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0.457161 | 614eda074d7b4ef985478cf34667332a | Survival of Klebsiella michiganensis when treated with DW, QA, and PAW in a planktonic cell system (error bars indicate standard deviation). | PMC10371827 | gr3.jpg |
0.531078 | 21be852d612d47fc8591549c50f41d60 | Total aerobic plate count of naturally occurring bacteria on surface of dirty eggs (DE) and visually clean eggs (VC) (error bars indicate standard deviation). | PMC10371827 | gr4.jpg |
0.410863 | 7ed510bcb02b4d7f9959733166dadeaa | Survival of Klebsiella michiganensis on surface of egg; “m” denotes massaging treatment and “s” denotes submerging of eggs in solution (error bars indicate standard deviation; data that do not share the same letter are significantly different from each other). | PMC10371827 | gr5.jpg |
0.369035 | 616180fc28a246eaa40aac44800e419d | Survival of Klebsiella michiganensis in wash water used for treatment of artificially contaminated shell egg surfaces. “m” denotes massaging treatment and “s” denotes submerging of eggs in solution (error bars indicate standard deviation; data that do not share the same letter are significantly different from each other). | PMC10371827 | gr6.jpg |
0.445003 | e26c7dee04544f19bd956ae562f3ba02 | Pictures of eggs stained with MST cuticle blue dye with and without (control) treatment with sanitizers. | PMC10371827 | gr7.jpg |
0.426389 | e8cbddde68af4cd6ae67253bb6173237 | ΔEab* value of unsanitized egg (control) and eggs treated with PAW, DW, and QA. | PMC10371827 | gr8.jpg |
0.478335 | d273de6e29534e71b63e0a93db524100 | Peak force (N) required to crack shell eggs after treatment with sanitizers, at 3 positions—small end up (SEU), small end down (SED), and equatorial (EQ). | PMC10371827 | gr9.jpg |
0.449145 | ea8e3981180b48c5961687378c2b73c3 | Boxplots of relative differences (a, b) and absolute values (c, d) of segmental MBF in whole patient group between OSEM-TOF-PSF and BSREM presented for the a, c) 17- and b, d) 3-segment polar maps | PMC10371909 | 12350_2022_3164_Fig1_HTML.jpg |
0.416783 | bfbabb7652cc402cae89e80c6765fa4f | Correlation analysis of segmental a MBF (ml⋅g−1⋅min−1), b PTF and c VL obtained using OSEM-TOF-PSF and BSREM reconstructions. Segments of non-ischemic (black) and ischemic (blue) patients as well as rest (red) studies are shown in different colors. The line-of-identity is visualized in green. Results for 17 segments are shown in the left column and 3 segments (LAD, RCA, and LCX) in the right column | PMC10371909 | 12350_2022_3164_Fig2_HTML.jpg |
0.445784 | c4993f26d3d743daa71f5d9139f9feb6 | Bland–Altman scatter plots of segmental a MBF (ml⋅g−1⋅min−1), b PTF, and c VL obtained using BSREM and OSEM-TOF-PSF reconstructions. Results for 17 segments are shown in the left column and 3 segments (LAD, RCA and LCX) in the right column | PMC10371909 | 12350_2022_3164_Fig3_HTML.jpg |
0.404321 | 6a4d613d9e0f4fa4976bd90c8818d7dd | The 17-segment polar maps of the two subjects classified discordantly between OSEM-TOF-PSF and BSREM based on the definition by Danad et al.5 In a OSEM-TOF-PSF (1st patient) and b BSREM (1st patient), c OSEM-TOF-PSF (2nd patient) and d BSREM (2nd patient) reconstructions are presented. The patients were classified ischemic based on the OSEM-TOF-PSF reconstruction and non-ischemic based on the BSREM reconstruction | PMC10371909 | 12350_2022_3164_Fig4_HTML.jpg |
0.42948 | 8f69615f37ca435aa6e3a08304bde30f | A specific pattern of behavioral changes is induced by each drug class.a Timeline of experiment. Each recording session consisted of 60 min baseline followed by a drug injection and recording for another 60–120 min. Behavioral and electrophysiological data were averaged over -35 to -5 min for baseline measurements and 30 to 60 minutes for on-drug measurements (relative to drug injection). At least 24 h passed between recording sessions. b Examples of tracked motion for each condition. On baseline, the animal was mostly passive and moved occasionally in bouts along the walls of the circular arena (indicated by the dashed line). On the 5-HT2AR psychedelics LSD and DOI, the locomotion behavior was very similar to baseline. In contrast, the NMDAR psychedelics ketamine and PCP induced clear hyperlocomotion, and especially ketamine induced ataxic, unstable gait. Amphetamine induced strong hyperlocomotion and vigorous sniffing (seen here as wiggly traces). c Average changes in behavior for each condition (Base = baseline, 2A = LSD or DOI, NMDA = ketamine or PCP, Am = amphetamine). Bars show mean and SEM, asterisks show significance at the p < 0.05 (*), p < 0.01 (**), and p < 0.001 (***) levels (nested ANOVA). Top left: distance traveled during 30 min. Top center: speed. Top right: percentage of time spent in the center. Bottom left: number of head-twitch responses per minute. Bottom center: ataxia score (3 is max). Bottom right: stereotypy score (3 is max). | PMC10372079 | 42003_2023_5093_Fig1_HTML.jpg |
0.369513 | 1c1e16d769fa4ec382377d33746373db | Modulation of neuronal firing rates in response to 5-HT2AR and NMDAR psychedelics.a Electrode locations as determined by micro computed tomography. b Example average waveform from a single unit in prelimbic cortex. The gray area indicates SEM. The blue lines indicate waveform features (peak width, peak-to-valley time and valley width) used to classify the neuron as a putative principal cell. c Spike autocorrelogram of the example unit in (b). d–f. Standardized neuronal firing rate responses to 5-HT2A agonists (d), NMDA antagonists (e) and amphetamine (f). Each row shows the activity of a single unit and rows are rank ordered according to the response during the drug period (indicated by the black bar). g Average standardized neuronal firing rate responses to 5-HT2A agonists (left), NMDA antagonists (middle) and amphetamine (right) for different cell populations (PC = putative principal cells, IN = putative interneurons, X = unclassified cells). The response is calculated as average z-scores during 30 to 60 min post-drug injection compared to baseline (−35 to −5 min). Asterisks indicate significance at the p < 0.05 level (nested ANOVA). The numbers next to the cell labels indicate the number of cells in each population. h Fraction of modulated cells as response to 5-HT2A agonists (left), NMDA antagonists (middle) and amphetamine (right) for different cell populations (PC = putative principal cells, IN = putative interneurons, X = unclassified cells). The fractions of downmodulated cells are shown in blue and upmodulated cells are shown in red. Asterisks indicate significance at the p < 0.05 level (binomial test). i. Comparison of IN vs PC rate modulations reveals a similar pattern of modulation for NMDA and amphetamine (IN inhibition, PC excitation), while 5-HT2A induces inhibition in both IN and PC populations. Pink = 5-HT2A, red = NMDA, gray = amphetamine. OFC orbitofrontal cortex, mPFC medial prefrontal cortex, SMC sensorimotor cortex, TAA temporal association area, vStr ventral striatum. | PMC10372079 | 42003_2023_5093_Fig2_HTML.jpg |
0.461375 | dde56918f2ed47c2b8c11adb2139cf6a | HFOs are enhanced by 5-HT2AR and NMDAR psychedelics but not by amphetamine.a Example monopolar traces of LFPs recorded in the ventral striatum (shell of nucleus accumbens) before (top) and after (bottom) LSD administration. The scale bar indicates 10 ms. The signal was low pass filtered at 500 Hz. b–d. LFP spectrograms from bipolar ventral striatum recordings during administration of LSD (b), ketamine (c) and amphetamine (d). A clear increase in high-frequency oscillations around 150 Hz (HFOs) is evident after injection of ketamine or LSD, but not after amphetamine. The color scale is in units of dBfractal, i.e. decibels normalized to the fractal noise background. The translational movement speed is shown below each spectrogram. e Power spectra from bipolar LFPs averaged over time and treatment groups (gray = baseline, pink = 5-HT2A agonists, red = NMDA antagonist, blue = amphetamine). The time periods used were −35 to −5 min for baseline and 30– 60 min for drug treatment relative to injection (also indicated in (b–d) as horizontal bars above each spectrogram). Shaded areas show bootstrapped 95% confidence intervals. f Distribution of HFO detection rates in different structures, showing that high detection rates are much more common in 5-HT2A and NMDA conditions. Each value is the average detection rate for a condition in a structure during one recording session. g Summary of HFO detection rates in different structures, showing a similar pattern of HFO prevalence for 5-HT2A agonists and NMDA antagonists. HFOs were classified as persistent (red; more than 90% detections in more than 33% of sessions), prevalent (orange; more than 50% detections in more than 33% of sessions), occasional (yellow, if not in any other class) or absent (gray; more than 5% detections in less than 5% of sessions). OFC orbitofrontal cortex, mPFC medial prefrontal cortex, SM Cortex sensorimotor cortex, vStr ventral striatum, dStr dorsal striatum. | PMC10372079 | 42003_2023_5093_Fig3_HTML.jpg |
0.483021 | 2742a6ca876744ed93bc4e8bbb6354ff | Spike entrainment to HFOs.a Waveform of example interneuron from PFC. b Autocorrelograms of the example neuron during baseline (left) and during ketamine treatment (right). c Time-course of the firing rate of the example neuron (top) and LFP spectrogram (bottom). d LFP traces (top: unfiltered, bottom: bandpass filtered 110–190 Hz) with spikes from the example neuron superimposed (vertical dotted lines). e Spike-triggered averages for the example neuron during baseline (gray) and ketamine treatment (red). Dotted lines show 95% confidence intervals (calculated with random spike dithering). f LFP phase histograms of the example neuron during baseline (gray, top) and ketamine treatment (red, bottom) calculated from LFPs bandpassed at the HFO frequency (110–190 Hz). Zero is defined as the trough of the HFO. g. Summary histograms of the preferred phase of all entrained neurons as estimated with the von Mises distribution. All neurons with kappa>0.1 were included. Entrained neurons showed a clear preference for phases ~2 radians before the HFO trough in PCs, INs and unclassified cells (PC: p = 0.002, IN: p = 0.017, X: p < 0.001, Rayleigh test). However, there was only a modest increase of 17% in the entrainment strength (mean kappa) during the psychedelic state compared to baseline (p = 0.034, nested ANOVA). We found no significant difference between the 5-HT2A and NMDA conditions in terms of entrainment strength (p = 0.53, nested ANOVA). | PMC10372079 | 42003_2023_5093_Fig4_HTML.jpg |
0.457262 | 9723c50283984802bc16f364b168517e | HFOs are globally phase locked but have multiple sources.a Example traces of bandpass filtered monopolar LFPs (110–190 Hz, zero-phase FIR) recorded simultaneously from the olfactory cortex (OC; blue), the ventral striatum (vStr; red), the medial prefrontal cortex (mPFC; yellow) and the orbitofrontal cortex (OFC; purple) during LSD treatment. Strong co-modulation of the HFO amplitude can be seen both within and between structures, as well as examples of independent modulation within and between structures. b Autocorrelograms of the instantaneous amplitude of all channels with clear HFOs during the psychedelic state (5-HT2A or NMDA). The black line is the average. Most autocorrelograms had a single clear peak (FWHM = 50±18 ms) consistent with spindle-like amplitude modulation with a spindle length of about 50 ms. c Cross-correlations of the instantaneous amplitude between all channel pairs with clear HFOs during the psychedelic state (5-HT2A or NMDA, n = 1032). Each dot shows the average cross-correlation for all pairs with channels in the same combination of anatomical structures. Pairs with both channels in the same anatomical structure (“Within”) had higher cross-correlations on average than pairs with channels in different structures (“Between”). However, some pairs showed between-structure co-modulations that were similar in strength to the within-structure values. d 2D histogram showing the relationship between HFO frequencies in pairs of structures during the psychedelic state (5-HT2A or NMDA). Each data point comes from two simultaneously obtained spectra calculated from an 8 s time window. The high count on the diagonal shows that the frequency is very similar in all structures at any given time, despite a high degree of frequency modulation. e Example monopolar LFP traces showing a single HFO spindle recorded simultaneously from 7 electrodes in the olfactory bulb (OB; top), the ventral striatum (vStr; middle) and the orbitofrontal cortex (OFC; bottom) during treatment with LSD. Electrode positions are shown to the left. Vertical dashed lines are aligned to the peaks of the top OB trace (black) to facilitate comparisons of peak times between electrodes. Polar plots to the right show histograms of the phase difference of each electrode relative to the black OB electrode (based on the whole drug treatment period 30–60 min after injection). f Scatter plot showing mean phase differences and κ values for the phase difference distributions of each electrode pair (n = 6237). Most pairs had a non-random phase relationship (86% with κ > 1). Of those, 95% had a mean phase difference close to 0 (|φ|\documentclass[12pt]{minimal}
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\begin{document}$$ > \frac{3}{4}\pi$$\end{document}>34π ; red dots). g. Swarm plot of phase differences relative to the olfactory bulb for all electrode pairs (n = 1686) grouped on structure. Each black dot is one electrode pair and red crosses indicate the median for the structure. A positive value means that the structure leads the olfactory bulb. Asterisks indicate that medians are significantly different from zero at the p < 0.05 (*), p < 0.01 (**) and p < 0.001 (***) levels (Wilcoxon signed rank). OB olfactory bulb, OC olfactory cortex, vStr ventral striatum, dStr dorsal striatum, OFC orbitofrontal cortex, mPFC medial prefrontal cortex. h Examples of phase inversion in monopolar LFP traces from two nearby electrodes in the olfactory cortex (OC) and two nearby electrodes in the orbitofrontal cortex (OFC) during ketamine treatment. This indicates the presence of local current dipoles between each electrode pair. Both raw LFP traces (“Wide”) and bandpass filtered traces (“Narrow”) are shown. Note that the OC pair is not recorded simultaneously with the OFC pair in this example. i Histograms of the frequency of the highest peak in the Granger causality spectra between pairs of bipolar measurements during baseline (top) and during the psychedelic state (5-HT2A or NMDA; bottom). Pairs were included if they came from structures with prevalent HFOs (OC, OFC, mPFC, vStr, and dStr) and if the peak value was larger than 0.2. During baseline, dominant peaks were most frequent in the classic gamma range around 40 Hz. During the psychedelic state, dominant peaks were instead most frequent in the HFO band around 150 Hz. j Example Granger causality spectra for one bipolar measurement in medial prefrontal cortex (mPFC) and one bipolar measurement in ventral striatum (vStr) during an NMDA antagonist experiment (ketamine; top) and a 5-HT2A experiment (LSD; bottom). The blue spectra show the causality of mPFC on vStr, while the red spectra show the causality in the opposite direction. Solid lines show the drug treated period and dashed lines show the corresponding baselines. The dotted vertical lines indicate the HFO frequency in the corresponding recording. k Median Granger causality values during the psychedelic state (5-HT2A or NMDA) calculated from the spectrum peak in the HFO band for all co-recorded structures with clear HFOs. Black squares indicate missing data. | PMC10372079 | 42003_2023_5093_Fig5_HTML.jpg |
0.417753 | 48f152d2e02d4c208b8f39140e0ecb58 | Joshanloo's vs. Keyes's Happiness Models. | PMC10372227 | gr1.jpg |
0.430726 | d05a3abf4c4f42a288f3023f3c388ade | Fisher's workplace happiness model. | PMC10372227 | gr2.jpg |
0.44483 | 1be2464108fa4e41b5cfc123c2028d14 | Analytical process Flow. | PMC10372227 | gr3.jpg |
0.429787 | d031dc1a28a54c8190846bde2f9ec39a | Performance and happiness scores' box plot chart, correlation coefficients, and time graph. | PMC10372227 | gr4.jpg |
0.521895 | 93fffe69be1e4c14b5749eac44116697 | Modeling process Flow. | PMC10372227 | gr5.jpg |
0.506829 | dc9a5c1afd52406c8c457db85e630db8 | The schema of the study. ctDNA, circulating tumor DNA; nmPCa, non-metastatic prostate cancer. | PMC10372593 | crt-2022-1557f1.jpg |
0.478383 | 3bef7a675cf14328be822c1da1661fbe | The genomic profiles of the studied patients. (A) The genomic landscape of the studied patients. Each column represents alterations detected in individual sample. Upper track shows circulating tumor DNA (ctDNA) fractions. Frequencies of specific gene alterations are displayed on the right side. The color represents copy number variant, missense mutation, frame shift indel, nonsense mutation, splice and germline alteration. Cases with multiple variants in one gene are represented by split colors. (B) The somatic alteration count of ctDNA and matched tumor tissue samples in nine patients. (C) The comparison of the alteration frequencies between the patients with non-metastatic prostate cancer (PCa) and the patients with metastatic PCa. mCRPC, metastatic castration-resistant PCa; mCSPC, metastatic castration-sensitive PCa. | PMC10372593 | crt-2022-1557f2.jpg |
0.429566 | 8ac145506e3147418fce7f22a3d9b6ab | Circulating tumor DNA (ctDNA) status and clinical outcomes. (A) The overview of the studied patients according to the time to biochemical recurrence (BCR) and ctDNA status. (B) Kaplan-Meier curves for time to BCR of the patients with detectable ctDNA and with undetectable ctDNA. (C) Kaplan-Meier curves for time to BCR of the patients with and without pathogenic alterations. | PMC10372593 | crt-2022-1557f3.jpg |
0.462273 | 2dacbe3024334267b7887d6caac2f67d | The association between circulating tumor DNA (ctDNA) status and biochemical progression-free survival (bPFS). Kaplan-Meier curves for time to biochemical recurrence of the patients with detectable ctDNA and with undetectable ctDNA according to clinical T category (A, B) and clinical N category (C, D). | PMC10372593 | crt-2022-1557f4.jpg |
0.411867 | 6c51faf1b2ae43789cbc6eb98d178481 | Repetitive CVs of the
GCE in pH 7.0 PBS containing 2.0 mM ANSA
scanned between −1.2 and +1.8 V at a scan rate of 100 mV s–1 for 15 cycles. Inset: (A) 1st cycle and 15th cycle
CVs and (B) CVs of the (b) bare GCE and (b) stabilized poly(ANSA)/GCE
in monomer free 0.5 M H2SO4. | PMC10372944 | ao3c00805_0002.jpg |
0.617959 | 145dff379c904dc18fd7ac774bb097a5 | A) CV
curves and (B) Nyquist plots of the (a) bare GCE and (b)
poly(ANSA)/GCE in pH 7.0 PBS containing 10.0 mM [Fe(CN)6]3–/4– in 0.1 M KCl at a scan rate of 100 mV s–1 in the
frequency range: 0.01–100,000 Hz, amplitude: 0.01 V, and potential:
0.23 V. | PMC10372944 | ao3c00805_0003.jpg |
0.538393 | bad19f0093e142928eeca6669e76c6de | CV curves of the bare GCE (a,b) and poly(ANSA)/GCE (c,d) in the
absence (a,c) and presence (b,d) of 1.0 mM NFN in pH 7.0 PBS at a
scan rate of 100 mV s–1. | PMC10372944 | ao3c00805_0004.jpg |
0.446538 | 82fbd2aa6bfe4f7799344e02f396e2b0 | (A) CV curves
of the poly(ANSA)/GCE in PBS of various pH values
(a–k: 4.0, 4.5, 5.0, 5.5, 6.0, 6.5, 7.0, 7.5, 8.0, 8.5, and
9.0, respectively) containing 1.0 mM NFN, (B) plot of the peak (a)
potential and (b) current versus pH values, and (C)
effect of scan rates (a–k: 10, 20, 40, 60, 80, 100, 125, 150,
200, 250, and 300 mV s–1, respectively) on peak
current of 1.0 mM NFN in pH 7.5 PBS. | PMC10372944 | ao3c00805_0005.jpg |
0.443963 | 89824fd5c2c24ff2a06e14ed520b7761 | SWVs of the GCE (a, c), and poly(ANSA)/GCE (b,d)
in PBS pH 7.5
containing no NFN (a,b) and 1.0 mM NFN (c,d) at step potential: 4
mV, amplitude: 25 mV, and frequency: 15 Hz. Inset: blank subtracted
SWVs of (a) unmodified and (b) poly(ANSA)/GCE. | PMC10372944 | ao3c00805_0006.jpg |
0.480654 | 576d52d971554b409d4f795cf718c648 | Background corrected SWVs of the poly(ANSA)/GCE
in pH 7.5 PBS containing
various concentrations of NFN (a–n: 0.01, 0.1, 1.0, 10.0, 20.0,
40.0, 80.0, 120.0, 160.0, 200.0, 250.0, 300.0, 350.0, and 400.0 μM,
respectively) at Estep 6 mV, Eamp 35 mV, and frequency 20 Hz. Inset: plot of Ipa (% RSD as error bar) vs concentration
of NFN. | PMC10372944 | ao3c00805_0007.jpg |
0.69219 | c363bd86ccb542af9d0a39088b59af2a | Structural Formula of Norfloxacin | PMC10372944 | ao3c00805_0008.jpg |
0.514597 | 2e52597171924bf884ca304a07d7fdcc | Proposed Oxidation Mechanism of NFN | PMC10372944 | ao3c00805_0009.jpg |
0.478054 | 22b574dfe84f479fb6260ec0637c6081 | Visual representation of SMOTE.xi: Randomly selected minority class sample; xzi: Instance close to xi; xnew: New artificial example generated by interpolation between two instances. | PMC10374143 | pone.0288540.g001.jpg |
0.459208 | c1177876d4d14d5fa9fff100d9bcc242 | Illustration of TL. | PMC10374143 | pone.0288540.g002.jpg |
0.539283 | fb5cb6d047534f3ea978f18b09ff6caf | Backbone model under low complexity (c = 1).MIN: Minority class; MAJ: Majority class. | PMC10374143 | pone.0288540.g003.jpg |
0.442012 | 745bffae483a456ca10b89535b337b0f | Backbone model under medium complexity (c = 2). | PMC10374143 | pone.0288540.g004.jpg |
0.45897 | b6d4316902604804a1349e75fedbb23f | Backbone model under extreme complexity (c =2, but classes are spaced apart). | PMC10374143 | pone.0288540.g005.jpg |
0.43827 | f12219f3f72c42c38b72efcfd4f58375 | Differences between ROC and PR curves. | PMC10374143 | pone.0288540.g006.jpg |
0.450962 | 2873d7e5de244909b3811b058701fa11 | Differences in AUPRC ranks under low complexity.The star markers at the top of bars indicate significant performance gains. | PMC10374143 | pone.0288540.g007.jpg |
0.462405 | fab58bf23bc4429b9aff1aae83a6a376 | Differences in AUPRC ranks under medium complexity.The star markers at the top of bars indicate significant performance gains. | PMC10374143 | pone.0288540.g008.jpg |
0.494379 | 3206909281804018b36d04aba7d4b3a9 | Difference in AUPRC ranks under extreme complexity.The star markers at the top of bars indicate significant performance gains. | PMC10374143 | pone.0288540.g009.jpg |
0.420464 | 19fa4286998c49bc93d65ddd196a6f68 | Mean differences in AUPRC values using F3.The more complex the dataset, the darker the color of the bar. | PMC10374143 | pone.0288540.g010.jpg |
0.427598 | 93d62649d22c419cbc82eebae3ca5f33 | Mean differences in AUPRC values using N2.The more complex the dataset, the darker the color of the bar. | PMC10374143 | pone.0288540.g011.jpg |
0.43982 | 7656e01f6485465998d3c0289758888d | Mean differences in AUPRC values using C2.The more complex the dataset, the darker the color of the bar. | PMC10374143 | pone.0288540.g012.jpg |
0.435047 | 716eaffb668c473e834ef557d9c0aba2 | Complex and noncomplex areas in real datasets. | PMC10374143 | pone.0288540.g013.jpg |
0.377249 | cc953ae555f24e25a9ce66e0fad59736 | An example of the fuzzy rules. | PMC10374573 | 41598_2023_39371_Fig1_HTML.jpg |
0.394702 | 8f98420adf4a456dbe39beaf169253e8 | The diagram of the dietary model based on the Mamdani fuzzy inference system. | PMC10374573 | 41598_2023_39371_Fig2_HTML.jpg |
0.407908 | 794766134ae34e00b115c57ec707d435 | Cancer types of study patients by sex | PMC10374673 | 432_2023_4711_Fig1_HTML.jpg |
0.408559 | d0a7a51cbbbb4a78ad415d0417e88abc | Marker of tumor proliferation, Ki-67 by sex (n = 1148) | PMC10374673 | 432_2023_4711_Fig2_HTML.jpg |
0.451526 | 59ee66db08244a4582e6e13c9af4e84f | Cancer stage (according to UICC) at diagnosis by sex | PMC10374673 | 432_2023_4711_Fig3_HTML.jpg |
0.453008 | 6dcfdd46a87e4f2895648522a7592806 | Site of metastasis by sex | PMC10374673 | 432_2023_4711_Fig4_HTML.jpg |
0.409517 | 40ba38b5310d4734b906096705cdcb38 | Types of 3D cell culture systems. A) Liquid overlay. B) Cells aggregate at the bottom tips of drops. C) Suspension bioreactor. D) Scaffold‐based technique. | PMC10375105 | ADVS-10-2207050-g001.jpg |
0.466068 | 3e27b0fcb39041db85c3086aa1fafad2 | Mechanisms of cell‐based therapy. A) Stem cells differentiate or replace specific cells. B) Stem cells produce various growth factors that exert trophic functions. C) Stem cells play an immunomodulatory role by exerting biological effects on various types of immune cells through cytokines in a non‐contact manner or through membrane‐bound molecules in a contact manner. D) Exosomes from stem cells play a regulatory role as mediators of intercellular communication. | PMC10375105 | ADVS-10-2207050-g002.jpg |
0.406213 | 8bd522e68b9c4079b17b01f1feeaff17 | Different types of cells and their derivatives are used in the treatment of DMDs. | PMC10375105 | ADVS-10-2207050-g008.jpg |
0.406903 | 87a1e7d3e97c4f43b51b11cee75bd258 | Composition analysis of EEGE. (A) Chromatogram of EEGE. (B) Chromatogram of standard. (C) Chemical structure of p-hydroxybenzyl alcohol, p-hydroxybenzaldehyde and 4,4'-dihydroxydiphenylmethane. EEGE, ethyl acetate extract of Gastrodia elata; p-, phosphorylated. | PMC10375435 | etm-26-02-12104-g00.jpg |
0.449113 | 6b6f5f4e08e744f780fcf9b8dc72ee4e | Effect of EEGE on C. elegans. Effects of EEGE on (A) paralysis, (B) life span, (C) heat stress, (D) Juglone-induced oxidative stress, (E) locomotor ability and (F) reproductive capacity of C. elegans. *P<0.05 and **P<0.01 vs. the Control. EEGE, Ethyl acetate extract of Gastrodia elata. | PMC10375435 | etm-26-02-12104-g01.jpg |
0.425982 | d0671821fc164dfd934bb1576c0d922d | EEGE decreases ROS and Aβ accumulation in C. elegans. (A) ROS accumulation in C. elegans. (B) ROS fluorescence value per unit area. (C) Effect of EEGE on Aβ aggregation in N2 and CL2006 C. elegans. (D) Deposition of Aβ in C. elegans. The white light and fluorescence images of ROS in N2 C. elegans were observed under a fluorescence microscope (magnification, x100). The fluorescence images were observed in N2 and CL2006 C. elegans after Thioflavin S staining by a laser scanning confocal microscope (magnification, x200). **P<0.01 vs. the Control. EEGE, Ethyl acetate extract of Gastrodia elata; Aβ, β-amyloid; ROS, reactive oxygen species. | PMC10375435 | etm-26-02-12104-g02.jpg |
0.474249 | 62f5d6c873bd43118e49ad64186af4b0 | Effects of EEGE on antioxidant enzymes and ROS levels in C. elegans. (A) CAT activity. (B) SOD activity. (C) MDA content. (D) Continuous changes of ROS fluorescence in C. elegans. **P<0.01 vs. the Control. ROS, reactive oxygen species; SOD, superoxide dismutase; MDA, malondialdehyde; CAT, catalase; EEGE, Ethyl acetate extract of Gastrodia elata. | PMC10375435 | etm-26-02-12104-g03.jpg |
0.418868 | d1b0be55a2d5426a8886a14e770f5128 | Distribution and enrichment analysis of DEGs of RNA-sequencing. (A) Volcano map of DEGs. Red dots represent upregulated genes, green dots downregulated genes and gray dots represent genes with no significant differences. (B) GO analysis for DEGs. (C) KEGG analysis for DEGs. DEGs, differentially expressed genes; GO, Gene Ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes. | PMC10375435 | etm-26-02-12104-g04.jpg |
0.469086 | 3b7592dfe8f9438698058302a1379e08 | The result verification of RNA-Seq. (A) Validation of up-regulated genes in DEGs. (B) Validation of down-regulated genes in DEGs. **P<0.0 vs. the Control. RNA-Seq, RNA Sequencing; EEGE, Ethyl acetate extract of Gastrodia elata. | PMC10375435 | etm-26-02-12104-g05.jpg |
0.481349 | 028523e569b24e979ff0948ed7687481 | Coagulation biomarkers and COVID-19 severity | PMC10375602 | 12959_2023_524_Fig1_HTML.jpg |
0.43953 | 0e8293675dfb4280b71522a2e20d1937 | Coagulation biomarkers and COVID-19 mortality | PMC10375602 | 12959_2023_524_Fig2_HTML.jpg |
0.444923 | 2d43ba5ec4b1450bbd1ec7692f5d7a6c | Spearman´s correlations between biomarker levels. The magnitude of each correlation is denoted with a colour, whereby the red colour indicates a positive correlation, and the blue colour indicates a negative correlation. * denotes significant correlation (p < 0.05) | PMC10375602 | 12959_2023_524_Fig3_HTML.jpg |
0.406444 | d818ddaab135424a8da2d2d83ce031c8 | Gene clusters (modules) of MP-12 inoculated Bos taurus gene co-expression network. Each colour on the x-axis represents a gene module. WGCNA's dynamic tree cut function trims the gene dendrogram at different heights based on expression similarities (y-axis), resulting in 11 module colours (x-axis). The number of genes contained in each module is represented by the width of the different coloured modules at the bottom of the figure. The wider the colour bar, the more genes contained in the module. | PMC10375796 | gr1.jpg |
0.487834 | 61b29093e4f549e9b00fbb910d7e18ee | Number of genes contained in the gene modules. Each module is represented by the gene module colour. As shown in the pie chart, seven modules were identified. The black module contains 349 genes. | PMC10375796 | gr2.jpg |
0.404634 | 4273ce5ebb304ed084b52c6a177dae5c | An illustration of the interactions among components of the seven modules in the MP-12 inoculated Bos taurus gene co-expression network. Genes and interactions are depicted as nodes and edges respectively. Nodes are colour-coded to indicate their module membership. The gene co-expression network shown includes only genes with an interaction weight exceeding 0.05. This visualisation demonstrates the complexity of gene interactions in the MP-12 inoculated Bos taurus co-expression network. Only genes with significant co-expression relationships are shown. | PMC10375796 | gr3.jpg |
0.442052 | 45ca52747b244f21bdbc0fe6e2d696af | Interactions of the MS12 hub gene within the brown module with other genes. | PMC10375796 | gr4.jpg |
0.464229 | 19b3353e87734ce38c52217c24e087cb | Interactions of the EIF2AK2 hub gene within the purple module. | PMC10375796 | gr5.jpg |
0.465513 | 6504194168e04bccb1db3ce54ce2138c | Interactions of the ERC2 hub gene within the turquoise module. | PMC10375796 | gr6.jpg |
0.449522 | 17dd23bbdd384ca0a200011d44af55fe | Interactions of the TMSB10 hub gene within the blue module. | PMC10375796 | gr7.jpg |
0.508384 | 3987bdd3bdc44fa08d739980c3181aad | Protocol for hydrogel coating engineered vessels. Tissue rings were formed by inducing the self-organization of a vascular cell monolayer around a central post in a dish to form a ring. Rings were stacked to form the engineered vessel. The vessel was transferred to a mold containing a solution of an extracellular matrix hydrogel and cells (i.e., fibroblasts). After the first round of hydrogel coating polymerization, the vessel was rotated 180° and the coating process was repeated for complete coverage. | PMC10376319 | bioengineering-10-00780-g001.jpg |
0.44629 | 5298568f59b944a786b0b5ae901a3f17 | Mechanical properties of extracellular matrix hydrogels alone. (a) Tensile setup for a gelapin hydrogel sample. (b) Average stress–strain graphs of 10:2% gelapin, 9.6 mg/mL fibrin, 4 mg/mL collagen, and 4 mg/mL—2% collagen–genipin demonstrate the (c) elastic moduli and (d) ultimate tensile strength varied significantly between optimized hydrogels. * Denotes significance between groups (p < 0.05). Scale bar = 5 mm. | PMC10376319 | bioengineering-10-00780-g002.jpg |
0.43872 | 3f96979e12b84708ae4c7adcb285b0d7 | Fibrin stimulates fibroblast proliferation and healthy elongated morphology. Live cell fluorescence images of fibroblasts (green) embedded into the hydrogel groups reveal greater cellular viability in fibrin followed by collagen hydrogels over a 7 d culture. Scale bar = 500 µm. | PMC10376319 | bioengineering-10-00780-g003.jpg |
0.379105 | bb9efe39e3f14cf789846dfeecca684b | Fibrin hydrogel coating with cells strengthens vessel longitudinal mechanics over time. (a) Tensile setup and average stress–strain graphs of adventitia vessels coated with each hydrogel type cultured for 1 d and 14 d. Fibrin gel significantly increased vessel longitudinal (b) elastic modulus and (c) ultimate tensile strength over the culture duration. Additionally, fibrin was significantly stronger than collagen and collagen–genipin at 14 d. * Denotes significance between groups (p < 0.005). Scale bar = 5 mm. | PMC10376319 | bioengineering-10-00780-g004.jpg |
0.426209 | a7f4b4490a564aa8a814f4da69caa7a8 | Circumferential strength of fibrin-coated vessels increased over time. (a) Circumferential tensile setup and (b) average stress–strain graphs of fibrin coated adventitia vessels after 1 d and 14 d of culture. Prolonged culture resulted in significantly higher (c) elastic moduli and (d) ultimate tensile strength. Scale bar = 10 mm. * Denotes significance between groups (p < 0.05). | PMC10376319 | bioengineering-10-00780-g005.jpg |
0.453055 | e039b52ef2c34794bb7e9b17948b9254 | Adventitia vessel histology reveals cellular organization and collagen production. Hematoxylin and eosin staining of (a) fibrin- and (d) collagen-coated vessels show a robust cellular layer bordered by fibrin hydrogel and localization of the exterior coating on the abluminal surface. (b,e) Picrosirius Red and (c,f) Masson’s Trichrome showed collagen presence within the tissue. Collagen was observed in both fibrin and collagen hydrogel groups with evidence of more collagen in the collagen group. L indicates lumen area. Scale bar of 4× images = 500 µm. Scale bar of magnified 10× images (dashed border) = 200 µm. | PMC10376319 | bioengineering-10-00780-g006.jpg |
0.490427 | ce0003bff574493ea8b9cb712afe3b9b | Treatment recommendations based on recent updates from the 2022 Barcelona Clinic Liver Cancer (BCLC) Guidelines [18]. Adapted from “Barcelona Clinic Liver Cancer (BCLC) Staging and Classification”, by BioRender.com (2023). https://app.biorender.com/biorender-templates, accessed on July 2023. | PMC10376862 | biology-12-00999-g001.jpg |
0.425076 | 5413a1342b004fb082b8a2dd0860169c | A 55-year-old male patient with (a) a lesion in segment 6 biopsy–proven as hepatocellular carcinoma (*)—on post-contrast T1-weighted imaging. (b) After microwave ablation, the lesion (*) demonstrated a lack of enhancement compatible with a complete radiographic response on the 1-month follow-up MRI (c) intraprocedural treatment CT of microwave ablation. | PMC10376862 | biology-12-00999-g002.jpg |
0.481825 | 027b5db131e24298870cd6379c3c4d90 | A 62-year-old female patient with (a) an arterially-enhancing lesion (*) in segment 8, compatible with hepatocellular carcinoma on post-contrast T1-weighted imaging. (b) After TACE, the lesion (*) demonstrated a lack of enhancement, compatible with a complete radiographic response on the 2 month follow-up CT. (c) Intraprocedural angiogram of TACE depicting the embolic distribution of the right lobar artery. | PMC10376862 | biology-12-00999-g003.jpg |
0.443403 | 62d32dc45c804a9f99ff643b10cc99a2 | ROC analysis for OS prediction based on the NTR in 141 patients with OSCC. The AUC was 0.679 (p = 0.002; specificity = 44.4%; sensitivity = 87.2%), and 0.273 was determined to be the optimal NTR cutoff for OS prediction. Abbreviations: AUC, area under the curve; NTR, lymph node-to-primary tumor standardized uptake value ratio. | PMC10376942 | biomedicines-11-01954-g001.jpg |
0.372247 | 39e5cf2d731646f9b6f214ff1057265e | Kaplan–Meier curve of (A) OS and (B) DFS, stratified by the NTR. Worse prognosis was observed in patients with an NTR of ≥0.273. Abbreviation: NTR, lymph node-to-primary tumor standardized uptake value ratio. | PMC10376942 | biomedicines-11-01954-g002.jpg |
0.46436 | 7a46c8013aa0410388f64eb98886d53a | (A) Nomogram for OS prediction incorporating independent prognostic factors in the multivariable analysis. Each prognostic factor’s contribution to risk is represented by the line segments and uppermost points. Total score is the sum of each factor’s points. Drawing a vertical line downward from the total score point yields the likelihood of 3- and 5-year OS. Calibration plots for (B) 3-year OS and (C) 5-year OS. The gray line at 45° represents perfect OS prediction; the predicted outcomes of the nomogram are represented by the blue line. The blue dots and bars reflect the performance of the nomogram and the 95% CIs for the OS predictions, respectively. Abbreviations: MD, moderately differentiated; NTR, lymph node-to-primary tumor standardized uptake value ratio; PD, poorly differentiated; WD, well differentiated. | PMC10376942 | biomedicines-11-01954-g003.jpg |
0.444304 | 677c8bd088a74f0e8b2f02ad14d25158 | Schematic representation of the microarray chip setup. The polycarbonate chip with immobilized antibodies (top) is adhered with a double-sided adhesive with a cut-out flow channel (middle) to the polyoxymethylene carrier (bottom). On the right, the spotting scheme for optimization and calibration experiments is shown. | PMC10377473 | biosensors-13-00670-g001.jpg |
0.484273 | 04de5f57b3a74009aa2420030a151036 | Calibration curve of ELISA for IFN-β (n = 3). Limit of detection (LOD) 1.60 pg mL−1, median effective concentration (EC50) 1082 pg mL−1. | PMC10377473 | biosensors-13-00670-g002.jpg |
0.443953 | 3712a1bdc8bf483789c6d6c4ea01bac0 | Schematic representation of the flow-based CL-SMIA. (1): pre-incubation of the sample and anti-human interferon beta (IFN-β) detection antibody (DAB). (2): Sample injection into the flow cell of the microarray chip and on-chip incubation and interaction of the IFN-β-DAB complex with immobilized anti-human IFN-β capture antibody (CAB). (3): Sample delivery in a flow cell of the microarray chip on MCR-R (Microarray Chip Reader-Research). (4): Streptavidin-horseradish peroxidase (strep-HRP). (5): CL reagents delivery over the chip. (6): Acquisition of image. | PMC10377473 | biosensors-13-00670-g003.jpg |
0.406546 | 4befbbecc7904ba39d270f53fb2e2982 | Optimization of the strep-HRP dilutions for CL-SMIA (n = 3): (a) chemiluminescence (CL)-signals and (b) signal-to-control ratios (SCRs). | PMC10377473 | biosensors-13-00670-g004.jpg |
0.377188 | dac6f9e4526f42bfb754cab7db2d1a2d | Optimization of pre-incubation step for CL-SMIA (n = 2): (a) CL-signals and (b) SCRs. | PMC10377473 | biosensors-13-00670-g005.jpg |
0.442941 | 74dfc1f85b344746a5639aa80de19f50 | Optimization of incubation in microarray chip for CL-SMIA (n = 2): (a) CL-signals and (b) SCRs. | PMC10377473 | biosensors-13-00670-g006.jpg |
0.417163 | c5225e2be4c74286abfda854d1b3f5c2 | Optimization of sample delivery over the chip for CL-SMIA (n = 2): (a) CL-signals and (b) SCRs. | PMC10377473 | biosensors-13-00670-g007.jpg |
0.395095 | f7dba8f7488a480bb7eb635090d56346 | Optimization of DAB concentration for CL-SMIA (n = 2): (a) CL-signals and (b) signal-to-control ratio. | PMC10377473 | biosensors-13-00670-g008.jpg |
0.466312 | 73b4a8362ae743a89e233b0f00737105 | Calibration curve of CL-SMIA for IFN-β with an immobilized CAB concentration of 0.125 mg mL−1 (n = 3, LOD 4.53 pg mL−1, EC50 3860 pg mL−1). IFN-β concentrations of 2000 and 4000 pg mL−1 were excluded from fit due to CCD camera saturation. | PMC10377473 | biosensors-13-00670-g009.jpg |
0.431999 | 280208d34f804559bbee1a894fa7f8bc | Schematic diagram of preparation of PST/PAN/PIN ternary conductive composite. | PMC10377499 | biosensors-13-00729-g001.jpg |
0.455717 | 0b4eaf619a4f420c9df687c4267296a5 | FTIR spectra of PST, PAN and PST/PAN/PIN. | PMC10377499 | biosensors-13-00729-g002.jpg |
0.526973 | 00566ae3d3694726a67f9b966bd29f18 | TGA thermograms for PST, PAN, PIN and PST/PAN/PIN. | PMC10377499 | biosensors-13-00729-g003.jpg |
0.450379 | f9494e7780984aeca65e3eff03428ac0 | (A) XRD spectrum of BiVO4, (B) FTIR spectra of BiVO4, PC, MWCNT and MWCNT@PC@BiVO4 electrodes, (C) Mott-Schottky, (D) UV-Vis absorption spectra, (E) DRS spectra and (F) Kubelka–Munk graphs of prepared ITO/BiVO4, ITO/PC, ITO/MWCNT and ITO/MWCNT@PC@BiVO4 electrodes. | PMC10377499 | biosensors-13-00729-g004.jpg |
0.458928 | 85c8ff92c8694084a1e9aa2a2698f260 | The energy band diagram of prepared non-enzymatic quercetin sensor based ITO/MWCNT@PC@BiVO4. | PMC10377499 | biosensors-13-00729-g005.jpg |
0.439534 | 64a39d2eaf624c2b9433570ac23e06dc | FE-SEM images of (A) BiVO4 and (B) MWCNT@PC@BiVO4 composites and (C) EDX spectrum of MWCNT@PC@BiVO4 composites. | PMC10377499 | biosensors-13-00729-g006.jpg |
0.427578 | 037895ed989049298d55a26404b7570b | Elemental mapping images of prepared MWCNT@PC@BiVO4 composites. | PMC10377499 | biosensors-13-00729-g007a.jpg |
0.45748 | bebc0fd1c6434386a5d0899ae670fe22 | (A) Photocurrent vs. potential (LSV) curves, (B) time dependent photocurrent (i-t), (C) Nyquist plot, (D) Bode plot, (E) equivalent circuit model and (F) dark mode Nyquist plot in 100 µM quercetin solution on light of fabricated sensors. | PMC10377499 | biosensors-13-00729-g008.jpg |
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