In this work, we design, build, and test one of the very first barocaloric devices. The here presented device can recover the energy generated by an individual's footstep and transform it into barocaloric heating and/or cooling. Accordingly, we present an innovative device that can provide eco-friendly and gas-free heating/cooling. Moreover, we test the device by measuring a new barocaloric organic polymer that exhibits a large adiabatic temperature change of ~2.9 K under the application of 380 bar. These results pave the way towards novel and more advanced barocaloric technologies and provide a simple and low-cost device to explore new barocaloric materials.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8539295 | PMC |
| http://dx.doi.org/10.3390/ma14205947 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Tiny Machine Learning Implementation for Guided Wave-Based Damage Localization.
Sensors (Basel)
January 2025
Department of Mechanical Engineering, University of Siegen, Paul-Bonatz-Straße 9-11, 57076 Siegen, Germany.
This work leverages ultrasonic guided waves (UGWs) to detect and localize damage in structures using lightweight Artificial Intelligence (AI) models. It investigates the use of machine learning (ML) to train the effects of the damage on UGWs to the model. To reduce the number of trainable parameters, a physical signal processing approach is applied to the raw data before passing the data to the model.
View Article and Find Full Text PDFMinimizing Delay and Power Consumption at the Edge.
Sensors (Basel)
January 2025
Institute of Theoretical & Applied Informatics, Polish Academy of Sciences (IITiS-PAN), 44-100 Gliwice, Poland.
Edge computing systems must offer low latency at low cost and low power consumption for sensors and other applications, including the IoT, smart vehicles, smart homes, and 6G. Thus, substantial research has been conducted to identify optimum task allocation schemes in this context using non-linear optimization, machine learning, and market-based algorithms. Prior work has mainly focused on two methodologies: (i) formulating non-linear optimizations that lead to NP-hard problems, which are processed via heuristics, and (ii) using AI-based formulations, such as reinforcement learning, that are then tested with simulations.
View Article and Find Full Text PDFDevelopment of New Biosorbent Based on Crosslinked Chitosan Beads with High Brilliant Blue FCF Removal Efficiency.
Molecules
January 2025
LSMTM, Laboratoire de Synthèse Macromoléculaire et Thio-organique Macromoléculaire, Faculty of Chemistry, University of Sciences and Technology Houari Boumediene USTHB, Algiers 16111, Algeria.
Effluents containing synthetic anionic dyes can pose a risk to ecosystems, and they must be treated before their release to the environment. Biosorption, a simple and effective process, may be a promising solution for treating these effluents. In this work, chitosan beads were crosslinked with epichlorohydrin to produce a highly stable and performant biosorbent to remove Brilliant Blue FCF dye.
View Article and Find Full Text PDFStability and Rheological Properties of the Novel Silica-Based Organogel-A Drug Carrier with High Solubilization Potential.
Materials (Basel)
January 2025
Department of Applied Chemistry, Faculty of Chemistry, Adam Mickiewicz University, Uniwersytetu Poznańskiego 8, 61-614 Poznań, Poland.
Dissolution of a poorly soluble active pharmacological substance in a drug carrier usually requires advanced techniques and production equipment. The use of novel carriers such as microemulsions, vesicles, or nanocarriers might entail various limitations concerning production cost, formulation stability, or active substance capacity. In this paper, we present a novel fumed silica-based organogel as a low-cost, simple preparation drug or cosmetic carrier with interesting rheological properties and high solubilization capacity.
View Article and Find Full Text PDFChromatographic retention assisted in-silico prediction of anticancer potential of glucocorticoids on cancer cell lines.
J Chromatogr B Analyt Technol Biomed Life Sci
January 2025
Pharmaceutical Chemistry Department, Faculty of Pharmacy, Cairo University, Kasr El-Aini St., Cairo 11562, Egypt.
Glucocorticoids (GCs) are hallmarks of anti-inflammatory activity. They are used as adjuvant therapy in oncology medications to alleviate some of the associated side effects. Although recent research has indicated that GCs have favorable anticancer potential, some scientific evidence suggests a pro-proliferation impact of GCs on cancer cells.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!