Ta Universal Analysis Software 141
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Note: This software supports TAM IV and TAM Air instruments in a single installer. This download is a full version of the software and documentation. After completing the form below, the software will begin to download automatically.
Single user interface with all necessary inputs/outputs to configure test protocols, define acquisition settings, adjust test parameters while a test is running, and real-time monitoring of test progress.
ElectroForce Dynamic Mechanical Anaylsis (DMA) software provides a flexible platform for advanced viscoelastic property measurement for a variety of materials, including engineered materials, such as elastomers, composites as well as biomaterials. WinTest DMA software provides improved test control and analysis, including online test status graphics and better test metrics, enhancing the capabilities of ElectroForce test instruments for dynamic mechanical analysis applications.
The Scarabaeus Software for instrument control and data analysis is a powerful and versatile system for programming experiments, providing quick feedback of results, and managing data from all rubber testing instruments. The Scarabaeus Software was developed with customers from the rubber industry and is designed to meet the specific need of production and research.
The Scarabaeus Software system for instrument control and analysis integrates and organizes data from multiple instruments and historical tests. Data from RPA, MDR, Mooney Viscometer, Hardness, and Density tests can be organized, compared, and analyzed by material type, inventory order, date, and more. Advanced integration with even greater capability is also available.
This download is a full version of Orchestrator, but you must have a valid software security key to run it. If you are a registered Orchestrator user and already have a software security key from a previous Orchestrator version, this key will continue to function with this new version. If you do not have an Orchestrator security key please call your TA Instruments Technical Sales Representative for assistance.
Universal Analysis Software (UAS) provides a platform for analyzing and managing forensic genomic data, simplifying complex bioinformatics. The UAS is an all-inclusive solution, containing analysis modules supporting all current ForenSeq workflows including ForenSeq MainstAY, ForenSeq Kintelligence, ForenSeq DNA Signature Prep, ForenSeq mtDNA Whole Genome, and ForenSeq mtDNA Control Region. UAS rapidly generates FASTQ files, performs alignment, and calls forensically relevant variants from NGS data. Extensive testing backs highly reliable variant calls to deliver accurate results in a user-friendly package with no per-seat licenses.
Designed specifically for forensic analysts, UAS streamlines handling of base-by-base sequence information and contains a range of features to enable everything from efficient review of everyday STR profiles to detailed analysis of the most challenging samples. Laboratories can focus on routine casework or leverage population statistics, phenotypic estimation, dynamic filters, and more to explore all possibilities for human identification. Flexible analysis methods can analyze mtDNA data from home-brew and third-party libraries sequenced on the MiSeq FGx Sequencing System, and all reports are configured for interoperability with common third-party tools.
Designed specifically for forensic analysts, the Universal Analysis Software (UAS) simplifies complex bioinformatics and data management. The UAS is an all-inclusive solution, containing analysis modules for all Verogen ForenSeq kits, from STRs to mtDNA and SNPs. Extensive testing backs highly reliable variant calls to deliver accurate results in a user-friendly package with no per-seat licenses.
A secure interface with the MiSeq FGx System automates post-sequencing data analysis and minimizes hands-on time. Results are viewable through a web browser, with the convenience of accessing the software online or off. Review a summarized version of data or switch to a more in-depth view. Reports are easy to generate and use database friendly file formats.
A comprehensive suite of intuitive, interactive tools facilitates sample management, run setup, data visualization and reporting. From real-time run monitoring to sample comparisons and intensity plots, UAS features help laboratories make decisions and act on analytic insights. Color-coded quality indicators highlight run performance for at-a-glance status.
Providing access to powerful computing without the infrastructure burden, UAS ships preinstalled on a dedicated server. Version-controlled releases continuously expand and improve the platform to accommodate new applications and keep pace with evolving nomenclature conventions. Opt in or out of upgrades as desired for maximum flexibility and control.
We offer superior support across the entire workflow, from library prep to sequencing to analysis. Our experienced team provides comprehensive service coverage for your equipment and software, validation plans and implementation guidance so you can quickly operationalize your workflows with ease.
A problem that has been of recent interest in statistical inference, machine learning and signal processing is that of understanding the asymptotic behavior of regularized least squares solutions under random measurement matrices (or dictionaries). The Least Absolute Shrinkage and Selection Operator (LASSO or least-squares with $\ell_1$ regularization) is perhaps one of the most interesting examples. Precise expressions for the asymptotic performance of LASSO have been obtained for a number of different cases, in particular when the elements of the dictionary matrix are sampled independently from a Gaussian distribution. It has also been empirically observed that the resulting expressions remain valid when the entries of the dictionary matrix are independently sampled from certain non-Gaussian distributions. In this paper, we confirm these observations theoretically when the distribution is sub-Gaussian. We further generalize the previous expressions for a broader family of regularization functions and under milder conditions on the underlying random, possibly non-Gaussian, dictionary matrix. In particular, we establish the universality of the asymptotic statistics (e.g., the average quadratic risk) of LASSO with non-Gaussian dictionaries.
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Discovering the secrets of diseases from tear extracellular vesicles (EVs) is well-recognized and appreciated. However, a precise understanding of the interaction network between EV populations and their biogenesis from our body requires more in-depth and systematic analysis. Here, we report the biological profiles of different-size tear EV subsets from healthy individuals and the origins of EV proteins. We have identified about 1800 proteins and revealed the preferential differences in the biogenesis among distinct subsets. We observe that eye-related proteins that maintain retinal homeostasis and regulate inflammation are preferentially enriched in medium-size EVs (100 to 200 nm) fractions. Using universal analysis in combination with the Human Protein Atlas consensus dataset, we found the genesis of tear EV proteins with 37 tissues and 79 cell types. The proteins related to retinal neuronal cells, glial cells, and blood and immune cells are selectively enriched among EV subsets. Our studies in heterogeneous tear EVs provide building blocks for future transformative precision molecular diagnostics and therapeutics.
Unfortunately, many botanical compounds of interest lack chromophores or resist ionization, rendering conventional analytical methods, such as mass spectrometry, UV absorbance or evaporative light scattering detection, less than ideal. For this reason, high-performance liquid chromatography (HPLC) with charged aerosol detection (CAD) may be a preferable vehicle for analysis.
Using this approach, Acworth et al.1 established and evaluated specific methods for testing the following phytochemicals derived from botanical sources: triterpene glycosides from black cohosh, ginkgolides and bilobalides from ginkgo biloba, ginsenosides from ginseng, silibinins in milk thistle, ursane and oleanane triterpenes from gotu kola, and diterpene glycosides from stevia. While clinical and laboratory results vary and no supplement should be taken without the advice of a medical provider, some individuals use these compounds to treat menopause (black cohosh), increase memory and concentration (ginkgo biloba), reduce stress and fatigue (ginseng), decrease and repair liver damage (milk thistle), stimulate blood flow and the healing of wounds and skin conditions (gotu kola), and act as a low-calorie sweetener (stevia).1
HPLC with CAD allows researchers to nebulize analyte and produce droplets that are dried and charged prior to measurement by an on-board electrometer. This process is both sensitive and reproducible since it functions at low levels of detection and achieves
Acworth et al. report that HPLC with CAD demonstrates a dynamic range of approximately four orders of magnitude as well as a consistent response pattern among compounds with generally less than 10% variability between analytes. Other benefits of CAD over other methods include the ability to analyze both non-volatile and semi-volatile compounds, minimal impact by chemical structure on analyte response, and opportunity to estimate analytes even in the absence of external standards.
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