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Grupo de Análise de Mercado

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Takeoff



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Takeoff



Methods and measures: Fifty-five athletes were randomly assigned to 1 of 4 training groups: trunk stability (TS), leg strength (LS), trunk stability and leg strength (TL), and control (CO). Subjects were tested 3 times: at pretraining, after 3 weeks of training, and after 9 weeks of training. A repeated-measures analysis of covariance (ANCOVA) was used to examine differences among groups for vertical takeoff velocity measured indirectly using a force plate. Pretraining takeoff velocity and body mass were used as covariates.


Results: After 3 and 9 weeks, the training groups were not different from each other. After 9 weeks of training, all 3 training groups had a greater takeoff velocity than the control group (P


Conclusions: Nine weeks of trunk stability training was similarly effective in enhancing vertical takeoff velocity as leg strength training or the combination of trunk stability and leg strength training.


AI Takeoff refers to the process of an Artificial General Intelligence going from a certain threshold of capability (often discussed as "human-level") to being super-intelligent and capable enough to control the fate of civilization. There has been much debate about whether AI takeoff is more likely to be slow vs fast, i.e., "soft" vs "hard".


Fast takeoff is often justified by pointing to the incredible transformative potential of intelligence; by enumerating the many ways in which AI systems will outperform humans; by pointing to historical examples of rapid change; etc.


This on its own is not an argument for discontinuity: before we have AI that radically accelerates AI development, the slow takeoff argument suggests we will have AI that significantly accelerates AI development (and before that, slightly accelerates development). That is, an AI is just another, faster step in the hyperbolic growth we are currently experiencing, which corresponds to a further increase in rate but not a discontinuity (or even a discontinuity in rate).


However, I think each of these factors is perfectly consistent with the continuous change story and continuously accelerating hyperbolic growth, and so none of them undermine that hypothesis at all. This is not a case of a bunch of weak signs of fast takeoff providing independent evidence, or of a bunch of weak factors that can mechanically combine to create a large effect.


It seems like there are two very different questions baked into the fast vs slow takeoff question:1) If an AI is better at AI research than the best human, will it recursively self improve to become vastly better than all humans at almost everything, within a short timespan (days? weeks?); or will the difficulty of improving intelligence increase faster than the intelligence of the AI, such that the path from human level intelligence to superintelligence will take decades, and require all of human civilization?2) Will the process of getting to such an AI be gradual, such that the potential recursive self-improvement is just a continuation of what came before; or will it be the result of a small number of insights, such that a possible intelligence explosion will come without warning?


The continued popularity of scenarios that posit fast takeoff with weak precursors is, I think, the result of a failure to update on the actual trajectory of AI development, or a failure of imagination in considering how intermediate levels of AI technology could be exploited.


Answering this question will shed light on how a construction takeoff is crafted, the core components of a construction takeoff, and what factors you should consider when creating a construction takeoff.


Each of these materials is quantified, and a price is assigned to each. These two steps are usually done separately, with the estimator first creating a quantity takeoff list and then assigning a cost to each material.


To create a construction takeoff, the estimator must understand how to read blueprints and draw item quantities from the outline. The final product of a construction material takeoff is the total material cost for a project. Because of this, the construction takeoff is essential for the overall estimating process.


While this is not technically a material takeoff, it does illustrate the fact that there can be very simple material takeoffs for small projects. That being said, in practice, a material takeoff is often much more complex.


Larger construction projects can be a time-consuming process that involves a team of estimators. There are some ways to streamline the construction takeoff process, including the use of construction estimating software. Still, it is essential to understand that construction takeoffs can be very demanding for complex projects.


During this part of the construction takeoff, the estimator will often seek out bids from material suppliers. Experienced contractors may already have prices for commonly used materials, streamlining this part of the construction takeoff process significantly.


In a manual takeoff, the estimator or contractor will read the blueprint, list each component required, including the type of material and essential considerations such as length, volume, or area of the material.


Second, manual construction takeoffs are prone to errors. Materials can be miscounted, counted twice, or not included at all. It is much easier to miss the mistakes in a construction takeoff when completing it by hand.


Some digital takeoff software gives the user the ability to upload a blueprint directly into the software suite. From this blueprint, the software can pull a comprehensive list of all material requirements for the project. A contractor or estimator can then make any adjustments they need to, such as increasing the number of materials required for the project manually to account for material waste.


Some construction takeoff software platforms can draw material costs data from databases such as RS Means, which offers a comprehensive database of construction material data adjusted based on location.


For manual takeoffs, once all of the data has been gathered, the estimator must then create a detailed takeoff to provide the client or design team. Whereas with digital takeoff software, this process is much more straightforward.


The digital takeoff data can be exported to another program that can generate reports. If the platform has integrated reporting functionality, the report can be generated without ever leaving the program.


This saves time by avoiding having to enter data twice while also increasing the accuracy of the final takeoff, allowing contractors and subcontractors to spend less time creating reports and more time bidding on projects.


Ultimately, construction takeoffs build a picture of what the project looks like in time and expense. This knowledge will allow you to make any necessary changes before the project begins instead of discovering issues several months along.


In 1989, in reaction to a number of takeoff accidents resulting from improper rejected takeoff decisions and procedures, a joint Federal Aviation Administration (FAA)/industry taskforce studied what actions might be taken to increase takeoff safety. Airframe manufacturers, airlines, pilot groups, and regulatory agencies developed a training resource dedicated to reducing the number of rejected takeoff (RTO) accidents. This resource was then published by the FAA.


This material gave information on operational procedures and crew qualification programs regarding rejected takeoffs. The goal of the Takeoff Safety Training Aid was to minimise the probability of RTO-related accidents.


Buildertrend Takeoff will allow builders who currently use multiple systems for takeoff and project management to run jobs from start to finish in one streamlined platform. This will reduce the amount of time it takes builders to start projects and help to minimize errors and rework.


As part of the ConstructConnect platform, seamlessly integrate digital takeoff into your preconstruction workflow. Projects within ConstructConnect can be pushed to takeoff with a single click. Because project data and takeoff are integrated, projects will automatically update when addenda are released. Learn more about the features and workflow provided by the ConstructConnect platform.


Estimating software that thinks the way you do. Increase speed and accuracy while reducing rework. Create multi-condition takeoffs, auto count objects with character recognition, overlay two versions of drawings to easily see changes, and much more.


Intuitive digital takeoff software incorporating point and click, drag and drop, and the option for a free trial. Easily customize your experience to your trades by creating assemblies of commonly used materials, waste, and labor.


Digital takeoff software developed by a team of estimators designed specifically for contractors doing piping, ductwork, and HVAC work. Automatically calculate your labor hours and material costs for piping as well as rectangular, round, and oval ductwork. Spool pipe lengths automatically, show the hanger during takeoff, among a collection of other features.


On-Screen Takeoff and PlanSwift are the two best electrical plan takeoff software tools on the market. Both integrate with with Electrical Bid Manager and enable all the benefits of using electronic plans.


Manage and organize your takeoffs with color coded takeoff markers and easy to use takeoff edit tools. Add to existing takeoff counts, change a linear length measurement or remove a takeoff altogether. Everything is synced to your bid.


We host monthly webinars that cover the integration electrical plan takeoff with Electrical Bid Manager. These webinars cover both PlanSwift and On-Screen Takeoff. Call us to learn more and sign up. (800) 258-7752 041b061a72


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