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13 pages, 312 KiB  
Article
Indicators of Obesity and Cardiorespiratory Fitness in Croatian Children
by Marko Badrić, Leona Roca, Vladan Pelemiš, Dragan Branković and Vladimir Živanović
J. Funct. Morphol. Kinesiol. 2024, 9(4), 250; https://doi.org/10.3390/jfmk9040250 - 29 Nov 2024
Viewed by 2541
Abstract
Background/Objectives: The aim of this study is to investigate the relationship between CRF (cardiorespiratory fitness) and body composition, specifically obesity indicators, in a sample of schoolchildren from the continental and Adriatic regions of the Republic of Croatia. Given that Croatia ranks among the [...] Read more.
Background/Objectives: The aim of this study is to investigate the relationship between CRF (cardiorespiratory fitness) and body composition, specifically obesity indicators, in a sample of schoolchildren from the continental and Adriatic regions of the Republic of Croatia. Given that Croatia ranks among the leading countries in Europe in terms of obesity, it is believed that there is a need to combat this condition starting from school age. The usefulness of cardiorespiratory fitness (CRF) lies in the fact that it is one of the indicators of children’s overall health and is considered a measure of general health status. The findings will emphasize the need to determine CRF and BMI as important factors that should be addressed from early school years in order to prevent future cardiovascular diseases. Methods: The total sample consisted of 423 students, including 212 girls and 211 boys, from the continental and Adriatic regions of the Republic of Croatia, with an average age of 10.32 years. Body height was measured using a portable stadiometer, while body weight, body mass index (BMI), and body fat percentage were measured using a dual-frequency body composition analyzer (TANITA DC-360P) based on the principles of bioelectrical impedance. The WHR index was calculated as the ratio of waist to hips, while the WHtR index was calculated as the ratio of waist circumference to height. Cardiorespiratory fitness was assessed using the 20-meter multistage shuttle run test. Results: The results show that 25% of the participants were overweight, and 9% were obese. The ANOVA results indicate that the boys had significantly higher values for BMI, WC, HC, WHtR, and WHR, while the girls had a significantly higher body fat percentage (BF%). Additionally, the boys had better CRF, as they ran more meters in the 20-meter shuttle run test. The variance analysis revealed that the participants with normal body weight had significantly higher cardiorespiratory capacity values compared to overweight or obese students. Regression analysis showed statistical significance for the set of predictor variables, which were BMI indicators, on the criterion variable predicting cardiorespiratory fitness (CRF) in both genders. The coefficient of determination (R2) explained almost 22% of the shared variability in boys and 19% in girls. Statistically significant beta coefficients were found for body fat percentage (−0.60) in boys and (−0.98) in girls. Conclusions: Body fat percentage (BF%) was shown to be a significant and useful predictor of cardiorespiratory fitness in school-aged boys and girls. Maintaining an optimal body weight along with high levels of CRF should be an important goal in promoting health among children and adolescents. Full article
(This article belongs to the Section Physical Exercise for Health Promotion)
16 pages, 7099 KiB  
Article
Economical Experimental Device for Evaluating Thermal Conductivity in Construction Materials under Limited Research Funding
by Damien Ali Hamada Fakra, Rijalalaina Rakotosaona, Marie Hanitriniaina Ratsimba, Mino Patricia Randrianarison and Riad Benelmir
Metrology 2024, 4(3), 430-445; https://doi.org/10.3390/metrology4030026 - 30 Aug 2024
Viewed by 936
Abstract
African scientific research faces formidable challenges, particularly with limited access to state-of-the-art measurement instruments. The high cost associated with these devices presents a significant barrier for regional research laboratories, impeding their ability to conduct sophisticated experiments and gather precise data. This predicament not [...] Read more.
African scientific research faces formidable challenges, particularly with limited access to state-of-the-art measurement instruments. The high cost associated with these devices presents a significant barrier for regional research laboratories, impeding their ability to conduct sophisticated experiments and gather precise data. This predicament not only hampers the individual laboratories but also has broader implications for the African scientific community and the advancement of knowledge in developing nations—the financial cost barrier considerably impacts the research quality of these laboratories. Reflection on technical and economical solutions needs to be quickly found to help these countries advance their research. In civil engineering, the thermal conductivity property is the most important measurement for characterizing heat transfer in construction materials. Existing devices (i.e., conductometers) in a laboratory are expensive (approximately EUR 30,000) and unavailable for some African laboratories. This study proposes a new and affordable device to evaluate thermal conductivity in construction materials. The method involves establishing a thermal flux between a heat source (from the Joule effect provided by steel wool where a current is circulating) and a cold source (generated by ice cubes) under steady-state conditions. The development of the cylindrical prototype is based on the comparative flux-meter method outlined in the measuring protocol of the ASTM E1225 standard document. Experiments were conducted on four distinct materials (polystyrene, wood, agglomerated wood, and rigid foam). The results indicate a correct correlation between the experimental values obtained from the newly developed prototype and the reference values found in the literature. For example, concerning the experimental polystyrene study, the detailed case analysis reveals a good correlation, with a deviation of only 4.88%. The percent error found falls within the acceptable range indicated by the standard recommendations of the ASTM E1225 standard, i.e., within 5% acceptable error. Full article
Show Figures

Figure 1

Figure 1
<p>Schematic view of the experimental thermal exchange model (<math display="inline"><semantics> <msub> <mi>T</mi> <mn>1</mn> </msub> </semantics></math> &gt; <math display="inline"><semantics> <msub> <mi>T</mi> <mn>2</mn> </msub> </semantics></math> &gt; <math display="inline"><semantics> <msub> <mi>T</mi> <mn>3</mn> </msub> </semantics></math> &gt; <math display="inline"><semantics> <msub> <mi>T</mi> <mn>4</mn> </msub> </semantics></math>).</p>
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<p>Description of the conduct-meter prototype with the dimension of each component.</p>
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<p>(<b>A</b>): hot source of the device made with a steel wool filament and current generator; (<b>B</b>): data acquisition and electric current connection for respectively the thermocouple and the hot source (i.e., “hot spring”).</p>
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<p>Visualization and dimensions of calorimeter thermal insulation.</p>
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<p>Temperature observed from the infrared camera of the conduct-meter prototype outside (i.e., two pictures: (<b>1</b>,<b>2</b>)) and inside (i.e., two pictures: (<b>3</b>,<b>4</b>)) taken over seven hours. The two top images (i.e., (<b>1</b>,<b>3</b>)) indicate the initial times, and the two bottom images (i.e., (<b>2</b>,<b>4</b>)) indicate the final times.</p>
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<p>Acquisition chain (see <a href="#app2-metrology-04-00026" class="html-app">Appendix B</a> for more information about the datalogger CR3000) of the thermocouple Type T test calibration.</p>
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<p>Comparison of the average experimental thermal conductivity value <math display="inline"><semantics> <msub> <mi>λ</mi> <mrow> <mi>e</mi> <mi>x</mi> <mi>p</mi> </mrow> </msub> </semantics></math> of the polystyrene sample with the reference value (i.e., theoretical) <math display="inline"><semantics> <msub> <mi>λ</mi> <mrow> <mi>t</mi> <mi>h</mi> <mi>e</mi> <mi>o</mi> <mi>r</mi> <mi>e</mi> <mi>t</mi> <mi>i</mi> <mi>c</mi> <mi>a</mi> <mi>l</mi> </mrow> </msub> </semantics></math> (given by the manufacturer).</p>
Full article ">
14 pages, 3480 KiB  
Article
Comparative Analysis of Muscle Activity and Circulatory Dynamics: A Crossover Study Using Leg Exercise Apparatus and Ergometer
by Nobuhiro Hirasawa, Yukiyo Shimizu, Ayumu Haginoya, Yuichiro Soma, Gaku Watanabe, Kei Takehara, Kayo Tokeji, Yuki Mataki, Ryota Ishii and Yasushi Hada
Medicina 2024, 60(8), 1260; https://doi.org/10.3390/medicina60081260 - 3 Aug 2024
Cited by 1 | Viewed by 1038 | Correction
Abstract
Background and Objectives: Bedridden patients are at a high risk of venous thromboembolism (VTE). Passive devices such as elastic compression stockings and intermittent pneumatic compression are common. Leg exercise apparatus (LEX) is an active device designed to prevent VTE by effectively contracting [...] Read more.
Background and Objectives: Bedridden patients are at a high risk of venous thromboembolism (VTE). Passive devices such as elastic compression stockings and intermittent pneumatic compression are common. Leg exercise apparatus (LEX) is an active device designed to prevent VTE by effectively contracting the soleus muscle and is therefore expected to be effective in preventing disuse of the lower limbs. However, few studies have been conducted on the kinematic properties of LEX. Therefore, this study aimed to compare the exercise characteristics of LEX with those of an ergometer, which is commonly used as a lower-limb exercise device, and examine its effect on the two domains of muscle activity and circulatory dynamics. Materials and Methods: This study used a crossover design in which each participant performed both exercises to evaluate the exercise characteristics of each device. Fifteen healthy adults performed exercises with LEX and an ergometer (Terasu Erugo, SDG Co., Ltd., Tokyo, Japan) for 5 min each and rested for 10 min after each exercise. Muscle activity was measured using surface electromyography (Clinical DTS, Noraxon, Scottsdale, AZ, USA), and circulatory dynamics were recorded using a non-invasive impedance cardiac output meter (Physioflow Enduro, Manatec Biomedical, Paris, France). The primary outcome was the mean percentage of maximum voluntary contraction (%MVC) of the soleus muscle during exercise. Results: The mean %MVC of the soleus muscle was significantly higher in the LEX group, whereas no significant differences were observed across the periods and sequences. Heart rate, stroke volume, and cardiac output increased during exercise and decreased thereafter; however, the differences between the devices were not significant. Conclusions: LEX may not only have a higher thromboprophylaxis effect, but also a higher effect on preventing muscle atrophy as a lower-extremity exercise device. Additionally, LEX could potentially be used safely in patients who need to be monitored for changes in circulatory dynamics. Full article
(This article belongs to the Section Hematology and Immunology)
Show Figures

Figure 1

Figure 1
<p>LEX, which comprises right and left pedals, shoes, a metal base, hooks, and a motion control mechanism. LEX: leg exercise apparatus.</p>
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<p>Illustrations depicting each exercise. The <b>upper</b> photos show the exercise with LEX and the <b>lower</b> photos show the exercise with an ergometer.</p>
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<p>Schematic diagram of the exercises. “Exercise 1” indicates the first exercise performed, and “Exercise 2” indicates the second exercise performed. The arrows indicate the time point at which the circulatory dynamics were assessed, and the asterisks (*) indicate the time point at which the modified Borg scale score was obtained.</p>
Full article ">Figure 4
<p>The average changes in heart rate (<b>a</b>), stroke volume (<b>b</b>) and cardiac output (<b>c</b>) during and after exercises with LEX and the ergometer. The vertical axis represents the percentage of the value at rest and the horizontal axis the number of minutes elapsed since the start of the exercise session. Exercise was performed for 5 min after the start of the session and rest was performed thereafter. LEX: leg exercise apparatus.</p>
Full article ">Figure 4 Cont.
<p>The average changes in heart rate (<b>a</b>), stroke volume (<b>b</b>) and cardiac output (<b>c</b>) during and after exercises with LEX and the ergometer. The vertical axis represents the percentage of the value at rest and the horizontal axis the number of minutes elapsed since the start of the exercise session. Exercise was performed for 5 min after the start of the session and rest was performed thereafter. LEX: leg exercise apparatus.</p>
Full article ">Figure 5
<p>Comparative modified Borg scale ratings for respiration following exercise with LEX (<b>a</b>) and ergometer (<b>b</b>). The vertical axis represents the modified Borg scale score for respiration in each participant, and the horizontal axis represents the number of minutes elapsed since the start of the exercise session. LEX: leg exercise apparatus.</p>
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<p>Comparative modified Borg scale ratings for leg fatigue following exercise with LEX (<b>a</b>) and the ergometer (<b>b</b>). The vertical axis represents the modified Borg scale score for leg fatigue in each participant, and the horizontal axis represents the number of minutes elapsed since the start of the exercise session. LEX: leg exercise apparatus.</p>
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18 pages, 3118 KiB  
Article
Temporal Dynamics of Plasma Catecholamines, Metabolic and Immune Markers, and the Corticosterone:DHEA Ratio in Farmed Crocodiles before and after an Acute Stressor
by Andre A. Swanepoel, Christoff Truter, Francois P. Viljoen, Jan G. Myburgh and Brian H. Harvey
Animals 2024, 14(15), 2236; https://doi.org/10.3390/ani14152236 - 31 Jul 2024
Viewed by 1184
Abstract
Commercial crocodilian farms face significant economic and livestock losses attributed to stress, which may be linked to their adopted husbandry practices. The development of appropriate and modernized husbandry guidelines, particularly those focused on stress mitigation, is impeded by the limited understanding of the [...] Read more.
Commercial crocodilian farms face significant economic and livestock losses attributed to stress, which may be linked to their adopted husbandry practices. The development of appropriate and modernized husbandry guidelines, particularly those focused on stress mitigation, is impeded by the limited understanding of the crocodilian stress response. Fifteen grower Nile crocodiles were subjected to simulated acute transport stress, with blood samples collected at various intervals post-stress. Plasma levels of corticosterone (CORT), dehydroepiandrosterone (DHEA), adrenaline, and noradrenaline were determined using high-performance liquid chromatography. Glucose and lactate were measured using portable meters and the heterophil-to-lymphocyte ratio (HLR) was determined via differential leucocyte counts. Significant differences were elicited after the stressor, with acute fluctuations observed in the fast-acting catecholamines (adrenaline and noradrenaline) when compared to the baseline. Downstream effects of these catecholamines and CORT appear to be associated with a persistent increase in plasma glucose and HLR. Lactate also showed acute fluctuations over time but returned to the baseline by the final measurement. DHEA, which is used in a ratio with CORT, showed fluctuations over time with an inverted release pattern to the catecholamines. The study highlights the temporal dynamics of physiological markers under acute stress, contributing to our understanding of crocodilian stress and potentially informing improved farming practices for conservation and sustainable management. Full article
(This article belongs to the Section Animal Physiology)
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Figure 1

Figure 1
<p>Illustration of the crocodylian HPI and SAM axes. The pathway on the left illustrates the fast-acting response of the SAM axes to a perceived stressor, wherein noradrenaline and adrenaline are released from the steroidogenic tissues in the adrenal gland. The pathway illustrated on the right illustrates the HPI axis, with CRH and ACTH regulating the release of corticosterone from the chromaffin cells in the adrenal glands. Negative feedback mechanisms of both axes are shown with the dotted lines. ACTH: Adrenocorticotropic hormone; CRH: Corticotropin-releasing hormone; HPI: Hypothalamic–pituitary–interrenal; SAM: Sympathetic adrenomedullary.</p>
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<p>Graphical representation of the change in noradrenaline and adrenaline levels post-stress, over the time periods, as indicated, showing plasma concentrations (ng/mL) of noradrenaline (blue dots; * <span class="html-italic">p</span> &lt; 0.05) and adrenaline (red squares; # <span class="html-italic">p</span> &lt; 0.05 over time). Baseline blood withdrawal (BL; Day 1). Day 32 blood withdrawals with 7-h transport simulation stress: blood withdrawal immediately post-capture (T0H); blood withdrawal two hours post-capture (T2H); and blood withdrawal seven hours post-capture (T7H). Error bars indicate the standard error of the mean (SEM). Sample size (n) = 15.</p>
Full article ">Figure 3
<p>Graphical representation of the change in CORT and DHEA levels post-stress, over the time periods as indicated, showing plasma concentrations (ng/mL) of CORT (blue dots; * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.001) and DHEA (red squares; # <span class="html-italic">p</span> &lt; 0.05; ## <span class="html-italic">p</span> &lt; 0.001) over time. Baseline blood withdrawal (BL; Day 1). Day 32 blood withdrawals with 7-h transport simulation stress: blood withdrawal immediately post-capture (T0H); blood withdrawal two hours post-capture (T2H); and blood withdrawal seven hours post-capture (T7H). Error bars indicate the calculated SEM. n = 15.</p>
Full article ">Figure 4
<p>Graphical representation of the change in the CORT:DHEA ratio post stress over the time periods, as indicated. Base-line blood withdrawal (BL; Day 1). Day 32 blood withdrawals with 7-h transport simulation stress: blood withdrawal immediately post-capture (T0H); blood withdrawal two hours post-capture (T2H); and blood withdrawal seven hours post-capture (T7H). Error bars indicate the calculated SEM. n = 15.</p>
Full article ">Figure 5
<p>Graphical representation of the change in glucose and lactate levels post stress over the time periods, as indicated, showing plasma concentrations (mmol/L) of glucose (blue dots; * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.001; *** <span class="html-italic">p</span> &lt; 0.0001) and lactate (red squares; # <span class="html-italic">p</span> &lt; 0.05; ## <span class="html-italic">p</span> &lt; 0.001) over time. Baseline blood withdrawal (BL; Day 1). Day 32 blood withdrawals with 7-h transport simulation stress: blood withdrawal immediately post-capture (T0H); blood withdrawal two hours post-capture (T2H); and blood withdrawal seven hours post-capture (T7H). Error bars indicate the calculated SEM. n = 15.</p>
Full article ">Figure 6
<p>Graphical representation of the change in HLR levels (blue dots; * <span class="html-italic">p</span> &lt; 0.05) post stress over the time periods, as indicated. Baseline blood withdrawal (BL; Day 1). Day 32 blood withdrawals with 7-h transport simulation stress: blood withdrawal immediately post-capture (T0H); blood withdrawal two hours post-capture (T2H); and blood withdrawal seven hours post-capture (T7H). Error bars indicate the calculated SEM. n = 15.</p>
Full article ">
23 pages, 4576 KiB  
Article
Estimation of Railway Line Impedance at Low Frequency Using Onboard Measurements Only
by Andrea Mariscotti
Energies 2024, 17(15), 3739; https://doi.org/10.3390/en17153739 - 29 Jul 2024
Viewed by 971
Abstract
Estimating line impedance is relevant in transmission and distribution networks, in particular for planning and control. The large number of deployed PMUs has fostered the use of passive indirect methods based on network model identification. Electrified railways are a particular example of a [...] Read more.
Estimating line impedance is relevant in transmission and distribution networks, in particular for planning and control. The large number of deployed PMUs has fostered the use of passive indirect methods based on network model identification. Electrified railways are a particular example of a distribution network, with moving highly dynamic loads, that would benefit from line impedance information for energy efficiency and optimization purposes, but for which many of the methods used in industrial applications cannot be directly applied. The estimate is carried out onboard using a passive method in a single-point perspective, suitable for implementation with energy metering onboard equipment. A comparison of two methods is carried out based on the non-linear least mean squares (LMS) optimization of an over-determined system of equations and on the auto- and cross-spectra of the pantograph voltage and current. The methods are checked preliminarily with a simulated synthetic network, showing good accuracy, within 5%. They are then applied to measured data over a 20 min run over the Swiss 16.7 Hz railway network. Both methods are suitable to track network impedance in real time during the train journey; but with suitable checks on the significance of the pantograph current and on the values of the coefficient of determination, the LMS method seems more reliable with predictable behavior. Full article
(This article belongs to the Section F: Electrical Engineering)
Show Figures

Figure 1

Figure 1
<p>Simplified schematic of (<b>a</b>) a <math display="inline"><semantics> <mrow> <mn>16.7</mn> </mrow> </semantics></math> Hz railway traction supply (from [<a href="#B8-energies-17-03739" class="html-bibr">8</a>]) and (<b>b</b>) hot and cold paths (from [<a href="#B9-energies-17-03739" class="html-bibr">9</a>], with slight modifications).</p>
Full article ">Figure 2
<p>Equivalent circuit for the supply network (black, <b>left</b> of P) and rolling stock (light blue, <b>right</b> of P). The pantograph P is the tapping point at which the impedance estimate is carried out.</p>
Full article ">Figure 3
<p>Simulated circuit including a generator and a feeding line connected to a single-phase rectifier with random power absorption level: (<b>a</b>) network schematic and (<b>b</b>) voltage (blue) and current (orange) waveforms.</p>
Full article ">Figure 4
<p>Network impedance measured with the impedance tool of Matlab Simulink: (<b>a</b>) amplitude and (<b>b</b>) phase at the fundamental frequency of <math display="inline"><semantics> <mrow> <mn>16.7</mn> </mrow> </semantics></math> Hz.</p>
Full article ">Figure 5
<p>Comparison of the estimated network impedance at <math display="inline"><semantics> <mrow> <mn>16.7</mn> </mrow> </semantics></math> Hz for the LMS (blue) and ACS (red) algorithms, together with the reference impedance value as in <a href="#energies-17-03739-f004" class="html-fig">Figure 4</a> (amplitude and phase).</p>
Full article ">Figure 6
<p>Measurement system showing (<b>a</b>) the data acquisition system together with filters (top right), and the Rogowski coils used during the tests positioned (<b>b</b>) on the locomotive roof and (<b>c</b>) on the onboard transformer’s primary terminal. (Reprinted with permission from <span class="html-italic">IEEE Transactions on Instrumentation and Measurement</span> [<a href="#B59-energies-17-03739" class="html-bibr">59</a>]).</p>
Full article ">Figure 7
<p>Overview of the pantograph spectra for (<b>a</b>) voltage <math display="inline"><semantics> <msub> <mi>V</mi> <mi>p</mi> </msub> </semantics></math> and (<b>b</b>) current <math display="inline"><semantics> <msub> <mi>I</mi> <mi>p</mi> </msub> </semantics></math> over a short run of 250 s (quantities at the fundamental are removed to increase the dynamic range of the vertical axis to improve the representation of the harmonic components).</p>
Full article ">Figure 7 Cont.
<p>Overview of the pantograph spectra for (<b>a</b>) voltage <math display="inline"><semantics> <msub> <mi>V</mi> <mi>p</mi> </msub> </semantics></math> and (<b>b</b>) current <math display="inline"><semantics> <msub> <mi>I</mi> <mi>p</mi> </msub> </semantics></math> over a short run of 250 s (quantities at the fundamental are removed to increase the dynamic range of the vertical axis to improve the representation of the harmonic components).</p>
Full article ">Figure 8
<p>Extracted fundamental component of <math display="inline"><semantics> <msub> <mi>V</mi> <mi>p</mi> </msub> </semantics></math> and absolute value of <math display="inline"><semantics> <msub> <mi>I</mi> <mi>p</mi> </msub> </semantics></math>, <math display="inline"><semantics> <mrow> <mrow> <mo stretchy="false">|</mo> </mrow> <msub> <mi>I</mi> <mrow> <mi>p</mi> <mo>,</mo> <mn>1</mn> </mrow> </msub> <mrow> <mo stretchy="false">|</mo> </mrow> </mrow> </semantics></math>, vs. time.</p>
Full article ">Figure 9
<p>Input active power compared to the absolute value of the <math display="inline"><semantics> <msub> <mi>I</mi> <mi>p</mi> </msub> </semantics></math> fundamental <math display="inline"><semantics> <mrow> <mrow> <mo stretchy="false">|</mo> </mrow> <msub> <mi>I</mi> <mrow> <mi>p</mi> <mo>,</mo> <mn>1</mn> </mrow> </msub> <mrow> <mo stretchy="false">|</mo> </mrow> </mrow> </semantics></math> vs. time.</p>
Full article ">Figure 10
<p>(<math display="inline"><semantics> <msub> <mover accent="true"> <mi>Z</mi> <mo stretchy="false">^</mo> </mover> <mrow> <mi>n</mi> <mo>,</mo> <mn>1</mn> </mrow> </msub> </semantics></math> vs. time by LMS algorithm including all samples (<b>top</b>), compared with the intensity of the input current at the fundamental <math display="inline"><semantics> <mrow> <mrow> <mo stretchy="false">|</mo> </mrow> <msub> <mi>I</mi> <mrow> <mi>p</mi> <mo>,</mo> <mn>1</mn> </mrow> </msub> <mrow> <mo stretchy="false">|</mo> </mrow> </mrow> </semantics></math> (<b>bottom</b>).</p>
Full article ">Figure 11
<p>Values of <math display="inline"><semantics> <msub> <mover accent="true"> <mi>Z</mi> <mo stretchy="false">^</mo> </mover> <mrow> <mi>n</mi> <mo>,</mo> <mn>1</mn> </mrow> </msub> </semantics></math> vs. time showing a reduction in data dispersion and improvement in the estimate adopting two criteria on <math display="inline"><semantics> <msub> <mi>I</mi> <mrow> <mi>p</mi> <mo>,</mo> <mn>1</mn> </mrow> </msub> </semantics></math> amplitude and <math display="inline"><semantics> <msup> <mi>R</mi> <mn>2</mn> </msup> </semantics></math> amplitude: set1 with all data included (gray points), set2 with <math display="inline"><semantics> <mrow> <mi>I</mi> <mi>p</mi> <mo>&lt;</mo> <mn>20</mn> <mo> </mo> <mi mathvariant="normal">A</mi> </mrow> </semantics></math> (light blue points), and set3 with <math display="inline"><semantics> <mrow> <msup> <mi>R</mi> <mn>2</mn> </msup> <mo>≥</mo> <mn>0.8</mn> </mrow> </semantics></math> (orange points). The two last sets lead to two interpolating curves of order 5, shown in black (set2) and magenta (set3).</p>
Full article ">Figure 12
<p>Estimate of <math display="inline"><semantics> <msub> <mi>Z</mi> <mrow> <mi>n</mi> <mo>,</mo> <mn>1</mn> </mrow> </msub> </semantics></math> by the ACS algorithm for two different choices of the number of windows for the Welch spectra estimate: (<b>a</b>) <math display="inline"><semantics> <mrow> <msub> <mi>N</mi> <mi>W</mi> </msub> <mo>=</mo> <mn>5</mn> </mrow> </semantics></math>, (<b>b</b>) <math display="inline"><semantics> <mrow> <msub> <mi>N</mi> <mi>W</mi> </msub> <mo>=</mo> <mn>15</mn> </mrow> </semantics></math>. Intervals with coherence <math display="inline"><semantics> <mrow> <mover accent="true"> <mi>C</mi> <mo stretchy="false">^</mo> </mover> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>≥</mo> <mn>0.8</mn> </mrow> </semantics></math> are highlighted in red, and correspondingly, the estimate <math display="inline"><semantics> <mrow> <msub> <mover accent="true"> <mi>Z</mi> <mo stretchy="false">^</mo> </mover> <mrow> <mi>n</mi> <mo>,</mo> <mn>1</mn> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> </semantics></math> is plotted in black.</p>
Full article ">Figure 13
<p>Estimate of the instantaneous fundamental frequency of the <math display="inline"><semantics> <mrow> <mn>16.7</mn> </mrow> </semantics></math> Hz system using FFT followed by parabolic interpolation around the fundamental component.</p>
Full article ">
10 pages, 6107 KiB  
Article
Formation and Property of Al2O3-TiO2 Composite Anodic Oxide Film on DC-Etched Al Foil for Al Electrolytic Capacitors
by Chaolei Ban, Yutong Yang, Shengnan Yu and Qingxu Wu
Coatings 2024, 14(8), 947; https://doi.org/10.3390/coatings14080947 - 28 Jul 2024
Viewed by 985
Abstract
This research article aims to improve the specific capacitance of DC-etched Al foil for Al electrolytic capacitors by forming an Al2O3-TiO2 composite anodic oxide film. DC-etched Al foils for aluminum electrolytic capacitors were immersed in a TiO2 [...] Read more.
This research article aims to improve the specific capacitance of DC-etched Al foil for Al electrolytic capacitors by forming an Al2O3-TiO2 composite anodic oxide film. DC-etched Al foils for aluminum electrolytic capacitors were immersed in a TiO2 precursor sol, followed by calcination and anodizing to manufacture a TiO2-Al2O3 composite anodic oxide film. TiO2 precursor sol–gel particles after calcination were analyzed by XRD. During anodization, the anode potential with time was measured by a digital meter. A scanning electron microscope, electrochemical impedance measurements, and a general digital LCR meter were adopted to explore the microstructure and property of the anodic oxide films. The specific capacitance for the TiO2-Al2O3 composite anodic oxide film and a pure Al anodic one is 3.013 μF/cm2 and 2.435 μF/cm2 at C60V, respectively. The thickness is 87.26 nm for the former and 177.65 nm for the latter. The results show that the TiO2-Al2O3 composite anodic oxide film is about 51% thinner than the single Al anodic film, accounting for a large improvement in specific capacitance. The formation efficiency of the pretreated sample is much higher than that of the blank sample, owing to the pre-deposited TiO2 layer and thermal Al oxide layer. However, the composite anodic oxide film’s specific resistance was reduced and its dielectric loss was also aggravated, resulting from the doping-introduced structural defects. Full article
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<p>XRD style of TiO<sub>2</sub> precursor gel heated at 500 °C for 5 min.</p>
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<p>Changes in anode potential with anodizing time for TiO<sub>2</sub>-coated sample and blank one.</p>
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<p>Surface microstructure of anodized specimens (<b>a</b>,<b>b</b>) with single Al<sub>2</sub>O<sub>3</sub> anodic oxide film and (<b>c</b>,<b>d</b>) with Al<sub>2</sub>O<sub>3</sub>-TiO<sub>2</sub> composite anodic oxide film.</p>
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<p>Area EDS of anodized specimens with single Al<sub>2</sub>O<sub>3</sub> aluminum anodic oxide film (<b>a</b>) and with Al<sub>2</sub>O<sub>3</sub>-TiO<sub>2</sub> composite anodic oxide film (<b>b</b>).</p>
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<p>Schematic illustration of the formation of the Al<sub>2</sub>O<sub>3</sub>-TiO<sub>2</sub> composite anodic oxide film.</p>
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<p>C<sub>60V</sub> and tan δ values of C<sub>60V</sub> and tan δ values of blank samples and ones with Al<sub>2</sub>O<sub>3</sub>-TiO<sub>2</sub> composite oxide film.</p>
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<p>EIS of anodized samples with single aluminum oxide film and Ti-Al<sub>2</sub>O<sub>3</sub> composite oxide film, respectively. (<b>a</b>) Nyquist plot; (<b>b</b>) Bode plot.</p>
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18 pages, 22999 KiB  
Article
0.98(K0.5Na0.5)NbO3–0.02(Bi0.5Na0.5)(Zr0.85Sn0.15)O3 Single Crystals Grown by the Seed-Free Solid-State Crystal Growth Method and Their Characterization
by Eugenie Uwiragiye, Thuy Linh Pham, Jong-Sook Lee, Byoung-Wan Lee, Jae-Hyeon Ko and John G. Fisher
Ceramics 2024, 7(3), 840-857; https://doi.org/10.3390/ceramics7030055 - 21 Jun 2024
Cited by 2 | Viewed by 1321
Abstract
(K0.5Na0.5)NbO3-based single crystals are of interest as high-performance lead-free piezoelectric materials, but conventional crystal growth methods have some disadvantages such as the requirement for expensive Pt crucibles and difficulty in controlling the composition of the crystals. Recently, [...] Read more.
(K0.5Na0.5)NbO3-based single crystals are of interest as high-performance lead-free piezoelectric materials, but conventional crystal growth methods have some disadvantages such as the requirement for expensive Pt crucibles and difficulty in controlling the composition of the crystals. Recently, (K0.5Na0.5)NbO3-based single crystals have been grown by the seed-free solid-state crystal growth method, which can avoid these problems. In the present work, 0.98(K0.5Na0.5)NbO3–0.02(Bi0.5Na0.5)(Zr0.85Sn0.15)O3 single crystals were grown by the seed-free solid-state crystal growth method. Sintering aids of 0.15 mol% Li2CO3 and 0.15 mol% Bi2O3 were added to promote single crystal growth. Pellets were sintered at 1150 °C for 15–50 h. Single crystals started to appear from 20 h. The single crystals grown for 50 h were studied in detail. Single crystal microstructure was studied by scanning electron microscopy of the as-grown surface and cross-section of the sample and revealed porosity in the crystals. Electron probe microanalysis indicated a slight reduction in K and Na content of a single crystal as compared to the nominal composition. X-ray diffraction shows that the single crystals contain mixed orthorhombic and tetragonal phases at room temperature. Raman scattering and impedance spectroscopy at different temperatures observed rhombohedral–orthorhombic, orthorhombic–tetragonal and tetragonal–cubic phase transitions. Polarization–electric field (P–E) hysteresis loops show that the single crystal is a normal ferroelectric material with a remanent polarization (Pr) of 18.5 μC/cm2 and a coercive electrical field (Ec) of 10.7 kV/cm. A single crystal presents d33 = 362 pC/N as measured by a d33 meter. Such a single crystal with a large d33 and high Curie temperature (~370 °C) can be a promising candidate for piezoelectric devices. Full article
(This article belongs to the Special Issue Advances in Ceramics, 2nd Edition)
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<p>XRD patterns of (<b>a</b>) 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> powder calcined at 1000 °C for 5 h (pattern taken before sintering aid addition); (<b>b</b>) 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> bulk single crystal grown at 1150 °C for 50 h.</p>
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<p>Photographs of 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> specimens after sintering at 1150 °C for 20–50 h, and a single crystal after removal from the matrix of a sample sintered at 1150 °C for 50 h.</p>
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<p>SEM micrographs of (<b>a</b>,<b>b</b>) polished and etched cross-section of a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 20 h; (<b>c</b>) as-grown surface of a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 50 h; (<b>d</b>) polished and etched cross-section of a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 50 h.</p>
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<p>Raman spectrum of a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 50 h.</p>
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<p>(<b>a</b>) Contour plot of normalized intensity of Raman spectra of a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 50 h. Spectra are taken at temperatures between −196 °C and 600 °C; (<b>b</b>) individual spectra.</p>
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<p>Raman mode position versus temperature for a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 50 h. Spectra are taken at temperatures between −196 °C and 600 °C.</p>
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<p>Relative permittivity, inverse relative permittivity, loss tangent and conductivity of a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 50 h, displayed as functions of temperature between room temperature and 600 °C (<b>a</b>–<b>d</b>) on heating and (<b>e</b>–<b>h</b>) on cooling.</p>
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<p>Low-temperature relative permittivity, inverse relative permittivity, loss tangent and conductivity of a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 50 h, displayed as functions of temperature between −223 °C and 200 °C (<b>a</b>–<b>d</b>) on heating and (<b>e</b>–<b>h</b>) on cooling.</p>
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<p>Relative permittivity, loss tangent and conductivity of a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 50 h, displayed as functions of temperature between −190 °C and 590 °C (<b>a</b>–<b>d</b>) on heating and (<b>e</b>–<b>h</b>) on cooling.</p>
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<p>Polarization vs. electric field hysteresis loops of a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 50 h.</p>
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13 pages, 1959 KiB  
Article
Dual-Frequency Soil Moisture Meter Method for Simultaneous Estimation of Soil Moisture and Conductivity
by Jerzy S. Witkowski and Andrzej F. Grobelny
Sensors 2024, 24(10), 2969; https://doi.org/10.3390/s24102969 - 7 May 2024
Viewed by 3181
Abstract
The measurement of soil water content is a very important factor in plant cultivation, both from an economic and ecological point of view. Proper estimation of moisture content not only allows for proper yields but can also contribute to ecologically appropriate use of [...] Read more.
The measurement of soil water content is a very important factor in plant cultivation, both from an economic and ecological point of view. Proper estimation of moisture content not only allows for proper yields but can also contribute to ecologically appropriate use of fresh water, of which the world’s resources are limited. It is important, for example, that the moisture content in the root area of plants is optimal for their growth, while over-watering can result in losses in the form of water, which seeps below the root layer and is lost. The novel, inexpensive electronic meter for measuring soil moisture is presented in the article. The meter, based on a capacitive method, uses an optimization algorithm to calculate soil electrical permeability and a simplified new formula between soil electrical permeability and volumetric moisture content. Moreover, by using two high-frequency signals for measurements, it is possible not only to estimate moisture content but also soil conductivity. Both readings obtained from the meter not only allow for rational management of crop optimization for economic reasons but are also important for environmental protection. In addition, the inexpensive meter, based on the principle of operation presented, can be made as an IoT module, which allows for its wide application. Full article
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<p>Soil textural triangle. Source: United State Department of Agriculture.</p>
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<p>Illustrative retention curves for basic soil types (adapted from [<a href="#B4-sensors-24-02969" class="html-bibr">4</a>]).</p>
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<p>Typical curves of water capacity (FC) and permanent wilting point (PWP) vs. soil type (adapted from [<a href="#B6-sensors-24-02969" class="html-bibr">6</a>]).</p>
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<p>Basic illustration of capacitive measurement principle.</p>
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<p>Measuring electrodes (<b>a</b>) and their equivalent circuit (<b>b</b>). (Rs—resistance in series to the probe; Cs—the capacity of the electrodes to the medium; Cp—the self-capacity part of the capacitor due to its construction; Cx—capacity being measured; Rx—the loss of the dielectric being measured).</p>
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<p>Basic illustration of capacitive measurement principle. The types of major integrated circuits used in the sensor prototype are given.</p>
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<p>Calibration curves and their measurement points for 17 MHz (solid line and □) and for 166 MHz (solid line and O); measurement result point (<span class="html-italic">ε<sub>w</sub></span> = 32, <span class="html-italic">σ</span> = 0.49 dS/m) against transmittance curves (dashed lines and “rhombus”) for <span class="html-italic">f</span><sub>1</sub> = 17 MHz (top line) and <span class="html-italic">f</span><sub>2</sub> = 166 MHz (bottom line).</p>
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<p>Prototype of the sensor and its housing.</p>
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<p>Volumetric moisture as a function of dielectric permittivity. Dashed lines are obtained from Formula (15) for <span class="html-italic">(A</span>; <span class="html-italic">ε<sub>w</sub></span>) = (0.075; 2) and (0.05; 3), respectively. Continuous lines are plotted based on the experimental data from [<a href="#B16-sensors-24-02969" class="html-bibr">16</a>,<a href="#B24-sensors-24-02969" class="html-bibr">24</a>].</p>
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<p>Overall uncertainty of irrigation control.</p>
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14 pages, 2790 KiB  
Article
A Highly Homogeneous Airborne Fungal Community around a Copper Open Pit Mine Reveals the Poor Contribution Made by the Local Aerosolization of Particles
by Sebastián Fuentes-Alburquenque, Victoria Olivencia Suez, Omayra Aguilera, Blanca Águila, Luis Rojas Araya and Dinka Mandakovic
Microorganisms 2024, 12(5), 934; https://doi.org/10.3390/microorganisms12050934 - 4 May 2024
Viewed by 948
Abstract
Fungi are ubiquitous and metabolically versatile. Their dispersion has important scientific, environmental, health, and economic implications. They can be dispersed through the air by the aerosolization of near surfaces or transported from distant sources. Here, we tested the contribution of local (scale of [...] Read more.
Fungi are ubiquitous and metabolically versatile. Their dispersion has important scientific, environmental, health, and economic implications. They can be dispersed through the air by the aerosolization of near surfaces or transported from distant sources. Here, we tested the contribution of local (scale of meters) versus regional (kilometers) sources by analyzing an airborne fungal community by ITS sequencing around a copper mine in the North of Chile. The mine was the regional source, whereas the soil and vegetal detritus were the local sources at each point. The airborne community was highly homogeneous at ca. 2000 km2, impeding the detection of regional or local contributions. Ascomycota was the dominant phylum in the three communities. Soil and vegetal detritus communities had lower alpha diversity, but some taxa had abundance patterns related to the distance from the mine and altitude. On the contrary, the air was compositionally even and unrelated to environmental or spatial factors, except for altitude. The presence of plant pathogens in the air suggests that other distant sources contribute to this region’s airborne fungal community and reinforces the complexity of tracking the sources of air microbial communities in a real world where several natural and human activities coexist. Full article
(This article belongs to the Special Issue Airborne Microbial Communities)
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<p>Sampling area at the Coquimbo Region, North Chile (<b>a</b>). The town of Andacollo and its mine (30.2614 °S 71.0816 °O) are located at the central point depicted in blue (<b>b</b>). Starting from this central point, several points were sampled to encompass an approximately 25 km radius. The upper panel shows the sampling strategy used in this study (<b>c</b>). Three sample types were collected at each point: air (red), topsoil (brown), and vegetal detritus (green). Environmental variables and geographical coordinates were recorded at each point.</p>
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<p>Alpha diversity of the three communities: air (red), soil (brown), and vegetal detritus (green). (<b>a</b>) Richness was calculated as the number of ASVs in each community; the median is depicted in the center of each box, and the outliers are shown as gray circles. Asterisks show significant differences (<span class="html-italic">p</span> &lt; 0.001) through the Kruskal–Wallis pairwise test. (<b>b</b>) Rank-abundant distribution of ASVs in each community.</p>
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<p>Beta diversity (Jaccard distance) analysis of the three communities: air (red), soil (brown), and vegetal detritus (green). (<b>a</b>) Principal coordinates plots, where the three communities are significantly grouped in different clusters. (<b>b</b>) Similarity decay plot shows that airborne communities had no relationship with respect to geographical distance. (<b>c</b>–<b>e</b>) Procrustes analysis of the air–soil, air–vegetal, and soil–vegetal communities.</p>
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<p>Taxonomic composition (genus level) of the air, soil, and vegetal detritus communities. Samples were grouped by altitude (upper panel) and distance to the mine (lower panel). The legend shows only the 12 most abundant taxa.</p>
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19 pages, 9418 KiB  
Article
Impact Analysis of High-Altitude Electromagnetic Pulse Coupling Effects on Power Grid Protection Relays
by Naga Lakshmi Thotakura, Yuru Wu, David Mignardot, Liang Zhang, Wei Qiu, Lawrence C. Markel, Dahan Liao, Benjamin W. McConnell and Yilu Liu
Electronics 2024, 13(7), 1336; https://doi.org/10.3390/electronics13071336 - 2 Apr 2024
Viewed by 1446
Abstract
Protection relays are important equipment used for protection, control, and metering functions in the power grid. These relays are used to protect critical and difficult-to-replace equipment, like generators, transformers, and capacitor banks. Once the protection devices are disturbed or damaged, a high risk [...] Read more.
Protection relays are important equipment used for protection, control, and metering functions in the power grid. These relays are used to protect critical and difficult-to-replace equipment, like generators, transformers, and capacitor banks. Once the protection devices are disturbed or damaged, a high risk of power generation interruption occurs. Therefore, it is important and necessary to study the relay’s immunity to electromagnetic pulse (EMP) events. As a preliminary step toward empirical experimentation on actual equipment, this manuscript outlines an economical and efficient methodology for evaluating the impact of an EMP. An impedance measurement strategy was employed to model the equipment, setting the stage for subsequent immunity analyses. These analyses included the pulse current injection (PCI) method, which utilized an injecting probe to introduce the transient, and frequency domain electromagnetic (FEKO) simulation, which integrated electromagnetic coupling effects into the transient simulation. The impedance measurement and simulation results in this paper provide a reliable basis for gauging equipment performance in the face of HEMP threats. The results obtained using the PCI and FEKO simulations demonstrated the performance of different port responses under a high-altitude EMP, indicating the requirement for some protection to ensure the reliable operation of relays. Full article
(This article belongs to the Section Circuit and Signal Processing)
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<p>EMP time domain representation [<a href="#B8-electronics-13-01336" class="html-bibr">8</a>].</p>
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<p>Framework of impedance measuring.</p>
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<p>Non-uniform wire propagation model for de-embedding based on the fixture.</p>
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<p>Examples of the impedances and phase angles across the frequency range. (<b>a</b>,<b>b</b>) depict measurement results after de-embedding, while (<b>c</b>,<b>d</b>) present integrated measurement results after data processing.</p>
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<p>Examples of the impedances and phase angles across the frequency range. (<b>a</b>,<b>b</b>) depict measurement results after de-embedding, while (<b>c</b>,<b>d</b>) present integrated measurement results after data processing.</p>
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<p>The circuit diagram of PCI test: (<b>a</b>) EC5 level and (<b>b</b>) EC8 level.</p>
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<p>The open-circuit voltage and short-circuit current of PCI generator: (<b>a</b>) EC5 level and (<b>b</b>) EC8 level.</p>
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<p>Transmission line model and plane wave excitation source.</p>
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<p>Impedance and phase angle measurements for ports under powered-off and powered-on conditions: (<b>a</b>) power port and (<b>b</b>) transformer port.</p>
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<p>Impedance and phase angle measurements for VT and CT: (<b>a</b>) VT phase A to ground, (<b>b</b>) VT phase B to phase C, and (<b>c</b>) CT phase A to ground.</p>
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<p>PCI method EC5 immunity test results.</p>
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<p>EC8 immunity test results.</p>
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<p>Relay voltage and current transients resulting from HEMP E1 event.</p>
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<p>Comparative analysis for ports under powered-off and powered-on conditions: (<b>a</b>) PCI EC5 test, (<b>b</b>) PCI EC8 test, and (<b>c</b>) FEKO simulation.</p>
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11 pages, 7299 KiB  
Proceeding Paper
Active Fault Detection Device for LV Electrical Installations with Goertzel-Based Impedance Estimation and IoT Connectivity
by Christos Pechlivanis, Nick Rigogiannis, Andreas Tichalas, Syllas Frantzeskakis, Christos Christodoulou and Nick Papanikolaou
Eng. Proc. 2024, 60(1), 22; https://doi.org/10.3390/engproc2024060022 - 16 Jan 2024
Cited by 1 | Viewed by 882
Abstract
An active (harmonic-injection based) fault detection device, relevant to low voltage electrical installations is studied in this paper. This compact and flexible device is compatible with TN/TT earthing systems, and it is capable of detecting power theft (i.e., via meter tampering), neutral conductor [...] Read more.
An active (harmonic-injection based) fault detection device, relevant to low voltage electrical installations is studied in this paper. This compact and flexible device is compatible with TN/TT earthing systems, and it is capable of detecting power theft (i.e., via meter tampering), neutral conductor loss at the upstream network and unintentional islanding. A 12th order zero-sequence voltage harmonic component is injected -via a low-power H-bridge inverter along with a current transformer (CT), in series with the grid voltage, whereas the corresponding harmonic current is measured, to estimate the impedance. The well-established, robust and fast Goertzel algorithm is selected as the impedance monitoring method, to effectively diagnose any fault. Finally, the device features Internet of Things connectivity capabilities, as it employs the ESP32 microcontroller, facilitating its communication and data exchange capabilities with the installation meter, as well as with various smart home devices. Full article
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<p>Block diagram presenting the integration of the active fault detection device.</p>
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<p>Schematic diagram of the active fault detection device.</p>
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<p>Fault detection threshold values for each undesirable condition.</p>
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<p>Flowchart of the active fault detection device control scheme.</p>
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<p>The developed active fault detection device.</p>
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<p>Experimental waveforms of the H-bridge inverter output current and line current, during a neutral loss event.</p>
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<p>The output of the Goertzel algorithm for the 50 Hz current component, displayed in the serial plotter of the Arduino IDE environment.</p>
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<p>Experimental waveforms for the device intermittent operation (deep sleep mode), during the neutral conductor loss fault.</p>
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<p>Line current component at 50 Hz (Table I) and estimated 600 Hz grid impedance (Table II) waveforms, as they are presented on the ThingSpeak web platform.</p>
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19 pages, 10163 KiB  
Article
Acoustic Characterization of Transmitted and Received Acoustic Properties of Air-Coupled Ultrasonic Transducers Based on Matching Layer of Organosilicon Hollow Glass Microsphere
by Xinhu Xu, Liang Zhang, Hulin Guo, Xiaojie Wang and Lingcai Kong
Micromachines 2023, 14(11), 2021; https://doi.org/10.3390/mi14112021 - 30 Oct 2023
Cited by 4 | Viewed by 1623
Abstract
An air-coupled transducer was developed in this study, utilizing hollow glass microsphere-organosilicon composites as an acoustically matching layer, which demonstrated outstanding acoustic performance. Firstly, a comparison and analysis of the properties and advantages of different substrates was carried out to determine the potential [...] Read more.
An air-coupled transducer was developed in this study, utilizing hollow glass microsphere-organosilicon composites as an acoustically matching layer, which demonstrated outstanding acoustic performance. Firstly, a comparison and analysis of the properties and advantages of different substrates was carried out to determine the potential application value of organosilicon substrates. Immediately after, the effect of hollow glass microspheres with different particle sizes and mass fractions on the acoustic properties of the matching layer was analyzed. It also evaluated the mechanical properties of the matching layer before and after optimization. The findings indicate that the optimized composite material attained a characteristic acoustic impedance of 1.04 MRayl and an acoustic attenuation of 0.43 dB/mm, displaying exceptional acoustic performance. After encapsulating the ultrasonic transducer using a 3D-printed shell, we analyzed and compared its emission and reception characteristics to the commercial transducer and found that its emission acoustic pressure amplitude and reception voltage amplitude were 34% and 26% higher, respectively. Finally, the transducer was installed onto a homemade ultrasonic flow meter for practical application verification, resulting in an accuracy rate of 97.4%. Full article
(This article belongs to the Special Issue Acoustic Transducers and Their Applications)
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<p>Transmission of ultrasonic transducer.</p>
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<p>Ultrasonic transducer assembly.</p>
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<p>Device for measuring emission performance. (<b>a</b>) Experimental equipment table object; (<b>b</b>) Schematic diagram of the experimental equipment table.</p>
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<p>Device for measuring receiving performance. (<b>a</b>) Experimental equipment table object; (<b>b</b>) Schematic diagram of the experimental equipment table.</p>
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<p>Differential Time Ultrasonic Flow Meter Schematic.</p>
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<p>Ultrasonic transducer test system for practical applications.</p>
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<p>Curing effects of the three substrates.</p>
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<p>Matching layer samples of different mass fractions in kind.</p>
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<p>Matching layer acoustic test results: (<b>a</b>) Density of different samples; (<b>b</b>) Solid sound velocity of different samples; (<b>c</b>) Characteristic acoustic impedance of different samples; (<b>d</b>) Attenuation coefficients of different samples.</p>
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<p>SEM image of samples: (<b>a</b>) 100 μm scale and (<b>b</b>) 500 μm scale.</p>
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<p>Transducer object. (<b>a</b>) Exterior of the transducer; (<b>b</b>) Interior of the transducer before encapsulation; (<b>c</b>) Object after Encapsulation.</p>
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<p>Changes in mechanical behavior before and after optimization. (<b>a</b>) Homemade transducer impedance test; (<b>b</b>) Mechanical quality factor test of Homemade Transducers.</p>
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<p>Test results for different excitation voltages. (<b>a</b>) Emission sound pressure results; (<b>b</b>) Electric-acoustic conversion efficiency results.</p>
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<p>Test results for different excitation voltages. (<b>a</b>) Emission sound pressure results; (<b>b</b>) Electric-acoustic conversion efficiency results.</p>
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<p>Emission sound pressure for different cycles of burst.</p>
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<p>Emission sound pressure plots of K1-20 with different cycle count of burst: (<b>a</b>) cycle count of burst is 3; (<b>b</b>) cycle count of burst is 5; (<b>c</b>) cycle count of burst is 10; (<b>d</b>) cycle count of burst is 15.</p>
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<p>Maximum transmission distance results.</p>
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<p>Comparison test results of emission sound pressure.</p>
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<p>Receiving performance test results at different distances.</p>
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<p>Received waveforms at different distances for model K1-20: (<b>a</b>) 5 cm; (<b>b</b>) 10 cm; (<b>c</b>) 15 cm; (<b>d</b>) 20 cm.</p>
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<p>Waveforms of the receiver transducer of a homemade ultrasonic flowmeter.</p>
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<p>Gas Flow Measurement Results.</p>
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15 pages, 3865 KiB  
Article
Characterization of Leukocyte- and Platelet-Rich Plasma Derived from Female Collage Athletes: A Cross-Sectional Cohort Study Focusing on Growth Factor, Inflammatory Cytokines, and Anti-Inflammatory Cytokine Levels
by Tomoharu Mochizuki, Takashi Ushiki, Katsuya Suzuki, Misato Sato, Hajime Ishiguro, Tatsuya Suwabe, Mutsuaki Edama, Go Omori, Noriaki Yamamoto and Tomoyuki Kawase
Int. J. Mol. Sci. 2023, 24(17), 13592; https://doi.org/10.3390/ijms241713592 - 2 Sep 2023
Cited by 4 | Viewed by 1610
Abstract
Platelet-rich plasma (PRP) has been increasingly used in sports medicine owing to its various advantages. The purpose of our project was to standardize the parameters before performing large-scale clinical trials in the near future to precisely evaluate individual PRP quality. To examine the [...] Read more.
Platelet-rich plasma (PRP) has been increasingly used in sports medicine owing to its various advantages. The purpose of our project was to standardize the parameters before performing large-scale clinical trials in the near future to precisely evaluate individual PRP quality. To examine the effects of regular exercise on PRP quality, this study focused on young female athletes, who have been relatively less studied. Blood samples were obtained from female college athletes (n = 35) and ordinary healthy adults (n = 30), which were considered as controls, and leukocyte-rich PRP (L-PRP) was prepared manually. Body composition indices were determined using a bathroom weight scale equipped with an impedance meter. Growth factors and cytokines were quantified using ELISA kits. Platelet-derived growth factor-BB (PDGF-BB) and Transforming-growth factors β1 (TGFβ1) levels (per platelet) in L-PRP were significantly lower in female athletes than in controls. In contrast, Interleukin-1β and Interleukin 1 receptor antagonist (IL-1RA) levels (per platelet and L-PRP) in L-PRP were significantly higher in athletes, and this difference was more prominent in IL-1RA. These findings suggest that L-PRP from athletes may facilitate the inflammatory phase of the healing process by regulating the pro-inflammatory and anti-inflammatory balance. These chemical compositions can be adopted as “must-check” parameters to characterize individual PRP preparations prior to clinical trials. Full article
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<p>Age, weight, and body composition indices (BCIs), such as body mass index (BMI), body fat percentage (BFP), skeletal muscle percentage (SMP), bone mass weight (BMW), and basal metabolic rate (BMR) in the control (n = 30) and athlete groups (n = 35). Statistical analyses were performed using the Mann–Whitney U test (<b>a</b>,<b>d</b>,<b>f</b>) or Student’s <span class="html-italic">t</span>-test (<b>b</b>,<b>c</b>,<b>e</b>,<b>g</b>). Statistical differences in age (<b>a</b>), weight (<b>b</b>), BFP (<b>d</b>), SMP (<b>e</b>), BMW (<b>f</b>), and BMR (<b>g</b>) were observed as each <span class="html-italic">p</span> value is shown in each panel.</p>
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<p>Blood cell counts and hematocrit (HCT) levels in whole-blood (WB) samples from the control (n = 30) and athlete (n = 35) groups. Statistical analyses were performed using the Mann–Whitney U test (<b>a</b>) or Student’s <span class="html-italic">t</span>-test (<b>b</b>–<b>d</b>). Statistically significant differences were observed between the WBC (<b>a</b>) and HCT (<b>d</b>) as each <span class="html-italic">p</span> value is shown in each panel.</p>
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<p>Blood cell counts in leukocyte-rich PRP (L-PRP) preparations of the control (n = 30) and athlete (n = 35) groups. The concentrations of white blood cell (WBC), red blood cell (RBC), and platelet (PLT) are depicted in panels (<b>a</b>,<b>c</b>,<b>e</b>), respectively, while the total cell counts per L-PRP preparation are shown in panels (<b>b</b>,<b>d</b>,<b>f</b>). Statistical differences were observed in WBC (<b>a</b>,<b>b</b>) and RBC (<b>c</b>,<b>d</b>) counts as each <span class="html-italic">p</span> value is shown in each panel.</p>
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<p>Correlations between total white blood cell (WBC) and platelet (PLT) counts in leukocyte-rich PRP (L-PRP) preparations of the control (<b>a</b>) (n = 30) and athlete groups (<b>b</b>) (n = 35). The strength of the associations was analyzed using Pearson’s correlation coefficient. The strength of the correlation was defined as very strong (0.8–1.0), strong (0.6–0.79), moderate (0.4–0.59), weak (0.2–0.39), and very weak (0–0.19).</p>
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<p>Levels of PDGF-BB (<b>a</b>,<b>b</b>), PF4 (<b>c</b>,<b>d</b>), and TGFβ1 (<b>e</b>,<b>f</b>) in L-PRP preparations of the control (n = 30) and athlete groups (n = 35). Statistical analyses were performed using the Mann–Whitney U test (<b>a</b>,<b>b</b>,<b>f</b>), Welch’s <span class="html-italic">t</span>-test (<b>c</b>), or Student’s <span class="html-italic">t</span>-test (<b>d</b>,<b>e</b>). Each <span class="html-italic">p</span> value is shown in each panel.</p>
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<p>Levels of interleukin-1β (IL-1β) (<b>a</b>,<b>c</b>,<b>e</b>) and IL-1 receptor antagonist (IL-1RA) (<b>b</b>,<b>d</b>,<b>f</b>) in leukocyte-rich PRP (L-PRP) preparations of the control (n = 30) and athlete groups (n = 35). Each level was normalized by platelet (PLT) count (<b>a</b>,<b>b</b>), white blood cell (WBC) count (<b>c</b>,<b>d</b>), or L-PRP preparation (<b>e</b>,<b>f</b>). Statistical analyses were performed using the Mann–Whitney U test (<b>a</b>,<b>e</b>,<b>f</b>), Welch’s <span class="html-italic">t</span>-test (<b>b</b>,<b>d</b>), or Student’s <span class="html-italic">t</span>-test (<b>c</b>). Each <span class="html-italic">p</span> value is shown in each panel.</p>
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<p>Correlations between platelet (PLT) counts and interleukin-1β (IL-1β) (<b>a</b>,<b>b</b>) or IL-1 receptor antagonist (IL-1RA) (<b>b</b>,<b>d</b>) in leukocyte-rich PRP (L-PRP) preparations of the control (<b>a</b>,<b>c</b>) (n = 30) and athlete groups (<b>b</b>,<b>d</b>) (n = 35). The strength of the associations was analyzed by the Pearson correlation coefficient. The strength of the correlation was defined as very strong (0.8–1.0), strong (0.6–0.79), moderate (0.4–0.59), weak (0.2–0.39), and very weak (0–0.19).</p>
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<p>Correlations between white blood cell (WBC) counts and interleukin-1β (IL-1β) (<b>a</b>,<b>b</b>) or IL-1 receptor antagonist (IL-1RA) (<b>b</b>,<b>d</b>) in L-PRP preparations of the control (<b>a</b>,<b>c</b>) (n = 30) and athlete groups (<b>b</b>,<b>d</b>) (n = 35). The strength of the associations was analyzed by the Pearson correlation coefficient. The strength of the correlation was defined as very strong (0.8–1.0), strong (0.6–0.79), moderate (0.4–0.59), weak (0.2–0.39), and very weak (0–0.19).</p>
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<p>The workflow diagram of this study.</p>
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13 pages, 15698 KiB  
Article
Performance and Properties of a Ti-Al Composite Anodic Oxide Film on AC-Etched Al Foil
by Chaolei Ban, Xiangjun Luo, Jinchao Sun, Qingxu Wu and Yibin Yin
Coatings 2023, 13(9), 1526; https://doi.org/10.3390/coatings13091526 - 30 Aug 2023
Cited by 2 | Viewed by 1148
Abstract
AC-etched aluminum foils for an Al electrolytic capacitor were covered with a TiO2 film by a sol–gel coating and then anodized to 25 V in an ammonium adipate solution. The structure, properties, and performance of the anodic oxide films were examined by [...] Read more.
AC-etched aluminum foils for an Al electrolytic capacitor were covered with a TiO2 film by a sol–gel coating and then anodized to 25 V in an ammonium adipate solution. The structure, properties, and performance of the anodic oxide films were examined by transmission electron microscopy (TEM), scanning electron microscopy (SEM), electrochemical impedance measurements (EIS), a general digital LCR meter, a TV characteristic tester, and multicycle pulse charging–discharging. It was found that the anodizing of aluminum coated with TiO2 films led to the formation of Al-Ti composite anodic oxide films, which consist of an outer Al-Ti composite oxide layer and an inner Al2O3 layer on the metal substrate. The capacitance (C25V) of the anodic oxide films formed on specimens with a TiO2 coating was about 10% larger than without a TiO2 coating. The specific resistance (Rox) of the Al-Ti composite film measured by EIS was lower than the blank one, accounting for a greater increase in the rise time (Tr) and a slight reduction in the withstand voltage (Vt). After hydration and a multicycle pulse charging–discharging destructive test, the Al-Ti composite anodic oxide film maintained the same good, comprehensive dielectric properties and performance as the blank one, thereby proving to be promising for acting as dielectric layers. Full article
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<p>Surface SEM images of anodized samples (<b>a</b>–<b>c</b>) with pure aluminum oxide film, and (<b>d</b>–<b>f</b>) with Al-Ti composite oxide film.</p>
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<p>Surface EDS of anodized sample with Al-Ti composite oxide film at spot 64.</p>
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<p>Surface EDS of anodized sample with Al-Ti composite oxide film at spot 68.</p>
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<p>Cross-section of anodized samples (<b>a</b>) with pure aluminum oxide film and (<b>b</b>) with Al-Ti composite oxide film.</p>
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<p>Cross-section line EDS of anodized samples with Al-Ti composite oxide film.</p>
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<p>Cross-section line EDS of anodized samples with Al-Ti composite oxide film.</p>
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<p>Cross-section TEM images (<b>a</b>–<b>b</b>) and EDS (<b>c</b>–<b>g</b>) of anodized samples with Al-Ti composite oxide film.</p>
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<p>Schematic illustration of the formation of the Al−Ti composite anodic oxide film.</p>
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<p>(<b>a</b>) T<sub>r</sub>, (<b>b</b>) V<sub>t</sub>, and (<b>c</b>) C<sub>25V</sub> values for blank and Al-Ti composite oxide films.</p>
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<p>(<b>a</b>) T<sub>r-1h</sub>, (<b>b</b>) V<sub>t-1h</sub> and (<b>c</b>) C<sub>25V-1h</sub> values for blank and Al-Ti composite oxide films.</p>
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<p>(<b>a</b>) T<sub>r-24h</sub>, (<b>b</b>) V<sub>t-24h</sub>, and (<b>c</b>) C<sub>25V-24h</sub> values for blank and Al-Ti composite oxide films.</p>
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<p>EIS of anodized specimens with pure aluminum oxide film and Al-Ti composite oxide film, respectively. (<b>a</b>) Nyquist plot; (<b>b</b>) Bode plot.</p>
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24 pages, 3528 KiB  
Article
Towards Feasible Solutions for Load Monitoring in Quebec Residences
by Sayed Saeed Hosseini, Benoit Delcroix, Nilson Henao, Kodjo Agbossou and Sousso Kelouwani
Sensors 2023, 23(16), 7288; https://doi.org/10.3390/s23167288 - 21 Aug 2023
Cited by 2 | Viewed by 1356
Abstract
For many years, energy monitoring at the most disaggregate level has been mainly sought through the idea of Non-Intrusive Load Monitoring (NILM). Developing a practical application of this concept in the residential sector can be impeded by the technical characteristics of case studies. [...] Read more.
For many years, energy monitoring at the most disaggregate level has been mainly sought through the idea of Non-Intrusive Load Monitoring (NILM). Developing a practical application of this concept in the residential sector can be impeded by the technical characteristics of case studies. Accordingly, several databases, mainly from Europe and the US, have been publicly released to enable basic research to address NILM issues raised by their challenging features. Nevertheless, the resultant enhancements are limited to the properties of these datasets. Such a restriction has caused NILM studies to overlook residential scenarios related to geographically-specific regions and existent practices to face unexplored situations. This paper presents applied research on NILM in Quebec residences to reveal its barriers to feasible implementations. It commences with a concise discussion about a successful NILM idea to highlight its essential requirements. Afterward, it provides a comparative statistical analysis to represent the specificity of the case study by exploiting real data. Subsequently, this study proposes a combinatory approach to load identification that utilizes the promise of sub-meter smart technologies and integrates the intrusive aspect of load monitoring with the non-intrusive one to alleviate NILM difficulties in Quebec residences. A load disaggregation technique is suggested to manifest these complications based on supervised and unsupervised machine learning designs. The former is aimed at extracting overall heating demand from the aggregate one while the latter is designed for disaggregating the residual load. The results demonstrate that geographically-dependent cases create electricity consumption scenarios that can deteriorate the performance of existing NILM methods. From a realistic standpoint, this research elaborates on critical remarks to realize viable NILM systems, particularly in Quebec houses. Full article
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<p>A simple representation of intrusive and non-intrusive approaches to household load monitoring and their technical means [<a href="#B8-sensors-23-07288" class="html-bibr">8</a>].</p>
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<p>NILM procedure along with its common choice of learning methods practiced by the fundamental research [<a href="#B6-sensors-23-07288" class="html-bibr">6</a>].</p>
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<p>Operation modes of a common NILM system regarding its learning phase [<a href="#B6-sensors-23-07288" class="html-bibr">6</a>].</p>
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<p>An exemplification of the household power consumption profile in Quebec residences within two days in warm seasons at 1 min sampling intervals.</p>
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<p>An example of the household heating consumption profile in Quebec residences within two days in cold seasons at 1 min sampling intervals.</p>
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<p>The distribution of public and Quebec data in targeted houses along with the range of the domestic and TH loads from the former.</p>
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<p>The frequency histogram of public and Quebec data along with relevant domestic and TH shares of the latter.</p>
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<p>The diurnal behavior of energy consumption in public databases according to data availability and time interval similarity.</p>
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<p>The diurnal behavior of energy consumption in eight Quebec houses according to data available from the main reading.</p>
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<p>The seasonal decomposition of public and Quebec data for two fine examples based on the multiplicative model.</p>
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<p>Correlation between available instances in public and Quebec databases along with similar information for domestic and TH loads of the latter.</p>
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<p>Exemplification of seasonal behavior of power consumption profiles in a Quebec house at a 15 min sampling rate.</p>
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<p>An example of the proposed approach in a house with four thermal zones.</p>
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<p>The block diagram of the NILM practice proposed to tackle the Quebec case [<a href="#B47-sensors-23-07288" class="html-bibr">47</a>].</p>
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<p>The EWH power profile from Quebec House 1 in (<b>a</b>) 1 and (<b>b</b>) 15 min sampling time.</p>
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<p>The k-nearest neighbor analysis for one-day data from House 1 with MinPts equal to 4.</p>
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<p>The reachability plot for one-day data from House 1 based on the OPTICS algorithm.</p>
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