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(a) Photostability of deuterated radicals in cyclohexane solution. (b) Photograph of comparison of photostability under irradiation with 365 nm handheld UV lamp.
PMC10301369
molecules-28-04805-g005.jpg
0.510214
27296a1f51f649c79659ae50e51bb82c
Overview of the experimental design and validation of the peripartum antibiotic protocol. (A) Schematic diagram of the three experiments performed in the study. Broad-spectrum antibiotics (Abx) or sterile water (Ctrl) were administered to pregnant dams via gavage from E15 to P3. BM = breastmilk; Esb = Esbilac; LGG = Lactobacillus rhamnosus GG. Note that in the antibiotic + formula feeding + LGG experiment, LGG was only administered to the Abx-Esb + LGG group by gavage from P4 to P8. All pups were sacrificed on P9. (B,C) Real-time qPCR for universal bacterial 16S rRNA and for major phyla was used to determine the relative gut bacterial load and abundance, respectively. (B) Stools from the dams were collected at E15 (baseline) and P3 (end of antibiotic treatment). (C) Colonic stools from the pups were collected at time of euthanasia at P9. The data presented as the means ± SD. * p < 0.05, using an unpaired Student’s t-test. ns, not significant. n = 5–7 stool samples for each group.
PMC10301450
microorganisms-11-01482-g001.jpg
0.443206
250b9d9e2ad545f99075d3aa91a3a598
Effects of peripartum antibiotics on the developing neonatal gut of the mouse pups under baseline conditions. Broad-spectrum antibiotics or sterile water were given to pregnant dams from E15 to P3. Ileal tissue was harvested from the pups at P9. Pups exposed to antibiotics (Abx) were compared to unexposed pups (Ctrl). (A–C) Effects on intestinal mucin. (A) Representative micrograph of immunofluorescence staining of terminal ileum for MUC2 (red). (B) Quantification of MUC2+ cells/villi. (C) Relative gene expression of MUC2 and TFF3. (D–F) Effects on intestinal tight junction proteins and intestinal permeability. (D) Representative micrograph of immunofluorescence staining of terminal ileum for EPCAM (green). (E) Relative gene expression of EPCAM and CLDN3. (F) Measurement of fluorescein isothiocyanate-dextran 4 kDa (FD4) levels in serum 4 h after oral gavage. (G–M) Effects on intestinal proliferation. (G) Representative images of terminal ileum stained with H&E. (H) Measurements of villus height, crypt depth, and villus height to crypt depth ratio obtained from five well-oriented villi and crypts of the terminal ileum. (I,J) Immunofluorescence staining and quantification for OLFM4 (red) in the terminal ileum. (K) Reduced gene expression of OLFM4 in the terminal ileum of the Abx group. (L,M) Immunofluorescence staining and quantification for PCNA (green) in the terminal ileum. The data are presented as the means ± SD. * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001, using an unpaired Student’s t-test. ns, not significant. n = 8–13 pups for each group. Scale bar for all images is 50 µm.
PMC10301450
microorganisms-11-01482-g002.jpg
0.441845
a7ec43e1173b42a588ccd5c3bb527e3a
Detrimental effects of peripartum antibiotics on neonatal gut injury in the mouse pups subjected to formula feeding. The antibiotic-exposed pups were formula-fed with Esbilac from P6 to P8. Terminal ileum samples were obtained after sacrifice on P9. (A) Representative images of H&E-stained terminal ileum sections. (B) Intestinal injury scores showing more severe injury in the Abx-Esb group compared to the Ctrl-Esb group. (C) Representative images of TUNEL-stained terminal ileum sections. TUNEL-positive cells indicative of apoptosis are indicated by green fluorescence. (D) Apoptotic index showing worse intestinal apoptosis in the Abx-Esb group compared to the Ctrl-Esb group. The data are presented as the median and interquartile ranges. * p < 0.05; **** p < 0.0001, using the Kruskal–Wallis test and with correction for multiple comparisons. n = 7–12 pups per experimental group. Scale bar is 200 µm for histology and 50 µm for immunofluorescence.
PMC10301450
microorganisms-11-01482-g003.jpg
0.409556
b990f8317c324f668df2fa9cc9a96aaa
Effects of peripartum antibiotics on intestinal inflammation, intestinal mucin, and intestinal tight junction proteins following formula feeding injury. (A,B) Effects on intestinal inflammation. (A) Intestinal gene expression of CXCL1 and IL6 (inflammatory markers). Note higher markers for intestinal inflammation in the Ctrl-Esb group but not in the Abx-Esb group. (B) Western blot for ICAM1 (inflammatory marker) and p38 and p65 (TLR4 signaling markers). Note increased ICAM1, p38, and p65 protein expression in the Ctrl-Esb group but not in the Abx-Esb group. (C–E) Effects on intestinal mucin. (C) Representative micrographs of immunofluorescence staining for MUC2 (red) in the terminal ileum. (D) Quantification of MUC2+ cells/villi. (E) Relative gene expression of MUC2. (F,G) Effects on intestinal tight junction proteins. (F) Representative micrographs of immunofluorescence staining for ECPAM (green) in the terminal ileum. (G) Relative gene expression of EPCAM. The data are presented as the mean ± SD or the median and interquartile range. ** p < 0.01; *** p < 0.001, using one-way ANOVA or the Kruskal–Wallis test as appropriate and with correction for multiple comparisons. ns, not significant. n = 7–12 pups per experimental group. Scale bar is 50 µm for all images.
PMC10301450
microorganisms-11-01482-g004.jpg
0.454665
ebd05b4a0b894d33b5df76a5b13b6893
Detrimental effects of peripartum antibiotics and formula feeding on intestinal proliferation. (A) Representative micrographs of immunofluorescence staining for OLFM4 (red) and PCNA (green) in the terminal ileum. (B) Quantification of OLFM4+ crypts and PCNA+ cells/villi. (C) Quantification of the mean fluorescence intensity of PCNA by ImageJ software. (D) Gene expression data demonstrating a reduction in intestinal OLFM4 (marker of intestinal stem cell population) in the Abx-Esb group. The data are presented as the mean ± SD or the median and interquartile range. * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001, using one-way ANOVA or the Kruskal–Wallis test as appropriate and with correction for multiple comparisons. n = 7–12 pups per experimental group. Scale bar is 50 µm for all images.
PMC10301450
microorganisms-11-01482-g005.jpg
0.49162
47d083446c8341c09bf9bc468793e6de
Beneficial effects of postnatal LGG on formula feeding injury potentiated by peripartum antibiotics. LGG was administered by gavage from P4 to P8 to antibiotic-exposed pups subjected to formula feeding. (A–C) Effects of LGG on intestinal injury. (A) Representative H&E-stained and TUNEL-stained images of the terminal ileum. (B) Intestinal injury scores and apoptotic indices. (C) Representative Western blot images for the protein expression of ICAM1, p65, and p38. (D,E) Effects of LGG on intestinal proliferation. (D) Representative micrograph of immunofluorescence staining for PCNA (green) in the terminal ileum. (E) Quantification of PCNA+ cells/villi. (F,G) Activation of the Gpr81-Wnt-β-catenin pathway by LGG. (F) Intestinal gene expression of GPR81 (a receptor for lactate) and AXIN2 (a marker for b-catenin). (G) Representative micrograph of immunofluorescence staining for b-catenin (green). Note how the pattern of prominent β-catenin expression in the crypt region of the Abx-BM group is diminished in the Abx-Esb group and partially restored in the Abx-Esb + LGG group. The data are presented as the mean ± SD or the median and interquartile range. * p < 0.05; ** p < 0.01; **** p < 0.0001, using one-way ANOVA or the Kruskal–Wallis test as appropriate and with correction for multiple comparisons. n = 6–8 pups per experimental group. Scale bar is 200 µm for histology and 50 µm for immunofluorescence.
PMC10301450
microorganisms-11-01482-g006.jpg
0.433359
cc6712ea48c1404a8a9f2ceb27eaf865
DON degradation profiles of the enrichment cultures and the isolate D3_3’ pure culture, as well as determination of the chemical structure of DON metabolite. (A) DON residual rate in MMFS and PYM media containing 50 mg/L of DON with or without insect fecal slurry after four instances of serial subcultivation. (B) LC profiles of DON degradation by the isolate D3_3 in MMFS medium containing 50 mg/L of DON. (C) MS profiles of DON, 3-keto-DON, and the putative metabolite 3-keto-DON generated by K. vulgare strain D3_3.
PMC10301637
toxins-15-00367-g001.jpg
0.451089
6323b11a648844bb9f2d6fcc7447ef8e
Taxonomic identification of DON-degrading strain D3_3. (A) The 16S rRNA-based phylogenetic tree of strain D3_3 reconstructed using the maximum likelihood method. The numbers near the nodes on the phylogenetic tree indicate that bootstrap values greater than 50%, while the content in parentheses are the GenBank accession numbers of the 16S rRNA sequences. Scale bar: 2 nucleotide substitutions per 100 positions. T: type strain, TP: use of patent strain as type strain. (B) ANI heatmap of seven Ketogulonicigenium strains. Heatmap generated based on ANI matrix obtained from Ketogulonicigenium genomes’ average nucleotide identity (ANI) values, ranging from low (blue) to high (orange).
PMC10301637
toxins-15-00367-g002.jpg
0.464257
37f1fd4d50ba46b3bc2934fd1c5fff6c
The impacts of different factors on the DON-degrading activity of strain D3_3 in the MMFS medium containing 50 mg/L of DON at incubation times of 12 and 72 h. (A) pH, (B) temperature, (C) carbon source, and (D) cultivation method. Significant differences (p < 0.05) in the degradation rates between the two groups, as determined via ordinary one-way ANOVA with a use of Tukey’s multiple comparisons test, are indicated by the different letters (a–e) above the columns. “Control” stands for the MMFS medium containing 50 mg/L of DON, while “no addition” stands for the DON-added and inoculated MMFS medium.
PMC10301637
toxins-15-00367-g003.jpg
0.422257
e6c38c3f35af4aa2a30a96af16ebaf14
Toxicity evaluation of DON and 3-keto-DON. Effect of different concentrations of DON (A) and 3-keto-DON (B) on the viabilities of GES-1 cells. Phytotoxicity assessment of DON, 3-keto-DON, and cell-free supernatant of DON-degradation culture (CFS) on the number (C) and area (D) of duckweed fronds. The use of different lowercase letters (a–f) indicates that there are significant differences (p < 0.05) between the treatments being compared. Values that share the same letter are not significantly different.
PMC10301637
toxins-15-00367-g004.jpg
0.379047
19ebef8c23f746b8a5e797c886b0f8a1
Molecular weight characterization and enzymatic activity confirmation of four recombinant PQQ-dependent alcohol dehydrogenases. (A) SDS-PAGE analysis of four Ni-affinity purified recombinant ADHs. M: molecular weight markers (10–180 KD); Lane 1: control; Lane 2: KvADH1; Lane 3: KvADH2; Lane 4: KvADH3; Lane 5: KvADH4. (B) LC profiles of 3-keto-DON produced via in vitro DON oxidation using four ADHs with PQQ, Ca2+, and PMS present.
PMC10301637
toxins-15-00367-g005.jpg
0.428168
523f5e5d5fd44389b4c5a1ebb3b668c7
Schematic presentation of the overall approach used to extract ECG electrode positions from 3D depth-sensing camera data. The first step involves methods to control the camera’s white balance and exposure settings and generate textured 3D surface meshes from the recorded depth data. During the offline processing step, these surfaces are aligned to extract the electrode positions within clusters of marker vertices found using texture images in the RGB chromacity color space and 3D surfaces.
PMC10301794
sensors-23-05552-g001.jpg
0.462438
bab9d64eaae242789743a245bb4c4d2e
The elliptic area in the RGB chromacity space corresponds to the pixels encoding shades of gray [23]. The red r and green g chromacity values of the natural illumination color gamut of 5500 K define a point that is shifted slightly off the mean RGB chromacity toward yellowish colors. Standard 3D DS cameras designed for indoor use such as the Intel RealsenseTM typically allow adjusting the gains for the red and blue channels to illumination color gamuts between, for example, 2800 K and 6500 K, as indicated on the color gamut curve. However, in real clinical settings, gamuts from 2000 K up to 10,000 K can be expected, depending on the number of light sources and shades cast by objects and people.
PMC10301794
sensors-23-05552-g002.jpg
0.483912
ca77f9fb91794d86bf0cef0eb66a85a5
The histogram-based auto-exposure algorithm considers only the pixels that most likely correspond to the patient and ignores any others. This ensures that the brightness of the patient’s skin remains as constant as possible, regardless of whether the camera points toward a window (a) or the darkest corner of the room (b). Each visible electrode is labeled with the corresponding channel number and the ‘+’ markers indicate the projected location of the computed electrode position.
PMC10301794
sensors-23-05552-g003.jpg
0.442906
a2321753cb164455b149d3726c59210d
Examples for texture images recorded from the front (a) and back (c) of the torso, and the corresponding color-corrected versions (b,d). In (b,d), each visible electrode is labeled with the corresponding channel number. The ‘+’ markers indicate the projected location of the computed electrode position.
PMC10301794
sensors-23-05552-g004.jpg
0.410567
e3159423ce5947f59234baf796ffc14f
The electrodes mounted on the patient’s torso (a) are attached to the red electrode clips. The blue boundary of each clip head (b) forms a circular marker with the red electrode clip. Based on the red and blue colors, each marker can be recognized from the recorded texture images along with 3D surface information.
PMC10301794
sensors-23-05552-g005.jpg
0.424215
103a5eb31db04d8a9999559d0a6c439f
Chromacity heat map of the pixels representing the electrode markers created from the texture images of three patients. The brighter the color, the higher the pixel count for the corresponding point in the RGB chromacity space, represented by its red r and green g chromacity values. For better readability, the RGB chromacity values are displayed in RGB gamma-compressed form. The Gaussian peaks (dash doted ellipses) representing the red (1) and blue (2) pixels of the electrode markers are clearly visible. They can easily be distinguished from the peak (3) representing the color highlights and reflections. Peak (4) is caused by inappropriately chosen values for the parameters required to convert raw color sensor data to the RGB color space.
PMC10301794
sensors-23-05552-g006.jpg
0.450745
de41bcd885274d589194b02790ac1d6f
The preview screen is divided into three panels. The main panel (1) displays the image recorded by the color sensor of the 3D DS camera. The parts of the 3D image for which no color information could be captured are replaced with the edges extracted from the depth image shown in panel 3. The current values of the color temperature, exposure time, frames per second, and other process parameters are displayed in panel 2. The two vertical lines indicate the area where the views of both cameras overlap.
PMC10301794
sensors-23-05552-g007.jpg
0.426508
17c75361bea44c4b98d3d4b1ede43378
Manual evaluation of the proposed approach for locating the electrode positions on a patient’s torso. The electrode positions are backprojected onto each recorded torso surface segment (a). An electrode position can be moved by clicking on the corresponding green cross-shaped graphical marker displayed on the texture image. Its new position is selected by pointing and clicking on it (b). In case the position pointed to is not backed by a valid surface triangle, the new point (red cross) is moved to the closest possible position. By right-clicking on an electrode marker, it can be disabled and/or enabled on the presented view. Any disabled markers are not considered suitable for further evaluation.
PMC10301794
sensors-23-05552-g008.jpg
0.505053
9b5316a13f564fdf83fd87cd26970216
β-1,3-glucanase activity in tobacco leaves after interaction with M7SB41 under pathogen stress. E+ and E− means endophyte-infected and endophyte-free plants, respectively. Values expressed as the means ± SD (n = 10), Student’s t-test was used to determine the difference between E+ and E− plants. Variation between E+ and E− were indicated by ** p < 0.01.
PMC10301872
jof-09-00620-g001.jpg
0.651562
5b98427a47c64fd9a616ffc7d60f462a
Effects of M7SB41 on the content of SA and JA in tobacco under pathogen stress. (a) The contents of SA at 0, 7, 14 d after challenge with G. cichoracearum. (b) The contents of JA at 0, 7, 14 d after challenge with G. cichoracearum. E+ and E− means endophyte-infected and endophyte-free plants, respectively. Values expressed as the means ± SD (n = 3). One-way ANOVA was performed for analysis among groups. Variations between E+ and E− were indicated by * p < 0.05, *** p < 0.001, # p > 0.05.
PMC10301872
jof-09-00620-g002.jpg
0.508232
5e30ad47f4b94b488c4349523b762b1f
The Venn diagram of differentially expressed genes (DEGs) between E− and E+. C and T: control (E− plants) and treatment (E+ plants), respectively; 0, 24, and 72 represent 0, 24, and 72 h of infection with powdery mildew, respectively.
PMC10301872
jof-09-00620-g003.jpg
0.46867
fbe61ccffcfa465e85e92cb56f57ca5a
Patterns of gene expressions across three time points in the E+ plants and E−plants inferred by STEM analysis. Note: The number in top left corner indicates the profile ID number, the number in bottom left corner indicates the number of genes in that profile, and the profiles were ordered based on the number of genes. The significance is characterized by different colors (green and red represent p-value ≤ 0.05, red represents the most significant difference.
PMC10301872
jof-09-00620-g004.jpg
0.401808
fc629cadc9444ca08f95d2cc816534ba
KEGG heat map of two plant defense-relate pathways. (a) KEGG heat map of hormone signal transduction pathway. (b) KEGG heat map of phenylpropanoid biosynthesis. p value is characterized by different colors, as shown in the example on the right, and red indicates p < 0.05; C and T: control (E− plants) and treatment (E+ plants), respectively; 0, 24, and 72 represent 0, 24, and 72 h of infection with powdery mildew, respectively.
PMC10301872
jof-09-00620-g005.jpg
0.446599
b9a16b07b83748b68c593bdfc5c4446a
Validation of mRNA sequencing (RNA-seq) data by quantitative real-time PCR (qRT-PCR). Note: FPKM indicates fragments per kilobase of exon per million mapped reads.
PMC10301872
jof-09-00620-g006.jpg
0.461791
9d1b419e7d234609aca69d254e4021e0
Model for priming of SA-dependent pathway and other defense responses by endophyte M7SB41 against G. cichoracearum invasion. Colonization with M7SB41 was associated with activation of Ca2+-signaling, SA-signaling, and phenylpropanoid pathway. (a) Ca2+-signaling: after infection by M7SB41, it may trigger an influx of calcium ions which is then followed by changes in the expression of CaM/CML, CDPKs genes. After that, the expression of downstream WRKY may be regulated. (b) SA-signaling: pathogens attack results in increased biosynthesis of SA via PAL pathway. SA accumulation disrupts the oligomeric NPR1 into its monomers and then NPR1 monomers interact with TGA and WRKY. Subsequently, it may induce expression of disease resistance genes including PR genes. Finally, SAR was activated. (c) Phenylpropanoid pathway.
PMC10301872
jof-09-00620-g007.jpg
0.475682
05888a795956490a9445258c13222a51
Pyocyanin-induced neural cell damage. (A) Mechanism of pyocyanin-induced oxidative stress (B) cell viability experiment was performed by CCK-8 kit. (C) Relative mitochondrial membrane potential, (D) intracellular glutathione, (E) glutathione reductase and (F) glutathione peroxidase. (G) The accumulated ROS was determined according to by FACS. (H) Evaluating ROS positive portion. The results are expressed as average ± SD (n = 3). Star marker indicates statistically difference of P < 0.05.
PMC10301880
d3ra02943c-f1.jpg
0.42749
b7e3b173ee8b42499fd7153928b67937
Chemical structure on selected antioxidant compounds.
PMC10301880
d3ra02943c-f2.jpg
0.42388
547699d965f3455ead68d389de3be28d
Antioxidant compounds attenuated pyocyanin-induced ROS production and cell dysfunction. (A) Relative mitochondrial membrane potential. (B) Glutathione, (C) glutathione reductase and (D) glutathione peroxidase amount. (E) Potential antioxidant comparison was analyzed by heat map. The relative increased percentage of data was used. The bins of 25%, 50% and 75% were selected by employing green, blue, dark red and red color.
PMC10301880
d3ra02943c-f3.jpg
0.519753
6d4bf44b60bb4fbe8957df542e47f96d
Pyocyanin-induced neuronal dysfunction activates AMPK and ERK pathway. (A) Western blot assay of essential kinases by their phosphorylation. Relative band intensity assay between phosphorylated (B) AMPK, (C) ERK, (D) JNK, (E) p38 and internal control. (F) Pre-incubation with catechin or U0126, the ERK specific inhibitor, partially abolish pyocyanin-induced AMPK and ERK phosphorylation. Relative band intensity assay between (G) p-AMPK, (H) p-ERK and internal control. (I) Pre-incubation with catechin or U0126 attenuated pyocyanin-induced ROS positive cells (n = 10 000 cells). The results are expressed as average ± SD (at least n = 3). Star marker indicates statistically difference of P < 0.05.
PMC10301880
d3ra02943c-f4.jpg
0.529384
1fbd2f2505d7471bafafa9389f878b25
Catechin protective against pyocyanin-induced ROS production.
PMC10301880
d3ra02943c-f5.jpg
0.490189
1f3bc4d357474116abc7cba4a63dcf1c
Potential pathophysiological targets/mechanisms of SGLT2 inhibitors. The interplay between NAFLD and diseases of the metabolic spectrum (Type 2 Diabetes Mellitus and other components of metabolic syndrome) addresses many potential mechanisms by which SGLT-2 inhibitors could act beyond inhibiting SGLT2-mediated renal glucose reabsorption and inducing glycosuria. Furthermore, NAFLD has been associated with an increased risk for chronic kidney disease and cardiovascular diseases, and SGLT-2i are known for their renoprotective and cardioprotective properties. Their different pathophysiological targets/mechanisms include the inhibition of de novo lipogenesis, leading to hepatic steatosis and improving oxidative and inflammatory responses, which directly and indirectly improve insulin sensitivity. Abbreviations: NAFLD: non-alcoholic fatty liver disease, NASH: non-alcoholic steatohepatitis, HCC: hepatocellular carcinoma, SGLT-2i: Sodium glucose cotransporter-2 inhibitors.
PMC10301940
medicina-59-01136-g001.jpg
0.415903
d7c9e5645ea5479a97ceaaab8e19ee89
Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram.
PMC10301940
medicina-59-01136-g002.jpg
0.417071
a402b755439f4eefb8b2a019c172323c
Macroscopic characteristics of L. galangal. (a) Morphological view of the L. galangal. (b) Cuttings of the inner rhizome.
PMC10302669
medicines-10-00034-g001.jpg
0.456782
30b95c748b8347f0af46e0cb1c866116
(a) Microscopic view of the transverse section of L. galangal rhizome (×40). Powder microscopy: (b) phloem vessel (×40), (c) calcium oxalate crystals (×40), (d) fiber (×40), (e) endocarp (×40).
PMC10302669
medicines-10-00034-g002.jpg
0.401721
c848031d46de4238bd6b3a09def31901
TLC results for the hexane galangal extract. (a) TLC galangal extract under the UV 254 lamp. (b) TLC under the UV lights, 360 nm.
PMC10302669
medicines-10-00034-g003.jpg
0.431644
e0dffc93e2ef4431a794cdc24864a7dd
Antifungal activity of the extracts of L. galangal rhizome. (a) Candida albicans. (b) Aspergillus niger.
PMC10302669
medicines-10-00034-g004.jpg
0.380587
82780645ac014f64a2b1ff07e2fdde3e
Proposed structure of Schottky graphene solar cell.
PMC10302783
micromachines-14-01226-g001.jpg
0.417467
82e641fbcee44a3d86ebb70eafdeb9b2
Energy band diagram of graphene solar cell.
PMC10302783
micromachines-14-01226-g002.jpg
0.451866
6b19a1ecba6e43a8a6e45f31febd53d5
Optimized optical intensity in Si solar cell.
PMC10302783
micromachines-14-01226-g003.jpg
0.450922
e2904ebb4a5e4d95afa205961214d143
Solar cell cross-section view of graphene Si.
PMC10302783
micromachines-14-01226-g004.jpg
0.468255
acfd7a79f6fd4055bd06f9198f7d1d7a
Solar cell cross-section view of graphene GaAs.
PMC10302783
micromachines-14-01226-g005.jpg
0.433908
ad158668e5ed4a52a012ecdfb98331d4
Photogeneration rate in Si solar cell.
PMC10302783
micromachines-14-01226-g006.jpg
0.42419
b672adcf2a704257a98b7b5d47594a33
Recombination rate in Si Solar cell.
PMC10302783
micromachines-14-01226-g007.jpg
0.420298
7d58b28439344126bb73cbe91980d839
Potential of Si solar cell.
PMC10302783
micromachines-14-01226-g008.jpg
0.456258
229dd99e3d9d49cfb64517ef98bcd794
Photogeneration rate of Si cell: (a) 5 µm, (b) 10 µm, (c) 20 µm.
PMC10302783
micromachines-14-01226-g009.jpg
0.525288
c7cb941de82a4bb7ad312e058925906a
Electric field of Si cell: (a) 5 µm, (b) 10 µm, (c) 20 µm.
PMC10302783
micromachines-14-01226-g010.jpg
0.409585
0164d8d9626b4332b5f38531cec098b0
Potential of Si cell: (a) 5 µm, (b) 10 µm, (c) 20 µm.
PMC10302783
micromachines-14-01226-g011.jpg
0.430303
ed532f61ca824b4389f4ede45ce26209
I-V curve of Si substrate with different thicknesses.
PMC10302783
micromachines-14-01226-g012.jpg
0.547143
75c8aaf331a94d1a824c9c1fe1465ed9
EQE of solar cell vs. different Si thicknesses.
PMC10302783
micromachines-14-01226-g013.jpg
0.522027
cf9bec29ed39428289b85715ca488ae0
I-V curve of GaAs substrate with different thicknesses.
PMC10302783
micromachines-14-01226-g014.jpg
0.512876
6fda43ed15b44698bdf1b15b2c6f1bdb
EQE of solar cell vs. different GaAs thicknesses.
PMC10302783
micromachines-14-01226-g015.jpg
0.478727
8b71c27da32e48ad85c608e9f2771671
Absorption and transmission co-efficient of solar cells.
PMC10302783
micromachines-14-01226-g016.jpg
0.420813
c95e00df8d3b499a82ebcc612dc498de
The procedure of isoflurane administration and LFP PSD during different states. a Schematic procedure of the experiment. The isoflurane was administered at sustained concentration and increased in a stepwise fashion. b Average LFP spectrogram during four states from 20 animals. The color bar indicates the log PSD. The QA and four isoflurane-dose states were demarcated by the black box in each spectrogram. c Relative power spectrum density in delta, theta, alpha, and beta band. Dark blue columns refer to the QA state, yellow columns refer to the 0.75% isoflurane, and red columns refer to the 1.25% isoflurane, green columns refer to the 1.75% isoflurane. QA, Quiet awake state. The dots refer to the relative power values of each rat. One-way ANOVA with Bonferroni’s post hoc test. ∗ indicates a significant difference between states (QA, 0.75%, 1.25%, or 1.75%) with p < 0.05; n = 20
PMC10303294
12871_2023_2153_Fig1_HTML.jpg
0.445781
312011d770fd47819694c8eaffa21345
Functional connectivity under QA and three isoflurane-dose states in the 1–30 Hz. a-d The topology of DMN under QA and three isoflurane-dose states in the 1–30 Hz. QA, Quiet awake state. PrL, prelimbic cortex; OFC, orbital cortex; Cg, cingulate cortex; Hip, hippocampus; PPC, posterior parietal cortex; TeA, auditory/temporal association cortex; V2, secondary visual cortex; RSC, retrosplenial cortex. e The Holistic FCS of the DMN. FCS, functional connection strength. The dots refer to the FCS of each rat. ∗ indicates a significant difference between each state (QA, 0.75% isoflurane, 1.25% isoflurane, and 1.75% isoflurane) using one-way ANOVA with a Bonferroni post hoc test. The level of significance is p < 0.05. n = 20
PMC10303294
12871_2023_2153_Fig2_HTML.jpg
0.379275
08a57233ddb24f2cbc9b3dac28dbe4e4
DMN topologies and FCS with the 20% smallest and 20% largest fluctuation FC in the DMN across different states in 1–30 Hz. a–d Stable network topology (small fluctuation). e The FCS of the stable network topology. f-i Flexible network topology (large fluctuation). j The FCS of the flexible network topology. The blue lines indicate the smallest 20% fluctuation of connections based on the fuzzy entropy of PLVs; the red lines indicate the largest 20% fluctuation. The dot size indicates the degree of centrality of the DMN regions. R, right, L, left. n = 20
PMC10303294
12871_2023_2153_Fig3_HTML.jpg
0.404092
d6fd17db07a84271ad159552b9d30a82
FCS and topological features of the DMN under QA and three isoflurane-dose states. a-e Cluster in the 1–30 Hz and four frequency bands. f-j Mod in the 1–30 Hz and four frequency bands. The dots refer to the Cluster, and Mod values of each rat. ∗ indicates a significant difference between each state (QA, 0.75% isoflurane, 1.25% isoflurane, and 1.75% isoflurane) using one-way ANOVA with a Bonferroni post hoc test. The level of significance is p < 0.05. n = 20
PMC10303294
12871_2023_2153_Fig4_HTML.jpg
0.546052
31f0ac02a7ef4ef08eac78574faccf13
The isolated bioactive marker compounds from different fractions of A. costus. (1) Dehydrocostus lactone, (2) costunolide, (3) syringin and (4) 5-hydroxymethyl-2-furaldehyde.
PMC10303526
molecules-28-04815-g001.jpg
0.483975
d9aafcd115224c4a863e41a0e49ea62c
High-performance liquid chromatography (HPLC) chromatogram observed at 220 nm of a standard compound mixture from A. costus displaying the separation of isolated marker compounds (1) 5-hydroxymethyl-2-furaldehyde, tR 9.56, (2) syringin, tR 10.85, (3) costunolide, tR 22.84, and (4) dehydrocostus lactone, tR 23.55, and, obtained by the developed HPLC method.
PMC10303526
molecules-28-04815-g002.jpg
0.411566
0a4468304d5d4f8cbdda717f532cd289
High-performance liquid chromatography chromatogram at 220 nm of crude extract of A. costus showing identified peaks of isolated marker compounds used as standard compounds for quantification in extract and fractions using the developed HPLC method.
PMC10303526
molecules-28-04815-g003.jpg
0.408409
34ff5818be694b48b857daa96a536b6b
The relative contents of bioactive marker compounds dehydrocostus lactone, costunolide, syringin and 5-hydroxymethyl-2-furaldehyde in crude ethanolic extract and hexane, chloroform, and butanol fractions.
PMC10303526
molecules-28-04815-g004.jpg
0.473056
dcc3fa3537894cca93e2625157ad49fc
Cytotoxicity activity (% growth inhibition) for (a) hexane, (b) chloroform and (c) butanol fractions and (d) crude ethanolic extract at different concentrations of 3.125, 6.25, 12.5, 25, 50 and 100 µg/mL.
PMC10303526
molecules-28-04815-g005.jpg
0.526789
f2ba59659d5e4bbba3a24aff00ca7029
The proposed SOA-based RC scheme. g1 and g2 are the input gain and feedback gain of RC; ui(t) is the i-th value of the input parameter that enters RC after passing through a high-dimensional masking operation at time t; xi(t) and xi(t − 1) are the states of neurons within RC at time t and t − 1, respectively.
PMC10303539
sensors-23-05697-g001.jpg
0.517379
1460c8fd88c94453893ce49e2ac51a1d
Activation function obtained by the SOA.
PMC10303539
sensors-23-05697-g002.jpg
0.425426
6cf17f3a9da24808a630d9961190c987
Internal status of the neuron of the SOA-based RC: (a) 50 neurons and (b) 1 neuron.
PMC10303539
sensors-23-05697-g003.jpg
0.528185
aeac1f5034254ceea1c4b62122eb587e
Simulation platform of the DWDM channel for NRZ or DQPSK signals.
PMC10303539
sensors-23-05697-g004.jpg
0.413988
37101f93508440919ef902a1e5987b05
Optical spectra of the 20-channel OOK signals: (a) before and (b) after the transmission.
PMC10303539
sensors-23-05697-g005.jpg
0.404365
eacfbee7267240e195ed704d6156dba1
Optical spectra of the 10-channel DQPSK signals: (a) before and (b) after the transmission.
PMC10303539
sensors-23-05697-g006.jpg
0.463301
1a2df59c90ff4f9d953ed722cd16b3f4
The dependence of the signal quality Q on (a) the training length Ltra and (b) the input mask dimension Nm for NRZ signals.
PMC10303539
sensors-23-05697-g007.jpg
0.419121
7d892859eac24290837899a634703ab8
Distorted and compensated NRZ signals with launched optical powers in (a) Channel 1 and (b) Channel 10.
PMC10303539
sensors-23-05697-g008.jpg
0.413172
f9c00393635e44c6b2d156fee1935729
Distorted and compensated OOK signals in different DWDM channels.
PMC10303539
sensors-23-05697-g009.jpg
0.388594
0a177dff3f9442fe8c279ce5fb05778a
The dependence of the signal quality Q on (a) the training length Ltra and (b) the input mask dimension Nm for DQPSK signals.
PMC10303539
sensors-23-05697-g010.jpg
0.375834
502cc7f529a44335b137cdd4d19d8004
Distorted and compensated DQPSK signals with launched optical powers in (a) Channel 1 and (b) Channel 5.
PMC10303539
sensors-23-05697-g011.jpg
0.433414
b03a753150e041fcbe0af034f911e999
Distorted and compensated DQPSK signals for the 10-channel DWDM system.
PMC10303539
sensors-23-05697-g012.jpg
0.464497
2f8a2983c7f24a1891a62fc42dbaad82
Constellation diagrams for (a) Channel 1 before compensation, (b) Channel 1 after compensation, (c) Channel 5 before compensation, and (d) Channel 5 after compensation.
PMC10303539
sensors-23-05697-g013.jpg
0.480686
5ee0b8d3c923486293748d0205569ea3
Compensation comparison of FFE, SOA-RC, and FFE+SOA-RC for (a) NRZ and (b) DQPSK.
PMC10303539
sensors-23-05697-g014.jpg
0.45567
167fc7cc7c4249c7b2351f835dc4c97b
Phylogenetic tree of 10 yeast strains isolated from traditional doenjang and nuruk in various regions in Korea. A maximum-likelihood phylogenetic tree was constructed using fifteen long 18S rRNA gene sequences from Debaryomyces hansenii, Millerozyma farinose, Hyphopichia burtonii, Saccharomycopsis fibuligera, Saccharomyces cerevisiae, Nakaseomyces glabratus, and Starmerella geochares sequences from GenBank. The accession numbers of each strain in GenBank are presented in parentheses.The isolate was inoculated into 1% YPD broth containing 25% glucose (v/v) and cultured at 25 °C for 7 days to evaluate the sugar consumption and alcohol production of the yeast strains. Among the ten isolates, D10–P12 exhibited the highest alcohol production, followed by NR4, D6–P9, D5–P5, and NR5 (Table 1). Therefore, the functional characteristics of the five selected yeast strains were evaluated.
PMC10303777
microorganisms-11-01503-g001.jpg
0.468296
2dceda246d824700803d50efa27dcb0e
Dose-dependent cell viability in yeast strains (a). RAWBlue™ (1 × 105/well plate) with or without LPS (10 ng/mL) in the presence or absence of yeast at indicated doses. Cell viability was measured by MTT assay. Effects of yeast strains on the production of NF-κB (b) in LPS (100 ng/mL)-induced RAWBlue™ cell. The data represent the mean ± SD of triplicate experiments. * p < 0.05, ** p < 0.01, and *** p < 0.001 compared with LPS-only-treated cells.
PMC10303777
microorganisms-11-01503-g002.jpg
0.448956
20bc73199c3e4b18b8ae05d9192fb4c2
Effects of yeast strains on LPS (100 ng/mL)-stimulated NO production in RAWBlue™ cells. Nitrite level (a) in the culture medium was measured using Griess Regent. iNOS (b) and COX-2 (c) mRNA expression was detected by RT-PCR. The data represent the mean ± SD of triplicate experiments. * p < 0.05, ** p < 0.01, and *** p < 0.001 compared with LPS-only-treated cells.
PMC10303777
microorganisms-11-01503-g003.jpg
0.434164
c3f115ae6930417b821745f49344e6d3
Effects of yeast strains on LPS (100 ng/mL)-induced pro-inflammatory cytokines in RAWBlue™ cells. IL-1β (a), IL-6 (b), and TNF-α (c) levels in the culture medium were measured using ELISA. mRNA levels of IL-1β (d), IL-6 (e), and TNF-α (f) were determined using RT-PCR. The data represent the mean ± SD of triplicate experiments. * p < 0.05, ** p < 0.01, and *** p < 0.001 compared with LPS-only-treated cells.
PMC10303777
microorganisms-11-01503-g004.jpg
0.411785
e279aeac77cf4bb4b96183e1c730bf0d
Antibacterial activity of the yeast isolates against Bacillus cereus (B. cereus) KACC 10004, Staphylococcus aureus (S. aureus) ATCC 6538, Escherichia coli (E. coli) KCTC 1309, and Salmonella typhimurium (S. typhimurium) KCTC 41028. Control represents the result of inoculating bacteria only. The data represent the mean ± SD of triplicate experiments. * p < 0.05, ** p < 0.01, and *** p < 0.001 compared with the bacteria-only-treated control.
PMC10303777
microorganisms-11-01503-g005.jpg
0.451549
17c1fbb06e0f49daae9b8db8b46847fb
A graphical illustration of the classification of extended reality (ER) into subtypes of technologies such as: augmented reality (AR), mixed reality (MR), and virtual reality (VR). Self-developed illustration.
PMC10303875
tomography-09-00088-g001.jpg
0.446674
2f3a8f750bbb4c378cc1404a0f224f91
PRISMA analysis. * Records identified through PubMed and Scopus, ** Records excluded for not directly relevant.
PMC10303875
tomography-09-00088-g002.jpg
0.498117
064a511d2cbb4d638d35750f5260de30
Longitudinal evaluation of serum values 2, 4, and 12 weeks after drug administration; group 1 (ferric carboxymaltose) presented in orange and group 2 (iron sucrose) presented in turquoise. 25(OH)D, 25-hydroxyvitamin D; CTX, beta-CrossLaps; Hb, hemoglobin; iPTH, intact parathyroid hormone; P1NP, procollagen type 1 amino-terminal propeptide. Data are presented as mean and 95% confidence intervals. * p < 0.05; ** p < 0.01; *** p < 0.001.
PMC10304306
nutrients-15-02693-g001.jpg
0.459117
e6f81a9a24f54d74b9df2916c97a1b21
Comparison of crestal and lateral approach groups by follow-up period (mm).
PMC10304546
medicina-59-01132-g001.jpg
0.512973
d0cc58a7d30d44758765dc24d0cf96fc
Estimated mean change in the grafted bone height in the crestal approach group.
PMC10304546
medicina-59-01132-g002.jpg
0.495684
f9ced1e7eb5f4da0b15328926ab40232
Estimated mean change in the grafted bone height in the lateral approach group.
PMC10304546
medicina-59-01132-g003.jpg
0.413912
27bdf064ea9d402d96ba63ae2f4d4c57
Growth response of roots (a) and shoots (b) of cultivar Sparkle and E107 (brz) mutant to inoculation with Cupriavidus sp. D39. Treatments: control—Al-untreated and uninoculated plants, D39—inoculated with Cupriavidus sp. D39, Al—treated with 80 µM AlCl3, D39 + Al—inoculated with Cupriavidus sp. D39 and treated with 80 µM AlCl3. Vertical bars show standard errors. Different lowercase letters show significant differences between treatments (least-significant difference test, p < 0.05; n varied from 25 to 30 depending on the pea genotype and treatment). DW stands for dry weight.
PMC10304612
plants-12-02334-g001.jpg
0.384577
24abcb8de9c9450a9dad4f74e281ccc9
Final concentration of Al in solution (a), roots (b), and shoots (c) and pH of the solution (d) of cultivar Sparkle and E107 (brz) mutant inoculated with Cupriavidus sp. D39. Treatments: control—Al-untreated and uninoculated plants, D39—inoculated with Cupriavidus sp. D39, Al—treated with 80 µM AlCl3, D39 + Al—inoculated with Cupriavidus sp. D39 and treated with 80 µM AlCl3. Vertical bars show standard errors. Different lowercase letters show significant differences between treatments (least-significant difference test, p < 0.05, n = 3). DW stands for dry weight.
PMC10304612
plants-12-02334-g002.jpg
0.449646
3bc437d0ee9641e387f353261d02d9d0
Accumulation of Al in components of hydroponic system: root (a), shoot (b), solution (c), and residue (d). Pea genotypes: cultivar Sparkle and E107 (brz) mutant. Treatments: Al—uninoculated and treated with 80 µM AlCl3, Al + D39—inoculated with Cupriavidus sp. D39 and treated with 80 µM AlCl3. Vertical bars show standard errors. Different lowercase letters show significant differences between treatments (least-significant difference test, p < 0.05, n = 3). DW stands for dry weight.
PMC10304612
plants-12-02334-g003.jpg
0.375261
b22dba6d235e4ff48e4c38bb42de8814
The number of Cupriavidus sp. D39 in the nutrient solution (a) and on roots (b) of cultivar Sparkle and E107 (brz) mutant. Treatments: D39—inoculated with Cupriavidus sp. D39, D39 + Al—inoculated with Cupriavidus sp. D39 and treated with 80 µM AlCl3. Vertical bars show standard errors. Different lowercase letters show significant differences between treatments (least-significant difference test, p < 0.05, n = 12). CFU stands for colony-forming units.
PMC10304612
plants-12-02334-g004.jpg
0.379105
8b8384200eb04a3d8c027d69a64c66e4
Fluorescence microscopy images of Cupriavidus sp. D39 on roots of cultivar Sparkle (a,c) and E107 (brz) mutant (b,d). The plants were untreated (a,b) or treated with 80 µM AlCl3 (c,d). The bacteria were tagged with GFP and colored green. Scale bar (20 µm) shown in (c) is the same for all images.
PMC10304612
plants-12-02334-g005.jpg
0.467351
0275e5984d0d48a29b9025e98d2f8420
Exudation of organic acids by roots of cultivar Sparkle and E107 (brz) mutant inoculated with Cupriavidus sp. D39 and treated with aluminum. Organic acids: acetate (a), citrate (b), fumarate (c), lactate (d), malate (e), propionate (f), pyroglutamate (g), pyruvate (h), succinate (i). Treatments: control—Al-untreated and uninoculated plants, D39—inoculated with Cupriavidus sp. D39, Al—treated with 80 µM AlCl3, D39 + Al—inoculated with Cupriavidus sp. D39 and treated with 80 µM AlCl3. Vertical bars show standard errors. Different lowercase letters show significant differences between treatments (least-significant difference test, p < 0.05, n = 3). The # sign means not detected. DW stands for dry weight.
PMC10304612
plants-12-02334-g006.jpg
0.414617
780762c084244693ba35d524638dfacc
Exudation of total organic acids (a), amino acids (b), and sugars (c) by roots of cultivar Sparkle and E107 (brz) mutant inoculated with Cupriavidus sp. D39 and treated with aluminum. Treatments: control—Al-untreated and uninoculated plants, D39—inoculated with Cupriavidus sp. D39, Al—treated with 80 µM AlCl3, D39 + Al—inoculated with Cupriavidus sp. D39 and treated with 80 µM AlCl3. Vertical bars show standard errors. Different lowercase letters show significant differences between treatments (least-significant difference test, p < 0.05, n = 3). DW stands for dry weight.
PMC10304612
plants-12-02334-g007.jpg
0.499527
93067bdb01374b259d9a20c4ce45dc24
Exudation of amino acids by roots of cultivar Sparkle and E107 (brz) mutant inoculated with Cupriavidus sp. D39 and treated with aluminum. Amino acids: arginine (a), cysteine (b), GABA (c), glycine (d), histidine (e), isoleucine (f), leucine (g), lysine (h), methionine (i), phenylalanine (j), proline (k), serine (l), threonine (m), tryptophane (n), tyrosine (o). Treatments: control—Al-untreated and uninoculated plants, D39—inoculated with Cupriavidus sp. D39, Al—treated with 80 µM AlCl3, D39 + Al—inoculated with Cupriavidus sp. D39 and treated with 80 µM AlCl3. Vertical bars show standard errors. Different lowercase letters show significant differences between treatments (least-significant difference test, p < 0.05, n = 3). The # sign means not detected. DW stands for dry weight.
PMC10304612
plants-12-02334-g008.jpg
0.451997
2261f84d9348445a9f3cb7c8c99f6d10
Exudation of sugars by roots of cultivar Sparkle and E107 (brz) mutant inoculated with Cupriavidus sp. D39 and treated with aluminum. Sugars: arabinose (a), fructose (b), glucose (c), lactate (d), sucrose (e). Treatments: control—Al-untreated and uninoculated plants, D39—inoculated with Cupriavidus sp. D39, Al—treated with 80 µM AlCl3, D39 + Al—inoculated with Cupriavidus sp. D39 and treated with 80 µM AlCl3. Vertical bars show standard errors. Different lowercase letters show significant differences between treatments (least-significant difference test, p < 0.05, n = 3). The # sign means not detected. DW stands for dry weight.
PMC10304612
plants-12-02334-g009.jpg
0.41206
ca8f2e21d936407d87fe601431da9104
The amount of indole-3-acetic acid (a) and salicylic acid (b) in the nutrient solution where cultivar Sparkle and E107 (brz) mutant were cultivated. Treatments: control—Al-untreated and uninoculated plants, D39—inoculated with Cupriavidus sp. D39, Al—treated with 80 µM AlCl3, D39 + Al—inoculated with Cupriavidus sp. D39 and treated with 80 µM AlCl3. Vertical bars show standard errors. Different lowercase letters show significant differences between treatments (least-significant difference test, p < 0.05, n = 3). The # sign means not detected. DW stands for dry weight.
PMC10304612
plants-12-02334-g010.jpg
0.402624
dbc30991a96f4f76a92ac599c027274f
(a) Schematic of the simulation model. Atoms with perfect BCC structure are removed; the red atoms are the PKA atoms. (b) The atomic structure of the four GBs studied in this work. Atoms are colored according to the common neighbor analysis (CNA) parameter, the blue atoms are in perfect BCC structure, and the white atoms are in the GB plane. The misorientation angles of the GB are indicated, and the GB structural units are outlined by the yellow lines.
PMC10304943
materials-16-04414-g001.jpg
0.488543
4347d3e3ddc147e387dedfa52c4454fb
(a) The number of point defects produced as a function of simulation time in (310) single-crystal at different temperatures with PKA energy of 9 keV. (b–g) Snapshots of defect distributions in the (310) single-crystal at 300 K. The red atoms are interstitial atoms, and the blue atoms are vacancies.
PMC10304943
materials-16-04414-g002.jpg