Microsoft Office - Science topic

Thanks so much.

Dear Mr. Ismail Oyebanji Ajibade , thank you for your interest.

Bellow is another opportunity from the same recruiter which I believe is more adequate for your expertise:

Title- Scientific Review Administrator Duration – 12+months (extension) Location – Bethesda, MD Work Details:

Additional Qualifications: Field of Study:

Kindly email me your resume in Word format at pedropaulogattaigomes@gmail.com

Please, include in your email message for my email the answers for the following questions: Hourly Rate __________ (Please mention) Earliest availability for the assignment: Earliest availability for the Interview: Current location: Are you ready to relocate? Preferred contact number:

Best

Pedro

It is possible to estimate pore pressure, fracture gradient, and mud weight window using only Microsoft Excel. Here's a general approach:

1. Collect the necessary data: You will need well log data (such as resistivity, sonic, and density logs) and drilling data (such as formation depths, mud weight, and drilling fluid properties) for the well you are analyzing.

2. Create a new Excel spreadsheet and enter the data into the appropriate cells. Organize the data into columns and label each column with a descriptive heading.

3. Calculate the pore pressure using one of several methods, such as the Eaton method or the Bowers method. These methods use different equations to estimate pore pressure based on well log data. You can find these equations online or in textbooks on well logging and formation evaluation. Here's an example of how to use the Eaton method:

- Calculate the normal compaction trend line for the formation using the density log and the depth values.

- Calculate the overburden pressure using the normal compaction trend line and the depth values.

- Calculate the effective stress using the overburden pressure and the pore pressure.

- Use the resistivity log to estimate the water saturation.

- Use the estimated water saturation and the effective stress to calculate the pore pressure using the Eaton equation.

4. Calculate the fracture gradient using the Eaton or Matthews-Kelly methods. These methods use different equations to estimate the fracture gradient based on the pore pressure and other well data. Here's an example of how to use the Eaton method:

- Calculate the minimum horizontal stress using the pore pressure, the density log, and the depth values.

- Calculate the maximum horizontal stress using the minimum horizontal stress and a stress ratio (which can be estimated based on the formation properties).

- Calculate the fracture gradient using the maximum horizontal stress and a safety factor (which can be based on the drilling conditions and the experience of the drillers).

5. Calculate the mud weight window by subtracting the pore pressure from the fracture gradient. This will give you the range of mud weights that can be safely used for drilling.

6. Visualize the data and results using graphs and charts. You can create plots of the well log data, the pore pressure, the fracture gradient, and the mud weight window to help you analyze the data and make decisions about drilling operations.

Note that these are just general steps and there may be other factors to consider depending on the specific well and formation being analyzed. It's also important to note that the accuracy of the estimates will depend on the quality and accuracy of the data used.

Hope it helps!!

Credit: mainly AI Tools

I'd do this in R. It's free and sufficiently powerful to hande such tables with ease.

See www.r-project.org.

This could be an example work-flow (assuming you have a file named "my_huge_file.txt" which is a tab-delimited text file with many rows and a header row that contains the texts "ID", "value", "name" and "amount" [just for example!] as column names):

# read the file into a data.frame:

df <- read.delim("my_huge_file.txt")

# sort the rows by values in the column "name", then "value":

df <- df[order(df$name, df$value), ]

# remove all rows with dupplicate entries in the column "ID":

df <- df[!duplicated(df$ID), ]

# get the 5 rows with the largest values in the column "amount":

o <- order(df$amount, decreasing = TRUE)[1:5]

df <- df[o, ]

# getting the mean of the values in the colum "value"

# by each value in the column "name":

tapply(df$value, INDEX = df$name, FUN = mean)

Again, how do you solve the compatibility problem between LibreOffice and Microsoft Office?

It looks that there are plugins built inside Moodle for the Microsoft Team appl., Prof. Muhammet Yasar Ozden

However, I have not personal experience with it, please follow these external Moodle posts:

https://moodle.org/plugins/atto_teamsmeeting

Best Regards.

There are some free on-line services for splitting large files, why not to try with that... Next, I did a small Python recipe to split text file of any size into multiple chunks:

Dear Hadi

Actually I like using draw.io

Full link: https://www.draw.io/

I have a list of build-in templates and tools for different aspects.

The main advantage is the ability to save the diagrams as pdf files.

I prefer to use Grammarly service...

Hi Mustafa Germeç,

Could you explain a bit more what you mean by "failed the calculations"?

There are several reasons why it may fail. One of them is that the Excel solver is not the most efficient method for parameter estimation. If that's the case, the use of the tools suggested by Wiaslan Figueiredo Martins would help.

A second possible reason is that the model is not suitable to describe your data. The Baranyi and Huang growth models are usually used for microbial growth, but you mention that you are studying enzyme activity. I am not familiar with that particular field, but if your data does not have a sigmoid shape, neither the Baranyi nor the Huang model will be able to describe the data.

A third reason could be parameter identifiability. It is possible that the model is suitable for your data, but the quality/quantity of your data is not enough to estimate every model parameter. A typical example is when you are trying to fit the model but your data did not reach the stationary phase. In that case, the parameter describing the carrying capacity (ymax in Baranyi) cannot be estimated.

Parameter identifiability is a rather complex topic. There is a very nice article by Vilaes et al. where they make a comprehensible description, describing common pitfalls and how to avoid them:

As a summary, before trying to just fit the model with the online tools, I would make sure that the model is suitable to describe the data and that your data is good enough to estimate the model.

Alberto

Contact details pls

You are simply telling us your CV definetely but not a question.Thanks thou.

You can download the latest version of Visual Studio for Linux from :

1. Download the .deb installer from the above link

2. Open terminal (Ctrl+Alt+T)

3. Navigate to the directory where you downloaded the .deb file. (Use cd command)

3. Use the following command to install (the version you download might be different or 32 bit (use the correct file name))

sudo dpkg -i code_1.19.1-1513676564_amd64.deb

4. Then enter this command (in case some dependencies are missing this will fix)

sudo apt-get install -f

it can be considered for the people who are involved in practical classes or labs.

Hi Marife,

You can see this video for more details

Regards,

Sameh Mtibaa

dear researcher

A basic spell checker carries out the following processes:

It scans the text and extracts the words contained in it

It then compares each word with a known list of correctly spelled words (i.e. a dictionary). This might contain just a list of words, or it might also contain additional information, such as hyphenation points or lexical and grammatical attributes.

An additional step is a language-dependent algorithm for handling morphology. Even for a lightly inflected language like English, the spell-checker will need to consider different forms of the same word, such as plurals, verbal forms, contractions, andpossessives. For many other languages, such as those featuring agglutination and more complex declension and conjugation, this part of the process is more complicated.

different rules applied are

In-line Spell Checking

In-line Grammar Checking

Manual Spell and Grammar Checking

Regards

Yes, Sure. Attached is the link to McCarl GAMS User Guide where you can find an example related to transportation problem in which GAMS is being called from Excel and solves the problem in background.

Sure @Balamurugan, I made a sample for you, as you have to tell the user that a cell should contain time that is 7:00 or more.

I attached 2 numbered pictures of several screen captures.

In Excel you simply produce your chart and then right click on the data series you want to show on a second axis and then choose "format data series" and "secondary axis".

If you only want to show one line, then use  dummy data and set the line colour to "no color"

The simplest option may be a bit of a combination of the two answers above, that is something along the lines of the following:

Simply stated wikis are wikis, Lync is a messenger with advanced collaboration scenarios. Wikis help you record and keep unstructured information, while Lync is a tools for text-based and VoIP based communication, that allows you to share a presentation or screen. Conversation history can be stored, but it will not give you the reading experience of wikis and vise versa. If you are searching for Microsoft's implementation of wiki - this is SharePoint - one of the site types available in SharePoint is corporate wiki.

Unless the issues totally prevent you from finalizing your book for publication, I agree with Ben: at this stage converting the book from Word to LaTeX would be too long and complex.

However, for the future, LaTeX is a much better choice than Word for any scientific publication.

Tejas,

- Just select the cells

- Press Alt + Enter key

If not worked, select the cells which needs to be merged and click “Merge & Center” option for the first time, and then the above shortcut will be enabled.

Hope it helps.

To Mark Haefner:

Just a note regarding engineering: the word is derived from the same root as 'genius', and the word 'engine' in English comes from the same root. In Latin languages what is called in English 'engine' is 'motor', or 'machine'. So it is quite confusing that in English the basic word 'engineer' means 'someone who operates engines'. The word 'ingineur' in French and similar words in the Latin languages are derived not from 'engine' but---as I indicated---from 'genius'. Today there is still confusion in English, but not in other languages. In France an 'ingineur' does not operate a locomotive. It is unclear to me why in English (in particular in UK English) the word engineer is common to mechanics and highly skilled engineers. But btw, in the times of Da Vinci someone who studied science was an engineer of constructions and machines as well.