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16 pages, 1020 KiB  
Article
Differential Dynamics and Roles of FKBP51 Isoforms and Their Implications for Targeted Therapies
by Silvia Martinelli, Kathrin Hafner, Maik Koedel, Janine Knauer-Arloth, Nils C. Gassen and Elisabeth B. Binder
Int. J. Mol. Sci. 2024, 25(22), 12318; https://doi.org/10.3390/ijms252212318 (registering DOI) - 16 Nov 2024
Abstract
The expression of FKBP5, and its resulting protein FKBP51, is strongly induced by glucocorticoids. Numerous studies have explored their involvement in a plethora of cellular processes and diseases. There is, however, a lack of knowledge on the role of the different RNA [...] Read more.
The expression of FKBP5, and its resulting protein FKBP51, is strongly induced by glucocorticoids. Numerous studies have explored their involvement in a plethora of cellular processes and diseases. There is, however, a lack of knowledge on the role of the different RNA splicing variants and the two protein isoforms, one missing functional C-terminal motifs. In this study, we use in vitro models (HeLa and Jurkat cells) as well as peripheral blood cells of a human cohort (N = 26 male healthy controls) to show that the two expressed variants are both dynamically upregulated following dexamethasone, with significantly earlier increases (starting 1–2 h after stimulation) in the short isoform both in vitro and in vivo. Protein degradation assays in vitro showed a reduced half-life (4 h vs. 8 h) of the shorter isoform. Only the shorter isoform showed a subnuclear cellular localization. The two isoforms also differed in their effects on known downstream cellular pathways, including glucocorticoid receptor function, macroautophagy, immune activation, and DNA methylation regulation. The results shed light on the difference between the two variants and highlight the importance of differential analyses in future studies with implications for targeted drug design. Full article
(This article belongs to the Section Biochemistry)
Show Figures

Figure 1

Figure 1
<p>FKBP5/51 transcription variants and isoforms: (<b>a</b>) Schematic view of the <span class="html-italic">FKBP5</span> locus on human chromosome 6 and the four splicing variants of the gene (adapted from <a href="http://gtexportal.org" target="_blank">gtexportal.org</a>). (<b>b</b>) Schematic view of FKBP51 isoform 1 and 2 protein structures and 3D structure models generated with the Swiss model repository server of the expasy portal (<a href="http://swissmodel.expasy.org" target="_blank">swissmodel.expasy.org</a> (accessed on 16 October 2024); [<a href="#B23-ijms-25-12318" class="html-bibr">23</a>]). Domains are indicated in black and experimentally validated domain-associated binding partners in blue. (<b>c</b>) Transcription variant-specific <span class="html-italic">FKBP5</span> expression throughout human tissues (adapted from <a href="http://gtexportal.org" target="_blank">gtexportal.org</a>; [<a href="#B13-ijms-25-12318" class="html-bibr">13</a>]). The data used for the analyses described in this figure were obtained from: <a href="http://www.gtexportal.org" target="_blank">www.gtexportal.org</a>, the GTEx Portal on 14 September 2023. The terms and conditions for the use of data and images can be found here: <a href="https://www.gtexportal.org/home/downloads/adult-gtex/overview" target="_blank">https://www.gtexportal.org/home/downloads/adult-gtex/overview</a>, accessed on 14 September 2023.</p>
Full article ">Figure 2
<p>Expression of FKBP5 splicing variants in HeLa cells: (<b>a</b>) RT-qPCR quantification of FKBP51 variants in unstimulated HeLa cells. (<b>b</b>) RT-qPCR quantification of FKBP51 variants, expressed as fold change in Dex-treated over vehicle-treated, normalized on the housekeeper YWHAZ of HeLa cells treated with 100 nM Dex or vehicle for 24 h. Two-way ANOVA with Geisser–Greenhouse correction (shown in the box) and Sidak’s multiple comparisons test (shown in the graph). Data shown as mean ± SEM. (<b>c</b>) Fold change in FKBP5 variants 1 and 4 over vehicle and normalized over YWHAZ at 0, 1, 3, 6, and 23 h after Dex stimulation. Mixed effects model with Geisser–Greenhouse correction (shown in the box) and Sidak’s multiple comparisons test (shown in the graph). Data shown as box-and-whisker plot (Tukey style). (<b>d</b>) Pulse-chase assay of FKBP51 isoform 1 and 2 of HeLa cells transfected with HaloTag<sup>®</sup>-tagged-isoform 1 or HaloTag<sup>®</sup>-tagged-isoform 2, pulsed with a fluorophore, and chased for 2, 4, 8, and 16 h. Dotted line indicates half-life of the protein. Quantifications were made from Western blots. * <span class="html-italic">p</span> &lt; 0.05. Two-way ANOVA (shown in the box) and Sidak’s multiple comparisons test (shown in the graph). Data shown as mean ± SEM. For all statistics * <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; 0.0001, ns = not significant.</p>
Full article ">Figure 3
<p>Differential pathway regulation of FKBP51 isoforms: (<b>a</b>) Epifluorescent and bright field imaging of HeLa cells transfected with GFP-control vector, GFP-tagged FKBP51 isoform 1 or GFP-tagged FKBP51 isoform 2 24 h prior to imaging. (<b>b</b>,<b>c</b>) GRE-driven reporter gene assay performed in HeLa cells transfected with (<b>b</b>) FKBP51 isoform 1, FKBP51 isoform 2 or an empty vector (ctr vector), or (<b>c</b>) in WT (expressing both isoform), full KO and Isoform 1 KO (iso1 KO) HeLa cells treated with 0.1 nM, 0.3 nM, 1 nM, 3 nM, 10 nM, 30 nM, 100 nM, or vehicle for 4 h. Two-way ANOVA (shown in the box) with Tukey multiple comparisons test (shown in the graph). * indicates comparison with control/WT and isoform 1/full KO, # indicates comparison between isoform 1 and isoform 2, and <span>$</span> refers to comparison between WT and iso 1 KO. (** &amp; ## &amp; <span>$</span><span>$</span> <span class="html-italic">p</span> &lt; 0.01, *** &amp; ### <span class="html-italic">p</span> &lt; 0.0005, **** &amp; #### <span class="html-italic">p</span> &lt; 0.0001, ns = not significant). (<b>d</b>) Representative Western blots for different pathway markers performed on lysates from HeLa cells transfected with FKBP51 isoform 1, FKBP51 isoform 2 or an empty vector (<b>e</b>–<b>j</b>) Quantification of Western blots analyses displayed in (<b>d</b>): (<b>e</b>) phosphorylated AKT (pAKT) normalized on total AKT, (<b>f</b>–<b>h</b>) autophagy markers, BECN1, ATG12 and LC3B-II/I; (<b>i</b>) phosphorylated DNMT (pDNMT) normalized on total DNMT; (<b>j</b>) phosphorylated NFAT (pNFAT) normalized on total NFAT from Jurkat cells transfected with FKBP51 isoform 1, FKBP51 isoform 2 or an empty vector; * <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; 0.0005, ns = not significant. Mann–Whitney test. Data shown as mean ± SEM.</p>
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15 pages, 6804 KiB  
Article
A Study on Pendant and Blackboard Asymmetric Lens LED Luminaires for Optimal Illumination in Classrooms
by Duong Thi Giang, Pham Hong Duong, Nguyen Van Quan, Tran Ngoc Thanh Trang and Tran Quoc Khanh
Sustainability 2024, 16(22), 10015; https://doi.org/10.3390/su162210015 (registering DOI) - 16 Nov 2024
Abstract
This study examines the transformative impact of integrating pendant asymmetric lens (PAL) and blackboard asymmetric lens (BAL) LED luminaires to enhance classroom lighting, with the goals of replicating the ambient effects of natural daylight and promoting energy efficiency. This research focuses on improving [...] Read more.
This study examines the transformative impact of integrating pendant asymmetric lens (PAL) and blackboard asymmetric lens (BAL) LED luminaires to enhance classroom lighting, with the goals of replicating the ambient effects of natural daylight and promoting energy efficiency. This research focuses on improving the quality of learning environments through uniform, soft, and diffused lighting, which mimics sky-like illumination while adhering to sustainable energy practices. Advanced asymmetric lens LED luminaires are employed to achieve optimal lighting distribution, as indicated by luminous intensity distribution curves. Comparative analyses in diverse educational settings reveal significant improvements in ceiling illuminance, ranging from 935 to 1000 lx, and workspace illuminance from 660 to 720 lx, with reduced glare (UGR < 10). This results in bright, visually comfortable spaces conducive to learning. Additionally, the PAL and BAL solutions outperform conventional lighting systems like stretched ceilings and lightboxes by maintaining clear overhead spaces, eliminating shadows, and offering cost-effective solutions. This successful integration demonstrates a notable advancement in the development of energy-efficient, visually comfortable educational environments, contributing to the goals of sustainability and improved well-being for both students and teachers. Full article
26 pages, 5031 KiB  
Review
g-C3N4-Based Heterojunction for Enhanced Photocatalytic Performance: A Review of Fabrications, Applications, and Perspectives
by Junxiang Pei, Haofeng Li, Dechao Yu and Dawei Zhang
Catalysts 2024, 14(11), 825; https://doi.org/10.3390/catal14110825 (registering DOI) - 16 Nov 2024
Abstract
Abstract: In recent years, photocatalysts have attracted wide attention in alleviating energy problems and environmental governance, among which, g-C3N4, as an ideal photocatalyst, has shown excellent application potential in achieving the sustainable development of energy. However, its photocatalytic performance [...] Read more.
Abstract: In recent years, photocatalysts have attracted wide attention in alleviating energy problems and environmental governance, among which, g-C3N4, as an ideal photocatalyst, has shown excellent application potential in achieving the sustainable development of energy. However, its photocatalytic performance needs to be further improved in some applications. Rational construction of heterostructures with two or more semiconductor materials can combine the advantages of multi-components to simultaneously improve the photo-induced charge separation, which is very conducive to improving the absorption of visible light and obtaining more efficient redox capacity. With the rapid development in photocatalysis of g-C3N4-based heterostructures, a systematic summary and prospection of performance improvement are urgent and meaningful. This review focuses on various kinds of effective methods of heterogeneous combination; as well, strategies for improving the photocatalytic performance are fully discussed. In addition, the applications in efficient photocatalytic hydrogen production, photocatalytic carbon dioxide reduction, and organic pollutant degradation are systematically demonstrated. Finally, the remaining issues and prospects of further development are proposed as a kind of guidance for g-C3N4-based heterostructures with high efficiency at photocatalysis. Full article
(This article belongs to the Special Issue Photocatalysis: Past, Present, and Future Outlook)
18 pages, 8597 KiB  
Article
Polarized Three-Dimensional Reconstruction of Maritime Targets Through Zenith Angle Estimation from Specular and Diffuse Reflections
by Shuolin Zhang, Zhenduo Zhang, Rui Ma, Zhen Wang and Qilong Jia
Appl. Sci. 2024, 14(22), 10579; https://doi.org/10.3390/app142210579 (registering DOI) - 16 Nov 2024
Abstract
Polarized 3D imaging technology reconstructs the three-dimensional (3D) surface shape of an object by analyzing the polarization characteristics of light reflected from its surface. A key challenge in polarized 3D imaging is accurately estimating the zenith angle. Specular light poses a notable challenge [...] Read more.
Polarized 3D imaging technology reconstructs the three-dimensional (3D) surface shape of an object by analyzing the polarization characteristics of light reflected from its surface. A key challenge in polarized 3D imaging is accurately estimating the zenith angle. Specular light poses a notable challenge in estimating the zenith angle because it conveys limited information regarding the target. To enhance the accuracy and robustness of zenith angle estimation for specular light, this study proposes a novel zenith angle estimation method that utilizes both specular and diffuse reflections. Based on the estimated zenith angle, the target surface shape was reconstructed. The feasibility of the proposed method was validated using polarimetric images of marine targets, offering a new solution for the accurate identification and 3D imaging of distant maritime targets. Full article
19 pages, 8777 KiB  
Article
The Association of Drought with Different Precipitation Grades in the Inner Mongolia Region of Northern China
by Shuxia Yao, Chuancheng Zhao, Jiaxin Zhou and Qingfeng Li
Water 2024, 16(22), 3292; https://doi.org/10.3390/w16223292 (registering DOI) - 16 Nov 2024
Abstract
Drought has become an important factor affecting the environment and socio-economic sustainable development in northern China due to climate change. This study utilized the Standardized Precipitation Index (SPI) as a drought metric to investigate the correlation between drought characteristics and different grades of [...] Read more.
Drought has become an important factor affecting the environment and socio-economic sustainable development in northern China due to climate change. This study utilized the Standardized Precipitation Index (SPI) as a drought metric to investigate the correlation between drought characteristics and different grades of precipitation and rain days. The analysis was based on a long-term time series of precipitation data obtained from 116 meteorological stations located in Inner Mongolia, spanning 1960 to 2019. To achieve the objectives of the current research, the daily precipitation was categorized into four grades based on the “24-h Precipitation Classification Standard”, and the frequency of rain days for each grade was determined. Subsequently, the SPI was calculated for 1 and 12 months, enabling the identification of drought events. The results revealed pronounced spatiotemporal regional variations and complexities in the dry–wet climatic patterns of Inner Mongolia, with significant decreases in precipitation emerging as the primary driver of drought occurrences. Approximately 6% of the entire study period experienced short-term drought, while long-term drought periods ranged from 23% to 38%. Regarding multi-year trends, precipitation exhibited a weak increasing trend, while rain days exhibited a weak decreasing trend. Drought exhibited an alleviating trend, with 92% of stations displaying coefficients > 0 for SPI_Month and over 62% of stations displaying coefficients > 0 for SPI_Year. At the monthly scale, drought was most correlated with light rainfall trends and least correlated with moderate rainfall trends. At the annual scale, drought was relatively highly correlated with moderate and heavy rainfall distributions but poorly correlated with light rainfall. The results suggested that achieving the precise monitoring and mitigation of drought disasters in Inner Mongolia in the future will require a combined analysis of indicators, including agricultural drought, hydrological drought, and socio-economic drought. Such an approach will enable a comprehensive analysis of drought characteristics under different underlying surface conditions in Inner Mongolia. Full article
(This article belongs to the Section Water and Climate Change)
Show Figures

Figure 1

Figure 1
<p>Locations of meteorological stations in the Inner Mongolia autonomous region.</p>
Full article ">Figure 2
<p>Variation in the SPI in Inner Mongolia at different time scales during the period from 1960 to 2019. (<b>a</b>) The monthly SPI. (<b>b</b>) The annual SPI. Blue, dry; red, wet.</p>
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<p>Spatial variation in SPI_Month in Inner Mongolia. (<b>a</b>) The frequency of drought occurrence during the period from 1960 to 2019. (<b>b</b>) The percentage (%) of occurrence of mild drought. (<b>c</b>) The percentage (%) of occurrence of moderate drought. (<b>d</b>) The percentage (%) of occurrence of severe drought. (<b>e</b>) The percentage (%) of occurrence of extreme drought.</p>
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<p>Spatial variation in SPI_Year in Inner Mongolia. (<b>a</b>) The frequency of drought occurrence during the period from 1960 to 2019. (<b>b</b>) The percentage (%) of occurrence of mild drought. (<b>c</b>) The percentage (%) of occurrence of moderate drought. (<b>d</b>) The percentage (%) of occurrence of severe drought. (<b>e</b>) The percentage (%) of occurrence of extreme drought.</p>
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<p>Precipitation and rain days across the study period. Brown, rain days; blue, annual precipitation.</p>
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<p>Distribution of precipitation of different grades across the study period. (<b>a</b>) Light rain, (<b>b</b>) moderate rain, (<b>c</b>) heavy rain, and (<b>d</b>) torrential rain.</p>
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<p>The frequency of multi-year average of light and moderate rain days. (<b>a</b>) Light rain. (<b>b</b>) Moderate rain.</p>
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<p>The frequency of multi-year accumulations of heavy and torrential rain days. (<b>a</b>) Heavy rain. (<b>b</b>) Torrential rain.</p>
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<p>Relationship between SPI_Month and different grades of precipitation.</p>
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<p>Relationship between SPI_Year and different grades of precipitation.</p>
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23 pages, 3691 KiB  
Article
Predicting Structural Consequences of Antibody Light Chain N-Glycosylation in AL Amyloidosis
by Gareth J. Morgan, Zach Yung, Brian H. Spencer, Vaishali Sanchorawala and Tatiana Prokaeva
Pharmaceuticals 2024, 17(11), 1542; https://doi.org/10.3390/ph17111542 (registering DOI) - 16 Nov 2024
Abstract
Background/Objectives: Antibody light chains form amyloid fibrils that lead to progressive tissue damage in amyloid light chain (AL) amyloidosis. The properties of each patient’s unique light chain appear to determine its propensity to form amyloid. One factor is N-glycosylation, which is more frequent [...] Read more.
Background/Objectives: Antibody light chains form amyloid fibrils that lead to progressive tissue damage in amyloid light chain (AL) amyloidosis. The properties of each patient’s unique light chain appear to determine its propensity to form amyloid. One factor is N-glycosylation, which is more frequent in amyloid-associated light chains than in light chains from the normal immune repertoire. However, the mechanisms underlying this association are unknown. Here, we investigate the frequency and position within the light chain sequence of the N-glycosylation sequence motif, or sequon. Methods: Monoclonal light chains from AL amyloidosis and multiple myeloma were identified from the AL-Base repository. Polyclonal light chains were obtained from the Observed Antibody Space resource. We compared the fraction of light chains from each group harboring an N-glycosylation sequon, and the positions of these sequons within the sequences. Results: Sequons are enriched among AL-associated light chains derived from a subset of precursor germline genes. Sequons are observed at multiple positions, which differ between the two types of light chains, κ and λ, but are similar between light chains from AL amyloidosis and multiple myeloma. Positions of sequons map to residues with surface-exposed sidechains that are compatible with the folded structures of light chains. Within the known structures of λ AL amyloid fibrils, many residues where sequons are observed are buried, inconsistent with N-glycosylation. Conclusions: There is no clear structural rationale for why N-glycosylation of κ light chains is associated with AL amyloidosis. A better understanding of the roles of N-glycosylation in AL amyloidosis is required before it can be used as a marker for disease risk. Full article
Show Figures

Graphical abstract

Graphical abstract
Full article ">Figure 1
<p>The fraction of sequences with NxS/T N-glycosylation sequons differs between AL amyloidosis, multiple myeloma (MM) and the polyclonal repertoire, represented by sequences from Observed Antibody Space (OAS). The proportion of LCs associated with AL or MM, or from the OAS repertoire, with or without an NxS/T sequon is shown in dark and light colors, respectively; κ LCs are blue and λ LCs are orange. Odds ratios (OR) for selected comparisons are shown. Significant differences are shown using false discovery rate (FDR) to correct for multiple comparisons [<a href="#B59-pharmaceuticals-17-01542" class="html-bibr">59</a>]. (<b>A</b>) All LCs, with ORs for the AL vs. MM and AL vs. OAS comparisons. (<b>B</b>) LCs separated by isotype, with ORs for comparisons between κ groups.</p>
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<p>Glycosylation is associated with an increased number of somatic mutations. The number of amino acid residue substitutions, insertions and deletions in each LC V<sub>L</sub>-domain is shown as a percentage of its length. The box and whisker plots show median (central bars), inter-quartile range (boxes), distance to the non-outlier data (whiskers) and outlying points (circles). Blue and orange denote κ and λ LCs, respectively. Significance values, corrected for multiple testing, are shown for each comparison.</p>
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<p>LCs derived from a subset of genes are significantly enriched in sequons. (<b>A</b>) Numbers of LCs derived from each germline gene that harbor an NxS/T sequon. Data are shown for genes from which at least 10 AL LCs are derived. Counts are shown as a fraction of the total number of LCs derived from that gene. AL, MM and OAS LCs are shown in red, purple and green, respectively. (<b>A</b>) The number of LCs associated with each gene for AL, MM and OAS LCs is shown as a fraction of the total number of sequences derived from that gene. (<b>B</b>) Fractions of LCs derived from each germline gene that harbor an NxS/T sequon. (<b>C</b>) Odds ratios and 95% confidence intervals for the relative frequency of sequons among LCs from different origins where a significant difference was observed (FDR ≤ 0.05). Blue and orange symbols show κ and λ LCs, respectively.</p>
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<p>Positions of sequons within V<sub>L</sub>-domains. The number of sequons observed at each IMGT position is shown for κ and λ LCs associated with AL and MM, and from the polyclonal OAS repertoire. Orange and black bars show positions where a sequon progenitor is present and absent, respectively, in the assigned germline gene. Yellow and blue lines along the x-axes represent FR and CDR positions, respectively. Positions of sequons in AL and MM LCs are highlighted.</p>
Full article ">Figure 5
<p>Location of sequons within LCs among IMGT-defined structural elements. AL, MM and OAS LCs are shown in red, purple and green, respectively. Yellow and blue lines along the x-axes represent FR and CDR positions, respectively.</p>
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<p>Residues around the sequon asparagine are similar between AL and MM LCs. Sequence logos showing the proportion of each residue observed around each sequon. Numbering is relative to the asparagine residue. Colors show the chemical properties of each residue.</p>
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<p>Surface exposure of residues in representative germline-identical V<sub>L</sub>-domains. Each domain is oriented so that the CDR3 residues (indicated in the figures as CDR3) are at the top right, and the C-terminal residues, which connect to the C<sub>L</sub>-domain, are at the bottom left. The protein backbone is shown in cartoon representation, with sidechains modeled as sticks for surface-exposed residues and spheres for residues buried in the hydrophobic core. Residues are colored according to solvent exposure: grey, surface-exposed; red, buried in the core; blue, interacting with the partner chain.</p>
Full article ">Figure 8
<p>Most sequon positions are compatible with glycosylation. The number of sequons observed at each position is shown by bars, as for <a href="#pharmaceuticals-17-01542-f004" class="html-fig">Figure 4</a>. Solvent exposure is shown by the color of the bars and by squares under the plots. IMGT positions corresponding to residues on the surface of V<sub>L</sub>-domains, buried in the VL-domain core, and at the interface with heavy chains are shown in grey, red and blue, respectively. Solvent exposure was determined based on the structures of the isolated germline V<sub>L</sub>-domains for <span class="html-italic">IGKV1-33</span> (PDB entry 2Q20) and <span class="html-italic">IGLV2-14</span> (PDB entry 6MS1), which were used to represent κ and λ LCs, respectively. Hollow bars and gaps represent IMGT positions that are not represented in these structures. Yellow and blue lines along the x-axes represent FR and CDR positions, respectively. Arrows and cylinders below the axes show the positions of ß-sheets and α-helices defined in the structures.</p>
Full article ">Figure 9
<p>AL sequon positions mapped to LC structures in V<sub>L</sub>-domain homodimers (<b>A</b>,<b>B</b>) and antibody Fab complexes (<b>C</b>,<b>D</b>). Complexes are oriented so that the LC CDR3 residues (indicated in the figures as CDR3) are at the top and center, and the C-terminal residues, which connect to the C<sub>L</sub>-domain, are at the bottom left. One LC is shown as a backbone trace, with the Cα positions where sequons are observed shown as spheres. Residues are colored according to solvent exposure as for <a href="#pharmaceuticals-17-01542-f007" class="html-fig">Figure 7</a>: grey, surface-exposed; red, buried in the core; blue, interacting with the partner chain. The second LC of the dimer, and the heavy chain of each Fab is shown in surface representation.</p>
Full article ">Figure 10
<p>Positions of sequons observed in κ AL LCs, mapped onto the published structures of AL λ amyloid fibrils. The position of the glycans in the fibril structures of 7NSL and 9FAA are shown with a yellow triangle. All structures are oriented so that cysteine 23 is on the upper side of the disulfide and cysteine 104 is on the lower side. Dashed lines indicate missing density from the structures. Residue positions where sequons asparagine residues are observed in AL κ LCs are shown as spheres, colored to indicate the number of sequons at each position (data from <a href="#pharmaceuticals-17-01542-f004" class="html-fig">Figure 4</a> and <a href="#pharmaceuticals-17-01542-f008" class="html-fig">Figure 8</a>). Note that not all IMGT positions are occupied in each structure, so not all the sequon positions can be shown.</p>
Full article ">Figure 11
<p>Positions of sequons observed in λ AL LCs, mapped onto the published structures of AL λ amyloid fibrils. The position of the glycans in the fibril structures of 7NSL and 9FAA are shown with a yellow triangle. All structures are oriented so that cysteine 23 is on the upper side of the disulfide and cysteine 104 is on the lower side. Dashed lines indicate missing density from the structures. Residue positions where sequons asparagine residues are observed in AL λ LCs are shown as spheres, colored to indicate the number of sequons at each position (data from <a href="#pharmaceuticals-17-01542-f004" class="html-fig">Figure 4</a> and <a href="#pharmaceuticals-17-01542-f008" class="html-fig">Figure 8</a>). Note that not all IMGT positions are occupied in each structure, so not all the sequon positions can be shown.</p>
Full article ">
13 pages, 1029 KiB  
Article
A Combination of Traditional and Mechanized Logging for Protected Areas
by Natascia Magagnotti, Benno Eberhard and Raffaele Spinelli
Forests 2024, 15(11), 2021; https://doi.org/10.3390/f15112021 (registering DOI) - 16 Nov 2024
Abstract
Teaming draught animals with modern forest machines may offer an innovative low-impact solution to biomass harvesting in protected areas. Machine traffic only occurs on pre-designated access corridors set 50 m apart, while trees are cut with chainsaws and dragged to the corridor’s edge [...] Read more.
Teaming draught animals with modern forest machines may offer an innovative low-impact solution to biomass harvesting in protected areas. Machine traffic only occurs on pre-designated access corridors set 50 m apart, while trees are cut with chainsaws and dragged to the corridor’s edge by draught horses. The operation presented in this study included one chainsaw operator, two draught horses with their driver, an excavator-based processor with its driver and a helper equipped with a chainsaw for knocking off forks and large branches, and a light forwarder (7 t) with his driver. Researchers assessed work productivity and harvesting cost through a time study repeated on 20 sample plots. Descriptive statistics were used to estimate productivity and cost benchmark figures, which were matched against the existing references for the traditional alternatives. The new system achieved a productivity in excess of 4 m3 over bark per scheduled hour (including delays). Harvesting cost averaged EUR 53 m−3, which was between 15% and 30% cheaper than the traditional alternatives. What is more, the new system increased labor and horse productivity by a factor of 2 and 7, respectively, which can effectively counteract the increasingly severe shortage of men and animals. Full article
19 pages, 4845 KiB  
Article
Identification of Functional Immune Biomarkers in Breast Cancer Patients
by Roshanak Derakhshandeh, Yuyi Zhu, Junxin Li, Danubia Hester, Rania Younis, Rima Koka, Laundette P. Jones, Wenji Sun, Olga Goloubeva, Katherine Tkaczuk, Joshua Bates, Jocelyn Reader and Tonya J. Webb
Int. J. Mol. Sci. 2024, 25(22), 12309; https://doi.org/10.3390/ijms252212309 (registering DOI) - 16 Nov 2024
Abstract
Cancer immunotherapy has emerged as an effective, personalized treatment for certain patients, particularly for those with hematological malignancies. However, its efficacy in breast cancer has been marginal—perhaps due to cold, immune-excluded, or immune-desert tumors. Natural killer T (NKT) cells play a critical role [...] Read more.
Cancer immunotherapy has emerged as an effective, personalized treatment for certain patients, particularly for those with hematological malignancies. However, its efficacy in breast cancer has been marginal—perhaps due to cold, immune-excluded, or immune-desert tumors. Natural killer T (NKT) cells play a critical role in cancer immune surveillance and are reduced in cancer patients. Thus, we hypothesized that NKT cells could serve as a surrogate marker for immune function. In order to assess which breast cancer patients would likely benefit from immune cell-based therapies, we have developed a quantitative method to rapidly assess NKT function using stimulation with artificial antigen presenting cells followed by quantitative real-time PCR for IFN-γ. We observed a significant reduction in the percentage of circulating NKT cells in breast cancer patients, compared to healthy donors; however, the majority of patients had functional NKT cells. When we compared BC patients with highly functional NKT cells, as indicated by high IFN-γ induction, to those with little to no induction, following stimulation of NKT cells, there was no significant difference in NKT cell number between the groups, suggesting functional loss has more impact than physical loss of this subpopulation of T cells. In addition, we assessed the percentage of tumor-infiltrating lymphocytes and PD-L1 expression within the tumor microenvironment in the low and high responders. Further characterization of immune gene signatures in these groups identified a concomitant decrease in the induction of TNFα, LAG3, and LIGHT in the low responders. We next investigated the mechanisms by which breast cancers suppress NKT-mediated anti-tumor immune responses. We found that breast cancers secrete immunosuppressive lipids, and treatment with commonly prescribed medications that modulate lipid metabolism, can reduce tumor growth and restore NKT cell responses. Full article
12 pages, 1667 KiB  
Article
Supported and Free-Standing Non-Noble Metal Nanoparticles and Their Catalytic Activity in Hydroconversion of Asphaltenes into Light Hydrocarbons
by Leonid Kustov, Andrei Tarasov, Kristina Kartavova, Valery Khabashesku, Olga Kirichenko, Gennady Kapustin, Alexander Kustov, Evgeny Abkhalimov and Boris Ershov
Crystals 2024, 14(11), 987; https://doi.org/10.3390/cryst14110987 (registering DOI) - 16 Nov 2024
Abstract
The hydroconversion of asphaltenes into light hydrocarbons catalyzed by supported and free-standing non-noble metal nanoparticles was studied. The activity of Ni or Co immobilized on microspherical oxide carriers and Co nanoparticles dispersed in a hydrocarbon solution of asphaltene was found to be higher [...] Read more.
The hydroconversion of asphaltenes into light hydrocarbons catalyzed by supported and free-standing non-noble metal nanoparticles was studied. The activity of Ni or Co immobilized on microspherical oxide carriers and Co nanoparticles dispersed in a hydrocarbon solution of asphaltene was found to be higher than that of a comparative Pt-Pd/Al2O3 catalyst. The yield of light products (C5+) reached up to 91% on cobalt nanoparticles supported onto alumina microspheres. Full article
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<p>Schematic representation of the molecular structure of asphaltene.</p>
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<p>TPR-H<sub>2</sub> profiles of Al<sub>2</sub>O<sub>3</sub> (1), TiO<sub>2</sub> (2) carriers and 20%Co/Al<sub>2</sub>O<sub>3</sub> (3), 20%Ni/TiO<sub>2</sub> (4) catalyst precursors.</p>
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<p>TEM images and size distributions of 5%Ni/Al<sub>2</sub>O<sub>3</sub> (<b>a</b>,<b>b</b>) and 7%Co/Al<sub>2</sub>O<sub>3</sub> (<b>c</b>,<b>d</b>).</p>
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<p>TEM images of 5%Ni/TiO<sub>2</sub> (<b>a</b>) and 7%Co/TiO<sub>2</sub> (<b>b</b>).</p>
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<p>XRD patterns of 5%Ni and 7%Co nanocatalysts on Al<sub>2</sub>O<sub>3</sub> and TiO<sub>2</sub> supports.</p>
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<p>SEM image (<b>a</b>) and EDX elemental analysis (<b>b</b>) of the 5%Ni/TiO<sub>2</sub> catalyst. The contents of the elements determined by EDX: O, 43.00%, Ti, 51.73%, Ni, 5.27%.</p>
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19 pages, 3739 KiB  
Article
Standard Descriptors and Selected Biomarkers in Assessment of Posidonia oceanica (L.) Delile Environmental Response
by Željka Vidaković-Cifrek, Mirta Tkalec, Tatjana Bakran-Petricioli, Jasna Dolenc Koce, Jelena Bobetić, Adam Cvrtila, Ana Grbčić, Janja Maroević, Nina Mikec, Jelena Samac and Mateja Smiljanec
J. Mar. Sci. Eng. 2024, 12(11), 2072; https://doi.org/10.3390/jmse12112072 (registering DOI) - 16 Nov 2024
Viewed by 31
Abstract
Endemic Mediterranean seagrass Posidonia oceanica is highly endangered today as it lives in a narrow infralittoral zone intensely exposed to human impact. P. oceanica beds are especially endangered in the Adriatic Sea as the central and northern Adriatic could be considered as a [...] Read more.
Endemic Mediterranean seagrass Posidonia oceanica is highly endangered today as it lives in a narrow infralittoral zone intensely exposed to human impact. P. oceanica beds are especially endangered in the Adriatic Sea as the central and northern Adriatic could be considered as a naturally suboptimal area for P. oceanica growth. In this research, we used some standard descriptors of Posidonia meadows at different locations and depths and determined the biochemical parameters (phenolic compounds, photosynthetic pigments, and enzyme activities) in its leaves in order to find possible correlations among the measured parameters and environmental conditions. Photosynthetic pigments were shown to be sensitive biomarkers in the assessment of P. oceanica response to different light conditions, but more research is needed to elucidate the impact of other environmental factors. Overall, the results of this research show that the studied parameters are good bioindicators of a meadow’s environmental state, but it is necessary to analyze a number of diverse indicators together to properly characterize the state of a particular P. oceanica meadow. This approach would be very useful in the determination of P. oceanica conservation status, which is the first step towards improving monitoring protocols and implementing appropriate conservation measures. Full article
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<p>Locations of <span class="html-italic">Posidonia oceanica</span> sampling in the Zadar coastal area (central Adriatic)—Brbišćica Cove (BC), Zaglav Port (ZP), and Zadar Channel (ZK). (<b>a</b>) Position of sampling locations in the Adriatic Sea; (<b>b</b>) detailed position of sampling locations within the Zadar coastal area.</p>
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<p>Leaf thickness (<b>a</b>) and proportion of mesophyll in the total leaf thickness (<b>b</b>) in intermediary leaves of seagrass <span class="html-italic">Posidonia oceanica</span> taken at 3 (2) m and 10 m of depth at the researched locations. The results are expressed as mean values ± standard errors (N = 7). Columns with different lowercase letters indicate a significant difference (<span class="html-italic">p</span> ≤ 0.05) between the values (one-way ANOVA, Newman–Keuls post hoc test).</p>
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<p>Content of chlorophyll <span class="html-italic">a</span> (<b>a</b>,<b>b</b>), chlorophyll <span class="html-italic">b</span> (<b>c</b>,<b>d</b>), total chlorophylls (<b>e</b>,<b>f</b>), ratio of chlorophyll <span class="html-italic">a</span> and chlorophyll <span class="html-italic">b</span> (<b>g</b>,<b>h</b>), and total carotenoids (<b>i</b>,<b>j</b>) in intermediary leaves of <span class="html-italic">Posidonia oceanica</span> sampled at three researched locations in April, June, and October 2011 and February 2012. Results are expressed as mean values ± standard error (N = 7). Columns with different lowercase letters indicate a significant difference (<span class="html-italic">p</span> ≤ 0.05) between the values (one-way ANOVA, Newman–Keuls post hoc test).</p>
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<p>Content of total phenols (<b>a</b>,<b>b</b>), flavonoids (<b>c</b>,<b>d</b>), and anthocyanins (<b>e</b>,<b>f</b>) in intermediary leaves of <span class="html-italic">Posidonia oceanica</span> taken at researched locations. The samples were taken in April, June, and October 2011 and in February 2012. The results are expressed as mean values ± standard error (N = 7). Columns with different lowercase letters indicate a significant difference (<span class="html-italic">p</span> ≤ 0.05) between the values (one-way ANOVA, Newman–Keuls post hoc test).</p>
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<p>Activity of guaiacol peroxidase—POD (<b>a</b>,<b>b</b>)—and polyphenol oxidase—PPO (<b>c</b>,<b>d</b>)—in intermediary leaves of seagrass <span class="html-italic">Posidonia oceanica</span> taken at researched locations in April, June, and October 2011 and in February 2012. The results are expressed as mean values ± standard error (N = 7). Columns with different lowercase letters indicate a significant difference (<span class="html-italic">p</span> ≤ 0.05) between the values (one-way ANOVA, Newman–Keuls post hoc test).</p>
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<p>Principal component analysis of <span class="html-italic">Posidonia oceanica</span> data sets. Factor loadings (<b>a</b>) and scores (<b>b</b>) of the first two components (PCs). Bed density, leaf length, number of leaves, leaf area index (LAI), % of leaf damage, total estimated biomass, primary production, and leaf thickness, as well as Chl <span class="html-italic">a</span>, Chl <span class="html-italic">b</span>, Cars, Chl<sub>tot</sub>, Chl <span class="html-italic">a</span>/Chl <span class="html-italic">b</span>, total phenols, flavonoids, anthocyanins, POD, and PPO represent active variables while temperature, sun exposure, sea transparency, and salinity represent supplementary variables (noted with *). BC3 and BC10 denote samples from Brbišćica Cove, ZP3 and ZP10 from Zaglav Port, and ZK2 and ZK10 from Zadar Channel sampled at 3 (2) m and 10 m, respectively, while A (April), J (June), O (October), and F (February) represent months when the samples were taken.</p>
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15 pages, 4253 KiB  
Article
Effects of Thickness and Grain Size on Harmonic Generation in Thin AlN Films
by J. Seres, E. Seres, E. Céspedes, L. Martinez-de-Olcoz, M. Zabala and T. Schumm
Photonics 2024, 11(11), 1078; https://doi.org/10.3390/photonics11111078 (registering DOI) - 16 Nov 2024
Viewed by 63
Abstract
High-harmonic generation from solid films is an attractive method for converting infrared laser pulses to ultraviolet and vacuum ultraviolet wavelengths and for examining the films using the generation process. In this work, AlN thin films grown on a sapphire substrate are studied. Below-band-gap [...] Read more.
High-harmonic generation from solid films is an attractive method for converting infrared laser pulses to ultraviolet and vacuum ultraviolet wavelengths and for examining the films using the generation process. In this work, AlN thin films grown on a sapphire substrate are studied. Below-band-gap third harmonics and above-band-gap fifth harmonics were generated using a Ti:sapphire oscillator running at 800 nm. A strong enhancement of the fifth-harmonic signal in the forward direction was observed from thicker 39 nm and 100 nm films compared to thinner 8 nm and 17 nm films. For the fifth harmonic generated in the backward direction, and also for the third harmonic in both the forward and backward directions, only a weak dependence of the harmonic signal on the film thickness was measured. Using both X-ray diffraction and dependence of the fifth harmonic on the laser polarization measurements, these behaviors are attributed to the crystallization and the grain size of the films, promising fifth-harmonic generation as a suitable tool to study AlN film properties. Full article
(This article belongs to the Special Issue Advances in Laser Field Manipulation)
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<p>Experimental setup using transmission and reflection geometry for the measurements of the forward and backward 3rd and 5th harmonics generated on thin AlN films. The insets show the measured (<b>left top</b>) fundamental and (<b>left bottom</b>) harmonic spectra plotted (without the correction of the VUV filter spectral response) containing the H5 and the H3 lines and their higher diffraction orders for a 39 nm AlN film and another one for the sapphire substrate without film. (<b>middle top</b>) The band structures of the AlN film and the sapphire substrate with the harmonic generation processes. HWP: half-wave plate.</p>
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<p>XRD measurements of AlN films with different thicknesses on sapphire substrates: (<b>a</b>) as grown and (<b>b</b>) after rapid thermal annealing (RTA); (<b>c</b>) a zoom onto the AlN (002) peak and as-grown and RTA samples together with the same colors as in (<b>a</b>,<b>b</b>); (<b>d</b>) corresponding rocking curves.</p>
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<p>AFM images of (<b>a</b>) quartz substrate and AlN films of (<b>b</b>) 8 nm, (<b>c</b>) 17 nm and (<b>d</b>) 39 nm thickness onto quartz substrates.</p>
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<p>H3 and H5 signal dependence on the AlN film thickness. Both observation directions, namely forward (FW) and backward (BW), for harmonic signals are plotted. (<b>a</b>) The AlN film is on the front surface (FS) of the substrate. (<b>b</b>) The AlN film is on the back surface (BS) of the substrate. (<b>c</b>) The backward H5 signal is separately plotted for better visibility. In the insets, the corresponding definitions of the front and back surface arrangements are illustrated.</p>
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<p>Polarization dependence of H5 measured on the 39 nm thick AlN film. (<b>a</b>,<b>b</b>) The film is located at the front surface, together with the calculated one (detail in the text). The 6-fold symmetry of the w-AlN film is well resolved. For (<b>b</b>), the sample was rotated at 90° along the (001) direction (c-axes). The crystal structures with the highlighted hexagonal orientations are depicted under the corresponding panels. (<b>c</b>) Measured polarization dependence of H5 when the film was on the back surface of the sapphire substrate. The 4-fold symmetry is an effect of the birefringence of the substrate.</p>
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<p>Measured polarization dependence of the H5 signal for the different film thicknesses. The dashed black curves are fitted calculations. (<b>a</b>,<b>b</b>) measured in forward, (<b>c</b>) in backward direction.</p>
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<p>Bond orientations and notations for the calculations: (<b>a</b>) the laser beam illuminates the surface of the (001)-oriented w-AlN film containing a layered atomic structure; (<b>b</b>) one unit cell is highlighted with the bond notations; (<b>c</b>) definitions of the coordinate system and rotations.</p>
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<p>(<b>a</b>) The grains of the AlN film grow with the film thickness until the thickest film. (<b>b</b>) The contribution of the b<sub>0</sub> bond to the H5 signal is in direct correlation with the grain growth in the film. For (<b>a</b>,<b>b</b>), the values are given in <a href="#photonics-11-01078-t001" class="html-table">Table 1</a>.</p>
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<p>Harmonic generation schemes when thinner and thicker AlN films are on the front or back surface.</p>
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17 pages, 3997 KiB  
Article
The Influence of Relative Humidity and Pollution on the Meteorological Optical Range During Rainy and Dry Months in Mexico City
by Blanca Adilen Miranda-Claudes and Guillermo Montero-Martínez
Atmosphere 2024, 15(11), 1382; https://doi.org/10.3390/atmos15111382 (registering DOI) - 16 Nov 2024
Viewed by 65
Abstract
The Meteorological Optical Range (MOR) is a measurement of atmospheric visibility. Visibility impairment has been linked to increased aerosol levels in the air. This study conducted statistical analyses using meteorological, air pollutant concentration, and MOR data collected in Mexico City from [...] Read more.
The Meteorological Optical Range (MOR) is a measurement of atmospheric visibility. Visibility impairment has been linked to increased aerosol levels in the air. This study conducted statistical analyses using meteorological, air pollutant concentration, and MOR data collected in Mexico City from August 2014 to December 2015 to determine the factors contributing to haze occurrence (periods when MOR < 10,000 m), defined using a light scatter sensor (PWS100). The outcomes revealed seasonal patterns in PM2.5 and relative humidity (RH) for haze occurrence along the year. PM2.5 levels during hazy periods in the dry season were higher compared to the wet season, aligning with periods of poor air quality (PM2.5 > 45 μg/m3). Pollutant-to-CO ratios suggested that secondary aerosols’ production, led by SO2 conversion to sulfate particles, mainly impacts haze occurrence during the dry season. Meanwhile, during the rainy season, the PWS100 registered haze events even with PM2.5 values close to 15 μg/m3 (considered good air quality). The broadened distribution of extinction efficiency during the wet period and its correlation with RH suggest that aerosol water vapor uptake significantly impacts visibility during this season. Therefore, attributing poor visibility strictly to poor air quality may not be appropriate for all times and locations. Full article
(This article belongs to the Section Meteorology)
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<p>The research methodology overview. Blue boxes represent the main phases/sections of the study, green boxes represent how the analysis was carried out, and the yellow box leads to the discussion of results.</p>
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<p>Time series for Meteorological Optical Range (<span class="html-italic">MOR</span>, black lines), meteorological, and pollutant (PM<sub>2.5</sub>, NO<sub>x</sub>, SO<sub>2</sub>, and CO) measurements from 22 to 23 November 2015. <span class="html-italic">MOR</span> data show a haze event on 23 November 2015. The upper panel (<b>a</b>) shows a comparison between PM<sub>2.5</sub>, NO<sub>x</sub>, and <span class="html-italic">RH</span> (red, blue, and yellow lines, respectively) measurements correlated with <span class="html-italic">MOR</span> data. The bottom panel (<b>b</b>) displays the SO<sub>2</sub>, CO, and <span class="html-italic">WS</span> (orange, blue, and green lines, respectively) estimates during the same period. It is observed that pollutant concentrations show higher levels during the haze occurrence. See more details in the text.</p>
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<p>The correlation matrix showing the relationship between <span class="html-italic">MOR</span> and meteorological and pollutants variables. Bold numbers in the green-colored cells indicate statistically significant results.</p>
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<p>The series of monthly averages of <span class="html-italic">MOR</span>, meteorological, and pollutant measurements obtained for haze (orange) and control (blue) periods. The information is displayed for the months when haze events occurred, so November 2014 and January, March, and October 2015 are missing. The open symbols indicate results obtained for the dry season. Each subfigure shows the comparison for the variables as: (<b>a</b>) <span class="html-italic">MOR</span>, (<b>b</b>) PM<sub>2.5</sub>, (<b>c</b>) <span class="html-italic">RH</span>, (<b>d</b>) NO<sub>x</sub>, (<b>e</b>) <span class="html-italic">WS</span>, (<b>f</b>) SO<sub>2</sub>, and (<b>g</b>) <span class="html-italic">WDIR</span>.</p>
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<p>The dispersion of <span class="html-italic">MOR</span> values, categorized into haze (<span class="html-italic">MOR</span> &lt; 10,000 m, blue points) and non-haze (<span class="html-italic">MOR</span> &gt; 10,000 m, orange points) classes, as a function of <span class="html-italic">RH</span> and PM<sub>2.5</sub> for the dry (<b>left panel</b>) and the precipitating (<b>right panel</b>) seasons.</p>
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<p>The contribution of particulate (PM<sub>2.5</sub>) pollution levels in four visibility ranges during the two chosen precipitation periods. The upper panel shows that bad air quality conditions contribute significantly (up to 60%) to haze occurrence during the low precipitation period.</p>
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<p>Estimates of (<b>a</b>) PM<sub>2.5</sub>/CO (μg/m<sup>3</sup>/ppmv), (<b>b</b>) SO<sub>2</sub>/CO (ppbv/ppmv), and (<b>c</b>) NO<sub>x</sub>/CO (ppbv/ppmv) ratios for two <span class="html-italic">MOR</span> ranges (shown in the <span class="html-italic">x</span>-axis of the bottom panel). Orange and blue bars show the mean values for each ratio during the representative periods of haze and good <span class="html-italic">MOR</span> estimates, respectively. The vertical bars correspond to the standard deviation of the mean values. Under different visibility conditions, these ratios are useful as a proxy for the contribution of gas–particle conversion processes. See details in the text.</p>
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<p>Frequency distributions of the extinction capacity of PM<sub>2.5</sub> per unit mass under diverse <span class="html-italic">RH</span> ranges: (<b>a</b>) 40 % &lt; <span class="html-italic">RH</span> &lt; 60 %, (<b>b</b>) 60 % &lt; <span class="html-italic">RH</span> &lt; 80 %, and (<b>c</b>) 80 % ≤ <span class="html-italic">RH.</span> The obtained distributions are displayed for the dry and rainy seasons.</p>
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<p>Cumulative curves of haze periods as a function of the PM<sub>2.5</sub> levels (<b>a</b>) and <span class="html-italic">RH</span> (<b>b</b>) during the two chosen seasons. The 50% frequency level was used to determine the particulate and moisture threshold values for haze incidence at the sampling site during the rainy and low precipitation seasons.</p>
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22 pages, 15270 KiB  
Article
Modeling Inertia-Driven Oil Transport Inside the Three-Piece Oil Control Ring of Internal Combustion Engines
by Tsung-Yu Yang, Mo Li and Tian Tian
Lubricants 2024, 12(11), 394; https://doi.org/10.3390/lubricants12110394 (registering DOI) - 16 Nov 2024
Viewed by 75
Abstract
The three-piece oil control ring (TPOCR), traditionally used in light-duty gasoline engines, is becoming a viable option for heavy-duty gas and hydrogen engines due to its ability to control lubricating oil consumption (LOC) under throttled conditions. Understanding the distribution of oil inside the [...] Read more.
The three-piece oil control ring (TPOCR), traditionally used in light-duty gasoline engines, is becoming a viable option for heavy-duty gas and hydrogen engines due to its ability to control lubricating oil consumption (LOC) under throttled conditions. Understanding the distribution of oil inside the TPOCR groove, as well as the effects of rail gap and drain hole positions, is critical for optimizing TPOCR and groove designs. In this work, a one-dimensional oil distribution model was developed to simulate inertia-driven oil transport in the TPOCR groove. A novel approach was proposed by first dividing the TPOCR into units composed of a pair of expander pitches. Then, the relationship between the oil outflow rate of the unit and its oil mass was established with the help of three-dimensional two-phase computational fluid dynamics (CFD) simulations. This relationship was then used to model one-dimensional oil transport along the circumference of the TPOCR groove. Incorporating the boundary conditions at the rail gaps and drain holes, this simple model can complete computations for 10,000 cycles within a few seconds, allowing for quick the evaluation of transient behavior and design iterations. Studies on low-load conditions show that the model, with reasonable adjustment for the boundary conditions, can match the oil distribution patterns observed in visualization experiments. This is the first step toward studying oil transport in the TPOCR groove before involving the effects of gas flows. Full article
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<p>Sample piston (<b>left</b>) and three-piece oil control ring (<b>right</b>).</p>
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<p>Oil leakage mechanism [<a href="#B9-lubricants-12-00394" class="html-bibr">9</a>].</p>
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<p>Optical liner and test engine setup.</p>
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<p>Oil transport during BDC.</p>
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<p>Oil transport during TDC.</p>
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<p>An illustration of an inertial force-driven oil puddle and oil bridging to the liner.</p>
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<p>The computational domain of the TPOCR model.</p>
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<p>CFD mesh for TPOCR model.</p>
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<p>Oil transport mechanism within a unit.</p>
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<p>Oil transport mechanism between units.</p>
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<p>CFD simulations after 3590° crank angles.</p>
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<p>Concept of oil distribution model.</p>
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<p>Oil accumulation in the groove (<span class="html-italic">E</span>: 1000 RPM, <math display="inline"><semantics> <mrow> <mi>μ</mi> </mrow> </semantics></math>: 0.0036 <math display="inline"><semantics> <mrow> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mrow> <mi mathvariant="normal">k</mi> <mi mathvariant="normal">g</mi> </mrow> <mrow> <mi mathvariant="normal">m</mi> <mo>·</mo> <mi mathvariant="normal">s</mi> </mrow> </mfrac> </mstyle> </mrow> </semantics></math>).</p>
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<p>Oil mass flow rate (<span class="html-italic">E</span>: 1000 RPM, <math display="inline"><semantics> <mrow> <mi>μ</mi> </mrow> </semantics></math>: 0.0036 <math display="inline"><semantics> <mrow> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mrow> <mi mathvariant="normal">k</mi> <mi mathvariant="normal">g</mi> </mrow> <mrow> <mi mathvariant="normal">m</mi> <mo>·</mo> <mi mathvariant="normal">s</mi> </mrow> </mfrac> </mstyle> </mrow> </semantics></math>).</p>
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<p>Oil accumulation after data processing (<span class="html-italic">E</span>: 1000 RPM, <math display="inline"><semantics> <mrow> <mi>μ</mi> </mrow> </semantics></math>: 0.0036 <math display="inline"><semantics> <mrow> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mrow> <mi mathvariant="normal">k</mi> <mi mathvariant="normal">g</mi> </mrow> <mrow> <mi mathvariant="normal">m</mi> <mo>·</mo> <mi mathvariant="normal">s</mi> </mrow> </mfrac> </mstyle> </mrow> </semantics></math>).</p>
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<p>Oil mass flow rate after data processing (<span class="html-italic">E</span>: 1000 RPM, <math display="inline"><semantics> <mrow> <mi>μ</mi> </mrow> </semantics></math>: 0.0036 <math display="inline"><semantics> <mrow> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mrow> <mi mathvariant="normal">k</mi> <mi mathvariant="normal">g</mi> </mrow> <mrow> <mi mathvariant="normal">m</mi> <mo>·</mo> <mi mathvariant="normal">s</mi> </mrow> </mfrac> </mstyle> </mrow> </semantics></math>).</p>
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<p>Correlation between oil accumulation and mass flow rate (<span class="html-italic">E</span>: 1000 RPM, <math display="inline"><semantics> <mrow> <mi>μ</mi> </mrow> </semantics></math>: 0.0036 <math display="inline"><semantics> <mrow> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mrow> <mi mathvariant="normal">k</mi> <mi mathvariant="normal">g</mi> </mrow> <mrow> <mi mathvariant="normal">m</mi> <mo>·</mo> <mi mathvariant="normal">s</mi> </mrow> </mfrac> </mstyle> </mrow> </semantics></math>).</p>
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<p>Correlation between oil accumulation and mass flow rate (<math display="inline"><semantics> <mrow> <mi>μ</mi> </mrow> </semantics></math>: 0.0036 <math display="inline"><semantics> <mrow> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mrow> <mi mathvariant="normal">k</mi> <mi mathvariant="normal">g</mi> </mrow> <mrow> <mi mathvariant="normal">m</mi> <mo>·</mo> <mi mathvariant="normal">s</mi> </mrow> </mfrac> </mstyle> </mrow> </semantics></math>).</p>
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<p>Comparison of oil distribution model and CFD simulations (<span class="html-italic">E</span>: 1000 RPM, <math display="inline"><semantics> <mrow> <mi>μ</mi> </mrow> </semantics></math>: 0.0036 <math display="inline"><semantics> <mrow> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mrow> <mi mathvariant="normal">k</mi> <mi mathvariant="normal">g</mi> </mrow> <mrow> <mi mathvariant="normal">m</mi> <mo>·</mo> <mi mathvariant="normal">s</mi> </mrow> </mfrac> </mstyle> </mrow> </semantics></math>).</p>
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<p>Comparison of oil distribution model and CFD simulations (<span class="html-italic">E</span>: 5000 RPM, <math display="inline"><semantics> <mrow> <mi>μ</mi> </mrow> </semantics></math>: 0.0036 <math display="inline"><semantics> <mrow> <mstyle scriptlevel="0" displaystyle="true"> <mfrac> <mrow> <mi mathvariant="normal">k</mi> <mi mathvariant="normal">g</mi> </mrow> <mrow> <mi mathvariant="normal">m</mi> <mo>·</mo> <mi mathvariant="normal">s</mi> </mrow> </mfrac> </mstyle> </mrow> </semantics></math>).</p>
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<p>Predicted values from oil distribution model vs. actual values from CFD.</p>
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<p>Oil accumulation in the oil control ring groove after 300 engine revolutions.</p>
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<p>Oil accumulation in the oil control ring groove after 800 engine revolutions.</p>
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<p>Oil accumulation in the oil control ring groove after 1300 engine revolutions.</p>
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<p>Illustration of observation region (<b>left</b>) and example of observation photo from experiment (<b>right</b>).</p>
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<p>Experimental observation of oil accumulation.</p>
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<p>Modeling result of oil accumulation.</p>
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<p>Effect of oil film thickness on oil accumulation.</p>
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<p>Effect of engine speed on oil accumulation.</p>
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<p>Piston with different number of drain holes: 1 (<b>top-left</b>), 2 (<b>top-right</b>), 4 (<b>bottom-left</b>), and 6 drain holes (<b>bottom-right</b>) drain holes.</p>
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<p>Effect of drain hole number on oil accumulation.</p>
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<p>Two different drain holes’ arrangement: Near the skirt edge (<b>left</b>), uniformly distributed along the pin side (<b>right</b>).</p>
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<p>Effect of drain hole arrangement on oil accumulation.</p>
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<p>Effect of viscosity on oil accumulation.</p>
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<p>Effect of ring rotation speed on oil accumulation.</p>
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<p>The effect of the amount of oil in the drain holes on oil accumulation.</p>
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26 pages, 3497 KiB  
Article
Developing Innovative Apolar Gels Based on Cellulose Derivatives for Cleaning Metal Artworks
by Andrea Macchia, Camilla Zaratti, Davide Ciogli, Giovanni Rivici, Silvia Pilati, Nereo Sbiri, Tilde de Caro and Maria Assunta Navarra
Gels 2024, 10(11), 747; https://doi.org/10.3390/gels10110747 (registering DOI) - 16 Nov 2024
Viewed by 58
Abstract
Abstract: The use of organic solvents, particularly those of a non-polar nature, is a common practice during cleaning operations in the restoration of polychrome artworks and metallic artifacts. However, these solvents pose significant risks to the health of operators and the environment. This [...] Read more.
Abstract: The use of organic solvents, particularly those of a non-polar nature, is a common practice during cleaning operations in the restoration of polychrome artworks and metallic artifacts. However, these solvents pose significant risks to the health of operators and the environment. This study explores the formulation of innovative gels based on non-polar solvents and cellulose derivatives, proposing a safe and effective method for cleaning metallic artworks. The study is focused on a toxic apolar solvent, Ligroin, identified as one of the most widely used solvents in the cultural heritage treatments, and some “green” alternatives such as Methyl Myristate and Isopropyl Palmitate. The main challenge lies in overcoming the chemical incompatibility between non-polar solvents and polar thickening agents like cellulose ethers. To address this problem, the research was based on a hydrophilic–lipophilic balance (HLB) system and Hansen solubility parameters (HSPs) to select appropriate surfactants, ensuring the stability and effectiveness of the formulated gels. Stability, viscosity, and solvent release capacity of gels were analyzed using Static Light Multiple Scattering (Turbiscan), viscometry, and thermogravimetric analysis (TGA). The efficacy of cleaning in comparison with Ligroin liquid was evaluated on a metal specimen treated with various apolar protective coatings used commonly in the restoration of metallic artifacts, such as microcrystalline waxes (Reswax, Soter), acrylic resins (Paraloid B44), and protective varnishes (Incral, Regalrez). Multispectral analysis, digital optical microscopy, FTIR spectroscopy, and spectrocolorimetry allowed for the assessment of the gels’ ability to remove the different protective coatings, the degree of cleaning achieved, and the presence of any residues. The results obtained highlight the ability of the formulated gels to effectively remove protective coatings from metallic artifacts. Cetyl Alcohol proved to be the most versatile surfactant to realize a stable and efficient gel. The gels based on Methyl Myristate and Isopropyl Palmitate showed promising results as “green” alternatives to Ligroin, although in some cases, they exhibited less selectivity in the removal of protective coatings. Full article
(This article belongs to the Special Issue Design of Supramolecular Hydrogels)
14 pages, 1351 KiB  
Article
Movement Behaviors and Bone Biomarkers in Young Pediatric Cancer Survivors: A Cross-Sectional Analysis of the iBoneFIT Project
by Jose J. Gil-Cosano, Esther Ubago-Guisado, Francisco J. Llorente-Cantarero, Andres Marmol-Perez, Andrea Rodriguez-Solana, Juan F. Pascual-Gazquez, Maria E. Mateos, Jose R. Molina-Hurtado, Beatriz Garcia-Fontana, Pedro Henrique Narciso, Panagiota Klentrou and Luis Gracia-Marco
Nutrients 2024, 16(22), 3914; https://doi.org/10.3390/nu16223914 (registering DOI) - 16 Nov 2024
Viewed by 99
Abstract
Background/Objectives: This study aims to investigate the association of movement behaviors with irisin, sclerostin, and bone turnover markers in young pediatric cancer survivors. Methods: A total of 116 young pediatric cancer survivors (12.1 ± 3.3 years; 42% female) were recruited. Time spent in [...] Read more.
Background/Objectives: This study aims to investigate the association of movement behaviors with irisin, sclerostin, and bone turnover markers in young pediatric cancer survivors. Methods: A total of 116 young pediatric cancer survivors (12.1 ± 3.3 years; 42% female) were recruited. Time spent in movement behaviors over at least seven consecutive 24 h periods was measured by accelerometers (wGT3x-BT accelerometer, ActiGraph). Blood samples were collected at rest and serum was analyzed for irisin, sclerostin, cross-linked telopeptide of type I collagen (CTX), procollagen type I amino-terminal propeptide (P1NP), total osteocalcin (OC), alkaline phosphatase (ALP), 25-hydroxyvitamin D, parathyroid hormone (PTH), calcium, phosphorous, and magnesium. Results: Irisin and sclerostin were not significantly correlated with bone turnover markers. Sedentary time was negatively correlated with the P1NP (r = −0.411, p = 0.027) and total OC (r = −0.479, p = 0.015) Z-scores, whereas moderate-to-vigorous physical activity was positively correlated with the P1NP (r = 0.418, p = 0.024) and total OC (r = 0.478, p = 0.016) Z-scores. Moreover, total physical activity was positively correlated with the total OC Z-score (r = 0.448, p = 0.025). Finally, the uncoupling index [CTX/P1NP] was positively correlated with sedentary time (r = 0.424, p = 0.012) and negatively correlated with light physical activity (r = −0.352, 0.041). Conclusions: Reducing sedentary time and increasing physical activity may favor bone formation over resorption in young pediatric cancer survivors. Full article
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Figure 1

Figure 1
<p>Flowchart of the study. PA, physical activity; PTH, parathyroid hormone; ALP, alkaline phosphatase; CTX, collagen type I cross-linked C-telopeptide; P1NP, procollagen type I N-terminal propeptide; OC, osteocalcin.</p>
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<p>Bone marker plot with 95% confidence ellipsis from (<b>A</b>) CTX/P1NP and (<b>B</b>) CTX/OC.</p>
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<p>Relationships of circulating sclerostin (panel (<b>A</b>–<b>C</b>)) and irisin (panel (<b>D</b>–<b>F</b>)) with bone turnover markers. CTX, collagen type I cross-linked C-telopeptide; P1NP, procollagen type I N-terminal propeptide; OC, osteocalcin.</p>
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<p>Relationships between movement behaviors and the uncoupling index CTX/P1NP (panel (<b>A</b>–<b>D</b>)) and the uncoupling index CTX/OC (panel (<b>E</b>–<b>H</b>)). SB, sedentary behavior; LPA, light physical activity; MVPA, moderate-to-vigorous physical activity; CTX, collagen type I cross-linked C-telopeptide; P1NP, procollagen type I N-terminal propeptide; OC, osteocalcin. Boldface indicates statistical significance.</p>
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