Wound healing is a very complex process, some phases of which have only recently been explained. Magnetic and electromagnetic fields can modulate this process in a non-thermal way. The aim of this research was to compare the influence of constant and pulsed electromagnetic fields and low-level laser therapy (LLLT) on wound healing in experimental animals. The experiment was conducted on 120 laboratory rats divided into four groups of 30 animals each (constant electromagnetic field, pulsed electromagnetic field, LLLT and control group). It lasted for 21 days. Under the influence of the constant electromagnetic field the healing of the skin defect was accelerated in comparison with the control group. The difference was statistically significant in all the weeks of the experiment at the P < 0.01 level. Accelerated healing was also observed under the influence of the pulsed electromagnetic field (P < 0.05). In the group of animals exposed to LLLT, the healing of the skin defect was faster than in the control group. The statistical significance was at the P < 0.05 level. Different types of electromagnetic fields have a promoting effect on the wound healing process.
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http://dx.doi.org/10.1007/s10103-008-0564-0 | DOI Listing |
Health Phys
January 2025
Sublight Engineering PLLC, Arlington, VA.
This study investigated the implementation and impact of fifth-generation (5G) wireless millimeter wave (mmW) technology. 5G offers significant advancements over previous generations and supports additional frequency bands, including mmW, to enhance mobile broadband with ultra-reliable, low-latency communications, supporting a high volume of diverse communications. This technology is expected to enable billions of new connections in the Internet of Things (IoT), fostering innovations in various sectors including healthcare, manufacturing, and education.
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January 2025
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui, 230027, China.
The porous polymer is a common and fascinating category within the vast family of porous materials. It offers valuable features such as sufficient raw materials, easy processability, controllable pore structures, and adjustable surface functionality by combining the inherent properties of both porous structures and polymers. These characteristics make it an effective choice for designing functional and advanced materials.
View Article and Find Full Text PDFMultichannel transceiver coil arrays are needed to enable parallel imaging and B1 manipulation in ultrahigh field MR imaging and spectroscopy. However, the design of such transceiver coils and coil arrays often faces technical challenges in achieving the required high operating frequency at the ultrahigh fields and sufficient electromagnetic (EM) decoupling between resonant elements. In this work, we propose a high impedance microstrip transmission line resonator (HIMTL) technique that has unique high frequency capability and adequate EM decoupling without the use of dedicated decoupling circuits.
View Article and Find Full Text PDFResearch (Wash D C)
January 2025
State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 211189, China.
Electromagnetic (EM) metamaterials represent a cutting-edge field that achieves anomalously macroscopic properties through artificial design and arrangement of microstructure arrays to freely manipulate EM fields and waves in desired ways. The unit cell of a microstructure array is also called a meta-atom, which can construct effective medium parameters that do not exist in traditional materials or are difficult to realize with traditional technologies. By deep integration with digital information, the meta-atom is evolved to a digital meta-atom, leading to the emergence of information metamaterials.
View Article and Find Full Text PDFSensors (Basel)
December 2024
2nd Department of Radiology, Medical School, National and Kapodistrian University of Athens, 12462 Athens, Greece.
The widespread propagation of wireless communication devices, from smartphones and tablets to Internet of Things (IoT) systems, has become an integral part of modern life. However, the expansion of wireless technology has also raised public concern about the potential health risks associated with prolonged exposure to electromagnetic fields. Our objective is to determine the optimal machine learning model for constructing electric field strength maps across urban areas, enhancing the field of environmental monitoring with the aid of sensor-based data collection.
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