Evidence map›Paper›PMID 41720864›Full record

ArticleScientific reports2026

Guidelines for use of the random positioning machine as a reduced-gravity analog.

Anna Wadhwa, Lasse Bruun, Johan C G Petersen, Lonnie G Petersen

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Anna Wadhwa *Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Lasse Bruun *Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Johan C G PetersenDepartment of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Lonnie G PetersenDepartment of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. lgpeters@mit.edu.

Funding

Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
NASA 80NSSC19K0020NIGMS NIH HHS T32 GM144273NIGMS NIH HHS T32GM144273
6 · The paper itself

Abstract

With expanding spaceflight mission plans to the Moon, Mars, and beyond, investigating biological phenomena in reduced-gravity environments is a critical need. Ground-based spaceflight-analog platforms, such as the two-frame Random Positioning Machine (RPM), represent an alternative to operationally challenging spaceflight-based experiments. We developed a kinematic model to define the acceleration and gravitational level experienced by a sample at the center of an RPM. In comparing this to the RPM's performance with accelerometers and motion capture sensors, we validated the RPM and defined optimized performance parameters for time-averaged microgravity and reduced-gravity simulation (rotation rate: outer frame > 30 deg/s, inner frame > 20 deg/s slower; sample size: <10-15 cm from the center depending on rotation rate; experimental duration: >25 min). We also present the validated designs for an RPM capable of simulating microgravity, lunar gravity, Martian gravity, and hypergravity simultaneously. Finally, we identify "pole bias" as a critical limitation for two-frame RPMs: when the outer frame is aligned vertically, which occurs twice during each rotation, the gravity vector is aligned with a sample and generates two poles. At higher rotation rates, this significantly reduces the fidelity of an RPM's reduced-gravity simulation, and we thus introduce the design and validation for a novel three-frame RPM that can mitigate pole bias. We validated the RPM platform, optimized experimental design guidelines, and identified novel RPM designs for microgravity and reduced-gravity investigations.

Indexed as

GuidelinesMicrogravityPartial gravityRandom positioning machine (RPM)Spaceflight analogValidation

Identifiers

PMID41720864
PMCPMC13022057

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.