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WRDG (96.7 The Beat)/Atlanta Moves To WBZY's Frequency As 105.3 The Beat

iHEARTMEDIA Urban WRDG (96.7 THE BEAT)/ATLANTA has made a move up the dial to the 105.3 signal of WBZY. 105.3 THE BEAT replaces the temporary simulcast of Regional Mexican WRDA  … more




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‘Swept Away” Musical Featuring Music By The Avett Brothers Bumped Until Summer 2021

A new musical called SWEPT AWAY, featuring the music of THE AVETT BROTHERS and written by TONY AWARD-winning stage and screen writer JOHN LOGAN, was scheduled to have its world premiere at … more




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iHeartMedia/Orlando Creates Online 'Education Fair'

iHEARTMEDIA's ORLANDO cluster is holding an online college and vocational fair for students. The "Education Fair Education Summit" will be held MAY 14-15 9a-6p (ET), with … more




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Volbeat Streaming 'Live From Beyond Hell/Above Heaven' Concert Film

REPUBLIC Rockers VOLBEAT are treating their fans to a live stream of their concert film "Live from Beyond Hell/Above Heaven" on their YOUTUBE channel FRIDAY, MAY 8th at 10a (ET). … more




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Push The Boundaries Of Creativity And Fun During COVID-19 -- Your Radio Audience Will Thank You

Rally your troops to get virtual to bring new creative ideas to your radio stations. Get on ZOOM and have a brainstorming session with your creative teams and clients. Time to squeeze new … more




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Wil Wheaton

Wil is widely recognized as one of the original celebrity bloggers, and is a respected voice in the blogging community. His blog WWdN has been voted “Best Celebrity Weblog” by Forbes.com, one of the 100 most influential blogs by C|Net,...




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The Undefeated

The Undefeated is a digital publication from ESPN exploring the intersections of race, sports and culture.




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The great bat flip mystery

In MLB, bat flips have long symbolized disrespect. In South Korea, they are art.




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Diagnosing and treating resistant hypertension

Statement Highlight: Resistant blood pressure affects 12 percent to 15 percent of people currently being treated for high blood pressure.




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Updated cholesterol guidelines offer more personalized risk assessment, additional treatment options for people at the highest risk

Statement Highlights: High cholesterol, at any age, can increase a person’s lifetime risk for heart disease and stroke. A healthy lifestyle is the first step in prevention and treatment to lower that risk. The 2018 guidelines recommend more detailed risk assessments to help health care providers better determine a person’s individualized risk and treatment options. In some cases, a coronary artery calcium score can help determine a person’s need for cholesterol-lowering treatment, if their risk status is uncertain or if the treatment decision isn't clear.




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Updated treatment guidelines for atrial fibrillation recommend a new class of blood thinners to help prevent stroke

Focused Update Highlights: Newer anticoagulants, known as non-vitamin K oral anticoagulants (NOACs), are recommended over the traditional warfarin to prevent stroke in people with atrial fibrillation (AFib). Weight loss is recommended for overweight or obese people with AFib.




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Growing cardiovascular genetics field calls for special multidisciplinary clinical programs to better identify and treat inherited heart conditions

Statement Highlights: In a new scientific statement, the American Heart Association supports the creation of specialized multidisciplinary clinical programs that combine cardiovascular medicine and genetics expertise. These specialized programs would use genetic information to better treat patients with inherited heart conditions, as well as assess family members without current heart problems and take steps to reduce their risk.




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Treating Type 2 diabetes and heart failure

People with type 2 diabetes are at an increased risk for heart failure and many people have both diseases, which requires careful medical management.




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Better science needed to support clinical predictors that link cardiac arrest, brain injury, and death: a statement from the American Heart Association

Statement Highlights: While significant improvements have been made in resuscitation and post cardiac arrest resuscitation care, mortality remains high and is mainly attributed to widespread brain injury.Better science is needed to support the ...




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Treating more than just the heart is critical for geriatric patients

Statement Highlights: Geriatric conditions such as frailty, cognitive impairment, taking multiple medications and having multiple medical conditions complicate care for older people with acute cardiovascular diseases. Most research on how to treat...




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Fast action and the right resources are key to treating fulminant myocarditis

Statement Highlights: Fulminant myocarditis develops quickly and can prove fatal without early recognition and advanced medical therapy. A new scientific statement from the American Heart Association details the resources needed to diagnose and treat...




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Patients taking ACE-i and ARBs who contract COVID-19 should continue treatment, unless otherwise advised by their physician

Embargoed until 8 a.m. CT/9 a.m. ET, Tuesday, March 17, 2020   DALLAS, Tuesday, March 17, 2020 – As the global impact of COVID-19 rises, the scientific community continues to evaluate the clinical impact and health care needs of patients with...




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The new pandemic threat: People may die because they’re not calling 911

DALLAS, April 22, 2020 — Reports from the front lines of hospitals indicate a marked drop in the number of heart attacks and strokes nationally. But, COVID-19 is definitely not stopping people from having heart attacks, strokes and cardiac arrests. We ...




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Framework on how to safely resume essential cardiovascular diagnostic and treatment care during the COVID-19 pandemic, from the AHA and 14 North American cardiovascular societies

AHA COVID-19 newsroom     DALLAS, May 4, 2020 — The American Heart Association, together with 14 cardiovascular societies in North America, today issued joint guidance, “Safe Reintroduction of Cardiovascular Services during the COVID-19 Pandemic:...




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Mechanical clot removal without clot busters may be sufficient stroke treatment

Research Highlights: Mechanical clot removal alone may be as effective as combining it with intravenous (IV) clot-busting medications for stroke patients.    Mechanical clot removal alone reduced the risk of brain bleeding in this Japanese...




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Surgeons successfully treat brain aneurysms using a robot

Research Highlights: A robot was used to treat brain aneurysms for the first time. The robotic system could eventually allow remote surgery, enabling surgeons to treat strokes from afar. Embargoed until 11:15 a.m. Pacific Time / 2:15 p.m. Eastern ...




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Eating more plant protein and dairy instead of red meat may improve heart health




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Online business exchange creates community, makes critical connections to meet needs during COVID-19 pandemic

DALLAS, April 29, 2020 — As the shortage of many goods, resources and services grows during the ongoing COVID-19 pandemic, the American Heart Association, the leading nonprofit organization focused on a world of healthier lives for all, has launched ...




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Stroke survivors honored with national award for resilience and creativity

DALLAS, April 27, 2020 — Stroke is a leading cause of death and a major cause of disability in the U.S. Yet millions of survivors, caregivers and supporters overcome the challenges stroke presents each day. This year, the American Stroke Association, ...





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The Many Lands of Manyland – A Trip to a Universe of Creativity

As like must of our readers, we have been stuck home in quarantine for the past weeks. Or is it months? It’s hard to tell. Anyway, we decided to use this spare time to find some games that are both fun and have design value. So, we looked for a game that induced creativity, was...




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Why Employees Are Your Greatest Asset in Preventing Phishing Attacks – [Infographic]

Phishing attacks are on the rise and have more than doubled from 2013-2018. In 2018, 64% of businesses experienced a phishing attack – costing nearly $2 million per incident. 1 in 3 consumers will stop supporting a business after they’ve undergone a security breach, and 74% of hackers say they’re rarely impressed by an organization’s...




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Risk of Repeat Concussion Among Patients Diagnosed at a Pediatric Care Network

Concussion is a common childhood injury that may lead to long-term physical, behavioral, and neurocognitive effects, affecting learning and school performance. There is increasing concern about the potential for repeat concussions among professional and high school athletes, with specific attention focused on understanding how sustaining a concussion alters future concussion risk. Addressing repeat concussion risk among youth has substantial implications for clinical practice in terms of managing exposure — particularly regarding youth sports participation — and long-term health and development.




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Deaths from Fall-Related Traumatic Brain Injury — United States, 2008-2017

The national age-adjusted rate of fall-related TBI deaths increased by 17% from 2008 to 2017; rates increased significantly in 29 states and among nearly all groups, most notably persons living in noncore nonmetropolitan counties and those aged ≥75 years.





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How to Create A Comic Book Text Effect

Learn how to create a 3D comic book text effect that pops! You will get very familiar with many different layer styles. We will start by creating the background with halftone brushes and then proceed to creating our text effect. Lastly, we will finish it off by adding a bevel effect with a stroke.

The post How to Create A Comic Book Text Effect appeared first on Photoshop Lady.




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Weird Kafka-Style Anatomies, Fantastic Creatures And Fancies Chart By Camille Renversades

Fantastic creatures and fancies chart by Camille Renversade, French chimérologist. Inspired by the old school boards, like the old Deyrolle...




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This Art Collective Creates Concepts That Have Emerged From The Coronavirus Pandemic

The Coronavirus is changing our relation to each other and affecting our perception of reality. This virus is very democratic:...




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No cheating in virtual Run CRANDIC

I haven’t run a marathon since ... Well, it’s been so long, I don’t even remember. My longest run each week these days is 5 miles ... 5.38 if I’m feeling extra spunky and...




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Best sports movies: College football managed to survive ‘Horse Feathers’ takedown

Editor’s note: The Gazette sports staff has compiled lists of its top 15 favorite sports movies. Each day, a different staffer will share some insight into one of their favorites. Some of them...





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Collaboration creates Camp-in-a-Bag kits for mentoring program

“I pledge my Head to clearer thinking, my Heart to greater loyalty, my Hands to larger service, and my Health to better living, for my club, my community, my country, and my world.”...




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Uptown Marion Market opening with caveats

MARION — While the Uptown Marion Market will continue to sell fresh produce, it will look a little different this year. The market will continue operating on the second Saturday of June, July...




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‘Death stalked swiftly’ in 1918. What will we remember now?

In August 1919, the Cedar Rapids Evening Gazette opined in favor of the passage of a $5 million congressional appropriation to “investigate influenza, its cause, prevention and...




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‘Death stalked swiftly’ in 1918. What will we remember now?

In August 1919, the Cedar Rapids Evening Gazette opined in favor of the passage of a $5 million congressional appropriation to “investigate influenza, its cause, prevention and cure.”

“We all remember without effort the darkness and terror which engulfed the land last fall and winter as death stalked swiftly from seaboard to seaboard, into crowded city and unto lonely plain, sparing not the cottage of the poor nor the mansion of the rich,” the editorial said. “In four short months, influenza claimed a half million lives and pressed millions of others onto beds of sickness, suffering and helplessness. The nation’s mortality rate leapt high and with astounding speed. The nation was unprepared to cope with a disease calamity such as it has never known.”

The Gazette lamented that billions of dollars in loss were wrought by the pandemic of so-called Spanish influenza, compared with only $5 million being spent to investigate the virus.

“More has been spent in studying diseases of hogs,” the editorial argued.

Just less than a year earlier, The Evening Gazette did not see “darkness and terror” coming. A front page, above-the-fold story Sept. 25, 1918, asked: “Spanish Influenza just the old-fashioned grippe?” “Grippe” is an old-time term for the flu, by the way.

“As a matter of fact, in the opinion of City Physician Beardsley, and a good many other Cedar Rapids men in the same profession, Spanish influenza is just another name for the regular old fashioned influenza and is no different from the influenza we have always had. A bad cold is a bad cold, and a worse cold is grippe, which covers a multitude of things ...,” The Gazette reported, optimistically.

An earlier strain of influenza in the spring of 1918 had been less virulent and deadly. But the second wave was no ordinary grippe.

By mid-October, according to reports in The Evening Gazette, influenza caseloads exploded. On Oct. 12, 1918, the local health board shut down pool rooms, billiard halls and bowling alleys. It pleaded with store owners to avoid allowing crowds to linger. On Oct. 16, stores were ordered to discontinue any special sales that might draw more shoppers.

Restrictions tightened as the pandemic worsened.

Death notices were stacking up on Gazette pages, in rows reminiscent of small tombstones. Many victims were cut down in the prime of life by a virus that struck young, healthy people hardest. Mothers and fathers died, leaving young children. Soldiers serving in World War I died far away from home. Visitors to town never returned home.

Young brothers died and were mourned at a double funeral. A sister who came to care for a sick brother died, and so did her brother.

Ray Franklin Minburn, 24, died of influenza, leaving behind six sisters and two brothers. “Mr. Minburn was a faithful son, a devoted companion, a good neighbor,” concluded his death announcement on Oct. 21, 1918.

On the same page that day came news, tucked among the tombstones, reporting that Iowa Gov. William Harding had recovered from influenza, in the midst of his reelection campaign, and was back in the office. You might remember Harding as the governor who banned German and other languages during World War I and who was nearly impeached for bribery in 1919.

Not far from Harding’s update came news from the prison in Anamosa that “whisky and quinine” were being deployed to attack the grippe.

The pages of The Evening Gazette also were dotted with advertisements for supposed cures and treatments.

“Danger of infection from influenza or any contagious disease can be eliminated by using preventive measures,” prescribed by Ruby S. Thompson, chiropractor and naturopathic physician. Those included “Sulphur-vapor baths, Carlsbad mineral bath.”

You could build up your blood using “Gude’s Pepto-Mangan,” the “Red Blood Builder.” Keep your strength up with Horlick’s Malted Milk.

One ad looked exactly like a news story, carrying the bold headline “Druggists still asked to conserve stocks of VapoRub needed in ‘flu’ districts.” In a tiny notation at the end of the “story” were the words “The Vicks Chemical Co.”

That August 1919 Gazette editorial I mentioned makes me wonder what we’ll be writing in a year or so after our current pandemic.

Death stalking us swiftly from seaboard to seaboard in an unprepared nation, preceded by the casual insistence it’s no worse than the seasonal flu, sounds eerily familiar in 2020. More attention is being paid to hogs than the health of humans working in meatpacking plants.

Will we be writing in 2021 how reopening states and counties too soon led to our own second wave? Here in Iowa, reopening began before we had a fully working predictive model to chart the pandemic’s course and before new testing efforts had a chance to ramp up. Will decisions made without crucial information look smart in 2021? Or will we wish we’d waited just a couple more weeks?

What of the protesters demanding liberation? What about the president, running for reelection in a nation harmed by his crisis mismanagement? What will a new normal look like?

Will there be newspapers around to editorialize in the aftermath? After all, most of the pitches for fake cures are online now, some even extolled at White House briefings.

And will we be better prepared next time? I bet editorial writers in 1919 figured we’d have this pandemic response thing down to a science by now.

Little did they know that in 2020 we’d have so little respect for science. And after a century-plus, the darkness and terror apparently slipped our minds.

(319) 398-8262; todd.dorman@thegazette.com




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How to Use apply_filters() and do_action() to Create Extensible WordPress Plugins

How does a single plugin become the basis of a thriving technology ecosystem? Partly by leveraging the extensibilitythat WordPress’s event-driven Hooks system makes possible.




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How to Create a WordPress Intranet for Your Organization

Do you want to create a WordPress intranet for your organization? WordPress is a powerful platform with tons of flexible options that makes it ideal to be used as your company’s intranet. In this article, we will show you how to create a WordPress intranet.




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Creating a custom widget

Today let’s learn a simple quick trick on how to create a custom widget. For my example I will show you how I created my Showcase widget located in the middle, to the right of the posts. First under your functions.php file type in the following: <?php // Custom Widget function MyCustomWidget() { ?> <li […]

The post Creating a custom widget appeared first on WPCult.




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Collaboration creates Camp-in-a-Bag kits for mentoring program

“I pledge my Head to clearer thinking, my Heart to greater loyalty, my Hands to larger service, and my Health to better living, for my club, my community, my country, and my world.” — 4-H pledge

The Johnson County 4-H program is living up to these words, teaming up with Big Brothers Big Sisters of Johnson County to assemble Camp-in-a-Bag kits for the youngest “Littles” enrolled in the BBBS mentoring program.

Big Brothers Big Sisters creates one-on-one opportunities between adult volunteer mentors and at-risk youths ages 6 to 18. Known as “Bigs” and “Littles,” they meet for at least six hours a month for 18 months. But those in-person outings to movies, museums, restaurants, recreational activities and new adventures, as well as monthly events and school-based programs organized by the agency, are on hold during the COVID-19 pandemic.

So the kits became an outreach outlet.

“I was thinking about ways that we would be able to connect with our Littles, to let them know that we’re thinking about them,” said Dina Bishara, program specialist for Big Brothers Big Sisters of Johnson County. “And also in a very small way, to try to fill that gap that so many kids are experiencing right now. They’re used to the structure and activity of school and extracurricular activities and playing with friends.”

The bags contain more than six hours of STEAM — science, technology, engineering, arts and math — activities, from the pieces needed for building gliders and balloon flyers, to conducting scientific experiments, planting seeds, choosing healthy snacks and writing down their thoughts.

Those activities also reflect the other contributing partners: Johnson County Master Gardeners, Johnson County Extension and Outreach’s Pick a Better Snack program, O’Brien Family McDonalds and Forever Green Garden Center.

“(We wanted to) just give them something really fun and also educational and engaging, to help them spend time with their siblings, if they have them, and get their parents involved, if possible — and just really keep them connected to that learning and the fun, but also to Big Brothers Big Sisters,” Bishara said. “Camp-in-a-Bag helps us structure things in an intentional and thoughtful way.”

Partnering with 4-H, known for its summer camps, fairs and educational programs, “was a really great way to make sure that the activities we were including were really robust, so it was not going to be a hodgepodge, throw-some-things-in-a-bag,” Bishara added. “We really needed to be deliberate about it, to have the directions nicely laid out.”

The first wave is being distributed to 20 elementary-age children, and officials are hoping to expand the project.

“Funding is always a question,” Bishara said. “We would love to expand to 20 or 40 for more. ... We’d sure like to be able to target the kits to a little older kids, who have different interests.”

Bishara and Kate Yoder, who works with 4-H out of the Iowa State University Extension office in Johnson County, are eager to continue their collaborative efforts.

“It really great,” Yoder said. “When you work together, things comes together and amazing things happen. I’m excited to see what the future holds — what partnerships we can build on and grow.”

Comments: (319) 368-8508; diana.nollen@thegazette.com

To help

• What: Big Brothers Big Sisters Camp-in-a-Bag kit contributions

• Contact: Email Dina Bishara at dina@bbbsjc.org




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Uptown Marion Market opening with caveats

MARION — While the Uptown Marion Market will continue to sell fresh produce, it will look a little different this year.

The market will continue operating on the second Saturday of June, July and August with some adjustments.

But the city of Marion has canceled community events until at least early July because of the coronavirus pandemic.

The Uptown market will run along Sixth Avenue instead of being held in City Square Park. It will be fenced and no more than 50 people will be let in at an time.

Jill Ackerman, president of the Marion Chamber of Commerce, said there are usually between 50 and 60 vendors at each market, but she expects only 15 to 25 at this summer’s markets.

“The main thing here is safety,” Ackerman said. “We want to make sure people have opportunities to buy fresh produce from our local growers, but we’re going to ask patrons to only spend 30 minutes inside the market.”

Vendors will sell produce and some plants, but artisan items will not be available.

While there will be summer events through the Chamber of Commerce, Ackerman said, they will be fewer and look a little different than they usually do.

Free community concerts and movie nights are canceled until July by the city, according to a news release.

The Marion Farmers Market, held at Taube Park, is expected to resume May 16.

Officials hope to have smaller-scale events throughout the summer like performances in the Uptown Artway, Messy Art Days and the Tiny Fair series as restrictions ease.

Sunrise Yoga at the Klopfenstein Amphitheater at Lowe Park is expected to take place every Saturday from June to August.

“Unfortunately, given our current reality, we know that 2020 will be far from normal,” said Marion Mayor Nicolas AbouAssaly. “After careful consideration and consultation with event organizers and sponsors, we have made the collective decision to cancel the free community concerts, events and movie nights originally planned for our outdoor public venues through early-July.”

Comments: (319) 368-8664; grace.king@thegazette.com




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&#x2018;Death stalked swiftly&#x2019; in 1918. What will we remember now?

In August 1919, the Cedar Rapids Evening Gazette opined in favor of the passage of a $5 million congressional appropriation to “investigate influenza, its cause, prevention and cure.”

“We all remember without effort the darkness and terror which engulfed the land last fall and winter as death stalked swiftly from seaboard to seaboard, into crowded city and unto lonely plain, sparing not the cottage of the poor nor the mansion of the rich,” the editorial said. “In four short months, influenza claimed a half million lives and pressed millions of others onto beds of sickness, suffering and helplessness. The nation’s mortality rate leapt high and with astounding speed. The nation was unprepared to cope with a disease calamity such as it has never known.”

The Gazette lamented that billions of dollars in loss were wrought by the pandemic of so-called Spanish influenza, compared with only $5 million being spent to investigate the virus.

“More has been spent in studying diseases of hogs,” the editorial argued.

Just less than a year earlier, The Evening Gazette did not see “darkness and terror” coming. A front page, above-the-fold story Sept. 25, 1918, asked: “Spanish Influenza just the old-fashioned grippe?” “Grippe” is an old-time term for the flu, by the way.

“As a matter of fact, in the opinion of City Physician Beardsley, and a good many other Cedar Rapids men in the same profession, Spanish influenza is just another name for the regular old fashioned influenza and is no different from the influenza we have always had. A bad cold is a bad cold, and a worse cold is grippe, which covers a multitude of things ...,” The Gazette reported, optimistically.

An earlier strain of influenza in the spring of 1918 had been less virulent and deadly. But the second wave was no ordinary grippe.

By mid-October, according to reports in The Evening Gazette, influenza caseloads exploded. On Oct. 12, 1918, the local health board shut down pool rooms, billiard halls and bowling alleys. It pleaded with store owners to avoid allowing crowds to linger. On Oct. 16, stores were ordered to discontinue any special sales that might draw more shoppers.

Restrictions tightened as the pandemic worsened.

Death notices were stacking up on Gazette pages, in rows reminiscent of small tombstones. Many victims were cut down in the prime of life by a virus that struck young, healthy people hardest. Mothers and fathers died, leaving young children. Soldiers serving in World War I died far away from home. Visitors to town never returned home.

Young brothers died and were mourned at a double funeral. A sister who came to care for a sick brother died, and so did her brother.

Ray Franklin Minburn, 24, died of influenza, leaving behind six sisters and two brothers. “Mr. Minburn was a faithful son, a devoted companion, a good neighbor,” concluded his death announcement on Oct. 21, 1918.

On the same page that day came news, tucked among the tombstones, reporting that Iowa Gov. William Harding had recovered from influenza, in the midst of his reelection campaign, and was back in the office. You might remember Harding as the governor who banned German and other languages during World War I and who was nearly impeached for bribery in 1919.

Not far from Harding’s update came news from the prison in Anamosa that “whisky and quinine” were being deployed to attack the grippe.

The pages of The Evening Gazette also were dotted with advertisements for supposed cures and treatments.

“Danger of infection from influenza or any contagious disease can be eliminated by using preventive measures,” prescribed by Ruby S. Thompson, chiropractor and naturopathic physician. Those included “Sulphur-vapor baths, Carlsbad mineral bath.”

You could build up your blood using “Gude’s Pepto-Mangan,” the “Red Blood Builder.” Keep your strength up with Horlick’s Malted Milk.

One ad looked exactly like a news story, carrying the bold headline “Druggists still asked to conserve stocks of VapoRub needed in ‘flu’ districts.” In a tiny notation at the end of the “story” were the words “The Vicks Chemical Co.”

That August 1919 Gazette editorial I mentioned makes me wonder what we’ll be writing in a year or so after our current pandemic.

Death stalking us swiftly from seaboard to seaboard in an unprepared nation, preceded by the casual insistence it’s no worse than the seasonal flu, sounds eerily familiar in 2020. More attention is being paid to hogs than the health of humans working in meatpacking plants.

Will we be writing in 2021 how reopening states and counties too soon led to our own second wave? Here in Iowa, reopening began before we had a fully working predictive model to chart the pandemic’s course and before new testing efforts had a chance to ramp up. Will decisions made without crucial information look smart in 2021? Or will we wish we’d waited just a couple more weeks?

What of the protesters demanding liberation? What about the president, running for reelection in a nation harmed by his crisis mismanagement? What will a new normal look like?

Will there be newspapers around to editorialize in the aftermath? After all, most of the pitches for fake cures are online now, some even extolled at White House briefings.

And will we be better prepared next time? I bet editorial writers in 1919 figured we’d have this pandemic response thing down to a science by now.

Little did they know that in 2020 we’d have so little respect for science. And after a century-plus, the darkness and terror apparently slipped our minds.

(319) 398-8262; todd.dorman@thegazette.com




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A lot to look forward to in 2017. How did 2016 treat you: ???? or...



A lot to look forward to in 2017. How did 2016 treat you: ???? or ????? (at San Francisco, California)




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TrailBuddy: Using AI to Create a Predictive Trail Conditions App

Viget is full of outdoor enthusiasts and, of course, technologists. For this year's Pointless Weekend, we brought these passions together to build TrailBuddy. This app aims to solve that eternal question: Is my favorite trail dry so I can go hike/run/ride?

While getting muddy might rekindle fond childhood memories for some, exposing your gear to the elements isn’t great – it’s bad for your equipment and can cause long-term, and potentially expensive, damage to the trail.

There are some trail apps out there but we wanted one that would focus on current conditions. Currently, our favorites trail apps, like mtbproject.com, trailrunproject.com, and hikingproject.com -- all owned by REI, rely on user-reported conditions. While this can be effective, the reports are frequently unreliable, as condition reports can become outdated in just a few days.

Our goal was to solve this problem by building an app that brought together location, soil type, and weather history data to create on-demand condition predictions for any trail in the US.

We built an initial version of TrailBuddy by tapping into several readily-available APIs, then running the combined data through a machine learning algorithm. (Oh, and also by bringing together a bunch of smart and motivated people and combining them with pizza and some of the magic that is our Pointless Weekends. We'll share the other Pointless Project, Scurry, with you soon.)

The quest for data.

We knew from the start this app would require data from a number of sources. As previously mentioned, we used REI’s APIs (i.e. https://www.hikingproject.com/data) as the source for basic trail information. We used the trails’ latitude and longitude coordinates as well as its elevation to query weather and soil type. We also found data points such as a trail’s total distance to be relevant to our app users and decided to include that on the front-end, too. Since we wanted to go beyond relying solely on user-reported metrics, which is how REI’s current MTB project works, we came up with a list of factors that could affect the trail for that day.

First on that list was weather.

We not only considered the impacts of the current forecast, but we also looked at the previous day’s forecast. For example, it’s safe to assume that if it’s currently raining or had been raining over the last several days, it would likely lead to muddy and unfavorable conditions for that trail. We utilized the DarkSky API (https://darksky.net/dev) to get the weather forecasts for that day, as well as the records for previous days. This included expected information, like temperature and precipitation chance. It also included some interesting data points that we realized may be factors, like precipitation intensity, cloud cover, and UV index. 

But weather alone can’t predict how muddy or dry a trail will be. To determine that for sure, we also wanted to use soil data to help predict how well a trail’s unique soil composition recovers after precipitation. Similar amounts of rain on trails of very different soil types could lead to vastly different trail conditions. A more clay-based soil would hold water much longer, and therefore be much more unfavorable, than loamy soil. Finding a reliable source for soil type and soil drainage proved incredibly difficult. After many hours, we finally found a source through the USDA that we could use. As a side note—the USDA keeps track of lots of data points on soil information that’s actually pretty interesting! We can’t say we’re soil experts but, we felt like we got pretty close.

We used Whimsical to build our initial wireframes.

Putting our design hats on.

From the very first pitch for this app, TrailBuddy’s main differentiator to peer trail resources is its ability to surface real-time information, reliably, and simply. For as complicated as the technology needed to collect and interpret information, the front-end app design needed to be clean and unencumbered.

We thought about how users would naturally look for information when setting out to find a trail and what factors they’d think about when doing so. We posed questions like:

  • How easy or difficult of a trail are they looking for?
  • How long is this trail?
  • What does the trail look like?
  • How far away is the trail in relation to my location?
  • For what activity am I needing a trail for?
  • Is this a trail I’d want to come back to in the future?

By putting ourselves in our users’ shoes we quickly identified key features TrailBuddy needed to have to be relevant and useful. First, we needed filtering, so users could filter between difficulty and distance to narrow down their results to fit the activity level. Next, we needed a way to look up trails by activity type—mountain biking, hiking, and running are all types of activities REI’s MTB API tracks already so those made sense as a starting point. And lastly, we needed a way for the app to find trails based on your location; or at the very least the ability to find a trail within a certain distance of your current location.

We used Figma to design, prototype, and gather feedback on TrailBuddy.

Using machine learning to predict trail conditions.

As stated earlier, none of us are actual soil or data scientists. So, in order to achieve the real-time conditions reporting TrailBuddy promised, we’d decided to leverage machine learning to make predictions for us. Digging into the utility of machine learning was a first for all of us on this team. Luckily, there was an excellent tutorial that laid out the basics of building an ML model in Python. Provided a CSV file with inputs in the left columns, and the desired output on the right, the script we generated was able to test out multiple different model strategies, and output the effectiveness of each in predicting results, shown below.

We assembled all of the historical weather and soil data we could find for a given latitude/longitude coordinate, compiled a 1000 * 100 sized CSV, ran it through the Python evaluator, and found that the CART and SVM models consistently outranked the others in terms of predicting trail status. In other words, we found a working model for which to run our data through and get (hopefully) reliable predictions from. The next step was to figure out which data fields were actually critical in predicting the trail status. The more we could refine our data set, the faster and smarter our predictive model could become.

We pulled in some Ruby code to take the original (and quite massive) CSV, and output smaller versions to test with. Now again, we’re no data scientists here but, we were able to cull out a good majority of the data and still get a model that performed at 95% accuracy.

With our trained model in hand, we could serialize that to into a model.pkl file (pkl stands for “pickle”, as in we’ve “pickled” the model), move that file into our Rails app along with it a python script to deserialize it, pass in a dynamic set of data, and generate real-time predictions. At the end of the day, our model has a propensity to predict fantastic trail conditions (about 99% of the time in fact…). Just one of those optimistic machine learning models we guess.

Where we go from here.

It was clear that after two days, our team still wanted to do more. As a first refinement, we’d love to work more with our data set and ML model. Something that was quite surprising during the weekend was that we found we could remove all but two days worth of weather data, and all of the soil data we worked so hard to dig up, and still hit 95% accuracy. Which … doesn’t make a ton of sense. Perhaps the data we chose to predict trail conditions just isn’t a great empirical predictor of trail status. While these are questions too big to solve in just a single weekend, we'd love to spend more time digging into this in a future iteration.



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TrailBuddy: Using AI to Create a Predictive Trail Conditions App

Viget is full of outdoor enthusiasts and, of course, technologists. For this year's Pointless Weekend, we brought these passions together to build TrailBuddy. This app aims to solve that eternal question: Is my favorite trail dry so I can go hike/run/ride?

While getting muddy might rekindle fond childhood memories for some, exposing your gear to the elements isn’t great – it’s bad for your equipment and can cause long-term, and potentially expensive, damage to the trail.

There are some trail apps out there but we wanted one that would focus on current conditions. Currently, our favorites trail apps, like mtbproject.com, trailrunproject.com, and hikingproject.com -- all owned by REI, rely on user-reported conditions. While this can be effective, the reports are frequently unreliable, as condition reports can become outdated in just a few days.

Our goal was to solve this problem by building an app that brought together location, soil type, and weather history data to create on-demand condition predictions for any trail in the US.

We built an initial version of TrailBuddy by tapping into several readily-available APIs, then running the combined data through a machine learning algorithm. (Oh, and also by bringing together a bunch of smart and motivated people and combining them with pizza and some of the magic that is our Pointless Weekends. We'll share the other Pointless Project, Scurry, with you soon.)

The quest for data.

We knew from the start this app would require data from a number of sources. As previously mentioned, we used REI’s APIs (i.e. https://www.hikingproject.com/data) as the source for basic trail information. We used the trails’ latitude and longitude coordinates as well as its elevation to query weather and soil type. We also found data points such as a trail’s total distance to be relevant to our app users and decided to include that on the front-end, too. Since we wanted to go beyond relying solely on user-reported metrics, which is how REI’s current MTB project works, we came up with a list of factors that could affect the trail for that day.

First on that list was weather.

We not only considered the impacts of the current forecast, but we also looked at the previous day’s forecast. For example, it’s safe to assume that if it’s currently raining or had been raining over the last several days, it would likely lead to muddy and unfavorable conditions for that trail. We utilized the DarkSky API (https://darksky.net/dev) to get the weather forecasts for that day, as well as the records for previous days. This included expected information, like temperature and precipitation chance. It also included some interesting data points that we realized may be factors, like precipitation intensity, cloud cover, and UV index. 

But weather alone can’t predict how muddy or dry a trail will be. To determine that for sure, we also wanted to use soil data to help predict how well a trail’s unique soil composition recovers after precipitation. Similar amounts of rain on trails of very different soil types could lead to vastly different trail conditions. A more clay-based soil would hold water much longer, and therefore be much more unfavorable, than loamy soil. Finding a reliable source for soil type and soil drainage proved incredibly difficult. After many hours, we finally found a source through the USDA that we could use. As a side note—the USDA keeps track of lots of data points on soil information that’s actually pretty interesting! We can’t say we’re soil experts but, we felt like we got pretty close.

We used Whimsical to build our initial wireframes.

Putting our design hats on.

From the very first pitch for this app, TrailBuddy’s main differentiator to peer trail resources is its ability to surface real-time information, reliably, and simply. For as complicated as the technology needed to collect and interpret information, the front-end app design needed to be clean and unencumbered.

We thought about how users would naturally look for information when setting out to find a trail and what factors they’d think about when doing so. We posed questions like:

  • How easy or difficult of a trail are they looking for?
  • How long is this trail?
  • What does the trail look like?
  • How far away is the trail in relation to my location?
  • For what activity am I needing a trail for?
  • Is this a trail I’d want to come back to in the future?

By putting ourselves in our users’ shoes we quickly identified key features TrailBuddy needed to have to be relevant and useful. First, we needed filtering, so users could filter between difficulty and distance to narrow down their results to fit the activity level. Next, we needed a way to look up trails by activity type—mountain biking, hiking, and running are all types of activities REI’s MTB API tracks already so those made sense as a starting point. And lastly, we needed a way for the app to find trails based on your location; or at the very least the ability to find a trail within a certain distance of your current location.

We used Figma to design, prototype, and gather feedback on TrailBuddy.

Using machine learning to predict trail conditions.

As stated earlier, none of us are actual soil or data scientists. So, in order to achieve the real-time conditions reporting TrailBuddy promised, we’d decided to leverage machine learning to make predictions for us. Digging into the utility of machine learning was a first for all of us on this team. Luckily, there was an excellent tutorial that laid out the basics of building an ML model in Python. Provided a CSV file with inputs in the left columns, and the desired output on the right, the script we generated was able to test out multiple different model strategies, and output the effectiveness of each in predicting results, shown below.

We assembled all of the historical weather and soil data we could find for a given latitude/longitude coordinate, compiled a 1000 * 100 sized CSV, ran it through the Python evaluator, and found that the CART and SVM models consistently outranked the others in terms of predicting trail status. In other words, we found a working model for which to run our data through and get (hopefully) reliable predictions from. The next step was to figure out which data fields were actually critical in predicting the trail status. The more we could refine our data set, the faster and smarter our predictive model could become.

We pulled in some Ruby code to take the original (and quite massive) CSV, and output smaller versions to test with. Now again, we’re no data scientists here but, we were able to cull out a good majority of the data and still get a model that performed at 95% accuracy.

With our trained model in hand, we could serialize that to into a model.pkl file (pkl stands for “pickle”, as in we’ve “pickled” the model), move that file into our Rails app along with it a python script to deserialize it, pass in a dynamic set of data, and generate real-time predictions. At the end of the day, our model has a propensity to predict fantastic trail conditions (about 99% of the time in fact…). Just one of those optimistic machine learning models we guess.

Where we go from here.

It was clear that after two days, our team still wanted to do more. As a first refinement, we’d love to work more with our data set and ML model. Something that was quite surprising during the weekend was that we found we could remove all but two days worth of weather data, and all of the soil data we worked so hard to dig up, and still hit 95% accuracy. Which … doesn’t make a ton of sense. Perhaps the data we chose to predict trail conditions just isn’t a great empirical predictor of trail status. While these are questions too big to solve in just a single weekend, we'd love to spend more time digging into this in a future iteration.



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