text:
Home Forums > Model Discussions > M Series > Z Series > E85/E86 Z4 M roadster/coupe (2006-2008) >
Z3 M Coupe or Z4 M Coupe???
Discussion in 'E85/E86 Z4 M roadster/coupe (2006-2008)' started by 129794, Apr 25, 2011.
I feel cars are meant to be driven. If you want something to look at go buy a painting! My 08 135i has about 15,000 on it but its my daily driver (My commute is less than a mile!)
129794, Apr 28, 2011
onebadm
Have to agree
I couldn't agree more. When we purchased our 02 M3 in August of last year it had 33,000 miles on it. I couldn't see how someone would not want to drive such a car, we now have 41,000 on it with huge smiles all the time. The same with the Z4MC.
onebadm, Apr 29, 2011
Satch SoSoCalifortified
It's time for the Home. . .
Mister Bunch o' Numbers say:
I keep trying to convince my dad that we should consider a roadster, too, but he wants no part of a convertible.
I'd call this the kind of thing that would allow you to sign him into Golden Acres and get his power-of-attorney. . .
As for the low-miles Z3: depends on the price, of course. At the House O' Dinan, it is not difficult to put on "$6,000 worth of Dinan," but some parts is more usefuller than others. You may actually have a Z3 that handles!
In regard to driving versus sculpture: The roadster is not ezzackery the most useful family car. In my case, since I live within walking distance of Trader Joe's and the Rock Bottom Brewery, and we use the 335i for Costco runs, you might think the roadster would sit on the Battery Tender for months at a time. But somehow I seem to be averaging about 10,000 miles a year.
Oh, yeah: Oktoberfest. There's THAT. . ..
Satch Carlson
"The first failure of communication is the belief that any is taking place."
Satch, May 1, 2011
Well here's an update. The '99 is proving to be a rather difficult buy (owner doesn't know he wants to sell) and coupes are way more rare plus they carry a premium. So... We have decided that a roadster (both Z4 and Z3) is a worthy candidate especially when there are way more out there. Plus we feel that for our needs a roadster is a possibility. Not to mention you basically the same car (minus structural rigidity of the coupe) for way less money. There are even several roadsters for sale within minutes of our house so we actually got to go look at them (wed have to buy a coupe without personal inspection) So those of you with roadsters... how are they to own etc? Do they handle comparably to the coupes? of the four options which would you rather own?
129794, May 11, 2011
shipkiller
129794 said: ↑
I cannot attest to the Z3 but the Z4 Roadsters and Coupes are neck and neck in the handling department. There is a difference in handling feel between the Z4 (non-M) and the M. The non-M has electric steering. Some like it, some do not. I do feel that the electric steering leaves a little on the table in the 'connected to the road' department. Since I have both a non-M Roadster and an MC, I can tell you that there is a difference in steering feel between the non-M and the M. Even my wife can tell and the Roadster is her's.
The trouble with all this discussion is this: It is just chatter.
The ONLY way you will resolve this is to go drive all the cars you are interested in and make a decision. Its the only way to be sure you pick the right car for YOU. Don't get all rapped up in specifications. It's the drive that matters..........
Drives a 2008 Z4M Coupe' (His) & 2003 Z4 Roadster (Her's)
shipkiller, May 11, 2011
CSBM5
The Z4 structure is MUCH stiffer in torsion and bending. You can tell it the moment you back-to-back drive it versus a Z3...it is a much more substantial, i.e. modern, design both from a structural stiffness standpoint but also from a crash protection standpoint.
Here are the torsional stiffness values in N-m required per degree of torsion. Note that the Z4 roadster is almost 3 times stiffer in torsion. Now note that the Z4 coupe is more than 2 times stiffer than the Z4 roadster.
BMW Z3 Roadster 5,600 Nm/deg
BMW Z4 Roadster: 14,500 Nm/deg
BMW Z4 Coupe, 32,000Nm/degree
I would keep looking and buy the Z4 M-coupe -- there seem to be a fair amount of them around.
Tarheel Chapter
Member #22816 (member since 03/1981)
Current stable:
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CSBM5, May 11, 2011
steven s
There is this one for sale.
http://www.bmwcca.org/classifieds/showproduct.php?product=9305
Steven Schlossman | Chapter Services and so much more.
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steven s, May 11, 2011
CSBM5 said: ↑
Yea, I brought those numbers up on the first page of this thread, though I could not remember the numbers for the Z3 or the MZ3.
The OP cannot seem to make up his mind. Buying cars like these that have limited production numbers can take a long time, but you have to make a decision on one or the other just to get off first base.... It's about the drive..............
Z3 or Z4 redux
I will say that for me-and perhaps only for me-the safety and confidence of the roadster trumps my love for the cozy confines of the coupe. I'm referring to top-down mode, of course, which gives me a clear view of everything around me. (Situational awareness is absolutely essential around these parts, where if you're only doing 80, you will be passed on both sides.)
As for the handling and stiffness of the Z4 versus the Z3: night and day.
The other element that has added to my confidence in the M roadster is my return to the sport of eating up tires on an autocross course. The Joy Of Sideways actually has a practical facet: It allows me to find the limits of adhesion, and lets me practice returning from the territory beyond those limits.
Satch, May 11, 2011


text:
package org.diorite.impl.connection.packets.login.client;

import java.io.IOException;

import org.apache.commons.lang3.builder.ToStringBuilder;
import org.apache.commons.lang3.builder.ToStringStyle;

import org.diorite.impl.connection.EnumProtocol;
import org.diorite.impl.connection.EnumProtocolDirection;
import org.diorite.impl.connection.packets.PacketClass;
import org.diorite.impl.connection.packets.PacketDataSerializer;
import org.diorite.impl.connection.packets.login.PacketLoginClientListener;

@PacketClass(id = 0x01, protocol = EnumProtocol.LOGIN, direction = EnumProtocolDirection.SERVERBOUND, size = 260)
public class PacketLoginClientEncryptionBegin extends PacketLoginClient
{
    private byte[] sharedSecret; // 128 bytes + 2 bytes size
    private byte[] verifyToken; // 128 bytes + 2 bytes size

    public PacketLoginClientEncryptionBegin()
    {
    }

    public PacketLoginClientEncryptionBegin(final byte[] sharedSecret, final byte[] verifyToken)
    {
        this.sharedSecret = sharedSecret;
        this.verifyToken = verifyToken;
    }

    @Override
    public void readPacket(final PacketDataSerializer data) throws IOException
    {
        this.sharedSecret = data.readByteWord();
        this.verifyToken = data.readByteWord();
    }

    @Override
    public void writeFields(final PacketDataSerializer data) throws IOException
    {
        data.writeByteWord(this.sharedSecret);
        data.writeByteWord(this.verifyToken);
    }

    @Override
    public void handle(final PacketLoginClientListener listener)
    {
        listener.handle(this);
    }

    public byte[] getSharedSecret()
    {
        return this.sharedSecret;
    }

    public void setSharedSecret(final byte[] sharedSecret)
    {
        this.sharedSecret = sharedSecret;
    }

    public byte[] getVerifyToken()
    {
        return this.verifyToken;
    }

    public void setVerifyToken(final byte[] verifyToken)
    {
        this.verifyToken = verifyToken;
    }

    @Override
    public String toString()
    {
        return new ToStringBuilder(this, ToStringStyle.SHORT_PREFIX_STYLE).appendSuper(super.toString()).append("sharedSecret", this.sharedSecret).append("verifyToken", this.verifyToken).toString();
    }
}

redpajama_set_name: RedPajamaGithub


text:
Learn Better
Work Happier
Happening at Grovo
Grovo for Good
Do Emotions Belong In The Workplace?
by Grovo
Written by Grovo
Knowledge workers care about what they do for a living. They can't help it. A job in the knowledge economy requires years of education, innate talents, and a lot of an employee's time. It's not just button-pushing. Asked to bring their whole selves to the job, modern knowledge workers crave work that engages their whole selves—including their emotions.
More on Employee Engagement
What is Employee Engagement?
Definition of Employee Engagement
History of Employee Engagement
How to Think About Employee Engagement
Think About it Like Your Health
Why it's Urgent Now
Implementing Engagement Strategies
4 Ways You Can Drive Engagement
How Engagement Can Save Your Organization
Employee Engagement Best Practices
See Engagement Strategies In Practice
How One L&D Professional Is Engaging Employees
Are These the World's Most Valuable Volunteers?
Problem is, emotionality is still an uncomfortable topic in today's corporate culture. Managers struggle with the question: does employee engagement and cultural alignment require an emotional dimension? Do companies need to think about messy, irrational human emotions like happiness, love, and dejection? Do emotions even belong in the workplace?
In a previous era, fewer jobs required employees to engage on a level that would involve their emotions.
Traditionally, the answer has been no. Prevailing wisdom has long held that employees should keep emotions at bay as much as possible. Positive energizers like pride, ambition, and enthusiasm have always been permitted, but not the more melancholy feelings that threaten to complicate one's thinking.
And in a now-bygone era of phone operators and factory workers, maybe emotions truly didn't matter that much. Maybe employees back then could clock in, perform rotely, and clock out without tapping into their inner lives. Or maybe it's just that there's never been a tidy way to confront workplace emotions. In any event, job love was not typically a managerial responsibility.
In the modern workforce, it is. Today's knowledge economy demands uniquely human skills like creativity, problem solving, and deep analytic thinking. And the humans who are doing this work come with a lot of baggage. You can't mix ideas and egos together in any setting without emotions coming out as a side product. These feelings may have traditionally been shunned from the office, but they can't be kept out any longer. Today, they need to be harnessed. Many managers, unfortunately, don't know how to adapt.
People do better work when they are happy, have positive views of their organization and its people, and are motivated primarily by the work itself.Click To Tweet
Married and considering engagement: the team of Amabile & Kramer
Psychologists Teresa Amabile and Steven Kramer are out to change that. The question of how best to engage people and inspire innovation drove the researchers to launch a major study examining the role of emotions and team dynamics on work output. Their efforts culminated in 2011's The Progress Principle, a book that presented the duo's findings in the context of their theory of employee engagement. Over the course of about five months and thousands of detailed questionnaires, the researchers arrived at a simple yet revolutionary idea—that employees are people and must be treated like people.
More specifically, they came up with the "progress principle," which holds that "of all the positive events that influence inner work life, the single most powerful is making progress in meaningful work."
"Inner work life" is Amabile and Kramer's term for the collection of feelings every employee has about work: their career, their coworkers, the environment in which they operate—the whole experience. In the book, the researchers demonstrate that these feelings directly impact the quality of work an employee does. Poor inner work life leads to poor performance, checked-out employees, and even enmity among colleagues. Good inner work life means that everyone feels valued, empowered, and motivated to collaborate. "Promoting positive inner work life doesn't only make people feel better; it also leads people to do better work," the researchers say.
Good managers don't ignore employee emotions; they nourish them to drive better work.
"Emotions" is one of the three components of inner work life—the factors that determine how we relate personally to our work. ("Perception" and "motivation" are the other two.) Each of these components has its own set of catalysts and inhibitors, the single most powerful of which is the feeling of progress on something the employee considers worthwhile. The size and nature of the accomplishment doesn't matter. Engagement stems from the simple fact of being successful and being valued.
The Progress Principle proves that emotions play an irreducible role in employee engagement, and that job love is the key to high performance. "People do better work when they are happy, have positive views of their organization and its people, and are motivated primarily by the work itself," the authors write. Positive emotions are found to result in 50% more creative thoughts, better decision-making, and higher intrinsic motivation. Amabile and Kramer encourage organizations to nourish this culture of job love in a variety of ways—everything from teaching managers to care for employee needs to offering effective learning: "Getting the right sort of help, from the right people, at the right time, can give a significant boost to inner work life."
Managers may not yet be widely comfortable dealing with the innermost emotions of their employees, but it's time they got used to it. As technology increasingly automates away the emotionless work of rote functions and menial labor, humanity itself will contribute to the bottom line more than ever before. Amabile and Kramer put it best: "People often say, 'It's business, it's not personal.' But work is personal."
Whether they belong or not, emotions are in the workplace to stay. It's up to savvy managers to uplift them and drive results.
The (New) Definition of Employee Engagement
Develop or Die: 6(66) Ways To Save Your Organization From the Working Dead
Copyright © 2018. Grovo

redpajama_set_name: RedPajamaCommonCrawl


text:
Albin Novšak, slovenski smučarski skakalec, * 10. februar 1915, Gorenja vas, † 29. januar 1992, Ljubljana.

Za jugoslovansko reprezentanco je nastopil na Zimskih olimpijskih igrah 1936 v Garmisch-Partenkirchnu, kjer je zasedel 41. mesto. Med letoma 1934 in 1936 je šestkrat postavil nov slovenski rekord v smučarskih skokih na Bloudkovi velikanki, zadnjič z daljavo 89,5 m, ki je ostala slovenski rekord do leta 1941.

Vodil je skakalno šolo v Planici (1934-41).

Sklici

Zunanje povezave

Slovenski smučarski skakalci
Olimpijski tekmovalci za Jugoslavijo
Smučarski skakalci Zimskih olimpijskih iger 1936

redpajama_set_name: RedPajamaWikipedia


Edythe Cullen was not . . . human. She was something more.
Celebrate 10 years of Twilight with this double feature book: the classic novel and a complete reimagining from Stephenie Meyer.
Packaged as a hardback 'flip book', this edition features nearly 400 pages of new content as well as exquisite new back cover art. Readers will relish experiencing the deeply romantic and extraordinarily suspenseful love story of Bella and Edward through fresh eyes.
Welcome to the UK website of bestselling supernatural romance and thriller writer Stephenie Meyer, author of Twilight, New Moon, Eclipse, Breaking Dawn, The Host and The Short Second Life of Bree Tanner.


text:
anavarpuertorico.com
Quick Answer: What Forms Are Needed To Transfer Car Title In Texas?
Where does the seller sign the back of a title?
Who fills out Form 130 U Texas?
How do I transfer a car title to a family member in Texas?
Is a bill of sale required in Texas?
Can you register a car without a title in Texas?
Do you sign the front of a car title in Texas?
What forms do I need to transfer a title in Texas?
How do you sign over a car title in Texas?
How much does it cost to switch title over in Texas?
What do I need to do to sell a car privately in Texas?
How do you sign a title over to a family member?
Does a car title transfer need to be notarized in Texas?
Can I do a title transfer online in Texas?
Do you need insurance to transfer title in Texas?
What is the penalty for not transferring title within 30 days in Texas?
Does seller have to sign application for Texas title?
Does a bill of sale have to be notarized in Texas?
Is it better to gift a car or sell for a dollar?
Can you sell a car to a family member for $1?
The seller should sign the title on the line that says "Seller's signature." Again, if two people are selling the vehicle, both of their signatures need to fit on this line.
Immediately next to this line is a place where the buyer(s) can sign their name(s)..
If you buy a vehicle from a dealer, the dealer is required to file the title application on your behalf. If you purchase your vehicle from an individual, the seller should provide you with a signed Form 130-U and any other supporting documents so you can file an application with the tax office.
The Process of Gifting a Car in TexasStep 1: Purchase a Vehicle. … Step 2: Check the Odometer. … Step 3: Signing the Title. … Step 4: Completing the Application for Title. … Step 5: Affidavit of Motor Vehicle Gift Transfer. … Step 6: Liability Insurance. … Step 7: Registration of the New Title. … Title Transfer Fee.
Even though it is not a legal requirement in Texas, you have every reason to complete a bill of sale when selling your car. … A bill of sale provides solid proof that a transfer was made, and therefore all liability now rests with the new owner. It also acts as a receipt for your own personal records.
While you're not required to title your vehicle in Texas, if you hold the title you'll need to download and complete a copy of Form 130-U. If you don't have your title because the vehicle is under a lien, you'll need to download and complete Form VTR-272.
Each Certificate of Title must be signed by the Seller on the front of the Texas Certificate of Title on the "Signature of Owner" line.
The signed negotiable title and completed Application for Texas Title and/or Registration (Form 130-U), must be provided to the county tax office to title the vehicle. The title application must be accompanied by Affidavit of Motor Vehicle Gift Transfer (Texas Comptroller of Public Accounts Form 14-317).
There are two locations you must sign. Sign on the front of the title where it is marked "Signature of Owner or Agent." Sign the back of the title where it is marked "Signature of Seller/Agent." Print your name on the back of the title where it reads "Printed Name (Same as Signature)."
The title fee is $33, plus motor-vehicle sales tax (6.25 percent). There is also a $2.50 transfer of a current registration fee. If the license is not current, there may be a registration fee.
How to Sell a Car in TexasStep 1: The Buyer Inspects the Car.Step 2: Sign the Back of the Title.Step 3: Sign the Buyer's Application for Title.Step 4: Take off your Plates.Step 5: Remove your Registration Window Sticker.Step 6: Accompany the Buyer to the Local Country Tax Office to Finalize the Transaction.
To transfer a vehicle between family members, submit the following: The California Certificate of Title properly signed or endorsed on line 1 by the registered owner(s) shown on the title. Complete the new owner information on the back of the title and sign it.
Texas titles must be notarized. Only sign the title in the presence of a notary public. … Print your name (or names)* on the back of the title where it says "Seller(s) Hand Printed Name(s)". For vehicles less than 10 years old, you must include an odometer disclosure statement reflecting the current odometer reading.
TO COMPLETE THE TX MOTOR VEHICLE TRANSFER NOTIFICATION ONLINE: *PREFERRED METHOD* If possible, we highly recommend completing forms online instead of by mail, so you may easily save and print out a copy for your records that includes a date/timestamp.
Proof of insurance is required to transfer a title. … When you transfer a title, you'll need to show proof of insurance. Texas. You must provide proof of liability insurance if you need a title or registration.
Failure to title within the 30 days results in an automatic $25 penalty, plus another $25 for each month the title is late. There are no waivers for these penalties, which means the (YOUR COUNTY) county tax office and the Texas Department of Motor Vehicles cannot reduce or forgive what you may owe.
You and seller must both sign. (Your application, but his record of the sale). If necessary you can go with the seller to a Texas Division of Motor Vehicle office.
The Texas Vehicle Bill of Sale is a legal document to prove the legal sale and purchase of a motor vehicle in the state of Texas. This document may or may not require notarization depending upon the decision of the buyer and seller and/or requirement of the state.
While some car owners consider selling the car for a dollar instead of gifting it, the DMV gift car process is the recommended, not to mention more legitimate, way to go. As YourMechanic points out, each state has its own process for gifting a car to a family member.
During the transfer of ownership process, you won't have to pay any capital gains tax since you're not likely selling the car for a profit at $1. However, your daughter will have to pay whatever rate of sales tax your state charges on used vehicles when she goes to transfer the title.
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text:
Single Review – Jon Pardi's "Night Shift"
Nobody's talking about it, but Jon Pardi is quickly developing into a serious modern country star. His latest record California Sunrise was released now over two years ago, and aside from Chris Stapleton's Traveller, it's been one of the most perennial titles on the Billboard Country Albums chart Top 15 over that time period. There are stadium acts that haven't sold 250,000 copies of their latest record like Jon Pardi has (see Kenny Chesney's Cosmic Hallelujah).
It's for these reasons that Capitol Nashville has decided to release a 5th single from the record, which is a feat and a victory for any album in itself. A 5th single means a label perceives continued strength from a title and an artist, and a willingness to continue to invest time and money in promoting them. "Night Shift" will try to bridge the gap between California Sunrise, and whatever new music Jon Pardi has planned, which has to be in the works at this point now two years removed from his last release.
There is a touch of grey in the silver lining though. Pardi's last single "She Ain't In It" had traditional country fans singing the praises of Pardi and his label for showing leadership for putting such a traditional song on the radio. To many, it was clearly the best song from the California Sunrise set. But it stalled out just outside the Top 20 on the charts, signaling that even though Pardi's popularity is on the rise, radio is still soft on singles that don't adhere to the latest trends. As a fourth single, it was worth throwing it out there as a wild card. The fact that it got to #21 could still be an important stepping stone.
"Night Shift" may not fare much better in such a crowded market for new singles at the moment, and it may not be nearly as traditional as "She Ain't In It." But it is indicative of the important place Jon Pardi inhabits in mainstream country. Don't shake your head that Pardi is out there on tour right now with Luke Bryan and Sam Hunt. Be happy that at least someone who knows how to pick out a cowboy hat and a pair of Wranglers is representing country on what is supposed to be a "country" tour. Let those fans be exposed to a little actual country music culture. Perhaps they'll like what they hear, and go searching for more.
The promise in Pardi is not that he'll be the next George Jones. But he could be the next Dierks Bentley, though an even more twangy version—helping to bridge the gap between contemporary and traditional, and offering the mainstream masses a healthier alternative. "Night Shift" most certainly falls into that categorization, with prominent fiddle right beside the lead guitar, and some steel tones working into a robust chorus hard not to find appeal in. The song ends with a guitar solo, which is about as rare as steel and fiddle itself these days.
Written by Tofer Brown, Phillip LaRue, and Billy Montana, the lyrics of "Night Shift" are pretty stock, but the idea of working 60 hours a week, yet saving enough energy for keeping the flames of desire alive at home is the kind of blue collar story indicative of actual country music, and can't be overdone. This is Jon Pardi doing what Jon Pardi does, which is keeping it a little bit safe, but also keeping it distinctly country. It's not too far off from the sensibility of some of Alan Jackson's radio material during his heyday.
If you try to appeal to both the traditional and contemporary, you run the risk of not appealing to either. We know Jon Pardi is a traditionalist, even if he also has the natural desire to have a successful career, and be heard. He sells actual records like more traditional and independent artists do, and it also means he is appealing to an older crowd, as well as the younger audience on radio where he's found success. You get the sense Pardi is still developing, and his next record could break either way. But for now, he's content straddling the lines between both country worlds, and has found surprising success doing it. A song like "Night Shift" is exemplary of that.
1 1/2 Guns Up (7/10)
Jon Pardi, Night Shift
A big step down from She Ain't in it. Hate how the chorus comes in.
Anything was going to be a step down from "She Ain't In It." That was a career song.
North Woods Country
They had a surefire #1 in "Cowboy Hat" and never released it as a single. Good lord…
THIS ^^^^ I agree 100% that Cowboy Hat should have been released as the final single instead of this one. Bad move on the label's part….but then again labels are notorious for releasing bad singles while good songs never see the light of day..
Pretty porny for radio. "You Can Leave Your Hat On" at least was sly. Or compare it to hat songs by Dale Watson or Lyle Lovett.
Incidentally, did the guitar player for Pardi's track also cut the solo on "Honeybee"? It cops the ending. Just wondering.
I hope Pardi does some good, but these songs are twinkies.
Patrick Bluhm
Spot on review Trigger! I'm a little disappointed that she ain't in it didn't chart higher. But what Jon has proved that an artist can put traditional sound on country radio and have some success. Hopefully he does what he did with the first three singles chart wise with this new one. I am very interested to hear what the new album will sound like. Will a fold to the label or will he keep making the music he loves that is the biggest question.
Jon Pardi could break either way, and it could be either hugely successful, or disappointing. Hopefully if nothing else, the continued strong sales for "California Sunrise" means he can keep on the more traditional track.
Couldn't have said it any better myself. The comparison to Dierks is spot on as well as the relatability of the lyrics. Most blue collar folks aren't actually living the FGL or Luke Bryan lifestyle. They're working hard with just enough energy to blow off a little steam in the evening or on the weekend. That truly blue collar, rural paradigm is something I think is missing in today's country. Like you said, this is something akin to what Alan Jackson or even the Hag may have released as a single at some point.
Yes, Pardi doesn't make living out in the country sound like Candyland here.
Kevin Davis
The fact that "She Ain't In It" found its way into the top 30 for some weeks meant that I actually heard some traditional-style country on the radio on my way to work, the few times I would try my luck with one of our two pathetic "country" stations in Charlotte. And the music video has over 10 million views, which is probably more important than its airplay spins.
As for "Night Shift," I think "Cowboy Hat" would have been the better pick. Musically, I can't get into the chorus of "Night Shift," although I like the verses, and it grabs your attention from the start. I hope it does well.
Hitting #21 on the charts is not bad. That means quite a few folks were hearing it. We're just used to the stupid mainstream system where virtually every major single gets an opportunity at #1 or #2.
Yep, that's right. I noticed that once it got into the top 30 it started to receive fairly regular rotation, even though I don't listen to country radio nearly as much as I once did. I have a long commute to and from work, so I managed to hear it several times over the course of its radio run. Very refreshing.
LOL he just ripped off the melody and rhythm to Maren Morris' "I Could Use A Love Song"
I literally came here to say this. Slow it down and it is absolutely "I Could Use A Love Song"
First off, these accusations of people ripping off other people get really tiring.
Second, both their albums were basically released at the same time, which means there just as much chance Morris copied Pardi. More realistically, both songs were composed at basically the same time and they sound similar. It would have been impossible for the three songwriters to hear Maren's song, write their own, demo it, record it, and press it in two weeks—oh, and the track had already been recorded and pressed and announced BEFORE the release of "Hero." Nothing to see here.
Either way, it's a dumb move to release this as a single with her song already being a hit for a while now.
How is it dumb? If this song really does sound like Morris song, which I'm pretty sure hit #1, then why wouldn't it be smart to release a song with the same formula? You make little sense…
This response is meant for Summer Jam below me, for some reason it won't let me….
how is it dumb to release a song that's been #1 already with the same melody and rhythm to it? Haha, do i REALLY have to answer that? I'll give you a hint… lawyers.. paperwork…business attire.
If his album was released two years ago, I do not think he stole anything,
I guess Music Row songwriters didn't go looking for their lost dignity after that You Tube video went viral about all mainstream "country" music sounding the same.
Doubtful, their albums were recorded and released too close together.
I'm so confused by this pick. I love this album, but Night Shift is by far my least favorite track. Why in the world they didn't go with Cowboy Hat or California Sunrise is beyond me. Any insight? What makes this the pick when there are (arguably) better songs on the album?
OlaR
Well…the answer is no.
(Un-)popular opinion: "Night Shift" is meh. Even with steel & fiddle in the mix the track sounds somewhat bro-ish. There is a watered down Brantley Gilbert vibe all over "Night Shift".
"Night Shift" is only the placeholder for new (& better ?) music. He is not the next George Jones (impossible), the next Dierks Bentley (i don't care) & he is not so traditional (cowboy hat or not).
Try out Tommy Townsend:
His EP is called Turn Back The Clock (Released – 07/06).
The 7 tracks are produced by Shooter Jennings. First single is a cover of a Steve Young track: "Renegade Picker". Tommy Townsend was a member of the Waylon Jennings live band & you can hear it.
Benny Lee
Everybody's complaining about the chorus, but I didn't even make it that far. Just another bro song…
Trigger I'm sure you're aware, but Eric Church posted on his Instagram a picture saying July 12th 9:00 AM. I'm assuming that is when the single you posted about will be released.
Yes, appears the rumors were a day off, but were true nonetheless. We'll see what happens tomorrow morning.
Jon Pardi is laying the railroad tracks for neo-traditional country to reappear in the mainstream. Not only is the California Sunrise album a fantastic album, it shows that you can still make modern country music with a neotraditional sound….I would consider it one of my favorite albums. I firmly believe that Pardi is major reason why Blake Shelton, Luke Bryan, and a few other acts are leaning towards a more country sound. Shelton is the king of contemporary country, but his recent comments about wanting more neo-traditional music on radio may be due to Jon Pardi's success on a super corrupt country radio. Sam Hunt is even promising a real country album for his 3rd album, which also could be due to Jon Pardi. If anyone is going to "save country music", Jon Pardi's name and face is plastered all over it.
Seriously? Those lyrics are tacky as hell and as bro as it gets. Hard pass, fiddle or no.
Bro as it gets? Go listen to Joe Diffie's new single. The lyrics are mild and cliche, but far from Bro. This is what country music has been for 60 years.
Bro as it gets is over the top, but still…
Gonna rock it right
No need to talk, I know what you want
And what you like
Cause I do too, yeah
Lame af
Pierre Brunelle
Spot on review.
I enjoy listening and singing his songs. They are fun, catchy with interesting instrumental.
I wouldn't have to turn off the radio if mainstream country would be as goog as Jon Pardi. He is certainly an exception to the rule! …
"It's been a wreck me week
Sixty plus from dawn to dusk
In the red dirt heat
Busting it up for a couple of bucks
But it ain't no thing
Just another day till I'm on my way
To them cool, cool sheets and you and me"
"Racking up the overtime hours
Loving how we're working on the night shift, baby
ROFLMAO
"I keep my nose on the grindstone, I work hard every day
Might get a little tired on the weekend, after I draw my pay
But I'll go back workin, come Monday morning I'm right back with the crew
I'll drink a little beer that evening,
Sing a little bit of these working man blues"
Scotty J
There have always been lyrics like this in country music. I mean go listen to some Earnest Tubb or Hank Thompson with a super critical cliché hunting eye. There really is nothing new left to write and sing about so to criticize any new music is just being overly critical in my opinion.
Trig, there is a country mile of distance between those two songs and you know it.
The closest Merle got to Pardi's song was "Livin' With the Shades Pulled Down," and there was none of this I worked sixty hours outside now let's enjoy the high thread count while we go at it all night baby bullsh*t.
Pardi is blowing smoke.
yeah ….that is one TERRIBLE trend-chaser of a ' lyric ' riddled with 'hip' (- hop ) -type language and pop phrasing ….all to say almost nothing . It sounds like it was written on a bathroom break and recorded in one take ( about 3 and a half minutes ) like so much of this assembly-line formulaic pop -country shit . Not a creative idea or melody to be found . If this was Joe Schmoe releasing this as the first single from his debut album it wouldn't see the light of day .
jessie with the long hair
Yeah, I don't know what Trigger was smoking when he compared those two songs?
I didn't compare the two songs. It was an illustration about how guys singling about working hard is an eternal theme of country music. I said in review the lyrics were "stock." I've agreed with others they're cliche. If you're looking for someone to defend the lyrics, you've come to the wrong place. That said, calling them "Bro" or "Not country" or "terrible" is way overboard in my opinion. Y'all need to get a whiff of your average radio single these days.
Yes Trigger, but this is more than "singling" about work. It's using the work as a vehicle to tell a woman you want to screw… with very bland lyrics. Never compare the Hag to shit like this. It's just wrong.
Hag is singing about working, not screwing. In Pardis song working is just setting context
JohnWayneTwitty
Any album with that Florida Georgia Line-esque abomination "Dirt On My Boots" will never be in my record collection. The few times that song happened at me, I honestly thought it was Florida Georgia Line. Even his good songs are unimpressive to me. At least he isn't Sam Hunt, I'll say that about him
"She Ain't In It" peaked at 21. What a joke. I knew it wouldn't do anything. He'll lose his record deal like Easton Corbin. So ridiculous. I love Jon Pardi. "She Ain't In It" was better than the other singles that did well performed by him. Just confirms what I already knew these kids today don't like country, it's too real/depressing for them. They like "Meant To be," which just says the same lines over and over. So sick of this foolish melody-driven-no-content-at-all lyrics. I hope to see Jon Pardi next week in South Carolina. It doesn't help him that he is not a super model. Keep fighting the good fight. Don't sell out like Dustin Lynch did.
Dustin Lynch is pretty much toast on radio after "Small Town Boy"
I have seen Jon Pardi several times and feel like he is the real deal. It doesn't sound contrived when he sings, adds a fiddle or steel guitar. I have said for several months that Jon Pardi is the next headliner. It seems that Kenny, Jason and Luke have overstayed their welcome and we need a new crop. I will be curious if he tours as the main act next year or will do another stadium/arena tour with a big-name act.
Bad One
I like the album, I have to listen to random "country" at my job and Pardi is a welcome relief from the tractor rap that is playing the rest of the time.
Yeah both of his albums have been in my rotation forever so much so that I lost count because all the songs are so good and thought Cowboy Hat was already a single….(oops! Not a big single guy) Don't know how the label could drop the ball on this one. That's a smash hit. The irony being the label fought with him to not wear a cowboy hat for the cover photo shoot and he had the balls to tell them to fuck off and the album took off! I like Night Shift but I doubt it'll even do as well She Ain't In It. 5th singles rarely do. He's opened his show with Paycheck and as a great opener it's just as good as Night Shift in my opinion. The Florida Georgia Line-esque comparisons are valid maybe in vocals but the Pardi/Brett Butler team are better songwriters let's hope they don't do anything stupid in the future. If it works, don't fix it!
I meant Pardi/Bart Butler team. My bad.
i haven't listened to this album yet, but in the context of country radio, this is not the worst thing to listen to by a long shot.. i don't get the hate
the only John Pardi song i have on my phone is What I Can't Put Down, i really dug that one and wished it had done better (maybe it did, i dont listen to the radio enough to know – i just heard it once and downloaded it)… so i'll probably check out California Sunrise eventually
As others have said, the chorus kind of hampers this song a bit. "Crazy" may be the most overused adjective in country music right now.
If someone told me this was FGL I'd have believed them .
Not a fan of this vocal…or the production ….or the song .
Sounds like this camp is trying too hard to please radio .
How 'bout turn down the distorto guitar , crank up the steel and give the solo to a fiddle .
Reminds me of Midland.
Would have released Cowboy Hat too. But as many have said Jon is the real deal. He and his band are GREAT live.
But he is in some treacherous waters with this song's performance and new content on the horizon.
I've said it before, Pardi's voice is annoying. Terrible. The songs aren't very good and the production is paint by numbers. It's a shame that this is the best we have to hold up at country radio.
He sounds like the former long haired now HIV positive looking "singer" from Florida Georgia Line
Its a damm shame "She ain't in it" didn't go further on radio. It's lightyears better than any song out there at the time.
Uh…it's a no for me, Dawg.
Dobe Daddy
I want to like Jon Pardi, but this particular cross between Luke Bryan and my least favorite George Strait song isn't for me. This song is what Alan Jackson would sound like if he rolled coal on his legacy, went bro, but didn't have the heart to fire his fiddle player.
I didn't listen. Did they get the auto tune button unstuck for this track?
And don't get me started on the compression they use on his vocal. He ends up sounding like a table saw cutting varying thicknesses of paneling with a masonry blade.
If traditional country was popular, Jon Pardi would be the Nickelback of it.
And he's still in the top 5% of what you hear on the radio. Which translates to barely listenable, at times.
GrantH
This is definitely an early 2000's-style country single. Like you said, not George Jones, but not bad either. If 90% of songs on country radio sounded like this I wouldn't mind at all.
Dirt Road Derek
It's not among my favorite tracks from "California Sunrise", but it's still pretty good.
WRS
This song is terrible, 7/10 was mighty generous.
BlackHawgDown
I just can't get into Jon Pardi. SAII is catchy but his nasally voice & autotune is just what FGL would actually sound like singing a country song
I don't think that it is fair to compare Jon Pardi to FGL's music. Jon Pardi released some good singles and his album was actually not bad at all. FGL released one country song (called Dirt) and that's it. The rest is just pop music mix with hip hop.
Huntermc6
Not the best song of the record but he already released that. I like Pardi, his vocals are a little weak for me to listen to him too much but I do give him props for recording some more traditional stuff. She Aint In It was one of my favorite songs over the last couple years.
Hope he doesn't follow Dustin Lynch's choices for music releases.
Absolutely the right choice for a single release! "She Ain't In It" was just too hardcore-nerdy and it bore most people too much. It didn't even show up on the Digital or Streaming charts, even though Radio tried to push it towards Top-20. "Night Shift" has already almost as many streams as "She Ain't In It" today, even before being promoted as the new single …
thebugman10
I'm just not a big fan of his voice.
Common Sense Bronson
that crap sounds just like any bro country drek you can find whilst picking through a pile of dung…
Not a great song by any stretch of the imagination but better than most. It's just a tide-over single while they ready a new album release.
I will be extremely disappointed in Jon Pardi if he doesn't maintain his traditional leanings. Especially if he tells us that "we experimented with our sound a bit but it's still us" and then releases his own Black. There would be no justifiable excuses, and it'd be hard to forgive.
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\section{\label{Intro}Introduction}
The criticality hypothesis states that biological neuronal networks are poised to operate at the critical threshold of a phase transition \cite{Beggs2008,  Chialvo2010, Tagliazucchi_2013, Mora2011}. It offers an explanation to characteristic scaling of power-law activity dynamics observed in such networks \cite{Beggs2003, Brochini2016, Haimovici2013}. This sheds light on the brain's information processing capabilities, as critical operation has been conjectured to optimize computational capability \cite{Bertschinger2004, Legenstein2007}, information transmission and storage \cite{Beggs2004, Haldeman2005, Lukovic2014}, and signal sensitivity and range \cite{Kinouchi2006, Shew2009}. While evidence for critical neuronal dynamics has been increasing \cite{Haimovici2013, Ma2019, Plenz2014}, an explanation  of how the brain could self-regulate at a precise critical point remains an open question  \cite{Beggs2012, Touboul2017}.

It has been shown that certain topological structures present in neuronal networks can cause the emergence of a critical region \cite{Munoz2010,Moretti2013}, substituting a single critical point, which would relax the necessity for fine-tuning parameters. Quenched disorder in networks can induce rare-region effects, resulting in critical behavior in an entire parameter region below the critical point, i.e., a \textit{Griffiths phase} \cite{Griffiths1969, Vojta2006}. Griffiths phases have been observed in synthetic hierarchical modular networks as well as in empirical and biologically inspired networks \cite{Moretti2013, Odor2015, Girardi_Schappo_2016}. Thereafter, it has been shown that sufficiently heterogeneous modular networks can support a Griffiths phase without hierarchy \cite{Cota2018}.

This study was driven by the following question: Given a self-regulating system poised at criticality, how would changes in its network topology affect its dynamics? Topological changes have been observed in functional brain networks of individuals in diverse states of consciousness, such as induced by psychedelics or anesthetics, in sleep or in coma \cite{Viol2017, Noirhomme2010, Schrouff2011, Andrade2011, Schroter2012, DeAraujo2012, Carhart-Harris2012, Palhano-Fontes2015}. The critical properties of a system are strongly determined by its topology \cite{David2006, Odor2004} and changes in topology can lead to an altered critical point. If the topology of a self-regulating system that only operates at criticality is changed, it would be forced to adapt. Maintaining critical operation could be achieved by either adjusting its parameters to the altered critical region, e.g. the rate of activity spread in brain networks, or by modifying its structure to revert the critical region to its previous parameter range.

In this paper, we investigate how topological properties influence dynamical processes in modular networks featuring a Griffiths phase. We study which network features are responsible for the emergence of a Griffiths phase and how one can manipulate its properties. We find a connection between the Griffiths phase width, i.e., the range of system parameter values that lead to power-law decay, and the network's topological properties. In short, we find that the Griffiths phase can persist in a changing topology and its width can be controlled via both intra- and intermodular connectivity. Alterations in the critical region that stem from a change in either connectivity can be counteracted by tuning the opposing structure. We argue that this could provide a mechanism of self-regulation in modular systems that operate at criticality and add to the functional benefits of modularity.

Our results give insight into how the structural properties of modular networks lead to the emergence of a Griffiths phase and connect it to established topological metrics. We highlight the importance of low global efficiency and propose that it is a central feature in this context. We suggest further inquiry into other artificial modular networks or real-world networks, such as empirical brain networks.

Finally, we discuss how an altered Griffiths phase could be connected to the topological changes observed in functional brain networks during altered states of consciousness. If consciousness relates to critical operation, could an increase in Griffiths phase width be connected to the reported changes in conscious quality under the influence of mind altering substances? Alongside, we briefly discuss how our results can help in understanding the persistence of a pandemic disease.

This paper is structured as follows: In the Methods section, we introduce the modular networks, the epidemiological model and our approach to analyze the Griffiths phase. In the Results section, we visualize the topological disorder in the modular networks. We show how a change in inter- and intramodular connectivity affects the Griffiths phase and topological network metrics. We conclude with a discussion of our results.

\begin{figure}
    \centering
	\subfloat[\label{fig:mmn}]{%
		\includegraphics[width=0.33\linewidth]{mmn_graph_k3.png}%
	}
	\subfloat[\label{fig:mmn_2}]{%
		\includegraphics[width=0.33\linewidth]{mmn_graph_k13.png}%
	}
	\subfloat[\label{fig:mmn_3}]{%
		\includegraphics[width=0.33\linewidth]{mmn_graph_k39.png}%
	}
	\caption{Schematic modular networks, showing two levels of distinct topological structure; ${M=20}$ modules of size ${N=10^3}$ are drawn from a power-law degree distribution with exponent ${\gamma=2.7}$ and connected via a regular intermodular network with (a) ${k_{\mathrm{inter}} = 3}$, (b) ${k_{\mathrm{inter}} = 11}$ and (c) ${k_{\mathrm{inter}} = 38}$ intermodular links per module. With increasing intermodular connectivity the modular networks converge to a non-modular power-law structure.}
	\label{fig:mmn_example}
\end{figure}

\section{Methods}

We explore how topological changes influence the Griffiths phase by simulating the Susceptible-Infectious-Susceptible (SIS) propagation model \cite{Hinrichsen2000, Pastor-Satorras2001} on synthetic modular networks. We choose the modular topology introduced in \cite{Cota2018} because, to our knowledge, it is the simplest modular structure reported in the literature that induces extensive Griffiths phase effects with different propagation models. The modular networks consist of a loosely connected ensemble of modules and offer a direct way to manipulate intra- and intermodular connectivity individually. An illustration of the networks can be seen in Figure~\ref{fig:mmn_example}.

\subsection{Constructing the modular networks}

We construct the networks by generating and randomly interconnecting $M$ modules of size $N$, each module drawn from the same power-law degree distribution $P_{\mathrm{intra}}(k) \sim k^{-\gamma}$. For simplicity, we generate the networks with modules of equal size and intermodular connections, leading to a random regular intermodular structure of degree $k_{\mathrm{inter}}$. This architecture is referred to as a \textit{monodisperse modular network} \cite{Cota2018}. Detailed instructions to generate the networks are given in \ref{appendix_networks}.

We consider networks with ${M=1000}$ modules consisting of ${N=1000}$ nodes each. The minimum degree in each module is ${k_{\mathrm{min}}=3}$, and the cut-off is set to ${k_{\mathrm{max}}}$, corresponding to the average maximal degree ${\langle k_{\mathrm{max}}(N) \rangle  \sim N^{\frac{1}{\gamma - 1}}}$ of a power-law network generated by the configuration model \cite{Catanzaro2005}. This cut-off leads to a distribution of critical points in individual module realizations, creating topological disorder within the modular networks. A discussion of how the cut-off choice impacts SIS dynamics in power-law networks is given in \cite{Cota2016}.

\subsection{Dynamical spreading process}
For the activity density decay analysis, we utilize the SIS spreading process. It was originally introduced as an epidemiological model for diseases that do not confer any immunity \cite{Anderson_May_1991}. A population is compartmentalized into susceptible and infectious members. Infectious members spread a disease to susceptible members with rate $\lambda$ and recover with rate $\mu$. After recovery an infectious member is again susceptible to reinfection. The SIS model features an absorbing state phase transition: A \textit{critical spreading rate} $\lambda_c$ separates a stationary from an absorbing phase. Above $\lambda_c$, the system converges to a stable density of infected/active members $\rho$. Below $\lambda_c$, the disease/activity eventually dies out. Due to its minimal assumptions, the SIS process is readily applicable in contexts that go beyond epidemiology, such as the spread of computer viruses or, as in our case, the activity in neuronal networks.

In a network model each node represents a member of the population and infected nodes spread activity to every susceptible neighbor node, which results in a high susceptibility to degree variations. The SIS process is a continuous-time Markov chain and its dynamics in a network can be simulated with the statistically exact Gillespie algorithm \cite{Bogu__2014}. In the present study, we use an optimized version of the algorithm that reduces the computational load of the simulation \cite{Cota2017}. Our implementation follows the description in \cite{Cota2018} and is detailed in \ref{appendix_SIS}.

\subsection{Susceptibility}
An important quantity in the analysis of complex, coupled systems is the \textit{susceptibility}. It diverges when a system undergoes a phase transition in dynamical spreading processes and can be utilized to calculate the critical threshold. We consider the susceptibility defined as follows \cite{Ferreira2012, Binder2010}:

\begin{equation*}
\chi = N \frac{\langle \rho^{2} \rangle - \langle \rho \rangle^2}{\langle \rho \rangle}.
\end{equation*}
The average activity density ${\langle \rho \rangle}$ was computed via the quasistationary (QS) method, where the system is kept in a QS state by returning it to a previous state whenever the activity dies out \cite{DeOliveira2005}. During the initial $m$ time steps of a simulation the state of the system is saved.
At each subsequent time step, a randomly chosen saved system state is overwritten by the current state with probability $p_{\mathrm{QS}}$. If the process reaches the absorbing state with ${N_{\mathrm{inf}} = 0}$, the system is returned to a randomly chosen saved state.

We used ${m = 70}$ saved states and an overwriting probability of ${p_{\mathrm{QS}} = 0.01}$, for which the system converges to a QS state. Then, the $n$-th moment of activity density is estimated by taking the respective temporal average of the steady state
\begin{equation}
    \langle \rho (t)^n \rangle = \frac{1}{T}\sum_{t=t^{'}}^{T} \rho (t)^n,
\end{equation}
where $T$ denotes the observation period, and $t^{'}$ is set large enough to discard the initial dynamical transient before the QS state is reached.

\subsection{Activity density decay analysis}
We study the Griffiths phase by performing an activity density decay analysis, as described in the following. Starting with a fully active network, we monitor the density of active nodes $\rho$ over time, averaged over multiple runs and network realizations. We use the spreading rate $\lambda$ as a control parameter and $\rho$ serves as the order parameter. By exploring a range of $\lambda$ values we observe an extended region showing power-law decay of $\rho(t)$ in the transition from subcritical absorbing states - characterized by exponential decay - to supercritical steady states. This extended region of slow decay is the signature of a present Griffiths phase \cite{Moretti2013, Cota2018}.

The range $\Delta \mathrm{GP}$ of the power-law decay region is determined by the margin between the critical point $\lambda_{\mathrm{c}}$, defined as the highest value of $ \lambda$ that does not lead to a steady state, and the lowest spreading rate that shows power-law decay $\lambda_{\mathrm{low}}$, determined by the topological properties of the modules:
\begin{equation}
 \Delta \mathrm{GP} = \lambda_{\mathrm{c}} - \lambda_{\mathrm{low}}.
\end{equation}
Increasing the intramodular connectivity of a modular network to the limit at which it becomes non-modular, its critical point converges to the lower boundary of the Griffiths phase ${\lambda_{\mathrm{c}}\approx\lambda_{\mathrm{low}}}$, annulling any Griffiths phase effects. We therefore identify $\lambda_{\mathrm{low}}$ as the critical point of this non-modular network that has the same structure as a single module, but the size of all modules combined.

\subsection{Determining $\lambda_{\mathrm{c}}$ and $\lambda_{\mathrm{low}}$}
Susceptibility diverges when a system undergoes phase transition in dynamical spreading processes and can be utilized to calculate the critical threshold \cite{Binder2010}. A Griffiths phase is accompanied by an extended region of high susceptibility, which makes this approach challenging. We therefore measure $\lambda_{\mathrm{c}}$ by increasing $\lambda$ in the density decay simulations until a value is reached that shows a steady state, and is therefore above the critical point. $\lambda_{\mathrm{c}}$ is then taken as the value midway between the first value above the critical point and the last value below it. The range between these rates is taken as the error. It should be noted that the error is not a standard deviation, since the likelihood of finding the true critical point within the error region does not have a Gaussian profile.

At the lower end of the Griffiths phase the power-law decay transitions into exponential decay continuously. To determine a distinct $\lambda_{\mathrm{low}}$ that separates the regions within and below the Griffiths phase, we additionally take into account how the decay behavior is influenced by changes in intermodular connectivity. By increasing the intermodular connectivity, we lower $\lambda_{\mathrm{c}}$ until we reach a non-modular structure that is equivalent to a single module of size ${M\cdot N}$ and has a critical point $\lambda_{\mathrm{c'}}$. The decay behavior for any $\lambda$ below $\lambda_{\mathrm{c'}}$ is not significantly affected by the change in intermodular connectivity (see supplementary material). However, any $\lambda$ above $\lambda_{\mathrm{c'}}$, that lies in the Griffiths phase at low $k_{\mathrm{inter}}$, will lead to a steady state when $k_{\mathrm{inter}}$ is increased. Therefore ${\lambda_{\mathrm{c'}}=\lambda_{\mathrm{low}}}$ is the natural lower limit of the Griffiths phase.

In short, to determine $\lambda_{\mathrm{low}}$, we generate non-modular networks of size ${M \cdot N}$ and determine their critical point via susceptibility peaks. Note that the modular networks can be seen as diluted power-law networks, similar to the diluted Ising lattice, in which the Griffiths phase was originally proposed \cite{Griffiths1969}.

\subsection{Averaging over multiple networks}
The intermodular links are assigned at random in each network realization, which leads to a slightly varying $\lambda_{\mathrm{c}}$ and differing decay behavior, when $k_{\mathrm{inter}}$ is increased. Above ${k_{\mathrm{inter}} = 10}$ it is necessary to average over multiple networks to observe consistent power-law decay within the Griffiths phase. However, by increasing the number of modules to ${M=10^4}$ we can observe a consistent Griffiths phase in single network realizations up to ${k_{\mathrm{inter}} = 100}$. If we increase the intermodular connectivity beyond ${k_{\mathrm{inter}} = 100}$ the decay transitions into the decay of a non-modular power-law network even for very large modular networks. Further details can be found in Figure~\ref{fig:sup_decay} of the supplementary material.

\subsection{Topological metrics}
The structural properties of the modular networks change when generated in different configurations. To characterize these changes we utilize various topological metrics. Global efficiency \cite{Rubinov2010} is defined as

\begin{equation}
E = \frac{1}{N(N-1)} \sum_{i \neq j \in G} \frac{1}{d(i,j)},
\end{equation}
with total number of nodes $N$ and geodesic distance ${d(i,j)}$ from node $i$ to $j$ in graph $G$. It measures how well information can be exchanged within a network. It scales inverse to the characteristic path length and is high in integrated networks with low diameter and low when a network is segregated.

We also calculate the geodesic entropy of the networks. Geodesic entropy \cite{Viol2019} is a measure for how distributed the geodesic distances for a given node to all other nodes are. We calculate it by first determining the probabilities $p_i(r)$ that a given node ${i \in G}$ is of distance ${d(i,j) = r}$ to a randomly chosen node ${j \in \bar{G}}$ with ${\bar{G}=\{ j|j \in G \setminus \{i\} \}}$

\begin{equation}
    p_i(r) = \frac{1}{N-1}\sum_{j\in \bar{G}}\delta_{d(i,j),r},
\end{equation}
where $r$ lies in the interval ${1 \leq r \leq r_{\mathrm{max}}}$ with ${r_{\mathrm{max}} = \mathrm{max}_{j \in \bar{G}}(d(i,j))}$. The geodesic entropy is then given by

\begin{equation}
    s_i[p_i] = -\sum^{r_{\mathrm{max}}}_{r=1}p_i(r)~\mathrm{log}~p_i(r)
\end{equation}
and the characteristic geodesic entropy by taking the average over all nodes

\begin{equation}
    S_{\mathrm{geo}} = \sum^{N}_{i=1}s_i.
\end{equation}
The geodesic entropy allows us to quantify entropic changes due to structural properties, such as altering the intermodular connectivity in the modular networks. This leaves the degree distribution unchanged and can not be measured in the entropy of the degree distribution.

To measure entropic changes connected to the intramodular connectivity, we use the degree entropy

\begin{equation}
    S_{\mathrm{deg}}[P(k)] = -\sum^{k_{\mathrm{max}}}_{k=1}P(k)~\mathrm{log}~P(k).
\end{equation}
Another quantity we evaluate is the extended, local clustering coefficient \cite{Abdo2006}. It reveals neighbor relations that go beyond direct connectivity:
\begin{equation}
c^d_i = \frac{\left|\{\{u,v\};u,v \in N_i | d_{\bar{G}} (u,v) = d\}\right|}{{|N_i|\choose 2}},
\end{equation}
with the set of neighbors $N_i$ of node $i$. It measures the ratio between the number of pairs in $N_i$ whose distance is $d$ in ${G(V\setminus \{i\})}$ and the total number of pairs of neighbors. At ${d=1}$ it returns the standard clustering coefficient. We calculate the extended clustering coefficient with a function from the graph-tool library in python \cite{peixoto_graph-tool_2014}.

\section{\label{Results}Results}

\subsection{Module susceptibility}

\begin{figure}
    \centering
    \subfloat[\label{fig:crit_fluct_pl0}]{%
		\includegraphics[width=0.5\linewidth]{suscep_range_pl27o0.pdf}%
	}
	\subfloat[\label{fig:crit_fluct_pl2}]{%
		\includegraphics[width=0.5\linewidth]{suscep_range_pl27o2.pdf}%
	}
	\caption{Dynamic susceptibility curves of 60 individual modules of size ${N=10^3}$ with ${\gamma = 2.7}$ (colored curves) and their average (black curve). The intramodular connectivity in (b) is reduced by subtracting 2 from the degree of each node during the generation of the module.}
	\label{fig:crit_fluct}
\end{figure}

Figure~\ref{fig:crit_fluct} shows the susceptibility of individual network modules. Individual module realizations have large variations in the number and connectivity of high degree outlier nodes \cite{Cota2016}. This leads to varying critical points with the SIS, which can be seen in shifting peaks of dynamical susceptibility. An extended region of high susceptibility is revealed by averaging the susceptibility of an ensemble of modules. This expresses how locally varying dynamics, caused by topological disorder, build the basis of the Griffiths phase.

\subsection{Changing the intermodular connectivity}

\begin{figure}
    \centering
	\subfloat[\label{fig:gp_cross1}]{%
	\includegraphics[width=0.49\linewidth]{gp_over_k_pl0.pdf}%
    }\hfill\\
	\subfloat[$k_{\mathrm{inter}}=3$\label{fig:mod_c3_decay}]{%
		\includegraphics[width=0.33\linewidth]{sis_decay_mmn_pl0_1000x1000_c3.pdf}%
	}\hfill
	\subfloat[$k_{\mathrm{inter}}=40$\label{fig:mod_c40_decay}]{%
		\includegraphics[width=0.33\linewidth]{sis_decay_mmn_pl0_1000x1000_c40.pdf}%
	}\hfill
	\subfloat[$k_{\mathrm{inter}}=100$\label{fig:mod_c100_decay}]{%
		\includegraphics[width=0.33\linewidth]{sis_decay_mmn_pl0_1000x1000_c100.pdf}%
	}\hfill
	\caption{(a) The increase in $k_{\mathrm{inter}}$ leads to a decline in $\lambda_{\mathrm{c}}$ and $\Delta \mathrm{GP}$, as the power-law decay below $\lambda_{\mathrm{c}}$ remains unchanged, with ${\lambda_{\mathrm{low}}=0.10}$. (b-d) Activity density decay simulations in modular power-law networks with exponent ${\gamma = 2.7}$ with ${M=N=10^3}$ modules and nodes with equal intra- and increasing intermodular connectivity, averaged over ${7-350}$ runs in 10 networks each. The lowest decay lines correspond to $\lambda_{\mathrm{low}}$. $\lambda_{\mathrm{c}}$ is located between the two highest decay lines.}
	\label{fig:mod_decay_inter}
\end{figure}

Figure~\ref{fig:gp_cross1} shows how the Griffiths phase width depends on intermodular connectivity. We randomly distribute a fixed number $k_{\mathrm{inter}}$ of new intermodular connections per module, while keeping the degree distribution and intramodular connectivity unchanged. The number of added intermodular links is small enough to not significantly change the networks modularity.

The increase in $k_{\mathrm{inter}}$ leads to a reduction of the Griffiths phase width $\Delta \mathrm{GP}$.
Figure~\ref{fig:mod_decay_inter}b-d display detailed activity density decay simulations for modular networks with different numbers of intermodular connections (highlighted in Figure~\ref{fig:gp_cross1}). The reduction of $\Delta \mathrm{GP}$ stems from the reduction of $\lambda_{\mathrm{c}}$, since  $\lambda_{\mathrm{low}}$ remains constant.

\subsection{Changing the intramodular connectivity}

Introducing or removing intermodular links has a consistent influence on dynamic behavior, because of the regular intermodular structure. The influence of intramodular links depends on where the links are attached to: High-degree nodes have a stronger individual influence on the SIS dynamics than low-degree nodes. We therefore lower intramodular connectivity via two approaches: The first is to reduce each node degree ${k > 3}$ by a constant value, maintaining the minimal degree of ${k_{\mathrm{min}} = 3}$, which creates a shift in the degree distribution. We named this approach the \textit{offset method}. This method affects every node in the network and since most nodes are of low degree, it changes the intramodular connectivity via the low-degree nodes.

\begin{figure}
    \centering
    \subfloat[\label{fig:gp_decay}]{%
	    \includegraphics[width=0.49\linewidth]{gp_over_k.pdf}%
    }\hfill
	\subfloat[\label{fig:lc_decay}]{%
		\includegraphics[width=0.49\linewidth]{lc_over_k.pdf}%
	}
	\caption{(a) $\Delta$GP and (b) $\lambda_{\mathrm{c}}$ reduction in modular power-law networks with exponent ${\gamma = 2.7}$ with ${M=N=10^3}$ modules and nodes with increasing intermodular connectivity at different levels of intramodular connectivity reduction. Introducing a degree offset shifts the decline of  $\Delta$GP and $\lambda_{\mathrm{c}}$ into a different parameter region. Density decay simulations for equal $\lambda_{\mathrm{c}}$ along the black line are shown in Figure~\ref{fig:counter_tuning}.}
	\label{fig:mod_decay_intra}
\end{figure}

The reduction of intramodular connectivity via the offset method increases $\lambda_{\mathrm{c}}$, such that the whole curve $\lambda_{\mathrm{c}}$ versus $k_{\mathrm{inter}}$ moves upwards (cf. Figure~\ref{fig:mod_decay_intra}). $\lambda_{\mathrm{low}}$ is also increased, but less than $\lambda_{\mathrm{c}}$ which leads to an increase in $\Delta$GP with lowered intramodular connectivity. One can observe that at low intermodular connectivity, $\lambda_{\mathrm{c}}$ and $\Delta \mathrm{GP}$ are more susceptible to changes in inter- than intramodular links. This behavior can be better understood by considering how topological metrics are affected by the changes in connectivity, in particular global efficiency.

Our second approach to lower the intramodular connectivity is to increase the power-law exponent of the degree distribution $\gamma$. This leads to a lower chance to draw high-degree nodes, which reduces connectivity via the outlier nodes of the modules. This method leads to an increase in $\lambda_{\mathrm{c}}$ and $\lambda_{\mathrm{low}}$ at the same rate, which moves the Griffiths phase to a different parameter region (cf. Figure~\ref{fig:gp_over_gamma}). Both methods increase $\lambda_{\mathrm{c}}$ and reduce the average degree $\langle k \rangle$, but since a higher $\gamma$ reduces $\langle k \rangle$ via predominantly high degree nodes, it has a stronger influence on $\lambda_{\mathrm{c}}$ per removed link, as we can see by comparing Figure~\ref{fig:crit_over_off}b.

\begin{figure}
    \centering
    \subfloat[\label{fig:crit_over_off}]{%
		\includegraphics[width=0.5\linewidth]{crit_over_off.pdf}%
	}
	\subfloat[\label{fig:gp_over_gamma}]{%
		\includegraphics[width=0.5\linewidth]{gp_over_gamma.pdf}%
	}
    \caption{The upper and lower limit of $\Delta$GP in modular power-law networks with ${M=N=10^3}$ modules and nodes at (a) ${k_{\mathrm{inter}} = 3,11,38}$ (top to bottom lines) and (b) ${k_{\mathrm{inter}} = 10}$ with decreasing intramodular connectivity. (a) Reducing the degree of each node leads to an increase in $\Delta$GP as $\lambda_{\mathrm{c}}$ increases steeper than $\lambda_{\mathrm{low}}$. The black bar marks equal critical point with dynamics showcased in Figure~\ref{fig:counter_tuning}. (b) Increasing the power-law exponent $\gamma$ of the degree distribution reduces the degree of outlier nodes. It keeps $\Delta$GP constant and moves the Griffiths phase to a different parameter region. $\lambda_{\mathrm{c}}$ scales as ${\sim 1/\sqrt{k_{\mathrm{max}}}}$, in accordance with quenched mean-field theory (QMF) \cite{Castellano_2010}.}
	\label{fig:gp_over_intra}
\end{figure}

\subsection{Maintaining a stable critical region}

\begin{figure}
    \captionsetup[subfigure]{justification=centering}
    \centering
	\subfloat[$k_{\mathrm{inter}} = 3$, offset-0\label{fig:mod_pl0_c3_decay}]{%
		\includegraphics[width=0.33\linewidth]{sis_decay_mmn_pl0_1000x1000_c3v2.pdf}%
	}
	\subfloat[$k_{\mathrm{inter}} = 11$, offset-1\label{fig:mod_pl1_c12_decay}]{%
		\includegraphics[width=0.33\linewidth]{sis_decay_mmn_pl1_1000x1000_c11.pdf}%
	}
	\subfloat[$k_{\mathrm{inter}} = 38$, offset-2\label{fig:mod_pl2_c38_decay}]{%
		\includegraphics[width=0.33\linewidth]{sis_decay_mmn_pl2_1000x1000_c38.pdf}%
	}
	\caption{Activity density decay at the upper and lower limit of the Griffiths phase in modular power-law networks with exponent ${\gamma = 2.7}$ with ${M=N=10^3}$ modules and nodes and intra- and intermodular connectivity as marked by the black lines in Figure~\ref{fig:mod_decay_intra} and \ref{fig:crit_over_off}. The networks have intra- and intermodular connectivity tuned contrary to each other and have the same $\lambda_{\mathrm{c}}$ and similar power-law decay regions. A higher offset leads to an increased $\lambda_{\mathrm{low}}$ and decreased $\Delta$GP, a higher $k_{\mathrm{inter}}$ leads to faster decay to steady states above $\lambda_{\mathrm{c}}$ and shorter lifetimes below. From left to right the networks global efficiency increases and entropy decreases, as marked in Figure~\ref{fig:eff_over_k1} and \ref{fig:geoent_kinter}.}
	\label{fig:counter_tuning}
\end{figure}

Figure~\ref{fig:mod_decay_intra} shows that network configurations with different connectivity can have equal values of either $\lambda_{\mathrm{c}}$ or $\Delta$GP, if $k_{\mathrm{inter}}$ and offset are tuned accordingly. In Figure~\ref{fig:counter_tuning} we see the density decay of three networks with varying topology tuned to equal $\lambda_{\mathrm{c}}$. The networks at higher offsets have an increased $\lambda_{\mathrm{low}}$, and therefore reduced $\Delta$GP, but the three networks still have a significant overlap in power-law decay region, despite highly varying global efficiency and both geodesic and degree entropy (cf. Figure~\ref{fig:eff_over_k1},~\ref{fig:geoent}).

\subsection{Measuring the topological changes}

Increasing intermodular connectivity leads to a decrease in the average shortest path length between nodes and an increase in global efficiency. Figure~\ref{fig:eff_over_k1} depicts the relation between global efficiency, intermodular connectivity and the Griffiths phase. The increase of global efficiency due to the increase in intermodular connectivity is particularly strong at low intermodular connectivity, when the modular networks are close to segregation. The reason for that lies in the presence of a percolation phase transition at ${k_{\mathrm{inter}}=3}$ \cite{Dorogovtsev2008}. We observe that global efficiency can serve as the order parameter of the percolation phase transition. Close to ${k_{\mathrm{inter}}=3}$ global efficiency is therefore highly sensitive to changes in $k_{\mathrm{inter}}$. The inset in Figure~\ref{fig:eff_over_k1} shows that this sensitivity extends to $\lambda_{\mathrm{c}}$ and $\Delta$GP, as they scale linearly with global efficiency.

Geodesic entropy is also connected to the average path length and decreases with increasing intermodular connectivity, as the variability of shortest paths decreases (cf. Figure~\ref{fig:geoent_kinter}). In the inset plot we can see that in modular networks a higher geodesic entropy correlates with a larger Griffiths phase width. Degree entropy on the other hand is higher with larger intramodular connectivity (cf. Figure~\ref{fig:geoent_intra}).

\begin{SCfigure}
	\centering
	\includegraphics[width=0.5\linewidth]{eff_over_k.pdf}
	\llap{\shortstack{%
			\includegraphics[scale=.3]{lc_over_eff.pdf}\\
			\rule{0ex}{0.4in}%
		}
		\rule{0.3in}{0ex}}
	\caption{Global efficiency in modular power-law networks with exponent ${\gamma = 2.7}$ with ${M=N=10^3}$ modules and nodes, with increasing intermodular connectivity. At ${k_{\mathrm{inter}} = 3}$ the networks shift from disconnected rings of modules to a connected small-world, which leads to a drastic reduction in average path length. Global efficiency scales inverse to average path length and increases non-analytically from zero to a finite value. This marks the presence of a percolation phase transition \cite{Dorogovtsev2008} with global efficiency as the order parameter. The coloring distinguishes the values at which extended power-law decay was observed (blue) and where it transitions into exponential decay (green). The density decay at the orange triangles in is shown in Figure~\ref{fig:counter_tuning}.}
	\label{fig:eff_over_k1}
\end{SCfigure}

\begin{figure}
    \centering
	\subfloat[]{\label{fig:geoent_kinter}%
		\includegraphics[width=0.50\linewidth]{geoent_over_kinter.pdf}
		\llap{\shortstack{%
			\includegraphics[scale=.28]{lc_over_geoent.pdf}\\
			\rule{0ex}{0.67in}%
		}
		\rule{0.15in}{0ex}}%
	}
	\subfloat[]{\label{fig:geoent_intra}%
	    \includegraphics[width=0.50\linewidth]{deg_entropy.pdf}%
	}
	\caption{(a) Geodesic entropy at ${\gamma=2.7}$ with increasing intermodular connectivity and (b) degree entropy with decreasing intramodular connectivity in modular power-law networks with ${M=N=10^3}$ modules and nodes. Geodesic entropy is not significantly affected by changes in intramodular connectivity and degree entropy is independent of intermodular connectivity. The density decay at the orange triangles in (a) is shown in Figure~\ref{fig:counter_tuning}.}
	\label{fig:geoent}
\end{figure}

Despite a reduction in average degree, when intramodular connectivity is reduced, local clustering and efficiency remain unchanged. This indicates that local clustering is not responsible for the changes observed in the Griffiths phase. We therefore evaluate the extended clustering coefficient \cite{Abdo2006}, which is a generalization of the traditional local clustering coefficient. While the local clustering coefficient measures connectivity in the direct neighborhood of a node, the extended clustering coefficient can additionally detect clusters of greater distance. Figure~\ref{fig:ext_clustering} shows that the reduction of intramodular connectivity increases the distance of extended clustering and therefore leads to a less clustered structure. A change in intermodular connectivity does not affect extended clustering. On the other hand, intramodular connectivity does not affect overall efficiency.

\begin{SCfigure}
	\centering
	\includegraphics[width=0.5\linewidth]{ext_clustering.pdf}
	\caption{Extended clustering in modular power-law networks with exponent ${\gamma = 2.7}$ with ${M=N=10^3}$ modules and nodes at ${k_{\mathrm{inter}}=3}$ and decreasing intramodular connectivity. The standard averaged local clustering coefficient (${d=1}$) implies no clustering and remains unchanged with rising degree offset. Yet deeper measures (${d=3,4}$) reveal a clustered structure that shifts to a more distant clustering (${d=5,6}$) with rising degree offset.}
	\label{fig:ext_clustering}
\end{SCfigure}

\section{\label{Discussion}Discussion}

\noindent
The detection of a Griffiths phase in complex networks appears to be an important step towards understanding critical behavior in biological systems \cite{Moretti2013}. An extended critical region in brain-like networks supports the hypothesis that the brain operates at criticality \cite{Beggs2008} and relaxes the necessity for fine-tuning parameters around a precise critical point. Previous work demonstrates that structural heterogeneity and modularity, both features of human brain networks \cite{Meunier2010, Sporns2010, Lopez2016, Gallos2012}, are sufficient conditions to enable a Griffiths phase \cite{Cota2018}. Functional brain networks have been shown to change significantly in different mind conditions, such as sleep, coma, anesthesia or under the influence of psychedelics \cite{Viol2019,Noirhomme2010, DeAraujo2012, Carhart-Harris2012, Palhano-Fontes2015}. Studies indicate a neural correlate between brain network integration and consciousness states \cite{Andrade2011, Schrouff2011, Carhart-Harris2016, Luppi2019, Luppi2021} which some quantify using topological network metrics such as the clustering coefficient, local and global efficiency and entropy \cite{Viol2017, Schroter2012, Viol2019}.  We argue whether the observed changes in topological metrics, especially during psychedelic states, can influence critical behavior by altering the expression of an existing Griffiths phase.

We construct modular networks with varying intra- and intermodular connectivity and explore numerically how the connectivity structure affects the critical behavior of a spreading process and evaluate the link between the observed changes and topological network metrics. We show that an increase in either connectivity leads to a decline of the networks critical point, hence a reduction of the Griffiths phase width. In addition, a decrease in intramodular connectivity leads to a slight increase in the lower limit of the Griffiths phase. Intra- and intermodular connectivity therefore offer two independent ways of controlling critical dynamics and can be used as a tuning mechanism for criticality. If one connectivity structure is changed, we can adapt the opposing structure, leading to networks with differing topology, but identical critical points and similar Griffiths phase regions.

We observe that global efficiency is a central measure in the emergence of a Griffiths phase. The Griffiths phase width scales linearly with global efficiency in the modular networks. Global efficiency captures the reduced information exchange at low intermodular connectivity which enables rare regions effects.

We find that a decreased intermodular connectivity leads to an increase in entropy, even more so when intramodular connectivity is adapted to counter changes in criticality. Recent researches suggests that psychedelics disrupt the hierarchy of brain network topology \cite{barnett2020,alonso2015} and increase network segregation, indicated by increased shortest path length \cite{Viol2017,Luppi2021} and decreased global efficiency \cite{Viol2017}. We argue whether these networks would exhibit a larger Griffiths phase width, similar to the synthetic networks we present here, and whether this increase could explain the enhanced entropy observed in functional brain networks of individuals under psychedelic influence \cite{Viol2017,Viol2019,Carhart-Harris2016,Tagl2014}.

We hypothesize that the topological changes observed in functional human brain networks during altered states of consciousness may be connected to a mechanism that ensures critical operation. Either by tuning topological parameters to maintain a stable critical region or by extending the critical region. An increased Griffiths phase width via a heightened critical point moves activity rates that were previously supercritical to the critical region. This increases the dynamical parameter range in the networks and could explain the increase of entropy observed during psychedelic states. Further studies should clarify our hypothesis by reproducing these results in networks with more empirical parameters.

We highlight some limitations of our work. The networks are dynamically heterogeneous with the SIS due to the power-law distribution within the modules. Different propagation models, such as the contact process, would require a different intramodular structure to achieve a distribution of critical points among the modules \cite{Cota2018} and the structure manipulation would have to be adapted. We expect, however, that the modulation of the critical point is reproducible in any network with distinct intra- and intermodular structures and a spreading process that can be separately affected by intramodular properties and changes in average path length created through alterations in intermodular connectivity. Intramodular connectivity can be altered via either low or high degree nodes. Decreasing the degree of each by node by a chosen value affects predominantly low degree nodes and leads to an increase in the Griffiths phase width. This method is only appropriate for small off-sets because large values can distorts the power-law distribution. By increasing the power-law exponent of the degree distribution we focus the connectivity reduction to high degree nodes. This keeps the Griffiths phase width constant and moves the Griffiths phase to a different parameter region. Further research could be focused on how both width and parameter region of the Griffiths phase could be continuously controlled via the intramodular distribution.

An interesting point of further study is if our results are applicable to the spread of infectious diseases, such as the current outbreak of SARS-CoV-2.
If we can model the social networks of international communities as sufficiently heterogeneous modular networks, there is a possibility for the emergence of Griffiths effects. This could explain unexpectedly long lifetimes of spreading processes, despite a sub critical spreading rate.

\section{Conclusion}

To conclude, we show that the extension of a critical region in modular networks can be controlled via both intra- and intermodular connectivity individually. Changes in critical dynamics that stem from a change in either connectivity can be counteracted by tuning the opposing structure. We find that low global efficiency is central in the emergence of a Griffiths phase and connect our results to the observed changes in functional brain networks in altered states of consciousness.

\newpage

redpajama_set_name: RedPajamaArXiv


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Thank you for your interest in the Virginia STEAM Academy. We will not host Summer STEAM 2018. We are focusing our limited resources on establishing the early college and career initiative. We wish you continued joyful learning.
The first day of camp you said that your goal was to exceed our expectations. Six days later I had new friends and a better understanding of physics. Because of your hard work and dedication to VA STEAM my experience was far beyond anything I could have ever expected.


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You are here: Home / News / News / Delicious dog hydration drink Furr Boost celebrates its first annivers...
Delicious dog hydration drink Furr Boost celebrates its first anniversary
The popular healthy pet hydration drink, Furr Boost, has celebrated its first anniversary after a successful 12 months of keeping the nation's pooches healthy, happy and hydrated.
Created by Louise Toal, a former food scientist and dog mum, Furr Boost was born when her 18-month-old beagle, Phoebe, became unwell. Louise quickly realised that the junk in Phoebe's food was adding to her health issues, so set about creating a healthy accompaniment to her diet to add much-needed hydration, nutrients, and natural goodness.
The tasty treats provide a junk-free, delicious complement to dogs' daily water intake and aids a host of issues like anxiety, digestion, and immunity, as well as supporting a healthy metabolism, skin, and coat.
Since launching in 2020, Furr Boost has gained a loyal customer base of dog parents whose Furr Babies lap up the delicious drinks, receiving over 93% five-star reviews on Trust Pilot and over 1,000 Instagram followers.
Its first year has also seen the Furr Boost team hit the road for a host of dog-friendly fun, showcasing their drinks at a host of events including North East Dog Festival, PATS Telford, Paws in the Park and Dog Fest, as well as the first ever Dog Fest Christmas.
Louise commented: "We are proud to be celebrating such a significant milestone, after what has been a fantastic year for Furr Boost. Since launching, we have received some fantastic feedback from Furr Babies loving our drinks and had the privilege to meet and talk to our amazing customers at a host of shows and events.
"What started out as a mission to improve our own dogs' health has truly flourished over the past twelve months, and knowing that there are so many Furr Babies out there who are loving our drinks while benefiting from better health and hydration is just fantastic."
There are three tasty Furr Boost flavours available which are all made from human grade, natural ingredients with extra added vitamins, minerals, and oils: beef, broccoli and blueberry, chicken, butternut squash and cranberry and pork, sweet potato, and apple. All drinks are completely free from artificial preservatives and colourants, so there are no hidden ingredients.
Available in handy Tetra Pak cartons, the drinks can be served on their own, and can also be added onto food or made into fun frozen treats.
For more information about Furr Boost visit https://furrboost.com/
https://i0.wp.com/www.companionlife.co.uk/wordpress/wp-content/uploads/2021/12/2.jpg?fit=767%2C766&ssl=1 766 767 Companion Life http://www.companionlife.co.uk/wordpress/wp-content/uploads/2018/03/companion-life-logo-300x203.png Companion Life2021-12-13 13:16:072021-12-13 13:16:07Delicious dog hydration drink Furr Boost celebrates its first anniversary
Tickets now on sale for Crufts 2022 Christmas gift guide for pet owners


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Obituary: Dianne M. Murphy, 63
Dianne M. Murphy, a longtime Wilton resident, died in her home on Saturday, Oct. 24 at the age of 63.
Dianne was the oldest of three, born on July 25, 1952, to Gerald and Anne Murphy. She later graduated from the University of New Mexico with a degree in Psychology. Although Dianne spent many years in the corporate world, she loved spending time in the garden and, in particular, playing golf. After retiring in 2009, if you didn't see her walking the course filling in divots, you could find her volunteering at the Wilton Turnover Shop or traveling with her partner and friends.
Dianne was a courageous woman who passed away surrounded by her partner of 20 years, Ben Briggs, and daughter and son-in-law, Laura and Mike Leach. She is also survived by her mother, Anne Murphy; sister Bridia and her son Ryan; step and extended family Katie, Tom, Anna and Henry Wilder, Sara, Trent, Elizabeth and Grace Staats, Lauren, Gary, Andrew and Bryan Paxton, Sara, Jimmy, Meghan, Ellie Newman and Ben, Lisa and Sean Briggs. She is preceded in death by her father, Gerald, brother, Matthew, and stepdaughter, Karen.
Visiting hours will be held Wednesday, Oct. 28, 2015 from 4 to 8 p.m., at Hoyt Funeral Home, 199 Main Street, New Canaan, Conn. A funeral mass will take place at Our Lady of Fatima on Thursday, Oct. 29, at 10 a.m., immediately followed by a celebration of Dianne's life at Silvermine Golf Club. All are welcome to attend. In lieu of flowers, Dianne's family requests that donations be made to:
The Turnover Shop, 98 Old Ridgefield Rd., Wilton, CT 06897 or Whittingham Cancer Center,
c/o Norwalk Hospital Foundation, 34 Maple Street, Norwalk, CT 06856.
For directions or online condolences, please visit hoytfuneralhome.com.


Report certification requires powerful reporting tools to accurately certify a cell-site. Without certifying the report, you run the risk of returning to the site to re-measure results to determine accuracy.
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>Exhibits >Past Exhibits >Eadweard Muybridge
Men, Women and Animals
May 4 - June 18, 2005
Eadweard Muybridge, the eccentric Englishman who's early pioneering photographic work presaged the advent of motion pictures, will be featured in an exhibit of his serial motion studies of Men, Women and Animals.
Muybridge (1830 - 1904) came to America at the age of 21 and worked with Carlton Watkins in San Francisco, taking survey photographs for the railroads as well as some of the earliest pictures of Yosemite. He gained widespread notoriety when he was tried and then acquitted of the murder of his wife's lover.
In order to settle a $25,000. wager, he was hired by wealthy California racehorse owner (and former Governor) Leland Stanford to produce photographic evidence that, while running, a horse's four legs all left the ground at the same time. He devised a series of 12 cameras that were triggered to instantaneously record split seconds of the horse's movement. This took almost ten years to accomplish but would eventually lead him to create the body of work we know him best for today
Wanting to further continue the innovations he had realized, he spent three years at the University of Pennsylvania in Philadelphia, recording with as many as 36 separate cameras, men, women, animals, and even children performing simple tasks like walking, jumping, or just bending over.
Published in 1887 as "Animal Locomotion," the 781 unique studies of were purchased by subscription and were collected by the likes of the Metropolitan Museum in New York, the artist Augustus Saint Gaudens and even the King of Egypt and Emperor of China.
+ View full exhibit
Animal Locomotion Series: Plate # 621


Samsung officially launched the Galaxy Note9 in the Philippines, starts at PHP 55,990!
Home / mobile / news / samsung / Samsung officially launched the Galaxy Note9 in the Philippines, starts at PHP 55,990!
The Note9 is Samsung's most powerful smartphone to date and from our impressions it may be the best phone out now. If you are in PH, you now have a chance to own it!
Pre-orders started last August 11 up to August 19 with a limited run for the 8GB RAM/ 512GB ROM model that comes with an all new 2018 Samsung Smart TV! This will set you back PHP 75,990.
Those who pre-order the 6GB/128GB model will get either a Samsung Gear Fit, Gear IconX, or Galaxy Tab A7 with Nanofixit protection, and 1-year insurance for PHP 55,990.
Should you purchase a new Samsung Galaxy Watch and Galaxy Tab S4 with your new Note9, you will get an additional 10 percent off on your purchase.
The Note9 will be available from Samsung Experience Stores, Lazada, Shoppee, MemoExpress, abenson.com, ArgoMall and partner Telcos like Globe and Smart.
Samsung along with partners will offer several easy payment options with banks like Citibank, BDO, Metrobank and BPI.
Will you guys be getting one?


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Q: Customize form to make it multipaged A module I am using provides a single paged configuration form. But for my additional configuration purposes, I am attempting to make it multipaged with one additional page for collecting extra configuration data.
I am implementing hook_form_alter and I included the following code:
$form['next'] = array(
        '#type' => 'button',
        '#value' => t('next'),
        '#page callback' => array('custom_ucreate_profile2'),
        '#button_type' => 'button',
    );

I have also created the custom_ucreate_profile2 menu link. The configuration page at the end of that link works fine. But the problem is when I click on the "next" button, the current page just reloads and do not navigate to custom_ucreate_profile2.

A: Instead of rolling your own solution, which can be hard to maintain as time goes on, you could try the field_group module.  There's even a video showing how to use the multipage features.

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