Personal Statement In System Biology

In a complex adaptive system such as healthcare, the concept theory is grounded in research of complexity science, as it applies

In society, there are groups that interact with each other. They may be families, churches, government agencies, or anything in between. Those groups can be defined as systems, and in the systems perspective that is what they are referred to (Hutchison, 2017). In the 1960s, Ludwig von Bertalanffy developed the general systems theory in relation to biology, but it was widely publicized and used for various subjects (Hutchison, 2017). Hutchison (2017) summarized Bertalanffy’s theory by saying, “any element is best understood by considering its interactions with its constituent parts as well as its interactions with larger systems of which it is a part.” (p.

studying the individual subsystems e.g., Internet .Also in a complicated system we can predict the

A system is “A set of interrelated and interdependent parts arranged in a manner that produces a unified whole” (robbins 2006), and Systems theory is the

the system will, on a large scale, form a network of independent components which ultimately

My mentor, professor Rob Phillips has always advocated for applying these principles to solve biological problems. I helped teach his class biology lab course Bi1x, as a TA and the curriculum emphasizes the principles derived from physics and mechanics in approaching biological questions. The modules reflect how we can through the use of quantitative analysis and our basic understanding of theories form hypotheses and models. For example, in our drosophila module, we quantify the bicoid gradient in the embryo and compare how its expression affects the placement of the cephalic furrow. Throughout the process, we compare the textbook French flag model and learn how to quantitatively measure the levels of bicoid and furrow in the embryo. In the module I developed, we engineered strains of C. elegans that would allow us to look at the network circuitry of neurons using optogenetics.

The Bronfenbrenner’s Ecological Systems is a model created by psychologist Urie Bronfenbrenner that refers to five structures of which an individual interacts with that impacts their development. The structures are referred to as systems in the model and there are five systems: Microsystem, Mesosystem, Exosystem, Macrosystem, Chronosystem.

The figure in chapter six is a perfect representation of the cycle that forms all the –isms and that cycle is also what lets it continue to spin. As you see, as a system we create the

The acquisition of new knowledge cannot come without imagination. The world around us is vivid, and to be able to understand what is out there, a scientist must imagine what they want to observe. To answer the mystery of these concepts, the sciences were placed into hierarchies, that sparked new ways of thinking to answer the events of evolution: the appearance of life and the development of thought and language. The events can begin to be discussed by the hierarchical complexity of the events. The more simpler events pave the way into thinking for the complex events. When considering the integration in systems, the constraints and limitations occur with the complex the system becomes. As more properties arise in a system, equal amounts of restraints come with it. A consequence

The General Systems Theory (GST) came about as an effort to describe the systems approach, born from the biological concept of the organism developed in the first part of the 20th century (Von Bertalanffy, 1972). In contrast to the mechanistic systems which are closed and have a direct relationship between a cause and its effect, a biological or social system is open, operating on a principle of equifinality, where regardless of the starting point, the objective can be achieved (Kast & Rosenzweig, 1972). Any system will achieve equilibrium, but an open system can reach a steady state by accessing resources from outside itself (Kast & Rosenzweig, 1972). The underlying assumptions of GST rely on the organization of a company resembling the inner workings of an organism. However, subgroups within organizations can act independently of the the whole, in

Cybernetics theory The variety of a system is the total range of its outputs, its total range of behavior. All organic systems in nature are probalistic: they exhibit variety, and an organs flexibility (its adaptability is a function of the amount of variety that it can generate. Evolutionary adaptation is a result of the interaction of this probalistic process with the demands of the environment. This notion influenced a lot Brian

Complex Systems is a new science study about what is relationship between the individual parts and how the parts emerge the collective behaviors and interact with the environment and the system (Bar-Yam, Y., 2015). If the behaviors that the system behave hard to predict, we can describe the system as a complex system. While facing the complexity, people usually senses the difficulty to have the solutions to handle the problems, it also implies that the problems in the complex system often with the high degree of difficulty. The complexity situations are full of environment around us, such as the natural environment, the economics, the social issues, politic issues and so on. The above issues are all consisting by lots different small components, the relationships and the interactions will make a significant effect to the overall system perform.

In this book, Stephen Wolfram develops A New Kind of Science that allows progress to be made in cases where traditional science cannot analyze complex behaviors. In his proposal for this new kind of science one of the things he addresses is the notion of computation, where computation is the evolution of a system. In this book, Wolfram has mentioned and referred to systems such as cellular automata as a "simple computer program", but his overall goal is to show these systems in terms of the computations that can perform complex shapes with a simple set of rules. In other words, these systems can be viewed as performing a computation that determines what its future behavior will be. The interesting thing is that cellular automata has terms of traditional mathematical notions to describe certain computations. Stephen reintroduces these mathematical notions by replacing them with squares (cells) that are either black or white, and when grouped, these cells create a block. Once multiple blocks are created, they are described as rules that enhances a command. For example, the rule 94 highlights even numbers. Rule 62 corresponds to multiples of 3, rule 190 to multiples of 4 and rule 129 highlights powers of 2.

2. (a) Define cybernetic; (b) define homeostasis, (c) define homeorhesis; (d) discuss the relationships between cybernetic systems and homeostasis/homeorhesis; (e) describe the significance of the cybernetic nature of ecological systems; (f) discuss the relationships between disturbance level and the establishment of reinforcing vs balancing feedback loops.

With the second wave of systems theory came about the idea of the ecological perspective, named ecological systems theory. It is the combining of general systems theory with an ecological approach. Ecological systems theory uses ideas that link together four different social systems that surround an individual; these systems are known as, micro-systems, meso-systems, exo-systems and macro-systems (Healy, 2005). The ecological model is used as a tool. These systems are very structured and use certain processes as guideline. Different processing concepts are used in systems theory. These concepts explain how the system works. Input is the energy being fed into the system across boundaries. Throughput is how the energy is used within the system and output is the