#BoardOfDirectors The Broad Names Four to its Board of Directors – Hollywood Reporter http://bit.ly/2xgqiXD
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Showing posts with label 2017 at 10:09AM. Show all posts
Showing posts with label 2017 at 10:09AM. Show all posts
Thursday, September 21, 2017
#BoardOfDirectors The Broad Names Four to its Board of Directors – Hollywood Reporter http://bit.ly/2xgqiXD
Friday, June 30, 2017
We Ignore Individuality in Workplace Change. That’s Our First Mistake – TalentCulture
200) && (this.width >= this.height) ? 200: true); max-height: 200px; height: expression((this.height > 200) && (this.height >= this.width) ? 200: true); border: none;’/>I’ve been told that I’m not the best role model concerning change. To be brutally candid, I agree with the characterization. I tend to balk at the mere whiff of a change — holding on to hope that it won’t come to pass. (Then adjusting my course will not be necessary.) Honestly, it’s a problem. I do come around. However, I need to go through the paces in my own way. As you may have read in this post, many of us can struggle with even the smallest of changes — muddling along until the “new normal. show all text
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@soul2work: We Ignore Individuality in Workplace Change. That’s Our First Mistake goo.gl/72ekF6 via @MeghanMBiro
@MattMonge: We Ignore Individuality in Workplace Change. That’s Our First Mistake goo.gl/72ekF6 via @MeghanMBiro
@JesseLynStoner: We Ignore Individuality in Workplace Change. That’s Our First Mistake – goo.gl/72ekF6 by @MRGottschalk via @TalentCulture
@justcoachit: We Ignore Individuality in Workplace Change. That’s Our First Mistake goo.gl/72ekF6 via @MeghanMBiro
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Vía All News on ‘The Twitter Times: Muzaffar69/corpgov’ http://ift.tt/2u1UdOT
Friday, June 23, 2017
CorpGov Today
200) && (this.width >= this.height) ? 200: true); max-height: 200px; height: expression((this.height > 200) && (this.height >= this.width) ? 200: true); border: none;’/>http://www.nytimes.com “I love Uber more than anything in the world and at this difficult moment in my personal life I have accepted the investors request to step aside so that Uber can go back to building rather than be…
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@WholeBoardDev: The latest CorpGov Today! http://ift.tt/1yMI3CB; Thanks to @Rgmarcos25 @jko4w #corpgov #boardofdirectors
@ToGovern: The latest CorpGov Today! http://ift.tt/1yMI3CB; Thanks to @Rgmarcos25 @jko4w #corpgov #boardofdirectors
@nminow: The latest CorpGov Today! http://ift.tt/1yMI3CB; Thanks to @Rgmarcos25 @jko4w #corpgov #boardofdirectors
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Monday, June 12, 2017
Markets to focus on Fed rates action, domestic macro data
http://ift.tt/2r9qsd2
June 12, 2017 at 10:04AM
from Nasrin Sultana
Headwinds/Tailwinds Asymmetry, Gratitude, and Relationship Advice
Freakonomics Radio has a podcast called Why Is My Life So Hard? where they talked with Tom Gilovich of Cornell and Shai Davidai of the New School for Social Research about the concept of headwinds/tailwinds asymmetry:
Most of us feel we face more headwinds and obstacles than everyone else — which breeds resentment. We also undervalue the tailwinds that help us — which leaves us ungrateful and unhappy. How can we avoid this trap?
Here’s a more specific example:
GILOVICH: The idea should be familiar to anyone who cycles or runs for exercise. Sometimes you’re running or cycling into the wind, and it’s not pleasant. You’re aware of it the whole time. It’s retarding your progress and you can’t wait until the course changes so that you get the wind at your back. And when that happens you’re grateful for about a minute. And very quickly, you no longer notice the wind at your back that’s helping push you along. And what’s true when it comes to running or cycling is true of life generally.
This psychological bias relates to all kinds of things in life, including why you think your parents were easier on your siblings than you or why everyone thinks their sports team is always treated unfairly.
Personally, this reminded me of some relationship advice that I was given years ago. Here’s are the basic observations:
- You are accurately aware of every single good thing you do for your spouse or partner.
- You are not going to notice every single good thing your spouse/partner does for you.
Simple logic leaves you with the following conclusion:
Your goal should be to feel like you are giving more than you receive. Even if in reality both of you are doing equal numbers of good things for each other, you should still feel like you are doing a bit more because you missed things. Alternatively, if you don’t feel like you are giving at least a bit more than you are receiving, then you probably aren’t doing enough. This concept could also be applied somewhat to professional work relationships.
A similar idea is that when you visit a or national park or campground, try to leave it cleaner than you arrived. You might have left some bit of garbage that you didn’t even notice.
Headwinds/Tailwinds Asymmetry, Gratitude, and Relationship Advice from My Money Blog.
© MyMoneyBlog.com, 2017.
June 12, 2017 at 10:04AM
from Jonathan Ping
Sunday, June 11, 2017
Doubts over Theresa May’s grip on power as DUP talks continue
June 11, 2017 at 10:02AM
from Press Association
Monday, June 5, 2017
Tunisia premier warns no one safe in anti-graft ‘war’
TUNIS: Tunisian Prime Minister Youssef Chahed was reported on Sunday as saying no one in the North African country involved in corruption would emerge unscathed in his government’s “war” on graft.
June 05, 2017 at 09:59AM
from Anti-Corruption Digest
‘Arab Spring’ In Vain: Tunisia And Egypt Remain Corrupt
A popular uprising that began in Tunisia and Egypt seven years ago, calling for an end to corruption and the creation of economic opportunities, has yet to achieve these goals.
June 05, 2017 at 09:59AM
from Anti-Corruption Digest
Syrians in Egypt demand clearer work regulations
Now employed as a shift manager at the popular and bustling Syrian restaurant “Rosto” in 6th of October City, a satellite suburb to the west of Cairo, Abu Abada works up to 14 hours a day and often still doesn’t scrape together enough to pay rent and the rest of his expenses, which he points out have almost doubled since Egypt devalued its currency in November 2016.
June 05, 2017 at 09:59AM
from Anti-Corruption Digest
Sunday, June 4, 2017
Prediction of synergistic anti-cancer drug combinations based on drug target network and drug induced gene expression profiles
Publication date: Available online 3 June 2017
Source:Artificial Intelligence in Medicine
Author(s): Xiangyi Li, Yingjie Xu, Hui Cui, Tao Huang, Disong Wang, Baofeng Lian, Wei Li, Guangrong Qin, Lanming Chen, Lu Xie
ObjectiveSynergistic drug combinations are promising therapies for cancer treatment. However, effective prediction of synergistic drug combinations is quite challenging as mechanisms of drug synergism are still unclear. Various features such as drug response, and target networks may contribute to prediction of synergistic drug combinations. In this study, we aimed to construct a computational model to predict synergistic drug combinations.MethodsWe designed drug physicochemical features and network features, including drug chemical structure similarity, target distance in protein–protein network and targeted pathway similarity. At the same time, we designed fifteen pharmacogenomics features using drug treated gene expression profiles based on the background of cancer-related biology network. Based on these eighteen features, we built a prediction model for Synergistic Drug combination using Random forest algorithm (SyDRa).ResultsOur model achieved a quite good performance with AUC value of 0.89 and Out-of-bag estimate error rate of 0.15 in training dataset. Using the random anti-cancer drug combinations which have transcriptional profile data in the Connectivity Map dataset as the testing dataset, we identified 28 potentially synergistic drug combinations, three out of which had been reported to be effective drug combinations by literatures.ConclusionsWe studied eighteen features for drug combinations and built a computational model using random forest algorithm. The model was evaluated using an independent test dataset. Our model provides an efficient strategy to identify potentially synergistic drug combinations for cancer and may help reduce the search space for high-throughput synergistic drug combinations screening.
June 04, 2017 at 08:58AM
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