№ files_lp_3_process_9_52608
File format: docx
Character count: 43222
File size: 146 KB
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.
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The product description is provided for reference. Actual content and formatting may differ slightly.
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
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:
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
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
Note:
Year
Topic:
Cell biology, osmosis
Document type:
Educational lab procedure
Target audience:
Students, educators
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