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17 pages, 16140 KiB  
Article
An Investigation on the High-Temperature Stability and Tribological Properties of Impregnated Graphite
by Juying Zhao, Qi Xin, Yunshuang Pang, Xiao Ning, Lingcheng Kong, Guangyang Hu, Ying Liu, Haosheng Chen and Yongjian Li
Lubricants 2024, 12(11), 388; https://doi.org/10.3390/lubricants12110388 - 13 Nov 2024
Viewed by 455
Abstract
Impregnated graphite is a common material for friction pairs in aeroengine seals, especially at high temperatures. For the convenience of the application of graphite materials in aeroengines, an SRV-4 tribometer and a synchronous thermal analyzer are employed to study the tribological properties and [...] Read more.
Impregnated graphite is a common material for friction pairs in aeroengine seals, especially at high temperatures. For the convenience of the application of graphite materials in aeroengines, an SRV-4 tribometer and a synchronous thermal analyzer are employed to study the tribological properties and thermal stability of pure, resin-impregnated, metal-impregnated, and phosphate-impregnated graphite against stainless steel from room temperature to 500 °C. The results indicate that impregnations can improve the wear resistance and thermal stability of graphite at high temperatures. Compared with other impregnated graphite materials, the resin-impregnated graphite shows a good friction coefficient and poor wear rate and thermal stability over 300 °C, due to the degradation and oxidation of the resin-and-graphite matrix. The metal- and phosphate-impregnated graphite materials exhibit excellent wear resistance and thermal stability under 500 °C as a result of the protection of the impregnations, while the average friction coefficient of the metal-impregnated graphite is much greater than the phosphate-impregnated graphite, and even reaches 2.14-fold at 300 °C. The wear rates for the graphite impregnated with resin, metal, and phosphate are 235 × 10−7, 7 × 10−7, and 16 × 10−7 mm3N−1m−1 at 500 °C, respectively. Considering all aspects, the phosphate-impregnated graphite exhibits excellent tribological properties and thermal stability. Full article
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<p>Schematic diagram of friction test and test samples: (<b>a</b>) friction test and sliding directions; (<b>b</b>) stainless steel sample (left side—top view; right side—bottom view); (<b>c</b>) graphite sample.</p>
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<p>Friction coefficients of graphite materials under different working conditions. (<b>a</b>) Average friction coefficient; (<b>b</b>) pure graphite; (<b>c</b>) resin-impregnated graphite; (<b>d</b>) metal-impregnated graphite; (<b>e</b>) phosphate-impregnated graphite.</p>
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<p>The wear rates of the four graphite materials at different temperatures. (“×” indicates that the group did not undergo a friction test for safety reasons).</p>
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<p>Surface morphologies of four graphite materials under different working conditions. (The ellipsis indicates that the group has not undergone a friction test for safety reasons).</p>
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<p>Mass loss rates of different graphite materials after 5 h prolonged heating tests. (The blue arrow indicates the correlation between the weight loss percentage of the graphite and the images of the graphite samples after the tests).</p>
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<p>Test results of thermal stability for different graphite materials. (<b>a</b>) Thermogravimetric curves, (<b>b</b>) DSC curves, (<b>c</b>) FTIR curves.</p>
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<p>Normalized hardness of different graphite materials under high temperature.</p>
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<p>The SEM results of the pure graphite and resin-impregnated graphite at R.T. and 500 °C: (<b>a</b>) clean pure graphite at R.T., (<b>b</b>) worn pure graphite at R.T., (<b>c</b>) clean resin–graphite at R.T., (<b>d</b>) worn resin–graphite at R.T., (<b>e</b>) clean resin–graphite at 500 °C, (<b>f</b>) worn resin–graphite at 500 °C (400×), (<b>g</b>) worn resin–graphite at 500 °C (1000×).</p>
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<p>The SEM results of the metal-impregnated graphite at R.T. and 500 °C: (<b>a</b>) clean metal–graphite at R.T., (<b>b</b>) worn metal–graphite at R.T. (400×), (<b>c</b>) worn metal–graphite at R.T. (1000×), (<b>d</b>) clean metal–graphite at 500 °C, (<b>e</b>) worn metal–graphite at 500 °C (400×), (<b>f</b>) worn metal–graphite at 500 °C (1000×).</p>
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<p>Energy spectrum distribution of the worn area of the metal-impregnated graphite at R.T.: C (red), Sb (light green), O (dark green), Fe (light yellow), Ni (orange).</p>
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<p>Element distribution of the unworn area of metal impregnated graphite materials at 500 °C: C (red), Sb (light green), O (dark green), Fe (light yellow), Ni (orange).</p>
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<p>The SEM results of the phosphate-impregnated graphite at R.T. and 500 °C: (<b>a</b>) clean graphite at R.T., (<b>b</b>) worn graphite at R.T., (<b>c</b>) clean graphite at 500 °C, (<b>d</b>) worn graphite at 500 °C.</p>
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<p>Tribological properties of graphite materials.</p>
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35 pages, 15351 KiB  
Article
Production Simulation of Stimulated Reservoir Volume in Gas Hydrate Formation with Three-Dimensional Embedded Discrete Fracture Model
by Jianchun Xu, Yan Liu and Wei Sun
Sustainability 2024, 16(22), 9803; https://doi.org/10.3390/su16229803 - 10 Nov 2024
Viewed by 518
Abstract
Natural gas hydrates (NGHs) in the Shenhu area of the South China Sea are deposited in low-permeability clayey silt sediments. As a renewable energy source with such a low carbon emission, the exploitation and recovery rate of NGH make it difficult to meet [...] Read more.
Natural gas hydrates (NGHs) in the Shenhu area of the South China Sea are deposited in low-permeability clayey silt sediments. As a renewable energy source with such a low carbon emission, the exploitation and recovery rate of NGH make it difficult to meet industrial requirements using existing development strategies. Research into an economically rewarding method of gas hydrate development is important for sustainable energy development. Hydraulic fracturing is an effective stimulation technique to improve the fluid conductivity. In this paper, an efficient three-dimensional embedded discrete fracture model is developed to investigate the production simulation of hydraulically fractured gas hydrate reservoirs considering the stimulated reservoir volume (SRV). The proposed model is applied to a hydraulically fractured production evaluation of vertical wells, horizontal wells, and complex structural wells. To verify the feasibility of the method, three test cases are established for different well types as well as different fractures. The effects of fracture position, fracture conductivity, fracture half-length, and stimulated reservoir volume size on gas production are presented. The results show that the production enhancement in multi-stage fractured horizontal wells is obvious compared to that of vertical wells, while spiral multilateral wells are less sensitive to fractures due to the distribution of wellbore branches and perforation points. Appropriate stimulated reservoir volume size can obtain high gas production and production efficiency. Full article
(This article belongs to the Special Issue Advanced Research on Marine and Deep Oil & Gas Development)
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<p>Schematic of hydraulic fracturing-assisted hydrate development.</p>
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<p>Schematic diagram of physical model.</p>
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<p>Normalized permeability comparison chart.</p>
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<p>Schematic diagram of hydraulic fractures in EDFM simulated hydrate reservoirs.</p>
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<p>Schematic diagram of gas production curve fitting results [<a href="#B62-sustainability-16-09803" class="html-bibr">62</a>].</p>
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<p>Schematic diagram of EDFM feasibility verification case.</p>
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<p>Schematic comparison of gas production curves for the validation cases: (<b>a</b>) keep <span class="html-italic">F</span><sub>c</sub> equal while using different refinement methods, (<b>b</b>) Case 1, (<b>c</b>) Case 2, (<b>d</b>) Case 3.</p>
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<p>Comparisons of the pressure evolution characteristics of the validation cases: (<b>a</b>) Case 1 at different time; (<b>b</b>) Case 2 at different time; (<b>c</b>) Case 3 at different time.</p>
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<p>Comparisons of the temperature evolution characteristics of the validation cases: (<b>a</b>) Case 1 at different time; (<b>b</b>) Case 2 at different time; (<b>c</b>) Case 3 at different time.</p>
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<p>Comparisons of the NGH concentration evolution characteristics of the validation cases: (<b>a</b>) Case 1 at different time; (<b>b</b>) Case 2 at different time; (<b>c</b>) Case 3 at different time.</p>
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<p>Schematic diagram of different well-type perforation points (<b>a</b>) and fracture settings (<b>b</b>).</p>
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<p>Simulated production curves under different fracture locations: (<b>a</b>) cumulative gas production; (<b>b</b>) gas production rate; (<b>c</b>) cumulative water production; (<b>d</b>) water production rate.</p>
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<p>Simulated production curves under different fracture conductivity: (<b>a</b>) cumulative gas production; (<b>b</b>) gas production rate; (<b>c</b>) cumulative water production; (<b>d</b>) water production rate.</p>
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<p>Simulated production curves under different fracture half-lengths: (<b>a</b>) cumulative gas production; (<b>b</b>) gas production rate; (<b>c</b>) cumulative water production; (<b>d</b>) water production rate.</p>
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<p>Simulated production curves of horizontal well sections arranged in different layers: (<b>a</b>) cumulative gas production; (<b>b</b>) gas production rate; (<b>c</b>) cumulative water production; (<b>d</b>) water production rate.</p>
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<p>Schematic diagrams of the evolution of the pressure field with time (Unit: kPa).</p>
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<p>Schematic diagrams of the evolution of the temperature field with time (Unit: °C).</p>
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<p>Schematic diagrams of the evolution of the NGH concentration with time (Unit: gmole/m<sup>3</sup>).</p>
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<p>Simulated production curves of multi-stage fractured horizontal wells under different fracture conductivity: (<b>a</b>) cumulative gas production; (<b>b</b>) gas production rate; (<b>c</b>) cumulative water production; (<b>d</b>) water production rate.</p>
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<p>Simulated production curves of multi-stage fractured horizontal wells under different fracture half-lengths: (<b>a)</b> cumulative gas production; (<b>b</b>) gas production rate; (<b>c</b>) cumulative water production; (<b>d</b>) water production rate.</p>
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<p>Simulated production curves for a different number of fractured branches in spiral multilateral well production: (<b>a</b>) cumulative gas production; (<b>b</b>) gas production rate; (<b>c</b>) cumulative water production; (<b>d</b>) water production rate.</p>
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<p>Simulated production curves for different fracture conductivity in spiral multilateral well production: (<b>a</b>) cumulative gas production; (<b>b</b>) gas production rate; (<b>c</b>) cumulative water production; (<b>d</b>) water production rate.</p>
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<p>Simulated production curves for different fracture half-lengths in spiral multilateral well production: (<b>a</b>) cumulative gas production; (<b>b</b>) gas production rate; (<b>c</b>) cumulative water production; (<b>d</b>) water production rate.</p>
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<p>Schematic diagram of different stimulated reservoir volume size setting.</p>
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<p>Simulated production curves for different stimulated reservoir volume size in horizontal well production: (<b>a</b>) cumulative gas production; (<b>b</b>) gas production rate; (<b>c</b>) cumulative water production; (<b>d</b>) water production rate.</p>
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<p>Physical field evolution for different stimulated reservoir volume size in horizontal well.</p>
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21 pages, 12004 KiB  
Article
Multi-Task Learning Network-Based Prediction of Hydraulic Fracturing Effects in Horizontal Wells Within the Ordos Yanchang Formation Tight Reservoir
by Pingtian Fan, Hai Yuan, Xiankun Song, Xiaowen Yang, Zhenyu Song, Ping Li, Ziyu Lin, Maozong Gan and Yuetian Liu
Processes 2024, 12(10), 2279; https://doi.org/10.3390/pr12102279 - 18 Oct 2024
Viewed by 547
Abstract
Accurate prediction of fracture volume and morphology in horizontal wells is essential for optimizing reservoir development. Traditional methods struggle to capture the intricate relationships between fracturing effects, geological variables, and operational factors, leading to reduced prediction accuracy. To address these limitations, this paper [...] Read more.
Accurate prediction of fracture volume and morphology in horizontal wells is essential for optimizing reservoir development. Traditional methods struggle to capture the intricate relationships between fracturing effects, geological variables, and operational factors, leading to reduced prediction accuracy. To address these limitations, this paper introduces a multi-task prediction model designed to forecast fracturing outcomes. The model is based on a comprehensive dataset derived from fracturing simulations within the Long 4 + 5 and Long 6 reservoirs, incorporating both operational and geological factors. Pearson correlation analysis was conducted to assess the relationships between these factors, ranking them according to their influence on fracturing performance. The results reveal that operational variables predominantly affect Stimulated Reservoir Volume (SRV), while geological variables exert a stronger influence on fracture morphology. Key operational parameters impacting fracturing performance include fracturing fluid volume, total fluid volume, pre-fluid volume, construction displacement, fracturing fluid viscosity, and sand ratio. Geological factors affecting fracture morphology include vertical stress, minimum horizontal principal stress, maximum horizontal principal stress, and layer thickness. A multi-task prediction model was developed using random forest (RF) and particle swarm optimization (PSO) methodologies. The model independently predicts SRV and fracture morphology, achieving an R2 value of 0.981 for fracture volume predictions, with an average error reduced to 1.644%. Additionally, the model’s fracture morphology classification accuracy reaches 93.36%, outperforming alternative models and demonstrating strong predictive capabilities. This model offers a valuable tool for improving the precision of fracturing effect predictions, making it a critical asset for reservoir development optimization. Full article
(This article belongs to the Section Energy Systems)
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<p>Multi−task learning flow chart of horizontal well fracturing effect prediction.</p>
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<p>Simplified schematic diagram of two types of crack shapes: (<b>a</b>) vertical crack and (<b>b</b>) horizontal crack.</p>
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<p>Simulation results of horizontal well fracturing.</p>
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<p>Comparison between simulated fracturing value and measured fracture value of L1 horizontal well.</p>
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<p>Pearson correlation coefficient heat map of data set.</p>
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<p>Clustering results of elbow method.</p>
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<p>Influence degree of random forest algorithm parameters on results.</p>
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<p>Feature importance distribution.</p>
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<p>Flowchart of PSO–RF algorithm.</p>
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<p>PSO–RF iterative process.</p>
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<p>Comparison between real and predicted values of SRV and fracture morphology: (<b>a</b>) RF training set; (<b>b</b>) RF test set; (<b>c</b>) PSO–RF training set; and (<b>d</b>) PSO–RF test set.</p>
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<p>SRV training set and test set error before and after optimization.</p>
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<p>Comparison between the real value and the predicted value of fracture morphology: (<b>a</b>) training set comparison and (<b>b</b>) test set comparison.</p>
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<p>Comparison of confusion matrix before and after optimization: (<b>a</b>) <span class="html-italic">RF</span> and (<b>b</b>) <span class="html-italic">PSO–RF.</span></p>
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<p>Comparison of predictions of various algorithms.</p>
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12 pages, 1772 KiB  
Article
The Sub-Pulmonary Left Ventricle in Patients with Systemic Right Ventricle, the Paradoxical Neglected Chamber: A Cardiac Magnetic Resonance Feature Tracking Study
by Sofia Piana, Alice Pozza, Annachiara Cavaliere, Anna Molinaroli, Irene Cattapan, Jennifer Fumanelli, Martina Avesani, Elena Reffo and Giovanni Di Salvo
J. Clin. Med. 2024, 13(20), 6033; https://doi.org/10.3390/jcm13206033 - 10 Oct 2024
Viewed by 940
Abstract
Background/Objective: The impact of subpulmonary left ventricle (LV) dysfunction in patients with a systemic right ventricle (SRV) is insufficiently characterized, with only a few studies suggesting its prognostic significance. Additionally, its evaluation through imaging techniques is a challenge. To assess the correlation [...] Read more.
Background/Objective: The impact of subpulmonary left ventricle (LV) dysfunction in patients with a systemic right ventricle (SRV) is insufficiently characterized, with only a few studies suggesting its prognostic significance. Additionally, its evaluation through imaging techniques is a challenge. To assess the correlation between quantitative cardiac magnetic resonance-feature tracking (CMR-FT) data and the risk of clinical events related to the natural history of SRV failure. Methods: In this cross-sectional study, 21 patients with a diagnosis of transposition of the great arteries (TGA) and atrial switch operation (AtSO) or congenitally corrected transposition (ccTGA) were recruited. All participants underwent CMR-FT analysis. Considered clinical events included NYHA class deterioration (from I-II to III-IV), increased diuretic therapy, arrhythmias, sudden cardiac death, and hospitalizations. Results: The cohort consisted of 52.4% males (mean age: 25.4 ± 11.9 years). Eleven patients were diagnosed with ccTGA. Of the 10 patients with TGA post-AtSO, 50% had undergone Mustard repair. Clinical events occurred in 11 patients, with 47.6% experiencing hospitalizations and 28.6% developing arrhythmias. Left ventricular global longitudinal strain (LV GLS) was significantly associated with event-risk in both univariate and multivariate analyses (p = 0.011; p = 0.025). A cut-off value of LV GLS > −19.24 was proposed to stratify high-risk patients (p = 0.001). Conclusions: Our study confirms the role of subpulmonary LV function in determining outcomes of SRV patients. The assessment of LV GLS by using CMR-FT could significantly enhance clinical management during follow-up. Full article
(This article belongs to the Special Issue What We See through Cardiac Imaging)
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<p>Quantification of the volumes of the sub-pulmonary left ventricle (<b>a</b>) and systemic right ventricle (<b>b</b>). Calculation of end-diastolic volumes (EDV) and myocardial mass in short axis view (SA BTFE). Trabeculae and papillary muscles were excluded from the calculation. Green line: endocardial border LV; Yellow line: epicardial border LV; Orange line: endocardial border sRV; Blue line: epicardial border sRV.</p>
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<p>(<b>a</b>) LV GLS measurement obtained from a 4C BTFE view is presented for a patient who has undergone AtSO, along with the corresponding strain curve. This patient experienced clinical events: atrial flutter and subsequent hospitalization. (<b>b</b>) LV GLS measurement obtained from a 4C BTFE view is presented for a with ccTGA, along with the corresponding strain curve. The patient did not experience clinical events. In both figures (<b>a</b>,<b>b</b>), the curve representing the mean LV GLS value is depicted in white. The analysis included the average peak strain value of all curves.</p>
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<p>(<b>a</b>) LV GLS ROC curve; (<b>b</b>) LV GLS interactive dot diagram: the values above the horizontal line are suggested to be associated with a higher risk of clinical events.</p>
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27 pages, 46094 KiB  
Article
Study on Hydraulic Fracture Propagation in Mixed Fine-Grained Sedimentary Rocks and Practice of Volumetric Fracturing Stimulation Techniques
by Hong Mao, Yinghao Shen, Yao Yuan, Kunyu Wu, Lin Xie, Jianhong Huang, Haoting Xing and Youyu Wan
Processes 2024, 12(9), 2030; https://doi.org/10.3390/pr12092030 - 20 Sep 2024
Viewed by 545
Abstract
Yingxiongling shale oil is considered a critical area for future crude oil production in the Qaidam Basin. However, the unique features of the Yingxiongling area, such as extraordinary thickness, hybrid sedimentary, and extensive reformation, are faced with several challenges, including an unclear understanding [...] Read more.
Yingxiongling shale oil is considered a critical area for future crude oil production in the Qaidam Basin. However, the unique features of the Yingxiongling area, such as extraordinary thickness, hybrid sedimentary, and extensive reformation, are faced with several challenges, including an unclear understanding of the main controlling factors for hydraulic fracturing propagation, difficulties in selecting engineering sweet layers, and difficulties in optimizing the corresponding fracturing schemes, which restrict the effective development of production. This study focuses on mixed fine-grained sedimentary rocks, employing a high-resolution integrated three-dimensional geological-geomechanical model to simulate fracture propagation. By combining laboratory core experiments, a holistic investigation of the controlling factors was conducted, revealing that hydraulic fracture propagation in mixed fine-grained sedimentary rocks is mainly influenced by rock brittleness, natural fractures, stress, varying lithologies, and fracturing parameters. A comprehensive compressibility evaluation standard was established, considering brittleness, stress contrast, and natural fracture density, with weights of 0.3, 0.23, and 0.47. In light of the high brittleness, substantial interlayer stress differences, and localized developing natural microfractures in the Yingxiongling mixed fine-grained sedimentary rock reservoir, this study examined the influence of various construction parameters on the propagation of hydraulic fractures and optimized these parameters accordingly. Based on the practical application in the field, a “three-stage” stimulation strategy was proposed, which involves using high-viscosity fluid in the front to create the main fracture, low-viscosity fluid with sand-laden slugs to create volume fractures, and continuous high-viscosity fluid carried sand to maintain the conductivity of the fracture network. The resulting oil and gas seepage area corresponding to the stimulated reservoir volume (SRV) matched the actual well spacing of 500 m, achieving the effect of full utilization. The understanding of the controlling factors for fracture expansion, the compressibility evaluation standard, and the main process technology developed in this study effectively guide the optimization of transformation programs for mixed fine-grained sedimentary rocks. Full article
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<p>Interpretation of well chai13 logging data.</p>
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<p>3D geological-geomechanical model.</p>
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<p>Influence of brittle nature on the hydraulic fracture propagation mechanism.</p>
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<p>Analysis of the correlation between brittleness index and average daily fluid production.</p>
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<p>The impact of stress differences on the hydraulic fracture expansion patterns.</p>
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<p>Correlation analysis between stress difference coefficient and average daily fluid production.</p>
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<p>Correlation analysis between stress anisotropy coefficient and fracture propagation.</p>
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<p>Influence of natural fracture lengths on hydraulic fracturing.</p>
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<p>Influence of natural fracture lengths on hydraulic fracturing.</p>
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<p>Correlation analysis of microfracture development index with average daily fluid production.</p>
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<p>Stress–strain curves of different lithologies in the Yingxiongling shale oil formation.</p>
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<p>Correlation analysis of compressibility index and average daily fluid production.</p>
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<p>Stimulated volume of hydraulic fracture extension under different pumping rates.</p>
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<p>Impact of cluster spacing on hydraulic fracture expansion.</p>
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<p>Hydraulic fracture propagation patterns at different proppant loading.</p>
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<p>Comparison of hydraulic fracture propagation rules under different fluid pumping rates.</p>
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<p>Segmented and clustered approach based on comprehensive quality assessment.</p>
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<p>Analysis of typical well pressure fracturing curves.</p>
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<p>Distribution of attributes of oil and gas seepage areas and characterization of volume fracture network on the YY2H platform.</p>
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<p>Production curve of the YY2H Platform.</p>
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12 pages, 915 KiB  
Article
Exercise Intolerance Is Associated with Cardiovascular Dysfunction in Long COVID-19 Syndrome
by Angelos Vontetsianos, Nikolaos Chynkiamis, Maria Ioanna Gounaridi, Christina Anagnostopoulou, Christiana Lekka, Stavroula Zaneli, Nektarios Anagnostopoulos, Evangelos Oikonomou, Manolis Vavuranakis, Nikoletta Rovina, Andriana I. Papaioannou, Georgios Kaltsakas, Nikolaos Koulouris and Ioannis Vogiatzis
J. Clin. Med. 2024, 13(14), 4144; https://doi.org/10.3390/jcm13144144 - 16 Jul 2024
Viewed by 1856
Abstract
Background/Objectives: Cardiorespiratory complications are commonly reported among patients with long COVID-19 syndrome. However, their effects on exercise capacity remain inconclusive. We investigated the impact of long COVID-19 on exercise tolerance combining cardiopulmonary exercise testing (CPET) with resting echocardiographic data. Methods: Forty-two patients (55 [...] Read more.
Background/Objectives: Cardiorespiratory complications are commonly reported among patients with long COVID-19 syndrome. However, their effects on exercise capacity remain inconclusive. We investigated the impact of long COVID-19 on exercise tolerance combining cardiopulmonary exercise testing (CPET) with resting echocardiographic data. Methods: Forty-two patients (55 ± 13 years), 149 ± 92 days post-hospital discharge, and ten healthy age-matched participants underwent resting echocardiography and an incremental CPET to the limit of tolerance. Left ventricular global longitudinal strain (LV-GLS) and the left ventricular ejection fraction (LVEF) were calculated to assess left ventricular systolic function. The E/e’ ratio was estimated as a surrogate of left ventricular end-diastolic filling pressures. Tricuspid annular systolic velocity (SRV) was used to assess right ventricular systolic performance. Through tricuspid regurgitation velocity and inferior vena cava diameter, end-respiratory variations in systolic pulmonary artery pressure (PASP) were estimated. Peak work rate (WRpeak) and peak oxygen uptake (VO2peak) were measured via a ramp incremental symptom-limited CPET. Results: Compared to healthy participants, patients had a significantly (p < 0.05) lower LVEF (59 ± 4% versus 49 ± 5%) and greater left ventricular end-diastolic diameter (48 ± 2 versus 54 ± 5 cm). In patients, there was a significant association of E/e’ with WRpeak (r = −0.325) and VO2peak (r = −0.341). SRV was significantly associated with WRpeak (r = 0.432) and VO2peak (r = 0.556). LV-GLS and PASP were significantly correlated with VO2peak (r = −0.358 and r = −0.345, respectively). Conclusions: In patients with long COVID-19 syndrome, exercise intolerance is associated with left ventricular diastolic performance, left ventricular end-diastolic pressure, PASP and SRV. These findings highlight the interrelationship of exercise intolerance with left and right ventricular performance in long COVID-19 syndrome. Full article
(This article belongs to the Section Cardiovascular Medicine)
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<p>Study flowchart. Following the initial screening, 42 patients and 10 healthy age-matched individuals underwent cardiopulmonary exercise testing (CPET) and resting echocardiography. All participants were included in the final analysis.</p>
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<p>Association between (<b>a</b>) pulmonary artery systolic pressure (PASP) and peak work rate (WR), (<b>b</b>) PASP and peak oxygen consumption (VO<sub>2</sub>), (<b>c</b>) tricuspid annular systolic velocity (SRV) and WR and (<b>d</b>) SRV and VO<sub>2</sub>.</p>
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<p>Association between (<b>a</b>) trans-mitral flow velocity/early mitral annular velocity (E/e’) and peak work rate (WR), (<b>b</b>) E/e’ and peak oxygen consumption (VO<sub>2</sub>), (<b>c</b>) left ventricular global longitudinal strain (LV-GLS) and WR and (<b>d</b>) LV-GLS and VO<sub>2.</sub></p>
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21 pages, 4187 KiB  
Article
Analysis of Factors Influencing Three-Dimensional Multi-Cluster Hydraulic Fracturing Considering Interlayer Effect
by Xin Zhou, Xiangjun Liu and Lixi Liang
Appl. Sci. 2024, 14(12), 5330; https://doi.org/10.3390/app14125330 - 20 Jun 2024
Viewed by 683
Abstract
This study establishes a three-dimensional cohesive model of multi-cluster hydraulic fracturing using finite element method (FEM). It fully considers the interaction between the interlayer and the reservoir and analyzes the key factors influencing fracture propagation. The results show that during the initial stage [...] Read more.
This study establishes a three-dimensional cohesive model of multi-cluster hydraulic fracturing using finite element method (FEM). It fully considers the interaction between the interlayer and the reservoir and analyzes the key factors influencing fracture propagation. The results show that during the initial stage of hydraulic fracturing, the width of the edge fracture is greater than that of the mid fracture, while the situation is reversed for the fracture length. A larger cluster spacing leads to less interaction between fractures, while a greater number of clusters increases the interaction between fractures. With an increase in displacement, the lost fracturing fluid entering the formation enhances the interaction between fractures. An increase in elastic modulus results in a decrease in the width and height of edge fractures but an increase in their length, with little impact on mid fractures. As Poisson’s ratio increases, there is little change in the fracture morphology of edge fractures, while the width and height of mid fractures increase significantly. With an increase in permeability, the influx of fracturing fluid into the interlayer decreases, leading to a reduction in the interaction between fractures. Finally, the study analyzes and discusses the impact of these parameters on the SRV (stimulated reservoir volume) in both the reservoir and the interlayer. These findings provide new insights for hydraulic fracturing and contribute to improving its productivity. Full article
(This article belongs to the Topic Enhanced Oil Recovery Technologies, 3rd Volume)
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<p>Pore flow pattern.</p>
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<p>Three-dimensional model establishment. (<b>a</b>) A multi-cluster three-dimensional hydraulic fracturing model. (<b>b</b>) A schematic diagram showing the side view of the model and stress loading.</p>
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<p>Comparison of simulated results for a single crack with PKN calculations. (<b>a</b>) The variation in fracture width with time. (<b>b</b>) The variation in fracture length with time.</p>
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<p>The expansion of fractures at different time points (left—edge fracture, right—mid fracture).</p>
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<p>Shows the curve of pore pressure variation at the injection point during fracture propagation. (<b>a</b>) The variation in pore pressure at the injection point of the edge fracture. (<b>b</b>) The variation in pore pressure at the injection point of the mid fracture.</p>
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<p>Illustration of the relationship between fracture width and height. (<b>a</b>) Relationship between width and height of the edge fracture. (<b>b</b>) Relationship between width and height of the mid fracture.</p>
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<p>Illustration of the relationship between fracture width and half-length. (<b>a</b>) Relationship between width and half-length of the edge fracture. (<b>b</b>) Relationship between width and half-length of the mid fracture.</p>
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<p>Illustration of the relationship between fracture width and height. (<b>a</b>) Relationship between width and height of the edge fracture. (<b>b</b>) Relationship between width and height of the mid fracture.</p>
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<p>Illustration of the relationship between fracture width and half-length. (<b>a</b>) Relationship between width and half-length of the edge fracture. (<b>b</b>) Relationship between width and half-length of the mid fracture.</p>
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<p>Illustration of the relationship between fracture width and height. (<b>a</b>) Relationship between width and height of the edge fracture. (<b>b</b>) Relationship between width and height of the mid fracture.</p>
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<p>Illustration of the relationship between fracture width and half-length. (<b>a</b>) Relationship between width and half-length of the edge fracture. (<b>b</b>) Relationship between width and half-length of the mid fracture.</p>
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<p>Illustration of the relationship between fracture width and height. (<b>a</b>) Relationship between width and height of the edge fracture. (<b>b</b>) Relationship between width and height of the mid fracture.</p>
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<p>Illustration of the relationship between fracture width and half-length. (<b>a</b>) Relationship between width and half-length of the edge fracture. (<b>b</b>) Relationship between width and half-length of the mid fracture.</p>
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<p>Illustration of the relationship between fracture width and height. (<b>a</b>) Relationship between width and height of the edge fracture. (<b>b</b>) Relationship between width and height of the mid fracture.</p>
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<p>Illustration of the relationship between fracture width and half-length. (<b>a</b>) Relationship between width and half-length of the edge fracture. (<b>b</b>) Relationship between width and half-length of the mid fracture.</p>
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<p>Illustration of the relationship between fracture width and height. (<b>a</b>) Relationship between width and height of the edge fracture. (<b>b</b>) Relationship between width and height of the mid fracture.</p>
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<p>Illustration of the relationship between fracture width and half-length. (<b>a</b>) Relationship between width and half-length of the edge fracture. (<b>b</b>) Relationship between width and half-length of the mid fracture.</p>
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<p>Shows the impact curves of various factors on the SRV (stimulated reservoir volume) of the interlayer/reservoir. Panels (<b>a</b>–<b>f</b>) represent the effects of different cluster spacing, cluster count, displacement, elastic modulus, Poisson’s ratio, and permeability on the SRV of the reservoir and interlayer.</p>
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<p>Shows the impact curves of various factors on the SRV (stimulated reservoir volume) of the interlayer/reservoir. Panels (<b>a</b>–<b>f</b>) represent the effects of different cluster spacing, cluster count, displacement, elastic modulus, Poisson’s ratio, and permeability on the SRV of the reservoir and interlayer.</p>
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10 pages, 2638 KiB  
Article
Reduced Graphene Oxide-Supported SrV4O9 Microflowers with Enhanced Electrochemical Performance for Sodium-Ion Batteries
by Guangming Li, Yifan Li, Yi Zhang, Shuguo Lei, Jiwei Hou, Huiling Lu and Baizeng Fang
Molecules 2024, 29(11), 2704; https://doi.org/10.3390/molecules29112704 - 6 Jun 2024
Viewed by 928
Abstract
Sodium-ion batteries (SIBs) have received considerable attention in recent years. Anode material is one of the key factors that determine SIBs’ electrochemical performance. Current commercial hard carbon anode shows poor rate performance, which greatly limits applications of SIBs. In this study, a novel [...] Read more.
Sodium-ion batteries (SIBs) have received considerable attention in recent years. Anode material is one of the key factors that determine SIBs’ electrochemical performance. Current commercial hard carbon anode shows poor rate performance, which greatly limits applications of SIBs. In this study, a novel vanadium-based material, SrV4O9, was proposed as an anode for SIBs, and its Na+ storage properties were studied for the first time. To enhance the electrical conductivity of SrV4O9 material, a microflower structure was designed and reduced graphene oxide (rGO) was introduced as a host to support SrV4O9 microflowers. The microflower structure effectively reduced electron diffusion distance, thus enhancing the electrical conductivity of the SrV4O9 material. The rGO showed excellent flexibility and electrical conductivity, which effectively improved the cycling life and rate performance of the SrV4O9 composite material. As a result, the SrV4O9@rGO composite showed excellent electrochemical performance (a stable capacity of 273.4 mAh g−1 after 200 cycles at 0.2 A g−1 and a high capacity of 120.4 mAh g−1 at 10.0 A g−1), indicating that SrV4O9@rGO composite can be an ideal anode material for SIBs. Full article
(This article belongs to the Special Issue Battery Chemistry: Recent Advances and Future Opportunities)
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<p>The preparation scheme for SrV<sub>4</sub>O<sub>9</sub> and the SrV<sub>4</sub>O<sub>9</sub>@rGO composite.</p>
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<p>(<b>a</b>) XRD pattern of the SrV<sub>4</sub>O<sub>9</sub>@rGO composite. (<b>b</b>) Raman spectra of SrV<sub>4</sub>O<sub>9</sub> and SrV<sub>4</sub>O<sub>9</sub>@rGO. (<b>c</b>) N<sub>2</sub> adsorption–desorption isotherms of SrV<sub>4</sub>O<sub>9</sub>@rGO. (<b>d</b>) Pore size distribution of SrV<sub>4</sub>O<sub>9</sub>@rGO.</p>
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<p>(<b>a</b>–<b>d</b>) SEM images of the SrV<sub>4</sub>O<sub>9</sub>@rGO composite. (<b>e</b>,<b>f</b>) TEM images of the SrV<sub>4</sub>O<sub>9</sub>@rGO composite. (<b>g</b>–<b>j</b>) EDS elemental mapping of Sr, V, O, and C.</p>
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<p>(<b>a</b>) The XPS survey spectrum of the SrV<sub>4</sub>O<sub>9</sub>@rGO composite. (<b>b</b>) The high-resolution spectrum of Sr 3d. (<b>c</b>) The high-resolution spectrum of V 2p. (<b>d</b>) The high-resolution spectrum of O 1s. (<b>e</b>) The high-resolution spectrum of C 1s.</p>
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<p>(<b>a</b>) CV curves of the SrV<sub>4</sub>O<sub>9</sub>-based electrode for the initial three cycles between 0.01 and 3.0 V at a scan rate of 0.1 mV s<sup>−1</sup>. (<b>b</b>) CV curves of SrV<sub>4</sub>O<sub>9</sub>@rGO-based electrodes for the initial three cycles between 0.01 and 3.0 V at a scan rate of 0.1 mV s<sup>−1</sup>. (<b>c</b>) Cycling performance of the SrV<sub>4</sub>O<sub>9</sub>-based electrode and the SrV<sub>4</sub>O<sub>9</sub>@rGO-based electrode at 0.2 A g<sup>−1</sup>. (<b>d</b>) Voltage profiles of the SrV<sub>4</sub>O<sub>9</sub>@rGO-based electrode at 0.2 A g<sup>−1</sup>. (<b>e</b>) Rate performance of the SrV<sub>4</sub>O<sub>9</sub>-based electrode and the SrV<sub>4</sub>O<sub>9</sub>@rGO-based electrode. (<b>f</b>) Schematic illustration of the reaction mechanism of the SrV<sub>4</sub>O<sub>9</sub>@rGO-based electrode.</p>
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17 pages, 3118 KiB  
Article
Occurrence, Impact, and Multilocus Sequence Analysis of Alder Yellows Phytoplasma Infecting Common Alder and Italian Alder in Southern Italy
by Carmine Marcone, Roberto Pierro and Carmine Palmieri
Microorganisms 2024, 12(6), 1140; https://doi.org/10.3390/microorganisms12061140 - 4 Jun 2024
Viewed by 735
Abstract
Alder yellows (ALY) phytoplasma (16SrV-C) is associated with ALY, a disease of several Alnus (alder) species in Europe and A. rubra in North America. In all affected species, the symptoms are similar. However, latent infections are common. ALY phytoplasma includes different strains which [...] Read more.
Alder yellows (ALY) phytoplasma (16SrV-C) is associated with ALY, a disease of several Alnus (alder) species in Europe and A. rubra in North America. In all affected species, the symptoms are similar. However, latent infections are common. ALY phytoplasma includes different strains which may be occasionally transmitted to grapevines leading to some grapevine yellows diseases. In the current study, visual symptom assessment and PCR-based methods using universal and group-specific phytoplasma primers were used to update and extend knowledge on the occurrence, impact, and genetic diversity of ALY phytoplasma in declining and non-symptomatic A. glutinosa and A. cordata trees in the Basilicata and Campania regions of southern Italy. ALY phytoplasma was detected in 80% of alder trees examined. In symptomatic trees, no other cause of disease was observed. More than half of alder trees that tested phytoplasma-positive proved to be latently infected. A considerable genetic variability was observed among the newly recorded ALY phytoplasma strains in southern Italy in almost of the genes examined. These included 16S rRNA, 16S/23S rDNA spacer region, ribosomal protein rpsV (rpl22) and rpsC (rps3), map, imp, and groEL genes. Eleven new genotypes were identified at map gene sequence level. However, the genetic differences observed were not related to plant host species, geographical origin, and symptoms shown by infected alder trees. Also, this study indicates that ALY phytoplasma is more widespread than previously thought. Full article
(This article belongs to the Section Plant Microbe Interactions)
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<p>Locations of sampling in the Campania (<b>left</b>) and Basilicata (<b>right</b>) regions of southern Italy. Maps were generated with d-maps.com <a href="https://d-maps.com/pays.php?num_pay=397&amp;num_pag=1&amp;lang=en" target="_blank">https://d-maps.com/pays.php?num_pay=397&amp;num_pag=1&amp;lang=en</a> (accessed on 12 May 2024). Individual maps were assembled and labeled with the software program Photoshop CS3 (<a href="http://www.adobe.com" target="_blank">www.adobe.com</a> (accessed on 12 May 2024)).</p>
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<p>Diseased <span class="html-italic">Alnus glutinosa</span> (common alder) trees associated with alder yellows phytoplasma infections. (<b>a</b>) Trees showing foliar yellowing and decline (center). Healthy-looking trees are on both sides. (<b>b</b>) Branches with severe yellowing, small leaves, and sparse foliage. (<b>c</b>) Trees showing yellowing, decline, and stunted branches. Healthy-looking tree on the left. (<b>d</b>) Young trees with sparse foliage, premature autumn coloration, premature defoliation, and slender shoots. (<b>e</b>–<b>g</b>) Shoot proliferation at the base of trunk of several-year-old trees.</p>
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<p>(<b>a</b>) <span class="html-italic">Taq</span>I and (<b>b</b>) <span class="html-italic">Bfa</span>I actual restriction profiles of rDNA P1A/P7A fragments from alder yellows (ALY) phytoplasma strains and other 16SrV group phytoplasmas. EY, elm yellows (strain EY1); FD-D, flavescence dorée (subgroup 16SrV-D); FD-C, flavescence dorée (subgroup 16SrV-C); RUS, rubus stunt; ALY, alder yellows; ALY2451 and ALY2455, newly recorded ALY phytoplasma strains in southern Italy. The gel was photographed with the ImageQuant LAS 4000 system, version 1.2 (<a href="http://www.gelifesciences.com" target="_blank">www.gelifesciences.com</a> (accessed on 12 May 2024)) and cropped with Photoshop CS3 (<a href="http://www.adobe.com" target="_blank">www.adobe.com</a> (accessed on 12 May 2024)).</p>
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<p>Phylogenetic tree constructed using the neighbor-joining method software MEGA, version XI (<a href="http://www.megasoftware.net" target="_blank">www.megasoftware.net</a> (accessed on 12 May 2024)) [<a href="#B55-microorganisms-12-01140" class="html-bibr">55</a>] with <span class="html-italic">imp</span> (<b>a</b>) and <span class="html-italic">groEL</span> (<b>b</b>) gene sequences from newly detected ALY phytoplasma strains from southern Italy (in bold type), ALY strains previously detected in alder, and a number of reference phytoplasmas. Napier grass stunt (NGS) phytoplasma strain UG20 (<b>a</b>) and aster yellows phytoplasma strain ORN (<b>b</b>) were used as the outgroups. Bar represents a phylogenetic distance of 0.05 nucleotide substitutions for site. GenBank accession number is given for each phytoplasma. Bootstrap values are shown on branches of the phylogenetic trees.</p>
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20 pages, 5635 KiB  
Article
Practical Evaluation of Ionic Liquids for Application as Lubricants in Cleanrooms and under Vacuum Conditions
by Andreas Keller, Knud-Ole Karlson, Markus Grebe, Fabian Schüler, Christian Goehringer and Alexander Epp
Lubricants 2024, 12(6), 194; https://doi.org/10.3390/lubricants12060194 - 28 May 2024
Viewed by 872
Abstract
As part of a publicly funded cooperation project, novel high-performance lubricants (oils, greases, assembly pastes) based on ionic liquids and with the addition of specific micro- or nanoparticles are to be developed, which are adapted in their formulation for use in applications where [...] Read more.
As part of a publicly funded cooperation project, novel high-performance lubricants (oils, greases, assembly pastes) based on ionic liquids and with the addition of specific micro- or nanoparticles are to be developed, which are adapted in their formulation for use in applications where their negligible vapor pressure plays an important role. These lubricants are urgently needed for applications in cleanrooms and high vacuum (e.g., pharmaceuticals, aerospace, chip manufacturing), especially when the frequently used perfluoropolyethers (PFPE) are no longer available due to a potential restriction of per- and polyfluoroalkyl substances (PFAS) due to European chemical legislation. Until now, there has been a lack of suitable laboratory testing technology to develop such innovative lubricants for extreme niche applications economically. There is a large gap in the tribological test chain between model testing, for example in the so-called spiral orbit tribometer (SOT) or ball-on-disk test in a high-frequency, linear-oscillation test machine (SRV-Tribometer from German “Schwing-Reib-Verschleiß-Tribometer”), and overall component testing at major space agencies (ESA—European Space Agency, NASA—National Aeronautics and Space Administration) or their service providers like the European Space Tribology Laboratory (ESTL) in Manchester. A further aim of the project was therefore to develop an application-orientated and economical testing methodology and testing technology for the scientifically precise evaluation and verifiability of the effect of ionic liquids on tribological systems in cleanrooms and under high vacuum conditions. The newly developed test rig is the focus of this publication. It forms the basis for all further investigations. Full article
(This article belongs to the Special Issue Tribology in Germany: Latest Research and Development)
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<p>Setup spiral orbit tribometer (SOT) [<a href="#B8-lubricants-12-00194" class="html-bibr">8</a>].</p>
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<p>Chemical structure of the investigated ILs.</p>
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<p>Coefficients of friction in the SRV test acc. DIN 51834-2.</p>
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<p>Maximum contact pressure reached in the SRV load progression test acc. ASTM D7421.</p>
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<p>Wear patterns after the ASTM-D7421-1 test: (<b>A</b>) IL7, (<b>B</b>) IL9, (<b>C</b>) Castrol Edge 5W30, (<b>D</b>) Fomblin Z25.</p>
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<p>MTM setup.</p>
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<p>Comparison of Stribeck curve evolution depending on the lubricant.</p>
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<p>Comparison of Stribeck curve evolution depending on the lubricant.</p>
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<p>Comparison of wear tracks for (<b>left</b>) Fomblin Z25; (<b>right</b>) IL 7.</p>
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<p>Observed structure–property relationships for investigated IL candidates.</p>
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<p>Test cartridge with the individually testable design elements.</p>
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<p>Test chamber of the new vacuum tribometer with pumps and motor (<b>left</b>: CAD model, <b>right</b>: real test rig).</p>
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<p>User-friendly (German-speaking) GUI of the new test rig (control part of the screen).</p>
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<p>Overview of measurement signals of the first tests with Braycote 601 EF (Automated evaluation in German language).</p>
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16 pages, 11059 KiB  
Article
Effect of Post-Plasma Nitrocarburized Treatment on Mechanical Properties of Carburized and Quenched 18Cr2Ni4WA Steel
by Dazhen Fang, Jinpeng Lu, Haichun Dou, Zelong Zhou, Jiwen Yan, Yang Li and Yongyong He
Lubricants 2024, 12(5), 153; https://doi.org/10.3390/lubricants12050153 - 28 Apr 2024
Cited by 1 | Viewed by 1158
Abstract
Under extreme conditions such as high speed and heavy load, 18Cr2Ni4WA steel cannot meet the service requirements even after carburizing and quenching processes. In order to obtain better surface mechanical properties and tribological property, a hollow cathode ion source diffusion strengthening device was [...] Read more.
Under extreme conditions such as high speed and heavy load, 18Cr2Ni4WA steel cannot meet the service requirements even after carburizing and quenching processes. In order to obtain better surface mechanical properties and tribological property, a hollow cathode ion source diffusion strengthening device was used to nitride the traditional carburizing and quenching samples. Unlike traditional ion carbonitriding technology, the low-temperature ion carbonitriding technology used in this article can increase the surface hardness of the material by 50% after 3 h of treatment, from the original 600 HV0.1 to 900 HV0.1, while the core hardness only decreases by less than 20%. The effect of post-ion carbonitriding treatment on mechanical properties and tribological properties of the carburized and quenched 18Cr2Ni4WA steel was investigated. Samples in different treatment are characterized using optical microscopy (OM), scanning electron microscopy (SEM), optimal SRV-4 high temperature tribotester, as well as Vickers hardness tester. Under two conditions of 6N light load and 60 N heavy load, compared with untreated samples, the wear rate of ion carbonitriding samples decreased by more than 99%, while the friction coefficient remained basically unchanged. Furthermore, the careful selection of ion nitrocarburizing and carburizing tempering temperatures in this study has been shown to significantly enhance surface hardness and wear resistance, while preserving the overall hardness of the carburized sample. The present study demonstrates the potential of ion carbonitriding technology as a viable post-treatment method for carburized gears. Full article
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<p>Process schematic of a heat-treating process for 18Cr2Ni4WA steel.</p>
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<p>Surface microhardness of carburized and quenched samples with eight different tempering temperatures.</p>
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<p>Microhardness gradient of carburized and quenched samples with eight different tempering temperatures.</p>
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<p>SEM image of carburized quenching cross-section, about 100 u from the surface, with tempering temperatures corresponding to (<b>a</b>–<b>h</b>) being 220 °C, 280 °C, 340 °C, 380 °C, 400 °C, 420 °C, 440 °C, and 510 °C, respectively.</p>
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<p>Surface hardness of samples before and after ion nitrocarburized at different tempering temperatures.</p>
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<p>Hardness gradient of 360 °C tempered samples at different diffusion temperatures.</p>
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<p>Hardness gradient of 380 °C tempered samples at different diffusion temperatures.</p>
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<p>(<b>a</b>,<b>c</b>) Electron microscopy images of sample #6 and #6-2 cross-sections, respectively. (<b>b</b>,<b>d</b>) Spectra and chemical element composition of the white boxed areas in (<b>a</b>,<b>c</b>), respectively.</p>
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<p>The variation of friction coefficient with friction time under 6 N load and oil lubrication condition.</p>
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<p>The variation of friction coefficient with friction time under 60 N load and oil lubrication condition.</p>
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<p>Three-dimensional white light interference images of surface scratches of different treated samples under 6 N load. The measurement results of the width and depth of the scratches are shown below the image.</p>
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<p>The surface wear rate of different treated specimens under 6 N load.</p>
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<p>Three-dimensional white light interference images of surface scratches of different treated samples under 60 N load. The measurement results of the width and depth of the scratches are shown below the image.</p>
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<p>Surface wear rate of different treated specimens under 60 N load.</p>
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17 pages, 429 KiB  
Article
SUDC: Synchronous Update with the Division and Combination of SRv6 Policy
by Yuze Liu, Weihong Wu, Ying Wang, Jiang Liu and Fan Yang
Future Internet 2024, 16(4), 140; https://doi.org/10.3390/fi16040140 - 22 Apr 2024
Viewed by 1636
Abstract
With the expansion of network scale, new network services are emerging. Segment Routing over IPv6 (SRv6) can meet the diverse needs of more new services due to its excellent scalability and programmability. In the intelligent 6-Generation (6G) scenario, frequent SRv6 Traffic Engineering (TE) [...] Read more.
With the expansion of network scale, new network services are emerging. Segment Routing over IPv6 (SRv6) can meet the diverse needs of more new services due to its excellent scalability and programmability. In the intelligent 6-Generation (6G) scenario, frequent SRv6 Traffic Engineering (TE) policy updates will result in the serious problem of unsynchronized updates across routers. Existing solutions suffer from issues such as long update cycles or large data overhead. To optimize the policy-update process, this paper proposes a scheme called Synchronous Update with the Division and Combination of SRv6 Policy (SUDC). Based on the characteristics of the SRv6 TE policy, SUDC divides the policies and introduces Bit Index Explicit Replication IPv6 Encapsulation (BIERv6) to multicast the policy blocks derived from policy dividing. The contribution of this paper is to propose the policy-dividing and combination mechanism and the policy-dividing algorithm. The simulation results demonstrate that compared with the existing schemes, the update overhead and update cycle of SUDC are reduced by 46.71% and 46.6%, respectively. The problem of unsynchronized updates across routers has been further improved. Full article
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<p>The architecture of SUDC.</p>
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<p>An example of SUDC.</p>
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<p>The core idea of policy-dividing algorithm.</p>
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<p>The role of the dictionary tree.</p>
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<p>Number of times for policy distribution.</p>
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<p>Coexisting time of new and legacy policies.</p>
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<p>Propagation time of policies in the network.</p>
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<p>Timeliness cost of SUDC.</p>
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29 pages, 8084 KiB  
Article
SRv6-Based Edge Service Continuity in 5G Mobile Networks
by Laura Lemmi, Carlo Puliafito, Antonio Virdis and Enzo Mingozzi
Future Internet 2024, 16(4), 138; https://doi.org/10.3390/fi16040138 - 19 Apr 2024
Viewed by 1635
Abstract
Ensuring compliance with the stringent latency requirements of edge services requires close cooperation between the network and computing components. Within mobile 5G networks, the nomadic behavior of users may impact the performance of edge services, prompting the need for workload migration techniques. These [...] Read more.
Ensuring compliance with the stringent latency requirements of edge services requires close cooperation between the network and computing components. Within mobile 5G networks, the nomadic behavior of users may impact the performance of edge services, prompting the need for workload migration techniques. These techniques allow services to follow users by moving between edge nodes. This paper introduces an innovative approach for edge service continuity by integrating Segment Routing over IPv6 (SRv6) into the 5G core data plane alongside the ETSI multi-access edge computing (MEC) architecture. Our approach maintains compatibility with non-SRv6 5G network components. We use SRv6 for packet steering and Software-Defined Networking (SDN) for dynamic network configuration. Leveraging the SRv6 Network Programming paradigm, we achieve lossless workload migration by implementing a packet buffer as a virtual network function. Our buffer may be dynamically allocated and configured within the network. We test our proposed solution on a small-scale testbed consisting of an Open Network Operating System (ONOS) SDN controller and a core network made of P4 BMv2 switches, emulated using Mininet. A comparison with a non-SRv6 alternative that uses IPv6 routing shows the higher scalability and flexibility of our approach in terms of the number of rules to be installed and time required for configuration. Full article
(This article belongs to the Special Issue Edge Intelligence: Edge Computing for 5G and the Internet of Things)
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<p>SRv6-based reference scenario.</p>
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<p>The SRv6 header structure.</p>
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<p>Converged 5G and MEC reference architecture.</p>
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<p>Proposed network topology.</p>
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<p>Data plane in Enhanced Mode path allocation.</p>
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<p>Data plane in Enhanced Mode with Unchanged gNB path allocation.</p>
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<p>The proposed migration timeline.</p>
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<p>Control plane in Enhanced Mode path migration with buffering.</p>
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<p>Data plane in Enhanced Mode path migration with buffering.</p>
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<p>Control plane in Enhanced Mode with Unchanged gNB path migration with buffering.</p>
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<p>Data plane in Enhanced Mode with Unchanged gNB path migration with buffering.</p>
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<p>The End.Buffer behavior.</p>
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<p>The End.M.GTP6.D.Buffer behavior.</p>
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<p>Proposed high-level testbed architecture.</p>
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<p>Network nodes installation overhead.</p>
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<p>Worst-case network configuration timeline.</p>
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<p>Worst-case network configuration overhead.</p>
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<p>Mean request–response time.</p>
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<p>Throughput within a time interval containing migration.</p>
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<p>Boxplot of the throughput within a time interval containing migration.</p>
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<p>eCDF of the request–response time.</p>
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<p>Control plane Enhanced Mode path allocation.</p>
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<p>Control plane Enhanced Mode with Unchanged gNB path allocation.</p>
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20 pages, 5747 KiB  
Article
Bioactive Properties of Venoms Isolated from Whiptail Stingrays and the Search for Molecular Mechanisms and Targets
by Craig A. Doupnik, Carl A. Luer, Catherine J. Walsh, Jessica Restivo and Jacqueline Xinlan Brick
Pharmaceuticals 2024, 17(4), 488; https://doi.org/10.3390/ph17040488 - 11 Apr 2024
Viewed by 1306
Abstract
The venom-containing barb attached to their ‘whip-like’ tail provides stingrays a defensive mechanism for evading predators such as sharks. From human encounters, dermal stingray envenomation is characterized by intense pain often followed by tissue necrosis occurring over several days to weeks. The bioactive [...] Read more.
The venom-containing barb attached to their ‘whip-like’ tail provides stingrays a defensive mechanism for evading predators such as sharks. From human encounters, dermal stingray envenomation is characterized by intense pain often followed by tissue necrosis occurring over several days to weeks. The bioactive components in stingray venoms (SRVs) and their molecular targets and mechanisms that mediate these complex responses are not well understood. Given the utility of venom-derived proteins from other venomous species for biomedical and pharmaceutical applications, we set out to characterize the bioactivity of SRV extracts from three local species that belong to the Dasyatoidea ‘whiptail’ superfamily. Multiple cell-based assays were used to quantify and compare the in vitro effects of these SRVs on different cell lines. All three SRVs demonstrated concentration-dependent growth-inhibitory effects on three different human cell lines tested. In contrast, a mouse fibrosarcoma cell line was markedly resistant to all three SRVs, indicating the molecular target(s) for mediating the SRV effects are not expressed on these cells. The multifunctional SRV responses were characterized by an acute disruption of cell adhesion leading to apoptosis. These findings aim to guide future investigations of individual SRV proteins and their molecular targets for potential use in biomedical applications. Full article
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Figure 1

Figure 1
<p>SDS–polyacrylamide gel electrophoretic separation of crude SRV proteins obtained from three distinct stingray species. Lane 1: Molecular weight standards. Lane 2: Cownose ray (<span class="html-italic">R. bonasus</span>). Lane 3: Atlantic stingray (<span class="html-italic">H. sabinus</span>). Lane 4: Spotted eagle ray (<span class="html-italic">A. narinari</span>). The amount of protein loaded per lane was 25 μg for each SRV.</p>
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<p>Inhibition of cell growth caused by exposure to SRVs. (<b>A</b>) HDFa cells treated with Atlantic stingray venom (mean ± S.E.M., <span class="html-italic">n</span> = 3) at protein concentrations of 50, 100, 200, and 400 µg/mL. (<b>B</b>) HDFa cells treated with spotted eagle ray venom (mean ± S.E.M, <span class="html-italic">n</span> = 4) at concentrations of 50, 100, 200, and 400 µg/mL. (<b>C</b>) SH-SY5Y cells treated with spotted eagle ray venom (mean ± S.E.M., <span class="html-italic">n</span> = 6) at concentrations of 25, 50, 100, and 200 µg/mL. The percent growth inhibition compared to untreated control cells (0 μg/mL) was determined using the MTT assay following a 72 h treatment period for each condition. * Significantly different from untreated control cells as determined by Student’s <span class="html-italic">t</span>-test (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Morphological effects of eagle ray venom on cultured HDFa cells (<b>top row</b>) compared to cultured SH-SY5Y cells (<b>bottom row</b>). The two cell types were each treated with a range of SRV concentrations for a 72 h exposure period. Magnification, 10×.</p>
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<p>Time course for Atlantic stingray venom effects on HDFa cells maintained in culture. (<b>A</b>) The Cell Index (normalized impedance) was recorded in 96-well E-plates every 15 min and plotted over a 5-day time period. The slow, near-linear increase in the Cell Index that occurred during the 3-day pre-treatment period reflects the proliferation and adherence of HDFa cells that result in an increase in impedance. The Cell Index values at time ‘zero’ were normalized for time course comparisons caused by the different experimental groups over the 2-day treatment period: sham (green trace), SRV treatments (red traces), and TritonX-100 (black trace). (<b>B</b>) The Cell Index values measured at increasing durations of SRV exposure (1, 12, 24, 36, and 48 h) are plotted for each concentration of SRV tested. (<b>C</b>) The derived SRV concentration–response effects are shown after acute SRV exposure (1 h) and increasing SRV exposure durations (12, 24, 36, and 48 h). The Cell Index values from each SRV treatment group were normalized to the sham control value for comparisons of the concentration-dependent responses at different exposure periods.</p>
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<p>Heat denaturation of SRV abolishes the rapid cellular detachment effect. (<b>A</b>) HDFa cells in log phase growth were either untreated (sham, green trace), treated with 100 μg/mL Atlantic stingray venom (red trace), or treated with 100 μg/mL Atlantic stingray venom subjected to high heat (purple trace). TritonX-100 treatment (black trace) served as a positive control for cell detachment. (<b>B</b>) HDFa cell adherence measured 1 h after the start of the treatment periods is shown for each experimental group (mean ± S.D., <span class="html-italic">n</span> = 3, * <span class="html-italic">p</span> &lt; 0.05, N.S. denotes not statistically significant).</p>
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<p>SRV-mediated inhibition of Jurkat E6-1 cell growth and insensitivity of WEHI 164 cells. (<b>A</b>) SRVs from cownose rays (<span class="html-italic">R. bonasus</span>), spotted eagle rays (<span class="html-italic">A. narinari</span>), and Atlantic stingrays (<span class="html-italic">H. sabinus</span>) were used to treat Jurkat E6-1 cells for a 24 h exposure period at varying concentrations. The percent growth inhibition compared to untreated control cells (0 μg/mL) was determined using the MTT assay (mean ± S.E.M.; <span class="html-italic">R. bonasus</span> venom, <span class="html-italic">n</span> = 6; <span class="html-italic">A. narinari</span> venom; <span class="html-italic">n</span> = 8, <span class="html-italic">H. sabinus</span> venom, <span class="html-italic">n</span> = 4). (<b>B</b>) WEHI 164 fibrosarcoma cells were treated with SRVs under the same conditions described for Jurkat E6-1 cells (mean ± S.E.M., <span class="html-italic">n</span> = 3 for each SRV). * Significantly different from untreated control cells as determined by Student’s <span class="html-italic">t</span>-test (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>SRV-mediated apoptosis and necrosis of Jurkat E6-1 cells. (<b>A</b>) Representative flow cytometry analysis of Jurkat E6-1 cells assessed with FITC-labeled annexin V binding (FL1-A channel) and propidium iodide staining (FL2-A channel). Healthy viable cells cluster in Quadrant 2 (Q2), apoptotic cells cluster in Quadrant 3 (Q3), and dead or necrotic cells cluster in Quadrant 4 (Q4). (<b>B</b>,<b>C</b>) The percentages of Jurkat E6-1 cells (mean ± S.E.M.) characterized as ‘healthy’, ‘apoptotic’, or ‘necrotic’ following a 24 h exposure to eagle ray venom (b) or Atlantic stingray venom (c) are plotted over the range of concentrations tested (0–200 μg/mL). Staurosporine treatment (Stauro) was used as a positive control for apoptosis and heat-killing (HK) of cells was used as a positive control for cell necrosis (95 °C for 30 min). * Significantly different than untreated control as determined using Student’s <span class="html-italic">t</span>-test (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Conceptual diagram of SRV galectins targeting the native galectin lattice and affecting multiple cell membrane proteins via binding to their glycosylated and exposed β-galactoside structures. (<b>A</b>) In native tissues, a multivalent galectin lattice promotes clustering and physical coupling of glycosylated cell membrane proteins to the extracellular matrix (ECM) and neighboring transmembrane proteins. Normal homeostatic signaling is produced in part via these interactions. (<b>B</b>) Introduction of SRV galectin proteins during envenomation displaces and disrupts the native galectin lattice, resulting in altered cell signaling events mediated by the effected glycosylated transmembrane signaling protein targets.</p>
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<p>A venom-associated galectin-like protein homolog in the Atlantic stingray. (<b>A</b>) Nucleotide sequence alignment of Neocontig97 from <span class="html-italic">Neotrygon kuhlii</span> and the <span class="html-italic">Hypanus sabinus</span> mRNA RefSeq transcript (XM_059969249.1) identified by a BLAST database search. (<b>B</b>) Amino acid sequence alignment of the <span class="html-italic">Neotrygon kuhlii</span> galectin-1 protein and predicted <span class="html-italic">Hypanus sabinus</span> galectin-12-like protein. The conserved domains representing the dimerization interface sequences (yellow) and ‘sugar binding pocket’ (blue) (i.e., CBD) are highlighted with red font, and non-identical amino acids are highlighted in grey. Both proteins were classified as GLECT domain-containing proteins using the CD-Search interface of the NCBI conserved domain database, <a href="https://www.ncbi.nlm.nih.gov/cdd" target="_blank">https://www.ncbi.nlm.nih.gov/cdd</a> (accessed on 15 February 2024). The two proteins share 90% sequence identity. (<b>C</b>) Phylogenetic representation of predicted galectin proteins encoded by galectin-like genes annotated in the sHypSap1.hap1 genome assembly. The phylogenetic tree was constructed from a multiple sequence alignment of the proteins shown using COBALT and Phylogenetic Tree View with the following parameters: Fast Minimum Evolution, Maximum Sequence Distance = 0.90, and the Grishin protein algorithm. The results were then sorted by distance in ascending order. The venom-associated galectins are indicated by the two red stars.</p>
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<p>(<b>a</b>) Spotted eagle ray spines were removed from the dorsal surface of the tail by first grasping the spine with long nose pliers. (<b>b</b>) Twisting the spine dorsal and rostral away from the tail resulted in spine separation from the ray.</p>
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<p>Collection of venom-containing spine tissue: (<b>A</b>) Atlantic stingray spines were clipped near their site of attachment on the dorsal surface of the tail using ethanol-sterilized wire-cutting pliers; (<b>B</b>) crude venom gland tissue was then scraped from the ventral surface of the spine using sterile fine tip dissecting forceps and into a Petri dish after rinsing with sterile E-PBS solution.</p>
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13 pages, 2922 KiB  
Article
Eggplant Little Leaf-Associated Phytoplasma Detection in Seedlings under Insect-Proof Conditions
by Mukesh Darabakula, Sri Tej Mateeti, Francesco Pacini, Assunta Bertaccini and Nicoletta Contaldo
Int. J. Plant Biol. 2024, 15(2), 217-229; https://doi.org/10.3390/ijpb15020018 - 27 Mar 2024
Cited by 1 | Viewed by 2210
Abstract
Eggplant, or brinjal, is one of the most consumed and important tropical solanaceous vegetable crops grown worldwide. Little leaf is a disease associated with the presence of phytoplasmas especially widespread in brinjal in India. To clarify the epidemiology of this disease, a verification [...] Read more.
Eggplant, or brinjal, is one of the most consumed and important tropical solanaceous vegetable crops grown worldwide. Little leaf is a disease associated with the presence of phytoplasmas especially widespread in brinjal in India. To clarify the epidemiology of this disease, a verification of its transmission through seeds to seedlings and their progeny derived from symptomatic mother plants was performed. Brinjal seeds field-collected in the Dharwad district of Karnataka State, India, were sowed in a greenhouse under insect-proof conditions. DNA was extracted from seedlings and their progeny and from symptomatic plant samples collected in the field. The first- and second-generation seedlings obtained *under these conditions were tested at various time points after germination by amplification of the 16S rRNA gene of phytoplasmas. The amplicons obtained were subjected to restriction fragment length polymorphism (RFLP) analysis and sequencing for the identification of detected phytoplasmas. Ribosomal groups 16SrI, 16SrII, 16SrIII, 16SrV, 16SrVI, and 16SrXII were identified. Moreover, a number of fruits produced from the first-generation seedlings showed precocious seed germination, and the young seedlings resulted as phytoplasma-positive. The seed transmission of phytoplasmas in eggplants for two subsequent generations highlights the risk of additional sources of infection of the disease represented by asymptomatic and infected seedlings in the presence of insect vectors. The seed transmission could explain the continuous presence of epidemic outbreaks of phytoplasmas in brinjal cultivations in several cultivation areas. Full article
(This article belongs to the Section Plant–Microorganisms Interactions)
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<p>Brinjal plants showing little leaf symptoms in the fields where the seeds were collected (<b>a</b>,<b>b</b>) and seedlings in insect-proof greenhouse at 61 (<b>top</b>) and 68 (<b>bottom</b>) days after planting (<b>c</b>).</p>
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<p>Brinjal fruits produced in the insect-proof greenhouse from seedlings collected from phytoplasma-infected mother plants: (<b>a</b>) brinjal plant with fruits and (<b>b</b>,<b>c</b>) dissected eggplant with germinated seeds inside the fruit.</p>
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<p>RFLP profiles of 16S rDNA in 6.7% polyacrylamide gels of selected amplicons from DNA samples amplified with fU5/rU3 primers in nested reaction from eggplant phytoplasmas and phytoplasma controls digested with <span class="html-italic">Tru1</span>I. Samples from eggplant on the left from 1 to 5. On the right, profiles of phytoplasma controls from EPPO-Qbank collection: AY27; 16SrI-B; CrP, 16SrII-C; JR, 16SrIII-H; CX, 16SrIII-A; EY, 16SrV-A; FD-D, 16SrV-D; PWB, 16SrVI; CP-1, 16SrVI-A; ASHY, 16SrVII-A. P, marker phiX174 <span class="html-italic">Hae</span>III digested with fragment sizes in base pairs from top to bottom of 1353; 1078; 872; 603; 310; 281; 271; 234; 194; 118; and 72.</p>
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<p>Alignments of the 16S rRNA gene sequences of the 16SrIII phytoplasma to ‘<span class="html-italic">Ca</span>. P. pruni’ (<b>a</b>) and of 16SrVI phytoplasma to ‘<span class="html-italic">Ca</span>. P. trifolii’ (<b>b</b>), showing the SNPs detected.</p>
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<p>Phylogenetic analysis by maximum likelihood method. The percentage of trees in which the associated taxa clustered together is shown next to the branches. The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. The analysis involved 26 nucleotide sequences. <span class="html-italic">Acholeplasma laidlawii</span> is used as an outgroup to root the tree; in blue, the sequences of phytoplasma strains identified in the mother plants; in purple, the ones identified in seedlings; and in red, the reference strains used for classification [<a href="#B7-ijpb-15-00018" class="html-bibr">7</a>].</p>
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<p>Phylogenetic analysis by maximum likelihood method in (<b>a</b>) sequences from 11 phytoplasma <span class="html-italic">leu</span> genes and in (<b>b</b>) from 29 <span class="html-italic">secA</span> genes from various ‘<span class="html-italic">Ca</span>. Phytoplasma’ species available in GenBank. The percentage of trees in which the associated taxa clustered together is shown next to the branches. The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. No outgroup is available for the <span class="html-italic">leu</span> gene, while for the <span class="html-italic">secA</span> gene, the <span class="html-italic">Bacillus subtilis</span> sequence is the outgroup. The phytoplasma strain studied (in blue) is from the symptomatic brinjal mother plants. In green 16S ribosomal group affiliation of the phytoplasma strains.</p>
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