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17 pages, 8529 KiB  
Article
Impact of Application Rate and Spray Nozzle on Droplet Distribution on Watermelon Crops Using an Unmanned Aerial Vehicle
by Luis Felipe Oliveira Ribeiro and Edney Leandro da Vitória
Agriculture 2024, 14(8), 1351; https://doi.org/10.3390/agriculture14081351 - 13 Aug 2024
Abstract
Watermelon is one of the most commonly grown vegetable crops worldwide due to the economic and nutritional importance of its fruits. The yield and quality of watermelon fruits are affected by constant attacks from pests, diseases, and weeds throughout all phenological stages of [...] Read more.
Watermelon is one of the most commonly grown vegetable crops worldwide due to the economic and nutritional importance of its fruits. The yield and quality of watermelon fruits are affected by constant attacks from pests, diseases, and weeds throughout all phenological stages of the crop. Labor shortages and unevenness of pesticide applications using backpack and tractor sprayers are significant challenges. The objective of this study was to evaluate the effect of different spray nozzles (XR110015 and MGA60015) and application rates (8, 12, and 16 L ha−1) on droplet distribution on different targets in watermelon plants using an unmanned aerial vehicle. Water-sensitive papers were used as targets to analyze the droplet coverage, deposition, density, and volume median diameter. Data were collected from targets placed on the leaf adaxial and abaxial sides, fruit, apical bud, and stem of each plant. The mean droplet coverage and density increased as the application rate was increased, with no significant interaction between the factors or statistical difference between spray nozzles, except for the leaf abaxial side. No significant differences were found for the variables analyzed at application rates of 12 and 16 L ha−1, whereas significant differences were observed at 8 L ha−1. The use of unmanned aerial vehicles in watermelon crops is efficient; however, further studies should be conducted to evaluate their effectiveness in pest control and compare them with other application methods. Full article
(This article belongs to the Special Issue Advances in Modern Agricultural Machinery)
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<p>(<b>a</b>) Location of the state of Espirito Santo in Brazil, (<b>b</b>) city of São Mateus in the state of Espirito Santo, (<b>c</b>) Experimental Farm of the Federal University of Espirito Santo, (<b>d</b>) experimental area.</p>
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<p>Unmanned aerial vehicle used in the experiment.</p>
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<p>(<b>a</b>) Experimental design, (<b>b</b>) aerial photography of the experimental area, (<b>c</b>) unmanned aerial vehicle application route, and (<b>d</b>) target area used for data collection.</p>
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<p>Water-sensitive papers fixed on watermelon plant parts: (<b>a</b>) leaf adaxial side, (<b>b</b>) leaf abaxial side, (<b>c</b>) fruit, (<b>d</b>) apical bud, and (<b>e</b>) stem.</p>
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<p>Wireless system (DropScope<sup>®</sup>; SprayX, São Carlos, Brazil) used for scanning the water-sensitive papers.</p>
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<p>Effects of application rates on droplet coverage and density on the different targets in watermelon plants: leaf adaxial side (<b>a</b>), leaf abaxial side (<b>b</b>), fruit (<b>c</b>), apical bud (<b>d</b>), and stem (<b>e</b>).</p>
Full article ">Figure 7
<p>Droplet deposition (µL cm<sup>−2</sup>) on different targets in watermelon plants: (<b>a</b>) leaf adaxial side (LAD), (<b>b</b>) leaf abaxial side (LAB), (<b>c</b>) fruit (FT), (<b>d</b>) apical bud (AB), and (<b>e</b>) stem (ST). Bars with different letters are significantly different from each other according to Tukey’s test at <span class="html-italic">p</span> ≤ 0.05.</p>
Full article ">Figure 8
<p>Comparison of volume median diameters (µm) on watermelon plant parts, regardless of application rate and spray nozzle factors. Leaf adaxial side (LAD), leaf abaxial side (LAB), fruit (FT), apical bud (AB), and stem (ST).</p>
Full article ">
13 pages, 547 KiB  
Article
Precision Medicine in Childhood Cancer: The Influence of Genetic Polymorphisms on Vincristine-Induced Peripheral Neuropathy
by Luciana Marangoni-Iglecias, Susana Rojo-Tolosa, Noelia Márquez-Pete, Yasmín Cura, Noelia Moreno-Toro, Cristina Membrive-Jiménez, Almudena Sánchez-Martin, Cristina Pérez-Ramírez and Alberto Jiménez-Morales
Int. J. Mol. Sci. 2024, 25(16), 8797; https://doi.org/10.3390/ijms25168797 (registering DOI) - 13 Aug 2024
Abstract
Cancer is the leading cause of disease-related death among children. Vincristine (VCR), a key component of childhood cancer treatment protocols, is associated with the risk of peripheral neuropathy (PN), a condition that may be reversible upon drug discontinuation but can also leave lasting [...] Read more.
Cancer is the leading cause of disease-related death among children. Vincristine (VCR), a key component of childhood cancer treatment protocols, is associated with the risk of peripheral neuropathy (PN), a condition that may be reversible upon drug discontinuation but can also leave lasting sequelae. Single nucleotide polymorphism (SNP) in genes involved in VCR pharmacokinetics and pharmacodynamics have been investigated in relation to an increased risk of PN. However, the results of these studies have been inconsistent. A retrospective cohort study was conducted to investigate the potential association of drug transporter genes from the ATP-binding cassette (ABC) family and the centrosomal protein 72 (CEP72) gene with the development of PN in 88 Caucasian children diagnosed with cancer and treated with VCR. Genotyping was performed using real-time PCR techniques for the following SNPs: ABCB1 rs1128503, ABCC1 rs246240, ABCC2 rs717620, and CEP72 rs924607. The results indicated that age at diagnosis (OR = 1.33; 95% CI = 1.07–1.75) and the ABCC1 rs246240 G allele (OR = 12.48; 95% CI = 2.26–100.42) were associated with vincristine-induced peripheral neuropathy (VIPN). No association was found between this toxicity and CEP72 rs924607. Our study provides insights that may contribute to optimizing childhood cancer therapy in the future by predicting the risk of VIPN Full article
(This article belongs to the Section Molecular Genetics and Genomics)
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<p>Linkage disequilibrium (LD).</p>
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22 pages, 10671 KiB  
Article
A New Species of Brachynemurus Hagen in the B. versutus Subgroup (Neuroptera, Myrmeleontidae, Brachynemurini) from the Sonoran Province, Mexico
by Yesenia Marquez-López, Eder Leonardo Chávez-Valdez, Leon Gustavo de Miranda Tavares and Atilano Contreras-Ramos
Taxonomy 2024, 4(3), 587-608; https://doi.org/10.3390/taxonomy4030029 - 8 Aug 2024
Viewed by 203
Abstract
Brachynemurus bowlesi, sp. n. is a newly discovered myrmeleontid from the Sonoran Province, the northernmost subtropical region of Mexico. The new species fits within the Brachynemurus versutus subgroup, which now includes five species, all of them occurring in Mexico and the central and [...] Read more.
Brachynemurus bowlesi, sp. n. is a newly discovered myrmeleontid from the Sonoran Province, the northernmost subtropical region of Mexico. The new species fits within the Brachynemurus versutus subgroup, which now includes five species, all of them occurring in Mexico and the central and western United States. The new species may be identified by characteristics of the internal male genitalia, especially by a roof-like mediuncus, as well as the basal part of the 10th gonostyli, with paired processes in an acute angle and a shield-like expansion more evident in the dorsocaudal view. The formerly proposed synonymy of Brachynemurus mexicanus Banks, under B. versutus (Walker), is herein reinstated and supported. Full article
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<p><span class="html-italic">Brachynemurus bowlesi</span>, sp. n. and the new species name recipient. (<b>A</b>) Dr. David Bowles (<b>left</b>) in the Symposium of Neuropterology held in Mexico City in 2015, in the company of Dr. Oliver S. Flint, Jr.† (†—deceased) (<b>right</b>). (<b>B</b>) Habitus. (<b>C</b>) Head, thorax, and first abdominal segments in lateral view. (<b>D</b>) Head, frontal. (<b>E</b>) Head and pronotum, dorsal. (<b>B</b>–<b>E</b>) Male holotype.</p>
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<p>Wings of <span class="html-italic">Brachynemurus bowlesi</span>, sp. n. (<b>A</b>) Forewing. (<b>B</b>) Hindwing. (<b>C</b>) Venation of forewing. (<b>D</b>) Venation of hindwing. Abbreviations: A, anal vein; bR, bifurcation of radio; bCu, bifurcation of cubitus; Cu, cubitus vein; CuA, cubitus anterior; CuP, cubitus posterior; Gr, gradates crossveins; HyC, hypostigmatic cell; M, media; MA, media anterior; MP, media posterior; PsCr, presectoral crossveins; PoA, posterior area; R, radius; RA, radius anterior; Rg, rhegma; RP, radius posterior; Sc, subcostal.</p>
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<p>Male genital structures of <span class="html-italic">Brachynemurus bowlesi</span>, sp. n. (<b>A</b>) Male external genitalia, lateral view. (<b>B</b>) Male external genitalia, dorsal view. (<b>C</b>) Male external genitalia, ventral view. (<b>D</b>–<b>I</b>) The 10th gonocoxite—10th gonostylus complex: (<b>D</b>) Closed state, ventrocaudal view. (<b>E</b>) Closed state, lateral view. (<b>F</b>) Closed state, dorsal view. (<b>G</b>) Closed state, ventral view. (<b>H</b>) Everted state, ventrocaudal view. (<b>I</b>) Everted state, lateral view. Abbreviations. Ap, apodeme; bp, basal part; dp, distal part; ggc, 10th gonocoxite—10th gonostylus complex; gst, gonostylus; gx, gonocoxite; ihy, hypandrium internum; med, mediuncus; plt, pelta; pvl, posterior ventral lobe; stn, sternum; ter, tergite.</p>
Full article ">Figure 4
<p>Distribution map and habitat of <span class="html-italic">Brachynemurus versutus</span> subgroup. (<b>A</b>) Specimen records from Colección Nacional de Insectos, Instituto de Biología, UNAM. (<b>B</b>) Vegetation in Rancho Agua Nueva, Álamos, Sonora, Mexico. (<b>C</b>) <span class="html-italic">Brachynemurus bowlesi,</span> sp. n., male on light trap.</p>
Full article ">Figure 5
<p>Maps of <span class="html-italic">Brachynemurs versutus</span> subgroup. (<b>A</b>) Elevation map; star, holotype locality; circles, specimens from CNIN, UNAM; rhombus, records from GBIF database and bibliography. (<b>B</b>) Distribution based on GBIF and bibliographic records.</p>
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<p>Heads in frontal view. (<b>A</b>) <span class="html-italic">Brachynemurus divisus</span>. (<b>B</b>) <span class="html-italic">Brachynemurus elongatus</span>. (<b>C</b>) <span class="html-italic">Brachynemnurus hubbardii</span>. (<b>D</b>) <span class="html-italic">Brachynemurus versutus</span>.</p>
Full article ">Figure 7
<p>Vertex, pronotum, and thorax in dorsal view. (<b>A</b>) <span class="html-italic">Brachynemurus divisus</span>. (<b>B</b>) <span class="html-italic">Brachynemurus elongatus</span>. (<b>C</b>) <span class="html-italic">Brachynemnurus hubbardii</span>. (<b>D</b>) <span class="html-italic">Brachynemurus versutus</span>.</p>
Full article ">Figure 8
<p>Specimens in lateral view. (<b>A</b>) <span class="html-italic">Brachynemurus divisus</span>. (<b>B</b>) <span class="html-italic">Brachynemurus elongatus</span>. (<b>C</b>) <span class="html-italic">Brachynemnurus hubbardii</span>. (<b>D</b>) <span class="html-italic">Brachynemurus versutus</span>, forewing and hindwing. (<b>E</b>) <span class="html-italic">Brachynemurus divisus</span>. (<b>F</b>) <span class="html-italic">Brachynemurus elongatus</span>. (<b>G</b>) <span class="html-italic">Brachynemurus hubbardii</span>. (<b>H</b>) <span class="html-italic">Brachynemurus versutus</span>. Abbreviations: bR, bifurcation of radius; bCu, bifurcation of cubitus; Gr, gradates crossveins; HyC, hypostigmatic cell; PsCr, presectoral crossveins; PoA, posterior area; Rg, rhegma; scale bar in (<b>E</b>–<b>H</b>) = 0.5 mm.</p>
Full article ">Figure 9
<p><span class="html-italic">Brachynemurus versutus</span> subgroup external genitalia. (<b>A</b>–<b>C</b>) <span class="html-italic">Brachynemurus divisus</span>. (<b>D</b>–<b>F</b>) <span class="html-italic">Brachynemurus elongatus</span>. (<b>G</b>–<b>I</b>) <span class="html-italic">Brachynemurus hubbardii</span>. (<b>J</b>–<b>L</b>) <span class="html-italic">Brachynemurus versutus</span>. Abbreviations. ggc, 10th gonocoxite—10th gonostylus complex; pvl, posteroventral lobe; stn, sternum; ter, tergite.</p>
Full article ">Figure 10
<p><span class="html-italic">Brachynemurus versutus</span> subgroup 10th gonocoxite—10th gonostylus complex. (<b>A</b>,<b>B</b>) <span class="html-italic">Brachynemurus divisus</span>. (<b>C</b>,<b>D</b>) <span class="html-italic">Brachynemurus elongatus</span>. (<b>E</b>,<b>F</b>) <span class="html-italic">Brachynemurus hubbardii</span>. (<b>G</b>,<b>H</b>) <span class="html-italic">Brachynemurus versutus</span>. Abbreviations. Ap, apodeme; bp, basal part; dp, distal part; ggc, 10th gonocoxite—10th gonostylus complex; gst, gonostylus; gx, gonocoxite; ihy, hypandrium internum; med, mediuncus; plt, pelta; pvl, posterior ventral lobe.</p>
Full article ">Figure 11
<p>Type specimens. (<b>A</b>) <span class="html-italic">Brachynemurus versutus</span> (Walker), holotype male from the Natural History Museum of London (photographs under CC-BY-4.0 license). (<b>B</b>) <span class="html-italic">Brachynemurus mexicanus</span> Banks, lectotype female from the Museum of Comparative Zoology (photographs under Museum of Comparative Zoology, Harvard University; © President and Fellows of Harvard College license).</p>
Full article ">
15 pages, 3922 KiB  
Article
Towards a Warm Holographic Equation of State by an Einstein–Maxwell-Dilaton Model
by Rico Zöllner and Burkhard Kämpfer
Symmetry 2024, 16(8), 999; https://doi.org/10.3390/sym16080999 - 6 Aug 2024
Viewed by 409
Abstract
The holographic Einstein–Maxwell-dilaton model is employed to map state-of-the-art lattice QCD thermodynamics data from the temperature (T) axis towards the baryon–chemical potential (μB) axis and aims to gain a warm equation of state (EoS) of deconfined QCD matter [...] Read more.
The holographic Einstein–Maxwell-dilaton model is employed to map state-of-the-art lattice QCD thermodynamics data from the temperature (T) axis towards the baryon–chemical potential (μB) axis and aims to gain a warm equation of state (EoS) of deconfined QCD matter which can be supplemented with a cool and confined part suitable for subsequent compact (neutron) star (merger) investigations. The model exhibits a critical end point (CEP) at TCEP=O(100) MeV and μBCEP=500700 MeV with an emerging first-order phase transition (FOPT) curve which extends to large values of μB without approaching the μB axis. We consider the impact and peculiarities of the related phase structure on the EoS for the employed dilaton potential and dynamical coupling parameterizations. These seem to prevent the design of an overall trustable EoS without recourse to hybrid constructions. Full article
(This article belongs to the Section Physics)
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<p>Comparison of the EMd model results with lattice data [<a href="#B24-symmetry-16-00999" class="html-bibr">24</a>] (crosses) for <math display="inline"><semantics> <mrow> <msub> <mi>μ</mi> <mi>B</mi> </msub> <mo>/</mo> <mi>T</mi> <mo>=</mo> <mi>n</mi> <mo>/</mo> <mn>2</mn> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mi>n</mi> <mo>=</mo> <mn>1</mn> <mspace width="3.33333pt"/> <mrow> <mo>(</mo> <mi>top</mi> <mo>)</mo> </mrow> <mo>,</mo> <mo>…</mo> <mo>,</mo> <mn>6</mn> <mspace width="3.33333pt"/> <mrow> <mo>(</mo> <mi>bottom</mi> <mo>)</mo> </mrow> </mrow> </semantics></math>: <math display="inline"><semantics> <mrow> <mi>p</mi> <mo>/</mo> <msup> <mi>T</mi> <mn>4</mn> </msup> </mrow> </semantics></math> (left column), <math display="inline"><semantics> <mrow> <msub> <mi>n</mi> <mi>B</mi> </msub> <mo>/</mo> <msup> <mi>T</mi> <mn>3</mn> </msup> </mrow> </semantics></math> (middle column), and <math display="inline"><semantics> <mrow> <mi>e</mi> <mo>/</mo> <mi>p</mi> </mrow> </semantics></math> (right column) as a function of <span class="html-italic">T</span>. Note the different scales for <math display="inline"><semantics> <mrow> <msub> <mi>n</mi> <mi>B</mi> </msub> <mo>/</mo> <msup> <mi>T</mi> <mn>3</mn> </msup> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mi>e</mi> <mo>/</mo> <mi>p</mi> </mrow> </semantics></math>.</p>
Full article ">Figure 1 Cont.
<p>Comparison of the EMd model results with lattice data [<a href="#B24-symmetry-16-00999" class="html-bibr">24</a>] (crosses) for <math display="inline"><semantics> <mrow> <msub> <mi>μ</mi> <mi>B</mi> </msub> <mo>/</mo> <mi>T</mi> <mo>=</mo> <mi>n</mi> <mo>/</mo> <mn>2</mn> </mrow> </semantics></math>, <math display="inline"><semantics> <mrow> <mi>n</mi> <mo>=</mo> <mn>1</mn> <mspace width="3.33333pt"/> <mrow> <mo>(</mo> <mi>top</mi> <mo>)</mo> </mrow> <mo>,</mo> <mo>…</mo> <mo>,</mo> <mn>6</mn> <mspace width="3.33333pt"/> <mrow> <mo>(</mo> <mi>bottom</mi> <mo>)</mo> </mrow> </mrow> </semantics></math>: <math display="inline"><semantics> <mrow> <mi>p</mi> <mo>/</mo> <msup> <mi>T</mi> <mn>4</mn> </msup> </mrow> </semantics></math> (left column), <math display="inline"><semantics> <mrow> <msub> <mi>n</mi> <mi>B</mi> </msub> <mo>/</mo> <msup> <mi>T</mi> <mn>3</mn> </msup> </mrow> </semantics></math> (middle column), and <math display="inline"><semantics> <mrow> <mi>e</mi> <mo>/</mo> <mi>p</mi> </mrow> </semantics></math> (right column) as a function of <span class="html-italic">T</span>. Note the different scales for <math display="inline"><semantics> <mrow> <msub> <mi>n</mi> <mi>B</mi> </msub> <mo>/</mo> <msup> <mi>T</mi> <mn>3</mn> </msup> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mi>e</mi> <mo>/</mo> <mi>p</mi> </mrow> </semantics></math>.</p>
Full article ">Figure 2
<p>Contour plots of scaled entropy density <math display="inline"><semantics> <mrow> <mi>s</mi> <mo>/</mo> <msup> <mi>T</mi> <mn>3</mn> </msup> </mrow> </semantics></math> (<b>left top panel</b>), baryon density <math display="inline"><semantics> <mrow> <msub> <mi>n</mi> <mi>B</mi> </msub> <mo>/</mo> <msup> <mi>T</mi> <mn>3</mn> </msup> </mrow> </semantics></math> (<b>right top panel</b>), entropy per baryon <math display="inline"><semantics> <mrow> <mi>s</mi> <mo>/</mo> <msub> <mi>n</mi> <mi>B</mi> </msub> </mrow> </semantics></math> (<b>left bottom panel</b>, relevant for adiabatic expansion), and pressure <math display="inline"><semantics> <mrow> <mi>p</mi> <mo>/</mo> <msup> <mi>T</mi> <mn>4</mn> </msup> </mrow> </semantics></math> (<b>right bottom panel</b>) over the <span class="html-italic">T</span>-<math display="inline"><semantics> <msub> <mi>μ</mi> <mi>B</mi> </msub> </semantics></math> plane. The CEP is depicted as a bullet and the solid black curve is the emerging FOPT. The labeling numbers “<span class="html-italic">N</span>” mean <math display="inline"><semantics> <msup> <mn>10</mn> <mi>N</mi> </msup> </semantics></math> of the respective quantity. Note the weak dependence of <math display="inline"><semantics> <mrow> <mi>s</mi> <mo>/</mo> <msup> <mi>T</mi> <mn>3</mn> </msup> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mi>p</mi> <mo>/</mo> <msup> <mi>T</mi> <mn>4</mn> </msup> </mrow> </semantics></math> on <math display="inline"><semantics> <msub> <mi>μ</mi> <mi>B</mi> </msub> </semantics></math> to the left of the FOPT at <math display="inline"><semantics> <mrow> <mi>T</mi> <mspace width="3.33333pt"/> <mo>&lt;</mo> <mspace width="3.33333pt"/> <mn>100</mn> </mrow> </semantics></math> MeV. The crosses depict results of the lattice QCD calculations [<a href="#B24-symmetry-16-00999" class="html-bibr">24</a>]. The scaled energy density, <math display="inline"><semantics> <mrow> <mi>e</mi> <mo>/</mo> <msup> <mi>T</mi> <mn>4</mn> </msup> <mo>=</mo> <mo>−</mo> <mi>p</mi> <mo>/</mo> <msup> <mi>T</mi> <mn>4</mn> </msup> <mo>+</mo> <mi>s</mi> <mo>/</mo> <msup> <mi>T</mi> <mn>3</mn> </msup> <mo>+</mo> <mrow> <mo>(</mo> <msub> <mi>μ</mi> <mi>B</mi> </msub> <mo>/</mo> <mi>T</mi> <mo>)</mo> </mrow> <msub> <mi>n</mi> <mi>B</mi> </msub> <mo>/</mo> <msup> <mi>T</mi> <mn>3</mn> </msup> </mrow> </semantics></math>, can be inferred from the displayed information.</p>
Full article ">Figure 3
<p>Contour plot of the EoS as isobars <math display="inline"><semantics> <mrow> <mi>p</mi> <mo>(</mo> <mi>T</mi> <mo>,</mo> <msub> <mi>μ</mi> <mi>B</mi> </msub> <mo>)</mo> <mo>=</mo> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>s</mi> <mi>t</mi> </mrow> </semantics></math> (<b>left panel</b>) and iso-energy density curves <math display="inline"><semantics> <mrow> <mi>e</mi> <mo>(</mo> <mi>T</mi> <mo>,</mo> <msub> <mi>μ</mi> <mi>B</mi> </msub> <mo>)</mo> <mo>=</mo> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>s</mi> <mi>t</mi> </mrow> </semantics></math> (<b>right panel</b>) over the <span class="html-italic">T</span>-<math display="inline"><semantics> <msub> <mi>μ</mi> <mi>B</mi> </msub> </semantics></math> plane. The CEP, FOPT, line style, and meaning of labeling (here in units of MeV/fm<sup>3</sup>) are as in <a href="#symmetry-16-00999-f002" class="html-fig">Figure 2</a>. Note again the weak dependence on <math display="inline"><semantics> <msub> <mi>μ</mi> <mi>B</mi> </msub> </semantics></math> to the left of the FOPT at <math display="inline"><semantics> <mrow> <mi>T</mi> <mo>&lt;</mo> <mn>100</mn> </mrow> </semantics></math> MeV. The crosses depict results of the lattice QCD calculations [<a href="#B24-symmetry-16-00999" class="html-bibr">24</a>].</p>
Full article ">Figure 4
<p>(<b>Left panel</b>): Energy density <span class="html-italic">e</span> (solid curves) as a function of temperature <span class="html-italic">T</span> along the “safe” isobars <math display="inline"><semantics> <mrow> <mi>T</mi> <mrow> <mo>(</mo> <msub> <mi>μ</mi> <mi>B</mi> </msub> <mo>)</mo> </mrow> <msub> <mrow> <mo>|</mo> </mrow> <mrow> <mi>p</mi> <mo>=</mo> <msub> <mi>p</mi> <mn>0</mn> </msub> </mrow> </msub> </mrow> </semantics></math> (see <a href="#symmetry-16-00999-f003" class="html-fig">Figure 3</a>—left) for various values of <math display="inline"><semantics> <mrow> <msub> <mi>T</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>125</mn> </mrow> </semantics></math> (black), 150 (cyan), 175 (yellow), and 200 MeV (magenta), and, thus, <math display="inline"><semantics> <mrow> <msub> <mi>p</mi> <mn>0</mn> </msub> <mo>=</mo> <mi>p</mi> <mrow> <mo>(</mo> <msub> <mi>T</mi> <mn>0</mn> </msub> <mo>,</mo> <msub> <mi>μ</mi> <mi>B</mi> </msub> <mo>=</mo> <mn>0</mn> <mo>)</mo> </mrow> </mrow> </semantics></math>. In addition, the case of a “less reliable” isobar with <math display="inline"><semantics> <mrow> <msub> <mi>T</mi> <mn>0</mn> </msub> <mo>=</mo> <mn>100</mn> </mrow> </semantics></math> MeV is also displayed (red). The right-hand side endpoints (“o”) are for <math display="inline"><semantics> <mrow> <msub> <mi>μ</mi> <mi>B</mi> </msub> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math>, both for <span class="html-italic">e</span> and pressure <math display="inline"><semantics> <mrow> <mi>p</mi> <mo>=</mo> <msub> <mi>p</mi> <mn>0</mn> </msub> </mrow> </semantics></math> (horizontal thin lines with the same color code as the corresponding energy density). The difference of <span class="html-italic">e</span> and <span class="html-italic">p</span> (both in units of MeV/fm<sup>3</sup>) in the employed log scale delivers directly <math display="inline"><semantics> <mrow> <mi>e</mi> <mo>/</mo> <mi>p</mi> </mrow> </semantics></math> as a function of <span class="html-italic">T</span> along the respective isobar. Equally well, <span class="html-italic">e</span> and <span class="html-italic">p</span> for a selected constant value of <span class="html-italic">T</span> can be read off, thus providing the iso-thermal EoS <math display="inline"><semantics> <msub> <mrow> <mi>p</mi> <mrow> <mo>(</mo> <mi>e</mi> <mo>)</mo> </mrow> <mo>|</mo> </mrow> <mrow> <mi>T</mi> <mo>=</mo> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>s</mi> <mi>t</mi> </mrow> </msub> </semantics></math>, exhibited in the (<b>right panel</b>) for various temperatures as provided by labels. The right-hand side endpoints “+” are for <math display="inline"><semantics> <mrow> <msub> <mi>μ</mi> <mi>B</mi> </msub> <mo>=</mo> <mn>2000</mn> </mrow> </semantics></math> MeV. One could also combine the results of <a href="#symmetry-16-00999-f002" class="html-fig">Figure 2</a> along cuts of <math display="inline"><semantics> <mrow> <mi>T</mi> <mo>=</mo> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>s</mi> <mi>t</mi> </mrow> </semantics></math> to arrive at the same picture. The crosses depict results of the lattice QCD calculations [<a href="#B24-symmetry-16-00999" class="html-bibr">24</a>] in both panels. The bullet depicts the onset point of the perturbative QCD regime for <math display="inline"><semantics> <mrow> <mi>T</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math>. Nuclear many-body theory is expected to apply below the left bottom corner.</p>
Full article ">Figure A1
<p>Illustration of expected isobars <math display="inline"><semantics> <mrow> <mi>p</mi> <mo>(</mo> <mi>T</mi> <mo>,</mo> <msub> <mi>μ</mi> <mi>B</mi> </msub> <mo>)</mo> <mo>=</mo> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>s</mi> <mi>t</mi> </mrow> </semantics></math> over the <span class="html-italic">T</span>-<math display="inline"><semantics> <msub> <mi>μ</mi> <mi>B</mi> </msub> </semantics></math> plane in a toy model. The heavy solid bar on the <span class="html-italic">T</span> axis indicates the region, where reliable QCD input data (e.g., <math display="inline"><semantics> <mrow> <mi>p</mi> <mo>(</mo> <mi>T</mi> <mo>)</mo> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msub> <mi>χ</mi> <mn>2</mn> </msub> <mrow> <mo>(</mo> <mi>T</mi> <mo>)</mo> </mrow> </mrow> </semantics></math>) are at our disposal. The continuation to <math display="inline"><semantics> <mrow> <msub> <mi>μ</mi> <mi>B</mi> </msub> <mo>&gt;</mo> <mn>0</mn> </mrow> </semantics></math> is controlled by lattice data in the hatched region (with sections of rays <math display="inline"><semantics> <mrow> <msub> <mi>μ</mi> <mi>B</mi> </msub> <mo>/</mo> <mi>T</mi> <mo>=</mo> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>s</mi> <mi>t</mi> </mrow> </semantics></math> highlighted). Isobars not emerging from the heavy solid vertical bar or not running a noticeable section through the hatched control region are to be considered as less reliable (dashed or dotted curves). Irrespective of the EoS on the <span class="html-italic">T</span> axis, such a mapping by “laminar curves” <math display="inline"><semantics> <mrow> <mi>T</mi> <mrow> <mo>(</mo> <msub> <mi>μ</mi> <mi>B</mi> </msub> <mo>)</mo> </mrow> <msub> <mrow> <mo>|</mo> </mrow> <mrow> <mi>p</mi> <mo>=</mo> <mi>c</mi> <mi>o</mi> <mi>n</mi> <mi>s</mi> <mi>t</mi> </mrow> </msub> </mrow> </semantics></math> (solid curves) would allow us to arrive unambiguously at the cool EoS at <math display="inline"><semantics> <mrow> <mi>T</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math>, or any other cut through the <span class="html-italic">T</span>-<math display="inline"><semantics> <msub> <mi>μ</mi> <mi>B</mi> </msub> </semantics></math> plane, thus also providing a warm EoS for neutron star merger dynamics.</p>
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<p>The stable branches of scaled density <math display="inline"><semantics> <mrow> <msub> <mi>n</mi> <mi>B</mi> </msub> <mo>/</mo> <msup> <mi>T</mi> <mn>3</mn> </msup> </mrow> </semantics></math> (left panel) and scaled pressure <math display="inline"><semantics> <mrow> <mi>p</mi> <mo>/</mo> <msup> <mi>T</mi> <mn>4</mn> </msup> </mrow> </semantics></math> as a function of temperature <span class="html-italic">T</span> for various values of <math display="inline"><semantics> <mrow> <msub> <mi>μ</mi> <mi>B</mi> </msub> <mo>=</mo> <mi>n</mi> <mspace width="0.166667em"/> <mn>500</mn> </mrow> </semantics></math> MeV for <math display="inline"><semantics> <mrow> <mi>n</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> (blue), 1 (green), 2 (red), 3 (cyan), and 4 (magenta). The crosses depict the results of the lattice QCD calculations [<a href="#B24-symmetry-16-00999" class="html-bibr">24</a>].</p>
Full article ">Figure A3
<p>Contour plots of <math display="inline"><semantics> <msup> <mi>χ</mi> <mn>2</mn> </msup> </semantics></math> with respect to scaled entropy density (<b>left panel</b>), <math display="inline"><semantics> <msup> <mi>L</mi> <mrow> <mo>−</mo> <mn>1</mn> </mrow> </msup> </semantics></math> (<b>middle panel</b>), and <math display="inline"><semantics> <msub> <mi>κ</mi> <mn>5</mn> </msub> </semantics></math> (<b>right panel</b>, in units of <math display="inline"><semantics> <msup> <mi>L</mi> <mrow> <mn>3</mn> <mo>/</mo> <mn>2</mn> </mrow> </msup> </semantics></math>) for the dilaton potential function Equation (<a href="#FD4-symmetry-16-00999" class="html-disp-formula">4</a>) with local maximum of <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="script">W</mi> <mi>m</mi> </msub> <mo>=</mo> <mn>0.6</mn> </mrow> </semantics></math> at <math display="inline"><semantics> <mrow> <msub> <mi>ϕ</mi> <mi>m</mi> </msub> <mo>=</mo> <mn>3.25</mn> </mrow> </semantics></math> as side conditions. The dashed line depicts the locus of <math display="inline"><semantics> <mrow> <msub> <mi>p</mi> <mn>3</mn> </msub> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> determined by <math display="inline"><semantics> <mrow> <msub> <mi>p</mi> <mn>1</mn> </msub> <mo>=</mo> <msub> <mi mathvariant="script">W</mi> <mi>m</mi> </msub> <mo form="prefix">exp</mo> <mrow> <mo>{</mo> <mi>γ</mi> <msub> <mi>ϕ</mi> <mi>m</mi> </msub> <mo>}</mo> </mrow> <mrow> <mo>(</mo> <mn>2</mn> <mo>−</mo> <mi>γ</mi> <msub> <mi>ϕ</mi> <mi>m</mi> </msub> <mo>)</mo> </mrow> <mo>/</mo> <msub> <mi>ϕ</mi> <mi>m</mi> </msub> </mrow> </semantics></math>, i.e., for <math display="inline"><semantics> <mrow> <msub> <mi>p</mi> <mn>3</mn> </msub> <mo>&gt;</mo> <mn>0</mn> </mrow> </semantics></math>, an unintended thermal phase transition is excluded since, beyond the maximum, <math display="inline"><semantics> <mrow> <mi mathvariant="script">W</mi> <mo>(</mo> <mi>ϕ</mi> <mo>)</mo> </mrow> </semantics></math> is smoothly and monotonously approaching zero at <math display="inline"><semantics> <mrow> <mi>ϕ</mi> <mo>→</mo> <mo>∞</mo> </mrow> </semantics></math>. The bullet in the <math display="inline"><semantics> <mrow> <msub> <mi>p</mi> <mn>3</mn> </msub> <mo>&lt;</mo> <mn>0</mn> </mrow> </semantics></math> region is for the parameter choice of <math display="inline"><semantics> <msub> <mi>p</mi> <mrow> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mn>3</mn> </mrow> </msub> </semantics></math> and <math display="inline"><semantics> <mi>γ</mi> </semantics></math> listed below Equation (5), which facilitates <math display="inline"><semantics> <mrow> <msub> <mi mathvariant="script">W</mi> <mi>m</mi> </msub> <mo>≈</mo> <mn>0.6</mn> </mrow> </semantics></math> at <math display="inline"><semantics> <mrow> <msub> <mi>ϕ</mi> <mi>m</mi> </msub> <mo>≈</mo> <mn>3.25</mn> </mrow> </semantics></math>.</p>
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16 pages, 3772 KiB  
Article
An Increase in Stream Water DOC Concentrations May Not Necessarily Imply an Increase in DOC Fluxes in Areas Affected by Acid Deposition and Climate Change—An Example from Central European Catchments
by Jakub Hruška and Pavel Krám
Water 2024, 16(16), 2220; https://doi.org/10.3390/w16162220 - 6 Aug 2024
Viewed by 430
Abstract
Over a period of 30 years (1993–2022), headwater catchments in the Slavkov Forest (Czech Republic) exhibited a robust increase in stream water DOC (dissolved organic carbon) concentrations following a significant reduction in acidic atmospheric deposition. Sulfur deposition decreased from 34 kg ha−1 [...] Read more.
Over a period of 30 years (1993–2022), headwater catchments in the Slavkov Forest (Czech Republic) exhibited a robust increase in stream water DOC (dissolved organic carbon) concentrations following a significant reduction in acidic atmospheric deposition. Sulfur deposition decreased from 34 kg ha−1 yr−1 in 1993 to 2.6 kg ha−1 yr−1 in 2022. Three Norway-spruce-dominated research sites—Černý Potok (CEP), a 15.2 ha peatbog catchment, Lysina (LYS), a 27.3 ha granitic catchment, and Pluhův Bor (PLB), a 21.6 ha serpentinite catchment, were investigated. The three–year average DOC concentration increased from 48.2 mg L−1 (1993–1995) to 68.3 mg L−1 (2020–2022) at CEP (0.69 mg L−1 yr−1). LYS showed an increase from 16.9 mg L−1 to 25.4 mg L−1 (0.30 mg L−1 yr−1 annually). The largest increase was recorded at PLB, with an increase from 15.7 mg L−1 to 36.7 mg L−1 (0.89 mg L−1 yr−1). A decline in ionic strength was identified as the main driver of the DOC increase. The annual runoff declined significantly at CEP and LYS from 465 mm to 331 mm as a result of rising air temperatures and reduced precipitation between 2014 and 2022. PLB (average of 266 mm) did not show a statistically significant decline. Recently, PLB experienced significant deforestation that likely lowered transpiration and thus increased catchment runoff. As a result, DOC fluxes did not change significantly at CEP (average 210 kg ha−1 yr−1) and LYS (90 kg ha −1 yr−1). However, PLB’s DOC flux more than doubled, increasing from 44 to 106 kg ha−1 yr−1. Drivers connected with global change, such as increasing temperatures, or potential chemical drivers, such as reductions in Al concentrations and pH changes, were not able to explain the observed changes in DOC concentra tions and fluxes. Full article
(This article belongs to the Special Issue DOM Distribution and Nutrient Dynamics in Freshwater Systems)
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Figure 1

Figure 1
<p>Location of three experimental catchments in the Slavkov Forest. The maps are based on data from OpenStreetMap and OpenStreetMap Foundation and are publicly available without special privileges under a CC BY-SA 2.0 license from the OpenStreetMap contributors (<a href="https://www.openstreetmap.org/copyright/en" target="_blank">https://www.openstreetmap.org/copyright/en</a>, accessed on 15 October 2023), available at <a href="http://www.openstreetmap.org" target="_blank">www.openstreetmap.org</a> (accessed on 15 October 2023).</p>
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<p>Temperature (<b>a</b>), precipitation (<b>b</b>), runoff (<b>c</b>), and calculated evapotranspiration (<b>d</b>) from two catchments (LYS and PLB) between 1993 and 2022. Precipitation and runoff were measured directly in the catchments, and the temperature was measured at the Czech Hydrometeorological Institute station Mariánské Lázně (MLUV; 696 m a.s.l.). Doted lines represent mean annual averages.</p>
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<p>Annual total sulfur (<b>a</b>) and dissolved inorganic nitrogen (DIN) (<b>b</b>) deposition at Lysina (LYS) and Pluhův Bor (PLB) from 1993 to 2022. Statistically significant breakpoints are represented by vertical lines of appropriate colors (±standard error).</p>
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<p>Patterns in annual stream water chemistry for SO<sub>4</sub><sup>2−</sup> (<b>a</b>), pH (<b>b</b>), sum of base cations SBC = (Ca<sup>2+</sup> + Mg<sup>2+</sup> + K<sup>+</sup> + Na<sup>+</sup>) (<b>c</b>), ionic strength (IS) (<b>d</b>), HCO<sub>3</sub> (<b>e</b>), and dissolved Al (<b>f</b>) for the 1993–2022 period. The dashed line indicates the smoothed mean and the grey area defines the 95% confidence interval. R = Spearman correlation coefficient, p = probability level. Statistically significant breakpoints are represented by vertical lines of appropriate colors (±standard error). Breakpoints were not calculated for CEP (incomplete data series).</p>
Full article ">Figure 5
<p>Annual means of DOC concentrations (<b>a</b>) and fluxes (<b>b</b>) for the 1993–2022 period. The dashed line indicates smoothed mean and the grey area defines the 95% confidence interval. R = Spearman correlation coefficient; p = probability level. Statistically significant breakpoints are represented by vertical lines of appropriate colors (±standard error). Breakpoints were not calculated for CEP (incomplete data series).</p>
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<p>Relationship between annual means of DOC and ionic strength (IS) (<b>a</b>) and annual means of DOC and SO<sub>4</sub><sup>2−</sup> (<b>b</b>) for individual catchments (1993–2022). The dashed line indicates the smoothed mean and the grey area defines the 95% confidence interval. R = Spearman correlation coefficient; p = probability level.</p>
Full article ">Figure 7
<p>The relationship between DOC concentrations and discharge (log). For LYS and PLB, the data are for the hydrological years 2020–2021; for CEP, the years 2010–2021 are included. The dashed line indicates the smoothed mean and the grey area defines the 95% confidence interval. R = Spearman correlation coefficient; p = probability level.</p>
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13 pages, 21375 KiB  
Article
A New Genus of Prodidominae Cave Spider from a Paleoburrow and Ferruginous Caves in Brazil (Araneae: Prodidomidae)
by Igor Cizauskas, Robson de A. Zampaulo and Antonio D. Brescovit
Taxonomy 2024, 4(3), 574-586; https://doi.org/10.3390/taxonomy4030028 - 5 Aug 2024
Viewed by 560
Abstract
A new monotypic genus of Prodidominae, Paleotoca gen. n., is proposed to include one cave species collected in a paleoburrow and ferruginous caves from Quadrilátero Ferrífero, Minas Gerais, Brazil: Paleotoca diminassp. n. (♂♀). The new genus is closely related to [...] Read more.
A new monotypic genus of Prodidominae, Paleotoca gen. n., is proposed to include one cave species collected in a paleoburrow and ferruginous caves from Quadrilátero Ferrífero, Minas Gerais, Brazil: Paleotoca diminassp. n. (♂♀). The new genus is closely related to other Neotropical Prodidominae by sharing the classic claw tuft clasper. Paleotoca gen. n. is diagnosed by the absence of a dorsal abdominal scutum, a ventral parallel rows of strong spines on the tibia and metatarsus I–II, a lack of a conductor, a discrete median apophysis on the bulb and a bifid retrolateral tibial apophysis in the male palp, a posterior extension that is beak-shaped, and folds of a copulatory duct ventrally visible in the female epigyne. Like other Prodidominae species from caves, P. diminassp. n. is a troglobitic spider with morphological characteristics that indicate specialization to live in subterranean environments, including reduction in cuticular pigments, eye loss, heavy spination and trichobothria. Full article
(This article belongs to the Special Issue Taxonomy, Systematics and Biogeography of Spiders)
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Figure 1

Figure 1
<p><span class="html-italic">Paleotoca diminas</span> <b>sp. n</b>., (<b>A</b>–<b>F</b>) male (IBSP 264705). (<b>A</b>) Habitus, dorsal view; (<b>B</b>) legs I–II, ventral view; (<b>C</b>) sternum, ventral view; left palp (<b>D</b>) prolateral view; (<b>E</b>) ventral view; (<b>F</b>) retrolateral view. Abbreviations: E—embolus; MA—median apophysis; RTA—retrolateral tibial apophysis.</p>
Full article ">Figure 2
<p><span class="html-italic">Paleotoca diminas</span> <b>sp</b>. <b>n</b>., (<b>A</b>–<b>F</b>) male (IBSP 264704). (<b>A</b>) Carapace, dorsal view; (<b>B</b>) chellicerae, retromargin; (<b>C</b>) endites, promargin (arrows indicate teeth); (<b>D</b>) anterior lateral spinneret, detail; (<b>E</b>) posterior median spinneret, detail; (<b>F</b>) posterior lateral spinneret, detail. Abbreviations: Cy—cylindrical gland spigot; MaAm—major ampullate gland spigot; MiAm—minos ampullate gland spigot; Pi—piriform gland spigot.</p>
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<p><span class="html-italic">Paleotoca diminas</span> <b>sp</b>. <b>n</b>., (<b>A</b>–<b>F</b>) male (IBSP 264704). (<b>A</b>) Leg III, detail of claw, retrolateral view; (<b>B</b>) tricobothria, tibia leg III; left palp (<b>C</b>) ventral view; (<b>D</b>) retrolateral view; (<b>E</b>) palpal tibia, retrolateral view (arrows indicate tricobothria); (<b>F</b>) tricobothria, dorsal view. Abbreviations: E—embolus; MA—median apophysis; RTA—retrolateral tibial apophysis.</p>
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<p><span class="html-italic">Paleotoca diminas</span> <b>sp</b>. <b>n</b>., (<b>A</b>,<b>B</b>) male (IBSP 264705), left palp (<b>A</b>) ventral view; (<b>B</b>) retrolateral view. Abbreviations: E—embolus; MA—median apophysis; RTA—retrolateral tibial apophysis.</p>
Full article ">Figure 5
<p><span class="html-italic">Paleotoca diminas</span> <b>sp. n</b>., (<b>A</b>,<b>B</b>) female (IBSP 264705), genitalia (<b>A</b>) epigynum, ventral view; (<b>B</b>) vulva, dorsal view. Abbreviations: A—atrium; FD—fertilization duct; PS—primary spermathecae; CD—copulatory duct; PEx—posterior extension of epigynum.</p>
Full article ">Figure 6
<p><span class="html-italic">Paleotoca diminas</span> <b>sp</b>. <b>n</b>., (<b>A</b>–<b>D</b>) female (IBSP 264705), (<b>A</b>) habitus, dorsal view; (<b>B</b>) spinnerets, lateral view; (<b>C</b>) genitalia, ventral view; (<b>D</b>) vulva, dorsal view. Abbreviations: ALS—anterior lateral spinnerets; FD—fertilization duct; CD—copulatory duct; PEx—posterior extension of epigynum; PIn—postepigastric invaginations; PLS—posterior lateral spinnerets; PMS—posterior median spinnerets; PS—primary spermathecae.</p>
Full article ">Figure 7
<p><span class="html-italic">Paleotoca diminas</span> <b>sp. n</b>., (<b>A</b>–<b>F</b>) female (IBSP 264705), (<b>A</b>) carapace, dorsal view; chelicerae, (<b>B</b>) ventral view; (<b>C</b>) detail, retromargim; (<b>D</b>) detail, promargin; (<b>E</b>) endites, promargin (arrow indicates teeth); (<b>F</b>) epigine, ventral view. Abbreviations: A—atrium; PEs—promarginal escort seta, PEx—promarginal rake seta, PRk—promarginal rake seta, PWh—promarginal whisker seta.</p>
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<p><span class="html-italic">Paleotoca diminas</span> <b>sp. n</b>., (<b>A</b>–<b>F</b>) female (IBSP 264705) pedipalp, detail of claw, (<b>A</b>) prolateral view; (<b>B</b>) retrolateral view; (<b>C</b>) tricobothria, dorsal view; (<b>D</b>) tarsal organ, dorsal view; (<b>E</b>) leg III, claw, prolateral view; (<b>F</b>) leg I, claw, prolateral view.</p>
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<p><span class="html-italic">Paleotoca diminas</span> <b>sp</b>. <b>n</b>. (male) observed in a paleoburrow (Cave AP-0038).</p>
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<p>(<b>A</b>) Atlantic Forest view; (<b>B</b>) rupestrian field view; (<b>C</b>) cave entrance, epigean view; (<b>D</b>) wall with claw marks from ground sloth; (<b>E</b>) entrance area, cave view; (<b>F</b>) cave conduit approximately 90 cm long.</p>
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<p>Map showing collection records of <span class="html-italic">Paleotoca diminas</span> <b>sp</b>. <b>n</b>. (Prodidomidae) in caves of Quadrilátero Ferrífero, Minas Gerais, Brazil.</p>
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14 pages, 1728 KiB  
Article
Application of Salvinia biloba Raddi. in the Phytoextraction of the Emerging Pollutant Octocrylene in an Aquatic Environment
by Matheus A. S. Moura, Gabrielle C. S. G. Nascimento, Osvaldo Valarini, Ana P. Peron and Débora C. Souza
Processes 2024, 12(8), 1631; https://doi.org/10.3390/pr12081631 - 2 Aug 2024
Viewed by 360
Abstract
The phytotreatment technique, which has never been used to treat emerging compounds, is used in this work to measure the phytoextraction of octocrylene (OC) in three concentrations (200, 400, and 600 μg/L of OC) by Salvinia biloba Raddi. The species proved to be [...] Read more.
The phytotreatment technique, which has never been used to treat emerging compounds, is used in this work to measure the phytoextraction of octocrylene (OC) in three concentrations (200, 400, and 600 μg/L of OC) by Salvinia biloba Raddi. The species proved to be a phytoextractor by accumulating OC in floating leaves at concentrations of 1,500,000 μg/kg in treatment 200 and 1,050,000 in 600 μg/L of OC. Chlorophyll synthesis was affected at all OC concentrations, especially 400 μg/L, with a chlorophyll a/b ratio of less than 1. Enzymatic activity responded to the contaminant: CAT and APX are inhibited in the submerged portions after 48 h, staying below 2.0E−6 μmol/min/μg of protein. GPOX was totally inhibited during the experiment, and SOD remains active at 200 and 600 μg/L. The cytogenotoxic effects of OC to confirm phytoextraction were evaluated by globally regulated tests with Allium cepa bulbs and germinal bulbs in Lactuca sativa and Avena fatua every 48 h. These tests showed that after 72 h of phytoextraction, the medium was no longer cytogenotoxic and the seeds germinated above 30%, confirming the phytoextractor capacity of S. biloba. Thus, we can affirm that S. biloba can be used in the phytotreatment of aquatic environments contaminated with OC. Full article
(This article belongs to the Special Issue Advances in the Analysis of Emerging Organic Contaminants)
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<p>Concentration of Octocrylene (μg/L) in submerged and floating portions of <span class="html-italic">S. biloba</span>.</p>
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<p>Chlorophyll <span class="html-italic">a</span> and <span class="html-italic">b</span> concentrations of <span class="html-italic">S. biloba</span> at concentrations of 200, 400, and 600 μg/L Octocrylene for 120 h (5 days). * or ** Indicate statistically significant differences in concentrations and control, according to Kruskal–Wallis, followed by Dunn’s test (<span class="html-italic">p</span> ≤ 0.05). Coa: chlorophyll <span class="html-italic">a</span> concentration of the control; Cob: chlorophyll <span class="html-italic">b</span> concentration of the control; (<b>a</b>): chlorophyll <span class="html-italic">a</span>; (<b>b</b>): chlorophyll <span class="html-italic">b</span>; CO: control.</p>
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<p>Activity of enzyme catalase (CAT), (<b>a</b>) submerged and (<b>b</b>) floating portions of the <span class="html-italic">S. biloba</span> at concentrations of 200, 400, and 600 μg/L Octocrylene, for 120 h (5 days). * Indicate statistically significant differences in concentrations and control, according to Kruskal–Wallis followed by Dunn’s test (<span class="html-italic">p</span> ≤ 0.05). CO: control (highlighted in red).</p>
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<p>Activity of enzyme ascorbate peroxidase (APX) (<b>a</b>) submerged and (<b>b</b>) floating portions of the <span class="html-italic">S. biloba</span> at concentrations of 200, 400, and 600 μg/L Octocrylene for 120 h (5 days). * Indicate statistically significant differences in concentrations and control, according to Kruskal-Wallis followed by Dunn’s test (<span class="html-italic">p</span> ≤ 0.05). CO: control (highlighted in red).</p>
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<p>Activity of enzyme guaiacol peroxidase (GOPX) (<b>a</b>) submerged and (<b>b</b>) floating portions of the <span class="html-italic">S. biloba</span> at concentrations of 200, 400, and 600 μg/L Octocrylene for 120 h (5 days). * Indicate statistically significant differences in concentrations and control, according to Kruskal-Wallis followed by Dunn’s test (<span class="html-italic">p</span> ≤ 0.05). CO: control (highlighted in red).</p>
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<p>Activity of enzyme superoxido dimutase (SOD) (<b>a</b>) submerged and (<b>b</b>) floating portions of the <span class="html-italic">S. biloba</span> at concentrations of 200, 400, and 600 μg/L Octocrylene for 120 h (5 days). * Indicate statistically significant differences in concentrations and control, according to Kruskal–Wallis followed by Dunn’s test (<span class="html-italic">p</span> ≤ 0.05). CO: control (highlighted in red).</p>
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12 pages, 1315 KiB  
Article
Evaluation of Anti-Thyroperoxidase (A-TPO) and Anti-Thyroglobulin (A-Tg) Antibodies in Women with Previous Hashimoto’s Thyroiditis during and after Pregnancy
by Maria Angela Zaccarelli-Marino, Nuha Ahmad Dsouki, Rodrigo Pigozzi de Carvalho and Rui M. B. Maciel
J. Clin. Med. 2024, 13(15), 4519; https://doi.org/10.3390/jcm13154519 - 2 Aug 2024
Viewed by 441
Abstract
Background/Objective: Autoimmune thyroid diseases (AITD) affect 2 to 5% of the general population. This study aimed to determine changes in activity of A-Tg and A-TPO antibodies before, during, and after pregnancy in women with previous AITD. Methods: This was a single-center study with [...] Read more.
Background/Objective: Autoimmune thyroid diseases (AITD) affect 2 to 5% of the general population. This study aimed to determine changes in activity of A-Tg and A-TPO antibodies before, during, and after pregnancy in women with previous AITD. Methods: This was a single-center study with a retrospective review of the medical records of 30 female patients aged 25–41 years who came to our endocrinology service in the city of Santo André, state of São Paulo, Brazil, to investigate thyroid diseases. The following data were reviewed: total triiodothyronine (totalT3), total thyroxine (totalT4), free thyroxine (FT4), thyroid-stimulating hormone (TSH), and anti-TSH receptor antibodies (anti-TSH receptor or anti-thyrotropin receptor antibodies (TRAb), anti-thyroid peroxidase (A-TPO), and anti-thyroglobulin (A-Tg)). These data were reviewed for 30 patients before and during the three trimesters of pregnancy and during the three months after pregnancy. Results: During gestation, we observed a progressive decrease in the blood values of A-TPO and A-Tg, which reached their lowest values in the third trimester of pregnancy, but after birth, they returned to values statistically equivalent to those before pregnancy. Analyzing the three trimesters and the post-pregnancy period, A-TPO increased 192% between the first trimester and postpartum (p = 0.009); it increased 627% between the second trimester and postpartum (p < 0.001); and it increased >1000% between the third trimester and postpartum (p < 0.001). There was no significant difference in the A-TPO values between the pre- and post-gestational periods (p = 1.00), between the first and second trimesters (p = 0.080), or between the second and third trimesters (p = 0.247). Conclusions: According to the results presented here, we observed changes in the activities of A-Tg and A-TPO antibodies during and after pregnancy in women with previous AITD. In women who intend to become pregnant, are pregnant, or have given birth within three months, it is essential to monitor A-TPO, A-Tg, and thyroid function as well as serum thyroid hormones and TSH to identify thyroid dysfunction in a timely manner and adjust the treatment strategy to avoid the deleterious effects of hypothyroidism on both mother and baby during and after pregnancy. Full article
(This article belongs to the Section Immunology)
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<p>Experimental design.</p>
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<p>Graph showing the average behavior of the antibodies A-TPO and A-Tg over the analized periods. Reference values: A-TPO—anti thyroperoxidase antibody—negative when lower than 35 IU/mL; A-Tg—antithyroglobulin antibody—negative when lower than 40 IU/mL.</p>
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<p>Box plot of the variations in A-TPO and A-Tg values between pregestational, first trimester, second trimester, third trimester, and postgestational. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.001 (Friedman ANOVA adjusted by Bonferroni correction for multiple comparisons). Reference values: A-TPO—anti thyroperoxidase antibody—negative when lower than 35 IU/mL; A-Tg—antithyroglobulin antibody—negative when lower than 40 IU/mL.</p>
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27 pages, 4381 KiB  
Article
Spatial-Temporal Dynamics of Water Resources in Seasonally Dry Tropical Forest: Causes and Vegetation Response
by Maria Beatriz Ferreira, Rinaldo Luiz Caraciolo Ferreira, Jose Antonio Aleixo da Silva, Robson Borges de Lima, Emanuel Araújo Silva, Alex Nascimento de Sousa, Doris Bianca Crispin De La Cruz and Marcos Vinícius da Silva
AgriEngineering 2024, 6(3), 2526-2552; https://doi.org/10.3390/agriengineering6030148 - 1 Aug 2024
Viewed by 300
Abstract
Seasonally Dry Tropical Forests (SDTFs) are situated in regions prone to significant water deficits. This study aimed to evaluate and quantify the dynamics and spatial patterns of vegetation and water bodies through the analysis of physical–hydrological indices for a remnant of FTSD between [...] Read more.
Seasonally Dry Tropical Forests (SDTFs) are situated in regions prone to significant water deficits. This study aimed to evaluate and quantify the dynamics and spatial patterns of vegetation and water bodies through the analysis of physical–hydrological indices for a remnant of FTSD between 2013 and 2021. Basal area, biomass, and tree number were monitored in 80 permanent plots located in two areas of an SDTF remnant with different usage histories. To assess vegetation and water resource conditions, geospatial parameters NDVI, NDWIveg, NDWI, and MNDWI were estimated for the period from 2013 to 2021. The observed patterns were evaluated by simple linear regression, principal component analysis (PCA), and principal component regression (PCR). Area 2 presented higher values of basal area, biomass, and number of trees. In area 1, there was an annual increase in basal area and biomass, even during drought years. The NDVI and NDWIveg indicated the vulnerability of vegetation to the effects of droughts, with higher values recorded in 2020. NDWI and MNDWI detected the water availability pattern in the study area. Physical–hydrological indices in the dynamics of tree vegetation in dry forests are influenced by various factors, including disturbances, soil characteristics, and precipitation patterns. However, their predictive capacity for basal area, biomass, and tree number is limited, highlighting the importance of future research incorporating seasonal variability and specific local conditions into their analyses. Full article
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<p>Geographic location and spatial distribution of sampling units at Fazenda Itapemirim, municipality of Floresta, PE.</p>
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<p>Boxplot analysis for basal area—Area 1 (<b>A</b>) and Area 2 (<b>D</b>), biomass—Area 1 (<b>B</b>) and Area 2 (<b>E</b>), and tree density per sampling unit—Area 1 (<b>C</b>) and Area 2 (<b>F</b>) in the period from 2013 to 2021.</p>
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<p>Spatio-temporal distribution of NDVI in the scientific area, between 2013 and 2021.</p>
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<p>Spatio-temporal distribution of NDWIveg in the scientific area between 2013 and 2021.</p>
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<p>Spatio-temporal distribution of NDWI in the studied area between 2013 and 2021.</p>
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<p>Spatio-temporal distribution of MNDWI in the studied are between 2013 and 2021.</p>
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<p>Trend analysis from 2013 to 2021 for basal area in Area 1 (<b>a</b>) and Area 2 (<b>b</b>); number of trees in Area 1 (<b>c</b>) and Area 2 (<b>d</b>); and biomass in Area 1 (<b>e</b>) and Area 2 (<b>f</b>).</p>
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<p>Trend analysis from 2013 to 2021 MNDWI area in Area 1 (<b>a</b>) and Area 2 (<b>b</b>); NDWI in Area 1 (<b>c</b>) and Area 2 (<b>d</b>); NDWIveg in Area 1 (<b>e</b>) and Area 2 (<b>f</b>); and NDVI in Area 1 (<b>g</b>) and Area 2 (<b>h</b>).</p>
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<p>Linear relationship and regression models of field variables with the values of NDVI, NDWIveg, NDWI, and MNDWI for Area 1 in the period from 2013 to 2021.</p>
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<p>Linear relationship and regression models of field variables with the values of NDVI, NDWIveg, NDWI, and MNDWI for Area 2 in the period from 2013 to 2021.</p>
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<p>Principal component analysis (PCA) of the physical–water parameters on the surface recorded for Area 1 (<b>a</b>,<b>b</b>) and Area 2 (<b>c</b>,<b>d</b>) in the period from 2013 to 2021.</p>
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19 pages, 363 KiB  
Article
The Impact of Math-Gender Stereotypes on Students’ Academic Performance: Evidence from China
by Yilei Luo and Xinqi Chen
J. Intell. 2024, 12(8), 75; https://doi.org/10.3390/jintelligence12080075 - 1 Aug 2024
Viewed by 362
Abstract
This study investigates the impact of math-gender stereotypes on students’ academic performance using data from the China Education Panel Survey (CEPS), which surveyed nationally representative middle schools in China. Our sample comprises over 2000 seventh-grade students, with an average age of 13 and [...] Read more.
This study investigates the impact of math-gender stereotypes on students’ academic performance using data from the China Education Panel Survey (CEPS), which surveyed nationally representative middle schools in China. Our sample comprises over 2000 seventh-grade students, with an average age of 13 and a standard deviation of 0.711. Among these students, 52.4% are male, and 47.6% are female. Employing a fixed effects model and instrumental variable, our findings are as follows. First, over half of the male students believe that boys are better at math than girls, and they also perceive that their parents and society hold the same belief. In contrast, fewer than half of the female students hold this belief or perception. Intriguingly, among these students, female math performance surpasses that of males. Second, stereotypes hinder female math performance, especially among low-achieving ones, while benefiting high-achieving male students. Finally, perceptions of societal stereotypes have the greatest effect on math performance, followed by self-stereotypes and perceptions of parental stereotypes. Understanding the implications of these findings highlights the importance of addressing math-gender stereotypes to promote equal participation and success for both genders in STEM fields. Full article
23 pages, 1299 KiB  
Article
Self-Perceived Quality of Life (WHOQOL-Bref), and Self-Reported Health, Social and Environmental Factors Related to Its Improvement among Residents of Anil, Rio de Janeiro—Cross-Sectional Study
by Rosemerie Barros, Alfredo Akira Ohnuma and Maria Conceição Manso
Healthcare 2024, 12(15), 1520; https://doi.org/10.3390/healthcare12151520 - 31 Jul 2024
Viewed by 741
Abstract
This study aims to assess the self-perception of the QoL (WHOQOL-bref) in the Canal of Anil zone and its neighbor zone of the center of the District of Anil in Rio de Janeiro and to identify which factors are associated with the population [...] Read more.
This study aims to assess the self-perception of the QoL (WHOQOL-bref) in the Canal of Anil zone and its neighbor zone of the center of the District of Anil in Rio de Janeiro and to identify which factors are associated with the population self-perception of the need to “improve” their quality of life (QoL). A cross-sectional observational analytical study was carried out after approval by the competent ethics committee (CEP/CONEP) approval. A non-probabilistic sampling of residents of the Canal of Anil (n = 494) and the central district of Anil (n = 250) was used. A questionnaire was administered in person to collect data on self-reported sociodemographic characteristics, general health, sanitation, lifestyle in the residential area, and the WHOQOL-Bref. Although with a worse self-perceived water/sanitation participants in the Anil Canal community report fewer allergies, less medication, fewer skin diseases, less Zika virus, and less Chikungunya, among others. The self-perception of the need to improve the QoL in the Anil Canal community and the zone at the central District of Anil has proved to be influenced by several social and economic factors as well as residential practices and conditions. The multivariate analysis allowed us to identify both modifiable and non-modifiable risk factors for the need to improve physical QoL: taking medication, respiratory problems, skin disease diagnosed by a doctor, having a water tank at home or having filtered water at home, unpleasant odor of the water of the Anil Canal and the level of education, and age. Regarding the need to improve the environmental QoL, both areas are largely modifiable (e.g., having had ascariasis/roundworm; having a water tank in the house; not drinking bottled water; not having pavements in the street). Sociodemographic and environmental factors, in addition to health conditions, play a pivotal role in influencing individuals’ perceptions of the necessity for enhanced physical and environmental well-being. Full article
(This article belongs to the Section Environmental Factors and Global Health)
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<p>Image of the two units of analysis that were of interest to the Anil community. Yellow area (left side) represents the Anil canal area, red area (to the right side) represents the center of the District of Anil, and the blue lines represent both the Canal do Anil microbasin and the area’s hydrography in the region close to the Canal of Anil, Rio de Janeiro. Source: GOOGLE EARTH 2023 (Image generated in ArcGIS 10.3).</p>
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26 pages, 2964 KiB  
Article
Fintech Adoption and Banks’ Non-Financial Performance: Do Circular Economy Practices Matter?
by Ywana Maher Lamey, Omar Ikbal Tawfik, Omar Durrah and Hamada Elsaid Elmaasrawy
J. Risk Financial Manag. 2024, 17(8), 319; https://doi.org/10.3390/jrfm17080319 - 25 Jul 2024
Viewed by 542
Abstract
This study draws insights from practice-based view theory (PBV) to investigate the impact of fintech adoption (FA) on the non-financial performance (NFP) of banking institutions in developing countries, considering the mediating role of circular economy practices (CEPs). A structured questionnaire was distributed to [...] Read more.
This study draws insights from practice-based view theory (PBV) to investigate the impact of fintech adoption (FA) on the non-financial performance (NFP) of banking institutions in developing countries, considering the mediating role of circular economy practices (CEPs). A structured questionnaire was distributed to collect primary data from banks’ staff in Iraq, Egypt, Oman, and Jordan using a convenience sampling method with a sample size of 397. Subsequently, the structural equation model was utilized to test the research hypotheses of the proposed conceptual model. The study’s findings revealed that FA positively and significantly impacts CEPs and banks’ NFP (customer satisfaction, internal processes, and learning and growth perspectives). Moreover, CEPs mediate the relationship between FA and banks’ NFP in a positive and significant way. Given the dearth of the literature, this is the first study to fill the research gaps by investigating the impact of FA on the NFP of banking institutions in developing countries, considering CEPs as a mediator, and yielding critical theoretical and practical implications. The study’s findings provide banks’ managers with valuable insights about how to enhance their NFP through FA and CEPs during and after crises and support policymakers and regulators in developing a legislative framework that guides banks to invest in CE models and provides reward systems to encourage them. Full article
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<p>The proposed conceptual model (By the author).</p>
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<p>Flowchart of research methodology (by the author).</p>
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<p>Results of structural model.</p>
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24 pages, 388 KiB  
Article
Optimizing Database Performance in Complex Event Processing through Indexing Strategies
by Maryam Abbasi, Marco V. Bernardo, Paulo Váz, José Silva and Pedro Martins
Data 2024, 9(8), 93; https://doi.org/10.3390/data9080093 - 24 Jul 2024
Viewed by 514
Abstract
Complex event processing (CEP) systems have gained significant importance in various domains, such as finance, logistics, and security, where the real-time analysis of event streams is crucial. However, as the volume and complexity of event data continue to grow, optimizing the performance of [...] Read more.
Complex event processing (CEP) systems have gained significant importance in various domains, such as finance, logistics, and security, where the real-time analysis of event streams is crucial. However, as the volume and complexity of event data continue to grow, optimizing the performance of CEP systems becomes a critical challenge. This paper investigates the impact of indexing strategies on the performance of databases handling complex event processing. We propose a novel indexing technique, called Hierarchical Temporal Indexing (HTI), specifically designed for the efficient processing of complex event queries. HTI leverages the temporal nature of event data and employs a multi-level indexing approach to optimize query execution. By combining temporal indexing with spatial- and attribute-based indexing, HTI aims to accelerate the retrieval and processing of relevant events, thereby improving overall query performance. In this study, we evaluate the effectiveness of HTI by implementing complex event queries on various CEP systems with different indexing strategies. We conduct a comprehensive performance analysis, measuring the query execution times and resource utilization (CPU, memory, etc.), and analyzing the execution plans and query optimization techniques employed by each system. Our experimental results demonstrate that the proposed HTI indexing strategy outperforms traditional indexing approaches, particularly for complex event queries involving temporal constraints and multi-dimensional event attributes. We provide insights into the strengths and weaknesses of each indexing strategy, identifying the factors that influence performance, such as data volume, query complexity, and event characteristics. Furthermore, we discuss the implications of our findings for the design and optimization of CEP systems, offering recommendations for indexing strategy selection based on the specific requirements and workload characteristics. Finally, we outline the potential limitations of our study and suggest future research directions in this domain. Full article
20 pages, 5089 KiB  
Article
Environmental Variables Outpace Biotic Interactions in Shaping a Phytoplankton Community
by Marcella C. B. Mesquita, Caio Graco-Roza, Leonardo de Magalhães, Kemal Ali Ger and Marcelo Manzi Marinho
Diversity 2024, 16(8), 438; https://doi.org/10.3390/d16080438 - 24 Jul 2024
Viewed by 345
Abstract
We evaluated the main environmental factors (abiotic and biotic) driving the phytoplankton community in a shallow tropical reservoir located in an environmentally protected area. Phytoplankton samples were collected from the surface and bottom of the reservoir. The phytoplankton samples were later identified at [...] Read more.
We evaluated the main environmental factors (abiotic and biotic) driving the phytoplankton community in a shallow tropical reservoir located in an environmentally protected area. Phytoplankton samples were collected from the surface and bottom of the reservoir. The phytoplankton samples were later identified at the species level, and the species were further assigned to morphology-based functional groups (MBFGs). Zooplankton were sampled through vertical haul, communities were identified to species level, and functional diversity was estimated based on community-weighted means (CWM). Phytoplankton MBFGs IV, V, and VI contributed the most to the biomass under high light availability coupled with low nutrient availability. Potentially toxic cyanobacteria from MBFG III were observed during thermal stratification. Hydraulic mixing plays a crucial role in reducing the phytoplankton biomass during the warmer/rainy season. Cyclopoid copepods accounted for more than 83% of the zooplankton biomass. There was a weak but significant effect of zooplankton functional diversity on phytoplankton functional diversity, mainly because of the dominance of small zooplankton. Altogether, our findings suggest that environmental filtering plays a greater role than zooplankton grazing in phytoplankton community structure in this shallow tropical reservoir. Full article
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<p>Map showing on a decreasing scale (country, state, and city) the location of the Camorim Reservoir.</p>
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<p>Accumulated precipitation and average air temperature values recorded at the Barra da Tijuca weather station between 2016 and 2019. Black vertical bars are the monthly samples. Non-existent data for the months of November 2018, December 2018, and January 2019. The gray area indicates the year in which the samples were collected.</p>
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<p>Vertical profile of temperature, dissolved oxygen, pH, and water conductivity in the water column at the sampling point in the Camorim reservoir between 2017 and 2018.</p>
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<p>Temporal (months) and vertical (surface and bottom) variations in morphology-based functional groups (MBFGs) observed in the Camorim Reservoir between 2017 and 2018. (<b>A</b>) Biomass of MBFGs (µg C L<sup>−1</sup>) on the surface; (<b>B</b>) Relative contribution of biomass of MBFGs (% µg C L<sup>−1</sup>) on the surface; (<b>C</b>) Biomass of MBFGs (µg C L<sup>−1</sup>) at the bottom; (<b>D</b>) Relative contribution of biomass of MBFGs (% µg C L<sup>−1</sup>) at the bottom.</p>
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<p>Results of the (<b>A</b>,<b>B</b>) RLQ ordination and (<b>C</b>,<b>D</b>) hypothesis testing based on a fourth-corner analysis. (<b>A</b>) The relationships between species traits and environmental variables. (<b>B</b>) The distribution of species in the functional space. Each point in the ordination plot represents the position of a species modeled according to its traits on RLQ axes 1 and 2. The black lines connect the species to the centroid of its morphology-based functional groups—MBFGs. Colors represent MBFGs. (<b>C</b>) the relationship between environmental variables and the trait syndromes (RLQ axis trait), and (<b>D</b>) the correlation between species traits and the environmental gradients (RLQ axis environment). The gray boxes in (<b>C</b>,<b>D</b>) indicate significant relationships, and the values within the boxes indicate the Pearson’s R values. The values of d give the grid size. Environmental variables: SRP = soluble reactive phosphorus; DIN = dissolved inorganic nitrogen; Si = soluble reactive silica; EZ = euphotic zone; T = water temperature (°C); COND = conductivity; DO = dissolved oxygen; Zoo = zooplankton biomass. Functional traits: Aer = aerotopes; Cen = coenobium; Col = colony; Fla = flagella; Fil = filament; Het = heterocytes; MLD = maximum linear dimension; Muc = mucilage; S = surface (area); Si = siliceous exoskeletal structures; SV = surface–volume ratio; Tox = toxins; Uni = unicellular; V = volume; Zoo = zooplankton biomass.</p>
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<p>Composition of zooplankton community observed in the Camorim Reservoir between 2017 and 2018. (<b>A</b>) Density of mesozooplankton community (ind. L<sup>−1</sup>); (<b>B</b>) relative contribution of mesozooplankton density (% ind. L<sup>−1</sup>); (<b>C</b>) biomass of mesozooplankton community (µg C L<sup>−1</sup>); and (<b>D</b>) relative contribution of mesozooplankton biomass (% µg C L<sup>−1</sup>).</p>
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<p>Total community-weighted mean trait values (CWM) of the zooplankton community observed in Camorim Reservoir between 2017 and 2018. (<b>A</b>) Body size; (<b>B</b>) trophic group (carnivorous, herbivorous, and omnivorous); (<b>C</b>) feeding type (raptorial, microphagous filter-feeders, and stationary suspension feeders) and (<b>D</b>) reproduction form (asexual or sexual).</p>
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<p>CWM-RDA analysis based on the mode of feeding (microphagous, stationary, and raptorial) and trophic group (carnivorous, herbivorous, and omnivorous) of the zooplankton community and some main functional traits of phytoplankton species. Aer = aerotopes; Fla = flagella; Het = heterocytes; Muc = mucilage; Si = siliceous exoskeletal structures; Tox = toxins. Phytoplankton class of size is based on the maximum linear dimension: SC_I ≤ 20 µm; SC_II = 20–50 µm; SC_III ≥ 50 µm.</p>
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30 pages, 33212 KiB  
Article
A Study on Adaptive Implicit–Explicit and Explicit–Explicit Time Integration Procedures for Wave Propagation Analyses
by Delfim Soares, Isabelle de Souza Sales, Lucas Ruffo Pinto and Webe João Mansur
Acoustics 2024, 6(3), 651-680; https://doi.org/10.3390/acoustics6030036 - 23 Jul 2024
Viewed by 345
Abstract
This study delves into the effectiveness of two time integration techniques, namely the adaptive implicit–explicit (imp–exp) and explicit–explicit (exp–exp) methods, which stand as efficient formulations for tackling intricate systems characterized by multiple time scales. The imp–exp technique combines implicit and explicit procedures by [...] Read more.
This study delves into the effectiveness of two time integration techniques, namely the adaptive implicit–explicit (imp–exp) and explicit–explicit (exp–exp) methods, which stand as efficient formulations for tackling intricate systems characterized by multiple time scales. The imp–exp technique combines implicit and explicit procedures by employing implicit formulations for faster components and explicit calculations for slower ones, achieving high accuracy and computational efficiency. Conversely, the exp–exp method, a variation of explicit methods with sub-cycling, excels in handling locally stiff systems by employing smaller sub-steps to resolve rapid changes while maintaining stability. For both these approaches, numerical damping may be activated by adaptive time integration parameters, allowing numerical dissipation to be locally applied, if necessary, as a function of the considered discrete model and its computed responses, enabling a highly effective numerical dissipative algorithm. Furthermore, both these techniques stand as very simple and straightforward formulations as they rely solely on single-step displacement–velocity relations, describing truly self-starting procedures, and they stand as entirely automated methodologies, requiring no effort nor expertise from the user. This work provides comparative studies of the adaptive imp–exp and exp–exp approaches to assess their accuracy and efficiency across a wide range of scenarios, with emphasis on geophysical applications characterized by multiscale problems, aiming to establish under which circumstances one approach should be preferred over the other. Full article
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<p>(<b>a</b>) Time interpolation and (<b>b</b>) computational flowchart for the sub-cycling process.</p>
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<p>Spectral radii for the discussed solution procedure (Equation (4a,b)), considering the γ parameter defined by Equation (5b) (implicit approach) and the α parameter defined by (<b>a</b>) Equation (6b) and (<b>b</b>) Equation (6c), for <math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi mathvariant="sans-serif">Ω</mi> </mrow> <mrow> <mi mathvariant="normal">e</mi> </mrow> <mrow> <mi mathvariant="normal">m</mi> <mi mathvariant="normal">a</mi> <mi mathvariant="normal">x</mi> </mrow> </msubsup> </mrow> </semantics></math> = 2.0, 2.1, …, 3.5 (lighter to darker gray color). Results for the CD and the TR are also depicted as black dotted and dashed lines, respectively, for reference.</p>
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<p>Spectral radii for the discussed solution procedure (Equation (4a,b)), considering the γ parameter defined by Equation (5a) (explicit approach) and the α parameter defined by (<b>a</b>) Equation (6b) and (<b>b</b>) Equation (6c), for <math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi mathvariant="sans-serif">Ω</mi> </mrow> <mrow> <mi mathvariant="normal">e</mi> </mrow> <mrow> <mi mathvariant="normal">m</mi> <mi mathvariant="normal">a</mi> <mi mathvariant="normal">x</mi> </mrow> </msubsup> </mrow> </semantics></math> = 0.5, 0.6, …, 2.0 (lighter to darker gray color). Results for the CD and the TR are also depicted as black dotted and dashed lines, respectively, for reference.</p>
Full article ">Figure 4
<p>Period elongation and amplitude decay errors for the discussed solution procedure (Equation (4a,b)), considering the γ parameter defined by Equation (5b) (implicit approach) and the α parameter defined by (<b>a</b>) Equation (6b) and (<b>b</b>) Equation (6c), for <math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi mathvariant="sans-serif">Ω</mi> </mrow> <mrow> <mi mathvariant="normal">e</mi> </mrow> <mrow> <mi mathvariant="normal">m</mi> <mi mathvariant="normal">a</mi> <mi mathvariant="normal">x</mi> </mrow> </msubsup> </mrow> </semantics></math> = 2.0, 2.1, …, 3.5 (lighter to darker gray color). Results for the CD and the TR are as well depicted as black dotted and dashed lines, respectively, for reference.</p>
Full article ">Figure 4 Cont.
<p>Period elongation and amplitude decay errors for the discussed solution procedure (Equation (4a,b)), considering the γ parameter defined by Equation (5b) (implicit approach) and the α parameter defined by (<b>a</b>) Equation (6b) and (<b>b</b>) Equation (6c), for <math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi mathvariant="sans-serif">Ω</mi> </mrow> <mrow> <mi mathvariant="normal">e</mi> </mrow> <mrow> <mi mathvariant="normal">m</mi> <mi mathvariant="normal">a</mi> <mi mathvariant="normal">x</mi> </mrow> </msubsup> </mrow> </semantics></math> = 2.0, 2.1, …, 3.5 (lighter to darker gray color). Results for the CD and the TR are as well depicted as black dotted and dashed lines, respectively, for reference.</p>
Full article ">Figure 5
<p>Period elongation and amplitude decay errors for the discussed solution procedure (Equation (4a,b)), considering the γ parameter defined by Equation (5a) (explicit approach) and the α parameter defined by (<b>a</b>) Equation (6b) and (<b>b</b>) Equation (6c), for <math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi mathvariant="sans-serif">Ω</mi> </mrow> <mrow> <mi mathvariant="normal">e</mi> </mrow> <mrow> <mi mathvariant="normal">m</mi> <mi mathvariant="normal">a</mi> <mi mathvariant="normal">x</mi> </mrow> </msubsup> </mrow> </semantics></math> = 0.5, 0.6, …, 2.0 (lighter to darker gray color). Results for the CD and the TR are also depicted as black dotted and dashed lines, respectively, for reference.</p>
Full article ">Figure 6
<p>Adopted spatial discretizations for the first example: (<b>a</b>) discretization 1 (50 k elements); (<b>b</b>) discretization 2 (100 k elements); (<b>c</b>) discretization 3 (150 k elements); and (<b>d</b>) discretization 4 (200k elements).</p>
Full article ">Figure 7
<p>Computed values for (1) <math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi mathvariant="sans-serif">Ω</mi> </mrow> <mrow> <mi mathvariant="normal">e</mi> </mrow> <mrow> <mi mathvariant="normal">m</mi> <mi mathvariant="normal">a</mi> <mi mathvariant="normal">x</mi> </mrow> </msubsup> </mrow> </semantics></math> and (2)<math display="inline"><semantics> <mrow> <mtext> </mtext> <msubsup> <mrow> <mi mathvariant="sans-serif">γ</mi> </mrow> <mrow> <mi mathvariant="normal">e</mi> </mrow> <mrow> <mi mathvariant="normal">n</mi> </mrow> </msubsup> </mrow> </semantics></math>, for the imp–exp analyses, considering (<b>a</b>) discretization 1; (<b>b</b>) discretization 2; (<b>c</b>) discretization 3; and (<b>d</b>) discretization 4.</p>
Full article ">Figure 7 Cont.
<p>Computed values for (1) <math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi mathvariant="sans-serif">Ω</mi> </mrow> <mrow> <mi mathvariant="normal">e</mi> </mrow> <mrow> <mi mathvariant="normal">m</mi> <mi mathvariant="normal">a</mi> <mi mathvariant="normal">x</mi> </mrow> </msubsup> </mrow> </semantics></math> and (2)<math display="inline"><semantics> <mrow> <mtext> </mtext> <msubsup> <mrow> <mi mathvariant="sans-serif">γ</mi> </mrow> <mrow> <mi mathvariant="normal">e</mi> </mrow> <mrow> <mi mathvariant="normal">n</mi> </mrow> </msubsup> </mrow> </semantics></math>, for the imp–exp analyses, considering (<b>a</b>) discretization 1; (<b>b</b>) discretization 2; (<b>c</b>) discretization 3; and (<b>d</b>) discretization 4.</p>
Full article ">Figure 8
<p>Computed values for (1) <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Δ</mi> <msub> <mrow> <mi mathvariant="normal">t</mi> </mrow> <mrow> <mi mathvariant="normal">e</mi> </mrow> </msub> </mrow> </semantics></math> and (2)<math display="inline"><semantics> <mrow> <mtext> </mtext> <mi mathvariant="sans-serif">Δ</mi> <msub> <mrow> <mi mathvariant="normal">t</mi> </mrow> <mrow> <mi mathvariant="normal">i</mi> </mrow> </msub> </mrow> </semantics></math> for the exp–exp analyses, considering (<b>a</b>) discretization 1; (<b>b</b>) discretization 2; (<b>c</b>) discretization 3; and (<b>d</b>) discretization 4.</p>
Full article ">Figure 9
<p>Time history results for <math display="inline"><semantics> <mrow> <mi mathvariant="normal">u</mi> </mrow> </semantics></math>, at a point located 10 m horizontally away from the applied source (discretization 4), considering solutions by (<b>a</b>) implicit and (<b>b</b>) explicit methods, as well as their hybrid extensions.</p>
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<p>Convergence curves for the discussed time-marching procedures and discretizations.</p>
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<p>Time–history results for the axial displacement at the middle of the rod, considering <math display="inline"><semantics> <mrow> <mrow> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> <mo>/</mo> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> </mrow> </mrow> <mo>=</mo> <mn>4</mn> </mrow> </semantics></math>: (<b>a</b>) implicit and (<b>b</b>) explicit approaches, as well as their hybrid extensions.</p>
Full article ">Figure 12
<p>Time–history results for the axial displacement at the middle of the rod, considering <math display="inline"><semantics> <mrow> <mrow> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> <mo>/</mo> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> </mrow> </mrow> <mo>=</mo> <mn>6</mn> </mrow> </semantics></math>: (<b>a</b>) implicit and (<b>b</b>) explicit approaches, as well as their hybrid extensions.</p>
Full article ">Figure 13
<p>Computed errors and CPU times for different material distributions, considering the exp–exp (open circle) and the imp–exp (solid circle, lighter gray color is depicted when a purely exp solution takes place, following the computed optimal <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Δ</mi> <mi mathvariant="normal">t</mi> </mrow> </semantics></math> value) approaches; <math display="inline"><semantics> <mrow> <mrow> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> <mo>/</mo> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mn>2</mn> </mrow> </mrow> </mrow> </semantics></math>.</p>
Full article ">Figure 14
<p>Computed errors and CPU times for different material distributions, considering the exp–exp (open circle) and the imp–exp (solid circle, lighter gray color is depicted when a purely exp solution takes place, following the computed optimal Δt value) approaches; <math display="inline"><semantics> <mrow> <mrow> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> <mo>/</mo> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mn>3</mn> </mrow> </mrow> </mrow> </semantics></math>.</p>
Full article ">Figure 15
<p>Computed errors and CPU times for different material distributions, considering the exp–exp (open circle) and the imp–exp (solid circle, lighter gray color is depicted when a purely exp solution takes place, following the computed optimal <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Δ</mi> <mi mathvariant="normal">t</mi> </mrow> </semantics></math> value) approaches; <math display="inline"><semantics> <mrow> <mrow> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> <mo>/</mo> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mn>4</mn> </mrow> </mrow> </mrow> </semantics></math>.</p>
Full article ">Figure 16
<p>Computed errors and CPU times for different material distributions, considering the exp–exp (open circle) and the imp–exp (solid circle, lighter gray color is depicted when a purely exp solution takes place, following the computed optimal <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Δ</mi> <mi mathvariant="normal">t</mi> </mrow> </semantics></math> value) approaches; <math display="inline"><semantics> <mrow> <mrow> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> <mo>/</mo> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mn>5</mn> </mrow> </mrow> </mrow> </semantics></math>.</p>
Full article ">Figure 17
<p>Computed errors and CPU times for different material distributions, considering the exp–exp (open circle) and the imp–exp (solid circle, lighter gray color is depicted when a purely exp solution takes place, following the computed optimal <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Δ</mi> <mi mathvariant="normal">t</mi> </mrow> </semantics></math> value) approaches; <math display="inline"><semantics> <mrow> <mrow> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> <mo>/</mo> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mn>6</mn> </mrow> </mrow> </mrow> </semantics></math>.</p>
Full article ">Figure 18
<p>Computed errors and CPU times for different material distributions, considering the exp–exp (open circle) and the imp–exp (solid circle, lighter gray color is depicted when a purely exp solution takes place, following the computed optimal <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Δ</mi> <mi mathvariant="normal">t</mi> </mrow> </semantics></math> value) approaches; <math display="inline"><semantics> <mrow> <mrow> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> <mo>/</mo> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mn>7</mn> </mrow> </mrow> </mrow> </semantics></math>.</p>
Full article ">Figure 19
<p>Computed errors and CPU times for different material distributions, considering the exp–exp (open circle) and the imp–exp (solid circle, lighter gray color is depicted when a purely exp solution takes place, following the computed optimal <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Δ</mi> <mi mathvariant="normal">t</mi> </mrow> </semantics></math> value) approaches; <math display="inline"><semantics> <mrow> <mrow> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> <mo>/</mo> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mn>8</mn> </mrow> </mrow> </mrow> </semantics></math>.</p>
Full article ">Figure 20
<p>Analytical (black), imp–exp (light purple), and exp–exp (dark purple) time–history responses (all curves are visually the same) for the axial displacements at the middle of the rod, for <math display="inline"><semantics> <mrow> <mrow> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> <mo>/</mo> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> </mrow> </mrow> </mrow> </semantics></math> equals to (<b>a</b>) 2, (<b>b</b>) 3, (<b>c</b>) 4, (<b>d</b>) 5, (<b>e</b>) 6, (<b>f</b>) 7, and (<b>g</b>) 8; considering a percentage of material 2 equals to (1) 10%, (2) 50%, and (3) 90%.</p>
Full article ">Figure 20 Cont.
<p>Analytical (black), imp–exp (light purple), and exp–exp (dark purple) time–history responses (all curves are visually the same) for the axial displacements at the middle of the rod, for <math display="inline"><semantics> <mrow> <mrow> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>2</mn> </mrow> </msub> </mrow> <mo>/</mo> <mrow> <msub> <mrow> <mi mathvariant="normal">c</mi> </mrow> <mrow> <mn>1</mn> </mrow> </msub> </mrow> </mrow> </mrow> </semantics></math> equals to (<b>a</b>) 2, (<b>b</b>) 3, (<b>c</b>) 4, (<b>d</b>) 5, (<b>e</b>) 6, (<b>f</b>) 7, and (<b>g</b>) 8; considering a percentage of material 2 equals to (1) 10%, (2) 50%, and (3) 90%.</p>
Full article ">Figure 21
<p>(<b>a</b>) Adopted spatial discretization for the homogeneous rod and its computed values for: (<b>b</b>) <math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi mathvariant="sans-serif">Ω</mi> </mrow> <mrow> <mi mathvariant="normal">e</mi> </mrow> <mrow> <mi mathvariant="normal">m</mi> <mi mathvariant="normal">a</mi> <mi mathvariant="normal">x</mi> </mrow> </msubsup> <mo>;</mo> </mrow> </semantics></math> (<b>c</b>) <math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi mathvariant="sans-serif">γ</mi> </mrow> <mrow> <mi mathvariant="normal">e</mi> </mrow> <mrow> <mi mathvariant="normal">n</mi> </mrow> </msubsup> </mrow> </semantics></math>; (<b>d</b>) <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Δ</mi> <msub> <mrow> <mi mathvariant="normal">t</mi> </mrow> <mrow> <mi mathvariant="normal">e</mi> </mrow> </msub> </mrow> </semantics></math>; and (<b>e</b>) <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Δ</mi> <msub> <mrow> <mi mathvariant="normal">t</mi> </mrow> <mrow> <mi mathvariant="normal">i</mi> </mrow> </msub> </mrow> </semantics></math>.</p>
Full article ">Figure 21 Cont.
<p>(<b>a</b>) Adopted spatial discretization for the homogeneous rod and its computed values for: (<b>b</b>) <math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi mathvariant="sans-serif">Ω</mi> </mrow> <mrow> <mi mathvariant="normal">e</mi> </mrow> <mrow> <mi mathvariant="normal">m</mi> <mi mathvariant="normal">a</mi> <mi mathvariant="normal">x</mi> </mrow> </msubsup> <mo>;</mo> </mrow> </semantics></math> (<b>c</b>) <math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi mathvariant="sans-serif">γ</mi> </mrow> <mrow> <mi mathvariant="normal">e</mi> </mrow> <mrow> <mi mathvariant="normal">n</mi> </mrow> </msubsup> </mrow> </semantics></math>; (<b>d</b>) <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Δ</mi> <msub> <mrow> <mi mathvariant="normal">t</mi> </mrow> <mrow> <mi mathvariant="normal">e</mi> </mrow> </msub> </mrow> </semantics></math>; and (<b>e</b>) <math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Δ</mi> <msub> <mrow> <mi mathvariant="normal">t</mi> </mrow> <mrow> <mi mathvariant="normal">i</mi> </mrow> </msub> </mrow> </semantics></math>.</p>
Full article ">Figure 22
<p>Time–history results for the axial displacement at the middle of the homogeneous rod, considering (<b>a</b>) implicit and (<b>b</b>) explicit approaches, as well as their hybrid extensions.</p>
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<p>Geological models: (<b>a</b>) model 1—Buzios; (<b>b</b>) model 2—2DEW; and (<b>c</b>) model 3—2004BP.</p>
Full article ">Figure 24
<p>Subdomain divisions for the (1) imp–exp (<math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi mathvariant="sans-serif">γ</mi> </mrow> <mrow> <mi mathvariant="normal">e</mi> </mrow> <mrow> <mi mathvariant="normal">n</mi> </mrow> </msubsup> </mrow> </semantics></math> values are depicted) and (2) exp–exp (<math display="inline"><semantics> <mrow> <mi mathvariant="sans-serif">Δ</mi> <msub> <mrow> <mi mathvariant="normal">t</mi> </mrow> <mrow> <mi mathvariant="normal">i</mi> </mrow> </msub> </mrow> </semantics></math> values are depicted) methods, for (<b>a</b>) model 1; (<b>b</b>) model 2; and (<b>c</b>) model 3.</p>
Full article ">Figure 25
<p>Computed results along the discretized domain of model 1, for the (<b>a</b>) EG-α, (<b>b</b>) imp–exp, and (<b>c</b>) exp–exp methods at different time instants: (1) 3 s and (2) 6 s.</p>
Full article ">Figure 26
<p>Computed results along the discretized domain of model 2, for the (<b>a</b>) EG-α, (<b>b</b>) imp–exp, and (<b>c</b>) exp–exp methods at different time instants: (1) 3 s and (2) 6 s.</p>
Full article ">Figure 27
<p>Computed results along the discretized domain of model 3, for the (<b>a</b>) EG-α, (<b>b</b>) imp–exp, and (<b>c</b>) exp–exp methods at different time instants: (1) 10 s; (2) 15 s; and (3) 25 s.</p>
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