Non-equilibrium thermodynamicsNon-equilibrium thermodynamics is a branch of thermodynamics that deals with physical systems that are not in thermodynamic equilibrium but can be described in terms of macroscopic quantities (non-equilibrium state variables) that represent an extrapolation of the variables used to specify the system in thermodynamic equilibrium. Non-equilibrium thermodynamics is concerned with transport processes and with the rates of chemical reactions.
Equilibrium constantThe equilibrium constant of a chemical reaction is the value of its reaction quotient at chemical equilibrium, a state approached by a dynamic chemical system after sufficient time has elapsed at which its composition has no measurable tendency towards further change. For a given set of reaction conditions, the equilibrium constant is independent of the initial analytical concentrations of the reactant and product species in the mixture.
Big dataBig data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many entries (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Though used sometimes loosely partly because of a lack of formal definition, the interpretation that seems to best describe big data is the one associated with a large body of information that we could not comprehend when used only in smaller amounts.
Data analysisData analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.
Data scienceData science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured, and unstructured data. Data science also integrates domain knowledge from the underlying application domain (e.g., natural sciences, information technology, and medicine). Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession.
FreedomFreedom is the power or right to act, speak, and change as one wants without hindrance or restraint. Freedom is often associated with liberty and autonomy in the sense of "giving oneself one's own laws". In one definition, something is "free" if it can change and is not constrained in its present state. Physicists and chemists use the word in this sense. Philosophy and religion sometimes associate freedom with free will, as distinct from predestination.
Freedom of the pressFreedom of the press or freedom of the media is the fundamental principle that communication and expression through various media, including printed and electronic media, especially published materials, should be considered a right to be exercised freely. Such freedom implies the absence of interference from an overreaching state; its preservation may be sought through the constitution or other legal protection and security. It is in opposition to paid press, where communities, police organizations, and governments are paid for their copyrights.
Economic freedomEconomic freedom, or economic liberty, is the ability of people of a society to take economic actions. This is a term used in economic and policy debates as well as in the philosophy of economics. One approach to economic freedom comes from the liberal tradition emphasizing free markets, free trade, and private property under free enterprise. Another approach to economic freedom extends the welfare economics study of individual choice, with greater economic freedom coming from a larger set of possible choices.
Academic freedomAcademic freedom is a moral and legal concept expressing the conviction that the freedom of inquiry by faculty members is essential to the mission of the academy as well as the principles of academia, and that scholars should have freedom to teach or communicate ideas or facts (including those that are inconvenient to external political groups or to authorities) without fear of repression, job loss, or imprisonment.
Freedom HouseFreedom House is a non-profit organization group in Washington, D.C. It is best known for political advocacy surrounding issues of democracy, political freedom, and human rights. Freedom House was founded in October 1941, with Wendell Willkie and Eleanor Roosevelt serving as its first honorary chairpersons. Its mission is to expand and defend freedom globally, and its vision is a world where all are free. Most of the organization's funding comes from U.S. and other government grants.
KinematicsKinematics is a subfield of physics, developed in classical mechanics, that describes the motion of points, bodies (objects), and systems of bodies (groups of objects) without considering the forces that cause them to move. Kinematics, as a field of study, is often referred to as the "geometry of motion" and is occasionally seen as a branch of mathematics. A kinematics problem begins by describing the geometry of the system and declaring the initial conditions of any known values of position, velocity and/or acceleration of points within the system.
Data qualityData quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning". Moreover, data is deemed of high quality if it correctly represents the real-world construct to which it refers. Furthermore, apart from these definitions, as the number of data sources increases, the question of internal data consistency becomes significant, regardless of fitness for use for any particular external purpose.
