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ARM is possibly one of the best-performing companies you’ve never heard of. Its microprocessors are used in over 95% of the world’s smart devices, including iOS and Android smartphones and tablets. Superior technical innovation is at the heart of its strategy and its organizational design. ARM organizes purposefully for innovation by maximizing opportunities for knowledge sharing and collaboration throughout its entire ecosystem comprising thousands of external partners. Its core staff of only 3,500 based mostly in Cambridge (UK) share a singular purpose and set of values that supersede functions, occupations, and roles. There are few barriers to spontaneous collaboration among technical teams.

Best of intentions, but incapable : Companies that score highly on the purpose and strategy alignment scale, but low on the strategy and organization scale, are more or less incapable of implementing their strategy as intended. The performance penalty may be manifest in poor customer attraction and retention, higher-than-expected costs, organizational dysfunctions, or simple financial underperformance.

Best of intentions, but incapable

Like many leading international banks in recent years, Barclays has been subjected to strong criticism of its culture, governance, and risky behavior that contributed to the 2008 financial crisis. A series of scandals, such as foreign exchange fixing, has resulted in it receiving record fines, regulatory scrutiny, and highly negative publicity. A report commissioned by Barclays in 2013 revealed a corporate culture that wasn’t fit for purpose, tending to “favor transactions over relationships, the short term over sustainability, and financial over other business purposes.”It further revealed a complex and siloed organization, with competing operating assumptions, values, and practices across the group. The result was a fertile environment for reckless and risky employee behavior running contrary to the overarching vision and values of the enterprise.

Boldly going nowhere : Businesses that have strong alignment between their strategy and organization, but weak alignment between strategy and purpose are classed as “boldly going nowhere.” In our experience, there are many capable businesses with great people that lack a coherent, overarching purpose that helps guide shifts in strategy. The result is a company that becomes less and less capable over time as customers move on and talented employees depart for new pastures. Kodak is a famous example of a terrifically capable blue chip business brought low by confusion about how best to fulfil its purpose in the digital world. Although they developed digital photographic technology, too many people in the company focused on the core organizational competence of film. Instead of seeing digital cameras as a new way to execute on the organizational purpose of capturing “Kodak moments,” they hewed to their existing, film-centric strategy. That left them out of sync with the changing preferences of consumers for digital media and instant sharing.

This is a tactical idea for passive self-promotion.

Your account needs to appear consistent. Delete off-topic tweets. After a day of no replies or retweets, delete it.

A consistent twitter is resource worth following. When people see that you don’t have thousands of tweets archived, your account looks ordered.

Aim to have fewer tweets archived than your follower count. The lower you can make this ratio, the better.

Think of twitter as a showcase: Only the best stuff should be on display.

If you build a twitter account supporting Trump, you better be a huge Trump supporter. This is true if you build an account about social justice, white supremacy, sales, or art.

You don’t have to be public—two of the most authentic accounts I follow are anonymous. But you must absolutely have to live the life you build your twitter theme around.

You can’t have an account about healthy eating if you’re a fat ass. You’d have more success with fat acceptance account.

Whatever your theme is, you have to live it.

Even if you’re anonymous, your tweets will show authenticity. Authenticity is attractive and powerful because, by definition, it is impossible to fake.

“I am completely transparent in my book and twitter”

Many fresh accounts make this mistake.

They read a tweet or an article that they really like. I know they really like it because they retweet it.

The end. This level of effort is unacceptable.

Anyone can retweet what they see. To inspire engagement, you need to add value to the things you retweet. I like to quote an important line or give a glowing recommendation when I retweet.

Some tweets stand alone and simply require a retweet. I regularly quote the best line from the article before I share it. It works wonders for the article exposure. I’m always trying to help.

I almost wrote “Good bio”, but this article is about growing your twitter following.

A “good bio” is the twitter equivalent of a “nice guy.” No one likes a nice guy.

A “great bio” mentions extraordinary things about yourself. A great bio shows what makes you stand out.

Get creative, keep it within the theme, and be exceptional. Be honest and authentic.

Your bio is great if you think it’d be a great tagline for a resume or a dating profile.

Twitter is a platform that rewards writing skill. GreatShirts Mens Royale Reverse Sneaker iqjK6A0

There’s a reason why so many big accounts have blogs.

It’s not because blogging gives you great content to share. That helps, but the real benefit is that it forces you to exercise your writing muscle.

As long as you are getting better, your ability to put a message in 280 characters will improve.

If you tweet high quality messages,more people will follow you.

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Most of the 's biggest free agents are off the board, but that doesn't mean summertime movement will grind to a halt.In many respects, the league's silly season is just getting started.

Thinned-out free-agent ranks give way to trade speculation. Prospective luxury-tax bills will invite buyouts and salary dumps. Certain teams will be looking to rebound from key losses. Others will try to hang tight in ongoing arms races.

And hey: The free-agency well isn't completely dry. A handful of impact players and tantalizing dice rolls remain up for grabs.

This summer is already weird. Market values have been difficult to peg. The motives for buyers and sellers alike remain in limbo.

Blame the 2016 cap spike, or irresponsible owners and general managers, or even the Golden State Warriors. Weird does not equate to ruined. Nor does it imply an early end to the general absurdity. The offseason has lot of drama yet to give.

Let's script some of our own.

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Clint Capela will probably return to the Houston Rockets. When incumbent teams have the right to match any offer sheets, restricted free agents worth a darn are seldom flight risks.

The Sacramento Kings might as well make life more difficult for the Rockets.

Capela is after " a deal similar to Oklahoma City Thunder big man Steven Adams ' four-year, $100 million contract ," according to ESPN.com's Tim MacMahon . On July 1, Houston offered him a five-year contract worth between $85 and $90 million, per the Houston Chronicle 's Jonathan Feigen .

This highlights the importance of accounting for competing risks in time-to-event analyses, which requires careful consideration of the questions to be answered. These can be broadly classified into 2 categories. An analysis may be conducted to describe the etiologic relationship between risk factors and the outcome. An alternative objective would be to provide an estimate of the risk of the outcome based on the combination of risk factors applicable to a patient. Lau et al Walking Cradles Sandrine Sandal eWw5hah9S
write that questions about etiologic relationships are better served by cause-specific hazard regression models. In contrast, the cumulative incidence function (CIF) is better suited to describe event incidence in the setting of competing risks. Moreover, prediction of the absolute event rate in the setting of competing risks may be better served by a Fine-Gray regression model which allows estimation of the effect of covariates on the CIF. London Brogues Tassel Loafers In V3pRtl
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In this article, we use the example of stroke in the setting of atrial fibrillation (AF) to demonstrate the potential degree of misestimation when failing to account for competing risks. We also show the potential implications for decision-making about primary prevention of stroke using risk models that do not account for competing risks. AF is a pertinent example as an increasingly prevalent disease that frequently affects elderly patients with multiple noncardiovascular morbidities. 12 Among such patients, the occurrence of stroke after AF can be precluded by death from other causes. We aimed to demonstrate the impact of common comorbidities that may increase the risk of death with a less prominent effect on the risk of stroke. We hypothesized that the incidence of stroke is overestimated by the Kaplan–Meier method, and that the degree of overestimation will be higher among patients with a higher incidence of competing risks.

Based on the considerations described above, Cox regression methods may overestimate stroke incidence in AF patients. 9 The CHA 2 DS 2 VASc (congestive heart failure, hypertension, age >75 years, diabetes, stroke, vascular disease, age >65 years, sex category) 5 score is commonly used to guide anticoagulation in patients with AF. Most guidelines recommend anticoagulation for patients with CHA 2 DS 2 VASc scores >0 or 1, 1 , 13 , 14 because the predicted stroke incidence is high enough to make the risk-benefit balance favorable. 6 , Gabor Classic heels antikrosa lOIhMO1UC
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However, risk estimates that ignore competing risks may lead to anticoagulation of patients who do not have a high enough stroke risk to justify the risk, cost, and inconvenience of anticoagulation. We compared the performance of Cox and Fine-Gray regression models at predicting stroke risk using variables that constitute the CHA 2 DS 2 VASc score. We hypothesized that the predicted risk of stroke will be systematically overestimated by prediction models that use Cox regression rather than Fine-Gray regression.

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