[go: up one dir, main page]

 
 
Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (2,833)

Search Parameters:
Keywords = occupancy modeling

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
18 pages, 5110 KiB  
Article
Development of Dust Emission Prediction Model for Open-Pit Mines Based on SHPB Experiment and Image Recognition Method
by Shanzhou Du, Hao Chen, Xiaohua Ding, Zhouquan Liao and Xiang Lu
Atmosphere 2024, 15(9), 1118; https://doi.org/10.3390/atmos15091118 (registering DOI) - 14 Sep 2024
Viewed by 142
Abstract
Open-pit coal mining offers high resource recovery, excellent safety conditions, and large-scale production. However, the process generates significant dust, leading to occupational diseases such as pneumoconiosis among miners and adversely affecting nearby vegetation through dust deposition, which hinders photosynthesis and causes ecological damage. [...] Read more.
Open-pit coal mining offers high resource recovery, excellent safety conditions, and large-scale production. However, the process generates significant dust, leading to occupational diseases such as pneumoconiosis among miners and adversely affecting nearby vegetation through dust deposition, which hinders photosynthesis and causes ecological damage. This limits the transition of open-pit mining to a green, low-carbon model. Among these processes, blasting generates the most dust and has the widest impact range, but the specific amount of dust generated has not yet been thoroughly studied. This study integrates indoor experiments, theoretical analyses, and field tests, employing the Split Hopkinson Pressure Bar (SHPB) system to conduct impact loading tests on coal–rock samples under pressures ranging from 0.13 MPa to 2.0 MPa. The results indicate that as the impact load increases, the proportion of large-sized blocks decreases while smaller fragments and powdered samples increase, signifying intensified sample fragmentation. Using stress wave attenuation theory, this study translates indoor impact loadings to field blast shock waves, revealing the relationship between blasting dust mass fraction and impact pressure. Field tests at the Haerwusu open-pit coal mine validated the formula. Using image recognition technology to analyze post-blast muck-pile fragmentation, the estimated dust production closely matched the calculated values, with an error margin of less than 10%. This formula provides valuable insights for estimating dust production and improving dust control measures during open-pit mine blasting operations. Full article
(This article belongs to the Section Air Pollution Control)
Show Figures

Figure 1

Figure 1
<p>Research flowchart.</p>
Full article ">Figure 2
<p>Partially processed coal and rock samples. Subfigure (<b>a</b>) shows the prepared coal sample. Subfigure (<b>b</b>) shows a prepared rock sample.</p>
Full article ">Figure 3
<p>Test equipment and specimen loading method. Subfigure (<b>a</b>) shows the SHPB experimental system and subfigure (<b>b</b>) shows the specimen loading method.</p>
Full article ">Figure 4
<p>Particle size grading sieve for fragments after impact damage.</p>
Full article ">Figure 5
<p>Characteristics of sieved rock fragments under different pressures.</p>
Full article ">Figure 6
<p>Variation of rock sample particle size distribution and average particle size with impact pressure.</p>
Full article ">Figure 7
<p>Variation of coal sample particle size distribution and average particle size with impact pressure.</p>
Full article ">Figure 8
<p>Relationship between blasting dust mass percentage and impact pressure. Subfigure (<b>a</b>) shows the coal dust mass fraction versus impact air pressure, and subfigure (<b>b</b>) shows the rock dust mass fraction versus impact air pressure.</p>
Full article ">Figure 9
<p>Blast area charging structure and wiring diagram. Subfigure (<b>a</b>) shows the blast area charging structure, and subfigure (<b>b</b>) shows the wiring diagram.</p>
Full article ">Figure 10
<p>Coal seam blasting site.</p>
Full article ">Figure 11
<p>Image recognition characteristics of fragmentation distribution in different areas between holes.</p>
Full article ">Figure 12
<p>Secondary recognition of fragmentation distribution in detailed areas.</p>
Full article ">Figure 13
<p>The Pattern of Change of Block Size Distribution and the Average Size of Coal Block in Coal Rock Blasting.</p>
Full article ">
29 pages, 8268 KiB  
Article
Human Multi-Lineage Liver Organoid Model Reveals Impairment of CYP3A4 Expression upon Repeated Exposure to Graphene Oxide
by Alessio Romaldini, Raffaele Spanò, Marina Veronesi, Benedetto Grimaldi, Tiziano Bandiera and Stefania Sabella
Cells 2024, 13(18), 1542; https://doi.org/10.3390/cells13181542 (registering DOI) - 13 Sep 2024
Viewed by 270
Abstract
Three-dimensional hepatic cell cultures can provide an important advancement in the toxicity assessment of nanomaterials with respect to 2D models. Here, we describe liver organoids (LOs) obtained by assembling multiple cell lineages in a fixed ratio 1:1:0.2. These are upcyte® human hepatocytes, [...] Read more.
Three-dimensional hepatic cell cultures can provide an important advancement in the toxicity assessment of nanomaterials with respect to 2D models. Here, we describe liver organoids (LOs) obtained by assembling multiple cell lineages in a fixed ratio 1:1:0.2. These are upcyte® human hepatocytes, UHHs, upcyte® liver sinusoidal endothelial cells, LSECs, and human bone marrow-derived mesenchymal stromal cells, hbmMSCs. The structural and functional analyses indicated that LOs reached size stability upon ca. 10 days of cultivation (organoid maturation), showing a surface area of approximately 10 mm2 and the hepatic cellular lineages, UHHs and LSECs, arranged to form both primitive biliary networks and sinusoid structures, alike in vivo. LOs did not show signs of cellular apoptosis, senescence, or alteration of hepatocellular functions (e.g., dis-regulation of CYP3A4 or aberrant production of Albumin) for the entire culture period (19 days since organoid maturation). After that, LOs were repeatedly exposed for 19 days to a single or repeated dose of graphene oxide (GO: 2–40 µg/mL). We observed that the treatment did not induce any macroscopic signs of tissue damage, apoptosis activation, and alteration of cell viability. However, in the repeated dose regimen, we observed a down-regulation of CYP3A4 gene expression. Notably, these findings are in line with recent in vivo data, which report a similar impact on CYP3A4 when mice were repeatedly exposed to GO. Taken together, these findings warn of the potential detrimental effects of GO in real-life exposure (e.g., occupational scenario), where its progressive accumulation is likely expected. More in general, this study highlights that LOs formed by many cell lineages can enable repeated exposure regimens (suitable to mimic accumulation); thus, they can be suitably considered alternative or complementary in vitro systems to animal models. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>Self-assembling of three cell lineages (UHHs, LSECs, and hbmMSCs) mixed in a ratio of 1:1:0.2 and size stability of LO over time. (<b>A</b>) Reconstruction of representative images of LO on days 1, 7, 10, 20, and 29 (scale bar = 1000 μm). (<b>B</b>) Two-dimensional projections of surface area of LO at defined time intervals (day 1, 2, 3, 7, 10, 15, 20, 25, and 29) measured by Adobe Photoshop and Fiji (further information in <a href="#sec2-cells-13-01542" class="html-sec">Section 2</a>). For each time point, results are expressed as mean ± SD of eight independent measurements. The symbols ‘****’ and ‘ns’ refer to <span class="html-italic">p</span> &lt; 0.0001 and <span class="html-italic">p</span> &gt; 0.05, respectively (ordinary one-way ANOVA). (<b>C</b>) Cell membrane integrity damage over time by cytotoxicity assay (LDH assay). Results represent mean ± SD of eight independent measurements per time point. The symbols ‘*’ and ‘ns’ refer to <span class="html-italic">p</span> = 0.0342 and <span class="html-italic">p</span> &gt; 0.05, respectively (ordinary one-way ANOVA).</p>
Full article ">Figure 2
<p>Characterization of the energy metabolism during LO culture. (<b>A</b>) Representative PCA performed on the 1D <sup>1</sup>H-NMR spectra (obtained by one of three experimental set-ups used) relative to 3 LO-conditioned media at defined time intervals (day 1, 2, 3, 7, 10, 15, 20, 25, and 29). Comparable results were found running the PCA on 1D <sup>1</sup>H-NMR spectra relative to other two experimental set-ups (not included). (<b>B</b>,<b>C</b>) Consumption of glucose (<b>B</b>) and secretion of lactate (<b>C</b>) by LOs over time, calculated considering the relative basal level found in LOM incubated in cell-free, Matrigel<sup>®</sup>-coated wells under the same culture conditions. For each time point, results are expressed as mean ± SD of eight independent LOs. The symbols ‘*’, ‘**’, ‘****’, and ‘ns’ refer to <span class="html-italic">p</span> = 0.0124, <span class="html-italic">p</span> ≤ 0.0042, <span class="html-italic">p</span> &lt; 0.0001, and <span class="html-italic">p</span> &gt; 0.05, respectively (ordinary one-way ANOVA). (<b>D</b>) Secretion of L-alanine by LOs over time, calculated considering the relative basal level found in LOM incubated in cell-free, Matrigel<sup>®</sup>-coated wells under the same culture conditions. For each time point, results are expressed as mean ± SD of eight independent LOs. The symbols ‘*’, ‘****’, and ‘ns’ refer to <span class="html-italic">p</span> = 0.0137, <span class="html-italic">p</span> &lt; 0.0001, and <span class="html-italic">p</span> &gt; 0.05, respectively (ordinary one-way ANOVA). (<b>E</b>–<b>G</b>) Consumption of L-valine (<b>E</b>), L-leucine (<b>F</b>), and L-isoleucine (<b>G</b>) by LOs over time, calculated considering the relative basal level found in LOM incubated in cell-free, Matrigel<sup>®</sup>-coated wells under the same culture conditions. For each time point, results represent means ± SD of eight independent LOs. The symbols ‘**’, ‘****’, and ‘ns’ refer to <span class="html-italic">p</span> = 0.0051, <span class="html-italic">p</span> &lt; 0.0001, and <span class="html-italic">p</span> &gt; 0.05, respectively (ordinary one-way ANOVA).</p>
Full article ">Figure 3
<p>Apoptosis and cellular senescence within LOs over time. (<b>A</b>) Relative gene expression of PUMA in LOs cultured for 29 days compared to LOs cultured for 10 days, analyzed by qPCR. Results are expressed as mean ± SD of three independent LOs per time point. The symbol ‘ns’ refers to <span class="html-italic">p</span> &gt; 0.05 (unpaired Mann–Whitney U test). (<b>B</b>,<b>C</b>) Cleaved-PARP levels in LOs cultured for 29 days compared to LO, cultured for 10 days, analyzed by Western blot. Densitometry analysis of band intensities relative to cleaved PARP (<b>B</b>) and the corresponding blot relative to three independent LOs per time point, probed with primary antibodies anti-cleaved PARP and anti-GAPDH, are shown (<b>C</b>). GAPDH was used as internal control. Results are expressed as n-fold increase over the mean value relative to day 10. The symbol ‘ns’ refers to <span class="html-italic">p</span> &gt; 0.05 (unpaired Mann–Whitney U test). (<b>D</b>) Quantification of the DNA content isolated from LOs cultured for 10 or 29 days, by spectrophotometry. For each time point, results relative to three independent LOs are reported (means ± SD are also indicated). The symbol ‘ns’ refers to <span class="html-italic">p</span> &gt; 0.05 (unpaired Mann–Whitney U test). (<b>E</b>,<b>F</b>) Histochemical detection of SA-β-gal activity performed on frozen sections of LOs cultured for 10 or 29 days. Quantification of SA-β-gal<sup>+</sup> cells per time point is reported (<b>E</b>). Results expressed as number of positive cells per mm<sup>2</sup> represent mean ± SD relative to at least three independent LOs per time point. The symbol ‘ns’ refers to <span class="html-italic">p</span> &gt; 0.05 (unpaired Mann–Whitney U test). Representative images (left panels: 10×; scale bars = 250 μm) and magnifications of highlighted areas (right panels: 40×; scale bars = 50 μm) are reported (<b>F</b>). White arrows point to SA-β-gal<sup>+</sup> cells. (<b>G</b>) Relative gene expression of CDKN1A in LOs cultured for 29 days compared to LOs cultured for 10 days, analyzed by qPCR. For each time point, results relative to three independent LOs are reported (means ± SD are also indicated). The symbol ‘ns’ refers to <span class="html-italic">p</span> &gt; 0.05 (unpaired Mann–Whitney U test). (<b>H</b>) Cell viability in LOs cultured for 10 or 29 days, by resazurin reduction assay. Results are expressed as percentage values over the mean value relative to day 10 (set as 100%) and represent mean ± SD relative to three independent LOs per time point. The symbol ‘ns’ refers to <span class="html-italic">p</span> &gt; 0.05 (unpaired Mann–Whitney U test).</p>
Full article ">Figure 4
<p>Histological and phenotypic analyses of LOs over time. (<b>A</b>,<b>B</b>) H&amp;E staining performed on frozen sections of LOs cultured for 10 (<b>A</b>) or 29 (<b>B</b>) days. Representative images (left panels: 10×; scale bars = 250 μm) and magnifications of highlighted areas (right panels: 20×; scale bars = 250 μm) are reported. Symbols ‘+’ and ‘*’ indicate clusters of elongated and cuboidal cells, respectively. (<b>C</b>–<b>F</b>) Immunofluorescence staining for the detection of MRP2 (green; <b>C</b>,<b>D</b>) and CD31 (red; <b>E</b>,<b>F</b>) in frozen sections of LOs cultured for 10 (<b>C</b>,<b>E</b>) or 29 (<b>D</b>,<b>F</b>) days. Representative images (left panels: 10×; scale bars = 500 μm) and magnifications of highlighted areas (right panels: 60×; scale bars = 50 μm) are reported. Nuclei are stained by Hoechst 33,342 (blue). White arrows point to intercellular MRP2<sup>+</sup> (<b>C</b>,<b>D</b>) or tube-like CD31<sup>+</sup> structures (<b>E</b>,<b>F</b>).</p>
Full article ">Figure 5
<p>Functional stability of LOs over time. (<b>A</b>) Relative gene expression of some hepatocyte-specific markers and six endogenous control genes in LOs cultured for 29 days compared to LOs cultured for 10 days, analyzed by qPCR. Results are expressed as mean ± SD of three independent LOs per time point. The symbols ‘***’ and ‘****’ refer to <span class="html-italic">p</span> = 0.0001 and <span class="html-italic">p</span> &lt; 0.0001, respectively (two-way ANOVA). (<b>B</b>) CYP3A4 and Albumin protein levels in LOs cultured for 29 days compared to day 10, analyzed by Western blot. For each marker, the blot relative to three independent LOs per time point probed with specific primary antibodies (lower panels) and densitometric analyses of band intensities (upper panels) are reported. GAPDH was used as internal control. Results are expressed as n-fold increase over the mean value relative to day 10. The symbol ‘ns’ refers to <span class="html-italic">p</span> &gt; 0.05 (unpaired Mann–Whitney U test). (<b>C</b>) BFC-metabolizing activity of CYP3A4 in LOs cultured for 29 days compared to day 10. Results are expressed as mean ± SD of three independent LOs per time point. The symbol ‘ns’ refers to <span class="html-italic">p</span> &gt; 0.05 (unpaired Mann–Whitney U test). (<b>D</b>) Albumin secretion by LOs cultured for 29 days compared to day 10. Results are expressed as mean ± SD of three independent LOs per time point. The symbol ‘ns’ refers to <span class="html-italic">p</span> &gt; 0.05 (unpaired Mann–Whitney U test).</p>
Full article ">Figure 6
<p>Single and repeated LO exposure to GO. (<b>A</b>) Experimental schematic used for the treatment of LOs with GO. After LO maturation (first 10 days of culture), LOs were treated for 1 or 19 days using single or repeated daily doses (i.e., 40 μg/mL GO every 24 h). (<b>B</b>) Size distribution profiles of 40 μg/mL GO in LOM for 0 (green curve) and 24 h (orange curve) at 37 °C, by DLS analysis. (<b>C</b>) Dimensional shift of GO peak position over time by consecutive DLS measurements (up to 24 h), showing changes in GO mean size. “DH” means the hydrodynamic diameter of particles measured by DLS analysis. (<b>D</b>,<b>E</b>) Visualization of GO aggregate/deposit penetration carried out on frozen sections of LOs treated with 40 μg/mL GO for 1 (<b>D</b>) or 29 (<b>E</b>) days, by conventional brightfield optics. Representative images (left panels: 20×; scale bars = 200 μm) and magnifications of highlighted areas (right panels: 40×; scale bars = 100 μm) are reported. Nuclei and F-actin cytoskeleton are stained by Hoechst 33,342 (blue) and phalloidin (green), respectively. White arrows point to GO aggregates (black). (<b>F</b>,<b>G</b>) H&amp;E staining performed on frozen sections of LOs treated with 40 μg/mL GO for 1 (<b>F</b>) or 29 (<b>G</b>) days. Representative images (left panels: 10×; scale bars = 250 μm) and magnifications of highlighted areas (right panels: 20×; scale bars = 250 μm) are reported.</p>
Full article ">Figure 7
<p>Cytotoxicity in LOs upon single and repeated GO exposure. (<b>A</b>,<b>B</b>) Immunofluorescence staining for the detection of cleaved caspase-3 (red) in frozen sections of LOs treated or not with 40 μg/mL GO for 1 (<b>A</b>) and 19 (<b>B</b>) days. “CTRL” refers to un-treated control LOs. Representative images (left panels: 10×; scale bars = 250 μm) and magnifications of highlighted areas (right panels: 60×; scale bars = 50 μm) are reported. Nuclei and F-actin cytoskeleton are stained by Hoechst 33,342 (blue) and Phalloidin (green), respectively. (<b>C</b>,<b>E</b>) Cleaved-PARP levels in LOs treated or not with 2–40 μg/mL GO for 1 (<b>C</b>) and 19 (<b>E</b>) days, analyzed by Western blot. Densitometry analysis of band intensities relative to two or more independent LOs per experimental condition (upper panels) and representative blots (lower panels) are reported. GAPDH was used as internal control. Results are expressed as n-fold increase over the mean value relative to CTRL and represent means ± SD. (<b>D</b>,<b>F</b>) Cell viability in LOs treated or not with 2–40 μg/mL GO for 1 (<b>D</b>) and 19 (<b>F</b>) days, by resazurin reduction assay. Results are expressed as percentage values over the mean value relative to CTRL (set as 100%) and represent mean ± SD relative to two or more independent LOs per experimental condition.</p>
Full article ">Figure 8
<p>Hepatocyte-specific response of LOs upon single and repeated GO exposure. (<b>A</b>,<b>B</b>) Relative gene expression of CYP3A4 and Albumin, along with six endogenous control genes, in LOs cultured for 10 days and treated with 2–40 μg/mL GO for 1 (<b>A</b>) and 19 (<b>B</b>) days, analyzed by qPCR. Results are expressed as mean ± SD of two or more independent LOs per experimental condition. The symbols ‘**’ and ‘***’ refer to <span class="html-italic">p</span> ≤ 0.0026 and <span class="html-italic">p</span> = 0.0005, respectively (two-way ANOVA).</p>
Full article ">
22 pages, 15255 KiB  
Article
Permanent Human Occupation of the Western Tibetan Plateau in the Early Holocene
by Hongliang Lu and Ziyan Li
Land 2024, 13(9), 1484; https://doi.org/10.3390/land13091484 - 13 Sep 2024
Viewed by 181
Abstract
Archaeological investigations worldwide have focused on when and how humans permanently settled in high-altitude environments. Recent evidence from Xiada Co, Qusongguo, and Dingzhonghuzhuzi in western Tibet, where lithic artifacts and radiocarbon dates with original deposits were first accessed, provides new insights into human [...] Read more.
Archaeological investigations worldwide have focused on when and how humans permanently settled in high-altitude environments. Recent evidence from Xiada Co, Qusongguo, and Dingzhonghuzhuzi in western Tibet, where lithic artifacts and radiocarbon dates with original deposits were first accessed, provides new insights into human activities in this extreme environment during the early Holocene. This paper examines the mobility and land-use patterns of foragers in western Tibet from the perspectives of lithic analysis. Assemblages from three sites suggest homogenous technologies and raw material use, as well as potential interaction network of hunter-gatherers within the plateau during the early Holocene. It further argues that the material exponents and travel cost models of site location supported permanent occupation of the western Tibetan Plateau in this period. Full article
Show Figures

Figure 1

Figure 1
<p>Map of the research area and sites mentioned in the text. (<b>a</b>) Location of archaeological sites on the Tibetan Plateau and in its adjacent areas:1. Xiada Co (4350masl); 2. Dingzhonghuzhuzi (4285 masl); 3. Qusongguo (4305 masl); 4. Nwya Devu (4600 masl); 5. Chusang (4230 masl); 6. Tshem gzhung kha thog (4100 masl); 7. Jiangxigou 1&amp;2, 93-13 (3330 masl); 8. 151 (3397 masl); 9. Heimahe 1 (3202 masl), Heimahe 3 (3210 masl); 10. Layihai (2600 masl); 11. Baishiya (3280 masl); 12. Oshhona (4100 masl).13. General location of Beshkent, Javan, Mullo-Nijaz, Makoni-Mor; 14. Dzamathang (3101 masl); (<b>b</b>) Locations of the three archaeological sites studied in this paper.</p>
Full article ">Figure 2
<p>Calibrated dates for each site. The date of <sup>14</sup>C samples was calibrated using OxCal 4.4 [<a href="#B22-land-13-01484" class="html-bibr">22</a>] and the Intcal2020 curve [<a href="#B23-land-13-01484" class="html-bibr">23</a>].</p>
Full article ">Figure 3
<p>(<b>a</b>) The landscape of Xiada Co. The arrow indicates the test pit location, and the dashed line outlines the surface collection area. (<b>b</b>) Stratigraphy of the test pit at Xiada Co site.</p>
Full article ">Figure 4
<p>(<b>a</b>) The landscape of Qusongguo. The arrow indicates the test pit location, and the dashed line outlines the surface collection area. (<b>b</b>) The test pit and the feature of near-circular concentration of cobbles (hearth) at Qusongguo site. (<b>c</b>) Stratigraphy of the test pit.</p>
Full article ">Figure 5
<p>The landscape of Dingzhonghuzhuzi.</p>
Full article ">Figure 6
<p>Plot of length and width of complete flakes from the three sites.</p>
Full article ">Figure 7
<p>Xiada Co: examples of core-flake assemblage. (1, 3) Double-platform cores; (2) single-platform cores; (4–6) complete flakes. Nos. 1 and 4 were excavated from the test pit.</p>
Full article ">Figure 8
<p>Xiada Co: examples of microblade assemblage. (1) Preform of boat-shaped microblade core; (2–4) wedge-shaped microblade cores; (5) overpassed flake; (6–13) microblades. Nos. 9–13 were excavated from the test pit.</p>
Full article ">Figure 9
<p>Xiada Co: examples of retouched pieces. (1, 2) Endscrapers made on thick flakes with steep retouching; (3, 4) circular endscrapers; (5) single-edged sidescraper; (6) convergent sidescraper; (7) notched piece; (8) bifacial piece. No. 1 was excavated from the test pit. Arrows indicate striking directions and the presence/absence of platforms, same below.</p>
Full article ">Figure 10
<p>Qusongguo: examples of the core-flake assemblage. (1, 2) Multi-platform cores; (3) single-platform core; (4) double-platform core; (5) complete flake. All cores were collected from the surface.</p>
Full article ">Figure 11
<p>Qusongguo: examples of the microblade assemblage. (1, 5) Wedge-shaped microblade cores; (3, 6) microblade cores or endscrapers; (4, 9) core tablets; (2, 7, 8, 9) overpassed flakes. Nos. 3–4 were excavated from the test pit; No. 2 was excavated from the feature.</p>
Full article ">Figure 12
<p>Qusongguo: examples of retouched pieces. (1) Convergent sidescraper; (2) bifacial piece; (3) endscraper; (4) double-edged sidescraper; (5) notched piece. All tools were collected from the surface.</p>
Full article ">Figure 13
<p>Dingzhonghuzhuzi: examples of the core-flake assemblage. (1, 2) Multi-platform cores; (3) single-platform cores; (4–6) complete flakes.</p>
Full article ">Figure 14
<p>Dingzhonghuzhuzi: examples of the microblade assemblage. (1, 5) Wedge-shaped microblade cores; (2, 3) microblade cores (shapes undetermined); (4, 5) blank of microblade cores.</p>
Full article ">Figure 15
<p>Dingzhonghuzhuzi: examples of retouched pieces. (1, 2) Endscrapers; (3) notched piece; (4) bifacial piece; (5, 6) sidescrapers.</p>
Full article ">Figure 16
<p>Frequencies of the types of raw material found in different assemblage at three sites.</p>
Full article ">Figure 17
<p>(<b>a</b>) Simulated least-cost path from the Xiada Co site to the nearest random point in the adjacent lowland area; (<b>b</b>) simulated travel time from the Xiada Co site to the seven potential points; (<b>c</b>) straight-line distance to the contemporaneous sites with similar technology in adjacent lowlands in Central Asia.</p>
Full article ">
14 pages, 19586 KiB  
Article
Advanced Electrospun Composites Based on Polycaprolactone Fibers Loaded with Micronized Tungsten Powders for Radiation Shielding
by Chiara Giuliani, Ilaria De Stefano, Mariateresa Mancuso, Noemi Fiaschini, Luis Alexander Hein, Daniele Mirabile Gattia, Elisa Scatena, Eleonora Zenobi, Costantino Del Gaudio, Federica Galante, Giuseppe Felici and Antonio Rinaldi
Polymers 2024, 16(18), 2590; https://doi.org/10.3390/polym16182590 - 13 Sep 2024
Viewed by 221
Abstract
Exposure to high levels of radiation can cause acute, long-term health effects, such as acute radiation syndrome, cancer, and cardiovascular disease. This is an important occupational hazard in different fields, such as the aerospace and healthcare industry, as well as a crucial burden [...] Read more.
Exposure to high levels of radiation can cause acute, long-term health effects, such as acute radiation syndrome, cancer, and cardiovascular disease. This is an important occupational hazard in different fields, such as the aerospace and healthcare industry, as well as a crucial burden to overcome to boost space applications and exploration. Protective bulky equipment made of heavy metals is not suitable for many advanced purporses, such as mobile devices, wearable shields, and manned spacecrafts. In the latter case, the in-space manufacturing of protective shields is highly desirable and remains an unmet need. Composites made of polymers and high atomic number fillers are potential means for radiation protection due to their low weight, good flexibility, and good processability. In the present work, we developed electrospun composites based on polycaprolactone (polymer matrix) and tungsten powder for application as shielding materials. Electrospinning is a versatile technology that is easily scalable at an industrial level and allows obtaining very lightweight, flexible sheet materials for wearables. By controlling tungsten powder size, we engineered homogeneous, stable and processable suspensions to fabricate radiation composite shielding sheets. The shielding capability was assessed by an in vivo model on prototype composite sheets containing 80 w% of W filler in a polycaprolactone (PCL) fibrous matrix by means of irradiation tests (X-rays) on mice. The obtained results are promising; as expected, the shielding effectivity of the developed composite material increases with the thickness/number of stacked layers. It is worth noting that a thin barrier consisting of 24 layers of the innovative shielding material reduces the extent of apoptosis by 1.5 times compared to the non-shielded mice. Full article
(This article belongs to the Special Issue Advances in Functional Polymers and Composites)
Show Figures

Figure 1

Figure 1
<p>Schematic representation of the experimental setup (<b>a</b>), custom-built 3D printed PLA protective device for in vivo test mounted on a 3 mm thick solid lead sheet (<b>b</b>); PLA device wrapped up in 12 shielding sheets of PCL/W (<b>c</b>); PLA device wrapped up in 24 shielding sheets of PCL/W (<b>d</b>); schematic representation of a section of a cerebellum at 2 days of age (<b>e</b>); antero-dorsal cardinal lobe of the cerebellum (<b>f</b>). The dashed black line externally outlines the EGL. Figure in (<b>a</b>,<b>e</b>) was obtained by Biorender.</p>
Full article ">Figure 2
<p>The SEM image of the commercial W powder is as follows: before (<b>a</b>,<b>b</b>), after 16 h (<b>c</b>,<b>d</b>) and 26 h (<b>e</b>,<b>f</b>) of ball milling.</p>
Full article ">Figure 3
<p>Unstable suspension prepared using PCL and the commercial W powder (<b>a</b>), and stable suspension based on PCL and the optimized W powder (<b>b</b>).</p>
Full article ">Figure 4
<p>Micro-fibrous PCL sheets characterized by different W content (w% with respect to the PCL polymer).</p>
Full article ">Figure 5
<p>Microfibrous PCL/W sheets characterized as 10 w% (<b>a</b>), 40 w% (<b>b</b>), and 60 w% (<b>c</b>) of W with respect to the PCL polymer.</p>
Full article ">Figure 6
<p>EDS analysis of the PCL/W electrospun sheets.</p>
Full article ">Figure 7
<p>The apoptotic rate in EGL of irradiated mice under different experimental conditions. (<b>a</b>–<b>d</b>) Representative images of the EGL in the antero-dorsal cardinal lobe region of the cerebellum at postnatal day 2 (P2); Hematoxylin &amp; Eosin staining; 40× magnification. The inset in (<b>a</b>) shows pyknotic nuclei at higher magnification (100×) indicative of apoptosis in WB irradiated mice; (<b>e</b>) a graphical representation of the percentage of apoptotic cells in the different experimental groups. *** <span class="html-italic">p</span> &lt; 0.0001.</p>
Full article ">Figure 8
<p>(<b>a</b>) Cerebellum at P2 labeled with activated caspase 3; the EGL, where the cells undergoing apoptosis reside, is colored red (2× magnification). (<b>b</b>) Detail of the EGL at higher magnification (40×). (<b>c</b>) Graphical representation of the quantification of the signal related to the antero-dorsal cardinal lobe region. * <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">
14 pages, 487 KiB  
Article
Determinants of Households’ Resilience to Covariate Shocks: Empirical Evidence and Policy Implications from the Kenyan Fisheries and Aquaculture Sectors
by Silas Ochieng, Erick Ogello, Kevin Obiero and Maureen Cheserek
Aquac. J. 2024, 4(3), 203-216; https://doi.org/10.3390/aquacj4030015 - 13 Sep 2024
Viewed by 153
Abstract
This paper analyzes the factors influencing households’ resilience capacities to shocks within Kenya’s fisheries and aquaculture sectors and draws from primary data collected from 419 fish-dependent households across Kisumu, Busia, Mombasa, and Kilifi counties. The sample represents a total of 48,000 fishing households. [...] Read more.
This paper analyzes the factors influencing households’ resilience capacities to shocks within Kenya’s fisheries and aquaculture sectors and draws from primary data collected from 419 fish-dependent households across Kisumu, Busia, Mombasa, and Kilifi counties. The sample represents a total of 48,000 fishing households. The study adopted a quasi-longitudinal design and computed the household resilience capacity index (RCI) using the resilience index measurement and analysis (RIMA-II) model. The results indicate that male-headed households’ mean household RCI scores (mean = 45.07 ± 10.43) were statistically significant to that of female-headed households (mean = 38.15 ± 9.25), suggesting that female-headed households are associated with lower resilience capacities than male-headed households. Moreover, the study identifies differences in resilience levels across various occupations within the sector. For instance, RCI scores among fish traders (mean = 40.71 ± 9.97), a function performed mainly by women, statistically differed (p < 0.005) from male-dominated cage farming (mean = 48.60 ± 10.47), whereas RCI scores at the production level for fisher folks (mean = 44.89 ± 10.09) and pond farmers (mean = 44.04 ± 12.07) showed no statistical difference (0 > 0.05. Additionally, households with more income sources tend to have higher resilience capacities. Seasonality in fishing cycles limited households’ ability to recover from climate-induced shocks; the more months without fishing activity, the less the odds of recovery from shocks (OR = 0.532, 95% CI [0.163, 0.908], p = 0.022). Furthermore, households that lacked guaranteed market access and inputs during COVID-19 were less likely to recover during and after the shocks (OR = 0.401, 95% CI [0.161, 0.999], p = 0.05). Households organized in cooperatives with better access to credit showed a higher chance of recovery. The study recommends (a) adopting gender-sensitive approaches in fisheries and aquaculture interventions to empower women in trade, (b) strengthening policies to enhance access and adoption of climate-smart technologies such as cage fish farming, (c) promoting livelihood diversification to sustain households’ income during fishing off-seasons, and (d) enhancing market linkages in the fish value chain through coordinated producer organizations. Further research should explore the possibilities of introducing index-based weather insurance and other tested suitable safety nets for the fisheries and aquaculture sector. Full article
Show Figures

Figure 1

Figure 1
<p>Resilience capacity index by value-chain actor. Note: Outliers above the box plot are assigned random numbers of observations in the dataset.</p>
Full article ">
19 pages, 11112 KiB  
Case Report
Simulating the Natural Seasonal Ventilation of a Classroom in Poland Based on Measurements of the CO2 Concentration
by Katarzyna Nowak-Dzieszko, Maciej Mijakowski and Jarosław Müller
Energies 2024, 17(18), 4591; https://doi.org/10.3390/en17184591 - 13 Sep 2024
Viewed by 190
Abstract
There are many different factors affecting indoor air quality: environmental ones such as temperature, humidity, human activities within the building, smoking, cooking, and cleaning, but also external pollutants such as particulate matter, biological contaminants, and viruses or allergens. This study investigated the indoor [...] Read more.
There are many different factors affecting indoor air quality: environmental ones such as temperature, humidity, human activities within the building, smoking, cooking, and cleaning, but also external pollutants such as particulate matter, biological contaminants, and viruses or allergens. This study investigated the indoor air quality (IAQ) of a primary-school classroom in Cracow, Poland, based only on CO2 concentration levels exhaled by occupants. In the 1960s, over a thousand schools were built in Poland using similar technology. Most of them are still in use, and in many cases, modernization works are being carried out to improve their building envelope and the comfort of their use. The analyzed school is one of several hundred similar ones in southern Poland. Therefore, analyzing the possibilities of improving IAQ is an important topic, and the results can be used in the modernization process for many other buildings. Measurements indicated that the CO2 levels significantly exceeded acceptable standards, signaling poor air quality during usage time. This problem was connected mainly with the low efficiency of the natural ventilation system being used in the classroom. It is worth emphasizing that this type of ventilation system is the most commonly used ventilation solution in Polish schools. To address this problem, the classroom environment was simulated using CONTAM software, and the model was validated by comparing the simulated measurement data against the collected measurement data. Next, simulations for the entire heating season in Cracow were conducted, revealing that the IAQ remained consistently poor throughout this period. These findings highlight the persistent problem of inadequate ventilation in the classroom, which can have adverse effects on the health and performance of students and teachers. This article shows the usefulness of CONTAM for modeling not only gravity ventilation but also the window-opening process. The validated CONTAM model will be subsequently utilized to simulate annual IAQ conditions under various ventilation strategies in order to identify the most effective methods for maintaining acceptable IAQ while minimizing energy consumption. In our future analysis, the validated model will be used to test the following systems: demand-controlled ventilation (DCV), exhaust ventilation, and DCV/balanced ventilation with heat recovery. Full article
(This article belongs to the Section G: Energy and Buildings)
Show Figures

Figure 1

Figure 1
<p>(<b>a</b>,<b>b</b>) East elevation of analyzed school building. (<b>c</b>) View of the classroom. (<b>d</b>) iBros remote sensor set measuring CO<sub>2</sub>, temperature and humidity.</p>
Full article ">Figure 2
<p>CO<sub>2</sub> concentration in the classroom on 4 January 2019.</p>
Full article ">Figure 3
<p>Average CO<sub>2</sub> concentration in the classroom on 1 February 2019 between 10:50 a.m. and 12:30 a.m., taken from 6 sensors. Two 45 min lessons with a break at 11:30–11:45—windows opened.</p>
Full article ">Figure 4
<p>CONTAM model of the classroom—screen from the program.</p>
Full article ">Figure 5
<p>The adjustment of CO<sub>2</sub> concentration in the classroom on 4 January 2021 to the simulation curve from CONTAM program (black line). Color lines represent data from different sensors.</p>
Full article ">Figure 6
<p>Density and distribution of probability for indoor CO<sub>2</sub> concentration error.</p>
Full article ">Figure 7
<p>Relation of CO<sub>2</sub> concentration between measurements and model calculations.</p>
Full article ">Figure 8
<p>Outdoor temperature profile for Cracow. Analyzed period of time between 1 November and 31 March.</p>
Full article ">Figure 9
<p>Wind speed profile for Cracow. Analyzed period of time between 1 November and 31 March.</p>
Full article ">Figure 10
<p>Changes in the indoor CO<sub>2</sub> concentration between 1 November and 31 March.</p>
Full article ">Figure 11
<p>(<b>a</b>) Changes in the indoor CO<sub>2</sub> concentration during five working days; (<b>b</b>) ventilation air flow during five working days; (<b>c</b>) changes in the indoor CO<sub>2</sub> concentration during one working day; (<b>d</b>) changes in the ventilation air flow during one working day.</p>
Full article ">Figure 11 Cont.
<p>(<b>a</b>) Changes in the indoor CO<sub>2</sub> concentration during five working days; (<b>b</b>) ventilation air flow during five working days; (<b>c</b>) changes in the indoor CO<sub>2</sub> concentration during one working day; (<b>d</b>) changes in the ventilation air flow during one working day.</p>
Full article ">Figure 12
<p>(<b>a</b>) Ventilation air flow vs. outdoor temperature; (<b>b</b>) indoor CO<sub>2</sub> concentration vs. outdoor temperature; (<b>c</b>) ventilation air flow vs. indoor CO<sub>2</sub> concentration; (<b>d</b>) air heating power demand vs. outdoor temperature.</p>
Full article ">Figure 13
<p>Daily profile of concentrations for the working days in the analyzed period of time.</p>
Full article ">Figure 14
<p>Daily profile of the ventilation air flows for the working days in the analyzed period of time.</p>
Full article ">Figure 15
<p>Density and distribution of probability for indoor CO<sub>2</sub> concentration during occupied hours.</p>
Full article ">
12 pages, 14992 KiB  
Article
Dynamics of the Oasis–Desert–Impervious Surface System and Its Mechanisms in the Northern Region of Egypt
by Yuanyuan Liu, Caihong Ma and Liya Ma
Land 2024, 13(9), 1480; https://doi.org/10.3390/land13091480 - 13 Sep 2024
Viewed by 241
Abstract
Arid oasis ecosystems are susceptible and fragile ecosystems on Earth. Studying the interaction between deserts, oases, and impervious surfaces is an essential breakthrough for the harmonious and sustainable development of people and land in drylands. Based on gridded data such as land use [...] Read more.
Arid oasis ecosystems are susceptible and fragile ecosystems on Earth. Studying the interaction between deserts, oases, and impervious surfaces is an essential breakthrough for the harmonious and sustainable development of people and land in drylands. Based on gridded data such as land use and NDVI, this article analyzes the interaction characteristics between oases, deserts, and impervious surfaces in northern Egypt and examines their dynamics using modeling and geographic information mapping methods. The results show the following: In terms of the interaction between deserts and oases, the primary manifestation was the expansion of oases and the reduction of deserts. During the study period, the oases in the Nile Delta and Fayoum District increased significantly, with the area of oases in 2020 being 1.19 times the area in 2000, which shows a clear trend of advance of people and retreat of sand. The interaction between oases and impervious surfaces was mainly observed in the form of the spread of impervious surfaces on arable land into oases. During the study period, the area of impervious surfaces increased 2.32 times. The impervious surface expanded over 1903.70 km2 of arable land, accounting for 66.67% of the expanded area. The central phenomenon between the impervious surface and the desert was the encroachment of the covered area of the impervious surface into the desert, especially around the city of Cairo. Population growth and urbanization are the two central drivers between northern Egypt’s oases, deserts, and impervious surfaces. The need for increased food production due to population growth has forced oases to move deeper into the desert, and occupation of arable land due to urbanization has led to increasing pressure on arable land, creating a pressure-conducting dynamic mechanism. Finally, countermeasures for sustainable regional development are suggested. Full article
(This article belongs to the Special Issue Spatial Optimization and Sustainable Development of Land Use)
Show Figures

Figure 1

Figure 1
<p>Scope of the study area (produced based on the base map of a standard map with the Remote Sensing and Geographic Information Cloud Service Platform website. (<a href="https://engine.piesat.cn/dataset-list" target="_blank">https://engine.piesat.cn/dataset-list</a> (accessed on 5 December 2023)). No modifications were made to the base map, the same for maps at the bottom.</p>
Full article ">Figure 2
<p>Statistical map of changes in the area of arable land–impervious surface–sand in the northern region of Egypt from 2000 to 2020.</p>
Full article ">Figure 3
<p>Dynamic map of single and integrated land use in the northern region of Egypt from 2000 to 2020.</p>
Full article ">Figure 4
<p>Arable land–impervious surface–sand-other transfer flow chords in northern Egypt from 2000 to 2020.</p>
Full article ">Figure 5
<p>Spatial distribution of normalized vegetation index (NDVI) in northern Egypt from 2000 to 2020.</p>
Full article ">Figure 6
<p>Changes in arable land in northern Egypt from 2000 to 2020.</p>
Full article ">Figure 7
<p>Map of impervious surface and nighttime light index in northern Egypt from 2000 to 2020: (<b>a</b>) change in impervious surface; (<b>b</b>) genealogy of nighttime light index; (<b>c</b>) change in nighttime light index.</p>
Full article ">Figure 8
<p>Map of NDVI change lines and land use change lines in the northern region of Egypt from 2000 to 2020.</p>
Full article ">Figure 9
<p>Schematic diagram of the dynamic mechanism of oasis–desert–impervious surface interaction evolution (image by the authors).</p>
Full article ">
4 pages, 625 KiB  
Proceeding Paper
The Impact of Building Occupancy on Water Demand Characteristics in Residential Buildings: A Sensitivity Analysis
by Brendan M. Josey and Jinzhe Gong
Eng. Proc. 2024, 69(1), 119; https://doi.org/10.3390/engproc2024069119 - 11 Sep 2024
Viewed by 105
Abstract
A stochastic water demand model was used to undertake a sensitivity study to evaluate building occupancy against selected premise plumbing design parameters. The results demonstrate that building occupancy has a strong positive correlation for estimating the peak demand, average demand, and peak hourly [...] Read more.
A stochastic water demand model was used to undertake a sensitivity study to evaluate building occupancy against selected premise plumbing design parameters. The results demonstrate that building occupancy has a strong positive correlation for estimating the peak demand, average demand, and peak hourly water consumption (Spearman’s coefficient: 0.995–0.99), and a strong negative correlation to stagnation (the percentage of time a building spends at zero flow; Spearman’s coefficient: −0.996). The results indicate that building occupancy should be taken into consideration in premise plumbing design, which currently mainly focuses on the type and number of fixtures. Full article
Show Figures

Figure 1

Figure 1
<p>Simulated water consumption results considering four plumbing design parameters—(<b>a</b>) peak demand, (<b>b</b>) average demand, (<b>c</b>) peak hour water consumption, and (<b>d</b>) stagnation—as a function of building occupancy for five simulated water consumption scenarios that assume fixed apartment occupancy levels ranging from 1 to 5 people.</p>
Full article ">
23 pages, 4047 KiB  
Article
Enhancing Predictive Models for On-Street Parking Occupancy: Integrating Adaptive GCN and GRU with Household Categories and POI Factors
by Xiaohang Zhao and Mingyuan Zhang
Mathematics 2024, 12(18), 2823; https://doi.org/10.3390/math12182823 - 11 Sep 2024
Viewed by 457
Abstract
Accurate predictions of parking occupancy are vital for navigation and autonomous transport systems. This research introduces a deep learning mode, AGCRU, which integrates Adaptive Graph Convolutional Networks (GCNs) with Gated Recurrent Units (GRUs) for predicting on-street parking occupancy. By leveraging real-world data from [...] Read more.
Accurate predictions of parking occupancy are vital for navigation and autonomous transport systems. This research introduces a deep learning mode, AGCRU, which integrates Adaptive Graph Convolutional Networks (GCNs) with Gated Recurrent Units (GRUs) for predicting on-street parking occupancy. By leveraging real-world data from Melbourne, the proposed model utilizes on-street parking sensors to capture both temporal and spatial dynamics of parking behaviors. The AGCRU model is enhanced with the inclusion of Points of Interest (POIs) and housing data to refine its predictive accuracy based on spatial relationships and parking habits. Notably, the model demonstrates a mean absolute error (MAE) of 0.0156 at 15 min, 0.0330 at 30 min, and 0.0558 at 60 min; root mean square error (RMSE) values are 0.0244, 0.0665, and 0.1003 for these intervals, respectively. The mean absolute percentage error (MAPE) for these intervals is 1.5561%, 3.3071%, and 5.5810%. These metrics, considerably lower than those from traditional and competing models, indicate the high efficiency and accuracy of the AGCRU model in an urban setting. This demonstrates the model as a tool for enhancing urban parking management and planning strategies. Full article
Show Figures

Figure 1

Figure 1
<p>Overview of the prediction methodology.</p>
Full article ">Figure 2
<p>Adaptive GCN Structure.</p>
Full article ">Figure 3
<p>Temporal prediction interval.</p>
Full article ">Figure 4
<p>Sample of On-Street Parking in Melbourne.</p>
Full article ">Figure 5
<p>Visualization of data matrix: (<b>a</b>) Distance Matrix Visualization; (<b>b</b>) Cosine Similarity Matrix; (<b>c</b>) Adjacency Matrix Visualization.</p>
Full article ">Figure 6
<p>Comparison between actual and predicted value in 15, 30, 60 min.</p>
Full article ">Figure 7
<p>Training and test loss per epoch.</p>
Full article ">
29 pages, 4674 KiB  
Article
Thermal System and Net-Zero-Carbon Least-Cost Design Optimization of New Detached Houses in Canada
by Brandon Wilbur, Alan S. Fung and Rakesh Kumar
Buildings 2024, 14(9), 2870; https://doi.org/10.3390/buildings14092870 - 11 Sep 2024
Viewed by 345
Abstract
This study focused on optimizing a model house for different locations and types of thermal systems to understand better how heating system type affects thermal envelope design. The study investigated six different thermal system configurations in separate optimizations for five locations. Optimization implies [...] Read more.
This study focused on optimizing a model house for different locations and types of thermal systems to understand better how heating system type affects thermal envelope design. The study investigated six different thermal system configurations in separate optimizations for five locations. Optimization implies reducing energy consumption, minimizing greenhouse emissions (GHG), lowering operational costs, ensuring regulatory compliance, enhancing resilience, and improving occupant comfort and health. The Pareto front, multi-objective optimization, is used to identify a set of optimal solutions, considering multiple goals that may conflict with each other. In determining the least-cost building design envelope, the design balances costs with other goals, such as energy efficiency and environmental impact. The optimizations determine the life-cycle cost versus operational GHG emissions for a single-detached house in Canadian locations with varying climates, emissions factors, and energy costs. Besides natural gas, the study evaluated four electricity-heated options: (a) an air-source heat pump, (b) a ductless mini-split heat pump, (c) a ground-source heat pump, and (d) an electric baseboard. A net-zero-carbon design with grid-tied photovoltaics was also optimized. Results indicate that the heating system type influences the optimal enclosure design. In each location, at least one all-electric kind of design has a lower life-cycle cost than the optimized gas-heated model, and such designs can mitigate the majority of operational GHG emissions from new housing in locations with a low carbon electricity supply. Full article
(This article belongs to the Section Building Energy, Physics, Environment, and Systems)
Show Figures

Figure 1

Figure 1
<p>LCC vs. GHG optimization analysis representation.</p>
Full article ">Figure 2
<p>Optimization schedule by location and thermal system type; NZC (net-zero carbon) is the overall least LCC all-electric design + PV. In this figure, VN stands for Vancouver, ED for Edmonton, TO for Toronto, ML for Montreal, HX for Halifax.</p>
Full article ">Figure 3
<p>Model geometry-clockwise from top left: north, south, west, east (green = conditioned volume).</p>
Full article ">Figure 4
<p>Reference model SHDI and EUI values.</p>
Full article ">Figure 5
<p>Reference model EUI Breakdown by end-use for thermal-system-specific Toronto baseline models (hatching = natural gas, solid = electricity).</p>
Full article ">Figure 6
<p>Toronto MSHP design cash flows (chart excludes residual value: <span>$</span>79,938 in year 30, i.e., a negative cost).</p>
Full article ">Figure 7
<p>Gas-TO optimization plot with exterior wall insulation sensitivity frontiers.</p>
Full article ">Figure 8
<p>The optimal design arranged from left to right and top to bottom, starting with Vancouver, followed by Edmonton, Toronto, Montreal, and finally, Halifax.</p>
Full article ">Figure 9
<p>Edmonton NZE optimization results with PV systems.</p>
Full article ">Figure 10
<p>Initial cost optimal designs—Toronto (“fixed” includes lighting, appliances, ceiling fans, doors, eaves, and thermal mass).</p>
Full article ">Figure 11
<p>Annual energy use by end-use—Toronto (hatched = natural gas, solid = electricity).</p>
Full article ">Figure 12
<p>Annual energy costs of optimal models—Toronto (E = electricity, G = natural gas).</p>
Full article ">Figure 13
<p>Annual GHG emissions by fuel type—Toronto.</p>
Full article ">Figure 14
<p>The SHDI of optimal Toronto design enclosures; the orange line represents the climate-specific North American Passive House Standard Target [<a href="#B32-buildings-14-02870" class="html-bibr">32</a>].</p>
Full article ">Figure 15
<p>Hourly heating delivered by the MSHP—Toronto.</p>
Full article ">Figure 16
<p>Annual hourly electric load profile of heat pump and whole building for MSHP—Toronto design.</p>
Full article ">Figure 17
<p>January day electric load profile—Toronto.</p>
Full article ">Figure 18
<p>Energy use versus GHG emissions—Toronto (orange = MSHP design variants, blue = gas design variants).</p>
Full article ">Figure 19
<p>Energy use versus GHG emissions—Edmonton.</p>
Full article ">
12 pages, 729 KiB  
Article
Structural Equation Modeling of Musculoskeletal Pains, Work–Family Conflict, and Sleep-Related Problems on Well-Being of Food Manufacturing Workers
by Jun Won Kim and Byung Yong Jeong
Appl. Sci. 2024, 14(17), 8093; https://doi.org/10.3390/app14178093 - 9 Sep 2024
Viewed by 464
Abstract
The objective of this study is to investigate the causal relationships between musculoskeletal pains, work–family conflict, sleep-related problems, and the well-being of food manufacturing workers using structural equation modeling. This study analyzed 523 food manufacturing workers extracted from the Sixth Korea Working Conditions [...] Read more.
The objective of this study is to investigate the causal relationships between musculoskeletal pains, work–family conflict, sleep-related problems, and the well-being of food manufacturing workers using structural equation modeling. This study analyzed 523 food manufacturing workers extracted from the Sixth Korea Working Conditions Survey. We formulated six hypotheses based on literature reviews and examined the structural causal relationship between work–family conflict, musculoskeletal pains, sleep-related problems, and well-being. According to the results of structural equation modeling, work–family conflict has a significant impact on musculoskeletal pains (standardized path coefficient of 0.113). Furthermore, both musculoskeletal pains (standardized path coefficient of 0.350) and work–family conflict (standardized path coefficient of 0.212) have been found to affect sleep-related problems. It has also been established that musculoskeletal pains have a direct influence on well-being (standardized path coefficient of 0.115). The association and structural causality between musculoskeletal pain and psychological factors in food manufacturing workers can be used for customized measures to improve the well-being of food manufacturing workers. This study is also meaningful in that musculoskeletal pain and psychological factors should be managed in an integrated manner. Full article
(This article belongs to the Section Applied Biosciences and Bioengineering)
Show Figures

Figure 1

Figure 1
<p>Conceptual structural equation model (SEM) of this study. Rectangle, measurement variable; ellipse, latent variable; D<sub>i</sub>, disturbance or residual; e<sub>i</sub>, measurement error.</p>
Full article ">Figure 2
<p>Final SEM of this study. Rectangle represents measurement variable, and ellipse represents latent variable. D<sub>i</sub>: disturbance or residual; e<sub>i</sub>: measurement error.</p>
Full article ">
11 pages, 2799 KiB  
Article
Monitoring the Influence of Hand, Foot, and Mouth Disease: New Guidelines on Patient Care during the 2011–2012 Multiwaves and Multivariant Outbreak in Hai Phong City, Vietnam
by Nghia Ngu Duy, Le Thi Thanh Huong, Patrice Ravel, Le Thi Song Huong, Ankit Dwivedi, Guilhem Kister, Laurent Gavotte, Christian A. Devaux, Vu Dinh Thiem, Nguyen Thi Hien Thanh, Tran Nhu Duong, Nguyen Tran Hien, Emmanuel Cornillot and Roger Frutos
Pathogens 2024, 13(9), 777; https://doi.org/10.3390/pathogens13090777 - 9 Sep 2024
Viewed by 420
Abstract
From 2011 to 2012, Northern Vietnam suffered its first large-scale hand, foot, and mouth disease (HFMD) epidemic. Two sets of official guidelines were issued during the outbreak to handle the HFMD crisis. The city of Hai Phong was used as a model to [...] Read more.
From 2011 to 2012, Northern Vietnam suffered its first large-scale hand, foot, and mouth disease (HFMD) epidemic. Two sets of official guidelines were issued during the outbreak to handle the HFMD crisis. The city of Hai Phong was used as a model to analyze the impact of the released guidelines. A total of 9621 HFMD cases were reported in Hai Phong city from April 2011 to December 2012. Three distinct waves of HFMD occurred. Enterovirus A71 and Coxsackievirus A16 were successively associated with the epidemics. Two periods, before and after the guidelines’ release, could be distinguished and characterized by different patient patterns. The time to admission and severity changed notably. Guideline publications help the health system refocus on the 0.5–3 years age group with the highest incidence of the disease. The three waves showed different special distribution, but the main routes of infection were rivers and local secondary roads, most likely through local trade and occupational movements of people. Full article
(This article belongs to the Section Epidemiology of Infectious Diseases)
Show Figures

Figure 1

Figure 1
<p>Evolution of HFMD cases and clinical parameters (age, delay of admission, and severity) over the epidemic period (2011–2012). (<b>a</b>). Weekly HFMD cases and severity distribution in Hai Phong City (2011–2012) Number of HFMD cases weekly reported to the National Institute of Hygiene and Epidemiology (NIHE), 2011–2012. Each epidemiologic week begins on Monday. Mandatory reporting of the disease began in 2011. Severity levels are based on WHO guidelines for HFMD clinical assessment and case management. Mild cases are cases free of complication (severity score = 1). Moderate cases have a severity score = 2a. Severe cases are characterized by febrile exanthematous symptoms affecting the central nervous system, frequently myoclonus, and more severe neurological complications (severity score = 2b, 3, 4). (<b>b</b>). Monthly distribution of age groups of HFMD patients in Hai Phong City (2011–2012). The ages of HFMD patients are divided into two groups: less than 2 years old and 2 years old and above. (<b>c</b>). Monthly distribution of delay of admission of HFMD patients in Hai Phong City (2011–2012). Delayed admission is the difference between the date of admission of the patient at the hospital and the date of onset. The distribution shows the proportion of delay of admission for the following classes: one day, two days, three days, or four days and more.</p>
Full article ">Figure 2
<p>Clusters of patients. The 9621 patients were clustered based on age, the time between the onset of the disease and admission (Delay), and severity. The heatmap represents variables as Boolean values (yellow color for 0 and pink for 1). The pink color corresponds to patients below 2 years of age, male patients, patients from Period 2, patients living in urban areas, and patients registered at the Hai Phong City Pediatric Hospital. The grey color is the unavailable data. The top annotation provides information on the severity, delay of admission, and epidemic waves.</p>
Full article ">Figure 3
<p>Spatio-temporal distribution of the PCR identifications in Hai Phong. EVs represent all positive results with Enteroviruses using semi-nested PCR. EV-A71 represents all positive results with EV-A71 using semi-nested PCR. “Non-positive” represents all negative results with Enteroviruses using semi-nested PCR. (<b>a</b>). Time flow of the 257 PCR identification of HFMD epidemic in Hai Phong. (<b>b</b>). Spatial distribution of the 257 PCR identifications in Hai Phong city. Spread of the disease in Hai Phong city. PCA analysis suggested that the distribution among districts was highly variable over the three waves (<a href="#app1-pathogens-13-00777" class="html-app">Supplementary Figure S2</a>). Time differences in the evolution of the epidemic among districts could result from such variation. Early cases appeared in the northern and urban zones of the city (<a href="#app1-pathogens-13-00777" class="html-app">Supplementary Figure S3</a>) and expanded to the west and to the south (<a href="#pathogens-13-00777-f003" class="html-fig">Figure 3</a>). Each wave displayed a different main site of emergence (<a href="#pathogens-13-00777-f003" class="html-fig">Figure 3</a>, <a href="#app1-pathogens-13-00777" class="html-app">Supplementary Table S12</a>). Wave 1 started in the city center, whereas Waves 2 and 3 emerged at the periphery. The order of occurrence of the first case for each wave defined five groups of districts (<a href="#app1-pathogens-13-00777" class="html-app">Supplementary Figure S3</a>): Hai Phong city center (Group 1), New urban areas in the southern part of the city, and a western rural district (Group 2), peripheric districts and Do Son (Group 3), two rural districts not connected to the main road network (Group 4) and Cat Hai islands (Group 5). The disease’s diffusion to the south followed the axis supported by two main roads, allowing the crossing of rivers and canals. No direct transmission of the disease was observed between the city center and these new urban areas during Waves 2 and 3 (<a href="#pathogens-13-00777-f004" class="html-fig">Figure 4</a>). Patterns of transmission among groups were similar for the three waves. The re-emergence of the disease during Waves 2 and 3 shows similarity despite the presence of different etiological agents.</p>
Full article ">Figure 4
<p>Sites of emergence and expansion of the three waves of HFMD in Hai Phong city during the 2011–2012 epidemics. Shades of grey represent the five groups of districts according to <a href="#app1-pathogens-13-00777" class="html-app">Supplementary Table S12</a>. The island of at Cat Hai is not represented on the map.</p>
Full article ">
21 pages, 574 KiB  
Article
Italian Version of the Hospital Aggressive Behaviour Scale-Users: Initial Psychometric Evaluation among Hospital Healthcare Professionals
by Elena Cavallari, Ilaria Setti, Matteo Curcuruto, Cristina Gremita and Valentina Sommovigo
Healthcare 2024, 12(17), 1787; https://doi.org/10.3390/healthcare12171787 - 6 Sep 2024
Viewed by 366
Abstract
Background: Healthcare professionals frequently encounter various forms of aggression, ranging from verbal abuse to physical assaults, which can compromise both their occupational well-being and patient-care quality. Despite its prevalence and serious consequences, workplace aggression is often underreported due to a lack of standardized [...] Read more.
Background: Healthcare professionals frequently encounter various forms of aggression, ranging from verbal abuse to physical assaults, which can compromise both their occupational well-being and patient-care quality. Despite its prevalence and serious consequences, workplace aggression is often underreported due to a lack of standardized assessment tools. This study aims to develop a valid Italian version of the Hospital Aggressive Behaviour Scale-Users. Methods: The scale’s structure was evaluated using exploratory (EFA) and confirmatory (CFA) factor analyses on two samples of healthcare professionals during and after the pandemic. Reliability, measurement invariance, and nomological validity were examined. Results: EFA revealed a two-factor structure comprising eight items (χ2 = 59.651, df = 13, p = 0.00; CFI = 0.98; TLI = 0.95; RMSEA = 0.07; SRMR = 0.02), distinguishing non-physical and physical aggression, and meeting all recommended criteria. CFA confirmed this structure, demonstrating good reliability and outperforming alternative models. The same factor structure was confirmed in standard (χ2 = 35.01, df = 19, p = 0.00; CFI = 0.99; TLI = 0.99; RMSEA = 0.03; SRMR = 0.02) and emergency (χ2 = 30.65, df = 19, p = 0.04; CFI = 0.98; TLI = 0.97; RMSEA = 0.06; SRMR = 0.04) contexts. Full residual invariance was found across job tenure groups. Aggression was positively associated with emotional exhaustion, psychological distance, psychosomatic symptoms, post-traumatic stress symptoms, and turnover intentions while negatively related to job satisfaction. Nurses and healthcare assistants reported higher levels of aggression than doctors. Conclusions: This study provides a reliable, context-specific instrument for documenting and analysing outsider aggression. The insights can inform targeted interventions, contributing to a healthier hospital environment. Full article
Show Figures

Figure 1

Figure 1
<p>Standardized coefficients for the two-factor model across both CFA samples. Note. <span class="html-italic">p</span> &lt; 0.001 for all coefficients.</p>
Full article ">
17 pages, 7451 KiB  
Article
Prediction of Air Purifier Effectiveness for Eliminating Exhaled Droplets in a Confined Room
by Yumeng Zhao, Alexander Russell, Kingsly Ambrose and Carl R. Wassgren
Processes 2024, 12(9), 1917; https://doi.org/10.3390/pr12091917 - 6 Sep 2024
Viewed by 410
Abstract
High-efficiency particulate air (HEPA) filter purifiers are a recommended method for eliminating respiratory airborne droplets. In this study, the movement of airborne droplets exhaled by occupants in an unventilated, two-bed dormitory room with an air purifier was simulated using computational fluid dynamics. The [...] Read more.
High-efficiency particulate air (HEPA) filter purifiers are a recommended method for eliminating respiratory airborne droplets. In this study, the movement of airborne droplets exhaled by occupants in an unventilated, two-bed dormitory room with an air purifier was simulated using computational fluid dynamics. The air was modeled using an Eulerian scheme while the droplets were modeled using a Lagrangian method. The airborne droplet number, the rate at which droplets are removed, and the rate at which droplets accumulate were calculated. A larger HEPA flow rate increased the droplet removal efficiency, with most of the droplets settling on boundary surfaces. Of particular note, the air purifier location within the room had a significant impact on reducing the droplet exchange between two occupants and improving the droplet elimination efficiency. Full article
Show Figures

Figure 1

Figure 1
<p>Simulation geometry.</p>
Full article ">Figure 2
<p>Mesh sensitivity test results comparing air speeds for fine and coarse meshes at 14 locations. The data were collected at a simulation time of 25 s.</p>
Full article ">Figure 3
<p>Air velocity field generated by the air purifier at location 1 at steady state (air purifier outlet speed of 1.5 m/s; arrows indicate the direction flow; color scale corresponds to air speed). The green arrows at the air purifier inlet are directed into the filter but appear to be exiting due to the arrow size.</p>
Full article ">Figure 4
<p>Droplet locations after 40 s of dispersion (in the steady-state air flow field) at an air purifier speed of (<b>a</b>) 1.0 m/s, (<b>b</b>) 1.5 m/s, and (<b>c</b>) 2.0 m/s. The left figures are for droplets released from the non-lofted bed occupant and the right figures are for the droplets released from the lofted bed occupant. The red arrows in the figures represent the droplets’ release location and direction while the blue arrows represent the general airflow direction. The color bar indicates droplet residence time (s).</p>
Full article ">Figure 4 Cont.
<p>Droplet locations after 40 s of dispersion (in the steady-state air flow field) at an air purifier speed of (<b>a</b>) 1.0 m/s, (<b>b</b>) 1.5 m/s, and (<b>c</b>) 2.0 m/s. The left figures are for droplets released from the non-lofted bed occupant and the right figures are for the droplets released from the lofted bed occupant. The red arrows in the figures represent the droplets’ release location and direction while the blue arrows represent the general airflow direction. The color bar indicates droplet residence time (s).</p>
Full article ">Figure 5
<p>Droplet deposition rate on boundaries (drops/s) with air purifier speed of 1.0, 1.5, and 2.0 m/s.</p>
Full article ">Figure 6
<p>Exhaled droplet release rate and droplet removal rate by the purifier and the boundary surfaces as a function of time after reaching steady-state airflow with an air purifier speed of 1.5 m/s. Note that the rate of droplet removal by the air purifier is small and remains close to the horizontal axis of the plot.</p>
Full article ">Figure 7
<p>Number of droplets collecting on surfaces as a function of time for different air purifier speeds (V). The time on the horizontal axis is the time after the airflow has reached a steady state. The total number of exhaled droplets is included on the plot as a horizontal line for reference.</p>
Full article ">Figure 8
<p>Number of droplets removed by the air purifier as a function of time for different air purifier speeds (V). The time on the horizontal axis is the time after the airflow has reached a steady state. For reference, the total rate at which droplets are exhaled is 210 droplets/s.</p>
Full article ">Figure 9
<p>(<b>a</b>) Steady-state air velocity field generated by the air purifier for an air purifier speed of 1.5 m/s. The color bar indicates the local air speed, and the red arrows indicate the droplet release location and direction. (<b>b</b>) Corresponding droplet locations exhaled from the lofted (<b>right</b>) and non-lofted (<b>left</b>) bed occupants 40 s after the airflow reaches a steady state, with the color bars indicating the droplet residence time (s). The large blue arrows in the figures indicate the general airflow direction.</p>
Full article ">Figure 10
<p>Number rate of droplets collected on surfaces and removed by the air purifier as a function of time for an air purifier speed of 1.5 m/s. The total rate of exhaled droplets is included in the plot for reference.</p>
Full article ">Figure 11
<p>Droplet locations exhaled by the non-lofted (left) and lofted (right) bed occupants after 40 s without the air purifier.</p>
Full article ">
21 pages, 1611 KiB  
Article
Identifying Key Parameters in Building Energy Models: Sensitivity Analysis Applied to Residential Typologies
by Sofía Gervaz and Federico Favre
Buildings 2024, 14(9), 2804; https://doi.org/10.3390/buildings14092804 - 6 Sep 2024
Viewed by 362
Abstract
Building energy modeling tools play a crucial role in quantifying and understanding the energy performance of buildings. These tools require substantial amounts of data, which can be challenging to obtain and are often associated with significant uncertainties. The incorporation of sensitivity analysis is [...] Read more.
Building energy modeling tools play a crucial role in quantifying and understanding the energy performance of buildings. These tools require substantial amounts of data, which can be challenging to obtain and are often associated with significant uncertainties. The incorporation of sensitivity analysis is a crucial step toward developing reliable models as it identifies the most critical parameters that require meticulous characterization. In this study, a sensitivity analysis based on the Morris method was conducted to assess the relevance of 14 input parameters affecting thermal loads across four dwelling typologies modeled in EnergyPlus. Different numbers of Morris trajectories and levels were considered to analyze the impact of the user-defined values of r and p when employing the Morris method. Convergence was achieved at r = 200 and p = 12, which are higher than the typically employed values (r = 10 and p = 4). Roof solar absorptivity, setpoint temperatures, orientation, and the roof conductance rank among the top five most influential parameters affecting thermal loads in all four of the studied typologies. Occupancy was also among the top five most relevant parameters in three of the four typologies. Full article
(This article belongs to the Special Issue Computational Methods in Building Energy Efficiency Research)
Show Figures

Figure 1

Figure 1
<p>House-studio.</p>
Full article ">Figure 2
<p>Two-story.</p>
Full article ">Figure 3
<p>Ranch.</p>
Full article ">Figure 4
<p>Bungalow.</p>
Full article ">Figure 5
<p>The <math display="inline"><semantics> <msqrt> <mrow> <msup> <mrow> <msup> <mi>μ</mi> <mo>*</mo> </msup> </mrow> <mn>2</mn> </msup> <mo>+</mo> <msup> <mi>σ</mi> <mn>2</mn> </msup> </mrow> </msqrt> </semantics></math> convergence with <span class="html-italic">r</span> for cooling loads across the four typologies.</p>
Full article ">Figure 6
<p>The <math display="inline"><semantics> <msqrt> <mrow> <msup> <mrow> <msup> <mi>μ</mi> <mo>*</mo> </msup> </mrow> <mn>2</mn> </msup> <mo>+</mo> <msup> <mi>σ</mi> <mn>2</mn> </msup> </mrow> </msqrt> </semantics></math> convergence with <span class="html-italic">r</span> for heating loads across the four typologies.</p>
Full article ">Figure 7
<p>Relative ranking of the 14 parameters according to their <math display="inline"><semantics> <msqrt> <mrow> <msup> <mrow> <msup> <mi>μ</mi> <mo>*</mo> </msup> </mrow> <mn>2</mn> </msup> <mo>+</mo> <msup> <mi>σ</mi> <mn>2</mn> </msup> </mrow> </msqrt> </semantics></math> value with respect to the cooling loads after <math display="inline"><semantics> <mrow> <mi>r</mi> <mo>=</mo> <mn>400</mn> </mrow> </semantics></math> for all investigated <span class="html-italic">p</span> across the four typologies.</p>
Full article ">Figure 8
<p>Relative ranking of the 14 parameters according to their <math display="inline"><semantics> <msqrt> <mrow> <msup> <mrow> <msup> <mi>μ</mi> <mo>*</mo> </msup> </mrow> <mn>2</mn> </msup> <mo>+</mo> <msup> <mi>σ</mi> <mn>2</mn> </msup> </mrow> </msqrt> </semantics></math> value with respect to the heating loads after <math display="inline"><semantics> <mrow> <mi>r</mi> <mo>=</mo> <mn>400</mn> </mrow> </semantics></math> for all investigated <span class="html-italic">p</span> across the four typologies.</p>
Full article ">Figure 9
<p>Morris method results of the <math display="inline"><semantics> <msup> <mi>μ</mi> <mo>*</mo> </msup> </semantics></math> and <math display="inline"><semantics> <mi>σ</mi> </semantics></math> for cooling, heating, and the total thermal loads for the house-studio typology with <math display="inline"><semantics> <mrow> <mi>r</mi> <mo>=</mo> <mn>400</mn> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mi>p</mi> <mo>=</mo> <mn>16</mn> </mrow> </semantics></math>.</p>
Full article ">Figure 10
<p>Morris method results of the <math display="inline"><semantics> <msup> <mi>μ</mi> <mo>*</mo> </msup> </semantics></math> and <math display="inline"><semantics> <mi>σ</mi> </semantics></math> for cooling, heating, and the total thermal loads for the two-story typology with <math display="inline"><semantics> <mrow> <mi>r</mi> <mo>=</mo> <mn>400</mn> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mi>p</mi> <mo>=</mo> <mn>16</mn> </mrow> </semantics></math>.</p>
Full article ">Figure 11
<p>Morris method results of the <math display="inline"><semantics> <msup> <mi>μ</mi> <mo>*</mo> </msup> </semantics></math> and <math display="inline"><semantics> <mi>σ</mi> </semantics></math> for cooling, heating, and the total thermal loads for the ranch typology with <math display="inline"><semantics> <mrow> <mi>r</mi> <mo>=</mo> <mn>400</mn> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mi>p</mi> <mo>=</mo> <mn>16</mn> </mrow> </semantics></math>.</p>
Full article ">Figure 12
<p>Morris method results of the <math display="inline"><semantics> <msup> <mi>μ</mi> <mo>*</mo> </msup> </semantics></math> and <math display="inline"><semantics> <mi>σ</mi> </semantics></math> for cooling, heating, and the total thermal loads for the bungalow typology with <math display="inline"><semantics> <mrow> <mi>r</mi> <mo>=</mo> <mn>400</mn> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mi>p</mi> <mo>=</mo> <mn>16</mn> </mrow> </semantics></math>.</p>
Full article ">
Back to TopTop