Electrospinning is a cost-effective technique for synthesizing polymeric fibers with nanometers diameters. Electrospun nanofibers act as ideal scaffolds for tissue engineering and drug delivery systems because they can mimic the functions of native extracellular matrices. However, it is difficult to gathering nanofibers with simple design and reasonable price device. This study presents a cost effective and safe electrospinning system with similar capabilities to standard electrospinning device. As standard current electrospinning system consists of three constructed parts, a hand-constructed electrical power supply to provide a voltage source direct current (DC), a low cost three-dimensional (3D) printed syringe pump and handmade collectors. The device components are entirely constructed off-the-shelf components, and structural elements are 3D printer. The electrospinning process was carried out using PLA materials. The general parameters in the production process are resolution of the spraying rate lL=min and the power supply provides electricity in kilovolt. The prototype is an affordable device; its cost is around 99.5% less than the laboratory commercial devices. The average diameters of the fibers were determined from SEM micrographs with the aid of Image J software, which shows that the electrospinning device successfully produces fibres on a nanometer scale. Henceforth, this project can help educational institutions to have such electrospinning system with ultra-low cost comparing with readymade systems in the market.
It is no secret that the rise of the Internet and other digital technologies has sparked renewed interest in AI-based techniques, especially those that fall under the umbrella of the subset of algorithms known as "Machine Learning" (ML). These advancements in electronics have allowed us to comprehend the world beyond the bounds of human cognition. A high-dimensional dataset's complicated nature. Although these techniques have been regularly employed by the medical sciences, their adoption to enhance patient care has been a bit slow. The availability of curated diverse data sets for model development is all examples of the substantial hurdles that have delayed these efforts. The future clinical acceptance of each of these characteristics may be affected by a number of limiting conditions, such as the time and resources spent on data collection and model development, the cost of integration relative to the time and resources spent on translation, and the potential for patient damage. In order to preserve value and enhance medical care, the goal of this article is to evaluate all facets of the issue in light of the validity of using ML methods in cancer, to serve as a template for further research and the subfield of oncology that serves as a model for other parts of the discipline.
Increasing the receiver's bitrate and suppressing the spectral line are issues of major interest in the design of compliant Time-Hopping Impulse Radio (TH-IR) Ultra-Wide Band (UWB) systems. Suppression of spectral lines has been commonly addressed by randomizing the position of each pulse to make the period as large as possible. Our analysis suggests that this influences the overall shape of a signal's Power Spectral Density (PSD) in a way that is useful for spectral line suppression or diminishing the PSD maximum peak power. A method for utilizing the system to generate a Dynamic-Location Pulse-Position Modulated (DLPPM) signal for transmission across a UWB communications channel is presented, and an analytical derivation of the PSD of a proposed DLPPM signal TH-IR UWB is introduced. Our proposed method can be applied without affecting the users of other concurrent applications. The theoretical model for DPLM TH-IR is compared with the PSD for conventional DPLM TH-IR. The results show that spectral estimation methods based on Fast Fourier Transform (FFT) significantly overestimate the continuous part of the PSD for small and medium signal lengths, which has implications for assessing interference margins by means of simulation. Another purpose of this paper is to improve a predesigned system by increasing the receiver's bitrate. This will be achieved by using the bits that control the sub-slot technique as information and designing a receiver capable of detecting them. The bitrate is effectively doubled. Finally, the proposed system for DPLM TH-IR has been built inside Simulink/MATLAB to test its results via a conventional DPLM TH-IR system.
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