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15 pages, 2482 KiB  
Article
High-Yield Expressed Human Ferritin Heavy-Chain Nanoparticles in K. marxianus for Functional Food Development
by Xinyi Lu, Liping Liu, Haibo Zhang, Haifang Lu, Tian Tian, Bing Du, Pan Li, Yao Yu, Jungang Zhou and Hong Lu
Foods 2024, 13(18), 2919; https://doi.org/10.3390/foods13182919 (registering DOI) - 15 Sep 2024
Viewed by 158
Abstract
The use of Generally Recognized as Safe (GRAS)-grade microbial cell factories to produce recombinant protein-based nutritional products is a promising trend in developing food and health supplements. In this study, GRAS-grade Kluyveromyces marxianus was employed to express recombinant human heavy-chain ferritin (rhFTH), achieving [...] Read more.
The use of Generally Recognized as Safe (GRAS)-grade microbial cell factories to produce recombinant protein-based nutritional products is a promising trend in developing food and health supplements. In this study, GRAS-grade Kluyveromyces marxianus was employed to express recombinant human heavy-chain ferritin (rhFTH), achieving a yield of 11 g/L in a 5 L fermenter, marking the highest yield reported for ferritin nanoparticle proteins to our knowledge. The rhFTH formed 12 nm spherical nanocages capable of ferroxidase activity, which involves converting Fe2+ to Fe3+ for storage. The rhFTH-containing yeast cell lysates promoted cytokine secretion (tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and -1β (IL-1β)) and enhanced locomotion, pharyngeal pumping frequency, egg-laying capacity, and lifespan under heat and oxidative stress in the RAW264.7 mouse cell line and the C. elegans model, respectively, whereas yeast cell lysate alone had no such effects. These findings suggest that rhFTH boosts immunity, holding promise for developing ferritin-based food and nutritional products and suggesting its adjuvant potential for clinical applications of ferritin-based nanomedicine. The high-yield production of ferritin nanoparticles in K. marxianus offers a valuable source of ferritin for the development of ferritin-based products. Full article
(This article belongs to the Section Nutraceuticals, Functional Foods, and Novel Foods)
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<p>Expression of rhFTH in <span class="html-italic">K. marxianus</span>. (<b>a</b>) SDS-PAGE and Western blot analyses of rhFTH expression in <span class="html-italic">K. marxianus</span>. The KM and KM-rhFTH strains are <span class="html-italic">K. marxianus</span> transformed with pUKDN125 and pUKDN125-rhFTH, respectively. The red arrow highlights the bands of rhFTH. Rabbit anti-ferritin monoclonal antibody and secondary antibody goat anti-rabbit IgG were used for Western blot. M: PageRuler prestained protein ladder; T: total cell lysate; S: supernatant of cell lysate; P: precipitate of cell lysate. (<b>b</b>) An orthogonal design with three factors at three levels, including (NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub> (5, 12, 18 g/L), glucose (10, 40, 60 g/L), and MgSO<sub>4</sub>·7H<sub>2</sub>O (0.5, 7, 10.5 g/L), was used to test the effects on soluble expression of rhFTH in SM medium in shake flasks at 220 rpm at 30 °C for 72 h. The soluble expression of rhFTH under different conditions was separately compared with that in SM medium. R: Range values of orthogonal design experiments. (<b>c</b>) Comparison of the soluble expressions of rhFTH in SM medium and the optimized SMO medium. (<b>d</b>–<b>f</b>) Effects of different concentrations of Triton X-100, NP-40, and Tween 20 in cell lysis solution on the recovery of soluble rhFTH. Statistical differences were analyzed using <span class="html-italic">t</span>-tests. * <span class="html-italic">p</span> &lt; 0.05; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001; <span class="html-italic">p</span> &gt; 0.05 (not significant, ns).</p>
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<p>Fermentation of KM-rhFTH strain and production of rhFTH in 5 L fermenters. (<b>a</b>–<b>c</b>) The fermentation was carried out in three 5 L fermenters fed with 1000 g (Tank F1), 1300 g (Tank F2), and 1500 g (Tank F3) of glucose. Cells were collected every 12 h, lysed after a 5-fold dilution, then subjected to SDS-PAGE analyses for the expression of soluble rhFTH. (<b>d</b>) The growth curves of KM-rhFTH strain in the three fermenters fed with different amounts of glucose. (<b>e</b>) Cell dry weights at 60 h and soluble yields of rhFTH at 72 h in the three fermenters. (<b>f</b>) Observation of rhFTH in the supernatant of the cell lysate collected from Tank F2 at 72 h by transmission electron microscopy. Bar, 100 nm.</p>
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<p>Purification and characterization of rhFTH produced by <span class="html-italic">K. marxianus</span>. (<b>a</b>) SDS-PAGE analysis of rhFTH purified by heat treatment coupled with DEAE chromatography. Lane M: PageRuler prestained protein ladder; Lane 1: Cell lysate supernatant of the KM-rhFTH; Lane 2: Heat-treated supernatant at 75 °C for 10 min; Lane 3: Elution fraction from DEAE column. (<b>b</b>) Native-PAGE. Lane 1: Cell lysate supernatant of the KM-rhFTH strain; Lane 2: Commercial recombinant ferritin expressed in <span class="html-italic">E. coli</span>; Lane 3: Purified rhFTH expressed in <span class="html-italic">K. marxianus</span>; Lane 4: Cell lysate supernatant of the <span class="html-italic">K. marxianus</span> host strain. (<b>c</b>) TEM analysis of purified rhFTH. Scale bar: 50 nm. (<b>d</b>) Iron uptake of the purified rhFTH. The experiments were carried out in solutions containing a fixed concentration of 0.3 mg/mL rhFTH and 0.25, 0.5, and 1 mM FeSO<sub>4</sub>, respectively. The reaction was performed at room temperature for a total of 30 min, and absorbance values at A<sub>310</sub> nm were obtained every 2 s. The initial absorbance was subtracted to obtain ΔA<sub>310</sub> nm. (<b>e</b>) Analysis of iron content in rhFTH by ICP-MS. (<b>f</b>) Analysis of iron release from rhFTH by the ferrozine method. Incubation with FeSO<sub>4</sub> was conducted at a concentration of 1 mM.</p>
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<p>Effects of rhFTH-containing yeast cell lysates on the proliferation and cytokine secretion of RAW264.7 macrophage cell line after 24 h incubation with different treatments. Blank: culture medium; Control: host <span class="html-italic">K. marxianus</span> cell lysate without human ferritin; rhFTH: rhFTH contained in cell lysate; LPS: Lipopolysaccharide at 1 µg/L as the positive control. The biomass of the control host strain was adjusted to an OD<sub>600</sub> equivalent to that of cell lysates containing 250, 500, 750, and 1000 µg/mL rhFTH. (<b>a</b>) Proliferation of the RAW264.7 cell line. (<b>b</b>) Secretion of IL-6 by the RAW264.7 cell line. (<b>c</b>) Secretion of TNF-α by the RAW264.7 cell line. (<b>d</b>) Secretion of IL-1β by the RAW264.7 cell line. Six replicates were set up for each group. Statistical analysis was performed using <span class="html-italic">t</span>-tests to determine significant differences, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Analysis of biological function of rhFTH-containing yeast cell lysates on the <span class="html-italic">C. elegans</span> model. Blank: culture medium; Control 1: host <span class="html-italic">K. marxianus</span> cell lysate without human ferritin, and the biomass of the control host strain was adjusted to an OD<sub>600</sub> equivalent to that of cell lysates containing 0.5 mg/mL rhFTH; Control 2: host <span class="html-italic">K. marxianus</span> cell lysate without human ferritin, and the biomass of the control host strain was adjusted to an OD<sub>600</sub> equivalent to that of cell lysates containing 2.0 mg/mL rhFTH; rhFTH 1: 0.5 mg/mL rhFTH contained in cell lysate; rhFTH 2: 2 mg/mL rhFTH contained in cell lysate. (<b>a</b>) Proportion of well-motile nematode within 30 s at day 0, 5, 10, and 15. (<b>b</b>) Pharyngeal pumping frequency of nematodes within 1 min. (<b>c</b>) Total spawning number of nematodes. (<b>d</b>) Survival curves of nematodes under normal culture conditions (NGM, 20 °C). (<b>e</b>) Survival curves of nematodes under heat stress at 37 °C. (<b>f</b>) Survival curves of nematodes under H<sub>2</sub>O<sub>2</sub>-induced oxidative stress. (<b>g</b>) T-SOD activity. (<b>h</b>) CAT activity. (<b>i</b>) Quantization of ROS levels. (<b>j</b>) Analysis of the lipofuscin map. Statistical differences were analyzed using <span class="html-italic">t</span>-tests. * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001.</p>
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12 pages, 4354 KiB  
Article
The Alligator and the Mosquito: North American Crocodilians as Amplifiers of West Nile Virus in Changing Climates
by Desiree Kirsten Andersen, Gracie Ann Fischer and Leigh Combrink
Microorganisms 2024, 12(9), 1898; https://doi.org/10.3390/microorganisms12091898 (registering DOI) - 14 Sep 2024
Viewed by 399
Abstract
In an age of emerging zoonoses, it is important to understand the intricate system of vectors and reservoirs, or hosts, and their relation to humans. West Nile Virus (WNV) has been detected in a myriad of nonhuman hosts. Transmission of the virus to [...] Read more.
In an age of emerging zoonoses, it is important to understand the intricate system of vectors and reservoirs, or hosts, and their relation to humans. West Nile Virus (WNV) has been detected in a myriad of nonhuman hosts. Transmission of the virus to humans is reliant on amplified seroprevalence within the host, which occurs primarily in birds. However, recent studies have found that other animal groups, including crocodilians, can obtain seroprevalence amplification to levels that make them competent hosts able to transmit WNV to mosquitoes, which can then transmit to humans. Climate change could exacerbate this transmission risk by shifting the distributions of mosquito vectors towards novel geographic ranges. Here, we use maximum entropy models to map the current and future distributions of three mosquito vector species and four crocodilian species in North America to determine the emerging risk of WNV outbreaks associated with changing climates and WNV associated with crocodilians in North America. From our models, we determined that one mosquito species in particular, Culex quinquefasciatus, will increase its distribution across the ranges of all crocodilian species in all tested climate change scenarios. This poses a potential risk to public health for people visiting and living near crocodilian farms and high-density natural crocodilian populations. Full article
(This article belongs to the Special Issue Pathogen Infection in Wildlife 2.0)
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<p>Crocodilian distributions in North America. <span class="html-italic">Alligator mississippiensis</span> is represented by teal, <span class="html-italic">Caiman crocodilus</span> by dark blue, <span class="html-italic">Crocodylus acutus</span> by cross-hatching, and <span class="html-italic">Crocodylus moreletii</span> by orange. Image credits: Desiree Andersen (<span class="html-italic">Alligator mississippiensis</span>, <span class="html-italic">Crocodylus acutus</span>), Gautier Poupeau (<span class="html-italic">Crocodylus moreletii</span>; Creative Commons Attribution-Share Alike 3.0 Unported license; <a href="https://commons.wikimedia.org/wiki/File:Crocodile_de_Morelet.jpeg" target="_blank">https://commons.wikimedia.org/wiki/File:Crocodile_de_Morelet.jpeg</a>, accessed on 4 August 2024), and Gail Hampshire (<span class="html-italic">Caiman crocodylus</span>; Creative Commons Attribution 2.0 Generic license; <a href="https://commons.wikimedia.org/wiki/File:Caiman_crocodilus._Spectacled_Caiman_%2842253684125%29.jpg" target="_blank">https://commons.wikimedia.org/wiki/File:Caiman_crocodilus._Spectacled_Caiman_%2842253684125%29.jpg</a>, accessed on 4 August 2024).</p>
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<p>Modeling flow and components of this study.</p>
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<p>Crocodilian distribution (dark gray) overlaid with three West Nile Virus vector Culex mosquito species’ distributions, representing the greatest overlap for all climate change projections.</p>
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<p>Percent of <span class="html-italic">Alligator mississippiensis</span> distribution overlapped with <span class="html-italic">Culex quiquefasciatus</span> through 2100 for four Shared Socioeconomic Pathways (climate change scenarios) and two climate models.</p>
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<p>Estimated mosquito richness across North America overlaid with locations of crocodilian farms. Crocodilian farms are categorized as entertainment (or tourism), commercial (hide/meat/hunt), both (entertainment and commercial), or other. Crocodilian farms are listed in <a href="#app1-microorganisms-12-01898" class="html-app">Table S9</a>.</p>
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16 pages, 1064 KiB  
Article
Invasive Glossy Buckthorn (Frangula alnus) Has Weak Impact on Native Understory Plant and Saprophagous Macroarthropod Communities
by Gabrielle Roberge, Ira Tanya Handa, Tristan Juette and Daniel Kneeshaw
Diversity 2024, 16(9), 584; https://doi.org/10.3390/d16090584 (registering DOI) - 14 Sep 2024
Viewed by 204
Abstract
Glossy buckthorn (Frangula alnus Miller) is an invasive alien plant species (IAPS) rapidly expanding in North America but is largely understudied compared to the common buckthorn (Rhamnus cathartica). Our study investigated the effects of a 27-year-old F. alnus invasion on [...] Read more.
Glossy buckthorn (Frangula alnus Miller) is an invasive alien plant species (IAPS) rapidly expanding in North America but is largely understudied compared to the common buckthorn (Rhamnus cathartica). Our study investigated the effects of a 27-year-old F. alnus invasion on native understory plant and saprophagous macroarthropod communities in a wet deciduous woodland in Southern Québec, Canada. We hypothesized a decreased taxonomic diversity and a change in community composition of both indicator taxa with increasing F. alnus density. The understory plant and saprophagous macroarthropod communities were characterized, respectively, through vegetation surveys and pitfall trapping across a density gradient of 43 plots invaded by F. alnus. Our results demonstrated that F. alnus did not exert a strong influence on species community composition, although the homogenization of understory plant communities was observed. Despite several decades of F. alnus invasion at our study site, the consequences on the selected indicator taxa were overall relatively small, suggesting that the magnitude of effects is variable. We suggest that further investigation at a larger scale should be performed to evaluate the effect of F. alnus on a broad diversity of indicators and understand any context dependency. Full article
(This article belongs to the Topic Plant Invasion)
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<p>Location of the study site, in L’Assomption, Québec, Eastern Canada.</p>
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<p>Redundancy analysis (see statistical output in <a href="#app1-diversity-16-00584" class="html-app">Table S1</a>) of percent cover of native understory plant species and environmental variables, according to each sampling plot (represented by dots). For each plot, density of <span class="html-italic">F. alnus</span> is represented by a gray gradient to visualize the degree of invasion, whereby pale plots have a lower density (0 individual m<sup>−2</sup>) and gradually increase to dark for high density plots (&gt;4 individual m<sup>−2</sup>). Plant species, in red, have been centered and transformed (Hellinger). Significant constraint variables (canopy cover, soil humidity, soil pH and density of <span class="html-italic">F. alnus</span>), in blue, have also been standardized, centered on 0.</p>
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<p>Redundancy analysis (see statistical output in <a href="#app1-diversity-16-00584" class="html-app">Table S2</a>) of average abundance of saprophagous macroarthropod communities and environmental variables across sampling plots (represented by dots). For each plot, density of <span class="html-italic">F. alnus</span> is represented by a gray gradient to visualize the degree of invasion, whereby pale dots have a lower density (0 individual m<sup>−2</sup>) and gradually increase to darker dots for high density plots (&gt;4 individual m<sup>−2</sup>). The species, in red, have been log-transformed to minimize the effect of very abundant species and the horseshoe effect. Significant constraint variables (soil humidity (%), woody debris cover (%), plant diversity (effective number of native plant species), and native understory plant cover (%)), in blue, were standardized, centered on 0, and vectors were scaled (×1.2) for better visualization.</p>
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14 pages, 809 KiB  
Article
Atlantic Canadians’ Sensory Perception of Couscous Made with Sugar Kelp (Saccharina latissma)
by Mackenzie Gorman, Laura Baxter, Rachael Moss and Matthew B. McSweeney
Foods 2024, 13(18), 2912; https://doi.org/10.3390/foods13182912 (registering DOI) - 14 Sep 2024
Viewed by 296
Abstract
Sugar kelp (Saccharina latissma) has many nutritional benefits and has been identified as a rich source of fibre, vitamins, and antioxidants. However, it is not regularly consumed in the Western world, and the sensory perception of foods containing sugar kelp must be [...] Read more.
Sugar kelp (Saccharina latissma) has many nutritional benefits and has been identified as a rich source of fibre, vitamins, and antioxidants. However, it is not regularly consumed in the Western world, and the sensory perception of foods containing sugar kelp must be investigated to increase acceptance in North America. This study evaluated consumers’ (n = 99) sensory perception of couscous with increasing amounts of sugar kelp (0% (control), 4%, 6%, 8%, and 10% wt/wt). Furthermore, consumers’ purchase intent, liking, and emotional response to couscous with added sugar kelp was evaluated with and without nutritional information. Sugar kelp at 6% incorporation did not impact the consumers’ liking scores (“Like Slightly” on the hedonic scale), but at 8% the consumers’ liking significantly decreased (“Neither Like nor Dislike”). The 8% and 10% levels of sugar kelp addition led to astringency, bitter, hard, brackish, fishy, and chewy attributes being perceived by the consumers. The consumers identified they preferred samples that had soft, savoury, salty, and bland flavours and disliked samples that were brackish and gritty. The nutritional information did not increase overall liking scores, purchase intent, or emotional response. However, the inclusion of sugar kelp in the couscous did lead to an increased selection of positive emotions like happy, joyful, pleasant, and enthusiastic. Overall, the consumers were interested in foods containing seaweed and believed they were nutritious. The results indicated that sugar kelp could be added to couscous up to 6% wt/wt without impacting overall liking. Full article
(This article belongs to the Special Issue Sensory and Consumer Science in the Green Transition)
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<p>Biplot based on the first two dimensions of the correspondence analysis for the samples and the sensory properties included in the CATA question.</p>
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<p>Penalty lift analysis based on the sensory terms and the overall liking of the samples. The filled bars (with dots) represent a negative impact on overall liking, and the unfilled bars represent a positive impact on overall liking. Only attributes that had a significant impact on overall liking are presented.</p>
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24 pages, 2008 KiB  
Review
A Review on the Arctic–Midlatitudes Connection: Interactive Impacts, Physical Mechanisms, and Nonstationary
by Shuoyi Ding, Xiaodan Chen, Xuanwen Zhang, Xiang Zhang and Peiqiang Xu
Atmosphere 2024, 15(9), 1115; https://doi.org/10.3390/atmos15091115 - 13 Sep 2024
Viewed by 222
Abstract
In light of the rapid Arctic warming and continuous reduction in Arctic Sea ice, the complex two-way Arctic–midlatitudes connection has become a focal point in recent climate research. In this paper, we review the current understanding of the interactive influence between midlatitude atmospheric [...] Read more.
In light of the rapid Arctic warming and continuous reduction in Arctic Sea ice, the complex two-way Arctic–midlatitudes connection has become a focal point in recent climate research. In this paper, we review the current understanding of the interactive influence between midlatitude atmospheric variability and Arctic Sea ice or thermal conditions on interannual timescales. As sea ice diminishes, in contrast to the Arctic warming (cooling) in boreal winter (summer), Eurasia and North America have experienced anomalously cold (warm) conditions and record snowfall (rainfall), forming an opposite oscillation between the Arctic and midlatitudes. Both statistical analyses and modeling studies have demonstrated the significant impacts of autumn–winter Arctic variations on winter midlatitude cooling, cold surges, and snowfall, as well as the potential contributions of spring–summer Arctic variations to midlatitude warming, heatwaves and rainfall, particularly focusing on the role of distinct regional sea ice. The possible physical processes can be categorized into tropospheric and stratospheric pathways, with the former encompassing the swirling jet stream, horizontally propagated Rossby waves, and transient eddy–mean flow interaction, and the latter manifested as anomalous vertical propagation of quasi-stationary planetary waves and associated downward control of stratospheric anomalies. In turn, atmospheric prevailing patterns in the midlatitudes also contribute to Arctic Sea ice or thermal condition anomalies by meridional energy transport. The Arctic–midlatitudes connection fluctuates over time and is influenced by multiple factors (e.g., continuous melting of climatological sea ice, different locations and magnitudes of sea ice anomalies, internal variability, and other external forcings), undoubtedly increasing the difficulty of mechanism studies and the uncertainty surrounding predictions of midlatitude weather and climate. In conclusion, we provide a succinct summary and offer suggestions for future research. Full article
(This article belongs to the Special Issue Arctic Atmosphere–Sea Ice Interaction and Impacts)
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<p>Per ten-year variation in the annual cycle of Arctic Sea ice extent with eight lowest sea ice years (e.g., 2007, 2011, 2012, 2016, 2018, 2019, 2020, 2021). Figure and Table is from the National Snow and Ice Data Center (NSIDC; <a href="https://nsidc.org/arcticseaicenews/charctic-interactive-sea-ice-graph/" target="_blank">https://nsidc.org/arcticseaicenews/charctic-interactive-sea-ice-graph/</a>, accessed on 1 June 2024) and ref. [<a href="#B28-atmosphere-15-01115" class="html-bibr">28</a>].</p>
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<p>Schematic diagram of how the autumn (<b>a</b>) EsCB and (<b>b</b>) BK sea ice loss affects winter Eurasian temperature anomalies. Shadings in cylindrical equidistant and polar projection maps denote air temperature anomalies at 1000 hPa and sea ice anomalies, respectively. Red (blue) represents positive (negative) anomalies. Contours in cylindrical equidistant and polar projection maps denote geopotential anomalies at 1000 and 500 hPa, respectively. Dots denote more frequent extreme low temperatures. Black arrows denote the horizontal propagation of planetary waves. Orange (green) empty arrows denote stratospheric (tropospheric) pathways.</p>
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<p>Schematic diagram of the connections between summer Arctic changes and midlatitude temperature and precipitation anomalies. Shadings denote air temperature anomalies at 1000 hPa. Red (blue) represents positive (negative) anomalies. Contours denote geopotential anomalies at 500 hPa. Green (brown) dots denote excessive (deficient) rainfall. Black arrows denote the horizontal propagation of planetary waves.</p>
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<p>A brief synopsis of the Arctic–midlatitudes connection: interactive impacts, possible physical mechanisms (tropospheric and stratospheric pathways), and nonstationary. BK Seas denotes Barents–Kara Seas, EsCB Seas denotes East Siberian–Chukchi–Beaufort Seas, NA denotes North Atlantic, NP denotes North Pacific, AO/NAO denotes Arctic/North Atlantic Oscillation, UB denotes Ural blocking, PNA denotes Pacific–North American, ENSO denotes El Niño–Southern Oscillation, and MJO denotes Madden–Julian Oscillation.</p>
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19 pages, 586 KiB  
Review
Recent Occurrence, Diversity, and Candidate Vaccine Virus Selection for Pandemic H5N1: Alert Is in the Air
by Yordanka Medina-Armenteros, Daniela Cajado-Carvalho, Ricardo das Neves Oliveira, Milena Apetito Akamatsu and Paulo Lee Ho
Vaccines 2024, 12(9), 1044; https://doi.org/10.3390/vaccines12091044 - 12 Sep 2024
Viewed by 471
Abstract
The prevalence of the highly pathogenic avian influenza virus H5N1 in wild birds that migrate all over the world has resulted in the dissemination of this virus across Asia, Europe, Africa, North and South America, the Arctic continent, and Antarctica. So far, H5N1 [...] Read more.
The prevalence of the highly pathogenic avian influenza virus H5N1 in wild birds that migrate all over the world has resulted in the dissemination of this virus across Asia, Europe, Africa, North and South America, the Arctic continent, and Antarctica. So far, H5N1 clade 2.3.4.4.b has reached an almost global distribution, with the exception of Australia and New Zealand for autochthonous cases. H5N1 clade 2.3.4.4.b, derived from the broad-host-range A/Goose/Guangdong/1/96 (H5N1) lineage, has evolved, adapted, and spread to species other than birds, with potential mammal-to-mammal transmission. Many public health agencies consider H5N1 influenza a real pandemic threat. In this sense, we analyzed H5N1 hemagglutinin sequences from recent outbreaks in animals, clinical samples, antigenic prototypes of candidate vaccine viruses, and licensed human vaccines for H5N1 with the aim of shedding light on the development of an H5N1 vaccine suitable for a pandemic response, should one occur in the near future. Full article
(This article belongs to the Special Issue Immunity to Influenza Viruses and Vaccines)
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<p>Influenza A (H5N1) lethality in humans by clade. Influenza A (H5N1) lethality in humans by clade (numbers in white). The colored sectors indicate the fraction of total cases (N = 30) in each clade: 2.3.2.1a (orange; N = 2), 2.3.2.1c (red; N = 11), 2.3.4.4b (blue; N = 15), and not reported (gray; N = 2). The percentages in each sector show the percent mortality relative to the number of cases in each clade. The period of analysis was from July 2021 to June 2024.</p>
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36 pages, 13403 KiB  
Article
Mapping Transmission Dynamics and Drug Resistance Surveillance in the Cyprus HIV-1 Epidemic (2017–2021)
by Cicek Topcu, Bram Vrancken, Johana Hezka Rodosthenous, David van de Vijver, Georgios Siakallis, Philippe Lemey and Leondios G. Kostrikis
Viruses 2024, 16(9), 1449; https://doi.org/10.3390/v16091449 - 11 Sep 2024
Viewed by 325
Abstract
The human immunodeficiency virus type 1 (HIV-1) epidemic has been a major public health threat on a global scale since the early 1980s. Despite the introduction of combination antiretroviral therapy (cART), the incidence of new HIV-1 infections continues to rise in some regions [...] Read more.
The human immunodeficiency virus type 1 (HIV-1) epidemic has been a major public health threat on a global scale since the early 1980s. Despite the introduction of combination antiretroviral therapy (cART), the incidence of new HIV-1 infections continues to rise in some regions around the world. Thus, with the continuous transmission of HIV-1 and the lack of a cure, it is imperative for molecular epidemiological studies to be performed, to monitor the infection and ultimately be able to control the spread of this virus. This work provides a comprehensive molecular epidemiological analysis of the HIV-1 infection in Cyprus, through examining 305 HIV-1 sequences collected between 9 March 2017 and 14 October 2021. Employing advanced statistical and bioinformatic techniques, the research delved deeply into understanding the transmission dynamics of the HIV-1 epidemic in Cyprus, as well as the monitoring of HIV-1’s genetic diversity and the surveillance of transmitted drug resistance. The characterization of Cyprus’s HIV-1 epidemic revealed a diverse landscape, comprising 21 HIV-1 group M pure subtypes and circulating recombinant forms (CRFs), alongside numerous uncharacterized recombinant strains. Subtypes A1 and B emerged as the most prevalent strains, followed by CRF02_AG. The findings of this study also revealed high levels of transmitted drug resistance (TDR) patterns, raising concerns for the efficacy of cART. The demographic profiles of individuals involved in HIV-1 transmission underscored the disproportionate burden borne by young to middle-aged Cypriot males, particularly those in the MSM community, who reported contracting the virus in Cyprus. An assessment of the spatiotemporal evolutionary dynamics illustrated the global interconnectedness of HIV-1 transmission networks, implicating five continents in the dissemination of strains within Cyprus: Europe, Africa, Asia, North America, and Oceania. Overall, this study advances the comprehension of the HIV-1 epidemic in Cyprus and highlights the importance of understanding HIV-1’s transmission dynamics through continuous surveillance efforts. Furthermore, this work emphasizes the critical role of state-of-the-art bioinformatics analyses in addressing the challenges posed by HIV-1 transmission globally, laying the groundwork for public health interventions aimed at curbing its spread and improving patient outcomes. Full article
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<p>Maximum likelihood (ML) phylogenetic tree analyses of 305 HIV-1 <span class="html-italic">pol</span> region nucleotide sequences sampled between 9 March 2017 and 14 October 2021 in Cyprus. The nucleotide sequences were isolated from 305 people with HIV-1 (PWH) and residing in Cyprus at the time of sampling. The phylogenetic analyses were conducted against a comprehensive reference data set encompassing all known HIV-1 group M subtypes (A, B, C, D, F, G, H, J, K, and L) and circulating recombinant forms (CRFs) (RIP Alignment 2020) sourced from the Los Alamos HIV Sequence Database (<a href="http://www.hiv.lanl.gov" target="_blank">http://www.hiv.lanl.gov</a> (accessed on 12 February 2024)). Additionally, the reference data set was augmented through Basic Local Alignment Search Tool (BLAST) analyses using the HIV BLAST tool available through the Los Alamos HIV Sequence Database (<a href="http://www.hiv.lanl.gov/content/sequence/BASIC_BLAST/basic_blast.html" target="_blank">www.hiv.lanl.gov/content/sequence/BASIC_BLAST/basic_blast.html</a> (accessed on 12 February 2024)). The molecular clusters were defined based on previously established parameters of a genetic distance threshold of 0.045 and a bootstrap support threshold of 70%. The colored circles at the tips of the branches denote the respective risk factor and reference sequence associated with each HIV-1 subtype and CRF. Moreover, the identified HIV-1 molecular clusters are distinctly highlighted and color-coded at the periphery of the phylogenetic tree, in accordance with the HIV-1 genotypic subtypes determined by the REGA HIV-1 subtyping tool, version 3.0 (REGA 3.0) [<a href="#B31-viruses-16-01449" class="html-bibr">31</a>]. Each designated subtype is labeled adjacent to its corresponding HIV-1 molecular cluster. The acronyms used in the figure are as follows: MSM, men who have sex with men; HBC, homo-/bisexual contact; HC, heterosexual contact; PWID, people who inject drugs; TR, blood transfusion.</p>
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<p>Time-scaled migration history derived from data sets utilized to reconstruct the spread history of (<b>A</b>) subtype A1, (<b>B</b>) subtype B, and (<b>C</b>) CRF02_AG. The gray tips correspond to reference sequences obtained from NCBI GenBank (accessed on 22 February 2024) [<a href="#B42-viruses-16-01449" class="html-bibr">42</a>]. Sequences that are part of a transmission cluster are indicated by dark pink squares (subtype A1) and dark green squares (subtype B) and cohort sequences that are not part of a transmission cluster by light pink circles (subtype A1), light green circles (subtype B) and blue circles (CRF02_AG).</p>
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<p>Time-scaled migration history derived from data sets utilized to reconstruct the spread history of (<b>A</b>) subtype A1, (<b>B</b>) subtype B, and (<b>C</b>) CRF02_AG. The gray tips correspond to reference sequences obtained from NCBI GenBank (accessed on 22 February 2024) [<a href="#B42-viruses-16-01449" class="html-bibr">42</a>]. Sequences that are part of a transmission cluster are indicated by dark pink squares (subtype A1) and dark green squares (subtype B) and cohort sequences that are not part of a transmission cluster by light pink circles (subtype A1), light green circles (subtype B) and blue circles (CRF02_AG).</p>
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<p>Identification of transmission clusters (TCs). The figure illustrates the identification of TCs based on stringent criteria, with a posterior support threshold of 90% and a minimum proportionate time spent in trait of 90%. Based on these criteria, sixteen distinct TCs have been discerned in this analysis: six attributed to subtype A1 (clusters 1–6), six to subtype B (clusters 7–12), and one each for subtypes F1 (cluster 13), CRF91_cpx (clusters 14–15), CRF130_A1B (cluster 16), and CRF138_cpx (cluster 17). Notably, the examination of recombinant strains entailed the separate analysis of non-recombinant regions. This approach led to the detection of two transmission clusters within the CRF02_AG (cluster 14) and subtype G (cluster 15) regions of the CRF91_cpx strain. Each TC is systematically numbered based on the associated HIV-1 subtype, with further categorization reflecting the decreasing prevalence of men who have sex with men (MSM) within the clusters of each subtype. Active TCs are distinctly highlighted in light blue, while clusters exhibiting ongoing activity within the past five years are delineated by dark blue rectangles, providing a temporal context for the depth of each cluster. The visual representation is enriched by the incorporation of colored circles at the tree tips, denoting the risk group, while squares symbolize the country of sampling (refer to the color code at the bottom of the figure). The acronyms used in the figure are as follows: MSM, men who have sex with men; HBC, homo-/bisexual contact; HC, heterosexual contact; PWID, people who inject drugs.</p>
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<p>A comprehensive depiction of the epidemiological and demographic attributes associated with the identified transmission clusters (TCs). Within each TC, detailed insights are offered into the epidemiological information, including the (<b>A</b>) age distribution, (<b>B</b>) gender composition, (<b>C</b>) risk group affiliations, and demographic features, including the (<b>D</b>) residential location, (<b>E</b>) country of origin, (<b>F</b>) country of infection, and (<b>G</b>) country of sampling. The color coding is described below each graphical scheme. The acronyms used in the figure are as follows: MSM, men who have sex with men; HBC, homo-/bisexual contact; PWID, people who inject drugs.</p>
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<p>Transmission clusters (TCs) of subtypes A1 and B. The largest TCs associated with the two most prevalent HIV-1 subtypes in Cyprus, subtype A1 (Cluster 1) and subtype B (Cluster 9), are illustrated. Clusters exhibiting ongoing activity within the past five years are delineated by dark blue rectangles, providing a temporal context for the depth of each cluster. The visual representation is enriched by the incorporation of colored circles at the tree tips, denoting the risk group, while squares symbolize the country of sampling, country of origin, and country of infection, respectively (refer to the color code at the bottom of the figure). The acronyms used in the figure are as follows: MSM, men who have sex with men; HBC, homo-/bisexual contact; HC, heterosexual contact.</p>
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<p>Cartographic representation of the transmission dynamics of HIV-1 (<b>A</b>) subtype A1, (<b>B</b>) subtype B, and (<b>C</b>) CRF02_AG between Cyprus and other continents. The geographic origins of these HIV-1 strains imported into Cyprus are depicted with red lines, while exports from Cyprus to other continents are illustrated with yellow lines. Continents serving as either “sources” or “sinks” for the transmission of these HIV-1 strains are highlighted and labeled accordingly. Additionally, the figure provides estimates of the average number of migration events between continents, offering insights into the intercontinental dissemination patterns. Map images courtesy of Google Earth Pro 7.3.2.5776 and 7.3.4.8642 (14 December 2015). Global view centered on North and South America (<b>left</b>), 5°49′53.21″ N 81°12′52.44″ W, Eye alt 9503.85 km. Europe (<b>middle</b>), 36°16′38.78″ N 36°07′29.71″ E, Eye alt 7949.12 km. South-Eastern Asia and Oceania (<b>right</b>), 1°14′19.88″ N 112°15′56.16″ E, Eye alt 11201.60 km. US Dept. of State Geographer, DATA SIO, NOAA, U.S. Navy, NGA, and GEBCO. Image Landsat/Copernicus. 2018 and 2023 © Google. <a href="https://www.google.com/earth/versions/#earth-pro" target="_blank">https://www.google.com/earth/versions/#earth-pro</a> (accessed on 10 April 2019 and 16 July 2023).</p>
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<p>The overall prevalence of drug resistance-associated mutations identified among 305 HIV-1 <span class="html-italic">pol</span> region nucleotide sequences sampled between 9 March 2017 and 14 October 2021 in Cyprus. The graphical demonstration denotes the drug resistance-associated mutations identified within the <span class="html-italic">protease</span>, <span class="html-italic">reverse transcriptase</span>, and <span class="html-italic">integrase</span> (<span class="html-italic">PR</span>, <span class="html-italic">RT</span>, and <span class="html-italic">IN</span>) domains of HIV-1 group M subtypes, circulating recombinant forms (CRF), and recombinant strains, using the HIVdb Program of the Stanford University HIV Drug Resistance Database [<a href="#B32-viruses-16-01449" class="html-bibr">32</a>]. The <span class="html-italic">x</span>-axis delineates the drug resistance-associated mutations pertaining to the nucleoside reverse transcriptase inhibitors (NRTIs), non-nucleoside reverse transcriptase inhibitors (NNRTIs), protease inhibitors (PIs), and integrase strand transfer inhibitors (INSTIs). Each mutation identified against these classes of antiretroviral drugs is visually represented with distinct color coding: NRTI mutations are depicted in blue, NNRTI mutations in green, PI mutations in pink, and INSTI mutations in purple. The <span class="html-italic">y</span>-axis quantifies the frequency of occurrence for each mutation within the cohort, as denoted by the numerical values positioned atop each bar. Notably, mutations encased within rectangular boxes signify major drug resistance mutations, as defined by the Stanford University HIV Drug Resistance Database, while those not contained within these boxes are designated as accessory drug resistance mutations [<a href="#B64-viruses-16-01449" class="html-bibr">64</a>]. This classification scheme aids in discerning mutations of greater clinical significance from those with potentially lesser impacts on the drug resistance profiles.</p>
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<p>The overall prevalence of drug resistance levels against commercially available antiretroviral drugs identified among 305 HIV-1 <span class="html-italic">pol</span> region nucleotide sequences sampled between 9 March 2017 and 14 October 2021, in Cyprus. The graphical illustration delineates the extent of drug resistance against antiretroviral drugs categorized into (<b>A</b>) nucleoside reverse transcriptase inhibitors (NRTIs), (<b>B</b>) non-nucleoside reverse transcriptase inhibitors (NNRTIs), (<b>C</b>) protease inhibitors (PIs), and (<b>D</b>) integrase strand transfer inhibitors (INSTIs). The drug resistance levels are predicated on the drug resistance-associated mutations within the <span class="html-italic">protease</span>, <span class="html-italic">reverse transcriptase</span>, and <span class="html-italic">integrase</span> (<span class="html-italic">PR</span>, <span class="html-italic">RT</span>, and <span class="html-italic">IN</span>) domains of HIV-1 group M subtypes, circulating recombinant forms (CRF), and recombinant strains and were identified using the HIVdb Program of the Stanford University HIV Drug Resistance Database [<a href="#B32-viruses-16-01449" class="html-bibr">32</a>]. The four distinct levels of drug resistance, namely potential low-level resistance, low-level resistance, intermediate resistance, and high-level resistance, are visually represented with increasing intensity in color. Each level is color-coded to provide a clear representation of the escalating severity of the resistance. Across each graphical demonstration, the <span class="html-italic">x</span>-axis delineates the level of drug resistance against the commercially available antiretroviral drugs, while the <span class="html-italic">y</span>-axis quantifies the frequency of occurrence for each resistance level pertaining to each antiretroviral drug.</p>
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20 pages, 7741 KiB  
Article
Upscaling Natural Materials in Construction: Earthen, Fast-Growing, and Living Materials
by Olga Beatrice Carcassi, Roberta Salierno, Pietro Augusto Falcinelli, Ingrid Maria Paoletti and Lola Ben-Alon
Sustainability 2024, 16(18), 7926; https://doi.org/10.3390/su16187926 - 11 Sep 2024
Viewed by 396
Abstract
Despite the numerous advantages of using natural materials, such as fast-growing, living, and earthen materials, their widespread application in the construction industry remains limited. This research presents a perception survey, which investigates stakeholders’ perceptions regarding the market, regulatory barriers, and educational barriers, exploring [...] Read more.
Despite the numerous advantages of using natural materials, such as fast-growing, living, and earthen materials, their widespread application in the construction industry remains limited. This research presents a perception survey, which investigates stakeholders’ perceptions regarding the market, regulatory barriers, and educational barriers, exploring experiences, motivations, and attitudes toward the adoption of natural materials in construction projects. The results capture variations in current practices and identify patterns for future directions, analyzed in a comparative manner to assess two geographical regions: Europe and North America. The results show that contractor availability, a lack of professional knowledge (mostly in Europe), and cost-to-value perceptions (mostly in the USA) are key barriers to adopting natural materials. The lack of awareness among construction professionals regarding technical aspects highlights the need for targeted training, while the lack of regulatory distinction between living and earth-based materials underscores the need for harmonized policies. By elucidating stakeholders’ perspectives and identifying key challenges, this research aims to inform policymaking, industry practices, and research initiatives aimed at promoting the use of a wider lexicon of construction materials. Ultimately, this study hopes to facilitate the development of strategies to overcome scalability challenges and accelerate the transition toward their implementation in mainstream projects. Full article
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<p>Current utilization of earthen materials in the construction sector.</p>
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<p>Current utilization of fast-growing materials in the construction sector.</p>
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<p>Current utilization of living materials in the construction sector.</p>
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<p>AI-generated image of natural buildings for survey analysis. Digital image. Accessed via MidJourney platform, <a href="https://www.midjourney.com" target="_blank">https://www.midjourney.com</a> and <a href="https://discord.com" target="_blank">https://discord.com</a>, accessed on 5 August 2024.</p>
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<p>Distribution of survey respondents (<b>a</b>) per stakeholder type and location (Europe vs. the United States), and (<b>b</b>) per material familiarity.</p>
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<p>Survey responses analysis per (<b>a</b>) market barriers, (<b>b</b>) policy/regulatory barriers and (<b>c</b>) training/education barriers.</p>
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<p>Survey response analysis for material barriers per normalized scores.</p>
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<p>Survey response analysis for policy-regulatory barriers per normalized scores.</p>
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<p>Survey response analysis for training/education barriers per normalized scores.</p>
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<p>Survey response analysis of the imaginary futures of these materials.</p>
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54 pages, 8679 KiB  
Article
Geospatial and Temporal Patterns of Natural and Man-Made (Technological) Disasters (1900–2024): Insights from Different Socio-Economic and Demographic Perspectives
by Vladimir M. Cvetković, Renate Renner, Bojana Aleksova and Tin Lukić
Appl. Sci. 2024, 14(18), 8129; https://doi.org/10.3390/app14188129 - 10 Sep 2024
Viewed by 1477
Abstract
This pioneering study explores the geospatial and temporal patterns of natural and human-induced disasters from 1900 to 2024, providing essential insights into their global distribution and impacts. Significant trends and disparities in disaster occurrences and their widespread consequences are revealed through the utilization [...] Read more.
This pioneering study explores the geospatial and temporal patterns of natural and human-induced disasters from 1900 to 2024, providing essential insights into their global distribution and impacts. Significant trends and disparities in disaster occurrences and their widespread consequences are revealed through the utilization of the comprehensive international EM-DAT database. The results showed a dramatic escalation in both natural and man-made (technological) disasters over the decades, with notable surges in the 1991–2000 and 2001–2010 periods. A total of 25,836 disasters were recorded worldwide, of which 69.41% were natural disasters (16,567) and 30.59% were man-made (technological) disasters (9269). The most significant increase in natural disasters occurred from 1961–1970, while man-made (technological) disasters surged substantially from 1981–1990. Seasonal trends reveal that floods peak in January and July, while storms are most frequent in June and October. Droughts and floods are the most devastating in terms of human lives, while storms and earthquakes cause the highest economic losses. The most substantial economic losses were reported during the 2001–2010 period, driven by catastrophic natural disasters in Asia and North America. Also, Asia was highlighted by our research as the most disaster-prone continent, accounting for 41.75% of global events, with 61.89% of these events being natural disasters. Oceania, despite experiencing fewer total disasters, shows a remarkable 91.51% of these as natural disasters. Africa is notable for its high incidence of man-made (technological) disasters, which constitute 43.79% of the continent’s disaster events. Europe, representing 11.96% of total disasters, exhibits a balanced distribution but tends towards natural disasters at 64.54%. Examining specific countries, China, India, and the United States emerged as the countries most frequently affected by both types of disasters. The impact of these disasters has been immense, with economic losses reaching their highest during the decade of 2010–2020, largely due to natural disasters. The human toll has been equally significant, with Asia recording the most fatalities and Africa the most injuries. Pearson’s correlation analysis identified statistically significant links between socioeconomic factors and the effects of disasters. It shows that nations with higher GDP per capita and better governance quality tend to experience fewer disasters and less severe negative consequences. These insights highlight the urgent need for tailored disaster risk management strategies that address the distinct challenges and impacts in various regions. By understanding historical disaster patterns, policymakers and stakeholders can better anticipate and manage future risks, ultimately safeguarding lives and economies. Full article
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<p>Geospatial distribution of natural and man-made (technological) disasters by continent (1900–2024).</p>
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<p>Geospatial distribution of natural and man-made (technological) disasters by continent (1900–2024).</p>
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<p>Distribution of individual natural and man-made (technological) disasters by continent (1900–2024).</p>
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<p>Distribution of total disasters by country (Rang, with red numbers) in percentage for the period 1900–2024.</p>
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<p>Distribution of total, natural, and man-made (technological) disasters for the top five countries (Rang) for the period 1900–2024.</p>
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<p>Distribution of total, natural, and man-made (technological) disasters by country (1900–2024).</p>
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<p>Temporal analysis of natural and man-made (technological) disasters in 10-year intervals (1900–2024).</p>
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<p>Temporal analysis of natural and man-made (technological) disasters in 5-year intervals (1900–2024).</p>
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<p>Total number of different natural and man-made (technological) disasters worldwide by decade (1900–2024).</p>
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<p>Total number of different natural and man-made (technological) disasters by 5-year periods (1900–2024).</p>
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<p>Consequences of natural and man-made (technological) disasters by decades (1900–2024).</p>
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<p>Consequences of natural and man-made (technological) disasters by 5-year periods (1900–2024).</p>
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<p>Percentage distribution of natural and man-made (technological) disaster consequences by type (1900–2024).</p>
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19 pages, 3356 KiB  
Systematic Review
Exploring Community-Supported Agriculture through Maslow’s Hierarchy: A Systematic Review of Research Themes and Trends
by Xiaofan Tian, Ruifang Zhang, Zifan Wang, Xinna Kang and Zhixin Yang
Agriculture 2024, 14(9), 1568; https://doi.org/10.3390/agriculture14091568 - 10 Sep 2024
Viewed by 274
Abstract
Community-supported agriculture (CSA) has emerged as a pivotal model for sustainable and humanistic agricultural practices, emphasizing the symbiotic relationship between food production, consumption, and sustainable ecosystems. Despite the growing interest, a comprehensive analysis of research themes and trends within the CSA framework remains [...] Read more.
Community-supported agriculture (CSA) has emerged as a pivotal model for sustainable and humanistic agricultural practices, emphasizing the symbiotic relationship between food production, consumption, and sustainable ecosystems. Despite the growing interest, a comprehensive analysis of research themes and trends within the CSA framework remains sparse. This paper undertakes a systematic review of CSA literature from 1999 to 2023, identifying evolving research hotspots, dominant themes, and prospective directions by keyword analysis to corroborate Maslow’s hierarchy of needs theory. The research analysis location is categorized into four temporal phases, revealing a geographical expansion from North America to encompass Asia, Africa, and other continents. This expansion corroborates Maslow’s theory, illustrating a global shift from fulfilling basic physiological needs towards recognizing sustainable practices, particularly in developing regions. The results of temporal trends (5 phases) and the hotspots of keyword analysis support each other by showing a societal shift from basic sustenance to a deeper understanding of nutrition and diet. Most of the recent research keywords are grouped into the “environment” and “health and education” categories, indicating an increasing emphasis on transforming the food system and nutrition education. This review suggests conducting an integrated analysis that links the various stages of the food supply chain with the criteria outlined in the Sustainable Agriculture Matrix (SAM). It highlights that the “environment” theme is a stage of building up esteem and self-realization that needs to be unfolded in the future, given that most research on community-supported agriculture (CSA) focuses on the “economy and society” aspect and consumption stage, which burnish self-morality in the theory of Maslow. Overall, this review proposes an analysis of the relevance among different subject categories and between food supply chain stages, which reveals that the trend of research under CSA development is accorded to the theory of Maslow’s hierarchy of needs and calls for a more holistic approach to agricultural research that considers ecological, health, and social imperatives. Full article
(This article belongs to the Section Agricultural Economics, Policies and Rural Management)
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<p>Correspondence between community-supported agriculture and Maslow’s hierarchy of needs.</p>
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<p>PRISMA flow diagram.</p>
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<p>Temporal trend of reviewed articles over years.</p>
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<p>(<b>A</b>–<b>D</b>). Location trend of studies in this analysis during 1999–2023. (<b>A</b>). The location of studies during 1999–2005; (<b>B</b>). The shifts of studies locations during 2006–2012; (<b>C</b>). The shifts of studies locations 2013–2018; (<b>D</b>). The shifts of studies locations 2019–2023.</p>
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<p>Research topic distribution by SAM and supply chain stages.</p>
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<p>The distribution of keywords under different dimensions.</p>
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<p>Temporal trend of emerging keywords over time, especially in the past 22 years (2015–2019 &gt; 3). Data analysis is based on annual normalized frequency.</p>
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18 pages, 1448 KiB  
Article
Comparison of Cranial Cruciate Ligament Rupture Incidence among Parous and Nulliparous Rottweiler Bitches: Evidence from a Lifetime Cohort Study Supporting a Paradigm of Pregnancy-Associated Protection against Subsequent Non-Reproductive Disease Outcomes
by Andres E. Carrillo, Aimee H. Maras, Cheri L. Suckow, Emily C. Chiang and David J. Waters
Animals 2024, 14(17), 2608; https://doi.org/10.3390/ani14172608 - 7 Sep 2024
Viewed by 398
Abstract
Emerging evidence in women supports the notion that pregnancy may reset disease resistance, thereby providing protection against subsequent adverse health outcomes, but this hypothesis has not been adequately explored in domestic dogs. Cranial cruciate ligament (CCL) rupture is a degenerative orthopedic disease that [...] Read more.
Emerging evidence in women supports the notion that pregnancy may reset disease resistance, thereby providing protection against subsequent adverse health outcomes, but this hypothesis has not been adequately explored in domestic dogs. Cranial cruciate ligament (CCL) rupture is a degenerative orthopedic disease that frequently affects pet dogs, and its risk has been associated with disruption of the reproductive hormone axis. Our research team is conducting a lifetime cohort study of purebred Rottweilers in North America that have lived 30% longer than breed-average. Detailed medical and reproductive histories of 33 nulliparous and 32 parous Rottweilers were generated from questionnaires and review of medical records. Interviews with owners of bitches in the nulliparous group served to limit selection bias, confirming that in no instance was the reason for nulliparity based upon the owner’s suspicion that a bitch had a heightened risk for CCL rupture. The risk of CCL rupture associated with parity and other exposure variables was estimated using multivariate logistic regression. Overall, CCL rupture was diagnosed in 17 of 65 (26%) bitches. Median age at first litter and CCL rupture were 3.6 and 6.5 years, respectively. Compared to nulliparous, parous bitches had a significant 94% reduction in CCL rupture risk adjusted for duration of ovary exposure, overweight body condition, dietary pattern, habitual physical activity, and work/sport activity [ORadjusted (95% CI) = 0.06 (0.01–0.46); (p = 0.006)]. The observed parity-associated CCL rupture risk reduction remained robust in sensitivity analysis excluding six nulliparous bitches for which decision not to breed was based on diagnosis of hip or elbow dysplasia, conditions which may be genetically linked to CCL rupture [ORadjusted (95% CI) = 0.08 (0.01–0.58); (p = 0.01)]. This work sets the stage for replication studies in other canine populations that should begin to explore the mechanistic basis for parity-associated CCL rupture risk reduction and to pursue other non-reproductive health outcomes in bitches whose incidence or severity may be parity-sensitive. Full article
(This article belongs to the Special Issue Advances in Small Animal Endocrinology and Reproductive Physiology)
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<p>Flow chart of Rottweiler bitches included in the study sample after applying inclusion and exclusion criteria to the Exceptional Aging in Rottweilers Study (EARS) cohort (see <a href="#sec2dot1-animals-14-02608" class="html-sec">Section 2.1</a>).</p>
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<p>Histograms showing the frequency distribution of age at death (<b>a</b>), adult height (<b>b</b>), raw diet intake (<b>c</b>), and duration of ovary exposure (<b>d</b>) in 33 nulliparous and 32 parous bitches. Number above bar = number of bitches. Percentage reflects the proportion of bitches within the nulliparous or parous group.</p>
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<p>Histogram showing reason for nulliparity among the 33 bitches in the nulliparous group. Information to categorize reason for nulliparity was collected by conducting a standardized telephone interview with each owner. Eight categories of reason for nulliparity are shown. Interviews with owners confirmed that in no instances was reason for nulliparity based upon the owner’s suspicion that a bitch had heightened risk for cranial cruciate ligament (CCL) rupture. Number above bar = number of bitches. Percentage reflects the proportion of bitches in the nulliparous group.</p>
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18 pages, 9816 KiB  
Article
Temporal Dynamics of Global Barren Areas between 2001 and 2022 Derived from MODIS Land Cover Products
by Marinos Eliades, Stelios Neophytides, Michalis Mavrovouniotis, Constantinos F. Panagiotou, Maria N. Anastasiadou, Ioannis Varvaris, Christiana Papoutsa, Felix Bachofer, Silas Michaelides and Diofantos Hadjimitsis
Remote Sens. 2024, 16(17), 3317; https://doi.org/10.3390/rs16173317 - 7 Sep 2024
Viewed by 327
Abstract
Long-term monitoring studies on the transition of different land cover units to barren areas are crucial to gain a better understanding of the potential challenges and threats that land surface ecosystems face. This study utilized the Moderate Resolution Imaging Spectroradiometer (MODIS) land cover [...] Read more.
Long-term monitoring studies on the transition of different land cover units to barren areas are crucial to gain a better understanding of the potential challenges and threats that land surface ecosystems face. This study utilized the Moderate Resolution Imaging Spectroradiometer (MODIS) land cover products (MCD12C1) to conduct geospatial analysis based on the maximum extent (MaxE) concept, to assess the spatiotemporal changes in barren areas from 2001 to 2022, at global and continental scales. The MaxE area includes all the pixels across the entire period of observations where the barren land cover class was at least once present. The relative expansion or reduction of the barren areas can be directly assessed with MaxE, as any annual change observed in the barren distribution is comparable over the entire dataset. The global barren areas without any land change (UA) during this period were equivalent to 12.8% (18,875,284 km2) of the global land surface area. Interannual land cover changes to barren areas occurred in an additional area of 3,438,959 km2 (2.3% of the global area). Globally, barren areas show a gradual reduction from 2001 (91.1% of MaxE) to 2012 (86.8%), followed by annual fluctuations until 2022 (88.1%). These areas were mainly interchanging between open shrublands and grasslands. A relatively high transition between barren areas and permanent snow and ice is found in Europe and North America. The results show a 3.7% decrease in global barren areas from 2001 to 2022. Areas that are predominantly not barren account for 30.6% of the transitional areas (TAs), meaning that these areas experienced short-term or very recent transitions from other land cover classes to barren. Emerging barren areas hotspots were mainly found in the Mangystau region (Kazakhstan), Tibetan plateau, northern Greenland, and the Atlas Mountains (Morocco, Tunisia). Full article
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<p>Flowchart showing the methodological steps for deriving the annual land cover changes, the spatial transitions of barren areas to other land cover classes, and the transition occurrence. MaxE is the maximum extent of barren areas, UA is the unchanged barren area, and TA is the transitional area. Yellow squares indicate the input data, whereas the arrows and the green squares indicate the main processing steps and approaches. Red squares indicate the main outputs.</p>
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<p>Spatial extent of the first occurrence of the barren areas per year between 2001 and 2022.</p>
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<p>Global barren area per year.</p>
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<p>Transition occurrence of barren areas to other land cover classes.</p>
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<p>Spatial transitions of barren areas to other land cover classes.</p>
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<p>Global annual changes of the land cover over the maximum extent (MaxE) of barren area, expressed as percentages of the MaxE (<span class="html-italic">Y</span>-axis starts at 80% for better visualization of the land cover classes).</p>
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<p>Annual changes in the land cover over the maximum extent (MaxE) of barren area, expressed as percentages of the MaxE, for Africa (<b>a</b>), Asia (<b>b</b>), Australia (<b>c</b>), Europe (<b>d</b>), North America (<b>e</b>), and South America (<b>f</b>).</p>
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<p>Unchanged (yellow) and transitional (red) barren areas in Africa.</p>
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<p>Unchanged (yellow) and transitional (red) barren areas in Asia.</p>
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<p>Unchanged (yellow) and transitional (red) barren areas in Australia.</p>
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<p>Unchanged (yellow) and transitional (red) barren areas in Europe.</p>
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<p>Unchanged (yellow) and transitional (red) barren areas in North America.</p>
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<p>Unchanged (yellow) and transitional (red) barren areas in South America.</p>
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14 pages, 279 KiB  
Article
Race, Religion and the Medieval Norse Discovery of America
by Zachary J. Melton
Religions 2024, 15(9), 1084; https://doi.org/10.3390/rel15091084 - 6 Sep 2024
Viewed by 265
Abstract
In 1837, Danish philologist Carl Christian Rafn published Antiquitates Americanæ, which introduced Americans to the Vinland sagas—medieval texts that suggest that Norse explorers “discovered” North America around the turn of the first millennium. Rafn, who saw it as his mission to promote [...] Read more.
In 1837, Danish philologist Carl Christian Rafn published Antiquitates Americanæ, which introduced Americans to the Vinland sagas—medieval texts that suggest that Norse explorers “discovered” North America around the turn of the first millennium. Rafn, who saw it as his mission to promote Old Norse literature around the globe, presented some of his research in a way that would appeal to Anglo-American prejudices, particularly through the obsession with American Antiquities and the question of a pre-Columbian civilization. His conclusions and the Vinland sagas consequently entered the American racial and religious discourses. Like other discovery myths, the Vinland sagas were used by intellectuals to argue for an early white presence on the continent. Later that century, the Norse discovery was framed in religious terms as some white Americans attempted to replace the figure of Christopher Columbus with that of Leifur Eiriksson as the true discoverer of America. The ramifications of Rafn’s work and its reception can be seen in twentieth- and twenty-first-century representations of Vikings in American popular culture. Full article
(This article belongs to the Special Issue Race, Religion, and Nationalism in the 21st Century)
33 pages, 4256 KiB  
Article
Annual and Seasonal Patterns of Burned Area Products in Arctic-Boreal North America and Russia for 2001–2020
by Andrew A. Clelland, Gareth J. Marshall, Robert Baxter, Stefano Potter, Anna C. Talucci, Joshua M. Rady, Hélène Genet, Brendan M. Rogers and Susan M. Natali
Remote Sens. 2024, 16(17), 3306; https://doi.org/10.3390/rs16173306 - 5 Sep 2024
Viewed by 683
Abstract
Boreal and Arctic regions have warmed up to four times quicker than the rest of the planet since the 1970s. As a result, boreal and tundra ecosystems are experiencing more frequent and higher intensity extreme weather events and disturbances, such as wildfires. Yet [...] Read more.
Boreal and Arctic regions have warmed up to four times quicker than the rest of the planet since the 1970s. As a result, boreal and tundra ecosystems are experiencing more frequent and higher intensity extreme weather events and disturbances, such as wildfires. Yet limitations in ground and satellite data across the Arctic and boreal regions have challenged efforts to track these disturbances at regional scales. In order to effectively monitor the progression and extent of wildfires in the Arctic-boreal zone, it is essential to determine whether burned area (BA) products are accurate representations of BA. Here, we use 12 different datasets together with MODIS active fire data to determine the total yearly BA and seasonal patterns of fires in Arctic-boreal North America and Russia for the years 2001–2020. We found relatively little variability between the datasets in North America, both in terms of total BA and seasonality, with an average BA of 2.55 ± 1.24 (standard deviation) Mha/year for our analysis period, the majority (ca. 41%) of which occurs in July. In contrast, in Russia, there are large disparities between the products—GFED5 produces over four times more BA than GFED4s in southern Siberia. These disparities occur due to the different methodologies used; dNBR (differenced Normalized Burn Ratio) of short-term composites from Landsat images used alongside hotspot data was the most consistently successful in representing BA. We stress caution using GABAM in these regions, especially for the years 2001–2013, as Landsat-7 ETM+ scan lines are mistaken as burnt patches, increasing errors of commission. On the other hand, we highlight using regional products where possible, such as ABoVE-FED or ABBA in North America, and the Talucci et al. fire perimeter product in Russia, due to their detection of smaller fires which are often missed by global products. Full article
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<p>Map of study regions—North America (red), central/northern Siberia (blue), and southern Siberia (purple). The internal borders of each ecoregion in North America and central/northern Siberia are visible.</p>
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<p>Total BA (<b>a</b>) and box and whisker plot (<b>b</b>) for each dataset for the analysis period (2002–2016) in North America. The whiskers extend to 1.5 * Inter-Quartile Range. The mean of each dataset is given as the green triangle.</p>
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<p>Seasonality of North American fires, 2001–2016.</p>
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<p>Total BA (<b>a</b>) and box and whisker plot (<b>b</b>) for each dataset for the analysis period (2006–2016) in central/northern Siberia. The whiskers extend to 1.5 * Inter-Quartile Range. The mean of each dataset is given as the green triangle. “Talucci et al.” refers to the Talucci et al. (2022) fire perimeter product [<a href="#B63-remotesensing-16-03306" class="html-bibr">63</a>].</p>
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<p>(<b>a</b>) The “stripe” and “box” effects in GABAM shown in 2001 and (<b>b</b>) scan lines appearing as missing patches through burned areas in 2003 in the central/northern Siberia region.</p>
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<p>Seasonality of central/northern Siberian fires, 2001–2016. “Talucci et al.” refers to the Talucci et al. (2022) fire perimeter product [<a href="#B63-remotesensing-16-03306" class="html-bibr">63</a>].</p>
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<p>Total BA (<b>a</b>) and box and whisker plot (<b>b</b>) for each dataset for the analysis period (2001–2016) in southern Siberia. The whiskers extend to 1.5 * Inter-Quartile Range. The mean of each dataset is given as the green triangle.</p>
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<p>Seasonality of southern Siberian fires, 2001–2016.</p>
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18 pages, 3651 KiB  
Article
Reference Materials for Thermal Conductivity Measurements: European Situation
by Alain Koenen, Damien Marquis and Susanne Dehn
Buildings 2024, 14(9), 2795; https://doi.org/10.3390/buildings14092795 - 5 Sep 2024
Viewed by 350
Abstract
A reference material (RM), as defined by the International Vocabulary of Metrology (VIM 2012), must be homogeneous, stable, and suitable for use in measurements. Certified reference materials (CRMs) are RMs with documented property values, uncertainties, and traceability. ISO 17034:2018 outlines the requirements for [...] Read more.
A reference material (RM), as defined by the International Vocabulary of Metrology (VIM 2012), must be homogeneous, stable, and suitable for use in measurements. Certified reference materials (CRMs) are RMs with documented property values, uncertainties, and traceability. ISO 17034:2018 outlines the requirements for RM producers, ensuring that CRMs meet standards for stability, uniformity, and reproducibility. In Europe, CE marking, from French “conformité Européenne”, which means European conformity, has been mandatory for thermal insulation products since 2002, ensuring their thermal performance is verified by accredited laboratories using RMs like IRMM440 and ERM FC440. Annually, European manufacturers produce over 200 million cubic meters of thermal insulation, necessitating thousands of thermal conductivity measurements daily to maintain CE marking compliance. Key characteristics of Reference Materials include long-term stability, thermal conductivity within specified ranges, and minimal dependence on density, thickness, and applied load. Sample thickness must conform to apparatus specifications, and homogeneity must be quantified. Reference Materials must also have appropriate dimensions, surface smoothness, and manufacturability. The Joint Research Centre (JRC) Geel has produced two Reference Materials, IRMM 440 and ERM FC 440, with specific characteristics to meet these requirements. Both are glass wool fibers with low thermal conductivity and specific density and thickness. The qualification of RMs involves inter-laboratory comparisons to ensure the accuracy and traceability of thermal conductivity measurements. The European market’s organization, including the use of Reference Materials and CE marking, has significantly improved measurement consistency and product quality. This system has led to lower uncertainties in thermal conductivity measurements compared to North America, highlighting the impact of standardized RMs on industry practices. Future needs include developing RMs with lower conductivity and increased thickness to accommodate market trends towards super insulation materials and bio-based components, enhancing energy performance calculations for buildings. This paper will present the process of defining a reference material and how it affects the uncertainty level of the calculation of building energy performance. This level depends on the characteristics of the materials used, their implementation, and external factors, such as the weather, as well as the reference material used for calibration of all European thermal conductivity measurement devices. Full article
(This article belongs to the Section Building Energy, Physics, Environment, and Systems)
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<p>Thermal resistance, <span class="html-italic">R</span>, as a function of specimen thickness, <span class="html-italic">d</span>.</p>
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<p>Thermal resistance of white EPS with a density of 21.2 kg/m<sup>3</sup> as a function of the specimen thickness.</p>
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<p>Thermal resistance of white EPS with a density of 32.8 kg/m<sup>3</sup> as a function of the specimen thickness.</p>
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<p>Thermal resistance of a stone wool with a density of 44.1 kg/m<sup>3</sup> as a function of the specimen thickness.</p>
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<p>Variation of thermal conductivity with the density.</p>
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<p>Effect of moisture on thermal conductivity (wood fiber between 60 and 190 kg/m<sup>3</sup>).</p>
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<p>Moisture content in wood fiber product in mass percent (wood fiber between 60 and 190 kg/m<sup>3</sup>).</p>
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<p>Variation of thermal conductivity with temperature of IRMM 440 and ERM FC 440.</p>
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<p>Stability data on IRMM-440 over 12 years from [<a href="#B24-buildings-14-02795" class="html-bibr">24</a>].</p>
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<p>Stability data for IRMM-440 from [<a href="#B24-buildings-14-02795" class="html-bibr">24</a>].</p>
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<p>Thermal conductivity dispersion comparison between North America and Europe.</p>
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