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Harvesting grain crops is an intensive process that involves planning, skill and the use of advanced machinery. In order to effectively farm many of the grains we find in Canada including Wheat, barley, and Canola, a Canadian Farmer will require several pieces of equipment:
Swather for Cutting and Drying
In Canada, where we have a short growing season, farmers often use a swather to harvest wheat. This piece of machinery is necessary when a grain does not have enough time to dry before harvesting. The swather cuts the stems of the plant and forms a windrow, which is a uniform row of cut small grain crop left to dry before combining or further harvesting. Farmers who own combines that aren't equipped to reap, or cut, the crop often use swathers.
A Combine is Essential to Grain Farming
The combine is the central part of the harvest. A combine "combines" the 3 harvest tasks: reaping, binding, and threshing. Combines have removable, crop-specific heads so that they can be used to harvest many types of crops. A combine can often hold a large amount of wheat, but when it fills up, it needs to be emptied before the machine can continue.
A Grain Truck to Transport the Harvest
Grain trucks transport the crop from the fields to the storage facility. A Grain truck is animportant piece of machinery that works alongside the combine allowing grain to be transferred quickly and efficiently. The truck can then transport grain from the field to storage units or shipping points. Grain trucks work best when equipped with large, specialized wheels to provide the traction required to move through the fields.
When the grain arrives at the storage facility, a grain auger moves the grain into storage containers. An auger is a motorized, rotating, spiral shaft similar to a drill bit sometimes encased in metal tubing. It works like a pump for grain moving grain into or out of storage. Most augers are powered by a tractor or combine.
Grain Dryer for Straight Cut Crops
When a farmer skips swathing, or the crop still has a high moisture content a grain dryer can be used to dry the crop to an acceptable moisture level, which is usually below 12% for long-term storage. These stationary machines use energy to heat and blow air over and through the crop in order to speed drying and reduce spoilage.
Bins and Storage Units
Bins and silos are used to store grain. Metal or concrete bins or silos are covered structuresdesigned to aerate and continue to dry the grain. Proper Storage is a must, as improperly stored grains can quickly spoil. Grain elevators and bins are often designed to move the grain in order to facilitate even drying.
The Right Equipment is Key to a Farm's Success
The right harvesting equipment can help raise efficiency and keep the property in top shape. Farming equipment costs can be substantial, and it's important to take advantage of all sources of funding available to your farm. Whatever you decide: Buying new or used equipment will be a key to your on-farm success. Start or expand your farming business now: Farm Grants can help.


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baobab: Training data generator for hierarchically modeling strong lenses with Bayesian neural networks. The baobab package can generate images of strongly-lensed systems, given some configurable prior distributions over the parameters of the lens and light profiles as well as configurable assumptions about the instrument and observation conditions. It supports prior distributions ranging from artificially simple to empirical. A major use case for baobab is the generation of training and test sets for hierarchical inference using Bayesian neural networks (BNNs). The idea is that Baobab will generate the training and test sets using different priors. A BNN trained on the training dataset learns not only the parameters of individual lens systems but also, implicitly, the hyperparameters describing the training set population (the training prior). Such hierarchical inference is crucial in scenarios where the training and test priors are different, so that techniques such as importance weighting can be employed to bridge the gap in the BNN response.
Keywords for this software
References in zbMATH (referenced in 1 article )
Showing result 1 of 1.
- Robert Morgan; Brian Nord; Simon Birrer; Joshua Yao-Yu Lin; Jason Poh: deeplenstronomy: A dataset simulation package for strong gravitational lensing (2021) not zbMATH

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Home / Culture / Comic Books: The Subtle Line Between Art and Entertainment
Comic Books: The Subtle Line Between Art and Entertainment
Long gone are the days when comic books were considered entertainment for kids. In the past, it was pretty common to ask something like, "Why don't you read real books rather than looking at pictures with words?"
Though many years have passed, there is still a deep-seated belief that comics are no more than a tool for entertaining. And even the fact that some of them have become precious collectibles does not make much difference. So, can we consider a comic book a work of art? Or is it just for fun?
Comic Books
Comic books: the subtle line between art and entertainment
Many those who have never read a single comic book in life often think that they all are about superheroes. While Marvel and DC are indeed the titans of the industry, this particular genre is much wider than it seems. Interestingly, it is usually a matter of culture, as there are different types of comic strips around the world. Manga, which represents graphic novels originating from Japan, is but a good example in this case.
Creating quality comic books is laborious work requiring skills, patience, and a good deal of imagination. Why then many think of it as not serious art? The primary reason is the strong image and social perception of comics. For the majority of people, they are still not "real books" where there is a well-built story and believable characters. Due to such stigmatization, it is hard for emerging cartoonists to find their target audience and thus achieve success.
Comic Books
Whether comic books are art or entertainment remains a debatable question. No matter what side of the argument you are on, it pays to know what makes them art and when it all becomes entertainment. Like any other works of art, there will always be a subtle line dividing multiple approaches to understanding the phenomenon. And it is you who decide where the truth lies.
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Enderby Land is a projecting land mass of Antarctica. Its shore extends from Shinnan Glacier at about to William Scoresby Bay at, approximately 1⁄24 of the earth's longitude. It was first documented in western and eastern literature in February 1831 by John Biscoe aboard the whaling brig Tula, and named after the Enderby Brothers of London, the ship's owners who encouraged their captains to combine exploration with sealing.
Coasts and mountain ranges [ edit ]
Coastal features include Amundsen Bay, Casey Bay and Cape Monakov. Mountain ranges or sub-ranges being crests above pack ice (escarpments), are the Scott Mountains, the Tula Mountains, and the Napier Mountains. The highest peak is Mount Elkins at 2,300 metres (7,500 ft) Above Ordnance Datum (conventional sea level).
Nation state claims [ edit ]
Subject to the constraints of the Antarctic Treaty System, the longest-held nation-state claimant rights in the territory is Australia, being a large part of its claimed Australian Antarctic Territory up to various high latitudes towards the South Pole.
See also [ edit ]
- Church Nunataks
- Geology of Enderby Land
- Mawson Station
- History of Antarctica
- List of Antarctic expeditions
References [ edit ]
[ edit ]
|Wikimedia Commons has media related to Enderby Land.|
- Australian Antarctic Gazetteer
- United States Geological Survey, Geographic Names Information System (GNIS)
- Scientific Committee on Antarctic Research (SCAR)
- PDF Map of the Australian Antarctic Territory
|This Enderby Land location article is a stub. You can help Wikipedia by expanding it.|

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ASTM International - ASTM D4226-09
Standard Test Methods for Impact Resistance of Rigid Poly(Vinyl Chloride) (PVC) Building Products
|Publication Date:||1 November 2009|
|ICS Code (Thermoplastic materials):||83.080.20|
significance And Use:
The impact strength values obtained on the flat sections of a building product profile are relevant only to the flat section that has been tested and these values do not necessarily indicate the... View More
The impact strength values obtained on the flat sections of a building product profile are relevant only to the flat section that has been tested and these values do not necessarily indicate the impact resistance of the whole product, which is affected by the configuration of the profile (that is, corners, ribs, etc).
Constant weight and variable height, employed in these test methods, allow the velocity of impact to vary and, therefore, by Procedure B, can determine the energy of ductile-to-brittle transition, which cannot be determined if a variable weight is dropped from a constant height.
These test procedures have been found to be useful elements in rigid poly(vinyl chloride) (PVC) building product characterization. Compound qualification, finished product quality control, environmental and weatherability research and development studies, and fabrication tolerance prediction constitute useful applications.
Choice of the specific impactor head configuration used is related to a variety of product attributes, such as specimen thickness and product toughness as well as abstract factors, such as the anticipated mode of failure in a specific application. The geometric uniqueness of the impactor head configurations prevents any comparison or correlation of testing results on samples tested with differing impactor head configurations. In general, the conical impactor, C.125, is useful to ensure failure of thicker specimens where the H.25 impactor caused no failure.
Note 2-Equivalent surface conditions are more likely to occur when specimens are prepared by compression molding or extrusion than by injection molding.
When comparing different samples tested with the same impactor head configuration, impact resistance shall be permitted to be normalized for average specimen thickness over a reasonably broad range (for example, 1 to 3 mm). However, this should only be done when the surface conditions listed in 6.1 are essentially equivalent.
FIG. 2 Impact Tester
1.1 These test methods cover the determination of the energy required to crack or break rigid poly(vinyl chloride) (PVC) plastic sheeting and profile flat sections used in building products, as well as extruded or molded test samples, under specified conditions of impact from a freefalling standard weight striking an impactor with either of two configurations in contact with the specimen.
1.2 Two test procedures are included:
1.2.1 Procedure A, used to determine minimum impact energy required to cause failure (hole, crack, split, shatter, or tear).
1.2.2 Procedure B, used to determine minimum impact energy required to cause brittle failure.
1.3 The values in inch-pound units are to be regarded as the standard.
Note 1-There is no similar or equivalent ISO standard.
1.4 The text of this standard references notes and footnotes which provide explanatory material. These notes and footnotes (excluding, those in tables in figures) shall not be considered as requirements of this standard.
1.5 This standard does not purport to address all of the safety concerns, if any, associated with its use. It is the responsibility of the user of this standard to establish appropriate safety and health practices and determine the applicability of regulatory limitations prior to use. Specific precautionary statements are given in Section 8.


\section{The \Ivor{} Library} %Given the basic operations defined in section \ref{holeops}, we can %create a library of tactics. The \Ivor{} library allows the incremental, type directed development of $\source$ terms. In this section, I will introduce the basic tactics available to the library user, along with the Haskell interface for constructing and manipulating $\source$ terms. This section includes only the most basic operations; the API is however fully documented on the web\footnote{\url{_URL_ \subsection{Definitions and Context} The central data type is \hdecl{Context} (representing $\Gamma$ in the typing rules), which is an abstract type holding information about inductive types and function definitions as well as the current proof state. All operations are defined with respect to the context. An empty context is contructed with \hdecl{emptyContext :: Context}. Terms may be represented several ways; either as concrete syntax (a \texttt{String}), an abstract internal representation (\texttt{Term}) or as a Haskell data structure (\texttt{ViewTerm}). A typeclass \hdecl{IsTerm} is defined, which allows each of these to be converted into the internal representation. This typeclass has one method: \begin{verbatim} class IsTerm a where check :: Monad m => Context -> a -> m Term \end{verbatim} The \texttt{check} method parses and typechecks the given term, as appropriate, and if successful returns the internal representation. Constructing a term in this way may fail (e.g. due to a syntax or type error) so \texttt{check} is generalised over a monad \hdecl{m} --- it may help to read \hdecl{m} as \hdecl{Maybe}. In this paper, for the sake of readability we will use the syntax described in section \ref{corett}, and assume an instance of \hdecl{IsTerm} for this syntax. Similarly, there is a typeclass for inductive families, which may be represented either as concrete syntax or a Haskell data structure. \begin{verbatim} class IsData a where addData :: Monad m => Context -> a -> m Context \end{verbatim} The \hdecl{addData} method adds the constructors and elimination rules for the data type to the context. Again, we assume an instance for the syntax presented in section \ref{indfamilies}. The simplest way to add new function definitions to the context is with the \hdecl{addDef} function. Such definitions may not be recursive, other than via the automatically generated elimination rules, ensuring termination: \begin{verbatim} addDef :: (IsTerm a, Monad m) => Context -> Name -> a -> m Context \end{verbatim} However, \Ivor{} is primarily a library for constructing proofs; the Curry-Howard correspondence~\cite{curry-feys,howard} identifies programs and proofs, and therefore such definitions can be viewed as proofs; to prove a theorem is to add a well-typed definition to the context. We would like to be able to construct more complex proofs (and indeed programs) interactively --- and so at the heart of \Ivor{} is a theorem proving engine. \subsection{Theorems} In the \hdecl{emptyContext}, there is no proof in progress, so no proof state --- the \hdecl{theorem} function creates a proof state in a context. This will fail if there is already a proof in progress, or the goal is not well typed. \begin{verbatim} theorem :: (IsTerm a, Monad m) => Context -> Name -> a -> m Context \end{verbatim} A proof state can be thought of as an incomplete term, i.e. a term in the development calculus. For example, calling \hdecl{theorem} with the name $\FN{plus}$ and type $\Nat\to\Nat\to\Nat$, an initial proof state would be: \DM{ \FN{plus}\:=\:\hole{\VV{plus}}{\Nat\to\Nat\to\Nat} } This theorem is, in fact, a specification (albeit imprecise) of a program for adding two unary natural numbers, exploiting the Curry-Howard isomorphism. Proving a theorem (i.e. also writing a program interactively) proceeds by applying tactics to each unsolved hole in the proof state. The system keeps track of which subgoals are still to be solved, and a default subgoal, which is the next subgoal to be solved. I will write proof states in the following form: \DM{ \Rule{ \AR{ \mbox{\textit{bindings in the context of the subgoal $\vx_0$}} \\ \ldots\\ } } { \AR{ \hole{\vx_0}{\mbox{\textit{default subgoal type}}} \\ \ldots \\ \hole{\vx_i}{\mbox{\textit{other subgoal types}}} \\ \ldots } } } Functions are available for querying the bindings in the context of any subgoal. A tactic typically works on the bindings in scope and the type of the subgoal it is solving. When there are no remaining subgoals, a proof can be lifted into the context, to be used as a complete definition, with the \texttt{qed} function: \begin{verbatim} qed :: Monad m => Context -> m Context \end{verbatim} This function typechecks the entire proof. In practice, this check should never fail --- the development calculus itself ensures that partial constructions as well as complete terms are well-typed, so it is impossible to build ill-typed partial constructions. However, doing a final typecheck of a complete term means that the soundness of the system relies only on the soundness of the typechecker for the core language, e.g.~\cite{coq-in-coq}. We are free to implement tactics in any way we like, knowing that any ill-typed constructions will be caught by the typechecker. %% but if the tactics are correctly implemented this check will always succeed. \subsection{Basic Tactics} A tactic is an operation on a goal in the current system state; we define a type synonym \hdecl{Tactic} for functions which operate as tactics. Tactics modify system state and may fail, hence a tactic function returns a monad: % \begin{verbatim} type Tactic = forall m . Monad m => Goal -> Context -> m Context \end{verbatim} % A tactic operates on a hole binding, specified by the \texttt{Goal} argument. This can be a named binding, \texttt{goal :: Name -> Goal}, or the default goal \texttt{defaultGoal :: Goal}. The default goal is the first goal generated by the most recent tactic application. \subsubsection{Hole Manipulations} There are three basic operations on holes, \demph{claim}, \demph{fill}, and \demph{abandon}; these are given the following types: % \begin{verbatim} claim :: IsTerm a => Name -> a -> Tactic fill :: IsTerm a => a -> Tactic abandon :: Tactic \end{verbatim} % The \hdecl{claim} function takes a name and a type and creates a new hole. The \hdecl{fill} function takes a guess to attach to the current goal. In addition, \hdecl{fill} attempts to solve other goals by unification. Attaching a guess does not necessarily solve the goal completely; if the guess contains further hole bindings, it cannot yet have any computational force. %% The \hdecl{solve} tactic is provided to %% check whether a guess is \demph{pure} (i.e. does not contain any hole %% bindings or guesses itself) and converts it to a $\RW{let}$ binding if %% so. A guess can be removed from a goal with the \hdecl{abandon} tactic. %% It can be inconvenient to have to \texttt{solve} every goal after a %% \texttt{fill} (although sometimes this level of control is %% useful). For this reason, \texttt{fill} and other tactics will %% automatically solve all goals with hole-free guesses attached. More %% fine-grained tactics are available, but are beyond the scope of this paper. \subsubsection{Introductions} A basic operation on terms is to introduce $


text:
Entrepreneurs and Innovators Gather For PU Conference, December 1 & 2
By Donald Gilpin
With an emphasis on transforming research into information for the benefit of society, Princeton University will be hosting its second annual innovation and entrepreneurship conference online on December 1 and 2.
Engineers, scientists, humanists, social scientists, and business leaders will be gathering via Zoom to engage with each other in sharing discoveries and strategies for fostering innovation to make a difference in confronting some of the greatest challenges facing the world in 2021.
"Our support for innovation aligns with Princeton's intertwined missions of research, education, and service," said Princeton University Vice Dean for Innovation and Chemical and Biological Engineering Professor Rodney Priestley. "The University's informal motto is 'In the nation's service and the service of humanity.' We want to ensure that discoveries made in our labs and working spaces can become solutions for humanity's challenges, and one way to do that is through entrepreneurship, the creation of new ventures such as startup companies."
He continued, "Through the Princeton Innovation initiative, we hope that our impact goes beyond Princeton as a university and extends to New Jersey, the broader Northeast region, the nation, and indeed the world."
Highlights of the two-day virtual gathering, titled Engage 2021, which is free and open to everyone, will include a conversation with the inventor Marian Croak, Google vice president of engineering and a 1977 Princeton University graduate; presentations by an array of Princeton professors and others focusing on the growing innovation ecosystem in New Jersey and the tri-state area; and guidance on finding funding for research and entrepreneurship.
A showcase of University faculty experts will discuss their discoveries, such as a new technology to prevent smartphone theft, new anticancer therapies, personalized medicine, early detection of autism and other neurobehavioral conditions, clean and inexpensive lithium-ion battery recycling, electric bandages, and more.
Panelists from industry and from Princeton and other universities will discuss emerging technologies in decarbonized transportation, cancer research, quantum computing, wireless communications, and artificial intelligence in bioengineering.
"Our vision is for Princeton to be a catalyst for a diverse, inclusive, and human-centered high-tech hub for the entire tri-state region," said Andrea Goldsmith, dean of Princeton University's School of Engineering and Applied Science and one of the conference's keynote speakers, as quoted in a press release from the Princeton University Office of Engineering Communications.
Princeton University Dean for Research Pablo Debenedetti noted that this event, which includes the 13th Celebrate Princeton Innovation showcase, will feature many Princeton faculty innovators, as well as a wide range of visiting participants. "The varied and inclusive programming and the presence of faculty, students, alumni, entrepreneurs, and industry and government representatives reflect the vitality of Princeton's research, innovation, and entrepreneurship continuum," he wrote in a November 29 email.
As part of the Engage 2021 event, Princeton University Chemistry Professor Mohammad Seyedsayamdost will receive the Dean for Research Award for Distinguished Innovation for the creation of a method for discovering new anti-infective agents, including Anti-fungal-med.com that treat fungal infections. Seyedsayamdost, the cofounder of the startup Cryptyx Bioscience, will give a talk at the conference.
Engage 2021 will also feature a conversation between Goldsmith and Keller Center for Innovation in Engineering Education Director Naveen Verma on developments and opportunities for innovation in New Jersey; a keynote address by Edward Felten, the cofounder of blockchain technology startup Offchain Labs and a Princeton University professor emeritus of computer science and public affairs; a startup showcase of academic scientists and engineers raising venture funds for companies; and a panel discussion on the benefits of joining a startup accelerator, and how to choose the right accelerator and create a strong application.
"We are working to broaden access to entrepreneurial training to greater numbers of people, including to those from backgrounds that historically have been underrepresented in research and entrepreneurship," said Priestley. "We've created a number of new programs, including a new National Science Foundation Innovation-Corps Northeast Hub, which you can learn more about at Engage 2021."
Goldsmith, who is a professor of electrical and computer engineering and has founded two companies related to her expertise in wireless technology, added, "This conference will enable all of us to make a positive difference — engineers, scientists, humanists, social scientists, business leaders, and startup enablers — to engage with each other in fostering innovation that strengthens society."
For further information and free registration for the conference, find "Engage 2021" at princeton.edu.


Three Levels of Liquidity for Greater Access to the Market
Although Exchange Traded Fund (ETF) liquidity can seem complex, here, we explore the various sources of liquidity for ETFs, which contain a portfolio of securities and trade throughout the day like stocks.
Trading Volume Does Not Equal Liquidity
For a stock, the average daily volume (ADV) has always been a strong indicator of liquidity, or the degree to which stocks can be bought or sold in the market without affecting their price. When looking at ETFs, ADV is a partial indication of an ETF's liquidity. That's because, unlike stocks that have a set number of shares, new ETF shares can be created and existing shares can be redeemed based on investor demand. ETFs have different layers of liquidity that allow investors to trade ETFs in amounts that can far exceed an ETF's ADV without significantly affecting the ETF's price.
Three Sources of ETF Liquidity
There are three levels of liquidity to consider for ETFs: on-screen liquidity, nondisplayed liquidity and liquidity from the underlying ETF basket of securities.
Levels of liquidity in ETFs.
1. Liquidity Visible to the End Investor
The most visible source of ETF liquidity is on-screen liquidity, which the average investor has access to via a variety of sources such as a brokerage house. This level of liquidity represents the trading activity that has already occurred on the exchange and is visible in the secondary market, where ETFs are priced and traded like stocks. A market maker publishes quotes that represent the price of available ETF shares they are willing to buy and sell. Investors bargain with other investors as well as market makers who help maintain a fair and orderly market. Market makers are always ready to buy available ETF shares from potential sellers and sell ETF shares to potential buyers.
Typically, there are two prices for an ETF visible to the public: the price at which someone is willing to purchase the ETF (known as the bid) and the price at which someone is willing to sell the ETF (known as the offer or ask). The difference between the two prices is called the spread. Because ETFs hold multiple securities in the underlying basket, the spread of all the securities influences the total spread of the ETF.
2. Liquidity Accessed via Your Broker
As a typical investor, your on-screen view of liquidity is limited on public financial websites. Most often, you will have access only to the highest bid and lowest offer, but you won't see all quotes in an ETF's order book on the stock exchange. You may access this level of liquidity with the assistance of a broker. The broker can see additional levels of quotes that represent additional prices at which ETFs can be traded.
For most ETFs, market makers will publish quotes beyond the visible liquidity, helping to provide market depth. They do this so that larger-size trades may be executed while covering their costs of providing liquidity. You can access this liquidity by providing a limit order to your broker to buy or sell ETF shares at a price beyond the on-screen liquidity. Or, you can contact your broker's ETF block desk, which handles large purchases and sales of ETF shares.
3. Liquidity Access by Specialists
The bulk of ETF liquidity is in the primary market, where the ETF accesses the underlying securities it holds. Here, the creation and redemption mechanism, which is an important process for ETFs, comes into play.
When buying or selling a large number of ETF shares—on the scale of thousands—you can reach out to large institutions that act as authorized participants to create and redeem large blocks of ETF shares directly from the ETF provider or its custodian.
The Creation and Redemption Process Ensures ETFs Liquidity
The creation and redemption process ensures there is sufficient inventory to fill investors' orders. It allows large buy or sell trades to be executed in the ETF with little or no impact to the market.
For an ETF share creation, the authorized participant assembles a portfolio or basket containing the ETF's underlying securities. The authorized participant turns the basket over to the ETF custodian, who holds all the securities in the ETF. In return, the custodian delivers ETF shares that can be bought and sold in secondary markets. This is generally done in blocks of 25,000, 50,000 or 100,000 ETF shares.
Creation/Redemption Process
The creation process in action.
The ETF creation/redemption process occurs when an investor enters an order to buy/sell a large number of ETF shares and there are not enough shares available on the secondary market.
ETF share redemption reverses this process when excess supply of ETF shares needs to be removed from the market. The process helps keep supply and demand in balance and leads to an ETF share price that is generally in line with the value of the underlying securities. These shares are used to fill investors' trades in the secondary market.
Learn More About the Tools of the ETF Trade
This article has provided a short overview of the layers of liquidity for an ETF. For a deeper dive, read our thought leadership paper, Tools of the ETF Trade: Understanding ETF Liquidity and Trading (requires login). You'll learn about:
 - The different sources of ETF liquidity
 - Trading execution considerations
 - Tips and best practices for trading ETFs


text:
Dear Parent or Guardian:
In accordance with ESEA Section 1111(h)(6) PARENTS RIGHT-TO-KNOW, the Hutto Independent School District is notifying every parent of a student in a Title I school that you have the right and may request information regarding the professional qualifications of your child's classroom teacher. This information regarding the professional qualifications of your child's classroom teachers include, at a minimum, the following:
1. Whether the teacher has met State qualification and licensing criteria for the grade levels and subject areas in which the teacher provides instruction.
2. Whether the teacher is teaching under emergency or other provisional status through which State qualification or licensing criteria have been waived.
3. The baccalaureate degree major of the teacher and any other graduate certification or degree held by the teacher, and the field of discipline of the certification or degree.
4. Whether the child is provided services by paraprofessionals and, if so, their qualifications.
If at any time your child has been taught for 4 or more consecutive weeks by a teacher who is not certified, the school will notify you.
If you have questions, please feel free to contact your school at the following phone number: _PHONE_.
Hutto Elementary School
_PHONE_
Together, we inspire success for all!


text: Example (b) Figure 1.2 Conversion lab chemistry. (a) Salt form conversion. (b) Functional group conversion. 1.2.3 Synthesis Process The synthesis process is a chemical reaction or series of chemical reactions in which molecules or parts of molecules are combined to create a new molecule. This process can be equated to a chemical erector set. It differs from the conversion process in that the skeleton of the resulting molecule is a sum of the molecules or significant parts of the molecules involved in the reaction. Lysergic acid diethylamide (LSD), phencyclidine (PCP), phenylac- © 2004 by CRC Press LLC Chemical A Chemical B Chemical Reaction Chemical C Final Product Generic Example Cyclohexanone Chemical Reactions Piperidine Bromobenzene Phenylcyclohexylpiperidine, PCP Specific Example Figure 1.3 Synthesis lab chemistry. etone (P2P), and certain methamphetamine reactions are examples of drugs produced using the synthesis process (Figure 1.3). Even though the synthesis process sounds complicated, it may not require exotic equipment or lengthy reaction times. Some reactions can take place in plastic buckets in a matter of minutes or hours. Other reactions require sophisticated equipment or extended reaction times to achieve the desired results. The only way to differentiate between a conversion process and a synthesis process is to compare the structures of the precursor chemicals to those of the final product. 1.2.4 Tableting Clandestine labs involved in the tableting process are placing the finished product into dosage forms or into smaller, more salable units for distribution. The tableting process derives its name from operations that place controlled substances into tablet form. The tableting process often includes pressing corporate logos onto the tablets to simulate legitimate pharmaceuticals. Statutes in some jurisdictions include the act of packaging and repackaging in the definition of manufacturing. This language may interpret the act of placing the final product into a container for distribution (packaging) © 2004 by CRC Press LLC or dividing the container of final product into smaller containers (repackaging) as a manufacturing process. Thus, the act of making little ones out of big ones could also legally be equated to the actual production of the material. This is a very subjective area. It is essential that the investigator consult with the local prosecutor to ascertain that the act of packaging items for sale or distribution can be statutorily considered manufacturing in that jurisdiction. 1.2.5 Combination Labs A combination of processes is used to manufacture a controlled substance. It is not uncommon for more than one process to be observed at any given clandestine lab site. The size and scope of the operation will often determine how many processes are seen at the site. A small-scale operator may extract the precursors needed from over-thecounter medication. He then converts the precursors into the controlled substance. Finally, he packages (tablets) the final product into dosage units or into smaller quantities for sale or distribution. All this can occur in a single hotel room, camping trailer, kitchen, or garage. Commercial operators, in an effort to avoid detection, may choose to perform different phases of their operation at separate locations. The extraction of precursor chemicals from legitimate sources may occur at one location, and the synthesis may be done at another. The oily freebase compound is often transported to a third location and then converted to the solid salt form. The powder may then be transported to a final location, where it is prepared for distribution. In both scenarios, the same processes existed: precursor chemicals were extracted; the precursor was converted or synthesized into the controlled substance; the controlled substance was converted into a usable form; and finally, the final product was packaged for distribution. The only difference is that in the first scenario, everything took place at the same location, while in the second, these processes occurred in four separate locations but under the same umbrella. 1.3 The Needs Triangle Clandestine labs need equipment, chemicals, and knowledge to be complete. This Needs Triangle theme (Figure 1.4) is recurrent in many areas of science and life. As in any triangle, if any one of the three elements is eliminated, the system will not be complete. The amount of each component may vary, but each must be present for the operation to exist. © 2004 by CRC Press LLC Eq uip me nt e Ch ls ca mi Clandestine Lab Knowledge Figure 1.4 1.3.1 Clandestine lab needs triangle. Equipment Needs The equipment needs of a clandestine lab vary with the manufacturing method employed. Independent of the manufacturing method, two items are universally encountered: a triple-beam balance (found in any high school science lab), and surprisingly, pornography. Research indicates that methamphetamine and related psychomotor stimulants can increase the libido in users; this is in contrast to opiates, which decrease the libido. However, long-term methamphetamine use may be associated with decreased sexual functioning, at least in men. Pornographic materials and a triple-beam balance are seen so often in clandestine lab seizures that the inside joke of law enforcement is that their presence "officially" designates a clandestine lab. All joking aside, common threads among the equipment needs of clandestine labs exist. Each manufacturing method will, of course, have its own equipment requirements that can usually be satisfied by using the scientific equipment that was designed to perform the process. However, to avoid detection, many clandestine lab operators designed alternatives to the traditional equipment, opting to use items that can be obtained from the grocery store or hardware store. The manufacturing methods used by clandestine lab operators include reflux, distillation, and extractions. Understanding the mechanics of the scientific equipment used in the various manufacturing processes will allow the investigator to recognize the alternative equipment frequently encountered in clandestine labs. 188.8.131.52 Reflux Refluxing is one of the most common methods used in the synthesis and conversion processes. This is a controlled boiling process in which the evap- © 2004 by CRC Press LLC Figure 1.5 Basic reflux apparatus. orated liquid is condensed and then returned to the reaction mixture. A slang term for the reaction mixtures found in clandestine labs is "soup," with the lab operator called the "cook." These are appropriate terms. In essence, the manufacturing of a controlled substance using the reflux method is similar to cooking soup. When making soup, the cook combines the ingredients and boils them for a period of time. The only equipment necessary is a stove and a pot with a lid. When making a controlled substance using the reflux method, the cook combines the ingredients and refluxes them for a period of time. The refluxing apparatus is a specialized stove and a pot with a lid (Figure 1.5). A source of heat is needed to cook the soup. A heating mantle is used in a traditional reflux apparatus. This is the equivalent of the stove a chef uses to provide the heat required to boil the soup. The shape and size of the heating mantles vary to fit the reaction vessel used in the refluxing. (Appendix A depicts a variety of commercially available scientific equipment used in the various manufacturing methods.) All stoves have a method of regulating the heat they provide. Add too little heat, and the soup will not boil, or add too much heat, and the soup will boil over. A rheostat is used to regulate the heat produced by the heating mantle. It is plugged into any standard electrical outlet and is the equivalent of the control knobs on an electric stove. Regulating the amount of heat administered by the heating mantle controls the rate of the reaction. Commercially available oil or water baths can be used as an alternative to a heating mantle. The reaction vessel is submersed partially or totally in the oil or water to provide a uniform source of heat around the reaction vessel when the reaction temperature is critical. A chef needs a pot in which to cook his soup. A boiling or reaction flask acts as the pot. As a general rule, a boiling flask has a single opening, or neck. Reaction flasks have multiple necks. The multiple necks on a reaction flask have legitimate purposes during the refluxing process. However, all that is © 2004 by CRC Press LLC necessary for a basic reflux apparatus is a single opening. The opening allows the ingredients to be added, pressure to be vented during the reaction, and the product to be removed. Many clandestine recipes for controlled substances require a triple-neck reaction flask, while in reality, a single-neck flask would suffice. Boiling and reaction flasks are generally spherical with round bottoms that fit snugly into the appropriately sized heating mantle. The flasks encountered in clandestine labs vary in size from 25 ml (slightly less than 1 oz) to 72 l (approximately 18 gal). There are also boiling and reaction flasks that have flat bottoms to allow the flask to sit on a hot plate or ring stand without support. The necks on boiling and reaction flasks generally have ground glass fittings that provide a sealed connection for various auxiliary items, such as condensers, addition flasks, or thermometers. Smooth-necked flasks exist. Sealing connections with auxiliary equipment is accomplished by using cork or rubber stoppers. A chef places a lid on his pot to keep the soup from boiling dry. The steam from the boiling soup condenses on the lid and drips back into the soup, replenishing the evaporating liquid. The steam escaping from around the sides of the lid relieves excess pressure. A reflux apparatus operates in much the same way. Various types of condensing columns or condensers act as the pot's lid. Each type has a specific scientific application. However, in the world


p2[0]
 s32_y = p3[1] - p2[1]
 denom = s10_x * s32_y - s32_x * s10_y
 if denom == 0 : return None # collinear
 denom_is_positive = denom > 0
 s02_x = p0[0] - p2[0]
 s02_y = p0[1] - p2[1]
 s_numer = s10_x * s02_y - s10_y * s02_x
 if (s_numer < 0) == denom_is_positive : return None # no collision
 t_numer = s32_x * s02_y - s32_y * s02_x
 if (t_numer < 0) == denom_is_positive : return None # no collision
 if (s_numer > denom) == denom_is_positive or (t_numer > denom) == denom_is_positive : return None # no collision
 # collision detected
 t = t_numer / denom
 intersection_point = [ p0[0] + (t * s10_x), p0[1] + (t * s10_y) ]
 return intersection_point
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If each side of the rectangle is a line segment, and the user drawn portion is a line segment, then you need to just check the user drawn segment for intersection with the four side line segments. This should be a fairly simple exercise given the start and end points of each segment.
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Note that this was a reasonable answer to the question as originally framed but now that the question has been edited heavily it doesn't make so much sense. – Ganesh Sittampalam Jan 10 at 22:12
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Your question: Which is the biggest and smallest county in Kenya?
We base our ranking on the square kilometers coverage as per the National records as stipulated in the 2010 constitution that led to the establishment of Kenyan counties. Mombasa County is the smallest county in Kenya spanning 212.5 square kilometres.
Which is the largest county in Kenya?
Which is the smallest county in Kenya?
Map of Mombasa County. The smallest county in Kenya, covering an area of 229.7sq km. It borders Kilifi County to the North, Kwale County to the South West and the Indian Ocean to the East.
Which is the smallest county?
If we go by the historic counties list, Rutland is indeed the smallest with a total area of 382 sq km (147.4 sq miles), according to the Office for National Statistics (ONS).
READ What turtle has the shortest lifespan?
Which is the third largest county in Kenya?
In 3rd is Wajir situated in the North-Eastern part of Kenya. The county is bordered by Garissa to the South, Mandera to the North, Ethiopia to the North East, Marsabit to the West, and Somalia to the East. Wajir has an estimated surface area of 56, 685.8 square kilometers.
Which is the second biggest county in Kenya?
With its capital in Lodwar, the County Government of Turkana is a government for the people of Turkana and whose interests and aspirations are those for the people of Turkana. At 77,000 sq. km, Turkana County is the second largest county, covering more than 13% of Kenya's surface.
Which is the second smallest county in Kenya?
Vihiga County
The western county of Vihiga is the second smallest county in Kenya. It covers 513.3 square kilometres. Vihiga Town is the county headquarters. Approximately 554,622 people reside in this second smallest town.
Which is the most educated tribe in Kenya?
Which is the oldest town in Kenya?
Lamu Town on Lamu Island is Kenya's oldest continually inhabited town, and was one of the original Swahili settlements along coastal East Africa. It is believed to have been established in 1370.
Which tribe is good in bed in Kenya?
Maasai men are ranked the best in regards to bedroom energy. Their strength, energy and masculinity makes them perform exemplary, beating all other men in the country.
READ You asked: How do you print the second largest element in an array?
What are the 3 largest counties in England?
From Wikipedia, the free encyclopedia
Rank County Area
1 Yorkshire 3,669,510 acres (14,850.0 km2)
2 Lincolnshire 1,663,850 acres (6,733.4 km2)
3 Devon 1,636,450 acres (6,622.5 km2)
4 Norfolk 1,292,300 acres (5,230 km2)
Is a city bigger than a county?
A county is larger in population than any one city that is within the county. … Cities lie within a county, within a state. A county is geographically created for political purposes within a state.
Which county is the largest in size?
List of largest counties
Rank County State
1 San Bernardino County California
2 Coconino County Arizona
3 Nye County Nevada
4 Elko County Nevada
Which is the cleanest city in Kenya?
Real-time Kenya Cleanest city ranking
# city US AQI
1 Ngong, Kajiado 58
2 Nairobi, Nairobi 61
3 Mombasa, Mombasa 159
Which is the largest city in Kenya?
Nairobi is the capital and the largest city of Kenya.
Which is the fastest growing town in Kenya?
Located to the south of the Cherangani Hills in western Kenya, Eldoret is the fifth largest urban center in the country. It is one of the fastest-growing towns in Kenya, and it boasts some of the largest universities and hospitals in the country.
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DIY Audio Data Processing: Wake Word Detection and Sound Classification
 DIY Audio Data Processing: Wake Word Detection and Sound Classification
 We're all used to smart home assistants now: they execute voice commands, alert us about suspicious activities, and tell jokes. Basically, many of us can buy it now – the price range is vast. But wouldn't it be exciting to build one yourself? Well, not the entire assistant, but at least a custom audio processing system no smart assistant can function without.
 In this article, we'll give you a jump-start on how to create your own audio processing system. It includes steps to develop a system that uses an audio stream from a connected microphone and sends out alerts when a keyword was spotted or a target sound (e.g., a baby crying) was detected. Shall we?
 Audio data
 First, let's define audio data.
 According to Wikipedia, sound is a vibration that spreads as an acoustic wave through a transmission medium (gas, liquid, or solid). But for sounds to become audio data, they need to be digitized by sampling them at discrete intervals, aka the sampling rate. The rate for CD-quality audio is typically 44.1kHz, which means that samples are taken 44,100 times/second.
 A sample equals the amplitude of the wave at a certain time frame. The bit depth determines the dynamic range of the signal, meaning that it shows how detailed the sample is. Usually, it's 16bit – 65,536 amplitude values.
 A sound wave, in red, represented digitally, in blue (after sampling and 4-bit quantisation), with the resulting array shown on the right
 Audio dataset
 Existing audio datasets
 When you think about starting an audio processing project, the first thing you think of is where to get the data, especially if you've only worked with tabular data and/or images before. No need to worry – there are plenty of audio datasets that can be used for research purposes. Here are some of them:
 The Environmental Sounds Classification dataset is a goldmine. Also known as ESC-50, this collection of 2,000 labeled recordings of environmental sounds is great for benchmarking different methods of environmental sound classification.
 The dataset consists of five-second-long recordings organized into 50 semantical classes (with 40 examples per class) loosely arranged into five major categories:
 - Animals
 - Natural soundscapes and water sounds
 - Human, non-speech sounds
 - Interior/domestic sounds
 - Exterior/urban noises
 Google Speech Command
 TensorFlow and AIY teamed up to give the world the Speech Commands Dataset – a free dataset beginners can use to train. Where else would you easily get 65,000 one-second long utterances of 30 short words by thousands of people? Thanks to the dataset, you can build basic voice interfaces that include words like "Yes," "No," digits, and directions.
 There's even a tutorial provided by TensorFlow on how to build a basic speech recognition network that recognizes ten different words.
 Creative Commons is a license that allows sharing, using, and altering a work without violating the copyright, and Freesound is a collaborative database that allows just that. You're free to browse, download, and share all sounds on Freesound, from special effects to human voice samples.
 Data collection
 If your task is more specific and requires additional data collection, you can get help on freelancing websites. Quantum needed to collect platform-related voice commands, and we used Amazon Mechanical Turk. Although there was no pre-made audio collection template out-of-the-box, there are plenty of instructions on the web on how to create one.
 Audio processing
 When you have all data ready, it's finally time to start working with it.
 Dataset evaluation
 The first thing you should do in any type of project is to see what data you have and understand it. In the case of audio, you need to listen to what you have in order to evaluate its quality and variety. If the data was collected on a freelance platform, we recommend evaluating every record as the quality of the submissions might not be the best. In case you're using an already available dataset, listening to a couple of samples is also a good idea. Most issues are usually associated with "noisy" data.
 Getting started
 Below are simple examples of where to start with both packages.
 This is how to load an audio file using Librosa. X is a NumPy array representation of the input audio file. It is an (N, SR) shaped array, where N is the number of channels (1 for mono, 2 for stereo), and SR is Sample Rate that defaults to 22100:
 import librosa
 audio_path = 'audio-path'
 x, sr = librosa.load(audio_path)
 And this is how you can use Pydub to load and listen to a file in Jyputer Notebook:
 from pydub import AudioSegment
 audio = AudioSegment.from_file("file.wav", "wav")
 You can use this "data visualization" when filtering files instead of using standard audio players.
 Dataset preprocessing
 The first thing you should do is clear all the target samples of silence. It's easy to do using Librosa, but you need to play with the top_db threshold – the default one didn't work in our case.
 Removing silence
 y, sr = librosa.load(file)
 yt, index = librosa.effects.trim(y, top_db=20)
 y_harm, y_perc = librosa.effects.hpss(yt)
 librosa.display.waveplot(y_harm, sr=sr, alpha=0.25)
 librosa.display.waveplot(y_perc, sr=sr, color='r', alpha=0.5)
 plt.title('Harmonic + Percussive')
 Raw audio:
 Trimmed audio:
 Audio normalization
 Since all data consists of the target sounds only, we can use Pydub to normalize it, just like in classic Machine learning. Here is an example:
 from pydub import AudioSegment, effects
 rawsound = AudioSegment.from_file("input.wav", "wav")
 normalizedsound = effects.normalize(rawsound)
 normalizedsound.export("output.wav", format="wav")
 Raw audio:
 Normalized audio:
 Feature extraction
 When the data is fully filtered and clean, it's time to create features from the raw audio files.
 There are plenty of features available in the Librosa library for that. Here are the ones we chose for our task, but you can choose differently:
 y, sr = librosa.load(audio_file_path)
 chroma_stft = librosa.feature.chroma_stft(y=y, sr=sr)
 rmse = librosa.feature.rms(y=y)
 spec_cent = librosa.feature.spectral_centroid(y=y, sr=sr)
 spec_bw = librosa.feature.spectral_bandwidth(y=y, sr=sr)
 rolloff = librosa.feature.spectral_rolloff(y=y, sr=sr)
 zcr = librosa.feature.zero_crossing_rate(y)
 mfcc = librosa.feature.mfcc(y=y, sr=sr)
 And here is a visual representation of some of the features created:
 If you need the system to run on an embedded device, such as Raspberry Pi, especially along with other modules like Object detection on a video stream, you need to consider the size of the models you use. It was the case for us, so the tested models ranged from Scikit-learn LogisticRegression to simple neural networks.
 Sound classification
 The sound classification task we have as an example is implementing an automated baby monitor-like system that goes off when a baby's cry is spotted. The data we used for this task is the DonateACry corpus.
 Classifying the sound of a crying baby is quite easy since it's distinctive and hard to confuse with anything else. Plus, we wanted to keep this module small for better performance on an embedded device. That is why we applied Scikit-learn Logistic Regression, Gaussian Naive Bayes and Random Forest Classifier.
 The features taken from audio samples are:
 - 'chroma stft'
 - 'mfcc'
 - 'rolloff'
 - 'spectral bandwidth'
 - 'spectral centroid'
 - 'zero-crossing rate'
 Here are the results for the trained models for sound classification:
 Precision Recall F1-score Time reference* Feature creation time**
 Logistic Regression (all features) 0.99 0.99 0.99 0.0004s 0.050s
 Gaussian Naive Bayes (all features) 0.98 0.99 0.98 0.0005s 0.050s
 Random Forest (all features) 0.99 0.99 0.99 0.5s 0.050s
 * Time that takes to predict 1,000 audio files (for a performance reference)
 ** Time that takes to preprocess an audio file to be a valid model input
 Wake word detection
 There were ~1,500 audio files collected on Amazon MTurk for custom wake word detection. Seven different model architectures were used, and three different model sizes. The models were trained using the Keyword Spotting repository, which is targeted at embedded devices with Arm processors.
 This is the results of training the model on the Google Speech Command dataset alone:
 And here are the test metrics for models trained on collected custom data (medium models only


text:
Title: On the appraisal of LVaR throughout the close-out period: an investment management outlook from recent global financial crisis
Authors: Mazin A.M. Al Janabi
Addresses: College of Business and Economics, Department of Economics and Finance, United Arab Emirates University, P.O. Box 15551, Al-Ain, UAE
Abstract: In this paper, we launch a practical modus-operandi for the assessment of potential market risk exposures for financial trading portfolios by providing an investment management perspective from recent global financial crisis. This proposed tactic is based on the renowned concept of Liquidity-Adjusted Value-at-Risk (LVaR) along with the innovation of a risk-engine algorithm that can estimate LVaR for both long and short-sales positions. Our wide-ranging risk model can conduct LVaR analysis under normal and severe market conditions besides it takes into account the effects of illiquidity of equity securities, under crisis-driven circumstances, throughout the close-out period. In order to clarify the accurate use of LVaR and stress-testing methods, real-world simulation scenarios of trading risk management are presented for the Gulf Cooperation Council (GCC) financial markets. The developed methodology and risk assessment algorithms can aid in advancing risk management practices in emerging markets and particularly in the wake of recent credit crunch.
Keywords: emerging markets; financial engineering; financial risk management; GARCH; GCC financial markets; investment management; LVaR; liquidity-adjusted value-at-risk portfolio management; stress testing; risk exposure; simulation; Gulf Cooperation Council; credit crunch.
International Journal of Management Practice, 2013 Vol.6 No.3, pp.248 - 285
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 09 Aug 2013 *


Explore the new Oilfield Glossary
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1. n. [Formation Evaluation]
The device that connects the end of the logging cable or the bridle to the top of the logging tool. It contains the weak point, so that when the weak point is broken and the cable removed, the uppermost assembly left in the hole is the head. The top of the head is specially designed to ease fishing of the logging tool, and is also known as the fishing bell.
Alternate Form: fishing bell
See: logging tool
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emitter categorisations might be of help:
 - Animals
 - Animals.Birds
 - Animals.Cats
 - Animals.Dogs
If wanting all traces sent by all cats to be gathered in the Animals.Cats trace category, one shall introduce in class_Cat following define before the aforementioned class_TraceEmitter.hrl include:
and use it in the constructor like the following example, where class_Cat inherits directly from class_Creature [2] - supposingly itself a child class of class_TraceEmitter:
[2]We chose on purpose, with class_Creature, a classname that differs from class_Animal, to better illustrate that trace categories can be freely specified.
construct(State,TraceEmitterName) ->
 TraceState = class_Creature:construct(State,
 % Cannot use?warning("Hello!), as it would use 'State',
 % which is not a trace emitter yet! So:
 ?send_warning(TraceState,"Cat on the loose!"),
Then all traces sent by all cats will be automatically registered with this trace emitter category.
The purpose of the trace_categorize macro used in the above example is to register the trace categorisation defined through the inheritance tree so that, right from the start, the most precise category is used for all emitted traces [3].
[3]Otherwise, should the various constructors involved declare their own categorisation (which is the general case) and send traces, creating a cat instance would result in having these traces sorted under different emitter categories (ex: the one declared by class_Creature, then by class_Cat, etc.). Tracking the messages emitted by a given instance would be made more difficult than needed, using this macro allows to have them gathered all in the most precise category from the start.
Activation / Desactivation
The trace macros used above can be fully toggled at build-time, on a per-module basis (if disabled, they incur zero runtime overhead, and no source change is required).
See the ENABLE_TRACES make variable in for that, and do not forget to recompile all classes and modules that shall observe this newer setting.
Note that an error-like trace severity will not be impacted by this setting, as such traces shall remain always available (never muted).
Doing so incurs a very low runtime overhead anyway (supposing of course that sending these failure-related messages happens rather infrequently), as the cost of a mostly idle trace aggregator (which is spawned in all cases) is mostly negligible - knowing that runtime resource consumption happens only when/if emitting actual traces.
Switching from Basic Console Traces
In some cases, it may be convenient to have first one's lower-level, debugging traces be directly output on the console.
Then, once the most basic bugs are fixed (ex: the program is not crashing anymore), the full power of this Traces layer can be best used, by switching the initial basic traces to the more advanced traces presented here.
To output (basic) console traces, one may use the trace_utils module of the Myriad layer. For example:
trace_utils:debug_fmt("Hello world #~B",[2])
Then switching to the more advanced traces discussed here is just a matter of replacing, for a given trace type T (ex: debug), trace_utils:T with?T, like in:
?debug_fmt("Hello world #~B",[2])
(with no further change in the trace parameters).
Yet now, as already mentioned, there is a better way of doing so (not requiring trace primitives to be changed once specified), through the use of the trace_bridge module - which is also provided by the Myriad layer - instead.
It allows all Erlang code, including the one of lower-level libraries, to rely ultimately either on basic traces (i.e. the ones offered by Myriad in trace_utils) or on more advanced ones (typically the ones discussed here, offered by Traces - or any other respecting the same conventions) transparently (i.e. with no further change, once the emitter process is registered).
See trace_bridging_test.erl for an example of use thereof.
Trace Ordering
It should be noted that the ordering of the reported traces is the one seen by the trace aggregator, based on their receiving order by this process (not for example based on any sending order of the various emitters involved - there is hardly any distributed global time available anyway).
So, due to network and emitter latencies, it may happen (rather infrequently) that in a distributed setting a trace message associated to a cause ends up being listed, among the registered traces, after a trace message associated to a consequence thereof [4]; nevertheless each trace includes a wall-clock timestamp corresponding to its sending (hence expressed according to the local time of its trace emitter).
[4]A total, reproducible order on the distributed traces could be implemented, yet its runtime synchronisation cost would be sufficiently high to have a far larger impact onto the executions that this trace system is to instrument than the current system (and such an impact would of course not be desirable).
Trace Output Generation
Trace Format Type
Traces may be browsed thanks to either of the following supervision solutions (see class_TraceSupervisor.erl):
 - text_traces, itself available in two variations:
 - text_only if wanting to have traces be directly written to disk as pure, yet human-readable, text
 - pdf, if wanting to read finally the traces in a generated PDF file (hence the actual text includes a relevant mark-up, and as such is less readable directly before a PDF is generated out of it)
 - advanced_traces, for smarter log tools such as LogMX (the default), as discussed below
Trace Rotation
Note also that trace rotation can be enabled: when requested, it is performed (in a synchronous or asynchronous manner, see the rotateTraceFile/1 oneway and the rotateTraceFileSync/1 request of the trace aggregator) unconditionally or based on a threshold in the size of the trace file (the default; see also the setMinimumTraceFileSizeForRotation/2 oneway).
Such trace rotation is typically meant to be triggered by a scheduler, on a regular basis (doing so is more relevant than for example checking a criterion at each trace addition).
If the current trace file is my_file.traces, its rotated version will be an XZ archive named for example my_file.traces.8.2021-1-17-at-22h-14m-00s.xz (the count, here 8, allows to keep track of a series of rotation archives, while the timestamp corresponds to the time at which the log rotation was done), located in the same directory.
Trace Supervision & Browsing
Indeed the tool that generally we use for trace browsing is LogMX (the only tool that we use that is not free software, as we find it convenient), which we integrated:
We implemented a Java-based parser of our trace format for LogMX (see
Traces can be browsed with this tool:
 - live (i.e. during the execution of the program), either from its start or upon connection to the instrumented program whilst it is already running [5] (see class_TraceListener.erl and trace_listening_test.erl)
 - post mortem (i.e. after the program terminated for any reason, based on the trace file that it left)
[5]In which case the trace supervisor will first receive, transactionally, a compressed version of all past traces; then all new ones will be sent to this new listener, resulting in no trace being possibly lost.
The trace supervision solution can be switched at compile time (see the TraceType defined in traces/include/traces.hrl); the Traces layer shall then be rebuilt.
Trace Implementation
General Mode of Operation
All processes are able to emit traces, either by using standalone trace sending primitives (mostly for plain Erlang processes), or by inheriting from the TraceEmitter class, in the (general) case of WOOPER-based processes.
In the vast majority of cases, all these emitters send their traces to a single trace aggregator, in charge of collecting them and storing them on-disk (for most uses, their memory footprint would be quickly too large for RAM), according to an adequate trace format.
This trace format can be parsed by various trace supervisors, the most popular being LogMX.
Various measures have been taken in order to reduce the overhead induced by the overall trace system.
Notably normal traces (as opposed to error-like ones) are sent in a "fire and forget", non-blocking manner (thanks to oneways, which are not specifically acknowledged). The number of messages exchanged is thus reduced, at the cost of a lesser synchronization of the traces (i.e. there is no strong guarantee that the traces will be ultimately recorded and displayed in the order of their emission in wallclock-time, as they will be directly and sequentially stored in their actual order of receiving by the trace aggregator [6], an order that depends itself on the potentially varied network latencies experienced from the potential multiple sources to the trace aggregator).
[6]For example, if both the trace aggregator and a process B are running on the same host, and if a process A, running on another host, emits a trace then sends a message to B so that B sends in turn a trace, then the trace from B might in some cases be received - and thus be listed - by the aggregator before the trace for A (it depends on the network congestion, relative scheduling of processes, etc.).
Trace Emitters
When sending a trace, an emitter relies on its trace_timestamp attribute, and sends a (binarised) string representation thereof (obtained thanks to the ~p quantifier of io:format/2 ). This allows the trace subsystem to support all


text: We investigated the effects of single electron charging energy in high temperature superconductors. Various phenomena originating from Coulomb blockade were observable in superconducting tunnel junctions. High quality tunneling junctions were fabricated from c-axis oriented NdBa2Cu3O7–delta/PrBa2Cu3O7–delta/NdBa2Cu3O7–delta thin film multilayers by the pulsed laser deposition method. The current-voltage characteristics (CVCs) show a Coulomb gap for Cooper pair tunneling when the charging energy exceeds the Josephson coupling energy. We found a regime in which the CVCs exhibit sharply defined Coulomb steps due to single electron dynamics and nonlinear tunneling rates. From the obtained Coulomb staircase, the tunneling resistance shows a quantum effect: It is modulated by the tunneling current in the form h/4e2RT~[sin(piI/I0)2/(piI/I0)]. We suggest an interpretation involving the quantum resistance h/e2 and the competition between the charging, Josephson, and thermal energies of the system. Our results give a perspective on a solid-state quantum system with considerable interest for direct application in quantum computing.


text:
Is this pea plant better at making decisions than you are?
Plants are remarkably good at evaluating risk, according to a new study by researchers at Oxford and Israel's Tel-Hai College.
Plants may just be smarter than you think, according to a new study by an international team of researchers, published in Current Biology this week.
By studying the decisions plants made when presented in environments with different nutrient levels, plants showed a remarkable ability to take calculated risks in order to secure the maximum amount of nutrients.
"To our knowledge, this is the first demonstration of an adaptive response to risk in an organism without a nervous system," said Oxford University's Alex Kacelnik in a press release.
In order to evaluate plants' decision making skills, researchers grew pea plants with their roots split between two pots with varying levels of nutrients. First, scientists found that plants chose to grow more roots in the pot with more nutrients.
Then, scientists examined plant behavior when one of the pots offered a consistent level of nutrients, but the other pot varied widely.
While both pots offered the same amount of nutrients on average, when the average nutrient level was high in the consistent pot, plants chose that pot. Yet, plants chose to grow more roots in the pot with a varied level of nutrients when the consistent pot offered a low amount of nutrients, demonstrating a willingness to take calculated risks.
"Complex and interesting behaviours can be theoretically predicted as biological adaptations, and executed by organisms," said Dr. Kacelnik, "on the basis of processes evolved to exploit natural opportunities efficiently."
Scientists are still unsure of the plants sense variance, but they are nevertheless surprised by the decision making skills that the plants evidently possess.
"I used to look at plants as passive receivers of circumstances," says Efrat Dener, of Ben-Gurion University in Israel. "This line of experiments illustrates how wrong that view is: living organisms are designed by natural selection to exploit their opportunities, and this often implies a great deal of flexibility."
Researchers have been digging up evidence that plants are wiser than we might imagine for some time.
In 2005, The Christian Science Monitor reported that plants are capable of considering their environments and planning for the future.
Strangleweed, for example, can sense "friends, food, and foes." There's evidence to suggest that plants can develop their own "personalities" – identical cuttings from the same "mother" plant develop different characteristics when planted separately, despite being raised in the same conditions.
"If intelligence is the capacity to acquire and apply knowledge, then, absolutely, plants are intelligent," University of Utah biologist Leslie Sieburth told the Monitor in 2005.
Some biologists say that decision-making skills alone do not make plants intelligent, and that in order to be truly intelligent, plants also must have self consciousness.
Still, the study of plant intelligence is a growing field, and scientists say that lessons learned from the study of human and animal decision making are transferrable to the study of plant behavior, which has fascinating implications for future study.
"To see that decision-making models developed by economists for human decision makers," said Hagai Shemesh of Israel's Tel-Hai College, "and by zoologists to understand animal behavior can predict the behavior of plants facing similar choices is fascinating."
The next step, scientists say, is presenting plants with tasks that require them to adapt to different circumstances.


An explosive journey through the history of Chemistry
Students at Holy Trinity Academy were treated to more exciting demonstrations as part of the Aspire to Higher Education programme, thanks to the University of Wolverhampton. They were taken on an interactive and explosive journey to learn about some of the most important discoveries and laws of chemistry and the people who invented them.


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Economics of Sustainability
Approach the topic of sustainability from an economic standpoint. Investigate some of the economic tools and techniques decision-makers draw on to address sustainability problems. Address where climate change fits into this discussion.
Your upfront cost: $0
- 30 Aug 2021
This research-based university in Perth has a strong interdisciplinary focus and a reputation for outstanding teaching and ground-breaking research. With more than 22,000 students and 2,000 staff from over 90 countries, and campuses in Dubai and Singapore, Murdoch embraces free thinking, shared ideas and knowledge to make a difference, and Open Universities Australia is certainly part of that.
QS RANKING 2021
Times Higher Education Ranking 2021
On successful completion of the subject you will be able to:
- demonstrate a critical understanding of existing economic perspectives as they pertain to sustainability
- analyse contemporary debates surrounding issues of sustainability and economic development
- engage in contemporary debates surrounding issues of sustainability and economic development
- communicate clearly both orally and in writing
- The nature of sustainability
- Introduction to economic thought
- Economic tools for decision makers
- Economics and climate change
- Economic growth and heretical alternatives
- Economics for sustainability: an uneasy marriage?
Students must have completed 18 credit points (6 OUA subjects) at Level 1 before enrolling in this subject.
No special requirements
This intensive subject explores the interplay between economics and sustainability. Students will examine the explanatory power and policy impact of the dominant neoclassical economics paradigm in order to understand its benefits and limitations in relation to sustainability. The subject provides an overview of economic tools and techniques for dealing with sustainability problems and introduces alternative economic perspectives, which challenge economic orthodoxy.
Please Note: All students studying at Murdoch University will need to complete the compulsory unit, Murdoch Academic Passport (MAP100), which only takes 2-3 hours to complete online. Find out more: _URL_
All assessment work goes beyond mere comprehension and reproduction of unit content. Students are required to critically engage with the unit content, which challenges assumptions and ways of thinking. Class activities and discussions serve the purpose of exploring the contested terrain of economics and sustainability. The written assignment asks students to develop a robust theoretical grounding and to translate and apply economic theory to current affairs and contemporary sustainability concerns.
- Timed Online Exam (30%)
- Written Assignment (30%)
- Online Participation (15%)
- Online quizzes (25%)
Current study term: 29 Aug 21 to 28 Nov 21
Check the learning management system (LMS) of your university for textbook details.


What is it?
DNAlysis is a test which has been developed to test specific genes which may affect your health and influence who you body deals with food and calories. It takes a lot of the guess work out of know what type of diet you should be on and which health risks you should be aware of. There is no blood test, it's just a simple cheek swab that is used for the testing.
Why is it important?
The importance of these test are to focus on your specific risk areas possibly even before they become a problem. Your DNA also doesn't change so you will only ever have to do the test once.
How can i help you?
As a registered Dietitian, I have done a course on DNAlysis and am accredited with them to do the tests and interpret our results so that you can start to make the changes toward a healthier you. authority on the DNA health program.
_EMAIL_ | _PHONE_
©2019 by Toni Brien Registered Dietitian.
Created by 36 Craft
Monday - Friday
Saturday (by appointment)
Health & Education Centre
52 Kingfisher Drive, Fourways


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Is there an easier way to solve problems such as this?
I mean we know that quadrants have their respective x, y properties, Q1 +x,+y, Q2 -x,+y, etc.
Is there a counterpart for determining such in a slope?
Say for instance m = 2/3 will never pass Q4. In general, if slope is positive, it never passes Q4. Similarly, if slope is negative, it never passes Q3. Is this true?
Yes, that's definitely an easier way to solve this. If a line has a positive slope AND a positive y-intercept, then it will never pass through Q4. You can come up with similar rules for each combination:
- positive slope, negative y-intercept - never pass through Q2
- negative slope, positive y-intercept - never pass through Q3
- negative slope, negative y-intercept - never pass through Q1
We can also state these rules:
- positive slope - will always pass through Q1 and Q3
- negative slope - will always pass through Q2 and Q4
From Statement 2, we know that the slope is positive. Therefore, we know that it will pass through Q3, so it is sufficient.


text:
Understanding Water Types in Alamo Heights, TX
When your home or business suffers a water damage, understanding what type of water you are dealing with is critical to ensuring proper cleanup.
There are three types of water. Clean water is from a broken pipe, or other water source. The term gray water is used to classify slightly contaminated water. Clean water becomes gray water when it is left untreated allowing bacteria & other contaminants to begin growing, making the water hazardous. Black water is highly contaminated & filled with fungi, bacteria, chemicals & more. Black water is typically caused by sewage damage, flooding or any type of natural disaster. Black water should always be handled by trained professionals such as your local SERVPRO of Alamo Heights professionals. We are here to serve our Alamo Heights community day or night every day of the year at


text:
3rd Edition - Day 10: Nai in India
December 12, 2022
View the JoshuaProject profile here. To view a PDF of the daily prayer booklet, click here.
- Population: 13,763,000
- Religion: Hinduism
- Language: Hindi
- Christians: Less than 0.1% *
- Movement: None Reported
- Written Scripture: Complete Bible
- Oral Scripture: Complete Bible
- Workers Needed: 275 **
*Per census reports, etc. **for 1 worker per 50,000
- Lord, send believing families to live among the Nai, to love them, to live out Jesus's teachings, to pray for them, seek to bless their communities and share the Nai's burdens. Through Jesus, show the Nai that You freely love, forgive and heal them, as they repent, put off the old and put on the new.
- Lord, bless Your Holy Scriptures in their language (Hindi) to spread through their homes and communities. Lord, send people to teach literacy to the adults and working teens. Meet their needs for access to easy modern Hindi translations.
- Lord, raise up Nai families of peace so that their communities come to faith in Jesus and are freed from the fear of death and reincarnation. Lord, restore families through repentance, forgiveness, healing, and teaching in power so evil spirits and strongholds are overcome in their communities.
God's blessing upon the Nai: Thanks be to God, who always leads us in triumphal procession in Christ and through us spreads everywhere the fragrance of the knowledge of Him. For we are to God the aroma of Christ among those who are being saved and those who are perishing. (2 Cor. 2:14)


Skip the auto shop - Our mechanics make house calls
P0530 OBD-II Trouble Code: A/C Refrigerant Pressure Sensor Circuit Malfunction
check engine light
P0530 code definition
The P0530 code means that there is a malfunction with the A/C refrigerant sensor circuit.
What the P0530 code means
The powertrain control module has detected that there is an issue with the A/C refrigerant pressure sensor circuit. Whenever the voltage is too high or too low, it will store the trouble code, and the Check Engine Light could come on as well.
What causes the P0530 code?
The following are causes commonly associated with the P0530 code:
 - Low Freon in the system
 - Excessive system pressure
 - Faulty A/C refrigerant pressure switch
 - Damaged, shorted, or open wiring
 - Faulty electrical connectors
 - Faulty climate control head
What are the symptoms of the P0530 code?
When this code appears, the biggest problem you will face is the fact that your air conditioning system is not likely to work at all. In addition, the Check Engine Light will come on and stay on. The light might not be much to worry about, but you do not want to spend very long without having air conditioning for your vehicle.
How does a mechanic diagnose the P0530 code?
When a mechanic works on your vehicle, they will use their OBD-II scanner to connect to your vehicle's onboard computer. It will gather information and data about the vehicle's issues, which can make diagnosis much easier. If the air conditioner still seems to be running, the mechanic will certainly want to reset the code and then see if it comes back after driving the vehicle. This will let them know that there really is a problem with the vehicle.
Common mistakes when diagnosing the P0530 code
When technicians see this code, as well as other codes related to the air conditioning, they may jump to the conclusion that there is not enough Freon in the vehicle. They add more, even though this wasn't the reason the code was stored. This has the potential to damage the vehicle by causing a failure of the system. The technician needs to diagnose the vehicle properly if they hope to repair it.
How serious is the P0530 code?
You probably don't like the idea of being stuck in a vehicle on a hot day if you don't have any air conditioning. Even though you might be able to drive your vehicle, it will not be very enjoyable. Therefore, it is a good idea to take your car or truck in for service right away. The mechanics can examine the vehicle and determine what's wrong with it and make the needed repairs.
What repairs can fix the P0530 code?
Here are some of the potential repairs that the mechanics might have to make when they are fixing the P0503 code:
 - Check the Freon in the system, and only add it if needed
 - Check for excessive pressure in the system and make repairs to relieve it
 - Replace or repair any damaged, shorted, or open wiring
 - Replace the faulty control head
 - Replace the faulty electrical connectors if they are present
 - Replace the faulty A/C refrigerant pressure switch if it proves to be the cause of the problem
Additional comments for consideration regarding the P0530 code
Even when you roll down the windows, you can't keep the interior of your vehicle as cool as you could if your air conditioning was working. Not having air conditioning can be a huge hassle and you certainly won't want to drive anywhere in the blistering heat without it. Therefore, you should make sure you bring your vehicle to a qualified mechanic who can go over the P0530 code and make repairs to the system so you can stay cool on the road.
Need help with a P0530 code?
YourMechanic offers certified mobile mechanics who will come to your home or office to diagnose and repair your vehicle. Get a quote and book an appointment online or speak to a service advisor at _PHONE_.
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Up to 20,000 people may have been killed in Libya's eastern city of Derna (pop: 90,000) after catastrophic flooding this week.
The catalyst was a rare Mediterranean hurricane ('medicane') named Daniel, that caused deadly flooding in Greece, Turkey, Bulgaria and beyond.
After the storm turned south over the weekend, heavy rainfall caused two dilapidated dams near Derna to fail. A 60-foot wall of water then inundated the city and swept entire neighbourhoods out to sea.
Intrigue's take: The science suggests these kinds of medicanes are becoming less frequent but more extreme. Either way, North African infrastructure was never built for storms like Daniel. And Libya's years of conflict make adaptation near impossible.
Also worth noting:
- Over 400mm (16 inches) of rain fell in the nearby city of Bayda on 10-11 September, more than Libya's annual average rainfall.
- The death toll in Libya already exceeds that of the 1927 Algerian floods (3,000 killed), making it Africa's deadliest storm since 1900. It's also the deadliest storm globally since at least 2013.


True Religion, Sweet Salvation and Spiritual Liberation: The Power of African American Spirituals and Gospel Music
There is an inherent power in African-American spirituals and gospel music. The sanctity of this musical lineage transcends its religious context. This workshop traces the power of gospel and the spirituals to their historical, cultural, and elemental sources. Empower your ability to self-soothe, turn inspiration into aspiration, and heal through song.


Difference Between String and str in Rust
Alex Garella
18th March 2023
In Rust, there are two main string types: String and str.
The primary differences between them are in ownership, mutability, and how they are stored in memory.
String
 - Growable, mutable, owned, heap-allocated string type.
 - Represented as a Vec<u8> under the hood, so it can be resized.
Usage
 - When you need a modifiable string, e.g., appending, inserting, or removing characters.
 - When the size of the string is unknown or may change during runtime.
 - When you want to pass ownership of the string to another function or return it from a function.
Downsides
 - Less efficient when dealing with constant or fixed-length strings due to heap allocation and resizing operations.
 - Potential performance overhead due to heap allocation and deallocation.
Code example
fn main() { let mut s = String::from("Hello"); // Create a new String with content "Hello" s.push_str(", world!"); // Append the string ", world!" to the original String println!("{}", s); // Output: "Hello, world!" }
str
 - Immutable, borrowed, fixed-length, stack- or heap-allocated string slice.
 - Often seen in its borrowed form, &str.
Usage
 - When you need a constant, fixed-length string or a read-only view of a String.
 - When you want to avoid heap allocation for better performance.
 - When you want to create a function that accepts both String and &str by using &str as the input type.
Downsides
 - Cannot be modified, so it's not suitable for cases where you need to change the string.
 - Can lead to lifetime-related issues when borrowing from other string types, requiring explicit lifetime annotations in some cases.
Code example
fn main() { let s: &str = "Hello"; // Create a new &str with content "Hello" // The following line would produce a compile-time error since &str is immutable: // s.push_str(", world!"); println!("{}", s); // Output: "Hello" }
Converting between String and &str
Here is a code example of how to convert beteen String and &str
fn main() { let s = String::from("Hello"); // Create a new String with content "Hello" let s_slice: &str = &s; // Create a &str slice that borrows from the String println!("String: {}", s); // Output: "Hello" println!("&str: {}", s_slice); // Output: "Hello" }
Summary
 - Use String when you need a mutable, growable string.
 - Use str (usually in its borrowed form, &str) when you need an immutable, fixed-length string.
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into the details PLN and published as a module so it's usable in the future.
By providing hotlinked details in the template, we have some standard details done, as well as a head start on modifications we might need for the project.
Electrical Symbols
The electrical symbol legend is a hotlinked PLN file (not a module; it's just one story) placed in the template's floor plan on the story Footings (-2), a non-publishing story below the Basement (-1). There is a view saved of the legend, which is placed as a drawing on the electrical sheet layouts.
The legend can't be placed in a detail or worksheet viewpoint, because some of the symbols are lamp elements, which can't be placed in details. (The rest are objects.)
The legend itself is handy for doing electrical plans: Set the trace reference to that Footings story, and you can eyedropper (Opt+click) on the symbols.
Again, the legend is standard in the template when the project begins. If the'master' legend is updated, the hotlink manager will alert the user. OTOH, if the user wants to break the link and modify the legend, they can do that.
Drawing Symbols and Standard Fills
On the cover sheets we have legends for drawing symbols, section fills, and surface fills. These are external views from a PLN file, placed as drawings on the two (Sizes D and E) cover sheet master layouts. (We use size C internally and for preliminary work, but never for official submissions or CDs. So no cover sheet with the legends.)
Because the sheets are different sizes the legends are as well, and there are separate views for each sheet size. The Drawing Symbols.PLN file has four stories.
The symbols and the section fills are published at 1:1 scale, so those two legends can be next to each other on one story. The surface fills are "Model Size", so they have to be published at an architectural scale (1:48) in order to show anything in the tiny boxes of the legend. They have their own story.
Two stories for E size, two for D. The four stories are saved as views with the appropriate 1:1 or 1:48 scale.
These legends rarely change, but when they do, the placed drawings can be updated.
Elevator Plan
Location: 14 Conveying Systems /
This is a hydraulic residential elevator based on a product line of a real company. Since I don't know how they feel about me 'using' their 'IP', I'm not saying who it is at this time. You could probably figure it out.
Because it's a real product line, there are limited size and configuration options. Under Cab Size there are three. Under Door Configuration there are various. Some of the door configurations offer the option to have the door hinge from the 'Track' side of the elevator or the 'Opposite' side. If this parameter doesn't apply, it is hidden.
You can choose the configuration visually under the 'Configurations' interface tab.
Elevator Chooser
There is a read-only Configuration Code which is generated from the Door Configuration and the Hinge Side. This is from the product catalog.
I have provided a Standard Sizes parameter which locks the length and width to the catalog data. I wouldn't turn this off; I would rather know how big the real equipment is. The only case where I would turn it off is where I was using another manufacturer and the configurations were similar but the exact dimensions were different. Anyway, it's stretchable in principle, but the default is to be locked to the standard sizes. Turn this switch off and stretch to any impossible shape you want, YMMV.
Place the object on the bottom story of the elevator's true extent. Show the object on All Stories. Set the object's Stories Served parameter to reflect the number of actual stories the elevator will serve. The 2D symbol will not be shown above or below this range. (Though (Archicad fail) the object will still be selectable via Select All on stories where it is not visible.) The wall track which supports the cab will automatically extend through all but the top story being served by the elevator. The top story is covered by the value in the Top Rail Height parameter. This value should be roughly the top story's ceiling height. (I found in most cases that the track was too tall if it ran the whole top story.)
The Raise Cab parameter determines how many stories the cab will be raised in 3D from the home (bottom) story. This would only matter if you cut a section through the elevator shaft, and frankly it wouldn't matter much even then.
Elevator Pit
If the Pit Depth parameter is non-zero, the object will build the pit below the elevator. You can set the thickness of the walls and floor of the pit. You still need to cut a hole in the surrounding slab. The pit will be placed under that slab, using the Surrounding Slab Thickness parameter.
In plan, it looks like an elevator. The length and width dimensions are based on the finished dimensions of the shaft. The text bit should center in the car and it can be customized if "ELEV" doesn't suit you. There is a red (pen 10) line at the center of the door(s), and nodes at the edges of the doors. The door is not part of the object; you need to place a door in a wall normally. There are also hotspots at the center of the track and at the centerlines of the required structure for the track.
The associated pump equipment is a separate object, Elevator Equipment JM16. I also have a call box symbol for the electrical plan, Elevator Call Switch JM16.
Download (AC16)
CL Types
Location: 01 General / 1 Graphic Symbols
First is the option to show a line in addition to the symbol. If the line is shown, you have the option of repeating the CL symbol at the other end.
Update: If the line is shown and the symbol at the end is on, the symbol at the start can be turned off. In this way you can have the line pointing up from the symbol.
Second, I saw Jakub Chruscinski's version of my old symbol on BIMcomponents, which includes a complete font list in the text options. I'm offering the complete list as an option since it seems like something people like, but it defaults to off. I prefer to restrict the list to our standard fonts.
The default font is Arial in the version I am sharing, but the sublime font in the preview is Gill Sans, which is what we use in practice.
Wonkish: The symbol code consists of two text blocks whose alignment is set using X and Y coordinate offsets with absurd precision (0.0001"). Not all fonts will look right automatically. To get an arbitrary font to look good, you might need to open the 2D script and modify the offsets.
Download (AC16)
This is everything I can think of about libraries management. There have been a lot of changes over the years.
Current naming standards. Still very boring.
These rules aren't set in stone, but if we all stay near the rules we all stay near each other. Like all standards, they work most of the time. When a situation is addressed by the standards, you can save your creativity for the projects.
Adam Savage is a huge fan of The Shining. In homage, he built a replica of the Overlook Hotel's hedge maze model which is so awesome that... well, watch the video. I am a huge fan of The Shining, and of Adam Savage. In homage, I made this Archicad model of the Savage replica.
Maze 3D
I used much less time, material, and skill, but I followed a similar process to that shown in the video: Figure out the grid, figure out the scale, obsess over screenshots, find good materials, and don't let it go even as it takes longer than it should.
While Adam makes clear that his model is a replica of the (prop) model inside the hotel, not a model of the maze itself (which likely does not 'exist'), my model is roughly 50:1 scale with the replica, restoring it to'real life' scale, based on the discussion in the video.
So this is a virtual model based on a video of a real replica of a lost real model of a likely unreal maze from a movie. (No, the maze isn't in the book IIRC.)
If you want a "model" of the maze, i.e., a miniature replica at 1:50 scale, suitable for modeling the Overlook itself, you can save the whole thing as an object and then shrink it. Use the saved view called 'Top View', select all elements, then File -> Libraries and Objects -> Save Selection As... -> Object. When placing the object, link the XYZ dimensions with the chain button and set the length to about 8 feet / 2.5m. Put it on a table.
Here is the PLA file (8MB). Here is the desktop BIMx file (4MB). Here is the Graphisoft BIMx viewer page. Here is an STL file (1.3MB).
If this was a proper post it would be clearer and have some illustrations. These are just my notes on the process, quite involved for us as you'll see, of migrating a project to AC17/18. Even though 17 was released 18 months ago, we still have projects in earlier versions and I doubt we are alone. IMO, the combination of Building Materials and "Inside/Outside" for walls is the biggest change to AC modeling in my


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I am using Emgucv and i would like to know if it possible to remove the background from a _capture.QueryFrame and to be able to focus on the nearest object on my camera? Thanks in advance.
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Yes this is quite possible take a look at the "MotionDetection" example provided with EMGU this should get you started.
Effectively the code that removes the foreground is effectively named "_forgroundDetector" it is the "_motionHistory" that presents stores what movement has occurred.
The example has everything you need if you have trouble running it let me know,
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