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0.526572 | ff289623d33c4fd7808d9d487dd44d41 | The Stress-strain curves for Ti-xNb-10Zr (x: 10 and 20; at. %) (a) alloys with low porosities, (b) alloys with high porosities. | PMC10302561 | materials-16-04240-g008.jpg |
0.454484 | 89848b98b7bf40488d7034e390b4411d | Results of electrochemical corrosion tests for Ti-xNb-10Zr (x: 10 and 20; at. %). (a) Alloys with low porosities; (b) Alloys with high porosities. | PMC10302561 | materials-16-04240-g009.jpg |
0.413915 | 4bd2c1824c3245e49ac31bdc13125393 | (a) L929 and (b) Saos-2 cell viability results for all Ti-(x)Nb-10Zr (x: 10 and 20; at. %) alloys with low porosity (wlp), high porosity (whp), and the reference TiGR4 extracts for 1-day, 3-day, and 7-day measured by MTT assay. Data represent mean ± SD, n = 3. *, ** for p < 0.05. | PMC10302561 | materials-16-04240-g010.jpg |
0.378768 | 6b6f325fa39e4c70a547c0b436b63a9a | The images of (a) L929 and (b) Saos-2 cells upon exposure to Ti-xNb-10Zr (10, and 20; at. %) alloys with low porosity (wlp), with high porosity (whp), and the reference TiGR4 for 1-day, 3-day, and 7-day were taken by fluorescence microscope with 10× magnification. | PMC10302561 | materials-16-04240-g011.jpg |
0.450968 | a0838839304b4f5b994851f4cecf987e | SEM images of viable (a) L929 and (b) Saos-2 cell lines for Ti-xNb-10Zr (x: 10 and 20; at. %) alloys with low porosity (wlp), with high porosity (whp), and the reference TiGR4 extracts for 1-day and 7-day. SEM images were taken with 500× magnification; 2500× magnification images taken from the red squares area in the 500× images. | PMC10302561 | materials-16-04240-g012.jpg |
0.443992 | da4bdc5bd00b4ebe8e141a7b67b3a115 | Adsorption of Fibronectin on Ti-xNb-10Zr (x: 10 and 20; at. %) with low porosity (wlp), with high porosity (whp), and the reference TiGR4 determined after 2 h incubation at 37 °C in a 5% CO2 atmosphere by ELISA method. Data represent mean ± SD, n = 3, * for p < 0.05. | PMC10302561 | materials-16-04240-g013.jpg |
0.478316 | bb1f41eeeab6424990c2597432a8e57e | In vitro antifungal activity of the endophytic bacterium P. poae strain CO against F. graminearum strain PH-1 (A). The inhibition of mycelium growth in potato dextrose agar (PDA) and potato dextrose broth (PDB) mediums (B). TEM and SEM images of Fg strain PH-1 treated and untreated with endophytic bacterium strain CO (C). Data are mean value ± standard error of three replicates, and bars with the same letters are not significantly different in the LSD test (p < 0.05). | PMC10302817 | plants-12-02277-g001.jpg |
0.448494 | a072d8e473d442439a2083851d7f2976 | In vitro antifungal activity of CFSs at different concentrations against F. graminearum strain PH-1. The inhibition of mycelium growth (A,B) and the inhibition of colony number (C,D). Data are mean value ± standard error of three replicates, and bars with the different letters are significantly different in the LSD test (p < 0.05). | PMC10302817 | plants-12-02277-g002.jpg |
0.405743 | d0aecc8f36dc4f94a8d59cf107db2997 | In vitro antifungal activity of CFSs at different concentrations against spore germination and germ tube length of F. graminearum strain PH-1. Inhibition of spore germination (A), inhibition of germ tube length (B), and light microscope images of spores treated with different concentrations of CFSs (C). Data are mean value ± standard error of three replicates, and bars with the different letters are significantly different in the LSD test (p < 0.05). | PMC10302817 | plants-12-02277-g003.jpg |
0.488231 | 991f26c1eeae4f07a4e9ce92adaeea18 | Effect of the CFSs at different concentrations on deoxynivalenol (DON) production. Data are mean value ± standard error of three replicates, and bars with the different letters are significantly different in the LSD test (p < 0.05). | PMC10302817 | plants-12-02277-g004.jpg |
0.377699 | cc1a8d4c7f484854bf1ecc55ca9ac575 | Phylogenetic tree of the endophytic bacterium P. poae strain CO isolated from garlic leaves, constructed using 16S rRNA gene sequences. | PMC10302817 | plants-12-02277-g005.jpg |
0.380112 | 8da51307f73f465bbf92ac31a81decdc | Inhibition of FSB under greenhouse condition using endophytic bacterium. The P. poae strain CO enhanced seedling-emergence growth in infected soil experimentally. | PMC10302817 | plants-12-02277-g006.jpg |
0.455776 | 1013dca5c0054ef69861c2064b508dcc | Protection of seedlings by the endophytic bacterium P. poae strain CO against FSB. The lesion size 7 days after inoculation was reduced in the coleoptiles of seedlings treated with Fg + P. poae compared to coleoptiles treated with Fg (A,B). Disease severity was reduced in the leaves of seedlings treated with Fg + P. poae compared to leaves treated with Fg (C,D). Data are mean value ± standard error of three replicates, and bars with the different letters are significantly different in the LSD test (p < 0.05). | PMC10302817 | plants-12-02277-g007.jpg |
0.424448 | 4a184f68862148e3af928f508bd28bf6 | Detection of enzymatic activity and siderophore production of endophytic bacterium P. poae stain CO; zone diameter (mm) of cellulase, protease, amylase, and lipase of strain CO (A); colonies of P. poae surrounded by zones of extracellular enzymatic activity in the Petri dishes (B); siderophores unit (C); siderophores diameter (mm) (D); and the endophytic bacterium strain CO changed the CAS color from blue to purple, indicating its ability to produce siderophore (E). Data are mean value ± standard error of three replicates, and bars with the same letters are not significantly different in the LSD test (p < 0.05). | PMC10302817 | plants-12-02277-g008.jpg |
0.478662 | cfe4690360ae41a3b4d8f802fe2c94c9 | Detection of metabolites produced by endophytic bacterium P.poae strain CO using MALDI—TOF MS. | PMC10302817 | plants-12-02277-g009.jpg |
0.407636 | bd6c3a4592a84be7850606efa5e0670b | Effect of endophytic bacterium P. poae strain CO on the growth of wheat seedlings (A): root length; (B): shoot length; (C): root fresh weight; (D): shoot fresh weight. (E): root dry weight; (F): shoot dry weight; (G): seedlings treated and untreated with CO. (H): Plant growth properties assay: indole-3-acetic acid (IAA); nitrogen fixation (NF); and phosphate solubilization (PS). Data are mean value ± standard error of three replicates, and bars with the different letters are significantly different in LSD test (p < 0.05). | PMC10302817 | plants-12-02277-g010.jpg |
0.454233 | 3e1445cf2c3249a394b10ad07307ba5a | Factor loading scores of dietary patterns identified using principal component analysis. DP 1—‘Unhealthy’ dietary pattern; DP 2—‘Fish-eggs-fruits-vegetables’ dietary pattern; DP 3—‘Cereals-confectionaries’ dietary pattern; DP 4—‘Legumes-dairy’ dietary pattern; DP 5—‘Meat-sugar-sweetened beverages’ dietary pattern. Red circle : food group perceived to be healthy; blue circle : food group perceived to be unhealthy; purple circle : food group consisting of healthy and unhealthy food items. | PMC10302866 | nutrients-15-02819-g001.jpg |
0.455704 | f77f67bc24c14f6cb8459d456c88e48f | Top food sources of ‘Cereals-confectionaries’ dietary pattern. The food item’s percent distribution from the dietary pattern is based on the total amount consumed (g/day). | PMC10302866 | nutrients-15-02819-g002.jpg |
0.406156 | 26ce4d31b12a4b25a63c18e380acc93d | Performance of the OCT-guided strategy for retreatment decisions in comparison to the gold standard (visual acuity + OCT). DEX-i: dexamethasone implant; DME: diabetic macular edema; FAc-i: fluocinolone acetonide implant; OCT: optical coherence tomography; PRN: pro re nata; TAE: treat and extend; VA: visual acuity; anti-VEGF: anti-vascular endothelial growth factor. | PMC10303486 | pharmaceutics-15-01607-g001.jpg |
0.464583 | a23a3e9eaea64e419d742b21b32c55cd | Linear regression plot for visual acuity (VA, ETDRS Scale) and central retinal thickness (CRT, panel (A)) or maximal retinal thickness (MRT, panel (B)) at the study visit. Correlation analysis performed using Spearman’s test showed a significant negative association for CRT (r = −0.39; p = 0.004) and MRT (r = −0.51, p < 0.0001). | PMC10303486 | pharmaceutics-15-01607-g002.jpg |
0.429531 | 9e59330c3e42401cb258ead39aace632 | Schematic presentation of G-quadruplex-based label-free fluorescence aptasensor assay. | PMC10304070 | molecules-28-04841-g001.jpg |
0.550787 | 0a35deccf4714334956f98d12b8c4946 | Fluorescence intensity of the aptamer/ThT mixture without OTA and with OTA (150 nM). | PMC10304070 | molecules-28-04841-g002.jpg |
0.425327 | 14673136458248bbb1d3f43be3c13a91 | Molecular docking results between OTA and its aptamer. | PMC10304070 | molecules-28-04841-g003.jpg |
0.425942 | 9352637e41864ed79cc66a7df6d9ba55 | Effects of different OTA aptamer (a) and ThT (b) concentrations on fluorescence intensity. | PMC10304070 | molecules-28-04841-g004.jpg |
0.574594 | 93172f83f675450c8ff193b941e38ac0 | Calibration plot of changes in fluorescence intensity with various concentration of OTA. | PMC10304070 | molecules-28-04841-g005.jpg |
0.468139 | fcc7af42f5944229b955f8d6ec343b85 | Selectivity assessment of the aptasensor for OTA. | PMC10304070 | molecules-28-04841-g006.jpg |
0.425771 | 98c50f44db7e46208b296b691e950f5c | Characteristic information of temperature rise region of abnormally heating composite insulators. | PMC10304211 | polymers-15-02715-g001.jpg |
0.417819 | 7d1f70c8b5364d2cacd8a2450d71fd19 | Abnormal heating composite insulator temperature rise area range and quantity statistical information. (a) Number of temperature rise areas; (b) range of temperature rise areas. | PMC10304211 | polymers-15-02715-g002.jpg |
0.435181 | 9978e892a30e4003843f87e61fd05ff0 | Experimental measurement of temperature rise data in high- and low-humidity environments. (a) Low-humidity condition (30%RH); (b) high-humidity conditions (75%RH). | PMC10304211 | polymers-15-02715-g003.jpg |
0.447918 | b8de139ec57a43c1a82e55f91f59f6ef | Diagram of the test arrangement. | PMC10304211 | polymers-15-02715-g004.jpg |
0.427475 | 03b9368067504dca85c547a07fa086c4 | Infrared images of composite insulators with different defect conditions. (a) Sheath ageing (S1); (b) decay-like (S2). | PMC10304211 | polymers-15-02715-g005.jpg |
0.462679 | c53a4dd9974b4de69024f51293d99b89 | Microscopic appearance of the surface of the mandrel in the heating area of two specimens. (a) S1 test sample; (b) S2 test sample. | PMC10304211 | polymers-15-02715-g006.jpg |
0.542139 | 22a60fc5093b4797af9a49fea8b29d64 | TGA results of different samples. | PMC10304211 | polymers-15-02715-g007.jpg |
0.424039 | 4872038c7a2f446585fd04f02ff1ada5 | Composite insulator model. | PMC10304211 | polymers-15-02715-g008.jpg |
0.437938 | 8faac247903546c28e2ea85509c9b620 | Dielectric equivalent circuit diagram. | PMC10304211 | polymers-15-02715-g009.jpg |
0.436335 | df1653b3517c4132a5170fa728d29c06 | Schematic diagram of the heat transfer process of composite insulator. (a) Mandrel deterioration; (b) sheathing problems. | PMC10304211 | polymers-15-02715-g010.jpg |
0.443432 | 8844b767035e4a7faa20bb3ea514583b | Surface temperature rise distribution of composite insulator. (a) Mandrel deterioration; (b) sheath ageing. | PMC10304211 | polymers-15-02715-g011.jpg |
0.414536 | 350f025b899c4c0e8969a63bba593549 | Temperature rise distribution curve of high-voltage end of composite insulator. (a) Mandrel deterioration; (b) sheath ageing. | PMC10304211 | polymers-15-02715-g012.jpg |
0.44221 | 2dd11109d3324a6b9dbc7d98ba388f4a | Temperature rise gradient curve of high-voltage end of composite insulator. (a) Mandrel deterioration; (b) sheath ageing. | PMC10304211 | polymers-15-02715-g013.jpg |
0.423031 | c848c817bc9747a7bd7bf96dee534ebf | Current density distribution at high-voltage end of composite insulator. (a) Mandrel deterioration; (b) sheath ageing. | PMC10304211 | polymers-15-02715-g014.jpg |
0.425 | 155c5fcd31f443eba376c5865c624ed3 | Radial conduction heat flux density distribution at high-voltage end of composite insulator. | PMC10304211 | polymers-15-02715-g015.jpg |
0.425354 | aa982642ad12412fb895c5a3d6542501 | Axial temperature gradient distribution of high-voltage end of composite insulator. (a) Mandrel deterioration; (b) Sheath ageing; (c) axial temperature gradient distribution at the high-voltage end. | PMC10304211 | polymers-15-02715-g016a.jpg |
0.400792 | 51cc4abb205443cea74c9eb5e659654a | Statistics of characteristic coefficient of temperature rise gradient. | PMC10304211 | polymers-15-02715-g017.jpg |
0.428657 | 5ac4ce19849e4cf88c7ca14edd9ed548 | Temperature rise gradient curves of S1 and S2. (a) Axis temperature rise gradient curve of S1; (b) axis temperature rise gradient curve of S2. | PMC10304211 | polymers-15-02715-g018.jpg |
0.530226 | 041279a4793c47b3a50f345ac35abbf9 | Chemical structures of U50,488, salvinorin A, and 16-bromo salvinorin A. The green dashed box indicates the C2 position of previously investigated analogues of salvinorin A [65]. | PMC10304272 | molecules-28-04848-g001.jpg |
0.442336 | 3fbc619ef9fe4b968f6c7903854a4dec | Results of the warm water tail withdrawal assay in vehicle-, salvinorin A (SalA; 1.0 mg/kg)-, or 16-bromo SalA (16-BrSalA; 1.0 mg/kg)-treated mice (n = 8–11/treatment). (a) Effect of treatment on % maximal possible antinociceptive effect as a function of time. (b) Area under the curve (AUC) data for each treatment. * p < 0.05, ** p < 0.01, and *** p < 0.001 compared to the vehicle (Dunnett’s test). | PMC10304272 | molecules-28-04848-g002.jpg |
0.396302 | 8f7968e808874db2a3d3f6fc7f63fdc0 | Anticocaine effects of 16-BrSalA. (a) Total active lever responding during cocaine (20 mg/kg) + cue-induced reinstatement following vehicle, SalA (0.3 mg/kg), or 16-BrSalA (0.3, 1.0 mg/kg) treatment (n = 6; data partially reproduced from [60]). (b) Time course of cocaine (20 mg/kg) + cue reinstatement data (with an inset showing summed totals) displaying the effect of nor-binaltorphimine (nor-BNI; 10 mg/kg) on 16-BrSalA (1 mg/kg) treatment (n = 3). (c) Cocaine-induced (20 mg/kg) ambulatory counts (with an inset showing summed totals) in vehicle- and 16-BrSalA (1.0 mg/kg)-treated rats (n = 6/treatment). (d) Total number of cocaine (1 mg/kg) infusions (and break point/number of responses) earned on a progressive ratio schedule of reinforcement following vehicle, U50,488 (10.0 mg/kg), U69,593 (1.0 mg/kg), SalA (0.3, 1.0 mg/kg), or 16-BrSalA (1.0, 2.0 mg/kg) treatment (n = 14). * p < 0.05, ** p < 0.01, and *** p < 0.001 compared to the vehicle (Dunnett [a,d] and Tukey [b,c] tests). #
p < 0.05, ##
p < 0.01, and ###
p < 0.001 compared to + nor-BNI (Tukey test). | PMC10304272 | molecules-28-04848-g003.jpg |
0.449518 | c0fb930d9481488491c53c3ce852a5e3 | Effect of 16-BrSalA on dopamine (DA) transporter (DAT) function. DA uptake kinetics over 0–4 μM concentrations in vehicle- and 16-BrSalA (500 nM)-treated nucleus accumbens (NAcc) (a) as well as dorsal striatal (dSTR) (b) tissue suspensions as measured by rotating disk electrode voltammetry (RDEV) using a low to infinite trans model (n = 9 samples/region/treatment). (c) 4-[4-(dimethylamino)styryl]-N-methylpyridinium (ASP+) uptake kinetics over 0–16 μM concentrations in vehicle- and 16-BrSalA (10 μM)-treated HEK-293 cells coexpressing the DAT and kappa opioid receptor (KOR) as measured via time-resolved fluorescence imaging (auto-fluorescence units/s (AFU/s), n = 17–51 cells/concentration/treatment). Effect of nor-BNI (1 μM) treatment on 16-BrSalA (500 nM)-induced change in uptake of 2 μM DA in rat NAcc (d) and dSTR (e) tissue suspensions as measured through RDEV using the zero trans model (n = 8–9 sections/region/treatment). (f) SalA (10 μM)- and 16-BrSalA (5, 10 μM)-induced change in uptake of 10 μM ASP+ in HEK-293 cells coexpressing the DAT and KOR as well as the effect of pretreatment with nor-BNI (1 μM) or U0126 (20 μM) (n = 38–65 cells/treatment). ** p < 0.01, **** p < 0.0001 (Dunnett’s test). #
p < 0.05, ##
p < 0.01 (Tukey test). | PMC10304272 | molecules-28-04848-g004.jpg |
0.468573 | 9ccfacca8cbc4d49b2483726803c4cfb | Effect of 16-BrSalA compared to SalA and other KOR agonists in various preclinical side effect assays. (a) Time spent on the open arms of the elevated plus maze as a function of vehicle, SalA (0.3, 1.0 mg/kg), or 16-BrSalA (1.0 mg/kg) treatment (n = 15–29/treatment). (b) Time spent in the light box in the light–dark test (with an inset showing the total distance travelled) as a function of vehicle, SalA (0.3, 1.0 mg/kg), or 16-BrSalA (1.0 mg/kg) treatment (n = 9–24/treatment). (c) Mobility and immobility time in the forced swim test as a function of vehicle or 16-BrSalA (1.0 mg/kg) treatment (8–11/treatment). (d) Total active lever responses maintained by sucrose reinforcement following vehicle, U50,488 (10.0 mg/kg), U69,593 (0.3 mg/kg), SalA (0.3 mg/kg), or 16-BrSalA (1.0 mg/kg) treatment (n = 7). (e) Recognition index in the novel object recognition test as a function of vehicle, U50,488 (10.0 mg/kg), SalA (0.3, 1.0 mg/kg), or 16-BrSalA (1.0 mg/kg) treatment (n = 21). (f) Percentage of time spent in the paired chamber pre- and postconditioning with the vehicle, SalA (0.3), or 16-BrSalA (1.0 mg/kg) (n = 8–11/treatment). * p < 0.05, ** p < 0.01, *** p < 0.001, and **** p < 0.0001 (Dunnett’s [a–e] and Šídák’s [f] tests). Note that the data from the control groups have been published previously [65]. | PMC10304272 | molecules-28-04848-g005.jpg |
0.498344 | f8842c0b671f41d688e803caeb634b04 | Effect of 16-BrSalA on extracellular-signal-regulated kinases 1 and 2 (ERK1/2) and p38. Phosphorylated ERK1/2 (p-ERK1/2) was quantified in rat NAcc (a), dSTR (b), and prefrontal cortex (PFC) (c) tissue collected 0–120 min following treatment with 16-BrSalA (n = 5–7/timepoint/region). (d) p-ERK1/2 was also measured in HEK-293 cells coexpressing the DAT and KOR 0–180 min following treatment with 16-BrSalA (n = 8 dishes/timepoint). (e) Effect of treatment with nor-BNI (1 μM) or U0126 (20 μM) on 16-brSalA (10 μM)-induced ERK1/2 expression in HEK-293 cells coexpressing DAT and KOR (n = 7–8 dishes/treatment). Phosphorylated p38 (p-p38) was similarly measured in rat NAcc (f), dSTR (g), and PFC (h) tissue collected 0–120 min following treatment with 16-BrSalA (n = 5–7/timepoint/region). Representative Western blot scans are displayed above each graph. p-ERK1/2 and p-p38 expression were normalized to total ERK1/2 and p38, respectively, and expressed as fold change from the baseline (time 0/vehicle + vehicle treatment). * p < 0.05, ** p < 0.01, and **** p < 0.0001 compared to the baseline (one-sample t-test). | PMC10304272 | molecules-28-04848-g006.jpg |
0.458857 | ed2c468cf35e49dabfd80adf3cb1f230 | Effect of 16-BrSalA, SalA, and nalorphine in rhesus monkeys (n = 3). (a) Cumulative dose effect of 16-BrSalA, SalA, nalorphine, and vehicle on mean (±SEM) serum levels of prolactin. Prolactin levels are expressed as change from pre-injection values (Δng/mL). (b) Time course of mean (±SEM) blood prolactin levels following 16-BrSalA administration (0.056 mg/kg, i.v.). (c) Cumulative dose effect of 16-BrSalA and SalA on the median sedation score. | PMC10304272 | molecules-28-04848-g007.jpg |
0.372207 | 4b4740c200554aa7a028a93976bd8342 | Development of the risk nomogram (A) and the dynamic nomogram for an example (B). The nomogram to predict the risk of diabetic foot in patients with T2DM was developed with predictors including age, history of smoking, HbA1C, WBC, and LDL-C. Smoking history, 1; no smoking history, 0. | PMC10304289 | fendo-14-1186992-g001.jpg |
0.46424 | 4175bfd455c748e5ade4829469ad3a18 | The accuracy of the nomogram for predicting DF using the ROC curve, the area under the ROC curve AUC represents the ability of the model to distinguish between DF and simple type 2 diabetes. When AUC = 0.5 said that the probability of the model distinguishing diabetic foot patients was 50%, it indicated that the probability of the model distinguishing diabetic foot patients was 100%. The closer the AUC was to 1, the stronger the distinguishing ability of the model was. The area under the ROC curve of the training set and verification set of the model (AUC) was 0.827 (A) and 0.808 (B), respectively. It showed that the model has good distinguishing ability. | PMC10304289 | fendo-14-1186992-g002.jpg |
0.399986 | ff180a638ee348918d50dfa41a40b304 | Calibration curves of the DF risk in nomogram prediction. The thick dotted line represents an ideal prediction, and the thin dotted line represents the predictive ability of the nomogram. The closer the thick dotted line fit is to the thin dotted line, the better the predictive accuracy of the nomogram is. The calibration curves of the training set (A) and the verification set (B) have good agreement between the prediction probability and the actual probability, and the average absolute errors are all less than 0.05. | PMC10304289 | fendo-14-1186992-g003.jpg |
0.390321 | 2cd39c03ad054d129c8d85b9ec4f9655 | Decision curve analysis for the DF risk nomogram. The y-axis measured the net benefit. The green dotted line represented the assumption that all patients had DF. The blue dotted line represented the assumption that all patients had no DF. The solid red line represented the risk nomogram. The threshold ranges of the nomogram model in the training set (A) and verification set (B) are 0.10 to 0.85 and 0.10 to 0.75, respectively, indicating that the model has a wide range of safety and high clinical practical value. | PMC10304289 | fendo-14-1186992-g004.jpg |
0.467335 | dfa3d238b9bc4276b961d2e65a093bcf | Maps showing the sampling locations in Ningbo and photographs of the sampling sites. (A) Portion of the map of China showing the location of Ningbo. (B) Map showing the sampling locations in Meishan Wetlands (colored square indicates the sampling sites). (C) Sampling site for Pleuronema ningboensis n. sp. (D) Sampling site for Pleuronema orientale. | PMC10304819 | microorganisms-11-01422-g001.jpg |
0.472826 | b8d058f75fd546a481d885398ea71706 | Pleuronema ningboensis n. sp. in vivo (A) and after protargol staining (B–D). (A) Left ventral view of a typical individual; arrowhead shows the contractile vacuole, arrow points to caudal cilia. (B) Detail of oral apparatus. (C,D) Left ventrolateral (C) and right dorsolateral (D) views to show the ciliature. M1, membranelle 1; M2a, membranelle 2a; M2b, membranelle 2b; M3, membranelle 3; PM, paroral membrane; PK, paroral kineties; Ma, macronucleus. Scale bars = 30 μm (A,C,D); 20 μm (B). | PMC10304819 | microorganisms-11-01422-g002.jpg |
0.42839 | b68a56f885bb4c77b8db6838dd84b7ff | Pleuronema ningboensis n. sp. from life (A–E) and after protargol impregnation (F–J). (A) Left ventrolateral view of a typical individual in vivo; arrow indicates the grooves on the cell surface. (B,C) different individuals, showing the variation in cell view; arrowhead in (C) indicates the contractile vacuole. (D) Detail of the cortex; arrowhead indicates extrusomes. (E) Posterior portion of cell; arrowhead points to caudal cilia. (F) Detail of ciliature, arrowheads mark the posterior end of preoral kineties. (G) Anterior portion of the oral apparatus, arrowhead points to paroral membrane, arrow points to membranelle 2a. (H) To show membranelle 1 (arrow). (I) Posterior portion of the oral apparatus, to show membranelle 2b (arrow) and membranelle 3 (arrowhead indicates the leftmost row, double arrowheads indicate the rightmost row). (J) Left ventral view of the holotype specimen. Ma, macronucleus. Scale bars = 30 μm. | PMC10304819 | microorganisms-11-01422-g003.jpg |
0.43326 | 89d058773b284844a7d0239021cc4ccf | Pleuronema orientale from life (A) and after protargol impregnation (B–G). (A) Left ventral view of a representative individual, arrow indicates caudal cilia; arrowhead indicates contractile vacuole. (B) Detail of the oral apparatus. (C–E) To show the different numbers of macronuclei in different individuals; arrowheads indicate macronuclei. (F,G) Left ventrolateral (F) and right dorsolateral (G) views to show ciliature and macronucleus. M1, membranelle 1; M2a, membranelle 2a; M2b, membranelle 2b; M3, membranelle 3; PM, paroral membrane; PK, paroral kineties; Ma, macronucleus. Scale bars = 50 μm (A,C–G); 30 μm (B). | PMC10304819 | microorganisms-11-01422-g004.jpg |
0.394571 | 4b0dba8d80654cd1bf675f122c9cfaee | Photomicrographs of Pleuronema orientale in vivo (A–D) and after protargol staining (E–K). (A–C) Left ventrolateral views of different individuals; arrowhead in (A) marks caudal cilia, arrowheads in (B,C) point to contractile vacuole. (D) To show the detail of paroral membrane (arrowhead). (E,H) To show different numbers of preoral kineties (arrowheads). (F) Detail of double macronuclei. (G) To show membranelle 1 (arrow). (I) To show three-rowed membranelle 3 (arrow). (J) To show membranelle 2a (arrow), membranelle 2b (arrowhead), and paroral membrane (double arrowheads). (K) Left ventrolateral view of the holotype specimen. Ma, macronucleus. Scale bars = 50 μm. | PMC10304819 | microorganisms-11-01422-g005.jpg |
0.430437 | 24a074bd6d68454680b27d0a873becde | Maximum likelihood (ML) tree based on SSU rDNA sequences showing positions of Pleuronema ningboensis n. sp. and the Ningbo population of Pleuronema orientale (sequences in red). Numbers at nodes indicate the bootstrap values of maximum likelihood (ML) out of 1000 replicates and the posterior probabilities of Bayesian analysis (BI). Solid circles represent full bootstrap supports from both algorithms. Asterisks (*) indicate a mismatch in topologies between ML and BI analyses. The scale bar corresponds to five substitutions per 100 nucleotide positions. All branches are drawn to scale. The systematic classification mainly follows Gao et al. [28]. Pleuronema coronatum (JX310014) (marked with red triangle) deviates from the other three P. coronatum sequences; unfortunately, available information is not sufficient to determine its identity. Pleuronema clades of ‘coronatum-type’ and ‘marinum-type’ groups are marked with yellow and blue background colors, respectively. | PMC10304819 | microorganisms-11-01422-g006.jpg |
0.405963 | 2f5fe9a12d164bd99aa7cd09c9067e44 | Sequence comparison of the SSU rDNA showing the unmatched nucleotides between Pleuronema ningboensis n. sp. and its most closely related congeners. (A) Nucleotide positions are given at the top of each column. Matched sites are represented by dots (·). (B) Matrix showing the percentage of sequence identity (below the diagonal) and the number of unmatched nucleotides (above the diagonal). | PMC10304819 | microorganisms-11-01422-g007.jpg |
0.525109 | 8e2b7de45a724d5598128c1425d01604 | The three-wall defect of the first molar in SD rats. (a) The surgical field on the rat skull, indicating the selected sample area that was sectioned. (b) Three-wall defect procedures were performed rostral to the upper first molar using a 1.4 mm round tungsten carbide drill. The blue arrow and dotted circle on the left indicate intact bone, while the red arrow and dotted circle on the right indicate the postoperative bone defect, measuring 2 × 1.4 × 1.4 mm³. Note that the dash-dotted line in (b) indicates the histological section. | PMC10305005 | polymers-15-02649-g001.jpg |
0.429038 | 0e5fb1460be44867b173f4a3fecf7279 | Anatomical reference and calculation method. The cementum–enamel junction and bone height were chosen as anatomical references for the assessment of epithelial downgrowth and residual bone defects, and tooth width and tooth height were also considered to correct for deviations in sample section angles. In addition, the angle of the epi-tooth axis was also evaluated. | PMC10305005 | polymers-15-02649-g002.jpg |
0.437354 | 8445bd27518e4302a6ebc55b66ab6f7b | HPLF-laden collagen scaffolds constructed from dental LEDs. (a) Strain test (%) of collagen structures cured with the dental LED at different times. The stiffness of the 3 s/9 s/21 s group was higher than that of the 0 s group (*** p < 0.001). (b) The cell viability under the LED light for 3 s was higher than that of the 9 s and 21 s groups (** p < 0.01). (c–e) Collagen cell scaffolds were illuminated with the dental LED for 3 s/9 s/21 s and cell viability was tested by Live-Dead (bar: 100 µm). | PMC10305005 | polymers-15-02649-g003.jpg |
0.448906 | 47642cf4d7e44d53a8c973adb1a45853 | Immunofluorescence staining of α-SMA and ALP in the collagen scaffolds laden with HPLFs (n = 2 for each 1, 7, 14 day experiment). (a) Relative fluorescence intensity of DAPI, α-SMA/DAPI, and ALP/DAPI at 1, 7, 14 days (n = 6). (b) On the 7th day, both α-SMA and ALP expression were observed, indicating the differentiation of HPLF cells into myofibroblasts and pre-fibroblasts (bar: 100 µm). (* p < 0.05 and ** p < 0.01, compared with D1; # p < 0.05 significant between groups). | PMC10305005 | polymers-15-02649-g004.jpg |
0.42207 | 343ba109d55c46879cbab8d0b1021325 | Histology of epithelium healing and bone growth are shown. Movement of the junctional epithelium is a key factor in the progression of periodontitis. The smaller residual bone defect and well-oriented periodontal ligaments indicated better postoperative periodontal regeneration capability. (a–c) Blank, (d–f) COL_LED, (g–i) COL_HPLF, (j–l) COL_HPLF_LED. (b,e,h,k) are enlarged pictures from the small box in (a,d,g,j), respectively. The 0° direction represents the orientation of the periodontal ligament fibers that are parallel to the cemento-enamel junction (CEJ) of the tooth. A higher peak at 0° indicates well-organized periodontal ligament fibers. In the COL_HPLF_LED group, osteoblasts aggregated near the newly formed bone, and the periodontal ligament was oriented in connection with the bone and root surfaces. This finding indicated that the periodontal ligament was effectively restored and functioned well in the COL_HPLF_LED group. (Arrows indicate periodontal ligaments, and arrowheads indicate osteoblasts accumulation.) | PMC10305005 | polymers-15-02649-g005.jpg |
0.413024 | 1775f6a0ae404d8389461753f050b5ee | Combination of HPLF cells with LED-illuminated collagen scaffolds promotes periodontal tissue regeneration (Y-axis unit: %). Both (a) epithelial downgrowth and (b) relative epithelial downgrowth were significantly reduced in the COL_HPLF_LED group compared to the Blank group (** p < 0.01) and the COL_LED group (# p < 0.05, ## p < 0.01). Similarly, (c) residual bone defect and (d) relative residual bone defect were significantly reduced in the COL_HPLF_LED group compared to the Blank group (* p < 0.05) and the COL_LED group (# p < 0.05). (e) Compared with the COL_LED group, the angle between the epithelium and the tooth axis was significantly reduced in the COL_HPLF_LED group (# p < 0.05). | PMC10305005 | polymers-15-02649-g006.jpg |
0.595222 | b218dd2056684fe59f2eadc1e8d5646a | Cyclic voltammograms of 1 mmol L−1 K3[Fe(CN)6] in 1 mol L−1 KCl for CB/GC electrode (blue line), TiO2/GC electrode (green line) and for CB/TiO2/GC electrode (red line) with a scan rate of 100 mV s−1. | PMC10305077 | sensors-23-05397-g001.jpg |
0.400877 | 91e9e16fd7d54b7688cceb1e242365bf | Nyquist plot obtained in 1 mmol L−1 K3[Fe(CN)6] in 1 mol L−1 KCl for GC electrode (black) CB/GC electrode (blue), TiO2/GC electrode (green), and for CB/TiO2/GC electrode (red). | PMC10305077 | sensors-23-05397-g002.jpg |
0.422562 | 8e1aa18ba5624215a369b5e7d241585f | Cyclic voltammograms of 1 μmol L−1 sumatriptan measured in a 0.1 mol L−1 phosphate buffer (pH 6.0) on the CB-TiO2/GC electrode. The scan rate values were as follows: 6.3; 12.5; 25; 50; 100; 200; 250; and 500 mV s−1. | PMC10305077 | sensors-23-05397-g003.jpg |
0.423845 | c949708fab3e4972b6239696de705d15 | Plots of the sumatriptan peak current and potential dependence on the supporting electrolyte pH in the range 4.6–9.1 (A) and corresponding SWV voltammograms of 0.5 μmol L−1 sumatriptan for pH in the range 5.5–8.0 measured in a 0.1 mol L−1 phosphate buffer (B). Instrumental parameters as in point 2.6. | PMC10305077 | sensors-23-05397-g004.jpg |
0.459 | b5468227567d42fcad1f419c28735cf6 | Comparison of voltammograms obtained for the anodic peak of 1 μmol L−1 sumatriptan, measured in the 0.1 mol L−1 phosphate buffer (pH 6.0) on the surface of glassy carbon electrode (black line), glassy carbon electrode modified with carbon black (blue line), glassy carbon electrode modified with titanium dioxide (green line), and glassy carbon electrode modified with carbon black/titanium dioxide (red line) before and after background correction. Instrumental parameters as in point 2.6. | PMC10305077 | sensors-23-05397-g005.jpg |
0.524021 | 4f055c9ddfd84d4587a6a321aef1afae | Dependence of the sumatriptan peak current on the value of preconcentration time. SUM concentrations as follows: (a) 0.5 μmol L−1; (b) 0.05 μmol L−1; (c) 0.01 μmol L−1, and (d) 5 nmol L−1. Other instrumental parameters are the same as in point 2.6. | PMC10305077 | sensors-23-05397-g006.jpg |
0.438209 | 70adc586c37f4c6a9699761408d15221 | SWV sumatriptan calibration curves registered for the preconcentration times (a) 10 s; (b) 45 s; (c) 150 s in 0.1 mol L−1 phosphate buffer (pH 6.0) (A) and corresponding voltammograms obtained for preconcentration time 45 s in the concentration range of 10–150 nmol L−1 (B). Other instrumental parameters are the same as in point 2.6. | PMC10305077 | sensors-23-05397-g007.jpg |
0.492841 | 6f49cc6583ef42f3b266e4caa00e53c0 | Sumatriptan calibration plots in the concentration range from 1 to 5 μmol L−1 on modified SPCE in the amperometric parameters of measurements (A,B) and in the voltammetric parameters of measurements (C,D). All experiments were performed under flow injection conditions. | PMC10305077 | sensors-23-05397-g008.jpg |
0.535201 | 30274d97707f4780b2ec144cfa14e7cc | Possible scheme of sumatriptan oxidation of the glassy carbon electrode modified with carbon black and titanium dioxide suspension. | PMC10305077 | sensors-23-05397-sch001.jpg |
0.472765 | 2a7d18949c15483a81e332814a9cadef | Visualization of the RSS-based clustering. Excerpts show single likelihoods over a floorplan; overall graphic shows a combined likelihood from a set of 15 nodes. | PMC10305585 | sensors-23-05772-g001.jpg |
0.460983 | dc90ae6990a149daa43c44f7c4a1cee5 | Scenario 6.1 and 6.2. Results for synthetic scenario in single position with random clusters and schematic plot for clusters of size 1 and size 2 with variable distances. | PMC10305585 | sensors-23-05772-g002.jpg |
0.426674 | aa92e5772aec42eeb8b38d2eade1ec4b | Scenario 6.2: Results for synthetic scenario for clusters of size N = 2 with fixed distance in a circle around node l′. | PMC10305585 | sensors-23-05772-g003.jpg |
0.450716 | e5c7389365144dd68bad5f7219e3bf2d | Scenario 6.3: Results for synthetic scenario with genie-aided clusters (minimum distance to node 1). | PMC10305585 | sensors-23-05772-g004.jpg |
0.54114 | 935a165889694166ba9998de9582798d | Scenario 6.3: Floorplans with results for synthetic scenario with genie-aided clusters (showing only every 10th processed node for better visibility). | PMC10305585 | sensors-23-05772-g005.jpg |
0.482424 | c8079630844b448faf3db97cc53e7e94 | Scenario 6.4: Results for synthetic scenario with RSS-based clusters. | PMC10305585 | sensors-23-05772-g006.jpg |
0.493068 | 7c0b1ea274724173a997f78d845db9bb | Scenario 6.4: Floorplans with results for synthetic scenario with RSS-based clusters (showing only every 10th processed node for better visibility). | PMC10305585 | sensors-23-05772-g007.jpg |
0.446855 | 2e1356acc8e84ed494344ac935f67a11 | Scenario 6.4 and 6.5: Pictures of the measurement setup and room. (a) Red ellipse marking one agent node. (b) Red ellipse marking the access point antenna for controlling the agent nodes. (c) Red ellipse marking one linear 2-antenna array. (d) Red ellipse marking the PC for measurement processing. | PMC10305585 | sensors-23-05772-g008.jpg |
0.464426 | dad93ff008504ed099b9da1cb688ab6a | Scenario 6.5: Results for measurement scenario. | PMC10305585 | sensors-23-05772-g009.jpg |
0.54405 | 3ce504c30fd8493f9673c93cfc66c6fb | Scenario 6.5: Floorplans with results from measurements with RSS-based clusters (showing only every 10th processed node for better visibility). | PMC10305585 | sensors-23-05772-g010.jpg |
0.449616 | c96498dc6b7d4f56b6b15568d7d88373 | Scenario 6.5: CF plot and excerpt for different cluster sizes and cluster selection strategies. | PMC10305585 | sensors-23-05772-g011.jpg |
0.448022 | 3c05bf7bf2f74e38ba0e9b2ccb968efa | Illustration of fiber push-out experiment. Broken fiber–matrix interface partially relaxes residual stress in nearby matrix. | PMC10305614 | polymers-15-02596-g001.jpg |
0.453984 | ac3fb38057284a3d9941a56fb33d447b | Nanoindenter measuring matrix sink-in: (a) before fiber push-out; (b) after fiber push-out; (c) load-displacement data showing local matrix sink-in after push-out experiment. | PMC10305614 | polymers-15-02596-g002.jpg |
0.442049 | 5fc562d385264932bae3912bddffb271 | Flowchart of FEMU inverse algorithm calculating material parameters. | PMC10305614 | polymers-15-02596-g003.jpg |
0.408592 | 52c7d864545b486c9cd98e0d19e8c1bc | (a) Schematic of fiber push-out experiment. (b) Push-out specimen in SEM. | PMC10305614 | polymers-15-02596-g004.jpg |
0.43096 | 6ae53c008bcf4a5ab2f038ec15dda92d | Process of creating 3D FE Model based on microscopy data. (a) Detected fibers in blue. (b) Generated fibers in brown and inner zone boundary in black. (c) 3D FE Model, top view. (d) 3D FE Model, oblique view. | PMC10305614 | polymers-15-02596-g005.jpg |
0.44607 | c2261859be8e4cda94fa18138c307738 | Example of one FEM simulation. Epoxy-curing shrinkage generates through-thickness stress. Through-thickness membrane sink-in deformation is clearly shown after fiber push-out. | PMC10305614 | polymers-15-02596-g006.jpg |
0.520539 | 49293db0811e48a2a88b343b40303f2a | (a) FE model before push-out: red nodes corresponding to probed area. (b) FE model after push-out. (c) Z-displacement of probed area showing local matrix sink-in after push-out experiment. | PMC10305614 | polymers-15-02596-g007.jpg |
0.44864 | 98690821d5414856856a621b223ad4bc | Data from virtual curing experiments and their fits using resulting Kamal equation model. (a) Cases with temperature ramps. (b) Cases with isotherms. | PMC10305614 | polymers-15-02596-g008.jpg |
0.488622 | 6bae8e95e6e34beb88ddfaebb52b8002 | Cure cycle, DOC evolution, and modulus development for F3G epoxy. | PMC10305614 | polymers-15-02596-g009.jpg |
0.451004 | 16ede723ae8845f1947be889d9f46451 | SEM images and FE geometries of experimental samples analyzed with FEMU. | PMC10305614 | polymers-15-02596-g010.jpg |
0.468878 | eaa8361c65eb43c9806a93916e987178 | SEM image of Sample 5, Area 1, showing extensive matrix damage. | PMC10305614 | polymers-15-02596-g011.jpg |
0.463314 | 9b5a539284fd47058018d2bb6e7542e6 | Before push-out: normal stress Szz in the fiber direction. Only matrix part is shown. | PMC10305614 | polymers-15-02596-g012.jpg |
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