Results 71 to 80 of about 656,445 (301)

Soft Robotic Excretory Care Simulator for Nursing Education: Functional and Perceptual Biomimetics Approach

open access: yesAdvanced Robotics Research, EarlyView.
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa   +10 more
wiley   +1 more source

Validation of an instrumented dummy to assess mechanical aspects of discomfort during load carriage.

open access: yesPLoS ONE, 2017
Due to the increasing load in backpacks and other load carriage systems over the last decades, load carriage system designs have to be adapted accordingly to minimize discomfort and to reduce the risk of injury. As subject studies are labor-intensive and
Patrick D Wettenschwiler   +6 more
doaj   +1 more source

Bias correction in a dynamic panel data model of economic growth: The African dummy re-examined [PDF]

open access: yes
The discrepancy between the observed and expected growth rates of African economies in cross-country or panel growth regressions is often summarised in a significant African dummy. However, the existence of this dummy may be an artifact of the panel data
Sonja Keller, Stan du Plessis
core  

Auto‐Routing Fluidic Printed Circuit Boards

open access: yesAdvanced Robotics Research, EarlyView.
This work introduces (STREAM) software tool for routing efficiently advanced macrofluidics, an open‐source software tool for automating the design of 3D‐printable fluidic circuit boards. STREAM streamlines tube routing and layout, enabling the rapid fabrication of fluidic networks for soft robotics, lab‐on‐a‐chip devices, microfluidics, and biohybrid ...
Savita V. Kendre   +3 more
wiley   +1 more source

Gravity for Dummies and Dummies for Gravity Equations [PDF]

open access: yes, 2006
This paper provides a minimalist derivation of the gravity equation and uses it to identify three common errors in the literature, what we call the gold, silver and bronze medal errors. The paper provides estimates of the size of the biases taking the currency union trade effect as an example.
Baldwin, Richard, Taglioni, Daria
openaire   +3 more sources

Degradable Magnetic Composites from Recycled NdFeB Magnets for Soft Actuation and Sensing

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a degradable soft magnetic composite made from recycled NdFeB particles embedded in a gelatin‐based organogel. The material is processed into magnetic sensors and soft robotic components, which can later be dissolved in a green solvent to recover NdFeB magnetic particles.
Muhammad Bilal Khan   +14 more
wiley   +1 more source

Quasi-Static Mechanical Biomimetics Evaluation of Car Crash Dummy Skin

open access: yesBiomimetics
Accurate replication of soft tissue properties is essential for the development of car crash test dummy skin to ensure the precision of biomechanical injury data.
Yurun Li   +7 more
doaj   +1 more source

Selection-endogenous ordered probit and dynamic ordered probit models [PDF]

open access: yes
In this presentation we define two qualitatitive response models: 1) Selection Endogenous Dummy Ordered Probit model (SED-OP); 2) a Selection Endogenous Dummy Dynamic Selection Ordered Probit model (SED- DOP).
Alfonso Miranda, Massimiliano Bratti
core  

A 2.2GHz Sub-Sampling PLL with 0.16psrms Jitter and -125dBc/Hz In-band Phase Noise at 700μW Loop-Components Power [PDF]

open access: yes, 2010
A divider-less PLL exploits a phase detector that directly samples the VCO with a reference clock. No VCO sampling buffer is used while dummy samplers keep the VCO spur
Bohsali, Mounhir   +4 more
core   +3 more sources

Continual Learning for Multimodal Data Fusion of a Soft Gripper

open access: yesAdvanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

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