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30-Year-Old Who Was Evicted by Parents Says He's Not a Millennial Because He's Conservative
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30-Year-Old Who Was Evicted by Parents Says He's Not a Millennial Because He's Conservative

They are the most threatening and exciting generation since the baby boomers brought about social revolution, not because they're trying to take over the Establishment but because they're growing up without one. The Industrial Revolution made individuals far more powerful--they could move to a city, start a business, read and form organizations. The information revolution has further empowered individuals by handing them the technology to compete against huge organizations: hackers vs. corporations, bloggers vs. newspapers, terrorists vs. nation-states, YouTube directors vs. studios, app-makers vs. entire industries. Millennials don't need us. That's why we're scared of them.

In the U.S., millennials are the children of baby boomers, who are also known as the Me Generation, who then produced the Me Me Me Generation, whose selfishness technology has only exacerbated. Whereas in the 1950s families displayed a wedding photo, a school photo and maybe a military photo in their homes, the average middle-class American family today walks amid 85 pictures of themselves and their pets. Millennials have come of age in the era of the quantified self, recording their daily steps on FitBit, their whereabouts every hour of every day on PlaceMe and their genetic data on 23 and Me. They have less civic engagement and lower political participation than any previous group. This is a generation that would have made Walt Whitman wonder if maybe they should try singing a song of someone else.

Most conferences are looking for new talent. People get fatigued with the same talks given by the same people, year after year. Conference organizers and committees realize this, so they love it when they have hot new topics submitted to them, and even more so when it’s from somebody new. It’s very rare that the great speakers started out great. They may have been naturally good, but over time they learned to become great. If you want to become better at anything, including speaking, study it and then practice it. The more you learn and the more you do it, the quicker you will progress. There are tons of mini-opportunities to speak out there. Examples include your local optometric society meeting, the nearest optometry school (students love to hear from real-world doctors), an in-office lecture or a lecture at a local school. Simply take what you’re passionate about and contact these groups or institutions. Many conferences have links on their web sites for people to submit courses.

If you are lucky enough to have someone approach you and ask you to give a talk, simply say YES! and thank them. Figure the rest out later! You will be fine. Don’t let your nerves block your opportunity, as another may not come. Opportunity is funny like that…the more you say yes to things, the more opportunities seem to come.

I love when people tell me they took what I presented and used it to help them achieve their goals. Also, the act of developing the presentation is fun for me. There is a creative aspect that is immensely enjoyable for me. Giving presentations is fun and something I look forward to doing. For me, the more I research and present on a topic, the more of an expert I become on it. So, each speaking opportunity is also a learning experience for me.

I have taken staff members to conferences and events. I bring opticians, optometrists and support staff to events and conferences. It’s always best when the event is paid for by an industry sponsor or it’s in your backyard, which minimizes travel expenses. However, I have no issues sending a person out of town on my dime if they explain to me why it’s a must and what they plan on learning.For example, my associate doctor will be attending the JEWELLERY Necklaces Pennyblack HI0MBv0Ya
meeting, which she loves and always learns from. It inspires her and fuels her passion for vision therapy. If I wanted to put a dollar figure on what she gains from this conference, I can track the development of her vision therapy and pediatric vision bookings and revenue. I’m expecting, and will be looking for, positive trends in those areas.

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The good ideas won’t leave you alone. They turn themselves into reality without any major motivation. Sometimes you need clarification on them, so I have learned that if they are coming from a new friend, to get their contact information on the spot. Most of the time it’s “let me add you on Facebook right now so we can keep in touch” or “I’ll shoot you an e-mail right now so you have my contact info.” If my thumbs aren’t in great shape, I will often just take a picture of their business card and e-mail them at a later time.

Within this object model, accesses to anything in the cell itself are atomic by default, just like accesses to objects in Java are atomic by default. This is a big deal, since our optimizer is generally successful at putting the most important object fields inline in the cell. Concurrent JS programs that mostly rely on data that ends up inside the cell will experience almost no overhead versus their serial equivalents.

Additionally, if we know that the butterfly won’t be reallocated ever again (i.e. the butterfly pointer is immutable), then we can access it directly without any problems. Those accesses will be atomic by default.

Alternatively, if we know that only the current thread will ever resize the butterfly and all other threads will only read it, then accesses to the butterfly will be atomic by default.

Problems happen when one thread attempts to transition the object (i.e. add a property and/or reconfigure the butterfly) while some other thread is writing to it (or also transitioning it). If we used our current implementation of object accesses in a concurrent setting, a transition on one thread could cause races that lead to behavior that does not conform to our proposed specification.

In the next section we show how to create an object model that has no such races, but comes with some cost. After that, we show how to use TTL inference to use our existing object model most of the time even in programs that share objects between threads.

Transitioning an object means allocating a new butterfly, and copying the contents of the old butterfly into the new one while other threads may be reading or writing the old butterfly. We want the copy to seem as if it had happened in one atomic step. Lots of research has gone into supporting concurrent copying of objects in the context of real-time garbage collectors. The approach that we propose to use is based on the Schism real-time garbage collector ‘s arraylet object model. This section reviews the Schism arraylet object model and then shows how it can be used for butterfly transitions.

Schism was trying to solve the problem of implementing a copying garbage collector whose copying phase was completely concurrent to the application. It was based on the observation that copying an object concurrently to other threads accessing the object is easy if the object is immutable. It’s only hard if the object can be written to by the other threads. Schism solves the problem of copying mutable objects concurrently by boxing the mutable state in small fixed-size fragments (32 bytes in the paper). The object that gets copied is the spine that serves as an index for finding fragments. All object accesses use an extra indirection to find the fragment that contains the data being accessed. Spines are immutable objects because the fragments they point to never move.

WebKit already uses something like arraylets as well, in the WTF::SegmentedVector class template. We use it to prevent having to move C++ objects when the vector resizes. We also use it for implementing the JSGlobalObject ‘s variable storage (for var statements in global scope). The term arraylets is due to Bacon, Cheng, and Rajan , who used them to control fragmentation in the Metronome garbage collector. Lots of arraylet research shows that the extra indirection has a high cost ( often 10% or more ). That is, if you double the cost of each array access by adding an extra indirection, then you will increase the total run time of the program by 10%.

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