Right on target: New era of fast genetic engineering

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A simple, very powerful method is making genome editing much easier and faster prepare for a revolution in biology and medicine

SEQUENCING genomes has become easy. Understanding them remains incredibly hard. While the trickle of sequence information has turned into a raging torrent, our knowledge isn't keeping up. We still have very little understanding of what, if anything, all our DNA does.

This is not a problem that can be solved by computers. Ultimately, there is only one way to be sure what a particular bit of DNA does you have to alter it in real, living cells to see what happens. But genetic engineering is very difficult and expensive.

At least, it used to be. Last month, two groups announced that they had performed a mind-boggling feat. They targeted and disabled nearly every one of our genes in cells growing in a dish. They didn't knock out all the genes in each cell at once, of course, but one gene at a time. That is, they individually modified a staggering 20,000 genes. "It's truly remarkable," says Eric Lander, director of the Broad Institute of MIT and Harvard, who led one of the studies. "This is transformative."

To put it into perspective, in 2007 an international project was launched to target and "knock out" each of the 20,000 genes a mouse possesses. It took the collective effort of numerous labs around the world more than five years to complete, and it cost $100 million. Now two small teams have each done something similar in a fraction of the time and cost. The secret: a simple and powerful new way of editing genomes. The term breakthrough is overused, but this undoubtedly is one. "It's a game-changer," says Feng Zhang, also at the Broad Institute, who led the other study.

The technique, unveiled just a year ago, is generating tremendous excitement as its potential becomes clear. It is already starting to accelerate the pace of research Lander and Zhang used it to find out which genes help cancer cells resist a drug, for instance. In years to come, it is likely to be used in gene therapy, and to create a new generation of genetically engineered organisms with extensive but precise changes to their genomes. And if we ever do decide to genetically modify people, this is the tool to do it with.

While genetic engineers have done some amazing things, their first tools were very crude. They bombarded cells with extra DNA sometimes literally in the hope that it might occasionally get added to a cell's genome. But there was no way to control where in the genome it went, and if added DNA ends up in the wrong place it can cause havoc. Also, this approach does not allow for any tinkering with existing genes, which is the key to finding out what they and their variants do.

So in the past couple of decades the focus has switched to genome editing. To visualise how it works, imagine the genome as a collection of cookbooks written on long scrolls of paper and cared for by blind librarians. The librarians try to repair any damage but because they can't read they are easily tricked.

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Right on target: New era of fast genetic engineering

Talent Development Improves with Data Science

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With employee engagement continuing to trend towards all time lows, regardless of the economy per Gallups measure, talent management is increasingly important to organizations. In another vein, the upcoming IBM Chief HR Officer study found than only 50 percent of organizations, across 342 CHROs representing 18 industries, are using workforce analytics in this manner. The significance of talent has been increasing over the past decade, while it seems, most organizations are still not investing enough in its development.

Talent acquisition and recruiting of new employees is certainly improving with the rise of new approaches to candidate engagement and public social media listening to get a better understanding of candidates all around. Yet, talent management, motivation, and employee retention continues to be the real challenge. After all, every employee is an investment over time from the organizations point of view to develop their understanding of the company culture, operations, methodologies and network. A sense of meaning and purpose regardless of where they lie in the organization, pay grade or job role is what drives engagement.

At the IBM Connect 2014 conference, I came seeking to understand how IBM is applying their knowledge of social networks and behavioral science to this challenge. Their basis in both social network and human resources software research and development puts them at a logical advantage.

On the first day, they unveiled the new IBM Kenexa Talent Suite that combines these two key areas into to provide support for Talent acquisition with recruitment software, social sourcing of talent, and on-boarding development of the hire; Talent optimization of performance appraisals, succession planning, and compensation; Analytics that support both areas; Social networks to increase productivity through peer learning and knowledge discovery; and integration into other HR systems.

It comes at a crucial time harnessing some of the possibilities of both analytics and social graphs. At a mere announcement it is difficult to assess what these data capabilities will look like, or how easy they will be to use for HR staff today. What it suggests is a new role in HR with a basis in data science to be able to work with the substantial data volumes that rise from social interaction. As Alistair Rennie of IBM indicated, Data is the new natural resource but just like oil it has to be refined to be put to real use We need to make those analytics much more accessible to business people.

In my most recent prior article, I suggested some new approaches to applying data science in leadership development. I had written about ways to detect informal leaders in the organization that influence the employee base independent of their position in the hierarchy. Some have said to me directly that there are organizational leaders who prefer not to know or ignore such informal leaders because it challenges the structure of hierarchical leadership. Yet, I think we all have a sense that there are such leaders out there. What we need are better means to detect them. In that article, I described a very basic approach of understanding centrality in the organizational network through Social Network Analysis (SNA), also called Organizational Network Analysis (ONA).

David Millen of Research Scientist at IBM Center for Social Software noted that I should not only talk about centrality, but also valencedoes the person have a positive or negative impact on the network. He suggested looking at energy networks as investigated by Prof Rob Cross of the Univ. of Virginia, and a pioneer of ONA. The concept was simple, map the relationships, and then ask the people if they felt energized or de-energized working with particular other people in their networkthis is done by opinion polling, rather than sentiment analysis of each person. What you end up with is a more accurate view of employees by the energy they give out to others they collaborate with.

Mr. Rennies response focused on the simplification of these techniques into tools that HR business roles could use. The IBM Kenexa Talent Suite is very unique It will sit on top of Watson solutions Make it accessible through natural language query Provide visualization of that data in the right context. Beyond that, you need know what question to ask. IBM points to the study of behavioral science as the catalyst to get to those insights.

The tools may soon be available but first we still need that drive within organizations to transform their HR operations to provide the enterprise social networks that employees need. Such networks also become the source of the data that they can apply to talent management and workforce analytics. It enhances the role of HR with new capabilities that bring it to modern data-based decision-making. While I will stop short of calling it predictive analytics, it certainly goes further to identify the reality of the complex view of your talent growing, supporting, starving or stepping to leave your organization.

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Talent Development Improves with Data Science

Chinese Scientist wins Wiley-IPCAS Psychological Award for analysis of overconfidence

PUBLIC RELEASE DATE:

28-Jan-2014

Contact: Ben Norman sciencenewsroom@wiley.com 44-012-437-70375 Wiley

Beijing, China, January 28, 2014 - John Wiley & Sons, Inc., is pleased to announce that Shu Li from the Chinese Academy of Sciences has won the annual Wiley-IPCAS prize for excellence in Chinese psychological science. The prize, awarded for Li's research into overconfidence, was presented at the opening ceremony of the annual academic conference of the Chinese Psychological Society in Nanjing.

The Wiley-IPCAS prize, valued at $5,000, is awarded by Wiley in partnership with the Institute of Psychology, Chinese Academy of Sciences (IPCAS), China's national psychology research institute.

The prize is awarded to the best article written by Chinese or China-based researchers publishing in PsyCh Journal or Acta Psychologica Sinica each year.

Shu Li, from the Key Laboratory of Behavioral Science at the Institute of Psychology, Chinese Academy of Sciences, published his winning paper in PsyCh Journal, China's first international psychology journal.

Shu Li's research used peer-comparison studies to explore methods for evaluating and understanding overconfidence; defined as a positive difference between confidence and accuracy. The existence of overconfidence remains a controversial issue within psychological research, and a precise method of evaluating it is essential for researchers to validate their findings.

In one of three studies, Li's team analyzed the perceptions of 126 sophomore students from Jilin University. The students were asked to consider their likely exam results compared to their peers and to estimate the percentage of students who would be more successful than them.

These estimations were later compared to the students' actual exam results, to examine how accurate their self-perception had been. The male participants overestimated their ability level by an average of 11.8%.

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Chinese Scientist wins Wiley-IPCAS Psychological Award for analysis of overconfidence

Comets skate to second OT win in row over Abbotsford

ABBOTSFORD, British Columbia The Utica Comets picked up their second straight overtime victory over the Abbotsford Heat on Saturday night as they recorded a 4-3 American Hockey League road triumph.

Following the win, Utica has now won four in a row overall and six consecutive against the Heat to move to 15-20-2-3 overall this season.

Benn Ferriero scored the overtime winner for the second night in a row, this time just 1 minute, 10 seconds into the extra session.

Forward Alexandre Grenier scored two goals for the Comets and Brandon DeFazio also added a goal of his own, and Pascal Pelletier collected two assists in the victory.

Comets netminder Joacim Eriksson made 23 saves on 26 shots, as he won for the eighth time in nine starts.

Ferriero finished off the Heat for the second night in a row with an overtime winner. The winger carried the puck down the right wing and put a twisted wrister past Joey MacDonald to end the game and give Utica the two points. Ferrieros goal tied him with Grenier for the team lead this season with 15. Yann Sauve picked up the lone assist on the play.

Max Reinhart, Brett Olsen, and Markus Granlund scored goals for the hosts, while netminder MacDonald finished with 25 saves in between the pipes.

The Comets return to the Mohawk Valley for a three-game homestand, beginning Tuesday at the Utica Memorial Auditorium against the Lake Erie Monsters.

Utica will also host the Syracuse Crunch on Friday night and the Rockford Ice Hogs on Saturday evening.

All three games are slated to begin at 7 p.m.

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Comets skate to second OT win in row over Abbotsford

How to treat psoriasis effectively – By Franziska Ringpfeil, Board Certified Dermatologist – Video


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Dr. Franziska Ringpfeil specializes in the treatment of psoriasis and offers her services in Philadelphia and the Mainline PA. She talks here about how to re...

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How to treat psoriasis effectively - By Franziska Ringpfeil, Board Certified Dermatologist - Video

Interview: From heartbreak to Oz

Englishman Nick Braund gave up the day job to travel the world, taking in Australia, New Zealand and Fiji amongst others...

Why did you decide to go travelling? I had worked in London for four years and was ready for a prolonged break after a family holiday to the West Coast of America that got my travel impulses racing! I also had recently broken up with a long-term girlfriend and was coming to the end of my flat lease. It was fairly impulsive in so much that I made the decision quickly and then that was it but it was thought through. When I had decided to go, I planned a lot to make sure I did everything I could and wanted to when I was away.

Did you go it alone? Was that daunting?I did go alone and that was one of the best decisions I've ever made. It allowed me the freedom to literally do anything that I wanted to from booking a new flight and changing my schedule at moment's notice to deciding what I wanted for dinner! It was daunting though. My first flight took me to Toronto and I had never travelled alone or even stayed in a hostel. Quickly you realise that you're never alone and there are hundreds of people out there like you who want to do some of the things you want to do and you just do them together.

Did you make friends?Yes and yes I think you have to or risk being isolated. The kitchens were always great places to get chatting and within minutes of arriving in a new place, or country for that matter, you've already made new friends. It's just about being able to say 'hi' to a stranger and being open to people doing the same to you. If you're introverted and don't put the effort it, I'm sure you could stay on your own for a long while...

Where did you travel?Canada, USA, Japan, Thailand, Malaysia, Singapore, Australia, New Zealand, and Fiji.

Why Australia, New Zealand and Fiji in particular?I was never really bothered about Australia to be honest but had heard so many great things that I wanted to go to New Zealand and thought it would be silly not to include Oz as I was so close! NZ was always described as a phenomenal place, with so much to see and do, and it really is. Oz is also very cool though and I'm really glad I decided to go there for two months. Travelling up the coast was amazing and led to be camping on Fraser Island, sailing around the Whitsundays and scuba diving in the Great Barrier Reef all once in a lifetime stuff. Fiji was obvious. I was flying home via LA so knew I would be travelling over Fiji so thought I'd finish my trip with a holiday from a holiday and island hop in paradise. Not exactly a tough decision to take!

And what were your trip highlights?Scuba diving with bull sharks in Fiji, learning to ski in Whistler, Canada, the Thai beach parties, sky diving, bungee jumping, and simply waking up in a completely new country with just a backpack and hopefully some money!

How did you travel?Every mode of transport going - Flights, cars, buses, boats, seaplanes, trains, and even tuk-tuk. You name it, I took it.

Did you research the trip before you left?Yeah I did quite a lot of research before I left the UK and if I took the trip again I wouldn't do so much because the best research you can do is chat to the people you meet in hostels. They will have pretty much done all the "touristy" things already or know someone who has.

What did that research consist of?Internet, chatting with friends and tips from my travel agent.

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Interview: From heartbreak to Oz

Computer Simulation Predicts Seahawks Over Broncos, 24-21

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PHILADELPHIA (CBS) The Seahawks and the Broncos will only play once for the title of Super Bowl champion. The game wont be played on a computer, but on the field. But that doesnt stop people from trying to guess what will happen on the field, with what happens in a computer simulation.

Prediction Machines Predictalator ran a simulation of Sundays Super Bowl 50,000 times, and found that the most likely score has the Seahawks beating the Broncos, 24-21.

Of the 50,000 simulations, the Seahawks won 54.8% of the time, and the Broncos 45.2% of the time.

The Broncos are currently a 2.5 point favorite at most sports books.

Though the Seahawks came out on top more often, the Broncos edged them out in most offensive categories. Notching 331 total yards to Seattles 327, and 229 passing yards to the Seahawks 209. 229 yards however, would be a substantial drop for Peyton Manning during his record-setting season. The Seahawks did have the edge in rushing yards, at 117 to the Broncos 101.

The simulations also predict individual stats. Peyton Manning averaged 241 passing yards, throwing 1.9 touchdowns and 1.1 interceptions.

Since Week 2 of the NFL season, the Predictalators projected Super Bowl every week was Denver vs. Seattle. To add to that, both of these teams were more than 50% likely to make the Super Bowl for all but two weeks in that stretch as well, a feat rarely seen by any team in any week before the playoffs started in the last decade (let alone two teams consistently), Prediction Machines Paul Bessire writes. This is the best Super Bowl we could have this season and it may be the best matchup of NFL teams in the Super Bowl in the leagues history. Not too surprisingly, the spread on this game has stayed below a field goal and has, at times already, favored either team.

For a complete rundown of the simulations, visit Prediction Machine.

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Computer Simulation Predicts Seahawks Over Broncos, 24-21