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Specialty Residence for Women in Science and Engineering WISE-UP House fosters community

With hours to go before a big organic chem test, several female students are holding a powwow in their Bay State brownstone, trying to understand how carbon-containing compounds react. It’s just another night at WISE-UP House, the specialty community residence for female STEM (science, technology, engineering, and math) sophomores, juniors, and seniors that opened in September to much celebration and support.

“It’s important to have a community of other women when you’re studying in the STEM fields,” says resident assistant Iriny Ekladious (ENG’17), a second year graduate student. “It can be intimidating, and women often feel outnumbered. Having a community like this gives students confidence and empowers them to say, ‘I’m good at this and I can do this,’ despite all the hurdles.”

What are the hurdles? According to a recent National Science Foundation (NSF) report, in 2011 men earned the vast majority of bachelor’s degrees awarded in engineering, computer sciences, and physics, despite the fact that women outnumber men in undergraduate education. Since 2000, the number of bachelor’s degrees in computer sciences earned by women has declined by 10 percent, in mathematics by 5 percent, in physics by 2 percent, and in engineering by 2 percent.

Goldberg, a College of Arts & Sciences professor of physics and a College of Engineering professor of biomedical engineering, points to studies that show that “living and learning communities are supportive, and create a sense of belonging and ownership associated with a student’s academic choice. Students feel supported even though they are minorities in the classrooms and labs in which they work.”

Like WISE@Warren, the specialty house, at 163 Bay State Road, has weekly group house meetings as well as lectures and events, such as a trip to this year’s National Symposium for the Advancement of Women in STEM, held at Harvard, and a workshop to prepare students thinking about entering medical, dental, veterinary, or another health-related school. The house has a new mentoring program, where undergrad residents pair up with a grad student enrolled in the same STEM field.

WISE-UP House accommodates 21 women majoring in fields as diverse as physics, mathematics, electrical engineering, chemistry, molecular biology, and human physiology. Many current residents previously lived on WISE@Warren. Just months after opening, WISE-UP has become a popular housing option; according to David Zamojski, director of residence life and an assistant dean of students, 51 students have applied to live there next year.

“What I like about WISE-UP is that when you’re really stressed, the people in the house completely understand, and if you need to stay up late to do work, you have someone studying right alongside you,” says Felicia Estrada (CAS’16). “And sometimes you’ll just come home and see someone’s face and right off the bat say to them, ‘You had an exam today, didn’t you?’ We get it.”

Many University programs are aimed at increasing the representation and success of women in science and engineering; in fact, from 2006 to 2013 the University’s STEM retention initiative PROSTARS received $1.7 million from the NSF’s STEM Talent Expansion Program.

“Women in science face different challenges than men in science do,” says Kathryn Vessel (SAR’16). “We have a lot of obstacles and barriers to overcome, but we grow by being all together.”

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The Galveston Diet For Menopausal Women

People think that Galveston Diet is a personalized diet that focuses on eating anti-inflammatory foods and sometimes fasting to stop weight gain, which usually happens after menopause. Instead of just cutting calories, this diet focuses on food known to reduce inflammation that may change our hormones in a way that helps us lose weight.

The goal of the diet plan is to cut back on processed food, refined sugar, and artificial substances and favor whole foods. Depending on the three options, this program can cost anywhere from $59 to $199. Recipes for meal planning and other materials used for the course are included in the cost. There are some instructions regarding fasting, hormones, and inflammation, as well as menu plans and shopping lists for seven days.

Is the Galveston Diet Plan Good for Your Health?

There isn’t a single study on the Galveston Diet, but the fact is that it focuses on whole, healthy foods and limits processed food and sweets, which is seen as the basis of any healthy eating plan. Since inflammation has been shown to contribute to obesity, it is essential to cut back on processed foods with inflammatory properties and eat more healthy foods that fight inflammation, like fruits and vegetables, omega-3-rich fat fish, nuts, and seeds.

Some studies have shown that intermittent fasting can help people lose weight, but we need to study more in-depth over a long period to determine if it is safe and helpful. Intermittent fasting is also not a good idea for people who have diabetes, are taking certain medications, or have a history of eating disorders. As already said, studies haven’t found that intermittent fasting makes you lose weight more than a total calorie deficit.

One of the main differences between the Galveston and the ketogenic diets is that Galveston focuses on certain kinds of fat. Almonds, olive oil, and seeds are just a few examples of healthy fats that are included, while inflammatory foods such as red meat and butter are not.

Galveston Diet may be the best choice in general. The recognition of the diet could distinguish the health benefits of the traditional ketogenic diet for the value of quality food and macronutrient density.

Greek yogurt is the only one that is different. Since it has more protein than regular yogurt, it is the only recommended yogurt. Quinoa is the only cereal that can be taken on the diet because it is high in protein and carbs.

During the Galveston diet, you shouldn’t eat processed foods or foods that contain sugars. The diet is strict about what you can and can’t eat. The diet called “intermittent daily fasting,” in which you only eat during an 8-hour window (for example, 10 a.m. until 6.30 p.m.) Then, you only eat for the next 16 hours.

In particular, the fasting times are designed to help reduce inflammation and help you lose fat. For a one-time payment of $59, you could access a program designed by experts that address hormones, inflammation, and other health issues important to the Galveston diet.

Galveston Diet Benefits and Limitations

It has been shown that the Galveston Diet can work better for some people because they don’t have to keep track of their calories. Instead of restricting your food intake or going on diets or fad diets, this program teaches you how to live a healthy life and develop healthy eating habits that can help you succeed in the long run.

The 16:8 eating pattern can help you avoid eating after working out. But some people may be able to stop feeling hungry if they eat a lot of their meals. There is a way for vegetarians and vegans to make the Galveston Diet work for them. Rosen, an expert, says that the diet can be changed to make it better for vegans and vegetarians, but it doesn’t mean you can’t eat things from animals.

No scientific tests or studies have been done on this diet, so we still don’t know how well it reduces menopausal symptoms and inflammation or helps people lose weight (unlike the Mediterranean diet, studies have shown that it can reduce inflammation). Studies show that a lot of women who followed this diet were able to lose weight and feel better about their health.

If you’re being honest, trying this diet has no risks. Before you start an intermittent fasting program, you should talk to your doctor, especially if you have a history of eating disorders, are immune suppressed, or have diabetes.

Is Galveston Diet Worth going for?

Since intermittent fasting usually starts in the middle of the day and lasts until dinner, breakfast foods are not recommended. The most radical change from traditional weight-loss diets is the use of fats in dishes like bacon in spaghetti squash or creamy cheese in celery sticks and sour cream, as well as heavy cream in chicken and broccoli bake. Before starting this way of life, it’s a good idea to understand what intermittent fasting is and its pros and cons for women. You need not spend money on the Galveston diet to get the same results. Galveston’s diet is sticking to the importance of consuming foods that reduce inflammation, lean proteins, and plant foods that are high in fiber over processed food items and sweets.

There are macro needs in the program, but the focus isn’t on reducing calories, but instead the increased consumption of anti-inflammatory food items like brightly colored fruits and vegetables rich in antioxidants, lean proteins, fatty fish, whole grains, seeds, and nuts. Alongside aiding in weight loss, it also teaches you how to keep your hormones under control to allow you to eat healthily and work out efficiently.


Certain foods can help to keep your hormones balanced and your body functioning smoothly; however, there isn’t a secret diet for hormones that works. Galveston Diet combines a whole food diet and intermittent fasting to assist women who are overweight due to menopausal issues to lose weight. However, it needs more research because it isn’t a miraculous cure for weight gain.

Top 10 Deep Learning Projects For Engineering Students In 2023

If you are one of them wanting to start a career in deep learning, then you must read these top deep 10 learning projects

Deep learning

is a domain with diverse technologies such as tablets and computers that can learn based on programming and other data. Deep learning is emerging as a futuristic concept that can meet the requirements of people. When we take a look at the speech recognition technology and virtual assistants, they are run using

machine learning


deep learning technologies

. If you are one of them wanting to start a career in deep learning, then you must read this article as this article features current ideas for your upcoming deep learning project. Here is the list of the top 10 deep learning projects to know about in 2023.


Due to their skillful handling of a profusion of customer queries and messages without any issue, Chatbots play a significant role for industries. They are designed to lessen the customer service workload by automating the hefty part of the process. Nonetheless, chatbots execute this by utilizing their promising methods supported by technologies like machine learning, artificial intelligence, and deep learning. Therefore, creating a chatbot for your final deep learning project will be a great idea.

Forest Fire Prediction

Creating a forest fire prediction system is one of the best deep learning projects and it will be another considerable utilization of the abilities provided by deep learning. Forest fire is an uncontrolled fire in a forest causing a hefty amount of damage to not only nature but the animal habitat, and human property as well. To control the chaotic nature of forest fires and even predict them, you can create a deep learning project utilizing k-means massing to comprehend major fire hotspots and their intensity.

Digit Recognition System

This project involves developing a digit recognition system that can classify digits based on the set tenets. The project aims to create a recognition system that can classify digits ranging from 0 to 9 using a combination of shallow network and deep neural network and by implementing logistic regression. Softmax Regression or Multinomial Logistic Regression is the ideal choice for this project. Since this technique is a generalization of logistic regression, it is apt for multi-class classification, assuming that all the classes are mutually exclusive.

Image Caption Generator Project in Python

This is one of the most interesting deep learning projects. It is easy for humans to describe what is in an image but for computers, an image is just a bunch of numbers that represent the color value of each pixel. This project utilizes deep learning methods where you implement a convolutional neural network (CNN) with a Recurrent Neural Network (LSTM) to build the image caption generator.

Traffic Signs Recognition

Traffic signs and rules are crucial that every driver must obey to prevent accidents. To follow the rule, one must first understand what the traffic sign looks like. In the Traffic signs recognition project, you will learn how a program can identify the type of traffic sign by taking an image as input. For a final-year engineering student, it is one of the best deep learning projects to try.

Credit Card Fraud Detection

With the increase in online transactions, credit card frauds have also increased. Banks are trying to handle this issue using deep learning techniques. In this deep learning project, you can use python to create a classification problem to detect credit card fraud by analyzing the previously available data. 

Customer Segmentation

This is one of the most popular deep learning projects every student should try. Before running any campaign companies create different groups of customers. Customer segmentation is a popular application of unsupervised learning. Using clustering, companies identify segments of customers to target the potential user base.

Movie Recommendation System

In this deep learning project, you have to utilize R to perform a movie recommendation through technologies like Machine Learning and

Artificial Intelligence

. A recommendation system sends out suggestions to users through a filtering process based on other users’ preferences and browsing history. If A and B like Home Alone and B likes Mean Girls, it can be suggested to A – they might like it too. This keeps customers engaged with the platform.

Visual tracking system

A visual tracking system is designed to track and locate moving object(s) in a given time frame via a camera. It is a handy tool that has numerous applications such as security and surveillance, medical imaging, augmented reality, traffic control, video editing and communication, and human-computer interaction.

Drowsiness detection system

Python Generators And Iterators In 2 Minutes For Data Science Beginners

This article was published as a part of the Data Science Blogathon


We are continuing our Python: Understanding in 2 minutes series where we cover the medium-level topics that are also frequently asked in Python and Data Science interviews. Last time, we talked about an important topic called *args and **kwargs in 2 minutes. This series is dedicated to aspiring data scientists who want to take the “next step” in Python after learning the basics. Today, we’ll continue our discussion with yet another important topic called Generator and Iterator.

Iterators in Python

The dictionary meaning of “iterate” is to “perform a task repeatedly”.

In computer programming, Wikipedia defines iterators as:

An iterator is an object that enables a programmer to traverse a container, particularly lists.

So, we get the idea that iterators have got to do something with traversing the elements.

Now, what does it mean when something is iterable? It simply means that the items can be looped over. The list is an example of an iterable because we can loop the elements.

Image source: Github user Ethen8181

Let’s try a very simple example by considering this logic. We will first create a list and will try to implement Python’s built-in iter() method to our list.

my_list = [1,2,3,5,8,13] # converting to a list_iterator with iter() final_list = iter(my_list) final_list

The output would look something like this:

Let’s try to implement the next() function to our final_list.




This is the first item on our list.

Again, try doing the same thing:




This is the second item on our list.

One more time:




This is the third item on our list.

So, basically, we get the idea that the iter() method makes converts an iterable item (such as a list) to an iterator.

To summarize:

An iterable is an object that can be converted into an iterator (just the way we converted a list into a list_iterator).

An iterator is an object that has a next() method.

I assume we don’t have any confusion with iterable and iterator now.


Image Source: Morioh

Wikipedia defines Generators as:

One way of implementing iterators is to use a restricted form of coroutine, known as a generator. By contrast with a subroutine, a generator coroutine can yield values to its caller multiple times, instead of returning just once.

We shift our focus to Generators now. Python generators are a simple way of creating iterators. It is a function that returns an object (iterator) which we can iterate over (one value at a time). Let’s see a simple example without a generator and then try to implement a generator to the same operation. We would like to create a function that squares up all the elements in the list. Let’s see how we perform this operation normally.

def square(my_list): result = [] for i in my_list: result.append(i**2) return result

And now, let’s pass a list and see the result.

final = square([1,2,3,4,5]) final


[1, 4, 9, 16, 25]

The process was pretty straightforward. We implemented a function where we initialized a new empty list called “result”. Then, we looped through “my_list” that we wanted to pass and we appended the squared result to our previously empty “result” list one by one. Pretty straightforward, right? And on top of that, it’s calculating everything at once. This means, it’s consuming more memory, and performance-wise, this process may be inefficient.

What if we try out the same thing with a generator?

def square(my_list): for i in my_list: yield i**2

And let’s pass a list:

final = square([1,2,3,4,5]) final


Notice, it created a generator object, and therefore, we can implement a next() function to our final variable. Let’s try:




Let’s do it again!




One more time:




What did we do differently here? In our second example, we created a function like the previous. Then, instead of initializing an empty list, we directly looped through our list to be passed on. In each loop, we yield the corresponding square value and that was it! Finally, we created a “final” variable to pass our intended list. This is our generator. Upon applying the next() method, we obtained the squared values every time. This means, not every result was calculated at once. This is called lazy evaluation in Python. In short, a lazy evaluation is a process in which an object is evaluated when it is needed, not when it is created.

What is “yield” doing?

Yield simply produces a sequence of values. We generally use yield when we want to iterate over a sequence, but the idea is that the yield method doesn’t store the entire sequence in memory but executes only when they are told. Note that you can have multiple yield statements inside a function but you cannot have multiple returns.

Closing up, Generators do not store all the values in memory. They yield one result at a time. They are best for calculating large result sets where you don’t want to allocate the memory for all results at the same time.

In the end

The concepts of iterators, iterable, yield, and generators are mostly intermediate-level stuff that beginners often aren’t familiar with. Also, from my professional experience, these topics are frequently asked in the interview process as well. Understanding these concepts demands practice.

About the Author:

Hi there! My name is Akash and I’ve been working as a Python developer for over 4 years now. In the course of my career, I began as a Junior Python Developer at Nepal’s biggest Job portal site, Merojob. Later, I was involved in Data Science and research at Nepal’s first ride-sharing company, Tootle. Currently, I’ve been actively involved in Data Science as well as Web Development with Django.

You can find my other projects on:

Connect me on LinkedIn

End Notes:

Thanks for reading!

Previous blog posts in this series:

**args and **kwargs in 2 minutes

I am also planning to start The Data Science Blog on my Github page. I will try to include how real companies have been working in the field of Data Science, how to excel in Data Science and/or tech interviews, and other useful content related to Python and general programming. Feel free to check them once in a while.

The media shown in this article are not owned by Analytics Vidhya and are used at the Author’s discretion.


When Space Probes Crash–For Science And Otherwise

NASA’s MESSENGER spacecraft has been enjoying the past four years zipping around the planet Mercury. Launched in 2004, the probe traveled for six and a half years to reach the closest rock to the Sun, inserting itself into orbit around the planet in March 2011. During its time in rotation, the probe has collected valuable data about this little world, including information that indicates ice and other crazy materials in the planet’s polar regions.

“For the first time in history we now have real knowledge about the planet Mercury that shows it to be a fascinating world as part of our diverse solar system,” said John Grunsfeld, associate administrator for the Science Mission Directorate at NASA Headquarters in Washington.

But the time has come for NASA to kill its MESSENGER. The probe was originally supposed to orbit Mercury for a year, but the space agency extended its mission twice after figuring out ways to save fuel early on. Now, the vehicle is about to run out of propellant for good, meaning it cannot sustain its orbit any longer.

Rather than go quietly into the night, the space probe has a much more impactful ending to look forward to. Last week, NASA conducted a series of orbit correction maneuvers for MESSENGER. The idea was to keep the spacecraft in orbit as long as possible, but now that those are finished, the probe won’t be able to fight the Sun’s gravity, which is constantly dragging it down. On April 30, MESSENGER will slam into Mercury’s surface at more than 8,750 miles per hour, effectively ending its mission and all further communication with the probe for good.

This isn’t the first time a spacecraft has been sent on a violent collision course with a space rock. In the vast cosmos, objects move rather quickly, and sometimes it takes a deep impact in order to collect vital data about our solar system. And sometimes, what was meant to be a soft landing doesn’t go according to plan.

Check out a few of spacecraft’s greatest hits below:

Lunar Crater Observation and Sensing Satellite (LCROSS)

Back in 2009, NASA was curious if water might be lurking underneath the Moon’s surface. To put their speculations to rest, NASA researchers sent the Centaur booster rocket to “dive bomb” a lunar crater called Cabeus A, a formation many thought to be harboring water ice. Centaur slammed into the crater at 5,600 miles per hour, sending debris plumes into the air above the lunar surface. A second Shepherding Spacecraft flew through these clouds to analyze their composition. And as predicted, evidence of water was indeed found.

Deep Impact

No, this has nothing to do with the sappy doomsday film starring Téa Leoni and Robert Duvall. But NASA’s Deep Impact mission does involve a fateful collision with a comet. In January 2005, the space agency launched the Deep Impact spacecraft, which traveled for the next seven months to its ultimate destination: Comet Tempel 1. Once it met up with Tempel 1, the spacecraft released an impactor out into space, which positioned itself so that the comet would run right into it. Up until three seconds before the collision, the impactor sent back a number of close-up images of Tempel 1, showing large craters on the comet’s surface. Further analysis of the impact revealed a ton of interesting facts about the rock’s inner structure.

Venera 3

In the 1960s, back when the space race was in full swing, the Soviet Union undertook the challenging task of sending a space probe to the surface of Venus. Dubbed Venera–the Russian word for Venus–the missions consisted of sending numerous spacecraft to the tempestuous planet. Venera 1 and 2 both flew by Venus without entering orbit, but Venera 3 was made with the intention of landing on the planet’s surface to collect data. However, communication was lost just as Venera 3 reached Venus’ atmosphere. The probe impacted the surface shortly thereafter, making it the first spacecraft to land on another world—though no communication from Venera 3 was ever received again.


After traveling to space and back, it can be hard to stick the landing. Genesis was a sample return mission conducted by NASA from 2001 to 2004. The goal: Capture and return particles of solar wind for study. The space agency sent the Genesis probe to a point in space just under 1 million miles out from Earth—an area free from our atmosphere and magnetic field. After snagging samples of solar wind in its many collectors, Genesis made the long trip back to our planet. But during its descent to the Earth’s surface, the spacecraft’s drogue parachute failed to deploy, causing the vehicle to crash in the Utah desert. Fortunately, researchers were able to salvage some of the samples.

Philae Lander

Honorable mention goes to the ESA’s Rosetta spacecraft, which made headlines last year for being the first manmade vehicle to land on a comet. Except the “landing” didn’t go as smooth as the agency had wanted. On November 12, 2014, Rosetta released its Philae lander, which traveled down to the surface of comet 67P/Churyumov-Gerasimenko. Philae was equipped with harpoons, meant to shoot out and anchor the lander to the comet’s surface. However, the harpoons failed to deploy, and mission specialists admitted it’s possible Philae bounced off the comet before touching down for good. “Maybe today we didn’t just land once, we landed twice,” landing manager Stephan Ulamec joked at a press conference.

5 Science Toys For Dogs (And Their Nerdy Owners)

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To give your furchild the science, technology, engineering, and mathematics education that it deserves, peruse five nerdy dog toys we’re excited about in this gallery.

Fetchtastic Automatic Fetch Machine

Lesson: Classical Mechanics Dogs love playing fetch, but the game comes with two major problems. First, the ball rapidly develops a slimy coating of dirt and slobber. Second, few dogs understand complex physics. Dogs new to the game wildly chase after a rolling, hopping, chaotically bouncing ball, only to crash into fellow mutts at the dog park and crush the high expectations of their owners. We live in a post-Newtonian world, so accelerate your dog’s physics education with this automated ball launcher, called the Fetchtastic. The machine sends balls on perfect, arc-like trajectories every seven seconds. This allows dogs to analyze a near-ideal flying-ball system, helping them infer the paths of less-than-ideal flying balls (at least one can hope). The best part: Your dog will quickly learn to reload the launcher itself. Hello, slobber-free hands. $164.95, chúng tôi

Kong Genius Toys

Lesson: Mathematical Manifolds Smart dogs tend to be the most interested in things you do not want them to touch. Lots of exercise every day can wear them down, but they bore easily and may try to learn, for example, what exists inside your couch cushions or underneath your carpet. No one needs these investigations, so occupy their minds with Kong Genius and other tough-to-solve puzzle toys. Pop a treat in either the Mike or Leo models to help your dog appreciate the nuances of mathematically beautiful shapes — and the frustratingly complex openings the treats must pop out of. If your dog is on tenure track in solving puzzle toys, grab both the Mike and the Leo, then connect them together. Another good puzzle option, with three different shapes that fit together, is the Busy Buddy Linkables set. $11 small/$16 large/$21 extra-large, Kong Genius (Leo or Mike) $33 value pack, Busy Buddy Linkables

GoGoDogPal Remote Controlled Dog Toy

Lesson: Robotics Whirring, remote-controlled vehicles either terrify your dog or send it into a playful, sanguinary rage against the device (mine falls into the former). Sure, it’s fun to grab a controller, sit back, and cause four-legged mayhem. But sharp metal and silicon plates in an excited dog’s mouth is a recipe for busted gear and hefty vet bills. If your dog is a furious appreciator of mechanical objects, and you have the liquid income to spare, get a GoGoDogPal remote-controlled dog toy. The device is a high-speed armored shell that comes in cat, groundhog, or racoon. This is blatant people marketing, as dogs could care less what’s painted on the shell — their desire is to disassemble the toy and learn about its inner robotic workings. But at least the design will give curious onlookers a laugh. $299.99, GoGoDogPal

Dog Miracle Puzzle

Lesson: Neuroscience A brain typically makes up 1/40th of our body weight. Depending on the breed, dog brains make up 1/125th of the animal’s weight — but that doesn’t mean they’re dumb. A border collie named Chaser, for example, has learned more than 1,000 different words over the years. He can even infer new ones with a little help, so take a chance on your own pooch and challenge it to a game of memory. Some of the best dog memory puzzles come from the shop of a Swedish designer named Nina Ottosson. Thy’re are simple enough for a dog to get while challenging your pet to rely mostly on memory, instead of smell, to discover tasty treats. With a little practice on one of these toys, Fido will be playing Simon Says in no time. €25.00, Nina Ottonsson

Hot Doll

Lesson: Sexual Anatomy I’ve seen my dog’s head mounted too many times for her own good, or mine. Guy dogs at the park can’t seem to find the correct, reproductive half of my dog before their owners run over to break off the fling. Enter the Hot Doll. It looks like a cutesy, dog-shaped back massager — until you find photos on the Internet of dogs mounting it, and you learn it has a silicone insert that simulates a lady dog’s special parts. In short, it’s a sex toy for dogs. Humping happens most often with unneutered and even unspayed dogs, but some fixed dogs still do it out of excitement, anxiety, or boredom. This toy doesn’t seem like a good solution to those problems — you’ll need to develop and stick to a behavior adjustment routine — but the Hot Doll’s makers seem to think otherwise: “Dogs have sexual needs … which push them to climb on various object such as cushions, teddy bear, and worst case on legs of you neighbors, guest, postman or your own.” Whatever the cause of humping, at least this toy can help promiscuous male dogs locate the reproductive half of a female dog. €159.00, Hot Doll

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