Major League Baseball postponed its 25th game yesterday, and even though it seems like people complain about early season cancellations every year, 25 canceled games in just three weeks is a LOT.
Since 1986, there have been 25 weather-related postponements in the first month only one other time. That was in 2007, when there were 26 overall . . . although one of those wasn't weather-related . . . it was in response to the death of St. Louis Cardinals pitcher Josh Hancock.
But April is only half over right now. There are still 12 days left . . . so there will probably be more cancelations, since there have been 14 in just the past six days.
The craziest postponement was a few days ago in Toronto. They have a dome, but they had to cancel when falling ice PIERCED A HOLE IN THE ROOF.
The weather has been historically bad, even for games that were NOT canceled. According to ESPN, there have been 22 games in the first three weeks that have started with a temperature below 40 degrees.
That's already the most for an entire season since 2001.
Meanwhile, the Indians and the Twins played a game last night in Puerto Rico . . . even though the ENTIRE ISLAND didn't have any power. It was even broadcast on ESPN.
They had generators. Because you need them for the important things, right?


I have sold a property at 3901 Baja Vista Dr in Oceanside.
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I have sold a property at 706 1240 India St in San Diego.
1 bedroom plus a den! It's like having a 2 bedroom but without the price tag. This 7th floor, North facing condo is just blocks from the waterfront and Little Italy. Located in the upscale Columbia district Treo is a full service, 24-story high rise community with very conservative HOA fees. The Residence features a gas cooktop, in-unit washer & dryer, gas fireplace and a generously sized balcony. Large windows allow plenty of light into the spacious & open floorplan. Come and see how you'd love this!
I have sold a property at 404 1225 Island Ave. in San Diego.
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text:
Emmanuel Acho
An Uncomfortable Conversation With a Black Man
2020 has been a crazy year, but some conversations are just beginning.
2020 has been a long, crazy year, but some conversations are just beginning.
Martin Luther King Jr. said, "Our lives begin to end the day we become silent about things that matter." And Oprah said, "Doing the best at this moment puts you in the best place for the next moment."
Racism, police violence, and White privilege are at the center of social and political conversations right now. This year alone, we've seen the murders of George Floyd and Breonna Taylor, riots in cities from Atlanta to Portland, and heated discussions about racism and privilege in the national arena. Tensions are high, and with so many loud voices, it can be hard to hear anyone clearly.
It's time to talk about racism in America in a new way — and that's where my guest today comes in. Emmanuel Acho is the host of the incredible web series "Uncomfortable Conversations with a Black Man," which opened doors for people of all races to ask the pressing questions and talk about racism in a productive way. Now, Emmanuel is turning his conversations into an incredible new book — a must-read. And today, Emmanuel is joining me here on The School of Greatness for a candid conversation — this is not an episode you want to miss.
"The easiest way to open the conversation about race is to talk about white privilege." – Emmanuel Acho
Today, Emmanuel and I are doing just that. In our interview, we talked about White privilege from a standpoint of respect and love. We talked about the origins of Emmanuel's video series and why he felt the need to reframe the conversation about racism in America. And we talked about how we can all approach these conversations in our own lives.
Friends, this conversation is incredible, but it's also extremely important. We need to learn how to have productive, respectful, and loving conversations around race, and Emmanuel's here to help us do just that.
Who Is Emmanuel Acho?
Today, Emmanuel Acho is famous for leading the conversation around race and privilege, but did you know that he used to be an NFL linebacker? He played for the Philadelphia Eagles before retiring from football and taking a job as an analyst for Fox Sports 1. It's always a joy to talk to a fellow football player!
Emmanuel Acho was born to Nigerian immigrant parents, and the whole family has been involved in African missions work since Emmanuel was little. Emmanuel's compassion and desire to do the hard work it takes to help have been ingrained in him his whole life, making him the perfect person to lead the conversation around race relations in America.
In June 2020, Acho launched a video series titled "Uncomfortable Conversations with a Black Man," which opened a virtual conversation with White America about race relations, racism, and educational and economic inequalities. The show has exploded this year — reaching over 70 million views and widespread media coverage. The series has led to his new New York Times best-selling book under the same title.
Emmanuel Acho was also on Forbes 30 Under 30 list in 2018, and he runs the non-profit organization Living Hope Christian Ministries with his family. Living Hope Christian Ministries strives to create new medical facilities, schools, orphanages, and more resources for the Nigerian people.
I've been looking forward to bringing Emmanuel on the show to talk about his success and the work he's been doing to start uncomfortable but necessary conversations about racial injustice issues in our society. Our conversation was extremely powerful for me, and I believe it will help a lot of you as well.
Your Calling Will Call You
Before I dive into some of the heavier stuff that Emmanuel and I talked about in our interview, I want to talk a little bit about his journey and how he came to be the host of "Uncomfortable Conversations with a Black Man." It's an incredible story, and I think we can all learn something from it.
In the wake of George Floyd's murder earlier this year, Emmanuel knew he needed to do something. He recognized that we're living in a country where Black and White people simply do not have an adequate understanding of each other, and he set out to do something about it. That led to the very first episode of "Uncomfortable Conversations" — a 9.5-minute monologue from Emmanuel kicking off the series.
That was on a Monday; the next day was Blackout Tuesday, the day when the music industry protested the deaths of George Floyd, Ahmaud Arbery, and Breonna Taylor on social media. Within four days, Emmanuel's video had over 25 million views on YouTube! And two days after that, he got a call from an unknown number:
"'Acho, [it's] McConaughey speaking.' What the hell?! How'd you get my numbers? No caller ID — 'McConaughey speaking. I want to have a conversation.' Like, 'Yeah, man, let's have a conversation!' … So episode two, McConaughey, episode three, Chip and Joanna Gaines, four, I've heard from Oprah, and now I've moved to LA." – Emmanuel Acho
It happened that quickly — Emmanuel found himself moving from Austin, Texas, to LA in a matter of days because this conversation took off so quickly. He very quickly realized that his calling in life was to lead these uncomfortable conversations, and things almost immediately fell into place.
I think callings tend to work like that. We don't always expect them, but when they show up, they show up hard and fast — all we need to do is be ready. I love the way Emmanuel put it:
"So many times we see no caller ID numbers [we think,] 'I don't want to take that one,' right? … Your calling will call you — pick up. I was called to this moment. I did not want to do this. … It's what I had to do." – Emmanuel Acho
What do you feel in your heart you have to do? If you don't know yet, that's okay! But keep an ear out — your calling is going to call you, and I hope you'll pick up when it does!
"Guilt doesn't cause someone to change. Love does." @EmmanuelAcho
Black Vs. Black Culture
Now onto the uncomfortable part of the interview. During our conversation, I was excited but also nervous. I know that Emmanuel and I are similar in a lot of ways — we both have experience playing football, and we both love having incredible and inspiring conversations — but I also knew that I needed to challenge and humble myself as a White man. Thankfully, Emmanuel had a ton of amazing wisdom to share, and while our discussion was definitely challenging and uncomfortable, we were never unkind.
One of the things we focused on first was the difference between Black and Black culture. There's a key distinction between them, and Emmanuel did a really good job of explaining it:
"I'm getting all the time, 'Emmanuel, you don't even talk like you're Black,' right? 'Emmanuel you don't even dress like you're Black,' or, I mean, … 'You're like an Oreo — Black on the outside, White on the inside, right?' … There's a difference … between color and culture. You can be Black and be White-cultured. … I finally realized when people would say, 'Emmanuel, you're not even Black,' what they were saying is, 'Emmanuel, you're not Black-culture[d],' right? And we need to do a better job delineating between the two. A Black person is Black — it don't matter if I'm White cultured or not." – Emmanuel Acho
Emmanuel attended a White private school from fifth grade through high school, and as a result, he became a Black person who is White-cultured. He learned to dress and talk like a White kid. However, when he got to college and then the NFL — which is primarily Black- cultured — he experienced a shift. Suddenly he felt he could be more himself because he was in the same space as a lot of other Black people.
Emmanuel talked a lot about this tension in regards to adoption: Is it right for White parents to adopt Black children or vice versa? How should parents handle raising a child of a different racial and cultural background? Emmanuel's answer? Make sure they know who they really are:
"I would say adopt who you want, bro. What we know is needed in this world is more … love. … That's what we need. So if someone is willing and has the ability and empathy to look beyond their skin color and love someone who doesn't look like them, I will never, ever, ever, ever try to put a rule, restriction, or boundary on love. … Now what I will say is: … It is imperative [that you] do not remove your kid's culture." – Emmanuel Acho
To any White parents out there raising an adopted Black child — help your kids celebrate their culture! Allow them to experience it — look for ways for them to experience the Black community where you live, and help them experience the joys of both your culture and theirs — they'll be better off for it.
The Three Questions White People Need to Ask Themselves
Now we get to the meat of our interview: In a society where Black people face negative stereotypes and even violence, how can White people respond? What conversations do we need to be having with ourselves? Emmanuel had several great suggestions:
#1: "Do I understand White privilege?"
The first question White people need to be asking themselves right now is, "Do I understand White privilege? And does my White privilege make me feel uncomfortable?"
So what is White privilege? It's easy to get confused, but White privilege actually has nothing to do with money. Privilege might have to do with your economic status, but White privilege doesn't. Here's how Emmanuel describes it:
"All privilege is immunity from certain punishment or access to certain things based upon something. … Let's talk White privilege. White privilege is not saying your life hasn't been hard. It's saying your skin color hasn't contributed to the difficulty of your life." – Emmanuel Acho
Let's face it: As a White man, my skin color really has not contributed to the difficulties I've faced in life. That doesn't mean my life hasn't been difficult or I haven't struggled, but my skin color has not been a factor in those difficulties. I don't find myself watched extra closely when I walk into a store, and people don't automatically assume that I can't afford a Rolex. I don't have to make eye contact with a White person when I walk into a room so that we can have each other's backs in case anything bad happens, but according to Emmanuel, these are things Black people experience all the time.
And here's the thing: While not all White people have privilege in the economic sense, all White people have White privilege. Just by having a lighter skin color, we have an advantage over the Black people in our communities because of the way our society is — and that's pretty messed up.
So what can we do about it? If you're uncomfortable with your White privilege, how can you come to terms with it in a way that helps Black people? Let's take a look at Emmanuel's second question:
#2: "When's the last time I spoke to a Black person?"
In our society, it's very easy for White people to flow through life without often coming into contact with Black people. Unfortunately, our spaces tend to be very segregated even though segregation was outlawed in the mid-60s, and as a result, we just don't talk to one another enough.
"It wasn't enough to outlaw segregation. We should have mandated integration. … We gravitate toward things we are familiar with. My coach would always tell me, … 'Don't be like water. Water takes the easiest route. If I were to pour water on the ground, … it would just navigate the path of least resistance, and that is what we do.'" – Emmanuel Acho
Think about the places you go every week — they're probably filled with people who look like you. Have you ever heard the expression, "birds of a feather flock together?" It happens all the time. And as a result, White people and Black people don't come together to communicate, be friends, and celebrate their common humanity nearly often enough. So what's the solution? Start intentionally seeking conversations.
"Until you have these conversations, until you get out of your box, you don't realize — wait a second, we actually are more alike than we are different. Not to say that we don't have differences, but we actually have a lot in common. So while the birds of a feather may flock together, imagine what they can do [if] they really started to speak and talk and understand other people." – Emmanuel Acho
Start seeking ways to interact with Black people in your community. Emmanuel recommended attending a Black church — that's an easy way to find yourself in a space with a lot of Black people where you can actually have a conversation. Start looking for your common humanity — you may be surprised to find that you have more in common with your Black neighbors than you thought.
#3: "How am I using my White privilege to benefit those around me?"
That's the final question Emmanuel recommended that White people ask themselves. We have this White privilege, and it's unjust that our society gives us an advantage because of something we can't control. But the good news is that we can use our privilege to help our Black friends and neighbors.
"America is not a meritocracy. … It's not based on how hard you work [to] achieve your success. It's based on nepotism — people hire their family — and cronyism — people hire their friends. … How are you using that privilege to change the matrix?" – Emmanuel Acho
All of us who are White can use our White privilege to benefit those around us. It could be as simple as sticking up for your Black friends and neighbors when other White people make racist comments intentionally or unintentionally. Call out racism when you see it! In that way, you use your authority and privilege as a White person to support the Black people around you.
Why You Should Listen to This Emmanuel Acho Podcast Episode Right Now…
This conversation was uncomfortable and so, so powerful. I learned a lot from my brother Emmanuel. I want to acknowledge him for constantly showing up, following his calling, and having these uncomfortable conversations. He has already changed millions of lives, and I have no doubt he'll change millions more. He's opened up conversations between Black and White people that might never have happened, and he's helping White people to become educated and start understanding and using their White privilege to benefit minorities around them. Emmanuel is doing incredible work in the world, and I can't wait to see what he does next.
Before I sign off on this one, I want to share Emmanuel's definition of greatness:
"My definition of greatness would be: How great can you get those around you to become? When you think about the great Michael Jordan — those around him, too, became great. Tom Brady, football player — those around him, too, became great. [With] 'Uncomfortable Conversations with a Black Man" — I'm hoping that those around me, too, become great in the sense of humanity." – Emmanuel Acho
Emmanuel definitely lives up to that definition. He's helping all of us to become a little greater every day.
Thank you so much for joining me today, friends! If you loved this episode, please screenshot it and post it to Instagram. And make sure to tag Emmanuel, @emmanuelacho, and me, @lewishowes, so that we can hear about your greatest takeaways!
Also, don't forget to pick up a copy of Emmanuel's new book, Uncomfortable Conversations with Black Man. We're coming up on the holidays, and this is a perfect gift to get a friend, family member, or even yourself!
Until next time — keep opening up those lines of communication. The more we come to understand our brothers and sisters who may have a different skin color, the greater we become.
"It's not enough to be not-racist. You must also be anti-racist." @EmmanuelAcho
What's the most uncomfortable conversation you've had with a white person?
Why did you start talking about race publicly?
Should white parents only adopt white children?
What should white people be doing with their white privilege?
How can white people talk about race without feeling guilty?
How can we start a conversation about race with people who are consciously or unconsciously racist?
Why Emmanuel hates the term "reverse racism."
The difference between color and culture.
How Uncomfortable Conversations with a Black Man came to be.
The difference between your career and you're calling.
The difference between privilege and white privilege.
Why we should've mandated integration after ending segregation.
The three questions white people should be asking themselves.
Emmanuel's new book: Uncomfortable Conversations with a Black Manhttps://static.millan.com/static/fib/emmanuel-acho/ acm
Use Guideline to start your 401(k) plan and receive a $100 gift card at guideline.com/greatness — tell them School of Greatness sent you!

redpajama_set_name: RedPajamaCommonCrawl


At Sibos 2017, the hottest topic was Open Banking. It's a rich theme with many related concepts, like the banking ecosystem, APIs, PSD2, and one more that's absolutely critical for banks to get right: Partnering. It's an area of great opportunity for banks because they're simply not very good at it. Banks have historically preferred to go it alone wherever possible, and for a long time they were able to get away with it. I'd submit, though, that one of the key attributes of the banks who not just survive, but thrive in, the ongoing financial services tumult will be the ability to tap into other firms to gain access to skills and capabilities that they simply can't access internally in any kind of cost effective way. Partners will let banks deliver products and services to their retail and corporate customers better, faster, and cheaper, if they can develop and master the skills needed to work effectively with these new collaborators. To be fair, partnering is not a muscle that banks have typically had to exercise, but that's no excuse; the time to get off the couch is now.


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Bradshaw hopes extra £25 million will stabilise healthcare workforce
Alliance Health spokesperson Paula Bradshaw MLA has expressed hope the extra allocation of £25 million towards pay for health and social care workers can help stabilise the workforce.
However, the South Belfast MLA warned pay and conditions must be further improved. Staff will receive between 0.5 per cent and 1.5 per cent, backdated until last April, with the higher award going to lower paid workers.
"We stood and applauded the work of health and social care workers during the pandemic, and it is only right we take steps now to show they are valued – not just through improved pay, but also through improved conditions," said Ms Bradshaw.
"I welcome this extra allocation, which I hope will enable backdated rises for directly employed health and social care staff of at least 0.5 per cent to cover the current financial year.
"However, we must continue to reflect low pay for front-line health and social care staff is an entirely false economy as well as a moral outrage, as it only leads to people switching to agency employment or leaving healthcare in Northern Ireland altogether. In particular, nurses' pay particularly at entry level for directly employed staff remains unacceptably low, an issue which is of increasing concern given increasing inflation.
"I would continue to urge the swift implementation of safe staffing legislation and of improved pay and conditions for directly employed health and social care staff."


text:
package com.proofpoint.http.client;

import static java.util.Locale.ENGLISH;
import static java.util.Objects.requireNonNull;

public final class HeaderName
{
    private final String original;
    private final String lowerCase;

    public static HeaderName of(String value)
    {
        return new HeaderName(value);
    }

    private HeaderName(String value)
    {
        requireNonNull(value, "value is null");
        this.original = value;
        this.lowerCase = value.toLowerCase(ENGLISH);
    }

    @Override
    public boolean equals(Object obj)
    {
        if (this == obj) {
            return true;
        }
        if ((obj == null) || (getClass() != obj.getClass())) {
            return false;
        }
        HeaderName other = (HeaderName) obj;
        return lowerCase.equals(other.lowerCase);
    }

    @Override
    public int hashCode()
    {
        return lowerCase.hashCode();
    }

    @Override
    public String toString()
    {
        return original;
    }
}

redpajama_set_name: RedPajamaGithub


CAPA has published the latest version of the "In Front of the Paver" It has information about the "Best in Colorado" awards program nomination deadline, CAPA/APWA sponsored NCAT Technology course Scholarship application deadline, a request for pictures for the CAPA "Roads of Colorado" calendar. There is also information about 2 NEW CAPA members, contact changes for members, information about the 44th annual RMACES, training opportunities and more. Click here to see the entire newsletter and be sure to use the "Sign up" link embedded in the newsletter to get each and every issue when they are published.


text:
Q: how to get automatic parseJSON data in ajax request success callback? Well in 'success' callback function recieves data in native json string format and we have to convert it into javascript object using $.pareseJSON(data) inside the success callback. Is it  possible to receive already paresed

A: The jQuery.ajax()[docs] method  will parse it automatically if you set dataType:'json'.

redpajama_set_name: RedPajamaStackExchange


Doors: composed of a movable part, the wing, and a frame; their function is to close up a bay.
Sliding door whose wing is composed of two articulated panels that fold together when opened.
Sliding door whose wing is composed of articulated panels that fold together when opened.
Door made up of a wing that opens and closes by pivoting on hinges.
Panel or panels of a door sliding horizontally along a set of tracks.


Immediate Showing Appts! Studio Unit Completely Updated with Kitchenette at The Casablanca On The Ocean, Beachfront! Walk Right onto the Beach across the Boardwalk and enjoy a Walk on sandy Miami Beach, Swim at the Beach, or just relax at the Swimming Pool...Enjoy the Lobby Bar Lounge/ Restaurant, or walk the strip on Collins to Sidewalk Cafe's / Restaurants...Convenience Store in Lobby. Unit is Not in Hotel Rental, but Hotel Program Available, just Ask for details! *All Offers on FARBAR AS-IS v5, Use Condo &LeadPaint Riders, Provide Buyer Discl Stmt, Buyer's POF & signed SPDS* NOTE 121818: Condo docs may reveal rental restrictions that were not enforced by Condo Assoc & Property Mgmt, it is recommended that until this matter is clarified in writing that all Buyer Agents contact PMgr.
This listing is courtesy of Erealty Associates Inc. Property Listing Data contained within this site is the property of My Florida Regional MLS and is provided for consumers looking to purchase real estate. Any other use is prohibited. We are not responsible for errors and omissions on this web site. All information contained herein should be deemed reliable but not guaranteed, all representations are approximate, and individual verification is recommended.


text:
La Réunion foi uma comunidade experimental (conhecida como falanstério na terminologia fourierista e como socialista utópica nos termos marxistas) formada em 1855 por colonos franceses, belgas, e suíços aproximadamente a três milhas a oeste da Torre Reunion na periferia de Dallas, estado estadunidense do Texas.

Seus fundadores foram inspirados pela proposta do filósofo francês Francois Marie Charles Fourier. Seguidores de Fourier estabeleceram ao todo 29 colônias similares em várias partes dos Estados Unidos durante o século XIX. A colónia próxima da atual Dallas foi incorporada à cidade emergente de Dallas em torno de 1860.

Ver também
 Falanstério do Saí
 Falange Norte-americana (falanstério)

Falanstérios
Socialismo

redpajama_set_name: RedPajamaWikipedia


The way to create an essay in MLA format?
Let us say you have to purchase essay for faculty. At our essay assistance, essays are always delivered in a brief moment. So in case you have an essay delegated that you require help with, you can purchase informative article online cheap from us. The sort of essay you're searching for will be provided to you within the deadline offered to you. Writing a dissertation efficiently demonstrates it is possible to communicate and disseminate. Before you write your dissertation you'll be expected to compose a dissertation proposal. For instance, a lot of law dissertations do not need methodological considerations.
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Goa: Find your 'susegad' in this earthy, restored villa in Anjuna
Casa Caisua, carefully revived by architect Raya Shankhwalker, echoes the stories of the past, and blurs the boundaries between the outdoors and indoors
By Pallavi Pundir
Photography by Harshan Thomson
This home is built entirely in unplastered laterite masonry
In Goa, finding the proverbial state of susegad (derived from the Portuguese term sossegado, meaning "quiet") isn't difficult, despite the state's reputation as a party central. Take for instance, Casa Caisua—an entity that is more than just a perfect retreat. The structure, standing tall amidst lush greenery and under the bright sun, is entrenched with multiple tales that have been revived to resonate in today's time. Located in Anjuna—a north Goan village that was once a hippies' retreat and centre for trance music in the sixties—Casa Caisua is not your typical Goan villa set within a 12,000-square-feet orchard. It's an architectural time capsule that flits back and forth, telling stories about its space and design.
The structure was originally built by architect Raya Shankhwalker's maternal grandfather but was "never lived in". The villa, just a few minutes' drive or walk from the pristine Vagator beach, over time became a run-down property. But Shankhwalker—known for shaping his design process in sync with the social, cultural and environmental milieu—decided to bring it back to life. And in doing so, the villa has come to speak a language of understated elegance with its roots firmly held by the context of the location. "The existing house was carefully restored in places it was damaged and the intervention design was done in a manner that did not infringe on the original character of the building. All materials used are sympathetic to its heritage," says the architect. The house comprises a single, large, loft-style bedroom suite, with a main bedroom, a loft and a large bathroom that leads to an open-to-sky shower.
The villa was restored in a sensitive manner, keeping the charm of the original structure intact
This elaborate structure, says the architect, is built entirely in unplastered laterite masonry. "It was too small to be subdivided into multiple rooms, so I decided to use the whole space as a loft-style, single-bedroom suite with a large bathroom and an open-sky-shower, along with a sitting room," says Shankhwalker. "The front verandah and the rear pavilion were intended to be day living spaces." So to resonate with the timelessness of the design concept, the architect chose to retain the walls of the house, "except plastering of some inner walls to get a balance between stone wall surfaces and painted surfaces." But the essence of the villa stays in the elaborate use of wood (for the loft and stairs), along with stained cement for the floors and bathroom walls. "The material palette is very simple," says the architect. "It's just laterite, cement floors, timber and paint."
Comprising a king-size, four-poster bed, sofa, television and a mini bar, the main and the only bedroom at Casa Caisua is a classic urban habitat. In keeping with the exterior of the villa—which has bright, bold colours on doors and pillars—the bedroom is dotted with vibrant accessories in the form of cushions, wall art as well as drapes. Calm colours of blue are interspersed with blazing orange and reds, thereby adding drama in this minimalist setup.
Photo courtesy: Harshan Thomson/ Raya Shankhwalker
The mezzanine space at Casa Caisua serves as a retreat within a retreat, perfect for reading, lounging or even sleeping. Against the plastered walls, this nook, while remaining conspicuous in its subtlety, gives a stunning view of the entire interior as well as outdoors—a remarkable display of how spaces can find hidden connections and dissolve boundaries, one staircase at a time.
The loft is the perfect space to spend some quiet time
Staying true to the organic forms of the structure, the bathroom merges the indoors with the outdoors. This part of the semi-open plan by Shankhwalker sees the bathing area extend to an open-air shower that has walls in cold-grey concrete, and cobbled flooring. Right above, the palm leaves extend across the clear blue skies, giving a visual depth to the whole architectural function of a simple bathroom.
The Verandah
Perhaps what rounds off Casa Caisua is the way the boundaries between the indoors and outdoors blur with each step. Its design landscape revels in a visual experience that is grand and tactile at the same time. The original verandah of the house, in fact, can be accessed from the bedroom as well as the bathroom. The rear pavilion then doubles up as the main living space, opening up to all three sides of the lush gardens it is surrounded with.
What fuels a space is the thought behind it. And that's what happened with Casa Caisua too. "Our design philosophy, when it comes to old buildings, is to maintain the primary character of the structure and the rest of the design intervention must have a contemporary design style but be in sync with the local cultural context," says Shankhwalker. "The colours we have used on the verandah columns draw reference to the colours used in the traditional tulsi vrindavan of Goan houses."
Even as globally, design and architecture struggle against the clamour of superficial ideas, Casa Caisua stands out with its authenticity, one where multiple worlds reside and find their peace. And right there lies your own little susegad, in this revived piece of Goa.
A limitless home in Mumbai that opens up views to the Maximum City
TopicsArchitectartbathroomBeachBedroomdesignGOAhomeSocialSPACESUrbanVagator Beach


Netgear has announced the release of its new family of router products - the DG834 and DG834G. The G model is an 802.11g standard device with ADSL modem, router and firewall built in, the plain DG834 is exactly the same but minus the wireless components and therefore cheaper. The pricing should be around the same as for the corresponding Netgear DG814 and DG824M models.
The DG834G is not quite available in the UK, the first units will be shipped to Europe but unfortunately the UK market will not see its allocation until around mid-November. The DG834 should start appearing with the online retailers any time now, as they have started to arrive off the planes from the factory.
The previous DG models had a chequered life, with lots of firmware upgrades, for some people they performed rock solid and for others there were lots of problems, which newer firmware generally fixed. The DG834 and DG834G are based around a different ADSL chip-set. Netgear are now using a Texas Instruments (TI) set, which will hopefully address these issues. One big advantage of the TI chip is that it has support for ADSL2 and ADSL2+, which means the routers will be future proofed should ADSL2 or ADSL2+ see the light of day on the UK market.
ADSL2 and ADSL2+ offers extensions in reach of around 600 feet for the same speed as the current ADSL standard, and offer the potential for much higher speeds for those closer to the exchanges.


text:
PoultryWorld
Innovative Farming
Background Aug 6, 2009
PREVIEW - 2009: 21st Latin American Congress on Poultry Farming, Havana, Cuba
Securing future food supply
"Food safety: an assurance for the future" will be this year's theme at the 21st Latin American Congress on Poultry Farming (ALA), which will be held in Havana, Cuba from 6-9 October. This congress on poultry farming is said to be one of the most important biennial event for the Latin American poultry industry.
By María de los Angeles Gutiérrez, Chile
The ALA organizing committee is proud to have the biennial congress and show in Cuban capital Havana. Cuban poultry producers, who believe are deeply committed to producing food for the people, now face a bigger commitment, to host and event that will help bring together the Latin American poultry community.
Today, the Latin American Poultry industry has a strong impact on fulfilling the demand for food. For this reason, the importance of these kinds of meetings is bigger than ever before, not only as a place to exchange knowledge, or to promote scientific and technological development generated by the sector itself, but also as a place to achieve consensus for policies and strategies to be player on the international market.
The scientific programme has been organised in such a way that will ensure that the attendees can receive updated information about the most important issues concerning the poultry sector at both a regional and global level. The congress will be honoured by the participation of over 50 professionals, researchers and entrepreneurs, whose presentations will aim to provide updated knowledge and experiences about subjects like health, nutrition, management, genetics, reproduction and incubation, processing, environment, food industry matters, etc.
One of the features is the international pre-congress workshop titled "Challenges for veterinary medicine and zootechnical studies in view of the vertiginous growth of poultry production – their commitment to food safety", which is expected to be attended by under and postgraduates students of Veterinary Medicine and Zootecnichs, as well as professors at centres of higher studies.
Avimundo Fair
Avimundo, the international poultry fair, will be held alongside the ALA congress in the PABEXPO fairgrounds. The PABEXPO exhibition centre is located in Reparto Siboney, which is very close to the Convention Palace. The fair site spans a total area of approx. 20,000 square meters and has five air-conditioned interconnected spacious halls as well as conference rooms.
The congress organizing committee and especially the Avimundo Fair, are committed to providing both exhibitors and visitors with the opportunity to benefit from establishing useful contacts. The organisers' mission is to create an atmosphere of exchange and cordiality, where even the smallest details will be cared for so as to provide a better service.
The organisers of ALA 2009 also emphasise that Havana, the capital of the largest island of the Antilles, is satisfied with the country's hospitality, so that all participants take with them everlasting memories of their beautiful island. They hope that visitors feel at home and will gain useful knowledge and experience from 21st Latin American Congress on Poultry Farming.
Congress participation
Those interested in attending the event can register via e-mail through a travel agency that works in close collaboration with the organizing committee. This can be done at the Congress website ( wwww.avicultura2009.com ), or by sending a registration form by fax at +537 204-5956, or via e-mail to info@avicultura2009.com
Source: World Poultry magazine - Volume 25. No. 8
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The venue: Katol town in Ramtek constituency, 50 km from Nagpur. The date: February 7. The occasion: the Shiv Sena's launch of its election campaign in this crucial Vidarbha constituency.
Sena chief Bal Thackeray was at his lampooning best at the meeting, regaling the 20,000-strong crowd with witticisms and barbs. But his best was reserved for the Congress party's star campaigner, Sonia Gandhi.
Imitating Sonia's anglicised Hindi in which she spoke of her husband's sacrifices for the country, Thackeray said she had her Hindi written in Roman script. "At least Indira Gandhi knew her Hindi," he said. "Reject this foreigner, I will ensure that she never becomes prime minister."
Castigating the Gandhi family for carting away Rs 600 million in the Bofors scam, he demanded to know where Sonia and Rajiv were during the 1971 war when all pilots were asked to be in a state of readiness. They were in fact holidaying in Sicily at that time, he told the rapt crowd.
Hitting below the best as only he can, Thackeray called Congress president Sitaram Kesri impotent, and mimicked his gait and speech thus: "If Sonia asks me to, I am willing to disrobe." The Congress president has lost his pride and manliness, Thackeray declared.
Through mime, gesture and sarcasm, Thackeray lampooned several other leaders like Sharad Pawar, Sudhakarrao Naik, Madhavrao Scindia (who he referred in Marathi style 'Shinde'), Deve Gowda, Narasimha Rao et al. His sharp digs kept the audience greatly entertained, the best being reserved for the Gandhis.
Madhavrao 'Shinde', he said, had gone flat out with a sasthtang namaskar while apologising for Babri Masjid demolition, that maybe he has also started reading namaaz by now, Thackeray commented to titters.
Finally turning to the issue of development of the Vidarbha region, Thackeray said Congress leaders from Vidarbha over the last 40 years had let the region down.
Dramatically unrolling a scroll detailing the names of 150 leaders from Vidarbha who had held ministerial positions in the state and at the Centre, Thackeray said these people had merely contented themselves with being courtiers of the ruling Congress party and Indira Gandhi, and had done nothing for the region. There were three Congress chief ministers from the region, but what had they done for the region, he asked. It was the Sena-BJP government that has done more for Vidarbha, he claimed, pointing to the developmental activity taking place all over the region.
Katol, with a population of 27,000 is as yet quiet, with nary a sign of the impending election (scheduled for February 22). No processions, blaring loudspeakers or posters at public places, and Thackeray's was the first public meeting to take place here.
Ramtek sees almost a straight battle between the Sena's Ashok Gujar and Chitralekha Bhonsale of the Congress. The latter is from the erstwhile royal family, and was till recently with the BJP, switching over to the Congress on election eve.


text:
Follow the story
Armenian man charged with killing four
Aug. 4, 2010, 5:30 p.m.
Times coverage: Not guilty plea from suspect in Hakobyan slaying
Arrests in slayings that shocked Armenian community
Arrest: Elderly man in custody in connection with Armenian family slayings [Updated]
April 22, 2010, 12:40 p.m.
Karine Hakobyan, 38
Times coverage: Mother killed 18 months after husband and daughter found dead
Khachik Safaryan, 43 [Updated]
Lusine Safaryan, 8 [Updated]
In 2008, The Times reported on the double homicide of Khachik Safaryan, 43, and his daughter Lusine Safaryan, 8, who were found slain in their Hollywood home on the morning of Dec. 11. Lusine's sister, who was 12 at the time, discovered the bodies. After the unsolved killings, the girl and her mother, Karine Hakobyan, moved to a nearby apartment.
On Friday, March 26, Hakobyan, 38, was discovered dead by her surviving child, now 14. She had been shot in the head.
Times reporters Andrew Blankstein and Ching-Ching Ni have more on the story:
On a fall afternoon in 2008, a 12-year-old girl arrived home from school and discovered her father and 9-year-old sister shot to death inside the family's Hollywood apartment.
Eighteen months later, the girl, now 14, came home to an empty apartment Friday night. She got worried when her mother didn't come home from work, so the girl walked down to the carport looking for her.
There, she found the body of Karine Hakobyan, 38, slumped in her Honda CRV, with a gunshot wound to the back of the head. On Monday, a team of Los Angeles police detectives were trying to piece together the three killings, which occurred a few blocks from each other in Hollywood's Little Armenia district.
Detectives believe the killings are connected but declined to provide more details. Det. Michael Whelan stressed that police have no evidence that the victims were involved in criminal activities either in the United States or in Armenia, which they left in 2003. The father, Khachik Safaryan, had worked as a butcher in Hollywood, and the mother worked as a patient care service aid at Childrens Hospital Los Angeles.
Sitting in the family living room Monday next to a shrine of roses and framed family pictures, the girl tried to make sense of what has happened to her family. She told The Times that Friday was a typical day – she and her mother exchanged cellphone calls throughout the day, and she expected her mother home by 8 p.m. What the girl saw when she got to the carport horrified her.
"I just saw blood," she said. "That's when I knew something was seriously wrong."
The girl was surrounded Monday by grandparents, extended family and friends, all wearing black and huddling on a sofa. Amid the mourners, the girl made clear she wants justice for her sister and parents.
"We just want them to find the people who did this, so they can finally get their punishment," she said.
Detectives said they are keeping a close eye on the girl, making sure she has access to counseling and protection as she deals with the trauma. Whelan described her as good student who planned to go to college.
She's showing remarkable strength amid the violence that has befallen the family, he added.
"She's very intelligent, and very well grounded despite of this horrific thing that has happened to her," Whelan said. "She's held up in some regards better than some of the family members around her."
The violence began Dec. 11, 2008. That morning, the girl's sister Lucine was set to recite her first poem she'd written in English at school.
But she never got the chance.
Police believe that the gunman entered the family's apartment between 7:30 and 8 a.m. – after the 12-year-old left for school but before her younger sister did.
There were no reports of gunshots, and the bodies were not discovered until the older girl came home from school that afternoon. The slaying shocked the neighborhood of low-rise apartments in east Hollywood, particularly because the assailants killed an 8-year-old girl. [Note: the story gives her age as 9 but coroner's records indicate she was 8.]
After the slayings, the girl and her mother moved to another apartment nearby. It was there, in the carport, where the girl found her mother shot dead in her car Friday night.
As in the first killings, there were no witnesses, and no one reported hearing gunshots.
"We have a theory and are running with that," Whelan said of the investigation. "There are a lot of unanswered questions."
March 30, 2010 Update: Conviction and sentencing in racially motivated killing of James ...
March 29, 2010 Update: Authorities say false rumor of affair fueled killing of ...
One reader comment
Is there any news to this case? Have they arrested anyone? This is so sad.
— Nectarwine April 18, 2012 at 1:33 p.m.


Unity College is committed to working with families to make our unique, sustainability-focused education affordable. In fact, we help approximately 90 percent of our students with the cost of their education by putting together financial aid packages, personalized for each family.
Direct costs are those that appear on your bill, and which you pay directly to the college.
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This is a planning tool only and not an application for financial aid. If you have special circumstances or other financial aid questions, please contact our financial aid office.


text:
Q: How to prevent some action in app using winapi? I would like to prevent some action in my app using winapi for example I would like to block moving my window app. How can I do this?
I try this:
    if( pWindowsMessage->message == WM_MOVING )
    {
        return 1;
    }
    else if(pWindowsMessage->message == WM_MOVE)
    {
        return 1;
    }

But it doesn't work.
Other example: How to prevent close the window?
    if( pWindowsMessage->message == WM_CLOSE )
    {
        return 1;
    }

It works. But is it a good solution?
Of course the first and the second example are in the function which get messages.

A: You can block messages in different areas by handling WM_NCLBUTTONDOWN messages.
And According to WM_NCHITTEST,we can handle events in different regions.
Here is a sample:
#include <Windows.h>
#include <cassert>
#include <cstdlib>
LRESULT CALLBACK WndProc(HWND, UINT, WPARAM, LPARAM);
int WINAPI WinMain(HINSTANCE hInstance, HINSTANCE hPrevInstance, PSTR szCmdLine, int iCmdShow)
{
    static TCHAR szAppName[] = TEXT("hello windows");
    HWND hwnd;
    MSG msg;
    WNDCLASS wndclass;
    wndclass.style = CS_HREDRAW | CS_VREDRAW;
    wndclass.lpfnWndProc = WndProc;
    wndclass.cbClsExtra = 0;
    wndclass.cbWndExtra = 0;
    wndclass.hInstance = hInstance;
    wndclass.hIcon = LoadIcon(NULL, IDI_APPLICATION);
    wndclass.hCursor = LoadCursor(NULL, IDC_ARROW);
    wndclass.hbrBackground = (HBRUSH)GetStockObject(WHITE_BRUSH);
    wndclass.lpszMenuName = NULL;
    wndclass.lpszClassName = szAppName;
    if (!RegisterClass(&wndclass))
    {
        MessageBox(NULL, TEXT("This program requires Windows NT!"), szAppName, MB_ICONERROR);
    }

    hwnd = CreateWindow(szAppName,
        TEXT("the hello program"),
        WS_OVERLAPPEDWINDOW,
        CW_USEDEFAULT,
        CW_USEDEFAULT,
        CW_USEDEFAULT,
        CW_USEDEFAULT,
        NULL,
        NULL,
        hInstance,
        NULL);
    ShowWindow(hwnd, iCmdShow);
    UpdateWindow(hwnd);

    while (GetMessageW(&msg, NULL, 0, 0))
    {
        TranslateMessage(&msg);
        DispatchMessageW(&msg);
    }
    return msg.wParam;
}
LRESULT CALLBACK WndProc(HWND hWnd, UINT message, WPARAM wParam, LPARAM lParam)
{
    case WM_DESTROY:
        PostQuitMessage(0);
        break;
    case WM_NCLBUTTONDOWN:
        if (wParam == HTCAPTION || (wParam >= HTLEFT && wParam < HTBORDER))
            return 0;
    default:
        return DefWindowProc(hWnd, message, wParam, lParam);
    }
    return 0;
}


Perhaps you are in the midst of a difficult decision right now. If so, here is a prayer you can say to your heavenly Father.
When we struggle with making a decision and ask, "What is God's will in this?" often we want to know what pleases God—what he desires from us. We want his direction. Here are three good things to do when you need to make a decision.


text:
\section{Introduction}
In this paper we will describe the process we took to tackle SemEval-2019 Task 6 \cite{offenseval}. \newcite{OLID} describes the dataset for this task. We have divided the challenge into two parts: data processing and sampling and choosing the optimal deep learning architecture. Given that our datasets are unstructured and informal text data from social medias, we have decided to spend more time creating our text preprocessing pipeline to ensure that we are feeding in high quality data to our model. In addition, we realised that there's a high level of imbalance between classes in each of the subtasks. Therefore, we decided to experiment with two different techniques that tackle this imbalance; SMOTE and Class Weights.
Once our data is clean and our data distribution among classes are balanced, we proceed to choosing our optimal deep learning architecture. We decided to use macro F1-score as our evaluation metrics due to the imbalance classes. Through searching for the optimal model architecture, we made two important findings. Firstly, the order of our layering in our models heavily affects our F1-score performance. We found that by feeding data into the LSTM layer first, then followed by CNN layer yields much better results than the alternative. Secondly, in this challenge, the addition of CNN layer provides very little to no additional improvement and sometimes even lead to a decrease in our F1-score. We suspect that by feeding inputs into the CNN layer, we lose the important sequential information in text data, thereby making our models less accurate. In the end, we found that the deep learning architecture that gives us the highest F1-score among subtasks is BiLSTM-CNN.

\section{Deep learning architecture}
\begin{figure*}[tp]
\centering
\includegraphics[scale=0.5]{Final_model_diagram}
\caption{Overall model architecture}
\label{Model Diagram}
\end{figure*}

In this paper, we experimented with different variations of CNN and LSTM layers. Our overall deep learning architecture is shown in Figure 1, where we initially feed our input text through an embedding layer to get our word embeddings. Depending on the variations of our CNN and LSTM layers, for example CNN-LSTM, we will feed these word embeddings to the convolution layer. The output will undergo MaxPooling layer (part of CNN), resulting in a smaller dimension output, which is then feed into the LSTM layer. We will then apply spatial dropout to the output of LSTM layer in an attempt to counter overfitting. This is followed by a dense layer before our model architecture outputs the results through the output layer.

The model was implemented using the Keras libary with Tensorflow backend.

\subsection{Pre-trained word embeddings}
Word embeddings are widely used in different NLP tasks. In this paper, we decided to experiment with different kinds of word embeddings, including different dimensionality of the same embeddings, to see if different type and dimensionality of embeddings would affect the overall end performance of our models. Specifically, we decided to experiment with the following word embeddings \cite{GloVe}:

\begin{enumerate}
	\item \textbf{\textit{GloVe: Twitter (100d)}} - Trained on 2B tweets, which is very relevant to our tasks of analysing text data from social media. It has 27B tokens and 1.2M vocabulary of unique words
	\item \textbf{\textit{GloVe: Twitter (200d)}} - Same as Glove: Twitter (100d) except it's 200 dimension. This allows us to evaluate the increase in dimensionality on the performance of our models
	\item \textbf{\textit{GloVe: Common Crawl (300d)}} - Trained on 42B tokens, 1.9M vocabulary of unique words. We chose this embeddings for its relatively large vocabulary size and embeddings dimensions
\end{enumerate}

\subsection{Optimisation and Regularisation}
Given our relatively small dataset, the network is trained using batch gradient descent with Adam optimiser. To counter overfitting, we have decided to utilise spatial dropout 1D regularisation which performs like a normal dropout regularisation except you drop the entire 1D feature maps instead of individual activation. This is because if adjacent frames within the same feature maps are highly correlated, then regular dropout will fail to regularise the activations.

\section{Training}
\subsection{Data}
To train and evaluate our models, we will be using the provided training and trial dataset. However, given the extremely small trial dataset, we have decided to combine both datasets as we aren't able to properly assess our models' predictions accurately with the trial dataset. Table 1 shows the label distribution of all the datasets. In addition, given the level of inbalance between classes in each subtasks, we have decided to focus more on the F1-scores, particularly the macro F1 score rather than just relying on the overall accuracy.

\begin{table*}[t!]
\centering
\begin{tabular}{|l|c|c|c|c|c|c|c|}
\hline
\multicolumn{1}{|c|}{} & \multicolumn{2}{c|}{Subtask A} & \multicolumn{2}{c|}{Subtask B} & \multicolumn{3}{c|}{Subtask C}\\
\cline{2-8}
\multicolumn{1}{|c|}{Dataset} & NOT & OFF & TIN & UNT & IND & GRP & OTH\\
\hline
\multicolumn{1}{|c|}{Train} & 8840 & 4400 & 3876 & 524 & 2407 & 1074 & 395\\
\multicolumn{1}{|c|}{Trial} & 243 & 77 & 38 & 39 & 30 & 4 & 5\\
\hline
Combined & 9083 & 4477 & 3914 & 563 & 2437 & 1078 & 400\\
\hline
\end{tabular}
\caption{Benchmark dataset label distribution}
\end{table*}

To train our model, we split the combined dataset randomly into 80\% train-val and 20\% test set and use the train-val set to perform k-fold cross validation (k = 5). Specifically we train each models using k-fold cross validation and use the validation set to do early stopping if the performance does not improve after 10 epochs with respect to average \textbf{macro F1-score}. Once we are happy with the performance of our final model, we do a final evaluation using the 20\% test set.

\subsection{Preprocessing}
Our data preprocessing pipeline is as follows:
\begin{itemize}
\item \textit{Remove @USER and URL token}
\item \textit{Remove hashtags, twitter handles and hyperlinks}
\item \textit{Apostrophe contraction-to-expansion} - We used a dictionary to map contracted words to their corresponding expanded words. For example, \textit{don't} will transform to \textit{do not}. This preprocessing steps reveal "hidden" negation words that are important for our models to detect offensive languages
\item \textit{Spelling corrections} - We used open-source Sympell \cite{SymSpell} which uses the Damerau-Levenshtein distance to find the closest correct spellings for any misspelled words. We chose the edit distance to be 3
\item \textit{Lemmatisation} - We used WordNetLemmatizer from NLTK to lemmatise all the words to their lemma form. For example, \textit{saw} to \textit{see}. By lemmatising the words, we only feed in words in their lemma form, therefore allowing the models to be able to capture the meaning of words regardless of their original forms.
\item \textit{All text are lowercased}
\end{itemize}

\subsection{Class Imbalance}
The provided dataset has a high level of class imbalance (shown in Table 1) and we have decided to use two different approaches to counter this: \textbf{class weights} and \textbf{SMOTE} \cite{smote_paper}. Class weights involves computing the class weights and use it to re-scale the loss function when performing back-propagation. SMOTE, on the other hand, is an oversampling technique whereby it generates new data points using the existing minority data that we supply as input. The algorithm takes samples of the feature space for each target class and its nearest neighbors and generates new examples that combine features of the target case with features of its neighbors \cite{SMOTE_def}.

\section{Experiments and results}
\subsection{Experiment environment}
In order to find the optimal architecture for this task, we have decided to experiment with CNN and different variations of RNN, which includes LSTM and GRU (each either unidirectional or Bidirectional). Each variation of model will follow the same overall structure as mentioned in Section 2.

We will be making performance comparisons between the models below:

\begin{enumerate}
	\item CNN
	\item LSTM
	\item BiLSTM
	\item GRU
	\item BiGRU
	\item CNN-LSTM
	\item CNN-BiLSTM
	\item CNN-GRU
	\item CNN-BiGRU
	\item LSTM-CNN
	\item BiLSTM-CNN
	\item GRU-CNN
	\item BiGRU-CNN
\end{enumerate}

Each model will be train using 5-fold cross validation and will be evaluated on the average accuracy and macro F1-score.

\subsection{Results analysis - Subtask A}
The results on Table 2 shows the average accuracy and macro F1-score of each architecture after 5-fold cross validation.

\begin{table*}[t!]
\centering
\begin{tabular}{|r|c|c|}
\hline Models (Subtask A) & Avg Acc & Avg Macro F1 \\ \hline
CNN & 71\% & 0.63 \\
\textbf{LSTM} & \textbf{78\%} & \textbf{0.73} \\
\textbf{BiLSTM} & \textbf{78\%} & \textbf{0.73} \\
\textbf{GRU} & \textbf{79\%} & \textbf{0.74} \\
\textbf{BiGRU} & \textbf{78\%} & \textbf{0.74} \\
CNN-LSTM & 71\% & 0.66\\
CNN-BiLSTM & 72\% & 0.65 \\
CNN-GRU & 72\% & 0.66 \\
CNN-BiGRU & 72\% & 0.67 \\
LSTM-CNN & 74\% & 0.67 \\
\textbf{BiLSTM-CNN} & \textbf{78\%} & \textbf{0.74} \\
GRU-CNN & 73\% & 0.67 \\
\textbf{BiGRU-CNN} & \textbf{77\%} & \textbf{0.72} \\
\hline
\end{tabular}
\caption{\label{font-table} Average accuracy and macro F1-score of different model architecture (k-fold = 5) - \textbf{Subtask A}}
\end{table*}

Given our inbalanced datasets, we will primarily be evaluating our models using the average macro F1-score. A standalone CNN model yields the lowest average macro F1-score of 0.63. Through adding an LSTM or GRU (either unidirectional or bidirectional) layer after the CNN layer, thereby forming a LSTM-CNN or GRU-CNN, our model scores on average 0.02 - 0.04 higher than standalone CNN model. However, this is 0.06 lower than standalone LSTM (0.73). A possible reason for this could be that although CNN layer is great at extracting local features and learn to emphasise or disregard certain n-grams in the input data, it still looses some of the important sequential information in our text input.

On the other hand, a standalone LSTM or GRU model yields the highest average macro F1-score of 0.73-0.74. Our results show that there's no significant difference between unidirectional and bidirectional LSTM or GRU. Intuitively, the benefit of a LSTM or GRU layer is that the network will be able to remember what was read previously, therefore can develop a better understanding of future inputs. We found that a normal unidirectional LSTM-CNN or GRU-CNN underperformed relatively to standalone LSTM/GRU models and only outperforms standalone CNN marginally by 0.04. BiLSTM-CNN/BiGRU-CNN achieve average macro F1-score similar to standalone LSTM/GRU. Our results show that adding a CNN layer after LSTM/GRU provides no benefits or worsen the score.

Overall, our results show that the ordering of layers significantly affect the performance of our models. Our results indicate that the optimal ordering of layers is LSTM/GRU follow by CNN, thereby forming a LSTM-CNN/GRU-CNN architecture. The initial LSTM/GRU layer will be able to capture sequential information unlike having CNN layer as the first layer. The output is then pass to the CNN layer to extract local features.

\subsection{Subtask B and C}

\begin{table*}[t!]
\centering
\begin{tabular}{|l|c|c|c|c|c|c|}
\hline
\multicolumn{1}{|c|}{Models} & \multicolumn{2}{c|}{Imbalanced Data} & \multicolumn{2}{c|}{SMOTE} & \multicolumn{2}{c|}{Class Weights}\\
\cline{2-7}
\multicolumn{1}{|c|}{(Subtask B)} & Acc & Macro F1 & Acc & Macro F1 & Acc & Macro F1\\
\hline
\multicolumn{1}{|c|}{BiLSTM-CNN} & 87.39\% & 0.51 & 81.25\% & \textbf{0.59} & 68.86\% & 0.55\\
\multicolumn{1}{|c|}{BiGRU-CNN} & 87.83\% & 0.47 & 78.68\% & \textbf{0.57} & 44.64\% & 0.40\\
\multicolumn{1}{|c|}{BiLSTM} & 87.50\% & \textbf{0.56} & 79.80\% & 0.53 & 43.86\% & 0.40\\
\multicolumn{1}{|c|}{BiGRU} & 87.95\% & 0.53 & 75.22\% & \textbf{0.55} & 55.24\% & 0.48\\
\hline
\end{tabular}
\caption{Evaluation of different techniques to tackle class imbalance. Table displays accuracy and macro F1-score of different model architecture (holdout method) - \textbf{Subtask B}}
\end{table*}

\begin{table*}[t!]
\centering
\begin{tabular}{|l|c|c|c|c|c|c|}
\hline
\multicolumn{1}{|c|}{Models} & \multicolumn{2}{c|}{Imbalanced Data} & \multicolumn{2}{c|}{SMOTE} & \multicolumn{2}{c|}{Class Weights}\\
\cline{2-7}
\multicolumn{1}{|c|}{(Subtask C)} & Acc & Macro F1 & Acc & Macro F1 & Acc & Macro F1\\
\hline
\multicolumn{1}{|c|}{BiLSTM-CNN} & 69.99\% & \textbf{0.48} & 66.16\% & 0.45 & 59.13\% & 0.44\\
\multicolumn{1}{|c|}{BiGRU-CNN} & 71.14\% & 0.42 & 68.20\% & \textbf{0.45} & 63.09\% & 0.35\\
\multicolumn{1}{|c|}{BiLSTM} & 69.48\% & \textbf{0.45} & 67.82\% & 0.45 & 61.30\% & 0.45\\
\multicolumn{1}{|c|}{BiGRU} & 71.39\% & \textbf{0.46} & 64.11\% & 0.43 & 62.58\% & 0.43\\
\hline
\end{tabular}
\caption{Evaluation of different techniques to tackle class imbalance. Table displays accuracy and macro F1-score of different model architecture (holdout method) - \textbf{Subtask C}}
\end{table*}

Given our findings on the optimal ordering of layers and the fact that BiLSTM-CNN and BiGRU-CNN significantly outperformed normal LSTM-CNN and GRU-CNN in subtask A, we have decided to only apply BiLSTM, BiGRU, BiLSTM-CNN and BiGRU-CNN to subtask B and C. The holdout results for subtask B and C are shown in Table 3 and 4 respectively. We decided not to use cross validation for subtask B and C due to computationally intensive to run. The results show that SMOTE is the best technique to tackle the class imbalance issue. With the exception of BiLSTM, we performed top macro F1-score for the other three models.
However, for subtask C, it seems that our results has got worse since applying SMOTE/Class Weights to the datasets, with the exception of BiGRU-CNN. Our results indicate that it is better off keeping the original datasets.

Taking the results from our experiments, we conclude that the optimal deep learning architecture to tackle SemEval-2019 Task 6 offensive language analysis is BiLSTM-CNN as it consistently outperforms every other model variations. We decided to not apply SMOTE or class weights to datasets in subtask A as the level of imbalance in subtask A is mild. In terms of subtask B and C, it is clear that we should apply SMOTE to balance our data among classes in order to yield the highest possible macro F1-score.

\subsection{Hyperparamter Tuning and Findings}
Once we finalise our model to be BiLSTM-CNN, we conducted manual search for some of the key hyperparameters of the model using subtask A. This include optimal number of epochs to train our model, the spatial dropout probability and the use of different types and dimensions of word embeddings. We included BiGRU-CNN as a comparison. The results is as follows:
\begin{enumerate}
	\item \textbf{Level of Epochs} - As shown in Table 5, the optimal number of epochs to train our model is 5. Our model managed to reach high F1-score of 0.74/0.75 (relative to our experiments) after 5 epochs. The F1-score starts to plateau/drop as we increase the number of epochs beyond 5, showing signs of overfitting

    \begin{table}[tp]
    \centering
    \begin{tabular}{|c|c|c|}
    \hline Epochs & BiLSTM-CNN & BiGRU-CNN \\ \hline
    5 & \textbf{0.74} & \textbf{0.75}\\
    10 & 0.70 & 0.70\\
    20 & 0.71 & 0.73\\
    \hline
    \end{tabular}
    \caption{\label{font-table} Macro F1-score for BiLSTM-CNN trained with different epochs - \textbf{Subtask A}}
    \end{table}

	\item \textbf{Spatial dropout rate} - We have spatial dropout layer immediately after the output of our BiLSTM-CNN model as well as after the dense layer (Figure 1). As shown in Table 6, the optimal spatial dropout rate is 20\%. However, when taken out the spatial dropout layer, our macro F1-score was not affected. This might be due to our small network architecture and low overfitting, therefore dropout layer doesn't contribute much to our final performance

    \begin{table}[tp]
    \centering
    \begin{tabular}{|c|c|c|}
    \hline Dropout & BiLSTM-CNN & BiGRU-CNN \\ \hline
    20\% & \textbf{0.75} & 0.73\\
    35\% & 0.74 & 0.70\\
    50\% & 0.72 & 0.72 \\
    No Dropout & 0.74 & \textbf{0.74}\\
    \hline
    \end{tabular}
    \caption{\label{font-table} Macro F1-score for BiLSTM-CNN trained with different spatial dropout rates - \textbf{Subtask A}}
    \end{table}

	\item \textbf{Pre-trained vs No pre-trained embeddings} - Our results in Table 7 aligns with the industry trend that by using pre-trained word embeddings, we yield a higher macro F1-score when compared trained without pre-trained word embeddings. In addition, we see an increase in the performance of our BiLSTM-CNN as we increased the dimensions of our word embeddings. However, due to the contrasting results from BiGRU-CNN, we aren't unable to draw a conclusion and further experiments is needed

    \begin{table}[tp]
    \centering
    \begin{tabular}{|p{1.8cm}|p{2.34cm}|p{2.12cm}|}
    \hline Embeddings & BiLSTM-CNN & BiGRU-CNN \\ \hline
    \multicolumn{1}{|c|}{T - 100d} & \multicolumn{1}{|c|}{0.72} & \multicolumn{1}{|c|}{\textbf{0.74}}\\
    \multicolumn{1}{|c|}{T - 200d} & \multicolumn{1}{|c|}{\textbf{0.75}} & \multicolumn{1}{|c|}{0.73}\\
    \multicolumn{1}{|c|}{CC - 300d} & \multicolumn{1}{|c|}{\textbf{0.75}} & \multicolumn{1}{|c|}{0.71}\\
    \multicolumn{1}{|c|}{No Embs} & \multicolumn{1}{|c|}{0.69} & \multicolumn{1}{|c|}{0.67}\\
    \hline
    \end{tabular}
    \caption{\label{font-table} T - GloVe Twitter, CC - GloVe Common Crawl. Macro F1-score for BiLSTM-CNN trained with/without pre-trained embeddings - \textbf{Subtask A}}
    \end{table}

\end{enumerate}

\section{Conclusion}

From all our experiments, we concluded that our optimal model architecture is BiLSTM-CNN, trained with 5 epochs, no dropout layers (unless we decided to build a bigger model architecture) and use of pre-trained word embeddings, 42B GloVe-Common Crawl (300d). In this paper, we experimented with 13 model variations with the aim to find the optimal model architecture for offensive language analysis. Our findings show that the ordering of layers in our model are extremely important. By having CNN layer first followed by different types of RNN layers, our models perform 0.07 - 0.09 worse in terms of F1-score when compared to having RNN layers first followed by a CNN layer. We used BiLSTM-CNN to predict the labels for the hidden test set and our final macro F1-scores and rankings are shown in Table 8. \textbf{Our code is available at:} https://github.com/RyanOngAI/semeval-2019-task6

\begin{table}
\centering
\begin{tabular}{|c|c|c|}
\hline Subtasks & Macro F1 & Ranking \\ \hline
A & \textbf{0.75} & 56\\
B & \textbf{0.65} & 38\\
C & \textbf{0.46} & 77\\
\hline
\end{tabular}
\caption{\label{font-table} Macro F1-score \& Ranking - Hidden test set}
\end{table}

\subsection{Future Work}
\begin{enumerate}
	\item \textbf{Systematic search} - Manual hyperparameter search limits the number of experiments I can carry out, for example, I wasn't able to manually test out different dropout and recurrent dropout rate within the RNN layers. This has been set to 35\% randomly. Therefore it would be beneficial to implement different systematic search such as grid search or bayesian optimisation to optimise the hyperparameters for our models
	\item \textbf{Contextualised word embeddings} - On top of tradition word embeddings, it would also be interesting to see how contextualised embeddings would affect the results of our models given the rise of BERT and ELMO
	\item \textbf{Character-level} - Given the informal nature of our text data, it would be interesting to see the results of character level model variations of our experiments above seeing as the full power of pre-trained word embeddings is limited by the misspelled/slang words
\end{enumerate}

redpajama_set_name: RedPajamaArXiv


text:
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EPCOR's #waveforthefrontline offers a spirited way to say thank you to essential service workers
Published In: Community Investment
EPCOR is helping ignite the spirit of Edmontonians by initiating the biggest wave ever on social media. The citywide virtual-wave—inspired by groups of fans that jump to their feet, raising their arms at sports games—will symbolize the community's collective thank you to the essential workers at the front lines of the COVID-19 global pandemic.
Sparked by tributes of support for service workers around the world, EPCOR is inviting anyone who wants to thank essential workers to record a short video clip of themselves doing their best high-energy, full-body wave.
"Customers count on us. Not just to be their utility provider but also to be a leader and a pillar within the community. These are difficult times and it is important to know and show that we can get through this together. And sometimes, that means finding ways to have fun, stay connected and in this case, show gratitude to those that are working to help others," said Stuart Lee, President & CEO, EPCOR.
Submissions can be done on your own, with other members of your household and even pets. No fancy equipment is required, just a cell phone or computer. EPCOR will compile all wave snippets into one big Edmonton-face filled video and release it as a thank you to unsung heroes on April 22. This positive movement is intended to recognize all essential service workers who are keeping the community safe and operational: healthcare workers; grocery store clerks; restaurant staff; bus drivers; city staff; utility workers; truck and delivery drivers; and more.
"I am staying inside and practicing physical distancing. It's important to make sure we keep safe and take all steps needed to stop COVID-19. It's also important to show support to the workers and volunteers out there facing it head on. I can say for a fact, knowing there are thousands of people behind you, cheering you on, creates a feeling that lifts you up and inspires greatness. Let's do this wave for them." said David Beard, Edmonton Eskimos Offensive Lineman.
Submit your wave of support between April 17 and midnight, April 18 by uploading it to waveforthefrontline.ca. The wave video will have an original track by songwriter, and R&B soul singer Tanika Charles, who was formerly based in Edmonton. The song, called Remember to Remember, is an uplifting anthem.
Participants can encourage others to submit by sharing through their social media channels using #waveforthefrontline. Once EPCOR shares the wave on April 22—they hope you will help spread it through your online community too.
In addition to initiating the biggest social media wave ever, EPCOR announced they will provide $300,000 toward COVID-19 fundraising campaigns. Both the United Way and the Edmonton Community Foundation received $150,000 each on April 15. These contributions will be eligible to be matched by the provincial government as part of its matching program announced April 12, 2020.
Phone: (780) 721-9001
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text:
Maura Quint's Presidential Debate Recaps
The One With All the Lady Journalists
by Maura Quint
2020 DEMOCRATIC
PRIMARY DEBATE
9:01 PM: The 5th Democratic Primary Debate opens with journalists Rachel Maddow, Andrea Mitchell, Ashley Parker, and Kristin Welker as an all-female reboot of this popular series. From offstage, Chris Matthews is heard complaining that this feminist pandering is ruining his childhood memories of politics.
9:03 PM: In another unconventional twist, no opening statements are made. Instead, moderators begin by asking the audience why they'd choose to go from spending an entire day watching impeachment hearings to watching yet another debate, when instead they could be reading a book, watching reruns of The Office, or filling their bathtubs with jello and the chilling the hell out. Rachel Maddow silently mouths into the camera, "If I wasn't chained to this desk right now, I'd be GONE." Senator Bernie Sanders nods and raises his hand while former Vice President Joe Biden squints.
9:04 PM: Senator Elizabeth Warren is asked if, given her support for impeaching and evicting President Trump from office, she would try to convince her Republican colleagues to do so as well. Warren replies warmly by saying, "Of course I would. Do you think I go around telling Republicans impeachment isn't bad or something? What the fuck kind of question is that?"
9:05 PM: The moderators note that Senator Amy Klobuchar has said she'd wait to make a judgment on impeachment. Klobuchar responds, "Trump has undoubtedly committed many crimes and that nothing less than our very democracy is at stake. So it's a real toss-up."
9:13 PM: Turning to inequality, Warren remarks that her plan for a wealth tax is not about punishing the rich, but about reminding them they didn't create their success alone. Senator Cory Booker responds that he doesn't agree with the wealth tax because it's too cumbersome. Warren, confused, says, "Wait, I thought you were the nice one?" Booker pulls out an orange, crushes it wholly in his fist, lets the juice drip down his arm, pauses for a beat, and then responds directly into the camera: "NOT ANYMORE."
9:19 PM: Andrea Mitchell, talking about working with Republicans, remarks that the GOP never stopped fighting Obama, so what would be different this time around with a Democrat in the Oval Office? South Bend Mayor Pete Buttigieg answers, "Look, this is the Heraclitus river analogy, which I originally learned in Norwegian and—" but he is cut off by Chasten Buttigieg running on stage to take a quick picture of Pete with his phone, exclaiming, "THIS GUY!"
9:21 PM: Warren begins to discuss her three-year plan for Medicare for All. Moderator Kristen Welker interrupts her: "Bernie Sanders, let's bring you into this conversation." From the wings, Sanders walks on stage to tremendous studio applause that turns into rousing laughter as he delivers his classic catchphrase, "I wrote the damn bill!" The camera pans through the crowd showing cheering members of the audience wearing I WROTE THE DAMN BILL T-shirts and waving stuffed beavers with BILL nametags.
9:27 PM: Senator Tulsi Gabbard, Rich Person Tom Steyer, and Andrew Yang suddenly materialize onstage. It is unclear whether they had previously been invisible and suddenly showed themselves, or if they oozed in as some sort of Terminatoresque liquid metal and then assumed human form. Senator Kamala Harris locks eyes with Gabbard, curls her lips into a tight smile and says, "Oh? You're back for more?"
9:30 PM: Ashley Parker asks Yang how, as an outsider, he would be able to lead the nation? Yang begins by signing a few autographs as panties are thrown on stage. He then says, "I'd like to stand up for Tom Steyer, he's spending his own money, and think how many more elections he could be purchasing if he were also receiving an additional $1000/month?" Steyer thanks him by handing him a check.
9:34 PM: Turning to qualifications, Andrea Mitchell asks Klobuchar about a comment she had made saying that if a woman had the limited political experience Pete Buttigieg had she wouldn't be standing on this stage. Klobuchar pats Pete on the head and says, "He's a real sweetie, but if women weren't held to a higher standard we'd be playing a game called name your favorite woman president," to which Biden smashes an invisible buzzer and yells "ADLAI STEVENSON!"
9:39 PM: As the debate veers into a more substantive discussion, NBC News Chief Foreign Affairs Correspondent Andrea Mitchell asks the candidates if they will tweet when they are president. Andrew Yang holds up a phone to show Mitchell the TikTok he just posted of her asking that question set to Wu-Tang Clan's "CREAM." Sanders quietly hums along.
10:20 PM: Maddow raises the topic of the #MeToo movement and asks how a Biden Presidency would address issues like harassment and violence towards women? Biden responds, "We have to change the culture of violence and just keep punching at it and punching at it and punching at it. Stand close to that culture, smell its hair. This is just too important. When it comes to changing this culture, we won't take no for an answer."
10:34 PM: The moderators turn the conversation to racial inequities, making sure that each white person is given appropriate space to answer about their feelings about what it is to be black. Buttigieg stares at his superbly polished shoes and whispers, "Please can we move on?" Booker pulls out a pomegranate and again squeezes it whole, crushing it as the juice runs down his arm and into an aquamarine Hydro Flask water bottle. He then pulls out a lime, crushes that and adds some chopped organic spinach, and an eyedropper of B-12, shakes it and downs the whole bottle in a single gulp. He wipes the last of the reddish liquid from his lips, and says calmly, coldly: "Nobody on this stage should need a focus group to hear black voters." He asks the other candidates if they'd like juice, apologizing that he should have offered earlier, and hearing only silence, he continues. "You know, this week, I heard Biden say you don't think we should legalize marijuana. I thought you might have been high when you said it." The room holds their breath. Biden yells, "That's me! I'm Biden!" He then laughs and shakes his head. "First tweeting and now high and I don't know why we're just discussing birds here but you know I like birds, I was the one who actually signed the legislation that made birds legal, had to fight Milosovic on that but President Obama trusted me and I got it done." Booker asks, "Are you okay?" Biden responds with "Yes, Obama, I'm better than okay, you know, I endorsed the only black woman in the Senate!" Harris, calmly holding Tulsi Gabbard in a chokehold, says, "That's not true, I'm right here!" Biden replies, "No not you, the Kenyan lady from that Pete guy's ad, she's great!" Tom Steyer interrupts and asks if he can fix this by giving someone money? Warren does not look up from her crossword puzzle as Klobuchar pulls out a crockpot of Swedish meatballs and offers them to the moderators.
11:00 PM: Candidates give their closing statements.
BOOKER: I did a lot better! Well, I'm out of fruit and I want more juice so please send me donations or pears would also be good — no pesticides.
STEYER: FINALLY! Okay, I have some things to say. First off [an orchestra suddenly appears and interrupts loudly playing him off.]
GABBARD: Every story needs a villain. Let me be that villain, for you, the American people.
YANG: As a parent, I understand that we need to leave our children with a world that is better than it is now, so there is no need for me to provide any further details about my plan to do that.
KLOBUCHAR: I just don't understand how none of you idiots get that I'm just fundamentally much nicer than you.
HARRIS: People like to disparagingly call me a cop, so I'd like to remind you that's not me, I'm so much more than that: I'm a prosecutor who works with cops.
BUTTIGIEG: I'm not running to get rid of Trump, I'm running for the day after Trump's gone, when we can finally get to work and show America that change is too hard and there's no point, nor any benefit, to trying.
SANDERS: [Is out behind the studio just shooting basket after basket, sinking each one, waiting for his shared Lyft]
WARREN: [Looking up from crossword] I forgot to say this tonight but my whole thing now is anti-corruption. Thanks.
BIDEN: I just don't think you all were nice enough to me, and you at home watching this, spending hours, staying up late, being tired for work tomorrow just to keep yourself informed and educated on our political process, you're not doing enough either. God bless us all.
Times I've Silently Belted "Let it Go" to Cope With Corporate Culture
If You Ever Want to See Your Grandchild Again, You'll Subscribe to Our New Streaming Network
The 2048 Republican Presidential Primary Candidates Debate What Should Be Done About the World's 250 Million Climate Refugees
by Chas Gillespie
Lesser-Known Facts, Democratic Party Edition
by John Warner
Email Subject Heading from the Democratic National Committee or Text from an Emotionally Immature Friend?
by Audrey Kaufman
Fuck Off, Dad! We're Eating Apple Jacks
by Chris Keilman


text:
Franciaország
Sagy, település Saône-et-Loire megyében
Sagy, település Val-d'Oise megyében


Question: What is an WK! File?
Have you found, downloaded or received an WK! file, but don't know which software program is required to open it?
Before attempting to open an WK! file, you'll need to determine what kind of file you are dealing with and whether it is even possible to open or view the file format.
Answer: Files which are given the .WK! extension are known as Lotus 1-2-3 Spreadsheet files, however other file types may also use this extension. If you are aware of any additional file formats that use the WK! extension, please let us know.
The best way to open an WK! data file is to simply double-click it and let the default assoisated application open the file. If you are unable to open the file this way, it may be because you do not have the correct application associated with the extension to view or edit the WK! file.
Tip: Try to open the WK! file using a text-editor such as Notepad, as many file types contain simply contain unformatted plain-text and can viewed correctly using this method.
The WK! file extension is a Lotus 1-2-3 file that was compressed and saved using a program called SQZ!. Not sure where you can find the program at this point.
I have a copy of SQZ! version 1.5 on both a 3.5 floppy disk and on my hard drive. It is a DOS program, and I am not sure how to run it to uncompress the spreadsheet files. Incidentally, SQZ! compressed *.WKS files as *.WK$ and *.WK1 files as *.WK!. Any help with how to run this file in the DOS box under either Windows XP or Windows 7 would be appreciated.


text:
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As threats to the company mount, TikTok pushes back
by admin | Aug 1, 2020 | Management and Production Software
Source: Microsoft
As TikTok's existential rollercoaster ride continues to rattle on, the company is trying to sway regulators and the public with a flood of dollars and arguments wrapped in free enterprise and free speech to ensure that its parent company Bytedance can retain control of its operations.
The push to validate its business comes as reports swirl around a potential Presidential ban and bid from Microsoft to take over the company's business in the U.S.
ByteDance and Microsoft offer deal to allow TikTok to remain in the U.S., per report
As it confronts domestic competitors and political attacks, TikTok and its parent company Bytedance have picked up some defenders from the American civil rights movement.
Late last night, the American Civil Liberties Union tweeted its objections to the proposed ban by President Trump.
Banning an app like TikTok, which millions of Americans use to communicate with each other, is a danger to free expression and technologically impractical. https://t.co/ZbN7f2TOwF
— ACLU (@ACLU) August 1, 2020
"With any Internet platform, we should be concerned about the risk that sensitive private data will be funneled to abusive governments, including our own," the ACLU wrote in a subsequent statement. "But shutting one platform down, even if it were legally possible to do so, harms freedom of speech online and does nothing to resolve the broader problem of unjustified government surveillance."
Meanwhile, the sentiment in China seems resigned to the U.S. forcing Bytedance to divest of its US interests. In a survey by Sina Technology on the social media platform, Weibo asking what people think of Bytedance potentially selling TikTok to Microsoft, 36.7k of the total 75.3k respondents saw it as "a reluctant and helpless solution that's understandable," while 35.1k said they are "disappointed and hope [the company] can hold up for a bit more". https://m.weibo.cn/1642634100/4533238409991735
Even as ownership of the service remains an open question, the company moved quickly to reassure its users that TikTok would continue to operate in the U.S.
TikTok says it's "not planning on going anywhere" in response to pending U.S. ban
The company is also redoubling its efforts to appeal to creators even as it faces defections over its potential mishandling of user data.
On Tuesday, a clutch of the company's largest celebrities, with a collective audience of some 47 million viewers, abandoned the platform for its much smaller competitor, Triller.
Founded in 2015, two years before TikTok began its explosive rise to prominence, Triller is backed by some of the biggest names in American music and entertainment including Snoop Dogg, The Weeknd, Marshmello, Lil Wayne, Juice WRLD, Young Thug, Kendrick Lamar, Baron Davis, Tyga, TI, Jake Paul and Troy Carter.
Now, TikTok stars Josh Richards, Griffin Johnson, Noah Beck and Anthony Reeves are joining their ranks as investors and advisors. Richards, Johnson, Beck and Reeves are also being compensated by Triller, but the reason they cited for leaving the service are the security concerns from governments.
Triller is compensating Richards, Johnson, Beck, and Reeves, though the details of the deals are undisclosed. Despite that, the creators say they're leaving TikTok because they've grown wary of the Chinese-owned company's security practices.
"After seeing the U.S. and other countries' governments' concerns over TikTok—and given my responsibility to protect and lead my followers and other influencers—I followed my instincts as an entrepreneur and made it my mission to find a solution," Richards, who's assuming the title of chief strategy officer, told the LA Times.
TikTok has responded by announcing a dramatic increase in the company's creator fund. Initially set at $200 million, in a blog post earlier this week, TikTok chief executive Kevin Mayer announced that the fund would reach $1 billion over the next three years.
TikTok's charm offensive may stave off the assaults, but the company will need to address concerns around user data. It's the most pressing threat to the company and the one it's least equipped to deal with.
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English: Vršovice is a district in Prague, located southeast of city centre. It borders Vinohrady in the north, Strašnice in the east, Michle in the south and Nusle in the west.
See also categories: Vršovice (Louny District) and Vršovice (Opava District).


text:
Andre Leon Talley and Anna Wintour had a falling out, so what happened?
After Christian Wakeford's defection, party sources say 'a number' of Tory MPs are considering switching to Labour.
Hetty Receives an Unexpected Visitor From Her Past in a Ghosts Sneak Peek
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You are at:Home » Sports » The date on which snow will fall in Glasgow this month is unknown, but temperatures are expected to plummet.
The date on which snow will fall in Glasgow this month is unknown, but temperatures are expected to plummet.
By SAMANTHA Lee on January 14, 2022 Sports
AccuWeather has updated their weather forecast for the rest of the month, revealing the exact date when snow is expected to fall in Glasgow as temperatures drop.
Glasgow is set to be plunged back into wintery conditions later this month, following a couple of weeks of milder weather.
Snow and ice were predicted to return to the city by the end of January, and forecasters have revealed the exact date.
On January 29, snow showers are expected in Glasgow, according to AccuWeather.
READ MORE — Lidl shoppers laud "comfy and warm" £5 winter products ahead of the return of the white stuff
The city will remain mostly mild for the next week or so, with average temperatures hovering around 10 degrees Celsius.
Temperatures, on the other hand, are expected to drop to 0C on January 28 and remain cold for the rest of the month.
The temperature in the city is expected to drop to -1C on January 29, making snowfall very likely.
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The next day, the skies are expected to clear up a bit with some sunny intervals, but temperatures are expected to drop to -1C once more.
The cold spell is expected to end in February, with AccuWeather predicting an average temperature of 7 degrees Celsius on the first day of the month, though rainfall is 94% likely.
The rainy weather isn't expected to let up in the days ahead, implying a wet start to the month.
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