The Knowledge Argument is a philosophical thought experiment that challenges physicalism, the view that everything about the mind can be explained by physical processes and properties. It was most famously presented by philosopher Frank Jackson in his paper "What Mary Knew" (1982). In the thought experiment, Jackson describes a character named Mary, who is a brilliant neuroscientist who has lived her entire life in a black-and-white room and has never seen colors.

The Frenkel line is a concept in physical chemistry and materials science that describes a specific line in the phase diagram of a system, particularly in relation to the behavior of ionic compounds and their melting points. It represents the boundary between the solid and liquid phases, or more generally, between different phases of a substance under varying temperature and pressure conditions.

In order to solve conflicts, you just have to understand what commit you are trying to move where.

E.g. if from:we do:what happens step by step is first 6 is moved on top of 5:and then 7 is moved on top of the new 6:

All good? so OK, let's move the my-feature to the new 7:

7on5 my-feature HEAD
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6on5
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5 master
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4
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3
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2
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1

The Kelvin equation describes the relationship between the vapor pressure of a liquid droplet (or a bubble) and its radius, accounting for the effects of surface tension. It is particularly important in the study of thermodynamics and physical chemistry, especially when dealing with phase transitions and small systems such as droplets and nanoparticles.

The Thomas Alva Edison silver dollar refers to a commemorative coin issued by the United States Mint to honor the famous inventor Thomas Edison. This coin was part of a series that celebrates significant contributions to American culture and society. The Edison silver dollar was authorized by legislation in the 1920s and was issued in 1922. It features a portrait of Edison on the obverse (front) side and an image of the electric light bulb on the reverse (back) side.

The "limits of computation" refers to the boundaries or constraints of what can be achieved through computational processes. These limits can be understood in various contexts, including theoretical, practical, and physical perspectives. Here are some key aspects of the limits of computation: 1. **Theoretical Limits**: - **Computability**: Certain problems are provably unsolvable by any algorithm.

Undecidable problems are problems for which no algorithm can be constructed that will always lead to a correct yes-or-no answer. This means that there is no general procedure or method that can solve these problems for all possible inputs. Here is a list of some well-known undecidable problems: 1. **Halting Problem**: Given a description of a program and an input, determine whether the program will eventually halt (finish running) or continue to run forever.

A nomogram is a graphical calculating device, a two-dimensional diagram designed to allow the approximate graphical computation of a mathematical function. It consists of a series of scales that represent different variables. By aligning a ruler or a straight edge across the scales, users can visually calculate the values of various parameters, often in fields such as medicine, engineering, and statistics.

A *nondeterministic algorithm* is a theoretical model of computation that allows multiple possibilities for each decision point in its execution. In other words, rather than following a single, predetermined path to reach a solution, a nondeterministic algorithm can explore many different paths simultaneously or choose among various possibilities at each step.

Parallel computation refers to the type of computation in which multiple calculations or processes are carried out simultaneously. A thesis on parallel computation might explore various aspects of this subject, such as algorithms, architectures, programming models, performance analysis, and applications. Key points that might be covered in a parallel computation thesis include: 1. **Definitions and Concepts**: An overview of parallel and distributed computing, including terminology such as parallelism, concurrency, synchronization, and scalability.

Reachability analysis is a technique used in various fields, including computer science, systems engineering, and formal methods, to determine which states or conditions in a system can be reached from a given set of starting states. It is particularly important in the analysis of dynamic systems, state machines, business processes, and software verification. ### Key Concepts: 1. **States**: In the context of systems, a state represents a particular condition or configuration of the system at a given time.

The Reachability problem is a fundamental question in the field of computer science, particularly in the study of graph theory and formal languages. It addresses the problem of determining whether there exists a path from one node (or state) to another node in a graph or a state in an automaton.

"Real computation" typically refers to the study of computation involving real numbers and real-valued functions. It can encompass a variety of areas, including mathematical analysis, numerical analysis, and theoretical computer science. Here are a few key points about real computation: 1. **Computational Models**: Real computation often investigates models that can manipulate real numbers as opposed to just discrete values, such as integers or binary digits. This may involve using real number representations like floating-point arithmetic or even more abstract representations.

Rounding is a mathematical technique used to simplify a number by reducing the number of digits while maintaining a value that is approximately equivalent to the original number. This process is commonly applied to make calculations easier or to present numbers in a more digestible form. The rules of rounding generally involve looking at the digit immediately to the right of the place value you want to round to: 1. **If that digit is less than 5**, you round down (leave the target place value as is).

"Shadow square" could refer to a few different concepts depending on the context in which it is used. Here are a couple of possibilities: 1. **Gaming**: In some video games or tabletop games, "shadow square" might refer to a specific area of the game map or a square on a grid where particular mechanics or effects occur related to shadows or stealth.

The UNIFAC Consortium is a collaborative organization focused on the development and maintenance of the UNIFAC (Universal Functional Activity) model, which is a method used for predicting thermodynamic properties of mixtures, particularly in the fields of chemical engineering and process design. The UNIFAC model is based on group contribution methods, which means it estimates interactions between molecular groups in a mixture to provide information about phase equilibria and other thermodynamic properties.

A "gas slug" generally refers to a discrete volume of gas that is contained within a pipeline or reservoir, often in the context of gas production, storage, or transportation. It can also relate to the movement of gas in a system where slugs of gas sometimes form as they travel through liquid or other phases in a multiphase flow system.

Simply Typed Lambda Calculus (STLC) is a formal system in mathematical logic and computer science that serves as a foundation for understanding typing and functional programming languages. It extends the basic lambda calculus by introducing a simple type system to ensure that functions can only be applied to arguments of compatible types. ### Key Features of STLC: 1. **Syntax**: - **Variables**: Represented by symbols like \( x, y, z \).

Local Differential Privacy (LDP) is a privacy-preserving framework that allows for the collection and analysis of user data while ensuring that individual data points remain private. It is a variant of differential privacy, which is a technique designed to provide mathematical guarantees that the output of a data analysis will not reveal too much information about any individual in the dataset. In traditional differential privacy, a central authority collects and aggregates data from individuals and then adds noise to the aggregated data to obscure individual contributions.

A Non-Interactive Zero-Knowledge Proof (NIZK) is a cryptographic method by which one party (the prover) can convince another party (the verifier) that a given statement is true, without revealing any additional information about the statement itself, and without the need for interaction between the two parties after the initial setup phase.