dedup-isc-ft-v107-score
float64 0.3
1
| uid
stringlengths 32
32
| text
stringlengths 1
17.9k
| paper_id
stringlengths 8
11
| original_image_filename
stringlengths 7
69
|
|---|---|---|---|---|
0.408914 | 284b879ca505448aa98ea17319be254f | Surface profile analysis in (a) finished prototype with second phase milling, (b) higher magnification of milled surface, and (c) topographical profile measurement along the traverse direction to the milling cutter. | PMC9740583 | materials-15-08631-g023.jpg |
0.436323 | 009fc668cd6446b78544e25037d6e2a2 | Illustration of prototype (a) finished after second phase of milling, (b) higher magnification of machined surface, and (c) topographical analysis in the direction of tool feed movement. | PMC9740583 | materials-15-08631-g024.jpg |
0.468345 | c7cd19ab8e7f4579962b535147d91d16 | Optical microscopy of prototype cross-section wall with 11 layers (a) at 50× magnification, and (b) site with porosity and dendritic structure visible at 500× magnification. Red arrow inset in (a) shows the direction of cutting of the WAAM cross-section of AlSi5 blade piece. | PMC9740583 | materials-15-08631-g025.jpg |
0.468662 | bdf43e5d2202472686f73ea93b28d2c5 | Tensile test-fractured specimens: (a) 5 with longitudinal angle of 0° with respect to base orientation of the layers, and (b) 7 with transverse orientation of 90° of welding layers with respect to base. | PMC9740583 | materials-15-08631-g026.jpg |
0.421671 | b24d71f4a9844fa39d7fa56437e07440 | The stress–strain graph illustrates the elongation of the test pieces (a) in the transverse direction to the welding direction, and (b) in longitudinal to welding directions. | PMC9740583 | materials-15-08631-g027.jpg |
0.409152 | 164956b7311a47aba252d8f2c7ed6720 | The time distribution histogram for the weldment-processing operations. | PMC9740583 | materials-15-08631-g028.jpg |
0.386138 | c899af84cf5d4282b4fde0566cbadd8d | The time distribution histogram for the milling operations. | PMC9740583 | materials-15-08631-g029.jpg |
0.397842 | 2bd201a6c1fb493295160aaec0e7f726 | The mechanism for preparation of PRO@DMON–GA–Fe(III) nanoparticle (A). The triggered release mechanism of prochloraz from PRO@DMON–GA–Fe(III) nanoparticles (B). | PMC9741037 | nanomaterials-12-04249-g001.jpg |
0.427671 | a6c55df071284609bb92ae34da4bab41 | EDX spectra of DMON nanoparticles, PRO@DMON nanoparticles and PRO@DMON–GA–Fe(III) nanoparticles (A). TEM mapping of PRO@DMON–GA–Fe(III) nanoparticles (B–H). | PMC9741037 | nanomaterials-12-04249-g002.jpg |
0.400204 | b814df32b7f245a4a71b849276b0402c | TEM images of DMON nanoparticles (A,C) and PRO@DMON–GA–Fe(III) nanoparticles (B,D). | PMC9741037 | nanomaterials-12-04249-g003.jpg |
0.435438 | 0a16e0d53ed7450eb985c13c28b7a45a | XPS spectra of DMON nanoparticles (A), PRO@DMON nanoparticles (B), and PRO@DMON–GA–Fe(III) nanoparticles (C). FTIR spectra of prochloraz, DMON nanoparticles, PRO@DMON nanoparticles, and PRO@DMON–GA–Fe(III) nanoparticles (D). Nitrogen adsorption–desorption isotherms (E), and BJH pore size (F) of DMON nanoparticles, PRO@DMON nanoparticles, and PRO@DMON–GA–Fe(III) nanoparticles. | PMC9741037 | nanomaterials-12-04249-g004.jpg |
0.445385 | 30c6c16b0a57485ebf1c14368d30a4e8 | Degradation behaviors of DMON nanoparticles in 10 mM glutathione solution at 0, 2, 5, and 10 days. | PMC9741037 | nanomaterials-12-04249-g005.jpg |
0.467776 | 33c216a5a75f4cdd8b9f95eb29d5c2d4 | Effect of glutathione on the release performance of prochloraz from PRO@DMON–GA–Fe(III) nanoparticles. | PMC9741037 | nanomaterials-12-04249-g006.jpg |
0.436591 | 2af380d51a6f4267869ce110c7cf23c7 | Stabilities of prochloraz technical, prochloraz emulsifiable concentrate, and PRO@DMON–GA–Fe(III) nanoparticles under UV radiation (A). Pseudo-first-order models of prochloraz photodegradation for prochloraz technical, prochloraz emulsifiable concentrate, and PRO@DMON–GA–Fe(III) nanoparticles (B). | PMC9741037 | nanomaterials-12-04249-g007.jpg |
0.471834 | def906112a0a42af848d2822cfcb58b9 | Contact angles and adhesion works of PRO@DMON nanoparticles and PRO@DMON–GA–Fe(III) nanoparticles on rice blades. | PMC9741037 | nanomaterials-12-04249-g008.jpg |
0.426464 | 289eae93cf4b466fba2e6949f0f45fdb | Fungicidal activities of prochloraz emulsifiable concentrate and PRO@DMON–GA–Fe(III) nanoparticles evaluated with Magnaporthe oryzae. | PMC9741037 | nanomaterials-12-04249-g009.jpg |
0.419288 | 1ab3f2be95ac41e39f3cc60d271c2a4d | Cubic phase stabilization without vacancy formation.a, b X-ray diffraction patterns of garnet with respect to number of dopants in Zr site. c, d X-ray and neutron diffraction patterns and Rietveld refinement of Li7La3Zr0.4Hf0.4Sn0.4Sc0.4Ta0.4O12. | PMC9741625 | 41467_2022_35287_Fig1_HTML.jpg |
0.409092 | 751fa6ed170d4cbb84cf057c5f0f76df | Local structure of Zr site and formation enthalpy with respect to number of dopant species.a Local crystal structure of the Zr site with adjacent Li site for the tetragonal phase and b the cubic-phase of garnet. Li1 and Li2 sites for the cubic-phase indicate the 24d tetrahedral and 96h octahedral site, respectively. c Calculated structural parameters of average bond distortion index and bond angle variance between metal and oxygen in the Zr octahedral site as the tetragonal and cubic phase with Li7La3M2O12 composition. d Difference in formation enthalpy energy between the cubic and tetragonal phase with respect to number of dopant species. | PMC9741625 | 41467_2022_35287_Fig2_HTML.jpg |
0.413432 | 8428707526b54f2aa3491a86a46de3cb | Operando phase evolution during calcination for various numbers of dopants in Zr site.a–c Contour plots of X-ray diffraction patterns during heating and d–f cooling process in 14–20°. White arrow indicates the temperature of cubic phase formation or phase transition temperature from cubic to tetragonal phase. | PMC9741625 | 41467_2022_35287_Fig3_HTML.jpg |
0.45088 | a2d6459550634829b02522b30a6215f8 | Electrochemical impedance variations in entropy-driven cubic-phase garnet in Li||Li symmetric cell for different lithium contents.a, b Nyquist plots for the coin-type Li||Li symmetric cells with Li7La3Zr0.4Hf0.4Sn0.4Sc0.4Ta0.4O12 and Li6.6La3Zr0.4Hf0.4Sn0.4Sc0.2Ta0.6O12 garnet at 60 °C without additional external pressure. Inset figures describe equivalent circuit model and scheme of interfacial layer structure with Li metal. c Variation in interfacial resistance for Li||Li symmetric cells as a function of time at 60 °C (time interval between measurements: 32 min). d Li stripping and plating profile of Li7La3Zr0.4Hf0.4Sn0.4Sc0.4Ta0.4O12 and e Li6.6La3Zr0.4Hf0.4Sn0.4Sc0.2Ta0.6O12 at 60 °C with a current density (J) of 0.2 mA cm–2. | PMC9741625 | 41467_2022_35287_Fig4_HTML.jpg |
0.425324 | b6fa4c4521c24b36aacfa7636cf1e0c1 | Battery performance of the quasi-all-solid-state Li||NCM111 cells comprising Li7La3Zr0.4Hf0.4Sn0.4Sc0.4Ta0.4O12 as solid electrolyte.a Electrochemical profile of solid-state batteries at 60 °C with a current density (J) of 0.8 mA/cm2 from first to fifth cycles. Inset is the Nyquist plot of the cell at 25 °C before cycling. b Charge/discharge voltage profile with current density (J) increasing from 0.6 to 2.2 mA/cm2 (∆J = 0.2 mA/cm2) at 60 °C. c Long-term cycling stability performance of the quasi-all-solid-state Li||NCM111 cell at 60 °C and 0.8 mA/cm2. | PMC9741625 | 41467_2022_35287_Fig5_HTML.jpg |
0.480666 | 44eafd455dd54825b84bfbaa5b5e72ec | Overview of proposed sentiment classification workflow | PMC9742011 | 13278_2022_998_Fig1_HTML.jpg |
0.451238 | 52320ad70efd4a6d8e0100583621b590 | Sentiment proportion of dataset | PMC9742011 | 13278_2022_998_Fig2_HTML.jpg |
0.468219 | 2c7e1c6cbaad4f869c9d39dd73b28b75 | Classification accuracy on binomial dataset | PMC9742011 | 13278_2022_998_Fig3_HTML.jpg |
0.44883 | fc11bd751ecd4778b492c706b3d9f1f3 | Classification accuracy on polynomial dataset | PMC9742011 | 13278_2022_998_Fig4_HTML.jpg |
0.434192 | 6c69f93cf56d45c08280f6fc4ee79120 | Study design and demonstration of high IGHV1-69 diversity among the donors(A) Schematic representation of the sampling of 14 SARS-CoV-2 RT-PCR+ study participants followed by IGH genotyping and memory B cell sorting 7 months after the infection.(B) Spike-specific IgG in serum samples from the 14 study participants.(C) Serum ID50 neutralization values against the ancestral virus in the serum samples.(D) Amino acid sequence alignment of functional human IGHV1-69 alleles.(E) A summary plot showing which IGHV1-69 alleles were present in each study participant.(F) Schematic illustration of IGHV1-69 alleles present on each chromosome of eight study participants. Neutralization measurements were repeated twice.See also Figure S1. | PMC9742198 | gr1_lrg.jpg |
0.423525 | 7e86839d213849a68061a63176bfa571 | Spike-specific memory B cell sorting yields several IGHV1-69∗20-using neutralizing mAbs(A) Dendrogram showing IGHV, IGKV, and IGLV alleles present in SP14.(B) Panels showing the gating strategy used to sort single S-specific CD20+CD27+IgG+ B cells.(C) Comparison of IGHV allele usage in the total and spike-specific IgG repertoires of SP14.(D) Number of HC sequences from sorted B cells and clonal lineages derived from the total HC sequences.(E) Pie chart showing the proportion of neutralizing (blue) and non-neutralizing (orange) antibodies among the 29 isolated mAbs.(F) Genetic and functional properties of the 15 neutralizing mAbs isolated from SP14. Neutralization measurements were repeated twice.See also Figure S2. | PMC9742198 | gr2_lrg.jpg |
0.452219 | 314de188b5204f128db782d2b1e223e1 | IGHV1-69 allele usage influences CAB-I47 neutralizing activity(A) Amino acid sequence alignment of the IGHV1-69∗20 germline allele with the V gene region of CAB-I47.(B) The design of CAB-I47 germline-reverted HC sequences and swaps to the IGHV1-69 germline alleles ∗20, ∗01, ∗02, ∗04, ∗06, or ∗10, which were paired with the mature CAB-I47 LC for functional testing (left). Neutralizing activity of the variant mAbs against the ancestral SARS-CoV-2 strain is shown as curves (middle) and IC50 values (μg/mL) (right).(C) Design of the mature CAB-I47 with the HCDR2 F55L substitution, paired with the CAB-I47 mature LC (top panel). Neutralization activity of CAB-I47 and CAB-I47 F55L against the ancestral SARS-CoV-2 strain (bottom left) and IC50 values (μg/mL) (bottom right). Neutralization measurements were repeated twice.See also Figure S3. | PMC9742198 | gr3_lrg.jpg |
0.418845 | 574245b6837e413b84fdf07f31a69e2c | IGHV1-69∗20-using neutralizing mAbs isolated in an independent donor(A) Dendrogram showing IGHV alleles present in SP13.(B) Serum ID50 neutralization values against ancestral SARS-CoV-2 at pre- and post-vaccination time points.(C) Panels showing the gating strategy used to isolate single spike-specific CD20+CD27+ IgG B cells.(D) Comparison of IGHV allele usage in the total and spike-specific IgG repertoire of SP13.(E) Pie chart showing the number of HCs of the total IGHV1-69-using HCs using a given IGHV1-69 allele from the sorted B cells.(F) Genetic and functional properties of the selected neutralizing mAbs.(G) Neutralization of the ancestral SARS-CoV-2 strain by the mature CAB-M77 and CAB-N86 mAbs with and without the F55L mutation.(H) Neutralizing activity by CAB-M77 and CAB-N86 with their HC V gene regions reverted to the IGHV1-69 germline alleles ∗20, ∗01, ∗02, ∗04, ∗06, or ∗10, tested against the ancestral SARS-CoV-2 strain. Neutralization measurements were repeated twice.See also Figure S4. | PMC9742198 | gr4_lrg.jpg |
0.422082 | 09d4caac90b8442a99c36ecfdcf66f94 | Cryo-EM analysis of the spike-CAB-I47 Fab complex reveals its binding mode(A) Cryo-EM reconstruction of the spike-CAB-I47 Fab complex in 1-up conformation, three CAB-I47 Fabs occupy the RBDs (left). The cryo-EM map (gray transparent) overlayed with atomic model, trimeric spike with three the CAB-I47 Fab variable domains (middle). Atomic model of RBD- the CAB-I47 Fab (variable domains) with the HCDR1, HCDR2, and HCDR3 color-coded (right).(B) Molecular details of the CAB-I47 Fab and RBD interaction with residues important for the interaction labeled.(C) The IGHV1-69∗20 F55 residue (shown in red) located in a hydrophobic pocket of the RBD. The RBD is shown in surface representation and colored according to relative hydrophobicity with various RBD residues in the binding area are labeled.See also Figure S5. | PMC9742198 | gr5_lrg.jpg |
0.431246 | 5f723a7722d74e90986e5273ddbe3c82 | Substitution of the germline-encoded R50 residue abolishes the activity of CAB-I47(A) Cartoon and stick representation of the IGHV1-69∗20 R50 residue interactions with G482 and E484 on the RBD, color coding as in Figure 5 (left). Neutralization of the ancestral SARS-CoV-2 strain by the mature CAB-I47 and versions containing the F55L mutation, the R50G mutation or both, and ELISA binding by the same antibodies against RBD (right).(B) Summary of variant amino acid positions in different IGHV1-69 alleles with the presence of R50 and F55 highlighted in red. Gray background indicates alleles that were evaluated in this study. Neutralization measurements were repeated twice.See also Figure S6. | PMC9742198 | gr6_lrg.jpg |
0.449626 | b05a72f788fe4de68424c5086b48f81f | Scree plots of C19-OCS | PMC9744046 | 41811_2022_155_Fig1_HTML.jpg |
0.458945 | 181c9707b8f04af2ac070ddcecceb3c2 | Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA-ScR) flow diagram for study inclusion | PMC9745731 | 10935_2022_718_Fig1_HTML.jpg |
0.437621 | 5e8929000ea14c478aa8c181ac093f73 | Choropleth Map showing the geographical distribution of the indigenous population within the articles included in the review | PMC9745731 | 10935_2022_718_Fig2_HTML.jpg |
0.38702 | 7d43b7923f5d4544935a2c8524a13019 | Number of included studies by years of publication (n = 29) | PMC9745731 | 10935_2022_718_Fig3_HTML.jpg |
0.450026 | 9b128799c03d4c1bba88a306a28f1a5b | Expanded Conceptual framework of climate change impacts on indigenous health | PMC9745731 | 10935_2022_718_Fig4_HTML.jpg |
0.398343 | 94a3c4f9413643afa966386ad521b06b | Overview of field experimental sampling, sample processing, and analysis. (A) Mean daily temperature based on station BZBM3 in Woods Hole, MA. Dates range from October 2020 to May 2021. The shaded region represents the time in which corals were in quiescence. Lines refer to sampling periods around dormancy: yellow indicates before; the blue line refers to when corals went into quiescence; gray lines refer to quiescence; purple lines refer to after quiescence. Above the plot, the line and labels refer to when samples were taken, the designation of sample points, and naming of the phases of dormancy. (B) Schematic of the sampling protocol for corals (n = 10 per time point) and water (n = 4 per time point) and analyses. | PMC9746315 | aem.01391-22-f001.jpg |
0.396337 | 890d1721af9b428abfe2b4054db16921 | Coral microbiome alpha diversity decreases during quiescence. Plots show the mean ± standard error (SE) of alpha diversity measures. Colors indicate before (yellow), during (gray), and after (purple) quiescence. The active microbiome and present microbiome are separated by facets and by shape (circles and triangle, respectively). Smaller, transparent points represent raw values. (A) Hill D0 (rarefied richness); (B) D1 exponentiated Shannon diversity (not rarefied); (C) D2 or inverse Simpson diversity. D0 and D1 decreased during quiescence and then increased after quiescence in active microbes; however, in the present microbes, the diversity only changed (increased) after dormancy. Conversely, D2 remained low before and during quiescence and increased after quiescence for both DNA and cDNA. | PMC9746315 | aem.01391-22-f002.jpg |
0.472496 | 381a930118724bf7b9ee27b6c2522d95 | Coral microbiome beta diversity alters during quiescence. (A to D) The plots show mean ± SE beta dispersion of the (A) active and (B) present microbiomes for the coral (n = 9 to 10) and mean ± SE of the coral (n = 9 to 10) and water (n = 4) microbial communities in NMDS space in the (C) active and (D) present microbiomes. Colors represent timing, and shape indicates coral (squares) or water (diamonds) in the NMDS plot and active (circles) and present (triangles) in the dispersion plots. The numbers inside of the shapes (C and D) indicate the sampling time (see Table 1). Beta dispersion (A and B) was generally high but was significantly lower at time point 3, the sampling point before the onset of quiescence. Microbial community composition differed significantly (P < 0.05) based on timing, sampling time, and active/present microbiomes based on PERMANOVAs on the corals and the water (panels C and D). | PMC9746315 | aem.01391-22-f003.jpg |
0.485371 | 81a3597f6f0a4a99abbebb6221b6ce24 | Relative abundance of selected active taxa (indicated by order and genus) that were significantly different according to the corncob analysis on the active microbiome-based ASVs. Points represent the relative abundance of ASVs in each coral (9 to 10 samples). Lines are a loess representation of the shape of the relationship based on the geom_smooth function in ggplot (in R). (A to G) Plots include taxa that were enriched before quiescence and at the first one or two time points during quiescence, (A) Pseudoalteromonas (Alteromonadales), (B) Arcobacter (Campylobacterales), (C) Lentisphaera (Lentisphaerales), (D) Endozoicomonas (Oceanospirillales), (E) MD3-55 (Rickettsiales), and (F) Midichloriaceae, and those that were enriched during quiescence, (G) UBA10353 marine group. (H to O) Lastly, those that were enriched as corals were midway through quiescence and continued to increase after quiescence, (H) Paraglaciecola (Alteromonadales), (I) Aureispira (Chitinophagales), (J) Pseudofulvibacter (Flavobacteriales), and (K) Cm1-21 (Nitrosococcales), or those that increase as corals come out of quiescence, (L) MSB-1D1 (Nitrosococcales), (M) Pseudahrensia (Rhizobiales), (N) Filomicrobium (Rhizobiales), and (O) Magnetospira (Rhodospirillales). Additional data are presented in Fig. S2. | PMC9746315 | aem.01391-22-f004.jpg |
0.43187 | 2209f24fb7d64f0fac0b6e7a8992a951 | Conceptual diagram of the diversity and community shifts that occurred in the Astrangia poculata microbiome before, during, and after quiescence. Illustrations by Alicia Schickle. | PMC9746315 | aem.01391-22-f005.jpg |
0.437063 | 385a7c2c6b024ab385150bc410f1db39 | A. Computed tomography (CT) image of Phantom HD1; B. CT image of Phantom HD2; C. Region of interest (ROI) positions for Hounsfield unit (HU) analysis | PMC9746644 | rpor-27-5-821f1.jpg |
0.415922 | 8ef3fd61cb7f4a88a05a5940d1083041 | Image difference color wash. MARCT — computed tomography with metal artifact reduction; WOMARCT — computed tomography without metal artifact reduction | PMC9746644 | rpor-27-5-821f2.jpg |
0.48162 | 2daa07e0e6fe416a87617abe1e129cbd | Hounsfield unit (HU) profile of different metal inserts (WOMARCT) | PMC9746644 | rpor-27-5-821f3.jpg |
0.472722 | 30acc5c662a04e9886532ff03ff94ea1 | Calculated dose profiles at stainless steel level | PMC9746644 | rpor-27-5-821f4.jpg |
0.521058 | 328dbca35a06482baa8c0d330c0748d2 | Gamma evaluation of computed tomography with metal artifact reduction (MARCT) and computed tomography without metal artifact reduction (WOMARCT) calculated dose distributions | PMC9746644 | rpor-27-5-821f5.jpg |
0.421169 | afb8e4b674bc4425b1710d4de95272e7 | Numbers of surgical pathology reports issued by pathologists at the Hospital de Messejana before and during the COVID-19 pandemic, and their relationship with the total numbers of COVID-19 cases and deaths in the state of Ceará, Brazil. In A, surgical pathology reports issued between 2015 and 2021. Each dot represents the number of reports issued each month. There was a significant reduction in the numbers of reports issued in 2020 and 2021 in comparison with those issued in the 2015-2019 period (p < 0.05). There was no significant difference between the numbers of reports issued in 2020 and 2021. In B and C, linear relationship of the numbers of surgical pathology reports issued by pathologists at the Hospital de Messejana with the numbers of COVID-19 cases (B) and deaths (C) occurring between January of 2020 and December of 2021. Each dot represents one month in the analyzed period. | PMC9747184 | 1806-3756-jbpneu-48-06-e20220248-gf1.jpg |
0.420008 | 807c7508c1584a56b65d90ed9cdf8fc8 | IL-27 production is enhanced in response to BCG stimulation in neonatal BMDCs. Day 8 (D8) BMDCs were treated with BCG at an MOI of 0.5-2.5 for indicated time periods. a BMDCs were harvested for RNA isolation and measurement of IL-27p28 (left) or EBI3 (right) gene expression after 6 (top) or 24 h (bottom). Values were normalized to β-actin and expressed as log2 change in expression relative to the unstimulated controls using the formula 2−ΔΔCt. Mean results ± standard error from 9 (BCG) or 6 (LPS) combined experiments averaged from 2-3 technical replicates from batched BMDCs per experiment are shown. Following a normality test, statistical significance in the 95% confidence interval was determined using a One-Way ANOVA and Tukey's multiple comparison test to compare treatment groups to the non-treated samples, ***p=0.0004, **p=0.0046. b IL-27 concentrations in culture supernatants were measured by ELISA after 24 h. Absolute values were normalized to the amount of IL-27 per 105 cells to control for differences in cell density across experiments. Mean results ± SEM for a combined 5 (BCG) or 2 (LPS) experiments averaged from 2-3 technical replicates from batched BMDCs per experiment is shown. Statistical significance in the 95% confidence interval was determined using a non-parametric Kruskal-Wallis and Dunn's multiple comparison test, *p=0.048. | PMC9747568 | gr1.jpg |
0.481037 | 138cfd2839d7400780d996ed818ae161 | IL-27 signaling opposes BCG clearance in neonatal BMDCs. Day 8 (D8) WT or KO BMDCs were treated with BCG at an MOI of 0.8-2 with or without IFN-γ. At 4 or 72 h, cells were fixed and stained with Auramine O. a A representative measurement of BCG internalization at 4 h is shown as relative fluorescent units (RFU) ± standard error. b Normalized BCG recovery from BMDCs at 72 h for a combined 3 experiments averaged from 3 technical replicates from batched BMDCs per experiment ± standard error is shown. RFU values at 72 h were normalized to those at 4 h within an experimental group. The normalized value of each group was then expressed relative to the BCG-treated WT BMDC group to compare killing ability across experiments. Following normality testing, statistical significance in the 95% confidence interval was determined using a one-sample t test;*p=0.04; **p=0.005. | PMC9747568 | gr2.jpg |
0.408643 | f2fc6d1d0fec4ff08e46dc410c4c2fcf | IL-27 opposes production of IL-12 in response to BCG stimulation in neonatal BMDCs. WT and KO BMDCs from day 8 mice were treated with BCG at an MOI of 0.8-2 or LPS for 6 or 24h. a Cells were harvested after 6h for RNA isolation and measurement of IL-12p35 (left) or IL-12p40 (right) gene expression. Values were normalized to β-actin and expressed as log2 change in expression relative to the unstimulated controls using the formula 2−ΔΔCt. Mean results ± standard error from 3 combined experiments averaged from 2-3 technical replicates from batched BMDCs per experiment are shown. b IL-12p70 concentrations in culture supernatants at 24 (left) or 48 h (bottom) were measured by ELISA. Mean results ± standard error for an experiment representative of 3 experiments performed separately are shown. Statistical significance in the 95% confidence interval was determined using a two-way ANOVA followed by Sidak's multiple comparison test; *p=0.03, **p= 0.006. | PMC9747568 | gr3.jpg |
0.435908 | a8d902a4c8e14381bd7a9de1570c1837 | IL-27 signaling limits T cell stimulation by neonatal BMDCs. BMDCs from neonatal WT or KO mice were seeded at 2×104(a) or 104(b) cells per well and treated with BCG at an MOI of 1.6-3. A group of BMDCs treated with TNF-α was included to mature BMDCs without BCG as a control for antigen specificity. At 24 h post-stimulation, CD4+ T cells from adult-vaccinated WT mice were cultured with BMDCs at a constant density of 105 cells per well. Through 72 h of co-culture, samples of supernatant were saved every 24 h to measure production of IFN-γ by ELISA. Mean results ± SEM at 48 (left) or 72 h (right) for an experiment representative of 3 experiments performed separately is shown. Statistical significance in the 95% confidence interval was determined using a two-way ANOVA followed by Sidak's multiple comparison test; ****p < 0.0001. | PMC9747568 | gr4.jpg |
0.430006 | 095bc3e8041d4bcdb44e52af6fab965f | BCG is poorly cleared from neonatal WT mice and elevates IL-27 levels. Neonatal WT or KO pups were vaccined at 7 or 8 days of life with a target of 103 BCG per animal. Male and female mice were both used and distributed approximately equally between treatment groups. Mice were rested for five weeks after vaccination. a Three WT and two KO vaccinations were performed to obtain the requisite number of animals. At the study endpoint, mice were humanely euthanized and lungs, livers, and spleens were harvested, homogenized, and serially diluted to enumerate BCG. Following normality tests, statistical significance in the 95% confidence interval was determined using non-parametric Mann-Whitney tests comparing WT to KO mice for each sample; *p=0.018 (lung), **p=0.001 (liver), **p=0.003 (spleen). b Four independent neonatal vaccinations were peformed to obtain the requisite number of animals. Serum was obtained from weekly blood collections by submandibular bleeding and were measured by electrochemiluminescent immunoassay. Statistical significance in the change of IL-27 within treatment groups over time in the 95% confidence interval was assessed by mixed-effects analysis and Sidak's multiple comparison test. Following normality tests, statistical significance in the 95% confidence interval between control and BCG vaccinated within a time point was determined by pairwise comparison with unpaired t tests; *p=0.041 (4 week) and *p=0.034 (5 week). | PMC9747568 | gr5.jpg |
0.433415 | 3e59433d26964d6d82ea3a0ae3651268 | Response, survival and cost by treatment group. (A) Response; (B) Progression-free survival; (C) Overall survival; (D) Chemotherapy completion rate; (E) Average length of hospital stay; (F) Average total hospital cost per course per patient; (G) Average antibiotic costs per course per patient. | PMC9747713 | 41598_2022_24922_Fig1_HTML.jpg |
0.422438 | 42593634e89441a988e20d0517f18afa | Kaplan–Meier survival curves and landmark analysis. (A) Progression-free survival by pathological subtype (GCB vs. non-GCB); (B) Progression-free survival by response (CR vs. not CR) at the end of induction chemotherapy; (C) Landmark analysis of progression-free survival by response (CR vs. not CR) at the end of induction chemotherapy; (D) Overall survival by subtype (ECOG > 3 vs. ECOG ≤ 3); (F) Overall survival by response (CR vs. not CR) at the end of induction chemotherapy; (E) Landmark analysis of overall survival by response (CR vs. not CR) at the end of induction chemotherapy. | PMC9747713 | 41598_2022_24922_Fig2_HTML.jpg |
0.396818 | 70e920cf9d15409b81ff2d2bc879d392 | Elements of Strong Structuration TheoryFrom Stones (2005). | PMC9748305 | gr1.jpg |
0.40995 | b3175c6fcb654c4dbce161973437a3e3 | Restricted cubic spline of TMAO levels in relation to hazard ratio for the risk of clinical endpoint (n = 163). Dark red line with 95% confidence interval shaded in light red. HR hazard ratio; CI confidence interval; TMAO trimethylamine-N-oxide | PMC9749156 | 12931_2022_2282_Fig1_HTML.jpg |
0.420055 | 4b62dea1849c490b8753733e6f11f9de | Kaplan–Meier analysis for the incidence of composite outcome events. PH patients (n = 163, P < 0.001 (A), IPAH/HPAH patients (n = 36, P = 0.010 (B), CHD-PAH (n = 76, P < 0.001, (C), and CTEPH (n = 51, P = 0.170 (D) were analysed. Composite outcome events include death, rehospitalisation due to heart failure, and at least 15% decreased 6MWD from the baseline. P-value calculated by the log-rank test. TMAO trimethylamine-N-oxide; PH pulmonary hypertension; IPAH/HPAH idiopathic/heritable pulmonary arterial hypertension; CHD-PAH pulmonary arterial hypertension associated with congenital heart disease; CTEPH chronic thromboembolic pulmonary hypertension; 6MWD 6-min walk distance | PMC9749156 | 12931_2022_2282_Fig2_HTML.jpg |
0.442522 | fad108d4048c46f28334ca14f10914d7 | Emerging issue identification (ERI) workflow | PMC9749435 | EFS2-20-e200913-g001.jpg |
0.480226 | cd23a0793fa14add8e34268b33ed27d8 | Topic detection and visualisation with InfraNodus software after the selection of the topic ‘food safety’ | PMC9749435 | EFS2-20-e200913-g002.jpg |
0.427178 | 197340310a094185a82fa86a3c7f9194 | Topic detection and visualisation with InfraNodus software | PMC9749435 | EFS2-20-e200913-g003.jpg |
0.525631 | 62b23cc3d1b64815b029e1cd6d2cf85f | Network design of the overall autophagy biosynthetic network. Solid arrows represent transition between the different biochemical components. Solid lines represent association among biochemical components. Branch points (BP) represent biochemical transitions or associations that are related to more than 2 biochemical components. | PMC9749836 | gr1_lrg.jpg |
0.459054 | e3f081164f604984b723b47bf33f840b | Centrality analyses of the overall autophagy biosynthetic network. Significant biochemical components based on (A) betweenness, (B) stress, (C) closeness, (D) eccentricity, (E) radiality, and (F) edge betweenness centralities are indicated. Significant nodes are colored green. Significant edges are marked by solid red arrow lines. Threshold for each centrality measurement is shown on the upper left. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.) | PMC9749836 | gr2_lrg.jpg |
0.409633 | cc05545eaff84bf4844f5ec0ef943856 | Unified network highlighting common nodes and edges established from centrality measurements. Significant nodes are colored green. Significant edges are marked by solid red arrow lines. Branch points (BP) represent biochemical transitions or associations that are related to more than 2 biochemical components. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.) | PMC9749836 | gr3_lrg.jpg |
0.467797 | 3520c1bc899f41be95401efc452dcd1c | Quantification of LAM in EBC from TB patients and control individuals listed in Table 1.Quantity of LAM in EBC samples from all the subjects involved (a), adults (b), and children (c, e) was determined by an immunoassay using the CS-35 anti-LAM antibody. A receiver-operating characteristic (ROC) analysis of the LAM quantitation data is shown in d. AUC area under the curve, T threshold. In a, b, and c, the difference between TB patient groups and controls (healthy, pneumo) was statistically significant (Mann–Whitney U-test, two-tailed). Error bars represent SEM. Source data are provided as a Source Data file. | PMC9751131 | 41467_2022_35453_Fig1_HTML.jpg |
0.417719 | d7d313edd06e49bda8280aa4ff112a7a | Characterization of LAM in EBC by NMR.Expanded region (δ 1H: 4.80-5.50, δ 13C 98-114) of the 2D 1H-13C HSQC spectrum in D2O at 298 K of Ad S+ pool (a) and Ch S+/C+ pool (b) LAM-enriched fractions, and Mtb_broth LAM (c). Cartoons show the structure of arabinan side chain termini deducted from NMR data. The branched hexa-arabinofuranoside (Ara6) motif is the main epitope of the CS-35 anti-LAM antibody. Structural motifs that differ between LAM in EBC and LAM purified from M. tuberculosis H37Rv grown in broth are highlighted in blue. | PMC9751131 | 41467_2022_35453_Fig2_HTML.jpg |
0.452498 | 86b8d27a9766456b899e2f74e7ca9563 | M. tuberculosis lipids and corresponding MS signatures detected in EBC from TB patients.a Negative MALDI-TOF mass spectrum of PI and PIMs. A structure of tetra-acylated PIM2 (Ac2PIM2) that contains 2 palmitic (C16), 1 stearic (C18) and 1 tuberculostearic (C19) acids is drawn. * indicate intense ions that do not correspond to PIM molecular species. b Negative MALDI-TOF mass spectrum of Ac4SGL. A structure that contains 2 hydroxyphthioceranyl (HPA) and 1 phthioceranyl (PA) (SL-II according to the nomenclature of Goren) is drawn. c Positive ESI-QTOF mass spectrum of PDIM. MCA, mycocerosic acid. d, e Negative ESI-QTOF mass spectrum of α- (d) and methoxy-(e) mycolic acids. The main forms are illustrated. f Positive ESI-QTOF mass spectrum of TbAd. 1-TbAd isomer is shown. Data are representative of at least 2 independent experiments on each EBC pooled sample. The precise stereochemistry of PIMs, SGLs, PDIM and Mycolic acids can be found in Minnikin & Brennan, 202028. A detailed peak assignment is shown in Supplementary Tables 4–7. | PMC9751131 | 41467_2022_35453_Fig3_HTML.jpg |
0.537582 | 74d02bf1ef9d441093c06d083807c8b7 | Abundance of M. tuberculosis lipids in EBC from TB patients and control individuals listed in Table 1.Abundance of MA (a–c), TbAd (d–f), and PDIM (g–i) per EBC from adults and children was determined by SFC-HRMS relatively to 1,2-ditridecanoyl-sn-glycero-3-phosphocholine (133 ng/mL of EBC) used as an internal standard (IS). Values are given as the ratio between areas of the extracted ion chromatograms (AEIC) of the ionized lipid molecular species and AEIC of the IS. In g, h, and i, values are multiplied by 10. In a, b, d, e, g, h, unless otherwise stated (ns, not significant), the difference between TB patient groups and controls (healthy, pneumo) was statistically significant (Mann–Whitney U-test, two-tailed). Error bars represent SEM. Source data are provided as a Source Data file. | PMC9751131 | 41467_2022_35453_Fig4_HTML.jpg |
0.486476 | 3d762b0d587e433a8318974e2e49dbc4 | Abundance of M. tuberculosis proteins in EBC from TB patients and control individuals listed in Table 1.a Number of Mtb proteins detected by proteomic analysis in the corresponding groups. b–i Abundance of selected Mtb proteins by proteomic analysis. j–l Abundance of GroEL2 protein by an immunoassay. In b–i, values are given as the Label-Free Quantification (LFQ) intensity (int.). The noise background intensity was ~3.3 log. In j–l, values are given in arbitrary units corresponding to intensity (int.) on the Dot Blot (DB) and normalized to levels of GroEL2 in the Mtb cell lysate. In j and k, unless otherwise stated (ns, not significant), the difference between TB patient groups and controls (healthy, pneumo) was statistically significant (Mann–Whitney U-test, two-tailed). Error bars represent SEM. Source data are provided as a Source Data file. | PMC9751131 | 41467_2022_35453_Fig5_HTML.jpg |
0.437497 | 543e4982a759403795a18b453134c9a9 |
(A) Centralized manufacturing facility: Point of care and point of manufacturing is geographically seperated. (B) De-centralized manufacturing facility: Point of care and manufacturing is the same. | PMC9751310 | fonc-12-1062296-g001.jpg |
0.427561 | 373c46f98b6c45adbcbe881afcaea76c | Possible mechanism of action of steroids in the management of COVID-19. | PMC9751434 | fphar-13-1063246-g001.jpg |
0.397151 | ab4d671400914fc6bdd820b4b52e69ad | Possible mechanism of action of NSAIDs in the management of COVID-19. | PMC9751434 | fphar-13-1063246-g002.jpg |
0.466949 | 6b3f262e8e244861a01c679bc2beb6b4 | Structure of steroids used in the management of COVID-19. (A) Methylprednisolone, (B) Hydrocortisone, (C) Dexamethasone. | PMC9751434 | fphar-13-1063246-g003.jpg |
0.502962 | 158c67ed8fc54041b7877e111511257a | SARS-CoV-2 entry and effect of ibuprofen. ACE2 = Angiotensin converting enzyme 2, TMPRSS2 = Transmembrane serine protease 2, S1/S2 = SARS-COV-2 spike protein subunits. | PMC9751434 | fphar-13-1063246-g004.jpg |
0.500597 | af1d81c4de194ac2bdadf1b1f86cb57c | Structure of NSAIDS used in the management of COVID-19. (A) Aspirin, (B) Meloxicam, (C) Celecoxib, (D) Naproxen, (E) Ibuprofen, (F) Indomethacin (G) Ketotifen. | PMC9751434 | fphar-13-1063246-g005.jpg |
0.481051 | a1ca37887a0546a187099582dc96de68 | Distribution of low- and lower-middle-income countries across the world. | PMC9751812 | fonc-12-976168-g001.jpg |
0.449324 | a5ea81cb293343a6b6d9de8fd50dc2db | Flow chart of screening and study selection processes. | PMC9751812 | fonc-12-976168-g002.jpg |
0.423624 | 1173c27d36874d25afe1de4c4819a08f | Characteristics of studies on ML-based models for cancer outcomes in LLMICs. (A) Bar plot showing the frequency of studies by publication year (B) Geographic distribution of studies on ML-models for cancer in LLMICs by country (C) Bar plot showing the study design and number of centers involved during model construction (D) Plot showing the frequency of cancers for which models were developed in the LLMIC population. | PMC9751812 | fonc-12-976168-g003.jpg |
0.438075 | a3c74008d50f443baedcd49de0c324be | Distribution of studies by the PROBAST domains. | PMC9751812 | fonc-12-976168-g004.jpg |
0.464494 | 3ef05f0d3c944dd68427d18b7d1d0874 | Plot showing the different techniques used for ML-based model construction for cancer patients in LLMICs (A) Model types (B) Novelty of backend algorithm used for model construction (C) Patient cohort size for model construction (D) Functions of the ML-based models. | PMC9751812 | fonc-12-976168-g005.jpg |
0.408722 | 9dee67dd87e545b0b4fe020e64e8fec0 | Bar and violin plots evaluating the methods used for model development and summary model performances (A) Plot of features used for model construction by publication year (B) Plot of ML technique by the rating of model development processes (C) Plot showing summary accuracy estimates for the three different ML techniques (D) Plot showing summary accuracy for ML-based models for diagnosis according to the cancer types (E) Plot showing summary accuracy for ML-based models for cancer screening according to the cancer types (F) Plot showing summary accuracy for ML-based models for cancer prognosis according to the cancer types. | PMC9751812 | fonc-12-976168-g006.jpg |
0.430758 | b27b4e789d56408da26c68266a287f0e | Mean physical self-concept score and 95%-confidence interval for separate subscales for physical self-concept in children 5 through 12 years in patients (ARM/HD) and controls (range 1 to 4 points). All values lie in the upper section of the scale. There were no significant differences between patients or controls. (PSK-K = physical self-concept-Kinder, ARM = anorectal malformation, HD = Hirschsprung’s disease) | PMC9753325 | 12887_2022_3782_Fig1_HTML.jpg |
0.472659 | 1c09699cfcd24c97a8150aa141aea627 | Mean physical self-concept total score and 95%-confidence interval in children 5 through 12 years in patients (ARM/HD) and controls (range 21 to 84 points). There were no significant differences between the mean (dotted line) and 95%-confidence interval (blue box) of the control group compared to patients, including influencing factors, such as gender or being able to swim. The PSK-K score of patients with HD was significantly higher compared to all other subgroups. (PSK-K = physical self-concept-Kinder, HD = Hirschsprung’s disease, ARM = anorectal malformation, VACTERL = VACTERL association) | PMC9753325 | 12887_2022_3782_Fig2_HTML.jpg |
0.410157 | b3d820241fec413d932c3ded60de01b7 | a-c Mean PSK score and 95%-confidence interval for separate subscales for physical self-concept in adolescents 13 through 25 years in patients (ARM/HD) and controls (range 1 to 4 points). a. In the analysis of both genders, the mean scores for sports competence, endurance, speed and flexibility were significantly lower compared to controls. b. In females, there was a significant and major deficit in the subscales for sports competence, endurance, speed, strength and flexibility. c. In males, only the score for flexibility was significantly reduced compared to controls. (* significant difference, PSK = physical self-concept, ARM = anorectal malformation, HD = Hirschsprung’s disease) | PMC9753325 | 12887_2022_3782_Fig3_HTML.jpg |
0.437475 | bc612b4c9d964f3b92b99763a1ab3d76 | Mean physical self-concept total score and 95%-confidence interval in children 13 through 25 years in patients (ARM/HD) and controls (range 46 to 184 points). Even though a reduced physical self-concept score in patients compared to controls is evident, there were no significant differences between the mean (dotted line) and 95%-confidence interval (blue box) of the control group compared to patients, including influencing factors, such as gender or type of malformation. Patients, who are not able to swim have a significantly reduced physical self-concept score compared to controls. (PSK = physical self-concept, HD = Hirschsprung’s disease, ARM = anorectal malformation, VACTERL = VACTERL association) | PMC9753325 | 12887_2022_3782_Fig4_HTML.jpg |
0.43844 | fca9c31b5e35409684aadef345498968 | Enrolment and outcome in the French NeuroCOVID multicenter registry. | PMC9753577 | gr1_lrg.jpg |
0.459696 | bd4054efcc0a4f5fafeb392d6e7c6f70 | Flowchart showing Rwanda Artificial Intelligence for Diabetic Retinopathy Screening trial enrollment. AI = artificial intelligence; DR = diabetic retinopathy. | PMC9754978 | gr1.jpg |
0.460313 | 17e0ce7d529e4fa48bca94aa237aef09 | Flow chart of the literature search and study selection. | PMC9755205 | fphar-13-1004821-g001.jpg |
0.411422 | 89cf9537375d48ccae69d4917b8ff824 | Quality assessment for risk of bias for the included randomized controlled trials. | PMC9755205 | fphar-13-1004821-g002.jpg |
0.448636 | fd6ee19648f347a18dd57e53a779a3c8 | Forest plots of meta-analyses between ICIs combination with chemotherapy or not vs chemotherapy in PD-L1 positive TNBC (A) for progression-free survival and (B) for overall survival. | PMC9755205 | fphar-13-1004821-g003.jpg |
0.415481 | 31d2f369a18b45e39f9e653414b013a6 | Subgroup analysis of the effect of ICIs combined with chemotherapy or not on PFSin PD-L1 positive TNBC patients. | PMC9755205 | fphar-13-1004821-g004.jpg |
0.388965 | ee96e2372d664c9e8e53213eff3010cb | Subgroup analysis of the effect of ICIs combined with chemotherapy or not on OS in PD-L1 positive TNBC patients. | PMC9755205 | fphar-13-1004821-g005.jpg |
0.415414 | 5c1606c0345a4cde8e8ba8d328cc6192 | Subgroup analysis of the effect of ICIs combined with paclitaxel or not on OS in PD-L1 positive TNBC patients. | PMC9755205 | fphar-13-1004821-g006.jpg |
0.437517 | 38ca89882bfd4ae0a6c14836155c35a2 | Sensitivity analysis (A) for progression-free survival and (B) for overall survival. | PMC9755205 | fphar-13-1004821-g007.jpg |
0.432117 | 05400dc92a9343559a65ca8676d544f2 | Egger’s test of publication bias (A) for progression-free survival and (B) for overall survival. | PMC9755205 | fphar-13-1004821-g008.jpg |
0.39863 | 61d535f211f143a68859ebe7bc86a8c9 | Cascaded metalenses in the near infrared. a Schematic of the aberration-free metalens doublet focusing off-axis light. b Illustration of the dielectric metasurface used to implement the metalens. The metasurface array is composed of amorphous silicon posts with variant diameters and SU-8 polymer on top in hexagonal arrangement. The MTF of c polynomials doublet and d hyperbolic singlet metalens. The focal length and aperture diameter of both lens is set as the same. Image taken by e the doublet and f the singlet. a–f Reprinted with permission from Ref. [81]. Copyright 2016, Arbabi et al. | PMC9756243 | 12200_2022_17_Fig10_HTML.jpg |
0.458912 | c2bf74e0f6524519bc0c3d0b5e41042b | Metalens doublet in the visible: schematic illustration, SEM image and phase profile of the metasurface doublet. a Metalens doublet is comprised of two metasurfaces integrated on both sides of a SiO2 substrate. b–e Geometrical parameters of the TiO2 nanofins; c–e side and top views of the hexagonal unit cell with constant periodic length S, nanofin height H, nanofin length L, width W, and variant rotation angle \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$\alpha$$\end{document}α. f Top-side view SEM micrograph of the focusing metalens. g Side view SEM micrograph at the edge of the sample. h Phase plot of aperture metalens. i Comparison of phase plots of hyperbolic metalens and that of focusing metalens designed based on Eq. (10). j–l Ray diagrams to depict the principle of aberration correction. j Ray diagram of hyperbolic metalens which shows large aberration at oblique illuminance. k Ray diagram of metalens with phase profile designed according to light blue curve in Fig. 9g, which shows positive and negative spherical aberration. l Ray diagrams of the metalens doublet showing diffraction-limited focusing at all angles. a–l Reprinted with permission from Ref. [82]. Copyright 2017, American Chemical Society | PMC9756243 | 12200_2022_17_Fig11_HTML.jpg |
0.442299 | fb2e87feac5042e395d93e72a2eaebbf | Wide-angle metalens with aperture stop. a Schematic of the hexagon unit cell composed of SiO2 nanopost placed on GaN substrate with fixed height 600 nm. b Simulated images of USAF-1951 test chart with traditional lens and c wide-angle metalens. d Traditional lens layout. e Traditional lens Strehl ratio. f Traditional lens MTF. g Metalens layout. h Metalens Strehl ratio. i Metalens MTF. The NA of the optical system in both the designs is set to 0.18, and the cutoff frequency is approximately 600 in cycle per mm. a–i Reprinted with permission from Ref. [86]. Copyright 2020, Fan et al. | PMC9756243 | 12200_2022_17_Fig12_HTML.jpg |
0.392306 | 7d9c5a0f90c540058afa0628990ba2fa | Proof-of-concept quadratic phase metalens. a Ray diagram of wide-angle flat lens illuminated by oblique rays. Red, yellow and blue rays are corresponding to different incident angles. The lens transforms the difference in incident angles into traverse shifts of focuses on the focal plane. b Ray diagram of an ordinary lens and a quadratic flat lens at normal illumination. Spherical aberration is introduced in the quadratic lens. c Top: SEM of the fabricated metalens with elliptical aperture arrays on a gold film. Bottom left: simulated results of light intensity distributions on xz (y = 0) and xy (z = 7.5 μm) plane at 632.8 nm with \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$0^\circ ,-32^\circ ,-80^\circ ,\text{and } 45^\circ$$\end{document}0∘,-32∘,-80∘,and45∘ incident angles. Bottom right: experimental measurement of light intensity distribution on xz plane at \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$\theta =0^\circ ,-32^\circ$$\end{document}θ=0∘,-32∘ and \documentclass[12pt]{minimal}
\usepackage{amsmath}
\usepackage{wasysym}
\usepackage{amsfonts}
\usepackage{amssymb}
\usepackage{amsbsy}
\usepackage{mathrsfs}
\usepackage{upgreek}
\setlength{\oddsidemargin}{-69pt}
\begin{document}$$\theta =0^\circ ,-80^\circ$$\end{document}θ=0∘,-80∘. The FWHM is about 427 nm. d Top: schematic of measurement set up to demonstrate the multiwavelength behavior. Bottom: intensity distribution in a common focal plane shows clear spots for three wavelengths. a–d Reprinted with permission from Ref. [93]. Copyright 2017, The Optical Society | PMC9756243 | 12200_2022_17_Fig13_HTML.jpg |
0.423253 | e3051535f0ef451b9bcb7207f88ae462 | Quadratic phase metalens with arbitrarily wide FOV. a Schematic of the c-Si nanopost unit cell with fixed period a = 190 nm and height h = 230 nm. b Transmission and phase map. D refers to the diameters of c-Si nanoposts and the cycle marks represent the eight phase levels used to discretize the phase profile. c SEM micrograph of the c-Si nanopost array (top view). d Measured displacement of the focal spot as a function of incident angels. e Measured and simulated FWHM versus incident angles curves of hyperbolic (referred to as D.L. in the graph) and quadratic (referred to as WFOV) lens. a–e Reprinted with permission from Ref. [92]. Copyright 2020, American Chemical Society | PMC9756243 | 12200_2022_17_Fig14_HTML.jpg |
0.447763 | 26a6e032def84b4e881fe06cb7aed311 | Inverse designed single-piece multilayer metalens that simultaneously corrects chromatic and angular aberrations. Top-left is the schematic of the metalens consisting of 20 layers of 3D-printable polymers with NA = 0.24. Top-right inset shows the distribution of Strehl ratio (SR) of intermediate frequencies and angles within the designated bandwidth and FOV. Most SRs remain higher than 0.7 and the mean value is larger than 0.75. The bottom shows the cross-section light field distributions and AEs of the designed wavelengths and angles (N = 10 × 10 = 100). The average of AEs is as high as 55%. Reprinted with the permission from Ref. [61]. Copyright 2021, AIP Publishing | PMC9756243 | 12200_2022_17_Fig15_HTML.jpg |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.