A range of soft robotic systems have recently been developed that use soft, flexible materials and respond to environmental stimulus. The greatest challenge in their design is the integration of the actuator, energy sources, and body of robots while achieving fast locomotion and well-defined programmable trajectories. This work presents such a design that operates under constant conditions without the need for an externally modulated stimulus. By using a humidity-sensitive agarose film and overcoming the isotropic and random bending of the film, the robot, which we call the , harnesses energy from evaporation for spontaneous and continuous fast self-rolling locomotion with a programmable trajectory in a constant-humidity environment. Moreover, the geometric parameters of the film were fine-tuned to maximize the rolling speed, and the optimised hydrollbot is capable of carrying a payload up to 100% of its own weight. The ability to self-propel fast under constant conditions with programmable trajectories will confer practical advantages to this robot in the applications for sensors, medical robots, actuation, etc.
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http://dx.doi.org/10.34133/2022/9832901 | DOI Listing |
J Korean Med Sci
March 2025
Department of Radiology, Seoul National University Hospital, Seoul, Korea.
Background: Currently, little is known about the relationship between the temporal radiographic latent trajectories, which are based on the extent of coronavirus disease 2019 (COVID-19) pneumonia and clinical outcomes. This study aimed to elucidate the differences in the temporal trends of critical laboratory biomarkers, utilization of critical care support, and clinical outcomes according to temporal radiographic latent trajectories.
Methods: We enrolled 2,385 patients who were hospitalized with COVID-19 and underwent serial chest radiographs from December 2019 to March 2022.
Sci Rep
March 2025
Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Follow-up care in adult childhood cancer survivors (ACCS) aims to screen for, prevent, and treat potential late effects. The trajectory of ACCS' health-related quality of life (HRQoL) attending follow-up care is unclear. We investigated changes in HRQoL of ACCS attending a follow-up care program.
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March 2025
Biometrics Unit, Cancer Institute of Montpellier, University of Montpellier, 208 avenue des apothicaires, Parc Euromédecine, 34298, Montpellier Cedex 5, France.
In the monocentric APAD1 trial, 143 women with non-metastatic breast cancer were randomised to undergo either an adapted physical activity and diet counselling (APAD) program or usual care. Health-related quality of life (HRQoL) was prospectively evaluated using the EORTC QLQ-C30 questionnaire at baseline, during treatment (adjuvant chemotherapy and radiotherapy) and during follow-up. Our objective was two-fold: to analyse the impact of APAD on HRQoL using three approaches; to illustrate the advantages and disadvantages of each approach, and derive methodological recommendations.
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March 2025
Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Head and neck squamous cell carcinoma (HNSCC) remains a prevalent and lethal malignancy, with a five-year survival rate of just 50% for cases of locally advanced disease. Chromosomal aberrations, particularly the deletion of the short arm of chromosome 3 (3p), have been strongly associated with poor prognosis and more aggressive tumor phenotypes. The tumor microenvironment (TME) plays a pivotal role in tumor progression and resistance to therapy.
View Article and Find Full Text PDFBehav Res Methods
March 2025
Faculty of Sociology, University of Bielefeld, Universitätsstraße 25, 33615, Bielefeld, Germany.
Moderation effects in longitudinal structural equation models are often analysed using latent variable product terms, which can be complex and difficult to estimate, especially in large models with many panel waves. An alternative approach for categorical moderation variables is the simpler technique of multiple-group comparisons. This method allows for straightforward model specification and precise differentiation of effects in complex models.
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