№ lp_2_3_33094
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Structured protocol describing acquisition and reporting standards for DTI imaging of the cervical spinal cord in clinical and research settings.
Year:
2026
Region / Institution:
Multicenter / International Working Group
Subject:
Spinal Cord Injury, Diffusion Tensor Imaging
Document Type:
Imaging Protocol
Target Audience:
Radiologists, MRI Technicians, Neurologists
MRI Field Strength:
1.5 T or 3 T
Acquisition Plane:
Axial
Sequence Type:
Reduced FOV EPI SE DTI
Parameters Included:
TR, TE, FA, FOV, Matrix size, Slices, Voxel size, Phase encoding, Fat suppression, Bandwidth, 2DRF tilt, Echo train length, b-values
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Year:
2026
Region / city:
Cambridge, UK
Document type:
Research study
Organization / institution:
University of Cambridge
Author:
Thais Minett, Li Su, Elijah Mak, Guy Williams, Michael Firbank, Rachael A. Lawson, Alison J. Yarnall, Gordon W. Duncan, Adrian M. Owen, Tien K. Khoo, David J. Brooks, James B. Rowe, Roger A. Barker, David Burn, John T. O’Brien
Target audience:
Researchers, medical professionals, clinicians
Study period:
18 months
Date of approval:
Not provided
Date of changes:
Not provided
Funding sources:
Parkinson’s UK, Lockhart Parkinson’s Disease Research Fund, NIHR, Wellcome Trust, Alzheimer’s Research UK
Supplemental Data:
SupplData 1, Table e-1
Context:
Longitudinal study examining white matter changes in Parkinson’s disease patients using diffusion tensor imaging to predict cognitive and motor decline.
Year:
2020
Region / City:
Mexico
Topic:
Physics, Electromagnetic Field, Curvature Tensor
Document Type:
Research Paper
Institution:
Metropolitan Autonomous University
Author:
Alcantara-Montes Samuel, Velazquez-Arcos Juan Manuel
Target Audience:
Researchers, Physicists, Academics
Effective Period:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Field:
Neuroimaging
Topic:
Diffusion tensor imaging metrics and white matter lesions in cerebral small vessel disease
Document type:
Literature review
Data sources:
MEDLINE; EMBASE
Imaging methods:
Diffusion Tensor Imaging (DTI); Magnetic Resonance Imaging (MRI)
Key metrics:
Fractional anisotropy (FA); Mean diffusivity (MD)
Medical conditions discussed:
Cerebral small vessel disease; stroke; Alzheimer’s disease; Parkinson’s disease; aging-related white matter changes
Anatomical focus:
White matter; white matter lesions; normal appearing white matter
Research objective:
Examination of how DTI-derived microstructural measures relate to white matter lesions of presumed vascular origin
Analytical approach:
Targeted database review, synthesis of findings, and critical appraisal of reported associations
Main variables:
WML burden; FA values; MD values; lesion location; disease context
Year:
2008
Region / City:
N/A
Topic:
Spinal Cord Injury, Imaging Techniques
Document Type:
Guidelines
Organization / Institution:
NINDS SCI Imaging Working Group
Author:
N/A
Target Audience:
Medical professionals, radiologists, spine surgeons
Effective Period:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Note:
Year
Topic:
SCI Boot mode, Flash Boot mode
Document type:
Technical guide
Target Audience:
Developers, engineers
Year:
2024
Field:
Rehabilitation Medicine; Urology; Spinal Cord Injury Research
Document Type:
Scientific Research Article
Authors:
Rochelle E. Tractenberg; Suzanne L. Groah; Sarah DiMeglio; Lance Goetz; Todd Linsenmeyer; Bonne Lee; Michael Kennelly; Claus Moser; Jürgen Pannek; Fin Biering-Sørensen
Affiliated Institutions:
Georgetown University Medical Center; MedStar National Rehabilitation Hospital; Hunter Holmes McGuire VA Medical Center; Kessler Institute for Rehabilitation; Prince of Wales Hospital; Charlotte Institute of Rehabilitation; Rigshospitalet; University of Copenhagen; Swiss Paraplegic Centre; Inselspital Bern University Hospital
Supporting Organization:
National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR)
Funding Award:
90SIMS009-01-00
Geographic Scope:
International
Subject:
Diagnostic criteria and standardized clinical data collection for urinary tract infection in individuals with spinal cord injury
Related Data Standards:
International Spinal Cord Injury Data Sets
Methodology:
Three-phase qualitative design including phenomenographic analysis, expert member-check, and international expert discussion
Key Outcome:
Revised urinary tract infection basic data set including additional variables for standardized global data collection
Corresponding Author:
Rochelle E. Tractenberg
Contact Email:
[email protected]
Year:
2024
Institution:
University of Wisconsin–Green Bay, Resch School of Engineering
Department:
Department of Computer Science
Course Code:
COMP SCI 452 – 0001
Course Title:
Operating Systems Using Linux
Credit Units:
3
Semester:
Spring 2024
Class Schedule:
Tuesday and Thursday, 3:30 PM – 4:50 PM
Location:
MAC-122
Instructor:
Iftekhar Anam, Ph.D., Associate Professor of Computer Science
Instructor Contact:
[email protected], (920) 465–2622
Office Location:
ES 109 C
Office Hours:
Monday 11:00 AM – 12:30 PM, Thursday 11:00 AM – 12:30 PM, by appointment
Prerequisites:
COMP SCI 207 and COMP SCI 351, minimum grade C in both
Required Textbook:
Operating Systems: Three Easy Pieces, Remzi H. Arpaci-Dusseau and Andrea C. Arpaci-Dusseau
Grading Policy:
Class performance 10%, Programming Labs 15%, Assignments and Projects 30%, Midterm 20%, Final Exam 25%
Software/Tools:
Linux environment (Ubuntu or other distribution), VirtualBox optional
Late Submission Policy:
10% penalty per day up to 5 days, exceptions by instructor approval
Course Delivery:
In-person lectures with Canvas for materials and announcements
Learning Outcomes:
Understand OS abstractions, virtualization, concurrency, persistence, Linux commands, shell scripting, and C programming
Year:
2026
Region / Institution:
Laboratory Animal Facility, unspecified location
Topic:
Spinal Cord Injury (SCI) Research
Document Type:
Experimental Data Table
Methods:
16S rRNA sequencing, Ki67 staining, aCaspase3/NeuN, IBA1/GFAP, CD68, GFAP/Fibronectin/Collagen I, PECAM-1 staining, BMS scoring, HE and NF-H staining
Subjects:
Mice
Groups:
Sham, SCI, ABX, FMT
Sample Sizes:
6–10 per group depending on analysis
Time Points:
7 days, 14 days, 35 days
End Points:
Survival, cellular proliferation, apoptosis markers, inflammation, vascular and fibrotic markers, functional scoring
Organization:
Society of Chemical Industry (SCI)
Program / Initiative:
SCI Formulation Forum
Document Type:
Questionnaire
Subject Area:
Formulation Science
Purpose:
Collection of professional profile information from specialists in formulation
Intended Respondent:
Professionals working in formulation science
Content Type:
Interview Questions
Topics Covered:
Career background, professional role, challenges in formulation science, industry perspectives, personal interests
Use Context:
Preparation of professional profiles or interviews for the SCI Formulation Forum community
Year:
2015
Region / City:
United States
Subject:
Antimicrobial Susceptibility Testing
Document Type:
Template
Organization:
Regional Medical Center
Author:
N/A
Target Audience:
Laboratory personnel involved in AST testing
Effective Period:
N/A
Approval Date:
N/A
Modification Date:
N/A
Note:
Year
Topic:
Cell biology, osmosis
Document type:
Educational lab procedure
Target audience:
Students, educators
Year:
2026
Region / city:
Cambridge, UK
Document type:
Research study
Organization / institution:
University of Cambridge
Author:
Thais Minett, Li Su, Elijah Mak, Guy Williams, Michael Firbank, Rachael A. Lawson, Alison J. Yarnall, Gordon W. Duncan, Adrian M. Owen, Tien K. Khoo, David J. Brooks, James B. Rowe, Roger A. Barker, David Burn, John T. O’Brien
Target audience:
Researchers, medical professionals, clinicians
Study period:
18 months
Date of approval:
Not provided
Date of changes:
Not provided
Funding sources:
Parkinson’s UK, Lockhart Parkinson’s Disease Research Fund, NIHR, Wellcome Trust, Alzheimer’s Research UK
Supplemental Data:
SupplData 1, Table e-1
Context:
Longitudinal study examining white matter changes in Parkinson’s disease patients using diffusion tensor imaging to predict cognitive and motor decline.
Subject:
Semiconductor physics
Topic:
Excess carrier transport
Type of document:
Scientific theoretical exposition
Physical context:
n-type semiconductor under uniform electric field
Main equation:
Carrier diffusion equation with drift and recombination terms
Key variables:
Δp(x,t), D, μ, E, G, τ, σ
Phenomena analyzed:
Diffusion, recombination, drift, carrier generation
Mathematical methods:
Partial differential equations, Gaussian approximation, exponential solution
Related experiment:
Haynes–Shockley experiment
Field of study:
Solid-state electronics
Field:
Neuroimaging
Topic:
Diffusion tensor imaging metrics and white matter lesions in cerebral small vessel disease
Document type:
Literature review
Data sources:
MEDLINE; EMBASE
Imaging methods:
Diffusion Tensor Imaging (DTI); Magnetic Resonance Imaging (MRI)
Key metrics:
Fractional anisotropy (FA); Mean diffusivity (MD)
Medical conditions discussed:
Cerebral small vessel disease; stroke; Alzheimer’s disease; Parkinson’s disease; aging-related white matter changes
Anatomical focus:
White matter; white matter lesions; normal appearing white matter
Research objective:
Examination of how DTI-derived microstructural measures relate to white matter lesions of presumed vascular origin
Analytical approach:
Targeted database review, synthesis of findings, and critical appraisal of reported associations
Main variables:
WML burden; FA values; MD values; lesion location; disease context
Year:
Not specified
Region / City:
Not specified
Subject:
Biology, Cell Biology
Document Type:
Lecture Outline
Institution:
Not specified
Author:
Not specified
Target Audience:
Students of Biology
Period of Effectiveness:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
The Can Challenge: Understanding the Best Ways to Incentivise Recycling through a Diffusion Approach
Year:
2024
Region / City:
United Kingdom
Subject:
Recycling behaviour and monetary incentives
Document Type:
Research article
Institution:
University of East Anglia, Norwich City Council, Norfolk County Council
Authors:
Michael Brock, Lucia M. Murgia, Stefania Sitzia, Jiwei Zheng
Target Audience:
Environmental policy makers, researchers in behavioural economics and sustainability
Methodology:
Field experiment
Locations:
Student accommodation, residential housing, workplace offices
Duration:
20 weeks (10-week monitoring phase, 10-week incentive phase)
Key Focus:
Drinks can recycling, aluminium recycling rates
Model Used:
Bass Diffusion Model
Policy Relevance:
Circular economy, waste management strategies
Year:
2018
Region / City:
London Borough of Lewisham
Document Type:
Air Quality Monitoring Report
Prepared by:
AECOM Limited
Author:
James Berman
Reviewed by:
Zadie Astill
Approved by:
Gareth Collins
Project Number:
60194269
Date of Approval:
May 2019
Revision History:
Draft 29/03/2019, Final 30/05/2019
Monitoring Locations:
50 diffusion tube sites
Sampling Period:
January 2018 – December 2018
Analyzed by:
Gradko International Ltd
Target Pollutant:
Nitrogen Dioxide (NO2)
Methodology:
TEA in acetone diffusion tube method
Compliance Standards:
UK and EU NO2 objectives