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10 pages, 613 KiB  
Communication
First Report and Molecular Characterization of Umbra-like Virus on Ficus carica Caprifig Trees in Crimea
by Elena Motsar, Anna Sheveleva, Fedor Sharko, Irina Mitrofanova and Sergei Chirkov
Plants 2024, 13(16), 2262; https://doi.org/10.3390/plants13162262 - 14 Aug 2024
Abstract
Fig mosaic is the most serious viral disease affecting figs. A fig germplasm collection from the Nikita Botanical Garden on the Crimean Peninsula was surveyed for viruses using high-throughput sequencing and RT-PCR with primers specific to known fig viruses. Reads related to fig [...] Read more.
Fig mosaic is the most serious viral disease affecting figs. A fig germplasm collection from the Nikita Botanical Garden on the Crimean Peninsula was surveyed for viruses using high-throughput sequencing and RT-PCR with primers specific to known fig viruses. Reads related to fig umbra-like virus (FULV) were generated in samples from Ficus carica caprifig (pollinator) trees of the cultivar Belle dure. F. carica trees of other cultivars, as well as F. afghanistanica, F. palmata, and F. virgata trees, tested negative for FULV. Near-complete genomes of five Crimean fig umbra-like virus (FULV-CR) isolates shared 99.4% to 99.9% identity and were most closely related (85.2% identity) to the Hawaiian FULV isolate Oahu1 (MW480892). Based on their genome structure and a phylogenetic analysis, the FULV-CR isolates were determined to be dicot-infecting Class 2 umbra-like viruses and seem to be highly divergent forms of the same virus found recently in Hawaii, USA. This is the first report of an umbra-like virus found on figs in Crimea and outside of Hawaii, expanding information on the geographical distribution and genetic diversity of FULV. All of the Crimean FULV-positive plants were also co-infected with fig mosaic virus, fig badnavirus 1, and grapevine badna FI virus. Full article
(This article belongs to the Special Issue Pathogenesis and Disease Control in Crops—2nd Edition)
21 pages, 4530 KiB  
Article
Accumulation of Heavy Metals in Blueberry (Vaccinium myrtillus L.) and Dominant Mosses (Pleurozium schreberi (Willd. ex Brid.) Mitt.) as Bioindicators of the Expressway Influence on Forest Ecosystems
by Arkadiusz Warczyk, Piotr Gruba, Agnieszka Józefowska, Tomasz Wanic, Agata Warczyk, Bartłomiej Świątek, Julita Bujak and Marcin Pietrzykowski
Atmosphere 2024, 15(8), 971; https://doi.org/10.3390/atmos15080971 - 14 Aug 2024
Abstract
The intensive use, development, and expansion of the road network is expanding the zones of direct impact of road transport on forest ecosystems. Issues related to the mobility of trace elements in forest ecosystems along motorways are very important due to the numerous [...] Read more.
The intensive use, development, and expansion of the road network is expanding the zones of direct impact of road transport on forest ecosystems. Issues related to the mobility of trace elements in forest ecosystems along motorways are very important due to the numerous environmental risks associated with the excessive accumulation of metals, the ability to migrate and accumulate in plants and animals, and the risk of transferring these elements to higher trophic levels. The aim of this article was therefore to determine the impact of road traffic on the basis of contents of trace metals Cd, Cr, Cu, Ni, Pb, and Zn and to describe the relationship of these contents in moss gametophytes and blueberry leaves taken in the vicinity of an existing and variously expanded expressway (S7, Poland, Europe). Analyses of transport impacts included the effects of distance and time of pollutant deposition and road transport on habitat and stand conditions. The highest contents of Cd, Cr, Cu, Ni, Pb, and Zn in moss tissues were found in fir stands and the contents were, respectively, 0.36 mg·kg−1, 5.91 mg·kg−1, 12.5 mg·kg−1, 3.26 mg·kg−1, 8.82 mg·kg−1, and 55.28 mg·kg−1. Mosses showed the best bioindication capacity of all of the studied ecosystem elements. The Pb, Zn, Cr, Cu, and Ni contents were particularly markedly elevated in moss tissues relative to non-anthropopressured areas and dependent on distance from the emitter (road). Blueberry proved to be a less useful bioindicator, as the contents of Cd, Cr, Cu, Ni, Pb, and Zn found were similar to the data from non-anthropopressured areas and were, respectively, 0.09 mg·kg−1, 0.98 mg·kg−1, 7.12 mg·kg−1, 2.49 mg·kg−1, 1.18 mg·kg−1, and 15.91 mg·kg−1 in fir stands and 0.04 mg·kg−1, 0.47 mg·kg−1, 6.63 mg·kg−1, 1.65 mg·kg−1, 0.72 mg·kg−1, and 17.44 mg·kg−1 in pine stands. Full article
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Figure 1
<p>Location of study plots.</p>
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<p>Sampling scheme in the study plots.</p>
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<p>Contents of Cd, Cr, and Cu in mosses in the study zones under pine (So) and fir (Jd) stands with reference contents (R) in areas free of traffic influence (ANOVA, New Providence, NJ, USA Tukey’s post hoc test, <span class="html-italic">p</span> = 0.05) [<a href="#B74-atmosphere-15-00971" class="html-bibr">74</a>,<a href="#B80-atmosphere-15-00971" class="html-bibr">80</a>].</p>
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<p>Contents of Ni, Pb, and Zn in mosses in the study zones under pine (So) and fir (Jd) stands with reference contents (R) in areas devoid of traffic influence (ANOVA, Tukey’s post hoc test, <span class="html-italic">p</span> = 0.05) [<a href="#B74-atmosphere-15-00971" class="html-bibr">74</a>].</p>
Full article ">Figure 4 Cont.
<p>Contents of Ni, Pb, and Zn in mosses in the study zones under pine (So) and fir (Jd) stands with reference contents (R) in areas devoid of traffic influence (ANOVA, Tukey’s post hoc test, <span class="html-italic">p</span> = 0.05) [<a href="#B74-atmosphere-15-00971" class="html-bibr">74</a>].</p>
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<p>Cd and Cr contents in blueberry leaves in study zones under pine (So) and fir (Jd) stands with reference contents (R) in areas devoid of traffic influence (ANOVA, Tukey’s post hoc test, <span class="html-italic">p</span> = 0.05) [<a href="#B75-atmosphere-15-00971" class="html-bibr">75</a>,<a href="#B76-atmosphere-15-00971" class="html-bibr">76</a>].</p>
Full article ">Figure 5 Cont.
<p>Cd and Cr contents in blueberry leaves in study zones under pine (So) and fir (Jd) stands with reference contents (R) in areas devoid of traffic influence (ANOVA, Tukey’s post hoc test, <span class="html-italic">p</span> = 0.05) [<a href="#B75-atmosphere-15-00971" class="html-bibr">75</a>,<a href="#B76-atmosphere-15-00971" class="html-bibr">76</a>].</p>
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<p>Cu and Ni contents in blueberry leaves in the study zones under pine (So) and fir (Jd) stands with reference contents (R) in areas devoid of traffic influence (ANOVA, Tukey’s post hoc test, <span class="html-italic">p</span> = 0.05) [<a href="#B76-atmosphere-15-00971" class="html-bibr">76</a>].</p>
Full article ">Figure 6 Cont.
<p>Cu and Ni contents in blueberry leaves in the study zones under pine (So) and fir (Jd) stands with reference contents (R) in areas devoid of traffic influence (ANOVA, Tukey’s post hoc test, <span class="html-italic">p</span> = 0.05) [<a href="#B76-atmosphere-15-00971" class="html-bibr">76</a>].</p>
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<p>Pb and Zn contents in blueberry leaves in the study zones under pine (So) and fir (Jd) stands with reference contents (R) in areas devoid of traffic influence (ANOVA, Tukey’s post hoc test, <span class="html-italic">p</span> = 0.05) [<a href="#B75-atmosphere-15-00971" class="html-bibr">75</a>,<a href="#B76-atmosphere-15-00971" class="html-bibr">76</a>].</p>
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<p>Pb and Zn contents in blueberry leaves in the study zones under pine (So) and fir (Jd) stands with reference contents (R) in areas devoid of traffic influence (ANOVA, Tukey’s post hoc test, <span class="html-italic">p</span> = 0.05) [<a href="#B75-atmosphere-15-00971" class="html-bibr">75</a>,<a href="#B76-atmosphere-15-00971" class="html-bibr">76</a>].</p>
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<p>Igeo geoaccumulation factor analysis in the 0–3 cm layer of soils for Cd, Cr, Cu, Ni, Pb, and Zn.</p>
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9 pages, 5898 KiB  
Article
Technical Quality of Contemporary Endoscopic Sinus Surgery: An Assessment by Study of Anatomical Features Needing Attention at Revision Surgery
by Nitish Kumar, Pedro Lanca Gomes, Michael J. Marino, Amar Miglani and Devyani Lal
Sinusitis 2024, 8(2), 28-36; https://doi.org/10.3390/sinusitis8020005 - 14 Aug 2024
Abstract
Although technical causes of endoscopic sinus surgery (ESS) failure have long been reported, we were curious about the quality of contemporary sinus surgery. The electronic health database of Mayo Clinic, Arizona was scrutinized to identify adult patients with diffuse chronic rhinosinusitis (CRS) who [...] Read more.
Although technical causes of endoscopic sinus surgery (ESS) failure have long been reported, we were curious about the quality of contemporary sinus surgery. The electronic health database of Mayo Clinic, Arizona was scrutinized to identify adult patients with diffuse chronic rhinosinusitis (CRS) who underwent revision ESS between January 2019 and September 2023 with a history of bilateral full-house ESS. Anatomical features on preoperative radiology and intraoperative endoscopy were cataloged: residual uncinate tissue, maxillary antrostomy with a non-incorporated natural os, residual ethmoidal septations (three septations > 3 mm), and inadequate sphenoid osteotomy (os size < 6 mm). Sixty-nine subjects were identified. A deviated nasal septum was present in 53.6%. Residual uncinate tissue was noted in 50.7% of patients associated with missed natural maxillary os in 39.13% of antrostomies. An inadequate os diameter was noted in 63.8% of sphenoidotomies. Significant residual septations were seen in posterior ethmoidal cells in 66.7% and anterior ethmoidal cells in 62.3% of patients. Residual frontoethmoidal cells were noted in 72.4% of patients. Although the extent of ESS must be individualized, a high prevalence of features reflecting suboptimal surgery that could limit the success of ESS was identified. These findings merit further consideration for focused training during residency and continuous professional development activities. Full article
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<p>Coronal section of a preoperative non-contrasted sinus CT of a patient undergoing revision ESS showing residual uncinate process bilaterally (within red dotted circles).</p>
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<p>Endoscopic image of left nasal cavity showing missed natural maxillary ostium (yellow circle) visualized after removal of residual uncinate tissue (black solid arrow) with posteriorly placed maxillary antrostomy from previous ESS (white solid arrow); B—orbit, MT—middle turbinate.</p>
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<p>Axial section of non-contrasted sinus CT showing residual bony septae in anterior (white arrow) and posterior (red arrow) ethmoids bilaterally.</p>
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<p>Parasagittal section of non-contrasted sinus CT showing inadequate sphenoid osteotomy (red dotted circle) with residual anterior and posterior frontoethmoidal cells in the frontal outflow tract (red arrow).</p>
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<p>The graphical representation of patient distribution according to the time interval from previous surgery (in 5-year intervals) with no. of patients displayed on the <span class="html-italic">x</span>-axis and interval from primary ESS on the <span class="html-italic">y</span>-axis shows most patients in this study had primary surgery within 0–5 years of revision ESS.</p>
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18 pages, 6982 KiB  
Article
Groundwater Quality Assessment at East El Minia Middle Eocene Carbonate Aquifer: Water Quality Index (WQI) and Health Risk Assessment (HRA)
by Abdel-Aziz A. Abdel-Aziz, Alaa Mostafa, Salman A. Salman, Ramadan S. A. Mohamed, Moustafa Gamal Snousy, Mohamed S. Ahmed, Mariacrocetta Sambito and Esam Ismail
Water 2024, 16(16), 2288; https://doi.org/10.3390/w16162288 - 14 Aug 2024
Viewed by 79
Abstract
Around the world, groundwater supply is critical for vital needs such as drinking and irrigation. This work investigates groundwater in the carbonate aquifer of the Middle Miocene in the east El Minia area, Egypt. In this regard, thirty-two groundwater samples were collected. The [...] Read more.
Around the world, groundwater supply is critical for vital needs such as drinking and irrigation. This work investigates groundwater in the carbonate aquifer of the Middle Miocene in the east El Minia area, Egypt. In this regard, thirty-two groundwater samples were collected. The water samples were analyzed for Ca2+, Mg2+, Na+, K+, Cl, SO42−, NO3, CO2, HCO3, Fe, Mn, Cd, As, Cr, Cu, and Pb. Groundwater has been evaluated using two methods, which are water quality index (WQI) and health risk assessment (HRA). The predominant groundwater is soft water, and the samples range in salinity from fresh to slightly salty. The groundwater mostly falls into the alkaline water type. All the groundwater samples under study are deemed low quality for human consumption due to water contamination. Fe, Mn, Cd, Cu, and Pb have high HQnc values, which can result in non-carcinogenic health issues in adults, while Mn, Cu, and Pb can give rise to non-carcinogenic health issues in children. Full article
(This article belongs to the Special Issue Managing Water Resources Sustainably)
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Figure 1
<p>Geological and geomorphological map and sampling sites of the area (after [<a href="#B27-water-16-02288" class="html-bibr">27</a>]).</p>
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<p>The climate of the area over the last 60 years, according to [<a href="#B29-water-16-02288" class="html-bibr">29</a>,<a href="#B30-water-16-02288" class="html-bibr">30</a>]; (<b>A</b>) is the climate from 1961 to 1990, while (<b>B</b>) is from 1991 to 2022.</p>
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<p>Geological cross-sections illustrate the typical faults that cut the studied sequence (<b>A</b>–<b>C</b>).</p>
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<p>Significations and nutrients concentrations in the studied wells.</p>
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<p>Ammonia (NH<sub>4</sub>) zoning map of the groundwater samples.</p>
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<p>Piper diagram for classification of the groundwater samples.</p>
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<p>Graphical projection of THI values in children and adults in the investigated area.</p>
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<p>Zonation map of (<b>A</b>) Total Hazard Index (THI) for adults; (<b>B</b>) arsenic non-carcinogenic health risks for adults; (<b>C</b>) chromium non-carcinogenic health risks for adults.</p>
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<p>Zonation map of (<b>A</b>) iron non-carcinogenic health risks for children; (<b>B</b>) cadmium non-carcinogenic health risks for children; (<b>C</b>) chromium non-carcinogenic health risks for children in the investigated area.</p>
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12 pages, 2664 KiB  
Article
Research on the Structural–Phase and Physical–Mechanical Characteristics of the Cr3C2-NiCr Composite Coating Deposited by the HVOF Method on E110 Zirconium Alloy
by Sherzod Kurbanbekov, Bauyrzhan Rakhadilov, Dauir Kakimzhanov, Bekbolat Seitov, Karakoz Katpaeva, Abil Kurmantayev, Merkhat Dautbekov and Aidar Kengesbekov
Coatings 2024, 14(8), 1030; https://doi.org/10.3390/coatings14081030 - 14 Aug 2024
Viewed by 123
Abstract
Composite coatings based on chromium carbide (Cr3C2) and nickel–chromium alloys (NiCr) are widely used due to their unique properties, including high heat resistance, wear resistance and corrosion resistance. This article studies the structural–phase and physical–mechanical characteristics of Cr3 [...] Read more.
Composite coatings based on chromium carbide (Cr3C2) and nickel–chromium alloys (NiCr) are widely used due to their unique properties, including high heat resistance, wear resistance and corrosion resistance. This article studies the structural–phase and physical–mechanical characteristics of Cr3C2-NiCr composite coatings applied by high-velocity oxygen fuel to E110 zirconium alloy. The HVOF method was chosen to create coatings with high adhesion to the substrate and excellent performance properties. Analysis of the microstructure of the cross-section showed the thickness of the modified surface layer from 75 to 110 μm, depending on the processing modes. Energy dispersive X-ray spectral analysis revealed the presence of elements Cr, Ni, C and O in the coating composition. Structural–phase analysis confirmed the formation of coatings with a high concentration of Cr3C2 carbide particles and NiCr (nickel–chromium) phases. The resulting composite coatings based on Cr3C2-NiCr had a significantly high microhardness, ranging from HV 1190 to HV 1280, and the friction coefficient varied in a significant range from 0.679 to 0.502 depending on the processing conditions. The maximum adhesion strength was 9.19 MPa per square centimeter. Full article
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Figure 1
<p>Appearance (<b>a</b>) and block diagram (<b>b</b>) of installation for high-velocity HVOF spraying: 1—burner, 2—powder dispenser, 3—chiller, 4—gas control panel, 5—compressor, 6—gas in cylinder (C<sub>3</sub>H<sub>8</sub>) and 7—gas in cylinder (O<sub>2</sub>).</p>
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<p>SEM image and EDX analysis of cross-sectional morphology of Cr<sub>3</sub>C<sub>2</sub>-NiCr coatings. (<b>a</b>–<b>d</b>) see <a href="#coatings-14-01030-t001" class="html-table">Table 1</a>.</p>
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<p>Results of X-ray phase analysis of Cr<sub>3</sub>C<sub>2</sub>-NiCr coatings obtained by HVOF method. (<b>a</b>–<b>d</b>) see <a href="#coatings-14-01030-t001" class="html-table">Table 1</a>.</p>
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<p>Microhardness distribution from the surface layer to the core of the samples. (<b>a</b>–<b>d</b>) see <a href="#coatings-14-01030-t001" class="html-table">Table 1</a>.</p>
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<p>The dependence of the friction coefficient of the coatings on the length of the friction path. (<b>a</b>–<b>d</b>) see <a href="#coatings-14-01030-t001" class="html-table">Table 1</a>.</p>
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<p>Adhesion testing using the peel-off method for the Cr<sub>3</sub>C<sub>2</sub>-NiCr coatings obtained through the HVOF method. (<b>a</b>–<b>d</b>) see <a href="#coatings-14-01030-t001" class="html-table">Table 1</a>.</p>
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<p>Potentiodynamic polarization curves of Cr<sub>3</sub>C<sub>2</sub>-NiCr coatings. (<b>a</b>–<b>d</b>) see <a href="#coatings-14-01030-t001" class="html-table">Table 1</a>.</p>
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12 pages, 1029 KiB  
Article
Inorganic Characterization of Feeds Based on Processed Animal Protein Feeds
by Paolo Inaudi, Luca Maria Mercurio, Daniela Marchis, Andrea Bosusco, Mery Malandrino, Ornella Abollino, Laura Favilli, Stefano Bertinetti and Agnese Giacomino
Molecules 2024, 29(16), 3845; https://doi.org/10.3390/molecules29163845 - 14 Aug 2024
Viewed by 177
Abstract
The potential of utilizing inorganic constituents in processed animal proteins (PAPs) for species identification in animal feeds was investigated, with the aim of using these constituents to ensure the quality and authenticity of the products. This study aimed to quantify the inorganic content [...] Read more.
The potential of utilizing inorganic constituents in processed animal proteins (PAPs) for species identification in animal feeds was investigated, with the aim of using these constituents to ensure the quality and authenticity of the products. This study aimed to quantify the inorganic content across various PAP species and assess whether inorganic analysis could effectively differentiate between PAP species, ultimately aiding in the identification of PAP fractions in animal feeds. Four types of PAPs, namely bovine, swine, poultry, and fish-based, were analyzed and compared to others made up of feathers of vegetal-based feed. Also, three insect-based PAPs (Cricket, Silkworm, Flour Moth) were considered in this study to evaluate the differences in terms of the nutrients present in this type of feed. Ionic chromatography (IC) was used to reveal the concentrations of NO3, NO2, Cl, and SO42−, and inductively coupled plasma optical emission spectroscopy (ICP-OES) to detect Al, Ca, Cd, Cr, Cu, Fe, K, Mg, Mn, Mo, Na, Ni, P, Si, Sr, Ti, and Zn. The application of multivariate chemometric techniques to the experimental results allowed us to determine the identification capability of the inorganic composition to identify correlations among the variables and to reveal similarities and differences among the different species. The results show the possibility of using this component for discriminating between different PAPS; in particular, fish PAPs are high in Cd, Sr, Na, and Mg content; swine PAPs have lower metal content due to high fat; feathers and vegetal feed have similar Al, Si, and Ni, but feathers are higher in Fe and Zn; and insect PATs have nutrient levels comparable to PAPs of other origins but are very high in Zn, Cu, and K. Full article
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<p>Graph for ICP-OES analysis results.</p>
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<p>PCA on mean ICP-OES and IC results.</p>
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19 pages, 2140 KiB  
Article
Exploiting the Yield Potential of Spring Barley in Poland: The Roles of Crop Rotation, Cultivar, and Plant Protection
by Marta K. Kostrzewska and Magdalena Jastrzębska
Agriculture 2024, 14(8), 1355; https://doi.org/10.3390/agriculture14081355 - 13 Aug 2024
Viewed by 287
Abstract
The need to better exploit crop yield potential through agronomic practices is driven by the necessity to feed a growing population in a changing climate. In this regard, cereals, including barley, represent strategic crops. Barley grain yield in Poland is comparable to the [...] Read more.
The need to better exploit crop yield potential through agronomic practices is driven by the necessity to feed a growing population in a changing climate. In this regard, cereals, including barley, represent strategic crops. Barley grain yield in Poland is comparable to the European average. Under good habitat and agronomic conditions, it can exceed the average. The effects of cropping system (continuous cropping, CC; crop rotation, CR), cultivar (Radek, Skald), plant protection level (control treatment, CT; herbicide, H; herbicide and fungicide, HF), and the interactions among these factors on spring barley yield were evaluated in northeast Poland in 2017–2022. Growing spring barley in the CR system promoted higher yields compared to the CC system due to increased spike density and 1000-grain weight (TGW). Skald, with a higher TGW, yielded more than Radek. H treatment increased barley yield by improving the spike density and TGW, while fungicide inclusion (HF) contributed to further yield increase by improving the TGW. The interaction of CR and HF practices contributed to the greatest realization of the yield potential of both cultivars. The study confirmed the strong contribution of inter-annual weather variability in modifying the effects of cropping system, cultivar, and plant protection strategy on barley yield. Full article
(This article belongs to the Special Issue Effect of Cultivation Practices on Crop Yield and Quality)
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<p>The arrangement of continuous cropping (CC) and crop rotation (CR) fields in the Bałcyny experiment on 19 July 2022.</p>
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<p>The arrangement of cultivars and plant protection levels in a single field of spring barley grown in continuous cropping or crop rotation in the experiment in Bałcyny in 2017–2022. CT—plots with no herbicide or fungicide treatments; H—plots with herbicide application; HF—plots with the application of herbicide and fungicide.</p>
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<p>Effects of the interactions of cropping system × plant protection (<b>a</b>), cropping system × year (<b>b</b>), cultivar × year (<b>c</b>), and plant protection × year (<b>d</b>) on spring barley yield (means and standard errors). Different letters indicate significant differences at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effect of the interaction of cultivar × plant protection on spike density of spring barley (means and standard errors); different letters indicate significant differences at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Effect of the interactions of cropping system × cultivar (<b>a</b>), cropping system × plant protection (<b>b</b>), cultivar × plant protection (<b>c</b>), and cultivar × year (<b>d</b>) on 1000-grain weight of spring barley (means and standard errors). Different letters indicate significant differences at <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 5 Cont.
<p>Effect of the interactions of cropping system × cultivar (<b>a</b>), cropping system × plant protection (<b>b</b>), cultivar × plant protection (<b>c</b>), and cultivar × year (<b>d</b>) on 1000-grain weight of spring barley (means and standard errors). Different letters indicate significant differences at <span class="html-italic">p</span> &lt; 0.05.</p>
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19 pages, 5822 KiB  
Article
Comprehensive Perspective on Contamination Identification, Source Apportionment, and Ecological Risk Assessment of Heavy Metals in Paddy Soils of a Tropical Island
by Yan Guo, Yi Yang and Yonghua Li
Agronomy 2024, 14(8), 1777; https://doi.org/10.3390/agronomy14081777 - 13 Aug 2024
Viewed by 154
Abstract
The closed-loop material and energy cycles of islands increase the susceptibility of their internal ecosystem components to heavy metal accumulation and transfer. However, limited research on the island scale hinders our understanding of heavy metal environmental geochemistry in this unique environment. This study [...] Read more.
The closed-loop material and energy cycles of islands increase the susceptibility of their internal ecosystem components to heavy metal accumulation and transfer. However, limited research on the island scale hinders our understanding of heavy metal environmental geochemistry in this unique environment. This study focused on assessing a tropical island’s ecological risk by investigating heavy metal contamination and potential sources. The results revealed elevated cadmium and nickel concentrations in 0.44–1.31% of soil samples, particularly in coastal plains and developed areas. Using the absolute principal component score-multiple linear regression (APCS-MLR) model assisted by GIS mapping, we identified three contamination sources: geological factors, agricultural activities, and traffic emissions. Network analysis indicated direct exposure risks of vegetation and soil microorganisms to contaminated soil (0.4611 and 0.7687, respectively), with nickel posing the highest risk, followed by Zn, Cd, Pb, Cu, and Cr with risks transferring across trophic levels. These findings provide crucial insights for mitigating ecological risks associated with heavy metals by controlling priority pollutants and their sources in tropical island environments. Full article
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<p>Location of Hainan Island and spatial distributions of sampling sites.</p>
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<p>The spatial distribution of single pollution levels and integrated pollution levels in the paddy soils. (<b>a</b>) Cd pollution levels; (<b>b</b>) Pb pollution levels; (<b>c</b>) Cr pollution levels; (<b>d</b>) Ni pollution levels; (<b>e</b>) Cu pollution levels; (<b>f</b>) Zn pollution levels; (<b>g</b>) integrated pollution levels.</p>
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<p>Correlation of studied elements in paddy soils of Hainan Island. (Note: “*” represents significance at a significance level of 5%; “**” represents significance at a significance level of 1%; and “***” represents significance at a significance level of 0.1%.)</p>
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<p>(<b>a</b>) Potential ecological risk index (PERI) and (<b>b</b>) linear regression between the integrated risk index (IRI) and the mean effect range quotient (MERMQ).</p>
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<p>(<b>a</b>) Initial risk (<span class="html-italic">R<sub>i</sub></span>) posed from heavy metals in paddy soils of Hainan Island to vegetation; (<b>b</b>) Initial risk (<span class="html-italic">R<sub>i</sub></span>) from the heavy metals in paddy soils to soil microorganisms; (<b>c</b>) Linear regression between the initial risk (<span class="html-italic">R<sub>i</sub></span>) on vegetation and mean effect range median (MERMQ); (<b>d</b>) Linear regression between initial risk (<span class="html-italic">R<sub>i</sub></span>) on soil microorganisms and mean effect range median (MERMQ).</p>
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<p>The direct and indirect risk flow diagraph from six heavy metals in paddy soils of the study area. (Note: Blue “represents” “vegetation”, abbreviated as “V”; Yellow “represents” “herbivores” and is abbreviated as “H”; Green “represents” “carnivores”, abbreviated as “C”; Orange “represents” “soil microorganisms”, abbreviated as “SM”).</p>
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11 pages, 11233 KiB  
Article
Enhancing High-Alloy Steel Cutting with Abrasive Water Injection Jet (AWIJ) Technology: An Approach Using the Response Surface Methodology (RSM)
by Andrzej Perec, Elzbieta Kawecka and Frank Pude
Materials 2024, 17(16), 4020; https://doi.org/10.3390/ma17164020 - 13 Aug 2024
Viewed by 252
Abstract
The common machining technologies for difficult-to-machine materials do not remarkably ensure acceptable efficiency and precision in bulk materials cutting. High-energy abrasive water injection jet (AWIJ) treatment can cut diverse materials, even multi-layer composites characterized by divergent properties, accurately cutting complex profiles and carrying [...] Read more.
The common machining technologies for difficult-to-machine materials do not remarkably ensure acceptable efficiency and precision in bulk materials cutting. High-energy abrasive water injection jet (AWIJ) treatment can cut diverse materials, even multi-layer composites characterized by divergent properties, accurately cutting complex profiles and carrying them out in special circumstances, such as underwater locations or explosion hazard areas. This work reports research on the AWIJ machining quality performance of X22CrMoV12-1 high-alloy steel. The response surface method (RSM) was utilized in modeling. The most influencing process control parameters on cut kerf surface roughness—abrasive flow rate, pressure, and traverse speed—were tested. The result is a mathematical model of the process in the form of a three-variable polynomial. The key control parameter affecting the cut slot roughness turned out to be the traverse speed. In contrast, pressure has a less significant effect, and the abrasive mass flow rate has the slightest impact on the cut slot roughness. Under the optimal conditions determined as a result of the tests, the roughness of the intersection surface Sq does not exceed 2.3 μm. Based on the ANOVA, we confirmed that the model fits over 96% appropriately with the research outcomes. This method reduces the computations and sharply determines the optimum set of control parameters. Full article
(This article belongs to the Special Issue Advances in Metal Cutting, Casting, Forming and Heat Treatment)
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<p>J80A garnet: (<b>a</b>) grain SEM image, (<b>b</b>) light microscope image, (<b>c</b>) particle distribution.</p>
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<p>Measurements and observation areas on (<b>a</b>) optical microscope, (<b>b</b>) SEM microscope.</p>
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<p>Illustration of the <span class="html-italic">Sq</span> surface roughness factor.</p>
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<p>Impact of control factors on <span class="html-italic">Sq</span> surface roughness: (<b>a</b>) traverse speed 50 mm/min, (<b>b</b>) traverse speed 150 mm/min, (<b>c</b>) traverse speed 250 mm/min, (<b>d</b>) pressure 360 MPa, (<b>e</b>) pressure 380 MPa, (<b>f</b>) pressure 400 MPa, (<b>g</b>) abrasive flow 250 g/min, (<b>h</b>) abrasive flow 350 g/min, (<b>i</b>) abrasive flow 450 g/min.</p>
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<p>Scattering graph of the modeled and measured <span class="html-italic">Sq</span> surface roughness.</p>
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<p>Example view of cut surface roughness of high-alloy steel: (<b>a</b>) top area I, (<b>b</b>) middle area II, (<b>c</b>) bottom area III.</p>
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15 pages, 4910 KiB  
Article
Mechanism of Mitochondrial Kinetic Imbalance and Nrf2 Signaling Pathway-Mediated Oxidative Stress in Nickel and/or Chromium-Induced Kidney Injury in Mice
by Jun Du, Zhengqing Li, Xianhong Cao, Qiurong Qi, Luqi Wang, Ping Liu, Yifei Chen, Guoliang Hu, Xiaoquan Guo and Xiaona Gao
Antioxidants 2024, 13(8), 980; https://doi.org/10.3390/antiox13080980 - 13 Aug 2024
Viewed by 216
Abstract
Nickel and chromium are both common heavy metals that pose serious environmental and health hazards. However, the exact mechanism by which nickel and/or chromium cause renal injury is unclear. Therefore, we explored the molecular mechanisms of renal injury caused by nickel and/or chromium [...] Read more.
Nickel and chromium are both common heavy metals that pose serious environmental and health hazards. However, the exact mechanism by which nickel and/or chromium cause renal injury is unclear. Therefore, we explored the molecular mechanisms of renal injury caused by nickel and/or chromium poisoning from the perspective of mitochondrial dynamics and the Nrf2 antioxidant pathway. In this study, eighty 6-week-old C57BL/6J mice were randomly divided into four groups: control (Con, untreated), nickel (Ni, 110 mg/L Ni2+), chromium (Cr, 50 mg/L Cr6+), and combined nickel–chromium (Ni + Cr, 110 mg/L Ni2+, 50 mg/L Cr6+). The results showed that chronic nickel and/or chromium exposure inhibited body weight gain and impaired kidney function and structure in mice. Chronic nickel and/or chromium exposure led to the disruption of mitochondrial dynamics and thus induced oxidative stress. On the other hand, the Nrf2 antioxidant pathway may play an important regulatory role in mitigating oxidative stress-induced oxidative damage in kidney. The present study partially elucidated the molecular mechanism of renal injury induced by nickel and/or chromium exposure in mice and the regulatory role of the Nrf2 pathway in inducing oxidative injury from the perspective of mitochondrial dynamics. This provides a theoretical basis for the development of prevention and control strategies, and environmental protection measures. Full article
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<p>(<b>a</b>) Change in body weight growth rate. (<b>b</b>) Change in renal coefficient. (<b>c</b>) Change in serum CRE concentration. (<b>d</b>) Change in serum BUN concentration. Note: the symbol “*” indicates significant differences compared to the control group (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01); the symbol “<sup>#</sup>” indicates significant differences between the corresponding experimental groups (<sup>##</sup> <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Histology of nickel–chromium on kidney pathology in mice (scale bar: 20 μm). Note: black arrows show glomeruli; red arrows show the narrowing of the lumen of the renal capsule; green arrows show degeneration, necrosis, and shedding of epithelial cells in the lumen of the renal tubule; blue triangles show the shedding of cells and cellular debris in the collecting ducts.</p>
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<p>Effects of nickel–chromium on mice kidney tissue ultrastructure. Note: red arrows show nuclear membrane crumpling; yellow arrows show chromatin condensation; green arrows show mitochondrial swelling and distortion of morphology; purple arrows show fusion of peduncle protrusions with curved and swollen morphology. The red dashed box is a partial zoom.</p>
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<p>Effects of nickel–chromium on oxidative and antioxidant indices in mice. (<b>a</b>) Levels of MDA. (<b>b</b>) Activity of CAT. (<b>c</b>) Levels of T-AOC. Note: the symbol “*” indicates significant differences compared to the control group (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01); the symbol “<sup>#</sup>” indicates significant differences between the corresponding experimental groups (<sup>#</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Effects of nickel-chromium on genes and proteins related to mitochondrial dynamics in mice. (<b>a</b>) Relative mRNA levels of Drp1, Mfn2, Sirt1, PGC-1α and OPA1. (<b>b</b>) Representative western blot images of Drp1, Mfn2, Sirt1, PGC-1α and OPA1. (<b>c</b>) Relative protein levels of Drp1, Mfn2, Sirt1, PGC-1α and OPA1. Note: The symbol “*” indicates significant differences compared to the control group (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01). The symbol “<sup>#</sup>” indicates significant differences between the corresponding experimental groups (<sup>#</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01).</p>
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<p>Effects of nickel–chromium on genes and proteins related to Nrf2 pathway in mice. (<b>a</b>) Relative mRNA levels of Keap1, Nrf2, HO-1 and NQO1. (<b>b</b>) Representative Western blot images of Keap1, Nrf2, HO-1 and NQO1. (<b>c</b>) Relative protein levels of Keap1, Nrf2, HO-1 and NQO1. Note: the symbol “*” indicates significant differences compared to the control group (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01); the symbol “<sup>#</sup>” indicates significant differences between the corresponding experimental groups (<sup>#</sup> <span class="html-italic">p</span> &lt; 0.05, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01).</p>
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16 pages, 5238 KiB  
Article
Personalizing Human–Robot Workplace Parameters in Human-Centered Manufacturing
by Robert Ojsteršek, Borut Buchmeister and Aljaž Javernik
Machines 2024, 12(8), 546; https://doi.org/10.3390/machines12080546 - 11 Aug 2024
Viewed by 257
Abstract
This study investigates the relationship between collaborative robot (CR) parameters and worker utilization and system performance in human–robot collaboration (HRC) environments. We investigated whether optimized parameters increase workplace efficiency and whether adapting these parameters to the individual worker improves workplace outcomes. Three experimental [...] Read more.
This study investigates the relationship between collaborative robot (CR) parameters and worker utilization and system performance in human–robot collaboration (HRC) environments. We investigated whether optimized parameters increase workplace efficiency and whether adapting these parameters to the individual worker improves workplace outcomes. Three experimental scenarios with different CR parameters were analyzed in terms of the setup time, assembly time, finished products, work in process, and worker utilization. The main results show that personalized CR parameters significantly improve efficiency and productivity. The scenario in which CR parameters were tailored to individual workers, balanced the workload, and minimized worker stress, resulting in higher productivity compared to non-people-centric settings. The study shows that personalization reduces cognitive and physical stress, promotes worker well-being, and is consistent with the principles of human-centered manufacturing. Overall, our research supports the adoption of personalized, collaborative workplace parameters, supported by the mathematical model, to optimize employee efficiency and health, contributing to human-centered and efficient HRC environments. Full article
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<p>Evaluated HRC workplace.</p>
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<p>Experiment phases structure.</p>
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<p>Data evaluation in Kubios HRV software.</p>
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<p>FESTO CP LAB 400 layout and workplaces description.</p>
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<p>Assembly time evaluation results.</p>
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<p>Finished products and worker utilization results.</p>
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<p>Stress index results.</p>
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<p>Workplace utilization results.</p>
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<p>Simulation model and presentation of waiting queues for different scenarios.</p>
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<p>Finished and WIP products results.</p>
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<p>Order flow time results.</p>
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16 pages, 7650 KiB  
Article
Effect of High-Tenacity Polypropylene Fibers on the Carbonation Resistance of Expanded Polystyrene Concrete
by Shifang Wang, Shangquan Xu, Yong Han, Weiqi Dong, Zhicheng Zhang, Kaisheng Yu, Wei Lin, Ji Yuan, Haijie He, Hongjian Lin, Wen Xu and Zhiyuan Ren
Buildings 2024, 14(8), 2480; https://doi.org/10.3390/buildings14082480 - 11 Aug 2024
Viewed by 285
Abstract
Expanded polystyrene concrete (EPSC) is increasingly utilized in buildings as a green building material. To investigate the effect of high-tenacity polypropylene (HTPP) fibers on the carbonation resistance (CR) of EPSC, five groups of EPSC specimens with HTPP fiber volume fractions of 0%, 0.6%, [...] Read more.
Expanded polystyrene concrete (EPSC) is increasingly utilized in buildings as a green building material. To investigate the effect of high-tenacity polypropylene (HTPP) fibers on the carbonation resistance (CR) of EPSC, five groups of EPSC specimens with HTPP fiber volume fractions of 0%, 0.6%, 0.9%, 1.2%, and 1.5% were prepared. Rapid carbonation tests were conducted to measure the carbonation depth (CD) and uniaxial compression strength (UCS) of the specimens at different carbonation ages (3, 7, 14, and 28 days). The CD and UCS of the specimens were calculated and analyzed. The results indicated that the HTPP fibers dramatically improved the CR of EPSC, with a decrease in the CD of up to 29.5% at 28 days. A model for predicting the CD of EPSC was developed. The model for the strength after carbonation also showed good agreement with the experimental results. Scanning electron microscopy (SEM) was used to examine the microstructure of the HTPP-reinforced EPSC, while the mechanism of HTPP fibers to enhance the CR of EPSC was elucidated. The findings of this study provide valuable insights for the application of EPSC as a structural material. Full article
(This article belongs to the Section Building Materials, and Repair & Renovation)
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<p>EPS particles.</p>
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<p>HTPP fibers.</p>
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<p>Preparation of EPSC specimens.</p>
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<p>Carbonation of group EP00: (<b>a</b>) 3 days; (<b>b</b>) 7 days; (<b>c</b>) 14 days; (<b>d</b>) 28 days.</p>
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<p>Carbonation of group EP06: (<b>a</b>) 3 days; (<b>b</b>) 7 days; (<b>c</b>) 14 days; (<b>d</b>) 28 days.</p>
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<p>Carbonation of group EP09: (<b>a</b>) 3 days; (<b>b</b>) 7 days; (<b>c</b>) 14 days; (<b>d</b>) 28 days.</p>
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<p>Carbonation of group EP12: (<b>a</b>) 3 days; (<b>b</b>) 7 days; (<b>c</b>) 14 days; (<b>d</b>) 28 days.</p>
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<p>Carbonation of group EP15: (<b>a</b>) 3 days; (<b>b</b>) 7 days; (<b>c</b>) 14 days; (<b>d</b>) 28 days.</p>
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<p>Comparison of CDs.</p>
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<p>The 28-day UCS.</p>
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<p>Strength at various carbonation ages.</p>
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<p>Relative strength versus carbonation age.</p>
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<p>Fitted curves of relative strength. (<b>a</b>) EP00, (<b>b</b>) EP06, (<b>c</b>) EP09, (<b>d</b>) EP12, (<b>e</b>) EP15.</p>
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<p>Fitted curves of relative strength. (<b>a</b>) EP00, (<b>b</b>) EP06, (<b>c</b>) EP09, (<b>d</b>) EP12, (<b>e</b>) EP15.</p>
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<p>CD versus carbonation age. (<b>a</b>) EP00, (<b>b</b>) EP06, (<b>c</b>) EP09, (<b>d</b>) EP12, (<b>e</b>) EP15.</p>
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<p>CD versus carbonation age. (<b>a</b>) EP00, (<b>b</b>) EP06, (<b>c</b>) EP09, (<b>d</b>) EP12, (<b>e</b>) EP15.</p>
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<p>SEM images of specimen internal structure. (<b>a</b>) EP00 (300×), (<b>b</b>) EP00 (90×), (<b>c</b>) EP12 (30×), (<b>d</b>) EP12 (90×), (<b>e</b>) EP12 (90×), (<b>f</b>) EP12 (900×).</p>
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<p>SEM images of specimen internal structure. (<b>a</b>) EP00 (300×), (<b>b</b>) EP00 (90×), (<b>c</b>) EP12 (30×), (<b>d</b>) EP12 (90×), (<b>e</b>) EP12 (90×), (<b>f</b>) EP12 (900×).</p>
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<p>Relationship between carbonation service life of EPSC components and fiber content.</p>
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15 pages, 3529 KiB  
Article
Early Stages of Crack Nucleation Mechanism in Fe39Mn20Co20Cr15Si5Al1 High-Entropy Alloy during Stress Corrosion Cracking Phenomenon: Pit Initiation and Growth
by Pranshul Varshney and Nilesh Kumar
Crystals 2024, 14(8), 719; https://doi.org/10.3390/cryst14080719 - 11 Aug 2024
Viewed by 279
Abstract
This study investigated the susceptible sites for pit nucleation in a transformation-induced plasticity (TRIP) Fe39Mn20Co20Cr15Si5Al1 (at.%) high-entropy alloy (HEA) in 3.5 wt.% NaCl solution. The investigation involved a constant-load stress corrosion cracking [...] Read more.
This study investigated the susceptible sites for pit nucleation in a transformation-induced plasticity (TRIP) Fe39Mn20Co20Cr15Si5Al1 (at.%) high-entropy alloy (HEA) in 3.5 wt.% NaCl solution. The investigation involved a constant-load stress corrosion cracking (SCC) experiment. The SCC testing was interrupted at different pre-determined time intervals to characterize the specimen surface using a scanning electron microscope (SEM), electron backscattered diffraction (EBSD), and a three-dimensional optical stereomicroscope. The EBSD results revealed pit nucleation at the susceptible γ–ε interphase and ε–ε interlath/plate boundaries. The three-dimensional profile and SEM results indicated an increase in pit depth with no change in pit diameter on the surface of the specimen as the experiment progressed over time. This study highlights the importance of microstructural features and mechanical loading in the corrosion behavior of TRIP HEAs, providing insights into the mechanisms of pit nucleation and growth under aggressive environmental conditions. Full article
(This article belongs to the Special Issue Preparation and Applications of High-Entropy Materials)
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<p>(<b>a</b>) Computer-aided design (CAD) model of the flat dog-bone-shaped tensile specimen, (<b>b</b>) machined tensile specimen wrapped in chemical-resistant tape exposing only the area of interest in the gauge section during the test; (<b>c</b>) the constant load testing instrument (creep machine), which consists of an electrochemical setup mounted on the lower crosshead; and (<b>d</b>) a digitally magnified view of the electrochemical setup showing the different electrodes used during the test.</p>
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<p>EBSD results of the Fe<sub>39</sub>Mn<sub>20</sub>Co<sub>20</sub>Cr<sub>15</sub>Si<sub>5</sub>Al<sub>1</sub> HEA: (<b>a</b>) an inverse pole figure (IPF) map with high-angle grain boundaries (HAGBs) (&gt;15°) lines overlaid, (<b>b</b>) a phase map where green and red represent HCP and FCC phases, respectively, (<b>c</b>) a misorientation angle distribution (MAD) plot considering both phases together, (<b>d</b>) an MAD plot for the γ austenite phase, and (<b>e</b>) an MAD plot for the ε martensite phase.</p>
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<p>An engineering stress vs. engineering strain plot for the Fe<sub>39</sub>Mn<sub>20</sub>Co<sub>20</sub>Cr<sub>15</sub>Si<sub>5</sub>Al<sub>1</sub> (at.%) HEA when tested at 10<sup>−6</sup> s<sup>−1</sup> in an air environment, highlighting the yield strength and the stress used for applying a constant load to study pit nucleation and growth.</p>
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<p>SEM micrographs showing pits formation (black circled) on the specimen surface at different times (t), during the interrupted constant load experiment, performed on the flat dog-bone-shaped tensile specimen (Fe<sub>39</sub>Mn<sub>20</sub>Co<sub>20</sub>Cr<sub>15</sub>Si<sub>5</sub>Al<sub>1</sub> (at.%) HEA). The time shown in the figure is the cumulative time.</p>
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<p>High-magnification SEM micrographs of some of the pits which were nucleated at (<b>a</b>) t = 1.5 h, (<b>b</b>) t = 20 h, (<b>c</b>) t = 40 h, and (<b>d</b>) t = 98 h during the interrupted constant load tensile test on the Fe<sub>39</sub>Mn<sub>20</sub>Co<sub>20</sub>Cr<sub>15</sub>Si<sub>5</sub>Al<sub>1</sub> (at.%) HEA specimen. The time mentioned here is the cumulative time.</p>
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<p>Plot of pit area fraction (%) vs. Time (h) for the pits shown in <a href="#crystals-14-00719-f005" class="html-fig">Figure 5</a>a,b. Positions 1 and 3 show the time the pits nucleated, while positions 2 and 4 show the end time of the constant load experiment. The SEM micrographs corresponding to the labeled numbers on the plot are shown on the top and right sides of the plot.</p>
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<p>Plot of pit depth (µm) vs. Time (h) for the pits shown in <a href="#crystals-14-00719-f005" class="html-fig">Figure 5</a>a,b. Positions 1 and 3 show the time the pits nucleated, while positions 2 and 4 show the end time of the constant load experiment. The 3-dimensional profile micrographs corresponding to the labeled numbers on the plot are labeled and shown on the top and right sides of the plot.</p>
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<p>(<b>a</b>,<b>d</b>) Phase maps across the pits shown in <a href="#crystals-14-00719-f005" class="html-fig">Figure 5</a>a,b, overlaid with (&gt;15°); (<b>b</b>,<b>e</b>) magnified view of the highlighted rectangles in (<b>a</b>,<b>d</b>) that consists of misorientation lines drawn on the maps; and (<b>c</b>,<b>f</b>) misorientation angle (°) vs. distance (µm) plots showing the point-to-point variation along the line drawn across the phase maps shown in (<b>b</b>,<b>e</b>), respectively. Numbers marked on the plot show the interface position through which the line passes.</p>
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17 pages, 13049 KiB  
Article
Effect of Trace Elements on the Thermal Stability and Electrical Conductivity of Pure Copper
by Haitao Liu, Jincan Dong, Shijun Liang, Weiqiang Li and Yong Liu
Coatings 2024, 14(8), 1017; https://doi.org/10.3390/coatings14081017 - 10 Aug 2024
Viewed by 336
Abstract
Abstract: The impact of introducing trace transition elements on the thermal stability and conductivity of pure copper was examined through metallographic microscopy (OM), transmission electron microscopy (TEM), and electrical conductivity measurements; the interaction between trace transition element and trace impurity element S in [...] Read more.
Abstract: The impact of introducing trace transition elements on the thermal stability and conductivity of pure copper was examined through metallographic microscopy (OM), transmission electron microscopy (TEM), and electrical conductivity measurements; the interaction between trace transition element and trace impurity element S in the matrix was analyzed. The results show that the addition of trace Ti and trace Cr, Ni, and Ag elements significantly enhances the thermal stability of the pure copper grain size. After high-temperature treatment at 900 °C/30 min, the grain sizes of Cu, Cu-Ti-S, and Cu-Cr-Ni-Ag-S were measured and found to be 200.24 μm, 83.83 μm, and 31.08 μm, respectively, thus establishing a thermal stability ranking of Cu-Cr-Ni-Ag-S > Cu-Ti-S > Cu. Furthermore, the conductivities of pure copper remain high even after the addition of trace transition elements, with recorded values for Cu, Cu-Ti-S, and Cu-Cr-Ni-Ag-S of 100.7% IACS, 100.2% IACS, and 98.5% IACS, respectively. The enhancement of thermal stability is primarily attributed to the pinning effect of the TiS and CrS phases, as well as the solid solution dragging of Ni and Ag elements. Trace Ti and Cr elements can react with S impurities to form a hexagonal-structure TiS phase and monoclinic-structure CrS phase, which are non-coherent with the matrix. Notably, the CrS phase is smaller than the TiS phase. In addition, the precipitation of these compounds also reduces the scattering of free electrons by solute atoms, thereby minimizing their impact on the alloy’s conductivity. Full article
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<p>Experimental process.</p>
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<p>Effect of trace elements on the cold-rolled conductivity of 4N pure copper.</p>
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<p>Effect of trace transition group elements on the conductivity of pure copper at different temperatures.</p>
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<p>Optical micrographs of pure copper with trace element 4N added in a cold-rolled state: (<b>a</b>) optical micrograph of 4Ncu; (<b>b</b>) 4N Cu-Ti-S optical micrograph; and (<b>c</b>) 4N Cu-Cr-Ni-Ag-S optical micrograph.</p>
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<p>Optical micrograph and average grain size of 4N pure copper with different trace elements added after high-temperature treatment in a cold-rolled state: (<b>a</b>) 4Ncu optical micrograph; (<b>b</b>) 4N Cu-Ti-S optical micrographs; (<b>c</b>) 4N Cu-Cr-Ni-Ag-S optical micrograph; and (<b>d</b>) average grain size.</p>
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<p>Recrystallization temperature curves of 4N pure copper with different trace elements added.</p>
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<p>Optical micrographs of 4N Cu pure copper at different annealing temperatures: (<b>a</b>) optical micrograph at 30 °C/1 h; (<b>b</b>) optical micrograph at 160 °C/1 h; (<b>c</b>) optical micrograph at 190 °C/1 h; and (<b>d</b>) optical micrograph at 280 °C/1 h.</p>
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<p>Optical micrographs of 4Ncu-Ti-S at different annealing temperatures: (<b>a</b>) optical micrograph at 30 °C/1 h; (<b>b</b>) optical micrograph at 160 °C/1 h; (<b>c</b>) optical micrograph at 190 °C/1 h; and (<b>d</b>) optical micrograph at 280 °C/1 h.</p>
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<p>Optical micrographs of 4Ncu-Cr-Ni-Ag-S at different annealing temperatures: (<b>a</b>) optical micrograph at 30 °C/1 h; (<b>b</b>) optical micrograph at 160 °C/1 h; (<b>c</b>) optical micrograph at 190 °C/1 h; and (<b>d</b>) optical micrograph at 280 °C/1 h.</p>
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<p>Dislocation and precipitated phase analysis of cold-rolled-state 4N Cu-Ti-S: (<b>a</b>) dislocation wall; (<b>b</b>) dislocation cells; (<b>c</b>) HAADF-STEM images at the grain boundary; and (<b>d</b>) HAADF-STEM images within the grains.</p>
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<p>Precipitated phase analysis of cold-rolled 4N Cu-Ti-S at the grain boundary: (<b>a</b>) BF-TEM image; (<b>b</b>) EDS surface scan of titanium; (<b>c</b>) EDS surface scan of sulfur elements; (<b>d</b>) EDS spot scanning of precipitated phase; (<b>e</b>) SAD image of precipitated phase; and (<b>f</b>) TEM high-resolution morphology of the interface between the TiS phase and Cu matrix.</p>
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<p>Precipitated phase analysis of cold-rolled 4N Cu-Ti-S within the grain boundary: (<b>a</b>) BF-TEM image; (<b>b</b>) EDS surface scan of titanium; (<b>c</b>) EDS surface scan of sulfur elements; (<b>d</b>) EDS spot scanning of precipitated phase; (<b>e</b>) SAD image of precipitated phase; and (<b>f</b>) TEM high-resolution morphology of the interface between the TiS phase and Cu matrix.</p>
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<p>Dislocation and precipitated phase analysis of cold-rolled-state 4N Cu-Cr-Ni-Ag-S: (<b>a</b>) dislocation wall; (<b>b</b>) dislocation cells; (<b>c</b>) HAADF-STEM images at the grain boundary; and (<b>d</b>) HAADF-STEM images within the grain boundary.</p>
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<p>Precipitated phase analysis of cold-rolled 4N Cu-Cr-Ni-Ag-S at the grain boundary: (<b>a</b>) BF-TEM image; (<b>b</b>) EDS surface scan of copper elements; (<b>c</b>) EDS surface scan of chromium elements; (<b>d</b>) EDS surface scan of nickel elements; (<b>e</b>) EDS surface scan of silver elements; (<b>f</b>) EDS surface scan of sulfur elements; (<b>g</b>) EDS spot scanning of precipitated phase; (<b>h</b>) SAD image of precipitated phase; and (<b>i</b>) TEM high-resolution morphology of the interface between the CrS phase and Cu matrix.</p>
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<p>Precipitated phase analysis of cold-rolled 4N Cu-Cr-Ni-Ag-S within the grain boundary: (<b>a</b>) BF-TEM image; (<b>b</b>) EDS surface scan of copper elements; (<b>c</b>) EDS surface scan of chromium elements; (<b>d</b>) EDS surface scan of nickel elements; (<b>e</b>) EDS surface scan of silver elements; (<b>f</b>) EDS surface scan of sulfur elements; (<b>g</b>) EDS spot scanning of precipitated phase; (<b>h</b>) SAD image of precipitated phase; and (<b>i</b>) TEM high-resolution morphology of the interface between the CrS phase and Cu matrix.</p>
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<p>Schematic diagram of the mechanism of action of trace alloying elements on the thermal stability of pure copper.</p>
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13 pages, 1452 KiB  
Systematic Review
Predicting Complete Cytoreduction with Preoperative [18F]FDG PET/CT in Patients with Ovarian Cancer: A Systematic Review and Meta-Analysis
by Csaba Csikos, Péter Czina, Szabolcs Molnár, Anna Rebeka Kovács, Ildikó Garai and Zoárd Tibor Krasznai
Diagnostics 2024, 14(16), 1740; https://doi.org/10.3390/diagnostics14161740 - 10 Aug 2024
Viewed by 239
Abstract
The cornerstone of ovarian cancer treatment is complete surgical cytoreduction. The gold-standard option in the absence of extra-abdominal metastases and intra-abdominal inoperable circumstances is primary cytoreductive surgery (CRS). However, achieving complete cytoreduction is challenging, and only possible in a selected patient population. Preoperative [...] Read more.
The cornerstone of ovarian cancer treatment is complete surgical cytoreduction. The gold-standard option in the absence of extra-abdominal metastases and intra-abdominal inoperable circumstances is primary cytoreductive surgery (CRS). However, achieving complete cytoreduction is challenging, and only possible in a selected patient population. Preoperative imaging modalities such as [18F]FDG PET/CT could be useful in patient selection for cytoreductive surgery. In our systematic review and meta-analysis, we aimed to evaluate the role of preoperative [18F]FDG PET/CT in predicting complete cytoreduction in primary and secondary debulking surgeries. Publications were pooled from two databases (PubMed, Mendeley) with predefined keywords “(ovarian cancer) AND (FDG OR PET) AND (cytoreductive surgery)”. The quality of the included studies was assessed with the Prediction model Risk Of Bias Assessment Tool (PROBAST). During statistical analysis, MetaDiSc 1.4 software and the DerSimonian–Laird method (random effects models) were used. Primary and secondary cytoreductive surgeries were evaluated. Pooled sensitivities, specificities, positive predictive values (PPVs), and negative predictive values (NPVs) were calculated and statistically analyzed. Results were presented in forest plot diagrams and summary receiver operating characteristic (SROC) curves. Overall, eight publications were included in our meta-analysis. Four publications presented results of primary, three presented results of secondary cytoreductions, and two presented data related to both primary and secondary surgery. Pooled sensitivities, specificities, and positive and negative predictive values were the following: in the case of primary surgeries: 0.65 (95% CI 0.60–0.71), 0.73 (95% CI 0.66–0.80), 0.82 (95% CI 0.77–0.87), 0.52 (95% CI 0.46–0.59); and in the case of secondary surgeries: 0.91 (95% CI 0.84–0.95), 0.48 (95% CI 0.30–0.67), 0.88 (95% CI 0.81–0.93), 0.56 (95% CI 0.35–0.75), respectively. The PPVs of [18F]FDG PET/CT proved to be higher in cases of secondary debulking surgeries; therefore, it can be a valuable predictor of complete successful secondary cytoreduction. Full article
(This article belongs to the Special Issue 18F-FDG PET/CT: Current and Future Clinical Applications)
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