This case study focuses on Homeostasis Control Mechanisms and compares
two automated processes within Biological Systems. The observational and
experimental studies target Open-loop tracking complex via external and
internal environments. Algorithmic patterns beyond Global Variables modify
parameters of the external environment. Consequently, unpredictable
hidden Open-loop Cycles can generate disparity gradients in Social Contexts.
Internal environment parameters can be handled through encapsulated Sensors
and Input Control mechanisms in Subconsciousness. The value discrepancies
improve through auto-adjusting algorithms within Homeostasis Control
Mechanisms.
Homeostasis Control Mechanism for Primary Instincts can hardly trace and
detect complex parameters in social algorithms. Therefore, the Closed-loop
Conditions and the number of Open-loop cycles in the External Environment
depend on complex algorithms behind Global Variables within the System
Platform.
Homeostasis Control Mechanism for Blood Glucose can detect and trace
possible disturbances and abnormal conditions in the Blood System because of
the tight regulation of blood Glucose. System sensors can respond promptly to
any divergence from global code and regulate the equilibrium state for a Blood
Glucose level. Modulating environmental dynamics and an encapsulated single
control code can add progressive blood sugar control. Open-loop in confining
Homeostasis Control Mechanism implies a structural abnormality in Glucose
value. Open-loop mode and value discrepancies are transparent for the Homeostasis
Control Mechanism.
The Homeostatic Regulation of Blood Glucose has constraints underlying
analogical mapping in Primary Instincts. Both Control Mechanisms respond to
value discrepancies, which might disturb the standard conditions for obtaining
an equilibrium model. However, the Homeostasis Regulation of Blood Glucose has
an encapsulated single-level input control. For example, the System Sensor regulates
and transports blood to the Closed-loop Controller when the blood sugar level is
outside the normal range (above 100 mg/dl). Blood Glucose adjusts to the normal
range via Insulin and returns to the primary loop circulatory system. A system sensor can monitor
the typical level of Glucose synthesis and transport to the liver. The flow of glucose through those two processes is
regulated and executed in the system mechanism within a short period.
Biological Systems hardly detect Open-loop mods in the regulatory process
control because of consistency and accuracy in modulation measurement. (See
diagram 1.0)
The Homeostatic Regulation of the Primary Instinct initials the state of
activation while the specific Primary Instinct becomes active through Input Genetic
Algorithm or External Input. The Brain Center scrutinizes Input parameters and then
transmits a signal to the Secondary Instinct. Input parameters measure
the Secondary Instinct and select appropriate Primary Instincts for activation.
Primary Instincts characterized by cell types convey back to Secondary
Instinct. Definite attribution algorithm for choosing the Primary Instinct examined within Secondary Instincts. Secondary Instincts can activate primary
Instincts when they barely meet real-world requirements. Attribution algorithms
transfer to Closed-loop Controller and algorithm parameters compared with
encapsulated criteria. Approved algorithms move forward to Brain Center.
Non-approved algorithms move back and forth between Secondary Instincts and
Closed-loop controllers for activating specific Associated Primary Instincts.
Eventually, non-approved algorithms with unstable attributes may generate a
hidden Open-loop Cycle between Secondary Instinct and Closed-loop controllers.
The Brain Center sends an order to structural units for further
enhancing and functioning in external environments. A feedback mechanism
returns values to the Homeostatic Regulation of Primary Instincts. Returning
value can be either straightforward Input or Open-loop Cycle. The feedback
mechanism may generate Open-loop conditions when returning values do not obtain
an equilibrium model in the regulatory process control. (See diagram 2.1)
The Homeostatic Control System obtains an equilibrium mode when feedback
shifts from the External Environment integrates with Physical functions
(compatibility mode). The selection of stimulus parameters in the External
Environment transfers to the Brain Center. The Brain Center evaluates
external parameters, and then cell types transmit functional signals to an
array of Primary Instincts through a Closed-loop Controller. Primary Instincts and
possible activated Associated Instincts may require compatibility with Library
Section Criteria. Instance functions and
attributes of Primary Instincts compared with parameters within Library Section Criteria. Approved
operations and codes can challenge the Closed-loop Controller to transmit a signal
to instances of the Secondary Instinct. Non-approved external functions and attributes
generate hidden Open-loop conditions within the Closed-loop Controller. Diagram 2.2
shows a paradox of incompatibility in the Closed-loop Controller.
Analysis and Comparison of Homeostatic
Control Systems
Homeostatic Control System for Blood Glucose Levels has a short
circulatory process control. Besides, consistency and accuracy in modulation
measurement automatically detect characteristics under Open-loop conditions.
Encapsulated sensors detect deviations promptly, and the Control System
provides compatibility patches for system requirements. Homeostatic Control
System for Blood Glucose programs to achieve Harmonic Enrichment in system
framework. Hidden Open-loop Cycles can be detected through diagnostic blood tests.
The Homeostatic Control System for Primary Instincts has a two-layered
integration framework for internal and external processes.
Internal circulatory processes integrate with a wide range of external
effects of parameters. External parameters are instance parameters of Global
Variables and the Competitive World.
External parameters need to be always compatible
with internal
processes. External parameters articulate a proactive mechanism of the
Competitive World, which has a collision path with internal characteristic
patterns of Primary Instincts. Contradictions within two-layered integration
modify the Homeostatic Control System for Primary Instincts. It can underlie early
genetic vulnerability and generate multiple hidden Open-loop Cycles in the Biological Systems.
Instance, parameters of Primary Instincts (internal parameters), are
automatic feedback mechanism that adjusts Open-loops for Biological
Systems.
However, Instance parameters of the Competitive World (external
Parameters) are automatic feedback mechanisms that provide a competitive
advantage for Non-Biological Systems.
Observation:
The Interdisciplinary Research and
Perspective developed on Systems Theory.
Observation:
The Homeostatic Control System for Primary
Instincts has a complicated structure and consists of two integrated sections.
The Internal section handles parameter changes in the External Environment
through structural criteria control, and the second structure calls for instances of
the Secondary Instinct. The incompatibility property of integration causes hidden
Open-loop Cycles in the Homeostasis Control System; therefore, compatibility between two
categories is essential.
Observation:
Parameters of the external section of the
Homeostatic Control System must articulate and align according to the property
of ethical Primary Instincts. Governance Rules and Principles need to encourage
consistency in morals and prevent inconsistency. Social norms are instance
parameters of the Competitive World; consequently, an internal section of the
Homeostatic Control System encounters open loops.
Observation:
Open-loop Homeostatic Control System for
Primary Instincts generates hidden emotional disturbances with behavioral
disorders in Non-biological Systems.
Observation:
Unethical parameters in a Competitive World
inspire Systems Owners to think new and strategically about opponents.
Parameters in new strategic thinking hint at unscientific and Unethical
Decision Making in system frameworks. Therefore, Global Variables can infect a
virus of Unethical parameters in a Competitive World.
Predictable Pattern Infection with
unethical parameters can be detected in social contexts. Unethical social parameters
inspire the activation of unethical Primary Instincts within the network of the
Competitive Instinct.
Observation:
Unethical Primary Instincts cause
antisocial personality disorder behavior and complexity for Non-Biological
Systems. Using ethical parameters, system Owners can save
social costs and side-effects of community violence.
According to an observational study,
patterns of equality in social structure would set aside unethical connections
with the Competitive World and ultimately create a competitive advantage for
Systems Owners.
For example, some essential moral
parameters of ethics in Global Variables are as follows:
Develop solidarity, respect integrity,
promote loyalty, automated freedom of expression, improve social transparency,
develop human rights, cultivate empathy, focus on family health care, practice
openness, honor trust, and possible elimination of Bureaucratic Hypocrisy.
These parameters are on a collision path with the Competitive World. Therefore,
Systems Owners are reluctant to articulate these parameters in Global
Variables.
Systematic prognosis of encapsulated
algorithms from Competitive World in social platforms:
Society's syndrome is a circumstance that appears in a Social Context
where parameters in a Competitive World inspire Systems owners to become more
competitive. The system Owner modifies entire system resources through Global
Variables according to the parameters of the Competitive World. Global
Variables motivate society to become fully qualified for the competition.
Associated External Instincts in Social Context (unethical parameters)
integrate with associated Internal Instincts. Closed-loop Controller in
Subconsciousness scrutinizes parameters of Internal Instincts (unethical
parameters) and saves a new set of feature parameters of the Competitive World
in Library Section Criteria within (Consciousness). Hidden Open-loop generates
across Internal Instincts, and eventually, integration with External Instincts
executes hidden Open-loop Conditions in society. Hidden Open-loop perpetuates
in society and causes hidden social costs. Side-effects of Open evolution loops
create a vicious cycle and return invisible financial burdens in the
Competitive World. (See diagram 3)
Observation:
The competitive World is a visual framework that focuses, among others,
on Economy Performances, Competencies, and Labor Rationalization. Systems
Owners must follow guidelines for strategic criteria in portfolio
rationalization and implement an intelligent cost-reduction framework.
Otherwise, System Platforms may confront a thoughtful crisis. Multi-parameter
Mechanisms of the Competitive World are hardly friendly with Social Contexts
and Biological Systems. Instance parameters of the Competitive World inspire
Unethical Primary Instincts that can activate and hamper active Ethical Primary
Instincts.
Observation:
Humanity is critical to the future of healthy system performances and
competitions. Parameters of a Competitive World need to align overwhelmingly
with the parameters of Humanity.
Observation:
The boundaries of the Competitive Instinct and its Associated Instincts must
be confined to health and safety regulations in the Competitive World. The Cynical
Instinct plays a significant role in the growth of Associated Instincts. A
creative spiritual principle and philosophical concepts would inspire Systems
Owners to minimize the number of active Instincts within the Network of
Competitive Instincts.
Observation:
Systems Owners can sub-optimize Systems Platforms for handling
parameters in a vicious cycle. They may believe they design and implement
Optimal State Feedback Control in Systems Platforms because their products and
services can partially build customer satisfaction.
