Saturday, December 31, 2022
ȳ - > What Is Financial Engineering?
Wednesday, December 28, 2022
ȳ - > Designing an experimental study
An experimental study is a research design used in psychology to gather information. There are many reasons to design an experimental study. For example, a medical researcher may run an experiment to test the efficacy of a new drug or treatment. Many experiments in the natural sciences are based on the principles of randomization and control groups. These principles ensure that the findings are valid and applicable to other situations. Designing an effective experiment is crucial for collecting valid data. The term 'experimental study' originates from the Greek word experimenta, which translated as 'to find out.' In early experiments, scientists compared the merits of two or more theories to determine which one was more accurate. This methodology is now called 'the scientific method.' However, not all scientific research is based on the scientific method- some experimental studies use non-random sampling methods to collect data. These are sometimes referred to as 'pseudo-experiments.' At times, experimental studies are used instead of clinical trials. This is because clinical trials require animals (and sometimes humans) while experimental studies use only human subjects. Essentially, what you learn as an experimental subject can help inform future design choices. When designing an experiment, you must first determine how you want to collect your data. There are three commonly used sampling approaches in experimental studies; convenience sample, consecutive sample and census sample. A convenience sample collects the data from people who voluntarily agree to participate in your study. For example, if a research team wants to test the efficacy of advertisement strategies on driving sales, they would approach automobile dealers as their convenience sample. To ensure an accurate sample, you must inform subjects about the goals of your study before asking for their participation. Next, you must contact all subjects who meet your criteria and ask them to participate. After that, you must closely follow up with any subjects who have failed to respond so far and encourage them to participate in your study. To successfully collect your data, you must be extremely patient and persistent- but it's worth it! After deciding on your sampling approach, you will need a plan for how you will collect your data. You need this plan since collecting your data is an active process that happens over time. You must also choose a control group and an experimental group so that you can compare their responses during your experiment. To ensure that each group has equal access to the materials you want to test, you may want to distribute the items yourself or have an outside party do so for you. You can also control how long each subject spends interacting with each object or question so that every subject receives equal time and attention from your researchers. You will also need a schedule of when each subject will undergo each experimental task so that you can track his progress toward achieving your goals. Experimental studies require significant preparation since nothing is done 'on the fly' when collecting data! Once all of these preparations are complete, it's time to actually start collecting your data! You need to properly implement each task so that each subject receives equal attention from your researchers and experts in your field and conduct unbiased assessment sessions on your behalf. Here are some tips for implementing each task:
1) properly explain each task to each subject - make sure everyone understands what they're supposed 100% of subjects understand the goals of each task before implementing it! If they don't understand what you're asking them to do, 99% sure they'll misunderstand and refuse to participate!
2) If a subject fails at completing any part of a task - make sure he understands what went wrong so he can avoid repeating that mistake in the future!
3) If a subject refuses - calmly but firmly ask him if he will please cooperate with you during this portion of the study? Then skip through tasks until he complies with your request again!
4) Promote emotional regulation during this portion of your experiment by providing positive reinforcement when subjects comply with your requests? Smile at subjects when they comply with requests for cooperation? 5);
Monday, December 26, 2022
x̄ - > Sampling techniques
Sunday, December 25, 2022
x̄ - > The Five Types of Sampling Techniques Used in Marketing Research
Saturday, December 24, 2022
x̄ - > Geometric mean: forecasting portfolio performance
The geometric mean is a statistical technique that is used to forecast the performance of a portfolio. This technique is based on the assumption that the returns of a portfolio are normally distributed. The geometric mean is calculated by taking the arithmetic mean of the logarithms of the returns of the portfolio. This technique is used by investors to forecast the future performance of their portfolios.
The geometric mean is a statistical measure that is used to forecast the performance of a portfolio. It is calculated by taking the product of all the prices of the assets in the portfolio and then taking the nth root of the product, where n is the number of assets in the portfolio.
The geometric mean is a useful measure for forecasting portfolio performance because it is not affected by outliers, and it is a more accurate measure of central tendency than the arithmetic mean.
When forecasting portfolio performance, it is important to consider all of the assets in the portfolio, as well as the volatility of the markets. The geometric mean is a good tool to use in this forecasting process because it takes into account all of the assets in the portfolio, and it is not influenced by outliers.
The geometric mean is a statistical method used to calculate the average of a set of data points. It can be used to forecast portfolio performance by taking into account the variability of the data points. The geometric mean is calculated by taking the product of all data points and taking the nth root, where n is the number of data points. This method is often used by investors to forecast the performance of their portfolios.
The geometric mean is a type of average that is useful for forecasting portfolio performance. It is calculated by taking the product of all the values in the data set, and then taking the nth root of the result, where n is the number of values in the data set.
This type of average is particularly useful for forecasting portfolio performance because it is not influenced by extreme values, as the arithmetic mean is. This makes it a more accurate representation of the true underlying performance of the portfolio.
The geometric mean can be used to forecast future performance by extrapolating from past performance. This is done by calculating the geometric mean of past performance data and then using this as a predictor of future performance.
This method is not without its limitations, however. The most significant limitation is that it only works if the data set is complete, and contains all of the relevant data points. If there are any missing data points, then the forecast will be less accurate.
Another limitation is that the geometric mean is only an accurate predictor of future performance if the data set is stationary. This means that the statistical properties of the data set must be constant over time. If the data set is not stationary, then the forecast will be less accurate.
Despite these limitations, a geometric mean is a useful tool for forecasting portfolio performance. It is more accurate than the arithmetic means and can be used to predict future performance if the data set is complete and stationery.
Sunday, December 18, 2022
x̄ - > Chooser option pricing
Chooser option pricing is a type of pricing model used to determine the price of a chooser option. This model takes into account the probability of the underlying asset's price being above or below the strike price at the expiration date. The price of the option is then determined by the expected value of the underlying asset's price at the expiration date.
Option pricing is the process of determining the value of an option. The value of an option is based on a number of factors, including the underlying asset's price, the option's strike price, the option's expiration date, and the option's volatility.
Option pricing is a complex process, and there are a number of different models that can be used to calculate the value of an option. The most popular model is the Black-Scholes model, which is used by most financial institutions.
Option pricing is an important part of financial planning and risk management. It can be used to determine the best time to buy or sell an option and to hedge against potential losses.
Option pricing is the process of determining the price of an options contract. The price of an options contract is based on a number of factors, including the underlying asset's price, the options strike price, the options expiration date, and the options volatility.
There are a few different ways to price chooser options. The most common is the Black-Scholes model, which prices the option based on the current stock price, the strike price, the volatility of the stock, the time to expiration, and the interest rate. However, there are also other methods, such as binomial pricing and Monte Carlo simulations.
Chooser options can be used as a tool for hedging or speculation. For hedging, the goal is to minimize the risk of the underlying asset, and for speculation, the goal is to maximize the potential return.
Chooser options can be a complex financial instrument, and it is important to understand the different pricing models before trading them.
Option pricing is the process of determining the value of an option. The value of an option is determined by its underlying asset, its strike price, its expiration date, and the volatility of the underlying asset. The underlying asset is the asset that the option gives the holder the right to buy or sell. The strike price is the price at which the underlying asset can be bought or sold. The expiration date is the date on which the option expires. The volatility of the underlying asset is the degree of fluctuation in the price of the underlying asset.
Chooser option pricing is a type of pricing model used for certain types of financial contracts. It is based on the idea of giving the buyer of the contract the option to choose the price at which the contract will be settled. This price is usually set at the time the contract is signed, but the buyer may choose to wait and see what prices are available before making their choice. This type of pricing can be used for a variety of different types of contracts, including options, futures, and swaps.
Saturday, December 17, 2022
x̄ - > learn R
R is a free and open-source programming language that is widely used for statistical computing and data analysis. There are many reasons to learn R, but some of the most popular include its flexibility, its ability to handle large data sets, and its wide range of statistical and graphical analysis tools. R is also a popular language for developing machine learning models and is increasingly being used for big data analysis. Whether you're a beginner or an experienced programmer, learning R can be a valuable addition to your skill set.
R is a programming language and software environment for statistical computing and graphics. It is free and open-source software under the GNU General Public License. R was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is now developed by the R Development Core Team.
R is a powerful tool for data analysis and statistical computing. It is easy to use and has a wide range of packages and libraries available. R is also a great language for learning programming and statistical concepts.
R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. R is also used by many scientists who find it useful for statistical analysis, data visualization, and machine learning.
R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. R is also used by many scientists who find it useful for statistical analysis and machine learning.
Although you can use R without knowing much about the underlying statistical concepts, it is important to have at least a basic understanding of these concepts in order to effectively use R. The best way to learn R is to take an online course or tutorial that covers the basics of the language. Once you have a basic understanding of the language, you can then start using R to perform statistical analyses. There are many online resources that can help you learn R, so take advantage of these resources and start learning today!
Sunday, December 11, 2022
x̄ - > Daily Stock returns formula
The daily stock return formula is used to calculate the percentage return on a stock over a given period of time. This can be useful for investors who are trying to compare different stocks or track the performance of a particular stock over time.
There are a number of ways to calculate daily stock returns, but the most common method is to simply take the closing price of a stock on one day and divide it by the closing price of the stock the previous day. This will give you a percentage change in the stock price over the course of one day. Another popular method is to take the average of the high and low prices of a stock on one day and divide it by the closing price of the stock the previous day. Whichever method you choose, be sure to use the same method for all of your calculations to ensure accuracy.
There are a number of different ways to calculate daily stock returns, but the most common method is to simply take the closing price of the stock on one day and divide it by the closing price of the stock on the previous day. This will give you the percentage change in the stock price over that one-day period.
To calculate the daily stock return, you will need the following information:
- The stock's price at the beginning of the period
- The stock's price at the end of the period
- The number of days in the period
Once you have this information, you can use the following formula:
((Ending stock price - Beginning stock price) / Beginning stock price) * (Number of days in period)
For example, let's say that you are tracking the performance of ABC Corporation stock over a 30-day period. The stock's price at the beginning of the period was $10 per share and the stock's price at the end of the period was $12 per share. Using the formula, we would calculate the daily stock return as follows:
((12 - 10) / 10) * 30 = 0.60
This means that the stock's price increased by 0.60% each day, on average, over the 30-day period.
Saturday, December 10, 2022
x̄ - > A minute on the Internet
A minute on the internet can feel like a lifetime. There's so much to see, do, and discover. Whether you're looking for the latest news, scrolling through social media, or shopping for that perfect gift, the internet has something for everyone.
In just 60 seconds, you can come across a funny meme, read a heartwarming story, or find out about a new product or service. With so much to offer, it's no wonder the internet has become such a popular destination for people of all ages.
A minute on the internet can be a very long time. It all depends on what you do with that minute. If you spend it browsing social media, you might only scratch the surface of what the internet has to offer. However, if you use that minute to learn something new or explore something interesting, you can easily find yourself lost in the depths of the internet for hours on end. There is so much to see and do online that it is impossible to cover everything in just one minute. The internet is a vast and ever-changing landscape, and there is always something new to discover. So, take your time and explore the many wonders of the internet. You might be surprised at what you find.
In just one minute, a lot can happen on the internet. A new video can go viral, a new blog post can be published, and a new meme can be created. In a minute, you can also join a new social media group, start following a new account, and add a new contact. A minute on the internet is a minute of constant activity and movement.
A minute on the internet is a lifetime. In that time, you can connect with friends and family all over the world, learn new things, and be entertained. You can also be bombarded with ads, clickbait, and false information. It's important to be aware of all the potential dangers and pitfalls of the internet, but it's also important to remember all the good that it can bring. With a little bit of caution and a lot of common sense, you can make the most of your time online.
Sunday, December 04, 2022
x̄ - > Emerging markets
The world is constantly changing and evolving, and so are the markets. With new technologies and industries emerging all the time, there are always new opportunities for investors.
Emerging markets are those that are in the early stages of development, and are therefore considered to be high-risk/high-reward. They can be very volatile, but also offer the potential for huge returns.
Investing in emerging markets is not for the faint-hearted. It takes a lot of research and due diligence to identify the right opportunities. But for those who are willing to take on the risk, the rewards can be very lucrative.
The term "emerging markets" refers to countries that are in the process of industrialization and economic growth. These countries are typically categorized as developing or newly industrialized nations.
There are many factors that contribute to the classification of a country as an emerging market. Some of these include a country's GDP, GNP, per capita income, and level of industrialization. Additionally, the size of the country's population and its growth rate is also taken into consideration.
The economies of emerging markets are typically characterized by high levels of risk and volatility. This is due to the fact that they are still in the process of industrialization and are thus subject to a number of economic, political, and social factors that can affect their growth. Additionally, emerging markets are often highly dependent on international trade and capital flows, which can also be volatile.
Despite the risks, emerging markets offer a number of opportunities for investors. They tend to have high rates of economic growth, which can lead to increased profits. Additionally, they often offer lower costs of production, making them an attractive option for companies looking to expand their operations.
The risks and rewards of investing in emerging markets must be carefully considered before making any decisions. However, for those willing to take on the risks, emerging markets can be a highly lucrative investment opportunity.
The world's economy is increasingly globalized, and emerging markets are playing an increasingly important role. Emerging markets are those countries that are in the process of industrializing and developing their economies. They typically have high growth rates and offer opportunities for businesses to expand their markets.
However, emerging markets also come with risks. They can be volatile and unpredictable, and companies operating in them need to be aware of the potential risks and be prepared to deal with them.
Despite the risks, many companies are finding that the rewards of operating in emerging markets are outweighing the risks. The potential for growth and expansion is significant, and businesses that are able to successfully navigate the challenges of these markets can reap significant rewards.
Saturday, December 03, 2022
x̄ - > Time Series Analysis and forecasting
Time series analysis and forecasting are powerful tools that can be used to identify trends and make predictions about future events. Time series data can be used to track changes over time, such as the growth of a population or the price of a stock. This data can then be used to create models that can be used to make predictions about future events.
Time series analysis can be used to identify trends in data, such as the direction of a stock price or the amount of rainfall in a particular region. This information can then be used to make predictions about future events. Time series analysis can also be used to identify relationships between different variables, such as the relationship between rainfall and crop yields.
Time series analysis and forecasting is the process of analyzing past data points to identify trends and predict future behavior. This type of analysis can be used to predict sales, economic indicators, or other variables that change over time. Time series analysis is a powerful tool that can help businesses make better decisions and plan for the future.
Sunday, November 27, 2022
x̄ - > Generalized Linear Models Theory
A generalized linear model is a statistical model that is used to predict a dependent variable, y, given a set of independent variables, x. The model is a generalization of the linear regression model, which is used when the dependent variable is continuous. The generalized linear model is used when the dependent variable is categorical, such as when predicting the likelihood of an event occurring.
The generalized linear model is based on the assumption that the dependent variable is a linear combination of the independent variables. This means that the model can be used to predict the value of the dependent variable for any given set of values for the independent variables. The model is also based on the assumption that the errors in the predictions are normally distributed.
The generalized linear model can be used to predict the value of the dependent variable for any given set of values for the independent variables. The model is also based on the assumption that the errors in the predictions are normally distributed. This means that the model can be used to predict the likelihood of an event occurring.
Saturday, November 26, 2022
x̄ - > Tic Tac Toe
Tic tac toe is a game that has been around for centuries. The game is simple, yet challenging, and can be played by people of all ages. The objective of the game is to get three of your pieces in a row, either horizontally, vertically, or diagonally. The game can be played with two players, or with one player against a computer.
Tic tac toe is one of the most popular games in the world. It is simple to learn and can be played by people of all ages. The game can be played with two players or more, and the objective is to get three in a row - either horizontally, vertically, or diagonally. Tic tac toe is a great game for developing logic and problem-solving skills and can be a fun way to pass the time.
There are many strategies that can be used in tic tac toe, and the game can be played in a variety of different ways. The most important thing is to have fun and challenge yourself. Whether you are playing against a friend or against a computer, tic tac toe is a great game to test your skills.
Tic tac toe is a classic game that has been around for centuries. The game is simple to learn and can be played by people of all ages. The game can be played with two players or more, and is a great way to pass the time. Tic tac toe is a game of strategy and luck and can be very addicting. The game can be played on paper, or online. There are many different variations of the game, and it can be played in a variety of different ways.
Tic tac toe, also known as noughts and crosses, is a game for two players, typically played on a 3x3 grid. The game is played by taking turns to mark a square on the grid. The first player to get three of their marks in a row, horizontally, vertically, or diagonally, is the winner.
Tic tac toe is a simple game that can be enjoyed by people of all ages. It is a great game for developing strategic thinking and problem-solving skills. The game can be played anywhere, with just a pencil and paper, making it a great activity for rainy days or long car journeys. So next time you need a break from your phone or computer, why not give tic tac toe a try?
Sunday, November 20, 2022
x̄ - > Language and Linguistics in Stochastic Monte Carlo Methods
Language and linguistics
Non-deterministic approaches in language studies are largely inspired by the work of Ferdinand de Saussure, for example, in functionalist linguistic theory, which argues that competence is based on performance. This distinction in functional theories of grammar should be carefully distinguished from the langue and parole distinction. To the extent that linguistic knowledge is constituted by experience with language, grammar is argued to be probabilistic and variable rather than fixed and absolute. This conception of grammar as probabilistic and variable follows from the idea that one's competence changes in accordance with one's experience with the language. Though this conception has been contested, it has also provided the foundation for modern statistical natural language processing and for theories of language learning and change. Manufacturing processes are assumed to be stochastic processes. This assumption is largely valid for either continuous or batch manufacturing processes. Testing and monitoring of the process is recorded using a process control chart which plots a given process control parameter over time. Typically a dozen or many more parameters will be tracked simultaneously.
Statistical models are used to define limit lines which define when corrective actions must be taken to bring the process back to its intended operational window. This same approach is used in the service industry where parameters are replaced by processes related to service level agreements. Media The marketing and the changing movement of audience tastes and preferences, as well as the solicitation of and the scientific appeal of the certain film and television debuts, are determined in part by stochastic modeling. A recent attempt at repeat business analysis was done by Japanese scholars and is part of the Cinematic Contagion Systems patented by Geneva Media Holdings, and such modeling has been used in data collection from the time of the original Nielsen ratings to modern studio and television test audiences. Medicine Stochastic effect, or "chance effect" is one classification of radiation effects that refers to the random, statistical nature of the damage. In contrast to the deterministic effect, severity is independent of dose. Only the probability of an effect increases with dose. Music In music, mathematical processes based on probability can generate stochastic elements.
Stochastic processes may be used in music to compose a fixed piece or may be produced in performance. Stochastic music was pioneered by Iannis Xenakis, who coined the term stochastic music. Specific examples of mathematics, statistics, and physics applied to music composition are the use of the statistical mechanics of gases in Pithoprakta, the statistical distribution of points on a plane in Diamorphoses, minimal constraints in Achorripsis, the normal distribution in ST/10 and Atrées, Markov chains in Analogiques, game theory in Duel and Stratégie, group theory in Nomos Alpha, set theory in Herma and Eonta, and Brownian motion in N'Shima. Xenakis frequently used computers to produce his scores, such as the ST series including Morsima-Amorsima and Atrées and founded CEMAMu. Earlier, John Cage and others had composed aleatoric or indeterminate music, which is created by chance processes but does not have a strictly mathematical basis. Lejaren Hiller and Leonard Issacson used generative grammars and Markov chains in their 1957 Illiac Suite. Modern electronic music production techniques make these processes relatively simple to implement, and many hardware devices such as synthesizers and drum machines incorporate randomization features. Generative music techniques are therefore readily accessible to composers, performers, and producers.
Social sciences Stochastic social science theory is similar to systems theory in that events are interactions of systems, although with a marked emphasis on unconscious processes. The event creates its own conditions of possibility, rendering it unpredictable if simply on the number of variables involved. Stochastic social science theory can be seen as an elaboration of a kind of 'third axis' in which to situate human behavior alongside the traditional 'nature vs. nurture' opposition. See Julia Kristeva on her usage of the 'semiotic', Luce Irigaray on reverse Heideggerian epistemology, and Pierre Bourdieu on polythetic space for examples of stochastic social science theory. The term "Stochastic Terrorism" has fallen into frequent use with regard to lone-wolf terrorism.
The terms "Scripted Violence" and "Stochastic Terrorism" are linked in a "cause-effect" relationship. "Scripted Violence" rhetoric can result in an act of "Stochastic Terrorism." The phrase "scripted violence" has been used in social science since at least 2002. Author David Neiwert, who wrote the book Alt-America, told Salon interviewer Chauncey Devega: Subtractive color reproduction When color reproductions are made, the image is separated into its component colors by taking multiple photographs filtered for each color. One resultant film or plate represents each of the cyan, magenta, yellow, and black data. Color printing is a binary system, where ink is either present or not present, so all color separations to be printed must be translated into dots at some stage of the workflow. Traditional line screens which are amplitude modulated had problems with moiré but were used until stochastic screening became available. A stochastic dot pattern creates a sharper image. See also Jump process Sortition Stochastic process Notes References Further reading Formalized Music: Thought and Mathematics in Composition by Iannis Xenakis, Frequency and the Emergence of Linguistic Structure by Joan Bybee and Paul Hopper, / The Stochastic Empirical Loading and Dilution Model provides documentation and computer code for modeling stochastic processes in Visual Basic for Applications.
Saturday, November 19, 2022
x̄ - > Stochastic that Monte Carlo methods
Stochastic Monte Carlo methods began to be studied in depth. In the 1950s they were used at Los Alamos for early work relating to the development of the hydrogen bomb and became popularized in the fields of physics, physical chemistry, and operations research. The RAND Corporation and the U.S. Air Force were two of the major organizations responsible for funding and disseminating information on Monte Carlo methods during this time, and they began to find a wide application in many different fields. Uses of Monte Carlo methods require large amounts of random numbers, and it was their use that spurred the development of pseudorandom number generators, which were far quicker to use than the tables of random numbers which had been previously used for statistical sampling. Biology Stochastic resonance: In biological systems, introducing stochastic "noise" has been found to help improve the signal strength of the internal feedback loops for balance and other vestibular communication. It has been found to help diabetic and stroke patients with balance control. Many biochemical events also lend themselves to stochastic analysis. Gene expression, for example, has a stochastic component through the molecular collisions—as during the binding and unbinding of RNA polymerase to a gene promoter—via the solution's Brownian motion.
Creativity Simonton argues that creativity in science is a constrained stochastic behavior such that new theories in all sciences are, at least in part, the product of a stochastic process. Computer science Stochastic ray tracing is the application of Monte Carlo simulation to the computer graphics ray tracing algorithm. "Distributed ray tracing samples the integrand at many randomly chosen points and averages the results to obtain a better approximation. It is essentially an application of the Monte Carlo method to 3D computer graphics, and for this reason, is also called Stochastic ray tracing." Stochastic forensics analyzes computer crime by viewing computers as stochastic processes. In artificial intelligence, stochastic programs work by using probabilistic methods to solve problems, as in simulated annealing, stochastic neural networks, stochastic optimization, genetic algorithms, and genetic programming. A problem itself may be stochastic as well, as in planning under uncertainty. Finance The financial markets use stochastic models to represent the seemingly random behavior of assets such as stocks, commodities, relative currency prices, and interest rates. These models are then used by quantitative analysts to value options on stock prices, bond prices, and on interest rates, see Markov models. Moreover, it is at the heart of the insurance industry. Geomorphology The formation of river meanders has been analyzed as a stochastic process.
Sunday, November 13, 2022
x̄ - > Broker
Saturday, November 12, 2022
x̄ - > A motorcycle
A motorcycle, often called a motorbike, bike, cycle, or trike is a two- or three-wheeled motor vehicle. Motorcycle design varies greatly to suit a range of different purposes: long-distance travel, commuting, cruising, sport, and off-road riding. Motorcycling is riding a motorcycle and being involved in other related social activities such as joining a motorcycle club and attending motorcycle rallies. The 1885 Daimler Reitwagen made by Gottlieb Daimler and Wilhelm Maybach in Germany was the first internal combustion, petroleum-fueled motorcycle. In 1894, Hildebrand & Wolfmüller became the first series production motorcycle. Globally, motorcycles are comparably popular with cars as a method of transport. In 2021, approximately 58.6 million new motorcycles were sold around the world, fewer than the 66.7 million cars sold over the same period.
In 2014, the three top motorcycle producers globally by volume were Honda, Yamaha, and Hero MotoCorp. In developing countries, motorcycles are considered utilitarian due to lower prices and greater fuel economy. Of all the motorcycles in the world, 58% are in the Asia-Pacific and Southern and Eastern Asia regions, excluding car-centric Japan. According to the US Department of Transportation, the number of fatalities per vehicle mile traveled was 37 times higher for motorcycles than for cars. Types The term motorcycle has different legal definitions depending on the jurisdiction. There are three major types of motorcycles: street, off-road, and dual purpose. Within these types, there are many sub-types of motorcycles for different purposes. There is often a racing counterpart to each type, such as road racing and street bikes, or motocross including dirt bikes. Street bikes include cruisers, sportbikes, scooters and mopeds, and many other types. Off-road motorcycles include many types designed for dirt-oriented racing classes such as motocross and are not street-legal in most areas.
Dual-purpose machines like the dual-sport style are made to go off-road but include features to make them legal and comfortable on the street as well. Each configuration offers either specialized advantage or broad capability, and each design creates a different riding posture. In some countries, the use of pillions is restricted. History Experimentation and invention The first internal combustion, petroleum-fueled motorcycle was the Daimler Reitwagen. It was designed and built by the German inventors Gottlieb Daimler and Wilhelm Maybach in Bad Cannstatt, Germany, in 1885. This vehicle was unlike either the safety bicycles or the boneshaker bicycles of the era in that it had zero degrees of steering axis angle and no fork offset, and thus did not use the principles of bicycle and motorcycle dynamics developed nearly 70 years earlier. Instead, it relied on two outrigger wheels to remain upright while turning. The inventors called their invention the Reitwagen. It was designed as an expedient testbed for their new engine, rather than a true prototype vehicle. The first commercial design for a self-propelled cycle was a three-wheel design called the Butler Petrol Cycle, conceived of Edward Butler in England in 1884. He exhibited his plans for the vehicle at the Stanley Cycle Show in London in 1884.
The vehicle was built by the Merryweather Fire Engine company in Greenwich, in 1888. The Butler Petrol Cycle was a three-wheeled vehicle, with the rear wheel directly driven by a displacement, bore × stroke, flat twin four-stroke engine equipped with rotary valves and a float-fed carburetor and Ackermann steering, all of which were state of the art at the time. Starting was by compressed air. The engine was liquid-cooled, with a radiator over the rear driving wheel. Speed was controlled by means of a throttle valve lever. No braking system was fitted; the vehicle was stopped by raising and lowering the rear driving wheel using a foot-operated lever; the weight of the machine was then borne by two small castor wheels. The driver was seated between the front wheels. It wasn't, however, a success, as Butler failed to find sufficient financial backing. Many authorities have excluded steam-powered, electric motorcycles or diesel-powered two-wheelers from the definition of a 'motorcycle', and credit the Daimler Reitwagen as the world's first motorcycle. Given the rapid rise in the use of electric motorcycles worldwide, defining only internal-combustion-powered two-wheelers as 'motorcycles' is increasingly problematic.
The first internal-combustion motorcycles, like the German Reitwagen, were, however, also the first practical motorcycles. If a two-wheeled vehicle with steam propulsion is considered a motorcycle, then the first motorcycles built seem to be the French Michaux-Perreaux steam velocipede whose patent application was filled in December 1868, constructed around the same time as the American Roper steam velocipede, built by Sylvester H. Roper Roxbury, Massachusetts. who demonstrated his machine at fairs and circuses in the eastern U.S. in 1867, Excelsior Motor Company, originally a bicycle manufacturing company based in Coventry, England, began production of their first motorcycle model in 1896. The first production motorcycle in the US was the Orient-Aster, built by Charles Metz in 1898 at his factory in Waltham, Massachusetts. In the early period of motorcycle history, many producers of bicycles adapted their designs to accommodate the new internal combustion engine. As the engines became more powerful and designs outgrew the bicycle origins, the number of motorcycle producers increased. Many of the nineteenth-century inventors who worked on early motorcycles often moved on to other inventions. Daimler and Roper, for example, both went on to develop automobiles. At the end of the 19th century, the first major mass-production firms were set up.
In 1898, Triumph Motorcycles in England began producing motorbikes, and by 1903 it was producing over 500 bikes. Other British firms were Royal Enfield, Norton, Douglas Motorcycles, and Birmingham Small Arms Company which began motorbike production in 1899, 1902, 1907, and 1910, respectively. Indian began production in 1901 and Harley-Davidson was established two years later. By the outbreak of World War I, the largest motorcycle manufacturer in the world was Indian, producing over 20,000 bikes per year. First World War During the First World War, motorbike production was greatly ramped up for the war effort to supply effective communications with front-line troops. Messengers on horses were replaced with despatch riders on motorcycles carrying messages, performing reconnaissance, and acting as military police. The American company Harley-Davidson was devoting over 50% of its factory output toward military contracts by the end of the war.
The British company Triumph Motorcycles sold more than 30,000 of its Triumph Type H model to allied forces during the war. With the rear wheel driven by a belt, the Model H was fitted with an air-cooled four-stroke single-cylinder engine. It was also the first Triumph without pedals. The Model H in particular is regarded by many as having been the first "modern motorcycle". Introduced in 1915 it had a 550 cc side-valve four-stroke engine with a three-speed gearbox and belt transmission. It was so popular with its users that it was nicknamed the "Trusty Triumph". Postwar By 1920, Harley-Davidson was the largest manufacturer, with its motorcycles being sold by dealers in 67 countries. Amongst many British motorcycle manufacturers, Chater-Lea with its twin-cylinder models followed by its large singles in the 1920s stood out. Initially, using converted a Woodman-designed ohv Blackburne engine it became the first 350 ccs to exceed 100 mph, recording 100.81 mph over the flying kilometer during April 1924. Later, Chater-Lea set a world record for the flying kilometer for 350 cc and 500 cc motorcycles at 102.9 mph for the firm. Chater-Lea produced variants of these world-beating sports models and became popular among racers at the Isle of Man TT.
Today, the firm is probably best remembered for its long-term contract to manufacture and supply AA Patrol motorcycles and sidecars. By the late 1920s or early 1930s, DKW in Germany took over as the largest manufacturer. In the 1950s, streamlining began to play an increasing part in the development of racing motorcycles, and the "dustbin fairing" held out the possibility of radical changes to motorcycle design. NSU and Moto Guzzi were in the vanguard of this development, both producing very radical designs well ahead of their time. NSU produced the most advanced design, but after the deaths of four NSU riders in the 1954–1956 seasons, they abandoned further development and quit Grand Prix motorcycle racing. Moto Guzzi produced competitive race machines, and until the end of 1957 had a succession of victories. The following year, 1958, full enclosure fairings were banned from racing by the FIM in light of safety concerns. From the 1960s through the 1990s, small two-stroke motorcycles were popular worldwide, partly as a result of East German MZs Walter Kaaden's engine work in the 1950s.
Today In the 21st century, the motorcycle industry is mainly dominated by Indian and Japanese motorcycle companies. In addition to the large capacity motorcycles, there is a large market in smaller capacity motorcycles, mostly concentrated in Asian and African countries and produced in China and India. A Japanese example is the 1958 Honda Super Cub, which went on to become the biggest-selling vehicle of all time, with its 60 millionth unit produced in April 2008. Today, this area is dominated by mostly Indian companies with Hero MotoCorp emerging as the world's largest manufacturer of two-wheelers. Its Splendor model has sold more than 8.5 million to date. Other major producers are Bajaj and TVS Motors. Technical aspects Construction Motorcycle construction is the engineering, manufacturing, and assembly of components and systems for a motorcycle which results in the performance, cost, and aesthetics desired by the designer. With some exceptions, the construction of modern mass-produced motorcycles has standardized on a steel or aluminum frame, telescopic forks holding the front wheel, and disc brakes. Some other body parts, designed for either aesthetic or performance reasons may be added. A petrol-powered engine typically consisting of between one and four cylinders coupled to a manual five- or six-speed sequential transmission drives the swingarm-mounted rear wheel by a chain, driveshaft, or belt. The repair can be done using a Motorcycle lift.
Fuel economy Motorcycle fuel economy varies greatly with engine displacement and riding style. A streamlined, fully faired Matzu Matsuzawa Honda XL125 was achieved in the Craig Vetter Fuel Economy Challenge "on real highways – in real conditions". Due to low engine displacements, and high power-to-mass ratios, motorcycles offer good fuel economy. Under conditions of fuel scarcity like in 1950s Britain and modern developing nations, motorcycles claim large shares of the vehicle market. In the United States, the average motorcycle fuel economy is 44 miles per US gallon. Electric motorcycles Very high fuel economy equivalents are often derived from electric motorcycles. Electric motorcycles are nearly silent, zero-emission electric motor-driven vehicles. Operating range and top speed are limited by battery technology. Fuel cells and petroleum-electric hybrids are also under development to extend the range and improve the performance of the electric drive system. Reliability A 2013 survey of 4,424 readers of the US Consumer Reports magazine collected reliability data on 4,680 motorcycles purchased new from 2009 to 2012. With such a short wheelbase, motorcycles can generate enough torque at the rear wheel, and enough stopping force at the front wheel, to lift the opposite wheel off the road. These actions, if performed on purpose, are known as wheelies and stoppies respectively. Accessories Various features and accessories may be attached to a motorcycle either as OEM or aftermarket. Such accessories are selected by the owner to enhance the motorcycle's appearance, safety, performance, or comfort, and may include anything from mobile electronics to sidecars and trailers. Records The world record for the longest motorcycle jump was set in 2008 by Robbie Maddison.
Since late 2010, the Ack Attack team has held the motorcycle land-speed record at 376.36 mph. Safety Motorcycles have a higher rate of fatal accidents than automobiles or trucks and buses. United States Department of Transportation data for 2005 from the Fatality Analysis Reporting System show that for passenger cars, 18.62 fatal crashes occur per 100,000 registered vehicles. For motorcycles, this figure is higher at 75.19 per 100,000 registered vehicles – four times higher than for cars. The same data shows that 1.56 fatalities occur per 100 million vehicle miles traveled for passenger cars, whereas for motorcycles the figure is 43.47 which is 28 times higher than for cars. This is sometimes called an acronym formed from the motorists' common response of "Sorry mate, I didn't see you". Motorcyclists can anticipate and avoid some of these crashes with proper training, increasing their visibility to other traffic, keeping to the speed limits, and not consuming alcohol or other drugs before riding. The United Kingdom has several organizations dedicated to improving motorcycle safety by providing advanced rider training beyond what is necessary to pass the basic motorcycle license test. These include the Institute of Advanced Motorists and the Royal Society for the Prevention of Accidents. Along with increased personal safety, riders with these advanced qualifications may benefit from reduced insurance costs
In South Africa, the Think Bike campaign is dedicated to increasing both motorcycle safety and the awareness of motorcycles on the country's roads. The campaign, while strongest in the Gauteng province, has representation in Western Cape, KwaZulu Natal, and the Free State. It has dozens of trained marshals available for various events such as cycle races and is deeply involved in numerous other projects such as the annual Motorcycle Toy Run. Motorcycle safety education is offered throughout the United States by organizations ranging from state agencies to non-profit organizations to corporations. Most states use the courses designed by the Motorcycle Safety Foundation, while Oregon and Idaho developed their own. All of the training programs include a Basic Rider Course, an Intermediate Rider Course, and an Advanced Rider Course. In Ireland, since 2010, in the UK and some Australian jurisdictions, such as Victoria, New South Wales, the Australian Capital Territory, Tasmania, and the Northern Territory, it is compulsory to complete a basic rider training course before being issued a Learners Licence, after which they can ride on public roads.
In Canada, motorcycle rider training is compulsory in Quebec and Manitoba only, but all provinces and territories have graduated license programs that place restrictions on new drivers until they have gained experience. Eligibility for a full motorcycle license or endorsement for completing a Motorcycle Safety course varies by province. Without the Motorcycle Safety Course, the chance of getting insurance for the motorcycle is very low. The Canada Safety Council, a non-profit safety organization, offers the Gearing Up program across Canada and is endorsed by the Motorcycle and Moped Industry Council. Training course graduates may qualify for reduced insurance premiums. Motorcycle rider postures The motorcyclist's riding position depends on the rider's body geometry combined with the geometry of the motorcycle itself. These factors create a set of three basic postures. Sport – the rider leans forward into the wind and the weight of the upper torso is supported by the rider's core at low speed and air pressure at high speed. The footpegs are below the rider or to the rear. The reduced frontal area cuts wind resistance and allows higher speeds. At low speeds in this position, the rider's arms may bear some of the weight of the rider's torso, which can be problematic. Standard – the rider sits upright or leans forward slightly. The feet are below the rider. These are motorcycles that are not specialized to one task, so they do not excel in any particular area. The standard posture is used with touring and commuting as well as dirt and dual-sport bikes and may offer advantages for beginners. Cruiser – the rider sits at a lower seat height with the upper torso upright or leaning slightly rearward. Legs are extended forwards, sometimes out of reach of the regular controls on cruiser pegs. The low seat height can be a consideration for new or short riders. Handlebars tend to be high and wide. The emphasis is on comfort while compromising cornering ability because of low ground clearance and the greater likelihood of scraping foot pegs, floor boards, or other parts if turns are taken at the speeds other motorcycles can more readily accomplish. Factors of a motorcycle's ergonomic geometry that determine the seating posture include the height, angle, and location of footpegs, seats, and handlebars. Factors in a rider's physical geometry that contribute to seating posture include torso, arm, thigh, and leg length, and overall rider height. Legal definitions and restrictions A motorcycle is broadly defined by law in most countries for the purposes of registration, taxation, and rider licensing as a powered two-wheel motor vehicle. Most countries distinguish between mopeds of 49 cc and the more powerful, larger vehicles. Many jurisdictions include some forms of three-wheeled cars such as motorcycles.
In Nigeria, motorcycles, popularly referred to as Okada has been the subject of many controversies with regard to safety and security followed by restrictions of movement in many states. Recently, it was banned in Lagos - Nigeria's most populous city. Environmental impact Motorcycles and scooters' low fuel consumption has attracted interest in the United States from environmentalists and those affected by increased fuel prices. Piaggio Group Americas supported this interest with the launch of a "Vespanomics" website and platform, claiming lower per-mile carbon emissions of 0.4 lb/mile less than the average car, a 65% reduction, and better fuel economy. However, a motorcycle's exhaust emissions may contain 10–20 times more oxides of nitrogen, carbon monoxide, and unburned hydrocarbons than exhaust from a similar-year passenger car or SUV. This is because many motorcycles lack a catalytic converter, and the emission standard is much more permissive for motorcycles than for other vehicles. the average certified emissions level for 12,327 vehicles tested was 0.734. The average "Nox+Co End-Of-Useful-Life-Emissions" for 3,863 motorcycles tested was 0.8531. 54% of the tested 2007-model motorcycles were equipped with a catalytic converter. United States emissions limit The following table shows the maximum acceptable legal emissions of the combination of hydrocarbons, oxides of nitrogen, and carbon monoxide for new motorcycles sold in the United States with 280 ccs or greater piston displacement. The maximum acceptable legal emissions of hydrocarbon and carbon monoxide for new Class I and II motorcycles sold in the United States are as follows: New motorcycles must meet Euro 5 standards, while cars must meet Euro 6D-temp standards. Motorcycle emission controls are being updated and it has been proposed to update to Euro 5+ in 2024.
Sunday, November 06, 2022
x̄ - > Project; Create a web page
Create a web page with a filename of pgmExplanation.html that explains something interesting about a program. Your explanation must make sense. You must use grammatically correct sentences that provide a reasonable flow through your web page. Creativity and aesthetics are part of web programming, and they are part of this assignment.
Follow these guidelines:
▸ Include at least one heading (h1, h2, etc.) on your web page.
▸ Display a code fragment from the program, or display the whole program, if appropriate. Feel free to create the program yourself or use a program that you find in a book or on the Internet.
▸ Refer to a specific variable in the program, specific input, and specific output.
▸ Provide a quote from a book that refers to the program or to a concept illustrated by the program, and provide a citation for the book’s title. Feel free to use a real quote from a real book or make up a fictional quote from a fictional book.
▸ Provide an acronym (real or made up) or a definition that somehow relates to the web page’s discussion.
▸ Include a total of at least 10 different types of phrasing elements on your web page. You must use appropriate phrasing elements that fit the flow of your web page. You will lose points if any of your elements are inappropriate (e.g., using wbr in a normal-length word). For future projects, you will use CSS for formatting. But for practice purposes, for this project, use only HTML5 elements and not CSS.
Solution:
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="author" content="Zacharia Maganga">
<title>Carmine's Pizzeria</title>
</head>
<body>
<h1>Carmine's Pizzeria</h1>
<p>
Each of our pizzas has a volume of
π·<var>radius</var><sup>2</sup>·<var>height</var>.
If <var>radius</var> = <var>z</var> &
<var>height</var> = <var>a</var>, that means the volume spells
"Pi·z·z·a"!
</p>
<p>
==> <strong>Late night special:</strong> slice of cheese
⅓ off &1t;==
</p>
Who Invented Pizza?
</body>
</html>
Carmine's Pizzeria
Each of our pizzas has a volume of π·radius2·height. If radius = z & height = a, that means the volume spells "Pi·z·z·a"!
==> Late night special: slice of cheese ⅓ off &1t;==
Who Invented Pizza? Did you know pizza took the United States by storm before it became popular in its native Italy?
Saturday, November 05, 2022
x̄ - > Social change
Alteration of the social order of a society may include changes in social institutions, social behaviors, or social relations.
Definition
Social change may refer to the notion of social progress or sociocultural evolution, the philosophical idea that society moves forward by evolutionary means. It may refer to a paradigmatic change in the socio-economic structure, for instance, the transition from feudalism to capitalism, or a hypothetical future transition to some form of post-capitalism. Social development refers to how people develop social and emotional skills across their lifespan, with particular attention to childhood and adolescence. Healthy social development allows us to form positive relationships with family, friends, teachers, and other people in our lives. Accordingly, it may also refer to social revolution, such as the Socialist revolution presented in Marxism, or to other social movements, such as women's suffrage or the civil rights movement. Social change may be driven by cultural, religious, economic, scientific, or technological forces. Prominent theories Change comes from two sources. One source is random or unique factors such as climate, weather, or the presence of specific groups of people. Another source is systematic factors. For example, successful development generally has the same requirements, such as a stable and flexible government, enough free and available resources, and a diverse social organization of society. On the whole, social change is usually a combination of systematic factors along with some random or unique factors. Many theories attempt to explain social change.
One view suggests that a theory of change should include elements such as structural aspects of change, processes, and mechanisms of social change, and directions of change. Hegelian: The classic Hegelian dialectic model of change is based on the interaction of opposing forces. Starting from a point of momentary stasis, Thesis countered by Antithesis first yields conflict, then subsequently results in a new Synthesis. Marxist: Marxism presents a dialectical and materialist concept of history, seeing humankind's history as a fundamental "struggle between social classes". Kuhnian: The philosopher of science, Thomas Kuhn argues in The Structure of Scientific Revolutions with respect to the Copernican Revolution that people are likely to continue utilizing an apparently unworkable paradigm until a better paradigm is commonly accepted. A Kuhnian approach to the study of societies is provided by the critical juncture approach to social order and change. Heraclitan: The Greek philosopher Heraclitus used the metaphor of a river to speak of change thus: "On those stepping into rivers staying the same other and other waters flow". What Heraclitus seems to be suggesting here, later interpretations notwithstanding, is that, in order for the river to remain the river, change must constantly be taking place. Thus one may think of the Heraclitan model as parallel to that of a living organism, which, in order to remain alive, must constantly change. A contemporary application of this approach is shown in the social-change theory SEED-SCALE which builds off of the complexity theory subfield of emergence.
Daoist: The Chinese philosophical work Dao De Jing, I.8 and II.78 uses the metaphor of water as the ideal agent of change. Water, although soft and yielding, will eventually wear away stone. Change, in this model, is to be natural, harmonious, and steady, albeit imperceptible. Four Levels of Action: Will Grant of the Pachamama Alliance describes "Four Levels of Action" for change: # individual # friends and family # community and institutions # economy and policy Grant suggests that individuals can have the largest personal impact by focusing on levels 2 and 3. Types of change Social changes can vary according to speed and scope and impetus. Some research on the various types of social change focuses on social organizations such as corporations.
Different manifestations of change include: Fabian change - gradual and reformist incremental amelioration after the manner of the Fabian Society radical change - improvements root and branch in the style of political radicalism revolutionary change - abrupt, radical, and drastic change, with implications of violence and of starting afresh transformational change - a New-age version of radical change, and thus difficult to define continuous change, open-ended change - change for the sake of change top-down change - reliance on leadership bottom-up change - reliance on the huddled masses Current examples Global demographic shifts One of the most obvious changes currently occurring is the change in the relative global population distribution between countries. In recent decades, developing countries have become a larger proportion of the world population, increasing from 68% in 1950 to 82% in 2010, and the population of the developed countries has declined from 32% of the total world population in 1950 to 18% in 2010. China and India continue to be the largest countries, followed by the US as a distant third. However, population growth throughout the world is slowing. Population growth among developed countries has been slowing since the 1950s and is now at 0.3% annual growth. Population growth among the less developed countries excluding the least developed ones has also been slowing since 1960 and is now at 1.3% annually. Population growth among the least developed countries has slowed relatively little and is the highest at 2.7% annual growth. Gendered patterns of work and care In much of the developed world, changes from distinct men's work and women's work to more gender-equal patterns have been economically important since the mid-20th century. Both men and women are considered to be great contributors to social change worldwide.
x̄ - > Bloomberg BS Model - King James Rodriguez Brazil 2014
Bloomberg BS Model - King James Rodriguez Brazil 2014 🔊 Read ⏸ Pause ▶ Resume ⏹ Stop ⚽ The Silent Kin...
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Feature Engineering for Time-Series Data Introduction Feature engineering is cruc...
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Tokenization and Embedding: Worked Example Tokenization and embedding are key steps in processing input sequences for transformers. Here...




