text:
The Animators
Whitaker, Kayla Rae
"In their first year of college, two young women, one from a Florida swamp, the other from a Kentucky holler, both outsiders at their prestigious east coast college, meet in "Introduction to Sketch" and become instant best friends. A decade later, Mel and Sharon's lives remain intertwined, but so much else has changed. Now a semi-famous New York filmmaking duo, they draw upon their own pasts to make intimate animated movies, a process that has left their personal lives--including their friendship--in tatters. When tragedy strikes, Mel and Sharon must return to their home states to confront long-buried secrets and try to restore damaged relationships with their families, lovers, and each other" -- Provided by publisher
Publisher: New York : Random House, [2016]
Read more reviews of The Animators at iDreamBooks.com
m0mmyl00 Apr 24, 2018
In my mind, The Animators is in the same genre as The Boys in the Boat, H is for Hawk, and Barbarian Days. That is, it explores a consuming calling in the characters' life, and that calling is wholly outside of my field of knowledge or interest. In The Boys in the Boat, the calling was crew; in H is for Hawk, it was falconry; in Barbarian Days, surfing; in The Animators, animated film. These books didn't result in my taking up any of those pursuits, but they did remind me of my respect and admiration for the people who devote themselves so deeply to whatever it is they choose to pursue.
The Animators is the only one that is fiction. The story is interesting, the characters are real and they grow, but the facet of this book that pushed me across the line between four and five stars was the intense and intimate depiction of their creative process in developing their animated films. Mel and Sharon were misfits in college, from disadvantaged and difficult backgrounds now in an Ivy League school, who found each other and became friends and artistic/business partners. They unearthed their own and each other's most deeply buried events and feelings about their growing-up years and put them into their films (to critical and public acclaim). They were relentless in their demand for honesty in their work; every nuance had to be right and feel true.
Everyone knows that high achievement in anything is preceded by hard work; The Animators is a reminder of that and demonstrates what hard work looks like, what it demands of you. This is probably not what the author had in mind for her readers to get from her book, but I found it inspiring as well as interesting, and a worthwhile read.
exie3 May 28, 2017
Loved this book for the plot and action between the two main characters-
lindab1111 Apr 29, 2017
Great first novel. Whitaker is an author to watch.
KateHillier Mar 28, 2017
Mel and Sharon have been animation partners since meeting in college. Mel is wild and crazy and seems to have all the ideas while Sharon is the one who makes sure that the project actually gets finished. They're riding the wave of their first major success when Mel gets some devastating new and Sharon is sidelined by an unforeseen curveball. I'm trying very badly not to give those things away.
Sharon is already questioning her own value to the partnership when these things happen, and a trip to her home state of Kentucky with Mel in tow seems primed to be a hilarious and awkward comedy but it's really just painful. Mel's childhood is not happy but Sharon's isn't super happy either.
It's really a great book until the middle, and then the Big Thing happens and it honestly sort of peters out from there. It may have been a bit more compelling had the big event happened earlier and we had some room to build up into something. Or if that Big Event was something else entirely.
Didn't love it. Didn't hate it.
MGBustillo Mar 24, 2017
A whirlwind story of two women bound by art and a lifetime of friendship tragically cut short. Two misfits who find a kindred spirit and passion for animation/cartoons/movies.
Female Friendship — Fiction
Women Animators — Fiction
Women Motion Picture Producers and Directors — Fiction
Life Change Events — Fiction
Women Animators
Women Motion Picture Producers and Directors


The National Transportation Safety Board has sent an investigator to the scene of the Friday the 13th, 2006, runway overrun of a Gulfstream G-II (N113AR) at Burbank-Glendale-Pasadena Airport, Burbank, California.
The aircraft, carrying five passengers and two crewmembers, overran runway eight and was stopped by an Engineered Materials Arresting System (EMAS). There were no injuries to those onboard and minor damage to the aircraft.
The Safety Board will retrieve the airplane's cockpit voice recorder, gather radar data, and evaluate the performance of the EMAS system during this incident.
According to the NTSB the Safety Board has made recommendations regarding airport runway safety areas and is interested in examining the performance of EMAS.
Be sure to check out our cool Pilot Watches, Breitling Watches and Movado Watches.


text:
Q: ML/DL Prediction on whole input rather than row by row I have tabular data from a sensor measuring various features. When the sensor is "off" it will report zero as values. I am training some machine learning models kNN, XGBoost, and NN for the purpose of classification. Here's the issue I am facing: I can train and predict on a row by row basis; however it would be better to classify a range as whole rather than a row by row basis. Another issue to this is that the range can vary in size. For a very basic example, please see this diagram illustrating the range.

I have a basic Keras model:
model = Sequential()
model.add(Dense(100, activation='relu'))
model.add(Dense(100, activation='relu'))
model.add(Dense(100, activation='relu'))
model.add(Dense(num_classes, activation='softmax'))
print(model.summary())
model.compile(loss='categorical_crossentropy',
                optimizer='adam', metrics=['accuracy'])

And the training data is shaped with 20 features and 4 classes. How would I:
1.) Format my training data
2.) Shape input data to classify as a "whole" rather than row by row
3.) While this has been talking about using keras. Can the same input shaping/training be applied to XGBoost or a kNN?

A: I assume that the blue line in that graph represents your targets. Here is a fundamental issue I see with something like predicting the range as a whole instead of sample by sample.
Assuming that there is some reasonable logic that could collapse the range of samples into one (taking mean per each feature, or concatenation, or whatever...), obviously you would first need to identify the range itself. This range identification step is however dependent on the knowledge of target (at least it seems like that based on the presented graph).
If the preprocessing step is dependent on the knowledge of the target, you would need to know the target for the test set as well before you could preprocess the data and make the predictions. In other words, you would need to know the outcome before you could make the prediction which would then be rather pointless.
You have stated that you are trying to perform classification but your target seems to be continuous. I don't know what your classes are or what patterns they are associated with but you would need to bin the target before you could start solving this as a classification problem. You would most likely lose a lot of information by doing this.
Therefore, I would start by solving it as a regression problem. Trying to predict that continuous target for each sample. Once you have that, you can apply some patter matching logic to identify the class for a given sample/range (for example, you could slice the sequence of targets/predictions from the previous step, associate each slice with the desired class and use this data as a new dataset for some classification algorithm).
As for the variable length inputs. Some deep learning architectures allow you to work with input of variable length, such as RNNs or adaptive pooling. You may try to do this one you know how to predict the continuous target as mentioned before. Non-deep-learning algorithms usually expect all samples to have the same shape so there is no general/automatic way of reusing the same input between them and deep learning algorithms that work with input of variable length.

redpajama_set_name: RedPajamaStackExchange


The Solicitors at Hewitsons named below are full (or, where indicated, affiliate) members of STEP (the Society of Trust and Estate Practitioners) and therefore comply with the STEP Code for Will Preparation in England and Wales.
This Code, which operates for the benefit of clients, sets out the standards of service a client can expect from a STEP member preparing their Will. To view the Code click here.


text:
FABRICS: D, E, Top & Hat A, B, C: Sweatshirt Fabric, Jersey. Overall A, C, Jumper B: Twill, Denim. Sash D, E & Petticoat B, D: Cotton/Cotton Blends. Teeth C, Mask, Pads, Shell D, E & Appliqués: Felt. Ruffle B, D: Net. Paper-Backed Fusible Webbing for Appliqués.
*With Nap **Without Nap ***With or Without Nap
NOTIONS: Top A, B, C, D, E: (Children's/Boys'/Girls') 1/4 yd. of 5/8" Velcro®, 3/4 yd. of 1/2" Bias Tape, (Adults') 5/8 yd. of 5/8" Velcro®, 7/8 yd. of 1/2" Bias Tape. Overalls A, C, Jumper B: (Children's/Boys'/Girls') 1 yd. of 1" Elastic, Two 1/2" Buttons, (Adults') 11/4 yds. of 1" Elastic, Two 5/8" Buttons. Skirt D: (Children's/Boys'/Girls') 1 yd. of 1" Elastic, (Adults') 11/4 yds. of 1" Elastic. Pants E: (Children's/Boys'/Girls') 11/4 yds. of 1" Elastic, (Adults') 13/4 yds. of 1" Elastic. All Sizes: Hat A, B: Eight Chenille Pipe Cleaners. Hat C: One 6 foot Boa. Goggles A, B, C: 1/8 yd. of 5/8" Velcro®. Mask D, E: 3/4 yd. of 1/4" Elastic. Shell D, E: 3/8 yd. of 3/4" Velcro®, Polyester Fiberfil. Pads D, E: 1/4 yd. of 3/4" Velcro®.
Size Combinations: Adult[S(34-36), M(38-40), L(42-44), XL(46-48)] Head Size [S(221/4"), M(23"), L(233/4")], Kids(3/4-5/6-7/8) Head Size [S(203/4"), M(211/2"), L(22")]
SIZES Children's/Boys'/Girls' Adults'
3-4 5-6 7-8 Small Medium Large X-Large
TOP A, B, C, D, E
60"*** 3/4 3/4 3/4 13/4 13/4 13/4 17/8 yds.
OVERALLS A, C
45"*** 13/8 13/4 2 3 3 3 31/8 yds.
60"*** 11/8 11/8 11/4 23/8 25/8 23/4 3 yds.
JUMPER B
45"*** 11/4 13/8 15/8 21/8 21/8 23/8 23/8 yds.
60"*** 1 11/4 11/2 13/4 13/4 17/8 17/8 yds.
SKIRT D
PETTICOAT B, D
NETTING B, D
72"** 1 1 1 17/8 17/8 17/8 17/8 yds.
PANTS E
HAT A, B, C, D, E
60"*** 1/2 1/2 1/2 5/8 5/8 5/8 - yds.
MASK D, E - 7" x 7" Felt for Children's/Boys'/Girls', 9" x 10" Felt for Adults'.
GOGGLES A, B
39"*** 3/8 3/8 3/8 1/2 1/2 1/2 1/2 yd.
EYES A, B - 7" x 6" Felt for Children's/Boys'/Girls', 9" x 8" Felt for Adults'.
PAPER-BACKED FUSIBLE WEBBING A, B
16"** 7/8 7/8 7/8 7/8 7/8 7/8 7/8 yd.
GOGGLES C
EYES C - 4" x 4" Felt for Children's/Boys'/Girls', 5" x 5" Felt for Adults'.
IRIS C - 2" x 2" Felt for all sizes.
TEETH C - 5" x 4" Felt for Children's/Boys'/Girls', 8" x 5" Felt for Adults'.
PAPER-BACKED FUSIBLE WEBBING C
SHELL D, E
SHELL APPLIQUÉ D, E - 16" x 16" Felt for Children's/Boys'/Girls', 22" x 22" Felt for Adults'.
PAPER-BACKED FUSIBLE WEBBING D, E - 16" x 16" Felt for Children's/Boys'/Girls', 22" x 22" Felt for Adults'.
BATTING D, E (Shell)
45"** 11/8 11/8 11/8 15/8 15/8 15/8 15/8 yds.
PADS D, E
BATTING D, E (Pads)
SASH D, E
45"*** 1/2 1/2 1/2 - - - - yds.
150 cm*** 0.7 0.7 0.7 1.6 1.6 1.6 1.7 m
183 cm** 0.9 0.9 0.9 1.7 1.7 1.7 1.7 m
150 cm*** 0.5 0.5 0.5 0.6 0.6 0.6 - m
MASK D, E - 18 cm x 18 cm Felt for Children's/Boys'/Girls', 23 cm x 26 cm Felt for Adults'.
99 cm*** 0.3 0.3 0.3 0.5 0.5 0.5 0.5 m
EYES A, B - 18 cm x 16 cm Felt for Children's/Boys'/Girls', 23 cm x 21 cm Felt for Adults'.
41 cm** 0.8 0.8 0.8 0.8 0.8 0.8 0.8 m
EYES C - 10 cm x 10 cm Felt for Children's/Boys'/Girls', 13 cm x 13 cm Felt for Adults'.
IRIS C - 5 cm x 5 cm Felt for all sizes.
TEETH C - 13 cm x 10 cm Felt for Children's/Boys'/Girls', 20 cm x 13 cm Felt for Adults'.
SHELL APPLIQUÉ D, E - 41 cm x 41 cm Felt for Children's/Boys'/Girls', 56 cm x 56 cm Felt for Adults'.
PAPER-BACKED FUSIBLE WEBBING D, E - 41 cm x 41 cm Felt for Children's/Boys'/Girls', 56 cm x 56 cm Felt for Adults'.
115 cm*** 0.5 0.5 0.5 - - - - m

redpajama_set_name: RedPajamaCommonCrawl


text:
Q: Optimize memory usage when using ClosedXML to read XLSX File I've got an XLSX sheet that contains about 30 columns and 130,000 rows.
In the past I used OleDb data reader to parse such files but it was problematic in case of reading unknown excel files with mixed cell data types.
I found ClosedXML but the issue I have with it is that the memory usage is much higher than in the case of OleDb. I might be missing something but it appears that the entire workbook has to be loaded before even a single cell can be accessed, my memory usage goes up by ~500MB when I want to read a single cell:
        using (XLWorkbook workBook = new XLWorkbook(_path))
        {
            IXLWorksheet workSheet = workBook.Worksheet(tableName);
            Console.WriteLine(workSheet.Cell(1, 1).Value);
        }

Is there any way to optimise this?

*

*Lazy loading cells?

*Reducing the amount of loaded cell properties just to the ones that are of interest?

*Anything?

If there's no options to optimize this would you be able to recommend any other frameworks/libraries?
Thanks.

A:
it appears that the entire workbook has to be loaded before even a single cell can be accessed,

That is correct. This is ClosedXML's behaviour by design. It implies higher memory usage in order to fascilitate more powerfull cell manipulation. I'd suggest looking at a different library, maybe EPPlus, if memory usage is an issue for you.

A: The memory usage might be hard to avoid, depending on the kind of the data in the file. Internally, Excel files use a "shared string" table to store a single copy of each string, and refer to these by index from the worksheet data. I imagine most libraries will load the entire shared strings table before reading any worksheet data. If your file has a lot of unique strings, it can take a bit of time and memory to load the entire shared strings table.
ClosedXML is one of the least efficient libraries for reading Excel data. As Francois mentioned, this is probably not surprising, because the library is intended to support a depth of features not supported by other libraries.
If all you want is data-reading capabilities, you can take a look at a library I maintain: Sylvan.Data.Excel. It is very easy to use, and is the fastest Excel data reader library for .NET. In this specific benchmark Sylvan is more than 10x faster than ClosedXML, and uses a tiny fraction of the memory.


text:
Elderly couple refuse to pay £200 bill in pay-per-view porn row
Mark MolloyFriday 11 Apr 2014 10:38 am
Ann and Ron Hayward say they did not order the adult films (Picture: MEN)
An elderly couple who were billed £200 for pay-per-view porn films they claim were never ordered insist they are 'not paying a penny'.
Ann Hayward, 72, and her husband Ron, 75, were left stunned after staff at Virgin Media told them dozens of blue movies had been ordered on their account.
The couple from Reddish, Stockport, have previously disputed bills for adult films in 2009 and 2012 when they refused to pay bills for £190 and £500, the Manchester Evening News reports.
Mrs Hayward maintains neither she nor her husband ordered the films after re-activating Virgin's 'on demand service'.
'I was told everything would be alright and not to worry. We got a message coming up on the TV saying "channels unavailable",' she explained.
'It worried me so I called up and the next day I was told I'd ordered more than £200 of films. I was in shock.
'I couldn't believe it was happening again. No-one else comes in here. There's obviously something wrong with the technology.'
She added: 'I told them they can take me to court. I'm not paying a penny.'
A Virgin Media spokeswoman said: 'These films were unquestionably watched by someone in the Haywards' home.
'We are happy to arrange a payment plan but have said they may want to find an alternative provider going forward.'
'Fit and healthy' mum dies from sepsis before she could meet newborn twins


Let's be honest, there's a lot of noise in the sales environment today. Keith's focus is helping clients break through the clutter and hype to deliver tangible solutions to their complex sales challenges.
Keith has spent 20 plus year career focused on the intersection of sales, marketing and business strategy. His consulting and training work specializes in areas that require effective alignment between all three, including sales management, new product rollout, key account management and sales effectiveness. Keith also conducts extensive research into these topics, helping to integrate thought leadership with practical, results-oriented solutions for my clients.


text:
Q: Alarm manager don't work after some time This is my code. It works correctly, but after some time (about 1 hour) it doesn't work. Whats wrong? Thanks in advance.
<uses-permission android:name="android.permission.READ_PHONE_STATE"></uses-permission>

public class Alarm extends BroadcastReceiver
{
     @Override
     public void onReceive(Context context, Intent intent)
     {
         Toast.makeText(context, "Alarm !!!!!!!!!!!!!", Toast.LENGTH_LONG).show();
     }

     public void SetAlarm(Context context)
     {
         AlarmManager am=(AlarmManager)context.getSystemService(Context.ALARM_SERVICE);
         Intent i = new Intent(context, Alarm.class);
         PendingIntent pi = PendingIntent.getBroadcast(context, 0, i, 0);
         am.setRepeating(AlarmManager.RTC_WAKEUP, SystemClock.elapsedRealtime(), 1000 * 60 * 10, pi);
     }

     public void StopAlarm(Context context)
     {
         Intent intent = new Intent(context, Alarm.class);
         PendingIntent sender = PendingIntent.getBroadcast(context, 0, intent, 0);
         AlarmManager alarmManager = (AlarmManager) context.getSystemService(Context.ALARM_SERVICE);
         alarmManager.cancel(sender);
     }
}

A: This is working code. It wakes CPU every 10 minutes and shows notification.
Add to Manifest.xml:
...
<uses-permission android:name="android.permission.WAKE_LOCK"></uses-permission>
...
<receiver  android:process=":remote" android:name="Alarm"></receiver>
...

Code:
public class Alarm extends BroadcastReceiver
{
     @Override
     public void onReceive(Context context, Intent intent)
     {
         PowerManager pm = (PowerManager) context.getSystemService(Context.POWER_SERVICE);
         PowerManager.WakeLock wl = pm.newWakeLock(PowerManager.PARTIAL_WAKE_LOCK, "YOUR TAG");
         wl.acquire();

         // Put here YOUR code.
         Toast.makeText(context, "Alarm !!!!!!!!!!", Toast.LENGTH_LONG).show(); // For example

         wl.release();
     }

     public void SetAlarm(Context context)
     {
         AlarmManager am=(AlarmManager)context.getSystemService(Context.ALARM_SERVICE);
         Intent i = new Intent(context, Alarm.class);
         PendingIntent pi = PendingIntent.getBroadcast(context, 0, i, 0);
         am.setRepeating(AlarmManager.RTC_WAKEUP, System.currentTimeMillis(), 1000 * 60 * 10, pi); // Millisec * Second * Minute
     }

     public void CancelAlarm(Context context)
     {
         Intent intent = new Intent(context, Alarm.class);
         PendingIntent sender = PendingIntent.getBroadcast(context, 0, intent, 0);
         AlarmManager alarmManager = (AlarmManager) context.getSystemService(Context.ALARM_SERVICE);
         alarmManager.cancel(sender);
     }
}

A: public void scheduleAlarm(View V)
{
    // time at which alarm will be scheduled here alarm is scheduled at 1 day from current time,
    // we fetch  the current time in milliseconds and added 1 day time
    // i.e. 24*60*60*1000= 86,400,000   milliseconds in a day
    Long time = new GregorianCalendar().getTimeInMillis()+24*60*60*1000;

    // create an Intent and set the class which will execute when Alarm triggers, here we have
    // given AlarmReciever in the Intent, the onRecieve() method of this class will execute when

    Intent intentAlarm = new Intent(this, AlarmReciever.class);

    //Get the Alarm Service
    AlarmManager alarmManager = (AlarmManager) getSystemService(Context.ALARM_SERVICE);

    //set the alarm for particular time
    alarmManager.set(AlarmManager.RTC_WAKEUP,time, PendingIntent.getBroadcast(this,1,  intentAlarm, PendingIntent.FLAG_UPDATE_CURRENT));
    Toast.makeText(this, "Alarm Scheduled for Tommrrow", Toast.LENGTH_LONG).show();

}_

AlarmReciever Class
public class AlarmReciever extends BroadcastReceiver
{
    @Override
    public void onReceive(Context context, Intent intent)
    {
        // TODO Auto-generated method stub
        // Your Code     When Alarm willl trigger
    }
}


text:
First American settles kickback probe for $680,000
Title insurer accused of sham business partnerships
By Janis Mara
Inman News
First American Title has agreed to pay $680,000 in a settlement with the Department of Housing and Urban Development over a probe of alleged kickbacks involving sham affiliated business partnerships, HUD said today.
HUD claimed First American Title Insurance Co., doing business as Memphis Title Co., made payments through alleged sham affiliated businesses in the Memphis area in violation of anti-kickback and unearned fee provisions of the Real Estate Settlement Procedures Act, known as RESPA.
First American agreed to make payment to the U.S. Treasury and cease any further business operations involving the alleged sham business partnerships.
"The law is clear on this point," said Brian Montgomery, HUD's assistant secretary for housing and FHA commissioner. "Parties that perform real work in the mortgage transaction deserve bona fide compensation, but fabricating sham affiliations for the purpose of obscuring kickbacks violates the law."
First American spokesman David Schulz said, "At this point in time the company is not commenting on this title situation."
Affiliated business arrangements are partnerships between real estate entities such as title insurance companies, mortgage lenders and real estate brokers. The arrangements are legal under RESPA, as long as certain guidelines are followed, such as disclosing the relationships to consumers. RESPA regulates referrals and other practices in the real estate closing process.
Companies engaged in affiliated business partnerships say they go to great lengths to ensure they are properly following regulations.
HUD said today that its investigation determined that First American created or acquired eight affiliated title companies with various builders, real estate agents and mortgage brokers.
According to HUD, the agency found that the companies were paid for certain title and settlement work they did not perform – services that were essentially provided by First American. HUD concluded that the companies were sham businesses used to make referral payments back to the builders, real estate agents and mortgage brokers in violation of RESPA, the agency said.
Section 8 of RESPA prohibits a person from giving or accepting anything of value in exchange for the referral of settlement service business, according to a description on HUD's Web site. It also prohibits a person from giving or accepting any part of a charge for services that are not performed. TAKE PART IN OUR NATIONAL SURVEY! Provide valuable input on how you're spending your advertising resources as part of our national ad trend report. Results to be revealed at the end of July! Take survey.
In its settlement with HUD, First American made several additional agreements.
These were: that if it formed affiliated companies in the Memphis area in the future, each company would have sufficient initial and operating capital to perform settlement services; that it would be staffed with employees who work for that entity and are not shared with any other settlement service provider.
First American also agreed that each company would have an office for its use in conducting business that is separate and apart from that of any other title entity; and that it would comply with HUD policy statements with regard to the performance and payment for title services.
In addition, First American agreed that each company would compete for title insurance business and seek business from parties other than the builders, real estate agents and mortgage brokers or other settlement service providers with which it has an affiliate relationship; and refrain from practices providing unearned fees or kickbacks for the referral of settlement service business.
Affiliated business arrangements have come under increased scrutiny in the wake of investigations into title insurance industry referral practices.
Colorado's insurance division is investigating real estate title insurers for alleged kickbacks. The investigation set off a national probe of title insurance companies in several other states. In the alleged schemes, title insurers agreed to give about half of the premium on title insurance policies to captive reinsurance companies created by the other conspirators. The parent companies of those captives would in turn refer business to the title insurer.
In the Colorado probe, First American agreed to refund about $24 million to consumers nationwide without admitting liability or wrongdoing. Erin Toll Erin Toll, Colorado's deputy insurance commissioner
Recently, Colorado Deputy Insurance Commissioner Erin Toll began investigating ABAs for possible similar misdeeds.
Several years ago, the U.S. Department of Housing and Urban Development, which polices RESPA, began allowing title insurance companies, private mortgage insurance companies and others to form affiliated business arrangements.
In a typical arrangement, a real estate brokerage will set up a joint venture with a mortgage lender, for example. The partnership typically provides an in-house, one-stop shopping experience for the home buyer or seller, offering brokerage, lending, and even closing services under one roof.
Copyright 2005 Inman News


text:
Newcastle United Transfer Rumors 2013
BREAKING: Newcastle United Need A New Top Class Striker
From the "surely you must be shitting me" department, this report from the Chronicle.
By Jim McMeachin Jun 22, 2013, 6:50pm BST
Share All sharing options for: BREAKING: Newcastle United Need A New Top Class Striker
See? Isn't this peaceful? Don't you feel nice?
In a fresh report, Lee Ryder and The Chronicle have indicated that it has taken Joe Kinnear to tell Mike Ashley exactly what you and I have known for months (or multiple transfer windows if you were of the mind that Ba and Cissé were not quite enough depth at striker). Newcastle United are in need of a top quality striker. Allow me a moment to pick myself up off of the floor.
Kinnear had also said earlier last week: "If we spell it out to Mike that it is a serious situation and we do need a quality striker, I'm pretty sure he will pay up."
-- From The Chronicle
Perhaps I'm on to the "acceptance" stage of grief with regards to this Joe Kinnear thing, but look - if it took Joe Kinnear for some reason to be able to say "WE NEED A STRIKER" in whatever manner made sense finally in Mike Ashley's ears, then I welcome my new name-ignorant overlord.
Pierre-Emerick Aubameyang is still the name being bandied about in spite of interest in the player from European runners-up Borussia Dortmund as well as Roma - with funds alleged to be available that "won't drain United's current running costs" in order to meet the £13m reported cost for the Gabon international. I suppose this is what passes for good news at this particular time and place...
In the mean time, I feel the need to plump for a young, talented striker that (if we fail to get Aubameyang) would cost significantly less than £13m and could do a job for Newcastle United: #JozyforNUFC #Don'tLetJozyGoToSunlun