Category: Applications

DESCRIPTION: Media Player Classic Home Cinema Overview
Media Player Classic HomeCinema, also known as MPC-HC, is comfortable with all plans for the media player. It was built based on a classical Media Player Classic, and one of the best media codecs show collections. Thus, it can play many video and audio formats without installing external codecs.
This player has a large number of different functionalities: it can play DVDs, the hardware can decode H.264 format popular on the latest generation graphics cards, it knows how to work correctly with the second monitor (TV), supports the various type of subtitles can work with QuickTime and RealVideo formats, etc.

Features of Media Player Classic Home Cinema

✔Option to remove Tearing.
✔Better support for Windows Vista, including a release for 64 bits platform.
✔Support for EVR (Enhanced Video Renderer)
✔Supports Subtitles.
✔Playback and recording of television if a supported TV tuner is installed.
✔Creation of minidump when MPC HC crashes.
✔OSD (On Screen Display)
✔Shuttle PN31 remote control support
✔Support Multi-Monitor configuration
✔Pixel shader to convert BT601 – BT701
✔YV12 Chroma Upsampling pixel shader
✔Language Translations.
✔All features from the Guliverkli MPC Project from Gabest.

System Requirements and Technical Details

✔Supported OS: Windows 11, Windows 10, Windows 8.1, Windows 7
✔RAM (Memory): 2 GB RAM (4 GB recommended)
✔Free Hard Disk Space: 200 MB or more

Media Player Classic Home Cinema (MPC-HC) 2.7.0.0 RePack (& Portable) by KpoJIuK (37 MB)

RapidGator
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https://rapidgator.net/file/3d5b3e0f4984084245302e2912f59e09/Media.Player.Classic.Home.Cinema.MPC-HC.2.7.0.0.RePack..Portable.by.KpoJIuK.rar

UsersDrive
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https://usersdrive.com/901jibj9vgrj.html

DESCRIPTION: Media Player Classic Home Cinema Overview
Media Player Classic HomeCinema, also known as MPC-HC, is comfortable with all plans for the media player. It was built based on a classical Media Player Classic, and one of the best media codecs show collections. Thus, it can play many video and audio formats without installing external codecs.
This player has a large number of different functionalities: it can play DVDs, the hardware can decode H.264 format popular on the latest generation graphics cards, it knows how to work correctly with the second monitor (TV), supports the various type of subtitles can work with QuickTime and RealVideo formats, etc.

Features of Media Player Classic Home Cinema

✔Option to remove Tearing.
✔Better support for Windows Vista, including a release for 64 bits platform.
✔Support for EVR (Enhanced Video Renderer)
✔Supports Subtitles.
✔Playback and recording of television if a supported TV tuner is installed.
✔Creation of minidump when MPC HC crashes.
✔OSD (On Screen Display)
✔Shuttle PN31 remote control support
✔Support Multi-Monitor configuration
✔Pixel shader to convert BT601 – BT701
✔YV12 Chroma Upsampling pixel shader
✔Language Translations.
✔All features from the Guliverkli MPC Project from Gabest.

System Requirements and Technical Details

✔Supported OS: Windows 11, Windows 10, Windows 8.1, Windows 7
✔RAM (Memory): 2 GB RAM (4 GB recommended)
✔Free Hard Disk Space: 200 MB or more

Media Player Classic Home Cinema (MPC-HC) 2.7.0 + Portable (unofficial) (98 MB)

RapidGator
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https://rapidgator.net/file/e1c6785cca92fd2d0693dd1056d15fa4/Media.Player.Classic.Home.Cinema.MPC-HC.2.7.0..Portable.unofficial.rar

UsersDrive
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https://usersdrive.com/mvvmb3276xyp.html

Media Player Classic Home Cinema Overview
Media Player Classic HomeCinema, also known as MPC-HC, is comfortable with all plans for the media player. It was built based on a classical Media Player Classic, and one of the best media codecs show collections. Thus, it can play many video and audio formats without installing external codecs.
This player has a large number of different functionalities: it can play DVDs, the hardware can decode H.264 format popular on the latest generation graphics cards, it knows how to work correctly with the second monitor (TV), supports the various type of subtitles can work with QuickTime and RealVideo formats, etc.

Features of Media Player Classic Home Cinema

✔Option to remove Tearing.
✔Better support for Windows Vista, including a release for 64 bits platform.
✔Support for EVR (Enhanced Video Renderer)
✔Supports Subtitles.
✔Playback and recording of television if a supported TV tuner is installed.
✔Creation of minidump when MPC HC crashes.
✔OSD (On Screen Display)
✔Shuttle PN31 remote control support
✔Support Multi-Monitor configuration
✔Pixel shader to convert BT601 – BT701
✔YV12 Chroma Upsampling pixel shader
✔Language Translations.
✔All features from the Guliverkli MPC Project from Gabest.

System Requirements and Technical Details

✔Supported OS: Windows 11, Windows 10, Windows 8.1, Windows 7
✔RAM (Memory): 2 GB RAM (4 GB recommended)
✔Free Hard Disk Space: 200 MB or more

️ Media Player Classic Home Cinema (MPC-HC) 2.6.3.0 RePack (& Portable) by KpoJIuK – (37 MB)

RapidGator Link(s)
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https://rapidgator.net/file/36f0ac30c6d425af115a35d608fdfa08/Media.Player.Classic.Home.Cinema.MPC-HC.2.6.3.0.RePack..Portable.by.KpoJIuK.rar

Freedl.ink Link(s)
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https://frdl.io/tg7o97qoeb1s/Media.Player.Classic.Home.Cinema.MPC-HC.2.6.3.0.RePack..Portable.by.KpoJIuK.rar

QUICK INFO: File size: 173.6 MB

DESCRIPTION: Statistical software for biomedical research with a rich set of functions, graph types and an advanced module for performing ROC graph analysis. MedCalc is designed to meet the requirements of biomedical researchers with respect to the statistical analysis of large datasets. It provides the necessary tools and features for performing Receiver Operating Characteristic curve analysis, data plotting, Bablok and Deming regression and more.

With an integrated spreadsheet with over 100,000 rows, MedCalc is capable of reading and displaying detailed data imported from Excel, SPSS, Dbase, Lotus or extracted from SYLK, DIF or text files. The information can be easily sorted, filtered or edited.

The built-in data browser offers a comfortable means of easily managing data, variables, notes, texts and graphs, while the array of supported graphs and diagrams (scatter plots, method comparison graphs, graphs for subgroups or for up to 24 continuous variables, survival curves, serial measurement, standardized mean plots and many more) make it perfect for analyzing trends and comparing information.

One of the most important features of MedCalc is related to its ROC curve analysis capabilities. It can generate the ROC curve graph with 95% confidence bounds, calculate specificity, sensitivity, predictive values for all the thresholds, likelihood ratios, generate conclusive plots and determine the size of an area under the ROC graph. Up to 6 ROC curves can be compared, calculating the differences between the areas, the standard errors, P-values and more.

MedCalc is capable of handling missing data, creating subgroups, calculating percentile ranks and power transformation. It features outlier detection, correlation and regression tools, Bland & Altman plotting, while also enabling you to run Anova, variance ratio, mean, propertion, Chi-Square, Fisher and T-tests.

A summary of the statistical report can be easily generated and data can be placed and viewed side-by-side thanks to the multiple comparison graphs function.
MedCalc requires at least basic statistics knowledge in order to get the most out of its potential. Its extensive array of features make it a must-have tool for running method comparison studies and analyzing biomedical data.

Code:Copy to clipboard

https://www.medcalc.org/history.php

System Requirements
PC with Windows 7, 8, 8.1, 10 or 11; or Windows Server 2016 or more recent (all 32-bit and 64-bit versions supported).
MedCalc runs on Windows computers with traditional Intel/AMD (x86/x64) processors, as well as on devices with Qualcomm processors (ARM64 architecture).
On Windows versions prior to Windows 8, support for Excel *.xlsx files additionally requires Microsoft .NET Framework 4.0 (a free download from Microsoft).
2048 Mb of memory.
150 Mb free space on the hard disk.

MedCalc 23.5.5 Multilingual (174 MB)

RapidGator
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https://rapidgator.net/file/580acc6c494072aff03441f9747c8256/MedCalc.23.5.5.Multilingual.rar

Freedl.ink
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https://frdl.io/t4ru4diz519u/MedCalc.23.5.5.Multilingual.rar

QUICK INFO: File size: 171.1 MB

DESCRIPTION: Statistical software for biomedical research with a rich set of functions, graph types and an advanced module for performing ROC graph analysis. MedCalc is designed to meet the requirements of biomedical researchers with respect to the statistical analysis of large datasets. It provides the necessary tools and features for performing Receiver Operating Characteristic curve analysis, data plotting, Bablok and Deming regression and more.

With an integrated spreadsheet with over 100,000 rows, MedCalc is capable of reading and displaying detailed data imported from Excel, SPSS, Dbase, Lotus or extracted from SYLK, DIF or text files. The information can be easily sorted, filtered or edited.

The built-in data browser offers a comfortable means of easily managing data, variables, notes, texts and graphs, while the array of supported graphs and diagrams (scatter plots, method comparison graphs, graphs for subgroups or for up to 24 continuous variables, survival curves, serial measurement, standardized mean plots and many more) make it perfect for analyzing trends and comparing information.

One of the most important features of MedCalc is related to its ROC curve analysis capabilities. It can generate the ROC curve graph with 95% confidence bounds, calculate specificity, sensitivity, predictive values for all the thresholds, likelihood ratios, generate conclusive plots and determine the size of an area under the ROC graph. Up to 6 ROC curves can be compared, calculating the differences between the areas, the standard errors, P-values and more.

MedCalc is capable of handling missing data, creating subgroups, calculating percentile ranks and power transformation. It features outlier detection, correlation and regression tools, Bland & Altman plotting, while also enabling you to run Anova, variance ratio, mean, propertion, Chi-Square, Fisher and T-tests.

A summary of the statistical report can be easily generated and data can be placed and viewed side-by-side thanks to the multiple comparison graphs function.
MedCalc requires at least basic statistics knowledge in order to get the most out of its potential. Its extensive array of features make it a must-have tool for running method comparison studies and analyzing biomedical data.

Code:Copy to clipboard

https://www.medcalc.org/history.php

MedCalc 23.5.3 Multilingual (172 MB)

RapidGator
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https://rapidgator.net/file/edc9c99b124360e32d9b78fc637987fb/MedCalc.23.5.3.Multilingual.rar

Freedl.ink
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https://frdl.io/qtqf211z8mjt/MedCalc.23.5.3.Multilingual.rar

QUICK INFO: File size: 171 MB

DESCRIPTION: Statistical software for biomedical research with a rich set of functions, graph types and an advanced module for performing ROC graph analysis. MedCalc is designed to meet the requirements of biomedical researchers with respect to the statistical analysis of large datasets. It provides the necessary tools and features for performing Receiver Operating Characteristic curve analysis, data plotting, Bablok and Deming regression and more.

With an integrated spreadsheet with over 100,000 rows, MedCalc is capable of reading and displaying detailed data imported from Excel, SPSS, Dbase, Lotus or extracted from SYLK, DIF or text files. The information can be easily sorted, filtered or edited.

The built-in data browser offers a comfortable means of easily managing data, variables, notes, texts and graphs, while the array of supported graphs and diagrams (scatter plots, method comparison graphs, graphs for subgroups or for up to 24 continuous variables, survival curves, serial measurement, standardized mean plots and many more) make it perfect for analyzing trends and comparing information.

One of the most important features of MedCalc is related to its ROC curve analysis capabilities. It can generate the ROC curve graph with 95% confidence bounds, calculate specificity, sensitivity, predictive values for all the thresholds, likelihood ratios, generate conclusive plots and determine the size of an area under the ROC graph. Up to 6 ROC curves can be compared, calculating the differences between the areas, the standard errors, P-values and more.

MedCalc is capable of handling missing data, creating subgroups, calculating percentile ranks and power transformation. It features outlier detection, correlation and regression tools, Bland & Altman plotting, while also enabling you to run Anova, variance ratio, mean, propertion, Chi-Square, Fisher and T-tests.

A summary of the statistical report can be easily generated and data can be placed and viewed side-by-side thanks to the multiple comparison graphs function.
MedCalc requires at least basic statistics knowledge in order to get the most out of its potential. Its extensive array of features make it a must-have tool for running method comparison studies and analyzing biomedical data.

Code:Copy to clipboard

https://www.medcalc.org/history.php

MedCalc 23.5.2 Multilingual (172 MB)

RapidGator
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https://rapidgator.net/file/159e1859859bd864f5b7b185d62307e5/MedCalc.23.5.2.Multilingual.rar

UsersDrive
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https://usersdrive.com/i94cilnchmxb.html

Statistical software for biomedical research with a rich set of functions, graph types and an advanced module for performing ROC graph analysis. MedCalc is designed to meet the requirements of biomedical researchers with respect to the statistical analysis of large datasets. It provides the necessary tools and features for performing Receiver Operating Characteristic curve analysis, data plotting, Bablok and Deming regression and more.

With an integrated spreadsheet with over 100,000 rows, MedCalc is capable of reading and displaying detailed data imported from Excel, SPSS, Dbase, Lotus or extracted from SYLK, DIF or text files. The information can be easily sorted, filtered or edited.

The built-in data browser offers a comfortable means of easily managing data, variables, notes, texts and graphs, while the array of supported graphs and diagrams (scatter plots, method comparison graphs, graphs for subgroups or for up to 24 continuous variables, survival curves, serial measurement, standardized mean plots and many more) make it perfect for analyzing trends and comparing information.

One of the most important features of MedCalc is related to its ROC curve analysis capabilities. It can generate the ROC curve graph with 95% confidence bounds, calculate specificity, sensitivity, predictive values for all the thresholds, likelihood ratios, generate conclusive plots and determine the size of an area under the ROC graph. Up to 6 ROC curves can be compared, calculating the differences between the areas, the standard errors, P-values and more.

MedCalc is capable of handling missing data, creating subgroups, calculating percentile ranks and power transformation. It features outlier detection, correlation and regression tools, Bland & Altman plotting, while also enabling you to run Anova, variance ratio, mean, propertion, Chi-Square, Fisher and T-tests.

A summary of the statistical report can be easily generated and data can be placed and viewed side-by-side thanks to the multiple comparison graphs function.
MedCalc requires at least basic statistics knowledge in order to get the most out of its potential. Its extensive array of features make it a must-have tool for running method comparison studies and analyzing biomedical data.

Code:Copy to clipboard

https://www.medcalc.org/history.php

️ MedCalc 23.5.1 Multilingual – (172 MB)

RapidGator
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https://rapidgator.net/file/564e547bd116cefdbbb17ebbae7f92f6/MedCalc.23.5.1.Multilingual.rar

Freedl.ink
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https://frdl.io/xeiyc390wz8q/MedCalc.23.5.1.Multilingual.rar

Statistical software for biomedical research with a rich set of functions, graph types and an advanced module for performing ROC graph analysis. MedCalc is designed to meet the requirements of biomedical researchers with respect to the statistical analysis of large datasets. It provides the necessary tools and features for performing Receiver Operating Characteristic curve analysis, data plotting, Bablok and Deming regression and more.

With an integrated spreadsheet with over 100,000 rows, MedCalc is capable of reading and displaying detailed data imported from Excel, SPSS, Dbase, Lotus or extracted from SYLK, DIF or text files. The information can be easily sorted, filtered or edited.

The built-in data browser offers a comfortable means of easily managing data, variables, notes, texts and graphs, while the array of supported graphs and diagrams (scatter plots, method comparison graphs, graphs for subgroups or for up to 24 continuous variables, survival curves, serial measurement, standardized mean plots and many more) make it perfect for analyzing trends and comparing information.

One of the most important features of MedCalc is related to its ROC curve analysis capabilities. It can generate the ROC curve graph with 95% confidence bounds, calculate specificity, sensitivity, predictive values for all the thresholds, likelihood ratios, generate conclusive plots and determine the size of an area under the ROC graph. Up to 6 ROC curves can be compared, calculating the differences between the areas, the standard errors, P-values and more.

MedCalc is capable of handling missing data, creating subgroups, calculating percentile ranks and power transformation. It features outlier detection, correlation and regression tools, Bland & Altman plotting, while also enabling you to run Anova, variance ratio, mean, propertion, Chi-Square, Fisher and T-tests.

A summary of the statistical report can be easily generated and data can be placed and viewed side-by-side thanks to the multiple comparison graphs function.
MedCalc requires at least basic statistics knowledge in order to get the most out of its potential. Its extensive array of features make it a must-have tool for running method comparison studies and analyzing biomedical data.

Code:Copy to clipboard

https://www.medcalc.org/history.php

️ MedCalc 23.5 Multilingual – (172 MB)

RapidGator Link(s)
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https://rapidgator.net/file/44f7db05529cc9a227c6a91265760a8e/MedCalc.23.5.Multilingual.rar

Freedl.ink Link(s)
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https://frdl.io/5pgllkgwg61c/MedCalc.23.5.Multilingual.rar

Statistical software for biomedical research with a rich set of functions, graph types and an advanced module for performing ROC graph analysis. MedCalc is designed to meet the requirements of biomedical researchers with respect to the statistical analysis of large datasets. It provides the necessary tools and features for performing Receiver Operating Characteristic curve analysis, data plotting, Bablok and Deming regression and more.

With an integrated spreadsheet with over 100,000 rows, MedCalc is capable of reading and displaying detailed data imported from Excel, SPSS, Dbase, Lotus or extracted from SYLK, DIF or text files. The information can be easily sorted, filtered or edited.

The built-in data browser offers a comfortable means of easily managing data, variables, notes, texts and graphs, while the array of supported graphs and diagrams (scatter plots, method comparison graphs, graphs for subgroups or for up to 24 continuous variables, survival curves, serial measurement, standardized mean plots and many more) make it perfect for analyzing trends and comparing information.

One of the most important features of MedCalc is related to its ROC curve analysis capabilities. It can generate the ROC curve graph with 95% confidence bounds, calculate specificity, sensitivity, predictive values for all the thresholds, likelihood ratios, generate conclusive plots and determine the size of an area under the ROC graph. Up to 6 ROC curves can be compared, calculating the differences between the areas, the standard errors, P-values and more.

MedCalc is capable of handling missing data, creating subgroups, calculating percentile ranks and power transformation. It features outlier detection, correlation and regression tools, Bland & Altman plotting, while also enabling you to run Anova, variance ratio, mean, propertion, Chi-Square, Fisher and T-tests.

A summary of the statistical report can be easily generated and data can be placed and viewed side-by-side thanks to the multiple comparison graphs function.
MedCalc requires at least basic statistics knowledge in order to get the most out of its potential. Its extensive array of features make it a must-have tool for running method comparison studies and analyzing biomedical data.

Code:Copy to clipboard

https://www.medcalc.org/history.php

️ MedCalc 23.4.9 Multilingual – (172 MB)

RapidGator Link(s)
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https://rapidgator.net/file/c21c92adb086f304e477106dd930ef51/MedCalc.23.4.9.Multilingual.rar

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https://frdl.io/2rr6yigl2gd7/MedCalc.23.4.9.Multilingual.rar

QUICK INFO: File Size : 1.7 Mb

DESCRIPTION: MDB Viewer Plus is a small, yet highly reliable utility designed to open and manipulate Access files. By providing such simple means to view, edit and search MDB and Accdb database records, it’s an easy alternative to Microsoft Access.

MDB Viewer Plus Feature List
Can open MDB and Accdb files.
Table opening, viewing and inline editing.
Tabbed interface.
Standard search and partial word search.
Filtering / sorting records by fields.
Table and query result printing.
Record view (form style view).
Record count.
Query – standard SQL select statements.
Opening and saving of SQL statements to file.
Table Info (field types) plus printing of structure.
Table types.
Portable; no installation required to run. (Provided MDAC is already installed as part of Windows)
Exports to TXT, HTML, XML, DBF, XLS, WKS, RTF and PDF.
Import from CSV,TXT,Doc,XLS,WK1,WQ1,SAV,DB,DBF,MDB,ADO,ADT,DAT,HTM,XML,WAB and VCS.
Support Access 2007 Accdb files (Provided "Microsoft Office Access database engine 2007" is installed).
Unicode compatible.
Create new blank database.
Create / rename / delete table.
Set / change / remove password.
Support for Workgroup Files (MDW).
Display related child table link to the parent table.
Add / remove / rename / alter fields.
Customisable many to many relationship dialog.
Selective opening of tables

System Requirements: Windows 11, Windows 10, 8 , 7

MDB Viewer Plus 2.76 (3 MB)

RapidGator
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https://rapidgator.net/file/1df98bdebe50368c67db99fc88258216/MDB.Viewer.Plus.2.76.rar

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https://frdl.io/nu6a6ly8yucg/MDB.Viewer.Plus.2.76.rar