Thursday, May 3, 2012

Carrier billing now available for movies, music, and books through Google Play

Google Play

Google has announced that they will begin offering direct carrier billing for movies, music, and books in addition to Android apps in the Google Play store. This means that you can buy just about anything from the Play Store, and have the cost tacked on to your monthly cell phone bill through your carrier. It's not available everywhere, but the list of carriers that support direct billing is pleasantly robust --

  • Germany: T-Mobile, Vodafone
  • Italy: Vodafone
  • Japan: KDDI, Docomo, Softbank
  • Korea: KT, SKT, LGU+
  • Spain: Vodafone
  • UK: T-Mobile, Vodafone
  • US: AT&T, T-Mobile, Sprint

Currently, only KDDI, Docomo, and Softbank in Japan, and T-Mobile in the US allow billing of other media. Other carriers (Sprint was mentioned by name) will be coming on-board soon. This should help users who can't or won't enter credit or debit card information into Google Wallet, and get more media in more phones.

Source: +Google Play, via Androinica



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Who?s The Best Job Candidate? Recmnd.Me Ranks Them For You

recmnd meWhy is everyone trying so hard to reinvent the hiring process? Maybe because referrals and recommendations (still the main way people get jobs) remain incredibly old-school. Sure, there are LinkedIn recommendations, but does anyone trust those? (God, I hope not, since I have zero.) It's really all about phone calls and emails. Now a startup called Recmnd.Me is unveiling a new recommendation and ranking system that might actually help companies find the best candidate for the job.

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Toshiba Excite 10 LE initial walkthrough

Toshiba Excite 10 LE

You want thin, yet fully featured? Then you need to look at the Toshiba Excite 10 LE. It has decent, but not breath-taking specs -- OMAP dual-core 4430 at 1.2GHz, 1GB DDR2 RAM, 10.1-inch IPS display at 1280x800, Android 4.0 and all the ports and slots you'd even want. The screen on the Excite is pretty nice too. I noticed great viewing angles, and it's really nice and bright. Toss in a magnesium back with a modern textured feel, and it's sounding like a nice piece of gear. 

But all that pales when you realize how oh-my-God thin it is. 7.7mm to be exact, or one-tenth of a millimeter thinner that the HTC One S. It's amazing. In fact, when you first pick it up you do a double-take, simply because it is so thin and light (535 grams). It's beyond impressive. 

I'm putting this one through the paces. I use the heck out of a tablet, even though for the longest time I didn't think I would. If it can be broken, I will break it. If it can be crashed, I will crash it. If it performs great, I will love it. Keep an eye out for a full review, but I wanted everyone to have a quick look at the new sexy. Hit the break for a video and some pictures.

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Wednesday, May 2, 2012

What online social networks may know about non-members

ScienceDaily (Apr. 30, 2012) ? What can social networks on the internet know about persons who are friends of members, but have no user profile of their own? Researchers from the Interdisciplinary Center for Scientific Computing of Heidelberg Univer?sity studied this question. Their work shows that through network analytical and machine learning tools the relationships between members and the connection patterns to non-members can be evaluated with regards to non-member relationships. Using simple contact data, it is possible, under certain conditions, to correctly predict that two non-members know each other with approx. 40 percent probability.

For several years scientists have been investigating what conclusions can be drawn from a computational analysis of input data by applying adequate learning and prediction algorithms. In a social network, information not disclosed by a member, such as sexual orientation or political preferences, can be "calculated" with a very high degree of accuracy if enough of his or her friends did provide such information about themselves. "Once confirmed friendships are known, predicting certain unknown properties is no longer that much of a challenge for machine learning," says Prof. Dr. Fred Hamprecht, co-founder of the Heidelberg Collaboratory for Image Pro?cessing (HCI).

Until now, studies of this type were restricted to users of social networks, i.e. persons with a posted user profile who agreed to the given privacy terms. "Non-members, however, have no such agreement. We therefore studied their vulnerability to the automatic generation of so-called shadow profiles," explains Prof. Dr. Katharina Zweig, who until recently worked at the Interdisciplinary Center for Scientific Computing (IWR) of Heidelberg University.

In an online social network, it is possible to infer information about non-members, for instance by using so-called friend-finder applications. When new Facebook members register, they are asked to make available their full list of e-mail contacts, even of those people who are not Facebook members. "This very basic knowledge of who is acquainted with whom in the social network can be tied to information about who users know outside the network. In turn, this association can be used to deduce a substantial portion of relationships between non-members," explains ?gnes Horv?t, who conducts research at the IWR.

To make their calculations, the Heidelberg researchers used a standard procedure of machine learning based on network analytical structural properties. As the data needed for the study was not freely obtainable, the researchers worked with anonymised real-world Facebook friendship networks as a test set of basic data. The partitioning between members and non-members was simulated using a broad possible range of models. These partitions were used to validate the study results. Using standard computers the researchers were able to calculate in just a few days which non-members were most likely friends of each other.

The Heidelberg scientists were astonished that all the simulation methods produced the same qualitative result. "Based on realistic assumptions about the percentage of a population that are members of a social network and the probability with which they will upload their e-mail address books, the calculations enabled us to accurately predict 40 percent of the relationships between non-members." According to Dr. Michael Hanselmann of the HCI, this represents a 20-fold improvement compared to simple guessing.

"Our investigation made clear the potential social networks have for inferring information about non-members. The results are also astonishing because they are based on mere contact data," emphasises Prof. Hamprecht. Many social network platforms, however, have far more data about users, such as age, income, education, or where they live. Using this data, a corresponding technical infrastructure and other structural properties of network analysis, the researchers believe that the prediction accuracy could be significantly improved. "Overall our project illustrates that we as a society have to come to an understanding about the extent to which relational data about persons who did not provide their consent may be used," says Prof. Zweig.

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The above story is reprinted from materials provided by Heidelberg, Universit?t, via AlphaGalileo.

Note: Materials may be edited for content and length. For further information, please contact the source cited above.


Journal Reference:

  1. Em?ke-?gnes Horv?t, Michael Hanselmann, Fred A. Hamprecht, Katharina A. Zweig. One Plus One Makes Three (for Social Networks). PLoS ONE, 2012; 7 (4): e34740 DOI: 10.1371/journal.pone.0034740

Note: If no author is given, the source is cited instead.

Disclaimer: This article is not intended to provide medical advice, diagnosis or treatment. Views expressed here do not necessarily reflect those of ScienceDaily or its staff.

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Tuesday, May 1, 2012

Translationista: Pedagogies of Translation Conference at Barnard

The Center for Translation Studies at Barnard College is hosting a two-day conference about teaching translation this coming Thursday and Friday, organized by Peter Connor and Lawrence Venuti. According to the program, a range of approaches to translation will be represented, from the theoretical to the artistic, along with a comparison of the many different contexts in which translation is taught (certificate, translator training, and MFA programs, as well as foreign language and comparative literature departments). The roster of speakers includes many of the most prominent teachers of translation in the country, along with colleagues from Canada, Ireland and Northern Ireland. I myself will be speaking about the sorts of supplementary materials (theoretical and otherwise) I use in my translation classroom. If you are at all interested in the issues involved in the pedagogy of translation, this is certainly one of the best chances you'll ever have to hear them discussed in depth.

Here's the program:

Friday May 4, 2012

Session 1: 2:00-3:30 p.m.
Translation in the Translator Training Program
1. Luise von Flotow, School of Translation and Interpretation, University of Ottawa
2. Fran?oise Massardier-Kenney, Institute for Applied Linguistics, Kent State University
3. John Balcom, Program in Translation and Interpretation, Monterey Institute for International Studies

Session 2: 3:45-5:15 p.m.
Teaching Translation as Creative Writing
1. Stefania Heim, Creative Writing, Columbia University
2. Peter Filkins, Creative Writing, Bard College
3. Sidney Wade, Department of English, University of Florida at Gainesville

Session 3: 5:30-7:00 p.m.
The Place of Translation Theory, Commentary, and Research
1. Sean Cotter, Center for Translation Studies, University of Texas at Dallas
2. Susan Bernofsky, MFA Program in Creative Writing and Literary Translation, Queens College, CUNY
3. Michael Cronin, School of Applied Language and Intercultural Studies, Dublin City University

Saturday May 5, 2012

Session 1: 9:30-11:00 a.m.
Translation in Foreign Language Departments
1. Catherine Porter, Emerita, Department of Modern Languages, SUNY-Cortland
2. Karen Van Dyck, Program in Hellenic Studies, Columbia University
3. Ronald Meyer, Harriman Institute, Columbia University

Session 2: 11:15 a.m.-12:45 p.m.
Translation in Comparative Literature Departments and Programs
1. Maria Tymoczko, Department of Comparative Literature, University of Massachusetts at Amherst
2. Rosemary Arrojo, Department of Comparative Literature, SUNY-Binghamton
3. Leah Middlebrook, Department of Comparative Literature, University of Oregon

Session 3: 2:30-4:00 p.m.
The Certificate Program
1. David Bellos, Program in Translation and Intercultural Communication, Princeton University
2. Ignacio Infante, Comparative Literature Program, Washington University in St. Louis 3. Emanuelle Ertel, Department of French, New York University

Session 4: 4:15-5:45 p.m.
Where We Are, Where We Might Go: A Roundtable Discussion
1. Russell Valentino, Department of Cinema and Comparative Literature, University of Iowa
2. David Johnston, School of Modern Languages, Queens University, Belfast
3. Natalia Teplova, Department of French Studies, Concordia University, Montreal

All events will be held in the James Room on the 4th floor of Barnard Hall. For more information, see Barnard's Center for Translation Studies website.

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5 Pain-Relieving Yoga Poses | Health & Fitness

Yoga Poses for Joint and Muscle Aches

If you?re looking for an alternative to pills to treat joint pain and other common (and uncomfortable) aches, relief may be a?yoga class?away. A review of 20 years worth of studies conducted by researchers at Duke University Medical Center found that yoga is effective in the treatment of chronic pain, including?osteoarthritis, carpal tunnel syndrome, and?fibromyalgia.

In the studies reviewed, patients saw significant reductions in joint pain, muscle stiffness, and overall physical discomfort while greatly improving their flexibility, range of motion, and muscle strength.

Performed correctly, yoga?s fluid movements allow swollen or otherwise painful joints to glide smoothly over one another, increasing mobility and strength without excess wear and tear, says Cynthia Maltenfort, a?yoga?instructor at Sun and Moon Studios in Virginia. ?Yoga is a safe alternative to weight-bearing exercises that could worsen weak joints because it strengthens the muscles around them, which reduces tension and increases mobility,? she explains.

We asked yoga instructors for their five favorite poses for relieving knee pain,?back pain, and more (talk with your doctor before starting an exercise program and use props such as blocks for support as needed).

?Yoga Poses for Joint and Muscle Aches

Yoga Pose: CobraTry it for: Back pain

Lie face-down, forehead resting on floor. Place hands on either side, at middle of ribcage. Draw legs together, pressing tops of feet into floor. Reach back through toes, lengthening legs, and press evenly through hands as you draw elbows close to ribcage. Using strength of back (not arms), lift head and chest, sliding shoulder blades down back. Take 5 to 10 deep breaths before gently releasing to floor, turning head to one side.

? Lynn Burgess, director of Yoga from the Heart in Sarasota, FL

Yoga Pose: Cobra

Yoga Pose: Supported WarriorTry it for: Knee pain

Stand tall and place hands against a wall at shoulder height. Step right foot forward so toes touch the wall and bend elbows as though you?re trying to push the wall away. Step left foot about 1 to 3 feet behind you, slightly bending left knee toward floor. Hold for 10 to 15 breaths. Slowly straighten left leg while bending right knee, ensuring knee does not extend past ankle. Hold for 10 to 15 breaths before stepping left foot forward to meet right and switching leg positions.

? Rachel Schaeffer, yoga instructor and author of Yoga for Your Spiritual Muscles

Yoga Pose: Supported Warrior

Yoga Pose: Butterfly Try it for: Hip pain

Sitting on blanket on floor, bring soles of feet together, knees wide so legs form a diamond. Keep entire back straight and shoulders relaxed as you breathe and gently drop weight of legs, slowly allowing knees to lower toward floor. For gentler relief, place blocks or pillows beneath outer knees for support.

? Annie Moyer, yoga instructor at Sun and Moon Studios in Virginia

Yoga Pose: Butterfly

Yoga Pose: Rear Arm Lift with StrapTry it for: Shoulder pain

This stretch is also known as ?Standing Yoga Mudra? pose. Stand tall, feet hip-width apart, holding strap in one hand. Sweep both arms behind back and pull shoulders in to grasp strap with both hands in a comfortable position. Walk hands toward each other, creating an opening in chest as shoulder blades move toward one another. Breathe as you adjust shoulders, easing or increasing tension.

? Vandita Kate Marchesiello, director for the Kripalu Yoga Teachers Association (KYTA)

Yoga Pose: Rear Arm Lift with Strap

Yoga Pose: Wall Plank Try it for: Elbow and shoulder pain

Stand facing wall with feet hip-width apart. Place palms against wall, arms extended, and slowly lean forward, letting body rest on hands. Keep arms in and body in a straight line as you slowly bend elbows, inching closer. When nose touches wall (or you feel discomfort), slowly push back to standing.

? Cynthia Maltenfort, yoga instructor at Sun and Moon Studios in Virginia.

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Five things to do this week (Rochester Democrat and Chronicle)

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