NUtitleII – Accessibility Helper Toolkit for PowerPoint (.PPTM)

NUtitleII is a macro-enabled PowerPoint presentation file (.PPTM) designed to assist individual users in improving the accessibility of PowerPoint presentations when working toward compliance with Title II of the Americans with Disabilities Act (ADA).

The Software is intended as a workflow aid, not a compliance checker. It leverages Microsoft PowerPoint’s built-in Accessibility Checker and automates remediation of certain accessibility-related elements already flagged by PowerPoint, such as:

• Inserting or standardizing slide titles
• Populating alternative text fields
• Applying table header settings

By automating these repetitive tasks, NUtitleII can help save time and reduce manual effort when addressing accessibility issues surfaced by PowerPoint’s Accessibility Checker.

Watch a short demonstration: NUtitleII Video Demonstration

Important Limitations

• NUtitleII does not perform its own accessibility analysis.
• NUtitleII does not identify missing accessibility issues and does not replace PowerPoint’s Accessibility Checker.
• NUtitleII does not determine or guarantee compliance with Title II, the ADA, or any other legal or regulatory standard.
• Results may be incomplete or require further manual review, particularly for complex content.

Human review, institutional accessibility policies, and professional or legal guidance remain essential.

Platform Requirements

Works with Microsoft 365 PowerPoint for Windows and macOS. Macro support must be enabled.

Microsoft and PowerPoint are trademarks of Microsoft Corporation. Apple and macOS are trademarks of Apple Inc. No affiliation with, endorsement by, or sponsorship from Microsoft or Apple is implied.

EULA Required

Use of NUtitleII is governed by an End User License Agreement (EULA). By purchasing, downloading, or using this Software, you agree to be bound by the EULA, including all limitations, disclaimers, and restrictions. Please review the EULA carefully before purchasing. Download and view the EULA here: NUtitleII EULA.

Licensing & Use

• This product is licensed per individual user.
• Purchase grants the right for one person to use the Software on their own computer(s).
• Sharing, redistribution, or organizational use by multiple users is not permitted without separate licensing.
• NUtech has no obligation to provide updates, upgrades, bug fixes, support, documentation, or enhancements. Continued functionality is not guaranteed.

Technical Notes

• Macro-enabled PowerPoint file (.PPTM)
• Macros must be enabled for functionality
• Digitally signed to support macro security settings
• Works on Microsoft 365 PowerPoint for Windows and macOS (macro support required)

No Affiliation or Endorsement

This product is an independent product and is not affiliated with, endorsed by, or sponsored by Microsoft Corporation or Apple Inc. Microsoft, PowerPoint, Apple, and macOS are trademarks of their respective owners.

SoySim is a computer program that simulates growth and development of soybean (Glycine Max. L. Merr.) under favorable growth conditions without limitations due to water, nutrients, weeds or pests.  The simulation is based on daily weather data.  The model allows user to:

• Assess yield potential at a given site and its variability in relation to long-term weather data

• Evaluate changes in attainable yield as affected by planting date, maturity group, and plant density

• Explore options for optimal irrigation management

• Conduct in-season simulations to evaluate actual growth and to forecast final yield

SoySim does NOT allow assessment of nutrient management options nor does it account for yield losses due to weeds, insects, diseases, lodging, or other abiotic and biotic stresses.  SoySim has been evaluated primarily in rainfed and irrigated soybean cropping systems in the US Corn Belt where the crop was grown under favorable conditions.  Caution should be exercised when applying this model to other environments as this may require changes in some of the default model parameters.

Maize-N is a computer program that simulates fertilizer requirement for Maize crop grown under intensive management.

• Assess the overall site yield potential and its variability based on historical weather data.

• Evaluate attainable yield, N uptake, and fertilizer N required based on climatic and management factors such as planting date, hybrid maturity, and plant density, N application method and timing, manuring, and soil characteristics.

The estimation of N fertilizer requirement in Maize-N is based on user input information on the current maize crop, last season crop, tillage and crop residue management, basic soil properties, fertilizer management and manuring, and long-term weather data of the field. The program first simulates maize yield potential (i.e., maximum yield with optimal water and nutrient supply and without stresses from diseases, insects and pests) and its year to year variation. It then simulates mineral N released from mineralization of soil organic matter, crop residues (roots and straw or stover) and manures. The program can also estimate recovery efficiency of applied N fertilizers. Finally, it estimates the economically optimal N rate (EONR) of fertilizer for the current maize crop.

The BESS model is a software tool to calculate the energy efficiency, greenhouse gas (GHG) emissions, and natural resource requirements of corn–to-ethanol biofuel production systems. The model provides a “cradle-to-grave” analysis of the production life-cycle of biofuels from the creation of material inputs to finished products. The model parameters can be set by the user to achieve the highest accuracy in evaluating a single corn-ethanol biorefinery and its surrounding feedstock crop production zone. The model equations and summary reports are unalterable, providing the characteristics needed to serve as certification software to evaluate the environmental impact of biofuels for industry advancement.

PROFESS (PROtein Function, Evolution, Structure and Sequence) is a general framework that integrates various biological databases. PROFESS aims at giving an overview of biological systems by integrating protein annotations at different levels: function, evolution, structure and sequence.

PROFESS should not be considered as a replacement for current databases, but rather as a complementary tool. In particular, PROFESS includes the data necessary to show the users a broad overview, whereas the details of the annotations are left in the original databases. For example, each orthologous cluster is associated with a list of Protein Families (PFAM) and a short description. But PROFESS does not include the details of the Protein Families, such as the parameters used to generate the Markov models for example.

The CALMIT Data Acquisition Program-2 (CDAP-2) performs the acquisition of hyper-spectral visible and near infrared data under optimal and non-optimal sky conditions. CDAP-2 allows for rapid data acquisition and process as well as automatic adjustment of integration time to compensate for varying light conditions.

Key features include:

• The ability to import data from GPS and/or dataloggers

• The ability to capture pictures from a web cam

• Easy setup and operation

• Communication with instruments using USB connection

The data collection and processing of CDAP has over 10 years of peer reviewed results and has been used by universities, government agencies, and individuals interested in hyper-spectral data of vegetation, water and coral to name a few of its uses.

This product is not available for download.  A signed license agreement and additional setup support are required.  If you are interested in purchasing this software, please contact us for more information.

The CALMIT Data Acquisition Program (CDAP) performs the acquisition of hyper-spectral visible and near infrared data under optimal and non-optimal sky conditions. CDAP allows for rapid data acquisition and process as well as automatic adjustment of integration time to compensate for varying light conditions.

Key features include:

• Integrated hyperspectral and ancillary instrument control, data collection and post-processing

• Collects datalogger output such as IR temperature

• Position and time-tags using external GPS data

• Handles single and dual headed spectral observation

• Communication with instruments using RS-232 interface (Serial)

The data collection and processing of CDAP has over 10 years of peer reviewed results and has been used by universities, government agencies, and individuals interested in hyper-spectral data of vegetation, water and coral to name a few of its uses.

This product is not available for download. A signed license agreement and additional setup support are required. If you are interested in purchasing this software, please contact us for more information.

This is an upgrade to the CALMIT Data Acquisition Program-2 (CDAP-2) and should only be used if you have already purchased the earlier CDAP software package.

This product is not available for download.  A signed license agreement and additional setup support are required.  If you are interested in purchasing this software, please contact us for more information.

Hybrid-Maize 2016 has several major improvements over the earlier version, especially for rainfed maize with periodical water stress. Specifically, the improvements are on root distribution, impacts of waters tress on canopy development and kernel setting, effect of soil surface coverage on soil evaporation, inclusion of runoff in water balance, estimation of soil water content from off-season weather data, and a new scheme of batch run for research applications.

Hybrid-Maize is a computer program that simulates the growth of a corn crop (Zea mays L.) under non-limiting or water-limited (rainfed or irrigated) conditions based on daily weather data. Specifically, it allows the user to:

• Assess the overall site yield potential and its variability based on historical weather data

• Evaluate changes in attainable yield using different combinations of planting date, hybrid maturity, and plant density

• Explore options for optimal irrigation management

• Conduct in-season simulations to evaluate actual growth up to the current date based on real-time weather data, and to forecast final yield scenarios based on historical weather data for the remainder of the growing season.

Hybrid-Maize does NOT allow assessment of different options for nutrient management nor does it account for yield losses due to weeds, insects, diseases, lodging, and other stresses.

Hybrid-Maize has been evaluated primarily in rainfed and irrigated maize systems of the US Corn Belt. Caution should be exercised when applying this model to other environments as this may require changes in some of the default model parameters. As with all simulation models, Hybrid-Maize still represents a simplification of the ‘real-world’ system and, as such, model predictions may differ from actual outcomes. Therefore, the results of model simulations should be considered approximations and not taken as fact.