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Do Jello Shots Lead to Bingeing by Underage Drinkers? Alcohol-infused gelatin tied to heavy drinking

About one in five underage youths reported consuming alcoholic Jell-O shots in the past 30 days, and those youths were more likely to binge drink, consume more alcohol, and to have been involved in physical fights related to their drinking than their peers who did not consume Jell-O shots, a study led by a Boston University School of Public Health (SPH) researcher shows.

In the study, published in the Journal of Child and Adolescent Substance Abuse, Michael Siegel, SPH professor of community health sciences, and colleagues from Johns Hopkins University and Fiorente Media Inc. of Boston used a national sample of 1,031 youths, ages 13 to 20, to assess past 30-day consumption of Jell-O shots.

Jell-O shots are alcohol-infused gelatin that can be made at home or sold in bars. Siegel and colleagues say they may contribute to the initiation of alcohol use among novice drinkers “through use of a recognizable, widely available, appealing product such as Jell-O as a channel for alcohol consumption.”

This is the first study that sought to gauge the extent of Jell-O shot consumption among underage youths.

The study found the prevalence of past-month Jell-O shot consumption among the underage drinkers sampled was 20.4 percent—slightly higher for females than males. There were no significant differences by age, race, or region—but there was a trend of increasing Jell-O shot use with lower levels of household income, as well as a higher prevalence among those without internet access, according to the findings.

Jell-O shot users were “significantly more likely to drink heavily” than those who did not consume the shots, consuming alcohol 2.2 days more per week, on average, than non-users, the study found. The average number of alcoholic beverages consumed per month for Jell-O shot users was also significantly higher, at 30.9 drinks per month, compared to an average of 18.8 drinks per month for non-users.

The study found that Jell-O shot consumption was also associated with an increase in engaging in physical fighting when drinking. A total of 18.7 percent of Jell-O shot users reported getting into a physical fight after consuming alcohol, compared to 9.5 percent of non-users.

The most common types of alcohol reported as being used in Jell-O shots were bourbon and vodka. Although the survey did not specifically ask what brand of alcohol was used in the shots, the most common bourbon brand consumed among youths who reported using bourbon in their shots was Jack Daniels, and the most common vodka brands reported were Smirnoff and Absolut.

The authors say their findings have several important public health implications—namely, that national agencies and organizations should consider adding Jell-O shot consumption to their youth alcohol use surveillance systems.

He and his co-authors recommend further research to clarify the causal relationship between Jell-O shot consumption and risky patterns of drinking, and to explore which popular brands are used most in preparing the shots.

The study was funded by a grant from the National Institute on Alcohol Abuse and Alcoholism. Besides Siegel, co-authors are Ashley Galloway, a recent SPH grad; Craig S. Ross of Fiorente Media Inc.; and Jane Binakonsky and David H. Jernigan of the Johns Hopkins Bloomberg School of Public Health.

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Smart Eq Fortwo, Forfour Lead Mercedes

smart EQ fortwo, forfour lead Mercedes-Benz’s electric dreams

Electric is the future. smart CEO Annette Winkler already said so last time we talked with her about the smart vision EQ fortwo concept EV. Now Mercedes-Benz is echoing that slogan as well. At the Geneva Motor Show, smart and Mercedes-Benz showed off the power their combined passion for pushing the electric campaign forward. The result is the smart EQ fortwo and forfour. For those in the US, these are the familiar all-electric cars that have been silently rolling in cities. For Europe and for the future, these two are the heralds of Mercedes-Benz’s dreams of an all-electric world.

It’s impossible to talk about the smart EQ fortwo and forfour without talking about Mercedes-Benz’s EQ. After all, these are the very same cars under the hood. It’s much more than just rebranding for Europe, however. It’s about leading the way towards that electric future.

EQ is Mercedes-Benz’s blanket brand for all things electric. It stands for, not emotional intelligence, or not just emotional intelligence, but electric intelligence. It embraces connectivity, autonomous driving, shared mobility, and electric mobility. It has been realized in the EQ Boost 48-volt system that drives powers and drives its Integrated Starter Generator found in its hybrids. It has been seen in its EQ Power+ Formula 1 combustion engine, which, in turn, will be behind AMG’s Project ONE supercar. And it drives Mercedes-Benz’s mission to have 10 all-electric cars, across all its segments, by 2023.

Of course, this isn’t anything new for smart. The company, which paints itself a pioneer in adopting new and bold technologies, already committed itself to an all-electric future since last year. Now it is bringing that spirit and zeal to the rest of Mercedes-Benz’s portfolio.

But smart’s electric ambitions have never just been about electric cars, and neither is EQ. It is also about the ecosystem that supports and promotes an electric lifestyle. Along with the debut of the smart EQ EVs comes the smart EQ control app. It’s more than just an app for your car. It’s a personalized app for your car. The app, for example, shows your smart or smart EQ electric car against the backdrop of the city you’re currently in. A personal touch so to speak. The app Connects you to your car’s status, lets you Control it from afar, and prepares for Comfort even before you step inside.

An electric car, however, lives and dies by its charge. Considering the smart EQ cars are meant more for city travel, range might not be much of a problem. Charging times, just like for smartphones, always are. That is why Mercedes-Benz is launching a new 22 kW quick charger that can power up the car from 10% to 80% in under 40 minutes. The bad news, that charger isn’t coming to the US because of the current complexity of energy supply in the country. Fortunately, Winkler sees it as a challenge rather than a quitting point.

Last and definitely not the least, a new “ready to share” ride-sharing service will become available. This service fulfills smart’s vision of reducing car volume in cities with true, easy to use ride-sharing systems. It will be an optional package available not just for electric smart cars but even the existing combustion ones. For now, it’s reach is availability is limited to France, Germany, and Italy.

Difference Between Affiliate Marketing And Lead Generation

What is Affiliate Marketing?

Who exactly is involved in this thing called affiliate marketing?

There are three participants in affiliate marketing. These are the following −

The individual or company that provides the service or product to customers.

The consumer

The affiliate

Marketing with Influencers in Targeted Sectors

Forming a network of collaborators and allies

Recruiting customers with promotional offers like sales and coupons.

Product pages have been optimized.

Affiliate marketing offers a number of benefits, including the following −

Affiliates can make more money with less effort since they don’t have to create anything new; instead, they promote products and services that already exist.

It’s a good place to put your money because of the low charges.

As long as affiliates have an internet connection, they may do business from anywhere in the world.

Affiliate marketers can choose from a wide variety of specialty markets.

However, affiliate marketing does come with a few drawbacks, including the following −

Affiliates have no say in the methods of payment or price strategies used.

An associate can do nothing to influence a customer’s experience.

Consumers may feel shortchanged when their interactions with a brand differ dramatically from those reported by an affiliate marketer.

When it comes to accreditation and training, affiliate marketing falls short of expectations.

What is Lead Generation?

In business, this is the process of introducing a product or service to a target audience in the hopes that doing so would result in a purchase.

The most popular lead−generation strategies include email marketing, networking, holding seminars and live events, blogging, social media marketing, couponing, and website landing pages.

The following is a list of the components that make up lead generation techniques for both business−to−business and business−to−consumer settings −

Lead capture − Lead qualification involves collecting data on a potential customer, such as the person’s name, contact information, firm name, and other relevant details.

Lead qualification − This involves analyzing the collected data to determine how likely it is that a certain lead will make a purchase.

The following are some of the ways that lead generation helps brands −

Increase people’s familiarity with the offering by spreading the word.

Create a loyal following of customers.

It’s possible to increase profits by zeroing in on the best possible clientele.

The data you can get about potential consumers is priceless.

Makes certain businesses are reaching the right people with their offerings.

Provides a higher rate of return on investment

A considerable amount of change is occurring every year.

It can be contracted out to a third party.

On the other hand, some of the drawbacks are as follows −

It’s a major disruption to the productivity of the sales team and might lead the company to seek outside help.

An interested party may decide to wait before making a purchase.

Differences: Affiliate Marketing and Lead Generation

Both are essential components of successful digital marketing. The following table highlights the important differences between Affiliate marketing and Lead generation −

Characteristics Affiliate Marketing Lead Generation

Definition In affiliate marketing, an affiliate receives a commission from a company’s sales in exchange for promoting the company’s products and services. The specifics of this proportion are up to negotiation between the parties involved. Lead generation is the procedure through which a company attracts potential clients and attempts to close a deal with them.

Payment The potential earnings of a lead generator are determined by the terms of their contract with the hiring organization.

Focus Lead generation is the process of accumulating information on potential customers who have shown an interest in a company’s services or products.

Aim Affiliate marketing’s ultimate objective is to increase sales of a certain service or product. A major goal of lead generation is to attract potential customers, with the longer−term goal of developing connections that can lead to a successful sale.


Hive Queries: Order By, Group By, Distribute By, Cluster By Examples

Hive provides SQL type querying language for the ETL purpose on top of Hadoop file system.

Hive Query language (HiveQL) provides SQL type environment in Hive to work with tables, databases, queries.

We can have a different type of Clauses associated with Hive to perform different type data manipulations and querying. For better connectivity with different nodes outside the environment. HIVE provide JDBC connectivity as well.

Hive queries provides the following features:

Data modeling such as Creation of databases, tables, etc.

ETL functionalities such as Extraction, Transformation, and Loading data into tables

Joins to merge different data tables

User specific custom scripts for ease of code

Faster querying tool on top of Hadoop

In this article, you will learn-

Creating Table in Hive

Before initiating with our main topic for this tutorial, first we will create a table to use it as references for the following tutorial.

Here in this tutorial, we are going to create table “employees_guru” with 6 columns.

From the above screen shot,

We are creating table “employees_guru” with 6 column values such as Id, Name, Age, Address, Salary, Department, which belongs to the employees present in organization “guru.”

Here in this step we are loading data into employees_guru table. The data that we are going to load will be placed under chúng tôi file

Order by query:

The ORDER BY syntax in HiveQL is similar to the syntax of ORDER BY in SQL language.

Order by is the clause we use with “SELECT” statement in Hive queries, which helps sort data. Order by clause use columns on Hive tables for sorting particular column values mentioned with Order by. For whatever the column name we are defining the order by clause the query will selects and display results by ascending or descending order the particular column values.

If the mentioned order by field is a string, then it will display the result in lexicographical order. At the back end, it has to be passed on to a single reducer.

From the Above screen shot, we can observe the following

It is the query that performing on the “employees_guru” table with the ORDER BY clause with Department as defined ORDER BY column name.”Department” is String so it will display results based on lexicographical order.

This is actual output for the query. If we observe it properly, we can see that it get results displayed based on Department column such as ADMIN, Finance and so on in orderQuery to be perform.

Query :

SELECT * FROM employees_guru ORDER BY Department; Group by query:

Group by clause use columns on Hive tables for grouping particular column values mentioned with the group by. For whatever the column name we are defining a “groupby” clause the query will selects and display results by grouping the particular column values.

For example, in the below screen shot it’s going to display the total count of employees present in each department. Here we have “Department” as Group by value.

From the above screenshot, we will observe the following

It is the query that is performed on the “employees_guru” table with the GROUP BY clause with Department as defined GROUP BY column name.

The output showing here is the department name, and the employees count in different departments. Here all the employees belong to the specific department is grouped by and displayed in the results. So the result is department name with the total number of employees present in each department.


SELECT Department, count(*) FROM employees_guru GROUP BY Department; Sort by:

Sort by clause performs on column names of Hive tables to sort the output. We can mention DESC for sorting the order in descending order and mention ASC for Ascending order of the sort.

In this sort by it will sort the rows before feeding to the reducer. Always sort by depends on column types.

For instance, if column types are numeric it will sort in numeric order if the columns types are string it will sort in lexicographical order.

From the above screen shot we can observe the following:

It is the query that performing on the table “employees_guru” with the SORT BY clause with “id” as define SORT BY column name. We used keyword DESC.

So the output displayed will be in descending order of “id”.


SELECT * from employees_guru SORT BY Id DESC; Cluster By:

Cluster By used as an alternative for both Distribute BY and Sort BY clauses in Hive-QL.

Cluster BY clause used on tables present in Hive. Hive uses the columns in Cluster by to distribute the rows among reducers. Cluster BY columns will go to the multiple reducers.

It ensures sorting orders of values present in multiple reducers

For example, Cluster By clause mentioned on the Id column name of the table employees_guru table. The output when executing this query will give results to multiple reducers at the back end. But as front end it is an alternative clause for both Sort By and Distribute By.

This is actually back end process when we perform a query with sort by, group by, and cluster by in terms of Map reduce framework. So if we want to store results into multiple reducers, we go with Cluster By.

From the above screen shot we are getting the following observations:

It is the query that performs CLUSTER BY clause on Id field value. Here it’s going to get a sort on Id values.

It displays the Id and Names present in the guru_employees sort ordered by


SELECT Id, Name from employees_guru CLUSTER BY Id; Distribute By:

Distribute BY clause used on tables present in Hive. Hive uses the columns in Distribute by to distribute the rows among reducers. All Distribute BY columns will go to the same reducer.

It ensures each of N reducers gets non-overlapping ranges of column

It doesn’t sort the output of each reducer

From the above screenshot, we can observe the following

DISTRIBUTE BY Clause performing on Id of “empoloyees_guru” table

Output showing Id, Name. At back end, it will go to the same reducer


SELECT Id, Name from employees_guru DISTRIBUTE BY Id;

How To Build A Free Facebook Messenger Chatbot For Lead Generation

All signs point to chatbots as a win for marketing and customer service.

Stats say that consumers like using chatbots:

95 percent of consumers think chatbots benefit customer service.

57 percent of consumers like the instant service of chatbots.

47 percent of consumers would buy something using a chatbot.

That’s why 80 percent of businesses plan to have a chatbot by 2023.

Chatbots are a cost-efficient way to scale lead gen and marketing automations.

So are you ready to build your own chatbot yet?

Facebook Messenger chatbots can help your business by:

Acting as a highly engaging top-funnel marketing channel.

Blasting content (like an email blast but in chat).

Doing quick surveys.

Doing webinar signups.

Collecting new lead info (like lead forms in chat).

Supporting sales through integrated customer relationship management.

Sending event and appointment reminders.

Simplifying customer service.

Giving directions.

Scheduling appointments.

Automating on-site chat.

Answering common questions.

Routing users to an agent.

And a lot more.

Great! But do you need a developer to code your chatbot?

Thankfully, nope! It’s totally under a marketer’s control.

It’s easy to build a chatbot with a visual chatbot editor.

I’ll show you how to build your first bot in five minutes.

See the bot we’ll build together here.

This Facebook Messenger chatbot is an interactive game you can play in Messenger.

It shows how images and GIFs look, how buttons work, and I’ll show you how it saves user preferences to customer profiles to enable follow-up messaging.

Your own chatbots won’t be games – although they could be!

Your chatbots will likely be for lead gen and lead qualification using forms and questions that save user data to customer profiles and allow for follow-up messaging.

I created this example game chatbot using this free chatbot builder in five minutes. (Full disclosure: I work for MobileMonkey.)

Here’s how to build a chatbot in four steps:

Use the chatbot builder to create pages.

Add content to pages with widgets.

Add keyword triggers that will deliver pages to users.

Test it out.

Step 1: Use the Chatbot Builder

We created a “Monkey or Unicorn Game” group to house all the pages of this chatbot.

The group is a folder that holds all the messages for a chatbot topic, and the messages within are contained in pages.

Each page represents a message the chatbot will deliver. We named our first page “Game Intro”:

Step 2: Add Content to the Page with Widgets

Now for the fun part: adding widgets to each page.

You can include just about any kind of content on the page, including images, native video, image galleries, email notifications, questions, forms, image galleries, attachments, and GIFs:

We’re going to use my favorite widget because it’s easy for the user to interact with and it saves an attribute to their customer profile: Quick Question.

Here’s the first question: “Wanna play Monkey or Unicorn? Pick a door, any door… 🔑”

The Quick Question widget shows up in Messenger chat with answers that are interactive buttons. You can do this with the Form widget as well.

Quick Question and Form widgets automatically set an attribute to the user’s customer profile.

Here, everyone who answers gets a value for the attribute “gamebot” saved to their profile.

This has awesome use cases for creating real-life audiences for follow-up marketing like:

Audience segment based on product or service of interest.

Audience segment based on budget.

Audience segment based on offer or download.

Audience segment based on survey responses.

Audience segment of blog subscriber opt-ins.

Quick sidebar on the benefits of buttons in Messenger marketing —

Response buttons for the user are ideal because buttons:

Can link to both website pages and chat pages

Have practically zero conversion friction

And are user-friendly, especially on a mobile device.

With the Quick Question in place, we set up multiple choice answers. We made each answer a door, which will lead you to either a unicorn or a monkey.

Each door is connected to a page that contains of GIF widget revealing monkey and unicorn GIFs.

Adding a GIF to a page is super simple — just start typing what you’re looking for and you’ll get options from chúng tôi Choose your GIF and add it to your page:

Because our game can be played again and again, we added a “Play Again” button that connects back to the Game Intro page.

A drop-down selector lets you pick the associated page for any multiple choice button:

With that, your chatbot is in ready to go.

Next, we can add triggers that allow users to find the chatbot.

Step 3: Add Keyword Triggers to Serve the Bot

Triggers are Q&A pairs.

If a user asks “what are the directions”, then you can set up a keyword trigger on “directions” so your chatbot answers with a map of your location.

We recommend setting up triggers for a business’s FAQs, like “hours,” “appointment,” or “pricing.”

For our game, we set a trigger for the word “game” to bring up the Monkey vs. Unicorn Game:

You manage all your triggers in the Q&A section of MobileMonkey:

In here you can see frequently asked questions without assigned responses — in other words, opportunities to answer those questions.

Here are practical chatbot triggers everyone should probably have:

“Hello,” “hi” and “hey” triggers a “how can I help you” menu chatbot.

B2C businesses can set triggers for popular products and service categories, linked to gallery showcases.

B2B businesses will want “appointment,” “schedule” and “demo” linked to a calendar integration.

“Human” and “help” triggers a message to customer service to contact the user.

“Stop” and “unsubscribe” are system triggers; they’ll automatically launch the unsubscribe dialog if someone types them to the bot.

Step 4: Test Drive the Chatbot

Test the chatbot by interacting with it in Facebook Messenger, just to make sure everything is flowing and working properly.

You can either trigger the bot by typing your keyword into Messenger or use the “Send to me button” in the chatbot builder:

And with the working bot tested, we’re done!

Just be sure to follow Facebook Messenger marketing best practices for any chatbot you build.

Build Your First Chatbot

There are so many creative ways to interact with your audience via a chatbot.

From setting up test drives, booking makeovers, getting webinar sign-ups, sending daily inspirational quotes and answering FAQs, and ways chatbots can help you are endless.

More Facebook Messenger Marketing Resources:

Image Credits

All screenshots taken by author, July 2023

Mysql Query To Order By Null Values

   StudentId int NOT NULL AUTO_INCREMENT PRIMARY KEY,    StudentFirstName varchar(100),    StudentMarks int ); Query OK, 1 row affected (0.16 sec) Query OK, 1 row affected (0.15 sec) Query OK, 1 row affected (0.19 sec) Query OK, 1 row affected (0.19 sec) Query OK, 1 row affected (0.18 sec) Query OK, 1 row affected (0.13 sec) | StudentId | StudentFirstName | StudentMarks | | 1         | John             | 45 | | 2         | NULL           | 65 | | 3         | Chris | 78 | | 4         | NULL | 89 | | 5         | Robert | 99 | | 6         | NULL | 34 | | 7         | Mike | 43 | | StudentId | StudentFirstName | StudentMarks | | 5 | Robert | 99 | | 7 | Mike | 43 | | 1 | John | 45 | | 3 | Chris | 78 | | 2 | NULL | 65 | | 4 | NULL | 89 | | 6 | NULL | 34 | 7 rows in set (0.00 sec)

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