Trending February 2024 # Fortect Review: How Does This Windows Repair Tool Work? # Suggested March 2024 # Top 10 Popular

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There is no dearth of tools that we can use to optimize our Windows PCs. But a few do their work perfectly. Fortect Repair Tool & PC Optimizer is a program that can scan your PC for errors, fix them automatically and optimize your PC to make it run faster! In this guide, we review Fortect and explain its features to you.

Fortect Review

Fortect Repair Tool and Windows Optimizer is a paid program that scans your PC and fixes the issues when you run it.

You need to download it from Fortect and install it on your PC to use it. When you install it, it runs automatically at the startup of your PC and scans it. You will see the results of the scan and the issues that need to be fixed on your PC. When you choose to repair the issues and optimize your PC, Fortect will automatically fix them, thereby optimizing your PC and making the use of system resources more efficiently.

Fortect Features

Fortect not only detects when Windows isn’t running properly, but it also fixes the problem at its core. Any damaged or missing files are replaced by original copies from Windows System File Checker, while your system is optimized and secured based on the latest knowledge. Malware, Registry, Browser Cache, and Junk files modules can be accessed within the app.

All items scanned can be repaired individually, free of charge during the trial period, but for automated optimization, a purchase is required.

The main features of Fortect, in short, are:

Detect & Repair Stability Issues

Browser Cleanup

Optimize Windows Registry

Junk Files and Privacy Traces Removal

Malware and PUA/PUP Removal

Real-Time Software monitoring

What does Fortect Repair tool & PC Optimizer do?

Before getting into how Fortect works, there are some great features on Fortect that can help you optimize as well as protect your PC.

Fortect Repair Tool can do the following things:

Fix Windows issues

Fix Virus Damage

Fix Computer Freezes and BSOD errors

Fix Damaged or Missing DLL Files

Restore the Windows OS

Fix Windows issues

We come across some Windows issues regularly and processes or programs may stop working due to damaged or corrupted files. Fortect can fix Windows issues by replacing damaged or corrupted files with new and legitimate files from its up-to-date database.

Fix Virus Damage

It is a known fact that viruses and malware damage our PCs and the data on them. Even after we get rid of malware, there might be some issues lingering on our PC that are caused by them. Fortect has the capability to find and repair virus damage to make your PC work more efficiently. 

Fix Computer Freezes and BSOD errors

We occasionally come across programs freezing or our PC crashing. They can happen due to a damaged registry, or missing or corrupted files. Also, we see the Blue screen of death errors where our PCs become unusable until we fix them, or else we regularly see BSOD errors. These two are the major issues everyone faces and Fortect is developed to fix them automatically without you doing anything except to run the program.

Fix Damaged or Missing DLL Files

DLL files are necessary components for the smooth functioning of our PC. We see issues like DLL files missing or getting damaged. In that case, Fortect can scan your PC to find such issues and fetch the original files from its up-to-date database and replace the corrupted or missing files to make your PC run smoothly. 

Restore OS

If you come across any issues with the Windows operating system on a whole on your PC, Fortect can restore the healthy version of your OS where there are no issues that hinder the performance and functioning of your PC. It does its tasks without harming your data. 

How to use Fortect Repair tool & PC Optimizer

To use Fortect on your PC, download it from Fortect and install it on your PC. Once you have installed the program, run it. It will automatically scan your PC and find the issues that hinder the performance of your PC. The scan will be completed within 5 minutes or less, and you will see the scan summary. 

You will now see the progress of the repair along with the issues Fortect is fixing.

Once the repair is done, you will see repair results where you can see the data of all the issues fixed in the last scan and repair session on the Fortect software. 

Fortect software pricing

Fortect has three PC Repair Plans for users. They are One Year Repair plan for 1 PC, One Year Repair plan for 3 PCs, One Year Repair Plan for 5 PCs. You can scan and repair PCs an unlimited number of times if you buy a plan. There is no limit on the number of repairs you can do. 

The pricing of each plan is as follows: 

One Year Unlimited repair for 1 PC: $69.95 (Available for a discount at $33.95)

One Year Unlimited repair for 3 PCs: $99.95 (Available for a discount at $41.95)

One Year Unlimited repair for 5 PCs: $129.95 (Available for a discount at $64.95)

Fortect is a great tool that can automatically scan and fix issues on your PC to optimize performance. The features Fortect offers are great for regular users. If you are looking for software to hardware issues, this program will not work for you. What Fortect does is fix the issues that happen at the Windows OS level and fix them automatically when you choose to repair them. 

Is Fortect Safe?

Fortect software is safe to install and use. I have tested the repair tool on my PC and found no issues. No security vendors and sandboxes have flagged the Fortect installer file as malicious. It is a legit tool to scan and repair your PC, and you can use it when you want just by installing and running it.

To be absolutely safe, you should always create a system restore point before installing and using it. 

It is AppEsteem certified, and you can read its reviews on TrustPilot.

Where do I get Support for Fortect? How do I remove Fortect?

What are the alternatives to Fortect?

There is no single software that can do all that Fortect can do. Among free software, you can use CCleaner, FixWin, Intel or AMD Driver Update Utilities, and the built-in Defender & SFC to perform the same tasks.

You're reading Fortect Review: How Does This Windows Repair Tool Work?

How Does Opencv Findcontour() Work

Introduction to OpenCV findContours

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It works essentially well on binary pictures and images, thought at the first application of Sobel edges and thresholding techniques should be implemented. Each of the individual contour is representative of an individual numpy array with coordinates x and y, which represents the boundary point for the object that the user has entered.

Syntax of OpenCV findContour()

Following is the syntax used for application of the OpenCV findContour method:

void cv :: findContours (InputOutputArray image, OutputArrayOfArrays contours, OutputArray hierarchy, int mode, int method, Point offset = Point() ) Parameters of OpenCV findContour():

Following are the parameters used for the Open CV findContour() method:

Image It is the source image that is used which is generated through a single channel of about eight bits. Any pixels that are in the non-zero category designated as 1’s, the pixels with zero categories are designated as 0’s, perforce converting the image into a binary form. Various parameters (such as adaptiveThreshold, inRange, Canny, threshold, etc.) can then be further applied in order to create the binary images using the coloured or grayscale image that is the user. In case the mode is equal to RETR_FLOODFILL or RETR_CCOMP, then the image which is being entered by the user as the source image be a 3- bit integer-based image of label CV_32SC1.

Contours Detection of contour – each of the single contour has been stored in the form of multiple points that are vectors.


Mode Mode activated specifically to contour retrieval.

Method Mode activated specifically to depict the approximation method for the image contour.

Offset It is an optional parameter by using which every contour point can be shifted. It is essentially useful when the contour has been extracted are image ROI, and then further analysis should be done in the context of the whole image.

How does OpenCV findContour() Work?

When the computer is made to detect the edges of an input image, it then finds the points where specifically, there is a significant difference notice in the intensity of colouration, then simply those pixels are turned on. A stark differences noticed when the system is instructed to perform contouring.

Contours are basically an abstract collection of segments and points that correspond to the reflective shapes of the objects that are present in the images that have been processed through the system. as a result of this; it is in our capacity to manipulate the contouring within the programs through which they are being accessed.

This can be done in multiple ways, such as having a count on the number of contours in an image and then using that to categorize the object shapes, for segmentation of images or cropping objects from the image that is being processed and many more such similar functions.


Given below is the example of OpenCV findContour:


import numpy as np1 import cv2 img_1 = cv2.imread('EduCBA.png') print (“The Gray scale image is ” /n) imgray_1 = cv2.cvtColor(img_1, cv2.COLOR_BGR2GRAY) ret, thresh = cv2.threshold(imgray_1, 127, 255, 0) contours, hierarchy = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE) print("The Total Number of Contours in the Image = ") print (str(len(contours))) print(contours[0]) cv2.drawContours(img_1, contours, -1,(0,2550,0),3) cv2.drawContours(imgray_1, contours, -1,(0,255,0),3) print (“The original image is: “ /n) cv2.imshow('Image', img_1) cv2.imshow('Image GRAY', imgray_1) cv2.waitKey(0) cv2.destroyAllWindows()

The output screen displays the screenshot on the compiling of the above code.

Conclusion – OpenCV findContours

The OpenCV find contour method is essentially useful as it provides for a pre-defined function that can be called without implementation of an entire code and can be modified using the various parameters. It is essentially helpful in terms of analysing the shape of the image provided, in the detection of the size and dimension of the object that has to be detected in the provided image and in the detection of specific objects. This is done in order to categorize the object shapes, for segmentation of images or cropping objects from the image that is being processed and many more such similar functions.

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How Does Code Injection Work?

Code injection, often referred to as remote code execution (RCE), is an attack perpetrated by an attackers ability to inject and execute malicious code into an application; an injection attack. This foreign code is capable of breaching data security, compromising database integrity or private properties. In many instances, it can bypass authentication control, and usually these attacks are associated with applications that depend on user input for execution.

Generally, applications are more vulnerable if the code is executed without first passing through validation. A simple case of a vulnerable code is shown below.

Due to the fact that user interaction with applications is more and more a necessity in today’s online world, code injection has grown and has become a real threat to many online resources.

Types of code injections

There are mainly four types of code injections: SQL injection, Script injection, Shell injection, and Dynamic evaluation. All of these have the same working principle, that is, the code is introduced into and executed by applications, but the two I will pay focus on are SQL injection and Script injection.

How SQL injections work

In the case of SQL injection, the attack is aimed at corrupting a legitimate database query to produce falsified data. The attacker first has to locate an input within the targeted web application that is included inside of an SQL query.

This method is only effective if the web application has user input included within an SQL statement. A payload (a malicious SQL statement) can then be inserted and run against the database server.

The following server-side pseudo-code is a simple example of authentication that can prove vulnerable to SQL injections.

In the above code the attacker could insert a payload that would change the SQL statement executed by the database server. An example would set the password field to:






This automatically causes the following statement to be run against the database server:

















What SQL injection can do

This is the most common type of code injection. Considering the fact that SQL is the language used to manipulate data stored in Relational Database Management Systems (RDBMS), an attack with the power to give and execute SQL statements can be used to access, modify and even delete data.

It can give the attacker the ability to bypass authentication, have full disclosure of data stored in the database, compromise data integrity and cause repudiation issues, altering balances and voiding transactions.

How to prevent SQL injections

There are a few steps to make your applications less vulnerable, but before any of these steps, it is best to assume all user-submitted data is evil and to trust no one. Then you could consider the following:

Disable the use of dynamic SQL – this means don’t construct database queries with user input. If required, sanitize, validate and escape values before making a query with user input data.

Make use of a firewall – A web application firewall (software or application based) will help filter malicious data.

Purchase better software – This simply means coders will be responsible for checking and fixing flaws.

Encrypt or hash passwords and every other confidential data you have, this should include connection strings.

Avoid connecting to your database with admin privileged accounts unless you absolutely need to.

Script injection How to prevent script injections

The steps to prevent script injections are dependent on the programming code you are using. Generally, you will want to:

validate and sanitize user input (any form of input fields) by striping out or escaping potentially malicious content

clean up query strings in URLs

validate and sanitize all forms of data, arrays and objects before executing in the server


Simply said, prevention is better than a cure. With new updates in technology, there are more threats our systems are going to be exposed to. To stay on top of things, it’s important to have the latest patches and updates and to keep an ear out for best practices. This makes it harder to fall victim to these malicious attacks.

Afam Onyimadu

Afam is a writer with a passion for technology amongst many other fields. Aside from putting pen to paper, he is a passionate soccer lover, a dog breeder and enjoys playing the guitar and piano.

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Stellar Repair For Outlook: Pst Recovery Tool Reviewed

Microsoft’s subscription-based service has been quite successful, with the Outlook becoming a strong contender to Google’s Gmail. However, if you have used the Outlook app on Windows 10, you must have noticed some error or the other popping up every now and then within the application.

If you use Outlook regularly as your default email service app, misbehaving outlook application can be a scary thing to have. This is where outlook PST recovery tools come in handy. Let us take a look at Stellar’s Outlook PST recovery tool, And see if it’s worth your money and time.

PST files are very important for the outlook application. It is primarily used to back up or export the above-mentioned items from an outlook account. In case the application or the data gets corrupted you can also use the PST files to restore your account as if nothing happened.

One of the most common problems you will have with PST files is the size issue. With regular use, your personal storage file can become overpopulated very quickly, which can lead to the table being corrupted.

Apart from this, you can also have problems with the PST file if the outlook application or the storage drive is not shut down properly. Not only will you lose your PST and OST files, but you are also at the risk of losing all of your files stored on the drive.

A hidden Virus or malware can also corrupt the personal storage table used by outlook. Such malicious files Can also scramble your network drive if that is where you store your data.

Some of the most common outlook PST errors include the error codes 0x80040116, 0x80040119 and 0x80040600. If you see such error codes with error message Outlook PST cannot be accessed, the PST file may have become corrupted on your computer.

Yes, Microsoft does provide an inbox repair tool along with the outlook application. However, it is a huge gamble relying on the unreliable repair tool. There have been reports of the repair utility failing to repair severely corrupted PST files, deleted items, etc.

The repair utility also fails to recover the PST files in a single run. Users have repeatedly complained about having to run the repair process over and over again until they got an inbox that was close to the state before getting corrupted.

Stellar Outlook PST File Recovery is a well-known PST repair software, built specifically to replace Microsoft’s PST repair tool on your computer. With Stellar Outlook Recovery, you will never have to worry about losing your PST data ever again, as this powerful recovery tool can repair corrupted and deleted Outlook information files with relative ease.

Let us take a look at some of the things we liked, and where you may face problems while using Stellar outlook repair.

You will find the installation process extremely easy by following this installation guide.

The PST recovery tool is one of the most efficient ones you will find on the market. The repair tool can restore severely corrupt PST files without any size constraints. The tool is also able to recover deleted and other corrupted items into a new PST file or other file formats.

Apart from this, you can also recover Outlook data like emails, Contacts, addresses and more from encrypted or password-protected PST files. The tool also supports selective recovery, where you can choose what do you want to restore to your account. You can also save your scan results for any future reference.

the software has excellent support for Microsoft Outlook 2023 and the older versions as well. The support also extends do the recovery file formats, where you can recover your data in not only the PST format but other file formats as well as EML, MSG, HTML, RTF and more.

You can run the software on any version of Windows if your device needs the minimum system requirements. The official support page says you can install the tool on Windows 10, 8.1, 7 and Vista.

Here is the simple and effective user guide for the app.

here are some of the things you need to keep in mind before you take a look at Stellar Repair For Outlook.

While there is excellent support for different operating systems, there is a noticeable hiccup have when it comes to older devices. when we tried running the app on an older system with a slower processor the app took two tries to finish the installation, and two more tries to run scans.

When it comes to repairing larger PST files you may end up requiring a powerful system, as we saw the performance drop significantly over time. file recovery is an extensive task, but while trying to recover a large 30 GB PST file, we saw constant full RAM and CPU usage.

You need to keep this in mind If you plan on running this tool on slower or older devices.

We use Office 365 extensively. One of the features that we missed the most was being unable to export our recovered PST files directly to Office 365. Yes, this feature is available on the professional and technician versions of the app, but they are too costly for personal use and are more suited on corporate systems.

Another thing you may miss is the inability to convert offline OST files to PST files on any version of outlook.

The basic Professional version costs $99- for a lifetime license, while the Technician and Toolkit versions retail for $249- and $299- only. At that cost, it comes down to how extensively you use the Outlook application in your day to day usage.

How Does Join Work In Linux?

Introduction to Linux Join

In a certain situation in today’s world, when the data is sparse, it becomes necessary to join 2 files that contain parts of the same data. In other words, using join, one can achieve the utility of “joining” 2 files so that the join output makes more sense and is complete. There are many applications where the join command finds its use. Let us make it more clear to you with an example. Suppose there are 2 files; in one file, we have a list of employees, and in the other, their addresses. Join in Linux comes in handy for these kinds of join situations!

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The basic syntax attached to the join is:


Where FILE1 and FILE 2 are the files, where contents are located, and OPTION denotes the various options we would discuss here, which help achieve the desired requirement.


2. -v option: Way to ONLY print non-paired lines.

3. Join custom columns from 2 files


4. -i / –ignore-case option: Case insensitive join



5. –check-order / –nocheck-order: Check for sort through all input lines.



6. –help option: Display of help message.


Join --help How does Join Work in Linux?

Join in Linux finds its application in various uses, and in this section, we will look into some of the most used ones during the explanation of each of them; we will take turns explaining the working of each in due course of the section.

The first and foremost is the basic join, where the intent is to join 2 files through a common key; here, the key is also referred to as an index and acts like matching 2 contents on similar grounds. Think of this as a sports tournament, where teams play against each other on some common ground, may it be goals scored in soccer, runs scored in cricket, and so on. Now since only 2 teams can play against each other in contrast to so many teams in the tournament, there are some common rules to judge the winners and runners-up.

Now, with the same analogous situation, the 2 files will be compared, and wherever the index would match, the contents corresponding to the index will be copied along with a gap. Now, one needs to be careful about any gap or empty character in place as they will tend to be concatenated along. In the next one, there might be conditions where the “index” might be missing from any one of the files, and hence the user may choose to add the non-paired ones during the join with the intent that the result file is something like a union of the files and would contain “best of both worlds”.

Also, one must be aware of the act that the join in Linux is case sensitive. In some scenarios, the user would like to neglect the case of the indexes used for joining. Now, obviously, if the index is a number, the case won’t matter, but in case the index is alphabets, the ascii value of small caps in comparison to all caps is different and hence problematic for Linux to join by default. Hence, the user can use -i to make the indexes case-insensitive during the join.

At last, there are other sets of commands which one can access using –help in Linux, should one feel the need to explore more of Linux join.

Examples of Linux Join

Given below are the examples mentioned:

Example #1

Join with printing all non-paired rows in File 2.


join chúng tôi chúng tôi -a 2

Join with printing all non-paired rows in File 1.


join chúng tôi chúng tôi -a 1


Inputs files:

Join with printing all non-paired rows in File 2:

Join with printing all non-paired rows in File 1:

Example #2

Join with printing ONLY non-paired rows in File 2:


join chúng tôi chúng tôi -v 2

Join with printing ONLY non-paired rows in File 1:


join chúng tôi chúng tôi -v 1


Example #3


When the order of custom columns is different:

join chúng tôi chúng tôi -1 2 -2 1

When the order of the custom column is the same:

join chúng tôi chúng tôi -j 2


When the order of custom columns is different:

When the order of the custom column is the same:

Example #4


join -i chúng tôi file2.txt join --ignore-case chúng tôi file2.txt


When no option is used, the join returns empty!

Example #5


No option

join -i chúng tôi file2.txt

Using the option of check order

join -i --check-order chúng tôi file2.txt

Using the option to not check the order.

join -i --nocheck-order chúng tôi file2.txt


When the option “–nocheck-order” is not available, an error is reported if there is unsorted data. However, when the “–nocheck-order” option is used, the error is suppressed, and the unsorted line is simply omitted from the process.

Example #6


join --help



With the set of examples and explanations to the working of join in Linux, you must be quite used to the usage of the same, and this will enable you to experiment more with other arguments of Linux join.

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How Does Numpy.mean() Work With Example

Introduction to numpy.mean()

Numpy.mean() is function in Python language which is responsible for calculating the arithmetic mean for the all the elements present in the array entered by the user. Simply put the functions takes the sum of all the individual elements present along the provided axis and divides the summation by the number of individual calculated elements. The axis along which the calculation is made has to be prespecified or else the default value for axes will be taken.

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Syntax and Parameters

The following is the syntax that displays how to implement numpy.mean().

The syntax entered by the user is sent in terms of float * 64 intermediate and there by returns the value for the associated integers corresponding for the mean value.

The parameter used in the Syntax for using numpy.mean()

a *: *array *_ *like *

The array is being entered by the user or prompted to be entered. In case the array entered is not of an integer data type, then the conversion of the form is tried on the data entered.

axis : None *, *  *int *, *  *tuple * (optional parameter)

The computation of the axis along the elements of the specified array entered by the user is done. By default, the mean of the pre-flattened array is computed. In case the array entered is a tuple, in such a case the mean is computed over various axes of the array.

 dtype * *: * *data *– *type *, (parameter is optional)

For the computation of the mean the parameter type is utilized. By default, the float 64data type is used for arrays with integer data sets. In case the data being input is floating it remains the same as the dtype entered.

out : ndarray, (parameter is optional)

keepdims: bool, (parameter is optional)

If the parameter specified is True, the axis or axes which are deduced are kept in the expected result as the dimensions having size one. The option enables the result to be broadcasted correctly in response to the array which has been entered. In case value by default, a parameter is passed then the keepdims parameter would not be passed on to the method-specific for mean with respect to the array and its sub-classes. However, it must be noted that for non-default values passed the keepdims parameter would be applicable to raising exceptions if any.

m : ndarray

If the parameter out=None, then in such a case a new array is returned which contains the mean values. Else, in such cases, the reference values with respect to the elements if retuned.

Example to Implementation NumPy.mean()

Below are the examples mentioned:


import numpy as n1 a1 = n1.array([[10,20,30],[30,40,50],[40,50,60]]) print 'The new array entered by the user is:' print a1 print 'Application of the Numpy.mean() function on the array entered:' print n1.mean(a1) print 'Application of the mean() function alongside the axis - 0:' print n1.mean(a1, axis = 0) print ' Application of the mean() function alongside the axis - 1:' print n1.mean(a1, axis = 1)

The following output would be produced for the code specified above:

How Does the numpy.mean() Work?

The function scans through the values which are specified in the array which is provided by the user. It firstly tries to flatten the resultant array before the computation of the arithmetic mean on the same. The below diagrammatic systemic representation shows the function actually executes the calculation:

We can use the NumPy mean function to compute the mean value:

As the function for mean travels through various axis or axes provided by the user, it scan through and tries to integrate the arithmetic mean functionality for all integral values, Where the elements do not match up to be integral data type, it tries to convert such numbers.

Here you can see for a single dimensional array with six specified elements, the functions scans each of the elements and then divides the total summation of the elements by the total number of elements present in the array (here 6).

This way for arrays with multiple dimensions all or specified axis is mentioned along which the mean is calculated which is displayed in an array form for more than one-dimensional arrays.


The function mean() in NumPy is very useful for calculating the arithmetic average of elements especially in terms of data given in array subsets. This being calculated through manual code impacts the verbosity of the code and thus impacts on the computation time for long codes with large data sets.

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This is a guide to numpy.mean(). Here we discuss the introduction and working of numpy.mean() along with different examples and its code implementation. You may also look at the following articles to learn more –

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