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The document is a research paper analyzing the past and future development trends in Bowdoinham, Maine, using spatial data and predictive modeling for urban planning.
Year:
2020
Region / City:
Bowdoinham, Maine
Subject:
Development, Urban Planning
Document Type:
Research Paper
Organization / Institution:
Bowdoinham Town Government
Author:
Rodger Heidgerken
Target Audience:
Local Government Officials, Urban Planners
Period of Validity:
2011-2024
Approval Date:
N/A
Modification Date:
N/A
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Document type:
Meeting minutes
Organization:
Town of Bowdoinham Solid Waste Committee
Meeting date:
July 8, 2020
Meeting format:
Virtual
Location:
Bowdoinham, Maine
Chair:
Cathy Curtis
Attendees:
Bryan Benson; Cathy Curtis; Lisa Wesel; Tessa Kingsley; Patrick McDonough; Susan Drucker; Michael Smith; Susan Brown; David Berry; Jeremy Cluchey; Peter Lewis
Topics:
Solid waste management; recycling materials; committee mission statement; expense account; trash tags; curbside pickup; recyclable markets; COVID-19 operational considerations
Decisions recorded:
Approval of previous minutes; adoption of mission statement; scheduling of site tour
Related documents:
Mission Statement draft; proposal on recyclable materials handling during Coronavirus time
Public access:
Approved minutes and agendas available to the public
Year:
2026
Region / City:
United States
Topic:
Economy, Retail, Small Business, Predictions
Document Type:
Podcast Transcript
Organization:
Main Street America
Author:
Matt Wagner
Target Audience:
Small business owners, entrepreneurs, retail professionals, nonprofit organizations
Period of Validity:
2026
Approval Date:
2026
Date of Changes:
None
Note:
Contextual Description
Year:
2026
Region / City:
Not specified
Topic:
Machine Learning, Health, Knee Pain Risk Prediction
Document Type:
Supplementary Material
Institution:
Not specified
Authors:
Not specified
Target Audience:
Researchers in biomedical data science and predictive modeling
Models Used:
Deep Neural Network (DNN), Stacked Ensemble, GBM, GLM, Random Forest
Features Analyzed:
Lipid biomarkers (LDL-C, HDL-C, triglycerides, cholesterol), LAP, CTI, TyG, TyG-BMI
Data Visualization Methods:
SHAP force plots, SHAP decision plots, SHAP dependence plots
Purpose:
Explain individual-level model predictions and feature contributions
Year:
2024
Region / City:
Nantes, France
Topic:
Computational Fluid Dynamics, Hydrodynamics, High-Speed Planing Craft
Document Type:
Conference Paper
Organization / Institution:
Naval Surface Warfare Center, Naval Hydrodynamics Department, Leidos Corporation, University of Iowa, United States Naval Academy
Authors:
T. C. Fu, K. A. Brucker, S. M. Mousaviraad, C. M. Ikeda, E. J. Lee, T. T. O’Shea, Z. Wang, F. Stern, C. Q. Judge
Target Audience:
Researchers, Engineers, Hydrodynamics Experts
Period of Application:
2024
Approval Date:
2024
Date of Changes:
Not specified
Year:
2020
Region / city:
22 countries
Topic:
Excess mortality, COVID-19
Document type:
Research article
Organization / institution:
Various universities and research centers
Authors:
Achilleos, Souzana; Quattrocchi, Annalisa; Gabel, John; Heraclides, Alexandros; Kolokotroni, Ourania; Constantinou, Constantina; Pagola Ugarte, Maider; Nicolaou, Nicoletta; Rodriguez-Llanes, Jose Manuel; Bennett, Catherine Marie; Bogatyreva, Ekaterina; Schernhammer, Eva; Zimmermann, Claudia; Costa, Antonio Jose Leal; Lobato, Jackeline Christiane Pinto; Fernandes, Ngibo Mubeta; Semedo-Aguiar, Ana Paula; Jaramillo Ramirez, Gloria Isabel; Martin Garzon, Oscar Dario; Mortensen, Laust Hvas; Critchley, Julia A.; Goldsmith, Lucy P.; Denissov, Gleb; Rüütel, Kristi; Le Meur, Nolwenn; Kandelaki, Levan; Tsiklauri, Shorena; O’Donnell, Joan; Oza, Ajay; Kaufman, Zalman; Zucker, Inbar; Ambrosio, Giuseppe; Stracci, Fabrizio; Hagen, Terje P.; Erzen, Ivan; Klepac, Petra; Arcos González, Pedro; Fernández Camporro, Ángel; Burström, Bo; Pidmurniak, Nataliia; Verstiuk, Olesia; Huang, Qian; Mehta, Neil Kishor; Polemitis, Antonis; Charalambous, Andreas; Demetriou, Christiana A.
Target audience:
Researchers, public health professionals, policy makers
Period of validity:
January - August 2020
Approval date:
Not specified
Date of amendments:
Not specified
Context:
The study analyzes excess all-cause mortality and its relation to COVID-19 across 22 countries, comparing observed mortality against baseline data from 2015-2019, revealing varying mortality trends influenced by geographical location and stringency of control measures.
Year:
2023
Region / city:
Perth, Australia
Subject:
Gastroesophageal reflux, sleep disorders
Document type:
Research protocol
Institution:
Sir Charles Gairdner Hospital
Author:
Not specified
Target audience:
Medical researchers, healthcare professionals
Period of action:
Not specified
Date of approval:
Not specified
Date of amendments:
Not specified
Year:
2021
Region / city:
United States
Topic:
Concussions, Impulsivity, Football
Document Type:
Supplemental Material
Organization / Institution:
Cornell University
Authors:
David M. N. Garavito, Valerie F. Reyna, Sarah M. Edelson, Christine Lin
Target Audience:
Researchers, Academics, Students
Period of validity:
N/A
Approval Date:
N/A
Date of changes:
N/A
Note:
Contextual Description
Year:
2015–2019
Data source:
Reddit public posts
Platform:
Reddit
Number of subreddits analyzed:
245
Data repositories:
Google BigQuery; Pushshift Reddit repository
Data collection method:
Pushshift.io API
Unit of analysis:
Submissions (original posts)
Additional analysis:
Comments (sensitivity analysis)
Analytical approach:
Natural language processing and manual expert review
Text processing:
Unigrams and bigrams
Algorithm:
Word2vec (Mikolov et al., 2013)
Model type:
Neural network-based word embeddings
Substance categories:
THC/Marijuana; CBD; Synthetic Cannabinoids
Time frame analyzed:
January 1, 2015 – June 31, 2019
Keywords source:
Supplementary Table 1
Type of document:
Supplementary digital methodology
Subject:
Temporal trends in vaping-related discussions about cannabis products
Year:
2017–2018
Location:
University of Ibadan, Nigeria
Study Sites:
Teaching and Research Farm (TRF); Botanical Garden (BG); Department of Botany (DB)
Subject:
Petiveria alliacea L. and understory plant species
Family:
Phytolaccaceae
Keywords:
Relative Importance Value (RIV); Jaccard Similarity Index; seasonal variation; species richness; secondary forest
Type of Document:
Scientific research article
Field:
Forest Ecology; Plant Ecology; Biodiversity Conservation
Methodology:
Quadrat sampling (1 m²); systematic sampling; floristic enumeration; descriptive statistics; secondary weather data analysis
Seasons Covered:
Wet and Dry Seasons (WS1, WS2; DS1, DS2)
Study Focus:
Species composition, abundance, richness, and similarity across spatial and temporal scales
Geographical Context:
Secondary forest ecosystems in southwestern Nigeria
Title:
Sample Site Temporal Data Map with Transmission Data
Format:
Web Application Guide
Platform:
ArcGIS Online
Application Type:
Web Map Viewer
Subject:
Sample Site Monitoring and Chlorine Residual Data
Data Type:
Temporal and Transmission Data
Access Requirements:
ArcGIS Online Credentials
Functional Components:
Map Navigation Tools, Layer Management, Selection Tools, Query Tools, Filters, Time Slider, Attribute Table
Export Options:
CSV Export
Visualization Features:
Line Graphs, Bar Graphs, Infographics, Map Symbology
Geographic Scope:
Interactive Map Interface
Intended Users:
Authorized ArcGIS Online Users
Authors:
Chi Wang; Mengyi Zheng; Cuijuan Yun; Zekun Feng; Yanjie Li; Shuohua Chen; Shouling Wu; Hao Xue
Academic Degrees:
MD
Document Type:
Supplementary Data
Study Design:
Longitudinal cohort study
Main Topic:
Systemic inflammation, atherogenic dyslipidemia, and incident cardiometabolic disease
Biomarkers Assessed:
C-reactive protein (CRP); Atherogenic index of plasma (AIP)
Outcomes:
Cardiometabolic disease (CMD); Cardiovascular disease; Type 2 diabetes mellitus (T2DM)
Statistical Measures:
Hazard ratios (HR); 95% confidence intervals (CI)
Subgroup Analyses:
Sex-specific analyses (women n=16,870; men n=61,336)
Analytical Methods:
Sensitivity analyses; Time-dependent variable models; Cross-lagged analysis (2006–2010); Mediation analysis
Adjustment Variables:
Age; Sex; Body mass index; Blood pressure; Heart rate; Fasting blood glucose; LDL cholesterol; Estimated glomerular filtration rate; Smoking status; Alcohol consumption; Physical activity; Educational level; Salt intake; Sleep disorders; Family history of myocardial infarction, stroke, and diabetes; Antihypertensive and lipid-lowering medication use
Year:
2021
Region / City:
Zhejiang Province, China
Topic:
Epilepsy, Neuroscience
Document Type:
Research Article
Organization / Institution:
Zhejiang University
Author:
Lin Zhou, Liang Zhou, Li-Da Su, Sheng-Long Cao, Ya-Jun Xie, Ying Shen
Target Audience:
Researchers in neuroscience and epilepsy
Period of Action:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2023
Region / City:
N/A
Subject:
Neurosurgery, Aneurysm Surgery, Ultrasound Technology
Document Type:
Case Report
Institution:
N/A
Author:
N/A
Target Audience:
Medical professionals, neurosurgeons
Period of Action:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Year:
2025
Region / City:
Gaza Strip
Topic:
International Relations, Peacekeeping, Politics of Time
Document Type:
Academic Paper
Institution:
City St George’s – University of London
Author:
Margot Tudor
Target Audience:
Academics, International Relations Scholars, Students of Peace Studies
Period of Validity:
2025-2026
Date of Approval:
2025
Date of Modifications:
N/A
Keywords:
United Nations, Palestine, Time, Peacekeeping, Occupation, Peace
Note:
Contextual Description
Year:
2026
Region / city:
Not specified
Subject:
Angiogenesis, wound healing, tumor stroma
Document type:
Supplemental scientific figures and tables
Institution / organization:
Not specified
Author:
Not specified
Model organism:
Mouse
Experimental intervention:
Ad-VEGF-A164 injection, anti-VEGFR2 (DC101) and anti-VEGF (G6) treatment
Sample size:
10 ears per treatment per time point (unless otherwise noted)
Data sources:
The Cancer Genome Atlas (TCGA), Lei et al Singapore cohort, ACRG gastric cohort
Analysis methods:
Differential gene expression, hypergeometric enrichment, heatmap clustering, RPPA protein profiling, Kaplan-Meier survival analysis
Gene signatures:
Signature 1, Signature 2, Signature 3
Key measurements:
mRNA expression of VE-Cadherin (CDH5), smooth muscle actin (Acta2), protein analytes
Time points:
Day 5, Day 20, Day 60
Histological classification:
Lauren, EMT, MSI, P53N, P53P
Relevant pathways:
VEGF signaling, vascular and stromal development, inflammatory response, endothelial genes
Year:
2026
Region / City:
United States / Ann Arbor, MI
Topic:
Literary Theory, Poetics
Document Type:
Academic Monograph Proposal
Institution:
University of Michigan
Author:
[Name not specified in text]
Target Audience:
Undergraduate and graduate students in English and Linguistics
Project Length:
135,000 words
Related Works:
11-book project on Temporal Poetics
Research Period:
1980–2026
Courses Taught:
Introduction to Poetry, Major Author Courses
Analyzed Poets:
E.E. Cummings, Robert Frost, William Carlos Williams, Elizabeth Bishop, Wallace Stevens, Marianne Moore
Year:
N/A
Region / city:
N/A
Subject:
N/A
Document type:
Scientific figure
Institution:
N/A
Author:
N/A
Target audience:
Researchers in MR spectroscopy
Effective period:
N/A
Approval date:
N/A
Modification date:
N/A
Note:
Description
Year:
1958
Author:
E.E. Cummings
Type of Document:
Poem Analysis
Poem Title:
"maggie and milly and molly and may"
Topic:
Literary Analysis
Target Audience:
Literary Scholars, Poetry Enthusiasts
Institution:
None
Language:
English
Period of Application:
Not specified
Date of Approval:
Not specified
Date of Changes:
Not specified
Year:
2019–2024
Study Type:
Clinical study
Groups:
PH Group, CV Group
Sample Size:
225 per group
Measured Parameters:
Tidal Volume, PEEP, EtCO₂, PaCO₂, SpO₂, rSO₂, FiO₂, Hemoglobin, pH
Interventions:
Ventilation adjustments based on intraoperative CO₂ levels
Outcome Measures:
Postoperative oxygen supplementation, final cerebral oxygen saturation, intraoperative ventilation management
Target Population:
Surgical patients undergoing controlled ventilation
Data Collection Period:
2019–2024
Source Type:
Supplementary tables from research article