Category: News
complex questionnare in excel
In an excel, I am having a quiz, but complication is that each question has different options and hence difference score. So each question can have one answer and based on selection, there is a score given which is different for each question options.
So for example For Question 1 – selecting A is .5, B is 1.0, C is 1.5 and so on.
and Question 2 could be A is .75, B is 0, C is .25.
This should give the idea of the complexity. I tried combination of vloopup and countif etc but not able to wrap my head around it. At the end, i just need total for all questions. e.g. Q1 – .5, Q2 – .25 = .75.
would appreciate any inputs.
In an excel, I am having a quiz, but complication is that each question has different options and hence difference score. So each question can have one answer and based on selection, there is a score given which is different for each question options.So for example For Question 1 – selecting A is .5, B is 1.0, C is 1.5 and so on.and Question 2 could be A is .75, B is 0, C is .25.This should give the idea of the complexity. I tried combination of vloopup and countif etc but not able to wrap my head around it. At the end, i just need total for all questions. e.g. Q1 – .5, Q2 – .25 = .75.would appreciate any inputs. Read More
how to prepare the data set for boxLabelDatastore function using image labler APP
I have a data set prepared by image labler APP. The format of the bounding box is different to the example showing on the matlab page.
Object Detection Using YOLO v2 Deep Learning – MATLAB & Simulink – MathWorks Australia
I wrote some codes to convert them, but not very successful. There are either single or double quotation marks in my table and
The boxLabelDatastore report an error message as below:
Error using boxLabelDatastore>iAssertValidBBoxFormat
The size of bounding box data must be M-by-4, M-by-5, or M-by-9, where M is the number of boxes in each table element. The column in the training data table that contains the bounding boxes must be a cell array.
My questions are:
1) How could I convert them into a cell array without ‘ or ”
2) Is there a easy way to label image and produce the dataset that mataches the example data set?
Regards
data_snail = load(‘340Ann.mat’);
imageFilename = data_snail.gTruth.DataSource;
% imageFilename = cell2table(imageFilename);
snaillist = data_snail.gTruth.LabelData.snail;
for i =1:length(snaillist)
tmp=snaillist{i};
rowStrings = arrayfun(@(row) strjoin(arrayfun(@(x) num2str(x), tmp(row, :), ‘UniformOutput’, false), ‘, ‘), 1:size(tmp, 1), ‘UniformOutput’, false);
if size(tmp,1)>1
resultString = strjoin(rowStrings, ‘; ‘);
else
resultString = rowStrings;
end
column(i,1) = string(imageFilename{i});
resultString = strcat(‘[‘, resultString, ‘]’);
column(i,2) = string(resultString);
resultString=[];
end
snailDataset = array2table(column, ‘VariableNames’, {‘imageFilename’, ‘snail’});
snailDataset.snail=cellstr(snailDataset.snail);I have a data set prepared by image labler APP. The format of the bounding box is different to the example showing on the matlab page.
Object Detection Using YOLO v2 Deep Learning – MATLAB & Simulink – MathWorks Australia
I wrote some codes to convert them, but not very successful. There are either single or double quotation marks in my table and
The boxLabelDatastore report an error message as below:
Error using boxLabelDatastore>iAssertValidBBoxFormat
The size of bounding box data must be M-by-4, M-by-5, or M-by-9, where M is the number of boxes in each table element. The column in the training data table that contains the bounding boxes must be a cell array.
My questions are:
1) How could I convert them into a cell array without ‘ or ”
2) Is there a easy way to label image and produce the dataset that mataches the example data set?
Regards
data_snail = load(‘340Ann.mat’);
imageFilename = data_snail.gTruth.DataSource;
% imageFilename = cell2table(imageFilename);
snaillist = data_snail.gTruth.LabelData.snail;
for i =1:length(snaillist)
tmp=snaillist{i};
rowStrings = arrayfun(@(row) strjoin(arrayfun(@(x) num2str(x), tmp(row, :), ‘UniformOutput’, false), ‘, ‘), 1:size(tmp, 1), ‘UniformOutput’, false);
if size(tmp,1)>1
resultString = strjoin(rowStrings, ‘; ‘);
else
resultString = rowStrings;
end
column(i,1) = string(imageFilename{i});
resultString = strcat(‘[‘, resultString, ‘]’);
column(i,2) = string(resultString);
resultString=[];
end
snailDataset = array2table(column, ‘VariableNames’, {‘imageFilename’, ‘snail’});
snailDataset.snail=cellstr(snailDataset.snail); I have a data set prepared by image labler APP. The format of the bounding box is different to the example showing on the matlab page.
Object Detection Using YOLO v2 Deep Learning – MATLAB & Simulink – MathWorks Australia
I wrote some codes to convert them, but not very successful. There are either single or double quotation marks in my table and
The boxLabelDatastore report an error message as below:
Error using boxLabelDatastore>iAssertValidBBoxFormat
The size of bounding box data must be M-by-4, M-by-5, or M-by-9, where M is the number of boxes in each table element. The column in the training data table that contains the bounding boxes must be a cell array.
My questions are:
1) How could I convert them into a cell array without ‘ or ”
2) Is there a easy way to label image and produce the dataset that mataches the example data set?
Regards
data_snail = load(‘340Ann.mat’);
imageFilename = data_snail.gTruth.DataSource;
% imageFilename = cell2table(imageFilename);
snaillist = data_snail.gTruth.LabelData.snail;
for i =1:length(snaillist)
tmp=snaillist{i};
rowStrings = arrayfun(@(row) strjoin(arrayfun(@(x) num2str(x), tmp(row, :), ‘UniformOutput’, false), ‘, ‘), 1:size(tmp, 1), ‘UniformOutput’, false);
if size(tmp,1)>1
resultString = strjoin(rowStrings, ‘; ‘);
else
resultString = rowStrings;
end
column(i,1) = string(imageFilename{i});
resultString = strcat(‘[‘, resultString, ‘]’);
column(i,2) = string(resultString);
resultString=[];
end
snailDataset = array2table(column, ‘VariableNames’, {‘imageFilename’, ‘snail’});
snailDataset.snail=cellstr(snailDataset.snail); deep learning, image labelling, boxlabeldatastore MATLAB Answers — New Questions
Best Tool to Convert PST to MBOX Format
Take the help from Advik PST to MBOX Converter. This is the best way to convert PST file to MBOX format. The software is available for free for trial purpose. It will export all emails from PST file into MBOX files. During the conversion process, the software will maintain folder and sub folder heirarchy.
Steps to Convert PST to MBOX format
Run Advik PST to MBOX Converter in Windows PC.Add PST file into software from Select File option.Select mailbox folders to convert.Choose MBOX as saving option.Click Convert button.
Done! The software will start converting PST emails to MBOX format.
Take the help from Advik PST to MBOX Converter. This is the best way to convert PST file to MBOX format. The software is available for free for trial purpose. It will export all emails from PST file into MBOX files. During the conversion process, the software will maintain folder and sub folder heirarchy. Steps to Convert PST to MBOX formatRun Advik PST to MBOX Converter in Windows PC.Add PST file into software from Select File option.Select mailbox folders to convert.Choose MBOX as saving option.Click Convert button.Done! The software will start converting PST emails to MBOX format. Read More
Top 5 Best OST to PST Converter for Windows
Looking for best OST to PST Converter for Windows 11/10? This post shares the list of top 5 best OST to PST Converter software tin 2024. The software will export all data from OST into PST format without Outlook. Have a look to the list.
Top 5 Best OST to PST Converter in 2024
Advik OST to PST ConverterXtraxtorYota OST to PST ConverterSystools OST File ConverterBitrecover OST to PST Export
Looking for best OST to PST Converter for Windows 11/10? This post shares the list of top 5 best OST to PST Converter software tin 2024. The software will export all data from OST into PST format without Outlook. Have a look to the list. Top 5 Best OST to PST Converter in 2024Advik OST to PST ConverterXtraxtorYota OST to PST ConverterSystools OST File ConverterBitrecover OST to PST Export Read More
Top 7 Best EML to PST Converter Trending
Choosing the best EML to PST Converter from tons of application is quite confusing. Don’t woryy! In this posT I will help you to choose the right one. After testing dozens of tools for converting EML to PST format. We had listed 7 best EML to Outlook PST Converter. Check out the list below.
Top 7 Best EML to PST Converter Software
Advik EML to PST ConverterXtraxtorYota EML to PST ConverterSystools EML File ConverterBitrecover EML to PST ExportRecoverytools EML ConversionCorbett EML to Outlook Converter
Choosing the best EML to PST Converter from tons of application is quite confusing. Don’t woryy! In this posT I will help you to choose the right one. After testing dozens of tools for converting EML to PST format. We had listed 7 best EML to Outlook PST Converter. Check out the list below. Top 7 Best EML to PST Converter SoftwareAdvik EML to PST ConverterXtraxtorYota EML to PST ConverterSystools EML File ConverterBitrecover EML to PST ExportRecoverytools EML ConversionCorbett EML to Outlook Converter Read More
WebNN: Unleashing AI in the Browser
What is WebNN?
Web Neural Network API (WebNN) is a JavaScript API that empowers web developers to perform machine learning computations on neural networks directly within web applications. It simplifies the integration of machine learning models into web apps, opening up new possibilities for interactive experiences and intelligent applications right in the browser.
WebNN is primarily designed for inference tasks rather than training. It provides an abstraction layer for efficient neural network inference acceleration in web applications. The Web Neural Network API (WebNN) is a web-friendly, hardware-agnostic abstraction layer for neural network inference acceleration. It allows web applications to efficiently run machine learning computations on various devices, including CPUs, GPUs, and dedicated AI accelerators1. Developers can leverage WebNN to perform inference tasks in web applications, benefiting from reduced latency, enhanced privacy, and GPU acceleration. If you’re interested in constructing and executing computational graphs of neural networks in the browser, WebNN provides a high-level interface for these tasks. As of now, WebNN is available in Edge and Chrome browsers.
With emerging ML innovations in both software and hardware ecosystem, one of the main challenges for the web is to bridge this software and hardware development and bring together a solution that scales across hardware platforms and works with any framework for web-based machine learning experiences. We propose the WebNN API as an abstraction for neural networks in the web browsers.
As illustrated in the architecture diagram of the figure above, web browsers may implement the WebNN API using native machine learning API available in the operating system. This architecture allows JavaScript frameworks to tap into cutting-edge machine learning innovations in the operating system and the hardware platform underneath it without being tied to platform-specific capabilities, bridging the gap between software and hardware through a hardware-agnostic abstraction layer.
The following code sample illustrates a simple usage of this API.
Use Cases
WebNN offers several use cases for web applications. Here are some common scenarios where WebNN can be beneficial:
Face Recognition: Face Landmark (SimpleCNN) with WebNN.
Facial Landmark Detection: Use WebNN to detect facial landmarks, which can be useful for applications like augmented reality filters or emotion analysis.
Image Classification: Leverage WebNN for image classification tasks. You can demonstrate this using pre-trained models and the WebNN API.
Object Detection: Perform object detection in web applications by utilizing WebNN with pre-trained models.
Noise Suppression: Implement noise suppression models (e.g., RNNoise) using WebNN for audio processing,
Selfie Segmentation: Explore MediaPipe Selfie Segmentation using TFLite Web XNNPACK delegate and WebNN delegate for real-time background removal in selfies.
Semantic Segmentation: Use WebNN to implement semantic segmentation tasks, such as identifying object boundaries in images.
Style Transfer: Apply artistic style-transfer techniques to images using WebNN.
Remember that WebNN simplifies neural network inference in the browser, making it more accessible for web developers.
Target hardware
Web applications and frameworks can target typical computing devices on popular operating systems that people use in their daily lives. Initial prototypes demonstrate respectable performance on:
Smartphones e.g. Google Pixel 3 or similar
Laptops e.g. 13″ MacBook Pro 2015 or similar
The WebNN API is not tied to specific platforms and is implementable by existing major platform APIs, such as:
Android Neural Networks API
Windows DirectML API
macOS/iOS ML Compute API
Depending on the underlying hardware capabilities, these platform APIs may make use of CPU parallelism, general-purpose GPU, or dedicated hardware accelerators for machine learning. The WebNN API provides performance adaptation options but remains hardware agnostic.
When running on GPUs, WebNN currently supports the following models:
Stable Diffusion Turbo
Stable Diffusion 1.5
Whisper-base
MobileNetv2
Segment Anything
ResNet
EfficientNet
SqueezeNet
WebNN also works with custom models as long as operator support is sufficient. Check status of operators here.
Advantages of WebNN:
WebNN API provides the following benefits:
Performance Optimizations – By utilizing DirectML, WebNN helps to enable web apps and frameworks to take advantage of the best available hardware and software optimizations for each platform and device, without requiring complex and platform-specific code.
Low Latency – In-browser inference helps enable novel use cases with local media sources, such as real-time video analysis, face detection, and speech recognition, without the need to send data to remote servers and wait for responses.
Privacy Preservation – User data stays on-device and preserves user-privacy, as web apps and frameworks do not need to upload sensitive or personal information to cloud services for processing.
High Availability – No reliance on the network after initial asset caching for offline case, as web apps and frameworks can run neural network models locally even when the internet connection is unavailable or unreliable.
Low Server Cost – Computing on client devices means no servers needed, which helps web apps to reduce the operational and maintenance costs of running AI/ML services in the cloud.
Opportunities and Future:
Edge AI: WebNN enables AI-powered web apps without relying on cloud services.
Interactive Experiences: Real-time interactions, AR filters, and personalized content.
Privacy-First AI: WebNN promotes privacy by keeping data local.
Standardization: Wider adoption and improved APIs.
Installation Guide
To get started with WebNN, follow these steps:
Browser Compatibility:
WebNN requires a compatible browser. Download the Microsoft Edge Dev channel version or later.
To enable WebNN, in your browser address bar, enter about://flags, and then press Enter. An Experiments page opens
In the Search flags box, enter webnn. Enables WebNN API appears
In the drop-down menu, select Enabled
Relaunch your browser
GitHub Repository:
Clone the WebNN Developer Preview repository to your local machine.
Navigate to the repository and explore the provided samples and examples.
The WebNN API is an emerging web standard that allows web apps and frameworks to accelerate deep neural networks with GPUs, CPUs, or purpose-built AI accelerators such as NPUs. As we look to the future, it’s clear that WebNN is set to play a pivotal role in shaping the next generation of web development. Its promise of seamless AI integration, exceptional performance, and broad industry support makes it an exciting development to watch. Stay tuned as we continue to follow the evolution of WebNN and its impact on the digital world.
In summary, WebNN bridges the gap between AI and the web, making intelligent applications accessible to everyone. As it evolves, we can expect even more exciting developments in the intersection of AI and web technologies.
Remember, the future of AI is right in your browser! :robot_face::globe_with_meridians:
For more details, explore the WebNN Developer Preview website.
Additional Links & references:
WebNN Developer Preview (microsoft.github.io)
WebNN tutorial | Microsoft Learn
WebNN | Web Machine Learning
What is WebNN?
Web Neural Network API (WebNN) is a JavaScript API that empowers web developers to perform machine learning computations on neural networks directly within web applications. It simplifies the integration of machine learning models into web apps, opening up new possibilities for interactive experiences and intelligent applications right in the browser.
WebNN is primarily designed for inference tasks rather than training. It provides an abstraction layer for efficient neural network inference acceleration in web applications. The Web Neural Network API (WebNN) is a web-friendly, hardware-agnostic abstraction layer for neural network inference acceleration. It allows web applications to efficiently run machine learning computations on various devices, including CPUs, GPUs, and dedicated AI accelerators1. Developers can leverage WebNN to perform inference tasks in web applications, benefiting from reduced latency, enhanced privacy, and GPU acceleration. If you’re interested in constructing and executing computational graphs of neural networks in the browser, WebNN provides a high-level interface for these tasks. As of now, WebNN is available in Edge and Chrome browsers.
With emerging ML innovations in both software and hardware ecosystem, one of the main challenges for the web is to bridge this software and hardware development and bring together a solution that scales across hardware platforms and works with any framework for web-based machine learning experiences. We propose the WebNN API as an abstraction for neural networks in the web browsers.
As illustrated in the architecture diagram of the figure above, web browsers may implement the WebNN API using native machine learning API available in the operating system. This architecture allows JavaScript frameworks to tap into cutting-edge machine learning innovations in the operating system and the hardware platform underneath it without being tied to platform-specific capabilities, bridging the gap between software and hardware through a hardware-agnostic abstraction layer.
The following code sample illustrates a simple usage of this API.
Use Cases
WebNN offers several use cases for web applications. Here are some common scenarios where WebNN can be beneficial:
Face Recognition: Face Landmark (SimpleCNN) with WebNN.
Facial Landmark Detection: Use WebNN to detect facial landmarks, which can be useful for applications like augmented reality filters or emotion analysis.
Image Classification: Leverage WebNN for image classification tasks. You can demonstrate this using pre-trained models and the WebNN API.
Object Detection: Perform object detection in web applications by utilizing WebNN with pre-trained models.
Noise Suppression: Implement noise suppression models (e.g., RNNoise) using WebNN for audio processing,
Selfie Segmentation: Explore MediaPipe Selfie Segmentation using TFLite Web XNNPACK delegate and WebNN delegate for real-time background removal in selfies.
Semantic Segmentation: Use WebNN to implement semantic segmentation tasks, such as identifying object boundaries in images.
Style Transfer: Apply artistic style-transfer techniques to images using WebNN.
Remember that WebNN simplifies neural network inference in the browser, making it more accessible for web developers.
Target hardware
Web applications and frameworks can target typical computing devices on popular operating systems that people use in their daily lives. Initial prototypes demonstrate respectable performance on:
Smartphones e.g. Google Pixel 3 or similar
Laptops e.g. 13″ MacBook Pro 2015 or similar
The WebNN API is not tied to specific platforms and is implementable by existing major platform APIs, such as:
Android Neural Networks API
Windows DirectML API
macOS/iOS ML Compute API
Depending on the underlying hardware capabilities, these platform APIs may make use of CPU parallelism, general-purpose GPU, or dedicated hardware accelerators for machine learning. The WebNN API provides performance adaptation options but remains hardware agnostic.
When running on GPUs, WebNN currently supports the following models:
Stable Diffusion Turbo
Stable Diffusion 1.5
Whisper-base
MobileNetv2
Segment Anything
ResNet
EfficientNet
SqueezeNet
WebNN also works with custom models as long as operator support is sufficient. Check status of operators here.
Advantages of WebNN:
WebNN API provides the following benefits:
Performance Optimizations – By utilizing DirectML, WebNN helps to enable web apps and frameworks to take advantage of the best available hardware and software optimizations for each platform and device, without requiring complex and platform-specific code.
Low Latency – In-browser inference helps enable novel use cases with local media sources, such as real-time video analysis, face detection, and speech recognition, without the need to send data to remote servers and wait for responses.
Privacy Preservation – User data stays on-device and preserves user-privacy, as web apps and frameworks do not need to upload sensitive or personal information to cloud services for processing.
High Availability – No reliance on the network after initial asset caching for offline case, as web apps and frameworks can run neural network models locally even when the internet connection is unavailable or unreliable.
Low Server Cost – Computing on client devices means no servers needed, which helps web apps to reduce the operational and maintenance costs of running AI/ML services in the cloud.
Opportunities and Future:
Edge AI: WebNN enables AI-powered web apps without relying on cloud services.
Interactive Experiences: Real-time interactions, AR filters, and personalized content.
Privacy-First AI: WebNN promotes privacy by keeping data local.
Standardization: Wider adoption and improved APIs.
Installation Guide
To get started with WebNN, follow these steps:
Browser Compatibility:
WebNN requires a compatible browser. Download the Microsoft Edge Dev channel version or later.
To enable WebNN, in your browser address bar, enter about://flags, and then press Enter. An Experiments page opens
In the Search flags box, enter webnn. Enables WebNN API appears
In the drop-down menu, select Enabled
Relaunch your browser
GitHub Repository:
Clone the WebNN Developer Preview repository to your local machine.
Navigate to the repository and explore the provided samples and examples.
The WebNN API is an emerging web standard that allows web apps and frameworks to accelerate deep neural networks with GPUs, CPUs, or purpose-built AI accelerators such as NPUs. As we look to the future, it’s clear that WebNN is set to play a pivotal role in shaping the next generation of web development. Its promise of seamless AI integration, exceptional performance, and broad industry support makes it an exciting development to watch. Stay tuned as we continue to follow the evolution of WebNN and its impact on the digital world.
In summary, WebNN bridges the gap between AI and the web, making intelligent applications accessible to everyone. As it evolves, we can expect even more exciting developments in the intersection of AI and web technologies.
Remember, the future of AI is right in your browser! :robot_face::globe_with_meridians:
For more details, explore the WebNN Developer Preview website.
Additional Links & references:
WebNN Developer Preview (microsoft.github.io)
WebNN tutorial | Microsoft Learn
WebNN | Web Machine Learning
Help Needed: Exporting Azure Sign-In Logs Without Incurring Costs
Hi everyone,
I’m a complete novice when it comes to Azure and PowerShell, and I need some help with exporting sign-in logs from Azure. Recently, I attempted to use PowerShell to fetch these logs but encountered an error that I don’t fully understand. Here’s the error message I received:
Import-Module : Function Get-MgEntitlementManagementAssignmentPolicy cannot be created because function capacity 4096 has been exceeded for this scope.
From my understanding, this error is related to a limitation in PowerShell regarding the number of functions that can be loaded in a session. My main concern is whether this or my attempts to fetch sign-in logs could result in unexpected charges on my Azure account.
Here are the specific questions I have:
Does using PowerShell to fetch Azure sign-in logs incur any costs?Is the error message I encountered indicative of any charges, or is it solely a PowerShell limitation?What is the best way to fetch sign-in logs without exceeding PowerShell’s function capacity and without incurring additional costs?
I would appreciate any advice or guidance on how to proceed safely. I’m eager to learn but want to ensure I don’t inadvertently rack up costs.
Thank you in advance for your help!
Hi everyone,I’m a complete novice when it comes to Azure and PowerShell, and I need some help with exporting sign-in logs from Azure. Recently, I attempted to use PowerShell to fetch these logs but encountered an error that I don’t fully understand. Here’s the error message I received:Import-Module : Function Get-MgEntitlementManagementAssignmentPolicy cannot be created because function capacity 4096 has been exceeded for this scope.From my understanding, this error is related to a limitation in PowerShell regarding the number of functions that can be loaded in a session. My main concern is whether this or my attempts to fetch sign-in logs could result in unexpected charges on my Azure account.Here are the specific questions I have:Does using PowerShell to fetch Azure sign-in logs incur any costs?Is the error message I encountered indicative of any charges, or is it solely a PowerShell limitation?What is the best way to fetch sign-in logs without exceeding PowerShell’s function capacity and without incurring additional costs?I would appreciate any advice or guidance on how to proceed safely. I’m eager to learn but want to ensure I don’t inadvertently rack up costs. Thank you in advance for your help! Read More
2 different legend on the same graph for the same data
I have a code which generates 2 plots with the same y-axes and x-axes values (see attached figures).
how can I plot only one figure but with the two different legends ?
attached below is my first plot code. the second code lines are similar but they create new plot and the new legend.
10x in advance,
Irad
for j=1:dpointsnum
plot(totxdata,totydata1(j,:),’linestyle’,getprop(lines,1),…
‘Color’,getprop(colors,j)); hold on;
end
grid(gca,’minor’);
xlabel(‘ncdotM’,’FontName’,’Arial’,’FontWeight’,’bold’,’FontSize’,12);
ylabel(‘Ductility ratio, mu’, FontSize=12,FontWeight=’bold’,FontName=’Arial’);
nLeg = legend(Leg); %adding legend entries to the plot
nLeg.Title.String = {‘Scaled distance’;'[m/kg^{1/3}]’}; %adding title to the lgenedI have a code which generates 2 plots with the same y-axes and x-axes values (see attached figures).
how can I plot only one figure but with the two different legends ?
attached below is my first plot code. the second code lines are similar but they create new plot and the new legend.
10x in advance,
Irad
for j=1:dpointsnum
plot(totxdata,totydata1(j,:),’linestyle’,getprop(lines,1),…
‘Color’,getprop(colors,j)); hold on;
end
grid(gca,’minor’);
xlabel(‘ncdotM’,’FontName’,’Arial’,’FontWeight’,’bold’,’FontSize’,12);
ylabel(‘Ductility ratio, mu’, FontSize=12,FontWeight=’bold’,FontName=’Arial’);
nLeg = legend(Leg); %adding legend entries to the plot
nLeg.Title.String = {‘Scaled distance’;'[m/kg^{1/3}]’}; %adding title to the lgened I have a code which generates 2 plots with the same y-axes and x-axes values (see attached figures).
how can I plot only one figure but with the two different legends ?
attached below is my first plot code. the second code lines are similar but they create new plot and the new legend.
10x in advance,
Irad
for j=1:dpointsnum
plot(totxdata,totydata1(j,:),’linestyle’,getprop(lines,1),…
‘Color’,getprop(colors,j)); hold on;
end
grid(gca,’minor’);
xlabel(‘ncdotM’,’FontName’,’Arial’,’FontWeight’,’bold’,’FontSize’,12);
ylabel(‘Ductility ratio, mu’, FontSize=12,FontWeight=’bold’,FontName=’Arial’);
nLeg = legend(Leg); %adding legend entries to the plot
nLeg.Title.String = {‘Scaled distance’;'[m/kg^{1/3}]’}; %adding title to the lgened plot, multipl legends MATLAB Answers — New Questions
SOLUTION: New Outlook removed “switch back to old outlook” button.
This is for anyone else who no longer sees the button to switch back to the old outlook. I have included step by step photos to get back to the old outlook!
First click “Help” at the top left.
Below “Help” should bring up another menu, now select “Feedback”.
Now look to the very right and you should see the option to select a feedback option,
select “Report a problem”.
Now you should see a box where you can type what the problem is, make sure to clearly mention that you cannot switch back to the old outlook, the button is missing and you want to switch back to the old outlook, this is important because when you submit this answer it will scan your message and generate possible solutions.
Once you’ve filled out the box with your problem, scroll down, click yes or no on both options (it doesn’t matter what you choose but you need to select an answer for both), then click “Submit” at the bottom.
It will diagnose the problem and match you up with one or more possible solutions, make sure you see this one below that says “toggling out of the new outlook for windows preview”, DO NOT CLICK “Yes” AT THE BOTTOM or it will end the feedback and assume you got your answer and you will need to restart this process. Instead you need to click on the arrow that is circled in this picture.
Freedom awaits, now click on “Do it for me” and it will automatically take you back to the old outlook. Congratulations! You’ve graduated from this circus of chaos and confusion. Farewell, and may your future endeavors be as comforting and delightful as a slice of warm, homemade buttered bread.
This is for anyone else who no longer sees the button to switch back to the old outlook. I have included step by step photos to get back to the old outlook! First click “Help” at the top left. Below “Help” should bring up another menu, now select “Feedback”. Now look to the very right and you should see the option to select a feedback option,select “Report a problem”. Now you should see a box where you can type what the problem is, make sure to clearly mention that you cannot switch back to the old outlook, the button is missing and you want to switch back to the old outlook, this is important because when you submit this answer it will scan your message and generate possible solutions. Once you’ve filled out the box with your problem, scroll down, click yes or no on both options (it doesn’t matter what you choose but you need to select an answer for both), then click “Submit” at the bottom. It will diagnose the problem and match you up with one or more possible solutions, make sure you see this one below that says “toggling out of the new outlook for windows preview”, DO NOT CLICK “Yes” AT THE BOTTOM or it will end the feedback and assume you got your answer and you will need to restart this process. Instead you need to click on the arrow that is circled in this picture. Freedom awaits, now click on “Do it for me” and it will automatically take you back to the old outlook. Congratulations! You’ve graduated from this circus of chaos and confusion. Farewell, and may your future endeavors be as comforting and delightful as a slice of warm, homemade buttered bread. Read More
How to Cancel the Capcut Pro Membership
Like many other video editors, are you getting used to the Capcut user interface or running out of money and unable to afford the Pro version of Capcut? If you have subscribed to the Pro version of Capcut and are looking for a guide on “How to cancel the Capcut pro subscription”. Then you must visit my site as i have published a full detailed article on it. It’s a very easy step by step guide to cancel the capcut subscription.
Like many other video editors, are you getting used to the Capcut user interface or running out of money and unable to afford the Pro version of Capcut? If you have subscribed to the Pro version of Capcut and are looking for a guide on “How to cancel the Capcut pro subscription”. Then you must visit my site as i have published a full detailed article on it. It’s a very easy step by step guide to cancel the capcut subscription. Read More
How can i remove mcafee from protection preference when i had uninstalled it
i got my new laptop around 2 days ago and it had mcafee installed when i signed in,it had expired plan and then i has having some troubles and uninstalled the whole mcafee software from apps settings. now when i try to enable the real time protection for windows defender it shows you are using other antivirus providers which i had uninstalled but is in the preference in the security setting. what should i do?
i got my new laptop around 2 days ago and it had mcafee installed when i signed in,it had expired plan and then i has having some troubles and uninstalled the whole mcafee software from apps settings. now when i try to enable the real time protection for windows defender it shows you are using other antivirus providers which i had uninstalled but is in the preference in the security setting. what should i do? Read More
DC CURRENT LIMITATION IN FOC OF PMSM
I am trying to simulate vector control of pmsm .The id iq PI takes care of the phase currents.I need to limit power also without using a PI because I already have speed PI and another PI used for FLUX weakeaning (voltage regulation based).So if have to implement it in hardware there would be 5 PI if i use a PI for DC current which is undesirable as my MCU is not that powerful.Is there any other logic to implement DC current limiting without using a PI in FOC of PMSMI am trying to simulate vector control of pmsm .The id iq PI takes care of the phase currents.I need to limit power also without using a PI because I already have speed PI and another PI used for FLUX weakeaning (voltage regulation based).So if have to implement it in hardware there would be 5 PI if i use a PI for DC current which is undesirable as my MCU is not that powerful.Is there any other logic to implement DC current limiting without using a PI in FOC of PMSM I am trying to simulate vector control of pmsm .The id iq PI takes care of the phase currents.I need to limit power also without using a PI because I already have speed PI and another PI used for FLUX weakeaning (voltage regulation based).So if have to implement it in hardware there would be 5 PI if i use a PI for DC current which is undesirable as my MCU is not that powerful.Is there any other logic to implement DC current limiting without using a PI in FOC of PMSM dc current, foc, pmsm, powerlimit MATLAB Answers — New Questions
_api/search/query doesn’t seems to consider sourceid, siteid or webid or path querystring params
Hi Friends,
I am using SharePoint Online and I have 2 site collections. I am using the Search REST API and I would like to search only in one site collection. But the search is performed at tenant level always, though the sourceId or SiteId or WebId GUID or Path values are provided in the API request.
Site Collections
https://xxxx.SharePoint.com/sites/SC1
https://xxxx.SharePoint.com/sites/SC2
Search REST API query
I have tried below queries and all results returned data from SC2 as well.
_api/search/query?querytext=’1234’&siteId='[GUID of SC1]’_api/search/query?querytext=’1234’&sourceId='[GUID of SC1]’_api/search/query?querytext=’1234’&webId='[GUID of SC1]’_api/search/query?querytext=’1234’&path=’https://xxxx.SharePoint.com/sites/SC1‘
I am sending the query using Power Automate Flow.
Looking for help for fix.
Thanks
Anjan
Hi Friends,I am using SharePoint Online and I have 2 site collections. I am using the Search REST API and I would like to search only in one site collection. But the search is performed at tenant level always, though the sourceId or SiteId or WebId GUID or Path values are provided in the API request. Site Collectionshttps://xxxx.SharePoint.com/sites/SC1https://xxxx.SharePoint.com/sites/SC2 Search REST API queryI have tried below queries and all results returned data from SC2 as well._api/search/query?querytext=’1234’&siteId='[GUID of SC1]’_api/search/query?querytext=’1234’&sourceId='[GUID of SC1]’_api/search/query?querytext=’1234’&webId='[GUID of SC1]’_api/search/query?querytext=’1234’&path=’https://xxxx.SharePoint.com/sites/SC1’I am sending the query using Power Automate Flow. Looking for help for fix. ThanksAnjan Read More
Prevent Graph Bars from spilling on the 0 line when number is negative
Hi,
I’m using line graphs with a solid fill and a solid line to make the end rounded. The problem is when that when a number is negative, the solid line spills on the wrong side of the zero line.
Any way I could prevent that? Maybe delete that single blue line and leave the others ones that would hopefully be positive ? I’m pretty sure the problem is the solid line, but it’s the only way to get that rounded look I believe.
I’m using Excel version 2405 on windows. Office 365.
Thanks in advance !
Here is a picture
Hi,I’m using line graphs with a solid fill and a solid line to make the end rounded. The problem is when that when a number is negative, the solid line spills on the wrong side of the zero line. Any way I could prevent that? Maybe delete that single blue line and leave the others ones that would hopefully be positive ? I’m pretty sure the problem is the solid line, but it’s the only way to get that rounded look I believe. I’m using Excel version 2405 on windows. Office 365.Thanks in advance ! Here is a picture Read More
Grow with Copilot for Microsoft 365 – June 2024
Welcome to Grow with Copilot for Microsoft 365, where we curate key relevant news, insights, and resources to help small and medium organizations harness the power of Copilot.
In this edition, we take a deep dive into how small and medium-sized businesses are embracing AI in their everyday workflows despite the common hurdles SMB employees often encounter in adopting AI technologies. We also highlight Floww, a FinTech firm that capitalizes on Copilot for Microsoft 365 to boost operational efficiency and communications, discuss how Copilot is tackling the pressing issue of data security and privacy, and lastly, provide resources for the adoption of Copilot and best practices for skill development to help organizations fully leverage Copilot’s capabilities.
A deeper look at the state of AI in small & medium businesses
We are witnessing how AI is reshaping work for organizations of all sizes in last month’s 2024 Work Trend Index Annual Report. This month, we dove deeper into the report for findings specific to small and medium businesses.
From the study, leaders believe that the top three benefits being increasing employee productivity, accelerating growth and innovation, and automating and streamlining business. In addition, while 78% of SMB workers have used generative AI at work, even more so (+10 ppts) compared to large businesses, SMB workers face more challenges in AI adoption, either feeling more (+9 ppts) intimidated to learn how to use generative AI tools or (-5 ppts) having received any AI training at work.
As we continue to learn in our work with SMB customers, there is a path forward: identify a business problem and apply AI, integrate AI tools across your business, take a top down and bottoms up approach, and prioritize training. Read more from Brenna Robinson’s blog on Microsoft 365 as well as her interviews in Fortune magazine, Inc. magazine, and Entrepreneur magazine.
SMB Customer spotlight: Floww
Speaking of working with customers, we’d like to you to meet Floww, a fast-growing FinTech company with about 100 employees in the United Kingdom that has created a financial infrastructure platform that connects investors and innovators. Floww helps startups and scaleups find funding from angels, VCs, and other private equity investors, and helps investors manage their portfolios and collaborate with each other.
Floww uses Copilot for Microsoft 365 to improve efficiency and communications:
Copilot for Microsoft 365 process, analyze, and summarize large amounts of data from various sources, such as financial documents, regulatory compliance, and customer profiles. Copilot also helps Floww create mockups, draft policies, and share information with customers faster and easier.
Floww trusts Microsoft to ensure data security and compliance:
Floww works with sensitive data that requires high levels of security and compliance. Floww relies on Microsoft’s security tools and features to protect its data and maintain its ISO certification. Floww also values the trust that Microsoft provides for its customers and partners.
Check out the full customer story and other customer stories here.
How Copilot for Microsoft 365 delivers on data security and privacy
Like Floww, many customers have data privacy and compliance top of mind. It’s no wonder as research shows 82% of ransomware attacks are targeted at small and medium-sized businesses[1].
Our customers, when using Microsoft 365 for Business and Copilot for Microsoft 365, get peace of mind with the highest standards of data protection. Microsoft 365 for Business protects passwords, secure access, keep your business data safe, manage your devices so they stay secure, and defend your business against cyberthreats. You can learn more about our three subscriptions plans here. Additionally, as a Microsoft 365 for Business user, your Web-grounded AI chat in the browser, Outlook, M365 apps or Teams come with enterprise data protection to safeguard your business data and devices with integrated identity, security, compliance, device management, and privacy protection.
Now Copilot for Microsoft 365 also works with work & business data in the Microsoft 365 Graph – your emails, calendars, and documents you have access to. That is how it has the power to become your personal assistant at work, from recapping Teams meetings, to turning a Word document into a stunning PowerPoint. Here’s how Microsoft protects your data and gives you control over it.
Tenant Security
Copilot operates within the Microsoft 365 tenant, inheriting all the existing security, privacy, identity, and compliance requirements. It is built upon a foundation of trust, ensuring that organizational data is distinct and separate from other tenants. Watch this video to learn more about how Copilot is built upon a foundation of trust.
Data Defense
Data is considered the customer’s business, and Copilot respects the customer’s control over its collection, use, and distribution. It ensures that data is stored, encrypted, processed, and defended to the highest standards. Further, we don’t use your customer data to train foundation models, and Copilot adheres to existing data permissions and policies, and its responses to you based only on data that you personally can access. Watch the following video to learn how data is stored, encrypted, processed, and defended.
Azure OpenAI Service
Interactions with Copilot (prompts) are processed using Azure OpenAI services, which prioritize the integrity and protection of your organizational data. Watch this video for a deeper understanding of how Azure OpenAI services power Copilot while prioritizing data integrity.
For all the latest updates and deep dive information start at Microsoft Copilot for Microsoft 365 documentation | Microsoft Learn and aka.ms/copilotlab to learn more about how to use Copilot. Find adoption and skilling best practices at adoption.microsoft.com
[1] FBI Releases the Internet Crime Complaint Center 2021 Internet Crime Report, FBI. March 22, 2022.
More highlights: Build, Mechanics, new Partner resources
Last month, Microsoft Build 2024 had over 3000 in-person attendees in Seattle and over 200K+ virtual attendees. We announced exciting news across the company, but one not-to-be-missed for SMB is Team Copilot. Available as preview later in this calendar year, Team Copilot expands Copilot beyond a personal assistant to work on behalf of a team, improving collaboration and project management. Read Jared Spataro’s blog for how it works as well as other news in Copilot for Microsoft 365. Watch the 90-Second Recap: Satya Nadella’s Keynote if you want to get all the news announced across Microsoft.
Not to be missed: the top two Copilot videos in Microsoft Mechanics, the Microsoft official video programming to teach you how to apply Microsoft innovation to the work you do every day, explain how Copilot for Microsoft 365 works and how to get ready for Copilot in three simple set up steps.
If you are one of our CSPs, we recently launched new partner led adoption immersion experience – consisting of new click-through demos for Sales, Marketing HR, Exec personas (with more coming soon), facilitator guide to deliver this in a workshop, and participate guide for end users to follow along. Check here for the entirety of the content: aka.ms/CopilotImmersionCSPLed .Go here to quickly access the full list of demos: aka.ms/CopilotImmersion/DemosList.
That’s it for this edition! Thank you for reading. Let us know in the comments how you use Copilot for Microsoft 365 to grow your business!
Microsoft Tech Community – Latest Blogs –Read More
How to use roialignLayer in the network?
https://ww2.mathworks.cn/matlabcentral/answers/1965924-use-roialign-layer-in-a-fastrcnn-network
Hello, I encountered a similar issue as in the link while using roialignLayer.The error displayed on my network is:
Input size mismatch.Size of input to this layer is different from the expected input size.Inputs to this layer:
from layer"activation_40_relu"(size 14(S)× 14(S)× 1024(C)× 1(B))
from layer "regionProposal" (size 1(S)×5(C)×1(B))
Can someone tell me how to modify the network or provide an example of successfully using roialignLayer?
Thank you very much, the network has provided.https://ww2.mathworks.cn/matlabcentral/answers/1965924-use-roialign-layer-in-a-fastrcnn-network
Hello, I encountered a similar issue as in the link while using roialignLayer.The error displayed on my network is:
Input size mismatch.Size of input to this layer is different from the expected input size.Inputs to this layer:
from layer"activation_40_relu"(size 14(S)× 14(S)× 1024(C)× 1(B))
from layer "regionProposal" (size 1(S)×5(C)×1(B))
Can someone tell me how to modify the network or provide an example of successfully using roialignLayer?
Thank you very much, the network has provided. https://ww2.mathworks.cn/matlabcentral/answers/1965924-use-roialign-layer-in-a-fastrcnn-network
Hello, I encountered a similar issue as in the link while using roialignLayer.The error displayed on my network is:
Input size mismatch.Size of input to this layer is different from the expected input size.Inputs to this layer:
from layer"activation_40_relu"(size 14(S)× 14(S)× 1024(C)× 1(B))
from layer "regionProposal" (size 1(S)×5(C)×1(B))
Can someone tell me how to modify the network or provide an example of successfully using roialignLayer?
Thank you very much, the network has provided. deep learning, computer vision MATLAB Answers — New Questions
Is the “kinematicTrajectory” function correct for calculating angular velocity?
Hello there,
I noticed that the “kinematicTrajectory” function calculates angular velocity from the body frame to the earth frame using the “rotatepoint” function. The “rotatepoint” function can be formulated with the Rzyx rotation matrix.
where is roll, is pitch, is yaw.
However, some papers [1] and references [2] use the transfer matrix T.
Does anyone know which is correct?
[1] Emran, Bara J., and Homayoun Najjaran. "A review of quadrotor: An underactuated mechanical system." Annual Reviews in Control 46 (2018): 165-180.
[2] KINEMATICS OF MOVING FRAMES. [Online]. Available: https://ocw.mit.edu/courses/2-017j-design-of-electromechanical-robotic-systems-fall-2009/0da9fb3965410fd50979bb179b56805a_MIT2_017JF09_ch09.pdf.Hello there,
I noticed that the “kinematicTrajectory” function calculates angular velocity from the body frame to the earth frame using the “rotatepoint” function. The “rotatepoint” function can be formulated with the Rzyx rotation matrix.
where is roll, is pitch, is yaw.
However, some papers [1] and references [2] use the transfer matrix T.
Does anyone know which is correct?
[1] Emran, Bara J., and Homayoun Najjaran. "A review of quadrotor: An underactuated mechanical system." Annual Reviews in Control 46 (2018): 165-180.
[2] KINEMATICS OF MOVING FRAMES. [Online]. Available: https://ocw.mit.edu/courses/2-017j-design-of-electromechanical-robotic-systems-fall-2009/0da9fb3965410fd50979bb179b56805a_MIT2_017JF09_ch09.pdf. Hello there,
I noticed that the “kinematicTrajectory” function calculates angular velocity from the body frame to the earth frame using the “rotatepoint” function. The “rotatepoint” function can be formulated with the Rzyx rotation matrix.
where is roll, is pitch, is yaw.
However, some papers [1] and references [2] use the transfer matrix T.
Does anyone know which is correct?
[1] Emran, Bara J., and Homayoun Najjaran. "A review of quadrotor: An underactuated mechanical system." Annual Reviews in Control 46 (2018): 165-180.
[2] KINEMATICS OF MOVING FRAMES. [Online]. Available: https://ocw.mit.edu/courses/2-017j-design-of-electromechanical-robotic-systems-fall-2009/0da9fb3965410fd50979bb179b56805a_MIT2_017JF09_ch09.pdf. kinematictrajectory, rotation matrix, issue MATLAB Answers — New Questions
how to fill color in 1/4 th circle
clear
syms x
figure
fun = sqrt(2*x-x.^2);
fplot(fun,[0,2.2]);
hold on
y1 = [0 1 0 0];
x1 = [0 1 1 0];
fill(x1,y1,’y’);
hold on
x2 = 1:0.01:2;
y2 = sqrt(2*x2-x2.^2);
fill([x2,fliplr(x2)],[y2,fliplr(y2)],’r’)clear
syms x
figure
fun = sqrt(2*x-x.^2);
fplot(fun,[0,2.2]);
hold on
y1 = [0 1 0 0];
x1 = [0 1 1 0];
fill(x1,y1,’y’);
hold on
x2 = 1:0.01:2;
y2 = sqrt(2*x2-x2.^2);
fill([x2,fliplr(x2)],[y2,fliplr(y2)],’r’) clear
syms x
figure
fun = sqrt(2*x-x.^2);
fplot(fun,[0,2.2]);
hold on
y1 = [0 1 0 0];
x1 = [0 1 1 0];
fill(x1,y1,’y’);
hold on
x2 = 1:0.01:2;
y2 = sqrt(2*x2-x2.^2);
fill([x2,fliplr(x2)],[y2,fliplr(y2)],’r’) xy MATLAB Answers — New Questions
警告: 在读取工作表 2016 时发生错误:未定义与 ‘Interface.00020846_0000_0000_C000_000000000046’ 类型的输入参数相对应的函数 ‘Select’。 警告: 在读取工作表 2017 时发生错误:未定义与 ‘Interface.00020846_0000_0000_C000_000000000046
clc
clear
% 让用户选择要读取的 Excel 文件
[filename, pathname] = uigetfile({‘*.xls;*.xlsx’,’Excel Files (*.xls, *.xlsx)’},’选择要读取的Excel文件’);
% 检查用户是否取消了选择
if isequal(filename,0)
disp(‘用户取消了文件选择’);
return;
end
% 构造完整的文件路径
fullfile = fullfile(pathname, filename);
% 获取 Excel 文件中的所有工作表信息
[~,sheets] = xlsfinfo(fullfile);
% 创建一个单元格数组来存储所有工作表的数据
all_data = cell(length(sheets), 1);
% 逐个读取每个工作表的数据
for i = 1:length(sheets)
try
data = xlsread(fullfile, sheets{i});
all_data{i} = data;
catch exception
warning([‘在读取工作表 ‘, sheets{i}, ‘ 时发生错误:’, exception.message]);
end
end
% 显示每个工作表的数据大小
for i = 1:length(sheets)
if ~isempty(all_data{i})
disp([‘工作表名:’, sheets{i}, ‘,数据大小:’, num2str(size(all_data{i}))]);
end
endclc
clear
% 让用户选择要读取的 Excel 文件
[filename, pathname] = uigetfile({‘*.xls;*.xlsx’,’Excel Files (*.xls, *.xlsx)’},’选择要读取的Excel文件’);
% 检查用户是否取消了选择
if isequal(filename,0)
disp(‘用户取消了文件选择’);
return;
end
% 构造完整的文件路径
fullfile = fullfile(pathname, filename);
% 获取 Excel 文件中的所有工作表信息
[~,sheets] = xlsfinfo(fullfile);
% 创建一个单元格数组来存储所有工作表的数据
all_data = cell(length(sheets), 1);
% 逐个读取每个工作表的数据
for i = 1:length(sheets)
try
data = xlsread(fullfile, sheets{i});
all_data{i} = data;
catch exception
warning([‘在读取工作表 ‘, sheets{i}, ‘ 时发生错误:’, exception.message]);
end
end
% 显示每个工作表的数据大小
for i = 1:length(sheets)
if ~isempty(all_data{i})
disp([‘工作表名:’, sheets{i}, ‘,数据大小:’, num2str(size(all_data{i}))]);
end
end clc
clear
% 让用户选择要读取的 Excel 文件
[filename, pathname] = uigetfile({‘*.xls;*.xlsx’,’Excel Files (*.xls, *.xlsx)’},’选择要读取的Excel文件’);
% 检查用户是否取消了选择
if isequal(filename,0)
disp(‘用户取消了文件选择’);
return;
end
% 构造完整的文件路径
fullfile = fullfile(pathname, filename);
% 获取 Excel 文件中的所有工作表信息
[~,sheets] = xlsfinfo(fullfile);
% 创建一个单元格数组来存储所有工作表的数据
all_data = cell(length(sheets), 1);
% 逐个读取每个工作表的数据
for i = 1:length(sheets)
try
data = xlsread(fullfile, sheets{i});
all_data{i} = data;
catch exception
warning([‘在读取工作表 ‘, sheets{i}, ‘ 时发生错误:’, exception.message]);
end
end
% 显示每个工作表的数据大小
for i = 1:length(sheets)
if ~isempty(all_data{i})
disp([‘工作表名:’, sheets{i}, ‘,数据大小:’, num2str(size(all_data{i}))]);
end
end 表格中的数据就是缺失的 MATLAB Answers — New Questions
How to add math symbols to Live Script text?
Some five years ago, I used Matlab as a handy "math typewriter": it was easy to insert symbols to text without remembering their LaTeX keywords. I just opened a dropdown list and picked what I needed.
Now, I have installed Matlab R2023b to my new laptop, and I can not find that functionality any more.
Is it still there, and I’m just not able to find it?
Or, has it been removed, and I’b better just learn my LaTeX?
Or, should I install some extra library to get is working again?
Or, could I return to the old Matlab version (maybe Matlab 2018 or something like this)?Some five years ago, I used Matlab as a handy "math typewriter": it was easy to insert symbols to text without remembering their LaTeX keywords. I just opened a dropdown list and picked what I needed.
Now, I have installed Matlab R2023b to my new laptop, and I can not find that functionality any more.
Is it still there, and I’m just not able to find it?
Or, has it been removed, and I’b better just learn my LaTeX?
Or, should I install some extra library to get is working again?
Or, could I return to the old Matlab version (maybe Matlab 2018 or something like this)? Some five years ago, I used Matlab as a handy "math typewriter": it was easy to insert symbols to text without remembering their LaTeX keywords. I just opened a dropdown list and picked what I needed.
Now, I have installed Matlab R2023b to my new laptop, and I can not find that functionality any more.
Is it still there, and I’m just not able to find it?
Or, has it been removed, and I’b better just learn my LaTeX?
Or, should I install some extra library to get is working again?
Or, could I return to the old Matlab version (maybe Matlab 2018 or something like this)? live script, mathematical symbols, text MATLAB Answers — New Questions