Sentences with phrase «predicted using the laws»

The flows of traffic and the movements of any pedestrian can not be predicted using the laws of mechanics.

Not exact matches

Important factors that may affect the Company's business and operations and that may cause actual results to differ materially from those in the forward - looking statements include, but are not limited to, increased competition; the Company's ability to maintain, extend and expand its reputation and brand image; the Company's ability to differentiate its products from other brands; the consolidation of retail customers; the Company's ability to predict, identify and interpret changes in consumer preferences and demand; the Company's ability to drive revenue growth in its key product categories, increase its market share, or add products; an impairment of the carrying value of goodwill or other indefinite - lived intangible assets; volatility in commodity, energy and other input costs; changes in the Company's management team or other key personnel; the Company's inability to realize the anticipated benefits from the Company's cost savings initiatives; changes in relationships with significant customers and suppliers; execution of the Company's international expansion strategy; changes in laws and regulations; legal claims or other regulatory enforcement actions; product recalls or product liability claims; unanticipated business disruptions; failure to successfully integrate the Company; the Company's ability to complete or realize the benefits from potential and completed acquisitions, alliances, divestitures or joint ventures; economic and political conditions in the nations in which the Company operates; the volatility of capital markets; increased pension, labor and people - related expenses; volatility in the market value of all or a portion of the derivatives that the Company uses; exchange rate fluctuations; disruptions in information technology networks and systems; the Company's inability to protect intellectual property rights; impacts of natural events in the locations in which the Company or its customers, suppliers or regulators operate; the Company's indebtedness and ability to pay such indebtedness; the Company's dividend payments on its Series A Preferred Stock; tax law changes or interpretations; pricing actions; and other factors.

Important factors that may affect the Company's business and operations and that may cause actual results to differ materially from those in the forward - looking statements include, but are not limited to, operating in a highly competitive industry; changes in the retail landscape or the loss of key retail customers; the Company's ability to maintain, extend and expand its reputation and brand image; the impacts of the Company's international operations; the Company's ability to leverage its brand value; the Company's ability to predict, identify and interpret changes in consumer preferences and demand; the Company's ability to drive revenue growth in its key product categories, increase its market share, or add products; an impairment of the carrying value of goodwill or other indefinite - lived intangible assets; volatility in commodity, energy and other input costs; changes in the Company's management team or other key personnel; the Company's ability to realize the anticipated benefits from its cost savings initiatives; changes in relationships with significant customers and suppliers; the execution of the Company's international expansion strategy; tax law changes or interpretations; legal claims or other regulatory enforcement actions; product recalls or product liability claims; unanticipated business disruptions; the Company's ability to complete or realize the benefits from potential and completed acquisitions, alliances, divestitures or joint ventures; economic and political conditions in the United States and in various other nations in which we operate; the volatility of capital markets; increased pension, labor and people - related expenses; volatility in the market value of all or a portion of the derivatives we use; exchange rate fluctuations; risks associated with information technology and systems, including service interruptions, misappropriation of data or breaches of security; the Company's ability to protect intellectual property rights; impacts of natural events in the locations in which we or the Company's customers, suppliers or regulators operate; the Company's indebtedness and ability to pay such indebtedness; the Company's ownership structure; the impact of future sales of its common stock in the public markets; the Company's ability to continue to pay a regular dividend; changes in laws and regulations; restatements of the Company's consolidated financial statements; and other factors.

Important factors that may affect the Company's business and operations and that may cause actual results to differ materially from those in the forward - looking statements include, but are not limited to, increased competition; the Company's ability to maintain, extend and expand its reputation and brand image; the Company's ability to differentiate its products from other brands; the consolidation of retail customers; the Company's ability to predict, identify and interpret changes in consumer preferences and demand; the Company's ability to drive revenue growth in its key product categories, increase its market share or add products; an impairment of the carrying value of goodwill or other indefinite - lived intangible assets; volatility in commodity, energy and other input costs; changes in the Company's management team or other key personnel; the Company's inability to realize the anticipated benefits from the Company's cost savings initiatives; changes in relationships with significant customers and suppliers; execution of the Company's international expansion strategy; changes in laws and regulations; legal claims or other regulatory enforcement actions; product recalls or product liability claims; unanticipated business disruptions; failure to successfully integrate the business and operations of the Company in the expected time frame; the Company's ability to complete or realize the benefits from potential and completed acquisitions, alliances, divestitures or joint ventures; economic and political conditions in the nations in which the Company operates; the volatility of capital markets; increased pension, labor and people - related expenses; volatility in the market value of all or a portion of the derivatives that the Company uses; exchange rate fluctuations; risks associated with information technology and systems, including service interruptions, misappropriation of data or breaches of security; the Company's inability to protect intellectual property rights; impacts of natural events in the locations in which the Company or its customers, suppliers or regulators operate; the Company's indebtedness and ability to pay such indebtedness; tax law changes or interpretations; and other factors.

«With all these laws being passed against plastic grocery bags I predict we will see an increased use of paper bags!

Our task is not (as it is for positivism) to discover the covering laws that explain and predict observable associations of conditions and events, but to use all available empirical evidence and powers of reason to develop conceptual models that as accurately as possible describe the real capacities and causal processes operating at the deeper, unobservable level of reality.

The model used the state's laws and commonly used tax incentives to predict total economic development spending beyond numbers reported by state government.

Even if computer programs aren't used to predict recidivism, that doesn't mean they can't aid law enforcement, says Chelsea Barabas, a media researcher at MIT.

The study, published in Physical Review Letters by researchers from UCL, the Russian Academy of Sciences (Russia), National Institute of Standards and Technology (USA) and Nicolaus Copernicus University (Poland), shows how the fundamental laws of quantum mechanics can be used to predict precisely how light of different colours is absorbed by CO2.

But rather than checking through every possible combination of variables to see if, say, a plane will fly straight or stall when the wind picks up, control theorists look for underlying laws of control that can predict how something will behave using just a few key variables.

Kazuaki Sakoda of Japans Nanomaterials Laboratory at the National Institute for Materials Science notes that the «work clearly demonstrates that even Plancks law — the starting point of the era of quantum mechanics [used to predict these interactions]-- can be modified.»

Its variety of uses also means that the potential impact on existing intellectual property laws is difficult to predict.

A 2016 ProPublica investigation found that COMPAS, a tool used by many courtrooms to predict whether a criminal will break the law again, wrongly predicted that black defendants would reoffend nearly twice as often as it made that wrong prediction for whites.

For example, a custom coded numerical model has been used to predict differences in the diffusive scaling laws across the depth of a microchannel.

«Using T - B's law, we tried to predict where there could be more planets further out in the planetary systems,» Steffen Kjær Jacobsen, a PhD student at the Niels Bohr Institute at the University of Copenhagen, said in a statement.

Duncan predicted that by the end of this year, 82 percent of schools would not be making AYP, a statistic he used to make his case to Congress for reauthorizing the law.

In California, the use of other measures in addition to placement exams (known as multiple measures) is mandated by law — in fact, research shows that measures such as high school achievement data do a comparable or better job at predicting college success.

You can't negotiate or spin the laws of physics, and as capitalists used to say in a more adventurous time, «The best way to predict the future is to create it.»

In the first place, almost all science can be considered to be «mathematical modeling» in one sense or another; if you were to attempt to predict how long it takes a baseball dropped from six feet to reach the floor, you would probably use Newton's laws and make your prediction based on the equation t = sqrt (2s / g) where s is the distance fallen and g is the local acceleration of gravity.

«which you have used with your incorrect application of the Ideal Gas Law to predict the surface temperature Venus.»

Many current laws mandate the use of a specific technology, apparently assuming that legislators can predict the success of future R&D.

Bejan has shown that a basic structure of the climate (Hadley circulation) can be both predicted and quantified by the use of the maximization principle of the Constructal Law (cite).

We can describe the movement of the die by Newton's laws, and use this description to predict the state (the upmost face) if the time horizon of the prediction is short (say smaller that the time taken by a couple of collisions with the table).

Asimov's Psychohistory, the three laws of robotics, Alien invaders of many sorts - good, bad, and indifferent SETI equation The Dean Drive Faster than light drive Using wormholes Going through an event horizon You forgot the A bomb, predicted a couple years before the first one was used.

It has also expanded in analytics, using docket data to predict litigation outcomes and to to provide analytical profiles of judges, parties, law firms, and attorneys.

Specifically, law firms and corporate legal departments can use their own data to predict costs, negotiate prices, and even gauge attorney success.

Lawyers need to also take advantage of new tools which development in technology have brought about to work more effectively — lawyers now have access to tools that help make contract drafting and review quicker using artificial intelligence; tools that speed up research time by using electronic law reports, and there are even tools in other jurisdictions which attempt to use data to predict outcomes of court cases using predictive analytics.

The staff can not tell you whether or not you should sue someone, recommend any specific attorney or law firm, give you an opinion about your case or predict how a judge might rule, talk to a judge on your behalf, or tell you what words to use in your court papers or at a court hearing.

It can not predict whether a lawyer will act responsibly or use the law to his advantage at the expense of his clients and the public.

I'm confident that, one day, AI will be good at identifying trends in decision - making and new ideas generated in literature and use this to predict upcoming changes in the law.

But if LSATs don't predict performance or success, then what test — if any — should law schools use to determine eligibility for admission?

Mary Juetten, founder of Traklight.com and author of Small Law Firm KPIs: How to Measure Your Way to Greater Profits, discussed how to use KPIs, their benefits and exposed the number lawyers in the room who don't use this tool to help with understanding and predicting their earnings, during her presentation called «Being profitable: Measuring what matters to your bottom line,» given at the Small Law Firms and the Business of Success event at Thomson Reuters in Toronto Nov. 2.

Computers, using complex algorithms to analyze tens of thousands of similar cases and decisions, can now be used to predict the outcome of court fights, according to Daniel Katz, an assistant law professor at Michigan State University.

In a report last November, Civilisation 2030: The near future for law firms, the consultants look at trends like smartphones and digital memory to predict that the next 15 years will likely result in artificial intelligence being used extensively in the legal industry.

These startups are using big data and legal analytics to help predict the future of the law from judge decisions to patent applications.

Big law firms will be using predictive analytics and artificial intelligence (AI) not only to predict

A prominent e-discovery lawyer and one of the nation's leading authorities on the use of TAR in litigation, Tom advises corporations and law firms on best practices for applying Catalyst's TAR technology, Insight Predict, to reduce the time and cost of discovery.

And a few law - specific tools are rapidly maturing: ROSS uses IBM's Watson framework to assist with legal research, while Beagle.ai leverages machine learning to predict your contract review preferences and streamline your redline process.

In a webinar on 1 November, Ms Green promises to show how to use Bloomberg's new tool to: «Uncover relationships among law firms, companies and judges to inform litigation strategy; Understand a judge's behavior when ruling on certain motions; Better predict possible litigation outcomes through data visualization».

This law professor is using analytics to identify patterns in legal documents and predict future outcomes.

Law firms will also use software to monitor and reduce costs, and to gather more data on clients, with the eventual aim of predicting customers» needs.

Companies and law firms can use the platform to monitor their own trials and predict case outcomes.

Some additional distinctions between Liam Brown's «law company» and the traditional law firm include: (1) performance and reward structures that value output over input; (2) closer alignment with the financial and enterprise objectives of the consumer; (3) a corporate structure that takes a long - term, client - centric view over profit - per - partner; (4) continuous process improvement; (5) investment in technology; (6) focus on «the right resource for the task»; (6) compressed delivery time; (7) a continuous quest to use technology and process to automate tasks and gather «big data» for benchmarking, predicting, and quantifying risk; (8) a transparent, 24/7/365 accessible connection with legal consumers; (9) supply chain management expertise; and (10) reduced cost.

Many law enforcement officials in the U.S. are using them to predict when and where crimes are likely to occur.

«Although it is too soon to be sure what the exact effect of the judgment will be, we predict the LSC will attempt to use this case, which highlights its unlawful actions, to blame the profession and the Law Society for any changes now required towards ensuring that it does operate within the law,» she saLaw Society for any changes now required towards ensuring that it does operate within the law,» she salaw,» she says.

Today, Ravel Law uses a combination of big (legal) data and lawyer - informed algorithms to help predict what Judge «A» may or may not do in response to particular arguments.

Moore's Law predicts that the number of transistors used on dense integrated circuits will double year on year.

published in March that uses Metcalfe's Law to predict that bitcoin's value could fall by more than a third before the year is out.