Jennifer Lopez takes the ‘natural’ approach to beauty and has never had Botox

Jennifer Lopez has a “natural” approach to skincare.

a girl posing for a picture

© Bang Showbiz

The ‘Waiting For Tonight’ hitmaker – who has just unveiled her eponymous JLo beauty brand – has insisted her glowing complexion is not the result of Botox and she will hold off turning to “the needles” for as long as she can by using the best products.

Jennifer was involved in the creation of every piece in her upcoming range, which drops on January 1, 2021, including the That JLo Glow serum – which took 20 attempts to get right.

And the 51-year-old singer-and-actress insisted she would never put out skincare that she didn’t believe in under her own name.

Speaking to Glamor, she said: “I’m not that person. I don’t have anything against people doing that; it’s just not my thing.

“I’m more about a natural approach to skincare. Whatever topical I use has to be somewhat natural, but I want them to work. I want the hyaluronic acid in there. I want the things that are going to help, because I don’t want to have to go to the needles at some point. I’m not saying one day I won’t, but I haven’t yet.”

The line is comprised of eight products in total – which come in rose gold packaging inspired by Jennifer’s favorite brand Cartier – with prices ranging between $18 (face mask) and $79 for the That JLo Glow serum.

The ‘Made in Manhattan’ star – who is constantly asked what the secret to her ageless appearance is – also revealed that she has olive oil to thank for her radiant glow.

She said: “This has been something I’ve been thinking about for maybe the past 20 years.

“I was just, like, I have to do skincare because the number one question, no matter where I went – if I was filming a movie, music, or whatever – was, What are you doing for your skin? And as I got more mature, the question came even more frequently.”

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Natural Gas Bulls Can’t Get Anything Going As Weather Model Flip Flops

Welcome to flip-flop edition of Natural Gas Daily!

Our last three bullish BOIL trades ended with one in profit and two losses. It’s not been a great start to winter gas trading for the bulls as any resemblance of bullish weather gets pulled just days later.


The latest outlook is the same as the Alaska ridge now disappears and a Southeast ridge develops. Note that On Monday when we published our natural gas article, you can see at the time the 15-day pattern was very bullish.

Image from Monday update:


The key to sustained bullish weather (colder than normal) is for Alaska and Greenland to be in a ridge pattern or yellow to red. This keeps the cold air in the high demand regions, which boosts heating demand and increases storage draws.

The latest development is just another long series of slaps to the bulls’ face as the ridge in Alaska disappears and a Southeast ridge develops again.

In terms of heating degree days, this is going to be slightly bearish vs. the 30-year average, while higher than the 10-year average. The 10-15 day is still trending colder than normal, but the market is questioning just how long this bullish outlook will actually persist.

For us, we have decided to take the loss on our BOIL trade and wait it out. This is not an outlook we are particularly fond of, and considering that natural gas continues to be driven by weather model changes, it’s not in our interest to stay in BOIL only to see it suffer from contract roll and volatility decay.

As for the fundamentalists, this outlook isn’t bad. While you want a very cold winter to increase the odds of even higher natural gas prices for 2021, the latest outlook is not bad. Lower 48 production has also started to peak and roll over all the while LNG exports are now past ~11 Bcf/d.

These two fundamental forces should help balances remain tight to a deficit. And considering the latest weather outlook is not overwhelmingly in favor for the bulls, we still estimate a deficit of ~2.83 Bcf/d.

The difference in short-term vs medium-term

Taking a step back, it’s important to be reminded of this over and over again. Winter gas trading (e.g. January to March contracts) is pretty much all about the weather. If the weather outlook is trending bearish, prices will go down. If the weather outlook is trending bullish, prices will go up. The fundamentals play a role in the severity of how much prices go up and down, but the key driver is weather model updates. So don’t confuse the bullish deficit with why prices are falling today. Bearish weather model updates will do that to prices.

So if you are taking a longer-term approach to this, fundamental estimates matter more such as where Lower 48 production will be by next Spring. But for those of you trading natural gas, near-term weather updates matter more.

While the

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Researchers model urban airflows to help improve the design of drones, skyscrapers, and natural ventilation systems

The science of windy cities
A team from Oklahoma State University attached sensors to robotic aircraft to take more cohesive measurements of building wakes, or the disturbed airflow around buildings. Credit: Jamey Jacob

Global population and urbanization have boomed over the last few decades. With them came scores of new tall buildings, drones, more energy-efficient ventilation systems, and planned air taxis by Uber and other companies. But these technological advancements must contend with a natural physical phenomenon: wind.

Scientists presented the latest findings on modeling and predicting urban airflow—in the hope of building better buildings, cities, and transportation—at the 73rd Annual Meeting of the American Physical Society’s Division of Fluid Dynamics.

The urban skies of the future could teem with autonomous aircraft: air taxis, drones, and other self-flying systems. A team from Oklahoma State University has developed techniques to model environmental hazards these vehicles might encounter so they can safely navigate cities.

“Urban environments present enormous challenges for drone and urban air mobility platforms,” said researcher Jamey Jacob, who led the team. “In addition to the challenges of traffic congestion and obstacles, critical technology gaps exist in modeling, detecting, and accommodating the dynamic urban local wind fields as well as in precision navigation through uncertain weather conditions.”

Researchers attached sensors to robotic aircraft to take more cohesive measurements of building wakes, or the disturbed airflow around buildings. They combined this data with numerical predictions to get a better picture of the complex wind patterns found in urban environments.

The work could help improve wind and weather forecasting, not only for unmanned aircraft but also for conventional airplanes.

“The potential of outfitting every drone and urban air taxi, as well as other aircraft, with sensors provides a game changing opportunity in our capability to monitor, predict, and report hazardous weather events,” said Jacob.

Another group, based at the University of Surrey also investigated building wakes. With an eye toward enhancing air quality in cities, they looked for wake differences between a single tall building and a cluster of tall buildings.

“Understanding how to model the wake of tall buildings is the first step to enable city planners to reduce the heat-island effect as well as improve urban air quality,” said Joshua Anthony Minien, a researcher in mechanical engineering.

The team carried out experiments in a wind tunnel, varying the grouping, aspect ratio, and spacing of tall buildings. They were encouraged to see that when measured far enough downstream, a cluster of buildings and an isolated building have similar wake characteristics. Changes to wind direction also seem to significantly affect the wakes of clusters of buildings.

All buildings, tall or not, must be ventilated.

“The ability to predict ventilation flow rates, purging times and flow patterns is important for human comfort and health, as highlighted by the need to prevent the airborne spread of coronavirus,” said University of Cambridge researcher Nicholas Wise.

With engineering professor Gary Hunt, Wise found a problem in current models of passive natural ventilation systems. These often use displacement flow—where cooler night air

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