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Presentation transcript describing methods of analyzing execution time and memory usage in R programs through profiling tools in RStudio and the Profvis package within a shared computing environment.
Topic:
R programming performance analysis
Type of document:
Presentation transcript
Subject area:
Software engineering and data analysis
Software environment:
R and RStudio
Tools discussed:
Rprof, Profvis, RStudio profiling tools
Author:
Andrew Redd
Organization / platform referenced:
Vinci R servers and Vinci Helpdesk
Target audience:
Intermediate R users
Purpose:
Analysis and optimization of program performance
Key concepts:
code profiling, memory usage analysis, performance engineering, call stack analysis
Technical context:
Shared computing resources and server-based R environments
Primary functions mentioned:
Rprof, summaryRprof
Evaluation interval mentioned:
program state sampling approximately every 10–20 milliseconds
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2023
Region / city:
N/A
Topic:
Smart infusion pumps, medication infusion, safety
Document type:
Draft Safe Practice Statements
Organization / institution:
Institute for Safe Medication Practices (ISMP)
Author:
N/A
Target audience:
Healthcare providers, clinicians, medical staff
Period of validity:
N/A
Date of approval:
N/A
Date of modifications:
N/A
Context:
This document outlines safe practices for the implementation and use of smart infusion pumps in healthcare settings, with a focus on medication safety and infusion protocols.
Year:
2026
Region / City:
United States
Theme:
Healthcare, Pharmaceutical Purchasing
Document Type:
Guidelines
Organization:
340B Program
Author:
Not specified
Target Audience:
Covered entities in 340B hospitals
Validity Period:
Ongoing
Approval Date:
Not specified
Amendment Date:
Not specified
Date:
January 13, 2014
Document Type:
White Paper
Product:
Microsoft Dynamics GP
Related Product:
Microsoft SQL Server
Organization:
Microsoft
Key Contributors:
Chad Aberle; Kelly Youells
Technical Reviewers:
Microsoft Dynamics GP Escalation Engineers; Microsoft Dynamics GP Support Team
Audience:
Customers; Partners; System Administrators; Database Administrators
Subject:
Performance optimization and troubleshooting
Scope:
Server, database, network, client, and application performance
Date:
19 August 2022
Organization:
Maryland Air National Guard
Unit:
175th Wing (175 WG)
Operating Location:
175 Operations Group (OG), 2701 Eastern Blvd, Middle River, MD 21220
Country:
United States
Document Type:
Performance Work Statement (PWS)
Program:
Optimizing Human Weapons System (OHWS)
Subject:
Injury prevention, pre-habilitation, and human performance optimization services for rated fighter aircrew
Period of Performance:
Base Year of 12 months plus one option year of 12 months
Applicable Standards:
Quality Assurance Surveillance Plan (QASP); Federal Acquisition Regulations Subpart 42.5
Recognized Holidays:
New Year’s Day; Martin Luther King, Jr.’s Birthday; President’s Day; Memorial Day; Juneteenth; Independence Day; Labor Day; Columbus Day; Veteran’s Day; Thanksgiving Day; Christmas Day
Year:
2021
Region / City:
Lecce, Italy
Subject:
Fire retardancy, Durability, Composite materials
Document Type:
Research Article
Organization / Institution:
University of Salento, National Institute of Standards and Technology (NIST)
Author:
Carola Esposito Corcione, Francesca Ferrari, Raffaella Striani, Laura Dubrulle, Paolo Visconti, Mauro Zammarano, Antonio Greco
Target Audience:
Researchers, Environmental Engineers, Material Scientists
Period of validity:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Keywords:
Solid urban waste, Melamine-formaldehyde, Valorization process, Fire retardant, Durability
Year:
2025
Region / City:
Virginia, USA
Topic:
Risk and Compliance Management
Document Type:
Professional Profile
Organization / Institution:
Transurban
Author:
Harish Kumar
Target Audience:
Professionals in IT security, compliance, and risk management
Period of Validity:
2025-2026
Date of Approval:
March 2025
Date of Changes:
None
Year:
2025
Region / City:
Virginia
Theme:
Artificial Intelligence in Healthcare
Document Type:
Research Grant Summary
Organization:
Robert Wood Johnson Foundation
Author:
Farrokh Alemi, Ph.D.
Target Audience:
Researchers, Healthcare Professionals
Period of Activity:
2024 - 2028
Approval Date:
2025
Modification Date:
2025
Project Outcome:
The project developed an AI-based tool for antidepressant selection, used by over 1,500 patients.
Leveraged Funding:
$1,120,904
Funding Agency:
NIH’s Aim Ahead
Project Dates:
2024-2028
Amount Awarded:
$1,049,998
Publications:
Alemi F, Wojtusiak J, Ursani A, Eklou KP, Lybarger K. "Artificial Intelligence for Management of Major Depression: Initial Design, Progress, and Research Plans," Alpha Psychiatry, 2025
Contextual Description:
Research summary on AI tools for optimizing antidepressant prescriptions and their clinical application.
Authors:
J. Smith; S. Jones; M. Smith; J. Doe; B. Smith; J. Jones
Affiliations:
Neural Engineering Data Consortium, Temple University, Philadelphia, Pennsylvania, USA; Center for Corporate Research, Acme Corporation, Los Angeles, California, USA; Advanced Technology Laboratory, XYZ Research, New York, New York, USA
Document Type:
Conference poster abstract
Subject Area:
Seizure detection; digital pathology; biomedical signal processing; deep learning
Institutions Involved:
Temple University; Temple University Hospital; Acme Corporation; XYZ Research; National Science Foundation
Project Name:
Temple University Digital Pathology Corpus (TUDP); TUSZ Corpus (v1.1.1)
Funding Source:
National Science Foundation (CNS1726188; 1925494)
Data Description:
High-resolution clinical pathology images in Aperio .svs format with associated pathology reports
Time Frame:
Slides dating back to 1997; planned corpus release by December 2020; NSF planning grant January 1, 2020 – June 1, 2021
Technical Resources:
Leica Biosystems Aperio AT2 scanner; HPC cluster infrastructure
Intended Audience:
Research community in biomedical engineering and signal processing
References Format:
IEEE citation style
Conference Context:
IEEE Signal Processing in Medicine and Biology Symposium
Year:
2026
Region / City:
Tennessee, USA
Theme:
Obstetrics, Maternal Health, Cesarean Birth Reduction
Document Type:
Quality Improvement Protocol
Organization / Institution:
Tennessee Department of Health, TIPQC
Author:
Danielle Tate, MD, MFM; Connie Graves, MD, MFM; Bonnie Miller, MSN, RN; Brenda Barker, MEd, MBA; Theresa Scott, MS; Rolanda Lister, MD
Target Audience:
Healthcare providers, obstetric care teams, hospital administrators
Period of Validity:
Ongoing
Approval Date:
2026
Modification Date:
Not specified
Year:
2021–2023
Region / City:
West Bengal, India
Research Field:
Agronomy / Soil Science
Document Type:
Research Article
Institution:
Palli Siksha Bhavana, Visva-Bharati; Seacom Skills University
Authors:
Banhisikha Roy, Goutam Kumar Ghosh, Shreya Mondal, Umalaxmi Thingujam, Suchhanda Mandal
Crop:
Maize (Zea mays L.)
Experimental Design:
Randomized Block Design, 12 treatments, 3 replications
Key Variables:
Zinc application, Boron application, Grain yield, Plant growth, Quality parameters
Soil Type:
Red and lateritic soils
Season:
Kharif 2021–2022 and 2022–2023
Measurements:
Plant height, Dry matter, Cob weight, Grain yield, Starch, Protein, Oil content
Year:
2019
Region / city:
Chennai, Sholinganallur
Theme:
Water Management, Wastewater Treatment
Document type:
Case Study
Organization:
Greenvironment
Author:
Not specified
Target audience:
Residential societies, water management professionals
Period of action:
2015–2020
Date of approval:
Not specified
Date of changes:
Not specified
Description:
A case study on a residential society in Chennai that optimized wastewater systems and reduced freshwater use by over 50%, leading to significant savings and improved water management.
Year:
2026
Region / City:
Global
Topic:
Gunshot Trauma, Emergency Management
Document Type:
Review Article
Author:
Not specified
Target Audience:
Medical professionals, Trauma surgeons, Emergency care teams
Period of Action:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Year:
2023–2024
Country:
Myanmar
Region / Location:
Ayeyarwady Division, Myaungmya
Research Site:
Regional Research Center (Myaungmya)
Institution:
Department of Agriculture Research (DAR)
Subject:
Rice cultivation, fertilizer management, soil properties
Keywords:
rice straw, cow-dung manure, compost, soil physico-chemical properties, rice yield
Document Type:
Agricultural research study
Crop:
Rice (variety Yet-90)
Experimental Design:
Randomized Complete Block design with five replications
Study Period:
September–December 2023 and February–May 2024
Treatments:
Combination of inorganic nitrogen fertilizer and rice straw compost with cow-dung manure
Measured Variables:
Soil physicochemical properties, tiller number, spikelet per panicle, filled grain percentage, rice yield
Compost Materials:
Rice straw and cow-dung manure
Objective:
Evaluation of combined organic and inorganic fertilizer effects on soil properties and rice yield
Organization:
Health Resources and Services Administration
Bureau:
Bureau of Primary Health Care
Country:
United States
Document type:
Supporting statement for information collection approval
Program:
Optimizing Virtual Care (OVC) Grant Program
Related authority:
Public Health Service Act Section 330 (42 U.S.C. 254b)
Regulatory reference:
45 CFR §75.301
Supervising body:
Office of Management and Budget
Grant period context:
Approximately 14-month reporting period following awards in February 2022
Number of grant recipients:
29 HRSA-funded health centers
Funding amount:
Nearly $55 million
Primary focus:
Virtual care implementation and performance measurement
Data collection methods:
Monthly progress reports and biannual measures reports
Reporting system:
Electronic Handbook (EHB)
Related reporting system:
Uniform Data System (UDS)
Health care domains:
Access to care and information; quality of care and outcomes; patient experience of care; health equity
Target populations:
Underserved communities and special or vulnerable populations
Technological context:
Telehealth, remote patient monitoring, digital patient tools, and health information technology platforms
Year:
Not specified
Region / Country:
Not specified
Academic Field:
Biomedical Engineering
Research Area:
Stem Cell Bioprocess Engineering
Keywords:
Suspension Bioreactor, Neural Stem Cells, Shear Stress, Differentiation, Mesenchymal Stem Cells
Document Type:
Academic Project Final Report
Course:
BEE 4530 Computer-Aided Engineering: Applications to Biomedical Processes
Authors:
Dustin Steinhagen; Gabrielle Ravelo; Sophia He
Institution:
Not specified
Software Used:
COMSOL Multiphysics
Main Methods:
Fluid flow modeling using Navier–Stokes equations and Darcy flow; sensitivity analysis
Biological Focus:
Mesenchymal stem cells and neural stem cell differentiation
Application Context:
Bioreactor design for therapeutic-scale stem cell production
Sections Included:
Executive Summary; Introduction; Literature Review; Problem Formulation; Governing Equations; Numerical Implementation; Results; Validation; Discussion; Appendix
Target Audience:
Students and researchers in biomedical and bioprocess engineering