Free Software - Science topic

check out https://asreview.nl/

For scaffold hopping, consider using GraphGMVAE, a deep learning tool for generating scaffolds efficiently. Alternatively, RDKit is an open-source cheminformatics library that supports scaffold analysis and molecular transformations.

I am not sure what you are looking for, but wouldnt be a linear mixed model aka. multilevel model be an option? You are calculating a "fixed" effect, which is the effect for all participants, as well as "random" effects (intercept and slopes) for each participant. It uses partial pooling, i.e. it preserves all data, allows individual deviations from the fixed effect (the random part) and calculated individual slopes.

MLM is useful for clustered data, as well as longitudinal data. It is flexible to calculte a slope or curve for the "time" variable, but also may treat "time" as single measures / factors, like in rmANOVA. Additionally, MLM is recommended over rmANOVA, since it makes less assumptions, may handle missing data (drop out), gives better inferential estimates, and the overall results are more robust and better to generalize due to the shrinkage effect of MLM.

thanks a lot David M Jameson

It depends on which kind and volume of data you will use. Do you need the chemical substructure search or it will be enough text and number search? How big (in Gigabytes) you expect will be your DB? Practically, it can be determined from the volume of your graphical data and possibility to have this data as images (.bmp; .png; .jpeg e.a.).

Hi, Did you attempt to contact Dr. Friedrich Menges at info@effemm2.de? I believe you will have no trouble obtaining a license if you require it only for academic purposes (I have one myself).

Thank you very much Prof. Gerhard Martens

Key Considerations

Energy Binning: Divide neutrons into energy groups for spectral analysis.

Direction: Consider the direction of neutrons for angular flux distributions.

Statistical Uncertainty: Run sufficient events to reduce statistical errors.

Example Code Snippet

cpp// In your sensitive detector class G4bool MySensitiveDetector::ProcessHits(G4Step* step, G4TouchableHistory*) { G4Track* track = step->GetTrack(); if (track->GetDefinition() == G4Neutron::NeutronDefinition()) { G4double energy = track->GetKineticEnergy(); // Increment neutron count in appropriate energy bin // Record position, direction, etc. as needed } return true; } // In your main program void AnalyzeResults() { G4double area = /* ... */; // Area of your detector surface G4double time = /* ... */; // Total simulation time G4int neutronCount = /* ... */; // Total neutrons counted G4double flux = neutronCount / (area * time); G4cout << "Neutron flux: " << flux << " n/cm^2/s" << G4endl; }

Remember to adjust the flux calculation based on your specific geometry and requirements. Geant4 provides various tools and classes to help with particle tracking and scoring, so explore the Geant4 documentation for more detailed information on available methods.

To analyze GC data (.gcd files) on your laptop, use OpenChrom, a free, open-source tool supporting various chromatography formats. It offers peak integration, area calculation, and other analyses. Alternatively, Chromeleon (free version), LabVIEW, or Python-based libraries like PyChrom can also be used for data processing and analysis.

Perhaps "google" finds 6 open sources

or, at least some AI claims so.

Try searching on this platform. For example:

Use GROMACS for the same

(https://www.gromacs.org/)

For plotting graphs n analysis you can use QTgrace.

Regards

Fluorescence in situ hybridization (FISH) analysis software is used to process and analyze FISH images to quantify and interpret the spatial distribution of nucleic acids within cells. There are several free software options available for FISH image analysis, each with its own set of features, advantages, and limitations. Below are some of the commonly used free FISH analysis software tools along with their pros and cons:

Pros:

Open-source and free.

Highly customizable with a vast array of plugins.

User-friendly interface for basic image processing.

Widely used in the scientific community.

Cons:

Can be complex for advanced FISH analysis without the right plugins.

Steeper learning curve for new users.

May require programming skills for extensive customization.

Pros:

Open-source and free.

Highly flexible and can be tailored to specific FISH analysis needs.

Batch processing capabilities for high-throughput analysis.

Strong community support.

Cons:

Can be time-consuming to set up for complex analyses.

The learning curve can be steep for users not familiar with image analysis pipelines.

Pros:

Open-source and free.

Designed for pathology image analysis, which can include FISH.

User-friendly interface with object classification and annotation tools.

Supports both brightfield and fluorescence imaging.

Cons:

May not be as specialized for FISH as other software.

Less commonly used for FISH analysis compared to ImageJ/FIJI or CellProfiler.

Pros:

Open-source and free.

Offers a variety of plugins for FISH analysis.

Interactive interface for real-time analysis.

Cons:

Less well-known and therefore has a smaller user community.

The documentation and support may be less comprehensive compared to other tools.

Pros:

Free for academic use.

Specialized for FISH and other cytogenetic analyses.

User-friendly with a focus on ease of use.

Cons:

May not be as flexible or extensible as open-source software.

Limited to academic use.

As for their use in impact articles, these software tools have been used in various high-impact publications. The choice of software often depends on the specific requirements of the study, the expertise of the researchers, and the resources available.

When using these tools for research that will be published in high-impact journals, it is important to ensure that the software is fit for the purpose, that the analysis is rigorous, and that the methodology is well-documented. Peer reviewers often look for the validity and reliability of the image analysis methods used in a study.

Significant issues in existing software engineering include:

Other issues might include burnout among developers, inadequate documentation, and insufficient focus on user experience.

Chuck A Arize thanks a lot for your valuable suggestion

Ivan Nepomnyashchikh thanks

Hi,

Matrix Science´s Mascot Software can do, but it´s a commercial software.

Best regards

Sebastian

Use MultiDock Screening Tool

Several free software options for predicting gas chromatographic retention indices include

1-DeepReI:which uses deep learning for accurate predictions.

2-Mordred: an R package for molecular descriptor calculations.

3-ChemmineR: can also be adapted for retention index predictions through machine learning.

4-ACD/Labs offers trial versions of their software for users seeking advanced features.

لحد الساعة ليس لدينا فكرة عن أي برمجيات اصطناعية بإمكانها تحميل النص الروائي وتحليله، نتمنى إفادتنا برابط تحميله إذا كان متوفرا.

The blackbody radiation law plays a crucial role in the fields of physics, thermodynamics, optics, and remote sensing. However, its abstract nature and complex formulas make understanding challenging, and the difficulty in meeting experimental conditions becomes a problem in teaching. Based on the theoretical analysis of the twenty-seven expressions of blackbody emissivity, radiance, and energy density, as well as the six forms of Wien's displacement law and nine formulas for blackbody radiation peak intensity, we developed the shared online version of the Blackbody Radiation Expert (BRE，http://39.105.188.151:3000/index) software for practical teaching and research. This free software provides theoretical and practical experience for teaching blackbody radiation, enriches teaching resources, and offers valuable insights for the reform and optimization of similar courses.BRE can used for analysis of remote sensing field.

I don't believe GaBI is available for free. However, they may share a demo version of the software for educational purposes. When it comes to pavement, some state DOTs have very comprehensive LCIA and EPDs which is a very a good place to start. With the upcoming FHWA low-carbon transportation materials grant we'll hopefully be seeing significant improvement in the quality of pavement LCIA and EPDs.

Araf Siddique

1. **Inkscape**: Inkscape is a free and open-source vector graphics editor that can be used for creating and manipulating multi-layered designs. It supports up to 999 layers, making it suitable for your requirement.

2. **GIMP (GNU Image Manipulation Program)**: GIMP is a free and open-source image editing software that can handle multi-layered images. It supports up to 256 layers, which should be sufficient for your needs.

3. **Krita**: Krita is a free and open-source digital painting and illustration software that offers a powerful layering system. It supports up to 100 layers, which is more than enough for your simulation.

4. **Paint.NET**: Paint.NET is a free image and photo editing software that provides a user-friendly interface and supports multiple layers. It can handle up to 99 layers in a single image.

5. **Photoshop (trial version)**: While Photoshop is a paid software, it does offer a free trial version that you can use to test its layering capabilities. The trial version supports up to 999 layers, which should meet your requirements.

6. **Affinity Photo**: Affinity Photo is a professional-grade image editing software that offers a free trial version. It supports up to 16,777,216 layers, far exceeding your need for 15 layers.

Partial credit AI

Hi!

What are you planning to fragment with MALDI-TOF and would you like to predict the fragmentation of: peptides, proteins, glycans, fatty acids, oligonucleotides, ...?

BTW, it's mass spectrometry, not spectroscopy :)

Hello. It is not a problem. All these files are in text format and can be edited, for example, in a notepad. cif files contain all the necessary data for the PowderCell cel file.

I think you can run such simulation on LAMMPS. It's an open source, you just have to provide input files.

I have sent my method to your email, hoping it will be helpful to you.

May help.

I think it will be possible by CST. CST Software is easier comparing to LUMERICAL and COMSOL.

Hi, we made a review of commercial software tools for facade acoustics some years ago. Some of them are free and might suit your needs.

Hallo. There is no freeware for this. There used to be a software PeakScanner but its version 2 supposed to be compatible with fsa data from ABI3500/xl has many bugs, never really worked and you cannot download it from the ThermoFisher website anymore.

However, I may have a solution for you but need more information. Please contact me directly at richard.nadvornik@seqme.eu in case your request lasts. All the best Richard Nadvornik

Xpert High score software

Yes, the same meaning: "rolling the window" = like = sliding the window.

Good luck Joseph Whittaker.

Hello,

You can try out Galaxy

Regards

Check earlier questions like this

and the answers / links there-in.

Right click on the PDB file and navigate to open with. A list of Apps will come up and you will see "choose another App". Click on it and choose the App of your choice. You can use the option "Always use this App to open PDB files". I chose notepad and that was how I was able to convert all my pdb files to readable format using notepad.

Yes, there are several free software options available for processing Bio-Rad melt curve data for High-Resolution Melting (HRM) analysis. One such option is R-based software called "HRM," which is specifically designed for HRM curve analysis. It offers various functionalities for analyzing and visualizing melt curve data, including normalization, curve fitting, and genotype calling. Additionally, "MeltDoctor" software provided by Thermo Fisher Scientific is another free tool widely used for HRM analysis. It allows users to analyze and interpret melt curve data generated by Bio-Rad instruments. Both of these software options offer user-friendly interfaces and comprehensive tools for researchers conducting HRM analysis. Researchers can choose the software that best fits their specific needs and preferences while also considering compatibility with their laboratory equipment and workflows. Overall, these free software options provide valuable resources for processing Bio-Rad melt curve data, enabling researchers to efficiently analyze their HRM experiments without incurring additional costs.

Brijesh Kumar Singh

Designing KASP (Kompetitive Allele-Specific PCR) markers for genotyping involves several key steps. First, identify the target SNP (Single Nucleotide Polymorphism) for genotyping. Then, design allele-specific primers that specifically amplify each allele.

These primers should have a competitive element, typically a tail or a universal tag, to allow discrimination between alleles during the competitive PCR step. Validate primer specificity and efficiency using appropriate controls. Finally, optimize PCR conditions for genotyping accuracy and reproducibility.

For designing PCR primers compatible with KASP technology, several software tools are available. KASP Designer by LGC Biosearch is a widely used and reliable tool for designing KASP assays.

It helps design allele-specific primers and provides information on potential amplicon size and SNP position. Another option is Primer3, a versatile primer design tool that can be configured for KASP primer design by specifying parameters such as allele specificity and competitive tails. Both tools are accessible online and can assist in the efficient design of KASP markers for genotyping purposes.

try getting them from USEPA website

refer to the original publications or reliable sources for the equations and methodology associated with Thornthwaite and Mather Soil Moisture Budget calculations.

Dear Martin Alejandro Pavarotti ,

Volocity 3D Image Analysis Software is the only solution that provides all the tools you need to visualize, analyze and validate 3D fluorescence images from a wide range of confocal microscopy, widefield and high content screening systems and is fully integrated for a seamless user experience. Make discoveries and answer complex questions that you could not before. Visualize samples in 3D so they can be viewed from any direction for a more complete picture. Greatly improve your image and data quality with powerful restoration. Measure shapes, volumes and distances with precision. Relate cellular structure to function, and identify trends for a greater understanding.

Regards,

Shafagat

Regarding spike sorting, you may also have a look at spike interface :

It tries to make a bridge between most of the current methods or softwares in spike sorting.

You can use API 50 CH gallery is the "APIweb" software provided by bioMérieux. It is specifically designed for the interpretation of API strip results and allows for the identification of a wide range of bacterial species.

APIweb is a web-based application that can be accessed through any internet browser. It provides a user-friendly interface where you can input the results obtained from the API 50 CH gallery and obtain the corresponding bacterial identification. The software also provides additional information about the identified species, including their characteristics and relevant literature references.

To use APIweb, you will need to create an account on the bioMérieux website and follow the instructions provided to access the software. It's important to note that while the software itself is free, you may need to purchase the API 50 CH strips separately.

Hope it helps:credit AI.

Dear Christopher,

thanks a lot for your kindness,

jafar

Hello Gabriel,

Our research group has an open-source python package https://github.com/scientisst/BioSPPy

that is designed for biosignal processing. Though we have only use it in humans, I think you could try for rats, since it is very easy to adapt.

At the moment we are adding the HRV analysis module.

Though it is still not the same as kubios, we could sure use your help to understand which features should be added to the module.

For measuring particle size, there are several free software options available, each with its own set of features and capabilities. Here are a few you might consider:

ImageJ: A popular open-source image processing program developed by the National Institutes of Health. It's widely used for analyzing particle sizes in images, especially in scientific research. ImageJ supports various image formats and provides tools for measuring and analyzing particle size distributions.

Gwyddion: This is a modular program for scanning probe microscopy data analysis but can also be used for analyzing particle sizes. It's open-source and provides a range of tools for data visualization and processing.

Scikit-Image: A collection of algorithms for image processing in Python. While primarily a library for Python, it's suitable for those comfortable with scripting and programming. It's useful for more complex or customized particle size analysis tasks.

Fiji: An extension of ImageJ, Fiji is “batteries-included” - meaning it has many plugins pre-installed for various image analysis tasks, including particle size analysis.

OpenCV: This is more of a computer vision library, but it can be used for particle size analysis if you have programming skills, particularly in Python, C++, or Java.

Each of these tools has its own learning curve and may require some background knowledge in image processing or programming. The choice of software often depends on the specific requirements of your analysis, the complexity of the images, and your comfort with programming or using specialized software tools.

Here are a few popular ones:

1. Lucidchart: Lucidchart is a web-based diagramming tool that offers a free version with limited features. It provides a wide range of shapes, symbols, and templates that can be used to create conceptual frameworks and other types of diagrams. Lucidchart also supports collaboration, allowing multiple users to work on diagrams simultaneously.

2. draw.io: draw.io is an open-source diagramming software that can be used to create conceptual frameworks. It offers a user-friendly interface with various shapes and connectors to design diagrams. draw.io can be used as a web application or downloaded as a desktop application for offline use.

3. Coggle: Coggle is an online mind-mapping and brainstorming tool that can be used to create conceptual frameworks. It allows you to create interconnected nodes and organize your ideas visually. Coggle offers a free version with basic features, and it also supports real-time collaboration.

4. Canva: Canva is a versatile graphic design tool that can be used to create conceptual frameworks and other visual materials. It provides a wide range of templates, shapes, icons, and fonts to design professional-looking diagrams. Canva offers a free plan with many features, and it also has a collaborative feature for team projects.

5. FreeMind: FreeMind is a free and open-source mind-mapping software that can be used to create conceptual frameworks. It offers a simple and intuitive interface for organizing thoughts and ideas visually. FreeMind supports various features like node customization, hyperlinks, and export options.

6. yEd Graph Editor: yEd Graph Editor is a powerful desktop application for creating diagrams, including conceptual frameworks. It provides a wide range of layout algorithms and customization options to create visually appealing diagrams. yEd Graph Editor is available for free and supports various operating systems.

Hope it helps

There are several free and open-source GPS vehicle tracking solutions available. Here are a few options you can consider:

1. **Traccar**:

- Website: [https://www.traccar.org/](https://www.traccar.org/)

- Traccar is an open-source GPS tracking platform that supports various GPS tracking devices and protocols. It provides both web and mobile interfaces for tracking and managing devices.

2. **OpenGTS**:

- Website: [http://opengts.sourceforge.net/](http://opengts.sourceforge.net/)

- OpenGTS (Open GPS Tracking System) is a full-featured web-based GPS tracking system that provides a rich set of features for tracking vehicles or other assets.

3. **GPSWOX**:

- Website: [https://www.gpswox.com/](https://www.gpswox.com/)

- While GPSWOX does offer paid plans, they also have a free plan with limited features that can be suitable for small-scale tracking needs.

4. **OwnTracks**:

- Website: [https://owntracks.org/](https://owntracks.org/)

- OwnTracks is more focused on personal location tracking, but it can be adapted for vehicle tracking as well. It's open-source and provides mobile apps for Android and iOS.

5. **GpsGate**:

- Website: [https://gpsgate.com/](https://gpsgate.com/)

- GpsGate offers a free version with limited features, but it can be used for basic vehicle tracking needs. They also provide a paid version with more advanced features.

Remember that while these solutions offer free versions, they may have limitations in terms of the number of devices, features, or usage. If you have specific requirements or need advanced features, you might want to consider paid solutions or explore their premium plans.

Always review the terms and conditions, privacy policies, and licensing agreements of any software you choose to ensure they meet your needs and comply with any legal or regulatory requirements in your jurisdiction.

Yes, there are free software programs available for Windows machines that can be used to generate electron density maps, typically for use in the field of computational chemistry and crystallography. Here are a few options:

PyMOL: PyMOL is a widely used molecular visualization tool that can generate electron density maps. While the free version of PyMOL has limited functionality, it can still be used for basic electron density map visualization. You can download the open-source version known as "PyMOL2" for free.

Website: https://pymol.org/2/

Avogadro: Avogadro is an open-source molecular editor and visualization tool that can also generate electron density maps. It is designed for general chemistry, and it's user-friendly.

Website: https://avogadro.cc/

Jmol: Jmol is another open-source molecular visualization program that can be used to visualize electron density maps. It's not as feature-rich as some other tools, but it's free and relatively easy to use.

Website: http://jmol.sourceforge.net/

XCrySDen: While primarily a crystallography visualization tool, XCrySDen can also generate electron density maps. It's open source and supports a variety of file formats.

Website: http://www.xcrysden.org/

Vesta: Vesta is a visualization program for structural models, and it can display electron density maps generated from crystallographic data. It's free and widely used in the crystallography community.

Website: https://jp-minerals.org/vesta/en/

Remember that the availability and features of these software programs may change over time, so it's a good idea to visit their official websites for the latest information and downloads. Additionally, the quality and accuracy of electron density maps may depend on the underlying computational methods and data used, so it's essential to ensure that you have appropriate input data and settings for your specific research needs.

Clapeyron.jl has implementation of PC-SAFT (and many other EoS) in Julia programming language.

https://github.com/ClapeyronThermo/Clapeyron.jl (code)

https://clapeyronthermo.github.io/Clapeyron.jl/dev/ (docs)

I used SpaceClaim from ANSYS to detect errors and correct them.

In GSAS-II, in Phases, select the phase you want, go to the Data tab, at the bottom, there is the option to model a preferred orientation with March-Dollase for a crystal plane. It starts with 1, to increase preferred orientation, make it lower.

However, it looks like it could have more than one plane with preferred orientation, I don't know if this is possible and I've never dealt with this, but there are peaks of the phases that completely dissappear.

Sarvananda Letchuman- Thank you so much for the valuable answer!

This is the paragraph from the CRAN Task View for Causal Inference on matching packages. So lots of free packages written in S/R.

R is one popular free software for building random parameters models for count data with heterogeneity in mean and variance. R is a powerful programming language and software environment for statistical computing and graphics. It has a vast collection of packages specifically designed for various statistical modeling tasks, including count data analysis.

R packages that you can use to build random parameters models for count data:

1. lme4: The lme4 package provides functions for fitting linear mixed-effects models, including models with random parameters. It uses a maximum likelihood estimation approach and supports various model specifications and random effects structures. You can use this package to build random parameters models for count data with heterogeneity in mean and variance.

2. GLMMadaptive: The GLMMadaptive package is specifically designed for fitting generalized linear mixed models (GLMMs) with adaptive Gaussian quadrature for efficient estimation. It supports various distributions, including Poisson and negative binomial, which are commonly used for count data. GLMMadaptive allows for modeling heterogeneity in mean and variance, making it suitable for building random parameters models.

3. brms: The brms package provides a flexible interface to fit Bayesian multilevel models using a syntax similar to lme4. It utilizes Stan, a powerful probabilistic programming language, for Bayesian inference. brms allows for specifying complex models with random effects and supports a wide range of count distributions, including zero-inflated and hurdle models.

4. MCMCglmm: The MCMCglmm package is focused on fitting multilevel models using Markov chain Monte Carlo (MCMC) methods. It provides a Bayesian framework for estimating random parameters models with different variance components. While it doesn't have built-in support for count data distributions, you can use transformations or link functions to model count outcomes.

These packages offer different approaches and functionalities for building random parameters models for count data in R. They provide flexibility, extensive documentation, and user communities for support. You can install these packages in R using the `install.packages()` function and access their documentation and examples through the R help system.

Good luck

credit AI tools

Various free software tools for diagramming or mind-mapping capabilities are:

1. draw.io: draw.io is a free, web-based diagramming tool that allows you to create various types of diagrams, including conceptual frameworks. It provides a user-friendly interface with a wide range of symbols and shapes to construct your framework. It also offers collaboration features and the ability to save your diagrams locally or in cloud storage services.

2. Lucidchart: Lucidchart is an online diagramming tool that offers a free version with limited features. It provides an intuitive interface and a variety of shapes, templates, and icons to create conceptual frameworks. Lucidchart allows you to collaborate with others, export your diagrams, and integrate with popular tools like Google Drive and Slack.

3. Coggle: Coggle is a web-based mind-mapping tool that allows you to create visual representations of your conceptual and theoretical frameworks. It offers a simple and intuitive interface with drag-and-drop functionality. You can collaborate with others in real-time and export your mind maps as PDF or image files.

4. MindMup: MindMup is a free online mind-mapping software that enables you to create hierarchical structures and relationships between concepts. It offers an easy-to-use interface, real-time collaboration, and the ability to import or export mind maps in various formats. MindMup also integrates with cloud storage services like Google Drive and Dropbox.

5. XMind: XMind is a popular open-source mind-mapping software that provides a free version with basic features. It offers a range of templates, styles, and customization options to create conceptual frameworks. XMind allows you to export your mind maps in various formats, including PDF, image files, and Microsoft Office formats.

These are starting point for creating conceptual and theoretical frameworks, and each has its own unique features and interface. You can explore them and choose the one that best suits your needs and preferences.

Good luck

credit AI tools

Crack version of orijin lab 2019 b should be a prominent one by which you can easily analysis your obtained experimental data also it will helpful for the mathmatical modelling.

When building a literature review, researchers often use a combination of software tools and online platforms to gather and manage their research sources efficiently. Here are some popular software tools commonly used for this purpose:

Remember that the choice of software will depend on individual preferences, the specific requirements of the literature review project, and any institutional or collaborative considerations

Thank you so much

Carlos A Almenara

Thanks a lot. Your response provides useful insights into where I can start.

Dear Wajeeha Usman,

Indeed there are so many different tools that your best option is to be more specific about what you want to do. Essentially, your question is comparable to “I want to drive, which car should I choose?” I can answer, “I really like Ferraris” but it could be the inappropriate car to go rallying in the mountains.

Many of the suggested codes posses a large set of capabilities. Some of them excel in particular cases (for instance, periodic vs non-periodic materials), some offer classical approaches, others quantum mechanical. Exploring them all requires a quite large amount of time. And you might still miss the tool best suited for your task.

Therefore, my suggestion would be that you try to be more specific on your needs. And the answer might be narrower but more to the point.

Regards,

Roberto

Contact Schrondinger and request for free trial version. The whole package is just awesome and covers many computational parameters.

If you have linux system, then you will also be able to perform MD simulation in the same package. Good luck!

Dear Rocky Rocky , Jacquelyn Szajer , David L Neumann and Mikkel C Vinding

Yes, there are several free software options available that you can use to modify the words used in a Stroop task or create your own custom Stroop task. Here are a few popular choices:

1. PsychoPy: PsychoPy (https://www.psychopy.org/) is a free and open-source software for creating experiments in psychology and neuroscience. It offers a user-friendly graphical interface where you can design and customize your Stroop task. PsychoPy allows you to easily change the words, colors, and other parameters of the task.

2. OpenSesame: OpenSesame (https://osdoc.cogsci.nl/) is another open-source experiment builder that allows you to create and modify Stroop tasks. It provides a drag-and-drop interface and a scripting language for more advanced customization. OpenSesame is highly flexible and suitable for various experimental designs.

3. E-Prime: E-Prime (https://pstnet.com/products/e-prime/) is a widely used commercial software for designing and running psychological experiments. Although the full version of E-Prime is not free, you can download a free trial version with limited functionality. E-Prime offers a visual interface and a scripting language for customizing Stroop tasks.

4. Inquisit: Inquisit (https://www.millisecond.com/products/inquisit/) is another commercial software used for creating and running psychological experiments. It has a user-friendly interface and supports customizing Stroop tasks. Inquisit also provides scripting capabilities for advanced customization.

These software options offer various features, flexibility, and support for creating customized Stroop tasks. Depending on your specific needs and preferences, you can choose the one that suits you best. It's advisable to visit their respective websites to explore the features, documentation, and tutorials provided by each software to assist you in creating and modifying your Stroop task.

R

.

Understanding and using English Grammar/fifth edition/writing by Betty S.Azar and Stacy A.Hagen

You can use PAST software.

It seems like you are trying to compare a DFT optimized structure with the crystal structure. I think 'ORTEP' should work for the same.

hi my friend

I used AutoDock 4.2 software for covalent docking. also, u can use moe software.

You can use draw.io

Dear prof. Abdulkhaleq Alwahib

I hope you be fine.

Please send an e-mail for me by subject "ocean optic".

YADE is open source and free to use for anyone. https://yade-dem.org/doc/ Very easily installed on most Linux distributions.

Hello Prof Ajit Singh, Thank you so much for the answers you provided. I really appreciate!

Thanks

Dear Muhammad S. Mansy , did you look at McCad.

Kind regards Rob

Mohsen Alshaghdari

Albeit indeed originally designed for igneous and metamorphic rocks, GCDkit would plot anything. I often show my students an example of plotting a sample dataset on religion in Switzerland. This system also allows, relatively easily, adding new plugins and user-defined plot templates. See blog.gcdkit.org.

Meta-analysis is a statistical method that combines results from multiple studies to generate a summary estimate of the effect size of a particular intervention or exposure. The steps to conducting a meta-analysis for clinical data include:

It's important to note that conducting a meta-analysis requires a solid understanding of statistical methods and research design, so it's recommended to seek the help of a statistician or experienced researcher to ensure the analysis is conducted appropriately.

Hi Sophia,

I've looked into this for you and it seems that the AngioQuant software is no longer available. The website that used to host the software has been taken down and there is no other known link to download it.

I can suggest some potential avenues for locating the software or a suitable alternative.

I hope this information is helpful, and I wish you the best in locating Angioquant or a suitable alternative for your needs.

Kind regards,