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0.422625 | eba998fbe7c048b495f76732046bcd39 | Representative confocal images of tomato, Solanum lycopersicum (L.) cv. Roma VF, root-galls infected with M. javanica at 14 dpi from bacteria-treated (coated seeds) and non-treated, control plants. (A) Auto-fluorescence of the glutaraldehyde (green), and (B) Transmission images of control (untreated) gall from tomato at 14dpi, (C) Fluorescence of the glutaraldehyde (green), and (D) Transmission images of galls from bacteria treated plants with seeds coating. A1, B1, C1, D1), close up images of the giant cells (GCs) and the nematode as indicated, to facilitate their observation. The GCs size showed differences between those treated with the dual-strain bacteria combination and tomato control galls;*, giant cells; N, nematode; Scale bars: 75µm. (E) Quantification of the GCs size. Bars represent mean of giant cells size (height and width) ± SE for fifty giant cells per treatment, from three independent experiments. *Asterisks represent significant differences respect to uncoated seeds (t-test; P<0.05). Seeds were uncoated (black) or coated (grey) with the dual-strain bacteria combination of B paralicheniformis FMCH001 and B subtilis FMCH002. | PMC9846617 | fpls-13-1077062-g005.jpg |
0.476483 | 9f28c1d4783448209a7c5ad6f2b1b994 | Representative images of auto-fluorescence (in green) and transmittance light (in grey) of bacteria in the tomato root external tissue and inside the galls. (A, B), tomato uncoated root control. (C, D) tomato root coated with dual-strain bacteria combination. (E, F), 14dpi gall of tomato root coated with dual-strain bacteria combination. E1, F1) upper part of a z-stack of the 14dpi gall of tomato root coated with dual-strain bacteria combination shown in E, F, E2, F2) close up images of E1 and F1, respectively. Data showed that tomato roots and galls/giant cells coated with the dual-strain bacteria combination of B paralicheniformis FMCH001 and B subtilis FMCH002 were colonized by spores (s) and/or vegetative cells. Asterisks, giant cells; N, nematode; white arrows, vegetative cells; s, spores. Scale bars: 25µm for A, B, E, E1, E2, F, F1 and F2. 50µm for (C) and (D) Seeds were uncoated (black) or coated (grey) with the dual-strain bacteria combination of B paralicheniformis FMCH001 and B subtilis FMCH002. | PMC9846617 | fpls-13-1077062-g006.jpg |
0.425054 | a5d918efd62c46e6979437117e5cef7a | Nematode reproduction analysis after dual-strain bacteria treatments in tomato plants. The number of eggs obtained in tomato (Solanum lycopersicum) var. Rome inoculated with 400 J2/plant of M. javanica was quantified in all cases, (A) per plant, and (B) per gram of roots weight. Treatment 1 (irrigated with dual-strain bacteria combination, day 1, and inoculated with M. javanica, day 3); treatment 2 (inoculated with M. javanica. day 1, and irrigated with dual-strain bacteria combination, day 3) and treatment 3 (inoculated with M. javanica, day 1, and irrigated with only tap water, day 3). Treatment 3 was used as control of nematode infection. Number of eggs were scored eight weeks post inoculation (from day 1). Bars represent mean ± SE, n=24 plants tested per treatment in three independent experiments. Concentration of 1x dual-strain bacteria combination of B paralicheniformis FMCH001 and B subtilis FMCH002, 3,2 x 10E+08 CFU/ml. Statistics are always comparisons to treatment 3 as a control. *Asterisks represent significant differences (t-test; P < 0.05). | PMC9846617 | fpls-13-1077062-g007.jpg |
0.457248 | 819c1c23328f48afaca84abe32c2272f | Nematode reproduction (Meloidogyne spp. and Pratylenchus spp.) in soybean plants from bacteria coated seeds. (A) Number of nematode eggs per plant (left) and nematode eggs/gram (right) of root of Meloidogyne spp. measured at 30 (one infection cycle) and 60 days (two infections cycles) after soybean inoculation with 5000 eggs of M. incognita.
(B) Number of Pratylenchus spp. specimens measured 40 days after soybean sowing in nematode natural infested soil. The dual-strain combination of B paralicheniformis FMCH001 and B subtilis FMCH002 was applied by seed coating. Bars are mean ± standard error (n=9). Asterisk represents significant difference to non-treated control seeds (t-test; p < 0.05). | PMC9846617 | fpls-13-1077062-g008.jpg |
0.506275 | c255dcc947d94c70b9cfca68bc76103d | Architectural representation of the Mobilenet_v3 CNN model employed in the proposed work. | PMC9846703 | 41598_2022_27192_Fig10_HTML.jpg |
0.547554 | d9b4ad204e9e45f8ae620774d04d561c | Flowchart representation of the meta-heuristic BBA used for feature selection in our proposed work. | PMC9846703 | 41598_2022_27192_Fig11_HTML.jpg |
0.420786 | 7a4b860a19bd4e9fa18d864f499e936f | Graph showing the Loss plot generated by (a) Efficientnet_b0 and (b) Mobilenet_v3_Large transfer learning models on HARTH dataset. | PMC9846703 | 41598_2022_27192_Fig12_HTML.jpg |
0.393824 | c93717a198a4488989288639e26b92e6 | Graph showing the Loss plot generated by (a) Efficientnet_b0 and (b) Mobilenet_v3_Large transfer learning models on KU-HAR dataset. | PMC9846703 | 41598_2022_27192_Fig13_HTML.jpg |
0.429478 | 51d8f9201c2243b7bd84d9fb79dda9d1 | Graph showing the Loss plot generated by: (a) Efficientnet_b0 and (b) Mobilenet_v3_Large transfer learning models on HuGaDB dataset. | PMC9846703 | 41598_2022_27192_Fig14_HTML.jpg |
0.410637 | 4f5da6e1ade745efb8bbed85b8356c46 | Graph showing the confusion matrices generated by our proposed HAR framework on: (a) HARTH, (b) KU-HAR and (c) HuGaDB datasets. | PMC9846703 | 41598_2022_27192_Fig15_HTML.jpg |
0.423173 | 1cc1491e77cd4c979dfbf05c5f9b4127 | Convergence curves to show average fitness over iterations after applying BBA on concatenated feature set for: (a) HARTH dataset, (b) KU-HAR dataset and (c) HuGaDB dataset. | PMC9846703 | 41598_2022_27192_Fig16_HTML.jpg |
0.401517 | 2c5b86113cf140548f3ba344b6b58fcb | Graphical representation of the proposed wrapper-based deep feature optimization framework for HAR problem. | PMC9846703 | 41598_2022_27192_Fig1_HTML.jpg |
0.392304 | 5169ce5fb5ba4b9fb7577610f9ee4a42 | Class-wise distribution of human activities in the HARTH dataset. | PMC9846703 | 41598_2022_27192_Fig2_HTML.jpg |
0.444287 | 45d46b9ecd3e46abb5b06805f6d1a0f7 | Class-wise distribution of human activities in the HARTH dataset. | PMC9846703 | 41598_2022_27192_Fig3_HTML.jpg |
0.417328 | eefb0efa3d7b452d9878de1954e247b2 | Class-wise distribution of human activities in the HuGaDB dataset. | PMC9846703 | 41598_2022_27192_Fig4_HTML.jpg |
0.429325 | c9b635a4e23f44e6bc8684284dbfe5bf | A graphical visualization of the entire proposed wrapper-based deep feature optimization framework for HAR. | PMC9846703 | 41598_2022_27192_Fig5_HTML.jpg |
0.415954 | 186aa9e6482343dc931c8b7177c81bbc | Spectrogram images for various human activities from the HARTH dataset. | PMC9846703 | 41598_2022_27192_Fig6_HTML.jpg |
0.403888 | d08f843dca9d4815bdb825845f143c0b | Spectrogram images for various human activities from the KU-HAR dataset. | PMC9846703 | 41598_2022_27192_Fig7_HTML.jpg |
0.392033 | ba7db89ac58e4c388bbd554f11917b06 | Spectrogram images for various human activities from the HuGaDB dataset. | PMC9846703 | 41598_2022_27192_Fig8_HTML.jpg |
0.471627 | f92082d5a5444730ace83b2b2e6ee26b | Block diagram illustration of the Efficientnet model used in the proposed HAR framework. | PMC9846703 | 41598_2022_27192_Fig9_HTML.jpg |
0.432516 | 58499b401dbf4062b2163a45eafcbb2d | Small and slightly long T1 signal nodules were seen in the head of the pancreas with clear boundaries (A) and mild enhancement (B). | PMC9846974 | WJCC-11-150-g001.jpg |
0.450043 | 39cac3690972444ab6ee92f865433c61 |
Endoscopic ultrasonography suggested a hypoechoic lesion in the head of the pancreas, with a hyperechoic nodule, about 1 cm × 1.4 cm in size. | PMC9846974 | WJCC-11-150-g002.jpg |
0.399924 | eab239209ea04dbead700aa55fa71f05 | Preoperative and postoperative changes of fasting blood glucose, insulin and C-peptide. | PMC9846974 | WJCC-11-150-g003.jpg |
0.48427 | 05540e4975f54a42b06e3a045371b29f |
Postoperative pathological results showed nesidioblastosis. A: Islet cells show hypertrophy, with pleomorphic changes in the nucleus, an increased and transparent cytoplasm; and immunohistochemistry analysis showed Ki-67 about 2% (+) (B), Syn (+)(C), MGMT (+), CD56 (-), CgA (-), Insulin (-), CK(+). | PMC9846974 | WJCC-11-150-g004.jpg |
0.484935 | c01115db950e4f5a88b047301b48b420 | (a) Connection mode of boroxine in BNOF-1. (b) Fragment of the tetrameric ring in BNOF-1. (c) 2D layers in BNOF-1 stacked along the a-axis. (d) The 3D supramolecular framework of BNOF-1 is viewed along the c axis. C gray, N navy, B pink, O red (H atoms are omitted for clarity). | PMC9847669 | d2sc06016g-f1.jpg |
0.438025 | 7611939090274d2a9add725c127a1a96 | (a) Large-scale synthesis and (b) regeneration process of BNOF-1. | PMC9847669 | d2sc06016g-f2.jpg |
0.427227 | a212a077ac504a0495c55b5287d737de | (a) N2 sorption isotherm and pore size distribution of BNOF-1 at 77 K. (b) C2H2 and CO2 sorption isotherms of BNOF-1 at 273 and 298 K. (c) Comparison of C2H2 and CO2 uptakes by BNOF-1 with other C2H2-selective COF materials at 298 K. (d) Comparison of selectivity and C2H2 adsorption uptake among COFs at 298 K and 100 kPa. (e) Qst of BNOF-1 for C2H2 and CO2. (f) Comparison of adsorption amounts for N2, C2H2, and CO2 in different samples of BNOF-1. | PMC9847669 | d2sc06016g-f3.jpg |
0.55152 | 7a0b502efb354b0691e2ebf945fd81e7 | Preferential adsorption sites for (a) C2H2 and (b) CO2. Breakthrough plots for the separation of C2H2/CO2 mixtures at 298 K: (c) C2H2–CO2–Ar = 5%–5%–90%, (d) C2H2–CO2–Ar = 5%–10%–85%. | PMC9847669 | d2sc06016g-f4.jpg |
0.460925 | ffe93043eab542acb300399387920482 | The number of corporations selected in the “China Greenwashing List” from 2009–2016. | PMC9847897 | pone.0279904.g001.jpg |
0.551403 | 3a769abeff9a4fb5987b206a1e62b640 | “Shared value” that balances economic, social, and environmental values. | PMC9847897 | pone.0279904.g002.jpg |
0.40959 | ea0e8bd3c7fe4d15931db566387c2403 | Interaction between stakeholders in value creation. | PMC9847897 | pone.0279904.g003.jpg |
0.421625 | 363e9ca35e314af7adde06d0ed28d6ec | The research framework of this article. | PMC9847897 | pone.0279904.g004.jpg |
0.505929 | 2a9eb679b14440c5bf07e0385b84fc70 | Map of Prince Edward Island, Canada showing location of the Valleyfield, New Harmony, Auburn, and Brookvale Demonstration Woodlots. | PMC9848828 | zookeys-1107-001_article-82976__-g001.jpg |
0.509585 | 7dcccd3c5cd0455eb7631657cd7d5ab8 | Pityophagusferrugineus (Linnaeus) A habitus in dorsal view of female from Brookvale, Queens Co., PE, Canada B habitus in dorsal view of female from Mögstorp, Östergötland Prov., Sweden. Scale bar: 1 mm. | PMC9848828 | zookeys-1107-001_article-82976__-g002.jpg |
0.392579 | 2b553970743240f7a7acd8fbd00c4d25 | Morphological observations in H.centrochinensis YYH15442 (A, C, F, G, I) and H.fudzinoi SG1654 (B, D, H, J) A habitat C sorus position and flat lamina F type specimen (provided by National Plant Specimen Resource Center, http://www.cvh.ac.cn); and G, I spore and ornamentation in H.centrochinensis YYH15442 B habitat (taken by Hong-Jin Wei) D sorus position and flat lamina (taken by Hong-Jin Wei) H, J spore and ornamentation in H.fudzinoi SG1654 E rhizome scale, left: H.fudzinoi, right: H.centrochinensis. | PMC9849020 | phytokeys-178-081_article-67622__-g001.jpg |
0.415638 | c38cb3658f9c49a5a748ee7416616179 | Majority consensus tree derived from Bayesian tree based on 5 cpDNA loci (rbcL, atpA, matK, ndhF, and trnL-F). Numbers above the branches are support values in the order of PPBI/BSML. | PMC9849020 | phytokeys-178-081_article-67622__-g002.jpg |
0.515388 | a9759c7e16d147d38c9f9ae396789e70 | Geographic distribution of H.centrochinensis and H.fudzinoi in China. The dataset is provided by the National Specimen Information Infrastructure (http://www.nsii.org.cn). | PMC9849020 | phytokeys-178-081_article-67622__-g003.jpg |
0.412636 | 63930dabe3fd49c2a84c71e2db21acb3 | Trends in the number of new names, new combinations, and new taxa published over 50 years (1970–2020). | PMC9849020 | phytokeys-178-081_article-67622__-g004.jpg |
0.43002 | e5b8ac1d549248beb6ecce0e60fc8729 | Execution of a two-step manipulation plan. (A) Estimate of initial state and first planned manipulation (dotted green line). (B) Execution of first manipulation. (C) Planned intermediate goal and second planned manipulation (dotted green line). (D) Execution of second manipulation. (E) Goal state. | PMC9849740 | fnbot-16-1045747-g001.jpg |
0.443559 | 7af05e0b2e444d6d9ffa0372a5050bf7 | (A) A deterministic mesh representation (DMR). Left: Top-down 3D rendering of the mesh. Right: x, y, and z coordinates mapped as colour gradients in uv-space. Grey values for z-coordinates boosted for visibility. The grid texture on the 3D rendering is added for visualisation purpose only. The texture is not present in cloth observations and does not correspond to the mesh resolution. (B) A probabilistic mesh representation (PMR). Left: Top-down 3D rendering of the μ-component of the mesh. Lilac shading around the cloth indicates the σx and σy components, and lilac cast on the cloth indicates the σz component. Right: μx, μy, μz, σx, σy, σz components mapped as colour gradients in uv-space. Grey values for μz and σz boosted for visibility. (C) A voxel representation. Colour indicates mean voxel value over each voxel column parallel to the viewing angle. | PMC9849740 | fnbot-16-1045747-g002.jpg |
0.449266 | 6f886d246738492d99ea8e6792f090c5 | Calculation of trajectories. (A) Dual-handed case. Trajectories (blue lines) and release points (r1, r2) are calculated from grasp points (g1C,g2C) and displacement vector d→. In this case, d→ describes the displacement of the point in between the two grasp points. (B) Single-handed case. In this case, d→ describes the displacement of the sole grasp point g1C, so release point r1 is found by adding d→ to g1C. The grey shape in the background is the 2D projection of the cloth. | PMC9849740 | fnbot-16-1045747-g003.jpg |
0.43154 | 7fd92c8ddb3f4546bd25e0bea9581094 | (A) Global structure of the pEM*D net. (B) Dual network architecture with explicit epistemic uncertainty penalty, rolled out for 3-step plans. Green items indicate network inputs and (externally supplied) goal state. Black items are neural network modules. Blue items are state predictions. Red items are losses. Purple items comprise the epistemic uncertainty penalty calculation. | PMC9849740 | fnbot-16-1045747-g004.jpg |
0.435551 | 12f2a530338f45f4834100fc0b6a5220 | Equivalent mesh representations of a cloth shape. Geodesic (uv) coordinates are shown for the cloth corners and a gradient texture is added to visualise geodesic coordinates over the cloth surface. The representations differ in how they map geodesic space to Cartesian space, but represent the same shape. For every possible shape configuration of a square cloth, there are eight equivalent mesh representations. | PMC9849740 | fnbot-16-1045747-g005.jpg |
0.494542 | ea29187163d944009c80da6d3a3ac0e5 | Representative examples of shape estimation and refinement (test set data). Each column represents one example. The last example shows a case where the z-ordering of the cloth layers is particularly difficult to infer from the voxel representation, leading to ambiguous z-ordering in the estimate. | PMC9849740 | fnbot-16-1045747-g006.jpg |
0.415188 | 222a3ecb346844e9ab9a8558709631b0 | Example prediction results for sequences of two and three manipulations (main experiment, test set data). Input for prediction is an estimation of the original sequence’s first state and the sequence of manipulation inputs. Red and green dotted lines show manipulation trajectories. Lilac circles mark grasp point candidates. Yellow dotted lines on predictions indicate the predicted displacement of the cloth’s centre point. Trajectories that extend outside the viewport are wrapped around the border for visualisation purposes. The last example shows a case where the system fails to predict that the shape partially unfolds during the last manipulation. | PMC9849740 | fnbot-16-1045747-g007.jpg |
0.362744 | 1992830b7a15474b8b8ea93ce0c266de | Planning accuracy plotted against prediction accuracy for all 1-, 2-, and 3-step sequences in the test set. (A) Main experiment. (B) Baseline B1 (No VtM). Error unit: length of the cloth. For predictions, errors are calculated for the μ component of the prediction. Unit is the length of the side of the cloth. | PMC9849740 | fnbot-16-1045747-g008.jpg |
0.467814 | 1cb06a02eeb9459db7c3cada4a5837ed | Representative examples of planning and execution sessions (test set data, dual-net planning). In each panel, the top row shows the original manipulation sequence. The system only sees its estimate of the current state and the final state of the original sequence (i.e., the goal state, marked with light blue background). The left column shows the sequence of cloth shapes obtained over the course of the session. The final outcome is marked with a light blue background. Rows marked “Plan #i” show the ith plan generated in the session. Each plan starts from an estimate (DMR) of the current shape, generated through the VtM net and refinement with subsequent shapes being predictions (PMRs) generated by the pEM*D net. Under the last plan, we see the system’s estimation of the obtained outcome. The right column shows the result of applying the refinement procedure to the predicted outcome of each plan. These are added for illustration, and not used by the system. They represent a plausible deterministic shape drawn from the probabilistic prediction of each plan’s outcome. All shapes are marked in their bottom left corner to indicate the shape type: R = real, E = estimation, P = prediction. Red and green dotted lines show manipulation trajectories. Lilac circles mark grasp point candidates. | PMC9849740 | fnbot-16-1045747-g009.jpg |
0.387169 | 1e507d14161c4378b1b758340c012bbb | Two-step manipulation sequences planned by the system, performed by a dual-handed robot on real cloth. See Figure 9 for the figure format. The right-most column in each example shows the sequence of actually obtained physical cloth shapes. Input states for plan generation are obtained by shape estimation on voxelised point cloud data of the real cloth. Real cloth shapes are captured at a slight angle due to the camera placement. Plans were rotated by multiples of 90° degrees around the z-axis in order to accommodate limitations of the robot’s range, and images of real cloth shapes are rotated accordingly. Scores are Intersection-over-Union scores over mask images computed for the goal and outcome, indicating the similarity of the top-down silhouettes of goal and outcome shapes, with 1.0 corresponding to a perfect match. | PMC9849740 | fnbot-16-1045747-g010.jpg |
0.475577 | 2c878229bfde41fe8849e663fb27d51f | Phenotypic variations and determination of anthocyanin content (a) The peanut seeds demonstrating red testa parental line (ZH12) and pink testa parental lines (Y9102), with their counterpart bulk F4 lines. (b) relative anthocyanins content in parental lines and bulk F4 lines. The data were presented as SE (n = 3), and the asterisks * denotes P < 0.05, ** denotes P < 0.01 and *** denotes P < 0.001 | PMC9850581 | 12870_2023_4041_Fig1_HTML.jpg |
0.448512 | f652415664234ccd8e1499e7bf6bc2e8 | Significant changes of differentially expressed genes in in bulk red and bulk pink type peanuts compared to ZH12 (red parent) and Y9102 (pink parent) (a) Statistics of up-regulated and down-regulated differentially expressed genes (DEGs) in each experimental group (b) Venn diagram analysis of pink-vs-Y1902, red-vs-ZH12, ZH12-vs-Y9102 and bulk red-vs-bulk pink dataset. The volcano plot of the both up-regulated and down-regulated DEGs in (c) bulk pink-vs-Y1902 (d) bulk red-vs-ZH12 (e) bulk red -vs-bulk pink type peanuts (f) ZH12-vs-Y9102 type peanuts. The X-axis represents log2-transformed fold-difference values, and the Y-axis represents -log10-transformed significance values. Red dots represent up-regulated DEGs, blue dots represent down-regulated DEGs, and gray represent non-DEGs | PMC9850581 | 12870_2023_4041_Fig2_HTML.jpg |
0.450283 | 421eb2dc73804841afc26b6884a8a18a | Elucidation of significantly enriched KEGG pathways involved during testa color in peanut. KEGG Pathway enrichment analysis based on the calculated P-value, and then the P-value was corrected for FDR, usually the function with Q-value <= 0.05 was regarded as a significant enrichment (a) Y9102-vs-ZH12 and (b) bulk pink-vs-bulk red testa peanuts (c) bulk pink-vs-Y1902 (d) bulk red-vs-ZH12. Source: www.kegg.jp/kegg/kegg1.html [30] | PMC9850581 | 12870_2023_4041_Fig3_HTML.jpg |
0.425494 | 4e8c586bb46a4bff9f86dc63da7d9ac1 | Reprogrammed expression of genes involved in the phenylpropanoid and flavonoid/anthocyanin biosynthetic pathways regulating red and pink testa development in peanut. The level of transcript abundance in the heatmaps was scored using log2-transformed fold-change values for each experimental group. PAL, phenylalanine ammonia lyase; C4H, cinnamate 4-hydroxylase; 4CL, 4-coumarate: CoA ligase; CHS, chalcone synthase; CHI, chalcone isomerase; CHR, chalcone reductase; F3H, flavanone 3-hydroxylase; IFS, 2-hydroxyisoflavanone synthase; F3’H, flavonoid 3′-hydroxylase: flavonoid 3′5′-hydroxylase; DFR, dihydroflavonol 4-reductase; ANS, anthocyanidin synthase; UFGT, UDP glucose-flavonoid 3-O-glcosyl-transferase; MT, methyltransferase | PMC9850581 | 12870_2023_4041_Fig4_HTML.jpg |
0.399142 | efcbdda854874b2da101a72c39e05d4f | Reprogrammed expression of genes involved in the isoflavonoid biosynthetic pathway regulating red and pink testa development in peanut. The level of transcript abundance in the heatmaps was scored using log2-transformed fold-change values for each experimental group | PMC9850581 | 12870_2023_4041_Fig5_HTML.jpg |
0.394321 | a26e03b7a68946419094fab48b5cae36 | The proposed model of transcription factors-induced regulatory mechanism of peanut testa color development via anthocyanin biosynthetic pathway. The different colored oval shapes represent different types of transcription factors i.e. red; MYB, purple; bHLH and green; WRKY | PMC9850581 | 12870_2023_4041_Fig6_HTML.jpg |
0.436421 | da4cd301b60d4406afaab10dbda52f0a | Validation of gene expression level of the key functional genes likely to be involved during the regulation of pink and red testa in peanut using qRT-PCR assay (a) DEGs selected from the up-stream regulatory anthocyanin pathway (b) DEGs selected from the down-stream regulatory anthocyanin pathway (c) DEGs selected from the iso-flavonoid regulatory pathway (d) DEGs encoding important transcription factors involved in anthocyanin pathway in peanut. Pearson’s correlation analysis of the RNA-seq and qRT-PCR in (e) bulk pink-vs-bulk red peanuts and (f) Y9102-vs-ZH12 peanuts. The black bars in the y-axis indicate the relative expression level of genes quantified by qRT-PCR, whereas the white bars indicate the expression results from the transcriptome data. The x-axis demonstrates the expression results obtained from bulk pink-vs-bulk red and Y9102-vs-ZH12 testa peanuts. The data were presented as means of three independent biological replicates, and error bars denote ± SE (n = 3) | PMC9850581 | 12870_2023_4041_Fig7_HTML.jpg |
0.475376 | 7a7c9ac3ea244f3793d4515ccb91ebc7 | MTT framework topics. | PMC9850827 | nihms-1840866-f0001.jpg |
0.374379 | f6b7c6901a274f709182ba171f4a1fdc | Power loss density based on oblique incidence at the central frequency (220 GHz) for (a) Theta = 10, TE Mode (b) Theta = 10, TM Mode (c) Theta = 30, TE Mode (d) Theta = 30, TM Mode (e) Theta = 60, TE Mode (f) Theta = 60, TM Mode. | PMC9852439 | 41598_2023_28021_Fig10_HTML.jpg |
0.435966 | d9998a53cc9b4947b7ba8d27d55702ae | Curved structure (a) without and (b) with the proposed absorber. | PMC9852439 | 41598_2023_28021_Fig11_HTML.jpg |
0.471232 | a880fb5fc7d04f618ca9d96ac40731b4 | Curved structure (a) without and (b) with the proposed absorber. | PMC9852439 | 41598_2023_28021_Fig12_HTML.jpg |
0.54506 | 1f6eaf0fe6eb41e08fc9d86417c90591 | Absorber structure (a) top view and (b) 3-D view (c) schematic view of TE and TM Mode. | PMC9852439 | 41598_2023_28021_Fig1_HTML.jpg |
0.432524 | 3959a9afee404f7aa811e7d31f044be7 | Absorption of the MA with (a) the normal incidence and (b) normalized impedance of the proposed absorber. | PMC9852439 | 41598_2023_28021_Fig2_HTML.jpg |
0.561975 | c7095fb91f214158b406cd4295411873 | Reflection of the MA with the normal incidence for the physical parameters of (a) a (width of the unitcell), Hg = 1.05 and (b) Hg (height of the graphite film), a = 2.5. | PMC9852439 | 41598_2023_28021_Fig3_HTML.jpg |
0.577373 | b9ed07f1793b4af0b7e5cdeeeadf8225 | Absorption curves as a function of polarization angle (phi) under the normal incidence with a = 2.5 mm and Hg = 1.05 mm. | PMC9852439 | 41598_2023_28021_Fig4_HTML.jpg |
0.402908 | e0fb1365636c441bb17fb06e54f3b1db | The E-field distributions at (a) f = 57 GHz, TE mode (b) f = 57 GHz, TM mode (c) f = 270 GHz, TE mode and (d) f = 270 GHz, TE. | PMC9852439 | 41598_2023_28021_Fig5_HTML.jpg |
0.392814 | f979be9e6f164bb1adf078e75bc2018f | The power loss density at (a) f = 57 GHz, TE mode (b) f = 57 GHz, TM mode (c) f = 270 GHz, TE mode and (d) f = 270 GHz, TE mode. | PMC9852439 | 41598_2023_28021_Fig6_HTML.jpg |
0.434793 | 3fc5e437874f4fd1b4a686c6bab930b7 | The surface current distribution at the central frequency (220 GHz) for (a) TM and (b) TE mode. | PMC9852439 | 41598_2023_28021_Fig7_HTML.jpg |
0.442308 | 1d2ab51b1b7e465c8eacf137e86e3fcf | The absorption is based on oblique incidence (theta) (a) TE mode (b) TM mode. | PMC9852439 | 41598_2023_28021_Fig8_HTML.jpg |
0.467755 | 240beb2f5b44416093c57edfb2a09235 | E-field distributions of different oblique incidence at the central frequency (220 GHz) for (a) Theta = 10, TE Mode (b) Theta = 10, TM Mode (c) Theta = 30, TE Mode (d) Theta = 30, TM Mode (e) Theta = 60, TE Mode (f) Theta = 60, TM Mode. | PMC9852439 | 41598_2023_28021_Fig9_HTML.jpg |
0.479505 | fb2d4190703d453bb4b82e3af8498a55 | Number, crude incidence rates and age-standardised (world population, per 100,000 population) incidence rates for ocular cancers in Iran from 2004 to 2016. | PMC9852578 | 41598_2022_26349_Fig1_HTML.jpg |
0.561861 | 2664bc9eb3454f709655ca1ff2063619 | Crude incidence rates for ocular cancers by age groups in Iran from 2004 to 2016. | PMC9852578 | 41598_2022_26349_Fig2_HTML.jpg |
0.416834 | 698492a8cad9453089b4c1779e4aa8a4 | The trend in age-standardised (world population, per 100,000 population) incidence rates for (a) ocular cancers overall, (b) by age group, and (c) by gender in Iran between 2004 and 2016 (trend modeled with joinpoint regression). | PMC9852578 | 41598_2022_26349_Fig3_HTML.jpg |
0.347212 | 2d5c69b7ef664d8cb4085bf922b29ca7 | The trend in age-standardised (world population, per 100,000 population) incidence rates of carcinoma and adenocarcinoma (a) and skin canthus adnexa (b) in Iran between 2004 and 2016 (trend modeled with joinpoint regression). | PMC9852578 | 41598_2022_26349_Fig4_HTML.jpg |
0.530703 | c51c1aacd6b64c019fc1df6998099144 | Age-period-cohort parameters and functions for the incidence of ocular cancer incidence, including (a) longitudinal age curve, (b) period RR, (c) cohort RR, and (d) local drifts with net drift [the shaded gray regions represent the 95% confidence interval. The solid and dotted horizontal lines in (d) represent net drift and the 95% confidence interval; RR rate ratio]. | PMC9852578 | 41598_2022_26349_Fig5_HTML.jpg |
0.421858 | 5d440759ca7f4a87a7a495eb3f0a9f13 | The Iranian province's age-standardised incidence rates hot spots and cold spots for all ocular cancers from 2004 to 2016. Reference: “This map was created using ArcMap (V. 10.3) software by Esri. ArcGIS® and ArcMap™ are the intellectual property of Esri and are used herein under license. Copyright © Esri. All rights reserved. For more information about Esri® software, please visit https://www.esri.com”. | PMC9852578 | 41598_2022_26349_Fig6_HTML.jpg |
0.416336 | c1b31df0f693466f9789a2edc32d5dca | Main information (A) and annual scientific production (B) of publications concerning the applications of NHs for drug delivery. | PMC9852897 | fbioe-10-1099616-g001.jpg |
0.422547 | aea4dd5bf4f2426abf2d27faebb75b4a | Contributions of different countries regarding the research of NHs applications for drug delivery. (A) Global country scientific production contributions (The depth of color represents the number of articles published); (B) Top 10 countries with the highest productivity (based on the countries where the corresponding authors come from); (C) Production of the top 10 countries with the highest productivity over time. | PMC9852897 | fbioe-10-1099616-g002.jpg |
0.410073 | cd876e9208b74846bf16f791b119f482 | Cooperation of countries with regard to the applications of NHs for drug delivery. (A) The network map of cooperation relations between countries generated with R-Bibliometrix; (B) Visualized network map of cooperation relations between countries generated with CiteSpace. | PMC9852897 | fbioe-10-1099616-g003.jpg |
0.472182 | de516c60c8ad4b389e6c80c45a7946ef | Visualized analysis of institutions concerning the publications of NHs applications for drug delivery. (A) The top 10 institutions with the most published papers; (B) Production of the top 10 institutions with the highest productivity over time. (C) The network map of cooperation relations between institutions. | PMC9852897 | fbioe-10-1099616-g004.jpg |
0.448758 | 253e5233473e4b65ba91de604adf93ad | Visualized analysis of authors and journals concerning the publications of NHs applications for drug delivery. (A) The top 10 authors with the most published papers; (B) The network map of cooperative relations between authors. (C) The top 10 most productive journals; (D)The top 10 journals with the most local cited publications. | PMC9852897 | fbioe-10-1099616-g005.jpg |
0.402207 | c9956366bfd24ebb85d2d396a490f202 | Part of dual-map overlay for journals related to the applications of NHs for drug delivery. | PMC9852897 | fbioe-10-1099616-g006.jpg |
0.430369 | 3181e08bf0c84dc48c7585b208cc6878 | Visualized analysis of keywords regarding the publications on the applications of NHs for drug delivery. (A) The keywords co-occurrence network; (B) Keywords burst analysis indicated by the map of “Top 16 Keywords with the Strongest Citation Bursts”; (C) The timeline of clustering for keywords; (D) Map of keywords trend topics. | PMC9852897 | fbioe-10-1099616-g007.jpg |
0.441649 | 8105b1818dbe4ccea5731ce1b509abf1 | The analysis of references regarding the publications on the applications of NHs for drug delivery. (A,B) The visualized network map and clustering timeline of the co-cited references; (C) Top 16 References with the Strongest Citation Bursts. | PMC9852897 | fbioe-10-1099616-g008.jpg |
0.45648 | de272d7ad0dd43e1925540223f0c9c60 | Landmark articles related to the applications of NHs for drug delivery. | PMC9852897 | fbioe-10-1099616-g009.jpg |
0.457803 | b0e63284c6634de58a5a83c06dd59801 | Sound pressure levels from multiple sources. Measurements with a single microphone can only record the combined sound pressure level. | PMC9852937 | gr1.jpg |
0.404631 | cf2149a56fca45119fe0365897ef1ce1 | a) Microphone array in anechoic chamber, b) Prototype paired with calibrated SLM for noise measurements. | PMC9852937 | gr2.jpg |
0.404715 | cf23cc2c0f3f4aa78d5ebfcb1fca498c | DOA detection with DSS algorithm: a) Plane sound waves are detected by a microphone array, b) ASDF is calculated for each pair of microphones, c) Beam pattern of the detected noise source is generated. | PMC9852937 | gr3.jpg |
0.491267 | 43649cc27cc94c9ca0abd2c7b9adff59 | Three different scenarios with three different noise sources with different parameters and contributions to the total noise level at the immission point. | PMC9852937 | gr4.jpg |
0.472625 | e1e69cb3a8ac41348f8933c18a1ce6c5 | a) Sound pressure level and the detected direction of the dominant noise source plotted against time, b) Three different examples of source dominance Θ behaviour. | PMC9852937 | gr5.jpg |
0.457213 | 4b5b1469ab324c6d98d885858d977745 | a) Location of the measurement points in Ljubljana, b) Immission directivity for the measurement point near the railroad and the warehouse (MP1), c) Immission directivity at the parking lot of the Faculty of Mechanical Engineering (MP2), d) Immission directivity in the train station Moste (MP3), [128]. | PMC9852937 | gr6.jpg |
0.493745 | 22e895f662bd402dbf39aedc07207e92 | Recorded data of Lp,A, direction and source dominance Θ from MP1 of: a) The entire measurement, b) Train pass-by. Classified data points from MP1 plotted against: c) Time and Lp,A, d) Direction and Lp,A (together with immission directivity), d) direction by their total number in each class. | PMC9852937 | gr7.jpg |
0.558385 | 3f6f9afdce9d4e038dfffec2bb8de33e | Recorded data of Lp,A, direction and source dominance Θ from MP2 of: a) The entire measurement, b) Train pass-by. Classified datapoints from MP2 plotted against: c) Time and Lp,A, d) Direction and Lp,A (together with immission directivity), d) direction by their total number in each class. | PMC9852937 | gr8.jpg |
0.482872 | fb7f3173402448c4a1ad13d9f38eda28 | Recorded data of Lp,A, direction and source dominance Θ from MP3 of: a) The entire measurement, b) Train pass-by. Classified data points from MP3 plotted against: c) Time and Lp,A, d) Direction and Lp,A (together with immission directivity), d) direction by their total number in each class. | PMC9852937 | gr9.jpg |
0.463669 | 5b63dc664a334e42916aa05360b2501d |
(A)
Schematic representation of geminiviral replication. DNA polymerase α is required to convert the viral ssDNA genome to the dsDNA replicative intermediate, which is then replicated by DNA polymerase δ to produce new viral ssDNA. The virus-encoded C3 protein interacts with DNA polymerase α (POLA2 subunit) and DNA polymerase δ (POLD2 subunit), and enhances geminiviral replication probably through mediating selective recruitment of these holocomplexes to the viral genome.
(B
and
C)
Multiple sequence alignment of proteins encoded by
AtPRIM1
,
NbPRIM1
-
1
,
and
NbPRIM1
-
2
or proteins encoded by
AtPRIM2
,
NbPRIM2
-
1
,
and
NbPRIM2
-
2
(https://www.genome.jp/tools-bin/clustalw).
(D)
Developmental phenotypes of
NbPRIM1
-
and
NbPRIM2
-silenced
N. benthamiana
plants. TRV empty vector (TRV-EV) is included as control. Images were taken at 2 weeks post-inoculation (wpi). Scale bar: 5 cm.
(E)
Silencing efficiency of
PRIM1
and
PRIM2
in TYLCV-inoculated
N. benthamiana
plants in (F).
NbPRIM1
-
1/2
and
NbPRIM2
-1/2
transcript accumulation in silenced and control plants, measured by RT-qPCR.
NbActin
was used as reference gene. Values are presented relative to those in the TRV-EV plants. Error bars represent SD with n=5 independent biological replicates. Samples were taken at 2 wpi. Asterisks indicate a statistically significant difference according to Student’s t test (****, P<0.0001). This experiment was repeated three times with similar results; results from one experiment are shown.
(F)
Viral accumulation in local TYLCV infections (3 days post-inoculation) in
NbPRIM1
-silenced,
NbPRIM2
-silenced, or control (TRV-EV)
N. benthamiana
plants measured by qPCR. Plants inoculated with the empty vector (EV) are used as negative control. Error bars represent SD with n=5 independent biological replicates. The 25S ribosomal DNA interspacer (
ITS
) was used as reference gene; values are represented relative to
ITS
. Asterisks indicate a statistically significant difference according to Student’s
t
-test (**, P<0.01). These experiments were repeated three times with similar results; results from one experiment are shown.
| PMC9853271 | 25789430-2023-micropub.biology.000735.jpg |
0.405884 | ad48cb4fa6c74d5c8243f60d7d20c279 | Testosterone concentrations in ng/ml plasma of intact, sham-operated, sterilized and castrated males. Data are presented as medians, minimum and maximum values. T1, testosterone concentrations before surgery; T2, testosterone concentrations about 5 days before start of experiment (1 male and 2 females were put together in a new enclosure); T3, testosterone concentrations 1 week after introduction into the new enclosure; T4, testosterone concentrations 2 weeks after introduction into the new enclosure. Statistics: Kruskal-Wallis tests, post-hoc Holm-Bonferroni corrected Mann-Whitney U-tests. Nintact = 10, nsham−operated = 8, ncastrated = 14, nsterilized = 4. *p < 0.05, **p < 0.01 (after Holm-Bonferroni correction). | PMC9853291 | fvets-09-1093157-g0001.jpg |
0.456959 | beecd6c1b98d41c28fcad74b85859817 | Cortisol concentrations in ng/ml plasma of intact, sham-operated, sterilized and castrated males before and shortly after introduction (1 male and 2 females were put together in a new enclosure). Data are presented as medians, minimum and maximum values. Before introduction: blood sample taken just before start of experiment; 2 h after introduction: blood sample taken 2 h after introduction in the new enclosure. Statistics: Kruskal-Wallis tests, post-hoc Holm-Bonferroni corrected Mann-Whitney U-Tests. Nintact = 10, nsham−operated = 8, ncastrated = 14, nsterilized = 4. *p < 0.05 (after Holm-Bonferroni correction). | PMC9853291 | fvets-09-1093157-g0002.jpg |
0.383342 | a5c949f0456247af9cb2e59568267644 | Baseline cortisol concentrations in ng/ml plasma of intact, sham-operated, sterilized and castrated males during cortisol response tests. Data are presented as medians, minimum, and maximum values. CRT1, cortisol response test before surgery; CRT2, cortisol response test about 4 days before start of experiment (1 male and 2 females were put together); CRT3, cortisol response test 1 week after start of experiment; CRT4, cortisol response test 2 weeks after start of experiment. Statistics: Kruskal-Wallis tests, post-hoc Holm-Bonferroni corrected Mann-Whitney U-Tests. Nintact = 10, nsham−operated = 8, ncastrated = 14, nsterilized = 4. *p < 0.05 (after Holm-Bonferroni correction). | PMC9853291 | fvets-09-1093157-g0003.jpg |
0.368511 | 8ec6b5effe604db28d55711ad640fd99 | Response values of cortisol in ng/ml plasma of intact, sham-operated, sterilized and castrated males after 1 h (left panel) and after 2 h (right panel) during cortisol response tests. Data are presented as medians, minimum and maximum values. CRT1, cortisol response test before surgery; CRT2, cortisol response test about 4 days before start of experiment (1 male and 2 females were put together); CRT3, cortisol response test 1 week after start of experiment; CRT4, cortisol response test 2 weeks after start of experiment. Statistics: Kruskal-Wallis tests, post-hoc Holm-Bonferroni corrected Mann-Whitney U-Tests. Nintact = 10, nsham−operated = 8, ncastrated = 14, nsterilized = 4. **p < 0.01 (after Holm-Bonferroni correction). | PMC9853291 | fvets-09-1093157-g0004.jpg |
0.401988 | 82336afb132d462a8f34577e1b5f4c13 | A heatmap of the expression of innate and adaptative immune genes in horses before and after a competition. The differences among the individuals and states (before and after the competition) are shown by differences in color according to the scale for higher (red) or lower (green) gene expression. | PMC9854435 | animals-13-00308-g001.jpg |
0.417983 | d081e2f5df6749aa8e5197e4a90e9aa5 | Transcriptional changes of the 84 innate and adaptative immune genes in horses. The horizontal line (dashed) indicates a p-value threshold of 0.05. Genes with data points in the upper left (downregulated and red) and upper right (upregulated and green) sections showed greater than the 1-fold regulation and p-value thresholds. Genes with identical expression patterns grouped around the 0 fold change and p-value. | PMC9854435 | animals-13-00308-g002.jpg |
0.472363 | 13ff9f4423834a8fae7fe493d3c760c2 | Changes in the transcriptional activity of immune response genes in horses, showing only those that were statistically significant for the overall analysis (both sexes combined) or for each individual sex. The expression before the exercise was set to 0. Significant fold differences were considered to be those greater than +1 or −1. | PMC9854435 | animals-13-00308-g003.jpg |
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