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Tuesday, May 16, 2023

05-16-2023-1322 - Industrial engineering, Multiple-criteria decision-making (MCDM) , minimum spanning tree (MST) , Gentrification Inclusionary zoning (IZ), inclusion, clause, gentrification, deliberation, council, clusivity, logic, inference, substitution error, mutlilingual, boolean logic, mineral, body, cell, taxonomy, directive, programming, variety methods, americans, machine, use, possible worlds, civilian, civilian level one, surface earth, planet earth, solar system, universe, sun, moon, etc. (draft)

From Wikipedia, the free encyclopedia

Inclusion or Include may refer to:

Sociology

  • Social inclusion, action taken to support people of different backgrounds sharing life together.
    • Inclusion (disability rights), promotion of people with disabilities sharing various aspects of life and life as a whole with those without disabilities.
    • Inclusion (education), to do with students with special educational needs spending most or all of their time with non-disabled students

Science and technology

Mathematics

Other uses

See also


https://en.wikipedia.org/wiki/Inclusion

Academic tenure in the United States and Canada is a contractual right that grants a teacher or professor a permanent position of employment at an academic institution such as a university or school.[1] Tenure is intended to protect teachers from dismissal without just cause, and to allow development of thoughts or ideas considered unpopular or controversial among the community. In North America, tenure is granted only to educators whose work is considered to be exceptionally productive and beneficial in their careers.[2][3]

Academic tenure became a standard for education institutions in North America with the introduction of the American Association of University Professors (AAUP)'s 1940 Statement of Principles on Academic Freedom and Tenure. In this statement, the AAUP provides a definition of academic tenure: "a means to certain ends, specifically: (1) freedom of teaching and research and of extramural activities, and (2) a sufficient degree of economic security to make the profession attractive to men and women of ability."[4] 

https://en.wikipedia.org/wiki/Academic_tenure_in_North_America

Gentrification is the process of changing the character of a neighborhood through the influx of more affluent residents and businesses.[1] It is a common and controversial topic in urban politics and planning. Gentrification often increases the economic value of a neighborhood, but the resulting demographic displacement may itself become a major social issue. Gentrification often sees a shift in a neighborhood's racial or ethnic composition and average household income as housing and businesses become more expensive and resources that had not been previously accessible are extended and improved.[2][3][4]

The gentrification process is typically the result of increasing attraction to an area by people with higher incomes spilling over from neighboring cities, towns, or neighborhoods. Further steps are increased investments in a community and the related infrastructure by real estate development businesses, local government, or community activists and resulting economic development, increased attraction of business, and lower crime rates. In addition to these potential benefits, gentrification can lead to population migration and displacement. In extreme cases, gentrification can be brought on by a prosperity bomb.[5] However, some view the fear of displacement, which dominates the debate about gentrification, as hindering discussion about genuine progressive approaches to distribute the benefits of urban redevelopment strategies.[6] 

https://en.wikipedia.org/wiki/Gentrification

Inclusionary zoning (IZ), also known as inclusionary housing, refers to municipal and county planning ordinances that require a given share of new construction to be affordable by people with low to moderate incomes. The term inclusionary zoning indicates that these ordinances seek to counter exclusionary zoning practices, which aim to exclude low-cost housing from a municipality through the zoning code. There are variations among different inclusionary zoning programs. Firstly, they can be mandatory or voluntary.[1] Though voluntary programs exist, the great majority has been built as a result of local mandatory programmes requiring developers to include the affordable units in their developments.[2] There are also variations among the set-aside requirements, affordability levels coupled with the period of control.[1] In order to encourage engagements in these zoning programs, developers are awarded with incentives for engaging in these programs, such as density bonus, expedited approval and fee waivers.[1]

In practice, these policies involve placing deed restrictions on 10–30% of new houses or apartments in order to make the cost of the housing affordable to lower-income households. The mix of "affordable housing" and "market-rate" housing in the same neighborhood is seen as beneficial by city planners and sociologists.[3] Inclusionary zoning is a tool for local municipalities in the United States to allegedly help provide a wider range of housing options than a free market provides on its own. Many economists consider the program as a price control on a percentage of units, which negatively impacts the supply of housing.[4]

Most inclusionary zoning is enacted at the municipal or county level; when imposed by the state, as in Massachusetts, it has been argued that such laws usurp local control. In such cases, developers can use inclusionary zoning to avoid certain aspects of local zoning laws. 

https://en.wikipedia.org/wiki/Inclusionary_zoning

A minimum spanning tree (MST) or minimum weight spanning tree is a subset of the edges of a connected, edge-weighted undirected graph that connects all the vertices together, without any cycles and with the minimum possible total edge weight.[1] That is, it is a spanning tree whose sum of edge weights is as small as possible.[2] More generally, any edge-weighted undirected graph (not necessarily connected) has a minimum spanning forest, which is a union of the minimum spanning trees for its connected components.  

https://en.wikipedia.org/wiki/Minimum_spanning_tree

In the theory of decision making, the analytic hierarchy process (AHP), also analytical hierarchy process,[1] is a structured technique for organizing and analyzing complex decisions, based on mathematics and psychology. It was developed by Thomas L. Saaty in the 1970s; Saaty partnered with Ernest Forman to develop Expert Choice software in 1983, and AHP has been extensively studied and refined since then. It represents an accurate approach to quantifying the weights of decision criteria. Individual experts’ experiences are utilized to estimate the relative magnitudes of factors through pair-wise comparisons. Each of the respondents compares the relative importance of each pair of items using a specially designed questionnaire. 

https://en.wikipedia.org/wiki/Analytic_hierarchy_process

Plot of two criteria when maximizing return and minimizing risk in financial portfolios (Pareto-optimal points in red dots)

Multiple-criteria decision-making (MCDM) or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making (both in daily life and in settings such as business, government and medicine). Conflicting criteria are typical in evaluating options: cost or price is usually one of the main criteria, and some measure of quality is typically another criterion, easily in conflict with the cost. In purchasing a car, cost, comfort, safety, and fuel economy may be some of the main criteria we consider – it is unusual that the cheapest car is the most comfortable and the safest one. In portfolio management, managers are interested in getting high returns while simultaneously reducing risks; however, the stocks that have the potential of bringing high returns typically carry high risk of losing money. In a service industry, customer satisfaction and the cost of providing service are fundamental conflicting criteria.

In their daily lives, people usually weigh multiple criteria implicitly and may be comfortable with the consequences of such decisions that are made based on only intuition.[1] On the other hand, when stakes are high, it is important to properly structure the problem and explicitly evaluate multiple criteria.[2] In making the decision of whether to build a nuclear power plant or not, and where to build it, there are not only very complex issues involving multiple criteria, but there are also multiple parties who are deeply affected by the consequences.

Structuring complex problems well and considering multiple criteria explicitly leads to more informed and better decisions. There have been important advances in this field since the start of the modern multiple-criteria decision-making discipline in the early 1960s. A variety of approaches and methods, many implemented by specialized decision-making software,[3][4] have been developed for their application in an array of disciplines, ranging from politics and business to the environment and energy.[5]

https://en.wikipedia.org/wiki/Multiple-criteria_decision_analysis

 

Industrial engineering is an engineering profession that is concerned with the optimization of complex processes, systems, or organizations by developing, improving and implementing integrated systems of people, money, knowledge, information and equipment. Industrial engineering is central to manufacturing operations.[1]

Industrial engineers use specialized knowledge and skills in the mathematical, physical and social sciences, together with the principles and methods of engineering analysis and design, to specify, predict, and evaluate the results obtained from systems and processes.[2] There are several industrial engineering principles followed in the manufacturing industry to ensure the effective flow of the systems, processes and operations.[1] This includes Lean Manufacturing, Six Sigma, Information Systems, Process Capability and Define, Measure, Analyze, Improve and Control (DMAIC). These principles allow the creation of new systems, processes or situations for the useful coordination of labor, materials and machines and also improve the quality and productivity of systems, physical or social.[3][4] Depending on the subspecialties involved, industrial engineering may also overlap with, operations research, systems engineering, manufacturing engineering, production engineering, supply chain engineering, management science, management engineering, financial engineering, ergonomics or human factors engineering, safety engineering, logistics engineering or others, depending on the viewpoint or motives of the user. 

https://en.wikipedia.org/wiki/Industrial_engineering

 

From Wikipedia, the free encyclopedia
(Redirected from Machines)
A Honda F1 racecar engine

A machine is a physical system using power to apply forces and control movement to perform an action. The term is commonly applied to artificial devices, such as those employing engines or motors, but also to natural biological macromolecules, such as molecular machines. Machines can be driven by animals and people, by natural forces such as wind and water, and by chemical, thermal, or electrical power, and include a system of mechanisms that shape the actuator input to achieve a specific application of output forces and movement. They can also include computers and sensors that monitor performance and plan movement, often called mechanical systems.

Renaissance natural philosophers identified six simple machines which were the elementary devices that put a load into motion, and calculated the ratio of output force to input force, known today as mechanical advantage.[1]

Modern machines are complex systems that consist of structural elements, mechanisms and control components and include interfaces for convenient use. Examples include: a wide range of vehicles, such as trains, automobiles, boats and airplanes; appliances in the home and office, including computers, building air handling and water handling systems; as well as farm machinery, machine tools and factory automation systems and robots

https://en.wikipedia.org/wiki/Machine

A stylistic depiction of a fragment from a CSV-formatted text file. The commas (shown in red) are used as field delimiters.

A delimiter is a sequence of one or more characters for specifying the boundary between separate, independent regions in plain text, mathematical expressions or other data streams.[1][2] An example of a delimiter is the comma character, which acts as a field delimiter in a sequence of comma-separated values. Another example of a delimiter is the time gap used to separate letters and words in the transmission of Morse code.

In mathematics, delimiters are often used to specify the scope of an operation, and can occur both as isolated symbols (e.g., colon in "") and as a pair of opposing-looking symbols (e.g., angled brackets in ).

Delimiters represent one of various means of specifying boundaries in a data stream. Declarative notation, for example, is an alternate method that uses a length field at the start of a data stream to specify the number of characters that the data stream contains.[3]

https://en.wikipedia.org/wiki/Delimiter

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