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0.396463
0f3ac48d789a40149c09f2697e80ed18
(a) Design details of 3 stage graded hexagon; (b) The test specimens produced by FFF 3D printing process [40]; (c) Plan used in the construction of pre-folded honeycomb [78].
PMC9608463
polymers-14-04267-g010.jpg
0.419017
5c0ecd9f62254bab99aeb821cd712856
Structure of the piezoelectric composite bi-laminated vibrator [82].
PMC9608463
polymers-14-04267-g011.jpg
0.456487
dddcf9a5ac85456ead3679bbf9af6471
The sequential recovery of the epoxy/polycaprolactone composite (A) Deformation from a temporary shape, (B) Deformation to temporary shape, (C) Deformation to a permanent shape [86], (D) Geometry and coordinate systems of sandwich plate with SMA hybrid composite faces [87].
PMC9608463
polymers-14-04267-g012.jpg
0.522302
d165be19756e4b2c8b83a868190236a9
(a) MR fluid sandwich beam; (b) Plane view of MR fluid layer [91].
PMC9608463
polymers-14-04267-g013.jpg
0.487022
daa594e84ca54dc5827fcdbe9fc173aa
(a) Sandwich plate with the elastomer part; (b) Vibrating sandwich plate subjected to a perpendicular magnetic field [96].
PMC9608463
polymers-14-04267-g014.jpg
0.522879
516ce309c86f4557b31682d77b1f42f3
(a) Electrorheological fluid (ERF) sandwich beam [103]; (b) Electrorheological elastomer (ERE) sandwich beam.
PMC9608463
polymers-14-04267-g015.jpg
0.498272
8dd0c797da854adcaf18f88adbfa5bb6
Classification of composite skin material.
PMC9608463
polymers-14-04267-g016.jpg
0.463739
fd9942a64df0423495062dfb60041ed2
(a) Heated press (1) manufacture setup (2) skin–core bond details of SS316L lattice core and CFRP skins [158], (b) Z-pinning technique [159], (c) Vacuum beg setup [160], (d) J-hooking technique [161], (e) Stitching technique [162], (f) Bolting technique [163], (g) Adhesive technique; (1) Adhesive gun; (2) Sandwich construction in out-of-plane; and (3) In-plane direction [110].
PMC9608463
polymers-14-04267-g017.jpg
0.459093
ff512037a9f94d57a72d6fb00a111156
(a) Compression test setup; (b) Specific energy absorption vs. cell size [171].
PMC9608463
polymers-14-04267-g018.jpg
0.463045
a9e421d0c6d64b08b474fee1a460bc6c
Stress vs. strain of (a) Thick-walled; (b) Thin-walled re-entrant honeycomb structure [173].
PMC9608463
polymers-14-04267-g019.jpg
0.409481
270df3323197409b82be68c45c0b7a9c
Deformation modes of (a) BD, (b) BS, (c) FD, (d) FS re-entrant tetra-kai-decahedral structure [174].
PMC9608463
polymers-14-04267-g020.jpg
0.40499
53d52446c2f043019ee5ed723f20b5b7
(a) Load displacement curve during three-point bending test; (b,c) Deformation mode of a sandwich specimen under three-point bending test [177].
PMC9608463
polymers-14-04267-g021.jpg
0.462763
2f60eea34fe84cb8bac59e546624cf83
(a–f) Out-of-plane orientation experimental and FEM impact results of the honeycomb and re-entrant sandwich beam at velocities of 2.236, 3.163, and 4.183 m/s [180].
PMC9608463
polymers-14-04267-g022.jpg
0.40678
01f88bcc838d42fd87c3efc12cfd1b59
Impacting responses and the corresponding failure process of the sandwich panels using the conical impactor with different impacting energies [181].
PMC9608463
polymers-14-04267-g023.jpg
0.450892
831396706eda4d57a285c356a2732ede
General and individual changes in body composition alteration and exercise training: (a,b) Body composition relative to the PRE8 timepoint of each participant; (c,d) Exercise training relative to the PRE8 timepoint of each participant; Dotted lines represent each participant, bars represent mean; n = 5 participants; Absolute values for body composition and exercise training are shown in Table S1.
PMC9608465
metabolites-12-00911-g001.jpg
0.389599
6f16d100f70043118aecc6eb44c95686
Dietary intake patterns at different levels: (a) Energy intake relative to the PRE8 timepoint of each participant, inclusive of diet and supplements (Table S2); Dotted lines represent each participant; Bars represent mean (n = 5 participants); (b) Contribution of macronutrients and carbohydrate types to energy intake; Black lines represent mean (n = 5 participants); Striped bars represent the acceptable macronutrient distribution range (AMDR) [45]; (c) Principal component analysis of food items; Vectors indicate the contribution of each food item to the diet; Ellipses indicate 95% confidence intervals of samples from each participant; Please see Figure S2 for a larger version of (c); (d) Serves of protein foods consumed as compared to the minimum recommended daily intake (MRDI) [46]; LC N-3 = long chain n-3 fatty acids; Serves of other food types are shown in Figure S1. Supplement intake is shown in Table S2.
PMC9608465
metabolites-12-00911-g002.jpg
0.52204
ebca68c15ebe4f82ad422f567a4b5c85
Shifts in gut microbial community composition within and between individuals: (a) Principal coordinate analysis ordination of weighted UniFrac distances; Connecting lines indicate shifts in microbial community composition across timepoints; (b) Weighted UniFrac distances relative to the PRE8 timepoint; Higher values indicate greater between-sample diversity; (c) Inverse Simpson index; Higher values indicate greater within-sample diversity; (d) Relative abundance of bacteria taxa grouped at phylum level; (e) Relative abundance of bacteria taxa grouped at genus level or the next lowest taxonomic assignment; [Square brackets] around taxa indicates uncertain taxon assignation.
PMC9608465
metabolites-12-00911-g003.jpg
0.468445
5993fb482ea2426686bdd4af5fc44cae
Circulating metabolites profiles differentiated by timepoint: Principal component analysis of (a) all metabolites; (b) metabolites significant by timepoint (Table S3); Ellipses indicate 95% confidence intervals of samples from each participant or timepoint; Vectors indicate the contribution of each metabolite to serum metabolite profiles; The PRE1 sample for P5 did not pass LC-MS quality control and was excluded from analysis.
PMC9608465
metabolites-12-00911-g004.jpg
0.480902
b293773ced6c40e0b6a280c9af9ecfd3
Radiological measurement of translational/angular slip. A, Preoperative standing lateral radiographs. The white arrow indicates translational slip and black arrows indicate anterior/posterior disc height. B, Preoperative extension radiographs. C, Postoperatively 6-weeks standing lateral radiographs. D, Last follow-up standing lateral radiographs. The black arrow indicates cage position from the anterior margin of the disc.
PMC9609541
10.1177_2192568221989295-fig1.jpg
0.379248
077960be6bb74322b59eec6efd50d31a
AndroidManifext.xml showing permissions.
PMC9609682
sensors-22-07928-g001.jpg
0.460839
9bda73c7ea724424b7776421e8dd1ab9
Malware Types.
PMC9609682
sensors-22-07928-g002.jpg
0.418443
3e66664b88fb4835a6f5729d2e5bb4d0
Methodology flowchart.
PMC9609682
sensors-22-07928-g003.jpg
0.409538
637a6712cbfe4b8cab834c472468a7d2
Identification of studies.
PMC9609682
sensors-22-07928-g004.jpg
0.470678
4e0d245348724a238103469e9e7b7fe5
Publications’ distribution per year.
PMC9609682
sensors-22-07928-g005.jpg
0.431258
92633831ac7d4a5380c3c9f45dea2d51
Distribution of the papers quality score basis.
PMC9609682
sensors-22-07928-g006.jpg
0.486001
4f24c1d57ab049628cfa812bdf2d47ca
Reported accuracy: ([16,17,18,19,20,21,23,24,25,26,27,28,29,30,31]).
PMC9609682
sensors-22-07928-g007.jpg
0.48165
806ac4b58d694ff48700913e2e0ad3be
Schematic diagram of indoor particle dynamic process with an air purifier in a space.
PMC9610078
toxics-10-00616-g001.jpg
0.431959
08f18ef6fcca435695fb0bfdf94dded8
Floor plan of three test houses ((a) A house, (b) B house, and (c) C house) and the layout of experimental devices. A yellow colored space of a living room with an entrance and a kitchen is confined as a test volume in this study.
PMC9610078
toxics-10-00616-g002a.jpg
0.452517
6060b97fa68b43678fcf4ecfc77e9ec3
A photo of the set experimental devices at the test house.
PMC9610078
toxics-10-00616-g003.jpg
0.545193
f1ada73acba34355810bdeba32c742b0
Air leakage flow rate in houses according to indoor envelope pressure for three test houses.
PMC9610078
toxics-10-00616-g004.jpg
0.457726
f225ccdaf2394d618586709862a3f9dc
CADRActual of an air purifier measured at a test house using the KCl test particles and outdoor atmospheric particles for (a) 0.3–1.0 μm particles and (b) 1.0–2.5 μm particles.
PMC9610078
toxics-10-00616-g005.jpg
0.403718
fc372031dce74b2497fbeaea80e5ef00
Normalized number concentration of 0.3–1.0 μm particles with operations of an air purifier on and off at two test houses according to time. Outdoor PM2.5 concentrations are in the range of (a) 40–60 μg/m3 and (b) 10–20 μg/m3.
PMC9610078
toxics-10-00616-g006.jpg
0.418963
c078315e99814f42b92c2d01d1c0dfac
Experimental and theoretical CADRActual of an air purifier for 0.3–1.0 μm particles at different outdoor PM2.5 concentrations. (a) is acquired with an air purifier off (CADRActual,off) (b) is with an air purifier on (CADRActual,on)and (c) is CADRActual (=CADRActual,on − CADRActual,off).
PMC9610078
toxics-10-00616-g007a.jpg
0.411991
3466643d0ef147adb4c5f12a93317ea2
Comparison of CADRActual to CADRAP (standard CADR) at (a) house A and (b) house B according to different outdoor PM2.5 level ranges.
PMC9610078
toxics-10-00616-g008a.jpg
0.395583
b82866fb77774e73ac55793b112d7128
Comparison of experimental and theoretical CADRActual to standard CADRAP at different PM2.5 concentrations according to ACH50 of houses.
PMC9610078
toxics-10-00616-g009.jpg
0.472851
20b21cd387d34f29977fabd7794978b6
Flow chart of the study datasets.
PMC9610133
nutrients-14-04290-g001.jpg
0.445616
067f6229ffca4537ae2a70d1d8d2a4a2
Comparison of the selection frequencies of users with type 2 diabetes mellitus for each nutritional cluster.
PMC9610133
nutrients-14-04290-g002.jpg
0.4465
e1897c389a084e05b5bd99298ced9ff2
GLP-1 and GLP-2 signaling and the interaction with the gut inflammatory network and gut microbiota. (A) GLP-1 and 2 are produced by L-cells via enzyme-mediated cleavage of proglucagon. These gut peptides exert diverse effects through binding to their specific receptors, GLP-1R and GLP-2R, respectively. (B) Intestine-specific functions of GLP-1 and -2 are essential to maintain intestine–microbiota–immune system interactions. Created with BioRender.com.
PMC9610230
microorganisms-10-02061-g001a.jpg
0.411771
d3731ef1a8e34b40b9d228a3c3cae0a5
A. japonica treatment attenuated Con A-induced acute liver injury. (A) Effect of EJA on serum ALT levels; (B) Effect of EJA on serum AST levels. (ns = nonsignificant, * p < 0.05, ** p < 0.01, and *** p < 0.001 among the compared groups. Student t-test was performed. EJA: A. japonica extract).
PMC9610646
metabolites-12-00981-g001.jpg
0.438603
5b3252830cb847d8ac917a785bf7d050
Histopathological observation (A) Control group; (B) Model group; (C) A. japonica low dose group; (D) A. japonica high dose group; and (E) Positive control group (Bifendate, BFD). Scale bar = 200 µm.
PMC9610646
metabolites-12-00981-g002.jpg
0.435218
5f81e44920194e2fb8c6d7c0ff24ef60
A. japonica alleviates the level of oxidative stress induced by acute liver injury. (A) MDA levels in rat liver tissues; (B) SOD activity in rat liver tissues, Student’s t-test was performed (ns: not significant, ** p < 0.01).
PMC9610646
metabolites-12-00981-g003.jpg
0.430478
b8a1352fc5cb40e889532f1355d71d13
Discrimination of plasma metabolic profiles in normal group (CNormal), model group (CModel), and EJA administered group. Plots of PCA scores (A) and PLS-DA scores; (B) in positive ion mode; Plots of PCA scores; (C) PLS-DA scores; and (D) in negative ion mode.
PMC9610646
metabolites-12-00981-g004.jpg
0.43297
f7bbf79f111f484ebd94d84a50b00326
Sample distribution of different groups in OPLS-DA mode. (A) the normal group and the model group in positive ion mode; (B) the normal group and the model group in negative ion mode; (C) the model group and the treatment group in positive ion mode; and (D) the model group and the treatment group in negative ion mode.
PMC9610646
metabolites-12-00981-g005.jpg
0.475441
acd92a2515894c619324766333f0f40b
Volcano plot of multiplier variation. (A) Volcano plot of change in the difference between control and model groups; (B) Volcano plot of the difference between the model group and the drug administration group. Note: Horizontal coordinates are multiples of change, vertical coordinates are t-test p-values.
PMC9610646
metabolites-12-00981-g006.jpg
0.535617
a1ea660eb6384b8ca2c3b97dedfeb0ab
(A) Venn diagram showing the overlapping metabolites in different groups; (B) differential metabolite correlation thermal images in positive ion mode; and (C) differential metabolite correlation thermal images in negative ion mode.
PMC9610646
metabolites-12-00981-g007.jpg
0.441794
786a0a847ae746fdb742501b77d379b1
Metabolic pathway analysis. (A) Enrichment analysis of normal group and model group. (B) Topology analysis of normal group and model group. (C) Enrichment analysis of model group and drug administration group. (D) Topological analysis of model group and drug administration group. Note: The horizontal coordinates of B and D are the ORA analysis p-values, with the blue area being significant (p < 0.05); the vertical coordinates are the topological analysis effects.
PMC9610646
metabolites-12-00981-g008.jpg
0.402389
38928e16d1924b45a9f9b00696084668
sTBI alters the lung microbial structure. (A,B): Analysis of alpha diversity of lung microbiota by Chao1 analysis and Simpson analysis, respectively. (C): PCoA plots of beta diversity in different groups. (D): Analysis of differences between groups based on permutational multivariate analysis of variance. (E–G): Relative abundance of lung microbiota at phylum, class and genus, respectively. Q: control group. T3h, T1d, T3d, T7d and T14d: 3 h, 1 d, 3 d, 7 d and 14 d after sTBI. * p < 0.05; ** p < 0.01; *** p < 0.001.
PMC9611479
microorganisms-10-02082-g001.jpg
0.431112
c27fc84e4f724affa6f92db4eb3b18dd
Species composition analysis of lung microbiota. (A): Heatmap analysis of relative abundances of gut microbiota at the genus level in different groups. (B): LEfSe analysis of lung microbiota. The histogram of the Linear discriminant analysis (LDA) scores illustrates the differentially abundant bacterial communities in the lung microbiota. The LDA score at log 10 > 3 is set as the threshold and the length of each bin, i.e., the LDA score represents the extent to which the bacterial biomarker differs among the groups. (C–T): Relative abundances of 18 significantly altered bacterial genera. Q: control group. T3h, T1d, T3d, T7d and T14d: 3 h, 1 d, 3 d, 7 d and 14 d after sTBI. * p < 0.05; ** p < 0.01; *** p < 0.001.
PMC9611479
microorganisms-10-02082-g002.jpg
0.449031
d0dbec799a37407a9bb554e13329c52f
sTBI induces gut microbiota dysbiosis. (A,B): Analysis of alpha diversity of gut microbiota by Chao1 analysis and Simpson analysis, respectively. (C): PCoA plots of beta diversity in different groups. (D): Analysis of differences between groups based on permutational multivariate analysis of variance. (E,F): Relative abundance of gut microbiota at phylum and genus, respectively. (G): LEfSe analysis of gut microbiota. The histogram of the Linear discriminant analysis (LDA) scores illustrates the differentially abundant bacterial communities in the gut microbiota. The LDA score at log 10 > 3 is set as the threshold and the length of each bin, i.e., the LDA score represents the extent to which the bacterial biomarker differs among the groups. (H): Heatmap analysis of relative abundances of gut microbiota at the genus level in different groups. (I–X): Relative abundances of 16 significantly altered bacterial genera. Q: control group. T3h, T1d, T3d, T7d and T14d: 3 h, 1 d, 3 d, 7 d and 14 d after sTBI. * p < 0.05; ** p < 0.01; *** p < 0.001.
PMC9611479
microorganisms-10-02082-g003.jpg
0.391746
b5ffe6d7f29b44df924b8a778117abc7
Lung injury and bacterial translocation and in mice after sTBI. (A): Lung HE staining. Q: control group. T3h, T1d, T3d, T7d and T14d: 3 h, 1 d, 3 d, 7 d and 14 d after sTBI. Scale bar = 100 μm. (B): Quantification of histological injury score. Data are depicted as mean ± SD with * p < 0.05 compared to Q, T3h, T1d, T3d by one-way ANOVA. (C): MPO activity of lung tissue. Q: control group. Data are depicted as mean ± SD with * p < 0.05 compared to Q, #p < 0.05 compared to Q, T3h, T1d, T3d, ° p < 0.05 compared to T7d by one-way ANOVA. (D): Levels of plasma LBP. a p < 0.05 compared to Q, b p < 0.05 compared to T3h, c p < 0.05 compared to T1d, d p < 0.05 compared to T3d, e p < 0.05 compared to T7d by one-way ANOVA. (E): Levels of plasma sCD14. a p < 0.05 compared to Q, b p < 0.05 compared to T3h, c p < 0.05 compared to T1d, d p < 0.05 compared to T7d by one-way ANOVA. (F): Levels of plasma zonulin. a p < 0.05 compared to Q, b p < 0.05 compared to T3h, c p < 0.05 compared to T1d, d p < 0.05 compared to T7d by one-way ANOVA. Q: control group. T3h, T1d, T3d, T7d and T14d: 3 h, 1 d, 3 d, 7 d and 14 d after sTBI. Data are depicted as mean ± SD. (G,H): SourceTracker identified lung microbiota contains bacteria from the gut microbiota. * p < 0.05; ** p < 0.01; *** p < 0.001.
PMC9611479
microorganisms-10-02082-g004.jpg
0.423996
17ebed2ee1244da5bdf85b53d078a34b
Paneth cells control gut microbiota and post-sTBI infection. (A): Intestinal lysozyme immunohistochemistry. Q: control group. T3h, T1d, T3d, T7d and T14d: 3 h, 1 d, 3 d, 7 d and 14 d after severe TBI. The black arrow indicated lysozyme. The Blue arrow indicates the villi of the small intestine. Scale bar = 200 μm. (B): The DAB staining intensity. * p < 0.05; ** p < 0.01; *** p < 0.001. (C): Apoptosis and lysozyme expression in the small intestine by Western Blot. C-caspase-3 indicated Cleaved caspase-3. (D): Cleaved caspase-3 at different time points after severe TBI. Data are depicted as mean ± SD with a p < 0.05 compared to Q, b p < 0.05 compared to T3h, c p < 0.05 compared to T1d, d p < 0.05 compared to T3d, e p < 0.05 compared to T7d by one-way ANOVA. (E): Lysozyme at different time points after severe TBI. Data are depicted as mean ± SD with a p < 0.05 compared to Q, b p < 0.05 compared to T3h, c p < 0.05 compared to T1d, d p < 0.05 compared to T3d by one-way ANOVA. (F): mLyz1 at different time points after severe TBI. Data are depicted as mean ± SD with a p < 0.05 compared to Q, b p < 0.05 compared to T3h, c p < 0.05 compared to T1d, d p < 0.05 compared to T3d, e p < 0.05 compared to T7d by one-way ANOVA. (G): mDefa6 at different time points after severe TBI. Data are depicted as mean ± SD with a p < 0.05 compared to Q, b p < 0.05 compared to T3h, c p < 0.05 compared to T1d by one-way ANOVA. (H): The correlation between intestinal apoptosis or antimicrobial peptides and gut dysbacteriosis or bacterial translocation by Spearman rank correlation coefficient. Red indicated a positive correlation. Blue indicated a negative correlation. Color depth indicates the strength of correlation. * p < 0.05; ** p < 0.01; *** p < 0.001.
PMC9611479
microorganisms-10-02082-g005.jpg
0.489103
c7c53a1dd45742b2bddc670a145f6fd8
Excitation (a, b) and emission spectra (a′, b′) for the blank of o-phthalaldehyde and sample (reaction product of ARP and CLZ with o-phthalaldehyde in borate buffer), respectively.
PMC9611627
pharmaceuticals-15-01174-g001.jpg
0.456863
4ef5fda2d175462fbd0503e75ef46040
Effect of pH of borate buffer on the relative fluorescence intensity of the reaction product of ARP and CLZ with o-phthalaldehyde.
PMC9611627
pharmaceuticals-15-01174-g002.jpg
0.509283
e3f273f8f04642e7b6c0a93493b555f5
Effect of concentration of o-phthalaldehyde, (0.1% w/v) on the fluorescence intensity of the reaction product of ARP and CLZ in borate buffer.
PMC9611627
pharmaceuticals-15-01174-g003.jpg
0.49552
0dddd83220f4452d8878f8491f165b57
Effect of volume of β-mercaptoethanol (1.0% v/v) on the fluorescence intensity of the reaction product of ARP and CLZ with o-phthalaldehyde in borate buffer.
PMC9611627
pharmaceuticals-15-01174-g004.jpg
0.454518
9968935707f54e19b42bc95da71613ee
Effect of reaction time on the relative fluorescence intensity of the reaction product of ARP and CLZ with o-phthalaldehyde.
PMC9611627
pharmaceuticals-15-01174-g005.jpg
0.476107
a5665fc93c014dc8ad4f72674d6f21f4
Emission spectra of o-phthalaldehyde with increasing ARP and CLZ concentrations (0.1–0.06 μg/mL) in buffer borate.
PMC9611627
pharmaceuticals-15-01174-g006.jpg
0.463526
476db63fd82a42ab8717887ad6b6872c
Proposed pathway of the reaction between ARP and o-phthalaldehyde in the presence of β-mercaptoethanol in a borate buffer.
PMC9611627
pharmaceuticals-15-01174-sch001.jpg
0.458327
4c68aadd3e52462182eda87afa2aaab9
Animal experiment scheme. Abbreviation: o.− oral immunization; ip.− intraperitoneal immunization; B−FrVI− barley fraction VI proteins.
PMC9611736
nutrients-14-04371-g001.jpg
0.461691
8ac2a396e0194a3bb84f84b71e9b1c75
The barley crude extract (A) SDS-PAGE profile and (B) IgE immunoreactivity. Abbreviations: LMWM—low range molecular weight marker; cBP—crude extract of barley proteins; nA-PS—sera from patients non-allergic to food; FA-PS-sera from patients allergic to food. The mean OD value ± SD was considered positive (assigned with +) if it exceeded the mean of the negative controls (nA-PS) by more than three standard deviations.
PMC9611736
nutrients-14-04371-g002.jpg
0.448293
f631ca59604643e8803edd0e4a7a0f7a
(A) Elution profiles of crude protein extract (cBP) from barley grains on the ion-exchange DEAE-Sepharose column; (B) SDS-PAGE protein patterns of eluted fractions I–VI (MWS, molecular weight standard); and (C) the IgE immunoreactivity of barley fractions I–VI. The OD value was considered a positive response with food-allergic patients’ serum (+) if it exceeded the mean of the controls (non-allergic patients’ serum) by more than three standard deviation values.
PMC9611736
nutrients-14-04371-g003.jpg
0.426434
19e861fb75d34ef8a7e244cae5c64226
The humoral immune response of Balb/c mice to barley fraction VI (B–FrVI) to: (A) specific serum IgG; (B) specific serum IgA; and (C) specific IgA in fecal extracts. Mice were divided into three groups: sensitized (ip.B–FrVI, black bars), gavaged with antigen (o.B–FrVI, light grey bars), and PBS treated as control (PBS, dark grey bars). Data are expressed as the mean ± SD from the group (n = 6). Two-way ANOVA performed the statistical analysis. Statistical differences were assigned * for p < 0.05; ** for p < 0.01; *** for p < 0.001; and **** for p < 0.0001.
PMC9611736
nutrients-14-04371-g004.jpg
0.444912
0042b1665ed541fcbef8a3bad78754b4
The (A) IgG and (B) IgA APC responses by Balb/c mice intraperitoneally (ip.B-FrVI) or orally (o.B-FrVI) sensitized with barley fraction VI, and by the control PBS-treated group (PBS). Splenocytes were isolated at the end of experiment from each group (n = 6) and set for B-cell ELISpot assay. The bars represent the mean of the group (n = 6) ± SD. Two-way ANOVA performed the statistical analysis. Statistical differences were assigned **** for p < 0.001.
PMC9611736
nutrients-14-04371-g005.jpg
0.378705
a6035e1a3a6c4927b305cfdecc985ad3
The (A) proliferation assays of splenocytes and (B) mesenteric lymph node lymphocytes after stimulation with B-FrVI, beer liophylisate (Beer), or growing in medium only (Con). Two-way ANOVA with Tukey’s test was used to determine the statistical differences. Bars represent the mean of the group (n = 5) ± SD. The mean values with different superscripts were different at p < 0.001.
PMC9611736
nutrients-14-04371-g006.jpg
0.441703
488be974dc77462c8ad45ee496809fd8
Schematic block diagram of the PLE system.
PMC9611940
sensors-22-07775-g001.jpg
0.403502
b99f9e730969485a95b8f47e4070d674
WPT system architecture with external transmitter (Tx) and implanted receiver (Rx) coil and temperature-sense-probe units.
PMC9611940
sensors-22-07775-g002.jpg
0.430906
6628ef2296234147b5f7843557ab7454
An illustration of thin and flexible coils with the position of the twelve NTC thermistors (numbered 1 to 12) adhered on the coil surface.
PMC9611940
sensors-22-07775-g003.jpg
0.429755
e157f75e88874486a6257da555a03496
An in vivo measurement setup: (a) implanted coils underneath the skin, and (b) primary coils adhered above the skin.
PMC9611940
sensors-22-07775-g004.jpg
0.43828
1d0968483fc34e5eb639551c65337231
Constructed geometry in COMSOL for in silico model (Symmetry at r = 0).
PMC9611940
sensors-22-07775-g005.jpg
0.493666
cb54a9916ee44b6a81f6a179a3ade085
The geometry after applying the meshes.
PMC9611940
sensors-22-07775-g006.jpg
0.49645
1760b0d0fcc44089a3359f2502c829c4
An in vivo temperature measurement from the implanted coil: (a) baseline temperature (power is OFF), (b) pulsed transmission (5 W LVAD), (c) continuous transmission (5 W LVAD), and (d) average temperature calculated from (b,c) in pulsed and continuous transmissions (for 5 W rated LVAD).
PMC9611940
sensors-22-07775-g007.jpg
0.435907
c8cdaceacdb84545a8d1ad4efb23ae95
In vivo temperature measurements from the implanted coils: (a) 2.5 W, (b) 5 W, (c) 6 W, and (d) 8 W power rated LVAD (semi-log scale).
PMC9611940
sensors-22-07775-g008.jpg
0.396634
a628cc89924e4595b2964556e097693a
In vivo and cadaver temperature measurements from channel 1 (implanted) during pulsed and continuous transmission.
PMC9611940
sensors-22-07775-g009.jpg
0.412102
13f7e25914744186ab58d649fefbf85a
Average relative temperature change (ΔT) in the subcutaneous tissues vs. power delivered to the load in pulsed and continuous transmission protocols from the in vivo measurements with power levels of 2.5 W, 5 W, 6 W, and 8 W.
PMC9611940
sensors-22-07775-g010.jpg
0.440337
96b02ea2a7a24c21bbf1f4db554e3350
Maximum average temperature changes for in vivo and cadaver measurements at 5 W LVAD under pulsed and continuous transmission protocols (channel 1 and channel 2).
PMC9611940
sensors-22-07775-g011.jpg
0.554631
db16cd055dcc445fa6326a37e9d22be9
(a) Generated point graph from the simulated results above the implanted coil surface for 5 W LVAD, and (b) the position of the point.
PMC9611940
sensors-22-07775-g012.jpg
0.425432
b852623675064161be079a828a877040
Contour plots of thermal analysis: (a) pulsed and (b) continuous transmission modes for 2.5 W LVAD.
PMC9611940
sensors-22-07775-g013.jpg
0.488213
18fc819184f145ac82aa15b0af2d9a65
Contour plots of thermal analysis: (a) pulsed and (b) continuous transmission modes for 5 W LVAD.
PMC9611940
sensors-22-07775-g014.jpg
0.556972
aa03b53de71a49eab39be747aacf1663
Contour plots of thermal analysis: (a) pulsed and (b) continuous transmission modes for 8 W LVAD.
PMC9611940
sensors-22-07775-g015.jpg
0.391437
ffc4d0a29d4d430186f7f38647cc2106
Two-dimensional transesophageal echocardiography of the tumour in the left ventricle and papillary muscle at the base of the anterolateral papillary muscle (orange arrow, tumour; blue arrow, anterolateral papillary muscle).
PMC9612093
medicina-58-01404-g001.jpg
0.449092
91cb6651268544ca971ba08b143eb728
Cardiac magnetic resonance image of the tumour in the left ventricle and papillary muscle at the base of the anterolateral papillary muscle (white arrow, left ventricle tumour); RV, right ventricle; LV, left ventricle.
PMC9612093
medicina-58-01404-g002.jpg
0.473906
fd0a2085bed341a080b4bc63bdf27895
Left ventricle tumour implanted at the base of the anterolateral papillary muscle (blue arrow).
PMC9612093
medicina-58-01404-g003.jpg
0.437818
942523aff7dc48158d311dab65bb775c
Intraoperative image of the excised tumour.
PMC9612093
medicina-58-01404-g004.jpg
0.41348
ccb72ed7277e41609c4caba9ed362133
Tumoural proliferation with fusiform cells and myxoid stroma that infiltrate the myocardial fibres and mild degree of nuclear atypia.
PMC9612093
medicina-58-01404-g005.jpg
0.503764
fd91cbf577234febbd3e80f7ad151f21
Immunohistochemical examination showing S100 marker diffusely positive in the fusiform cells.
PMC9612093
medicina-58-01404-g006.jpg
0.427541
dd44f61096cd4a92b983638a826a53f6
Immunohistochemical examination showing CD34 marker positive in the vessels and the fusiform cells.
PMC9612093
medicina-58-01404-g007.jpg
0.508211
f388186d9a17417586e3699e3d87959c
Antimicrobial assay of MC_A and MC_B fractions against S. epidermidis 12228 and 35984 strains.
PMC9612225
molecules-27-07109-g001.jpg
0.530042
be79de1aa90a4ef8bd7f87068d8ad063
Purification and antimicrobial assessment of MC_A derived fractions (MC_A1, MC_A2, MC_A3) against S. epidermidis and S. aureus strains.
PMC9612225
molecules-27-07109-g002.jpg
0.471093
e93e95f745684c23b6098e5afb563689
Bactericidal activity of MC_A3 (panels (A,B)). Representative pictures of live/dead imaging of S. aureus MRSA after 4 μg/mL MC_A3 treatment (panels (C,D)). Cells were observed at 20× magnification (Iris Digita System, Twin Helix). After 24 h, control cells showed uptake of only acridine orange (C) (green fluorescence), while MC_A3-treated cells showed uptake of ethidium bromide (D) (red fluorescence).
PMC9612225
molecules-27-07109-g003.jpg
0.449336
1d4f81afb99b45748340fd67ed6cae60
Chemical structure of compounds 1–7, isolated from leaves of M. communis.
PMC9612225
molecules-27-07109-g004.jpg
0.439042
5c9410afd9ec4e94b9058e72706e2919
Selected NOESY correlation (A) and H–C long-range correlations (B) of compound 1 evidenced in and HMBC.
PMC9612225
molecules-27-07109-g005.jpg
0.48413
7e9697a484b14ebc9ae328e3192d0455
Key nOe correlation of compound 3 (top); expanded region of NOESY experiment of compound 3.
PMC9612225
molecules-27-07109-g006.jpg
0.393181
6eada86aaa514e8bb728e8dcb0bb0601
Purification and antimicrobial assessment of compounds (1, 3, 5) against S. epidermidis and S aureus strains.
PMC9612225
molecules-27-07109-g007.jpg
0.398711
44c72fc71a494222afa72acb9f0b02cc
PRISMA flowchart of the included studies.
PMC9612734
tju-48-1-41-g001.jpg
0.450271
b692bb3fb6dd4804bad8e195ec7852c4
Illustration of the pre-scanner training and in-scanner behavioural tasks.A) Both before and during fMRI, participants saw computer-generated images of two buildings with different wall-textures rendered onto their exterior surfaces. One building concealed a pile of virtual gold (reinforcement) and the location of this reward was perfectly determined by the combination of wall-textures shown. In the pre-scanner training phase, participants were tasked with learning the reward contingencies via trial-and-error. A left/right button press was required within 3 seconds of the start of each trial. Following this, a feedback animation was shown indicating whether the response was correct or not. During the in-scanner task, participants were required to respond to still images of the two buildings, yet no feedback was provided. B) A schematic illustration of the reward contingencies trained before scanning (i.e., the premise discriminations, red solid lines) and inferred inside the scanner (i.e., inferred discriminations, dashed lines). Letters denote unique wall textures and the greater than signs indicate the rewarded wall-texture in each premise discrimination. Taken together the 6 premise discriminations implied a 1-dimensional transitive hierarchy. Inferred discriminations did not involve the ends of the hierarchy (i.e., A and G) since such challenges can be solved by retrieving an explicitly trained (featural) contingency (e.g., recalling that A is always rewarded). As such, the set of inferred discriminations included three trials with a ‘transitive distance’ of Δ2, two trials with a transitive distance of Δ3, and one trial with a transitive distance of Δ4. Note that participants were trained on two independent transitive hierarchies on two separate days: one 24 hours before scanning, one immediately before scanning. While equivalent in structure, the contingencies learnt on each day involved entirely different wall-texture stimuli (counterbalanced across participants) which were never presented in the same trial. C) and D) On each day of training, premise trials were ordered in one of two ways: interleaved training involved presented all 6 premise discriminations in pseudorandom order such that there was a uniform probability (1/6) of encountering any one discrimination on a particular trial (panel C). In contrast, progressive training involved 6 epochs of different lengths that gradually introduced the discriminations whilst ensuring that, once a discrimination had been introduced, it was presented in all subsequent epochs (panel D).
PMC9612823
pcbi.1010566.g001.jpg
0.509951
9ce3e5e632d5400da38ee9d2d797bd2a
Humans show better generalisation following progressive training.A) Estimates of the probability of a correct response, Pr(correct), split by trial type (premise vs inferred) and experimental condition (training method and session). While participants showed comparable levels of performance on the premise discriminations across conditions (red bars), inference performance varied by training method with progressive learners showing much higher levels of accuracy (blue bars). B) On inference trials, behavioural performance was positively related to “transitive distance” (the degree of separation between discriminable features along the transitive hierarchy, see Fig 1B). While the correlation between transitive distance and performance was positive in all conditions, the association was most consistent for remote discriminations in the progressive training condition. C) Estimates of the mean response time (in seconds, correct responses only) split by trial type and experimental condition (as in panel A). Response times closely mirrored the probability of a correct response but showed an additional effect indicating that participants were faster at responding to remote contingencies (overall). D) Response times to inference trails by transitive distance. While not significant, in general, response times decreased as transitive distance increased. Individual data points reflect response times across all trials and participants, and error bars/lines represent 95% confidence intervals.
PMC9612823
pcbi.1010566.g002.jpg
0.369692
39dbdbd2c9ec4f7faf325551d30bc98d
Behavioural performance is suggestive of encoding-based generalisation mechanisms.This figure shows goodness-of-fit statistics per participant and condition for two models of inference performance (lower values indicate a better model fit). The AND model implements a general assumption of retrieval-based generalisation mechanisms—that inference requires retrieving multiple independent response contingencies in order to evaluate transitive relationships. In contrast, the OR model realises a general assumption of encoding-based generalisation; specifically, that inferences require the retrieval of a unified structural representation. In all conditions, average goodness-of-fit statistics were lowest for the OR model indicating that it was a better fit to the behavioural data (result qualified by a generalised linear mixed-effects model—see text).
PMC9612823
pcbi.1010566.g003.jpg
0.491113
a411e22fc1b74a3a9855e07bf944ca5a
Inference performance within- and across- experimental conditions is associated with univariate BOLD activity in the superior MPFC.Panels A and B show activity in the left superior MPFC. Panels C and D show activity in the right superior MPFC. Bar charts display mean response amplitudes to all in-scanner discriminations split by trial type (premise vs inferred) and experimental condition (training method and session). Scatter plots display mean response amplitudes to all inference trials (both recent and remote) as a function of inference performance, split by training method (interleaved vs progressive). In the left superior MPFC, a main effect of trial type indicated lower levels of BOLD activity on inference trails (panel A). This was superseded by a significant 3-way interaction indicating larger BOLD responses to inference trials in progressive learners who achieved high levels of inference performance (panel B). The right superior MPFC showed a significant 2-way interaction between trial type and training method. This indicated that BOLD responses in interleaved learners were lower on inference trials (relative to premise trials), but comparable to premise trials in progressive learners (panels C and D). Overall, these data indicate that the MPFC produced greater levels of BOLD activity whenever response accuracy is high. Individual data points indicate discrimination-specific BOLD estimates for each participant and error-bars indicate 95% confidence intervals.
PMC9612823
pcbi.1010566.g004.jpg
0.454379
9f9afd42a7204ebdacecc01b66cf3d93
Methods and results for the RSA.A) BOLD responses across voxels (v1, v2, etc.) for each in-scanner discrimination (A>B, B>D, etc.) were estimated in a set of 1st level models. These were linearly transformed into representations of specific wall-texture stimuli (A, B, C, etc.) via a least-squares decomposition procedure. Subsequently, BOLD similarity between wall-textures was estimated, Fisher-transformed, and entered into a mixed-effects model that implemented the RSA. Nuisance covariates accounted for trivial correlations between co-presented wall-textures and correlations resulting from the decomposition procedure. Effects of interest modelled the influence of condition, behavioural performance, and transitive distance. B) In the left hippocampus, transitive distance (i.e., the separation between wall-textures) was negatively correlated with BOLD similarity across all conditions. As such, this region appears to encode a structural representation of the transitive hierarchy that is not modulated by training method (i.e., interleaved vs progressive) or session (recent vs remote). C) The left superior MPFC exhibited a distance by session interaction suggesting that structural representations were only expressed for recently learnt contingencies. Individual datapoints indicate pairwise similarity estimates from all participants and shaded error-bars indicate 95% confidence intervals.
PMC9612823
pcbi.1010566.g005.jpg
0.449817
97404f6abe8d4edbb80f94bc81de2148
Associations between measures of behavioural performance and the magnitude of distance effects in the RSA.Solid trend lines depict the fitted fixed-effect relationship, while shaded error-bars indicate 95% confidence intervals. Note that negative distance effects (plotted above the dashed horizontal) represent the predicted association between transitive distance and BOLD pattern similarity. Individual datapoints depict participant-specific random slopes for each association. A) Distance effects in the left hippocampus were strongest when participants produced relatively low transitive slopes (less indicative of encoding-based generalisation). B) Distance effects in the left superior MPFC were only significant in the recent condition and were strongest when participants did not achieve high levels of inference performance. C) In contrast to the left hippocampus, distance effects in the right superior MPFC were most evident when participants produced relatively large transitive slopes (most indicative of encoding-based generalisation), yet this association was limited to the remote condition. Individual datapoints indicate estimated distance effects per participant and shaded error-bars indicate 95% confidence intervals.
PMC9612823
pcbi.1010566.g006.jpg