動的セットポイントを指向する相転移現象のための
シンセシス構築に関する基礎的研究
(A Synthesis for Phase Transitions search Dynamic Set Points)
Keys:パラダイム相転移(Phase Transitions of Historical Scientific Common Paradigm),
分岐現象(Bifurcation Phenomena of Applied Nonlinear Dynamics),
認識アトラクタ遷移(Attractor Transitions on Life Cognitive Systems),
動的安定性(Dynamic Stability consist of specific Anomaly as a Fluctuation)
破綻メカニズム(A Mechanism of Biological Periodic Stable State and its Disruptions),
1.外部応答含む個体階層での「突出した才能」総体の認識機構への不安定性還元による相転移メカニズム解明
This paper considers an expression mechanism of ‘un-assessmentability’ a kind of phase transitions.
‘Un-assessmentability’ is some outputs and its producers which impossible to assessment. ‘Unusual talents’ is a
‘un-assessmentability’ case that current paradigm cannot assess them. ‘Unusual talents’ like a genius who
leading Paradigm shift. An assessed person (=“unusual talents”) immeasurable great ability beyond assessmentor
(=judgment person as a journal community)’s assessment ability and understanding ability measures.
This research considers those ‘un-assessmentability’ states point of “external factors action mechanism”23 view.
Methodology of this study is supported by design thinking “bottom-up and enumerating argument” 1.
My aim of this study is to design synthesis to clear “how does factors influence a change in equilibrium state?”2.
This synthesis to construct framework to clear a mechanism of dynamic transition emergent from factors interaction.
To understand insight process as a potential level before output is necessary to assess ‘unusual talents’.
Difficult to understand their (=‘unusual talents’’s) output (=paper, research plan, and its outcome-impacts:
results) so reason why focus on breakthrough stage (=before output process). To include understanding insight
mechanism for assessment process about basic research (including transformative research), innovation (including
its potential seeds), and research plans (like a pre Technology Assessment stage). To clear “a functional expression
mechanism on each scales”3 to focus on crosstalk on whole body organs (linking multi scale individuals) are
necessary in order to escape from impasses as a static stability “long stable state”4 ( based on ‘perception of
surroundings’38) received from external stimulus.
Research object is such cognition-ome (=cognitions systems in living whole body) which formed “Umwelt” 5 from
external factors to bio-responses as a “Dynamic models interactive between self and surroundings”. Such “those
concepts that meta theory of Richardson, Allostasis and Allostatic load is effective to understanding
Resilience”6and Robustness construction from “Systems-ome (hole systems) can robust environmental changing by
cooperation during a redundant feedback loop different caractristics”7 are typified by “Feedforward control” 8.
Current paradigm issue is reorganization of analysis types knowledge about an instability action has incomplete.
“Some multi demented stages”9 synthesis models covers interaction of multi scale. As discussed above, when
considering the findings of previous studies about “common mechanism relationships between growth process and
insight process”10, already I pointed out “common homeostatic mechanism between 2 of them (growth process and
insight process) and pathogenesis mechanism”11.
This paper focuses on external stimulus anomaly action removes impasses on insight processes as a static state
pre stage of breakthrough. On the basis of instability action not restore as an element of phase transition
assessment system on the assumption dynamic set points. This research finds areas possible to explain these 3
processes same as allostatic load systematically functions thought dynamic stability used by biological fluctuation.
Phase transition assessment has some possibility to “protects values of some specific anomaly”12 leading next
paradigms shift. Such phase transition assessment systems needs to “share overview of all research processes
beforehand all actors” 13 including phase transition phenomena as an escape from impasses. These research
processes has not on the basis of when anomaly appear and its restore. Therefore, to understand allostatic
cognitions-ome likes an in vivo beforehand.
This research construct synthesis models tentative explanation “how life which is complex aggregate by biological
fluctuations constructions dynamic order-ome”24 allostatic instability which is phase transition expression result.
Some Cognition-ome with Instability is Phase Transition Case solves ‘Un-assessmentability’.
2.洞察のアロスタシス負荷としての可能性とインパス解除の破綻過程にみる発病機序との共通作用と高次構造
Theory of Allostasis needed to clear 病相遷移(=phase transition of illness state). Also use concept of allostasis to
understand stable state of impasses stage on insight processes. This chapter focus on allostasis function that
feedforward expression and its results. Uniqueness of Insight considered multi scale corporations with biological
response including “bifurcation phenomena of applied nonlinear dynamics”26 some biological fluctuations suggests
“noise is fundamentally significant expression functions”.
Hypothesis of this study is some possibility to remove impasses and its inspiration is a kind of expression of
allostatic load. Based on cases of history of Science and Japanese disaster cases tells “state of tension caused by
allostasis improve adaptation creates arts, technology, cultures, and risk reduce”14.
Previous research pointed out “the relationships between allostasis and cognitions” 15. These functions cleared
view point of “Higher order structure”23 “change biological systems”16 on “internal stability”17 influenced by
“Feedforward from higher order functions”23 which brings life “stability through changing” 23. Dynamic stability
and “Allostatic adapted biological response for life event”18 brings “Individual variation of fragility”19 that decide
“Adapted to surrounding through regulatory mechanism”20. The reason why “Biological system has fragility
become dysfunction”21 brings periodic stable dynamic stability constructed by instability such biological
fluctuations. Next Chapter shows allostatic cognitive phase transition expression mechanism made by instability
actions of anomaly (=kind of ‘unusual talent’ elements) has similarly functions.
3.生体ゆらぎの不安定性群が成すフィードフォワード動的安定による認識遷移アトラクタ変容の定常状態破綻
A stable state disruption of cognitive attractor transition caused by dynamic stability feedforward consist of
biological fluctuation-ome. This chapter focuses on instability. This is a basic study of instability expressions on
allostatic ‘un-assessmentability’ mechanisms. Especially, functions of biological fluctuation-ome are essentials.
Biological response brings “adaptation to keeps fluctuations of variable point”22 organism “global adaptation
change system parameter search adapted condition randomly”22 for life. Both of biological response functional sides
“non-response=robustness ignore noise and fluctuation which are unnecessary disturbances”23 and
“response=follow up for change must response hence view of just look at error and set point”23 are indeed dynamic
stability factors. In addition, “structure never influenced noise whatever change of external state disruptors by
noise on some kind of response systems structure”23 is also must have. Over “a mechanism like a convergence”23
shifts “more higher homeostasis needs instability”24 to “keeps homeostasis mechanism and its functional stability
individual level”24. Systematic “Reflexivity and self-reference”25roles of biological “fluctuation is necessary internal
factors of self-organization and amplify it become an order”25.
動的疾患(=Dynamical disease) suggest mechanical behavior. For instance, “change in itself restore asymptotic
formulas is one of instability dynamics”26 state caused by “asymptotic stability as a stable state of systems are
oscillator state of nonlinear system limit cycle attractor and chaos attractor rather than point attractor”26. Such
characteristic property finds “dynamical disease emergence cause by disruption action/instability action to
instability of unknown mechanism in normal situation,”28 as bifurcation phenomena of applied nonlinear
dynamics”26 “attractor instabilized systems parameter shift, and transition to other attractor try to fit on illness
state”28 thus “on the basis of nonlinear mechanological systems, maintenance of biological functions and internal
systems is dynamic stability”28. To “research element is not enough. For example, each elements normal if whole
systems dynamics shift like a feedback gain which depend on relationship each of elements then become sick”27
thus those pathopoiesis systematic expressions suggests roles of instability (beyond each elements) in phase
transition. For instance, “heart arrhythmia”28 is dynamical disease case, “biological fluctuation of heart rate
rithms”24is relevant to instability. Similar robust systematic case is “some possibility pointed out dynamic stability
connect brain decide set point body motion”29 case of dynamic postural control. Already review Life behavior case
in this chapter same characteristics about “fixed point of systems becomes instability, according to its behavior
emergent stable periodic solution (=limit cycle)”28 “mechanic bifurcation phenomena separate membrane nerve and
oscillator nerve”27 case suggest “limit cycle is almost stability except instability fixed point, therefore periodic
membrane model back to same systematic state before remove limit cycle”28 as a “fluctuation of select”22 including
“improvement to control function construct by interaction”30. Context on homeodynamics biological fluctuation is
not only noise, however also set point of noise-induced stability and noise-induced order. For instance, current
bedside medicine and real “data analysis for biological information”26 finds intermittency of noise functions
“ biological point irregularly transition around average for a long term”26 not only roles of “ keeps ‘set point’
feedback controller like regulator”26 on “levels transitions” 31.Background of current ‘In sillico’ and ‘in vivo’
projects and its 多臓器円環 (= multi internal interaction and its homeodynamic systems) trend, change the
meaning of topological “transition caused by biological control systems itself, Life allows transition of controlled
object state or life create transition state by itself”26 therefore set point by Life is not only “always Life controlled
object state let it close to set point”26. Current study takes another look at biological fluctuation that
“mechanology shows neurological control nonlinear the types of burst switching instabilities among dynamics”32
focus on important meaning of “fluctuation and its roles context on physiological and pathological”33 that why “long
termed dynamics has a few noise then systems has been transition as a mihor attractor processes”34. Refer to “at
stability state, resilience is small, response for external is big because fluctuations is small”35on the other side
“Bottom of potential flat critical state resilience is also small”35 fact. Fluctuations and its biological rhythms “a lot
of cases suggest relationships between expression of biological function and its disruption”26 for instance “limit
cycle attractor transition chaos cycle attractor”26 such phase transition of illness state cases suggest “双安定性
(=double stability) is a key concept to think about mathematical mechanism of phase transition”35 indeed itself.
4.定常周期を指向する認識遷移の動的セットポイント自律探索の不安定性作用の再構築による相転移評価
Attractor transitions which “dynamic systems consist of transformative self-reference”36“how influence
homeostasis after changing set point”37. To reconstruct cognition-ome roles of “cognition activity is expanded
homeostasis”42 beyond multimordal synthesis adapted biological response. Biological stability consists by “adapted
action systems”38 as “perception to adaptively optimized relationship between self and surrounding”38 through
differences individual adapted biological response “internal/external synthesis”39,40. Access elements stage has
potential to expression “Biological dynamics clear multi scale which are genome level, in vivo level, and society
level (for example, crowd, mobility of Life)” such phenomena suggest applicability of phase transition mechanism,
especially insight process and developmental process of dynamic diseases. It is not only analyze 病相遷移, but
also expand expression variety. This paper showed other phase transition case of allostatic impasses disruption
insight process. Such trial breaks away from concentrate elements regardless of the fields cognitive systems of
‘unusual talent’ “deeply understand to expression mechanism about biological function according to various types
of situations including disease event, through reproduction ‘human nature’ characterize by biological
fluctuations”26. Whole insight processes specific anomaly leading next potential seeds of transformative research
and next paradigm shift similar mode of action like a heart rate rhythm as a biological instability element noise bring
dynamic stability state transit limit cycle attractor to chaos cycle attractor. In addition, must consider “rhythm of
human breath on 位相遷移 (topological transition) related to biological information except sense of body
information”41.
Phase transition continue to seek dynamic stable set point while moving itself (not only seeks stable state
convergence) induce disruptive paradigm shift confirm similar mode of action cases of science history.
This chapter speculates that some possibility instability mode of action caused by specific anomaly as fluctuations
scale and moa in inside whole insight processes itself is allostatic load partly.
In concluding, only focus on negative expression (like a next goal of 多臓器円環 trends supported by ‘in
sillico’and ‘in vivo’ data driven innovation fields is to clear pathogenesis mechanisms) is not enough therefore
various types of expression including positive one ( like a robustness of dynamic stability human walk control and
remove impasses stage on insight as an allostattic load consist of biological fluctuations because “Life cognitive
systems in general in species are higher order homeostatic moa”42) necessary to focus on links and crosstalk of
multi scale ( anomaly level to paradigm level and its systematic relations) about noises moa expression on multi
modal reconstruct of instability for dynamic set-points as a periodic stable state of cognition and its phase
transition assessment like CAR43. These PJ and its R&D trends for 病相遷移 suggest that each technology and
methodology of 病相遷移 tends to find mathematical system as a common set-points.
A striking feature of the “such explicit recognitions of breakdown are extremely rare, but the effects of crisis do
not entirely depend upon its conscious recognition”44that “All crises begin with the blurring of a paradigm and the
consequent loosening of the rules for normal research. In this respect research during the pre-paradigm period,
except that in the former the locus of difference is both smaller and more clearly defined”44 looks like phase
transition pattern. The same is not true, however, for historical, which is used to talk about things connected with
the study of history, and historic, which is usually used of things that are very important because of the
consequences they are likely to have.
Worthy of equal notice, his applies more appropriately to this historical scientific crisis case for the paradigm.
Clarify that these paradigm cases applicability “crises close in one of three ways”44Kuhn’s work is given on
“sometimes normal science ultimately proves able to handle the crisis provoking problem despite the despair of
those who have seen it as the end of an existing paradigm. On other occasions the scientist may conclude that no
solution will be forthcoming set aside for a future generation with more developed tools. Or, finally, the case that
will most concern us here, a crisis may end with the emergence of a new candidate for paradigm and with the
ensuing battle over its acceptance”44 must here can be paraphrased as “when acute, this situation is sometimes
recognized by the scientist involved. Copernicus complained that in his day astronomers were so ‘inconsistent in
these [astronomical] investigations”44 same as phase transition systematic stability as 病相遷移.
5.病相遷移,アロスタシス負荷としての認識,自然現象における相転移過程にみる共通点とそのパラダイム遷移
Following the design thinking approaches in this chapter, to clear common processes of life dynamism systems
review about practical medical one compere with other many fields. Focus on this point that “Phase transitions are
ubiquitous in nature”51 that “Phase transitions, similar to those seen in physical systems, are observed in spreading
activation networks. Such networks are used both in theories of cognition and in artificial intelligence applications.
This result confirms a predicted abrupt behavioral change as either the topology of the network or the activation
parameters are varied across phase boundaries”45.
A case of phase transitions are “Approximate calculations show such phase change instabilities are possible for
both the 400-kilometer olivine-spinel phase transition and also for partial melting at shallower depths”46and “The
basis and extent of this unity are reviewed for many-body systems in equilibrium, and analogies with instability
phenomena in systems far from equilibrium”47,“expression of the Neisseria gonorrhoeae opacity protein (Op,
protein II), a major antigenic determinant of the outer membrane, is subject to frequent phase transitions”48 and
“dimorphic fungal pathogens have evolved parallel mechanisms to adjust to the temperature shifts which induce
these mycelial- to yeast-phase transitions”49in addition“biological aspects of the‘switch process’ in a group of
manicdepressive patients” 50,“The most familiar examples are warm water vapor condensing on a cool bathroom
mirror or lake water freezing into a sheet of ice. Gaseous molecules in water vapor rarely interact with one
another”51“main control parameter determining the phase of the system”51 “that define the rules of assembly of its
condensed phases”51“A key difference from phase transitions in nonbiological matter is that these cytoskeletal
phase transitions involve nucleotide hydrolysis, one of numerous nonequilibrium processes that enable biological
control of filament assembly”51 those are some examples about phase transitions many fields.
As mentioned “The set-point theory suggests that body weight is regulated at a predetermined, or preferred, level
by a feedback control mechanism”52“suggest that this switching in the relative dominance of feedback loops
(“feedback dominance switching”) may be a general mechanism in immune cells to integrate opposing feedback on a
key transcriptional regulator and to set a response threshold for the host”53 this set-point theory also related
allostatic systems that “dysregulation of allostasis causes changes in the body and brain that lead to
disease”54“Measuring multisystem dysregulation and changes in it over time”55due to “Allostasis preserves function
under changing conditions by abandoning physiological set points and developing new ones”56“the allostatic model
of adaptive responses, trade-offs, feed-forward cycles, and collateral damage provides a framework for assessing
the involvement of environmental-genetic interactions and co-morbidities in the course of chronic disease and
developing a comprehensive score for personalized risk prediction. The utility of this approach is illustrated for
nonalcoholic fatty liver disease, a prevalent condition with common and less common outcomes” 56“Allostatic load
affects many organ systems highlighting the importance of measuring allostatic load as a multisystem concept.
For this reason measurement is based on deriving a composite score based on indicators from a number of
different systems. However, developing these composite measures is challenging. Allostatic load accumulates
throughout life and therefore the study of processes in longitudinal settings is also needed. Because these
processes are often non-linear and reciprocal, the estimation of change may become complex”55curiously enough
“Allostatic load by its definition is a process that develops over time. It is therefore important to choose methods
suitable for studying it as a dynamic, changing concept. However, surprisingly very few studies have examined
changes in allostatic load or the longitudinal pathways between the different factors associated with allostatic
load”55because of “As allostatic load being a complex multisystem concept ,measuring”55including systematic
“negative feedback”57 robustness point. Also “The process accelerates the various systems' defenses of bodily
viability, but can violate short-term homeostasis. This allostatic regulation highlights our ability to anticipate, adapt
to, and cope with impending future events”60shows us some possibility of life “decision-making is part of a
homeostatic process”58on life cognition systems “and brain and hormonal stress systems, are beginning to be
characterized”59“its relationship to the central nervous system function and specific hormonal systems”60 this
paper already review its systems 1st Chapter.
As will be discussed bellow “the pathway inhibits, or shuts down, the original signal”61significantly enough
“balance and promotes systemic growth”62. Furthermore, these sequences are capable of forming common theory
dynamic instability on phase transition.
Poster describes complex interaction between object as “umwelt”63determined by own function of allostatic
adaptation and subject with phase transition as a paradigm shift. Those phenomena by regardless of the fields show
us some possibility to compere scientific historical cases.
6.「評価不可能性」要素としてのアノマリーとその発現としてのパラダイム遷移との階層間連関
I will show this hypothesis on conference poster only.
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