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0.420705
895ef268214c4baea32d790d1d2e73b3
Students’ satisfaction on face-to-face anatomy laboratory sessions.Students’ (n = 105) satisfaction on face-to-face anatomy laboratory sessions was ranked on a 3-point Likert-type scale (1 = satisfied and 3 = not satisfied). Students were asked about the impact of the modified schedules and methods of teaching in anatomy laboratory sessions they experienced after the COVID-19 pandemic, as represented by pie graphs. The 3- and 5-point Likert scale scores are shown in percentage. Abbreviation: COVID-19 = coronavirus disease 2019.
PMC9000102
pone.0266426.g003.jpg
0.483523
153c18c5c89b409e9b56c4c51782e032
Schematic illustration of emission modes, detection mechanisms, and the applications of MOF-based fluorescent sensors for hazardous materials detection.
PMC9000234
molecules-27-02226-g001.jpg
0.447308
88f0e0dc37c44121a4747a8c11dca69c
Emission modes of LMOFs.
PMC9000234
molecules-27-02226-g002.jpg
0.386059
dc3050674d7040148e6e6d29b515419b
Detection mechanisms of LMOFs.
PMC9000234
molecules-27-02226-g003.jpg
0.396526
d2c9a60b6953419384b754a352abd5b1
(a) The post-synthesis process of UIO-66-ONa. (b) Fluorescence spectra of UIO-66-ONa after the gradual bubbling of CO2. (c) Fluorescence spectra of UIO-66-OH and UIO-66-ONa before and after bubbling of CO2. Adapted from [28].
PMC9000234
molecules-27-02226-g004.jpg
0.432285
59ebb43e137b416f91f252413ffd145c
(a) The post-synthesis process of UiO-66-MA. (b) Fluorescence titration of UiO-66-MA with H2S (0-0.625 μM); inset: images of UiO-66-MA under day light (up) and UV light (down, 365 nm) in the presence of 0, 0.04, 0.08, 0.125, 0.165, 0.25, 0.35, and 0.625 μM of H2S for 1–8, respectively. (c) Fluorescence titration of UiO-66-MA/H2S with growing concentration of Cu2+; inset: images of UiO-66-MA/H2S under day light (up) and UV light (365 nm, down) in the presence of 0, 0.02, 0.07, 0.12, 0.17, 0.22, and 0.35 μM of Cu2+ for 0–6, respectively. (d) A possible tandem process in view of the Michael addition, and S-Cu integration was calculated by DFT. Adapted from [48].
PMC9000234
molecules-27-02226-g005.jpg
0.407706
7e93e553317f4436a2f06903d647238c
(a) Diagram of the Ce4+/Tb3+ based Ln-MOF for sensing SO2 and sulfite via the turn-on of luminescence induced by energy transfer (ET) triggered by redox-reaction. (b) The luminescence of Ln-MOF increases with the concentration (0, 0.05, 0.1, 0.2, 0.5, 0.8, 1, 5, 20, 50, 100, 150, 200, and 300 mM) of SO32−; the inset shows the linear relationship of the luminescence intensity of Ce-PA-Tb at 545 nm with the concentration of SO32−. Adapted from [53].
PMC9000234
molecules-27-02226-g006.jpg
0.441475
e356510dc30c4581ab71d07511b81179
(a) The structure of [Zr6O4(OH)4(FA)6]2(cal)3. (b) The luminescence intensity changes of [Zr6O4(OH)4(FA)6]2(cal)3 before and after bubbling of NO2. Adapted from [60].
PMC9000234
molecules-27-02226-g007.jpg
0.440646
0479bca49bfe4c20bb61ad6953d48b25
(a) The structure of 3D (Zn2(bpdc)2(bpee) and the schematic representation of the 2D structure potentially obtained after the NH3 detection. (b) The luminescence intensity changes of (Zn2(bpdc)2(bpee) immersed in aqueous solutions of NH3 with different concentrations. Adapted from [68].
PMC9000234
molecules-27-02226-g008.jpg
0.449024
53c1a2919d4345a9b9fb01f3e3c18d98
Diagram of adsorption of [Pb(OH2)6]2+ on SO3H-UiO-66(Zr) in water. Adapted from [74].
PMC9000234
molecules-27-02226-g009.jpg
0.459385
07ebc6f41fd84502a69eb197ce264193
(a) Synthesis process of BA-Eu-MOF. (b) Schematic diagram of the sensing process of BA-Eu-MOF toward Hg2+ and CH3Hg+ ions based on transmetalation. Adapted from [82].
PMC9000234
molecules-27-02226-g010.jpg
0.403735
28d86b9bb666465e9c7f4a8e22a4d0a2
Structure of [Zn2(tdca)2(bppd)2]·2DMF, UV-vis spectra of [Zn2(tdca)2(bppd)2]·2DMF in acetonitrile suspension upon addition of Cd2+ at room temperature (λex = 330 nm), and photographs of the iodine release process in acetonitrile and hexane. Adapted from [86].
PMC9000234
molecules-27-02226-g011.jpg
0.52516
0a21ec1b463c4a97b28f9a2c4d10df67
(a) Structure of L and Cd-MOF. (b) Fluorescence response of Cd-MOF to different metal ions. Adapted from [94].
PMC9000234
molecules-27-02226-g012.jpg
0.43235
e6d1ddc9ce4b4379b360a67f47b7938f
(a) Synthetic route of the post-synthesis modified PSM-4. (b) Fluorescence spectra of PSM-4 for the detection of Th4+. (c) Fluorescence spectra of PSM-4 for the detection of UO22+. (d) Fluorescence intensity of PSM-4 with the addition of different anions. Adapted from [96].
PMC9000234
molecules-27-02226-g013.jpg
0.404172
f866beba382a4a94ab9d617ccf4eafcf
(a) Structure of TJNU-302. (b) UV photos of TJNU-302 crystals before and after immersion in KReO4 water solution and emission spectra of TJNU-302 in water solutions containing different anions. Adapted from [100].
PMC9000234
molecules-27-02226-g014.jpg
0.432466
810a40de286c44c4a747e43ab71fa558
Quenching efficiencies of the tested antibiotics at different concentrations on the fluorescence of In(III)-MOF at room temperature; inset: the structure of In(III)-MOF. Adapted from [114].
PMC9000234
molecules-27-02226-g015.jpg
0.363742
433780f92f3745708cc1b0e35a21d1d7
(a) Representation of the sensing process of Mn/Fe-MIL(53) MOF nanoenzyme for OPs detection. UV–vis spectrum of nanoenzyme-TMB catalyzed system corresponding to different dosages of methyl parathion (b) and clorpyrifos (c). Adapted from [121].
PMC9000234
molecules-27-02226-g016.jpg
0.43601
ed44ed71913048398c68a798ffa717c7
(a) Structure diagram of the as-prepared EY@DUT-52 sample. (b) Optical pictures of DUT-52 and three EY@DUT-52 samples under sunlight (the solvent in the vial is ethanol). (c) Fluorescent emission spectra of E@D1/ethanol suspensions with different concentrations of nitenpyram. (d) Fluorescent emission spectra of E@D3/ethanol suspensions with different concentrations of nitenpyram. Adapted from [127].
PMC9000234
molecules-27-02226-g017.jpg
0.455589
99e4d5766bca445a8f542b8c378c81e8
Quenching efficiencies of tested nitro-explosives at different concentrations on the fluorescence of [Cd(NDC)0.5(PCA)]-Gx at room temperature; inset: the structure of [Cd(NDC)0.5(PCA)]-Gx. Adapted from [133].
PMC9000234
molecules-27-02226-g018.jpg
0.421147
bb717c2d16d34d21a37b0a226fe9cee1
(a) Structure of [Mn6(L1)2(H2O)5]n. (b) Photographs of different solvent-loaded [Mn6(L1)2(H2O)5]n. (c) Perspective view of the hydrogen-bonding interaction between the acetophenone molecule (blue color) and host framework. Adapted from [139].
PMC9000234
molecules-27-02226-g019.jpg
0.395896
f09a6f63d64745ac8be6aef738735c78
(a) Schematic representation of the synthesis of Zr-BTDB-fcu-MOF (1). (b) PL spectra for (1) (red) and linker (black). (c) Fluorescence intensity of (1) aqueous suspension upon addition of 3 μM of of MA (c), aniline (d) (λmax = 515 nm). (e) Molecular structures of H2BTDB, H2BTDB with two and four MA molecules. Red arrows represent the dihedral angles between benzene and thiadiazole-based units, and red dashed lines indicate the hydrogen-bond lengths (dH) formed by H of MA and N of thiadiazole Adapted from [146].
PMC9000234
molecules-27-02226-g020.jpg
0.473004
3a5e048f427d484bb162733f548e0047
PRISMA flow diagram representing the results of the search strategy
PMC9001209
590_2021_3019_Fig1_HTML.jpg
0.454392
c743edf8d87344a7abdb835929dfa9dc
Adopted synthetic route together with the amounts used for each reagent
PMC9001578
11356_2021_15515_Fig1_HTML.jpg
0.443479
eaab7bad25e74311ab96afbeca91f276
Exposure site at Monza Cathedral together with a schematic representation of the exposed samples
PMC9001578
11356_2021_15515_Fig2_HTML.jpg
0.411815
6ae3e233672f48c5913b4bd6bc857ba0
1H-NMR (proton nuclear magnetic resonance) spectra of all the synthesized MMA_F7 polymers. * = unidentified peaks
PMC9001578
11356_2021_15515_Fig3_HTML.jpg
0.400081
c6cee898969f44f4bc1541e49da7ad25
Topographic profile of a untreated C and b MMA_F7(1.0)@C. The roughness value (<R>) is reported as average value with the relative standard deviation. The coating thickness (highlighted by red arrow in b) was evaluated by scratching the film with a metallic pin. Scanning electron microscopy (SEM) images of c untreated marble, MMA_F7(1.0)@C, d before and e after the outdoor exposure together with the corresponding energy-dispersive X-ray spectroscopy (EDX) spectra
PMC9001578
11356_2021_15515_Fig4_HTML.jpg
0.406675
be8bda5ac0d24f828eeeeb00e2660f92
a Water absorption by capillarity and b water vapor transpirability by both untreated and MMA_F7(1.0)-treated Candoglia marbles, before and after outdoor exposure
PMC9001578
11356_2021_15515_Fig5_HTML.jpg
0.401327
bc5a1ea7b48e457ea2ed911ba37a0cfb
(Top) SEM images of PCL membranes obtained from electrospinning (A) 7.1, (B) 10.2 and (C) 11.7 wt% solutions. (D) Pore size distribution for the PCL membranes as determined by capillary flow porometer. (E) Distribution of fiber diameters for 7.1 (---), 10.2 (—) and 11.7 (···) wt% PCL membranes. (F) Relationship of fiber diameter and pore size to concentration of polymer solution in electrospinning of PCL.
PMC9001631
41598_2022_10042_Fig1_HTML.jpg
0.502902
e582b1d697d94807a0396264df1b4381
Time course diffusion of bull sperm cells using solution electrospun PCL membranes with different thickness (A) 20 µm (B) 40 µm and (C) 60 µm and (D) 80 µm. (E) is the graph that illustrates the relationship between calculated time required to achieve maximum diffusion (processing time) in dependence to membrane thickness (with a high R2 of 0.983 from the linear regression of experimental data).
PMC9001631
41598_2022_10042_Fig2_HTML.jpg
0.432545
d711cd4035be488dbb176d9073262d9f
Motile sperm cell population isolated from unfiltered and solution electrospun PCL membranes with different thickness (N = 6). Asterisk above show groups with no significant differences in means as evaluated using one way ANOVA and Tukey’s multiple comparison test.
PMC9001631
41598_2022_10042_Fig3_HTML.jpg
0.423042
13d1d00cf99445a6b4178df43822d8e6
Designed 3D printed modules and their intended vessels. The 3D printed module for the discontinuous assay is utilized in a microcentrifuge tube, while cuvette is used for the continuous assay. Process diagrams are show per respective assays.
PMC9001631
41598_2022_10042_Fig4_HTML.jpg
0.396744
39e5ab792a2f4018ae86fe7e00b6bc1b
Characterization of sorghum transformation.a–c Gene delivery capacity of ternary transformation system. Gene delivery was represented by the number of transgenic cells exhibiting YFP fluorescence on the surface of sorghum embryos. d–f Tissue culture response represented by callus proliferation after two weeks of Agrobacterium infection on the multi-purpose medium without selection. g–i YFP images of early-stage somatic embryo formation (indicated by the arrows) induced by morphogenic gene expression on the surface of immature scutella. j–l Shoot regeneration after four-week of maturation. m–o The pleiotropic impacts of morphogenic gene expression on single-copy QEs. a, d, g, j and m Tx430. b, e, h, k, and n Tx623. c, f, i, l and o Tx2752.
PMC9001672
42003_2022_3308_Fig1_HTML.jpg
0.410535
98750f795d34468582d687202ac2b7a1
Somatic embryo formation and regeneration mediated by morphogenic gene excision-induced selection-activation system.Bright field and fluorescence images of early-stage somatic embryo formation (couple of examples indicated by the arrows) on the surface of immature scutella in Tx430 (a, b), Macia (c, d), Malisor 84-7 (e, f), Tegemeo (g, h). a, c, e, and g Bright field images. b, d, f, and h Fluorescence images. i Tx430 shoot regeneration after four-week maturation.
PMC9001672
42003_2022_3308_Fig2_HTML.jpg
0.424919
1b2ab84819db439e84f60cae97de0c36
Somatic embryo formation and regeneration mediated by altruistic transformation system.Bright field images of early-stage somatic embryo formation (couple of examples indicated by the arrows) on the surface of immature scutella induced by altruistic transformation in Tx430 (a) and Macia (b). c Macia shoot regeneration after four-week maturation following by one week in dim light.
PMC9001672
42003_2022_3308_Fig3_HTML.jpg
0.426177
f58a4349262a49f98812dde389b89381
Gene expression profiling of primary uveal melanomas (UMs) based on metastatic status.A Volcano plots showing differentially expression genes between metastatic tumors and non-metastatic tumors in TCGA UM cohort. B Heatmap showing the 89 most highly downregulated genes located on chromosome 3. Blue: decreased gene expression, red: increased gene expression. C Molecular landscape in 80 primary UMs of TCGA cohort. Mutation or expression status for six genes, the metastatic status of tumor sample, and chromosome 3 copy number alterations are indicated. D SLC25A38 was highly expressed in tumors with disomy 3 in TCGA UM cohort.
PMC9001737
41419_2022_4718_Fig1_HTML.jpg
0.481942
204e1d3deaf743fe96b9b71db00946c2
Model accuracy and survival analyses in UM.A–F Receiver Operator Curves based on different feature sets in TCGA cohort (A–C) and GSE22138 cohort (D–F). The predictive accuracy of SLC25A38 expression for risk of metastasis was superior to that of other biomarkers. The P-value in light blue in B indicates Binary SLC25A38 vs BAP1 Mut, and the P-value in dark blue in B indicates Binary SLC25A38 vs SF3B1 Mut. The P-value in light blue in C indicates Binary SLC25A38 vs Binary BAP1, and the P-value in dark blue in C indicates Binary SLC25A38 vs GEP Class. G–I Survival curves based on SLC25A38 expression level. Low expression of SLC25A38 predicted poor clinical outcomes not only in all patients but also in patients without metastasis or patients with disomy 3 in TCGA UM cohort. AUC Area Under Curve.
PMC9001737
41419_2022_4718_Fig2_HTML.jpg
0.389631
c6137cee572c400c9dcc2dc9eb9c708c
SLC25A38 is the upstream of several metastasis-related pathways.A Pie chart illustrating differentially expression genes between SLC25A38-low tumors and SLC25A38-high tumors in TCGA UM RNA-seq dataset. B GSEA showing that SLC25A38 expression was negatively correlated with proliferative and metastatic gene signatures in the TCGA UM dataset. C Heatmap showing differentially expression genes in UM cells with SLC25A38 knock-out relative to control cells. D The most significant differentially GO items upon SLC25A38 knock-out. E Differentially expression genes in the SLC25A38-silenced UM cells in the indicated signaling pathways analyzed by qRT-PCR. F These series of networks demonstrated the changes in SLC25A38 and its neighboring genes (involving in cell proliferation, cell adhesion, cell motility, and angiogenesis) in terms of expression during metastasis in TCGA UM specimens and GSE22138 tumors.
PMC9001737
41419_2022_4718_Fig3_HTML.jpg
0.435312
5bc9ca74ce5349e4adf3aac196ca7592
Silencing SLC25A38 promotes the malignant properties of UM cells in vitro and in vivo.A UM cells with SLC25A38 knock-out were successfully constructed. B, C Wound healing assay (B) and transwell invasion assay (C) showing that SLC25A38 knock-out could enhance the migration and invasion ability of UM cells. D Vascular ring formation analyses indicate the increasing ability of angiogenesis upon SLC25A38 knock-out. The number of tubes was counted and normalized tube length was calculated, scale bar 100 μm. E PET imaging and H&E staining showed that mice inoculated with SLC25A38 knock-out UM cells had more lung metastases and live metastases compared to that injected with control UM cells, scale bar 100 μm.
PMC9001737
41419_2022_4718_Fig4_HTML.jpg
0.424344
0c09c0e83d57474a86e367edf1f3f27f
Downregulated SLC25A38 boosts angiogenesis.A A proposed model underlying the role of SLC25A38 in UM angiogenesis. Through the promotion of the coactivator (CBP/p300) of HIF upon SLC25A38 knock-out, its target genes including pro-angiogenic factors are overexpressed and thus promote angiogenesis. GSEA of TCGA cohort and PCR validation of UM cells verified this proposal. B Correlation between SLC25A38 and CBP or CD31 protein expression in UM specimens. Tumor sections from 28 UM specimens were immunofluorescence stained with anti-SLC25A38, anti-CBP, and anti-CD31 antibodies. Left: representative images. Right: the correlation between SLC25A38 and CBP or CD31 protein expression was calculated by Pearson correlation coefficient. C Correlation between SLC25A38, CBP, FGF8, FGF12, TGFα, and CD31 expression in TCGA UM RNA-seq dataset. The Pearson correlation coefficient and P-value are indicated.
PMC9001737
41419_2022_4718_Fig5_HTML.jpg
0.471873
e7c2a4dbe45645119cbbb2ed31d8cb55
Simple illustration of factors; sleep quality; care burden and social isolation affecting informal caregivers of person with dementia.
PMC9002108
fpubh-10-797176-g0001.jpg
0.387158
cc6368c71f0d4de3a5eac06cec2029ee
Flowchart of the screening process of the literature (*, added via Snowball-method).
PMC9002108
fpubh-10-797176-g0002.jpg
0.380227
63e0c300f49243f4a35030fe92928042
Chemical fractionation general procedure.
PMC9002365
polymers-14-01333-g001.jpg
0.473004
5326451f1bc043fa9e9b523ab7078316
Interaction of reaction temperature, time and pH on the total removal rate of AAEMs. ((a), interaction between temperature and time on the total removal rate of AAEMs. (b), interaction between temperature and pH on the total removal rate of AAEMs. (c), interaction between pH and time on the total removal rate of AAEMs. (d), fitting relationship between the predicted value and the experiment value).
PMC9002365
polymers-14-01333-g002.jpg
0.475818
75720e167e6b4ea49d389fbc7de80b69
TG (a) and DTG (b) of eucalyptus with or without acid leaching and hydrothermal pretreatment.
PMC9002365
polymers-14-01333-g003.jpg
0.395704
c5a844577c524889bc5fabbda4926612
Composition and distribution of pyrolytic bio-oil from different eucalyptus samples (a–c), components of pyrolytic bio-oil from raw material, acid leaching eucalyptus and hydrothermal pretreatment eucalyptus. (d–f), distribution of pyrolytic bio-oil from raw material, acid leaching eucalyptus and hydrothermal pretreatment eucalyptus.
PMC9002365
polymers-14-01333-g004.jpg
0.422068
a882507283e14c728c12046b550d3d56
Forms of main metal elements in eucalyptus before and after hydrothermal pretreatment and acid leaching ((a), contents of K, Ca and Mg in different eucalyptus samples. (b), contents of K in different forms in eucalyptus after acid pickling and hydrothermal pretreatment. (c), contents of Ca in different forms in eucalyptus after acid pickling and hydrothermal pretreatment. (d), contents of Mg in different forms in eucalyptus after acid pickling and hydrothermal pretreatment).
PMC9002365
polymers-14-01333-g005.jpg
0.416122
dd67036345ff4a52a4fe80cba3e52370
(a) The Nucleo L476RG + IKS01A1, (b) the ST-Qvar board, and (c) the Bluetooth module.
PMC9002930
sensors-22-02566-g001.jpg
0.433865
66e1f7878f424ec3b675524551453088
Pre-amplifier circuit.
PMC9002930
sensors-22-02566-g002.jpg
0.480082
7b8f451db42246129361958b0c8ef66c
(a) The detailed high−pass filter; (b) gain vs. frequency.
PMC9002930
sensors-22-02566-g003.jpg
0.457163
7d659db5168a4d91af07baba4ac768bb
Simulations of the differential stage performed on LT Spice: (a) Differential gain; (b) common−mode gain.
PMC9002930
sensors-22-02566-g004.jpg
0.401464
bb934a95bf4746ff807051a33c0b374e
Noise analysis of the proposed pre-amp stage with Zep = ∞.
PMC9002930
sensors-22-02566-g005.jpg
0.465812
df432eb4241a4f399ce738d407911698
Electrode model according to IEC 60601–2–47 standard.
PMC9002930
sensors-22-02566-g006.jpg
0.433749
361c0149aaa34fdc8a86ee193facba98
Noise analysis of the proposed pre-amp stage with Zep = 0.
PMC9002930
sensors-22-02566-g007.jpg
0.431707
088f3d30dd0a4a09a73953f3db6f71a4
Monte Carlo simulations on pre−amplifier stage with 1% passive tolerance.
PMC9002930
sensors-22-02566-g008.jpg
0.442491
0ad40e4de972411d920f33198de0c063
Matlab application interface for data acquisition.
PMC9002930
sensors-22-02566-g009.jpg
0.489552
92a3d87caf034ee78a62d8fd5aeffd5f
Block diagram of the proposed firmware. The overall system clock is 3 MHz and the interrupt clock is 240 Hz.
PMC9002930
sensors-22-02566-g010.jpg
0.446947
8b25fd0dd8ac4acd9f184c415db7b961
(a) Electrodes positioning; (b) typical ECG raw trace.
PMC9002930
sensors-22-02566-g011.jpg
0.471643
f9a1fed6714c4259b726f7f58a8f69f8
(a) Filtered ST−Qvar ECG: single oscillation; (b) Typical ECG, single oscillation.
PMC9002930
sensors-22-02566-g012.jpg
0.468721
369d32a26c9e41758ea442fc71ea6029
ECG trace acquired simultaneously from Qvar and MicroMed systems, from different derivations. Dashed lines show the R−peaks correspondence between the two tests.
PMC9002930
sensors-22-02566-g013.jpg
0.434419
941c42758a124b37a4e4df122bd2f446
Electrodes positioning for EEG–EOG test for MicroMed (left, orange electrodes) and ST-Qvar (right, blue electrodes).
PMC9002930
sensors-22-02566-g014.jpg
0.406035
978ae9dc9d4c4726ada7b00d3400d9af
MicroMed vs. ST−Qvar raw traces from frontal single-channel EEG acquisition.
PMC9002930
sensors-22-02566-g015.jpg
0.45057
12f10c86d2a74e2fac1eb09ba2b4736e
Cross-correlation between ST−Qvar and MicroMed acquisitions. MicroMed signal autocorrelation.
PMC9002930
sensors-22-02566-g016.jpg
0.43816
5aa753583a7b4a6097679643373862bc
EOG trace recorded from ST−Qvar and the gold standard during clockwise eye movements. A single window of the eye movements is highlighted with a rectangle.
PMC9002930
sensors-22-02566-g017.jpg
0.404617
d9a0f971a98143cba22ffe7af101fdbb
EOG trace recorded from ST−Qvar and the gold standard during eye blinking test. Each peak represents an eye blink.
PMC9002930
sensors-22-02566-g018.jpg
0.517529
5be969f4cef442379b00201623d13ef3
Changes in (A) mechanism and (B) diagnosis leading to IF over the study period, presented on a mosaic plot where the size of the squares represents the proportion of all included patients. IF, intestinal failure; SBS, Short bowel syndrome.
PMC9003376
nutrients-14-01449-g001.jpg
0.493531
39352d2c246d4eb9bb2e67ce2a5b8fd0
Cumulative incidence function of achieving nutritional autonomy.
PMC9003376
nutrients-14-01449-g002.jpg
0.47625
fe7c39f22c1840c8941152f610fa1903
Relationship between mechanism of IF at HPN initiation, subsequent surgery and achieving nutritional autonomy. HPN, Home Parenteral Nutrition.
PMC9003376
nutrients-14-01449-g003.jpg
0.421173
c28dab9d95bf43c0869935f3aff48587
An UpSet plot to illustrate the distribution of reasons for not achieving nutritional autonomy in patients predicted to do so. The x-axis shows possible reason combinations. Each filled-in node shows an identified reason, with the vertical lines linking each reason within the combination. The frequency of each reason combination is shown along the y-axis, correlating to the number of patients with identified reasons as shown by the filled-in nodes. Set size represents the overall frequency of each reason.
PMC9003376
nutrients-14-01449-g004.jpg
0.375574
b977fe72946543f1978a6a592adb44ff
Percentage frequency distributions that specify the percentage of observations that exist for each relevance (solid colors) and frequency (dashed colors) levels defined hereunder for each SSE advanced to round 2. The 75% agreement threshold line also confirms the relevance of the SSE included in the final inventory. *ER = external rotation
PMC9003989
40945_2022_132_Fig1_HTML.jpg
0.429399
cf6ae62c71e348e59d1e8de5411f0e0f
Distribución de la población de acuerdo con el género y el grupo etario.
PMC9005167
6936AX212-ACM-92-174-g001.jpg
0.423589
0829f06c71314588b1b371520e356933
Mapa del Paraguay con el porcentaje de pacientes derivados de los departamentos y la ubicación geográfica de los hospitales participantes.*Instituto Nacional de Cardiología, Instituto de Previsión Social.**Hospital de Cínicas, Hospital Nacional de Itauguá.
PMC9005167
6936AX212-ACM-92-174-g002.jpg
0.507694
7b12efbe2c3644ec9eee1a4db862285c
Age standardized death rate due to stroke at the county level in the United States in 2014.
PMC9005481
ccdcw-4-13-280-1.jpg
0.395394
b30e2b5237ed45d8beece32384ab5132
Global distribution of country level mortality due to stroke in 2040.
PMC9005481
ccdcw-4-13-280-2.jpg
0.568665
c45dc955edd34f10bc3d62a08bb285d3
The developmental outcome and treatment effects to oxcarbazepine of epilepsy patients with SCN2A variants. A total of 59 SCN2A variants was included. The shapes of variation sites represent different variation types (circle = missense variation; triangle = nonsense variation; square = frameshift variation; rhombu = in-frame deletion variation). The colors of the shape represent different developmental outcome (red = developmental delay; green = normal development; orange = both patients with normal development and developmental delay were observed). The colors of the variants represent the treatment effects of oxcarbazepine (green = seizure freedom; blue = seizure reduction; orange = no effect; red = seizure worsening; black = never used). The variation underlined indicates fever-sensitivity. Pentagons indicate one patient with the variants died.
PMC9005871
fnmol-15-809951-g001.jpg
0.440334
8d598b60ebc9461da9c1ab2c34abd6e1
Abnormal brain MRI of 3 patients with SCN2A variants. Brain MRI of Patient 14 at the age of 22 months. (a,b). Axial and coronal images (T1WI) showing agenesis of corpus callosum, delayed white matter myelination, dysplasia of frontotemporal lobes and enlargement of lateral ventricles. Brain MRI of Patient 29 at the age of 7 months. (c,f) Sagittal images (T1WI) showing enlargement of lateral ventricles, agenesis of corpus callosum and dysplasia of frontotemporal lobes. Brain MRI of Patient 39 at the age of 12 months. (d,e) Axial and coronal images (T2WI) showing agenesis of corpus callosum, delayed white matter myelination and enlargement of lateral ventricles. The arrow points to the lesion.
PMC9005871
fnmol-15-809951-g002.jpg
0.393628
b31312bec6654d518c017e1ea0b7db28
Distribution of 72 Chinese epilepsy patients with SCN2A variants according to phenotypes [n (%)].
PMC9005871
fnmol-15-809951-g003.jpg
0.413795
fc5ee4d7bfb1422b98b7ea8d667db740
Treatment effects of anti-seizure medication (ASM) therapies in epilepsy patients with SCN2A variants. Number of treated patients and their seizure outcome (green = seizure freedom; blue = seizure reduction; orange = no effect; red = seizure worsening) that have been treated with different ASM therapies. Only effects of ASM therapies that at least one patient achieved seizure free are shown. OXC, oxcarbazepine; CBZ, carbamazepine; LTG, lamotrigine; VPA, valproate; TPM, topiramate; LEV, levetiracetam; PB, phenobarbital; VGB, vigabatrin; PRP, perampanel.
PMC9005871
fnmol-15-809951-g004.jpg
0.470518
de8af881802a4f35b8b76264383a3819
Diagrams of the three a priori candidate structural equation models depicting different phenotypic covariance structures between the pace-of-life and thermal performance: (a) ‘coupled pace-of-life syndrome–thermal performance’ model, (b) ‘independent pace-of-life syndrome and thermal performance’ model and (c) ‘overarching thermal pace-of-life syndrome' (c). Observed variables are given in rectangles, unmeasured latent variables in ellipses. See main text for details.
PMC9006028
rspb20212414f01.jpg
0.456805
6f483015aab84fe5b6db785884fdcfec
Effects of latitude and rearing temperature on the trait means (±1 s.e.) for (a) growth rate, (b) activity, (c) boldness and (d) metabolic rate. (Online version in colour.)
PMC9006028
rspb20212414f02.jpg
0.418618
e6fcb1d4278140ad887757c6ecd7ba5c
Thermal performance curves of (a,b) activity, (c,d) boldness, (e,f) metabolic rate and (g,h) swimming speed, as a function of rearing temperatures and latitudes. Solid (blue) curves are for high-latitude larvae; dashed (red) curves are for low-latitude larvae. Bands around curves represent 95% CIs. (Online version in colour.)
PMC9006028
rspb20212414f03.jpg
0.452009
0f058c02987944ea92ba4c970bca4be3
SEM diagram depicting the supported ‘coupled pace-of-life syndrome–thermal performance’ model. Numbers associated with single-headed arrows are standardized path coefficients. Double-headed arrows indicate correlations. All loadings were significant (p < 0.05) with the exception of growth rate (dotted arrow, p = 0.068). Red arrows indicate negative path coefficients; black arrows indicate positive path coefficients. (Online version in colour.)
PMC9006028
rspb20212414f04.jpg
0.416507
9dca1452243a4bd09c6159e9b373a84c
Study procedures and timeline. Items in bold denote data collection.
PMC9006806
bmjopen-2021-050951f01.jpg
0.501532
d1488cc49ab74d7fac65ac52dc848cfc
Flow chart showing the identification and enrolment of participants into the study. AF, atrial fibrillation; ASCVD, atherosclerotic cardiovascular disease; DLCN, Dutch Lipid Clinic Network; FH, familial hypercholesterolaemia; LDL-C, low-density lipoprotein cholesterol; LLT, lipid-lowering treatment.
PMC9006835
bmjopen-2021-050857f01.jpg
0.540827
a11f912196b84c958d6b72aa76160913
Flow diagram showing screening and enrolment of study population. *Age less than 18 years. †Age 18 years or more. Note: RT-PCR = reverse transcription polymerase chain reaction.
PMC9007444
cmajo.20220026f1.jpg
0.404481
5cba339eb38a4710ad7b4e193d55bbfa
Risk factors for household transmission. Note: CI = confidence interval, HC = household contact, I = index participant, OR = odds ratio.
PMC9007444
cmajo.20220026f2.jpg
0.449118
8eb4365401c14f26a395f9a44276e094
Electronic spectra of C2n+–He observed by monitoring the wavelength dependent loss of the helium atom. The data are believed to be the lowest energy doublet transitions of monocyclic cation ring structures.
PMC9007455
jp2c00650_0001.jpg
0.445292
3d5f2c2b93fd4876bb55c6c9f87f7ad0
Wavelengths of origin band maxima as a function the number of carbon atoms (black). A linear fit to these wavelengths is the red line.
PMC9007455
jp2c00650_0002.jpg
0.461564
5b6458d3446144c8ba00f32d5318244a
Electronic spectra of monocyclic cations plotted as a function of energy Δν̅ from the origin band. The data are separated into 4n + 2 (left) and 4n (right) series.
PMC9007455
jp2c00650_0003.jpg
0.54476
e6d9a48536554d7283766b9c632e76f2
Lowest energy portion of the C28+–He spectrum. The profile suggests more than one unresolved component and has been fit with three Lorentzian functions (red); the cumulative result is the dotted line.
PMC9007455
jp2c00650_0004.jpg
0.474098
a882425621e9431791a12b0e1ff59d50
Electronic spectra of monocyclic cations tagged with one (black) and two (red) helium atoms. The data are separated into 4n + 2 (left) and 4n (right) series.
PMC9007455
jp2c00650_0005.jpg
0.414214
05ae2929d33d4453b1732600c3260413
(A) Distribution of Cq in the URT and LRT samples. (B, C) Differences and correlation plots for Cq values in 28 paired URT and LRT samples. The statistic Spearman's correlation coefficient and linear regression R2 value are also reported.
PMC9008095
gr1_lrg.jpg
0.410332
4f79eed2cc9f4330b8d9b2b59995a5e0
Comparison of number of haplotypes and minority variants in upper vs lower respiratory tract samples. (A) Correlation between the number of minority variants and viral load expressed in cycle of quantification (Cq). (B) Correlation between the number of haplotypes and viral load expressed in Cq.
PMC9008095
gr2_lrg.jpg
0.411639
972f93b8dcb64e029df23f6e1269d7a1
Distribution of the number of (A) minority variants, (B) haplotypes and (C) dN/dS ratio in the URT and LRT samples. Values are represented as a boxplot with all points inscribed. (D) Distribution of the weighted incidence of synonymous, non-synonymous, and insertions and deletions (Indel) in the URT and the LRT samples. (E) Distribution of the weighted incidence of frameshifting insertions and deletions in the URT and the LRT. Values are weighted by dividing them by the total number of minority variants in the sample.
PMC9008095
gr3_lrg.jpg
0.376138
682523666f874283a44685119f6dc0fa
(A) Distribution of the weighted incidence of minority variants in the S gene subdomains (NTD: N-Terminal Domain; RBD: Receptor-Binding Domain; SD1: Structural Domain 1; SD2: Structural Domain 2; FP: Fusion Peptide; HR1: Heptad Repeat 1; HR2: Heptad Repeat 2; TM: TransMembrane domain) in the URT and LRT samples. (B) Distribution of the weighted incidence of minority variants in the two S gene subunits in the URT and the LRT (S1: Subunit 1; S2: Subunit 2). (C) Distribution in the URT and in the LRT of the weighted incidence of minority variants, classified by mutation patterns. Values are weighted by dividing them by the total number of minority variants in the sample.
PMC9008095
gr4_lrg.jpg
0.461446
36f709d3fc714a4e8381ac70474bf3ad
Graphical distribution of changes along S protein gene. (A) Number of samples containing minority variants in each position. Two separate histograms are used for URT and LRT samples, which are indicated upside down for image clarity. (B) Correlation of the presence of minority variants with URT and LRT in each position of the gene. Bar height represents the log10 (p-value) of the Fisher exact test. In the middle, a scheme of the gene subdomains and subunits is used as separator. NTD: N-Terminal Domain; RBD: Receptor-Binding Domain; SD1: Structural Domain 1; SD2: Structural Domain 2; FP: Fusion Peptide; HR1: Heptad Repeat 1; HR2: Heptad Repeat 2; TM: TransMembrane domain; S1: Subunit 1; S2: Subunit 2.
PMC9008095
gr5_lrg.jpg
0.453412
fdf554fc782843acb7fc7786da72e93e
Replication analysis in wild-type (WT) and pykA null cells growing exponentially in MC medium. A Schematic representation of CCM. Glyco: Glycolysis; Gluco: gluconeogenesis; PPP: pentose phosphate pathway; TCA: tricarboxylic acid cycle; O: overflow pathway; G3P: glyceraldehyde 3-phosphate; PEP: phosphoenolpyruvate; Gray arrows: carbon flux; Thick bars: CCM area genetically linked to replication genes [42, 44]. B Growth rate and pyruvate kinase activity. Cells were grown exponentially for more than 20 generations using successive dilutions. Growth was assessed by spectrophotometry (OD650nm, a typical experiment is shown) and pyruvate kinase activity was determined in crude extracts (mean from six independent experiments). C Ori/ter ratio: Ori/ter ratios were determined by qPCR using as template total DNA extracted from growing cells. Numbers in brackets stand for the number of independent measurements. The Mann-Whitney U test showed that the ratios in wild-type and ΔpykA cells are significantly different at p < .05 (Table S1). D DNA elongation: Parameters of DNA elongation were determined using a marker frequency analysis by qPCR. The nearly monotonous decrease of marker frequencies from the origin to the terminus showed that there is no pause site along the chromosome (a typical experiment is shown). Numbers in brackets refer to C period (mean and SD from at least 3 experiments) and mean fork speed. E Number of origins per cell: To determine the number of origins/cell, chloramphenicol was added to exponentially growing cells. The drug inhibits replication initiation and cell division but allows completion of ongoing rounds of replication. After 4 h of drug treatment (runout experiment), cells were analyzed by flow cytometry after DNA staining. Panels: typical runout DNA histograms with the % of cells containing 4 and 8 chromosomes. Numbers in brackets stand for the number of independent reiterations of the experiment. The number of origins/cell (mean and SD) is given below the strain name. See “Methods” for details
PMC9009071
12915_2022_1278_Fig1_HTML.jpg
0.381983
612b50fd92df4b339b98912f53a154ae
Ori/ter ratios and PykA catalytic activities in Cat and PEPut mutants. Ori/ter ratios were grouped (color code) according to the Mann-Whitney U test at a significance of p < 0.01 (see Table S1 for details). Numbers in brackets refer to the number of independent iterations. The horizontal gray bars highlight the wild-type ratio area. Pyruvate kinase activities (bolded numbers expressed in % of wild-type activity) in crude extracts were determined from at least three independent experiments (SD/means < 10%). A Cat mutant analysis. B PEPut mutant analysis. See Fig. 1 for details
PMC9009071
12915_2022_1278_Fig2_HTML.jpg
0.472934
e68ba84e37144e1f842b66c35d6966ed
Metabolome analysis of wild-type and pykA mutants in MC. A, B PCA scores plots (first two components) in the positive (A) and negative (B) ionization mode. Ellipses are the 95% confidence regions. Indicated are the relative activities of PykA. Data correspond to 4 independent extractions (liquid cultures). C Comparison of PykA substrate and product contents in pykAT>D and wild-type (WT) cells. D Comparison of the contents of compounds annotated as pseudaminic acid (Pse) and CMP-pseudaminic acid (CMP-Pse) in pykAT>D and wild-type cells. Data in C and D correspond to 3 independent extractions (solid cultures).*, p > 0.05 ; **, p < 0.01 (Welch’s T-test). Values in bold panels C and D indicate the fold change for each metabolite (wild-type versus pykAT>D)
PMC9009071
12915_2022_1278_Fig3_HTML.jpg
0.452466
b8b21f07f1534241af6a0db2e18018bf
Primarily replication defect in pykA mutants. Ori/ter ratios were measured in cells replicating the chromosome from a plasmid replicon instead of the natural chromosomal replication origin. See Fig. 1 for details
PMC9009071
12915_2022_1278_Fig4_HTML.jpg
0.490897
f9ca490884de409da6caac1d76f4ac6f
Cell cycle and replication pattern of wild-type, pykAGD245/6AA and pykAT>D cells. Vertical red lines stand for three successive generations: grandmother: 0τ to 1τ; mother: 1τ to 2τ; daughter: 2τ to 3τ; 28.4 min each). The C and D periods of cell cycles ending at time 1τ, 2τ, and 3τ are indicated as lines and boxes colored in black, blue and yellow, respectively. The cell cycle in green will end at time 4τ (not shown). Gray areas refer to replication periods spanning every cell cycle and numbers correspond to the proportion of cells in each period. Replication patterns typifying each period are given above the gray areas using the cell cycle color code. Ai: age of replication initiation; At: age of replication termination. Activity stand for pyruvate kinase activity
PMC9009071
12915_2022_1278_Fig5_HTML.jpg