anew"-Abs:
"anew-Ab" production: by B-cell (Plasma Cells PC: Short-lived SLPC ) / high affinity (via GC)
(5): Scavenging (Adaptive): Infected-Cell Apoptosis (by Cytotoxic Tcell)
(5): Scavenging (Adaptive): Phagocytosis: by (Activated) Macrophages
#6: Sustaining:
(6): Sustained anew-Ab production: by B-cell (Plasma Cells PC: Long-lived LLPC )
#7: AG-Variants:
Immune "Memory" : by B-cell (BMEM)
System Sensitization : via B-cell Memory / System (Resolve/Equilibrate Chronic/Granuloma) / Higher Functions.
Resolve & Equilibration. / Managing 3-Marginal
(7): AG-Variants: [achieving both Specifity&Diversificatio of Ab], via GC Aspects [ Afinity, SLPC, LLPC, BN-Ab, .. ]
[Inflam.,
Chemokines&Cytok
/
Neut
/
Scav.(Innate)/
Adaptive
/
Scav.(Adap.)
/
Sustain
/
Variants]

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Cybernetics “Causal Train” Clearily reveals the existance of :
A “7-Levels Priorization”
[ Inflam.,Chemokines&Cytok / Neut. / Scav. (Innate) / Adaptive/
Scav.(Adap.)/ Sustain/ Variants ]
Immune System has Priorized Pathogen-Elimination Methods :
( will call them EMP#1 to EMP#7 : EMP=EndMeans Priorization , or Entropy Maximization Priorization)
starting by Seeking a Swift Elimination of the PG , via EMP #1Inflamm. ,
In addition to a “stopgap-use” of the existing “yet-nonspecific” Ab’s in
EMP #2Neutralization Process and in #3Scav. by Macrophage Cells ,
Followed by the full kicking-off of the EMP #4Adaptive Immunity
that launches the highly efficient "AG-specific" EMP #5Scav. ,
Alongwith EMP #6Sustaining the Production of Ab's irrespective of PG Presence ! ,
while wisely preparing for ongoing & next-rounds EMP #7Variants of that PG
by amazingly widening the Ab's Affinity & Diversification …

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IMMUNE SYSTEM : Cybernetics & "PRIORITIES": (Eng.e.f.HABIB,SystemThinking)/self-effort, till western collaborative setting / 0811, first draft 0803
#
EMP
System PRIORITY Elim. Methods of
Infected-Cell
~humoral
Contribution
~cellular
Contribution
~other mediators/
actors
for higher
Objectives:
Notes & Lists
( Structured Konwledge )
1 Inflammation 2: Membrane
Damage / Lysis
(Lysoymes)
Lysozymes incl.: Basophils,
Eosinophils,
Monocytes (cir.) /
Chemokines &
Cytokines
(Chmkk), IFN.
What causes "Inflammation" :
[ tissue damage/ Lysozymes/ Chmkk/ all (other) Cell
Elimination P. (lysis, phagocytes,..)/ .. ].
NK Cells: activated by IFN's (amid other IFNs
Functions)
2 Neutralization / NK 2: Neutralize AG //
NK
also: Block Cell
Ab (existing)
,Complement
System.
exceptional: NK Opsonization Ab 4Fns [ Activate Complementary (for NK &
'inactive; macrophage) / Opsonize AG (for
Macrophage & APC)/ Block Receptor Binding (Cell) /
Neutralize AG ].
Also "Agglutination".
3 Scavenging 1:Phagocytosis
Then digestion,
lysis, ...
Ab (existing)
,Complement
System.
exceptionall:
Macrophages
(Fixed=Tissue=not-
activated).
Macrophages : ~4 [ Fixed, Site, from monocytes / Not-
actived, Free, Circulating / Site, Activated, Attracted
(M1 pro, M2 anti)? / Mreg].
#1 : "tissue-macrophage system" : for "relativly non-
specific" threats, (bacteria carbohydrates , lipids : on
4 Adaptive Chemokines
& Cytokines
(existing
N. ==> DC ==> T-
cell
Chmkk: more/ APC:
is mainly by DC/
non-specific Elim.:
Elim.: Neutrophils do some non-specific Elim.
Later: Regulation of Innate: if (TCell.Reg) found:
(Inflamm) > (PG load) : migrate to site , supress
TCell.Eff & Macrophages.
5 Scavenging 2: Phagocytosis
(activated) / Cell
Apoptosis.
Macrophages
(activated),
Cytotoxic TCell.
APC (for both) Scav. till
Eliminating PG
presence.
APC types: 4 [ DC, Macrophage (To T.), B-cell, T-cel
l(Activated) ].
Macrophages act. By chemokines (&IFN) : some are
by already-existing macrophages !
Macrophages limit neutrophil-induced damage by
6 Sustain (for current/next
rounds)
TCells: (LLPC &
SLPC) produce
"anew Ab".
TCell (CD4=Th2) Production
irrespective of PG
presence.
TCell Types: 7 [ Naïve / "Proliferated" /Th1=CD8:
Macrophage , via IFN / Th2=CD4: Bcell / Cytotoxic /
mTfh / Reg.(suppressor): TCell & Macrophages ].
(term: Reg. vs Effective)
7 Variants (for next rounds) Bcells: Both High
(Affinity &
Diversification) !
VIMP: GC [in/Irrespective of ]
PG presence .
Exceptionallly:
Produce Ab
Bcell Types:5 [ Naive / Activ.? (APC) ? / LLPC /
SLPC/ BMEM (MBC's) ].
Immune Memory Formation:~retired Combatants
(~Monospecific): [B, T, PC] turns into MEM.
-
Cybernetics: Biochem.&Cytology← Innate-Adaptive, Humoral-C. Branches← "Leveled Protection" to Elim. the Threat← EndsMeans Priorities
Immune System has Priorized EndsMeans Objectives: starting by Seeking a Swift Threat Elimination by #1Inflamm., also a stopgap use of the "yet-inefficient" non-sp.
existing-Ab in #2Neutralization and in #3Scav. by the "yet-Inactive" M. Cells, that turns into an APC (cellular sequence : N., DC., TCell, M.) kicking off #4Adaptive
Immunity, that launches "AG-specific" #5Scav., and #6Sustaining Ab's Prod., while amazingly achieving #7Tackling Ab's Affinity & Diversity to any future AG Variants.

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IMMUNE SYSTEM : Cybernetics & "PRIORITIES" Details : (Eng.e.f.HABIB,SystemThinking)/self-effort, till western collaborative setting
#
EMP
System PRIORITY REGULATION
[Pro/Anti
Inflammatory]: Cell
Type
ANTIBODIES
Subtypes:
[NPSAb/
PSAb].
[NAb, Non-
NAb, BN-Ab ]
CELL TYPES
doing Mitigation
Output :
CONDITION to
Move to NEXT
Priority
DETAILS of
N →DC →T
(then M)
Notes & Lists
( Structured Konwledge )
1 Inflammation,
Chemokines &
Cytokines.
Pro:Baso., Eosi.,
Mono. (cir.)/ N./
also M. & Mast c.
(NA) (NA) Complement
Activation [by Ab's ,
for NK]
Inflammation
attracts N.
2 Neutralization / NK Pro: NK (side) NAb,NPSAb:
non-specific
"Neutralizing"
NK Opsonization [by
Ab's , for
Macrophages]
Opsonization
enhances
phagocytosis
3 Scavenging
(Innate, Non-sp.
Opsonization)
Pro:
Macrophages
(side)
Non-NAb,
NPSAb:
Opsonization
exceptionall: Macrophages
(Fixed=Tissue=not-
activated).
DC Activation: [by
AG-Ab, for TCell]
(must be "Enough")
some
Macrophages
turns APC
Macrophages : recognize relatively unspecific
carbohydrate components on the surface of bacteria
and ingest them by phagocytosis.
4 Adaptive Initiation Pro: N. Non-NAb (non-
specific):
Opsonization
N.
(Degranulation)
Macrophage
Activation: [by TCell,
for M.]
N arrival/ DC
attracted/ T
Activated (APC)
Sequence:
Systemic: Process-wise: [ N->DC->T->M ]
Local: Site-presence-wise: [ N->DC->M->T ]
5 Scavenging
(Adaptive, Full)
Pro:
Macrophages
(side).
NAb (specific):
Opsonization
Macrophages
(activated),
Cytotoxic TCell.
PG Eliminated Macrophages
activated &
Attracted (Fixed)
DC: [ in lymph nodes & spleen / Langerhans in skin ].
DC not activated unless confronted with "enough"
antigens.
6 Sustain (Ab
Production)
NAb (specific):
Opsonization.
Possible also:
(NA) Adequate PC for
enough Ab
- B-Cells Activator (by ~T-Cell): by 1.and.(2a.or.2b) :
#1(AGAB complex) and #2a(bacterial polysacheride)
or #2b(T-cell:Helper T H2)
7 Variants (of the AG) BNAb (non-
specific):
Opsonization
(NA) (NA) -
- (Abbrev.) Baso: Basophils, Eosi:
Eosinophils, Mono.:
Monocytes / cir. Circulating
/ M. Macrophages / NK:
Natural Killer Cells / N.
Neutrophils / (Side-
SideEffect) /
NPSAb: Non-
Pathogen-specific
Antobodies / PSAb:
Pathogen-specific
Antobodies / [NAb:
Neutralizing Ab, , Non-
NAb: Non- .. / BN-Ab:
Broading ..
(NA) : Not Applicable (Transition/ Threshold) DC: Denderitic Cells /
APC: Antigen-
Presenting Cells
Cybernetics: Biochem.&Cytology← Innate-Adaptive, Humoral-C. Branches← "Leveled Protection" to Elim. the Threat← EndsMeans Priorities
Immune System has Priorized EndsMeans Objectives: starting by Seeking a Swift Threat Elimination by #1Inflamm., also a stopgap use of the "yet-inefficient" non-sp.
existing-Ab in #2Neutralization and in #3Scav. by the "yet-Inactive" M. Cells, that turns into an APC (cellular sequence : N., DC., TCell, M.) kicking off #4Adaptive
Immunity, that launches "AG-specific" #5Scav., and #6Sustaining Ab's Prod., while amazingly achieving #7Tackling Ab's Affinity & Diversity to any future AG Variants.

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# System PRIORITY Pre-requisite(s) Output : CONDITION to Move to NEXT Priority
1 Inflammation,
Chemokines &
(Infection or
unhealthy cell)
Complement Activation [by Ab's , for NK]
2 Neutralization / NK Ab's + Complement
Activation
Opsonization [by Ab's , for Macrophages]
3 Scavenging (Innate,
Non-sp. Opsonization)
Opsonized AG DC Activation: [by AG-Ab, for TCell] (must be "Enough")
4 Adaptive Initiation DC Activated Macrophage Activation: [by TCell, for M.]
5 Scavenging (Adaptive,
Full)
Macrophave Activated PG Eliminated
6 Sustain (Ab
Production)
AG Eliminated Adequate PC for enough Ab
7 Variants (of the AG) Enough (anew) Ab's (NA)
ICF : Immune Priorities & Transition “CONDITIONS”
(expanded columns from previous table)

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My effort & success
Host-Antigen Cybernetic Aspects (Prototyped)
The Very Important issue of Processes “TIME SCALE”
Eng. Emad Farag
ImmunoCybernetic: Priorities & Transitions "TIME SCALES"
# Priority initilization
START peak END duration Ending Event (Shift) Accuracy Notes // Terms, ..
Notes
(dawning) (significant) (if any) (or Plateau) days
EMP1 Inflammation (s) ~(s) 2(d) 7(d) 7 EMP4-end { TCell.reg } also the M.activated
EMP2 Neutralization (s) ~(s) 2(d) 10(d) 10 EMP6-start { Sustain: PG-
Elimination }
[ 2(d) Non-sp, ~7(d)
Specific ]
EMP3 Macrophages
(Non-specific)
(s) ~(m) 3(d) 5(d) 5 EMP5-start { M. specific }
EMP4 Adaptive
Lauching
(m) 4(d) 4(d) 5(d) 2 EMP5-start { M. specific } End=Launched: not end
of "Adaptive"response,
which occupies the
whole EMP4-EMP7
range.
EMP4 onset in (m):
due to "N.
Abandance" allowing
rapid deployment to
site.
EMP5: Macrophages
(Specific)
(h)? 5(d) 10(d) 10(d) 5 EMP6-peak { via both
TCell(Eff) & TCell(Reg) }
M. balances cytokines
from both to determine
its state/ Irrespective of
PG-presence
EMP6: Sustain (PC's) 8(d)? 10(d)? 12(d)? - - (NA): Plateau "Sustain: Start=just
done Eliminating the PG
/ End: continues till
much wider timescalres
EMP6 start =Early
GC // peak(NAb)at
end of (Early
GC)and start of(Late
GC)
EMP7: Variants
(GC's)
(d) 4(d)? 8(d) ? 25(d)
?
21 ? (NA) Variants
(Diversification):
continues for wider
timescalres / peak:
zones separation .
EMP7 end =Late GC

26
EMP: Ex #1 of 3: An “Easy” Example
The Typical Balance of : Pro-Inflammatory, Anti-Inflammatory
how the “Priorization” Concept is “Manifested” in
The way that the System gets Shifted :
from
“Pro-Inflammatory” dynamics
( within EMP#1, EMP#2, EMP#3, EMP#4) …
( in an “As-much-as-possible” “AMAP” Inflammation fashion)
To
“Anti-Inflammatory” dynamics
( within EMP#5, EMP#6, EMP#7 )
( in a usual “Inflammation Regulation/Supression” Fashion,
to the level of “Abrogating” & Removing Effector T-cells from Site !
and Controlling Macrophages & DC's )

27
EMP: Ex #2 of 3: A “Known” Example
The Known “Delay” of TCell arrival to infection site
how the “Priorization” Concept is “Manifested” in
the Order of (T & M Cell Types) arrival to Infection Site
Despite the “Process” Sequence is …
N.  DC  TCell  Macrophages (both ~4th day)
( via processes of Activation, Maturation, Colonal Selection, and
the like, that takes place on the ~4th day, mostly at Surrogate_LN & LN )
... the Cells Arrival Sequence is :
Macrophages ~5th day  then Tcells ~7th day !!!
This Delay: aims at (amid other objectives) “allowing” some time
for the just-launched Efficient AG-Elimination by Specific-Ab “EMP#5”
to proceed, before Launching Full-scale Adaptive Immunity “EMP#6:7”.

28
EMP: Ex #3 of 3: A “Differential” Example
Immune-Dynamics: Infection-Phases Details
Focusing on Ab Production: System Clearily Changes (Reverses!)
its Priority (from Ab-Neutralization to Ab-Variants )
GC passes through 3 notable phases: Across the infection Phases:
[ pre GC / Early GC / Late GC ] :
In Pre_GC: GC is not triggered yet …
- In Early_GC: System simply Priorizes the EMP#5 (Scav. Specific)
(parallel to ongoing EMP#2 “Neutralization” : cf slide titled “Time Scales of the Immune System”),
hence producing Ab’s that are more-specific to the existing AG,
and are less-diversified ! (down to a lousy minimum diversification !!!!!) .
- In Late_GC: system moves to Priority
EMP#7 (Variants), prospering again
to producing Ab’s that are
more-diversified ! for ongoing&future challenges
(Diversity of Bcell & Ab reactivities: the BLUE Curve)
( one of the strangest curves ever in Biological cybernetics !,
as a “pure system dynamics” w/o any change in inputs ! )
Ref: Isaak Quast and David Tarlinton,“B cell memory:
understanding COVID-19” doi: 10.1016/j.immuni.2021.01.014

29
The Immuno-Cybernetic Feature of “Priorization”
Summary:
1- Limited # of Elimination Methods ( an Intrinsic-Feature of the Construct)
2- Priorized Utilization of these Methods (evident in Conditions & Time Scales)
3- Principled Priorization (Shift Conditions & the Principle of Least-Action!)
Details:
Upon “Cybernetically” examining the Immune System Dynamics,
One initially notices the “Limited” (FIXED !) number of intrinsic Elimination methods .
Then One Curiously finds that these Elimination methods are manipulated
in a perfectly “Priorized” way :
( as evident in slides of : "CONDITIONS" & "TIME-SCALES“ )
Priorized, depsite the "apprently-parallel" myriad of processes going on,
potential Threat Elimination Processes are "effectively-sequential" !
( “Sequential” in the balanced sense witnessed in many advanced Biological Processes :
Anabolism-Catabolism, NeuroHormonal Control, Neurons AP Summation Spatio-Temporal, Cardiac Muscle, ..
Then One Realizes that : this priorization is in fact more than just a sequence :
It is “Principled” ! , it “Strictly” follows “the “Principle of Least Action" !
( which links to “LeChatellier Principle” ) : Details are in next slide :

30
The Immuno-Cybernetic Feature of “Priorization”
Priorization is Evident Also upon Examining the CONDITIONS required
to shift from one immune State to another , Revealing that the System
follows a mere “Entropy-Optimization” Cybernetic-Rule .
( Entropy = A Probabilistic Measure of “Varieties”; “Number of possible System States” )
In each “shift CONDITION” (1-7 “0-6”) : the # of possible states (varieties)
is [gradually, cautiously, and economically] increased , i.e. the System
starts by the “least-number of Probable States”, then begins to escalate
but in an “as-gradual-as-possible” & “as-minimim-entropy-as-possible”
Manner ..
Examples of Processes with Notable Entropy-change : EX#1: Cells Activation, Maturation,
Differentiation and like processes (termed “VSCS” : Variable-Structure Control-Systems ) .
DOI:10.1371/journal.pone.0166163 . EX#2: “B Cells Diversification” Where new centrocytes
are in a state of “activated apoptosis” that compete for “Survival” signals !.
EX#3: Prevention of generation of “autoreactive” germinal center B cells.

31
Cybernetics & EMP: Selected “Citations” from Research Papers
Next 2 slides present ~Citations from Notable Papers,
Mentioning the “Immunity-System Priorities” Concept :
from 2 NotabIe Research papers :
One Paper (2018) : mentions somehow the notion of “PRIORITIES”
( in terms of : “FUNCTIONS”, “TASKS”, … )
The Second Paper (2021) : mentions the last 3 Items in the List,
( ”Scav. / Ab / Equil.”, and in EXACTLY the Same Order as the System’s Top “Priorities”)
(This paper Also mentions : the “Priorities” Concept under the name of “ATTRIBUTES”
of Immune Response-dynamics )

32
Citation # 1
Immune Priorities ( synonymed as : “FUNCTIONS”, “TASKS”, … ) :
“ ... the immune system is complex ...
assessing such system relies on
a precise knowledge of its components and FUNCTIONS
... many TASKS of the immune systems are performed
through complex interactions between its components ...
Tools to monitor and stratify the immune status are currently being studied but …
limitations such as … systematic interpretation …
new tools that give a comprehensive insight
into the immune FUNCTIONALITY …“
Author(s):
Chloé Albert-Vega, Dina M. Tawfik, Sophie Trouillet-Assant,
Laurence Vachot, François Mallet, and Julien Textoris
“Immune FUNCTIONAL Assays, From Custom to Standardized Tests for Precision Medicine”
https://doi.org/10.3389/fimmu.2018.02367
This outstanding paper concerns more the “Immune FUNCTIONAL Assays” (IFA’s) ,
However Authors brilliantly grasped the concept of “KEY-FEATURE”, “FUNCTION”, “TASK”,
and “FUNCTIONALITY” as a bigger picture to the ongoing interactions & processes.
Eng. Emad Farag H

33
Citation # 2
The a/m last “3 levels” : are highlighted in a Notable 2021 research paper,
, and in the same EMP Priorization order (just under somehow different names) :
“ … key challenges in establishing protective immune memory :
.. [#1] producing high-affinity neutralizing Abs,
[#2] maintaining production of such Abs,
and [#3] counteracting any ongoing variability of the pathogen.
… immune system …to address these issues … generation of [immune] memory, including
[#1] affinity maturation in GCs,
[#2] potentially life-long survival of PCs in specialized niches,
[#3] and breadth of reactivity in MBCs [BMEMs] .
… these ATTRIBUTES .. frequently occur in response to infection … vaccination … “
Author: Isaak Quast and David Tarlinton,“B cell memory: understanding COVID-19”,
2021 Jan 23. doi: 10.1016/j.immuni.2021.01.014
[ EMP: Ends-means Priorization / Ab: Antibody / GC GerminalCell / PC Plasma Cells / LLPC LongLife ../ MBC Memory B-Cells, BMEM ]
Terminology & Names :
[#1] (producing .. Abs) via (affinity maturation GCs): ≡(High-Affinity Neutralizing-Ab = ELIMINATION Efficiency : “ELIMINATE” )
[#2] (maintaining production .. Abs) via (.. life-long .. PCs ..): ≡ (Ab LLPC+BMEM=continued+anew Production: “SUSTAIN” )
[#3] (.. AG variability .. ) via ( .. Reactivity .. MBCs=BMEMs): ≡ ( Pathogen Variants –amid “OTHER Obj.”- : “VARIANTS” )
OTHER Obj.” Equil. : 7A: ~Managing : {High-Affin., GC iterative Prolif., #5} + 7B: ~Managing : {Sustained: LLPC: Q&Q of 4 [ Ab(pathogen-specific) :
tal & Neut. Ab + BMEM + mTfh ], #6 } + 7C: Managing 3-Marginal [ Autoimm./ Allergy/ Cancer ] (#1: Central / Periph. Tolerance) + 7D: Resolve & Equ
Note:1: EMP “OBJECTIVE” concept:

34
My effort & success
ImmuneResponse revisited: Entropy-Minimization ! En
Cybernetic-Priorization Stemming from Entropy-Minimization As-Much-As-Possible / by. Eng. Emad Farag HABIB (Ver 1.6 August 31th
CRITICAL Entropy
Process
MAJOR Entropy
Process
MINOR Entropy
Process
Zero or infinitesimal Entropy
Process
Notes &
Details
Initiation of Immune Response: Antigen (AG) attacks host: 0
(0): Initiation of Immune Response: Infection by a Pathogen (PG)
#1: Inflammation, Chemokines & Cytokines. (Non-Specific Immunity):
(Host) Tissue Damage
(Host Serum) Lysozymes + Some Cell types "engulf" PG: Infected-Cell Lysis (+Inflamm.)
(1): Inflammation is Triggered
Infected-cell: Cell Membrane Damage by Inflammation & Factors
(1): Chemokines & Cytokines
#2: Neutralization of AG: (by "existing" Ab):
Complement System Activated
Infected-Cell: Lysis by NK Cells (+Inflamm.)
Opsonization (for Macrophage & APC)
Agglutation&Precipitation: Ab's "glue together" PG's
Block Receptor Binding (of "threatened" Cells)
Infected-Cell Lysis: by [Basophil, Eosinophile, MAC] :
(2): Neutralization of AG
#3: Scavenging (by: Non-specific : Non-Activated Macrophages + Existing Ab):
(3): Scavenge (Non-specific): Phagocytosis: by (Non-activated) Macrophages
(3): Scavenge (Non-specific): Phagocytosis: by other Phagocytes [N., ~DC, ?? ]
#4: Initiation of Adaptive Immunity:
Non-Specific Cells: Process-Sequence: [N., DC, Tcell] : Activation/Maturation/Migration/ …
Non-Specific Cells acting: as APC
(4): Adaptive Immunity is Initiated: by Tcell Activation
#5: Elimination: Production of "anew"-Abs: 0
"anew-Ab" production: by B-cell (Plasma Cells PC: Short-lived SLPC ) / high affinity (via GC)
(5): Scavenging (Adaptive): Infected-Cell Apoptosis (by Cytotoxic Tcell)
(5): Scavenging (Adaptive): Phagocytosis: by (Activated) Macrophages
#6: Sustaining: 0
(6): Sustained anew-Ab production: by B-cell (Plasma Cells PC: Long-lived LLPC )
#7: AG-Variants: 0
Immune "Memory" : by B-cell (BMEM)
System Sensitization : via B-cell Memory / System (Resolve/Equilibrate Chronic/Granuloma) / Higher Functions.
(7): AG-Variants: [achieving both Specifity&Diversificatio of Ab], via GC
[Inflam.,
Chemokines&Cytok
/
Neut
/
Scav.(Innate)/
Adaptive
/
Scav.(Adap.)
/
Sustain
/
Variants]

35
Entropy Optimization :
Entropy Optimization Principle: a Thorough investigation of the
Sequence of Immune Processes Clearily reveals that the Immune
System is STRICKTLY OBSERVING the Optimized ENTROPY
Principle , i.e. Optimized Number of Possible System States Principl
This is evident in System’s Optimizatio of : [ Cell-types,
Cell-states, and Cell-numbers ] : An Optimization that the system
is keen-on in ALL its Response Dynamics ! :
Entropy is easily stated in Shannon’s Entropy Equation :
E = ∑ Px * Ln ( Px )
( other Alternative Entropy “Measures’” Definitions do exist, but are outside the scope of this PPT)

36
ICF : Immune Priorities & Transition “CONDITIONS”
Calculating System’s ENTROPY :
ie Macro Entropy for the Whole System,
By considering ALL relevant Types of Cells & Immune-Entities ! :
[ Body Cells, Ab, Cx, AG, NK, M, N, DC, T, and B ]
And their (states or modes),
we can calculate the Probability of System States :
the “Entropy“ (E) : as the Y-Axis
As it changes versus the immune Process Sequence
or list of : [ Infection onset, Infection prevailed !, Inflamm, Complement Activation,
NK, Neutralization, Opsonization, Marcophages (non-sp),
Scav. (non-sp), ADAPTIVE Activation (N-DC-T-M) ,
Scav. (Sp), Sustain, Variants, Resolve ] :
Plotted as the “Priorities“ (EMP) : as the X-Axis
The Chart Shows the Importance of the Entropy Concept,
and shows how The System Increases Entropy “cautionally” on an “on-need” basis
, System keeps “the Best for the Last” …

37
Entropy Change along the infection course ( Prototyped Values for Illustrative Purposes Only
Entropy
Change
(+/-)
E+:
AG:
Invades
Host
E+:
Body
Cells:
Inflamm.
E+:
Cx:
Activaated
E+:
NK:
Activated
E-:
Infected
Cells
Cytolysis
E+:Neutr.:
AG-Ab:
Complex
E-:
Cell
Protection
by
Ab’s.
E+:
AG-Ab:
Opsonization
E+:
M.:
Activated
E-:
Scav.:
AG
(Non-Sp.)
E+:
Adaptive:
[
N,
DC,
T,
M:
Change
of
State
/
AG:
Increase
in
#
]
E-:
Cytotoxic:
TCells
E-:
AG
Elimination
(Sp.)
E-:
Sustain:
AG
Elim.
(E+:
AG
variants
!
)
E+:
BCells
Sp.&Div.
E-:
AG
Variants
Elim.
(
ongoing
variants)
E-:
Resolve
many
E+
E-:
Full
Recovery
{{{
E+:
Waning
!!!
}}}
{{{
E+:
Preoccupied
!!!
}}}
[ Note: Values are NOT Normalized (0-10)! , Values are ACTUAL Entropy Sums, k=1 ]
Opsonization
Scav. (non-sp)
Cytotoxic T
Preoccupied
Waning
Sustain
Inflamm
Infection (prevailed)
4 Launch Adaptive
(N-DC-T-M)
Infection onset
Complement Activation
NK
Neutralization
Scav. (Sp)
Variants (Ongoing, within-
Host)
Resolve
Full
Recovery
0
1
2
3
4
5
6
7
8
9
10
Immune Priority (EMP1 : EMP7)
Entropy
Measure
(Dimensionless)

38
Entropy Change along the infection course ( Prototyped Values for Illustrative Purposes Only
Opsonization
Scav. (non-sp)
Cytotoxic T
Preoccupied
Waning
Sustain
Inflamm
4 Launch Adaptive
(N-DC-T-M)
Infection onset
Complement Activation
NK
Neutralization
Scav. (Sp)
Variants (Ongoing, within-
Host)
Resolve
Full
Recovery
0
1
2
3
4
5
6
7
8
9
10
Immune Priority (EMP1 : EMP7)
Entropy
Measure
(Dimensionless)
Values Main Ref: non(EMP) !!! ( hence values are not to be use/interpretted for this PG ! , a "reset" to a "fictious zero" is made next column)
EMP0- EMP0+ EMP1- EMP1+ EMP2+ EMP2++ EMP2+++ EMP3 EMP4 EMP5+ EMP5++ EMP6 EMP7+ EMP7++ EMP7+++ EMP7++++ non(EMP) = NOT same-pathogen ! : ( hence values are not to be use/interpretted for this PG !
EMP(x)
Ganong 17th p474 (#209) Preoccupied !
~ , Previous, Other !, Pathogens !! ( aka: "Preoccupied" immune system !! : residual Ab's, LLPC, .. )
Infection onset
(after "ficticious reset to zero"), cancel "preoccupation"
Inflamm Complement Activation
NK 5 Neutralization Opsonization Scav. (non-sp) Launch Adaptive (N-DC-T-M)
Scav. (Sp) 10 Cytotoxic T Sustain Variants (Ongoing, Intra-Host)
ie tackling of "this" round variants, not ( next or outside-host) variants
Resolveshort-term, recent, just achieved, start normalization, ..
Full Recovery
Longterm Resolve
15 Waning but without any (new) infection / for SCIENCE, not for ANY PERSON !! /
Preoccupied
(ex: resolve to ~20% directed toward ~CMV !!)
17 test variational column
notes # Cell Typesubtype /
state total # ∑px*ln(px)
total # ∑px*ln(px)
total # ∑px*ln(px) total # ∑px*ln(px) total # ∑px*ln(px) total # ∑px*ln(px) total # ∑px*ln(px) total # ∑px*ln(px)
Body Cells..healthy ## Body Cells healthy ##### 30,000 3E-10 ##### 30,000 3E-10 ##### 30,000 3E-10 ##### 25,000 0.1519 ##### 25,000 0.1519 ##### 24,000 0.1785 ##### 24,000 0.1785 ##### 24,000 0.1785 ##### 23,000 0.2037 ##### 20,000 0.2703 ##### 20,000 0.2703 ##### 20,000 0.2703 ##### 23,000 0.0767 26,000 25,000 0.03771222 27,100 27,000 0.00368322 27,000 27,000 3.7037E-10 27,050 27,000 0.00184672 27,000 27,000 3.7037E-10 Body Cells..healthy
27,000 27,000 3.7037E-10
..infected infected ####### 7E-09 ####### 7E-09 ####### 7E-09 5000 0.2986 5000 0.2986 6000 0.3219 6000 0.3219 6000 0.3219 7000 0.3396 10000 0.3662 10000 0.3662 10000 0.3662 2000 0.2021 1000 0.12531141 100 0.02067203 1.00E-05 8.0432E-09 50 0.01163294 1.00E-05 8.0432E-09 ..infected 1.00E-05 8.0432E-09
..Irrelevant Irrelevant ###### ###### ###### ###### ###### ###### ###### ###### ###### ###### ###### ###### ###### 1.00E+11 1.00E+11 1.00E+11 1.00E+11 1.00E+11 ..Irrelevant 1.00E+11
Ab.non-sp. 2 Ab non-sp ##### 900,000 0.0948 ##### 900,000 0.0948 ##### 900,000 0.0948 ##### 900,000 0.0948 ##### ##### ##### ##### ##### ##### ##### ##### ##### 9,330,000 ######## ######## 5,000,650 ######## Ab.non-sp. ########
.sp. sp 100,000 0.2303 100,000 0.2303 100,000 0.2303 100,000 0.2303 (starting) (starting) (starting) (starting) (starting) (starting) (starting) (starting) (starting) .sp. (starting)
.variants (now). variants (now) ####### 7E-09 ####### 7E-09 ####### 7E-09 ####### 7E-09 .variants (now).
.variants (anew). variants (anew) ####### 7E-09 ####### 7E-09 ####### 7E-09 ####### 7E-09 .variants (anew).
..free value = dynamic value ( continous production by producing cells,,)
free 900000 0.0948 900000 0.0948 900000 0.0948 870000 0.1212 900000 0.1251 1000000 0.1248 3000000 0.0597 3000000 0.0651 7000000 0.031 9000000 0.03473676 10000000 0.00061942 10000000 9.9999E-06 (half) 5000000 0.00012997 (double) 20000000 0.00011498 ..free 10000000 9.9999E-06
..neutralizing neutralizing ####### 3E-10 ####### 3E-10 ####### 3E-10 ####### 3E-10 ####### 2E-10 5000 0.0236 7000 0.0134 7000 0.0133 20000 0.0163 22000 0.01426569 1000 0.00092053 1.00E-05 2.7631E-11 500 0.00092093 1000 0.00049512 ..neutralizing 1.00E-05 2.7631E-11
..opso opso ####### 3E-10 ####### 3E-10 ####### 3E-10 30000 0.1052 30000 0.1023 20000 0.0702 20000 0.0317 20000 0.0316 8000 0.0075 8000 0.00605492 100 0.00011506 1.00E-05 2.7631E-11 50 0.00011512 500 0.00026489 ..opso 1.00E-05 2.7631E-11
..for Cx for Cx 100000 0.2303 100000 0.2303 100000 0.2303 100000 0.2303 100000 0.2252 100000 0.2118 100000 0.1084 100000 0.1079 100000 0.0592 100000 0.04861544 100 0.00011506 1.00E-05 2.7631E-11 50 0.00011512 500 0.00026489 ..for Cx 1.00E-05 2.7631E-11
..cell protect cell protect ####### 3E-10 ####### 3E-10 ####### 3E-10 ####### 3E-10 10000 0.0447 30000 0.0948 70000 0.0837 90000 0.1001 100000 0.0592 200000 0.08237241 5000 0.00379841 100 0.00011513 50 0.00011512 300 0.00016659 ..cell protect 100 0.00011513
..vanished! vanished! ..vanished!
cx.Classical&Alternative.not-VSCS
3 cx Classical&Alternative
not-VSCS ##### 2E+06 1E-11 ##### 2E+06 1E-11 ##### 2E+06 1E-11 ##### 2E+06 1E-11 ##### 1E+06 0.3164 ##### 1E+06 0.3164 ##### 1E+06 0.3164 ##### 1E+06 0.3164 ##### 1E+06 0.3164 ##### 1E+06 0.3164 ##### 1E+06 0.3164 ##### 1E+06 0.3164 ##### 1E+06 0.3164 1,900,000 1100000 0.31642004 1,600,000 1600000 1.25E-11 1,900,000 1900000 1.0526E-11 1,600,000 1600000 1.25E-11 1,900,000 1800000 0.05122158 cx.Classical&Alternative.not-VSCS
1,900,000 1900000 1.0526E-11
..VSCS VSCS 2E-05 3E-10 2E-05 3E-10 2E-05 3E-10 2E-05 3E-10 800000 0.3642 800000 0.3642 800000 0.3642 800000 0.3642 800000 0.3642 0 800000 0.3642 800000 0.3642 800000 0.3642 800000 0.3642 800000 0.36420945 0.00002 3.1382E-10 0.00002 2.6608E-10 0.00002 3.1382E-10 100000 0.15497047 ..VSCS 0.00002 2.6608E-10
..vanished! vanished! ..vanished!
AG..neutralized 4 AG neutralized ##### ####### ###### ##### ####### ###### ##### ####### ###### 20000 ####### ###### 20000 ####### ###### 20000 ####### ###### 20000 2000 ###### 23000 2000 ###### 4600 2000 ###### 15400 2500 ###### 8300 3000 ###### 8300 3000 ###### 8300 5000 ###### 9300 7000 2.14E-01 70.00001 25 3.68E-01 1.00004 1.00E+00 4.00E-05 70.00001 25 3.68E-01 1.00004 1.00E+00 4.00E-05 AG..neutralized
1.00004 1.00E+00 4.00E-05
..osponized osponized ####### ###### ####### ###### ####### ###### ####### ###### ####### ###### ####### ###### ####### ###### 6000 ###### 600 ###### 800 ###### 1000 ###### 1000 ###### 1000 ###### 1000 2.40E-01 10 2.78E-01 1.00E-05 1.15E-04 10 2.78E-01 1.00E-05 1.15E-04 ..osponized 1.00E-05 1.15E-04
..free free 200,000 ###### 200,000 ###### 200,000 ###### 18,000 ###### 18,000 ###### 18,000 ###### 16,000 ###### 12,000 ###### 1,000 ###### 10,000 ###### 3,000 ###### 3,000 ###### 900 ###### 700 1.95E-01 10 2.78E-01 1.00E-05 1.15E-04 10 2.78E-01 1.00E-05 1.15E-04 ..free 0 1.15E-04
..intracellular intracellular ####### ###### ####### ###### 20000 ###### 2,000 ###### 2,000 ###### 2,000 ###### 2,000 ###### 3,000 ###### 1,000 ###### 2,000 ###### 1,000 ###### 1,000 ###### 500 ###### 300 1.11E-01 0 2.25E-06 1.00E-05 1.15E-04 0 2.25E-06 1.00E-05 1.15E-04 ..intracellular 0 1.15E-04
..variant! variant! ####### ###### ####### ###### ####### ###### ####### ###### ####### ###### ####### ###### ####### ###### ####### ###### ####### ###### 100 ###### 300 ###### 300 ###### 900 ###### 300 1.11E-01 25 3.68E-01 1.00E-05 1.15E-04 25 3.68E-01 1.00E-05 1.15E-04 ..variant! 1.00E-05 1.15E-04
..(Non-zero, no-Naiive Immune System!) (Non-zero, no-Naiive Immune System!)
1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0.000983 1 0.060693 1 4E-05 1 0.060693 1 4E-05 1 4E-05
..vanished! vanished! 180,000 180,000 180,000 180,000 180,000 180,000 #### -10,800 7,100 0 0 -1,000 9,200 70 ..vanished! 70
NK..in 5 NK in 50 50 50 50 50 50 50 50 50 50 50 10 0.3219 50 10 0.3219 50 10 0.3219 50 10 0.3219 50 10 0.3219 50 10 0.3219 50 10 0.3219 50 10 0.3219 50 10 0.32188758 50.00001 50 2E-07 50.00001 50 2E-07 50.00001 50 2E-07 50.00001 50 2E-07 NK..in 50.00001 50 2E-07
..~activatedComplement IFN, Cx, .. ~activated ####### ####### ####### 40 0.1785 40 0.1785 40 0.1785 40 0.1785 40 0.1785 40 0.1785 40 0.1785 40 0.1785 40 0.17851484 1.00E-05 3.085E-06 1.00E-05 3.085E-06 1.00E-05 3.085E-06 1.00E-05 3.085E-06 ..~activated 1.00E-05 3.085E-06
M.non-sp.~idle 6 M non-sp ~idle 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 540 6E-08 5540 40 0.0356 5540 40 0.0356 10540 40 0.0212 10540 40 0.0212 13540 40 0.0172 17540 40 0.01387311 540 540 5.5556E-08 540 540 5.5556E-08 540 540 5.5556E-08 540 540 5.5556E-08 M.non-sp.~idle 540 540 5.5556E-08
..phagoing! phagoing! ####### ####### ####### ####### ####### ####### ####### ####### 3E-07 500 0.2171 500 0.2171 500 0.1446 500 0.1446 500 0.1218 500 0.1014148 1.00E-05 3.2971E-07 1.00E-05 3.2971E-07 1.00E-05 3.2971E-07 1.00E-05 3.2971E-07 ..phagoing! 1.00E-05 3.2971E-07
.sp.~idle sp ~idle ####### ####### ####### ####### ####### ####### ####### ####### 3E-07 5000 0.0926 1000 0.309 2000 0.3154 2000 0.3154 1000 0.1924 2000 0.24758687 1.00E-05 3.2971E-07 1.00E-05 3.2971E-07 1.00E-05 3.2971E-07 1.00E-05 3.2971E-07 .sp.~idle 1.00E-05 3.2971E-07
..phagoing! phagoing! ####### ####### ####### ####### ####### ####### ####### ####### 3E-07 ####### 4E-08 4000 0.2352 8000 0.2093 8000 0.2093 12000 0.107 15000 0.13378032 1.00E-05 3.2971E-07 1.00E-05 3.2971E-07 1.00E-05 3.2971E-07 1.00E-05 3.2971E-07 ..phagoing! 1.00E-05 3.2971E-07
..Irrelevant Irrelevant ..Irrelevant
N..not-VSCS 7 N not-VSCS 5400 5400 5400 5400 5400 5400 5400 5400 5400 5400 5400 5400 5400 5400 5400 5400 5400 5400 5400 1000 0.3123 6800 800 0.2518 6800 800 0.2518 8000 500 0.1733 8000 500 0.1732868 5400 5400 3.7037E-09 5400 5400 3.7037E-09 5400 5400 3.7037E-09 5400 5400 3.7037E-09 N..not-VSCS 5400 5400 3.7037E-09
..VSCS VSCS ####### ####### ####### ####### ####### ####### ####### ####### ####### 3400 0.2913 3000 0.361 3000 0.361 500 0.1733 500 0.1732868 1.00E-05 3.7235E-08 1.00E-05 3.7235E-08 1.00E-05 3.7235E-08 1.00E-05 3.7235E-08 ..VSCS 1.00E-05 3.7235E-08
..apo apo ####### ####### ####### ####### ####### ####### ####### ####### ####### 1000 0.3123 3000 0.361 3000 0.361 7000 0.1168 7000 0.11683997 1.00E-05 3.7235E-08 1.00E-05 3.7235E-08 1.00E-05 3.7235E-08 1.00E-05 3.7235E-08 ..apo 1.00E-05 3.7235E-08
..Irrelevant Irrelevant 8000 ..Irrelevant
DC..not-VSCS
start by 10% M
8 DC not-VSCS 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 50 95 50 0.3378 95 50 0.3378 95 50 0.3378 95 50 0.3378 115 50 0.3621344 85 50 0.31213427 50.00002 50 4E-07 50.00002 50 4E-07 50.00002 50 4E-07 DC..not-VSCS
50.00002 50 4E-07
..VSCS (but not APC) VSCS (but not APC)
####### ####### ####### ####### ####### ####### ####### ####### ####### 10 0.237 10 0.237 10 0.237 10 0.237 15 0.26568025 10 0.25177249 1.00E-05 3.085E-06 1.00E-05 3.085E-06 1.00E-05 3.085E-06 ..VSCS (but not APC) 1.00E-05 3.085E-06
..APC APC ####### ####### ####### ####### ####### ####### ####### ####### ####### 35 0.3679 35 0.3679 35 0.3679 35 0.3679 50 0.3621344 25 0.35993395 1.00E-05 3.085E-06 1.00E-05 3.085E-06 1.00E-05 3.085E-06 ..APC 1.00E-05 3.085E-06
T..not-VSCS
start by 15% M @ inflamm , then 2% Equil.
9 T not-VSCS 200 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 1460 50 0.1156 1465 50 0.1153 1660 50 0.1055 550 50 0.218 400 50 0.25993019 1140 100 0.21347485 1300 100 0.19730379 600 100 0.29862657 2100 100 0.14497726 T..not-VSCS 1100 100 0.21799047
.eff(CD4).VSCS eff(CD4)VSCS ####### ####### ####### ####### ####### ####### ####### ####### ####### 700 0.3525 350 0.342 350 0.3282 100 0.31 25 0.1732868 10 0.0415456 1.00E-05 1.4372E-07 1.00E-05 2.985E-07 1.00E-05 9.1251E-08 .eff(CD4).VSCS 1.00E-05 1.6833E-07
eff(CD8) this is NOT forgetting !! , this is "first draft then more elaborated" ..
VSCS ####### ####### ####### ####### ####### ####### ####### ####### ####### 700 0.3525 350 0.342 350 0.3282 100 0.31 25 0.1732868 10 0.0415456 1.00E-05 1.4372E-07 1.00E-05 2.985E-07 1.00E-05 9.1251E-08 1.00E-05 1.6833E-07
.reg.VSCS reg VSCS ####### ####### ####### ####### ####### ####### ####### ####### ####### ####### 1E-07 700 0.3529 700 0.3641 200 0.3679 50 0.25993019 20 0.07093072 1.00E-05 1.4372E-07 1.00E-05 2.985E-07 1.00E-05 9.1251E-08 .reg.VSCS 1.00E-05 1.6833E-07
..Cytotoxic Cytotoxic ####### ####### ####### ####### ####### ####### ####### ####### ####### 10 0.0341 10 0.034 200 0.255 50 0.218 50 0.25993019 1.00E-05 1.6273E-07 1.00E-05 1.4372E-07 1.00E-05 2.985E-07 1.00E-05 9.1251E-08 ..Cytotoxic 1.00E-05 1.6833E-07
.Mem.(active)
mem= for (current, future variants) of THIS Pathogen, not (previous pathogens)
Mem (active) 100 0.3665 ####### ####### ####### ####### ####### ####### ####### ####### ####### 1E-07 5 0.0194 10 0.0308 50 0.218 200 0.34657359 1000 0.11493708 1200 0.0738856 500 0.15193468 2000 0.04646684 .Mem.(active) 1000 0.08664565
..Irrelevant Irrelevant ###### ###### ###### ###### ###### 1.00E-05 1.00E-05 1.00E-05 1.00E-05 ..Irrelevant 1.00E-05
B..not-VSCS
includes both SLPC, LLPC
10 B not-VSCS 250 100 0.3665 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 3500 100 0.1016 5150 100 0.0765 5700 100 0.0709 2100 100 0.145 4000 100 0.09222199 1400 100 0.18850409 1350 100 0.19279183 600 100 0.29862658 2100 100 0.14497726 B..not-VSCS 1100 100 0.21799048
.PC.VSCS(LLPC) PC VSCS(LLPC) ####### 7E-07 ####### ####### ####### ####### ####### ####### ####### ####### 1400 0.3665 2000 0.3673 2500 0.3615 1000 0.3533 1200 0.36119184 200 0.27798716 250 0.3122961 100 0.29862658 1200 0.31978045 .PC.VSCS(LLPC) 1.00E-05 1.6833E-07
..VSCS(SLPC) VSCS(SLPC) 50 0.3219 ####### ####### ####### ####### ####### ####### ####### ####### 2000 0.3198 3000 0.3148 3000 0.3378 500 0.3417 2000 0.34657359 100 0.18850409 1.00E-05 1.3867E-07 1.00E-05 2.985E-07 1.00E-05 9.1251E-08 ..VSCS(SLPC) 1.00E-05 1.6833E-07
.Mem.VSCS Mem VSCS 100 0.3665 ####### ####### ####### ####### ####### ####### ####### ####### ####### 6E-08 50 0.045 100 0.0709 500 0.3417 700 0.30501963 1000 0.24033731 1000 0.2222997 400 0.27031008 800 0.36764987 .Mem.VSCS 1000 0.08664563
GRAND TOTAL: 3,136,490 ############ 1.75 3,136,240 ############ 0.33 3,156,240 ############ 0.63 2,956,240 ############ 1.10 2,956,240 ############ 1.78 2,956,240 ############ 2.33 2,956,240 ############ 2.65 2,959,240 ############ 3.31 2,985,840 ############ 3.86 3,105,495 ############ 7.67 5,159,400 ############ 8.10 5,180,145 ############ 8.36 9,185,635 ############ 7.51 11,295,405 100,011,294,406 6.93 11,641,985 100,011,659,186 3.68 11,935,791 100,011,935,862 1.00 6,635,010 100,006,635,011 2.69 21,939,541 100,021,939,542 1.23 11,935,341 100,011,935,412 0.61
Affects Cx Affects NK, Body Cells Affects AG Affects AG Antigen increases (Intracellular proliferation)// Ab Specific starts / Affects Macrophages.sp 0.00000
Emad Farag HABIB
0920 Values are NEGATIVE
0920 VIMP todo ASAP:

39
Cybernetics & Entropy : Learned Lessons :
#1: the “Adaptive Launching” Process :
( “Cells Cascade” of : N  DC  T  Macrophages )
is the most Entropy Increase Process, the only process DOUBLING the entropy, due to
Potential-Change in Cell-States, affecting the Number of Possible States of the System
#2: Non-Specific Phagocytosis:
is more Entropy when compared to Specific Phagocytosis : due to the High Efficacy
of the Latter, that successfully Eliminates the AG, hence reducing System Entropy .
#3: After ( Full Recovery) :
The system is “too sensitive” to any (changes, variations) in its Components that are
Of a “Sparse Classes” (= Oligo-number of SubCategories ): ex [ TCells and BCells ]
#4: Shocking : After ( Full Recovery) :
** A (Waning) Immune System is more Entropy than A ( Preoccupied) One !!

40
Intersting-Feature 
System “SENSITIVITY” to “Sparse” Classes Perturbations
First: we must review some Definitions:
[ Gross Total/ #Categories/ Category size/ and #SubCategories ]
+ Gross Total: Total Entities in the System ( Immune S. = ~9000 WBC/uL serum)
+ #Categories: count of Cell-Types ( Immune System ~10 Categories )
+ Category Size: ranges from Important, (small categories: DC Cells )~ to less-important (large categories: Ab’s, Cx)
+ #SubCategories: ranges from hardly (2 Subcategories) to (~7 Subcategories): Ab’s
Ex: Ab’s [ Non-Specific, Specific, Neutralizing immunity, Opsonizing, Blocking Cell Receptors, Free, Variants (Ongoing, anew) ]
( noting that what matters is: the “Actual, true, real” #SubCategories )
Ie: Distinguish: [ theoretical-vs-actual = Proposed vs True = Immaginary vs Real = Aptitude vs Potential = Possibilities vs Probabilties ]
Then: based on these definitions: the Rule is Simply:
Excessive Entropy ( = more “Diversification” ) occurs in 2 cases :
More “SubCategories” and/or Less “CategorySize” :
Excessive Entropy  [ More “SubCategories” and/or Less “CategorySize” ]
ie: Channel#1: Not ( “one” subcategory) , but (Several, Poly, Many, Oligo Subcategories
And/or Channel#2: requires: Not (large Category Size), but (a small one) ,
in short: Severe Entropy = "Several" SubCategories + "Sparse“ Category
= [ more "Several" SubCategories (vs “one” subcategory)
+ less "Sparse" Population (vs huge population)]
"Severe" = "Several" + "Sparse"
Eng. Emad Farag

41
The Waning Antibodies Issue:
- How to resolve the issue of Waning Antibody Titers
Emad Farag HABIB
My effort & success

42
How to resolve the “Waning Antibodies” Issue ? (DRAFT)
How to resolve the “Waning Antibodies” Problem ?
Summary:
To resolve : Problem Aspects as follows: [ COVID19 + Variants + Vulnearable Patients + (“Pure Ab”)
Vaccines + Waning Ab Titers ] : We have only ONE Aspect to manipulate or (utilize) : “Immune Memory”
Focusing more on “Immune Memory” cells, before administering Vaccines.
Details :
the multi-factorial Problem of :
[ COVID19 + Variants + Vulnearable Patients + (“Pure Ab”) Vaccines + Waning Ab Titers ],
will continue to be a problem of :
1- COVID19: will continue to exist, will continue being of exceptional capabilities : [ ACE2, RBD,
and Immune Cell Infection] (cf next slide for risk factors).
2- Variants: will continue to exist and emerge.
3- Vulnearable Patients: will continue to suffer (originating from many classes, existing and new ).
4- (“Pure Ab”) Vaccines (& Treatment, UK, Aug 20th 2021) : Have already excelled Premium Efficacy.
5- Waning Ab Titers: Is simply the ONLY Controllable Factor,
Focusing more on “Immune Memory” Cells can achieve “Full utilization” of Antibodies, Instead of wasting
some on “Neutralization” of the adminstered AG, (cf the 7-levels Priorities). “Immune Memory” Cells: need
to be somehow (attracted to site) and/or be (stimulated), some Authors propose an interresting cascade of
IL-2 : that the reduced levels of IL-2 marks acute infection, causing (TCell.Regulatory) to unleash more of the
(TCell.helper.CD4) eventually deepening the “Immune Memory (Cited from: doi:10.1371/journal.pone.0166163,
Anelone AJN, Spurgeon SK (2016) "Modelling and Simulation of the Dynamics of the Antigen-Specific T Cell Response Using
Variable Structure Control Theory"). I wonder if (Genetic Therapy DNA) can modify some LLPC’s to COVID19-LLPC’s ??
My effort & success

43
What goes wrong in COVID19 Infection ?
Leading to Hyper-inflammation (DRAFT)
[[[ ~~ Host Factors
Gender & Ethinicity: fatalities Males>Females/ Asian males/ German cases/ Afro-Caribbean and South-Eas
CASES: Age / Chronic Diseases / Immunocompromized / ~Genetics (such as HLA genes) ? / Host proteases
Virology: STRUCTURAL DETERMINANTS IN COVID19 PATHOGENICITY
ACE2: Receptor recognition ( cell tropism )
RBD : hidden!: hence: [long incubation period / inefficient immune response / prolonged recovery
time / low levels of neutralizing antibodies {NAb} / prolonged illness / and high-viral titers ! ]
INFECT: ability to infect immune cells (macrophages) : key role in .. disease pathogenesis (SARS)
VARIANTS: mutations / linked to viability? {not variability}
~~ Host-AG interaction
LOAD: Infection Viral Load (Titer)
may also link to ~GeoEconomic Factors: ~”Exposure !”: as it links to both [Standard of Living, and Economic
PROTEASE: Host Protease activation
IFN: Role of type I Interferon : if low IFN: influx of N., Mono, hence hyper-inflammation .
MEMORY: “Immune Memory”: Ig & TCell : [ Ab titers / IgM : 12 weeks / IgG : 2 years / TCell: 6 years (upto 17
TCELL: Role of Th2 (CD8 "macrophage“ < CD4 "BCell", high NAb, lower cytokines ] ) (frequent, robust, early
Ref: 2021 (doi: 10.3389/fcimb.2021.563085 NSW, Australia) , ~ “Literature Review” Papers
Eng. Emad Farag

44
Cybernetic-Aspects of Host-Antigen (Hence a/m 3 Curves)
My effort & success
Immune System & Cybernetics :
[Inputs,Throughputs,and Outputs] :
[ I/P: ~Input, Environment // T/P: ~Host: Cases, Individual Differences //
O/P: ~~Vital Signs!!, Major Outcome // ( "I/P+T/P" ): ~ "Host/Environment"
Interaction ]
Factor #1 of 10:
(both I/P + T/P !!) : 1
[ Typical "Immune Memory" Response : (Primary/Sec Infection Response) +
(Innate/Adaptive , 2Memories (Ab, Cellular), ~Adaptive Recall-Efficiency)]
Factors #2,3,4,5 of 10:
I/P: 4
[ #1 Viral Load (normal, generic) Infection // #2 Coronavirus Infection // #3
Vaccination // #4 Variants ]
Factors #6,7 of 10:
T/P: 1
[ ~Waning, (Q&Q of Ab), wrt (Viral Load), "Healthy-vs-Vulnerable", VIMP
Factors : Vunerables/ Duration/ Exposure Method/ , "Herd Immunity" already
included ]
Factors #8,9,10 of 10:
O/P: 4 ~Vitals:
[ #1 Inflammation/ #2 AG Elimination/ #3 Disease: Outcome: Protection Levels ,
Recall-Type (Profundity) , Rapid-Delayed Recall, Sevirity of Sec, Illness
(Infection/Symptomatic/Severe) / #4 Variants (readiness for)/ .. ]

45
All these results are COM
My effort & succes
No help of any sort from
Physics & Cybernetics : 7 Major “Parallelisms” (2015, 10.1080/03081079.2014.1000642, Drack&Pouvreau)Sep2021, sorted. E
# Aspect (Pre-Parallelism)
Physics Parallelism Cybernetics Advanced, Prospects ,
1 Investigation:
Approah /Scope
instead of investigation of isolated
processes
there exists
a comple-
mentary :
investigating the organism-as-a-
whole
Summative vs
Constitutive
(Emergent) Charact.
(aka) Reductionism, Analysis Wholism, Gestalt, System!
2 Perspective:
Dynamics&Nature
of the Organism
instead of Static character of
organic Equilibria
more
Emphasis on
Dynamic character of organic
Equilibria
Matter, Motion, Info
[open, open, closed]
(aka) apparently: solid organism insight: a continuous flux
3 Causality: Approach opposite to the cause-effect, stimulus-
response
there exists Circular Causality 1st: Automata
2nd: Autopoisis
3rd: Action !
(aka) Analytical Synthetical, concept of two-variable scheme, Mutual Interaction
4 Time: Resevsibility Not Newtonian time:
Resevsible
but Bergsonian time:
Irreversible
Teleology Types :
( 1 static + 4
dynamic)
(aka) Determinism?, Exactitude? Statistical Conceptions
5 Entropy: Str &
Function of
Organisms
ancient
(organisms'
anti-thesis)
structure and function overcoming
by
"Structure amid Functioning" !
, It structures itself in functioning
Measures (~12 ) //
Generalize Entropy
to 2D: [ 2D signals:
(aka) zero or positive Entropy "S" ONLY ! Entropy: "abnormal direction" of entropy: negative: ability to produce a tem
6 Disciplines:
Academic &
Borderlines
not only conceptions are
applicable in their
respective fields.
Extend to certain Model Conceptions are
applicable in quite different fields
(aka) Established Multi-disciplines, Inter-disciplinary, Trans-disciplinary
7 Science: Induction
/Deduction
(Fundamental
not only Inductive Methods leads
to fundamental theories
and laws
may also bold Theoretical Constructions
leads to fundamental …
Sciences:
Theoretically-based
Classification .
(aka) infer>imply: ie:["P" only for non-fundam. laws , start mainly by "F": Observation/Experiement, H0,H1: to reach "fundamenta
infer"F" or imply"P": ie:[ "P" cab lead to fundamental laws: via starting by "

46
<< CONCLUSION 1 / 5 >>
In addition to Our Immunology Researches being Excellently Pursuing :
"Biochemical Apparatus"  Innate-Adaptive, Humoral-Cellular Branches
We also need to pursue the Immune-system Cybernetic-Features :
Such “Cybernetic Features” may be stated/structured as follows :
1- Immune System is “Cybernetic” : is a “Circular Causal” & “Autopoietic” Construct !
2- Abiding by Information Theory Principles : (viz : Entropy Optimization )
3- Following Organizational Rules : Being an “Org.-Closed & Str.-Opened” Construct !!
4- Mandating Relevant Cybernetic Strategies & Decisions : ( Priorities, Memory, Variants, ..)
5- Manifested in Tactics & System Decisions : [Entites.Modes, Titers, Differences&Summ.]
[ Cybernetics  Principles  Rules  Strategies  Tactics ]

47
Cybernetic Abstraction goes like that :
"Biochemical Apparatus"  Innate-Adaptive, Humoral-Cellular Branches
Immune Tactics ( Threat Elimination Methods & Protection Levels )
 Immune Strategies (“Priorities”, Memory, Variants, …)  Immune (Organizational Rules)
 Immune (Information Theory Principles)  Immune (Cybernetics) .
In Short:
Immune : [ Cybernetics  Principles  Rules  Strategies  Tactics ]
Cybernetics, Variable Structure, Fixed “Order of Processes” (Literally!) : 0907

48
“Cybernetic” & “Information Theory”
Features of the Immune system
The Undiscovered Immuno-Cybernetic Principles & Rules
are simply the Higher Abstraction & Origin of All Pursued LAWS
that govern most mystrious immune response & dynamics.
issues Like: [ Immune-memory, Antigen identification & Variants
Antibodies Diversification, and GC’s Disappearance in Old Age ] ,
can be much elucidated by illuminations from Cybernetics !
Cybernetics gives insights (Von Foerster)
Immune-System Research-Efforts can be Magnificently Fortified & Guided
When aided by the ”Compass of Cybernetic Principles”.
Immune: [ Cybernetics  Principles  Rules  Strategies  Tactics ]
( This whole presentation : aimed at showing the Importance & Prospects
of such Approach in Research, via one example only: “Priorization” )
( Author’s utmost amid dying of hunger, microwave torture, and EG-Christian-Cult Persecution in EG )
Eng. E

49
Immune System Processes :
what they “ARE NOT” ?, and What they “ARE” ?
Immune System Processes “ARE NOT” … :
1- are NOT happening Spontaneously, “per-se”, not for Matter & Energy reasons, but for “Higher” Purposes
2- Purposes are NOT “Random”, nor being “Generally-interrelated” !
Immune System Processes “ARE” … :
1- ARE “Purposed” !, and they follow precise “Organizational Rules”
( and in a “Cybernetics 2nd Order” fashion: “Organizationally-closed, Structurally-open” )
2- Purposes ARE “Hierarchically-connected”, in a Directed & “Priorized” Order.
Priorization MERELY stems from the Autopoietic Core Principle of “Optimized Entropy” !
( possibly linked to Cybernetic notion of: “Equifinality” &“Teleology”, that are
uncontroversially-accepted by scientists as a real phenomenon in Biology,
and this goes without contradicting/concording, nor even intersecting with “Religion” at all )

50
<< CONCLUSION 5 / 5 >> “THRILLING”
- Cybernetics eases the [ understanding, Prediction, and Controll ] of Immune Response
by Concerning the issue of “INFORMATION” rather than “Matter” & “Energy” ! ,
and by focusing more on System’s “I/O’s” ! : [ Inputs, Throughputs, and Outputs ] .
- Immune System “Processes” : Depsite being “Apprently-Parallel" & Myriad :
they are "Effectively-Sequential“ & (oligo) ! , and are grouped into 7 Priorities Only,
Enabling the System to wisely! manipulate the Intrinsic Limited-Number of
Threat-Elimination Methods (~7) .
- These Priorities follow Strictly the Universal Cybernetic Principle of “Optimized
Entropy” (in an Information Theory Context), found analogously in “LeChatellier” &
the “Principle of Least Action" (in a Chemistry Context) .
- Endeavoring More Immuno-Cybernetic Features, will greatly help Delineate
the Immune-System’s Complexity in a more Rigorous Scientific Formality .

51
“Counter-Vagues” !
“Information” term:
In a Context of Information Thoery, Cybernetics, and System Theory
rather than Biochemistry & Bioinformatics
“Variants”: Mutations & Strains ( Virology Context )
“Varieties” : Number of Possible States of a System ( Information Theory Context )
“Ongoing Variants”: Host (within-host) , Ongoing, current (infection pathogen) mutations
“Future Variants” : Environment (outside-host), Future, expected later mutations & strains
“Entropy” :
Entropy in a “Macro”, Systemic, Classical, “cbit”, # of Possible States Context,
Not a “micro”, BioChemical, Quantum, “qubit”, Energy Context .
Minimum Entropy, Maximum Entropy :
Minimum Entropy : Processes like : Specifity, Affinity, and ”Conserved-Regions”
Maxmum Entropy : Processes like : Diversification, Variants, and “Polymorphism”
“Negative Feedback”: Stable System, Sustained, Balanced, Unwavering, within limits, ~Regulation
“Positive Feedback”: Reproduction, Growth, Flourish, Wavering, out of limits, ~Development
ANY attempt (from my side) to “Enahance” Presetation QUALITY, is met with EG-rivals Decisive hindering !!

52
“Counter-Fabs” !
Format is : [ Fabs & Allegations : Defense & Clarifications ]
Mixing “Dogmas” up !: This owes to Universality of Cybernetics, not to this (my) study.
Trivial Subject: This is not Pseudoscience: “Falsifiability Criterion” is met.
Aided: This is a pure Lone, Single, Individual Study or Research (amid severe hindering),
till being collaboratively-developed within a Western Affiliation.( “Western” as mandated by research sort)
Religion: Completely a ProtestantChristian (plus a Patron Persec-Must !, that stemmed from Unprecedneted
Persec. By an EG-Christian-Cult & Its Allies ).
Alcohol&Drug: Comic Fab: never ever at all, It’s all mere EG-fabs./ No “Alcohols” of any sort
(EG-Rivals fab “urine” after Holy Communion as a proof of alcoholic !!!!!!!!) / MOST Creative
& Intuitive Sentences in this PPT (after hours or days of thinking) are accompanied by EG-Rivals
Video-ed “Evidences”! , claiming that they were made under Drug !! ( fabs. Of mircowave
“Etching” then “Drowsy” ) ! . DROWSY torture (an Elida-Machine microwave-Frequency, causing immidiate
Sleep or at least drowsyness, is being used against me by Rival Cult-Church for several hours daily !)
Diseases & Disabilities!: Comic Fabs: Alzheimer’s !, Red-Eye! (Right), After-meals Secretions!,
Has Difficulties in Hearing! or Speaking!, Fabricated Muscle Cramps! …, etc : All are mere fabs: (Via either
Direct or Indirect Use of the “Remote Microwave” Torture. Freely & Unleashily commited in EG ! ).
Public Figures!: (This Issue is so Crucial in EG, it is the inviolable “EG-sanctity” !!). Author’s extreme Caution. Yet: EG fabs still conquer !
~Ethics: Straight Male, Unprecedented LGBT fabs by Church. Repelled from EG-styles & Pretendances .
Suffers Shocking Fabrications & Severe Torture by deviant EG-Rivals : mostly because rivals choose to comprehend
a privacy-intrution term of “Doggystyle” as “Doggy Style” ! Or even-worse comprehend it as “Bestiality” !!. Details are available.
Mouse: Computer Mouse was completely off for more than 2 months !! (while working in scientific charts
And presentations in Cybernetics, Immunology, Economies, and Climate Change : till end of July 2021),
recently Aug28: rivals fab a new fab that (mouse manipulation never existed) !
Eng.

53
“Counter-Fabs” #2
Criticism Required !
The aim of this Presentation is to kindle & stimulate the Reader
to criticize the Presentation Content & Ideas.
Ideas are Presented in an As-Clear-as-Possible Form to ease judging their Correctness,
And to ease Criticism & Comments,
regarding “The Application of the ‘SCIENCE OF SCIENCES’ On “IMMUNOLGY” …
Many Included Cybernetic Ideas & Notions Calls for such Criticism ! :
For example : [ is it correct that the Immune Processes are “Effectively Sequential” ?!
Do Activated Macrophages arrive to site much earlier than TCells ?!
Can we expect more Cybernetic Features to emerge from such approach ?!
Suffering in EG :
… This is the UTMOST of what can done in “EG” ,
in the Very “Hostile {{{Chr-Cult}}} EG” Environment ,
My Chr-Cult Rivals are Very Able to STOP all this Activity in EG .
Since August 2021 : EG Rivals have been fabricating homo for me :
EG Rivals : Deliberate Inflammation/Infection in a Critical Area
NO PROBLEM at all in that Critical area for years
untill it started few weeks ago, and it’s getting worse !

54
Ref#1: Haefner, James W. , 1996, “Modeling Biological Systems: Principles and Applications”
Chapman & Hall Pub.
Ref#2: Ganong, William F., 1995, “Review of Medical Physiology”,
17th edition, LANGE books
Ref#3: Despopoulos, Agamemmon, 2003, “Color Atlas of Physiology”,
5th Edition, Thieme Flexibooks
Ref#4:, Bertalanffy, Ludvig von, 1968, “General System Theory: Foundations, Development,
and Applications”, Revised Edition, George Braziller, New York
Ref#5: Yomna T. Al-Kholy, 2000, “Philosophy of Science: in the 20th Century:
Origins, Harvest, and Horizons”, (Author is a Notable “Karl Popper” Scholar, Arabic)
( Paper’s Citations are included in their respective locations )
References :

55
Ver 1.00 20210924 ( fro-Criticism) , (Pause, no more updates)
EG FAB (DRUG) !!
3:21 AM 2021-08-17 Severe DROWSY torture for more than 2 hours !!,
Then Concentrated HASHISH smoke (for the third night)!!
(drowsy torture also: forces victim to “raises” his inner-voice “SubVocal” ) !
Note:
I have NEVER EVER tooks any Drugs
Never any [ Hashish, Bango, Cocaine, Heroine, …. ! ]
Or any Drugs of what so ever sort
Or even ANY drugs that affects the CNS ! .
This is ALL mere EG Fabrications
.0 already skipped “Brief PPT” , and divided the “Full” into 2 PPT : Immunity (PPT1) & Non-.. (PPT2
~1.1 resorted the whole PPT slides-order

Presentation cybernetics immunology-ver1.02 (for-criticism)

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