Trending December 2023 # 5 Cool Xiaomi Gadgets For Cars You Should Know About # Suggested January 2024 # Top 21 Popular

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It’s no secret that Xiaomi makes a lot of cool gadgets, and while you might have seen a lot of our videos on cool Xiaomi gadgets, the company also makes some stuff that’s meant for car users. Well, we got a lot of these gadgets from China, and I’ve used them quite a bit in the last couple of weeks, and honestly, I’ve started loving them. So here are 5 of my favorite car gadgets from Xiaomi.

1. Xiaomi Wireless Charger

This is a gadget I personally fell in love with almost as soon as I started using it. The Xiaomi Wireless Charger nails everything there is to consider about a wireless car charger. The design is great, the build is top-notch, it uses USB Type-C, it supports 20W fast wireless charging, and it has sensors built in to automatically open and close the clamps when your phone is near the charger, or when you’re trying to take the phone out of the charger.

I’m not coming at this from no experience either, I’ve used quite a few car chargers over the last few years, but this one is good at everything I need a car charger to do for me. In fact, I liked this so much I wrote an individual article just about this charger, and I’d suggest you go read that to get a more detailed look at the charger.

2. Cleanfly Vacuum Cleaner

If you’re anything like me, chances are you snack in your car, which is all good but it does end up making a mess inside the car. Add to that all the dirt and mud you track into your car with your shoes everyday, and it’s just sad. That’s where having a vacuum cleaner can come in really handy, and you guessed it, Xiaomi makes that as well.

The Cleanfly vacuum cleaner might have a weird name, but the vacuum cleaner itself is really good. For one, it’s designed exceptionally well. It’s clean, it’s minimal, and it’s matte grey — all things that I really like. It’s also very well balanced when in use. The vacuum cleaner has a centre of gravity that’s closer to the handle, which makes it easier to use the vacuum cleaner without tiring out your hands. In fact, this might be the most comfortable and versatile car vacuum cleaners I’ve used, and yes, I’m including the Dyson V11 Absolute Pro I reviewed a while back. To be fair though, this isn’t nearly as powerful as the Dyson, but it’s a fraction of the price as well.

Buy the Cleanfly Vacuum Cleaner from ShareSave (₹3,766)

3. Xiaomi 150PSI Tyre Inflator

This is a gadget that was a mystery to almost every one at the Beebom office when we first got this shipped. It looks great, so naturally every one kept looking at it and guessing what it could be. Personally, I thought it could’ve been a smart speaker because of the speaker-like grilles on the sides, or maybe a walkie-talkie (Xiaomi does make those, by the way). However, this is just a really cool looking tyre inflator.

As the name suggests, it can go up to 150PSI if you need that, but you probably won’t need that. The inflator can be charged and with one full charge, Xiaomi claims it can fill 5 car tyres. However, in my testing, I found it to be filling around 2 to 3 tyres in a single charge, which is still really good considering its size. Along with that, the tyre inflator comes with preset values for filling air in things like bicycles, bikes, and footballs, which is great because you don’t have to worry about remembering the pressure values for all those things.

The only things I really have to complain about here are that it takes way too long to fill up a tyre, which can quickly get annoying, and the microUSB charging port it uses. I mean, seriously. Why microUSB? It makes no sense. Other than that though, this is a great tyre inflator that you should definitely consider buying.

Buy the Xiaomi 150PSI Tyre Inflator from Banggood (₹7,023)

4. Xiaomi Dual QC3.0 Car Charger

This particular product is something I started using because it solves a very particular problem for me. See, sometimes I’m driving with my friends and everyone needs to charge their phones, which means people end up arguing over who gets to plug their phone in to the car-charger.

What’s actually very impressive about this charger is the fact that it supports Quick Charge 3.0 on both the USB-A ports simultaneously, so you can fast-charge two smartphones at the same time using this charger. Pretty cool, right?

Buy the Xiaomi Dual QC3.0 Car Charger from Banggood (₹1,532)

5. Xiaomi Dashcam 1S

There’s also the Xiaomi Dashcam 1S, which honestly, is a fairly cool gadget, but there are some issues here that I just can’t get past. I’ll talk about that later.

The dashcam takes decent quality footage, and works perfectly even at night, which is great. All you need to do is put in a microSD card (which is not included in the box), connect the Dashcam 1S to a power source and that’s it, it automatically keeps recording videos.

The thing, however, is that the dashcam is all in Chinese, which means you will have to use Google Translate a lot in order to set it up properly. However, it can connect to the Mi Home app, and you can view all the recorded footage right there in your phone, and even download the footage to your phone if you want, so once you’re past the set-up stage, you don’t really need to worry about the fact that there’s no English support on this yet.

However, there are other problems here as well, big ones. First up, it also uses microUSB for power which is just stupid. But, the bigger issue is that of the wiring, because you need to somehow route the power cable all the way along the side of the car, tape it under the dashboard, and route it properly to the car-charger to power it up, or otherwise it will just dangle around and look really bad. That’s the reason I’m not willing to use this Dashcam.

If you’re not as lazy as I am, and you’re willing to put in the work to properly wire this thing, or if you don’t mind wires dangling around in your car, you can go ahead and buy this.

Buy the Mi Smart Dashcam 1S from ShareSave (₹4,122)

Note: Keep in mind that most of these products are priced way higher in India when compared to their Chinese pricing, and they also take a long time to get delivered here. When we ordered these gadgets for ourselves, it took around a month to get delivered.

Deck Up Your Car with These Cool Xiaomi Car Gadgets

Also, if you’re reading this article chances are you’ve seen our video on this same topic. If not, check it out here.

You're reading 5 Cool Xiaomi Gadgets For Cars You Should Know About

15 Cool Notepad Tricks You Should Know

One of the first things that one learns while learning to use a computer is an application called notepad. Almost everyone knows what notepad is, and despite being a simple looking and functioning application what kind of a power it actually possesses. One can literally destroy someone’s PC using a notepad, one can also solve big problems using notepad. Ok, notepad does not do all that I said on its own, but still. It is the platform where one can write the initial code that can then be compiled and stuff. So, learning a few small notepad tricks won’t really hurt our chances of showing off or maybe getting a different prospective about what notepad can really do.

1. Continually Pop Out CD Drive Using Notepad

2. Shutting Down Computer Using Notepad

3. Open Notepad Continually in Your Friend’s Computer

Just another Notepad trick to play with your friend’s system would be to set off a command which would open his/her notepad repetitively. Save it as a .vbs file and open it to see what happens.

4. Make A Personal Log-Book or A Diary

A special feature which allows us to make a log exists in notepad. Using it we can make logs of stuff as notepad will put the date and time for us whenever we open a specific type of Log file. For doing this, just type ‘.LOG’ in the notepad and save it under any name that you wish. Now whenever you’ll open this particular file, you’ll see that notepad automatically enters the date and time at which it is opened, and then you can make a log record and save the log.

5. Matrix Effect

Now we’ll discuss a Notepad trick that can turn our command prompt into something that looks like it just came out of the matrix movie, or maybe something that looks like something straight out of a hacker’s system. For doing this, all you need to do is paste the following code in notepad goto start

Assign different values to the color, and have fun.

6. Toggle Capslock Repeatedly Using Notepad

You can play with someone’s computer, or maybe your own computer by writing a script that can toggle Caps Lock repeatedly.

Just copy and Paste the code written down below into notepad.

Now save it as a .vbs file and use it to see the magic.

7. Typing Slow

This is a trick which will cause the text to be typed slowly, to try it out, just copy and paste the text below into notepad and save it as a .vbs file. WshShell.SendKeys “s! “

It does nothing but introduces a small delay between different strings it types.

8. Converting Text to Speech Using Notepad.

9. World Trade Center Attack

According to this trick, if you enter the flight number of the flight that struck the twin tower, i.e. Q33N in notepad and then change the font type to ‘wingdings’ and the font size to 72, then you’ll see a very strange thing.

It is a very cool trick, but unfortunately is a hoax as no such flight struck the twin towers.

10. Changing Header and Footer in Notepad

&p Print the page number

11. Deleting Startup Files Using Notepad


This will shut the computer down and delete files required to get your computer into a normal state.

12. Deleting System32 Files Using Notepad

Wish to take revenge from someone? Just use this code, save it as chúng tôi file, and see what it does to that person’s system. It will delete all the System32 files required for the system to work in order.

Just paste the following in notepad and save it as a .bat file.


13. Hit Enter Continuously

What if we wished to use the function of our enter button happen again and again, a better idea than to press it again and again would be to use the code below

Save it as a .vbs file and see its magic

14. Hit Backspace Continuously

Ok, we need the backspace button, but what is we wish to annoy someone and make it press itself again and again, mechanically it would require some work on our part, but if we just use this code, it would become a lot more easier. loop

Save as a .vbs file to make it work.

15. Typing Something Again and Again

save it as a .vbs file to make it work.

SEE ALSO: 15 Cool Excel Tips And Tricks

Important Note. If you get errors saying invalid characters, then try retyping the double inverted commas in the codes.

5 Things You Need To Know About So

Update 8/19/2023: At the time this post was written, the so-called “female Viagra” was recommended for approval by the FDA. On August 18, 2023, the FDA officially approved the drug.

It’s the third time this incarnation of what’s being touted in the media as female Viagra has been brought before the FDA for approval. The agency hit the brakes on flibanserin in 2010 and again in 2013, saying its modest benefits didn’t outweigh the risks. This time around, Sprout Pharmaceuticals was betting on new safety data to tip the scales in their direction. They were right.

We talked to several experts to find out more about the search for a libido drug for women—specifically, why it took so long to get one. Here’s what we learned.

“Female Viagra” Is a Misnomer

Viagra helps performance. Women want a pill for desire. Pfizer, the makers of Viagra, gave up on women way back in 2004. The little blue pill helps increase blood flow to the penis when a man is aroused. In studies, this functional approach did squat for women with low desire. (A small Pfizer-funded study did show a benefit of Viagra for women on antidepressants.) Since then, pharmaceutical companies interested in this segment have been focusing on hormones and brain chemicals that affect female desire.

The Target is Called Hypoactive Sexual Desire Disorder

HSDD is the most common female sexual dysfunction—affecting up to a fifth of women—and it’s what drug companies have been going after. “This is not a made-up condition,” says Lauren Streicher, MD, associate professor of clinical obstetrics and gynecology at Northwestern University Feinberg School of Medicine. “Women who have HSDD don’t have fantasies and they don’t desire sex. We know that there’s a hormonal component, and it’s also mediated by neurotransmitters, specifically dopamine and serotonin, and the way that they act in the frontal cortex.” The most recent edition of Diagnostic and Statistical Manual of Mental Disorders, the DSM-5, which came out in 2013, changed things around, and HSDD is no longer a standalone diagnosis. Now it’s part of a new condition, female sexual interest/arousal disorder (FSIAD). The idea is the same though: It has to be ongoing and cause distress, and it can’t be directly caused by a non-sexual mental disorder, severe relationship distress (like abuse) or other stressors or a drug or other medical condition.

Low Desire Is a Complicated Thing

There’s some debate over whether a drug can actually help restore female desire. Unsurprisingly, there are many factors at play when it comes to women and desire, including relationship issues, boredom and discomfort during sex (something that becomes increasingly common after menopause, but can often be treated). “Too often, female sexual desire gets medicalized,” says Washington, D.C.-based psychotherapist and neuropsychologist Marsha Lucas, PhD, author of Rewire Your Brain for Love. “There’s a time and place for it, just like antidepressants—but just like [with] antidepressants, it’s often not a pharmacological ‘cure’ that’s really needed.” Streicher says flibanserin helps a very specific category of woman: “The right candidate is someone that used to have a great libido, but no longer has a great libido and there’s no other explanation for it. She’s in a loving relationship and she’s stopped having sexy thoughts, and—most importantly—she’s distressed by it and she wants to do something about it.”

Flibanserin Isn’t an Antidepressant, but It Works on Neurotransmitter Receptors

Flibanserin was first developed as an antidepressant. The original manufacturer, Boehringer Ingelheim, shifted gears after noticing that women taking it in studies started having more sexual thoughts. (Boehringer Ingelheim sold flibanserin to Sprout Pharmaceuticals after the FDA’s first review.) “It’s similar to an SSRI in that it works on neurotransmitter receptors in the brain and is thought to correct an imbalance in neurotransmitters,” explains Sheryl Kingsberg, PhD, division chief of ob-gyn behavioral medicine at University Hospitals Case Medical Center in Cleveland and a consultant for Sprout. “However, while SSRIs promote serotonin release, which can dampen desire, flibanserin likely promotes dopamine release.” If approved, the drug will be marketed under the name Addyi and will come as a 100-milligram pill to be taken every night at bedtime.

The Best Libido Drug for Women Is Probably Testosterone, but Don’t Expect the FDA to Approve It Anytime Soon

Low desire is more common after menopause. Again, there are many reasons for this (symptoms of menopause such as hot flashes, sleep deprivation and a bone-dry vagina don’t exactly put you in the mood), but declining testosterone levels are believed to be an important factor. The FDA turned down Proctor & Gamble’s testosterone patch for women in 2004, the same year Pfizer gave up on female Viagra. “The FDA was concerned that if the patch was given to a large number of menopausal women, theoretically it might increase the risk of breast cancer and heart attacks,” says James Simon, professor of obstetrics and gynecology at The George Washington University School of Medicine and lead investigator for flibanserin clinical trials. Simon also worked on the testosterone patch and gel.

In 2011, BioSante’s testosterone gel failed to show a statistically significant difference in terms of the number of sexually satisfying events from placebo, something Simon and others say is a poor measure of desire in women. Will a flibanserin victory open the door for testosterone treatments for HSDD? Not necessarily, Simon says: “Even if flibanserin gets approved, I still have my doubts about testosterone because the FDA still seems to be overly concerned about the two safety endpoints that they were concerned about in 2004.”

There’s plenty of data showing that very low-dose testosterone is safe and effective for postmenopausal women. Both Streicher and Mary Jane Minkin, MD, a clinical professor of obstetrics, gynecology, and reproductive sciences at Yale School of Medicine, said that many ob-gyns prescribe low-dose testosterone off-label for postmenopausal women with good results. Unfortunately, these prescriptions are filled at compounding pharmacies, which aren’t FDA-regulated and aren’t covered by insurance. “I wish I could get testosterone for my ladies,” Minkin says.

For that, we’ll likely be waiting a while longer.

Jennifer Abbasi is a Portland, OR-based freelance writer. Follow her on Twitter at @jenabbasi.

Everything You Should Know About Data Structures In Python


Data structures in Python are a key concept to learn before we dive into the nuances of data science and model building

Learn about the different data structures Python offers, including lists, tuples and much more


A Data Structure sounds like a very straightforward topic – and yet a lot of data science and analytics newcomers have no idea what it is. When I quiz these folks about the different data structures in Python and how they work, I’m met with a blank stare. Not good!

Python is an easy programming language to learn but we need to get our basics clear first before we dive into the attractive machine learning coding bits. That’s because behind every data exploration task we perform, even analytics step we take, there is a basic element of storage and organization of the data.

And this is a no-brainer – it’s so much easier for us to extract information when we store our data efficiently. We save ourselves a ton of time thanks to our code running faster – who wouldn’t want that?

And that’s why I implore you to learn about data structures in Python.

In this article, we will explore the basic in-built data structures in Python that will come in handy when you are dealing with data in the real world. So whether you’re a data scientist or an analyst, this article is equally relevant for you.

Make sure you go through our comprehensive FREE Python course if you’re new to this awesome programming language.

Table of Contents

What are Data Structures in Python?

Data Structure #1: Lists in Python

Creating Lists

Accessing List elements

Appending values in Lists

Removing elements from Lists

Sorting Lists

Concatenating Lists

List comprehensions

Stacks & Queues using Lists

Data Structure #2: Tuples in Python

Creating Tuples in Python

Immutability of Tuples

Tuple assignment

Changing Tuples values

Data Structure #3: Dictionary in Python

Generating Dictionary

Accessing keys and values

Data Structure #4: Sets in Python

Add and Remove elements from Sets

Sets Operations

What are Data Structures?

Data structures are a way of storing and organizing data efficiently. This will allow you to easily access and perform operations on the data.

There is no one-size-fits-all kind of model when it comes to data structures. You will want to store data in different ways to cater to the need of the hour. Maybe you want to store all types of data together, or you want something for faster searching of data, or maybe something that stores only distinct data items.

Luckily, Python has a host of in-built data structures that help us to easily organize our data. Therefore, it becomes imperative to get acquainted with these first so that when we are dealing with data, we know exactly which data structure will solve our purpose effectively.

Lists in Python are the most versatile data structure. They are used to store heterogeneous data items, from integers to strings or even another list! They are also mutable, which means that their elements can be changed even after the list is created.

Creating Lists

Lists are created by enclosing elements within [square] brackets and each item is separated by a comma:

Python Code:

Since each element in a list has its own distinct position, having duplicate values in a list is not a problem:

Accessing List elements

To access elements of a list, we use Indexing. Each element in a list has an index related to it depending on its position in the list. The first element of the list has the index 0, the next element has index 1, and so on. The last element of the list has an index of one less than the length of the list.

But indexes don’t always have to be positive, they can be negative too. What do you think negative indexes indicate?

While positive indexes return elements from the start of the list, negative indexes return values from the end of the list. This saves us from the trivial calculation which we would have to otherwise perform if we wanted to return the nth element from the end of the list. So instead of trying to return List_name[len(List_name)-1] element, we can simply write List_name[-1].

Using negative indexes, we can return the nth element from the end of the list easily. If we wanted to return the first element from the end, or the last index, the associated index is -1. Similarly, the index for the second last element will be -2, and so on. Remember, the 0th index will still refer to the very first element in the list.

But what if we wanted to return a range of elements between two positions in the lists? This is called Slicing. All we have to do is specify the start and end index within which we want to return all the elements – List_name[start : end].

One important thing to remember here is that the element at the end index is never included. Only elements from start index till index equaling end-1 will be returned.

Appending values in Lists

We can add new elements to an existing list using the append() or insert() methods:

append() – Adds an element to the end of the list

insert() – Adds an element to a specific position in the list which needs to be specified along with the value

Removing elements from Lists

Removing elements from a list is as easy as adding them and can be done using the remove() or pop() methods:

remove() – Removes the first occurrence from the list that matches the given value

pop() – This is used when we want to remove an element at a specified index from the list. However, if we don’t provide an index value, the last element will be removed from the list

Sorting Lists

Most of the time, you will be using a list to sort elements. So it is very important to know about the sort() method. It lets you sort list elements in-place in either ascending or descending order:

But where things get a bit tricky is when you want to sort a list containing string elements. How do you compare two strings? Well, string values are sorted using ASCII values of the characters in the string. Each character in the string has an integer value associated with it. We use these values to sort the strings.

On comparing two strings, we just compare the integer values of each character from the beginning. If we encounter the same characters in both the strings, we just compare the next character until we find two differing characters. It is, of course, done internally so you don’t have to worry about it!

Concatenating Lists

We can even concatenate two or more lists by simply using the + symbol. This will return a new list containing elements from both the lists:

List comprehensions

A very interesting application of Lists is List comprehension which provides a neat way of creating new lists. These new lists are created by applying an operation on each element of an existing list. It will be easy to see their impact if we first check out how it can be done using the good old for-loops:

Now, we will see how we can concisely perform this operation using list comprehensions:

See the difference? List comprehensions are a useful asset for any data scientist because you have to write concise and readable code on a daily basis!

A list is an in-built data structure in Python. But we can use it to create user-defined data structures. Two very popular user-defined data structures built using lists are Stacks and Queues.

Stacks are a list of elements in which the addition or deletion of elements is done from the end of the list. Think of it as a stack of books. Whenever you need to add or remove a book from the stack, you do it from the top. It uses the simple concept of Last-In-First-Out.

Queues, on the other hand, are a list of elements in which the addition of elements takes place at the end of the list, but the deletion of elements takes place from the front of the list. You can think of it as a queue in the real-world. The queue becomes shorter when people from the front exit the queue. The queue becomes longer when someone new adds to the queue from the end. It uses the concept of First-In-First-Out.

Now, as a data scientist or an analyst, you might not be employing this concept every day, but knowing it will surely help you when you have to build your own algorithm!

Tuples are another very popular in-built data structure in Python. These are quite similar to Lists except for one difference – they are immutable. This means that once a tuple is generated, no value can be added, deleted, or edited.

We will explore this further, but let’s first see how you can create a Tuple in Python!

Tuples can be generated by writing values within (parentheses) and each element is separated by a comma. But even if you write a bunch of values without any parenthesis and assign them to a variable, you will still end up with a tuple! Have a look for yourself:

Ok, now that we know how to create tuples, let’s talk about immutability.

Immutability of Tuples

Anything that cannot be modified after creation is immutable in Python. Python language can be broken down into mutable and immutable objects.

Lists, dictionaries, sets (we will be exploring these in the further sections) are mutable objects, meaning they can be modified after creation. On the other hand integers, floating values, boolean values, strings, and even tuples are immutable objects. But what makes them immutable?

Everything in Python is an object. So we can use the in-built id() method which gives us the ability to check the memory location of an object. This is known as the identity of the object. Let’s create a list and determine the location of the list and its elements:

As you can see, both the list and its element have different locations in memory. Since we know lists are mutable, we can alter the value of its elements. Let’s do that and see how it affects the location values:

The location of the list did not change but that of the element did. This means that a new object was created for the element and saved in the list. This is what is meant by mutable. A mutable object is able to change its state, or contents, after creation but an immutable object is not able to do that.

But we can call tuples pseudo-immutable because even though they are immutable, they can contain mutable objects whose values can be modified!

As you can see from the example above, we were able to change the values of an immutable object, list, contained within a tuple.

Tuple assignment

Tuple packing and unpacking are some useful operations that you can perform to assign values to a tuple of elements from another tuple in a single line.

We already saw tuple packing when we made our planet tuple. Tuple unpacking is just the opposite-assigning values to variables from a tuple:

It is very useful for swapping values in a single line. Honestly, this was one of the first things that got me excited about Python, being able to do so much with such little coding!

Changing Tuple values

Although I said that tuple values cannot be changed, you can actually make changes to it by converting it to a list using list(). And when you are done making the changes, you can again convert it back to a tuple using tuple().

This change, however, is expensive as it involves making a copy of the tuple. But tuples come in handy when you don’t want others to change the content of the data structure.

Data Structure #3: Dictionary in Python

Dictionary is another Python data structure to store heterogeneous objects that are immutable but unordered. This means that when you try to access the elements, they might not be in exactly the order as the one you inserted them in.

But what sets dictionaries apart from lists is the way elements are stored in it. Elements in a dictionary are accessed via their key values instead of their index, as we did in a list. So dictionaries contain key-value pairs instead of just single elements.

Generating Dictionary

Dictionaries are generated by writing keys and values within a { curly } bracket separated by a semi-colon. And each key-value pair is separated by a comma:

Using the key of the item, we can easily extract the associated value of the item:

These keys are unique. But even if you have a dictionary with multiple items with the same key, the item value will be the one associated with the last key:

Dictionaries are very useful to access items quickly because, unlike lists and tuples, a dictionary does not have to iterate over all the items finding a value. Dictionary uses the item key to quickly find the item value. This concept is called hashing.

Accessing keys and values

You can access the keys from a dictionary using the keys() method and the values using the values() method. These we can view using a for-loop or turn them into a list using list():

We can even access these values simultaneously using the items() method which returns the respective key and value pair for each element of the dictionary.

Sometimes you don’t want multiple occurrences of the same element in your list or tuple. It is here that you can use a set data structure. Set is an unordered, but mutable, collection of elements that contains only unique values.

You will see that the values are not in the same order as they were entered in the set. This is because sets are unordered.

Add and Remove elements from a Set

To add values to a set, use the add() method. It lets you add any value except mutable objects:

To remove values from a set, you have two options to choose from:

The first is the remove() method which gives an error if the element is not present in the Set

The second is the discard() method which removes elements but gives no error when the element is not present in the Set

If the value does not exist, remove() will give an error but discard() won’t.

Set operations

Using Python Sets, you can perform operations like union, intersection and difference between two sets, just like you would in mathematics.

Union of two sets gives values from both the sets. But the values are unique. So if both the sets contain the same value, only one copy will be returned:

Intersection of two sets returns only those values that are common to both the sets:

Difference of a set from another gives only those values that are not present in the first set:

End Notes

Isn’t Python a beautiful language? It provides you with so many options to handle your data more efficiently. And learning about data structures in Python is a key aspect of your own learning journey.

This article should serve as a good introduction to the in-built data structures in Python. And if it got you interested in Python, and you are itching to know more about it in detail and how to use it in your everyday data science or analytics work, I recommend going through the following articles and courses:


6 Unusual Signs Of Dehydration You Should Know About

It is essential to keep an eye on signs of dehydration as soon as possible to provide efficient treatment and avoid a scenario that might be life-threatening. Dehydration is characterized by several common symptoms, some of which are more obvious than others. Because they require immediate treatment, the signs of mental and physical impairment caused by dehydration are extremely important to be aware of. In severe situations of dehydration, seeking medical assistance can be necessary.

1. Not Urinating or Very Dark Urine

The color of a person’s urine is a simple way to decide whether he is dehydrated. Urine from a healthy person should have the color of healthy pale-yellow that resembles apple juice but is much darker than normal.

If you are not passing any urine at all, you are certainly dangerously dehydrated. You really ought to go to the doctor as soon as possible.

If you discover that your pee is a dark yellow color, you should increase your water intake. Drink no more water than your body can process in a single gulp. This will help you avoid dehydration.

If you are concerned that you are not getting enough fluids daily, you should attempt to keep a daily track; you should always try, regardless of where you are.

2. Dry Skin

Examining the color of your urine is only one of several methods to determine whether or not you are dehydrated. There are other additional methods also. Another trait that can be used to tell a lot about a person is how soft his skin is.

Try your hand at this little test: to see what happens, squeeze the skin on the top of your hand. The reluctance to return indicates that it is somewhat moderately dehydrated. Extreme dehydration can be diagnosed by looking for signs of the skin “tenting” or sticking together.

You should drink extra water if you are mild to moderately dehydrated. It is the same thing you should do if your urine is darker. If you’ve just finished a particularly strenuous workout, a fluidand electrolyte-rich beverage like a sports drink or coconut water could be the ideal choice to rehydrate. Water is, of course, always a good option to go with.

If your skin begins to show indications of tenting due to dehydration, it is recommended that you consult a medical professional as soon as possible.

3. Rapid Heartbeat and Breathing

Your heart rate and respiratory rate will increase directly from your physical activity. However, if you continue to experience these symptoms even after you have lowered your body temperature or halted your physical activity, it may be a sign that you are severely dehydrated. When electrolyte levels fall below normal, the heart’s ability to pump blood is negatively impacted.

How to stop it − Without the proper amount of fluid in the body, your organs, most notably your heart, liver, kidneys, and lungs, cannot perform their functions properly. Because of this, if you notice any of these symptoms, you must make an appointment with a medical professional to rule out the possibility of dehydration.

Suppose a medical professional or nurse determines, after doing a comprehensive assessment on you, that you are dehydrated, you will most likely be given an intravenous line and a potent rehydration solution to administer through the line. This water contains a variety of salts and sugars, some of which include sodium chloride and potassium. These components work together to facilitate the rapid delivery of vital fluids to the parts of the body that require them the most.

4. Dizziness

Did you know that water accounts for around 75% of the mass of your brain? Consequently, enhancing cognitive function can be as easy as increasing one’s water consumption and eating naturally high-water-content foods.

On the other hand, not getting enough water might affect one’s mental function. Feeling faint, lightheaded, or dizzy are all symptoms of acute dehydration, but they are not the only symptoms that can occur.

It would be a mistake to disregard these indicators as being trivial. Rest and replenish your body’s fluids by drinking water in small sips and eating meals high in water, such as fruits and vegetables.

Cucumbers, watermelons, tomatoes, strawberries, apples, and grapes are some featured fruits and vegetables. They help restore your body’s electrolyte and mineral balance, which can deplete the brain and other tissues if they are not routinely restored. One can avoid it by drinking enough water and eating healthy foods.

On the other hand, if you feel lightheaded or dizzy to the point that you need medical attention, you should go to the emergency room of the hospital closest to your location as soon as possible.

5. Fever and Chills

Fever and chills are two symptoms frequently experienced by people afflicted with viral infections such as the flu. Nevertheless, it would be best if you did not disregard this warning sign.Additionally, it should serve as a warning sign for severe dehydration. When the body is deprived of fluids and tries to maintain a normal temperature, hyperthermia, and symptoms similar to fever can occur. Some of these symptoms include chills.

If something like this happens while you’re working out or participating in a sport, you should immediately stop what you’re doing and sit down. The stress you’re placing on the many systems in your body makes your symptoms even more severe.

It is possible to cure the symptoms of dehydration at home by increasing the amount of fluid consumed and applying a cold compress to the face or immersing in an ice bath. You should seek emergency medical assistance if your fever lasts more than 103 degrees Fahrenheit or rises over that temperature.

If something like this happens to an adult, it might indicate severe dehydration, which requires prompt medical attention.

6. Unconsciousness

Dehydration can bring on unconsciousness by lowering blood pressure or making a person feel faint. Your condition will remain under observation by the medical staff until it is certain that it has stabilized and your fluid levels have returned to normal.


Several factors influence how much water you need to drink daily, including your age, gender, whether you are pregnant or nursing, and whether or not you have any preexisting medical concerns.

Exynos 2100: What You Should Know About Samsung’S Flagship Chipset

Exynos 2100 specs

The Exynos 2100 is a landmark release for the firm, not just because of the fact that it’s a 5nm design. It’s the company’s first flagship SoC without custom CPU cores since 2023’s Exynos 7420. Instead of Samsung’s in-house Mongoose cores, the new SoC exclusively uses Arm’s Cortex cores.

The chipset sports one Arm Cortex-X1 core clocked at 2.9GHz, three Cortex-A78 CPU cores at 2.8GHz, and four Cortex-A55 cores running at 2.2GHz. This is the same CPU core arrangement seen on the rival Snapdragon 888 SoC. Samsung said the new CPU setup enables a 30% boost to multi-core performance over the Exynos 990. The Korean brand also points to the 5nm process as being crucial, saying it enables 20% lower power consumption or 10% better overall performance.

Exynos 2100: 5G and AI

Supplied by Samsung

A modern smartphone processor doesn’t just consist of the CPU and GPU, as cellular connectivity is one of the most important elements. The Exynos 2100 sports an integrated 5G modem with sub-6GHz and mmWave capabilities. Sub-6GHz downlink speeds theoretically top out at 5.1Gbps, while mmWave speeds top out at 7.35Gbps.

The actual speeds aren’t an upgrade over the Exynos 990, but the move to an integrated modem means you can expect better power efficiency compared to 2023’s flagship processor.

Moving to machine learning, the Exynos 2100 delivers a tri-core NPU that boasts 26 TOPS of power. By contrast, the Exynos 990 features 15 TOPS of power. Of course, there’s more to machine learning than a simple measurement, and the new NPU touts twice the power efficiency of the older silicon. So expect tasks like computer vision, scene recognition, and more to sip less juice.

Camera support

Robert Triggs / Android Authority

The Exynos 2100 is a camera powerhouse, offering 200MP camera support as well as support for up to six cameras and concurrent data processing from four sensors. In fact, the chipset features a so-called multi-camera and frame processor (MCFP) within the ISP, which is able to combine data from multiple sensors to deliver improved zoom, better wide-angle shots, and more.

On the video front, you’ve got 8K/30fps recording, 8K/60fps playback, 4K/120fps recording, and AV1 codec support for decoding. In other words, Samsung’s processor is among the top dogs when it comes to photo and video capabilities. Qualcomm’s equivalent chipset (Snapdragon 888) doesn’t support AV1 decoding or encoding, making this a notable feather in Samsung’s cap as more streaming services support the bandwidth-friendly standard.

Supported phones

Exynos SoCs usually find their way into Samsung’s flagship offerings, and the Exynos 2100 continues this trend. The Galaxy S21 series offers this processor in most markets aside from the US. In other words, you’ll be getting an Exynos-powered S21 if you’re in Europe, India, the Middle East, Africa, and several Asian locales.

Flagship Exynos chipsets have traditionally appeared inside the Galaxy Note range as well, but we aren’t getting a Note this year. Meanwhile, both the Galaxy Z Flip and Galaxy Z Fold lineups have generally used Qualcomm silicon for all variants.

How does it fare against the Snapdragon 888? What to know about a successor?

Samsung confirmed to Android Authority earlier this year that the next Exynos flagship processor (i.e. Exynos 2100 successor) would indeed offer AMD graphics. Furthermore, AMD revealed back in June that this mobile GPU would have features like ray tracing and variable refresh rate support. The graphics company added that Samsung would reveal more details “later this year.”

This suggests that the Galaxy S22 will offer AMD graphics, which could theoretically make for a big upgrade over Arm’s Mali GPU tech. But we’ll need to wait for more details and benchmarks first. Otherwise, we’re expecting the next Exynos chipset to potentially make use of the new Armv9 architecture, as well as Arm’s latest CPU cores. These cores include the Cortex-X2, Cortex-A710, and the Cortex-A510.

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