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0.418029 | b97c40c1bb744158ad312357457b2c38 | Seeding method effects.Observed differences between broadcast and shallow furrow seeding delivery in early and late season seedling count (as a percent of viable seed sown) in 2018 (panel A) by species and herbicide treatment (H = herbicide, NH = no herbicide) and 2019 (panel B), by species. Black stars indicate significant differences between seeding delivery treatments (P < 0.05), with arrows added in panel B to indicate a delivery effect regardless of herbicide treatment. Error bars are standard error. | PMC10062626 | pone.0283678.g005.jpg |
0.449494 | 962fcc75508346a4b5f9e77d110adebb | Illustration of the different B-scan sonographic patterns according to the Echinococcus multilocularis Ulm (EMUC-US) classification.Source: Kratzer W, Weimer H, Schmidberger. Echinokokkose: eine Herausforderung der Lebersonographie. Ultraschall in Med 2021. https://doi.org/10.1055/a-1694-5552 | PMC10063733 | 40477_2022_688_Fig1_HTML.jpg |
0.433372 | 4358a79bf4704d3e945ebc39a9c55784 | The figure shows a typical liver metastasis as well as a metastasis-like pattern in alveolar echinococcosis according to EMUC-US in the B-scan as well as the corresponding contrast behavior in the late phase after 4 min in contrast-enhanced ultrasound (CEUS).Source: Kratzer W, Weimer H, Schmidberger. Echinokokkose: eine Herausforderung der Lebersonographie. Ultraschall in Med 2021. https://doi.org/10.1055/a-1694-5552 | PMC10063733 | 40477_2022_688_Fig2_HTML.jpg |
0.40949 | 1c6087a380644d75b9a6298fa2a99810 | Case series examining the contrast response of alveolar echinococcosis (AE) lesions with a metastasis-like pattern. a Overview of the liver on B-scan. b–f Contrast flooding after 15 s (b), 20 s (c), 30 s (d), 57 s (e), and 178 s (f) | PMC10063733 | 40477_2022_688_Fig3_HTML.jpg |
0.466253 | 8f13458cc13244c5b0336fe438894e2f | Susceptibility of C. albicans to aureobasidin A. C. albicans lab strain SC5314 was grown in YPD broth (A) or on YPD plates (B) supplemented with aureobasidin A. In panel (A) optical density at 595 nm (OD595) was measured every 15 min for 24 h at 37°C using a Tecan plate reader (Infinite F200 PRO, Tecan, Switzerland). Data are represented as the mean ± SD of three biological repeats. In panel (B), 3 μl of 10-fold serial dilutions were spotted on YPD plates. Drug concentrations are shown in the figure. The plates were incubated at 37°C for 48 h then photographed. | PMC10063858 | fmicb-14-1128160-g001.jpg |
0.41626 | 33b1af3b84e74738ba596922f9fa7fc6 | Lethal amount of aureobasidin A selects unstable aneuploid mutants. Approximately 1 million cells of SC5314 were spread on YPD plate supplemented with 20 ng/ml aureobasidin A or without drug (control). The plates were incubated at 37°C for 3 days (A). Randomly 18 mutants were chosen. Spot assay was performed to compare level of resistance between mutants and the parent (B). Two resistant mutants (#1 and #3) were spread on YPD plates. Cyan arrows indicate small colonies and magenta arrows indicate large colonies (C). Both small and large colonies were tested for resistance to aureobasidin A (D) and were sequenced (E). The karyotypes were generated using Ymap (Abbey et al., 2014). Allele frequencies are color coded: homolog “a” is cyan, homolog “b” is magenta and heterozygous alleles are gray. | PMC10063858 | fmicb-14-1128160-g002.jpg |
0.437075 | c019111f5adc4becb30f15122e5ba444 | Sub-inhibitory amount of aureobasidin A selects aneuploid mutants. SC5314 was grown in YPD broth supplemented with or without 5 ng/ml aureobasidin A. After 48 h, the cultures were washed and diluted using distilled water. Approximately 200 cells were spread on YPD. The plates were photographed after 24 h incubation at 37°C. Cyan arrow indicates small colonies and magenta arrow indicates large colonies (A). Randomly 20 small and 20 large colonies from the drug evolved culture were tested for resistance to aureobasidin A (B), and all the 20 resistant mutants were sequenced (C). | PMC10063858 | fmicb-14-1128160-g003.jpg |
0.434323 | 0e3e097691174505b6c9fc9ee7e8fa50 | Chromosome 1 trisomy has pleiotropic effect on whole genome transcription and antifungal resistance profile. Transcriptome of one Chr1 trisomy mutant was compared to the diploid wild type strain. Cells were grown on YPD plates at 37°C. Log2 ratio of genes expression levels were plotted as a function of chromosome position (A). Strains with deletions of one allele of PDR16 or AUR1 were compared to wild type diploid strain parent SC5314, or a Chr1 × 3 parent, for resistance to aureobasidin A (Ab) (B). Pleiotropic effect of Chr1 trisomy on antifungal resistance was tested by spot assay on YPD plates supplemented with caspofungin (CSP) or 5-flucytosine (5FC) (C). In panels (B,C), the plates were incubated at 37°C for 48 h then photographed. | PMC10063858 | fmicb-14-1128160-g004.jpg |
0.516386 | 153e1b50b13a41e88d2cd0b262cd3116 | Flowchart showing patient flow of the patient population involved in the study. EOC, epithelial ovarian cancer; FIGO, International Federation of Gynecology and Obstetrics; CPLN, cardiophrenic lymph nodes. | PMC10063917 | fonc-13-1149139-g001.jpg |
0.438646 | dc9c74fb365642d1a67ca2c047a8d4f6 | Staging CT image showing an example of cardiophrenic lymph node (CPLN) of 9.4 mm in the short axis and located in the anterior right location. | PMC10063917 | fonc-13-1149139-g002.jpg |
0.452066 | 086deae47d95420ab34bb03411fe056b | Progression-free survival in patients with no residual disease (A) and residual disease (B) after primary debulking surgery or neoadjuvant chemotherapy with cardiophrenic lymph nodes (CPLN) of ≥5 mm versus <5 mm. | PMC10063917 | fonc-13-1149139-g003.jpg |
0.462265 | 63de3ba3af2c4beda46a31a3fb09047f | Progression-free survival in patients with no residual disease (A) and residual disease (B) after primary debulking surgery with cardiophrenic lymph nodes (CPLN) of ≥5 mm versus <5 mm. | PMC10063917 | fonc-13-1149139-g004.jpg |
0.462119 | 6631cfead855444fb8715f95f1e7038e | Progression-free survival in patients with no residual disease (A) and residual disease (B) after neoadjuvant chemotherapy with cardiophrenic lymph nodes (CPLN) of ≥5 mm versus <5 mm. | PMC10063917 | fonc-13-1149139-g005.jpg |
0.417218 | a1bc15c1346b4957a4c6fa579c7ff474 | Staging CT image of a patient with FIGO stage IIIC ovarian cancer who presented with an enlarged cardiophrenic lymph node (CPLN) of 9.7 mm in the short axis (A). The CPLN had decreased with a short axis diameter of 3.0 mm 4 years later, and the patient had no recurrence (B). | PMC10063917 | fonc-13-1149139-g006.jpg |
0.467972 | bcbca295082d47afbfac3219fe189dc9 | Staging CT image of a patient with FIGO stage IIIC ovarian cancer who presented with an enlarged cardiophrenic lymph node (CPLN) of 6.4 mm in the short axis (A). The CPLN had grown to 11.3 mm 5 months later, but the patient had no recurrence in the abdomen (B). | PMC10063917 | fonc-13-1149139-g007.jpg |
0.471067 | 8f6a7c4ea1a44dfba2f37444df4aae14 | Progression-free survival in patients with increased versus decreased in the size of cardiophrenic lymph nodes (CPLN). | PMC10063917 | fonc-13-1149139-g008.jpg |
0.404285 | 95c2fba717e44bf1bec8ad50cc2bea34 | Representative images of the vessel density and GCC thickness in two groups. The right eyes of two age-matched male patients with preclinical diabetic retinopathy: (A) non- diabetic nephropathy (NDN) group, (B) DN group; (1) superficial capillary plexus (SCP) vessel density, (2) ganglion cell complex (GCC) thicknesses. Compared to NDN group, SCP vessel density and GCC thicknesses reduced in DN group. Moreover, more dark blue area was noticed in DN group than in NDN group. | PMC10064084 | fendo-14-1144257-g001.jpg |
0.425968 | 05189ccd3381411297cc96f17ec01fef | Relationships between estimated glomerular filtration rate (eGFR) and each representative optical coherence tomography angiography parameter in all individuals. FAZ: foveal avascular zone, SCP, superficial capillary plexus; DCP, deep capillary plexus; GCC, ganglion cell complex; RNFL, retinal nerve fibre layer; r, Pearson correlation coefficient. | PMC10064084 | fendo-14-1144257-g002.jpg |
0.498574 | 6e4c6f6e1d79425b89a4d067a0b63d18 | Data collection and preprocessing processes. | PMC10064198 | 10.1177_08862605231163885-fig1.jpg |
0.505751 | e698e08787f64ba695e84d5c12deab73 | Categories applied to the timing of the COVID-19 pandemic based on US trends in daily confirmed cases and DV-related searching keywords.DV = domestic violence. | PMC10064198 | 10.1177_08862605231163885-fig2.jpg |
0.418701 | 97783f83bc824343acc4e305a4d7bd5c | Number of posts per day of the violence-related subreddits and the baseline subreddit. | PMC10064198 | 10.1177_08862605231163885-fig3.jpg |
0.412939 | bf0cfe610cbd4e1ca4f73511149f33fe | Trends of different types of violence. | PMC10064198 | 10.1177_08862605231163885-fig4.jpg |
0.437336 | b48c28925a774cc68ff8c50c82f82d0a | Trends of COVID-19-related posts. | PMC10064198 | 10.1177_08862605231163885-fig5.jpg |
0.446129 | 874a80612a894f3697d37189d863d955 |
Treatment patterns and Child-Pugh Classification results.
(A) First recorded treatment. (B) First recorded locoregional therapy. (C) Child-Pugh classification at diagnosis by first recorded treatment. (D) First recorded treatment by Child-Pugh classification at diagnosis.EBRT: External beam radiation therapy; LR: Locoregional; TAE: Transarterial embolization. | PMC10064261 | hep-09-45-g1.jpg |
0.423166 | 375ba12132774f649abb76b8dc8d2920 |
Sankey diagram.
Patients who were alive but had <6 months of follow-up from last treatment were censored. Patients who were alive and had data for ≥6 months from last treatment, but no recorded treatments were classified as ‘no treatment’.1L: First line; 2L: Second line; 3L: Third line; LR: Locoregional; TX: Treatment. | PMC10064261 | hep-09-45-g2.jpg |
0.410058 | 1eb7fbfada64455fa8cb72727c6f68ca | Schematic representation of the methodologies for ncAA incorporation. (a) SPI or (b) SCS. In blue, endogenous components of the host; in red, the orthogonal pair; ncAA is represented as an orange star, cAAs are represented as blue circles. Figure created using Biorender.com. | PMC10064326 | gzad003f1.jpg |
0.472165 | 1be3839838df46a091b11c01bf846130 | Structures of ncAAs described in this review. The ncAAs are labeled with colors according to each subsection. Blue for halogenated ncAAs, green for non-halogenated ncAAs, red for ncAAs used for crosslinking and purple for ncAAs used for immobilization. | PMC10064326 | gzad003f2.jpg |
0.498974 | 9579f567a0fc4ce58684716e93a2efa8 | Representation of crosslinking chemistry using ncAAs. Examples of crosslinking using ncAAs are shown. Homoserine O-succinyl transferase dimers (cyan and pink) were stabilized by covalent interactions with (a) 31 and a cysteine residue; and (b) 32 and an N-terminal proline. (c) A set of electrophilic ncAAs (33–36) was evaluated in a myoglobin-based biocatalyst for the covalent interaction with cysteine. (d) The interaction of cysteine residues and long-chain thiols (37) was tested on a β-lactamase library of mutants. | PMC10064326 | gzad003f3.jpg |
0.520471 | 26b98242b4124e19b3682f9d3b75b5e5 | Immobilization methods using ncAAs. Examples of click-chemistry reactions for protein immobilization: (a) Huisgen 1,3-dipolar cycloaddition, (b) inverse-electron-demand Diels-Alder reaction and (c) 43-mediated immobilization. R1 and R2 represent the target protein or functionalized surface for immobilization. (d, e) Schematic representation of the immobilization strategies through ncAAs: (d) immobilization of proteins globally incorporating ncAAs and (e) site-oriented immobilization. The colored arrows represent the orientation and exposition of the active site. The ncAAs are represented as orange or yellow stars. Figure created with BioRender.com. | PMC10064326 | gzad003f4.jpg |
0.43052 | 3eca342cc5c54d14ab9c5ad52e6e0693 | ROC curves of TyG index for metabolic syndrome according to NCEP and IDF criteria, respectively, for rural population in Brazil. | PMC10065379 | 2359-4292-aem-65-06-0704-gf01.jpg |
0.504162 | e35eff8ef96b4e0e9c5451b487d31480 |
Flowchart for the basic evaluation of a patient with chronic neutropenia.
| PMC10065839 | hs9-7-e872-g001.jpg |
0.492906 | 4b651dfcbe544df7bb1db131e4ede417 | Flowchart for the investigation of isolated neutropenia in neonates. The flowchart is recommended in cases of isolated neutropenia without a phenotype suggestive of any specific disease/syndrome. *The neutropenia is defined as true if absolute neutrophil counts are out of range for the corresponding gestational age and there is no a prenatal growth retardation. AIN = autoimmune neutropenia; HDN = Rh-hemolytic disease of the newborn; HNA = human neutrophil antigens; IN = idiopathic neutropenia; NAN = neonatal alloimmune neutropenia; NEC = necrotizing enterocolitis; SGA = small for gestational age; TTTS = twin-twin transfusion syndrome. | PMC10065839 | hs9-7-e872-g002.jpg |
0.44638 | fcbb766076bf416b8dd2ae3a45415ecb | Preparation of PRP (a) centrifuge at 300G for 5 mins; (b) RBCs and PRP separated by buffy coat (c) second spin at 500G for 10 mins; and (d) final PRP loaded in Syringe. | PMC10066673 | JOCR-12-105-g001.jpg |
0.441221 | c51b38a9d95f4e73801fe08a023e9aa0 | (a) PRP stored in ACD tube; (b) PRP injection through suprapatellar approach; and (c) PRP injection through anterolateral soft spot. | PMC10066673 | JOCR-12-105-g002.jpg |
0.489218 | 4890ddb399fa414eaef96eefdfa83883 | Pre- and post-treatment KOOS scoring charted with bar chart. | PMC10066673 | JOCR-12-105-g005.jpg |
0.430446 | 3b8a086517ce44ac9ad67de92d26d576 | Descripción de la frecuencia de coinfecciones por el virus de la gripe y del SARS-CoV-2 (n=8). | PMC10066906 | revespquimioter-36-180-g001.jpg |
0.442362 | 604fdb85ec6e4f908719fab879e01599 | Caterpillar plot of ranked residuals for general practices with 95% confidence intervals for log-odds of exploring suicidal thoughts | PMC10067310 | 12875_2023_2043_Fig1_HTML.jpg |
0.535003 | c294bdb86c254a19b6afde63ad2f0cf4 | MHC-Ⅱ-independent anti-tumor mechanisms of CD4+ cytotoxic T lymphocytes (CD4 CTLs). CD4 CTLs can secret effector cytokines, IFN-γ and TNF-α, that (1) induce senescence-associated growth arrest in tumor cells, (2) destruct tumor blood vessels, and (3) stimulate immune effector cells, such as CD8+ T cells (“CD8 T”), natural killer cells (“NK”), and macrophages (“Mø”), to kill tumor cells. | PMC10068340 | bmb-56-3-140-f1.jpg |
0.474485 | 8946f729c974490aaf30ed12514b07ea | Facilitators identified by providers that clinics may benefit from
implementing. | PMC10068983 | 10.1177_00469580231159488-fig1.jpg |
0.418919 | 27cc7b38091c4c1a847e47f7b51fb476 | LH2 monomer.
(a) Side view: the B850 ring (18 BChl molecules) and
the B800 ring (9 BChl molecules) are colored green and blue, respectively.
(b) Top view. (c) Distance from equilibrium as a function of time
(black) compared to a biexponential fit (green). The inset shows the
Boltzmann distribution (green line) compared to adHOPS equilibrium
populations (gray squares) of eigenstates ordered by absolute index
(|ν|). (d) Population dynamics of the first seven eigenstates.
σ = 160 cm–1 for site energy static disorder.
Convergence parameters are listed in Table S6. | PMC10069740 | jz3c00086_0001.jpg |
0.46137 | d5b4f42145974959be71a463c6299769 | Exciton transport in a mesoscale aggregate
of LH2. (a) LH2 37-mer
(top) and schematic of a hexagonally packed B850 complex with three
concentric shells (bottom). Solid arrows represent the length scale
of coherent transport; dashed arrows represent the onset of diffusive
transport. (b) adHOPS population dynamics of the donor and three concentric
shells of B850 rings, color-coded to match the bottom part of panel
a. (c) Mean-squared deviation (MSD) of the excitation. (d) Coherent
early time exciton transport. (e) Diffusive late time exciton transport.
σ = 160 cm–1 for site energy static disorder,
and angular static disorder is given by randomly orienting all B850
rings in each trajectory. Convergence parameters are listed in Table S6. | PMC10069740 | jz3c00086_0002.jpg |
0.435028 | 4e22f02889e148fd9a43d79d1860e88f | LH2 dimer rates. (a)
Population transport calculated with adHOPS
(solid lines) and a single-exponential fit starting at 600 fs (dashed
lines) in an LH2 dimer with inter-ring separation R of 6.5 nm (inset). (b) Transport rates for an LH2 dimer with an
inter-ring separation of R when all couplings are
allowed (circles) and when inter-ring couplings involving dark states
are neglected (squares). In all cases, σ = 160 cm–1 for site energy static disorder, and angular static disorder is
given by randomly orienting both B850 rings in each trajectory. Convergence
parameters are listed in Table S6. | PMC10069740 | jz3c00086_0003.jpg |
0.466758 | 21c068b1b1734e2895a9375756637fd4 | Analysis of dimeric and tetrameric S100B effect over Aβ42 aggregation mechanisms. Normalized traces of ThT-monitored aggregation of monomeric Aβ42 [6 μM in panel (A) or 2 μM in panel (B)] in the presence of increasing molar ratios of (A) S100B-Ca2+ dimer:Aβ42 (0–5.8) or (B) apo-S100B tetramer:Aβ42 (0–0.5) with the (C,D) respective values of aggregation half-times (t1/2). Solid lines depict global fits of each curve obtained by varying the rate constants of primary (knk+) and secondary (k2k+) Aβ42 aggregation pathways, with the relative values of each combined rate constant plotted as a function of S100B (E) dimer and (F) tetramer ratios. In all cases, error bars represent standard deviation of three experiments. | PMC10070764 | fnins-17-1162741-g001.jpg |
0.470564 | 7848d96cd63a4b9ab44d514d12077eaa | Effect of S100B dimer and tetramer over Aβ42 oligomerization flux distributions. Normalized kinetic traces and global fits (solid lines) of unseeded ThT-monitored aggregation of Aβ42 [6 μM in panel (A) or 4 μM in panel (B)] in the absence and presence of (A) dimeric S100B-Ca2+ (S100B:Aβ42 = 5.8) or (B) tetrameric apo-S100B (S100B:Aβ42 = 0.5) with indication of the relative secondary pathways combined rate constants (k2k+, insets). Kinetic traces of high-seeded (20% Aβ42 fibrils). ThT-monitored aggregation of Aβ42 [6 μM in panel (C) or 4 μM in panel (D)] in the absence and presence of (C) dimeric S100B-Ca2+ (S100B:Aβ42 = 5.8) or (D) tetrameric apo-S100B (S100B:Aβ42 = 0.5), depicting the plot regions used for linear fits (dashed lines) and the calculated relative elongation rate constants (k+, insets). Error bars represent standard deviation of three experiments. Relative Aβ42 oligomerization flux/nucleation rate distributions (solid lines) in the absence/presence of (E) dimeric S100B-Ca2+ (S100B:Aβ42 = 5.8) or (F) tetrameric apo-S100B (S100B:Aβ42 = 0.5) and total amounts of oligomers calculated by integration of each distribution in respect to time (insets). | PMC10070764 | fnins-17-1162741-g002.jpg |
0.482096 | 79ff6fd040c849d1b3b539c01e6c9c15 | ThT and X-34 differential fluorescence analysis of Aβ42 aggregation and TEM imaging of X-34 positive oligomers. (A) Comparison of Aβ42 (6 μM) aggregation kinetics monitored by the ThT and X-34 fluorophores. (B) Representative transmission electron microscopy images of Aβ42 aggregation at the time-points of (top) 2 and (bottom) 4 h. Gray and blue insets represent three-times ampliation of Aβ42 amyloid-like fibrils and small oligomers/background, respectively. Black arrows pinpoint Aβ42 amyloid fibrils. (C) Temporal evolution of ThT subtracted X-34 positive species (average values, n = 3) overlayed with Aβ42 oligomer mass fraction progression [O(t)] calculated from aggregation rate constants (black solid line), portraying a significant intersection between experimental and simulated kinetics. See Supplementary Figures 3A–C for details on the mathematical formalism employed. | PMC10070764 | fnins-17-1162741-g003.jpg |
0.46429 | 8bd8c02be4214fb6ad4e3cc5010e4230 | ThT and X-34 differential fluorescence analysis support the S100B dimer and tetramer suppressor effect over Aβ42 oligomeric species. Normalized kinetic traces of (A,B) ThT or (C,D) X-34 monitored aggregation of monomeric Aβ42 [6 μM in panels (A,C) or 2 μM in panels (B,D)] in the presence of increasing molar ratios (A,C) of S100B-Ca2+ dimer:Aβ42 (0–5.8) or (B,D) apo-S100B tetramer:Aβ42 (0–0.5). ThT subtracted X-34 kinetic traces (average values, n = 3) of all (E) S100B-Ca2+ dimer and (F) apo-S100B tetramer concentrations assayed. Non-normalized kinetic traces are depicted in Supplementary Figure 4. | PMC10070764 | fnins-17-1162741-g004.jpg |
0.424342 | 0742df4909324e6aa2b475b5df4a05f7 | The chaperone activity of dimeric and tetrameric S100B suppresses the generation of intermediate oligomers during Aβ42 aggregation. (A) S100B dimer and tetramer suppression of Aβ42 oligomerization based on the discreetly distinct inhibition of multiple aggregation micro-steps and the preferential targeting of fibril catalyzed secondary nucleation. (B) Radar plot illustrating the complementary effect of dimeric (red) and tetrameric (blue) S100B, under the conditions tested, on the diverse parameters illustrating Aβ42 aggregation and oligomer formation: secondary nucleation and fibril elongation rate constants (k2 and k+, respectively), maximum oligomer influx and total number of oligomers (measured, respectively, by peak height, PH, and area under the curve, AUC, of Aβ42 oligomerization distributions) and relative amounts of X-34 positive oligomers. To facilitate data comparison, each parameter was transformed by applying the operator p (–log10), such that a higher inhibition will result in a more eccentric point in the plot. | PMC10070764 | fnins-17-1162741-g005.jpg |
0.413406 | 82f63a1db7bb4761bf19aa789c3ef0cf | Genetic profile of T-cell acute lymphoblastic patients at diagnosis. (A) Frequency of variants per patient in the cohort (n=145). (B) Frequency of patients showing recurrently mutated genes (cut-off of ≥5 mutations/gene). (C) Pairwise associations observed between the recurrently mutated genes and the biological characteristics of the disease at presentation. Positive and negative correlations are depicted as magenta and green circles, respectively. Circle diameters indicate the degree of significance. Y: years; ETP-ALL: early T-cell precursor acute lymphoblastic leukemia; NDI: not determined immunophenotype; abn: abnormalities; CK: complex karyotype; NE: non-evaluable karyotype. | PMC10071117 | 108969.fig1.jpg |
0.412044 | e86836f5940c4cf3af14d4a7287d4c4d | Scheme of the genetic profile of each T-cell acute lymphoblastic patient, its response and evolution during treatment. Only genes recurrently mutated in ≥5 patients are shown. Each mutation is indicated by a square: brown squares correspond to genes contained in the worse-outcome genetics (WOG) signature; dark green squares correspond to mutations in the FBXW7 gene (good-outcome genetics [GOG] signature) and pink squares correspond to other mutated genes. Treatment response and patient evolution data are shown at the bottom. Induction + 14d indicates the percentage of blast cells in bone marrow 14 days after starting induction therapy; induction + 35d corresponds to measurable residual disease (MRD) values at the end of the first induction blocks (induction 1); induction-2 indicates patients that received or not an Induction-2 treatment block. Consolidation corresponds to MRD values at the end of consolidation chemo-block. Post-consolidation indicates treatment choice (allogeneic stem cell transplantation or chemotherapy) based on MRD values at the end of the consolidation treatment. On the right, the percentage of cases mutated in the different genes are indicated. NA: not available. | PMC10071117 | 108969.fig2.jpg |
0.393695 | 156d1ae4cde248c385faf5d385ee749a | Prognostic stratification of adult T-cell acute lymphoblastic patients according to overall survival defined by the presence of worse-outcome genetic mutations and measurable residual disease status 35 days after starting therapy. (A) Overall survival (OS) according to measurable residual disease (MRD) levels at 4 years (y) showed rates of (95% confidence interval [CI]: 35-63) in patients with MRDlow (<0.1%) and 8% (95% CI: 0-23) for those with MRDhigh (.0.1%). (B) OS according to worse-outcome genetics (WOG) mutational status at 5 y showed rates of 13% (95% CI: 0-26) in the WOG-mutated patients (WOG+) and 45% (95% CI: 32-58) in non-mutated patients (WOG-). (C) OS according to WOG mutational status and MRD values (d+35) at 5 y was 52% (95% CI: 37-67) for patients with MRDlow (<0.1%) and WOG- (standard-risk-patients), compared with 17% (95% CI: 1-33) for high-risk patients including MRDhigh plus WOG-, MRDlow plus WOG+ and MRDhigh plus WOG+. | PMC10071117 | 108969.fig3.jpg |
0.400748 | ccdac76e6aef408a9f984802508a0e80 | Genetic diversity and population structure of Tolai hares in Xinjiang based on mtDNA. (A). Phylogenctic tree constructed using ML method. (B). Nucleotide diversity (π). (C). Median-joining network of Tolai hare haplotypes. The hatch marks on the line indicates the mutation numbers. | PMC10071308 | fgene-14-1179564-g003.jpg |
0.449407 | dd3cba96dc4e465498b0915a9e311e00 | Annualized longitudinal changes in [18F]MK6240 SUV in cerebellar candidate reference regions. (A–C) ΔSUV of [18F]MK6240 did not significantly differ across diagnosis (A), Aβ status (B), and diagnosis and Aβ status (C). (D) Coefficient of variation of longitudinal changes in SUV within reference regions. Δ = change calculated as (follow-up SUV − baseline SUV)time (y). Inf = inferior; sup = superior. | PMC10071794 | jnumed.122.264434f1.jpg |
0.429767 | a5d6e825b4cc450db4cde2d4cf98b4d3 | Cross-sectional and longitudinal meningeal [18F]MK6240 SUVR across groups. (A) Representative [18F]MK6240 average SUVR image in CUY individuals. (B) Cross-sectional and longitudinal changes in [18F]MK6240 (ΔSUVR) in telencephalon and cerebellar meninges showing no significant differences depending on diagnosis and Aβ status. Δ = change calculated as (follow-up SUVR − baseline SUVR)time (y). Yellow arrows indicate meninges. | PMC10071794 | jnumed.122.264434f2.jpg |
0.449516 | 9b029dc2151a4027bb0ce35fbdc49d49 | [18F]MK6240 age-related retention. (A) [18F]MK6240 average SUVR images in CUY and CU Aβ− individuals did not seem to show strong differences visually. t test between 2 groups depicts age-related retention in putamen, pallidum, cortical regions, and cerebellar white matter. (B) Percentage of overlap between age-related t-map and anatomic brain regions. (C) Longitudinal changes (ΔSUVR) in [18F]MK6240 SUVR in putamen/pallidum did not present significant differences across groups, whereas cross-sectional SUVR was higher in CI individuals and lower in CUY group. ***P < 0.001. **P < 0.005. Δ = change calculated as (follow-up SUVR − baseline SUVR)time (y); WM = white matter. | PMC10071794 | jnumed.122.264434f3.jpg |
0.524373 | ea1d9b50bbf5446ab3ffb0641ee98971 | Correlations between longitudinal changes in SUVR in age-related, meningeal, and target regions. We assessed ΔSUVR in regions presenting target (Braak I–VI), off-target (both telencephalon and cerebellar meninges), and age-related (putamen/pallidum) tracer uptake. We observed strong ΔSUVR among target regions; however, those did not correlate with ΔSUVRs in off-target and age-related regions. Matrix (A) and plots (B) present estimates of Pearson correlations between regions. Δ = change calculated as (follow-up SUVR − baseline SUVR)time (y). | PMC10071794 | jnumed.122.264434f4.jpg |
0.453115 | b779b2d4015e46a590261cc78adccf07 | Themes and subthemes from participant views. aResponses from exercise participants only (n = 21). | PMC10071982 | otad019_fig1.jpg |
0.442726 | d1da9461cd474e43a55454e045e4f2fb | Deletion of gsh-px did no effect on the growth of L. monocytogenes in vitro. Overnight-grown bacteria were washed and diluted (1:100) in fresh BHI broth with (B) or without H2O2
(A), incubated at 37°C for 12 h. Data were expressed as mean ± SD. | PMC10073551 | fmicb-14-1122623-g001.jpg |
0.427602 | e05abf9facc44841b00cf47b3eac6147 | Deletion gsh-px of L. monocytogenes increased the tolerance to copper and iron, but not to hydrogen peroxide. Bacteria were treated with 10 mM H2O2
(A), 5 mM Cu2+
(B) and 10 mM Fe3+
(C) for 1 h, and alive bacteria were counted by plate counting. The experiments were conducted for triplicate and data were expressed as mean ± SD. ns, no significance; *, p < 0.05; **, p < 0.01. | PMC10073551 | fmicb-14-1122623-g002.jpg |
0.428052 | 4af3ffb179db403892c359c59f9fe20c | Cytosolic GSH concentration was significantly improved upon copper and iron treatment. Wild type strain Lm850658 was treated with BHI containing 10 mM hydrogen peroxide, 5 mM copper or 10 mM iron for 3 h and then bacteria were collected and lysed with lysozyme for 30 min. The concentrations of GSH were measured with commercial kit supplied by Beyotime Biotechnology as manufacturer’s instruction. The experiments were conducted for triplicate and data were expressed as mean ± SD. ns, no significance; *, p < 0.05; **, p < 0.01. | PMC10073551 | fmicb-14-1122623-g003.jpg |
0.421062 | ff32f60eefaf4d3184a3cccdb038c2dd | Mutation of gsh-px increased the adhesion (A) and invasion (B) ability of L. monocytogenes to Caco-2 cells. Epithelial cells Caco-2 were incubated with Lm850658, Δgsh-px and CΔgsh-px for 1 h, the adhesive bacteria were collected and counted by plate counting and the invasive bacteria collected after killing the extracellular bacteria with gentamycin. Finally, the adhesion and adhesion rates were calculated using the adherent and invasive bacteria divided by the initial bacteria. The experiments were conducted for triplicate and data were expressed as mean ± SD. ns, no significance; *, p < 0.05; **, p < 0.01. | PMC10073551 | fmicb-14-1122623-g004.jpg |
0.399409 | 993065e4a2524745ad19e98d1b2f6a70 | Deletion of gsh-px enhanced the virulence of L. monocytogenes to mice. Mice were infected with 107 CFU by intraperitoneal injection with Lm850658, Δgsh-px and CΔgsh-px. Bacteria load in the livers (A), spleens (B) and brains (C) were counted by plate counting after mice were euthanasia at 48 h post infection. Data were expressed as mean ± SD. ns, no significance; *, p < 0.05; **, p < 0.01. | PMC10073551 | fmicb-14-1122623-g005.jpg |
0.461736 | 07d4ffc2520440d0ae564ffa0cf16075 | Deletion of gsh-px upregulated the expression of major virulence factors in L. monocytogenes. Overnight cultured bacteria were collected and the expression levels of the major virulence factor InlA, InlB and LLO were measured by western blot (A). The gray value ratio was calculated by the band gray value of virulence factor relative to that of GAPDH (B). Data were expressed as mean ± SD. ns, no significance; *, p < 0.05; **, p < 0.01. | PMC10073551 | fmicb-14-1122623-g006.jpg |
0.506103 | 3afdbfd2e9d94f1e98d1252af710ece9 | Deletion of gsh-px increased the glutathione levels in L. monocytogenes. Lm850658, Δgsh-px and CΔgsh-px were collected and lysed with lysozyme for 30 min. The concentrations of GSH were measured with commercial kit supplied by Beyotime Biotechnology as manufacturer’s instruction. The experiments were conducted for triplicate and data were expressed as mean ± SD. ns, no significance; *, p < 0.05; **, p < 0.01. | PMC10073551 | fmicb-14-1122623-g007.jpg |
0.470046 | 6a315dd2fa3144248b06f58142b806f3 | Dissection of market types by six market criteria. | PMC10073593 | gr10_lrg.jpg |
0.416826 | f4db80bd9251470e92d2d21d67a9c73e | Statistics at country level for domestic (top) and international (bottom) connections. | PMC10073593 | gr11_lrg.jpg |
0.38516 | b6e941afdf544b4680d2150be61fb458 | Evolution of load factors across the four market types. | PMC10073593 | gr12_lrg.jpg |
0.509024 | 7367fcf0d35c4e15a7d277385d8fe5dc | Integrated comparison of passenger counts and load factors. The red box visualizes the area within standard deviation from the mean of both variables, respectively. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.) | PMC10073593 | gr13_lrg.jpg |
0.420117 | bde8dbc0c19e451e89cfbf18eb4043d2 | Integrated comparison of passenger counts and load factors. For each market, the evolution of ratios is plotted using color, from the first month to the last month of the recovery. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.) | PMC10073593 | gr14_lrg.jpg |
0.407479 | 45632c98b6154858acc22b4154dfcf7f | Comparison of seats per operations. | PMC10073593 | gr15_lrg.jpg |
0.421927 | 3fe7ad5dcd8041cfb9f37d1018cf82e7 | Identification of distinct analysis periods based on the monthly number of passengers in the global aviation system. Three periods are highlighted: pre-pandemic normality in green (Jan 2019–Feb 2020), the time from shock to response in red (Mar 2020–Apr 2020), and recovery in blue (May 2020–Jun 2022). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.) | PMC10073593 | gr1_lrg.jpg |
0.388216 | e93fb85c641c4459b90ee9d6c6142569 | Four distinct market types during pre-pandemic and recovery phase. The y-axis corresponds to the number of passengers on direct flights at the market and the x-axis visualizes time. The gray hatched area corresponds to the period between shock and response; since this study is concerned with recovery, we do not take into consideration the market evolution during that hatched period. | PMC10073593 | gr2_lrg.jpg |
0.392037 | 2db41cbe18574cb99b67c1668202f855 | Toy example for visualizing the four market classes for recovery analysis based on an example with five months (left to right). The third month (highlighted in pink) is considered the period between shock and recovery. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.) | PMC10073593 | gr3_lrg.jpg |
0.403043 | 9d2d0e29d8fb48cdaeb98bf24b5ea142 | Recovery quadrants based on passenger (x-axis) and load factor (y-axis) ratios. | PMC10073593 | gr4_lrg.jpg |
0.424573 | 9921f8e4031048b0abe310d890618d0a | Overview on airports in this study. Each circle corresponds to one airport and the size correlates with the number of destinations served. | PMC10073593 | gr5_lrg.jpg |
0.44626 | 114ec2d93f134708b2fd915cf9659d4a | Evolution of the number of served markets in the four market types. The green areas highlight the Summer cycle (June–August, respectively) and the red area emphasizes the peak impact of COVID-19 (March and April 2020). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.) | PMC10073593 | gr6_lrg.jpg |
0.425479 | 49a61f43704347f794022dfc8d868836 | Distribution of route size (log) across the four categories (red color) and over all markets (gray color) as reference. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.) | PMC10073593 | gr7_lrg.jpg |
0.431377 | b2ba4661a80a49e2995863f2b4815e1c | Distribution of departure frequencies (log) across the four categories (red color) and over all markets (gray color) as reference. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.) | PMC10073593 | gr8_lrg.jpg |
0.415566 | 7af375d767a4403e816565e733629f34 | Distribution of route length (log) across the four categories (red color) and over all markets (gray color) as reference. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.) | PMC10073593 | gr9_lrg.jpg |
0.416696 | 45e0ebdd7d164aedae09d5f570717bfd | Simulated apartment in outpatient rehabilitation. (A) Laundry task. (B) Shopping task. (C) Kitchen task. (D) Bed-making and laundry-folding tasks. Activity scripts are completed using the facilities at MedStar National Rehabilitation Hospital, Washington DC. | PMC10073694 | fphys-14-1116878-g001.jpg |
0.437647 | 4b7c764b2fdc488bb9e40d7fded6659d | Scatter plots of video-labeled or estimated use ratios with (A) ARAT and (B) MAL. | PMC10073694 | fphys-14-1116878-g002.jpg |
0.411364 | ac283c1e1f0f4962a81a1be671f8282f | Bland–Altman plots. Difference in use ratios calculated using machine learning versus video-labeled accelerometry data are shown on the y-axis. The mean of use ratios calculated using machine learning and video-labeled accelerometry are shown on the x-axis. Solid gray line shows mean difference (mean ± SD = 0.004 ± 0.0.04) between use ratios calculated by the two methods; solid red lines show the 95% CI for the mean difference. | PMC10073694 | fphys-14-1116878-g003.jpg |
0.385366 | f8ae3a8148b74ff790b03d4a61ea2d96 | Component plot in rotated factor space. A single component accounts for 83% of the variance in UE behavioral measures of UEFM, ARAT, nine-hole peg test, self-reported MAL, and the use ratios. This is evidenced on the component plot. Forcing a 2-component solution results in MAL and nine-hole peg test scores splitting from the UEFM, ARAT, and use ratios, evidenced by MAL falling closer to component 1 axis, as shown here. | PMC10073694 | fphys-14-1116878-g004.jpg |
0.458892 | 4999425a337d408890221b17bf0ade44 | Flow chart of exclusion and inclusion of patients, and categorisation by high-sensitive cardiac troponin T (hs-TnT) | PMC10074855 | 12873_2023_787_Fig1_HTML.jpg |
0.446991 | 4f08d93aff2c4c4b98cf5837ae299022 | Kaplan-Meier curve for the three groups | PMC10074855 | 12873_2023_787_Fig2_HTML.jpg |
0.386571 | bf18f0d23d6c49579089a2b4facbc458 | The nomogram for predicting pathological complete response (pCR) in patients with breast cancer who undergo neoadjuvant chemotherapy (NAC). Each variable was assigned a score based on its contribution to the outcome. A vertical line through each variable locates the axis that determines respective prognostic score. The total score provides an estimated probability of achieving pCR. | PMC10075137 | fonc-13-1117538-g001.jpg |
0.422786 | f61f2f104db240a3b8dce1170c3f8ac7 | Calibration curves for actual versus predicted proportion of pathological complete response (pCR) using the nomogram (A) in the training cohort; and (B) in the validation cohort. The diagonal line represents performance of an ideal nomogram. | PMC10075137 | fonc-13-1117538-g002.jpg |
0.391588 | f6966ab2c15244b0adf8d924d21219ba | Receiving operator characteristic curves for the pathological complete response prediction model (A) in the training cohort; and (B) in the validation cohort. | PMC10075137 | fonc-13-1117538-g003.jpg |
0.474169 | 528f8d2bf146447c838fd89e86626dd6 | Decision curve analysis for the nomogram predicting the possibility of pathological complete response. | PMC10075137 | fonc-13-1117538-g004.jpg |
0.502052 | 32fceb62b1154758a482f396e6b7d9dc | Clinical impact curve of the developed nomogram model. | PMC10075137 | fonc-13-1117538-g005.jpg |
0.410236 | 80762c51c1744c3d91b6638a48841b05 | Simulation of evolutionary trajectories with RosettaEvolve.Mutations are proposed at the nucleotide level and nucleotide changes are translated into amino acid substitutions. The fitness of a mutation is estimated by calculating the change in stability of the protein with a ΔΔG prediction method using the Rosetta all-atom energy function. Based on the change in fitness (selection coefficient) the probability of fixating the proposed nucleotide/amino acid is evaluated. | PMC10075473 | pcbi.1010262.g001.jpg |
0.460241 | a861e571c15749708a17088ea0b5f95a | Equilibration of azurin.A) Mean change in energy (blue) relative to the lowest energy amino acid choice and mean energy rank (orange) as a function of branch length for a simulation with selection pressure set to -162. The standard deviation for the ΔE values is on the order of 2.5 REU, while the error for the mean of energy is around 0.2 REU. B) Dependence of mean energy of accepted sequences (red) and mean rank (blue) on the selection pressure (fitness function offset). | PMC10075473 | pcbi.1010262.g002.jpg |
0.474176 | e6789812193d4614abca8d277a843cb5 | The selection pressure affects the ΔΔG proposal and acceptance probability distribution.A) Proposal ΔΔG probability distribution as function of selection pressures. Values above 30 energy units (corresponding to severe atomic clashes) were placed in the highest bin. B) Accepted ΔΔG probability distribution as function of selection pressure. C) Mean proposal ΔΔG value (correspond to the distribution < 100 energy units) as a function of selection pressure(blue), with a fitted line (blue). The logarithm of number of available sequences as a function of selection pressure (red) calculated with an assumption of independent sites in the protein. Energies in Rosetta Energy Units (REU). D) Correlation between premutation energy and accepted ΔΔG values as a function of selection pressure. Correlations are measured as squared Pearson correlation coefficients. | PMC10075473 | pcbi.1010262.g003.jpg |
0.418386 | 1bbb196805c8440ca0b659fdeac6ab36 | Simulation of phylogenetic trees of azurin with RosettaEvolve.Dependence of sequence entropy of leaf sequences with reference energies. The green line corresponds to the entropy in the natural sequences used to infer the azurin tree. The red line corresponds to the energy of the native sequence of azurin. The yellow line corresponds to the selection pressure that maximizes the correlation between computed and empirical amino acid substitution rates in Norn et al. [7]. | PMC10075473 | pcbi.1010262.g004.jpg |
0.430704 | 6b143629105f4db9b9bd524ee8c92ee7 | ROC curve for residue-residue contact prediction.A) Comparison of ROC curve for natural sequences (black) and two simulated alignments (red and orange) at two different reference energies. The blue line shows the diagonal. B) Dependence of contact-prediction accuracy (AUC) on selection pressure. The green line corresponds to AUC for the natural sequence. The yellow line corresponds to the selection pressure that gives the optimal correspondence between predicted and empirical amino acid substitution rates in a Rosetta-based rate prediction method [14,33]. | PMC10075473 | pcbi.1010262.g005.jpg |
0.399756 | c43ae24217394095bbf7cd668d613b9e | Pair interaction energy for contacts predicted from alignments.Distribution of pair interaction energies for contacts predicted by Gremlin (blue, mean represented by the orange line) and all contacts within the structure (gray, mean represented by the yellow line) as a function of selection pressure. The width of the violin is related to the frequency of a given pair interaction value. Energies in Rosetta Energy Units (REU). | PMC10075473 | pcbi.1010262.g006.jpg |
0.461663 | 70d8cf5b7ef24096b2bf08a33df62682 | Fluctuation in substitution rates during a trajectory and correlations with stability.A) Correlation between calculated and empirical site-specific rates (calculated as R2-values) for azurin (blue) as a function of the number of introduced mutations. Fluctuation in energy as a function of introduced mutations (blue). B) Correlation between R2-values and energies are shown in A). Selection pressure in trajectory is set to -322. C) Site-specific rates for the sites in azurin. Residue 41 (blue), residue 49 (green) and residue 66 (red). Empirical site rates from rate4site as solid lines and dashed lines show mutational events at the site. D) Dependence of site-rates in C) with premutation stability. Energies in Rosetta Energy Units (REU). | PMC10075473 | pcbi.1010262.g007.jpg |
0.474574 | 13a032f4fb45446c9a293967fbdca99f | Bar charts of features of narrative production. Learners at low vs high levels of the three target languages showed consistent differences in 9 of 14 narrative characteristics. * indicates that the two groups of learners were statistically different (p < 0.05). | PMC10076318 | 41597_2023_2090_Fig1_HTML.jpg |
0.380384 | bfd67060f58d45bfa3deb9f7a380e4cb | Principal component analysis (PCA) for 14 measures of narrative production. Dimension 1 was indicated by questions related to “length” as indicated by features, including the total number of utterances, the total number of words, and the type of words, while Dimension 2 was labelled as “Content” due to the contribution of mean length of utterances. | PMC10076318 | 41597_2023_2090_Fig2_HTML.jpg |
0.447594 | e8e701e49968433a935b16fe84c85570 | Bar charts of two narrative production components extracted using principal component analysis (PCA). Learners at low versus high levels of the three target languages showed consistent differences in both components. * indicates that the two groups of learners were statistically different (p < 0.05). | PMC10076318 | 41597_2023_2090_Fig3_HTML.jpg |
0.417299 | 3ecd59e949854b28a4e2401778e4fd3c | Correlation matrix of two components of the PCA of narrative production and other measures of language proficiency. | PMC10076318 | 41597_2023_2090_Fig4_HTML.jpg |
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