text:
Trumpcare is the Antithesis of Affordable Healthcare
Stanley Fritz March 17, 2017 September 23, 2017 691
(Image: Flickr.com/notionscapital)
After six years of complaining about President Barack Obama's signature healthcare bill, the Affordable Care Act, the Republican Party has finally got their chance to repeal the bill and create something different. Led by President Donald Trump, the party of Breitbart and Russia rolled out their bill on March 7, but the reception has not been good. Democrats, obviously, hate it, but some Republicans have complained about its structure, even going as far to call it "Obamacare Light." But is it? Has "Agent Orange" and the physical incarnation of mediocre whiteness (the GOP) really created a softer version of Obamacare?Â
Let's examine
Before we go any further, let's get one thing straight: The American Health Care Act ( aka Trumpcare) is not "Obamacare Light." They have only one thing in common, they were both written with the intention to impact health insurance. However, it all goes downhill from there. If Obamacare is a tall glass of Coors Light, Trumpcare is a bottle of horse piss with two tablespoons of racism and a dash of income inequality.
Now let's discuss the policy.
Under Trumpcare, six horrible things would happen:
24 million people would lose their health insurance coverage by 2026.
Insurance companies would be allowed to charge older people higher premiums
Healthcare subsidies would be prioritized for older people, but the amount of assistance you could get from the government would be decreased significantly, capping out at $2,000. That's a nice start, but it's definitely not enough to pay for a $10,000 insurance policy.
The individual mandate under Obamacare would be eliminated. Although this is a component that many Republicans are bragging about, the kicker here is that there is still a penalty for not having insurance. You won't get penalized for not having insurance, but if you go more than 63 days without coverage and then decide to pick up insurance because you get sick, you will be forced to pay 30% more on your premiums. That surcharge will go directly to insurance companies.
Obamacare's Medicaid expansion plan will be eliminated after 2020. This means that people that made too little to purchase their own insurance will have fewer– if any–options when looking for coverage.
The Republican bill slashes state funding for the regular Medicaid program by radically changing the way it is funded. States will be forced to end coverage and eliminate healthcare services for seniors, people with disabilities, children, and working families.
As you can see, Trumpcare is anti-affordable coverage. Everything about it makes it harder and more expensive for poor and working class people to find coverage that won't break the bank and provide the kind of support we need. While Obamacare raised taxes on the top 1%, Trumpcare would be a windfall for the richest people in America. According to the Center on Budget and Policy Priorities, "the top 400 highest-income taxpayers–whose annual incomes average more than $300 million apiece–would receive an average annual tax cut of about $7 million." Meanwhile, people making less than $200,000 wouldn't see a dime from these cuts.
Obamacare was a bill with many flaws, but it accomplished its basic mission by expanding affordable health insurance to the poor and working people. After six years of progress, Donald Trump and the GOP want to decimate the closest thing we have ever had to universal health insurance. The only people that will suffer are the ones they claim to be fighting for.
I recently talked about Trumpcare in depth on my radio show. Take a listen to the podcast below and let me know what you think!
Stanley Fritz is the communications associate at Citizen Action of New York, and the engineer/co-host of "Let Your Voice Be Heard! Radio."
Tune in every Sunday at 11 a.m. EST, or subscribe to the podcast via iTunes.
You can also follow him on Twitter at @StanFritz.
Stanley Fritz
Stanley Fritz is the Communications Associate at Citizen Action of New York, and the Engineer/Co-Host of "Let Your Voice Be Heard! Radio." Since graduating from SUNY Old Westbury in 2010, Stanley has dedicated his life to fighting for progressive issues and standing up for disenfranchised communities through organizing, activism, and storytelling.


Here are the anniversaries, our headline comes from 2003 – the Unbeaten Season.
Arsenal found guilty of raising 20% of its income by illegal means.
The Times' campaign to have professional football stopped.
Arsenal plane involved in near miss on landing.
Arsenal kick the ball out for an injury, Spurs keep it and go on and score. When?
Who played 472 games for Tottenham and 327 games for Arsenal?
The series "Henry Norris at the Arsenal" is now complete.
The index to all the articles can be found at Henry Norris at the Arsenal. The final article just published is Henry Norris at the Arsenal: 1928 to the end.
The centre half plays inside right, the left back plays centre forward. Just another league match.
Fifa manage to write the rules of football down wrongly!
Henry Norris at the Arsenal: 1928 to the end.
There is a link to all the articles in this series on Henry Norris at the Arsenal at the foot of this piece. This article concludes the series. There is a note on what will happen next in the final paragraphs.
Sir Henry Norris leaves Arsenal and the legal disputes wend their way.
A bottle is thrown during a match and hits a policeman and the FA do…. nothing.
"Another suttering performance". A typically bonkers press comment.


text:
In Defense of Michael Dukakis
By Steve Kornacki • 08/23/07 2:43pm
There were some tense minutes for me late yesterday morning. I was just a few hours into my guest editing stint and my efforts to update the site were being met by a strange and stubborn error message. I sent off a panicky email to the few remaining souls at Observer headquarters, convinced that my bumbling incompetence had somehow ruined the Politicker.
But it turned out there was a different explanation: an interview I recently did with Michael Dukakis had been linked by Matt Drudge, and the resulting flood of traffic had ground the site to a halt. I was relieved – and, obviously, pleased that the story was receiving such attention.
Last night, I looked through the comments section for the interview and, again, was flattered by the volume. Still, a couple of themes came up repeatedly, and given the interest in the story, I figured I'd address them.
One point that was made by numerous commenters involved the reference to the Willie Horton ads that were used against Dukakis, an integral part of the devastating Dukakis caricature drawn up by the G.O.P. in the '88 campaign. This was not the central focus of the interview and I made sure to quote Dukakis indicting himself for allowing the caricature to take hold.
Quite a few commenters, though, fixated on one aspect of the Horton affair: that the issue was actually introduced in the '88 Democratic primaries by Al Gore. They suggested that the G.O.P.'s role is overstated and that Dukakis is – 19 years later – whining and playing victim.
I want to make two points about this line of thinking.
One is that I do not believe Dukakis is whining or pointing fingers at the big, bad G.O.P. Ask him about the '88 campaign, and invariably the first words out of his mouth will be "It was my own damn fault" (that's the quote I used) or "If I knew anything about getting elected President, I'd be talking to you in a different capacity." It was only after we got all of the mea culpas out of the way that he discussed the G.O.P. caricaturing. I do not think it's fair to say he doesn't fault himself first and foremost for what happened in the fall of '88.
As for the specifics of the Willie Horton thing, Dukakis mentioned it only in the context of the type of assault next year's Democratic nominee is likely to face from the G.O.P. That Al Gore first raised the issue in '88 is true – but it's also immaterial.
Gore invoked the Horton case – a convicted murderer who used a weekend furlough to escape to Maryland, where he held a couple hostage and raped the woman – in the final, dying days of his own campaign, during a little-watched April '88 debate before the New York primary. Dukakis responded during the debate and the issue went away almost immediately (and so did Gore). Gore did not, as a commenter emphatically claimed, run any television ads on the subject – at that point in his campaign, he probably couldn't have afforded them even if he'd wanted to.
That is a far cry from how the Republicans handled the issue in the fall. Most notorious, of course, was the "independent expenditure" television ad that exploited a menacing image of Horton, a black man, for all of its scare-the-white-suburbanites potential. You may recall that Lee Atwater, the architect of George H.W. Bush's '88 campaign, apologized on his death bed in 1991 for playing racial politics in defeating Dukakis. That is the type of attack politics Dukakis was warning against when I interviewed him. (A much better summary of the differences between what Gore did and what the G.O.P. did can be found here.)
The point here is not to exonerate Michael Dukakis for the Massachusetts furlough program (although I should also note that the program was launched under G.O.P. Governor Frank Sargent and that Dukakis had discontinued it by 1988). It was a legitimate issue to bring up, as Gore did, but the manner in which it was exploited in the fall is an entirely different matter.
I also feel compelled to speak up for Dukakis on a more personal level. I have to say, I was surprised at the level of vitriol in the comments. After all, he pretty much disappeared from the national scene on November 9, 1988.You may not think he should have been President, or even Governor of Massachusetts for that matter. Those are entirely reasonable positions.
But I believe Dukakis has at the least earned a measure of respect even from his opponents. He is 73 years old now. It has been 16 years since he left the governorship. He never tried to cash in as some kind of super-lawyer or lobbyist, as others in his place have done. Instead, he jumped into academia – at Northeastern University in Boston (U.C.L.A. in the winter). And he's not some celebrity professor. Go to his very small, third floor office in the office in the Northeastern political science department (where he arrives hours before anyone else) in the middle of the summer and you'll probably find him talking through course selection with a grad student or two, just another professor doing his job. His phone rang when I was interviewing him. He politely excused himself and answered it himself. From what I could tell, the call was about a local transportation issue involving the Massachusetts Turnpike extension.
I don't know him well, but the Michael Dukakis I have seen is humble, hard-working, utterly civic-minded, and generous with his time. I'm not arguing that he should or shouldn't have been President. But I do wish that, two decades later, more people could see past the Dukakis caricature and see that there is a good man there.
Filed Under: Home, Lifestyle, Politics, Politics Daily, Michael Dukakis
SEE ALSO: How Prince Harry and Meghan Kicked Off Their Trip to New York

redpajama_set_name: RedPajamaCommonCrawl


n. 1. Those who dwell under the same roof and compose a family.
2. A line of ancestory; a race or house.
a. 1. Belonging to the house and family; domestic; as, household furniture; household affairs.
bread made in the house for common use; hence, bread that is not of the finest quality.
(Rom. Antiq.) the gods presiding over the house and family; the Lares and Penates; hence, all objects endeared by association with home.
troops appointed to attend and guard the sovereign or his residence.
Noun 1. household - a social unit living together; "he moved his family to Virginia"; "It was a good Christian household"; "I waited until the whole house was asleep"; "the teacher asked how many people made up his home"


In pre-computer times, engineers, environmental planners and scientists alike relied heavily on detailed topographic maps to do everything from plan projects to survey areas at risk of flooding or landslides.
Based on work she'd done already, the U.S. Geological Survey provided three years' funding to ASU's Wenwen Li to help work towards this goal.
The aim is to develop a methodology that automatically identifies features and their characteristics. For example, we'd not only know the boundary of a lake, but its shape, length, surface elevation and deepest point, and the land form or man-made structures that surround it.
The real-world applications are many.
One example: After a landslide, the tool could be used to automatically extract changes in slope, elevation and shape of the terrain. These characteristics could be compared to those of other landslides, and the cumulative knowledge could assist in identifying other locations at risk for landslides.
Another possible application is in the world of geology, where the new tools and data could support discovery and research of new terrain features both on Earth and other planets.
Imagery gathered by satellites will be a key source of data. In addition, unmanned vehicle technologies such as robotics and drones offer new opportunities to collect previously unavailable data.
The new machine-learning tools, used together with these new data sources, could provide a way to automatically detect, monitor and quantitatively describe the changes of terrain features over time.
In attacking this problem, Li – a professor in the School of Geographical Sciences and Urban Planning – is applying cutting-edge developments in computer science to the geographic realm. "Deep learning" or "deep machine learning" is an artificial intelligence method that tries to mimic how the brain works, in order to give computers powers similar to the human brain.
Deep-learning methods are behind technologies ranging from web search to speech and facial recognition. As the power of computers increases, deep learning can generate inferences in a way that better resembles the way the brain processes. It has potential to transform the process of identifying three-dimensional features as radically as computer-based searches have transformed how we look for text-based information.
"There is no existing solution that is intelligent enough to automatically accomplish this task," Li said.
The School of Geographical Sciences and Urban Planning an academic unit of the College of Liberal Arts and Sciences.


text:
package org.apache.rave.portal.model.impl;

import org.apache.rave.model.OAuthTokenInfo;

public class OAuthTokenInfoImpl implements OAuthTokenInfo {
    private String id;
    private String accessToken;
    private String tokenSecret;
    private String sessionHandle;
    private long tokenExpireMillis;
    private String appUrl;
    private String moduleId;
    private String serviceName;
    private String tokenName;
    private String userId;

    public OAuthTokenInfoImpl() {
    }

    public OAuthTokenInfoImpl(String appUrl, String serviceName,
                              String tokenName, String accessToken, String sessionHandle,
                              String tokenSecret, String userId, long tokenExpireMillis) {
        this.setAccessToken(accessToken);
        this.setAppUrl(appUrl);
        this.setModuleId(MODULE_ID);
        this.setServiceName(serviceName);
        this.setSessionHandle(sessionHandle);
        this.setTokenExpireMillis(tokenExpireMillis);
        this.setTokenName(tokenName);
        this.setTokenSecret(tokenSecret);
        this.setUserId(userId);
    }

    @Override
    public String getId() {
        return id;
    }

    @Override
    public void setId(String id) {
        this.id = id;
    }

    @Override
    public String getAccessToken() {
        return accessToken;
    }

    @Override
    public void setAccessToken(String accessToken) {
        this.accessToken = accessToken;
    }

    @Override
    public String getTokenSecret() {
        return tokenSecret;
    }

    @Override
    public void setTokenSecret(String tokenSecret) {
        this.tokenSecret = tokenSecret;
    }

    @Override
    public String getSessionHandle() {
        return sessionHandle;
    }

    @Override
    public void setSessionHandle(String sessionHandle) {
        this.sessionHandle = sessionHandle;
    }

    @Override
    public long getTokenExpireMillis() {
        return tokenExpireMillis;
    }

    @Override
    public void setTokenExpireMillis(long tokenExpireMillis) {
        this.tokenExpireMillis = tokenExpireMillis;
    }

    @Override
    public String getAppUrl() {
        return appUrl;
    }

    @Override
    public void setAppUrl(String appUrl) {
        this.appUrl = appUrl;
    }

    @Override
    public String getModuleId() {
        return moduleId;
    }

    @Override
    public void setModuleId(String moduleId) {
        this.moduleId = moduleId;
    }

    @Override
    public String getServiceName() {
        return serviceName;
    }

    @Override
    public void setServiceName(String serviceName) {
        this.serviceName = serviceName;
    }

    @Override
    public String getTokenName() {
        return tokenName;
    }

    @Override
    public void setTokenName(String tokenName) {
        this.tokenName = tokenName;
    }

    @Override
    public String getUserId() {
        return userId;
    }

    @Override
    public void setUserId(String userId) {
        this.userId = userId;
    }
}

redpajama_set_name: RedPajamaGithub


Experiments suggest that it does, possibly with unintended side effects.
An odd integer is of the form or . In the first case, is even, while in the second case is odd. So, if is picked randomly from all odd integers of certain size, the probability of being even is . Similarly, for an even , the number can be even or odd with probability .
The graph of stopping time in the stochastic model is, of course random. It looks nothing like the nice pattern of the deterministic process.
For an in-depth investigation, see Lower bounds for the total stopping time of 3X+1 iterates by Applegate and Lagarias.
For the computations, I used Scilab. The function hail(n,m) calculates the stopping times up to given value of n, and takes moving average with window size m (which can be set to 1 for no averaging).
As soon as the result of computations drops below the starting value, the number of remaining steps is fetched from the array that is already computed. This speeds up the process a bit.
The second function follows the stochastic model, for which the aforementioned optimization is not available. This is actually an interesting point: it is conceivable that the stochastic model would be more accurate if it also used the pre-computed stopping time once drops below the starting value. This would change the distribution of stopping times, resulting in wider fluctuations after averaging.


The Brussels Chamber of Commerce (BECI) together with EA Link organized a business seminar: Opportunities for Belgian Enterprises in ASIA on Wednesday, June 14th, 2017 at BECI - Chambre de Commerce et Union des Entreprises de Bruxelles.
This business seminar was in cooperation with Eurocham Myanmar, EU-Indonesia Business Network, EU- Philippine Business Network, ECCIL Laos, China IPR SME Helpdesk, South-East Asia IPR Helpdesk, Eurocham Cambodia, and ECCSL. Each organization had a presentation on how to do business in their countries, presenting each country's potential sectors, and how to tap into these markets.
By the end of the seminar, each organization had a chance to meet with EU companies through individual business consultations. EIBN successfully engaged in general networking and individual business consultations with EU companies interested in expanding their business in Indonesia.


While choosing a new content management system can be a complicated and challenging task, it might be the easier half of the whole story. Actually, it's the implementation where things can really go rough.
justify the investment with a solid business case and a clear path to value. It comes with the territory that your decision will be closely watched and criticized on all sides.
Keep in mind that a content management system is only a set of tools and functions, a mere platform until the implementation turns it into a fully operational system. Often it's best to find an implementation partner to help you guide this process.
Ongoing risk mitigation that actively seeks out issues as you progress should be an integral part of the implementation. Don't wait for things to go wrong before you do something about them.
In practice, there are many ways for this kind of risk identification.
1. Get hands-on early – Pilot different aspects of the CMS user experience for the editorial team by rolling out content authoring functions or testing approval workflows.
2. Seeing is believing – Migrate a selection of content assets to the new system to get a feel for how they are stored, accessed and interlinked. This is particularly useful early on, for both the authors and the implementation team. Nothing compares to having real content in the CMS as it's being implemented.
3. Trial the governance – Set up a range of dummy accounts with different permissions to get comfortable with user administration and content security rules. Early trials will help discussions on who can edit what.
4. Ask probing questions – Conduct regular interviews with different, cross-functional stakeholders – for example, someone from customer experience management and someone from IT – to foresee integration challenges with other systems.
5. See the whole flow – Run end-to-end experiments for individual scenarios, like publishing a blog from the first draft through to multichannel distribution. It will allow you to see all parts of the system in play.
6. Leverage experience – If you're working with an implementation partner, bring their technical team members together with your in-house team to understand how out-of-the-box connectors and APIs meet your needs or learn about best practices for avoiding common implementation issues.
These are just a few examples of effective risk mitigation practices. In general, it is always better to be proactive than to risk nasty surprises and costly reversals later on in the project. They should be an ongoing process throughout the implementation to help constant realigning and make sure you are on target.
Ignoring risks during the CMS implementation phase doesn't necessarily mean you'll run into immediate problems – unfortunately, it is often worse than that. Problems might arise much later that could've been dealt with easily early on, but at this point, they'll give you a serious headache. So de-risking your CMS implementation isn't just about crossing the finish line – it's about ensuring the ongoing health and value of your digital marketing foundation.


This NICE quality standard, published in September 2018, covers the organisation and delivery of emergency and acute medical care in the community and in hospital.
Clinical guidelines on intravenous fluid therapy in adults in hospital, managing medicines in care homes and medicines optimisation, from the National Institute for Health and Care Excellence (NICE).
Ten per cent of patients admitted to hospital as an emergency stay more than two weeks, using 55 per cent of all hospital bed days, and 80 per cent of that group are aged over 65 years. The average age of a hospital inpatient is over 80.
This case study illustrates some best practice solutions to support frail patients, carers and families if admitted to emergency care.


text:
Corangamite Shire ist ein lokales Verwaltungsgebiet (LGA) im australischen Bundesstaat Victoria. Das Gebiet ist 4407,5 km² groß und hat etwa 16.100 Einwohner.

Corangamite liegt an der Südküste Victorias etwa 190 km westlich der Hauptstadt Melbourne und schließt folgende Ortschaften ein: Camperdown, Terang, Cobden, Timboon, Port Campbell, Skipton, Darlington, Derrinallum, Lismore, Lake Corangamite, Glenormiston North, Noorat, Simpson, Princetown und Foxhow. Der Sitz des City Councils befindet sich in der etwa 3000 Einwohner zählenden Stadt Camperdown im Zentrum der LGA.

Das Gebiet des Shires wurde ab Mitte des 19. Jahrhunderts besiedelt und als Weideland für die Viehzucht und die Milchwirtschaft genutzt. Auch heute ist die Landwirtschaft neben dem Tourismus der wichtigste Wirtschaftsfaktor der Region.

Touristisch bietet Corangamite einige Landschaftsattraktionen. Die bekannteste Sehenswürdigkeit der australischen Südküste, die Felsformation der Zwölf Apostel, befindet sich vor der Küste zwischen Port Campbell und Princetown und ist Teil des Port-Campbell-Nationalparks. Die Steilküste in diesem Bereich ist auch als Shipwreck Coast bekannt, weil die gefährlichen Felsen, dichter Nebel und starke Winde im 19. und frühen 20. Jahrhundert zahlreichen Schiffen den Untergang brachte.

In der Nordhälfte des Verwaltungsgebiets befindet sich eine Seenlandschaft, zu der auch über 30 Vulkankraterseen gehören. Lake Corangamite, der Namensgeber an der Ostgrenze des Shires ist der größte natürliche See Victorias. Da er normalerweise keine Verbindung zum Meer hat, ist sein Salzgehalt etwa dreimal so hoch wie der des Meerwassers.

Verwaltung
Der Corangamite Shire Council hat sieben Mitglieder, die von den Bewohnern der fünf Wards gewählt werden. Je ein Councillor kommt aus North, South-West, South-Central und Coastal, drei kommen aus dem Central Ward. Aus dem Kreis der Councillor rekrutiert sich auch der Mayor (Bürgermeister) des Councils.

Weblinks

 Offizielle Seite

Einzelnachweise

redpajama_set_name: RedPajamaWikipedia


text:
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals

from tornado import gen

from tchannel.errors import ValueExpectedError
from tchannel.serializer.thrift import ThriftSerializer

from . import THRIFT

class ThriftArgScheme(object):
    """Semantic params and serialization for Thrift."""

    NAME = THRIFT

    def __init__(self, tchannel):
        self._tchannel = tchannel

    @gen.coroutine
    def __call__(self, request, headers=None, timeout=None,
                 retry_on=None, retry_limit=None):

        if not headers:
            headers = {}

        serializer = ThriftSerializer(request.result_type)
        # serialize
        try:
            headers = serializer.serialize_header(headers=headers)
        except (AttributeError, TypeError):
            raise ValueError(
                'headers must be a map[string]string (a shallow dict'
                ' where keys and values are strings)'
            )

        body = serializer.serialize_body(call_args=request.call_args)
        response = yield self._tchannel.call(
            scheme=self.NAME,
            service=request.service,
            arg1=request.endpoint,
            arg2=headers,
            arg3=body,
            timeout=timeout,
            retry_on=retry_on,
            retry_limit=retry_limit,
            hostport=request.hostport
        )

        # deserialize...
        response.headers = serializer.deserialize_header(
            headers=response.headers
        )
        body = serializer.deserialize_body(body=response.body)
        result_spec = request.result_type.thrift_spec

        # raise application exception, if present
        for exc_spec in result_spec[1:]:
            exc = getattr(body, exc_spec[2])
            if exc is not None:
                raise exc

        # success - non-void
        if len(result_spec) >= 1 and result_spec[0] is not None:

            # value expected, but got none
            # TODO - server side should use this same logic
            if body.success is None:
                raise ValueExpectedError(
                    'Expected a value to be returned for %s, '
                    'but recieved None - only void procedures can'
                    'return None.' % request.endpoint
                )

            response.body = body.success
            raise gen.Return(response)

        # success - void
        else:
            response.body = None
            raise gen.Return(response)

    def register(self, thrift_module, **kwargs):

        return self._tchannel.register(
            scheme=self.NAME,
            endpoint=thrift_module,
            **kwargs
        )


The appropriate acknowledgment line for all our processor brands is, "Celeron, Centrino, Intel, the Intel logo, Intel Atom, Intel Core, Intel Inside, the Intel Inside logo, Intel vPro, Intel Xeon Phi, Itanium, Pentium, and Xeon are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries."
The XYZ 850 system contains a Celeron® processor. The XYZ 850 system contains a Celeron®.