Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

State Space Representation

State Space Representation

The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...

Methods of Documentation VI: Case Management Model

Methods of Documentation VI: Case Management Model

The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic illness...

Real-World Applications of Space Curves

Real-World Applications of Space Curves

Modern aerospace navigation depends on the accurate prediction of motion in three-dimensional space. In defense applications, radar systems continuously track both interceptors and moving aerial targets to find whether their flight paths will result in a collision. These motions are modeled mathematically as space curves, which represent paths that change continuously with time. Each object’s position is described by a vector function that specifies its location in terms of time-dependent...

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

Mechanistic Models: Overview of Compartment Models

Mechanistic Models: Overview of Compartment Models

Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...

Three-Compartment Open Model

Three-Compartment Open Model

The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Attosecond impulsive stimulated X-ray Raman scattering in liquid water.

Science advances·2024

Same author

Toward ultrafast soft x-ray spectroscopy of organic photovoltaic devices.

Structural dynamics (Melville, N.Y.)·2024

Same author

Upcoding in medicare: where does it matter most?

Health economics review·2024

Same author

Delivery of stable ultra-thin liquid sheets in vacuum for biochemical spectroscopy.

Frontiers in molecular biosciences·2022

Same author

Loss of CDCP1 triggers FAK activation in detached prostate cancer cells.

American journal of clinical and experimental urology·2021

Same author

Physician Incentive Compensation Plans in Academic Medical Centers: The Imperative to Prioritize Value.

The American journal of medicine·2021

Search research articles

Related Experiment Video

Updated: Jul 7, 2026

Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection

Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection

Published on: February 24, 2026

A comprehensive space management model for facilitating programmatic research.

Ann Libecap¹, Steven Wormsley, Anne Cress

¹Planning and Facilities, University of Arizona College of Medicine, Tucson, Arizona, USA.

Academic Medicine : Journal of the Association of American Medical Colleges

|March 5, 2008

Summary

Implementing new space management models significantly boosted research funding and facilities & administrative (F&A) revenue at a medical school. These models enhanced transparency and equitable resource allocation for programmatic research initiatives.

Related Experiment Videos

Last Updated: Jul 7, 2026

Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection

Super-Resolution Imaging and Shared Management: A Protocol for Confocal Microscopy with Multiplex Detection

Published on: February 24, 2026

Area of Science:

Health Sciences
Medical Education
Research Administration

Background:

Effective management of research space is crucial for academic medical institutions.
Previous space allocation methods may not have optimally supported programmatic research goals.
The University of Arizona College of Medicine sought to improve research space utilization and funding recovery.

Purpose of the Study:

To develop and implement a comprehensive model for managing research space.
To facilitate programmatic research through strategic space allocation and resource management.
To establish benchmarks for sponsored research and facilities and administrative (F&A) revenue recovery.

Main Methods:

Developed and implemented models for managing existing and incremental research space.
Set benchmarks for total sponsored research dollars and F&A dollars per net square foot (nsf).
Applied benchmarks to units (departments, centers) using three-year moving averages for performance assessment.

Main Results:

Median total sponsored research revenue/nsf increased by 20.4% ($393.96 to $474.46) between FY05 and FY06.
Median F&A revenue/nsf increased by 60.0% ($57.42 to $91.86) during the same period.
Increases were primarily driven by space redistribution and recapturing, alongside new recruitment policies.

Conclusions:

The implemented space management model fostered transparency and equitable resource distribution.
The model successfully facilitated programmatic research and improved financial metrics.
While challenges exist, the policies created a sustainable framework for research space management.