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23 pages, 9684 KiB  
Article
Analysis of Spatial Distribution Pattern and Driving Factors of Nature Reserves in Xinjiang
by Yue Yang, Zhaoping Yang and Fang Han
Land 2025, 14(1), 68; https://doi.org/10.3390/land14010068 - 1 Jan 2025
Viewed by 385
Abstract
Establishing nature reserves is fundamental to promoting ecological civilization and ensuring the ecological security of sustainable development, as well as a key strategy for maintaining the integrity of the national ecosystem. In recent years, with the enhancement in environmental awareness, the role of [...] Read more.
Establishing nature reserves is fundamental to promoting ecological civilization and ensuring the ecological security of sustainable development, as well as a key strategy for maintaining the integrity of the national ecosystem. In recent years, with the enhancement in environmental awareness, the role of nature reserves in maintaining ecosystem stability, protecting biodiversity, and promoting sustainable development has become increasingly prominent. As a crucial ecological defense line in China, studying the spatial distribution and influencing factors of nature reserves in Xinjiang is vital for regional ecological protection and resource management. In this study, we focused on the nature reserves in Xinjiang and used kernel density and standard deviation ellipse analysis methods to examine data from 1980, 1990, 2000, 2010, and 2020 in order to reveal the dynamics of spatial distribution, clustering characteristics, and evolutionary patterns, providing a scientific basis for optimizing the spatial layout of nature reserves in Xinjiang. We also employed a geographical detector model to assess the main influencing factors. This study shows that the number, area, and types of nature reserves in Xinjiang have rapidly increased, forming an integrated system predominantly composed of nature reserves. Their spatial distribution exhibits a northeast–southwest orientation and a ring-centered clustering pattern. This spatial differentiation is the result of the interaction between natural and human factors, manifesting as an enhanced effect among these factors. Full article
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Figure 1
<p>Map of the study area. Note: map data from the National Standard Map Service website.</p>
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<p>Changes in the number and area of nature reserves from 1980 to 2020.</p>
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<p>Standard deviation ellipse for nature reserves.</p>
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<p>Kernel density analysis of nature reserves in Xinjiang from 1980 to 2020.</p>
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<p>Spline selection and analytical results.</p>
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<p>Characteristics of spatial agglomeration of nature reserves in Xinjiang.</p>
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27 pages, 7372 KiB  
Article
Wellhead Stability during Development Process of Hydrate Reservoir in the Northern South China Sea: Evolution and Mechanism
by Qingchao Li, Qiang Li, Jingjuan Wu, Xianzhong Li, Hongbin Li and Yuanfang Cheng
Processes 2025, 13(1), 40; https://doi.org/10.3390/pr13010040 - 27 Dec 2024
Viewed by 440
Abstract
Natural gas hydrates represent a promising clean energy source with vast reserves. Their efficient development is crucial for ensuring the sustainable advancement of human society. However, wellhead instability occurred in the long-term development, which poses a significant challenge that impacts its commercial development. [...] Read more.
Natural gas hydrates represent a promising clean energy source with vast reserves. Their efficient development is crucial for ensuring the sustainable advancement of human society. However, wellhead instability occurred in the long-term development, which poses a significant challenge that impacts its commercial development. In the present work, the properties of hydrate-bearing sediments were experimentally investigated. It was found that the elastic modulus, cohesion, and internal friction angle of hydrate-bearing sediments exhibit an increase with the effective stress. As an example, when the effective stress increases from 0 MPa to 25 MPa, the normalized elastic modulus exhibits a rise from 1.00 to 1.36. Conversely, the Poisson’s ratio, permeability, and porosity demonstrate a decline in accordance with this trend. As an example, both normalized porosity and permeability decrease to values below 0.40 as the effective stress increases to 25 MPa. Based on the experimental results and previous work, a comprehensive model for describing the effect of both hydrate saturation and effective stress on physical parameters was obtained. Subsequently, a multi-field coupled investigation methodology was developed to evaluate wellhead stability during the long-term development of hydrate-bearing sediments, and the evolution characteristics and mechanisms of wellhead instability were numerically explored. It reveals that development operation using the vertical wellbore decomposes hydrates in the surrounding sediments only within a radius of 19.52 m, which significantly undermines the wellhead stability. Moreover, the wellhead system not only sinks with sediment subsidence but also experiences additional sinking due to the failure of bonding between the wellhead system and sediments. Furthermore, the latter accounts for a significant portion, amounting to approximately 68.15% of the total sinking under the research conditions. This study can provide methodological prerequisites for exploring the impact of various factors on wellhead stability during the long-term hydrate development process. Full article
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Figure 1
<p>Overseas dependence on crude oil and natural gas during 2013–2023.</p>
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<p>The experimental system for sample preparation and investigation of mechanical property. Note: the blue and green arrows represent the direction of signal transmission and fluid flow, respectively.</p>
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<p>Mold photo for sample preparation of hydrate-bearing sediments.</p>
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<p>(<b>a</b>) The preparation process of hydrate-bearing sediment samples, (<b>b</b>) evolution of temperature and pressure in an autoclave.</p>
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<p>The actual state (<b>left</b>) and stress state (<b>right</b>) of the sample in the experiment.</p>
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<p>Effect of effect stress on (<b>a</b>) Elastic modulus and (<b>b</b>) Poisson’s ratio.</p>
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<p>Effect of effect stress on (<b>a</b>) Cohesion and (<b>b</b>) Internal friction angle.</p>
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<p>Effect of effect stress on (<b>a</b>) porosity and (<b>b</b>) Permeability of hydrate-bearing sediments.</p>
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<p>The orientation of the study area.</p>
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<p>The (<b>a</b>) geometric model and (<b>b</b>) mesh model.</p>
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<p>Some logging data of the SH2 site in the Shenhu area.</p>
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<p>Simulation results of the Geostatic step.</p>
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<p>Code for initializing hydrate saturation in USDFLD subroutine.</p>
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<p>Distribution of hydrate saturation after 10 years of hydrate development. (<b>a</b>) Vertical wellbore; (<b>b</b>) Horizontal wellbore (Li et al., 2023) [<a href="#B64-processes-13-00040" class="html-bibr">64</a>].</p>
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<p>Distribution of hydrate saturation after 10 years of hydrate development. (<b>a</b>) Vertical wellbore; (<b>b</b>) Horizontal wellbore (Li et al., 2023) [<a href="#B64-processes-13-00040" class="html-bibr">64</a>].</p>
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<p>Evolution of gas production from gas hydrates during the hydrate development process. (<b>a</b>) Vertical wellbore; (<b>b</b>) Horizontal wellbore (Li et al., 2023) [<a href="#B64-processes-13-00040" class="html-bibr">64</a>].</p>
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<p>Evolution of subsidence distribution during the hydrate development process using vertical well.</p>
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<p>Final sediment subsidence distribution during hydrate development using horizontal wellbore in Li et al., (2023) [<a href="#B64-processes-13-00040" class="html-bibr">64</a>].</p>
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<p>Sinking of wellhead during hydrate development process.</p>
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<p>Codes of the USDFLD subroutine.</p>
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18 pages, 2852 KiB  
Article
Assessment of the Influence of Formation Conditions of Embankments and Spoil Heaps on Their Stability When Dumped on Clay-Salt Slurries
by Maxim Karasev and Tatsiana Astapenka
Eng 2025, 6(1), 2; https://doi.org/10.3390/eng6010002 - 26 Dec 2024
Viewed by 300
Abstract
The formation of geotechnical structures on foundations composed of low-strength soils is associated with a number of risks and difficulties. Soils such as clay-salt slurries are characterized by low bearing capacity and a tendency to deform under load. In this study, a numerical [...] Read more.
The formation of geotechnical structures on foundations composed of low-strength soils is associated with a number of risks and difficulties. Soils such as clay-salt slurries are characterized by low bearing capacity and a tendency to deform under load. In this study, a numerical simulation of the stability analysis of an embankment constructed on low-strength soils consisting of clay-salt slurries is carried out, and the study of the dependence of the stability and behavior of the embankment on the configuration of this foundation, without taking into account the embedment of rocks and with introduction of rocks into the geotechnical system, is considered. The results prove that the sloping configuration of low-strength soils greatly complicates the stability of the embankment. It is noted that the stability factor is significantly reduced under the influence of loads on low-strength soil, particularly when the geotechnical system has a configuration with slope angles of 5° and 10°, and, in addition, when rocks are embedded in low-strength soil if the underlying soil layer is a weak foundation. In view of this, the assessment of embankment stability on clay-salt slurries requires careful analysis due to a number of specific characteristics of these soils that create complex geotechnical conditions. Full article
(This article belongs to the Section Chemical, Civil and Environmental Engineering)
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Figure 1
<p>Configuration of the models of the considered geotechnical system without consideration of the embedment of dry rocks into low-strength soils (<b>a</b>) and with their partial introduction (<b>b</b>).</p>
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<p>Graph of the Ksf stability factor for the slurry of deposit No. 1 at a depth of 5 m ((<b>a</b>)—strong foundation, (<b>b</b>)—weak foundation). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
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<p>Graph of the Ksf stability factor for the slurry of deposit No. 1 at a depth of 10 m ((<b>a</b>)—strong foundation, (<b>b</b>)—weak foundation). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
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<p>Graph of the stability factor Ksf for sludge of deposit No. 2 at a depth of 5 m ((<b>a</b>)—strong foundation, (<b>b</b>)—strong foundation with reduced characteristics of overlying clay-salt sludge, (<b>c</b>)—weak foundation, (<b>d</b>)—weak foundation with reduced characteristics of overlying clay-salt slurry). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
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<p>Graph of the stability factor Ksf for sludge of deposit No. 2 at a depth of 5 m ((<b>a</b>)—strong foundation, (<b>b</b>)—strong foundation with reduced characteristics of overlying clay-salt sludge, (<b>c</b>)—weak foundation, (<b>d</b>)—weak foundation with reduced characteristics of overlying clay-salt slurry). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
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<p>Graph of the Ksf stability factor for slurries of deposit No. 2 at a depth of 10 mn ((<b>a</b>)—strong foundation, (<b>b</b>)—strong foundation with reduced characteristics of overlying clay-salt slurries, (<b>c</b>)—weak foundation, (<b>d</b>)—weak foundation with reduced characteristics of overlying clay-salt slurries).</p>
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<p>Graph of the Ksf stability factor for models with partial embedding of deposit No. 1 at a depth of 5 m ((<b>a</b>)—strong foundation, (<b>b</b>)—weak foundation). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
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<p>Graph of the Ksf stability factor for models with partial embedment of deposit No. 1 with a depth of 10 m ((<b>a</b>)—strong foundation, (<b>b</b>)—weak foundation). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
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<p>Graph of the Ksf stability factor for models with partial embedment for deposit No. 2 at a depth of 5 m ((<b>a</b>)—strong foundation, (<b>b</b>)—strong foundation with reduced characteristics of overlying clay-salt slurries, (<b>c</b>)—weak foundation, (<b>d</b>)—weak foundation with reduced characteristics of overlying clay-salt slurries). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
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<p>Graph of the Ksf stability factor for models with partial embedment for deposit No. 2 at a depth of 5 m ((<b>a</b>)—strong foundation, (<b>b</b>)—strong foundation with reduced characteristics of overlying clay-salt slurries, (<b>c</b>)—weak foundation, (<b>d</b>)—weak foundation with reduced characteristics of overlying clay-salt slurries). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
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<p>Graph of the stability factor Ksf for models with partial embedment for deposit No. 2 with a depth of 10 m ((<b>a</b>)—strong foundation, (<b>b</b>)—strong foundation with reduced characteristics of overlying clay-salt slurries, (<b>c</b>)—weak foundation, (<b>d</b>)—weak foundation with reduced characteristics of overlying clay-salt slurries). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
Full article ">Figure 9 Cont.
<p>Graph of the stability factor Ksf for models with partial embedment for deposit No. 2 with a depth of 10 m ((<b>a</b>)—strong foundation, (<b>b</b>)—strong foundation with reduced characteristics of overlying clay-salt slurries, (<b>c</b>)—weak foundation, (<b>d</b>)—weak foundation with reduced characteristics of overlying clay-salt slurries). Note: where 0, 5, and 10 are the angles of occurrence of the geotechnical system.</p>
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<p>Display of slip surface depending on conditions and configuration ((<b>a</b>)—horizontal low-strength soils 5 m deep, (<b>b</b>)—horizontal low-strength soils 10 m deep, (<b>c</b>)—inclined low-strength soils 5 m deep and inclination angle 5°, (<b>d</b>)—inclined occurrence of low-strength soils 10 m deep and inclination angle of 5°, (<b>e</b>)—inclined occurrence of low-strength soils 5 m deep and inclination angle of 10°, (<b>f</b>)—inclined occurrence of low-strength soils 10 m deep and inclination angle of 10°).</p>
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32 pages, 9192 KiB  
Article
Reactivation of Abandoned Oilfields for Cleaner Energy Generation: Three-Dimensional Modelling of Reservoir Heterogeneity and Geometry
by Benjamin Michael Storey, Richard H. Worden, David D. McNamara, John Wheeler, Julian Parker and Andre Kristen
Processes 2024, 12(12), 2883; https://doi.org/10.3390/pr12122883 - 17 Dec 2024
Viewed by 537
Abstract
With the changing picture of global energy supplies and the shift toward the energy transition, it has never been more important to look for alternative sources of energy. Globally there are tens of thousands of abandoned oil fields with considerable reserves left behind. [...] Read more.
With the changing picture of global energy supplies and the shift toward the energy transition, it has never been more important to look for alternative sources of energy. Globally there are tens of thousands of abandoned oil fields with considerable reserves left behind. These have the potential to be reactivated to become an energy supply that is cleaner than conventional oil and gas. This can be achieved by the use of in situ combustion and the subsequent exploitation of the inherent increase in temperature and pressure to produce geothermal energy, allied to sequestration of the mixture of produced fluids. In situ combustion (ISC) has conventionally been used as an enhanced oil recovery technique, with a high failure rate that has been recently attributed to poor reservoir selection and project design. We suggest that the failure of many earlier ISC projects is due to insufficient appreciation of how the subsurface geology affects the process. With the use of computer numerical modelling, we aim to ascertain how the geometry and heterogeneity of the reservoir control the success of the process. Here we employ simple three-dimensional sector models to assess a variety of different petrophysical heterogeneities, within a set of different reservoir geometries, on the temperature, velocity, propagation stability and enthalpy rate. These models illustrate that the biggest impact on success of the ISC process for geothermal energy generation, as a function of temperature and enthalpy, is the location of the wells relative to the heterogeneities and the scale of heterogeneities. Metre-scale heterogeneities do not have a significant effect on this. Instead, the biggest contributor to the propagation stability and direction of the fire front is the presence of a large-scale (10 s to 100 s of metres) heterogeneities, such as channels, or the geometry of a tilted fault block; both have a strong control over the direction of the propagation, and therefore are important factors with regards to well placement. Full article
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Figure 1
<p>Relative permeability curves used in all simulations: (<b>a</b>) oil–water relative permeability and (<b>b</b>) liquid–gas relative permeability curves with temperature dependence included [<a href="#B62-processes-12-02883" class="html-bibr">62</a>].</p>
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<p>Viscosity vs. temperature graphs to illustrate how the initial oil viscosity decreases with increasing temperature [<a href="#B64-processes-12-02883" class="html-bibr">64</a>,<a href="#B65-processes-12-02883" class="html-bibr">65</a>].</p>
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<p>Diagrams of each of the different geometries that is used for the model, with injection and production wells marked and depth scale. (<b>a</b>) Base–case cube model without any tectonic structure, (<b>b</b>) periclinal fold with four-way dip closure, (<b>c</b>) tilted fault block dipping at 45°.</p>
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<p>Porosity distribution of the three heterogeneous sub-models (note that the homogeneous model is not represented here). (<b>a</b>) Gaussian distribution of porosity with a mean porosity of 20% and standard deviation of 4; (<b>b</b>) facies-controlled heterogeneity of a single channel of defined orientation that, in this case, is not intersected by the injector or producer wells; (<b>c</b>) layered model with alternating 5% and 20 percent layers. All models’ permeabilities are derived from the Kozeny–Carman relationship (Equation (1)), each sub model is used with each geo-model.</p>
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<p>Oil saturation distribution plots with the fire front marked, for each of the different type A models, no heterogeneity. (<b>a</b>) Model 1-A, homogeneous cube geometry, revealing the development of a wedge-shaped fire front moving more at the top than the base of the structure. (<b>b</b>) Model 2-A, homogeneous periclinal fold, illustrating the development of a wedge-shaped fire front with the majority of the oil bank to the top of the reservoir. (<b>c</b>) Model 3-A, homogenous tilted fault block, revealing a strong preference for the migration of oil up-dip and to the left of the reservoir.</p>
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<p>Graphs of average properties by layer for each homogenous model. (<b>a</b>) Average temperature of six hottest points. (<b>b</b>) Average velocity of the six hottest points. (<b>c</b>) Average propagation angle with respect to the production and injection wells for the six hottest points.</p>
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<p>Oil saturation distribution plots with the fire front marked on for each of the different type B models, with heterogeneous distribution of petrophysical properties. (<b>a</b>) Model 1-B, randomly distributed heterogeneity cube geometry, revealing a distorted fire front moving predominantly to the left of the grid and beginning to split (<b>b</b>) Model 2-B, randomly distributed heterogeneity periclinal fold, revealing a distorted shape to the fire front but moving towards the apex of the structure. (<b>c</b>) Model 3-B, randomly distributed heterogeneity tilted fault block, showing that the fire front preferentially migrates up-dip as well as the formation of a small movement towards the production well.</p>
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<p>Graphs of average properties by layer for each randomly distributed heterogeneity model. (<b>a</b>) Average temperature of six hottest points. (<b>b</b>) Average velocity of the six hottest points. (<b>c</b>) Average propagation angle with respect to the production and injection wells for the six hottest points.</p>
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<p>Oil saturation distribution plots with the fire front marked on for each of the different type C models, facies-controlled (channel) petrophysical heterogeneity. (<b>a</b>) Model 1-C, facies-controlled heterogeneity cube geometry, revealing minor movement of oil to the right-hand side of the upper layers of the reservoir. (<b>b</b>) Model 2-C, facies-controlled periclinal fold, revealing a small displacement of oil around the injection well within the upper layers of the reservoir. (<b>c</b>) Model 3-C, facies-controlled tilted fault block, revealing extinction of the fire front before it could develop and no movement of oil.</p>
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<p>Graphs of average properties by layer for each facies-controlled heterogeneity model. (<b>a</b>) Average temperature of six hottest points. (<b>b</b>) Average velocity of the six hottest points. (<b>c</b>) Average propagation angle with respect to the production and injection wells for the six hottest points.</p>
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<p>Oil saturation distribution plots with the fire front marked on for each of the different type D models, with layered stratigraphic petrophysical heterogeneity. (<b>a</b>) Model 1-D, layered cube geometry, revealing the preferential movement of oil within the higher porosity and permeability layers. (<b>b</b>) Model 2-D, layered periclinal fold, showing the preferential movement of oil within the high-porosity and permeability layers and slight distortions of the fire front within the top layer. (<b>c</b>) Model 3-D, layered tilted fault block, illustrating the preferential movement of oil within the high-porosity and permeability layers and the preferential movement of the fire front up-dip.</p>
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<p>Graphs of average properties by layer for each layered model. (<b>a</b>) Average temperature of the six hottest points. (<b>b</b>) Average velocity of the six hottest points. (<b>c</b>) Average propagation angle with respect to the production and injection wells for the six hottest points.</p>
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<p>Graph to illustrate the cumulative enthalpy of each model when run for a duration of 5 years, not including models 2-A, 3-A, or 3-B, as these models did not run to completion. Given the selected orientation of the channel relative to the injector and producer wells, the facies-controlled heterogeneity models do not develop a significant fire front and do not generate any significant enthalpy after 5 years. The other models generate enthalpy after 5 years, with the cube models generating earlier than others.</p>
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<p>Graph of the temperature difference compared to the base–case cube model to determine the different effects on the peak average temperature when changing the geometry of the reservoir for each heterogeneity. (<b>a</b>) Homogeneous reservoir. (<b>b</b>) Randomly distributed heterogeneity. (<b>c</b>) Facies-controlled (channel) heterogeneity. (<b>d</b>) Layered reservoir.</p>
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<p>Graph of the velocity difference compared to the base–case cube model to ascertain the different effects on the velocity when changing the geometry of the reservoir for each heterogeneity. (<b>a</b>) Homogeneous reservoir. (<b>b</b>) Randomly distributed heterogeneity. (<b>c</b>) Facies-controlled (channel) heterogeneity. (<b>d</b>) Layered reservoir.</p>
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<p>Graph of the propagation angle difference compared to the base–case cube model to ascertain the different effects on the propagation angle when changing the geometry of the reservoir for each heterogeneity. (<b>a</b>) Homogeneous reservoir. (<b>b</b>) Randomly distributed heterogeneity. (<b>c</b>) Facies-controlled (channel) heterogeneity. (<b>d</b>) Layered reservoir.</p>
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<p>Graphs of the temperature difference compared to the base–case homogeneous model to illustrate the different effects of the changing petrophysical heterogeneity for each reservoir geometry. (<b>a</b>) Cube model. (<b>b</b>) Periclinal fold model. (<b>c</b>) Tilted fault block model.</p>
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<p>Graphs of the velocity difference compared to the base–case homogeneous model to illustrate the different effects of the changing petrophysical heterogeneity for each reservoir geometry. (<b>a</b>) Cube model. (<b>b</b>) Periclinal fold model. (<b>c</b>) Tilted fault block model.</p>
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<p>Graphs of the propagation angle difference compared to the base–case homogeneous model to illustrate the different effects of the changing petrophysical heterogeneity for each reservoir geometry. (<b>a</b>) Cube model. (<b>b</b>) Periclinal fold model. (<b>c</b>) Tilted fault block model.</p>
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<p>Box and whisker pots of the difference between the cube and the other geometries, and between the homogeneous reservoir with the heterogeneous reservoirs, showing the interquartile ranges, median average and outliers. (<b>a</b>) Overall effects of temperature. (<b>b</b>) Overall effects on velocity. (<b>c</b>) Overall effects on propagation angle.</p>
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20 pages, 21002 KiB  
Article
The Influence of Short-Term Water Level Fluctuations on the Habitat Response and Ecological Fragility of Siberian Cranes in Poyang Lake, China
by Xin Li, Bisong Hu, Shuhua Qi and Jin Luo
Remote Sens. 2024, 16(23), 4431; https://doi.org/10.3390/rs16234431 - 27 Nov 2024
Viewed by 1629
Abstract
The landscape of the Poyang Lake wetland is significantly influenced by changes in water levels, impacting the distribution of habitats for migratory birds. While long-term effects of water level variations have been extensively studied, short-term impacts on Siberian crane habitats and their ecological [...] Read more.
The landscape of the Poyang Lake wetland is significantly influenced by changes in water levels, impacting the distribution of habitats for migratory birds. While long-term effects of water level variations have been extensively studied, short-term impacts on Siberian crane habitats and their ecological vulnerability remain poorly understood. This study utilized 35 years (1987–2022) of Landsat remote sensing data and daily water level records from Poyang Lake to examine the effects of short-term water level fluctuations on the spatial distribution and ecological vulnerability of Siberian crane habitats. The geographic detector method was employed to quantify the explanatory power and interaction effects of factors, including short-term water level fluctuations, on ecological vulnerability. The findings reveal significant differences in the habitats of wintering Siberian cranes across various water level intervals and short-term fluctuation patterns. Short-term water level fluctuations can result in the largest suitable wintering habitat area for Siberian cranes, reaching 1856.41 km2 in this study. These habitats are highly sensitive to short-term water level changes, with rising and falling trends potentially leading to habitat loss. Oscillating water levels in the short term create broader and more concentrated habitats. Notably, fluctuations at low water levels support the sustainability and stability of crane habitats. Furthermore, short-term water level trends and nature reserves play a critical role in maintaining habitat ecological vulnerability; well-managed and protected nature reserves exhibit significant explanatory power, both in single-factor analysis and in their interaction with other environmental factors. Specifically, these protected areas show explanatory power exceeding the 20% threshold for both water level fluctuations and ranges, highlighting the crucial role of anthropogenic management in mitigating ecological vulnerability. This study emphasizes the necessity of scientifically informed regulation of short-term water level fluctuations to protect Siberian crane habitats and provides a strong scientific basis for decision-making support. Full article
(This article belongs to the Section Biogeosciences Remote Sensing)
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Figure 1
<p>Location and landscape of the study area: (<b>a</b>) locations of the Poyang Lake wetland and the used training/testing points for landscape classification; (<b>b</b>) land use map of the Poyang Lake wetland landscape, highlighting suitable Siberian crane habitat areas (shallow water, soft mudflat, and grassland).</p>
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<p>An outline of the research contents and technical process of this study.</p>
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<p>(<b>a</b>) A comparison of the dataset on the wintering Siberian crane habitat area in the Poyang Lake wetland from 1987 to 2022, obtained through image interpretation, with daily water level measurements from the hydrological station. (<b>b</b>) An analysis of changes in the wintering Siberian crane habitat area in Poyang Lake in relation to water level fluctuations.</p>
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<p>Changes in the average area of suitable habitats caused by the three water level fluctuation trends in the “short term” (16 days). Panels a-l compare the three fluctuation trends—rising, falling, and oscillating—across four water intervals: extremely low water level interval (<b>a</b>–<b>c</b>), low water (<b>d</b>–<b>f</b>), average water (<b>g</b>–<b>i</b>), and high water (<b>j</b>–<b>l</b>). The red, blue, and green lines represent rising, falling, and oscillating trends. The shaded areas indicate the standard error range for short-term water level fluctuations, based on multiple image datasets within the same water level interval and fluctuation trend. Unshaded areas (<b>a</b>,<b>l</b>) denote cases where only one image data point is available for analysis.</p>
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<p>Sustainability of Siberian crane habitats under varying water level intervals and fluctuation trends. The figure demonstrates how various water level fluctuations, including rising trends (<b>a</b>–<b>c</b>), falling trends (<b>d</b>–<b>g</b>), and oscillating trends (<b>h</b>–<b>j</b>), influence the sustainability across different water levels.</p>
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<p>Stability of Siberian Crane habitats under varying water level intervals and fluctuation trends. The figure shows how various water level fluctuations, including rising trends (<b>a</b>–<b>c</b>), falling trends (<b>d</b>–<b>g</b>), and oscillating trends (<b>h</b>–<b>j</b>), influence the stability across different water levels.</p>
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<p>Variety of Siberian crane habitats under varying water level intervals and fluctuation trends. The figure illustrates how various water level fluctuations, including rising trends (<b>a</b>–<b>c</b>), falling trends (<b>d</b>–<b>g</b>), and oscillating trends (<b>h</b>–<b>j</b>), influence the variety across different water levels.</p>
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<p>(<b>a</b>–<b>c</b>) are heat maps displaying the interaction of geographic detector factors, representing sustainability, stability, and variety under ecological vulnerability, respectively. The factors X<sub>1</sub>,X<sub>2</sub>, X<sub>3</sub>, and X<sub>4</sub> denote the four influencing variables: water level interval, short-term water level trend, sub-lake, and nature reserve. (<b>d</b>) shows the risk detection analysis of the average habitat area under short-term rising, falling, and oscillating water level trends.</p>
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12 pages, 2122 KiB  
Review
Long-Term Stability in Temporomandibular Joint Replacement: A Review of Related Variables
by Erick Vargas, Victor Ravelo, Majeed Rana, Alejandro Unibazo and Sergio Olate
Dent. J. 2024, 12(11), 372; https://doi.org/10.3390/dj12110372 - 20 Nov 2024
Viewed by 880
Abstract
Background: The temporomandibular joint (TMJ) is a key component of the stomatognathic system, playing a major role in maintaining mandibular stability and function. Temporomandibular disorders (TMDs) are a prevalent disease in the world, with surgical treatment being reserved for complex cases or end-stage [...] Read more.
Background: The temporomandibular joint (TMJ) is a key component of the stomatognathic system, playing a major role in maintaining mandibular stability and function. Temporomandibular disorders (TMDs) are a prevalent disease in the world, with surgical treatment being reserved for complex cases or end-stage TMJ disease. A narrative review was conducted to describe the quantitative and qualitative factors that affect TMJ prosthesis stability. Methods: Studies with a sample size equal to or greater than 10 subjects who underwent surgical procedures for joint replacement using stock or customized ATM prostheses were included. This narrative review examined some variables that may influence in terms of the longevity of the TMJ prosthesis, highlighting issues to be considered in future research. Results: The current development of TMJ prostheses is benefiting from technological advances, offering a suitable adaptation to the patient’s anatomy and superior results in functionality and patient satisfaction. However, the biomechanical complexity of the TMJ shows unique challenges compared to other joints in the body, where anatomical, biomechanical, and functional requirements are high. The stability of the TMJ prosthesis is affected by multiple variables, including the selection of biocompatible materials that resist corrosion and wear, the design of the prosthesis, the diagnosis and indication for its use, and the surgeon’s experience. The success of TMJ replacement can be measured by improving the patient’s quality of life, reducing pain, restoring mandibular functionality, and recovering suitable facial morphology for the patient’s conditions. Conclusion: There is a need for training of maxillofacial surgeons in TMJ surgery and replacement, as well as a greater focus on the research and development of systems to simplify surgical design and procedures and to optimize the results of TMJ replacement. Full article
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<p>(<b>A</b>) End-stage TMJ disease, (<b>B</b>) TMJ replacement planning using a personalized system, (<b>C</b>) postoperative results showing a good fit between fossa and condyle component, (<b>D</b>) TMJ replacement with orthognathic surgery in the same procedure. (Author’s case, TMJ prosthesis by Artfix Implants (Pinhais—PR, Brazil)).</p>
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<p>Author’s case: healthy temporomandibular joint. (<b>A</b>) Frontal section. (<b>B</b>) Sagittal section. Position in the fossa, bone volume, density, morphology, and corticalization is observed in those images.</p>
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<p>(<b>A</b>) Stock TMJ replacement system; in surgery, can be used as a template to choose the best size for the surgery, (<b>B</b>) surgical guide used in patient-specific implant (PSI) for TMJ replacement, (<b>C</b>) skeletal symmetry obtained in orthognathic surgery and TMJ replacement using PSI.</p>
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<p>(<b>A</b>) Finite element analysis (FEA) in a regular PSI for TMJ replacement showing stress distribution in the upper screw in the condyle component. (<b>B</b>) FEA in an extended design showing stress distribution in the posterior screws and in the posterior area of the fossa component.</p>
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20 pages, 12038 KiB  
Article
Numerical Computation-Based Analysis of Blasting Vibration Effects and Slope Stability in an Open-Pit Quarry
by Botao Fu, Huaijun Ji, Jingjing Pei and Jie Wei
Fire 2024, 7(11), 420; https://doi.org/10.3390/fire7110420 - 18 Nov 2024
Cited by 1 | Viewed by 534
Abstract
With the large-scale exploitation of mineral resources, the safety problems of open-pit slopes and dumps become increasingly prominent. In this work, the safety demonstration of the interaction between the eastside slope of an open-pit quarry and the dump was carried out. Firstly, the [...] Read more.
With the large-scale exploitation of mineral resources, the safety problems of open-pit slopes and dumps become increasingly prominent. In this work, the safety demonstration of the interaction between the eastside slope of an open-pit quarry and the dump was carried out. Firstly, the influence of blasting vibration on the stability of the eastside slope and the dump was analyzed, and the propagation law of blasting vibration wave and the attenuation law of velocity were obtained. Secondly, the finite element analysis of the seepage field of the slope was carried out, and the basic seepage parameters of the rock and soil were determined. Then, the limit equilibrium analysis method was used to quantitatively calculate the stability of the eastside slope of the stope under the load of the dump to assess landslide risk. The results show that no landslides would occur at the dump or affect the performance of the slope, and that the slope was able to reach the required safety reserve factor. Then, through the finite element analysis of the 3-3 profile, it was found that the deformation caused by the excavation unloading of the eastside slope was mainly concentrated in the lower part of the slope, and the displacement variation caused by the top area of the slope was about 0~10 mm. The research verified the stability of slope and dump, which provides technical support for slope project design and blast operation in open-pit quarries. Full article
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<p>Eastside slope of the open-pit quarry.</p>
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<p>Waveforms of slope monitoring points.</p>
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<p>Waveforms of slope monitoring points.</p>
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<p>Waveforms of dump monitoring points.</p>
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<p>Waveforms of dump monitoring points.</p>
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<p>Schematic of a triangular element.</p>
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<p>Small columnar elements in diving seepage fields.</p>
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<p>Layout of typical profiles.</p>
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<p>The 3-3 generalized geological model of profile slopes.</p>
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<p>Seepage results for the 3-3 profile of the current and end slope.</p>
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<p>Stability results of the current slope in the 3-3 profile.</p>
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<p>Stability results of the end slope in the 3-3 profile.</p>
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<p>Displacement diagram for 3-3 profile slope excavation.</p>
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26 pages, 362 KiB  
Article
Sustainability Implications of Commodity Price Shocks and Commodity Dependence in Selected Sub-Saharan Countries
by Richard Wamalwa Wanzala and Lawrence Ogechukwu Obokoh
Sustainability 2024, 16(20), 8928; https://doi.org/10.3390/su16208928 - 15 Oct 2024
Viewed by 1238
Abstract
Sub-Saharan economies often rely heavily on a narrow range of commodities, making them particularly vulnerable to price fluctuations in global markets. This volatility predisposes these countries to economic instability, threatening short-term growth and long-term development goals. As a result, this study examines the [...] Read more.
Sub-Saharan economies often rely heavily on a narrow range of commodities, making them particularly vulnerable to price fluctuations in global markets. This volatility predisposes these countries to economic instability, threatening short-term growth and long-term development goals. As a result, this study examines the sustainability implications of commodity price volatility and commodity dependence for 31 Sub-Saharan African countries from 2000 to 2023. Eleven agricultural commodity-dependent countries, six energy commodity-dependent countries, and fourteen mineral and metal ore-dependent countries were chosen. This study uses balanced annual panel data from World Development Indicators, World Bank Commodity Price Data, and Federal Reserve Bank Data. The data were analyzed using the VECM, and this study’s findings were threefold and unanimous for all three categories of commodities (agricultural, energy and mineral, and metal ore). First, commodity dependence is positively related to economic growth, suggesting that higher commodity prices benefit the economy in the long run. Second, commodity price volatility is negatively related to economic growth, indicating adverse impacts on economic stability in the long run. Third, commodity dependence is positively related to commodity price volatility in the long run. By analyzing the interconnectedness of these factors, this study underscores the need for diversified economic policies and sustainable practices to reduce vulnerability and promote sustainable development in the region. The findings highlight the critical role of strategic resource management and policy interventions in achieving economic stability and ensuring the well-being of future generations. Full article
26 pages, 1177 KiB  
Article
Savings and Sustainable Economic Growth Nexus: A South African Perspective
by Richard Wamalwa Wanzala and Lawrence Ogechukwu Obokoh
Sustainability 2024, 16(20), 8755; https://doi.org/10.3390/su16208755 - 10 Oct 2024
Viewed by 1478
Abstract
The savings behavior of individuals has been a topic of both macroeconomic and policy importance throughout history. Theoretical and empirical research shows that savings result from several demographic and economic factors working together to produce long-term, sustainable economic growth. This study therefore examined [...] Read more.
The savings behavior of individuals has been a topic of both macroeconomic and policy importance throughout history. Theoretical and empirical research shows that savings result from several demographic and economic factors working together to produce long-term, sustainable economic growth. This study therefore examined the nexus between domestic savings and sustainable economic growth in a South African perspective between 1990–2023, emphasizing the critical role that savings play in fostering long-term economic stability and environmental resilience. The ARDL framework was used to analyze data from the World Bank and the South African Reserve Bank. The results of the study demonstrate that corporate savings have a major effect on sustainable economic growth, especially over the long term. When corporate savings rise by 1%, the economy expands by 3.12%, which highlights the significant multiplier effect of investment. The extent of this impact depends on factors such as the efficiency of capital allocation, technological capacity, financial market development, government policies, and macroeconomic stability. These factors collectively determine how effectively corporate savings are transformed into productive investments that drive sustainable economic growth. Conversely, savings made by the government and the public, especially in the long run, have no appreciable impact on sustainable economic growth. Given that domestic savings mobilization is the most suitable channel for financing capital accumulation to support economic growth and development, the study suggests reviewing current policies to encourage domestic savings mobilization. This paper contributes to the broader discourse on sustainable economic policies in emerging markets, offering actionable insights for policymakers, financial institutions, and stakeholders promoting a more sustainable economic future for South Africa. Full article
(This article belongs to the Special Issue Development Economics and Sustainable Economic Growth)
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<p>The CUSUM test. Source: authors’ computation.</p>
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<p>The CUSUM of square charts. Source: authors’ computation.</p>
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13 pages, 2454 KiB  
Article
The Protection and Management of Wapiti in Desert Oases: Bare Land Poses a Limitation to Wapiti Conservation
by Fujie Qiao, Hairong Du, Xia Zhang, Caiping Feng, Zhihua Tan, Yanqin Yu and Zhensheng Liu
Biology 2024, 13(9), 737; https://doi.org/10.3390/biology13090737 - 20 Sep 2024
Viewed by 647
Abstract
The Helan Mountains, situated in the heart of the desert, act as a dividing line between China’s arid and semi-arid zones. Often referred to as a “desert oasis”, they create an ecological island with a uniquely distinctive geographical location, making this area a [...] Read more.
The Helan Mountains, situated in the heart of the desert, act as a dividing line between China’s arid and semi-arid zones. Often referred to as a “desert oasis”, they create an ecological island with a uniquely distinctive geographical location, making this area a focal point of contemporary research. Ungulates play a critical role in this ecosystem. The Alashan wapiti (Cervus canadensis alashanicus), an isolated population of China’s smallest wapiti (Cervus canadensis) subspecies, is found exclusively within the Helan Mountains Nature Reserve. The conservation of this isolated population is fraught with challenges, particularly during winter, the harshest season for northern ungulates. Winter habitats are crucial for ensuring population stability. Therefore, we used certain methods, such as factor screening and model parameter optimization to assess habitat suitability using multi-scale species distribution models. The optimized results show that suitable habitats overlap with areas of high vegetation coverage in the Helan Mountains, covering just 588.32 km2, which is less than a quarter of the reserve’s total area. The bare land area and winter NDVI are the two primary factors influencing habitat suitability, with other factors having minimal impact, underscoring the critical importance of food resources for the Alashan wapiti. The limited availability of these resources poses significant conservation challenges. Our findings provide a more precise foundation for targeted habitat protection and restoration efforts. We recommend enhancing the protection and restoration of food resources, effectively conserving vegetated areas, and preventing desertification. Full article
(This article belongs to the Section Ecology)
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<p>Images of female and male <span class="html-italic">Alashan wapiti</span>.</p>
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<p>Map of the study area’s geographical location: (<b>A</b>): Google Earth image of the study region, showing higher vegetation coverage in the central part of the protected area. (<b>B</b>): The protected area is surrounded by the Ulan Buh Desert, the Tengger Desert, and the Maowusu Desert, forming an ecological island. (<b>C</b>): The location of the protected area within China.</p>
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<p>The optimal scale of the variable after AUC screening.</p>
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<p>Pearson correlation test results of each variable.</p>
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<p>AICc and ΔAICc of the MaxEnt model under different combination of characteristic types and regularized multiplicators.</p>
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<p>Habitat suitability maps of <span class="html-italic">Alashan wapiti</span> based on the optimal scale determined through combinatorial optimization.</p>
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<p>Contribution rates of factors determined through combination optimization for the optimal scale.</p>
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<p>Response curves for the top two environmental covariates in terms of contribution.</p>
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21 pages, 3328 KiB  
Article
Lebanon’s Economic Development Risk: Global Factors and Local Realities of the Shadow Economy Amid Financial Crisis
by Samar F. Abou Ltaif, Simona Mihai-Yiannaki and Alkis Thrassou
Risks 2024, 12(8), 122; https://doi.org/10.3390/risks12080122 - 31 Jul 2024
Viewed by 1436
Abstract
The shadow economy’s size and impact remain subjects of extensive research and debate, holding significant implications for economic policy and social welfare. In Lebanon, the ongoing crisis since 2019 has exacerbated severe economic challenges, with the national currency’s collapse, bank crisis, and foreign [...] Read more.
The shadow economy’s size and impact remain subjects of extensive research and debate, holding significant implications for economic policy and social welfare. In Lebanon, the ongoing crisis since 2019 has exacerbated severe economic challenges, with the national currency’s collapse, bank crisis, and foreign reserve deficits. The World Bank reports Lebanon’s financial deficit surpassed $72 billion, three times the GDP in 2021. Despite a drastic decline in GDP, imports have surged to near-pre-crisis levels, exacerbating economic woes and indicating a constant outflow of foreign currencies. Considering such contracting facts, this paper aims to investigate global factors influencing the shadow economy and discern their manifestations in Lebanon during financial crises. Our methodology involves a comprehensive literature review, alongside a case study approach specific to Lebanon. This dual-method strategy ensures a detailed understanding of the shadow economy’s impact and the development of actionable insights for policy and economic reform. Through this approach, we seek to contribute to a nuanced understanding of Lebanon’s economic landscape and provide valuable guidance for policy decisions aimed at reducing corruption, promoting transparency, and fostering a robust formal economy. The increase in the shadow economy raises the formal economy risk, as resources and activities diverted to informal channels hinder the growth and stability of the official economic sector. Although focusing on Lebanon, this analysis deepens the comprehension of the economic landscape and provides valuable guidance for policymakers, researchers, and stakeholders, aiming to address the root causes of informal economic activities and promote sustainable growth in developing countries in general. Full article
(This article belongs to the Special Issue Financial Analysis, Corporate Finance and Risk Management)
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<p>GDP and import fluctuations in Lebanon from 2010 to 2022 (authors’ compilation of data from <a href="#B9-risks-12-00122" class="html-bibr">Banque du Liban (BDL) 2023b</a>; <a href="#B62-risks-12-00122" class="html-bibr">World Bank 2023b</a>).</p>
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<p>Summary of factors related to the shadow economy (source: author).</p>
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<p>Study methodological steps (<a href="#B47-risks-12-00122" class="html-bibr">Saunders et al. 2007</a>; <a href="#B14-risks-12-00122" class="html-bibr">Braun and Clarke 2006</a>).</p>
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<p>Fiscal balance and government expenditures (authors’ compilation of data from <a href="#B59-risks-12-00122" class="html-bibr">Trading Economics 2023</a>).</p>
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<p>Market exchange rate in Lebanon (graph created by the authors using data from <a href="#B35-risks-12-00122" class="html-bibr">Lirarate 2023</a>).</p>
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<p>Fluctuation in currency in circulation in billions of LBL from January 2018 to September 2023 (graph created by the authors using data from <a href="#B9-risks-12-00122" class="html-bibr">Banque du Liban (BDL) 2023b</a>).</p>
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<p>Main independent variables analyzed related to shadow economy and its impact in Lebanon (source: authors).</p>
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<p>Recommendations to achieve long-term economic sustainability (source: authors).</p>
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19 pages, 4278 KiB  
Article
Responses of Soil Organic Carbon Fractions and Stability to Forest Conversion in the Nanling Nature Reserve, China
by Yifan Li, Fangfang Huang, Yuhui Huang, Wenjuan Li and Mengyun Liu
Forests 2024, 15(8), 1330; https://doi.org/10.3390/f15081330 - 31 Jul 2024
Viewed by 1006
Abstract
Studying the impact of typical vegetation types in forest conversion zones on soil organic carbon (SOC) structure and stability is crucial for developing terrestrial ecosystem carbon sequestration strategies. In this study, we selected three typical forest stands in the Nanling National Nature Reserve: [...] Read more.
Studying the impact of typical vegetation types in forest conversion zones on soil organic carbon (SOC) structure and stability is crucial for developing terrestrial ecosystem carbon sequestration strategies. In this study, we selected three typical forest stands in the Nanling National Nature Reserve: a primary evergreen broad-leaved forest (BL), a secondary mixed coniferous and broad-leaved forest (ML), and a Chinese fir plantation (CL). Soil samples were collected to examine the SOC fractions and carbon pool management index (CPMI) in three forest stands. The influence of soil property factors on SOC fractions was also analyzed. The results showed that the transformation process from a BL to an ML or a CL changed the structure and stability of organic carbon by reducing the labile SOC fractions and increasing the recalcitrant carbon fraction in the soil. The higher lability index (LI) and CPMI of soils in the BL indicated better carbon accumulation and activity, making this treatment more advantageous for management strategies aimed at promoting natural forest renewal and ecological restoration. Correlation and RDA analysis revealed that the availability of soil P was a key factor limiting the variation in organic C fractions in the acidic soils of tropical forests in South China. Full article
(This article belongs to the Topic Forest Carbon Sequestration and Climate Change Mitigation)
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<p>The location of sampling sites in the Nanling Nature Reserve.</p>
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<p>Variations in soil total organic C (SOC) content and storage in different forest stands. <span class="html-italic">SOC</span> indicates the soil total organic carbon content, and <span class="html-italic">SOS</span> indicates the soil total organic carbon storage. Vertical bars represent standard errors (n = 12). Different uppercase and lowercase letters indicate significant differences between different forest stands in SOC contents and stocks, respectively (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Variations in soil water-soluble organic carbon content (WOC-(<b>A</b>)), readily oxidizable carbon content (OXC-(<b>B</b>)), microbial biomass carbon content (MBC-(<b>C</b>)), and recalcitrant carbon content (RC-(<b>D</b>)) in different forest stands. Vertical bars represent standard errors (n = 12). Different letters indicate significant differences between different forest stands (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Variations in the soil WOC proportion (<b>A</b>), OXC proportion (<b>B</b>), MBC proportion (<b>C</b>), and RC proportion (<b>D</b>) in the different forest stands. Vertical bars represent standard errors (n = 12). Different letters indicate significant differences between different forest stands (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Principal component analysis (PCA) of SOC fractions in different forest stands.</p>
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<p>Redundancy analysis of the SOC fractions and environmental factors. Only the environmental factors that were significantly related to the SOC fractions are shown. The red and black lines represent the environmental factors and organic carbon fraction signatures, respectively.</p>
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18 pages, 2718 KiB  
Article
Markers of Mitochondrial Function and DNA Repair Associated with Physical Function in Centenarians
by Ines Sanchez-Roman, Beatriz Ferrando, Camilla Myrup Holst, Jonas Mengel-From, Signe Hoei Rasmussen, Mikael Thinggaard, Vilhelm A. Bohr, Kaare Christensen and Tinna Stevnsner
Biomolecules 2024, 14(8), 909; https://doi.org/10.3390/biom14080909 - 26 Jul 2024
Viewed by 1721
Abstract
Mitochondrial dysfunction and genomic instability are key hallmarks of aging. The aim of this study was to evaluate whether maintenance of physical capacities at very old age is associated with key hallmarks of aging. To investigate this, we measured mitochondrial bioenergetics, mitochondrial DNA [...] Read more.
Mitochondrial dysfunction and genomic instability are key hallmarks of aging. The aim of this study was to evaluate whether maintenance of physical capacities at very old age is associated with key hallmarks of aging. To investigate this, we measured mitochondrial bioenergetics, mitochondrial DNA (mtDNA) copy number and DNA repair capacity in peripheral blood mononuclear cells from centenarians. In addition, circulating levels of NAD+/NADH, brain-derived neurotrophic factor (BDNF) and carbonylated proteins were measured in plasma and these parameters were correlated to physical capacities. Centenarians without physical disabilities had lower mitochondrial respiration values including ATP production, reserve capacity, maximal respiration and non-mitochondrial oxygen-consumption rate and had higher mtDNA copy number than centenarians with moderate and severe disabilities (p < 0.05). In centenarian females, grip strength had a positive association with mtDNA copy number (p < 0.05), and a borderline positive trend for activity of the central DNA repair enzyme, APE 1 (p = 0.075), while a negative trend was found with circulating protein carbonylation (p = 0.07) in the entire cohort. Lastly, a trend was observed for a negative association between BDNF and activity of daily living disability score (p = 0.06). Our results suggest that mechanisms involved in maintaining mitochondrial function and genomic stability may be associated with maintenance of physical function in centenarians. Full article
(This article belongs to the Special Issue Mechanisms and Novel Biomarkers Underlying Aging and Longevity)
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<p>Grip strength correlates positively with cognition, measured as MMSE (Mini Mental State Examination) in female centenarians. The association between cognitive scores, measured as MMSE and grip strength was tested using a Pearson correlation in women (n = 93; <span class="html-italic">p</span> = 0.0001, r = 0.39) and men (n = 27; <span class="html-italic">p</span> = 0.18, r = 0.264). A tendency line is plotted when the correlation analysis is significant.</p>
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<p>Higher cognitive score (MMSE) is associated with a lower ADL disability score. The association between the cognitive measurement, MMSE and the ADL disability score was assessed by a Kruskal–Wallis test (n = 120; <span class="html-italic">p</span> = 0.0001) followed by a Dunn test pairwise comparison with Bonferroni correction (*** indicates differences in comparison to nondisabled; *** <span class="html-italic">p</span>&lt; 0.001). Median ± IQR (interquartile range) is shown.</p>
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<p>Mitochondrial DNA copy number correlates positively with grip strength in female centenarians. The association between grip strength and mtDNA copy number was tested using a Spearman rank correlation in women (n = 84; <span class="html-italic">p</span> = 0.04; rho = 0.22) and men (n = 24; <span class="html-italic">p</span> = 0.25; rho = 0.24).</p>
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<p>(<b>a</b>) ATP linked OCR, (<b>b</b>) Maximal Respiration, (<b>c</b>) Reserve capacity and (<b>d</b>) Non-mitochondrial OCR are associated positively with ADL disability score. The association between mitochondrial parameters and ADL disability score was assessed by a quantile regression of the median (<a href="#app1-biomolecules-14-00909" class="html-app">Supplementary Table S3</a>) in women (n = 84) and men (n = 25) after adjustment by sex (<b>a</b>) <span class="html-italic">p</span> = 0.03; coefficient = 1.0; (<b>b</b>) <span class="html-italic">p</span> = 0.03; coefficient = 4.58; (<b>c</b>) <span class="html-italic">p</span> = 0.01; coefficient = 4.18; (<b>d</b>) <span class="html-italic">p</span> = 0.01; coefficient = 0.19. For a description of the statistical analyses performed, see <a href="#app1-biomolecules-14-00909" class="html-app">Supplementary Table S3</a>. Each value represents the mean of 2–5 replicates. Median ± IQR (interquartile range) is shown. Bars indicate median.</p>
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<p>Mitochondrial DNA copy number is negatively associated with the ADL Disability score. Centenarians nondisabled according to the ADL disability score showed higher values of mtDNA copy number in their PBMCs in comparison to centenarians moderately and severely disabled. The association between the disability score and mtDNA copy number in women (n = 84) and men (n = 24) was assessed by a Kruskal–Wallis test (<span class="html-italic">p</span> = 0.04) followed by Dunn’s multiple comparison test with Bonferroni correction (* indicates differences to nondisabled) and a quantile regression of the median (<a href="#app1-biomolecules-14-00909" class="html-app">Supplementary Table S3</a>).</p>
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<p>PBMC APE1 activity correlation with grip strength in female centenarians. The association between grip strength and APE1 activity was tested using a Pearson correlation (<span class="html-italic">p</span> = 0.07; r = 0.21 in females; n = 68 and <span class="html-italic">p</span> = 0.92, r = 0.02 in males; n = 16).</p>
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<p>Protein carbonylation correlation with hand grip strength. The association between grip strength and protein carbonylation in centenarians’ plasma samples was tested using a Pearson correlation in the whole cohort (<span class="html-italic">p</span> = 0.07; r = −0.17; n = 108).</p>
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<p>BDNF level is negatively associated with ADL disability score. The association between both ADL disability score and BDNF in women (n = 84) and men (n = 24) was tested using a Kruskal–Wallis test (<span class="html-italic">p</span> = 0.06) followed by Dunn’s multiple comparison test with Bonferroni correction (* indicates differences to nondisabled).</p>
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18 pages, 626 KiB  
Article
Practice of Territorial Use Rights in Fisheries in Coastal Fishery Management in China: A Case Study of the Island Reefs Fishery Lease Policy from Shengsi County in Zhejiang Province
by Minsi Xiong and Zuli Wu
Fishes 2024, 9(7), 292; https://doi.org/10.3390/fishes9070292 - 22 Jul 2024
Viewed by 866
Abstract
Coastal fisheries are vital for food supply, employment, and social stability. However, overfishing is a common problem, often attributed to open access. Territorial Use Rights in Fisheries (TURFs) have gained popularity as a tool to improve the sustainability of coastal fisheries, but research [...] Read more.
Coastal fisheries are vital for food supply, employment, and social stability. However, overfishing is a common problem, often attributed to open access. Territorial Use Rights in Fisheries (TURFs) have gained popularity as a tool to improve the sustainability of coastal fisheries, but research on TURFs in China is limited. This paper examines the island reef fishery lease policy implemented in Shengsi County, Zhejiang Province, within the Ma’an Islands National Marine Special Reserve. The policy leases the use of island reefs to a collective, aiming to address overfishing and resource degradation by establishing fishing area boundaries and limiting the number of users and usage time. Technically, it is an application of TURFs, and it represents a shift from traditional fishing licenses to collective compliance. This experience has disrupted the existing top–down fishery governance structure and signifies a transition to a rights-based fishery management system in China. Through a comprehensive investigation and analysis of the policy’s implementation, this research identifies the factors contributing to its flaws. These include the inadequate provision of national and local government policies, insufficient support for policy implementation from fishery management authorities, and the limited involvement of fishermen’s organizations. To enhance coastal fishery management, we propose that the Chinese government should build upon existing foundations by clarifying fishing rights through central and local laws and policies. Additionally, there is a need to strengthen data monitoring of coastal fisheries, conduct multidisciplinary research to improve the allocation mechanism of fishing rights, adopt diverse fishery management approaches to enhance supervision capabilities, establish a collaborative governance mechanism, and foster coordination and cooperation between grassroots fishermen’s organizations and government departments. Full article
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<p>Geographical positioning of Shengsi and the Ma’an Islands National Marine Special Reserve (the yellow area is designated as the pilot area for the Island Reefs Fishery Lease Policy).</p>
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21 pages, 11071 KiB  
Article
Dynamical Analysis and Sliding Mode Controller for the New 4D Chaotic Supply Chain Model Based on the Product Received by the Customer
by Muhamad Deni Johansyah, Sundarapandian Vaidyanathan, Aceng Sambas, Khaled Benkouider, Seyed Mohammad Hamidzadeh and Monika Hidayanti
Mathematics 2024, 12(13), 1938; https://doi.org/10.3390/math12131938 - 22 Jun 2024
Cited by 2 | Viewed by 847
Abstract
Supply chains comprise various interconnected components like suppliers, manufacturers, distributors, retailers, and customers, each with unique variables and interactions. Managing dynamic supply chains is highly challenging, particularly when considering various sources of risk factors. This paper extensively explores dynamical analysis and multistability analysis [...] Read more.
Supply chains comprise various interconnected components like suppliers, manufacturers, distributors, retailers, and customers, each with unique variables and interactions. Managing dynamic supply chains is highly challenging, particularly when considering various sources of risk factors. This paper extensively explores dynamical analysis and multistability analysis to understand nonlinear behaviors and pinpoint potential risks within supply chains. Different phase portraits are used to demonstrate the impact of various factors such as transportation risk, quality risk, distortion, contingency reserves, and safety stock on both customers and retailers. We introduced a sliding mode control method that computes the sliding surface and its derivative by considering the error and its derivative. The equivalent control law based on the sliding surface and its derivative is derived and validated for control purposes. Our results show that the controller SMC can significantly enhance supply chain stability and efficiency. This research provides a robust framework for understanding complex supply chain dynamics and offers practical solutions to enhance supply chain resilience and flexibility. Full article
(This article belongs to the Special Issue Nonlinear Dynamics, Chaos and Complex Systems)
Show Figures

Figure 1

Figure 1
<p>MATLAB simulation for System (4): (<b>a</b>) x-y plane, (<b>b</b>) y-z plane, (<b>c</b>) z-w plane, and (<b>d</b>) x-w plane.</p>
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<p>Chaotic exhibition of System (4): (<b>a</b>) bifurcation diagram, (<b>b</b>) Lyapunov exponents, (<b>c</b>) x-y chaotic attractor for a = 6, (<b>d</b>) x-y periodic attractor for a = 18.</p>
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<p>Chaotic exhibition of System (4): (<b>a</b>) bifurcation diagram, (<b>b</b>) Lyapunov exponents, (<b>c</b>) x-z periodic attractor for b = 0.3, (<b>d</b>) x-z chaotic attractor for b = 2.</p>
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<p>Chaotic exhibition of System (4): (<b>a</b>) bifurcation diagram, (<b>b</b>) Lyapunov exponents, (<b>c</b>) x-w chaotic attractor for c = 110, (<b>d</b>) x-w periodic attractor for c = 89.</p>
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<p>Chaotic exhibition of System (4): (<b>a</b>) bifurcation diagram, (<b>b</b>) Lyapunov exponents, (<b>c</b>) x-w chaotic attractor for c = 110, (<b>d</b>) x-w periodic attractor for c = 89.</p>
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<p>Chaotic exhibition of System (4): (<b>a</b>) bifurcation diagram, (<b>b</b>) Lyapunov exponents, (<b>c</b>) y-z periodic attractor for d = −27, (<b>d</b>) y-z chaotic attractor for d = 1.</p>
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<p>Chaotic exhibition of System (4): (<b>a</b>) bifurcation diagram, (<b>b</b>) Lyapunov exponents, (<b>c</b>) y-z periodic attractor for d = −27, (<b>d</b>) y-z chaotic attractor for d = 1.</p>
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<p>Chaotic exhibition of System (4): (<b>a</b>) bifurcation diagram, (<b>b</b>) Lyapunov exponents, (<b>c</b>) y-w chaotic attractor for p = 3, (<b>d</b>) y-w periodic attractor for p = 9.8.</p>
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<p>Chaotic exhibition of System (4): (<b>a</b>) bifurcation diagram, (<b>b</b>) two coexisting chaotic attractors for c = 135, (<b>c</b>) two coexisting chaotic attractors for c = 140, (<b>d</b>) two coexisting chaotic attractors for c = 145, (<b>e</b>) two coexisting periodic attractors for c = 147, (<b>f</b>) two coexisting periodic attractors for c = 190.</p>
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<p>Block diagram of the design steps of the sliding model controller.</p>
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<p>Elimination of chaotic behavior in 4D supply chain with the proposed sliding model control method.</p>
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<p>Behavior of the proposed sliding model controller.</p>
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<p>The behavior of the sliding surface.</p>
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<p>Chaos removal and optimal value tracking under the proposed sliding model controller.</p>
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<p>The behavior of the sliding model controller in order to track the desired values after removing the chaos.</p>
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<p>Chaotic supply chain behavior with changing values <math display="inline"><semantics> <mrow> <msub> <mi>ζ</mi> <mi>x</mi> </msub> <mo>,</mo> <mo> </mo> <msub> <mi>ζ</mi> <mi>y</mi> </msub> <mo>,</mo> <mo> </mo> <msub> <mi>ζ</mi> <mi>z</mi> </msub> <mo>,</mo> <mo> </mo> <msub> <mi>ζ</mi> <mi>w</mi> </msub> </mrow> </semantics></math>.</p>
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<p>The behavior of the sliding model controller for removing chaotic supply chain behavior with changing values <math display="inline"><semantics> <mrow> <msub> <mi>ζ</mi> <mi>x</mi> </msub> <mo>,</mo> <mo> </mo> <msub> <mi>ζ</mi> <mi>y</mi> </msub> <mo>,</mo> <mo> </mo> <msub> <mi>ζ</mi> <mi>z</mi> </msub> <mo>,</mo> <mo> </mo> <msub> <mi>ζ</mi> <mi>w</mi> </msub> </mrow> </semantics></math>.</p>
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