Sentences with phrase «such learned figures»

What I found by examining a millennium and a half worth of history in the Latin West and Early Modern period — involving such learned figures as Jerome, Augustine, Benedict, Cassiodorus, Bede, Alcuin, Anselm, Hildegard of Bingen, Galileo, Newton, Locke — was that the learned properties in question involved, if not consistently, a set of properties and rights that could be said to be formative in later thinking about intellectual property.

Is it conceivable that such learned figures such as Attenborough and Schellnhuber didn't know of the existence of this form of idea — of spending around $ 15bn a year on energy R&D?

Not exact matches

By launching many such pilot projects you both hedge your bets and create a myriad of small learning experiences for yourself, which helps you course correct and figure out what you really want and the right path to get you there.

Tech vendors like Silent Circle, Zimperium and several others are adding machine learning to mobile security systems and figuring out smarter ways to integrate such systems into network security platforms.

In regards to your comment «the fact that you even know about Euhemerus is a product of Christian learning and appreciation of alternate views», we should, indeed, be thankful for early Christian monks who helped preserve the knowledge of prior centuries, but perhaps you are unaware of the contribution of Greek civilization to Western culture and the «Age of Enlightenment» in late 17th century Europe with figures such as Denis Diderot, Jean le Rond d'Alembert, Voltaire, Baruch Spinoza, etc..

It is better because the explicit teachers of error, in our own time, are not very impressive figures, whereas those renowned for their learning and wisdom — people such as Cardinal Caffarra, Bishop Schneider, Fr.

It was such an amazing opportunity and experience, and it was definitely nerve wrecking (I stuttered / jumbled up my words about a million times) but I figured it out in the end and I learned so much.

Using a training set of images of people from the Web, the machine learning algorithms mastered identifying a human figure and nine anatomical sections, such as torso, upper left arm or lower right leg.

Cougar women have learned that there is no such thing as a perfect man and they will have patience with you and will gladly point out if you are doing something wrong instead of sulking and letting you figure it out for yourself.

The way she holds a spoon as she eats cereal with such white - knuckled intensity you'd think it was her last meal; the angle of her jaw when she steps onto the ice, facing judges she knows loathe the transparency of her working - class background; and the tender hurt in her eyes when she confronts a judge in the parking lot about her score, and learns that no matter her skill, her inability to live up to the proper, soft standard for women in figure skating would bar her from the adoration she yearned for.

This nontraditional way of learning can be as easy as doing a geometric scavenger hunt: Take students outside and give them a list of geometric shapes as well as figures such as parallel, perpendicular, and intersecting lines.

The playlist includes: • 7 links to instructional videos or texts • 2 links to practice quizzes or activities • Definitions of key terms, such as cross-section and plane • Visual examples of three - dimensional figures • An example illustrating the parts of a three - dimensional figure Accompanying Teaching Notes include: • A review of key terminology • Links to additional practice quizzes or activities on certain parts of the standard, such as slicing three - dimensional figures • Links to video tutorials for students struggling with certain parts of the standard, such as determining the intersection of a solid and a plane For more teaching and learning resources on standard 7.

Students learn such skills as reading a menu, figuring food costs, making change, finding how much more money is needed to purchase an item, computing how much money is left over after making a purchase, and totaling receipts.

It's important for the organization to clearly define the desired outcomes, such as learning objectives that can help improve customer satisfaction scores or annual sales figures.

The creation of such support systems takes time and skill, and it requires organizational learning to figure out what works well.

They employ complex algorithms to figure out how much teachers contribute to their students» learning, holding constant factors such as demographics.

«Latest figures show entries to STEM A-levels have increased by 13 per cent since 2010 and are we introducing a range of programmes such as Science Learning Partnerships and Maths Hubs to increase participation.

I tend to be suspicious of «developmentally inappropriate» arguments because 1) kids might be at different points developmentally and 2) any particular learning goal might appear developmentally inappropriate right up until the moment it doesn't (i.e., when we figure out kids can handle it if presented in such - and - such a way.)

Notice that this figure conveys conversational spaces that can be public and social, where conventional knowledge can be introduced and explained, as well as private and individual (such as occurs when students read independently or record their thoughts in reading logs, appropriating and transforming what they have learned).

Figure I'll learn a lot about marketing at such events.

If such well - regarded figures as Rahiv Sethie believe that market timing could work, why aren't we all engaged in an effort to learn for sure whether it does or not?

Of course, the fact FAST only shelled out around $ 20 million (mostly in shares) for the bulk of those billions, and sports a market cap that's only triple that figure, tells you something about the true (discounted) value of such resources... Have the muppets learned a lesson here?

The information in this tutorial is a synthesis of what I learned from books, what I learned from accounting standards such as SSAP 20, and what I figured out by myself.

It also shows rarity, and i figured the platinum would probably be very rare with such a steep learning curve.

Much less challenging, and high profile, is the need, in a world heading toward nine billion people, to figure out how to make everything that's been learned about drought, floods, and other climate - related risks useful to the majority of the human population — people in Niger and Bangladesh who face such risks every day right now, with or without whatever climate destabilization is coming from the ongoing buildup of greenhouse gases.

But if you typically turn off the lights around 8AM before you head off to work, or adjust the thermostat before you get home from work and such, Alexa could use machine learning to figure these things out and either do it for you, or ask if you want these things done for you.

As can be seen from Figure 1, this model of motivational and behavioral change combines aspects of several theories, such as Bandura's Social Learning Theory (Bandura et al., 1977), the Theory of Planned Behavior (Ajzen, 1991), the Health Belief Model (Janz and Becker, 1984) and the Transtheoretical Model (Prochaska et al., 1992).

@Brandon Turner... I was laying on the couch with my 2 year old daughter today, flipping channels and we stumbled upon a really, really cheesy Christian learning show (why do they all have such terrible production value and acting) and they turned on a radio with a poorly dubbed song that was supposed to be playing from it... I'm so used to hearing the podcast theme song in the car that at first I couldn't figure out why it was so very familiar, then I realized, they were playing the BiggerPockets theme song.