№ files_lp_4_process_3_132908
File format: docx
Character count: 2008
File size: 491 KB
Year:
2023
Location:
Inova Loudoun Hospital, Virginia, USA
Topic:
Preoperative Medicine
Document Type:
Educational Event Announcement
Organizing Body:
Inova Office of Continuing Medical Education
Presenter:
BobbieJean Sweitzer, MD
Target Audience:
Physicians, Advanced Practice Providers, Nursing and Support Team
Accreditation:
Medical Society of Virginia
CME Credit:
1.0 AMA PRA Category 1 Credit(s)™
Format:
Virtual Zoom Lecture
Date:
April 27, 2023
Time:
12:30 PM
Meeting Details:
ID 927 2599 6052, Passcode 937504
Price: 8 / 10 USD
The file will be delivered to the email address provided at checkout within 12 hours.
The file will be delivered to the email address provided at checkout within 12 hours.
Don’t have cryptocurrency yet?
You can still complete your purchase in a few minutes:- Buy Crypto in a trusted app (Coinbase, Kraken, Cash App or any similar service).
- In the app, tap Send.
- Select network, paste our wallet address.
- Send the exact amount shown above.
The final amount may vary slightly depending on the payment method.
The file will be sent to the email address provided at checkout within 24 hours.
The product description is provided for reference. Actual content and formatting may differ slightly.
General Decision Number:
VA20260200
Superseded General Decision Number:
VA20250200
State:
Virginia
Construction Type:
Heavy
County:
Loudoun County
Publication Date:
01/09/2026
Modification Number:
1
Rates and Fringes:
Listed for Mason, Carpenter, Form Worker, Electrician, Power Equipment Operator, Ironworker, Laborer, Cement Mason/Concrete Finisher, Pipefitter, Welders
Executive Orders:
EO 13706 Paid Sick Leave, EO 13658 Minimum Wage
Regulatory Reference:
Davis-Bacon Act, 29 CFR 5.5(a)(1)(iii)
Source:
U.S. Department of Labor Wage and Hour Division
Effective Period:
Various as per individual classifications
Year:
2024
Region / City:
Loudoun County, VA, US
Category:
Diversity in Travel Tourism
Type of Document:
Nomination Form
Organization:
Visit Loudoun
Event Date:
April 25, 2025
Submission Deadline:
February 28, 2025
Nominee Information Included:
Yes
Contact Information Required:
Yes
Submission Requirements:
High-resolution portrait image of nominee
Year:
2013-2014
Region / District:
Loudoun County, Virginia, USA
Subject:
Mathematics
Focus Areas:
Functions, Algebra, Data Analysis
Type of Document:
Curriculum Guide
Publisher:
Loudoun County Public Schools
Audience:
Teachers, Curriculum Coordinators
Grade Level:
High School (Algebra I)
Structure:
Four quarters, ten units, block-based instruction
Assessment:
Embedded per unit
Resources:
Additional curriculum information available through CMS
Year:
Not specified
Region / City:
Not specified
Topic:
Preoperative assessment and consultation
Document Type:
Template
Institution:
Not specified
Author:
Not specified
Target Audience:
Healthcare professionals involved in preoperative assessment
Period of Validity:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2021
Region / City:
Żory, Poland
Topic:
Pain Management, Dental Surgery
Document Type:
Research Article
Institution:
Medical University of Silesia in Katowice
Authors:
Hanna Frelich-Truchel, Rafał Wiench, Piotr Wichary, Henryk Frelich, Hanna Misiołek
Target Audience:
Medical professionals, dental surgeons, anesthesiologists
Period of validity:
N/A
Date of Approval:
2021
Date of Changes:
N/A
Year:
2025
Type of document:
Supplementary digital content
Topic:
Computational preoperative risk stratification in pancreatic surgery
Methods:
Radiomics, feature extraction, hierarchical clustering, machine learning models
Patient cohorts:
Dresden (Development), Heidelberg (External Test)
Imaging modality:
CT
Software/Tools:
TotalSegmentator v1.5.6, MIRP v2.0.0
Number of extracted features:
654
Cluster analysis:
Hierarchical agglomerative clustering
Comparison:
AutoFRS vs traditional FRS risk stratification
Content sections:
Patient selection, CT imaging characteristics, Totalsegmentator configuration, MIRP feature extraction, Feature clustering, Radiomics and clinical signatures, Evaluation of models, Web application, Glossary
Year:
2023
Region / city:
N/A
Topic:
Hepatectomy procedure and postoperative care
Document type:
Medical protocol
Organization:
N/A
Author:
N/A
Target audience:
Healthcare professionals, surgeons, anesthesiologists
Effective period:
N/A
Approval date:
N/A
Amendment date:
N/A
Year:
2010–2022
Region / City:
Hyogo, Japan
Subject:
Biliary Tract Cancer, Sarcopenia, Surgical Outcomes
Document Type:
Clinical Study
Institution:
Meiwa Hospital, Department of Surgery
Authors:
Shinichi Ikuta, Tsukasa Aihara, Takayoshi Nakajima, Meidai Kasai, Naoki Yamanaka
Target Audience:
Oncologists, Surgeons, Clinical Researchers
Patient Cohort:
211 patients undergoing BTC resection
Primary Tumor Sites:
Intrahepatic bile duct, Extrahepatic bile duct, Gallbladder, Ampulla of Vater
Follow-up Method:
Disease-specific survival (DSS), Relapse-free survival (RFS)
Ethics Approval:
Institutional Ethics Committee of Meiwa Hospital, approval No. 2022-36
Year:
2023
Region / City:
N/A
Topic:
Preoperative Physical Therapy
Document Type:
Instructional Guide
Institution:
N/A
Author:
N/A
Target Audience:
Patients preparing for joint replacement surgery
Period of Validity:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Year:
2023
Region / city:
Not specified
Topic:
Medical research, Neoadjuvant therapy
Document type:
Data table
Organization / institution:
Not specified
Author:
Not specified
Target audience:
Medical professionals, researchers
Period of validity:
Not specified
Approval date:
Not specified
Modification date:
Not specified
Year:
2020
Region / Hospital:
Not specified
Subject Area:
Clinical Research / Surgical Patient Management
Document Type:
Case Report Form (CRF)
Organization:
ERAS+ Study Network
Author:
Clinical Research Team
Target Audience:
Clinicians and researchers at participating sites
Version Control:
2.1
Date of Version:
11/02/2020
Changes from Previous Version:
Updated dataset, new/altered questions (1.8; 2.4a; 2.4b; 2.34; 2.35; 3.2; 3.13; 6.18; 6.19; 7.2), removed questions 3.1 and 3.2
Patient Population:
Adults undergoing surgical procedures at ERAS+ sites
Data Collected:
Demographics, surgical admission, preoperative assessment, clinical and laboratory values, comorbidities, risk assessment, postoperative planning
Context:
Structured clinical case report form collecting preoperative, perioperative, and follow-up data for patients enrolled in ERAS+ surgical studies.
Year:
2020-2024
Location:
La Roche-sur-Yon, France
Subject:
Temporary ileostomy, stoma care, quality of life
Document type:
Clinical study
Institution:
Centre hospitalier Départemental de la Vendée
Authors:
E. Abet, F. Denimal, J. Dimet, L. Ropers, S. Dandeu, M.H. Jean
Target audience:
Healthcare professionals, stoma patients
Ethics approval:
CPP Ile de France XI 2020-A00199-30
Trial registration:
NCT04326335
Methodology:
Monocentric, randomised, prospective study
Sample size:
50 patients
Intervention:
Preoperative 3D-printed stoma replica and site marking
Outcome measure:
Stoma-QoL score two months post-surgery
Complications:
Recorded according to Clavien-Dindo classification
Context:
Clinical research article analyzing the effect of a preoperative 3D-printed stoma replica on patients’ quality of life following temporary ileostomy
Year:
2021-2023
Country:
China
Region / City:
Changsha, Hunan
Topic:
Hepatocellular carcinoma, microvascular invasion prediction
Document type:
Research article
Institution:
Hunan Provincial People’s Hospital and The First Affiliated Hospital of Hunan Normal University
Authors:
Chuanlin Yu, QianBiao Gu, Peng Liu, YaQiong He
Corresponding author:
YaQiong He
Methodology:
Retrospective analysis, dual-energy CT, radiomics, logistic regression
Sample size:
145 patients
Cohorts:
Training cohort 101 cases, validation cohort 44 cases
Clinical features analyzed:
Gender, tumor size, laboratory tests
Imaging features analyzed:
DECT quantitative parameters, portal venous phase, virtual monoenergetic images
Outcome measures:
Microvascular invasion (MVI) prediction
Key findings:
Combined clinical-radiomics model shows highest predictive performance for MVI
Application:
Preoperative prediction in hepatocellular carcinoma patients
Type of source:
Scientific research article