Journal: Scientific Reports

Article Title: Characterization of collagen response to bone fracture healing using polarization-SHG

doi: 10.1038/s41598-022-21876-z

Figure Lengend Snippet: PA maps and corresponding PA histograms for ( a , b ) tendon, ( c , d ) cortical bone (Zone A), ( e , f ) articular cartilage (Zone B) of healthy bone control sample, and ( g , h ) bone fracture repair at 2 weeks, and ( i , j ) bone fracture repair at 4 weeks. ( k ) Averaged PA values for tendon, articular cartilage (Zone B), cortical bone (Zone A), and fracture repair at 2 weeks, and fracture repair at 4 weeks. Error bars represent standard error of mean. Image size is 50 × 50 μm 2 . The tendon and Zone A (COL I) have lower pitch angle as compared to Zone B (COL II), as observed in the colormaps ( a , c , e ). Similar decrease in the pitch angle can be observed for the colormap of 4 weeks ( i ) rich in collagen type I as compared to 2 weeks ( g ). The mean values of the healing tissue follow similar trend as that of the control tissue, despite the healing tissues not being significantly different at p < 0.05. All the image maps, histograms, and bar graphs were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Article Snippet: All the image maps were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Techniques: Generated

Journal: Scientific Reports

Article Title: Characterization of collagen response to bone fracture healing using polarization-SHG

doi: 10.1038/s41598-022-21876-z

Figure Lengend Snippet: SHG-CD maps and corresponding SHG-CD histograms for ( a , b ) tendon, ( c , d ) cortical bone (Zone A), ( e , f ) articular cartilage (Zone B) of healthy bone control sample, ( g , h ) bone fracture repair at 2 weeks, and ( i , j ) bone fracture repair at 4 weeks. ( k ) Averaged SHG-CD values for tendon, articular cartilage (Zone B), cortical bone (Zone A), fracture repair at 2 weeks, and fracture repair at 4 weeks. Error bars represent standard error of mean. The image size is 50 × 50 μm 2 . The tendon and Zone A (COL I) have lower SHG-CD value as compared to Zone B (COL II), as observed in the colormaps ( a , c , e ). Similar decrease in the SHG-CD value can be observed for the colormap of 4 weeks ( i ) rich in collagen type I as compared to 2 weeks ( g ). The healing tissues are significantly different at p < 0.05. All the image maps, histograms, and bar graphs were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Article Snippet: All the image maps were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Techniques: Generated

Journal: Scientific Reports

Article Title: Characterization of collagen response to bone fracture healing using polarization-SHG

doi: 10.1038/s41598-022-21876-z

Figure Lengend Snippet: AP maps and corresponding AP histograms for ( a , b ) bone fracture repair at 2 weeks and ( c , d ) bone fracture repair at 4 weeks. ( e ) Averaged AP values for tendon, articular cartilage (Zone B), cortical bone (Zone A), fracture repair at 2 weeks, and fracture repair at 4 weeks. Error bars represent standard error of mean. The image size is 50 × 50 μm 2 . The bar graph corresponding to the collagen II rich healing tissue at 2 weeks and collagen I rich healing tissue at 4 weeks exhibits a gradual reduction of collagen II along with the simultaneous increase of collagen I. The healing tissues are significantly different at p < 0.05. All the image maps, histograms, and bar graphs were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Article Snippet: All the image maps were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Techniques: Generated

Journal: Scientific Reports

Article Title: Characterization of collagen response to bone fracture healing using polarization-SHG

doi: 10.1038/s41598-022-21876-z

Figure Lengend Snippet: ( a ) SHG intensity, ( b ) PA, (c) SHG-CD, and ( d ) AP image maps at increasing depth of articular cartilage. Size of individual stitched images is 50 × 50 μm 2 . Overall depth imaged is 500 µm. All the image maps were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Article Snippet: All the image maps were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Techniques: Generated

Journal: Scientific Reports

Article Title: Characterization of collagen response to bone fracture healing using polarization-SHG

doi: 10.1038/s41598-022-21876-z

Figure Lengend Snippet: Mean bar graphs for ( a ) PA, ( b ) SHG-CD, and ( c ) AP response of collagen at increasing depth of articular cartilage (0–500 μm). Error bars represent standard error of mean. All the bar graphs were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Article Snippet: All the image maps were generated by using MATLAB R2019a (Version: 9.6.0.1072779, https://www.mathworks.com/products/new_products/release2019a.html ).

Techniques: Generated

Journal: Scientific Reports

Article Title: Subsurface ocean flywheel of coupled climate variability in the Barents Sea hotspot of global warming

doi: 10.1038/s41598-019-49965-6

Figure Lengend Snippet: Variability of the winter (DJF) mean sea ice cover in the Barents Sea region during the ESO period. ( a ) Climatological sea ice edge (15% SIC contour, black line) on the background of the climatological mean SST (colours) obtained by averaging data over all ESO winters. The arrows with acronyms depict the West Spitsbergen Current (WSC) and the East Greenland Current (EGC). ( b ) (thin contours and colour shading) Undetrended SIC anomalies regressed onto the principal component time series (PC1 SIC−BS ) of the leading EOF mode of the SIC variability in the Barents Sea region (BS box) and (thick lines) the mean 15% SIC contour in winters 2003/04 (black line) and 2017/18 (red line). The thin blue (resp. red) contours represent negative (resp. positive) anomalies. The contour interval (CI) is 5% per unit PC1 SIC−BS . The zero contour is omitted. Aquamarine (resp. pink) shading marks negative (resp. positive) anomalies statistically significant at the 95% confidence level. ( c ) (solid blue curve) Time series of the sea ice area in the Barents Sea region (SIA BS index) and (dashed blue line) its continuous piecewise linear trend with the breakpoint in winter 2003/04. The blue circle, magenta square and magenta triangle mark the onset time (OT) of the sea ice decline, and the first (CP1) and second (CP2) regime change points, respectively (see Methods). ( d ) (solid curves) Standardised time series of SIA BS (blue curve) and PC1 SIC−BS (red curve), and their OT points (circles) and continuous piecewise linear trends with the breakpoint in winter 2003/04 (dashed lines). In ( a , b ) the maps were generated by MathWorks MATLAB R2014a with M_Map ( http://www.eoas.ubc.ca/rich/map.html ). In ( c , d ) each year on the horizontal axis includes January of the DJF season.

Article Snippet: The maps were generated by MathWorks MATLAB R2014a with M_Map ( http://www.eoas.ubc.ca/rich/map.html ).

Techniques: Generated

Journal: Scientific Reports

Article Title: Subsurface ocean flywheel of coupled climate variability in the Barents Sea hotspot of global warming

doi: 10.1038/s41598-019-49965-6

Figure Lengend Snippet: Relationship between the winter mean sea surface temperature and sea ice concentration in the Barents/Nordic Seas region during the ESO period. ( a ) (thin contours and colour shading) Difference in the mean SST between the last three (LAST3) winters (2015/16–2017/18) and the winters of the EARLY period (1981/82–2003/04), and (thick lines) the 15% contour of the mean wintertime SIC in the LAST3 winters (blue line) and the EARLY period (black line). ( b ) (thin contours and colour shading) Undetrended SST anomalies regressed onto the principal component time series (PC1 SST−BS ) of the leading EOF mode of the SST variability in the Barents Sea region (BS box) in the ESO period and (thick lines) the mean 15% SIC contour in the EARLY period (black line) and the LATE period (winters 2003/04–2017/18, blue line). ( c ) (solid curves) Standardised time series of (red curve) the average SST over the southern Barents Sea region (sBS box in a ) and (blue curve) sea ice area in the Barents Sea region (SIA BS index), and their OT points (circles) and continuous piecewise linear trends with the breakpoint in winter 2003/04 (dashed lines). ( d ) (solid curves) Standardised time series of (red curve) PC1 SST−BS and (blue curve) PC1 SIC−BS , and their OT points (circles) and continuous piecewise linear trends with the breakpoint in winter 2003/04 (dashed lines). In ( a , b ) the thin contour and shading colours are explained in the caption to Fig. . The CI is 0.2 °C and 0.1 °C per unit PC1 SST−BS , respectively. The maps were generated by MathWorks MATLAB R2014a with M_Map ( http://www.eoas.ubc.ca/rich/map.html ). In ( c , d ) each year on the horizontal axis includes January of the DJF season.

Article Snippet: The maps were generated by MathWorks MATLAB R2014a with M_Map ( http://www.eoas.ubc.ca/rich/map.html ).

Techniques: Concentration Assay, Generated

Journal: Scientific Reports

Article Title: Subsurface ocean flywheel of coupled climate variability in the Barents Sea hotspot of global warming

doi: 10.1038/s41598-019-49965-6

Figure Lengend Snippet: Leading modes of the variability in the winter mean Arctic sea ice concentration and surface air temperature during the ESO period. ( a ) Undetrended SIC anomalies regressed onto the principal component time series (PC1 SIC−A40 ) of the leading EOF mode of the SIC variability north of 40°N. ( b ) Undetrended SAT anomalies regressed onto the principal component time series (PC1 SAT−A70 ) of the leading EOF mode of the SAT variability north of 70°N. ( c ) (solid curves) Standardised time series of (blue curve) PC1 SIC−A40 and (red curve) PC1 of the SIC variability in the Barents Sea region (BS box in a ), their OT points (circles)and continuous piecewise linear trends with the breakpoint in winter 2003/04 (dashed lines), and (for PC1 SIC−A40 only) the continuous piecewise linear trend with the breakpoint in winter 1997/98 (dotted line). ( d ) (solid curves) Standardised time series of (blue) PC1 SAT−A70 and (red) the average SAT over the northern Barents Sea region (nBS box in b ), and their OT points (circles) and continuous piecewise linear trends with the breakpoint in winter 2003/04 (dashed lines). In ( a , b ) the thin contour and shading colours are explained in the caption to Fig. . The CI is 5% per unit PC1 SIC−A40 and 0.5 °C per unit PC1 SAT−A70 , respectively. The thick black lines indicate the climatological mean wintertime ice edge (15% SIC contour). The maps were generated by MathWorks MATLAB R2014a with M_Map ( http://www.eoas.ubc.ca/rich/map.html ). In ( c , d ) each year on the horizontal axis includes January of the DJF season.

Article Snippet: The maps were generated by MathWorks MATLAB R2014a with M_Map ( http://www.eoas.ubc.ca/rich/map.html ).

Techniques: Concentration Assay, Northern Blot, Generated

Journal: Scientific Reports

Article Title: Subsurface ocean flywheel of coupled climate variability in the Barents Sea hotspot of global warming

doi: 10.1038/s41598-019-49965-6

Figure Lengend Snippet: Relationship between the summer (JJA) mean subsurface ocean temperature and the following winter sea ice area in the Barents/Nordic Seas region during the ESO period. ( a ) (colours) Climatological mean temperature averaged over the 150–250 m layer ( T 150−250 ) in the EARLY period (summers 1981–2003). ( b ) As in ( a ) but for the LATE period (summers 2004–2017). ( c ) (colours) Difference in the mean of T 150−250 (in °C) between the LATE and EARLY periods. ( d ) (colours) Difference in the composite mean of T 150−250 between six summers with the smallest and six summers with the largest sea ice coverage in the Barents/Nordic Seas region marked as BNS box (SIA BNS index) in the following winter during the EARLY period. ( e ) As in ( d ) but for the summers preceding three winters with the smallest and four winters with the largest SIA BNS during the LATE period. ( f ) (solid curves) Standardised time series of (blue curve) the summer mean Atlantic water temperature averaged over the southern Svalbard slope area (SSS box in e ) and (red curve) the following winter SIA BNS index, their OT points (circles), their continuous piecewise linear trends with the breakpoint in summer 1997 and winter 1997/98 (dotted lines), and their continuous piecewise linear trends with the breakpoint in summer 2003 and winter 2003/04 (dashed lines), respectively. Each year on the horizontal axis refers to the summer season. In ( a – e ) grid lines are masked in the areas of valid data. Grid cells shallower than 150 m are white shaded, while areas of missing ocean data are dark shaded. In ( c – e ) differences smaller than 0.2 °C or nonsignificant at the 95% confidence level are white shaded. The maps were generated by MathWorks MATLAB R2014a with M_Map ( http://www.eoas.ubc.ca/rich/map.html ).

Article Snippet: The maps were generated by MathWorks MATLAB R2014a with M_Map ( http://www.eoas.ubc.ca/rich/map.html ).

Techniques: Generated

Journal: Scientific Reports

Article Title: Subsurface ocean flywheel of coupled climate variability in the Barents Sea hotspot of global warming

doi: 10.1038/s41598-019-49965-6

Figure Lengend Snippet: Spatial structure, seasonal evolution and predictability of the sea ice concentration anomalies in the Barents/Nordic Seas region during the EARLY and LATE periods. ( a , b ) (thin contours and colour shading) Detrended winter mean SIC anomalies regressed onto the detrended previous summer anomalies of Atlantic water temperature (AWT SSS index, blue curve in Fig. ) in the EARLY ( a ) and LATE ( b ) periods. The thin contour and shading colours are explained in the caption to Fig. . The CI is 5% per unit AWT SSS index re-standardised for the anomalies in the two periods. The thick black lines (15% and 85% SIC contours) delineate the marginal ice zone in the two periods. The maps were generated by MathWorks MATLAB R2014a with M_Map ( http://www.eoas.ubc.ca/rich/map.html ). ( c , d ) Time-lagged correlation coefficient of the summer mean AWT SSS anomalies with the seasonal (3-month) mean anomalies of the sea ice area in (blue line) the Barents/Nordic Seas (BNS box in a ) and Barents Sea (BS box in b ) regions during the EARLY ( c ) and LATE ( d ) periods. The filled circles denote correlations statistically significant at the 95% confidence level. Positive (resp. negative) lags correspond to the AWT SSS anomalies leading (resp. lagging) the SIA anomalies. ( e , f ) Time series of the observed (blue curve) and predicted (red curve) wintertime SIA anomalies in the Barents/Nordic Seas region in the EARLY ( e ) and LATE ( f ) periods. The predictions are for the DJF and NDJ mean SIA BNS anomalies in the EARLY and LATE periods, respectively. They are based on leave-1-yr-out cross-validation forecasts with the previous JJA mean AWT SSS anomalies as the predictor. Each year on the horizontal axis includes January of the winter season.

Article Snippet: The maps were generated by MathWorks MATLAB R2014a with M_Map ( http://www.eoas.ubc.ca/rich/map.html ).

Techniques: Concentration Assay, Generated

Journal: Scientific Reports

Article Title: Subsurface ocean flywheel of coupled climate variability in the Barents Sea hotspot of global warming

doi: 10.1038/s41598-019-49965-6

Figure Lengend Snippet: Spatial structure and seasonal evolution of SST and surface wind anomalies in the Barents/Nordic Seas region during the LATE period. ( a ) Difference in early winter (NDJ) SST (colours) and u s (arrows) between 2004/05 and 2003/04. ( b ) Early winter anomalies of SST and u s regressed onto the winter (DJF) SIA BS index multiplied by −1. ( c ) Correlation coefficient of the autumn (SON) SST anomalies with the following winter SIA BS index (multiplied by −1) and autumn u s anomalies regressed onto that index. ( d ) Early winter anomalies of SST and u s regressed onto the previous summer AWT SSS index. ( e ) Time-lagged correlation coefficient of the detrended (blue curve) and raw (red curve) summer AWT SSS index with the corresponding seasonal mean SSTs averaged over the southern Barents Sea (sBS box in d ). ( f ) As in ( e ) but for the seasonal mean surface meridional winds (positive northward) averaged over the eastern Barents Sea (eBS box in d ). In ( b – d ) the time series were detrended before the analysis. The thin contour and shading colours (explained in the caption to Fig. ) are for the SST anomalies. The CI is 0.1 °C per unit SIA BS index, 0.1 and 0.1 °C per unit AWT SSS index, respectively. The anomalies of u s are subsampled and masked if both components are nonsignificant at the 95% confidence level. In ( a – d ) the thick black lines are the mean 15% SIC contours in early winter 2004/05, early winters and autumns of the LATE period, and early winters of the LATE period, respectively. The maps were generated by MathWorks MATLAB R2014a with M_Map ( http://www.eoas.ubc.ca/rich/map.html ). In ( e , f ) the filled circles denote correlations statistically significant at the 95% confidence level. Positive (resp. negative) lags correspond to AWT SSS leading (resp. lagging) the surface variables.

Article Snippet: The maps were generated by MathWorks MATLAB R2014a with M_Map ( http://www.eoas.ubc.ca/rich/map.html ).

Techniques: Generated

Journal: Scientific Reports

Article Title: Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy–Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks

doi: 10.1038/s41598-020-74142-5

Figure Lengend Snippet: Axial component of an induced magnetic field for Re m . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Article Snippet: Figure 11 Tangential component of induced magnetic field for R . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Techniques: Generated

Journal: Scientific Reports

Article Title: Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy–Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks

doi: 10.1038/s41598-020-74142-5

Figure Lengend Snippet: Tangential component of an induced magnetic field for Re m . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Article Snippet: Figure 11 Tangential component of induced magnetic field for R . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Techniques: Generated

Journal: Scientific Reports

Article Title: Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy–Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks

doi: 10.1038/s41598-020-74142-5

Figure Lengend Snippet: Axial velocity profile for R 1 . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Article Snippet: Figure 11 Tangential component of induced magnetic field for R . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Techniques: Generated

Journal: Scientific Reports

Article Title: Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy–Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks

doi: 10.1038/s41598-020-74142-5

Figure Lengend Snippet: Tangential velocity profile for R 1 . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Article Snippet: Figure 11 Tangential component of induced magnetic field for R . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Techniques: Generated

Journal: Scientific Reports

Article Title: Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy–Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks

doi: 10.1038/s41598-020-74142-5

Figure Lengend Snippet: Axial component of induced magnetic field for R 1 . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Article Snippet: Figure 11 Tangential component of induced magnetic field for R . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Techniques: Generated

Journal: Scientific Reports

Article Title: Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy–Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks

doi: 10.1038/s41598-020-74142-5

Figure Lengend Snippet: Tangential component induced magnetic field for R 1 . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Article Snippet: Figure 11 Tangential component of induced magnetic field for R . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Techniques: Generated

Journal: Scientific Reports

Article Title: Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy–Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks

doi: 10.1038/s41598-020-74142-5

Figure Lengend Snippet: Axial velocity profile for R 2 . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Article Snippet: Figure 11 Tangential component of induced magnetic field for R . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Techniques: Generated

Journal: Scientific Reports

Article Title: Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy–Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks

doi: 10.1038/s41598-020-74142-5

Figure Lengend Snippet: Tangential velocity profile for R 2 . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Article Snippet: Figure 11 Tangential component of induced magnetic field for R . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Techniques: Generated

Journal: Scientific Reports

Article Title: Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy–Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks

doi: 10.1038/s41598-020-74142-5

Figure Lengend Snippet: Axial component of induced magnetic field for R 2 . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Article Snippet: Figure 11 Tangential component of induced magnetic field for R . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Techniques: Generated

Journal: Scientific Reports

Article Title: Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy–Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks

doi: 10.1038/s41598-020-74142-5

Figure Lengend Snippet: Tangential component of induced magnetic field for R 2 . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Article Snippet: Figure 11 Tangential component of induced magnetic field for R . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Techniques: Generated

Journal: Scientific Reports

Article Title: Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy–Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks

doi: 10.1038/s41598-020-74142-5

Figure Lengend Snippet: Upper disk torque for R 2 . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Article Snippet: Figure 11 Tangential component of induced magnetic field for R . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Techniques: Generated

Journal: Scientific Reports

Article Title: Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy–Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks

doi: 10.1038/s41598-020-74142-5

Figure Lengend Snippet: Variation of temperature profile for Pr. Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Article Snippet: Figure 11 Tangential component of induced magnetic field for R . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Techniques: Generated

Journal: Scientific Reports

Article Title: Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy–Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks

doi: 10.1038/s41598-020-74142-5

Figure Lengend Snippet: Axial velocity profile for S . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Article Snippet: Figure 11 Tangential component of induced magnetic field for R . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Techniques: Generated

Journal: Scientific Reports

Article Title: Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy–Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks

doi: 10.1038/s41598-020-74142-5

Figure Lengend Snippet: Tangential velocity profile for S . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Article Snippet: Figure 11 Tangential component of induced magnetic field for R . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Techniques: Generated

Journal: Scientific Reports

Article Title: Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy–Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks

doi: 10.1038/s41598-020-74142-5

Figure Lengend Snippet: Axial induced magnetic field for S . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Article Snippet: Figure 11 Tangential component of induced magnetic field for R . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Techniques: Generated

Journal: Scientific Reports

Article Title: Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy–Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks

doi: 10.1038/s41598-020-74142-5

Figure Lengend Snippet: Tangential induced magnetic field for S . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Article Snippet: Figure 11 Tangential component of induced magnetic field for R . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Techniques: Generated

Journal: Scientific Reports

Article Title: Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy–Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks

doi: 10.1038/s41598-020-74142-5

Figure Lengend Snippet: Variation of concentration profile for k 1 and k 2 . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Article Snippet: Figure 11 Tangential component of induced magnetic field for R . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Techniques: Concentration Assay, Generated

Journal: Scientific Reports

Article Title: Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy–Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks

doi: 10.1038/s41598-020-74142-5

Figure Lengend Snippet: Variation of concentration profile for Sc . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Article Snippet: Figure 11 Tangential component of induced magnetic field for R . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Techniques: Concentration Assay, Generated

Journal: Scientific Reports

Article Title: Significance of magnetic Reynolds number in a three-dimensional squeezing Darcy–Forchheimer hydromagnetic nanofluid thin-film flow between two rotating disks

doi: 10.1038/s41598-020-74142-5

Figure Lengend Snippet: Variation of a tangential velocity profile for C 1 . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html1 .

Article Snippet: Figure 11 Tangential component of induced magnetic field for R . Image generated by using MATLAB 2015a https://www.mathworks.com/help/simulink/release-notes-R2015a.html .

Techniques: Generated