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2020-287 – 5G telecommunication technology has several advantages over its predecessors. However, conducting research in 5G poses several challenges: 1) no mature tool for smartphones (i.e. user equipment or UE) to collect UE-side measurements related to 5G and its performance; 2) the 5G-NR (New Radio) related APIs in Android OS's latest version 10 does not provide meaningful information... Read More
2019-355 – Researchers at the University of Minnesota have developed a lightweight algorithm using machine learning for predicting the risk of 6-month mortality at the time of hospital admission. Using just 8 different variables collected during the first 48 hours of hospitalization, this algorithm predicted death within 6-months with an AUC of 0.92. The discriminative ability of this... Read More
2020-192 – PADQOL™ is a validated, peripheral artery disease (PAD)-specific quality of life (QoL) questionnaire that quantifies the subjective patient experience and impact of PAD on those living with this debilitating disease. This 38-item questionnaire can be used to assess the health-related quality of life pertaining to 5 broad factors: Through the scores from these factors, and... Read More
2021-009 – Researchers at Minnesota Center for Prion Research and Outreach (MNPRO™) have developed a 3D printable head and neck model of a white-tailed deer. Generated using high resolution CT scan images, this 3D model is an anatomically accurate representation of a white-tailed deer with a focus on the skeleton, salivary glands and medial retropharyngeal lymph nodes. This realistic deer... Read More
2021-008 – Researchers at the Minnesota Center for Prion Research and Outreach (MNPRO™) have developed an informative and captivating e-booklet that describes the nature, transmission and progression of chronic wasting disease. With succinct, easy-to-read descriptions and attractive graphical illustrations, this 28 paged e-booklet provides a basic understanding of the disease in an engaging way... Read More
2019-211 – Researchers at the University of Minnesota have developed an end-to-end framework that uses deep neural networks to extract temporal transition structure of the sleep stages using raw flow signals. This method can be used to accurately track sleep metrics like sleep efficiency calculated from sleep stages as the response of CPAP therapy. Health-care providers can monitor the... Read More
2019-285 – Elderly trauma patients are at high risk of mortality even when presenting with minor injuries. Providing proper medical care is especially challenging as these patients are medically complex and generate many ethical, financial, and moral questions. To support clinical decision making, mortality risk score models such as the Geriartric Trauma Outcome (GTO) score can be used to... Read More
2020-340 – The Minnesota Solvation Database consists of a collection of 3037 experimental free energies of solvation or transfer free energies for 790 unique solutes in 92 solvents (including water) and gas-phase M06-2X/MG3S optimized molecular geometries in Cartesian coordinates for the corresponding solutes. All of the 790 solutes in this database (541 neutrals and 249 singly-charged... Read More
2020-285 – Currently available human body expression datasets typically focus on one or two of the various human body expressions. For instance, the Panoptic Studio dataset consists of images focusing on hand and body expressions, and does not capture gaze, face or clothing. On the other hand, datasets like Columbia gaze and Eyediap are limited to gaze expression alone. Therefore, these... Read More
2019-272 – Distributed Storage System (DSS), a technology used by data-intensive technologies such as cloud computing, consists of a large number of inexpensive storage devices that are prone to failures. Modern DSSs are equipped with a repair procedure to ensure continued operation and reproduce the data lost due to such node failures. Regenerating codes are a class of codes... Read More
20170197 – Executive Statement Researchers at the University of Minnesota have developed a smartphone-based personal assistive navigation system to support situational awareness for people with vision impairment. Other available solutions include GPS-based and inertial navigation systems, and machine vision technologie. Adoption of these systems has been poor due to cost and... Read More
2019-071 – The Minneapolis Institute of Art (MIA) becomes a giant puzzle room with the free “Riddle Mia This” app. Players work individually or as a team to solve an interactive museum mystery using the app to search for clues in the artworks to expose a secret society. The app creates an augmented reality puzzle room and helps guide players through the museum. Instead of building new rooms or... Read More
20180356 – While wearables, such as FitBit and other activity trackers, are useful for tracking and recording user’s physical and sleep activities, annotation and effective interpretation of data requires expertise. Moreover, evaluation of longitudinal activity data is done only in retrospect. Recently, researchers at the University of Minnesota developed a data mining and machine learning... Read More
20180173-20180174-20180175-20180176-20180177-20180178 – A software portfolio for assessing and mitigating food supply chain risk ensuring we have a reliable source of food. FDA mandatory food recall alerts come far too late, after the majority of sickness has already occurred and the majority of processing, packaging and shipment has already taken place. The delayed issuance of FDA warnings can be very expensive for companies.... Read More
20180320 – A smartphone app (iTorsion) for diagnosis of ocular torsion by physicians. It is not intended for self-diagnosis by patients. Patients wear standard red/green glasses. While holding the smartphone perpendicular to the ground, the patient should predominantly see one line out of each eye. The patient is asked to make the lines parallel with each other and with the ground. After finishing... Read More
20180310 – This technology is a software based model for analyzing whole brain diffusion magnetic resonance imaging (dMRI) and functional magnetic resonance imaging (fMRI) data to estimate function specific brain circuits. The approach reveals detailed anatomical connectivity patterns for each functional module and recovers structural connections that are underestimated by diffusion MRI (dMRI).... Read More
20180108 – A novel lane departure warning system (LDWS) alerts drivers of unintended lane drifting. The method uses standard global positioning system (GPS) receivers and low-resolution map references to detect lane departure based on the relative trajectory of the vehicle. In future phases, the Advanced Driver Assistance System (ADAS) will use Dedicated Short Range Communication (DSRC)... Read More
20170420 – Artificial Resynthesis Technology (ART-5) is a mechanical mouth that tests food products and dental materials by simulating the mechanics of the human chewing process. It provides information on the environmental conditions found in the human mouth. The chewing machine or artificial mouth has a computerized feedback control that mimics the human chewing motion, especially its ability to... Read More
20180168 – New, detailed geologic maps of the Boundary Waters Canoe Area Wilderness (BWCAW) include lakes, campsites, portages, trails and altitude maps. These new maps are color-coded based on bedrock geology and include a complete geologic legend and printed summaries of the geology. The maps, provided to publishers as print-ready Adobe PDF or editable Illustrator files, would be a valuable... Read More
20130008 – A novel route-planning algorithm dynamically updates routes by incorporating real-time traffic data to accurately predict future travel times and traffic situations. The algorithm’s temporally detailed (TD) roadmaps contain travel time information about road segments at all times of the day and week at fine temporal resolutions (seconds or minutes). By using better modelling of the... Read More
20110121 – A new system provides multiple imputation of missing data elements in retail data sets used for modeling and decision support applications. The method is based on the multi-dimensional, tensor structure of the data sets and offers a fast, scalable scheme suitable for large data sets. The computer-implemented algorithm first identifies a retail data set (a measured quantity of... Read More
20090032 – A new algorithm tracks exterior and interior surfaces of organs to provide a surgeon with a real-time, 3D view of organs as they deform. The 3-D reconstruction allows the surgeon to “see” through the wall of an organ during surgery rather than just look at its surface. The algorithm is based on sparse sampling of the exterior surfaces tracked by identifying subspaces in which the... Read More
20160347 – The MnMotion System™ is an easy to use clinical tool to accurately measure, diagnose and objectively track progress for shoulder movement disorders. The system consists of a physical component that attaches to a mobile device or smartphone and accurately measures shoulder positions. The handle maximizes accuracy of measurement, including location of fingers relative to important bony... Read More
20170266 – An algorithm uses prognostic models based on electronic medical record (EMR) data to predict one-year mortality risk. The random forest model, which predicts the risk of death within a year of the last day of hospitalization, is remarkable as a broadly applicable prognostic model that does not focus on a specific disease. The model is derived from about 100,000 hospital discharges, is... Read More
20150270 – A handheld device used in conjunction with a smartphone can measure three-dimensional angles of the scapula during arm movement. The device attaches to a smartphone with an adjustable mounting apparatus, and a custom smartphone application integrates the phone’s sensors and data recording ability to measure and record scapular angles during arm motion. By measuring all three angles of... Read More
20170355 – A dual-incentive peer mentoring model, Positive Peer-Pressured Productivity (PQUAD), shows promising results in increasing academic productivity of early-career faculty and trainees. PQUAD is a virtual scholarship leaderboard which combines an increased awareness of peers’ academic work with a weighted lottery for which tickets are earned on the basis of academic output. The incentive... Read More
20170140 – A new, versatile optimization technique enables microstructure imaging of crossing white matter fibers. Microstructure Imaging of Crossing (MIX) White Matter Fibers is a novel regression method that can characterize tissue microstructure in the brain white matter from diffusion MRI (dMRI) data. The technique is robust, versatile and utilizes the Variable Separation Method (VSM) to fit... Read More
20160116 – The University of Minnesota’s Bee Squad has developed a safe and effective varroa mite testing kit for beekeepers. The kit, based on the University of Nebraska's non-destructive testing method called the “powdered sugar roll,” monitors varroa mite levels in honey bee colonies and supports beekeepers in regular mite monitoring to better manage their colonies based on mite levels. The... Read More
20170064 – A software program based on Fourier transform methods (FTM) provides accurate image-based fiber orientation and alignment data in tissue samples. FTM surpassed other methods in delivering accurate results, findings confirmed by applying FTM to SEM micrographs of fibrin tissue analogs. The code may also be used to characterize fiber orientation or other microstructural features in a... Read More
20170002 – CG-TARGET (Chemical-Genetic Translation via A Reference Genetic interaction nETwork) software is a pipeline that uses a genetic interaction network for predicting the molecular target of a compound/mode-of-action from chemical-genetic interaction profiles. Three input datasets (chemical-genetic interaction profiles, reference genetic interaction profiles, and a mapping from the query... Read More
20170001 – BEAN-counter (Barcoded Experiment Analysis from Next-generation sequencing) software is a pipeline for quantitative scoring of chemical-genetic interactions from sequencing-based chemical-genetic interaction screens. It provides a complete toolset for processing multiplexed sequencing data from barcoded mutant pools into chemical-genetic interaction profiles, based on these basic inputs:... Read More
20150048 – An inexpensive laparoscopic camera handling trainer (CHT) provides effective training for 30° laparoscopic camera navigation. The device consists of a transparent Plexiglas viewfinder, trocar support and a graphical path for users to navigate. The viewfinder is connected to a monitor that displays images from the camera and features a geometric shape indicates correct targeting of the... Read More
20110246 – A principal components analysis (PCA) algorithm has been created which is more robust to outliers and data corruption than those in current usage. PCA is one of the most useful and widely used algorithms for data analysis and is useful in areas of data mining and machine learning, but is very sensitive to outliers and corruption. The developed alternative PCA algorithm is not only much... Read More
20160047 – FRAME is an interactive, online training software package that provides comprehensive, standardized training with measurable results for any type of organization, discipline or career path. Its online framework ensures consistency, as the same training is accessible to any worker, anytime, anywhere in the world. The software features a matrix whereby workers are trained in user-defined... Read More
20160234-4 – A 4-mm punch biopsy was acquired from a 44-yr old Caucasian male, fixed and vertically sectioned into 200-micron sections. Sections were multi-stained with antibodies to visualize nerves (PGP9.5, blue) and melanocytes (MEL1, yellow) of the hair bulb and the epidermis. This image was captured using laser scanning confocal microscopy at 200X magnification and is a projection... Read More
20160234-3 – A 4-mm punch biopsy was acquired from a 34-yr old Caucasian male, fixed and vertically sectioned into 200-micron thick sections. The sample was stained with antibodies to visualize nerves (PGP9.5, green) and with the plant lectin, Ulex europeaous-FITC (red) which binds to follicular keratinocytes. This image was captured using laser scanning confocal microscopy at 200X... Read More
20160234-2 – A 4-mm punch biopsy was acquired from a healthy Caucasian subject, fixed and vertically sectioned into 200-micron-thick sections. Sections were stained with the plant lectin, Ulex europeaous conjugated to FITC (yellow). This lectin binds to l-fucose moieties, a carbohydrate abundant in human blood vessels. This image was captured using laser scanning confocal microscopy at... Read More
20160234 – The Ericson Lab at the University of Minnesota has been examining, imaging and quantifying biomarkers in skin and other organs using laser scanning microscopy and three-dimensional analysis since 1996. The lab has successfully administered and secured funding for several collaborative projects (including staffing, research protections, budgets and experimental plans) and produced several... Read More
20160234-1 – A 4-mm punch biopsy was acquired from a healthy 44-yr old Caucasian male, fixed and vertically sectioned into 200-micron-thick sections. Sections were multi-stained with antibodies to the neuropeptide calcitonin gene related peptide (CGRP, green), nerves (PGP9.5, red), and vasculature (Ulex europeaous-FITC, blue). This image was captured using laser scanning confocal... Read More
20150024 – Daynamica is an innovative smartphone application that tracks and collects highly-detailed user activity and travel data. Using real-time data mining of raw sensor data with smartphone GPS and accelerometer data, the app automatically detects and classifies daily activity and travel. By allowing users to view and edit/customize the information, the software can collect more detailed data... Read More
20120080 – CoreSHIELD is an online collaboration and information sharing tool that allows professionals to identify and securely communicate with their counterparts in similar positions in other organizations, anywhere in the nation. Users maintain detailed profiles identifying their roles, making it easy to search for and connect with functional counterparts despite geographic, organizational or... Read More
20150084 – Potential food threats and adverse food events can quickly be identified and shared with food and agriculture stakeholders using the Focused Integration of Data for Early Signals (FIDES) tool. Initiated by the Food Protection and Defense Institute, FIDES integrates big data compiled from non-traditional sources (e.g., trade, economics, meteorology, global policies, social media,... Read More
20160061 – A comprehensive study presents a unique analysis of marginal emission factors for three pollutants from electricity generation in the eleven-state Midcontinent Independent System Operator (MISO) region. Researchers estimate both average emission factors and marginal emission factors for carbon dioxide (CO), sulfur dioxide (SO), and nitrogen oxides (NO) from fossil-fired generators in... Read More
20160049 – A new graphical user interface (GUI) guides users easily through the process of implementing Storn and Price’s differential evolution algorithm for optimization applications, such as in optimizing solution compositions for freezing media for a cell type. Not only does this software program customize the algorithm for optimizing solution compositions, but a user-friendly GUI prompts users... Read More
20160076 – A newly-developed assessment tool designed by pediatric neuroscientists and physicians allows practitioners of pediatric non-invasive brain stimulation to anticipate and address potential issues from adverse events. The assessment helps investigators assess and manage any adverse effects from non-invasive brain stimulation – and possibly helps prevent them from occurring in the first... Read More
20150081 – Through use of an open-source commodity computing platform Apache Hadoop, and an extension labeled Spatial Hadoop, it is possible to perform spatial analysis on large quantities of location and GPS data. Please Note: SpatialHadoop has been adopted by the Eclipse Foundation under the name GeoJinni. Today’s availability of big data sets brings high demand for computational power.... Read More
20150057 – The most common malignant symptom of incontinence is skin damage or dermatitis. The buttocks, hips, and thighs are especially prone to skin breakdown when exposed to the moisture and chemicals in incontinence fluids. Skin damage prevention involves careful hygiene in the affected regions, but treatment is an involved process that depends on the severity of the skin damage. There exists a... Read More
20150056 – The Online Global Health Course prepares today’s medical professional to practice medicine and public health in an increasingly mobile world. With more than one billion people crossing international boundaries annually, every clinician, regardless of location of practice must be familiar with working across cultures and with infections and diseases in an increasing diverse world. In... Read More
20130206 – The Criticality Spatial Analysis (CRISTAL) corporate risk software instantly traces products across multiple companies, identifying specific points in the system that are at risk of failure. The technology was developed by the National Center for Food Protection and Defense for performing corporate food traceability. By documenting parallel systems (i.e. food, water, chemicals,... Read More
20130141 – The Sanfilippo Behavior Rating Scale questionnaire can define Sanfilippo syndrome behavior along a specific pattern and progression of behavioral symptoms. This is the only known scale specifically for the syndrome. Sanfilippo syndrome (also known as Mucopolysaccharidosis type III) is a genetic neurological disease which manifests early in life, generally ending in death in adolescence... Read More
