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11 pages, 2098 KiB  
Article
The Difference between Traditional Magnetic Stimulation and Microcoil Stimulation: Threshold and the Electric Field Gradient
by Mohammed Alzahrani and Bradley J. Roth
Appl. Sci. 2024, 14(18), 8349; https://doi.org/10.3390/app14188349 (registering DOI) - 17 Sep 2024
Viewed by 83
Abstract
This paper considers the threshold value of the activating function needed for stimulation in traditional magnetic stimulation and microcoil stimulation. Two analyses of excitation have been studied: spatial frequency analysis and active membrane analysis using the Hodgkin−Huxley model. The activating function depends on [...] Read more.
This paper considers the threshold value of the activating function needed for stimulation in traditional magnetic stimulation and microcoil stimulation. Two analyses of excitation have been studied: spatial frequency analysis and active membrane analysis using the Hodgkin−Huxley model. The activating function depends on the spatial distribution of the electric field gradient in the active membrane analysis and the spatial frequency in the spatial frequency analysis. Both analyses show that a microcoil (tens of microns in size) has a higher threshold than a traditional coil (tens of millimeters in size) when the spatial frequency is large or the spatial extent of the activating function is small. Consequently, the stimulation threshold for a microcoil is much higher than that for a conventional coil. Full article
(This article belongs to the Section Biomedical Engineering)
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<p>Electrical equivalent circuit for a short segment of a squid giant axon membrane [<a href="#B23-applsci-14-08349" class="html-bibr">23</a>]. Capacitor (capacitance per unit area <span class="html-italic">C<sub>m</sub></span> of the cell membrane); Variable conductances (voltage-dependent <math display="inline"><semantics> <mrow> <msup> <mrow> <mi>N</mi> <mi>a</mi> </mrow> <mrow> <mo>+</mo> </mrow> </msup> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msup> <mrow> <mi>K</mi> </mrow> <mrow> <mo>+</mo> </mrow> </msup> </mrow> </semantics></math> conductance per unit area, <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mi>N</mi> <mi>a</mi> </mrow> </msub> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mi>K</mi> </mrow> </msub> </mrow> </semantics></math>); fixed conductance (voltage-independent leakage conductance per unit area <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>g</mi> </mrow> <mrow> <mi>l</mi> </mrow> </msub> </mrow> </semantics></math>); Batteries (reversal potentials for <math display="inline"><semantics> <mrow> <msup> <mrow> <mi>N</mi> <mi>a</mi> </mrow> <mrow> <mo>+</mo> </mrow> </msup> </mrow> </semantics></math><span class="html-italic">,</span> <math display="inline"><semantics> <mrow> <msup> <mrow> <mi>K</mi> </mrow> <mrow> <mo>+</mo> </mrow> </msup> </mrow> </semantics></math>, and leakage: <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> </mrow> <mrow> <mi>N</mi> <mi>a</mi> </mrow> </msub> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> </mrow> <mrow> <mi>K</mi> </mrow> </msub> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>E</mi> </mrow> <mrow> <mi>l</mi> </mrow> </msub> </mrow> </semantics></math>); Membrane potential <span class="html-italic">V = V<sub>in</sub> – V<sub>out</sub></span>; Arrows (current densities <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>I</mi> </mrow> <mrow> <mi>N</mi> <mi>a</mi> </mrow> </msub> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>I</mi> </mrow> <mrow> <mi>K</mi> </mrow> </msub> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>I</mi> </mrow> <mrow> <mi>l</mi> </mrow> </msub> </mrow> </semantics></math>).</p>
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<p>(<b>a</b>) The coil current <span class="html-italic">I</span>(<span class="html-italic">t</span>), and (<b>b</b>) its time derivative, normalized so that <span class="html-italic">dI</span>/<span class="html-italic">dt</span> at <span class="html-italic">t</span> = 0 is one. The coil current is monophasic, with a fast rise and slow decay. The induced electric field is proportional to <span class="html-italic">dI/dt</span>, which is biphasic with a strong positive phase lasting about 0.1 ms followed by a slower, weaker negative phase.</p>
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<p>(<b>a</b>) The electric field <span class="html-italic">E<sub>x</sub></span>, and (<b>b</b>) the spatial derivative of the electric field, <span class="html-italic">dE<sub>x</sub></span>/<span class="html-italic">dx</span>, as functions of time <span class="html-italic">t</span> and space <span class="html-italic">x</span>, for <span class="html-italic">Q</span> = 1 mV/cm and <span class="html-italic">b</span> = 1 cm. The electric field is large at the origin (<span class="html-italic">x</span> = 0) and decays to half its value by <span class="html-italic">x</span> = ±<span class="html-italic">b</span>. In time, the electric field follows the time course of a biphasic pulse, like <span class="html-italic">dI/dt</span> in <a href="#applsci-14-08349-f002" class="html-fig">Figure 2</a>b. The gradient of the electric field is zero at the origin and large on either side of the origin, positive in one direction, and negative in the other.</p>
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<p>The transmembrane potential as a function of spatial frequency <span class="html-italic">k</span> (Equation (5)). For low values of <span class="html-italic">k,</span> the transmembrane potential is relatively large; however, at high values of <span class="html-italic">k,</span> it is much smaller, suggesting that excitation is easier at small spatial frequencies.</p>
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<p>The propagation of the action potential is due to the activating function for <span class="html-italic">b</span> = 1 cm and <span class="html-italic">Q</span> = 4089 mV/cm. Near <span class="html-italic">t</span> = 0, the transmembrane potential is proportional to the activating function. However, by <span class="html-italic">t</span> = 2 ms, depolarization reaches the threshold and triggers an action potential, which then propagates in both directions away from its stimulation site. A slightly weaker stimulus would not have excited the action potential; thus, excitation is an all-or-none phenomenon.</p>
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<p>A log-log plot of the threshold electric field gradient as a function of spatial length <span class="html-italic">b</span>. For large values of <span class="html-italic">b</span> (greater than about 1 cm), the threshold value of <span class="html-italic">dE<sub>x</sub>/dx</span> is constant, but for smaller values of <span class="html-italic">b</span> (less than about 1 cm), the threshold increases as <span class="html-italic">b</span> decreases.</p>
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19 pages, 6503 KiB  
Article
Analysis of the Temperature Field Characteristics and Thermal-Induced Errors of Miniature Interferometric Fiber Optic Gyroscopes in a Vacuum Environment
by Zicheng Wang, Xiuwei Xia, Wei Gao and Xiangjun Zhang
Photonics 2024, 11(9), 869; https://doi.org/10.3390/photonics11090869 (registering DOI) - 16 Sep 2024
Viewed by 174
Abstract
This paper investigates the mechanism of thermal-induced errors in interferometric fiber optic gyroscopes (IFOGs) caused by temperature changes in a vacuum environment, proposing a method for calculating thermal-induced errors in small fiber coils. Firstly, based on the Shupe effect and the thermal stress [...] Read more.
This paper investigates the mechanism of thermal-induced errors in interferometric fiber optic gyroscopes (IFOGs) caused by temperature changes in a vacuum environment, proposing a method for calculating thermal-induced errors in small fiber coils. Firstly, based on the Shupe effect and the thermal stress caused by temperature changes around the fiber coil, a three-dimensional thermal-induced error model for small fiber coils is established. Secondly, a spatial fiber optic inertial measurement unit (IMU) model is designed using the Creo 3D modeling software (creo 7.0.0). The model is then imported into the Ansys finite element simulation software (ANSYS Workbench 15.0), where a temperature field is applied to the IMU based on actual temperature profiles to obtain the temperature distribution of the fiber coil at different times in a vacuum state. These data are then used in the three-dimensional thermal-induced error model to calculate the thermal-induced error of the FOG. Finally, a thermal vacuum experimental platform is set up to collect temperature variation data from the inertial measurement components. The experimental data are compared with the three-dimensional error model proposed in this paper as well as traditional error models. The root mean square error is approximately 33% lower than that of traditional error calculation methods, which also proves the theoretical accuracy. Full article
(This article belongs to the Special Issue Advances in Optical Fiber Sensing Technology)
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Figure 1
<p>Small fiber optic gyroscope developed by the American KVH company. (<b>a</b>). The PIC, with a dime for perspective, (<b>b</b>). Photonic Gyro IMU comprised of three photonic gyros, (<b>c</b>). Schematic of the photonic gyro.</p>
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<p>Mechanical Structure of the fiber IMU: (<b>a</b>) 3D structure diagram of the IFOG group and (<b>b</b>) and transparency diagram of the 3D structure of the IFOG group.</p>
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<p>Meshing results of the fiber IMU: (<b>a</b>) optimized mesh division results of the structure and (<b>b</b>) optimized mesh division results of the fiber coils.</p>
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<p>Result of the temperature distribution of a fiber coil for 2400 s: (<b>a</b>) temperature distribution of the fiber coil of the whole machine; (<b>b</b>) temperature distribution of the bottom fiber coil; (<b>c</b>) temperature distribution of the left fiber coil; and (<b>d</b>) temperature distribution of the right fiber coil.</p>
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<p>Result of the temperature distribution of a fiber coil for 7200 s: (<b>a</b>) temperature distribution of the fiber coil of the whole machine; (<b>b</b>) temperature distribution of the bottom fiber coil; (<b>c</b>) temperature distribution of the left fiber coil; and (<b>d</b>) temperature distribution of the right fiber coil.</p>
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<p>Result of the temperature distribution of a fiber coil for 9900 s: (<b>a</b>) temperature distribution of the fiber coil of the whole machine; (<b>b</b>) temperature distribution of the bottom fiber coil; (<b>c</b>) temperature distribution of the left fiber coil; and (<b>d</b>) temperature distribution of the right fiber coil.</p>
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<p>Result of the temperature distribution of a fiber coil for 14,400 s: (<b>a</b>) temperature distribution of the fiber coil of the whole machine; (<b>b</b>) temperature distribution of the bottom fiber coil; (<b>c</b>) temperature distribution of the left fiber coil; and (<b>d</b>) temperature distribution of the right fiber coil.</p>
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<p>Deformation of the fiber coil: (<b>a</b>) low-temperature deformation of the fiber coil and (<b>b</b>) high-temperature deformation of the fiber coil.</p>
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<p>Distribution of the temperature change rate of the fiber coil.</p>
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<p>Simulation results of the thermally induced errors of fiber coils at different positions.</p>
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<p>Thermal vacuum test platform: (<b>a</b>) experimental process and data collection and (<b>b</b>) thermal vacuum environmental testing system.</p>
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<p>Comparison of <span class="html-italic">x</span>-axis IFOG experimental data and simulation.</p>
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<p>Comparison of <span class="html-italic">y</span>-axis IFOG experimental data and simulation.</p>
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<p>Comparison of <span class="html-italic">z</span>-axis IFOG experimental data and simulation.</p>
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16 pages, 4440 KiB  
Article
Comparison of the Energy Contributions of Different Types of Ground Heat Exchangers Related to Cost in a Working Ground Source Heat Pump System
by Christakis Christou, Iosifina I. Stylianou, Lazaros Aresti, Georgios A. Florides and Paul Christodoulides
Energies 2024, 17(18), 4621; https://doi.org/10.3390/en17184621 - 14 Sep 2024
Viewed by 373
Abstract
Geothermal systems face adoption challenges due to their high initial investment cost. Accurate cost analyses and a more precise understanding of updated prices could assist geothermal industry projects in obtaining investment financing and better money management with the right equipment. As the cost [...] Read more.
Geothermal systems face adoption challenges due to their high initial investment cost. Accurate cost analyses and a more precise understanding of updated prices could assist geothermal industry projects in obtaining investment financing and better money management with the right equipment. As the cost of geothermal installations can vary widely depending on case and location, it seems essential to clarify the factors and parameters that determine the cost of the system. These include the type of loop system, the ground conditions, the type of heat pump, the system size, and the geographical location. The scope of this study is to compare the operation of various types of ground heat exchangers (GHEs) present in a Ground Source Heat Pump (GSHP) system installed in the coastal area of the Mediterranean climate zone of Cyprus. The highlight of this work is that it presents real installation cost data as well as recorded total energy contributed by the GHEs to the GSHP system of a HP cooling and heating capacities of 101 kW and 117 kW, respectively. The input contribution from the GHEs to the HP is 85,650 kWh (308,340 MJ) in summer and 25,880 kWh (93,168 MJ) in winter. It is shown that, among the three groups of GHEs investigated, the open-well GHE complex has the lowest cost per kWh ratio (0.32 EUR/kWh), followed by the vertical GHE complex (1.05 EUR/kWh), and lastly by the helical coil GHE (2.77 EUR/kWh). This clearly suggests that when underground water is available, the open-well GHE is much more favorable than other GHE types. Full article
(This article belongs to the Section J1: Heat and Mass Transfer)
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<p>The historical building of the University Municipal Library of Limassol (UMLL).</p>
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<p>Diagram of the GSHP system of the UMLL.</p>
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<p>Schematic diagram of the eight vertical GHEs.</p>
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<p>Double helical GHE configuration.</p>
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<p>Open-well GHE complex.</p>
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<p>Input power in the two chillers, recorded every 15 min throughout 2019. Chiller 1-F06, Chiller 2-F07 (see also <a href="#energies-17-04621-f002" class="html-fig">Figure 2</a>).</p>
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<p>Input power to the chillers in 2019, analyzed into the contribution of the vertical GHEs (F01), the complex of the open wells (F04) and the helical coil (F05).</p>
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<p>Input power to the chillers for June and July 2019, analyzed into the contribution of the vertical GHEs (F01), the open well complex (F04) and the helical coil (F05).</p>
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<p>Annual (2019) energy contributed by the three GHE groups both in winter and summer (positive value means heat absorbed from the ground and negative heat rejected into the ground); the absolute total is the sum of absolute energies in winter and summer. The well complex offers by far the greatest amount of energy.</p>
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19 pages, 11838 KiB  
Article
The Genome-Wide Identification of the Dihydroflavonol 4-Reductase (DFR) Gene Family and Its Expression Analysis in Different Fruit Coloring Stages of Strawberry
by Li-Zhen Chen, Xue-Chun Tian, Yong-Qing Feng, Hui-Lan Qiao, Ai-Yuan Wu, Xin Li, Ying-Jun Hou and Zong-Huan Ma
Int. J. Mol. Sci. 2024, 25(18), 9911; https://doi.org/10.3390/ijms25189911 (registering DOI) - 13 Sep 2024
Viewed by 256
Abstract
Dihydroflavonol 4-reductase (DFR) significantly influences the modification of flower color. To explore the role of DFR in the synthesis of strawberry anthocyanins, in this study, we downloaded the CDS sequences of the DFR gene family from the Arabidopsis genome database TAIR; the DFR [...] Read more.
Dihydroflavonol 4-reductase (DFR) significantly influences the modification of flower color. To explore the role of DFR in the synthesis of strawberry anthocyanins, in this study, we downloaded the CDS sequences of the DFR gene family from the Arabidopsis genome database TAIR; the DFR family of forest strawberry was compared; then, a functional domain screen was performed using NCBI; the selected strawberry DFR genes were analyzed; and the expression characteristics of the family members were studied by qRT-PCR. The results showed that there are 57 members of the DFR gene family in strawberry, which are mainly expressed in the cytoplasm and chloroplast; most of them are hydrophilic proteins; and the secondary structure of the protein is mainly composed of α-helices and random coils. The analysis revealed that FvDFR genes mostly contain light, hormone, abiotic stress, and meristem response elements. From the results of the qRT-PCR analysis, the relative expression of each member of the FvDFR gene was significantly different, which was expressed throughout the process of fruit coloring. Most genes had the highest expression levels in the full coloring stage (S4). The expression of FvDFR30, FvDFR54, and FvDFR56 during the S4 period was 8, 2.4, and 2.4 times higher than during the S1 period, indicating that the DFR gene plays a key role in regulating the fruit coloration of strawberry. In the strawberry genome, 57 members of the strawberry DFR gene family were identified. The higher the DFR gene expression, the higher the anthocyanin content, and the DFR gene may be the key gene in anthocyanin synthesis. Collectively, the DFR gene is closely related to fruit coloring, which lays a foundation for further exploring the function of the DFR gene family. Full article
(This article belongs to the Section Molecular Plant Sciences)
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<p>Chromosome distribution of the <span class="html-italic">DFR</span> genes in strawberry. The left scale indicates the chromosome length (Mb), with <span class="html-italic">DFR</span> gene markers on the right side of each chromosome. Different chromosomal colors indicate different gene densities, with red indicating the highest density and blue the lowest density.</p>
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<p>Analysis of the gene structure, motif, and <span class="html-italic">cis</span>-acting elements of the strawberry <span class="html-italic">DFR</span> gene family. (<b>A</b>,<b>B</b>) Analysis of the conserved motif of the <span class="html-italic">DFR</span> gene family in strawberry. (<b>C</b>) The <span class="html-italic">cis</span>-acting element analysis was performed for the first 2000 bp of the promoters of strawberry <span class="html-italic">DFR</span> gene family members. (<b>D</b>) The exon–intron structure of the <span class="html-italic">FvDFR</span> genes.</p>
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<p>The evolutionary analysis of the <span class="html-italic">DFR</span> gene families. The phylogenetic tree was constructed using the <span class="html-italic">DFR</span> protein sequence and using the NJ method. A white triangle represents strawberry, a yellow-green rectangle represents <span class="html-italic">Nicotiana gossei</span> 1, a red rectangle represents <span class="html-italic">Nicotiana gossei</span> 2, a yellow rectangle represents <span class="html-italic">Arabidopsis thaliana</span>, an Indian red rectangle represents tomato, a medium purple rectangle represents potato, a blue rectangle represents grape, a light sky blue rectangle represents wild tomato, a sandy brown rectangle represents walnut, a Navajo white rectangle represents wheat 1, a tomato red rectangle represent wheat 2, and a Peru brown rectangle represents wheat 3. The phylogenetic tree is named using A, B, C, D, E, and F, and these different names represent different subfamilies.</p>
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<p>Collinearity analysis of the <span class="html-italic">DFR</span> gene family in <span class="html-italic">Arabidopsis</span>, apple, grape, and rice. The gray lines in the background represent the collinearity of the <span class="html-italic">Arabidopsis</span>, apple, grape, and rice genomes, while the red lines represent the gene pairs of the strawberry <span class="html-italic">DFR</span> genes.</p>
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<p>Collinearity analysis of the strawberry <span class="html-italic">DFR</span> gene family. Red lines represent the duplicated <span class="html-italic">FvDFR</span> gene pairs.</p>
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<p>RSCU heat map analysis of the protein coding sequence of the strawberry <span class="html-italic">DFR</span> genes. The deep purple indicates a codon preference.</p>
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<p>RSCU analysis of the protein-encoding sequence of the strawberry <span class="html-italic">DFR</span> gene.</p>
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<p>Expression of strawberry <span class="html-italic">DFR</span> in different tissues. Shades of red and blue represent up-regulated or down-regulated expression levels, respectively. Metrics represent relative expression levels.</p>
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<p>The strawberry fruit used in this study is fresh fruit, calculated by fresh weight. The anthocyanin content in the four periods. S1 is the green fruit stage, S2 is the 20% colored period, S3 is the 50% colored period, and S4 is the completely colored period. These data are original to this manuscript. Different letters denote significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Quantitative expression analysis of the <span class="html-italic">DFR</span> gene family in strawberry. Strawberry fruits at the green fruit stage (S1), 20% coloring stage (S2), 50% coloring stage (S3), and completely colored stage (S4) were selected, and S1 was used as the control. There were 3 replicates per treatment, and the reference gene was <span class="html-italic">GAPDH</span>. Different lowercase letters indicate a significant difference at the 0.05 level, and the same lowercase letters indicate no statistical difference. According to the six subgroups of the strawberry <span class="html-italic">DFR</span> gene family and their evolutionary relationship, there are similarities in the same class during classification, so different genes were selected from the different subgroups when conducting research, so some genes were excluded. These data are original data from this paper.</p>
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<p>Protein interaction analysis of the strawberry <span class="html-italic">DFR</span> gene family. Nodes represent proteins, and lines between nodes represent interactions between proteins, with different colors corresponding to different types of interactions.</p>
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24 pages, 5021 KiB  
Article
A Robust Tri-Electromagnet-Based 6-DoF Pose Tracking System Using an Error-State Kalman Filter
by Shuda Dong and Heng Wang
Sensors 2024, 24(18), 5956; https://doi.org/10.3390/s24185956 - 13 Sep 2024
Viewed by 234
Abstract
Magnetic pose tracking is a non-contact, accurate, and occlusion-free method that has been increasingly employed to track intra-corporeal medical devices such as endoscopes in computer-assisted medical interventions. In magnetic pose-tracking systems, a nonlinear estimation algorithm is needed to recover the pose information from [...] Read more.
Magnetic pose tracking is a non-contact, accurate, and occlusion-free method that has been increasingly employed to track intra-corporeal medical devices such as endoscopes in computer-assisted medical interventions. In magnetic pose-tracking systems, a nonlinear estimation algorithm is needed to recover the pose information from magnetic measurements. In existing pose estimation algorithms such as the extended Kalman filter (EKF), the 3-DoF orientation in the S3 manifold is normally parametrized as unit quaternions and simply treated as a vector in the Euclidean space, which causes a violation of the unity constraint of quaternions and reduces pose tracking accuracy. In this paper, a pose estimation algorithm based on the error-state Kalman filter (ESKF) is proposed to improve the accuracy and robustness of electromagnetic tracking systems. The proposed system consists of three electromagnetic coils for magnetic field generation and a tri-axial magnetic sensor attached to the target object for field measurement. A strategy of sequential coil excitation is developed to separate the magnetic fields from different coils and reject magnetic disturbances. Simulation and experiments are conducted to evaluate the pose tracking performance of the proposed ESKF algorithm, which is also compared with standard EKF and constrained EKF. It is shown that the ESKF can effectively maintain the quaternion unity and thus achieve a better tracking accuracy, i.e., a Euclidean position error of 2.23 mm and an average orientation angle error of 0.45°. The disturbance rejection performance of the electromagnetic tracking system is also experimentally validated. Full article
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Graphical abstract

Graphical abstract
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<p>(<b>a</b>) Schematic diagram of the tri-electromagnet-based pose-tracking system (the solid lines represent currently active coils and dashed lines indicate coils queued for excitation); (<b>b</b>) the electromagnetic pose-tracking system used in a medical application of endoscope tracking.</p>
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<p>(<b>a</b>) Diagram of driving circuit for sequential coil excitation; (<b>b</b>) sequence diagram of coil excitation and the corresponding current response.</p>
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<p>The process of quaternion estimation using ESKF. Measurement update on nearest tangent space of quaternion manifold ensures quaternion unity.</p>
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<p>Flowchart of the ESKF algorithm for electromagnetic pose tracking.</p>
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<p>Simulation results of pose estimation.</p>
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<p>Pose estimation errors in simulation: (<b>a</b>) position errors; (<b>b</b>) orientation errors.</p>
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<p>Norm of the estimated quaternion using standard EKF, CEKF, and ESKF in simulation.</p>
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<p>Experimental setup for evaluation of electromagnetic pose-tracking system.</p>
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<p>Experimental pose tracking results for the first testing trajectory.</p>
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<p>Pose estimation errors for the first testing trajectory: (<b>a</b>) position errors. (<b>b</b>) orientation errors.</p>
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<p>Norm of the estimated quaternion using standard EKF and ESKF for the first testing trajectory.</p>
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<p>Pose tracking results for the second testing trajectory.</p>
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<p>Experimental setup for validation of disturbance rejection.</p>
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<p>The dipole field measurement in presence of disturbance.</p>
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8 pages, 4150 KiB  
Article
Whole-Head Noninvasive Brain Signal Measurement System with High Temporal and Spatial Resolution Using Static Magnetic Field Bias to the Brain
by Osamu Hiwaki
Bioengineering 2024, 11(9), 917; https://doi.org/10.3390/bioengineering11090917 - 13 Sep 2024
Viewed by 375
Abstract
Noninvasive brain signal measurement techniques are crucial for understanding human brain function and brain–machine interface applications. Conventionally, noninvasive brain signal measurement techniques, such as electroencephalography, magnetoencephalography, functional magnetic resonance imaging, and near-infrared spectroscopy, have been developed. However, currently, there is no practical noninvasive [...] Read more.
Noninvasive brain signal measurement techniques are crucial for understanding human brain function and brain–machine interface applications. Conventionally, noninvasive brain signal measurement techniques, such as electroencephalography, magnetoencephalography, functional magnetic resonance imaging, and near-infrared spectroscopy, have been developed. However, currently, there is no practical noninvasive technique to measure brain function with high temporal and spatial resolution using one instrument. We developed a novel noninvasive brain signal measurement technique with high temporal and spatial resolution by biasing a static magnetic field emitted from a coil on the head to the brain. In this study, we applied this technique to develop a groundbreaking system for noninvasive whole-head brain function measurement with high spatiotemporal resolution across the entire head. We validated this system by measuring movement-related brain signals evoked by a right index finger extension movement and demonstrated that the proposed system can measure the dynamic activity of brain regions involved in finger movement with high spatiotemporal accuracy over the whole brain. Full article
(This article belongs to the Special Issue Neuroimaging Techniques for Wearable Devices in Bioengineering)
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Graphical abstract
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<p>Measurement of neural signals in the cerebral cortex using a static magnetic field. (1) A static magnetic field generated by a coil on the scalp passes through the region of the cerebral cortex below the coil. (2) Static magnetic field fluctuates according to neural electromagnetic activity in the cerebral cortex through which the static magnetic field passes. (3) Magnetic sensor at the top of the coil measures neural activity in the cerebral cortex as a fluctuation in the magnetic field.</p>
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<p>(<b>a</b>) Noninvasive whole-head system for measuring brain signals under static magnetic field bias. A total of 159 pairs of magnetic sensors and coils were placed on the scalp with a neoprene cap. (<b>b</b>) Each magnetic sensor was connected to a coil using a plastic nut.</p>
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<p>Grand averages of movement-related signals evoked by extension of the right index finger were measured in three participants using the developed whole-head MBP system. Signals for all 159 channels across the scalp surface are presented as if looking down on the scalp surface with the nose (anterior) at the top.</p>
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<p>(<b>Left</b>) Movement-related signals of channels (A) and (B) in <a href="#bioengineering-11-00917-f003" class="html-fig">Figure 3</a>. Gray lines indicate the standard deviation at each sampling time. (<b>Right</b>) Topographies of signal distributions across the scalp at selected time points: −1500 ms, −1000 ms, 30 ms, and 140 ms. Maps are presented as if looking down on the scalp surface with the nose (anterior) at the top. Positive and negative signals are shown in red and blue, respectively.</p>
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12 pages, 4126 KiB  
Communication
Effect of a Directional Electromagnetic Field on the Early Stages of Plant (Raphanus sativus and Saccharum officinarum) Growth
by Jeong Wook Jo, Sung Woo Yang, Gyu Won Lee, Jae Hun Kim, Ye Jin Kim, Yong-Keun Choi, Kwang Jin Kim, Hyeong-Seok Lee, Sung Won Bang and Hyung Joo Kim
Horticulturae 2024, 10(9), 973; https://doi.org/10.3390/horticulturae10090973 - 13 Sep 2024
Viewed by 224
Abstract
In this study, we aimed to develop a novel directional electromagnetic field (EMF) application method for promoting plant growth using a solenoid coil-based cultivation system. The emergence of plant shoots from seeds, shoot elongation, root proliferation, and plant growth hormones were monitored in [...] Read more.
In this study, we aimed to develop a novel directional electromagnetic field (EMF) application method for promoting plant growth using a solenoid coil-based cultivation system. The emergence of plant shoots from seeds, shoot elongation, root proliferation, and plant growth hormones were monitored in the presence of a directional EMF using our solenoid coil system. To observe the effect of the directional EMF on seed germination, radish and sugarcane seedlings were cultivated in the system. At the seed germination stage, the EMF applied had no significant effect on germination or growth. However, after germination, shoot growth was sensitive to a directional EMF, as it was promoted by different conditions in a plant-species-dependent manner. The maximum growth promotion rates were 25.65% ± 4.21% and 38.57% ± 12.81% for radish and sugarcane, respectively. Similarly, plant root proliferation and indole-3-acetic acid (IAA) analyses indicated that directional EMF application was associated with root proliferation and hormone synthesis. Plant growth in the experimental system proved controllable; either growth stimulation or reduction were possible as the system operating conditions were made to vary. Our findings indicate that the application of a specific directional EMF could serve as an electrical plant stimulant (or electrical fertilizer). Full article
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<p>Schematic representation of the EMF application system for plant-growth control: (1) light source, (2) plant shoots, (3) seeds and roots, (4) power supply, (5) electric wires, (6) solenoid coil, (7) cultivation pot, (8) pot holder, and (9) water drain. “N” and “S” in the figure indicate the direction of EMF application in the system: the direction can be altered by reversing the connection of the electric wire to the power supply.</p>
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<p>Effects of an upwardly directed EMF application on plant (<span class="html-italic">R. sativus</span> and <span class="html-italic">S. officinarum</span>) seed germination rate (<b>a</b>,<b>c</b>) and shoot elongation (<b>b</b>,<b>d</b>). The colored arrows in the figures indicate the effective EMF application periods from the initial stage of the experiment. The color codes in the plots indicate the measurement results with different EMF application periods (black dot: 0 h, red: 24 h, green: 48 h, blue: 72 h). The inner (upper) graphs in (<b>b</b>,<b>d</b>) indicate that the relative shoot length increased after 168 h of cultivation with different EMF application times during the early shoot growth. Different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Effects of different EMF application directions (EMF upward (<b>a</b>,<b>c</b>) and EMF downward (<b>b</b>,<b>d</b>)) on shoot growth (<span class="html-italic">R. sativus</span> and <span class="html-italic">S. officinarum</span>). The colored arrows in the figures indicate the effective EMF application periods after the seed germinations. The color codes in the plots indicate the measurement results with different EMF application periods (black dot: 0 h, red: 24 h, green: 48 h, blue: 72 h). The inner (upper) graphs indicate that the relative shoot length increased after 96 h of cultivation with different EMF application times and directions from early shoot growth (after germination). Different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Comparison of shoot growth and root proliferation (<span class="html-italic">R. sativus</span> and <span class="html-italic">S. officinarum</span>) under various EMF application conditions (EMF upward (<b>a</b>,<b>c</b>) and EMF downward (<b>b</b>,<b>d</b>)). The dotted line indicates the growth measurement level. Data were obtained after 96 h of cultivation.</p>
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<p>Comparison of shoot growth and root proliferation (<span class="html-italic">R. sativus</span> and <span class="html-italic">S. officinarum</span>) under various EMF application conditions (EMF upward (<b>a</b>,<b>c</b>) and EMF downward (<b>b</b>,<b>d</b>)). The dotted line indicates the growth measurement level. Data were obtained after 96 h of cultivation.</p>
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<p>Effects of EMF application on IAA concentration in plants (<span class="html-italic">R. sativus</span> (<b>a</b>) and <span class="html-italic">S. officinarum</span> (<b>b</b>)). Results were obtained after 96 h of cultivation. Whole plants were used for IAA analysis. Different lowercase letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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14 pages, 4333 KiB  
Article
Eddy Current-Based Delamination Imaging in CFRP Using Erosion and Thresholding Approaches
by Dario J. Pasadas, Mohsen Barzegar, Artur L. Ribeiro and Helena G. Ramos
Sensors 2024, 24(18), 5932; https://doi.org/10.3390/s24185932 - 13 Sep 2024
Viewed by 273
Abstract
Carbon fiber reinforced plastic (CFRP) is a composite material known for its high strength-to-weight ratio, stiffness, and corrosion and fatigue resistance, making it suitable for its use in structural components. However, CFRP can be subject to various types of damage, such as delamination, [...] Read more.
Carbon fiber reinforced plastic (CFRP) is a composite material known for its high strength-to-weight ratio, stiffness, and corrosion and fatigue resistance, making it suitable for its use in structural components. However, CFRP can be subject to various types of damage, such as delamination, matrix cracking, or fiber breakage, requiring nondestructive evaluation to ensure structural integrity. In this context, damage imaging algorithms are important for assessing the condition of this material. This paper presents signal and image processing methods for delamination characterization of thin CFRP plates using eddy current testing (ECT). The measurement system included an inductive ECT probe with three coil elements, which has the characteristic of allowing eddy currents to be induced in the specimen with two different configurations. In this study, the peak amplitude of the induced voltage in the receiver element and the phase shift between the excitation and receiver signals were considered as damage-sensitive features. Using the ECT probe, C-scans were performed in the vicinity of delamination defects of different sizes. The dimensions and shape of the ECT probe were considered by applying the erosion method in the damage imaging process. Different thresholding approaches were also investigated to extract the size of the defective areas. To evaluate the impact of this application, a comparison is made between the results obtained before and after thresholding using histogram analysis. The evaluation of damage imaging for three different delamination sizes is presented for quantitative analysis. Full article
(This article belongs to the Special Issue Sensors in Nondestructive Testing)
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<p>Representation of the three specimens under test with delaminations of different lengths from the top view: (<b>a</b>) 5 mm; (<b>b</b>) 20 mm; (<b>c</b>) 50 mm; and the corresponding profile view of the mentioned delaminations: (<b>d</b>) 5 mm; (<b>e</b>) 20 mm; (<b>f</b>) 50 mm.</p>
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<p>Characteristics of the ECT probe used to inspect the CFRP specimens based on (<b>a</b>) excitation configuration 1; (<b>b</b>) excitation configuration 2.</p>
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<p>Experimental setup.</p>
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<p>Impedance-frequency characteristic curve of the sensing element of the ECT probe.</p>
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<p>Workflow of the methodology used for imaging and sizing of the delaminations in the CFRP plates.</p>
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<p>Signals of the sensing element of the ECT probe applying the two different excitation configurations.</p>
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<p>Representation of the C-scans performed in the vicinity of the 20 mm delamination: (<b>a</b>) amplitude map obtained using the excitation configuration 1; (<b>b</b>) phase shift map obtained using excitation configuration 1; (<b>c</b>) amplitude map obtained using excitation configuration 2; (<b>d</b>) phase shift map obtained using excitation configuration 2.</p>
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<p>C-scan representations showing the maximum amplitude variation for different delaminations and excitation configurations: (<b>a</b>) 5 mm delamination using excitation configuration 1; (<b>b</b>) 5 mm delamination using excitation configuration 2; (<b>c</b>) 20 mm delamination using excitation configuration 1; (<b>d</b>) 20 mm delamination using excitation configuration 2; (<b>e</b>) 50 mm delamination using excitation configuration 1; (<b>f</b>) 50 mm delamination using excitation configuration 2.</p>
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<p>Results of applying the erosion method on an amplitude map: (<b>a</b>) C-scan image after applying the erosion method; (<b>b</b>) <span class="html-italic">Y</span>-axis view of the results before and after applying the erosion method.</p>
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<p>Histograms of pixel intensity distributions of the amplitude maps for the three delamination cases: (<b>a</b>) 5 mm delamination; (<b>b</b>) 20 mm delamination; (<b>c</b>) 50 mm delamination.</p>
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<p>Resulting images were obtained after applying both thresholding at −6 dB and erosion for the three delamination cases: (<b>a</b>) 5 mm delamination; (<b>b</b>) 20 mm delamination; (<b>c</b>) 50 mm delamination.</p>
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<p>Results for the T2 sample containing a delamination depth of 0.14 mm with respect to the surface close to the ECT probe: (<b>a</b>) original C-scan; (<b>b</b>) after applying both thresholding at −6 dB and erosion process.</p>
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15 pages, 1482 KiB  
Article
Microbiological Quality of Coconut Water Sold in the Grande Vitória Region, Brazil, and Phenogenotypic Antimicrobial Resistance of Associated Enterobacteria
by Valéria Modolo Peterle, Juliana Aliprandi Bittencourt Cardoso, Carolina Magri Ferraz, Delcimara Ferreira de Sousa, Natália Pereira, Alessandra Figueiredo de Castro Nassar, Vanessa Castro, Luis Antonio Mathias, Marita Vedovelli Cardozo and Gabriel Augusto Marques Rossi
Microorganisms 2024, 12(9), 1883; https://doi.org/10.3390/microorganisms12091883 - 12 Sep 2024
Viewed by 507
Abstract
This study aimed to evaluate the microbiological quality of coconut water sold from street carts equipped with cooling coils or refrigerated at bakeries in the Grande Vitória Region, Brazil. Additionally, it assessed the phenotypic and genotypic antimicrobial resistance profiles of isolated enterobacteria. The [...] Read more.
This study aimed to evaluate the microbiological quality of coconut water sold from street carts equipped with cooling coils or refrigerated at bakeries in the Grande Vitória Region, Brazil. Additionally, it assessed the phenotypic and genotypic antimicrobial resistance profiles of isolated enterobacteria. The results indicated that coconut water sold at street carts had lower microbiological quality compared to refrigerated samples, as evidenced by significantly higher counts of mesophilic microorganisms. Using MALDI-TOF, the following opportunistic pathogens were identified: Citrobacter freundii, Enterobacter bugandensis, E. kobei, E. roggenkampii, Klebsiella pneumoniae, and Kluyvera ascorbata. Three isolates—E. bugandensis, K. pneumoniae, and K. ascorbata—were classified as multidrug-resistant (MDR). Widespread resistance to β-lactams and cephalosporins was detected, and some isolates were resistant to quinolones, nitrofurans, and phosphonic acids. The gene blaCTX-M-2 was detected in C. freundii, E. bugandensis, E. kobei, and K. ascorbata. However, genes blaNDM, blaKPC, blaCMY-1, and blaCMY-2 were not detected in any isolate. The findings underscore the need to enhance good manufacturing practices in this sector to control the spread of antimicrobial resistance (AMR). To our knowledge, this is the first study documenting the presence of potentially pathogenic enterobacteria in coconut water samples and their associated phenotypic and genotypic AMR profiles. Full article
(This article belongs to the Special Issue Antimicrobial Resistance in Enterobacteriaceae and Enterococci)
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<p>A representative drawing of a street coconut cart (street stall) selling coconut water, located on the beaches of the Grande Vitória Region, Brazil. It is noted that the cart has an insulated box with a metallic cooling coil surrounded by ice cubes inside, used to reduce the temperature of the coconut water as it passes through until it is dispensed from a faucet into cups or plastic bottles (Figure created using Canva website: <a href="https://www.canva.com" target="_blank">https://www.canva.com</a> accessed on 8 July 2024).</p>
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<p>Map of the area where samples of coconut water were acquired during the year 2023 for microbiological analysis. Samples from the municipalities of Vila Velha and Vitória are included. These municipalities are part of the Vitória Region (the capital city’s macroregion), located in the state of Espírito Santo, Brazil.</p>
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<p>A flowchart representing the laboratory analyses conducted in the study. Briefly, the samples were subjected to serial decimal dilution. Then, they were used for inoculation in Petri dishes containing culture media to determine counts of mesophilic and psychrotrophic aerobic microorganisms and detect the presence of suggestive colonies of <span class="html-italic">Escherichia coli</span>. Brilliant green colonies were then identified using the MALDI-TOF and subsequently used for the evaluation of antimicrobial resistance profiles by the disk diffusion test and for PCR to verify the presence of genes related to antimicrobial resistance (figure created using Canva website: <a href="https://www.canva.com" target="_blank">https://www.canva.com</a> 8 July 2024).</p>
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<p>Bar chart of the mean values and standard deviation of mesophilic and psychrotrophic microorganism counts (log10 CFU/mL) in the two groups of coconut water samples analyzed (from bakeries and street carts) in this study.</p>
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15 pages, 816 KiB  
Article
Collaborative Online International Learning (COIL): A Teaching and Learning Experience in Nursing
by Marta Roqueta-Vall-llosera, Maria del Carmen Malagón-Aguilera, Gloria Reig-Garcia, Afra Masià-Plana, Eva Serrat-Graboleda and Anna Bonmatí-Tomàs
Nurs. Rep. 2024, 14(3), 2355-2369; https://doi.org/10.3390/nursrep14030175 - 11 Sep 2024
Viewed by 457
Abstract
Background: Collaborative Online International Learning (COIL) involves international online activities that allow the support of transversal competencies in diverse and multicultural environments without moving from home. This paper presents the learning experiences and satisfaction of undergraduate nursing students at the University of Girona [...] Read more.
Background: Collaborative Online International Learning (COIL) involves international online activities that allow the support of transversal competencies in diverse and multicultural environments without moving from home. This paper presents the learning experiences and satisfaction of undergraduate nursing students at the University of Girona (Spain) from a COIL activity involving clinical simulation in collaboration with the University of Coventry (United Kingdom). Methods: Qualitative study of content analysis. Twelve students from each of the two universities participated in the data collection process using reflective diaries. Results: The data analysis highlighted five topics related to the COIL activity involving clinical simulation: (a) initial attitudes towards the COIL activity; (b) main learning through the COIL activity; (c) positive aspects of the COIL activity; (d) weaknesses of the COIL activity and proposals for improvement; and (e) overall evaluation of the COIL activity. Conclusions: The main learning outcomes referred to by students were the relationships between transversal competencies and the skills for life, language skills, cultural skills, and more specific skills related to clinical standards. The students were most satisfied with the teaching activities and specified positive aspects and weaknesses that will add value to future versions of the activities. Full article
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<p>Development stages of the COIL.</p>
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<p>Learning themes and categories tree.</p>
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16 pages, 6507 KiB  
Article
Neutral-Point Voltage Regulation and Control Strategy for Hybrid Grounding System Combining Power Module and Low Resistance in 10 kV Distribution Network
by Yu Zhou, Kangli Liu, Wanglong Ding, Zitong Wang, Yuchen Yao, Tinghuang Wang and Yuhan Zhou
Electronics 2024, 13(18), 3608; https://doi.org/10.3390/electronics13183608 - 11 Sep 2024
Viewed by 245
Abstract
A single-phase grounding fault often occurs in 10 kV distribution networks, seriously affecting the safety of equipment and personnel. With the popularization of urban cables, the low-resistance grounding system gradually replaced arc suppression coils in some large cities. Compared to arc suppression coils, [...] Read more.
A single-phase grounding fault often occurs in 10 kV distribution networks, seriously affecting the safety of equipment and personnel. With the popularization of urban cables, the low-resistance grounding system gradually replaced arc suppression coils in some large cities. Compared to arc suppression coils, the low-resistance grounding system features simplicity and reliability. However, when a high-resistance grounding fault occurs, a lower amount of fault characteristics cannot trigger the zero-sequence protection action, so this type of fault will exist for a long time, which poses a threat to the power grid. To address this kind of problem, in this paper, a hybrid grounding system combining the low-resistance protection device and fully controlled power module is proposed. During a low-resistance grounding fault, the fault isolation is achieved through the zero-sequence current protection with the low-resistance grounding system itself, while, during a high-resistance grounding fault, the reliable arc extinction is achieved by regulating the neutral-point voltage with a fully controlled power module. Firstly, this paper introduces the principles, topology, and coordination control of the hybrid grounding system for active voltage arc extinction. Subsequently, a dual-loop-based control method is proposed to suppress the fault phase voltage. Furthermore, a faulty feeder selection method based on the Kepler optimization algorithm and convolutional neural network is proposed for the timely removal of permanent faults. Lastly, the simulation and HIL-based emulated results verify the rationality and effectiveness of the proposed method. Full article
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<p>Topology of the hybrid grounding system.</p>
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<p>The operation flowchart of the hybrid grounding system.</p>
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<p>The block diagram of the dual-loop-based control strategy.</p>
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<p>Bode plot of the current inner loop: (<b>a</b>) Bode plot of 1/<span class="html-italic">L<sub>v</sub></span>; and (<b>b</b>) Bode plot of closed-current inner loop.</p>
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<p>Bode plot of the voltage outer loop.</p>
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<p>Bode plot of open-loop transfer function of the voltage outer loop when <span class="html-italic">R<sub>f</sub></span> changes.</p>
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<p>Bode plot of the dual-loop transfer function.</p>
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<p>The flowchart of faulty feeder selection method.</p>
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<p>Simulation results of fault phase voltage and current when the fault is suppressed: (<b>a</b>) <span class="html-italic">R<sub>f</sub></span> = 0.3 kΩ; (<b>b</b>) <span class="html-italic">R<sub>f</sub></span> = 1 kΩ; and (<b>c</b>) <span class="html-italic">R<sub>f</sub></span> = 3 kΩ.</p>
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<p>Simulation results of fault phase voltage and current when the fault is suppressed: (<b>a</b>) <span class="html-italic">R<sub>f</sub></span> = 0.3 kΩ; (<b>b</b>) <span class="html-italic">R<sub>f</sub></span> = 1 kΩ; and (<b>c</b>) <span class="html-italic">R<sub>f</sub></span> = 3 kΩ.</p>
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<p>Fault phase voltage and current under the switching process (<span class="html-italic">R<sub>f</sub></span> = 1 kΩ).</p>
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<p>Fault phase voltage and current (<span class="html-italic">R<sub>f</sub></span> = 10 Ω).</p>
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<p>HIL-based experiment platform.</p>
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<p>Dynamic experimental result.</p>
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<p>The simulation model for faulty feeder selection.</p>
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<p>Wavelet transform process.</p>
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<p>Comparison of training accuracy.</p>
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<p>Comparison of training loss.</p>
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11 pages, 3103 KiB  
Article
Peripheral Non-Contrast MR Angiography Using FBI: Scan Time and T2 Blurring Reduction with 2D Parallel Imaging
by Won C. Bae, Lewis Hahn, Vadim Malis, Anya Mesa, Diana Vucevic and Mitsue Miyazaki
J. Imaging 2024, 10(9), 223; https://doi.org/10.3390/jimaging10090223 - 9 Sep 2024
Viewed by 358
Abstract
Non-contrast magnetic resonance angiography (NC-MRA), including fresh blood imaging (FBI), is a suitable choice for evaluating patients with peripheral artery disease (PAD). We evaluated standard FBI (sFBI) and centric ky-kz FBI (cFBI) acquisitions, using 1D and 2D parallel imaging factors (PIFs) to assess [...] Read more.
Non-contrast magnetic resonance angiography (NC-MRA), including fresh blood imaging (FBI), is a suitable choice for evaluating patients with peripheral artery disease (PAD). We evaluated standard FBI (sFBI) and centric ky-kz FBI (cFBI) acquisitions, using 1D and 2D parallel imaging factors (PIFs) to assess the trade-off between scan time and image quality due to blurring. The bilateral legs of four volunteers (mean age 33 years, two females) were imaged in the coronal plane using a body array coil with a posterior spine coil. Two types of sFBI and cFBI sequences with 1D PIF factor 5 in the phase encode (PE) direction (in-plane) and 2D PIF 3 (PE) × 2 (slice encode (SE)) (in-plane, through-slice) were studied. Image quality was evaluated by a radiologist, the vessel’s signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were measured, and major vessel width was measured on the coronal maximum intensity projection (MIP) and 80-degree MIP. Results showed significant time reductions from 184 to 206 s on average when using sFBI down to 98 to 162 s when using cFBI (p = 0.003). Similar SNRs (averaging 200 to 370 across all sequences and PIF) and CNRs (averaging 190 to 360) for all techniques (p > 0.08) were found. There was no significant difference in the image quality (averaging 4.0 to 4.5; p > 0.2) or vessel width (averaging 4.1 to 4.9 mm; p > 0.1) on coronal MIP due to sequence or PIF. However, vessel width measured using 80-degree MIP demonstrated a significantly wider vessel in cFBI (5.6 to 6.8 mm) compared to sFBI (4.5 to 4.7 mm) (p = 0.022), and in 1D (4.7 to 6.8 mm) compared to 2D (4.5 to 5.6 mm) (p < 0.05) PIF. This demonstrated a trade-off in T2 blurring between 1D and 2D PIF: 1D using a PIF of 5 shortened the acquisition window, resulting in sharper arterial blood vessels in coronal images but significant blur in the 80-degree MIP. Two-dimensional PIF for cFBI provided a good balance between shorter scan time (relative to sFBI) and good sharpness in both in- and through-plane, while no benefit of 2D PIF was seen for sFBI. In conclusion, this study demonstrated the usefulness of FBI-based techniques for peripheral artery imaging and underscored the need to strike a balance between scan time and image quality in different planes through the use of 2D parallel imaging. Full article
(This article belongs to the Section Medical Imaging)
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<p>(<b>A</b>) Sequence diagram of electrocardiogram (ECG)-synchronized 3D half-Fourier fast spin echo (FSE). The 3D half-Fourier FSE sequence is ECG-synchronized for each slice encoding to obtain the same cardiac phase in every slice partition. (<b>B</b>) We utilized two different acquisition sequences of standard FBI (sFBI) and zigzag centric ky-kz trajectory FBI (cFBI), both with asymmetric Fourier imaging (AFI) in the phase encode direction. (<b>C</b>) FBI subtraction image (from Subject #1) is created from the subtraction of diastolic minus systolic source images.</p>
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<p>Subtraction (<b>A</b>,<b>B</b>) sFBI and (<b>C</b>,<b>D</b>) cFBI images acquired in the coronal plane using (<b>A</b>,<b>C</b>) 1D and (<b>B</b>,<b>D</b>) 2D parallel imaging. The images are from Subject #2.</p>
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<p>Coronal maximum intensity projection (MIP) images created from (<b>A</b>,<b>B</b>) sFBI and (<b>C</b>,<b>D</b>) cFBI subtraction images acquired using (<b>A</b>,<b>C</b>) 1D and (<b>B</b>,<b>D</b>) 2D parallel imaging. All of the images depicted the large peripheral artery with good contrast and sharpness. Using 1D parallel imaging factor or PIF (<a href="#jimaging-10-00223-f002" class="html-fig">Figure 2</a>C), smaller branched vessels (arrows) were more distinctly visible compared to those on the 2D PIF image (<a href="#jimaging-10-00223-f002" class="html-fig">Figure 2</a>D). Note that 1D PIF was applied with 5 (phase encode, PE) × 1 (slice encode, SE) and 2D PIF was applied with 3 (PE) × 2 (SE). The images are from Subject #2.</p>
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<p>Oblique (nearly sagittal) maximum intensity projection or MIP images at 80-deg rotation, acquired with sFBI 1D parallel imaging factor or PIF (<b>A</b>), sFBI 2D PIF (<b>B</b>), cFBI 1D PIF (<b>C</b>), and cFBI 2D PIF (<b>D</b>). Arrowheads indicate measurement location for vessel width, and the arrows are pointed at smaller arteries. (<b>E</b>) Vessel widths measured on coronal MIP images showed no differences between techniques. <span class="html-italic">p</span>-value for acquisition (sFBI vs. cFBI) was 0.1, PIF (1D vs. 2D) was 0.5, and the interaction term was 0.053. Power for acquisition, PIF, and interaction were 0.45, 0.07, and 0.65, respectively. In contrast, (<b>F</b>) vessel widths measured on 80 deg oblique images demonstrated notably wider vessels (arrowheads) in cFBI compared to sFBI. <span class="html-italic">p</span>-value for acquisition was 0.022, PIF was 0.047, and the interaction term was 0.08. Power for acquisition, PIF, and interaction were 0.96, 0.16, and 0.10, respectively. For sFBI, the use of 2D PIF did not improve the 80 deg MIP image, which was expected since there is no acquisition difference in the SE direction when compared to 1D, but the blurring was slightly worse in the coronal MIP (<b>E</b>). Additionally, for cFBI, using 2D PIF further increased the width and caused blurring of smaller branching vessels (arrows). The images are from Subject #3.</p>
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<p>Grades of the sharpness of the vessels determined on coronal maximum intensity projection images. Mean +/− standard deviation, n = 4 subjects. <span class="html-italic">p</span>-value for acquisition (sFBI vs. cFBI) was 0.5, PIF (1D vs. 2D) was 0.2, and the interaction term was 1.0. Power for acquisition, PIF, and interaction were 0.56, 0.56, and 0.05, respectively.</p>
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<p>Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of the femoral artery relative to surrounding muscle in (<b>A</b>) sFBI and (<b>B</b>) cFBI source images. Mean + standard deviation, n = 4 subjects. For SNR values, <span class="html-italic">p</span>-value for acquisition (sFBI vs. cFBI) was 0.3, PIF (1D vs. 2D) was 0.08, and the interaction term was 0.4. Power for acquisition, PIF, and interaction were 0.84, 0.32, and 0.06, respectively. For CNR values, <span class="html-italic">p</span>-value for acquisition was 0.3, PIF was 0.08, and the interaction term was 0.3. Power for acquisition, PIF, and interaction were 0.80, 0.34, and 0.06, respectively.</p>
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22 pages, 5569 KiB  
Review
Review on Short-Circuit Protection Methods for SiC MOSFETs
by Gang Lyu, Hamid Ali, Hongrui Tan, Lyuzhang Peng and Xiaofeng Ding
Energies 2024, 17(17), 4523; https://doi.org/10.3390/en17174523 - 9 Sep 2024
Viewed by 341
Abstract
SiC MOSFETs have been a game-changer in the domain of power electronics, thanks to their exceptional electrical traits. They are endowed with a high breakdown voltage, reduced on-resistance, and superior thermal conductivity, which make them supremely suitable for high-power and resilient applications across [...] Read more.
SiC MOSFETs have been a game-changer in the domain of power electronics, thanks to their exceptional electrical traits. They are endowed with a high breakdown voltage, reduced on-resistance, and superior thermal conductivity, which make them supremely suitable for high-power and resilient applications across aviation, automotive, and renewable energy sectors. Despite their intrinsic advantages, SiC MOSFETs also necessitate advanced safeguarding mechanisms to counteract the vulnerability to short-circuit conditions due to their lower short-circuit robustness. This review paper offers an in-depth analysis of the array of short-circuit protection (SCP) methods applied to SiC MOSFETs. This paper scrutinizes techniques such as desaturation detection, di/dt detection, gate charge characteristics monitoring, two-dimensional monitoring, Rogowski coil-based detection, and two-stage turn-off strategies. The paper meticulously explores the operational principles, merits, and limitations of each method, with an emphasis on their adaptability to various fault types, including hard switching faults and load-induced faults. This review acts as a thorough compendium, guiding the choice of pertinent SCP strategies, ensuring the secure and efficient functioning of SiC MOSFETs in demanding applications. Full article
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<p>Short-circuit protection methods.</p>
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<p>(<b>a</b>) Short circuit’s test bench, (<b>b</b>) SiC MOSFET’s parameters under an HSF and normal turn-on, and (<b>c</b>) SiC MOSFET’s parameters under an FUL and normal turn-on.</p>
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<p>Analysis of short-circuit tolerance: Comparison of SiC MOSFET vs. Si IGBT in terms of (<b>a</b>) SCWT and (<b>b</b>) <span class="html-italic">E</span>cr.</p>
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<p>The trade-off curves between <span class="html-italic">R</span><sub>ds,on</sub> and SCWT for the 1.2 kV SiC power MOSFET C2M0280120D with various Si GSS-DMM devices [<a href="#B48-energies-17-04523" class="html-bibr">48</a>].</p>
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<p>The output characteristics of a (<b>a</b>) SiC MOSFET and (<b>b</b>) a Si IGBT.</p>
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<p>SC test verification: the 2D TCAD simulation (TCAD-SIMREF) of (<b>a</b>) the lattice temperature and (<b>b</b>) the volume heat distribution inside the power MOSFET structure at the end of the SC time (<span class="html-italic">t</span>sc = 11 µs) [<a href="#B53-energies-17-04523" class="html-bibr">53</a>].</p>
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<p>(<b>a</b>) Desaturation SCP circuit; (<b>b</b>) desaturation SCP with self-adjustive blanking time.</p>
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<p>Desaturation methods: (<b>a</b>) with fast C<sub>b</sub> discharging; (<b>b</b>) <math display="inline"><semantics> <mrow> <mo>∫</mo> <msub> <mi>V</mi> <mrow> <mi>DS</mi> </mrow> </msub> <mi mathvariant="normal">d</mi> <mi>t</mi> </mrow> </semantics></math>.</p>
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<p>d<span class="html-italic">v</span>/d<span class="html-italic">t</span> detection method.</p>
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<p>PCB-based Rogowski coil.</p>
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<p>TMR Sensor [<a href="#B85-energies-17-04523" class="html-bibr">85</a>].</p>
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<p>d<span class="html-italic">i</span>/d<span class="html-italic">t</span> detection method: (<b>a</b>) RC integrator; (<b>b</b>) RCD integrator.</p>
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<p><span class="html-italic">Q</span><sub>G</sub> vs. <span class="html-italic">V</span><sub>GS</sub> response under an HSF and normal turn-on.</p>
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<p>Gate charge characteristics method [<a href="#B89-energies-17-04523" class="html-bibr">89</a>].</p>
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<p>Two-dimensional protection method.</p>
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<p>The indirect power dissipation SCP [<a href="#B34-energies-17-04523" class="html-bibr">34</a>].</p>
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<p>Soft slope turn-off.</p>
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<p>Two-step turn-off.</p>
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<p>Multi-step STO.</p>
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22 pages, 6029 KiB  
Article
The Development of a High-Efficiency Small Induction Furnace for a Glass Souvenir Production Process Using Multiphysics
by Jatuporn Thongsri, Piyawong Poopanya, Sanguansak Sriphalang and Sorathorn Pattanapichai
Clean Technol. 2024, 6(3), 1181-1202; https://doi.org/10.3390/cleantechnol6030058 - 9 Sep 2024
Viewed by 363
Abstract
A small induction furnace (SIF), which has the important components of copper coils, a ceramic jig, and a graphite crucible, employed for a glass souvenir production process, has been developed as a form of clean technology for multiphysics, consisting of electromagnetics analysis (EA) [...] Read more.
A small induction furnace (SIF), which has the important components of copper coils, a ceramic jig, and a graphite crucible, employed for a glass souvenir production process, has been developed as a form of clean technology for multiphysics, consisting of electromagnetics analysis (EA) and thermal analysis (TA). First, two experiments were established to measure parameters for multiphysics results validation and boundary condition settings. Then, the parameters were applied to multiphysics, in which the EA revealed magnetic flux density (B) and ohmic losses, and the TA reported a temperature consistent with the experimental results, confirming the multiphysics credibility. Next, a ferrite flux concentrator was added to the SIF during development. Multiphysics revealed that PC40 ferrite, as a flux concentrator with a suitable design, could increase B by about 159% compared to the conventional SIF at the power of 1000 W. As expected, the B increases alongside the increase in power applied to the coils, and is more densely concentrated in the flux concentrator than in other regions, enhancing the production process efficacy. Lastly, the developed SIF was employed in the actual process and received good feedback from users. The novel research findings are the developed SIF and methodology, exclusively designed for this research and practically employed for a glass souvenir production process. Full article
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<p>The sample of (<b>a</b>) a glass souvenir and (<b>b</b>) a small induction furnace for a glass souvenir production process.</p>
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<p>The glass souvenir production process.</p>
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<p>A sample of a glass souvenir prepared with a thermochromic dye.</p>
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<p>The induction heating in SIF.</p>
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<p>The research methodology flowchart.</p>
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<p>The conventional SIF and material components.</p>
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<p>The setup experiments.</p>
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<p>The CAD model with dimensions for (<b>a</b>) coils, (<b>b</b>) jig and crucible, and (<b>c</b>) SIF.</p>
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<p>Mesh model.</p>
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<p>The boundary conditions and material property settings for electromagnetic analysis.</p>
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<p>Zones on the crucible for thermal setting.</p>
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<p>The temperature inside the crucible: (<b>a</b>) captured by the camera and (<b>b</b>) calculated by multiphysics.</p>
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<p>The magnetic flux density (<span class="html-italic">B</span>): (<b>a</b>) around the coils and (<b>b</b>) on the crucible surface.</p>
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<p>(<b>a</b>) Dimensions of Ferrite B (Mn-Zn) and (<b>b</b>) <span class="html-italic">B<sub>s</sub></span> calculated by EA.</p>
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<p>The <span class="html-italic">B</span> inside the Ferrite B for (<b>a</b>) Model I and (<b>b</b>) Model II.</p>
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<p>The <span class="html-italic">B</span> inside PC40 for the thickness of (<b>a</b>) 5 mm and (<b>b</b>) 15 mm.</p>
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10 pages, 3158 KiB  
Article
Role of Pulsed Electromagnetic Field on Alveolar Bone Remodeling during Orthodontic Retention Phase in Rat Models
by Hafiedz Maulana, Yuyun Yueniwati, Nur Permatasari and Hadi Suyono
Dent. J. 2024, 12(9), 287; https://doi.org/10.3390/dj12090287 - 9 Sep 2024
Viewed by 275
Abstract
Alveolar bone remodeling during the retention phase is essential for successful orthodontic treatment. Pulsed electromagnetic field (PEMF) therapy is an adjunctive therapy for bone-related diseases that induces osteogenesis and prevents bone loss. This study aimed to examine the role of PEMF exposure during [...] Read more.
Alveolar bone remodeling during the retention phase is essential for successful orthodontic treatment. Pulsed electromagnetic field (PEMF) therapy is an adjunctive therapy for bone-related diseases that induces osteogenesis and prevents bone loss. This study aimed to examine the role of PEMF exposure during the retention phase of orthodontic treatment in alveolar bone remodeling. A total of 36 male Wistar rats were divided into control, PEMF 7, and PEMF 14 groups; a 50 g force nickel–titanium closed-coil spring was inserted to create mesial movement in the first molar for 21 d. Furthermore, the spring was removed, and the interdental space was filled with glass ionomer cement. Concurrently, rats were exposed to a PEMF at 15 Hz with a maximum intensity of 2.0 mT 2 h daily, for 7 and 14 days. Afterwards, the cements were removed and the rats were euthanized on days 1, 3, 7, and 14 to evaluate the expression of Wnt5a mRNA and the levels of RANKL, OPG, ALP, and Runx2 on the tension side. The data were analyzed with ANOVA and post hoc tests, with p < 0.05 declared statistically significant. PEMF exposure significantly upregulated Wnt5a mRNA expression, OPG and ALP levels, and Runx2 expression, and decreased RANKL levels in the PEMF 7 and 14 groups compared to the control group (p < 0.05). This study showed that PEMF exposure promotes alveolar bone remodeling during the orthodontic retention phase on the tension side by increasing alveolar bone formation and inhibiting resorption. Full article
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<p>Research design. (<b>A</b>) PEMF stimulation phases, (<b>B</b>) orthodontic appliance installation, (<b>C</b>) post orthodontic tooth movement, (<b>D</b>) absorption of GCF sample with paper points, and (<b>E</b>) sampling region (white arrow) for RT-PCR. PEMF: pulsed electromagnetic field, GCF: gingival crevicular fluid, RT-PCR: real-time polymerase chain reaction.</p>
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<p>PEMF stimulator. (<b>A</b>) The PEMF device and rats were kept in a special fiber cage, placed between a Helmholtz coil and exposed 2 h/day. (<b>B</b>) The waveform was square with a burst width of 5 ms, burst wait of 60 ms, pulse width of 0.2 ms, pulse wait of 0.02 ms, pulse rise of 0.3 μs, and pulse fall of 2.0 μs.</p>
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<p>The histogram of Wnt5a mRNA expression. *: <span class="html-italic">p</span> &lt; 0.05, significant compared with control group. PEMF: pulsed electromagnetic field.</p>
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<p>The histogram of RANKL, OPG, and ALP levels. *: <span class="html-italic">p</span> &lt; 0.05, significant compared with control group; #: <span class="html-italic">p</span> &lt; 0.05, significant compared with PEMF 7 group. PEMF: pulsed electromagnetic field, RANKL: receptor activator of nuclear factor-kappa B ligand, OPG: osteoprotegerin, ALP: alkaline phosphatase.</p>
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<p>Histogram and immunohistochemical image of Runx2 expression. Runx2 positive-osteoblast (black arrow) and the direction of tooth movement (blue arrow). *: <span class="html-italic">p</span> &lt; 0.05, significant compared with control group; #: <span class="html-italic">p</span> &lt; 0.05, significant compared with PEMF 7 group. PEMF: pulsed electromagnetic field, T: tooth, PDL: periodontal ligament, AB: alveolar bone, Runx2: runt-related transcription factor 2.</p>
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