[go: up one dir, main page]

 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (586)

Search Parameters:
Keywords = draining systems

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
15 pages, 8060 KiB  
Article
Influence of Check Gate Construction on Operation of Check Gate in Ship Lock
by Jozef Kulka, Martin Mantič, Melichar Kopas, Michal Fabian, Robert Grega, Peter Kaššay and Marián Siman
Machines 2024, 12(9), 641; https://doi.org/10.3390/machines12090641 - 13 Sep 2024
Viewed by 190
Abstract
The subject of investigation presented in this article is a filling and draining system of the ship lock installed in the Gabčíkovo Waterworks. This article describes the operation and construction of the special regulation segments, i.e., the check gates that are situated in [...] Read more.
The subject of investigation presented in this article is a filling and draining system of the ship lock installed in the Gabčíkovo Waterworks. This article describes the operation and construction of the special regulation segments, i.e., the check gates that are situated in the ship locks. After the failure and replacement of the original check gate with the new, improved one, the strain gauge sensors were applied to the new check gate in order to determine stress distribution on the segment surface as well as the loading of the actuating arms. The application method and application places of the strain gauge sensors are described in detail. The performed measurements detected the occurrence of additional motional resistances during the opening and closing of the check gate. These resistances caused a partial non-functionality of the original check gate actuating mechanism. Full article
Show Figures

Figure 1

Figure 1
<p>The Gabčíkovo Waterworks.</p>
Full article ">Figure 2
<p>A system of corridors installed at the input and output of the ship lock.</p>
Full article ">Figure 3
<p>Bottom of ship lock: (<b>a</b>) Bottom of ship lock; (<b>b</b>) One corridor from the system of corridors situated under the grid on the bottom.</p>
Full article ">Figure 4
<p>New construction solution for the check gate in the drain shaft.</p>
Full article ">Figure 5
<p>The check gate segment: (<b>a</b>) Placement of the check gate segment; (<b>b</b>) Cross-section of the working chamber.</p>
Full article ">Figure 6
<p>Self-lubricating spherical sliding bearing.</p>
Full article ">Figure 7
<p>Placement positions of strain gauge sensors (the numbers in figure represent the individual strain gauge sensors, the colors mean directions of the measured stresses).</p>
Full article ">Figure 8
<p>Waterproof box.</p>
Full article ">Figure 9
<p>Fixing points for boxes (the blue arrow means position of eight fixing points).</p>
Full article ">Figure 10
<p>Strain gauge sensor: (<b>a</b>) With insulating film ABM 75; (<b>b</b>) Temperature compensation of sensor.</p>
Full article ">Figure 11
<p>Installed box with battery: (<b>a</b>) Without measuring electronics; (<b>b</b>) With connected measuring electronics.</p>
Full article ">Figure 12
<p>Signal sampling.</p>
Full article ">Figure 13
<p>Basic device functions during signal processing.</p>
Full article ">Figure 14
<p>Accumulating unit.</p>
Full article ">Figure 15
<p>The course of increments of the main stresses at measurement: (<b>a</b>) With sealing; (<b>b</b>) Without sealing in the measuring point No. 1.</p>
Full article ">Figure 16
<p>The course of increments of the main stresses at measurement: (<b>a</b>) With sealing; (<b>b</b>) Without sealing in the measuring point No. 5.</p>
Full article ">Figure 17
<p>The course of increments of the main stresses at measurement: (<b>a</b>) With sealing; (<b>b</b>) Without sealing in the measuring point No. 11.</p>
Full article ">Figure 17 Cont.
<p>The course of increments of the main stresses at measurement: (<b>a</b>) With sealing; (<b>b</b>) Without sealing in the measuring point No. 11.</p>
Full article ">Figure 18
<p>Maximum values for increments of the main stresses at measurement: (<b>a</b>) With sealing; (<b>b</b>) Without sealing in all 11 measuring locations.</p>
Full article ">Figure 19
<p>Orientation of deformations ɛ<sub>a</sub>, ɛ<sub>b</sub>, ɛ<sub>c</sub> with regard to angle directions 0°, 45°, 90°.</p>
Full article ">Figure 20
<p>Course of pressures in the hydraulic cylinder at individual measuring modes.</p>
Full article ">
11 pages, 3101 KiB  
Article
Influence of the Bias Voltage on Effective Electron Velocity in AlGaN/GaN High Electron Mobility Transistors
by Guangyuan Jiang, Peng Cui, Chen Fu, Yuanjie Lv, Ming Yang, Qianding Cheng, Yang Liu and Guangyuan Zhang
Micromachines 2024, 15(9), 1148; https://doi.org/10.3390/mi15091148 - 13 Sep 2024
Viewed by 352
Abstract
The small-signal S parameters of the fabricated double-finger gate AlGaN/GaN high electron mobility transistors (HEMTs) were measured at various direct current quiescent operating points (DCQOPs). Under active bias conditions, small-signal equivalent circuit (SSEC) parameters such as Rs and Rd, and [...] Read more.
The small-signal S parameters of the fabricated double-finger gate AlGaN/GaN high electron mobility transistors (HEMTs) were measured at various direct current quiescent operating points (DCQOPs). Under active bias conditions, small-signal equivalent circuit (SSEC) parameters such as Rs and Rd, and intrinsic parameters were extracted. Utilizing fT and the SSEC parameters, the effective electron velocity (νeeff) and intrinsic electron velocity (νeint) corresponding to each gate bias (VGS) were obtained. Under active bias conditions, the influence mechanism of VGS on νeeff was systematically studied, and an expression was established that correlates νeeff, νeint, and bias-dependent parasitic resistances. Through the analysis of the main scattering mechanisms in AlGaN/GaN HEMTs, it has been discovered that the impact of VGS on νeeff should be comprehensively analyzed from the aspects of νeint and parasitic resistances. On the one hand, changes in VGS influence the intensity of polar optical phonon (POP) scattering and polarization Coulomb field (PCF) scattering, which lead to changes in νeint dependent on VGS. The trend of νeint with changes in VGS plays a dominant role in determining the trend of νeeff with changes in VGS. On the other hand, both POP scattering and PCF scattering affect νeeff through their impact on parasitic resistance. Since there is a difference in the additional scattering potential corresponding to the additional polarization charges (APC) between the gate-source/drain regions and the region under the gate, the mutual effects of PCF scattering on the under-gate electron system and the gate-source/drain electron system should be considered when adjusting the PCF scattering intensity through device structure optimization to improve linearity. This study contributes to a new understanding of the electron transport mechanisms in AlGaN/GaN HEMTs and provides a novel theoretical basis for improving device performance. Full article
(This article belongs to the Section D1: Semiconductor Devices)
Show Figures

Figure 1

Figure 1
<p>Schematic diagram of the AlGaN/GaN HEMTs used in this study.</p>
Full article ">Figure 2
<p>The measured I-V characteristics of (<b>a</b>) Sample 1 and (<b>b</b>) Sample 2.</p>
Full article ">Figure 3
<p>Method for obtaining <span class="html-italic">f</span><sub>T</sub> of AlGaN/GaN HEMTs through H<sub>21</sub> (taking the <span class="html-italic">f</span><sub>T</sub> of Sample 1 at DCQOPs of V<sub>DS</sub> = 12 V, V<sub>GS</sub> = −3 V as an example; <span class="html-italic">f</span><sub>T</sub> = 48.6 GHz).</p>
Full article ">Figure 4
<p>(<b>a</b>) The <span class="html-italic">f</span><sub>T</sub> corresponding to each gate bias and (<b>b</b>) the <math display="inline"><semantics> <mrow> <msub> <mi>ν</mi> <mrow> <mi>e</mi> <mo>−</mo> <mi>exp</mi> </mrow> </msub> </mrow> </semantics></math> corresponding to each gate bias for Sample 1 and Sample 2.</p>
Full article ">Figure 5
<p>Topology diagram of SSEC for AlGaN/GaN HEMTs (parasitic parameters unrelated to bias are not depicted in this figure).</p>
Full article ">Figure 6
<p>The <math display="inline"><semantics> <mrow> <msub> <mi>ν</mi> <mrow> <mi>e</mi> <mo>−</mo> <mi>int</mi> </mrow> </msub> </mrow> </semantics></math> corresponding to each gate bias for Sample 1 and Sample 2.</p>
Full article ">Figure 7
<p>The <span class="html-italic">R<sub>s</sub></span> and <span class="html-italic">R<sub>d</sub></span> corresponding to each gate bias for (<b>a</b>) Sample 1 and (<b>b</b>) Sample 2.</p>
Full article ">Figure 8
<p>Comparison of <math display="inline"><semantics> <mrow> <msub> <mi>ν</mi> <mrow> <mi>e</mi> <mo>−</mo> <mi>e</mi> <mi>f</mi> <mi>f</mi> </mrow> </msub> </mrow> </semantics></math> obtained through Formula (3) with <math display="inline"><semantics> <mrow> <msub> <mi>ν</mi> <mrow> <mi>e</mi> <mo>−</mo> <mi>exp</mi> </mrow> </msub> </mrow> </semantics></math> from experiments and comparison of effective electron velocity with <math display="inline"><semantics> <mrow> <msub> <mi>ν</mi> <mrow> <mi>e</mi> <mo>−</mo> <mi>int</mi> </mrow> </msub> </mrow> </semantics></math> for (<b>a</b>) Sample 1 and (<b>b</b>) Sample 2.</p>
Full article ">Figure 9
<p>Schematic of the influence of the <span class="html-italic">APC</span> on the (<b>a</b>) under-gate electron system and (<b>b</b>) gate-source/drain electron system in the PCF scattering model.</p>
Full article ">
25 pages, 10977 KiB  
Article
Simulating the Effect of Removing Circulating Tumor Cells (CTCs) from Blood Reveals That Only Implantable Devices Can Significantly Reduce Metastatic Burden of Patients
by Werner Baumgartner, Nicola Aceto and Sebastian Lifka
Cancers 2024, 16(17), 3078; https://doi.org/10.3390/cancers16173078 - 4 Sep 2024
Viewed by 365
Abstract
Circulating tumor cells (CTCs) are cells that have separated from a solid cancerous lesion and entered the bloodstream. They play a crucial role in driving the metastatic spread to distant organs, which is the leading cause of cancer-related deaths. Various concepts for blood [...] Read more.
Circulating tumor cells (CTCs) are cells that have separated from a solid cancerous lesion and entered the bloodstream. They play a crucial role in driving the metastatic spread to distant organs, which is the leading cause of cancer-related deaths. Various concepts for blood purification devices aiming to remove CTCs from the blood and prevent metastases have been developed. Until now, it is not clear if such devices can indeed reduce new metastasis formation in a significant way. Here, we present a simple theoretical model of CTCs in the bloodstream that can be used to predict a reduction in metastatic burden using an extracorporeal or intracorporeal blood purification device. The model consists of a system of ordinary differential equations that was numerically solved and simulated. Various simulations with different parameter settings of extracorporeal and intracorporeal devices revealed that only devices implanted directly in tumor-draining vessels can reduce the metastatic burden significantly. Even if an extracorporeal device is used permanently, the reduction in metastases is only 82%, while a permanently operating implanted device in the tumor-draining vessel would achieve a reduction of 99.8%. These results are mainly due to the fact that only a small fraction of CTCs reaches peripheral circulation, resulting in a proportionally small amount of purified blood in extracorporeal devices. Full article
Show Figures

Figure 1

Figure 1
<p>Schematic illustration of (<b>A</b>) an extracorporeal blood-clearing device clearing peripheral blood and (<b>B</b>) an implanted blood-clearing device right after the CTC-releasing tumor. Additionally, the lymphatic system as a possible bypass for CTCs around the device is pictured.</p>
Full article ">Figure 2
<p>Simulation of a constant release of single and clustered CTCs over 5 days. (<b>A</b>–<b>C</b>) A device that clears peripheral blood daily for 3 h, indicated by the yellow areas, is simulated. (<b>D</b>–<b>F</b>) Control without clearing device using the same parameters. (<b>A</b>,<b>D</b>) Dynamic behavior of single and clustered CTCs in absolute numbers. (<b>B</b>,<b>E</b>) Metastatic burden in arbitrary units. (<b>C</b>,<b>F</b>) Release of single and clustered CTCs from the primary tumor.</p>
Full article ">Figure 3
<p>Simulation of an oscillating release of single and clustered CTCs over 5 days. (<b>A</b>–<b>C</b>) A device that clears peripheral blood daily for 3 h, right at the maximal release, indicated by the yellow areas, is simulated. (<b>D</b>–<b>F</b>) Control without clearing device using the same parameters. (<b>A</b>,<b>D</b>) Behavior of single and clustered CTCs in absolute number. (<b>B</b>,<b>E</b>) Metastatic burden in arbitrary units. (<b>C</b>,<b>F</b>) Release of single and clustered CTCs from the primary tumor.</p>
Full article ">Figure 4
<p>Effect of an implantable device clearing the venous blood at the tumor-draining vessel over 5 days. (<b>A</b>–<b>C</b>) A device that clears venous blood at the tumor-draining vessel is simulated. The device works 24 h a day (indicated by the yellow area). (<b>D</b>–<b>F</b>) Control without clearing device using the same parameters. (<b>A</b>,<b>D</b>) Behavior of single and clustered CTCs in absolute numbers. (<b>B</b>,<b>E</b>) Metastatic burden in arbitrary units. (<b>C</b>,<b>F</b>) Release of single and clustered CTCs from the primary tumor.</p>
Full article ">Figure 5
<p>A 50-day simulation of an implantable device where the metastases can emit CTCs. (<b>A</b>–<b>C</b>) A device that clears venous blood at the tumor-draining vessel is simulated. The device works 24 h a day (indicated by the yellow area). (<b>D</b>–<b>F</b>) Control without clearing device using the same parameters. (<b>A</b>,<b>D</b>) Behavior of single and clustered CTCs in absolute numbers. (<b>B</b>,<b>E</b>) Metastatic burden in arbitrary units. (<b>C</b>,<b>F</b>) Release of single and clustered CTCs from the primary tumor and the metastases.</p>
Full article ">Figure 6
<p>A 50-day simulation of an extracorporeal device where the metastases can emit CTCs. (<b>A</b>–<b>C</b>) A device that clears peripheral blood is simulated. The device works 8 h a day (indicated by the yellow areas). (<b>D</b>–<b>F</b>) Control without clearing device using the same parameters. (<b>A</b>,<b>D</b>) Behavior of single and clustered CTCs in absolute numbers. (<b>B</b>,<b>E</b>) Metastatic burden in arbitrary units. (<b>C</b>,<b>F</b>) Release of single and clustered CTCs from the primary tumor and the metastases.</p>
Full article ">Figure 7
<p>Comparison of the metastatic burden after a long-term simulation of three years between implanted and extracorporeal devices. The curves in blue show the progress of the metastases without the device and the orange dashed curve shows the course of metastases with the device. The number of days shown in each panel describes the time until the same number of metastases is reached with the clearing device in comparison to without the device. (<b>A</b>) Simulation of an implanted device without release into the lymphatic system. (<b>B</b>) Simulation of an extracorporeal device without release into the lymphatic system. (<b>C</b>) Simulation of an implanted device with a 5% release into the lymphatic system. (<b>D</b>) Simulation of an implanted device with a 30% release into the lymphatic system.</p>
Full article ">Figure A1
<p>Simulation of a constant release of single and clustered CTCs over 5 days. (<b>A</b>–<b>C</b>) A device that clears peripheral blood daily for 1 h, indicated by the yellow areas, is simulated. (<b>D</b>–<b>F</b>) Control without clearing device using the same parameters. (<b>A</b>,<b>D</b>) Dynamic behavior of single and clustered CTCs in absolute numbers. (<b>B</b>,<b>E</b>) Metastatic burden in arbitrary units. (<b>C</b>,<b>F</b>) Release of single and clustered CTCs from the primary tumor.</p>
Full article ">Figure A2
<p>Simulation of a constant release of single and clustered CTCs over 5 days. (<b>A</b>–<b>C</b>) A device that clears peripheral blood daily for 3 h with 100% efficiency, indicated by the yellow areas, is simulated. (<b>D</b>–<b>F</b>) Control without clearing device using the same parameters. (<b>A</b>,<b>D</b>) Dynamic behavior of single and clustered CTCs in absolute numbers. (<b>B</b>,<b>E</b>) Metastatic burden in arbitrary units. (<b>C</b>,<b>F</b>) Release of single and clustered CTCs from the primary tumor.</p>
Full article ">Figure A3
<p>Simulation of a high dynamic oscillating release of single and clustered CTCs over 5 days. (<b>A</b>–<b>C</b>) A device that clears peripheral blood daily for 3 h, right at the maximal release, indicated by the yellow areas, is simulated. (<b>D</b>–<b>F</b>) Control without clearing device using the same parameters. (<b>A</b>,<b>D</b>) Behavior of single and clustered CTCs in absolute numbers. (<b>B</b>,<b>E</b>) Metastatic burden in arbitrary units. (<b>C</b>,<b>F</b>) Release of single and clustered CTCs from the primary tumor.</p>
Full article ">Figure A4
<p>Simulation of a high dynamic oscillating release of single and clustered CTCs over 5 days. (<b>A</b>–<b>C</b>) A device that clears peripheral blood daily for 3 h, 8 h after the maximal release, indicated by the yellow areas, is simulated. (<b>D</b>–<b>F</b>) Control without clearing device using the same parameters. (<b>A</b>,<b>D</b>) Behavior of single and clustered CTCs in absolute numbers. (<b>B</b>,<b>E</b>) Metastatic burden in arbitrary units. (<b>C</b>,<b>F</b>) Release of single and clustered CTCs from the primary tumor.</p>
Full article ">Figure A5
<p>Simulation of an oscillating release of single and clustered CTCs over 5 days. (<b>A</b>–<b>C</b>) A device that clears peripheral blood daily for 8 h (e.g., overnight), right at the maximal release, indicated by the yellow areas, is simulated. (<b>D</b>–<b>F</b>) Control without clearing device using the same parameters. (<b>A</b>,<b>D</b>) Behavior of single and clustered CTCs in absolute numbers. (<b>B</b>,<b>E</b>) Metastatic burden in arbitrary units. (<b>C</b>,<b>F</b>) Release of single and clustered CTCs from the primary tumor.</p>
Full article ">Figure A6
<p>Simulation of an oscillating release of single and clustered CTCs over 5 days. (<b>A</b>–<b>C</b>) A device that clears peripheral blood daily for 8 h (e.g., overnight), right at the maximal release, indicated by the yellow areas and releases single CTCs, is simulated. (<b>D</b>–<b>F</b>) Control without clearing device using the same parameters. (<b>A</b>,<b>D</b>) Behavior of single and clustered CTCs in absolute numbers. (<b>B</b>,<b>E</b>) Metastatic burden in arbitrary units. (<b>C</b>,<b>F</b>) Release of single and clustered CTCs from the primary tumor.</p>
Full article ">Figure A7
<p>Simulation of an oscillating release of single and clustered CTCs over 5 days. (<b>A</b>–<b>C</b>) A device that clears peripheral blood all day long for 24 h, indicated by the yellow areas, is simulated. (<b>D</b>–<b>F</b>) Control without clearing device using the same parameters. (<b>A</b>,<b>D</b>) Behavior of single and clustered CTCs in absolute numbers. (<b>B</b>,<b>E</b>) Metastatic burden in arbitrary units. (<b>C</b>,<b>F</b>) Release of single and clustered CTCs from the primary tumor.</p>
Full article ">Figure A8
<p>Simulation of a high dynamic oscillating release of single and clustered CTCs over 5 days. (<b>A</b>–<b>C</b>) An implantable device that clears venous blood at the tumor-draining vessel daily for 23 h (indicated by the yellow areas) and releases single CTCs, is simulated; (<b>D</b>–<b>F</b>) Control without clearing device using the same parameters. (<b>A</b>,<b>D</b>) Behavior of single and clustered CTCs in absolute numbers. (<b>B</b>,<b>E</b>) Metastatic burden in arbitrary units. (<b>C</b>,<b>F</b>) Release of single and clustered CTCs from the primary tumor.</p>
Full article ">Figure A9
<p>Simulation of an increased release of CTCs due to a tumor removal surgery over 5 days (surgery takes place after 24 h). (<b>A</b>–<b>C</b>) An implantable device that clears venous blood at the tumor-draining vessel for 12 h after surgery during increased CTC release (indicated by the yellow areas). (<b>D</b>–<b>F</b>) Control without clearing device using the same parameters. (<b>A</b>,<b>D</b>) Behavior of single and clustered CTCs in absolute numbers. (<b>B</b>,<b>E</b>) Metastatic burden in arbitrary units. (<b>C</b>,<b>F</b>) Release of single and clustered CTCs from the primary tumor.</p>
Full article ">Figure A10
<p>Simulation of an increased release of CTCs due to a tumor removal surgery over 5 days (surgery takes place after 24 h). (<b>A</b>–<b>C</b>) An extracorporeal device that clears peripheral blood for 12 h after surgery during increased CTC release (indicated by the yellow areas). (<b>D</b>–<b>F</b>) Control without clearing device using the same parameters. (<b>A</b>,<b>D</b>) Behavior of single and clustered CTCs in absolute numbers. (<b>B</b>,<b>E</b>) Metastatic burden in arbitrary units. (<b>C</b>,<b>F</b>) Release of single and clustered CTCs from the primary tumor.</p>
Full article ">Figure A11
<p>Simulation of an increased release of CTCs due to a tumor removal surgery over 5 days (surgery takes place after 24 h). (<b>A</b>–<b>C</b>) An implantable device with low efficiency that clears venous blood at the tumor-draining vessel for 12 h after surgery during increased CTC release (indicated by the yellow areas). (<b>D</b>–<b>F</b>) Control without clearing device using the same parameters. (<b>A</b>,<b>D</b>) Behavior of single and clustered CTCs in absolute numbers. (<b>B</b>,<b>E</b>) Metastatic burden in arbitrary units. (<b>C</b>,<b>F</b>) Release of single and clustered CTCs from the primary tumor.</p>
Full article ">Figure A12
<p>A 50-day simulation of an implantable device where the metastases can emit CTCs and an initial metastatic burden of 20 au. (<b>A</b>–<b>C</b>) A device that clears venous blood at the tumor-draining vessel is simulated. The device works 24 h a day (indicated by the yellow area). (<b>D</b>–<b>F</b>) Control without clearing device using the same parameters. (<b>A</b>,<b>D</b>) Behavior of single and clustered CTCs in absolute numbers. (<b>B</b>,<b>E</b>) Metastatic burden in arbitrary units. (<b>C</b>,<b>F</b>) Release of single and clustered CTCs from the primary tumor and the metastases.</p>
Full article ">
17 pages, 2046 KiB  
Article
Genetic Signature of River Capture Imprinted in Schizopygopsis Fish from the Eastern Tibetan Plateau
by Lijun He, Yonghong Bi, David Weese, Jie Wu, Shasha Xu, Huimin Ren, Fenfen Zhang, Xueqing Liu, Lei Chen and Jing Zhang
Genes 2024, 15(9), 1148; https://doi.org/10.3390/genes15091148 - 31 Aug 2024
Viewed by 529
Abstract
Some East Asian rivers experienced repeated rearrangements due to Indian–Asian Plates’ collisions and an uplift of the Tibetan Plateau. For the upper Changjiang (Yangtze/Jinsha River), its ancient south-flowing course and subsequent capture by the middle Changjiang at the First Bend (FB) remained controversial. [...] Read more.
Some East Asian rivers experienced repeated rearrangements due to Indian–Asian Plates’ collisions and an uplift of the Tibetan Plateau. For the upper Changjiang (Yangtze/Jinsha River), its ancient south-flowing course and subsequent capture by the middle Changjiang at the First Bend (FB) remained controversial. The DNA of freshwater fishes possess novel evolutionary signals of these tectonic events. In this study, mtDNA Cyt b sequences of endemic Schizopygopsis fish belonging to a highly specialized grade of the Schizothoracinae from the eastern Tibetan Plateau were used to infer the palaeo-drainages connectivity history of the upper Changjiang system. Through phylogenetic reconstruction, a new clade D of Schizopygopsis with three genetic clusters and subclusters (DI, DII, DIIIa, and DIIIb) were identified from the upper Yalong, Changjiang, and Yellow Rivers; the Shuiluo River; the FB-upper Changjiang; and the Litang River; respectively. Ancient drainage connections and capture signals were indicated based on these cladogenesis events and ancestral origin inference: (1) the upper Yalong River likely acted as a dispersal origin of Schizopygopsis fish to the adjacent upper Yellow and Changjiang Rivers at ca. 0.34 Ma; (2) the Litang River seemed to have directly drained into the upper Changjiang/Yangtze/Jinsha River before its capture by the Yalong River at ca. 0.90 Ma; (3) the Shuiluo River likely flowed south along a course parallel to the upper Changjiang before their connection through Hutiao Gorge; (4) a palaeo-lake across the contemporary Shuiluo, Litang, and Yalong Rivers was inferred to have served as an ancestral origin of clade D of Schizopygopsis at 1.56 Ma. Therefore, this study sheds light on disentangling ambiguous palaeo-drainage history through integrating biological and geological evidence. Full article
Show Figures

Figure 1

Figure 1
<p>Map of palaeo-Changjiang drainage system 32 Ma. The palaeo-Changjiang River was divided into three unconnected main segments including the palaeo-Jinsha (upper Changjiang/Yangtze River), palaeo-Chuanjiang (middle Changjiang/Yangtze River), and lower Changjiang/Yangtze River. Several local rivers flowed into the Jianghan Basin. The flowing courses and directions of these palaeo-rivers are indicated by dashed lines with arrows. Ancient basins are shown in dark grey shadow. The contemporary shorelines of the mainland and islands are indicated by gray lines. SCB—Sichuan Basin, JHB—Jianghan Basin, SBSYSB—Subei-South Yellow Sea Basin, ECSB—East China Sea Basin, PRB—Pearl River Estuary Basin, YGB—Yinggehai Basin, FB—First Bend, R.—River, G.—Gorge. The broken oval region indicates ambiguous connections and flowing courses between the palaeo-Jinsha River, palaeo-Chuanjiang River, palaeo-Red River, palaeo-Mekong River, and palaeo-Salween River.</p>
Full article ">Figure 2
<p>Sampling locations of <span class="html-italic">Schizopygopsis</span> fish from the contemporary Yellow River and upper Changjiang/Yangtze River systems. The three main segments of the Changjiang River (i.e., upper, middle, and lower reaches) are delineated by green dotted lines. Some main cities along the Changjiang/Yangtze River are indicated by red dots. R.—River, FB—First Bend, SB—Second Bend. The number of sampling localities is same as that shown in <a href="#genes-15-01148-t001" class="html-table">Table 1</a>.</p>
Full article ">Figure 3
<p>Bayesian relaxed clock cladogram based on cytochrome b of <span class="html-italic">Schizopygopsis</span>’ clade D. Blue bars indicate the highest posterior density of nodal ages. Numbers above branches show the median age of ancestral nodes, and numbers below branches indicate nodal support values measured as bootstrap values (BP) and posterior probability (PP) inferred by Maximum Parsimony (MP), Maximum likelihood (ML), and Bayesian inference (BI) methodologies, respectively. Numbers in brackets indicate sampling localities, which are also shown in <a href="#genes-15-01148-t001" class="html-table">Table 1</a> and <a href="#genes-15-01148-f002" class="html-fig">Figure 2</a>.</p>
Full article ">Figure 4
<p>Median-joining network depicting relationships among cytochrome b haplotypes of <span class="html-italic">Schizopygopsis</span>’ clade D. Values along lines indicate substitution steps between haplotypes. Three genetic clusters (DI, DII, DIII) and two subclusters (DIIIa, DIIIb) are revealed.</p>
Full article ">Figure 5
<p>Ancestral area reconstruction of <span class="html-italic">Schizopygopsis</span>’ clade D. Pie charts at each node show posterior probabilities of an alternative ancestral distribution using different colors. Arrows show dispersal direction. The number of sampling localities from the legend is also shown in <a href="#genes-15-01148-f002" class="html-fig">Figure 2</a>. Vic, vicariance; DIS, dispersal. Star “*” indicates lumped ranges with a hidden probability of less than 5%.</p>
Full article ">Figure 6
<p>Palaeo-flowing course reconstruction of the upper Changjiang and Yellow Rivers’ system inferred from phylogenetic relationship and the ancestral origin of <span class="html-italic">Schizopygopsis</span>’ clade D in East Asia. (<b>a</b>) The ancient links among the upper Yalong River, Yellow River, and Changjiang/Yangtze/Jinsha/Tuotuo Rivers. (<b>b</b>) The palaeo-flowing courses and connectivity of the upper Changjiang/Yangtze/Jinsha River and Shuoqu, Shuiluo, Litang, and Yalong Rivers. The Litang River was suggested to have likely been connected directly to the Changjiang/Yangtze/Jinsha River instead of the Yalong River through the adjacent Shuoqu River. Three south-flowing rivers, upper Changjiang/Yangtze/Jinsha, Shuiluo, and Yalong Rivers, likely parallelly flowed into three different basins [<a href="#B16-genes-15-01148" class="html-bibr">16</a>]. The broken arrows indicate ancient connectivity and the dispersal direction of fish among the upper Yellow, Changjiang, and Yalong Rivers or between the Litang and Shuoqu Rivers. The gray dotted lines in (<b>b</b>) indicate contemporary connections and ancient separations between the upper Changjiang/Jinsha River and Shuiluo River, Shuiluo River and Yalong River, and Litang River and Yalong River, respectively. The dark gray circle indicates an inferred palaeo-lake in the upper Shuiluo, Litang, and Yalong Rivers.</p>
Full article ">
26 pages, 4308 KiB  
Review
Drought Stress Effects and Ways for Improving Drought Tolerance in Impatiens walleriana Hook.f.—A Review
by Marija Milovančević, Milana Trifunović-Momčilov, Olga Radulović, Snežana Milošević and Angelina Subotić
Horticulturae 2024, 10(9), 903; https://doi.org/10.3390/horticulturae10090903 - 26 Aug 2024
Viewed by 667
Abstract
Drought is one of the main abiotic stresses affecting plant growth and development. Reduced plant yield and quality are primarily caused by the reductions in photosynthesis, mineral uptake, metabolic disorders, damages from the increased production of reactive oxygen species, and many other disruptions. [...] Read more.
Drought is one of the main abiotic stresses affecting plant growth and development. Reduced plant yield and quality are primarily caused by the reductions in photosynthesis, mineral uptake, metabolic disorders, damages from the increased production of reactive oxygen species, and many other disruptions. Plants utilize drought resistance mechanisms as a defense strategy, and the systems’ activation is dependent upon several factors, including plant genotype, onthogenesis phase, drought intensity and duration, and the season in which the drought occurs. Impatiens walleriana is a worldwide popular flowering plant recognized for its vibrant flower colors, and is an indispensable plant in pots, gardens and other public areas. It prefers well-draining, moisturized soil, and does not perform well in overly dry or waterlogged conditions. Consequently, inadequate water supply is a common problem for this plant during production, transportation, and market placement, which has a substantial impact on plant performance overall. This review article outlines certain features of morphological, physiological, and molecular alterations induced by drought in ornamental, drought-sensitive plant species I. walleriana, as well as research carried out to date with the aim to improve the drought tolerance. Stress proteins aquaporins and dehydrins, whose molecular structure was described for the first time in this plant species, are highlighted specifically for their role in drought stress. Furthermore, the effective improvement of drought tolerance in I. walleriana by exogenous application of Plant Growth Regulators and Plant Growth-Promoting Bacteria is discussed in detail. Finally, this review can provide valuable insights for improving plant resilience and productivity in the face of water scarcity, which is critical for sustainable agriculture and horticulture. Full article
(This article belongs to the Special Issue Horticultural Production under Drought Stress)
Show Figures

Figure 1

Figure 1
<p>Drought effects on plant growth and development (<b>left</b> side), and plant resistance mechanisms to drought (<b>right</b> side).</p>
Full article ">Figure 2
<p><span class="html-italic">I. walleriana</span> with different color of flowers.</p>
Full article ">Figure 3
<p>Morphological differences between well-watered and drought-stressed <span class="html-italic">I. walleriana</span>. (<b>a</b>,<b>b</b>) well-watered shoots and roots; (<b>c</b>,<b>d</b>) drought-stressed shoots and roots.</p>
Full article ">Figure 4
<p>3D structures of <span class="html-italic">I. walleriana</span> aquaporins (IwPIP1;4, IwPIP2;2, IwPIP2;7 and IwTIP4;1), and dehydrins (IwDhn1, IwDhn2.1 and IwDhn2.2), obtained by using the software SWISS-MODEL (<a href="https://swissmodel.expasy.org/" target="_blank">https://swissmodel.expasy.org/</a>) and PHYRE2 (<a href="http://www.sbg.bio.ic.ac.uk/phyre2/html/page.cgi?id=index" target="_blank">http://www.sbg.bio.ic.ac.uk/phyre2/html/page.cgi?id=index</a>).</p>
Full article ">Figure 5
<p>Summarized effects of exogenously applied elicitors on <span class="html-italic">I. walleriana</span> drought-tolerance improvement.</p>
Full article ">
11 pages, 3249 KiB  
Article
Simulation of Novel Nano Low-Dimensional FETs at the Scaling Limit
by Pengwen Guo, Yuxue Zhou, Haolin Yang, Jiong Pan, Jiaju Yin, Bingchen Zhao, Shangjian Liu, Jiali Peng, Xinyuan Jia, Mengmeng Jia, Yi Yang and Tianling Ren
Nanomaterials 2024, 14(17), 1375; https://doi.org/10.3390/nano14171375 - 23 Aug 2024
Viewed by 486
Abstract
The scaling of bulk Si-based transistors has reached its limits, while novel architectures such as FinFETs and GAAFETs face challenges in sub-10 nm nodes due to complex fabrication processes and severe drain-induced barrier lowering (DIBL) effects. An effective strategy to avoid short-channel effects [...] Read more.
The scaling of bulk Si-based transistors has reached its limits, while novel architectures such as FinFETs and GAAFETs face challenges in sub-10 nm nodes due to complex fabrication processes and severe drain-induced barrier lowering (DIBL) effects. An effective strategy to avoid short-channel effects (SCEs) is the integration of low-dimensional materials into novel device architectures, leveraging the coupling between multiple gates to achieve efficient electrostatic control of the channel. We employed TCAD simulations to model multi-gate FETs based on various dimensional systems and comprehensively investigated electric fields, potentials, current densities, and electron densities within the devices. Through continuous parameter scaling and extracting the sub-threshold swing (SS) and DIBL from the electrical outputs, we offered optimal MoS2 layer numbers and single-walled carbon nanotube (SWCNT) diameters, as well as designed structures for multi-gate FETs based on monolayer MoS2, identifying dual-gate transistors as suitable for high-speed switching applications. Comparing the switching performance of two device types at the same node revealed CNT’s advantages as a channel material in mitigating SCEs at sub-3 nm nodes. We validated the performance enhancement of 2D materials in the novel device architecture and reduced the complexity of the related experimental processes. Consequently, our research provides crucial insights for designing next-generation high-performance transistors based on low-dimensional materials at the scaling limit. Full article
(This article belongs to the Special Issue Simulation Study of Nanoelectronics)
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>) Scaling trends of transistor dimensions and gate pitch. STI is shallow trench isolation, which is used to isolate neighboring devices. S and D represent the source and drain of the transistor, respectively. Introduction of new architecture and new materials, (<b>b</b>) global back-gate MoS<sub>2</sub> (CNT) FET, (<b>c</b>) local top-gate MoS<sub>2</sub> FET, (<b>d</b>) two-level stacking nanosheet MoS<sub>2</sub> GAAFET, (<b>e</b>,<b>f</b>) MoS<sub>2</sub>-based Fin-FET and GAA-FET, (<b>g</b>) MoS<sub>2</sub> FET with buried CNT, respectively.</p>
Full article ">Figure 2
<p>(<b>a</b>) The transfer curves of global back-gate MoS<sub>2</sub>-based FET with different number of layers. HfO<sub>2</sub> is used for the gate insulator with a thickness of <span class="html-italic">T</span><sub>ox</sub> = 3 nm. The length of source (drain) is equivalent to channel length <span class="html-italic">L</span><sub>ch</sub>. Channel width <span class="html-italic">W</span>ch = 8 nm, and drain-source voltage <span class="html-italic">V</span><sub>DS</sub> = 100 mV. (<b>b</b>) Layer-dependent characteristics of transfer curves of global back-gate MoS<sub>2</sub> FET with 3 nm and 5 nm channel length, respectively. (<b>c</b>) The extracted sub-threshold swing SS from (<b>a</b>) as a function of drain current <span class="html-italic">I</span><sub>DS</sub>. SS limitations are above 60 mV dec<sup>−1</sup> at room temperature.</p>
Full article ">Figure 3
<p>(<b>a</b>) Layer-dependent characteristics of SS for MoS<sub>2</sub>-based back-gate FET with various channel length. (<b>b</b>) SS as a function of channel length for four types of planar-gate FETs. BG, DG, SG, and CG represent back-gate, dual-gate, stacking-gate, and CNT-gate for MoS<sub>2</sub>-based FET, respectively. (<b>c</b>) SWCNT as channel materials in global back-gate FET and channel length dependent transfer curves. HfO<sub>2</sub> is used for the gate insulator with a thickness of <span class="html-italic">T</span><sub>ox</sub> = 1.8 nm. The width of source (drain) <span class="html-italic">W</span><sub>SD</sub> = 2 nm and the radius of CNT <span class="html-italic">R</span> = 0.5 nm. (<b>d</b>) The relationships between SS and channel length extracted from (<b>c</b>) for CNT-based FET with various radii. (<b>e</b>) The linear transfer curves of CNT FET with a diameter of 1 nm at varying <span class="html-italic">V</span><sub>DS</sub>. (<b>f</b>) DIBL comparison between single layer MoS<sub>2</sub> and single-walled CNT as the channel of back-gate FETs in varying channel length, which indicates the short-channel effects within sub-10 nm.</p>
Full article ">Figure 4
<p>Electric field (<b>a</b>), current density (<b>b</b>), and electron density (<b>c</b>) contour plots in the on-state (<span class="html-italic">V</span><sub>DS</sub> = 100 mV, <span class="html-italic">V</span><sub>BG</sub> = 3 V, <span class="html-italic">V</span><sub>TG</sub> = 3 V) for dual-gate MoS<sub>2</sub> FET. Electric field (<b>d</b>), current density (<b>e</b>), and electron density (<b>f</b>) contour plots in the on-state (<span class="html-italic">V</span><sub>DS</sub> = 100 mV, <span class="html-italic">V</span><sub>BG</sub> = 3 V, <span class="html-italic">V</span><sub>MG</sub> = 3 V, <span class="html-italic">V</span><sub>TG</sub> = 3 V) for two-level stacking-gate nanosheet MoS<sub>2</sub> GAAFET. HfO<sub>2</sub> is used for the tog-gate and middle-gate insulator with thickness of <span class="html-italic">T</span><sub>ox</sub> = 1.8 nm and <span class="html-italic">T</span><sub>oxM</sub> = 1 nm, respectively. The electrical characteristics of both devices were simulated by 2D planar models.</p>
Full article ">Figure 5
<p>Electric field (<b>a</b>), electrostatic potential (<b>b</b>), and electron density (<b>c</b>) contour plots in the on-state (<span class="html-italic">V</span><sub>DS</sub> = 100 mV, <span class="html-italic">V</span><sub>GS</sub> = 3 V) for MoS<sub>2</sub> FinFET. Electric field (<b>d</b>), electrostatic potential (<b>e</b>), and electron density (<b>f</b>) contour plots in top and cross view in the on-state (<span class="html-italic">V</span><sub>DS</sub> = 100 mV, <span class="html-italic">V</span><sub>GS</sub> = 3 V) for MoS<sub>2</sub> GAAFET. The electrical characteristics of both devices were simulated by 3D models, and the profiles upper and lower each figure are from the XY and XZ directions of the model respectively.</p>
Full article ">
12 pages, 1099 KiB  
Article
A Physiologically Based Pharmacokinetic Model Relates the Subcutaneous Bioavailability of Monoclonal Antibodies to the Saturation of FcRn-Mediated Recycling in Injection-Site-Draining Lymph Nodes
by Felix Stader, Cong Liu, Abdallah Derbalah, Hiroshi Momiji, Xian Pan, Iain Gardner, Masoud Jamei and Armin Sepp
Antibodies 2024, 13(3), 70; https://doi.org/10.3390/antib13030070 - 15 Aug 2024
Viewed by 947
Abstract
The bioavailability of a monoclonal antibody (mAb) or another therapeutic protein after subcutaneous (SC) dosing is challenging to predict from first principles, even if the impact of injection site physiology and drug properties on mAb bioavailability is generally understood. We used a physiologically [...] Read more.
The bioavailability of a monoclonal antibody (mAb) or another therapeutic protein after subcutaneous (SC) dosing is challenging to predict from first principles, even if the impact of injection site physiology and drug properties on mAb bioavailability is generally understood. We used a physiologically based pharmacokinetic model to predict pre-systemic clearance after SC administration mechanistically by incorporating the FcRn salvage pathway in antigen-presenting cells (APCs) in peripheral lymph nodes, draining the injection site. Clinically observed data of the removal rate of IgG from the arm as well as its plasma concentration after SC dosing were mostly predicted within the 95% confidence interval. The bioavailability of IgG was predicted to be 70%, which mechanistically relates to macropinocytosis in the draining lymph nodes and transient local dose-dependent partial saturation of the FcRn receptor in the APCs, resulting in higher catabolism and consequently less drug reaching the systemic circulation. The predicted free FcRn concentration was reduced to 40–45%, reaching the minimum 1–2 days after the SC administration of IgG, and returned to baseline after 8–12 days, depending on the site of injection. The model predicted the uptake into APCs, the binding affinity to FcRn, and the dose to be important factors impacting the bioavailability of a mAb. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Structure of the subcutaneous absorption model, coupled to a whole-body PBPK model in the Simcyp Simulator V22. Arrows represent the disposition of the simulated TP. APCs = antigen-presenting cells, CL<sub>cat</sub> = catabolic clearance, f<sub>cat</sub> = fraction of catabolic clearance, FR = fraction recycled, K<sub>cat</sub> = catabolic clearance, KD = binding affinity to FcRn at pH 6.0, K<sub>rc</sub> = recycling rate, K<sub>int</sub> = internalization rate, K<sub>up</sub> = fluid-phase endocytosis uptake rate, L<sub>aff</sub> = afferent lymph flow, L<sub>eff</sub> = efferent lymph flow, PS = permeability surface area product of small and large pores, Q<sub>sc</sub> = blood flow to the SC site, σ<sub>l</sub> = lymphatic reflection coefficient, σ<sub>v</sub> = vascular reflection coefficient through small and large pores.</p>
Full article ">Figure 2
<p>Predicted vs. observed IgG plasma concentration (<b>A</b>) and removal rate from the arm (<b>B</b>). The red markers represent the observed data [<a href="#B15-antibodies-13-00070" class="html-bibr">15</a>,<a href="#B35-antibodies-13-00070" class="html-bibr">35</a>]. The solid lines, the dashed line, and the shaded area show the mean of each virtual trial and the mean and the confidence interval of the entire virtual population.</p>
Full article ">Figure 3
<p>Percentage of free FcRn in antigen-presenting cells (APCs) in peripheral lymph nodes draining the SC site. Dash dotted line = arm, dashed line = abdomen, solid line = back, dotted line = thigh.</p>
Full article ">Figure 4
<p>Population sensitivity analysis on the fluid-phase endocytosis uptake (Kup) into APCs (<b>A</b>), the binding affinity to FcRn (<b>B</b>), and the dose (<b>C</b>) after injection of IgG into the arm. The black line shows the mean and the gray shaded area denotes the 95% confidence interval of a virtual population containing 100 individuals (50% female) aged 20 to 50 years.</p>
Full article ">
17 pages, 26856 KiB  
Article
Changed Seasonality and Forcings of Peak Annual Flows in Ephemeral Channels at Flagstaff, Northern Arizona, USA
by Erik Schiefer and Edward Schenk
Hydrology 2024, 11(8), 115; https://doi.org/10.3390/hydrology11080115 - 3 Aug 2024
Viewed by 620
Abstract
Flood variability associated with urbanization, ecological change, and climatic change is of increasing economic and social concern in and around Flagstaff, Arizona, where flood hydrology is influenced by a biannual precipitation regime and the relatively unique geologic setting at the edge of the [...] Read more.
Flood variability associated with urbanization, ecological change, and climatic change is of increasing economic and social concern in and around Flagstaff, Arizona, where flood hydrology is influenced by a biannual precipitation regime and the relatively unique geologic setting at the edge of the San Francisco Volcanic Field on the southern edge of the Colorado Plateau. There has been limited long-term gauging of the ephemeral channels draining the developed lands and dry coniferous forests of the region, resulting in a spaciotemporal gap in observation-based assessments of large-scale flooding patterns. We present new data from over 10 years of flood monitoring using a crest stage gauge network, combined with other channel monitoring records from multiple agency sources, to assess inter-decadal patterns of flood change in the area, with a specific emphasis on examining how various controls and disturbances have altered the character and seasonality of peak annual flows. Methods of analysis included the following: using Fisher’s Exact Test to compare the seasonality of flooding between historic data spanning the 1970s and contemporary data obtained since 2010; summarizing GIS-based spatial data and meteorological timeseries to characterize study catchment conditions and changes between flood study periods; and relating spatiotemporal patterns of flood seasonality and occurrences of notably large floods with catchment characteristics and environmental changes. Our results show systematic patterns and changes in Flagstaff-area flood regimes that relate to geologic and topographic controls of the varied catchment systems, and in response to records of climate variations and local catchment disturbances, including urbanization and, especially, high-severity wildfire. For most catchments there has been a shift from predominantly late winter to spring snowmelt floods, or mixed seasonal flood regimes, towards monsoon-dominated flooding, patterns which may relate to observed local warming and precipitation changes. Post-wildfire flooding has produced extreme flood discharges which have likely exceeded historical estimates of flood magnitude over decade-long monitoring periods by one to two orders of magnitude. We advocate for continued monitoring and the expansion of local stream gauge networks to enable seasonal, magnitude-frequency trend analyses, improved climate and environmental change attribution, and to better inform the many planned and ongoing flood mitigation projects being undertaken in the increasingly developed Flagstaff region. Full article
(This article belongs to the Special Issue Runoff Modelling under Climate Change)
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Study area map showing gauge locations, study catchments, topographic features, meteorological stations, developed land cover (USGS National Land Cover Database), major wildfires (multiple sources; see <a href="#sec3-hydrology-11-00115" class="html-sec">Section 3</a>), and extent of forest thinning within study catchments.</p>
Full article ">Figure 2
<p>Peak annual flood record for all study catchments (<a href="#hydrology-11-00115-f001" class="html-fig">Figure 1</a>) indicating seasonality and relative stage magnitude by group: (A) Mountain tributaries; (B) Rio de Flag (within city); and (C) Plateau tributaries. Three records (Bow and Arrow at Airport, Cherry and Walnut creeks) have additional data prior to what is shown in this figure but were deemed too incomplete for peak annual flood assessment.</p>
Full article ">Figure 3
<p>Selected Flagstaff Airport climate station temperature- and precipitation-based variables since 1950, including derived variable means for equal-length intervals (bold horizontal lines) overlapping the historic USGS monitoring (1969–1980) and our recent monitoring periods (2012–2023).</p>
Full article ">
24 pages, 1521 KiB  
Article
Developing Macroinvertebrate Biotic Indices in Nigerian Urban-Agricultural River Catchments: Is the Continuous Scoring System More Effective than Discrete Scoring System?
by Augustine Ovie Edegbene, Francis Ofurum Arimoro and Oghenekaro Nelson Odume
Water 2024, 16(15), 2182; https://doi.org/10.3390/w16152182 - 1 Aug 2024
Viewed by 885
Abstract
The evaluation of the ecological consequences of anthropogenic stressors is a critical challenge in the management of the environment. Multimetric indices (MMIs) are one of the biomonitoring tools that have been widely explored to assess the ecological health of riverine systems globally, as [...] Read more.
The evaluation of the ecological consequences of anthropogenic stressors is a critical challenge in the management of the environment. Multimetric indices (MMIs) are one of the biomonitoring tools that have been widely explored to assess the ecological health of riverine systems globally, as MMIs have proven to be extremely effective, owing to their ability to incorporate data and information from both structural and functional assemblages of organisms and the entire ecosystem. Currently, there are very few MMIs developed in Nigeria to assess the ecological health of riverine systems, and none of the MMIs was developed for river stations draining urban and agricultural catchments. In order to close this gap, we developed and validated a macroinvertebrate-based MMI for assessing the ecological health of river systems in the Niger Delta area of Nigeria draining urban and agriculture catchments. Furthermore, we also compared the effectiveness of both continuous scoring and discrete systems for the development of MMI. Physico-chemical variables and macroinvertebrates were collected from 17 well-marked out stations that spread throughout 11 different river systems. The stations were classified into three categories based on the degree of impact: least-impacted stations (LIS), moderately impacted stations (MIS), and heavily impacted stations (HIS). Sixty-seven (67) candidate macroinvertebrate metrics were potentially tested, and only five metrics were deemed significant and ultimately retained for integration into the final Niger Delta urban–agriculture MMI. The following five metrics were chosen to remain in use for the MMI development: Chironomidae/Diptera abundance, %Odonata, Margalef index, Oligochaete richness and logarithmic-transformed relative abundance of sprawler. Notable performance rates of 83.3% for the least-impacted stations and 75% for the moderately impacted stations were found during the index’s validation using a different dataset. However, for the stations that were most affected (i.e., the HIS), a 22.2% performance rate was noted. The Niger Delta urban–agriculture MMI was adjudged to be suitable as a biomonitoring tool for riverine systems subjected to similar combined stressors of urban and agricultural pollution. Full article
(This article belongs to the Section Water Resources Management, Policy and Governance)
Show Figures

Figure 1

Figure 1
<p>Distribution map of the study area showing the sampled locations. <b>Note:</b> R1 = Owan River; R2 = Ossiomo River 1; R3 = Ossiomo River 2; R4 = Ogba River 1; R5 = Ogba River 2; R6 = Eriora River; R7 = Orogodo River; R8 = Obosh River 1; R9 = Obosh River 2; R10 = Anwai River; R11 = Edor River 1; R12 = Edor River 2; R13 = Umaluku River 1; R14 = Umaluku River 2; R15 = Umu River; R16 = Ethiope River 1; R17 = Ethiope River 2.</p>
Full article ">Figure 2
<p>Box plots visualising five metrics that were sensitive in this study. <b>Note metrics and stations categories abbreviations:</b> Chi/Dip Abun = Chironomidae/Diptera Abundance; %Odo = %Odonata; Oli Rich = Oligochaete Richness; Mar Ind = Margalef Index. LIS= least-impacted stations; MIS = moderately impacted stations; HIS =heavily impacted stations.</p>
Full article ">Figure 3
<p>Box plots visualising five metrics that were seasonally stable in this study. <b>Note metric abbreviations:</b> Chi/Dip Abun = Chironomidae/Diptera Abundance; %Odo = %Odonata; Oli Rich = Oligochaete Richness; Mar Ind = Margalef Index; Log Spr = Logarithm relative abundance of Sprawler.</p>
Full article ">Figure 4
<p>RDA triplot showing the association between physio-chemical variables and the metrics integrated into the final MMI. Physico-chemical variable abbreviations: Wat Temp (water temperature), depth (water depth), Flow vel (flow velocity), DO (dissolved oxygen), BOD (five days biochemical oxygen demand), and Nit (nitrate).</p>
Full article ">
18 pages, 5171 KiB  
Article
Heavy Mineral and Zircon Age Constraints on Provenance of Cenozoic Sandstones in the Gulf of Mexico Subsurface
by Andrew C. Morton, Michael E. Strickler and C. Mark Fanning
Minerals 2024, 14(8), 779; https://doi.org/10.3390/min14080779 - 30 Jul 2024
Viewed by 635
Abstract
Combined heavy mineral analysis and detrital zircon geochronology have enabled us to track detritus supplied by the ancestral river systems draining the North American continent into the deep subsurface of the Gulf of Mexico, in both the coastal plain and the offshore deep [...] Read more.
Combined heavy mineral analysis and detrital zircon geochronology have enabled us to track detritus supplied by the ancestral river systems draining the North American continent into the deep subsurface of the Gulf of Mexico, in both the coastal plain and the offshore deep water areas. During deposition of the Paleocene–Eocene Wilcox Group, sandstones in the western part of the area are interpreted as the products of the Rosita system derived via paleo-Rio Grande material, with a large component of sediment shed from the Western Cordillera. By contrast, samples from wells further east have high proportions of zircons derived from the Yavapai-Mazatzal Province and are attributed to the Rockdale system with sediment fed predominantly by the paleo-Colorado or paleo-Colorado-Brazos. There is evidence that sediment from the Rosita system occasionally extended into the central Gulf of Mexico, and, likewise, data indicate that the Rockdale system sporadically supplied sediment to the western part of the basin. During the Late Eocene of the central Gulf of Mexico (Yegua Formation) there was a distinct shift in provenance. The earlier Yegua sandstones have a large Grenville zircon component and are most likely to have had a paleo-Mississippi origin, whereas the later Yegua sandstones are dominated by zircons of Western Cordilleran origin, similar to Wilcox sandstones fed by the Rosita system via the paleo-Rio Grande. The switch from paleo-Mississippi to paleo-Rio Grande sourcing implies there was a major reorganisation of drainage patterns during the Late Eocene. Miocene sandstones in the deepwater Gulf of Mexico were principally sourced from the paleo-Mississippi, although the paleo-Red River is inferred to have contributed to the more westerly-located wells. Full article
(This article belongs to the Section Mineral Geochemistry and Geochronology)
Show Figures

Figure 1

Figure 1
<p>Location of the wells discussed in this paper.</p>
Full article ">Figure 2
<p>Relationships between burial depth and GZi and between ATi and RuZi in Wilcox Group sandstones from the GoM basin. Square symbols are samples with U-Pb zircon chronology data. Data from Allan Kovar #1, Urban #2 and Weatherby Gas Unit #2 are from core, whereas Shenzi Deep, Chinook Deep and Diamond Back are from ditch cuttings.</p>
Full article ">Figure 3
<p>Stratigraphic variations in ATi, GZi and chloritoid content in Wilcox Group sandstones in Chinook Deep. The square symbol shows the sample with U-Pb zircon chronology data.</p>
Full article ">Figure 4
<p>Wilcox Group zircon age spectra displayed as combined histogram-probability density plots. Dark grey = zircons with &lt;10% discordance, pale grey = zircons with &gt;10% discordance. ‘n’ = number of zircons with &lt;10% discordance in the total zircon population. Data from Allan Kovar #1, Urban #2 and Weatherby Gas Unit #2 are from core, whereas Shenzi Deep, Chinook Deep and Diamond Back are from ditch cuttings.</p>
Full article ">Figure 5
<p>Zircon age distributions in the 0–300 Ma range in samples from the Wilcox Group in the western GoM.</p>
Full article ">Figure 6
<p>Paleodrainage reconstruction for the Wilcox Group in the GoM adapted from Galloway et al. [<a href="#B2-minerals-14-00779" class="html-bibr">2</a>] and Blum et al. [<a href="#B20-minerals-14-00779" class="html-bibr">20</a>], showing locations of the wells discussed in this paper. Terrane base map is from Blum et al. [<a href="#B20-minerals-14-00779" class="html-bibr">20</a>]. The yellow line is the Paleocene shelf margin.</p>
Full article ">Figure 7
<p>Zircon populations in Wilcox, Yegua and Miocene sandstones broken down into the specific age groups defined by Mackey et al. [<a href="#B17-minerals-14-00779" class="html-bibr">17</a>]. *—data from Xu et al. [<a href="#B23-minerals-14-00779" class="html-bibr">23</a>]; Rio Grande Embayment is compiled from samples GOM2–7; Houston Embayment is compiled from samples GOM8–13; Mississippi Embayment is compiled from samples GOM14–15; Eastern Gulf of Mexico is compiled from samples GOM16–19. **—data from Craddock and Kylander-Clark [<a href="#B4-minerals-14-00779" class="html-bibr">4</a>]. ***—data from Mackey et al. [<a href="#B17-minerals-14-00779" class="html-bibr">17</a>].</p>
Full article ">Figure 8
<p>ATi-RuZi plot of Yegua sandstones in Mid-Val #2 and #4 showing the presence of two distinct provenance types. Square symbols are samples with U-Pb zircon chronology data. All data are from core.</p>
Full article ">Figure 9
<p>Yegua and Miocene age zircon spectra displayed as combined histogram-probability density plots. Dark grey = zircons with &lt;10% discordance, pale grey = zircons with &gt;10% discordance. ‘n’ = number of zircons with &lt;10% discordance in the total zircon population. Data from Mid-Val #4 are from core, whereas Jedi, Shenzi Deep and Stampede are from ditch cuttings.</p>
Full article ">Figure 10
<p>Heavy mineral parameters in Miocene sandstones from Jedi, Myrtle Beach, Shenzi, Stampede and Tubular Bells. Square symbols are samples with U-Pb zircon chronology data. All data are from ditch cuttings.</p>
Full article ">Figure 11
<p>Miocene paleodrainage into the GoM, adapted from Galloway et al. [<a href="#B2-minerals-14-00779" class="html-bibr">2</a>] and Xu et al. [<a href="#B23-minerals-14-00779" class="html-bibr">23</a>], showing the locations of wells discussed in this paper. Terrane base map is from Blum et al. [<a href="#B20-minerals-14-00779" class="html-bibr">20</a>].</p>
Full article ">
17 pages, 2752 KiB  
Article
Cover Crop Effects on Surface Runoff and Subsurface Flow in Rainfed Hillslope Farming and Connections to Water Quality
by Víctor Hugo Durán Zuazo, Belén Cárceles Rodríguez, Simón Cuadros Tavira, Baltasar Gálvez Ruiz and Iván Francisco García-Tejero
Land 2024, 13(7), 1103; https://doi.org/10.3390/land13071103 - 21 Jul 2024
Viewed by 657
Abstract
Surface runoff and subsurface flow patterns were monitored in hillside runoff plots in almond and olive orchards with soils covered with spontaneous plants over two hydrological years. The experimental runoff plots were located on the south flank of the Sierra Nevada (Lanjarón, SE [...] Read more.
Surface runoff and subsurface flow patterns were monitored in hillside runoff plots in almond and olive orchards with soils covered with spontaneous plants over two hydrological years. The experimental runoff plots were located on the south flank of the Sierra Nevada (Lanjarón, SE Spain) at 580 m a.s.l. with an area of 40 m2 (10 m × 4 m). The surface and subsurface discharge were collected and measured at different soil depths (0, 5, 10, 25, and 50 cm), and the dissolved nutrient concentrations (NO3–N, NH4–N, PO4–P, and K) were determined. According to the findings, the subsurface flow pathways drained most of the rainfall water compared with surface runoff, which was affected by plant cover. The influence of rainfall intensity (I30) on surface runoff was more meaningful than that on subsurface flow. Throughout the monitoring period, the runoff coefficients at soil depths of 0, 5, 10, 25, and 50 cm averaged 0.04, 0.11, 0.14, 0.17, and 0.18, respectively. Subsurface flow was one of the dominant pathways for N and K loss, whereas P loss mainly occurred via surface runoff. Moreover, the concentrations in subsurface flow were higher than the recommended level for standard water quality for NO3–N, NH4–N, and PO4–P. Subsurface flow was the main route of dissolved nutrient delivery, making these nutrients available to the root systems of trees, where nutrient uptake is more likely to occur. Thus, by lessening surface runoff and encouraging surface vegetation coverage to facilitate the recycling of nutrients and buffer the rainfall’s impact on the soil surface, nutrient loss control can be achieved. Full article
Show Figures

Figure 1

Figure 1
<p>Rainfed hillslope farming with almond (<b>A</b>) and olive (<b>B</b>) plantations (SE Spain).</p>
Full article ">Figure 2
<p>Surface (0 cm) and subsurface flow plots (5, 10, 25, and 50 cm soil depths) used for the experiment.</p>
Full article ">Figure 3
<p>Frequency of the rainfall depth (<b>A</b>) and maximum intensity at 30 min (I<sub>30</sub>) (<b>B</b>) for the monitoring period. Values inside the columns are percentages with respect to the total events.</p>
Full article ">Figure 4
<p>Surface runoff (0 cm) and subsurface flow (5, 10, 25, and 50 cm) in almond and olive plots during the monitoring period. Different lowercase letters (a or b) are statistically different at 0.05 level by the least significance difference (LSD) test.</p>
Full article ">
20 pages, 6523 KiB  
Article
Reducing Torque and Drag in Extended-Reach Wells Using Thermoplastic Polymers for Protective Sliding Rings
by Karim El Sabeh, Borivoje Pašić, Petar Mijić and Igor Medved
Appl. Sci. 2024, 14(14), 6161; https://doi.org/10.3390/app14146161 - 15 Jul 2024
Viewed by 534
Abstract
Extended-reach drilling represents an advanced way of drilling and accessing reservoirs that were previously economically not feasible to drain, impossible to reach or in an environmentally sensitive area. One of the main issues that appears while drilling such wells is caused by the [...] Read more.
Extended-reach drilling represents an advanced way of drilling and accessing reservoirs that were previously economically not feasible to drain, impossible to reach or in an environmentally sensitive area. One of the main issues that appears while drilling such wells is caused by the high values of friction factor which cause high values of torque and drag. One of the suggested solutions is to use a protective sliding ring made from materials such as POM, Teflon and PA6 in combination with lubricants added to a polymer mud system. First, measurements were conducted on a lubricity tester to choose the best material and, after finishing, a mechanical wear test was conducted on a specially designed device to measure mechanical wear. Results showed that Teflon showed lower values of friction factor in comparison to steel and the mechanical wear was minimal. The lowest value of friction force was recorded for blocks made from Teflon in tested mud systems. It is also noticeable that, in polymer mud with weighting additives and lubricant, the value of the friction force is higher than in polymer mud with lubricant only. Full article
(This article belongs to the Special Issue Recent Advances in Drilling Fluid Technologies)
Show Figures

Figure 1

Figure 1
<p>Different well types [<a href="#B18-applsci-14-06161" class="html-bibr">18</a>].</p>
Full article ">Figure 2
<p>Non-rotating drill pipe protector with pipe joint hardbanding.</p>
Full article ">Figure 3
<p>OFITE lubricity tester used for measuring coefficient of lubricity.</p>
Full article ">Figure 4
<p>Blocks made from Teflon, PA6, POM and steel used for research on lubricity tester.</p>
Full article ">Figure 5
<p>Schematic representation of a device for measuring the mechanical wear of machine parts that are in direct contact [<a href="#B37-applsci-14-06161" class="html-bibr">37</a>].</p>
Full article ">Figure 6
<p>Device for measuring the mechanical wear of machine parts that are in direct contact.</p>
Full article ">Figure 7
<p>Test block made from Teflon.</p>
Full article ">Figure 8
<p>The friction forces measured on the block made from different materials in tested polymer drilling fluid without weighting additives and with lubricant X at a concentration of 2% vol. (PLX2%).</p>
Full article ">Figure 9
<p>The friction forces measured on the block made from different materials in tested polymer drilling fluid with weighting additive and with lubricant X at a concentration of 2% vol. (PWLX2%).</p>
Full article ">Figure 10
<p>The friction forces measured on the block made from different materials in tested polymer drilling fluid without weighting additive and with lubricant Y at a concentration of 2% vol. (PLY2%).</p>
Full article ">Figure 11
<p>The friction forces measured on the block made from different materials in tested polymer drilling fluid with weighting additive and with lubricant Y at a concentration of 2% vol. (PWLY2%).</p>
Full article ">Figure 12
<p>The friction forces measured on the block made from different materials in tested polymer drilling fluid without weighting additive and with lubricant Z at a concentration of 2% vol. (PLZ2%).</p>
Full article ">Figure 13
<p>The friction forces measured on the block made from different materials in tested polymer drilling fluid with weighting additive and with lubricant Z at a concentration of 2% vol. (PWLZ2%).</p>
Full article ">Figure 14
<p>Comparison of friction forces measured on the block made from Teflon in polymer drilling fluid without weighting additive (PL2) and with one of three lubricants, X, Y and Z, at a concentration of 2% vol.</p>
Full article ">Figure 15
<p>Comparison of friction forces measured on the block made from Teflon in polymer drilling fluid with weighting additive and with one of three lubricants, X, Y and Z, at a concentration of 2% vol. (PWL2).</p>
Full article ">Figure 16
<p>Test block made from Teflon before (<b>A</b>) and measurement after (<b>B</b>) 24 h.</p>
Full article ">Figure 17
<p>Mechanical wear of Teflon blocks after 24 h of testing in polymer mud with and without weighting additive in which one of three lubricants, X, Y and Z, was added at a concentration of 2% vol.</p>
Full article ">Figure 18
<p>Values of friction factor before and after 24 h of testing in polymer mud with and without weighting additives in which one of three lubricants, X, Y and Z, are added at a concentration of 2% vol.</p>
Full article ">Figure 19
<p>Example of installing a protective sliding ring on the drill pipe joint.</p>
Full article ">
14 pages, 5086 KiB  
Article
Investigation of High-Sensitivity pH Sensor Based on Au-Gated AlGaN/GaN Heterostructure
by Minjie Ye, Jianwen Sun, Teng Zhan, Robert Sokolovskij, Yulong Zhang, Jiangtao Wei, Shaomin Chen and Zewen Liu
Appl. Sci. 2024, 14(14), 6131; https://doi.org/10.3390/app14146131 - 14 Jul 2024
Viewed by 1230
Abstract
A high-sensitivity pH sensor based on an AlGaN/GaN high-electron mobility transistor (HEMT) with a 10 nm thick Au-gated sensing membrane was investigated. The Au nanolayer as a sensing membrane was deposited by electron-beam evaporation and patterned onto the GaN cap layer, which provides [...] Read more.
A high-sensitivity pH sensor based on an AlGaN/GaN high-electron mobility transistor (HEMT) with a 10 nm thick Au-gated sensing membrane was investigated. The Au nanolayer as a sensing membrane was deposited by electron-beam evaporation and patterned onto the GaN cap layer, which provides more surface-active sites and a more robust adsorption capacity for hydrogen ions (H+) and hydroxide ions (OH) and thus the sensitivity of the sensor can be significantly enhanced. A quasi-reference electrode was used to minimize the sensing system for the measurement of the microliter solution. The measurement and analysis results demonstrate that the fabricated sensor exhibits a high potential sensitivity of 58.59 mV/pH, which is very close to the Nernstian limit. The current sensitivity is as high as 372.37 μA/pH in the pH range from 4.0 to 9.18, under a 3.5 V drain-source voltage and a 0 V reference-source voltage. Comparison experiments show that the current sensitivity of the Au-gated sensor can reach 3.9 times that of the SiO2-gated sensor. Dynamic titration experiments reveal the pH sensor’s ability to promptly respond to immediate pH variations. These findings indicate that this pH sensor can meet most application requirements for advanced medical and chemical analysis. Full article
(This article belongs to the Section Applied Physics General)
Show Figures

Figure 1

Figure 1
<p>Schematic cross-section diagram of the Au-gated AlGaN/GaN heterostructure-based pH sensor.</p>
Full article ">Figure 2
<p>Photograph of the Au-gated pH sensor: (<b>a</b>) photograph of the PCB; (<b>b</b>) microscope image of the sensor active area.</p>
Full article ">Figure 3
<p>SEM images of the device: (<b>a</b>) top view of the sensing area; (<b>b</b>) zoom-in view of the Au-gated sensing membrane.</p>
Full article ">Figure 4
<p>EDS of the Au-gated sensing membrane.</p>
Full article ">Figure 5
<p>Transfer characteristics of the Au-gated pH sensor in the three pH standard buffered solutions at different drain-source voltages: (<b>a</b>) V<sub>DS</sub> = 0.1 V, (<b>b</b>) V<sub>DS</sub> = 0.5 V, (<b>c</b>) V<sub>DS</sub> = 1.0 V, (<b>d</b>) V<sub>DS</sub> = 2.0 V.</p>
Full article ">Figure 6
<p>S<sub>V</sub> of the Au-gated AlGaN/GaN pH sensor.</p>
Full article ">Figure 7
<p>I<sub>DS</sub>-V<sub>DS</sub> of the Au-gated AlGaN/GaN pH sensor with W/L = 160/40 µm in the three pH standard buffered solutions at different V<sub>Ref</sub>.</p>
Full article ">Figure 8
<p>S<sub>A</sub> of the Au-gated AlGaN/GaN pH sensor with W/L = 160/40 µm: different V<sub>Ref</sub> values.</p>
Full article ">Figure 9
<p>I<sub>DS</sub>-V<sub>DS</sub> of pH sensors with W/L = 40/40 µm in the three pH standard buffered solutions at different V<sub>Ref</sub>: (<b>a</b>) Au-gated sensing membrane; (<b>b</b>) SiO<sub>2</sub>-gated sensing membrane.</p>
Full article ">Figure 10
<p>S<sub>A</sub> of the Au-gated and SiO<sub>2</sub>-gated pH sensors.</p>
Full article ">Figure 11
<p>Real-time dynamic pH responses of the Au-gated AlGaN/GaN pH sensor.</p>
Full article ">Figure 12
<p>Sensing schematic diagram of the Au-gated AlGaN/GaN pH sensor: (<b>a</b>) alkaline solution; (<b>b</b>) acidic solution.</p>
Full article ">Figure 13
<p>Energy band diagram of the Au-gated AlGaN/GaN pH sensor under different pH values.</p>
Full article ">
16 pages, 5976 KiB  
Article
Updated Talbot Method for Culvert Design Discharge Prediction
by Özay Uslu, Abdullah Hilmi Lav and Zekâi Şen
Water 2024, 16(14), 1972; https://doi.org/10.3390/w16141972 - 12 Jul 2024
Viewed by 650
Abstract
Surface runoff flows must be drained safely through culverts in ephemeral flow streams and bridges in perennial streams without any damage to the road or highway infrastructure stability. In practice, bridges cross drainage basin channels reliably, and they are more carefully planned, designed, [...] Read more.
Surface runoff flows must be drained safely through culverts in ephemeral flow streams and bridges in perennial streams without any damage to the road or highway infrastructure stability. In practice, bridges cross drainage basin channels reliably, and they are more carefully planned, designed, constructed, and maintained against extreme water passages, but culverts are subject to even less frequent and intensive rainfall consequent surface runoff occurrences with higher risk potential. It is, therefore, necessary to design culverts more carefully in such a way that they drain down the upstream surface water without any critical problem to the road downstream of the road stream channels. Most of the hydrological, hydraulic, and sedimentological formulations are empirical expressions that are widely valid for locations where culverts are suitably developed based on simple bivalent logical rules between factors involved in upstream inlet locations of culverts. One of the first logic rule-based methods in the literature is Talbot’s procedural approach to culvert design. This approach is based not only on an explicit equation, but also on a set of linguistically proposed design rules that are expressed deterministically to effectively eliminate most of the ambiguities. This paper proposes a modified approach with additional logistic structural features based on a bivalent logic inference system, which is an improved version of the Talbot procedure and leads to better culvert transition surface flow prediction. The proposed method is applied to a local area in Tekirdağ City, Türkiye, where a serious train accident occurred due to a poorly maintained culvert. Full article
Show Figures

Figure 1

Figure 1
<p>Culvert’s upstream and downstream parts on a horizontal plane.</p>
Full article ">Figure 2
<p>Culvert and highway cross-sectional area.</p>
Full article ">Figure 3
<p>C<sub>2</sub> coefficient versus slope (%).</p>
Full article ">Figure 4
<p>C<sub>3</sub> coefficient versus width–length (W/L) ratio.</p>
Full article ">Figure 5
<p>Frequency (year) versus F<sub>f</sub> coefficient.</p>
Full article ">Figure 6
<p>One-way sensitivity analysis of slope of the drainage area.</p>
Full article ">Figure 7
<p>One-way sensitivity analysis of width–length (W/L) ratio.</p>
Full article ">Figure 8
<p>One-way sensitivity analysis of frequency (year).</p>
Full article ">Figure 9
<p>Culvert accident location [<a href="#B21-water-16-01972" class="html-bibr">21</a>].</p>
Full article ">Figure 10
<p>Sarılar village culvert appearance at km: 161 + 955 [<a href="#B21-water-16-01972" class="html-bibr">21</a>].</p>
Full article ">Figure 11
<p>Satellite view of the drainage basin [<a href="#B22-water-16-01972" class="html-bibr">22</a>].</p>
Full article ">Figure 12
<p>(<b>a</b>) Drainage basin area and water divide line. (<b>b</b>) Given names for the channels in the drainage basin.</p>
Full article ">Figure 13
<p>Longitudinal cross-sections along the main channel.</p>
Full article ">Figure 14
<p>Empirical relationship between Q<sub>P</sub> and V [<a href="#B15-water-16-01972" class="html-bibr">15</a>].</p>
Full article ">
16 pages, 5340 KiB  
Communication
A Low-Power High-Sensitivity Photocurrent Sensory Circuit with Capacitive Feedback Transimpedance for Photoplethysmography Sensing
by Neethu Mohan, Falah Awwad, Nabil Albastaki and Mohamed Atef
Sensors 2024, 24(13), 4097; https://doi.org/10.3390/s24134097 - 24 Jun 2024
Viewed by 521
Abstract
This study presents an integrated analog front-end (AFE) tailored for photoplethysmography (PPG) sensing. The AFE module introduces a novel transimpedance amplifier (TIA) that incorporates capacitive feedback techniques alongside common drain feedback (CDF) TIA. The unique TIA topology achieves both high gain and high [...] Read more.
This study presents an integrated analog front-end (AFE) tailored for photoplethysmography (PPG) sensing. The AFE module introduces a novel transimpedance amplifier (TIA) that incorporates capacitive feedback techniques alongside common drain feedback (CDF) TIA. The unique TIA topology achieves both high gain and high sensitivity while maintaining low power consumption. The resultant PPG sensor module demonstrates impressive specifications, including an input noise current of 4.81 pA/sqrt Hz, a transimpedance gain of 18.43 MΩ, and a power consumption of 68 µW. Furthermore, the sensory system integrates an LED driver featuring automatic light control (ALC), which dynamically adjusts the LED power based on the strength of the received signal. Employing 0.35 µm CMOS technology, the AFE implementation occupies a compact footprint of 1.98 mm × 2.475 mm. Full article
(This article belongs to the Section Electronic Sensors)
Show Figures

Figure 1

Figure 1
<p>PPG sensor block diagram.</p>
Full article ">Figure 2
<p>Analog front-end circuit for the PPG optical receiver.</p>
Full article ">Figure 3
<p>The proposed CF-CDF-TIA circuit.</p>
Full article ">Figure 4
<p>Plot showing input photocurrent vs. gain (dB).</p>
Full article ">Figure 5
<p>Simulated and calculated input-referred noise for CF-CDF-TIA.</p>
Full article ">Figure 6
<p>The automatic light control module.</p>
Full article ">Figure 7
<p>The LED driver circuit with ALC.</p>
Full article ">Figure 8
<p>The envelope detector output and the LED driver circuit current for a 20 µA input photocurrent.</p>
Full article ">Figure 9
<p>The PPG sensor layout.</p>
Full article ">Figure 10
<p>Frequency response for the proposed PPG sensory circuit for different photocurrents from 1 nA to 200 µA.</p>
Full article ">Figure 11
<p>Output PPG voltage for input photocurrents of 1 µA and 200 µA, respectively.</p>
Full article ">Figure 12
<p>Simulation showing the total harmonic distortion for input photocurrent from 1 nA to 200 µA.</p>
Full article ">Figure 13
<p>Monte–Carlo simulation for (<b>a</b>) bandwidth and (<b>b</b>) gain.</p>
Full article ">
Back to TopTop