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If you’ve come here for a short list of the best fonts for t-shirt designs, I have bad news for you. There is no such thing as a “best font.” Every typeface has its time and place: they all serve to add meaningand interest to your text. Each font is appropriate for a certain use. Many designers and brands have their own preferred list of “go-to” fonts, it’s a part of their house style. There are some benefits to this approach, mostly because it gives a recognizable and signature look, but it also saves timelooking for new and different fonts!

However, relying on the same few fonts over and over is risky. You may rapidly find yourself falling into the trap of being too predictable. Before long, your designs will start to feel stale and the public will recognize that. Different styles come into fashion and go out of fashion all the time, so a serious designer has to be aware of the trends, but they also have to keep exploring new styles to avoid getting stale.

In fact, every new design project has its own requirements and deserves to stand on its own. Even if the design you are working on is a part of a series. You always have to bring some fresh elements.

To stay up-to-date with typeface trends, or just to get an idea of what’s popular right now, check out these resources:

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Graphic Design Junction: 50 Best Free Fonts for 2017

IM Creator: Free Fresh Fonts 2017

The Design Range: 10 of the Most Prominent Typography Trends in 2017

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Choosing the right font for your design takes some exploration.

First, you have to explore the message you’re trying to get across. You have to grasp more than the words you are trying to convey. What is the emotional impact you’re looking for? What is the appropriate “voice”?

Your design has one job – to get this message and emotion across to the individual. Good designs succeed, and bad ones fail.

Only when you understand what you are trying to achieve can you choose an appropriate font. Luckily, you don’t have to know the complete history of each font to work out if it’s right for your design, you can use your own judgment and taste. Of course, judgment and taste are skills and just like any other skill, they improve with practice.

The best way to develop your taste and judgment for fonts is to experiment with different choices. Choosing a font is just one part of the design process, you’ll still have to experiment with different combinations, layouts andpairings. Computers make it very easy to try out thousands of different variations quickly. You can drag your text around, change the layout, scale it up and down, and change the font. Keep experimenting, and save each variation you like.

Design a few options and then come back later and review them with fresh eyes. You’ll be able to see more clearly which ones work and which don’t when you step away and forget about them for a bit. Combining fonts is a very powerful way to strengthen your message, but remember – a little goes a long way. Combining too many fonts in a single design is a great recipe for confusion. Good designs are not confusing. They may appear chaotic, but there is always a method behind the madness. Your task is to find the right balance that works with the message you’re trying to convey.

We deployed harness-mounted GPS/GSM tracking devices (hereafter tracking units) on 9 juvenile North Island kaka Nestor meridionalis septentrionalis at Zealandia in April 2012. We deployed the tracking units on members of the same cohort from the 2011/2012 breeding season, and all units were removed by early September 2012. Tracking units were developed by the Department of Physics at the University of Otago and consisted of carbon fiber enclosures to house a GPS/GSM receiver, braided stainless steel antenna, and a VHF transmitter externally attached. We used eight harness-mounted battery powered tracking units and one experimental solar-powered version. The weight of the units including the harness was 20.5 and 22 g, respectively. We programmed GPS devices to collect locations every 7 hours for the battery-powered units and every 2 hours for the solar-powered unit. Preliminary stationary tests showed root mean square (RMS) location error of ± 4.7 m under clear-sky-view environment, ± 7.6 m in residential areas, ± 12.1 m in open forest and ± 15.5 m in dense forest/bush. Fix success rate in stationary tests was 100% in all the open environments, but in dense forest/bush this decreased to 95%. Tests of moving devices indicated a maximum error of 5 m from the actual location.

We captured kaka at 2 feeders inside the sanctuary, and incidentally at a residential address beyond the fence, by transforming into a cage the feeding posts normally used for supplementary feeding. Supplementary food consisted of sugar-water, commercially-prepared parrot pellets and nectivore mix (Kerry and Linklater 2013). As the Zealandia kaka have experienced only minimal handling, they readily entered cages. After capture, we transferred birds to a room in the sanctuary buildings for visual inspection, deployment of tracking units, and tagging for individual identification. We held all birds overnight and inspected them in the morning to ensure a correct fit of tracking units before release.

We retrieved the tracking units using the same capture procedure; the birds were more wary of the cage even 4 months after their initial tagging experience. After data retrieval, we did not apply any filter to remove expected inaccurate locations based, for example, on the dilution of precision values (DOP, e.g., horizontal dilution of precision (HDOP)) or unrealistic animal movements ( Björneras et al. 2010 ; Recio et al. 2013 , 2014 ; Adams et al. 2014 ). This was because the former filter has been shown to remove both accurate and inaccurate positions ( Recio et al. 2011 ), whereas for the latter the 7-hour interval between locations did not reveal any step length or turning angle that could not plausibly be executed by kaka during that time period. Hence, we considered all the locations to be suitable for the resource selection analyses at the spatial scale considered.

We estimated individual kaka home ranges using the non-parametric kernel method based on an adaptive Local Nearest-neighbor Convex Hull ( a -LoCoH), suitable for large location datasets such as those collected using GPS devices and able to identify hard boundaries of the home range ( Getz et al. 2007 ). The a -LoCoH considers the most suitable a value as being the longest distance between any 2 points in the sample. We calculated this distance for each individual kaka and used this as the a value ( Getz et al. 2007 ). The LoCoH method estimates discrete hulls or isopleths representing utilization distributions (UD) within the home range ( Getz et al. 2007 ), wherein smaller hulls are constructed around high-use areas, that is, the most intensively used sectors where the animal preferentially establishes activities ( Bingham and Noon 1997 ). We calculated the 100%, 95%, and 50% isopleths (UD 100 , UD 95 , UD 50 ), the last as a representation of high-use areas. Identification of high-use areas indicates site fidelity related to specific behaviors such as feeding, breeding, or resting ( Börger et al. 2008 )

Therefore is Wave also a gamechanger, because it will push on the development of better browsers.

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said:

My biggest concern about Wave is answering the question: "What does it do?" The answer I saw was: "Everything!"

Reply
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said:

Basically an all in one tool, its nothing new. People are going to make mistakes with the complexity of the posting not allow this one allow that one, I just posted that to my boss… Great work collaborating now everyone knows your business . I would really like to see the policy on this project.

I may be the only one that likes simplicity like posting on my blog and viewing the control panel why wouldn't you want to. Twitter is good enough for me if I want to post open source, google is becoming the company of "I can do it too and its free" Its not going to benefit anything or anyone really. Companies can't run like that forever, they know that.

Tell you the truth the internet is a very, very boring place.

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on June 4, 2009 at 2:47 pm said:

I started watching the video intending to stop after 5 minutes or so – but I just couldn't stop. It was all so interesting! I can't wait for wave technology – in fact, I emailed a few of my future coworkers (in the middle of a job change) and some close friends and told them to go sign up right away – because I know that the technology with be that much more fun and useful if I have people to use it with. And I know that I'm likely to be really annoyed/frustrated at people/companies who will be slow to adopt it.

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on June 4, 2009 at 1:18 pm said:

There is an underlying opportunity that may come as a result of the mass adoption of Wave, sneaky standards that are common place today such as chronic misuse of the BCC function will be hopefully be a thing of the past. The human race in general is sneaky, untrusting and often avoids accountability. Wave appears to naturally removes a lot of these ugly characteristics that have been bred by such a protocol that naturally breeds distrust, accountability and sneakiness. Check out my article on Google Wave at http://tech2bus.wordpress.com/2009/06/03/google-w… It is my first blog post so if you check it out, please leave some feedback. Cheers

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WATCH Are recent terrifyingly turbulent flights part of an increasing pattern of rougher skies?
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Climate change may cause nearly three times as much clear-air turbulence as current conditions by the period between 2050 and 2080, according to a study released today.

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Flights over the north Atlantic may experience as much as 180 percent more severe turbulence, or in-flight bumpiness stronger than gravity and able to shake passengers in a plane’s cabin, according to the study , published in the Geophysical Research Letters journal. Flights over North America may experience an additional 110 percent, and flights over Europe up to 160 percent more.

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