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0.416484 | 934b5e251c2048c08ec98baa6cf87577 | Elemental mapping of (a) Al, (b) Si, (c) O, (d) C, (e) S, (f) N, (g) Sm and (h) combine of all elements for Sm-bis(PYT)@boehmite. | PMC10090185 | 41598_2023_33109_Fig5_HTML.jpg |
0.485062 | 85aec965dd0e4acb840fc9e882fdaf5b | TGA diagram of Sm-bis(PYT)@boehmite. | PMC10090185 | 41598_2023_33109_Fig6_HTML.jpg |
0.482274 | 39cb3f72fbd54e91b200694dec5521cb | Original XRD pattern of boehmite NPs (a), Observed peaks list from normal XRD pattern of boehmite NPs (b), standard pattern code 00-049-0133 of boehmite NPs (c), and standard pattern code 01-074-1895 of boehmite NPs (d). | PMC10090185 | 41598_2023_33109_Fig7_HTML.jpg |
0.482992 | b7a95ed553a34f0087603211d16d4edb | Normal XRD pattern of Sm-bis(PYT)@boehmite. | PMC10090185 | 41598_2023_33109_Fig8_HTML.jpg |
0.473741 | a5af93dcebd6460da21ffd413844343a | N2 adsorption–desorption isotherms of Sm-bis(PYT)@boehmite. | PMC10090185 | 41598_2023_33109_Fig9_HTML.jpg |
0.483623 | 6bede23d3d114748bbe9db3e3bc1e10d | Synthetic
pathway for modification of wheat straw lignin to obtain
the photopolymerizable macromonomer. | PMC10091419 | bm2c01505_0002.jpg |
0.455868 | 5c25d98bf1514ffd92bb1f322175d155 | Spectroscopy
results of PB1000, propoxylated lignin L-PO, and methacrylated
propoxylated lignin L-PO-MAC. (a) Quantitative 31P-NMR
spectra. The signal of the internal standard cyclohexanol (145 ppm)
is set to 1, and spectra are integrated with the following range:
carboxylic OH (133.5–136.5 ppm), phenolic OH (136.5–144.5
ppm), and aliphatic OH (145.2–150.0 ppm). A more detailed assignment
is given in Figure S4 and Table S3. (b)
ATIR spectra with the assignment of the characteristic peaks. | PMC10091419 | bm2c01505_0003.jpg |
0.427682 | 10f1ae7e5ec648568a35c6e8a3f23fe4 | Real-time-NIR-photorheology
experiments of L-PO-MAC formulations.
Exemplary photorheology curves of the L-PO-MAC master mixture with
2 wt % Ivocerin as PI: (a) Storage modulus G′
(−) and loss modulus G″ (- -). (b) The double bond conversion
DBC curve. Photorheology results of L-PO-MAC 4 formulations with different
amounts of PI. (c) Gel point tg and maximum
storage modulus G′max. (d) Double
bond conversion DBC at gel point tg and
final conversion DBCend (bottom). | PMC10091419 | bm2c01505_0004.jpg |
0.386589 | e40754d0314a46d79a9c115a45a9c445 | 3D-printing experiments:
CAD render (left), printed show part (middle),
and test specimen (right). Note: photos of the 3D-printed parts were
made under different light conditions (white and orange light laboratory
environment). The printed maple leaf has the same dark brown color
as the test specimen. The STL file is available free of charge on
the Thingiverse website.60 | PMC10091419 | bm2c01505_0005.jpg |
0.499903 | ea63716eeda1465481b8ea91cbcc1dab | DMTA results
of the printed L-PO-MAC specimen: (a) G′max and (b) tan δ curves. (c) The
ATR-IR signal of available double bonds before (−) and after
curing (−). (d) Tensile test results of the printed L-PO-MAC
specimen. | PMC10091419 | bm2c01505_0006.jpg |
0.42714 | 0771c3d6e2b841dcbd11551652f4e47c | SEM pictures
of 3D-printed show parts. | PMC10091419 | bm2c01505_0007.jpg |
0.430515 | 58623503b969473ca746f5a2e11e1417 | Linear relationships between average daily photosynthetic photon flux density (PPFD) and leaf traits of white spruce from the FTE (blue), Alaska and BRF (green), New York including specific leaf area (SLA; 4a; FTE n = 37; BRF n = 38), the ratio of chlorophyll a to chlorophyll b (Chla:Chlbarea; 4b; FTE n = 25; BRF n = 22), % nitrogen (4c; FTE n = 37; BRF n = 38), carotenoids (Cararea; 4d; FTE n = 25; BRF n = 22), nitrogen per leaf area (Narea; 4e; FTE n = 37; BRF n = 38) and the ratio of chlorophylls a+ b to carotenoids (Chl:Cararea; 4c; FTE n = 25; BRF n = 22). Light and dark colours at each location (BRF or FTE) represent high and low canopy positions, respectively. Parameter estimates of the linear mixed effects models, and statistical differences between slopes and intercepts are presented in Table 2. Regression lines are only shown for significant relationships (slope p < 0.05). Furthermore, included are boxplots by canopy position and location for each leaf trait. Different letters represent significant differences between locations and canopy positions (p < 0.05; Supporting Information: Tables S1 & S2). BRF, Black Rock Forest; FTE, forest tundra ecotone. [Color figure can be viewed at wileyonlinelibrary.com] | PMC10092832 | PCE-46-45-g001.jpg |
0.437472 | b6d9ca766588445dbc2ef25b7085edbe | Linear relationships between photosynthesis at 1500 µmol m−2s−1 (A
1500; 6a), maximum rate of carboxylation (V
cmax; 6b), respiration in the dark (R
D; 6c) and total pigment content (Chl + Cararea; 6d) versus nitrogen per leaf area (Narea) of white spruce from the FTE (blue), Alaska and BRF (green), New York. Light and dark colours at each location (BRF or FTE) represent high and low canopy positions, respectively. Parameter estimates of the linear mixed effects regression models, and statistical differences between slopes and intercepts are presented in Table 3 & Supporting Information: Table S3. Regression lines are only shown for significant relationships (slope p < 0.05). BRF, Black Rock Forest; FTE, forest tundra ecotone. [Color figure can be viewed at wileyonlinelibrary.com] | PMC10092832 | PCE-46-45-g002.jpg |
0.398069 | 9d1b9d2b857b475bb09eda3dd2657700 | Linear relationships between average daily photosynthetic photon flux density (PPFD) over the measurement campaign and area‐based foliar photosynthetic characteristics of white spruce from the FTE (blue), Alaska and BRF (green), New York including photosynthesis at 1500 µmol m−2s−1 (A
1500; 2a; FTE n = 38; BRF n = 33), apparent quantum yield (Φ; 2b; FTE n = 38; BRF n = 33), light saturation point (LSP; 2c; FTE n = 38; BRF n = 33), light compensation point (LCP; 2d; FTE n = 38; BRF n = 33), respiration in the dark (R
D; 2e; FTE n = 38; BRF n = 36) and respiration in the light (R
L; 2f; FTE n = 37; BRF n = 29). Light and dark colours at each location (BRF or FTE) represent high and low canopy positions, respectively. Parameter estimates of the linear mixed effects regression models, and statistical differences between slopes and intercepts are presented in Table 2. Regression lines are only shown for significant relationships (slope p < 0.05). Furthermore, included are boxplots by canopy position and location for each parameter. Different letters represent significant differences between locations and canopy positions (p < 0.05; Supporting Information: Tables S1 & S2). BRF, Black Rock Forest; FTE, forest tundra ecotone. [Color figure can be viewed at wileyonlinelibrary.com] | PMC10092832 | PCE-46-45-g003.jpg |
0.406685 | b051ffe15b764979867eb553e99dec8b | Linear relationships between photochemical reflectance index (PRI) and either average daily photosynthetic photon flux density (PPFD) (5a; FTE n = 30; BRF n = 34) or the ratio of chlorophylls a+ b to carotenoids (Chl:Cararea; 5b) of white spruce from the FTE (blue), Alaska and BRF (green), New York. Light and dark colours at each location (BRF or FTE) represent high and low canopy positions, respectively. Parameter estimates of the linear mixed effects regression models, and statistical differences between slopes and intercepts are presented in Table 2. Regression lines are only shown for significant relationships (slope p < 0.05). Furthermore, included are boxplots by canopy position and location for PRI. Different letters represent significant differences between locations and canopy positions (p < 0.05; Supporting Information: Tables S1 & S2). BRF, Black Rock Forest; FTE, forest tundra ecotone. [Color figure can be viewed at wileyonlinelibrary.com] | PMC10092832 | PCE-46-45-g004.jpg |
0.418435 | 025f589d9aa841c78b9ca0d747f00010 | Linear relationships between average daily photosynthetic photon flux density (PPFD) and foliar respiratory characteristics on an area basis of white spruce from the FTE (blue), Alaska and BRF (green), New York including the maximum rate of carboxylation (V
cmax; 3a; FTE n = 39; BRF n = 37), and the maximum electron transport rate (J
max; 3b; FTE n = 39; BRF n = 37). Light and dark colours at each location (BRF or FTE) represent high and low canopy positions, respectively. Parameter estimates of the linear mixed effects regression models, and statistical differences between slopes and intercepts are presented in Table 2. Regression lines are only shown for significant relationships (slope p < 0.05). Furthermore, included are boxplots by canopy position and location for each respiratory parameter. Different letters represent significant differences between locations and canopy positions (p < 0.05; Supporting Information: Tables S1 & S2). BRF, Black Rock Forest; FTE, forest tundra ecotone. [Color figure can be viewed at wileyonlinelibrary.com] | PMC10092832 | PCE-46-45-g005.jpg |
0.407027 | aa07f46c81fb4790a6519f5b9b537097 | (a) Average daily PPFD calculated from canopy photos over the study period (June to July) at the FTE, Alaska and BRF, New York. Ambient (above canopy) PPFD is shown in orange. Boxplots show the median and first and third quartiles. Whiskers display the range of groups with individual points representing outliers falling outside 1.5 times the interquartile range. Different letters represent significant differences between locations and canopy positions (p < 0.05). (b) Ambient PPFD projected from canopy photos during 1 day (4 July 2017) at both locations. (c) Air temperature (°C) measured at BRF and the FTE for June and July 2017. (d) Ambient PPFD measured from field instruments at BRF and the FTE for June and July 2017. Green and blue shaded areas in 1c and 1d denote the dates of the study campaigns at BRF and the FTE, respectively. BRF, Black Rock Forest; FTE, forest tundra ecotone; PPFD, photosynthetic photon flux density. [Color figure can be viewed at wileyonlinelibrary.com] | PMC10092832 | PCE-46-45-g006.jpg |
0.453243 | e0f1cbbb09864d4db7d046ca53411992 | Ratios of (a) maximum rate of carboxylation to respiration at 25°C from Griffin et al. (2022) (V
cmax/R
25) and (b) maximum electron transport rate to respiration at 25°C from Griffin et al. (2022) (J
max/R
25) of white spruce from high and low canopy positions at the FTE (blue), Alaska and BRF (green), New York. Boxplots show the median and first and third quartiles. Whiskers display the range of groups with individual points representing outliers falling outside 1.5 times the interquartile range. Different letters represent significant differences between locations and canopy positions (p < 0.05; Supporting Information: Tables S1 & S2). BRF, Black Rock Forest; FTE, forest tundra ecotone. [Color figure can be viewed at wileyonlinelibrary.com] | PMC10092832 | PCE-46-45-g007.jpg |
0.449596 | 2a7aab25e4964a768e384c3a89ee9c7c | Patterns of gene expression in Epstein-Barr virus (EBV) latency. Following initial infection, EBV establishes 4 common patterns of gene expression termed type 0 latency, type I latency, type II latency, and type III latency. No proteins are expressed in type 0 latency. In type I latency, Epstein–Barr nuclear antigen (EBNA) 1 is the only protein expressed. In type II latency, EBNA1, latent membrane protein (LMP) 1, and LMP2 are expressed. Type III latency features the expression of all EBV-associated latency proteins including EBNA1, EBNA2, EBNA3, EBNA-LP, LMP1, and LMP2. Notably, Epstein–Barr virus-encoded small RNAs (EBERs) are expressed in all forms of latency. | PMC10093459 | cancers-15-02133-g001.jpg |
0.511574 | c0eb0429b30b4c5b852f79469e2c6c8e | EBV-associated latent proteins and tumorigenesis. EBV latent proteins are strongly associated with tumorigenesis. For example, in diffuse large B-cell lymphoma (DLBCL), represented by dark gray in the figure, LMP1 inhibits BLIMP1 α and S1PR2. S1PR2 inhibition allows for increased PI3K signaling. It also cooperates with REL and EBLF1 to promote lymphomagenesis. EBNA2 inhibits miR-34a, which allows for increased expression of PDL1. In Hodgkin lymphoma, represented by blue in the figure, LMP1 stimulates CD137 activity through the PI3K/AKT/mTOR pathway. It also promotes expression of the chemokines CCL17 and CCL22. Furthermore, it promotes mutations that cause cells to more closely resemble HRS cells. LMP2A stimulates increased signaling through Syk/PI3K/NF-κB, which results in increased expression of the cytokine MIP-1α. EBNA1 inhibits SMAD2, which in turn decreases expression of the tumor repressor PTPRK. Activation of LMP1 in NK/T lymphoma, represented by green in the figure, increases expression of IL-15. It also mediates NF-κB activation, which in turn leads to increased expression of PGC1β and its target, the base excision repair enzyme OGG1. NF-κB also increases ELF4E expression, which promotes proliferation, migration, and invasion. Lastly, it inhibits miR-15a, which leads to increased Myb and cyclin D1 expression. Green arrows in the figure indicate that the next step in the pathway is upregulated while red arrows indicate inhibition of the next step. | PMC10093459 | cancers-15-02133-g002.jpg |
0.433183 | 01ac9b5cfe6a4966aa952d5a258be1ab | Grade 4 bilateral gynecomastia (according to Rohrich classification) with an asymmetric development of the glands. | PMC10093613 | diagnostics-13-01239-g001.jpg |
0.424148 | 680232d990cd41169470472c57208023 | Mammography findings (left and right breast). | PMC10093613 | diagnostics-13-01239-g002.jpg |
0.42963 | fed54febabc9460fb17085de71713376 | Intraoperative findings: (Above) The mass was deeply attached to the pectoralis major muscle fascia, and so it was difficult to identify a clean cleavage plan. An atypical appearance of mammary glands, partially indistinguishable from fat tissue, resulting in a single tough, dense mass with several small (<1 cm) orange calcified concretions, and fat necrosis areas. (Below) An atypical appearance of mammary glands, partially indistinguishable from fat tissue, resulting in a single dense mass with small orange calcified concretions, and fat necrosis areas as well. | PMC10093613 | diagnostics-13-01239-g003.jpg |
0.473126 | 7b32f64a510d4d0aa9af31168b3c1d2b | Appearance of excised breasts; size compared to a 15 cm measuring stick. | PMC10093613 | diagnostics-13-01239-g004.jpg |
0.41257 | 78bdc76d37c64b3892f3d23ef68e3b12 | The sixth-month postoperative clinical follow-up. | PMC10093613 | diagnostics-13-01239-g005.jpg |
0.456528 | 4fe3a03f4bdb4a559168021371c55890 | PRISMA flow diagram. | PMC10093613 | diagnostics-13-01239-g006.jpg |
0.477268 | c3b5d28a79aa41429d001ba908560d48 | Root system architecture (RSA) of maize. Different types of maize roots are represented in different colours. | PMC10093813 | ijms-24-06135-g001.jpg |
0.406868 | 4b887650c44c499fbc42f6cb402be985 | Frequency distribution of (a) population size used in the individual studies (blue bar chart); (b) LOD score of initial QTLs (red bar chart); (c) PVE (%) of initial QTLs (green bar chart) from the previous studies. | PMC10093813 | ijms-24-06135-g002.jpg |
0.393022 | 514aec5160d44d198b048a01455806fb | (a) Bar graph representing the differences in number of QTLs before (red bar) and after projection (blue bar). (b) Pie chart representing proportion of root QTLs in different colours used for projection. The pie chart starts from root angle (RA; 2.5%) and ends with root weight (RW; 20.7%). | PMC10093813 | ijms-24-06135-g003.jpg |
0.463517 | 18ef10f7e6e845e8be99ea7707ed642e | The distribution of different MQTLs on maize chromosomes. The explanation for different colours utilized to represent the MQTL is given at the bottom of the figure. | PMC10093813 | ijms-24-06135-g004.jpg |
0.531426 | fee0c9e57fc04b698acc3f4eeedd3aeb | Conserved genomic regions among maize (Zm), rice (Os) and sorghum (Sb) genomes. The outer circles represent the maize (yellow), rice (red), and sorghum (violet) chromosomes. The linking lines represent the syntenic regions of maize–rice and maize–sorghum. | PMC10093813 | ijms-24-06135-g005.jpg |
0.475583 | 9056aa58ced34fe8831b8ce71975e8db | Conserved regions among ortho-MQTLs in maize (Zm) and rice genomes (Os). The outer circles represent the maize (yellow) and rice (blue) chromosomes. The linking lines represent the syntenic regions of rice and maize. | PMC10093813 | ijms-24-06135-g006.jpg |
0.475648 | c516e9637c164362b167b1ea1516e24b | Schematic representation of the steps involved in the meta-QTL analysis conducted during the present study. | PMC10093813 | ijms-24-06135-g007.jpg |
0.403686 | fa863c9c79b0434a9dab7694f90eabfc | Distribution of maximum pressure on respective metatarsophalangeal joints (fraction index). | PMC10094411 | ijerph-20-05403-g001.jpg |
0.563885 | 6461a573183e46018c93adc6c17a077e | Pedobarographic test result of the propulsion line of the foot, with the return line (landing on the forefoot). | PMC10094411 | ijerph-20-05403-g002.jpg |
0.422052 | 45ba69a092a8427293c509cdb526fd6f | Pedobarography during standing—assessment of centre of gravity (front–back and left–right) in a standing posture (heel pressure = 45.9%, suggesting a forward shift of the centre of gravity). | PMC10094411 | ijerph-20-05403-g0A1.jpg |
0.416834 | 196147e817324d5cac9f09a4130edaa9 | Influence of MF on the frequency of polychromatophilic erythrocytes (PCE) with micronuclei (MN) in bone marrow of X-ray-irradiated mice: a Dose dependence of the effect of MF (3 or 30 mg/kg bw, administered i.p. after irradiation); b Dependence of the effect of MF (30 mg/kg bw, i.p.) on the time of its administration to mice relative to irradiation (before or after irradiation with 1.5 Gy). * – significantly different from intact and irradiated controls (p < 0.05, n = 5) | PMC10036983 | 210_2023_2466_Fig5_HTML.jpg |
0.4158 | e581afcc81144f29814d04c6b7eca080 | Phylogenetic trees of three HPV genotypes 58 (A), 31 (B) and 33 (C) based on alignments of the L1 genes. The trees were constructed in Mega 10 by using maximum likelihood/Kimura 2-parameter method and 1000 bootstrap replicates and the values greater than 70% are shown above the branches. The isolates from this study are shown with small black circles and remaining accession numbers are available HPV genotypes 31, 33, and 58 sequences in the Genbank as references. All HPV genotypes of this study are available in the NCBI database and Genbank accession numbers OQ412837-82, MT267729, MZ221065-73, and MZ221053-57 | PMC10037780 | 13027_2023_499_Fig1a_HTML.jpg |
0.411728 | e9986584db404f85a21b3e2dbfc6b787 | The L1 gene in reference genomes of HPV-58, -33, and -31 compared with that of HPV-16. Red = BC Loop, pink = DE Loop, blue = EF Loop, green = FG Loop, orange = HI Loop. The mutations in the understudied isolates are presented by brown boxes | PMC10037780 | 13027_2023_499_Fig2_HTML.jpg |
0.421075 | 46815138da684b708962384649c72cf5 | Crude accessible prey mass ranges (horizontal bars) of lion and cheetah plotted across demographic class and standardized masses (vertical lines) of the plains zebra (extracted from Clements et al. 2014; Kingdon et al. 2013) | PMC10038972 | 442_2023_5335_Fig1_HTML.jpg |
0.411318 | b0b78439af414ccea3474459d511869a | Lapalala Wilderness Reserve showing the eight transects (dotted lines) driven during the monthly prey transects in area A. A Southern section of Lapalala with predator and prey species. B Northern section of Lapalala with no predators. There is a wildlife-proof fence that separates the northern and southern sections, and the northern section was not used in the present study | PMC10038972 | 442_2023_5335_Fig2_HTML.jpg |
0.453868 | babdd844a52344a3b542e9c516da1e40 | Relative abundance (± SE) of herbivores (pooled across seasons) on Lapalala Wilderness Reserve during 2019–2020 | PMC10038972 | 442_2023_5335_Fig3_HTML.jpg |
0.430657 | 0c0d42c3a3e84663857a6f91a78c358e | Relative abundance (± SE) of demographic classes of the three most abundant prey species–impala, blue wildebeest, and plains zebra—on Lapalala Wilderness Reserve, during the a dry and b wet seasons of 2019–2020 | PMC10038972 | 442_2023_5335_Fig4_HTML.jpg |
0.456907 | e4e45b7a52cf4c61a2aa2aaa453c14e9 | Percentage contribution of prey species, pooled across seasons, to a cheetah and c lion diet and the demographic composition of prey killed by b cheetah and d lion on Lapalala Wilderness Reserve in 2019–2020 | PMC10038972 | 442_2023_5335_Fig5_HTML.jpg |
0.418621 | 0104ba8244664bb2bf51d383dc9c11a6 | Segmented relationship of cheetah (a and c) and lion (b and d) prey preference and the prey mass rank during the dry (orange) and wet (blue) seasons. The seasonally available body mass range (horizontal lines), divided into demographic classes (neonate: mass (kg) from 0 to 3 months old; juvenile: mass from 3 to 12 months old; sub-adult: mass from 12 months to age of sexual maturity; adult: mass from age of sexual maturity), of consumed prey are provided for reference | PMC10038972 | 442_2023_5335_Fig6_HTML.jpg |
0.480408 | 05d952a7c65040f08ea1c8d20da80e2d | General structure of Gram-negative PGN, with the main periplasmic hydrolase cleavage sites. The sugar backbone of PGN is composed of repeated MurNAc–GlcNAc dissacharides, constituting large glycan chains. These are elongated through the incorporation of new PGN units (disaccharide–pentapeptides) into the sacculus, performed by PBPs with a glycosyl transferase domain (yellow star, formation of β(1–4) glycosidic bonds]). Transpeptidation performed by PBPs enables the cross-linking (green horizontal bar) of lateral peptides (in turn linked to MurNAc), usually through a bond between the DAP of one peptide and the fourth d-Ala of the other (although cross-links between two DAPs, for instance, may also appear). The blue lightning bolt represents carboxypeptidase activity, usually performed by the same PBPs during the transpeptidation process, whereas the green lightning bolts represent different endopeptidase activity variants. The yellow lightning bolt represents the lytic tranglycosylase cleavage site, whereas the orange one represents N-acetylmuramyl-l-alanine amidase activity. Abbreviations: Ala: alanine; DAP: meso-di-aminopimelic acid; Glu: glutamic acid; GlcNAc: N-acetyl-glucosamine; MurNAc: N-acetyl-muramic acid; PBP: penicillin-binding protein; and PGN: peptidoglycan. | PMC10039701 | fuad010fig1.jpg |
0.415893 | 19131a8506184123bd87fd2414897b3a | General model for the regulation of β-lactamases under the control of LysR-type regulators, applicable for the intrinsic enzymes of P. aeruginosa, Enterobacteriaceae, BCC,S. maltophilia, and others. On the left side of the figure, the linkage between the LysR regulator (here called AmpR) function and PGN-derived fragments (muropeptides) is shown, including a basal situation, as well as induction and mutation-driven β-lactamase hyperproduction scenarios. The regularly generated muropeptides proceeding from a basal PGN turnover are represented as clear blue cubes. Those muropeptides differently appearing and accumulating in qualitative/quantitative terms during induction or in a mutational hyperproduction pathway are represented as white cubes. On the right side of the figure, the concomitant activation of the CreBC system contributing to AmpC-dependent resistance output is shown, displaying the particularities of S. maltophiliavs.P. aeruginosa. Abbreviations. OM: outer membrane; PGN: peptidoglycan; and IM: inner membrane. | PMC10039701 | fuad010fig2.jpg |
0.480348 | 0fcdccac87f5457fa0f384ceab14ea28 | General model for the BlrAB-dependent regulation of intrinsic β-lactamases in Aeromonas spp. Disaccharide-P5 stands for 1,6-anhydro–MurNAc–GlcNAc. Abbreviations. OM: outer membrane; PGN: peptidoglycan; IM: inner membrane; MurNAc: N-acetyl-muramic acid; and GlcNAc: N-acetyl-glucosamine. | PMC10039701 | fuad010fig3.jpg |
0.408564 | 7b67cfe947a14c4489020e2b4f1b1a18 | Representation of the different N-acetyl-glucosamine-dependent phenomena of bacterial virulence modulation in P. aeruginosa and E. coli, as an example of an external source of PGN fragments acting as regulatory signals. The red hexagons represent N-acetyl-glucosamine, whereas the green ones represent 1,6-anhydro-N-acetyl-muramic acid groups. The 6P or α1P tags represent the different N-acetyl-glucosamine phosphorylated derivatives. Abbreviations: SP: stem peptide linked to 1,6-anhydro-N-acetyl-muramic acid; GlcNAc: N-acetyl-glucosamine; OM: outer membrane; PGN: peptidoglycan; IM: inner membrane; and QS: quorum sensing. | PMC10039701 | fuad010fig4.jpg |
0.48972 | 3204a857690d4c4cbd3b6731bf5d188f | Overview breakdown of all recommendations | PMC10039768 | 12874_2023_1895_Fig1_HTML.jpg |
0.472009 | ef79a65a852d41bd80492b42a170e730 | Number of strong recommendations and percent of discordant by individual guidelines. Legend: Blue box—Strong recommendations; Orange line—% discordant | PMC10039768 | 12874_2023_1895_Fig2_HTML.jpg |
0.412562 | b0001acd07a641aebc35346908b92e96 | Three pulmonary vein flow waveform types. (A) Normal pulsatile pulmonary vein (PV) flow waveform. Systolic, diastolic, and reversal areas in during one cardiac cycle are shown. Further, the peak of each period is pointed out. (B) Pulsatile PV flow waveform that is seen in a typical atrial fibrillation patient. Systolic, diastolic, and reversal durations are marked. (C) PV flow waveform with no pulsatility. | PMC10040531 | fcvm-10-1070498-g001.jpg |
0.520448 | 23c9351e35b84805999f6b29bbfb7166 | Blood viscosity as a function of shear strain rate and hematocrit using Quemada viscosity model and Newtonian fluid model. The equivalent Newtonian viscosity of each hematocrit level was calculated based on the corresponding viscosity calculated using Quemada model at γ˙=2,000s−1. Hct: hematocrit. | PMC10040531 | fcvm-10-1070498-g002.jpg |
0.419992 | b639165cb75f4fc98bf696431509a498 | Three pulmonary vein flow waveform types and their relationship with the hemodynamic indices. Mean residence time and asymptotic concentration in left atrial appendage corresponding to different PV flow waveforms and cardiac outputs for a cohort of 25 patients. Data: Mean ± SD. | PMC10040531 | fcvm-10-1070498-g003.jpg |
0.405568 | 8bd73d6b8fd54a82ab90a8a9ca4b6ae1 | Mean residence time and asymptotic concentration inside left atrial appendage as a function of hematocrit using Newtonian and non-Newtonian models. Left atrial appendage mean residence time, LAA tm, LAA asymptotic concentration, C∞, increased as a function of cardiac output. Data: Mean ± SD. | PMC10040531 | fcvm-10-1070498-g004.jpg |
0.388994 | 65d39b2e395c4a3192fcd7c4107f0334 | Left atrial appendage mean residence time, LAA tm, and asymptotic concentration, C∞ as a function of simulation length. LAA tm and C∞ did not reach a steady state even after 30,000 s of simulation. Data: Mean ± SD. | PMC10040531 | fcvm-10-1070498-g005.jpg |
0.505428 | a04c910600d7441898c7c4b8d803e5b4 | Left atrial appendage mean residence time, LAA tm, and asymptotic concentration, C∞ rank order correlation coefficient as a function of the length of simulation. The Spearman rank order correlation coefficient, ρ, between the LAA tm and C∞ for the reference group using 30,000 s of simulation (ρ = 1, by definition) and LAA tm and C∞ calculated using smaller simulation lengths. | PMC10040531 | fcvm-10-1070498-g006.jpg |
0.443199 | 27c9e5e65315401bbc2892f5f00a77ad | Relationship between LAA tm and CHA2DS2-VASc score and visual representation of tracer washout in the LAA of four subjects. (A) The plot of CHA2DS2-VASc vs. tm reveals that a patient with a stroke (marked with diamond symbols) could potentially be overlooked if LA hemodynamics are not considered, as subject #4's tm values indicate a high risk of stroke. Subject #4 has a history of stroke, which is not reflected in their CHA2DS2-VASc score. However, tm values may be able to predict the risk of stroke. To evaluate the accuracy of CHA2DS2-VASc in predicting stroke, data points corresponding to previous strokes were excluded. Only 17 subjects are shown in this figure because complete physiological/clinical data were not available for the remaining 8 subjects. (B) Contours of tracer concentration at selected times show the tracer washout in each subject from most of the LAA, with the exception of the tip. Among these four subjects, Subject #2 had the simplest morphology, while Subjects #3 and #4 had more complex morphologies with multiple lobes, long LAA, and a sharp bend. | PMC10040531 | fcvm-10-1070498-g007.jpg |
0.427024 | 69aead84490c4f32a3e1345ac0cbeb81 | The “touch-and-view approach” (fluorescence of compress). The index finger of the hand shows the presence of fluorescence on the compress put in the axilla after the end of axilla surgery and as controlled by the NIRFI system as seen in the right-side black-and white picture. | PMC10040774 | fonc-13-1045495-g001.jpg |
0.527867 | bd2ae1e603094276822b17e1751c118b | Fluorescence in the drains after surgery (during hospitalization). Fluorescence of the axillary drain; see
Figure 3
. Fluorescence of the mammary drain: see
Figure 4
| PMC10040774 | fonc-13-1045495-g002.jpg |
0.475434 | b0ebef0947e84b18add45143afecbd63 | Fluorescence of axillary drain. | PMC10040774 | fonc-13-1045495-g003.jpg |
0.403922 | 7c30dabf2b254da6953cf89d38711dc6 | Fluorescence of mammary drain. | PMC10040774 | fonc-13-1045495-g004.jpg |
0.444579 | 1ed0ba99225844edad508a7cb03fe4f3 | Levels of attitudes and knowledge about biostatistics among the participating family medicine trainees | PMC10041313 | JFMPC-11-7015-g001.jpg |
0.427583 | 0d3a745bdd2744089ca5b55dee349ebe | The adjusted effects, as estimated through Poisson regression modelling, for background factors on attitudes towards biostatistics among a sample of family medicine trainees in Taif, Saudi Arabia | PMC10041313 | JFMPC-11-7015-g002.jpg |
0.541572 | dd7aedbe9ad14887944fddc767cda966 | The adjusted effects, as estimated through Poisson regression modelling, for background factors on knowledge about biostatistics among a sample of family medicine trainees in Taif, Saudi Arabia | PMC10041313 | JFMPC-11-7015-g003.jpg |
0.451024 | 5f448040626b49fd9a269591c2172a1d | Patiromer prescribing, adherence, and abandonment rates by region.n = patiromer patients (% total). Numbers 0–9 indicate the first digit of a region’s ZIP code. Abbreviations: ABR, abandonment rate; PDC2M, 60-day proportion of days covered; PDC6M, 6-month proportion of days covered. Adapted from iStock image. https://www.istockphoto.com/vector/united-states-of-america-map-us-blank-map-template-outline-usa-map-background-gm1301588831-393587962. | PMC10042334 | pone.0281775.g001.jpg |
0.462984 | b73b63b44d994a0bba3395bd1ed5b82f | 60-day and 6-month regression-adjusted PDC for continuous independent variables.***p<0.001; **p<0.01; *p<0.05; †p = 0.11; ‡p = 0.17. Abbreviations: PDC, proportion of days covered; USD, United States dollars. | PMC10042334 | pone.0281775.g002.jpg |
0.579542 | 6a53fce6e0ec4f1697f8790f6bf43ebe | Regression-adjusted abandonment rate for first patiromer prescriptions (all p<0.001).Abbreviations: USD, United States dollars. | PMC10042334 | pone.0281775.g003.jpg |
0.533496 | 1212a155e75148d0adbd09072d7bd9b9 | Flow–chart of enrollment and exclusion. | PMC10043386 | fphar-14-1093442-g001.jpg |
0.547871 | 417268bfee2343e3947adb35c9c6c2cb | Survival curves of in different treament groups for severe IgAN. | PMC10043386 | fphar-14-1093442-g002.jpg |
0.376341 | 8a58d80d082f45e9a4f4c3907ab92b34 | Kaplan-Meier survival curves showing (A) TTLP, (B) PFS, and (C) OS between the dogs treated with 3DCRT or IMRT. The median TTLP for dogs treated with 3DCRT or IMRT was 238 days and 179 days, respectively (p = 0.967). The median PFS for dogs treated with 3DCRT or IMRT was 228 and 175 days, respectively (p = 0.940). The median OS for 3DCRT or IMRT was 295 days and 312 days, respectively (p = 0.787). No significant differences were seen in TTLP, PFS and OS between the 3DCRT and IMRT groups. TTLP, time to local progression; PFS, progression-free survival; OS, overall survival; 3DCRT, 3-D conformal radiation therapy; IMRT, intensity-modulated radiation therapy. | PMC10043394 | fvets-10-1011949-g0001.jpg |
0.429291 | 2383b4041e384d86bfc8315dbfe6cb86 | SEM images of DASA polymers D1–3 (scale bar = 50 μm). | PMC10043757 | d2py01591a-f1.jpg |
0.424114 | 3b444a98a49041d58adc3d71ce39e7f0 | Photos of DASA-functionalised polymer microspheres (D1) in toluene. (A) After being left to swell and equilibrate in the dark for 24 h. (B) After 24 h of irradiation with white light. (C) After a further 24 h in the dark at room temperature. | PMC10043757 | d2py01591a-f2.jpg |
0.499503 | ebb6e01e62aa4281941e6860e4879f86 | UV-vis spectra and graphs showcasing the change in the DASA absorbance acquired in diffuse reflectance mode. DMs were suspended in toluene (0.15 mg mL−1) and left in the dark overnight. Irradiation source: ThorLabs LED array red (630 nm), 1.5 mW cm−2 at the sample. Normalised absorbance against time plots were fitted with a mono-exponential decay curve. (A–C) Selected spectra showing decrease in DASA absorbance band for D1–3 during irradiation. (D–F) Normalised absorbance against time plot for D1–3 during irradiation. Orange line shows mono-exponential fit curve. (G–I) Selected spectra showing increase in DASA absorbance band for D1–3 post-irradiation in the dark. (J–L) Normalised absorbance against time plot for D1–3 post-irradiation in the dark. Orange line shows mono-exponential fit curve. | PMC10043757 | d2py01591a-f3.jpg |
0.407515 | 7ffbff5f051f49d8bdff750572e45df3 | Nitrogen sorption isotherms of D2. (a) In their initial state, (b) after 4 h of white light irradiation, (c) after 24 h of white light irradiation. | PMC10043757 | d2py01591a-f4.jpg |
0.359379 | 4dbdfb99b140490f97d277b21ade6c0c | Photographs of aqueous dispersion of DMs as a function of DASA photoswitching. (a) Non-irradiated D2 in water. (b) D2 irradiated for 24 h with white light in water. (c) D2 irradiated for 6 h with white light in toluene, dried and dispersed in water. (d) D2 irradiated for 24 h with white light in toluene, dried and dispersed in water. (All sample concentrations were 1 mg mL−1 of D2.) | PMC10043757 | d2py01591a-f5.jpg |
0.420454 | b3b3d9f516554ace97ec85b9d4827263 | Partitioning of D2 in water (top)/chloroform (bottom) biphasic system. (A) Photographic stills from video: D2 without exposure to intense light source. Progression of D2 after vigorous mixing: full initial dispersion in the aqueous layer, to gradual re-entering into the chloroform layer. (B) Photographic stills from video: D2 which had been irradiated for 24 h in chloroform (1 mg mL−1) with white light prior. Progression of D2 after vigorous mixing: full dispersion in the aqueous layer, partial re-entering into the chloroform layer and seemingly stable emulsion formation. The aqueous phase contains Congo Red for clarity. | PMC10043757 | d2py01591a-f6.jpg |
0.405108 | 92680383062940ffbd1c6cdd97a230a1 | Distribution of bacteria (a,b) and fungi (c,d) in samples; (a,c) indicate composition at the phylum level and (b,d) indicate composition at the genus level. | PMC10044456 | animals-13-01058-g001.jpg |
0.444956 | ca804212c7a1430086a83afcf0b3accf | PCoA and LEfSe analysis of bacterial (a,b) and fungal (c,d) differences between PM2.5 samples. | PMC10044456 | animals-13-01058-g002.jpg |
0.446764 | 0b8c0254be414abc81b4ff011b12430e | Network of positive (a) and negative (b) correlations among bacteria (purple), fungi (brown) and environmental parameters (green). Note: The figure shows the relative abundance of the top 50 bacteria and fungi, and the size of the circle corresponds to the level of their relative abundance. The potentially harmful microorganisms and environmental variables were labeled. | PMC10044456 | animals-13-01058-g003.jpg |
0.480965 | 3faee84ed9ff4694a0645fbbae42c306 | Species composition of bacteria (a) and fungi (b) in PM2.5, feed and feces samples. | PMC10044456 | animals-13-01058-g004.jpg |
0.398504 | 9c333a78ae9b48bfb386241a77fa0d80 | Traceability analysis of bacteria (a) and fungi (b) by SourceTracker method. | PMC10044456 | animals-13-01058-g005.jpg |
0.438772 | b3ac6dd7c27b49dcb1e379ec1847e1a5 | Locations of the sampling areas (LI: Liguria; TU: Tuscany; LA: Latium; CT: Calabria; GT: Gulf of Taranto). Details of the sampling sites are reported in Table 1. | PMC10044643 | animals-13-01039-g001.jpg |
0.471449 | 44cb07c8eebe410087071493e1411ce0 | Percentage of items (N%) found in the stomach contents per age classes in the Latium population. | PMC10044643 | animals-13-01039-g002.jpg |
0.373329 | f63b2e05fb2040b4a459e1a6df3be860 | Frequency distribution by colour of plastic fragments found in the stomachs of blackmouth catsharks in the five populations studied. The colour of the bars corresponds to that of the plastics. | PMC10044643 | animals-13-01039-g003.jpg |
0.385414 | aa49485f4d8a4397a22afba654808397 | Frequency distribution by shapes of plastic fragments found in the stomachs of blackmouth catsharks in the five populations studied. | PMC10044643 | animals-13-01039-g004.jpg |
0.452113 | f95ea64d2c594ad9b59655651c256448 | Cluster analyses. The greatest similarity occurs for populations whose values are close to zero. The comparison is between the three macro-categories analysed at the family level with high similarity between the populations of Tuscany (TU) and Liguria (LI). The acronyms LA and CT refer to Latium and Calabria. | PMC10044643 | animals-13-01039-g005.jpg |
0.431623 | 06d9075c1aa44aa18c66fc9055ed967b | Cluster analyses in the population of Latium between age classes with greater similarities in the diets of sub-adults and adults. | PMC10044643 | animals-13-01039-g006.jpg |
0.489499 | faa7dd4336af487688253447aa0ed79b | Cluster analyses for plastic debris. (a) Similarities between plastics by shape and (b) the similarities between plastics by colour. | PMC10044643 | animals-13-01039-g007.jpg |
0.473219 | 32bfc1ed02af4537a3e3dcbe47180f41 | Melatonin, which is nocturnally produced in and secreted by the pineal gland and in a non-circadian manner by the mitochondria of other cells, including those that are components of the ovary, is proposed as a critical factor in protecting against premature infertility and reproductive cessation. Moreover, published evidence indicates that supplementation with melatonin delays ovarian aging in animals and lowers the frequency of infertility in humans. In reference to melatonin’s protective actions against reproductive collapse, the figure summarizes the multiple receptor-independent and receptor-dependent processes that interfere with especially oxidative stress-mediated ovarian deterioration with the critical cells undergoing apoptosis. In addition to directly scavenging ROS/RNS and indirectly lowering oxidative damage by upregulating antioxidative enzymes and downregulating pro-oxidant enzymes, melatonin binds redox reactive metal ions to limit the Fenton and Haber–Weiss reactions thereby reducing the production of the highly toxic hydroxyl radical. Red arrows indicate inhibition; green arrows indicate stimulation. The bottom panel illustrates what has come to be known as melatonin’s antioxidant cascade as a radical scavenger. Thus, not only is melatonin a direct radical scavenger, but so are its metabolites, cyclic 3-hydroxymelatonin (c3OHM), N-acetyl-N-formyl-5-methoxykynuramine (AFMK), N-acetyl-5-methoxykynuramine (AMK) and possibly others. Moreover, relative to some reactive species (ROS, reactive oxygen species: RNS, reactive nitrogen species), the metabolites are more effective scavengers than melatonin itself. 1O2 superoxide anion radical; H2O2, hydrogen peroxide; •OH, hydroxyl radical; NO•, nitric oxide; ONOO−, peroxynitrite anion; 1O2, singlet oxygen; LOO•, lipid peroxyl radical. MnSOD, manganese superoxide dismutase; CuSOD, copper superoxide dismutase; GPx, glutathione peroxidase; GR, glutathione reductase; CAT, catalase; γ-GC, gamma-glutamylcysteine synthase. | PMC10045124 | antioxidants-12-00695-g001.jpg |
0.454811 | 62b2447687094d15b5b1d3cb5be5771a | The top panels show the relationship between decreasing melatonin levels and the percent reduction in maximal fertility and the incidence of miscarriage as a function of age. At the time of menopause, total body melatonin levels have fallen to approximately half those in young, reproductively competent women. Among other functions, melatonin acts as a powerful direct radical scavenger and also indirectly reduces oxidative destruction by stimulating many antioxidative enzymes (see Figure 1). Considering the multiple protective actions of melatonin in limiting the accumulation of oxidatively damaged molecules during aging generally, it has often advanced as an anti-aging molecule. In the current report, we propose that the accumulated damage to key ovarian components due to the loss of this high-protective molecule contributes to infertility and reproductive cessation. The lower left panel summarizes some of the ovarian changes that have been reported when melatonin is not available in adequate amounts. Low levels of free radicals actually function as signalling molecules, but elevated levels mutilate DNA, proteins, lipids, etc. The majority of free radicals are produced in mitochondria; current evidence indicates that melatonin is synthesized in the mitochondria of ovarian cells so it is perfectly positioned to scavenge the continually produced reactants thereby providing protection against cellular dysfunction and infertility. | PMC10045124 | antioxidants-12-00695-g002.jpg |
0.53031 | 33ae92bb944048b88e60d82f4334e18d | A summary of free radical generation in mitochondria and the role of melatonin in mitigating oxidative damage and ovarian aging. Radicals are generated especially as a result of electron leakage from the electron transport chain in the inner mitochondrial membrane; the rogue electrons chemically reduce adjacent oxygen molecules to produce the superoxide anion radical (O2•−). This reactant is quickly dismutated by superoxide dismutase 2 (SOD2) to hydrogen peroxide (H2O2) or it couples with nitric oxide to produce the highly oxidizing peroxynitrite anion (ONOO−; not shown). H2O2 is converted to the hydroxyl (•OH) radical via the Haber–Weiss reaction, which is kinetically slow, or via the Fenton reaction, both of which require a transition metal such as ferrous iron (Fe2+). The •OH, along with other oxidants, damage molecules, which initiate apoptosis. The antioxidant, melatonin, which is synthesized by a number of ovarian cells, likely in the mitochondria, as well as pineal-derived melatonin which enters these organelles, chelates iron and other redox reactive transition metals. Via the activation of sirtuin 3 (SIRT3), melatonin also upregulates SOD2 and impacts mitochondrial dynamics in favor of renewing mitochondria. Finally, melatonin directly neutralizes •OH and the ONOO−. Via these combined actions, melatonin serves as a powerful protector of mitochondrial integrity and preserves optimal cellular function which delays ovarian aging. Melatonin also functions as an anti-inflammatory which, especially when chronic, compromises mitochondrial physiology leading to ovarian cell, including oocyte deterioration. Mitochondria produced melatonin also escapes these organelles to act on melatonin receptors (MT1) in the mitochondrial membrane, which reduces the release of cytochrome C (Cyto C) thereby inhibiting programmed cell death which would otherwise advance ovarian aging. Finally, in the event of ovarian cancer, melatonin impedes the synthesis of telomeres by reducing telomerase activity thus slowing cancer cell renewal. I-IV; mitochondrial complex. | PMC10045124 | antioxidants-12-00695-g003.jpg |
0.426611 | aaef43716a4b4a759c0ff8c457869790 | The role of HERVs in breast cancer. Evaluated treatments are marked in red. Abbreviations: Th1 = T helper cell 1, ER = estradiol receptor, PR = progesterone receptor, LTR = long terminal repeat, gag = group antigen (capsid), pol = polymerase, RT = reverse transcriptase, env = envelope. If not otherwise stated HERV-K = HML-2. | PMC10046157 | biomedicines-11-00936-g001.jpg |
0.480698 | 67a38de8f121452ea9515fe4ca2494b2 | The effects of HERV-K (HML-2) Np9, Rec, and Env proteins on oncogenesis. LTR = long terminal repeat, gag = group antigen (capsid), pol = polymerase, env = envelope, HERV-K = HML-2. | PMC10046157 | biomedicines-11-00936-g002.jpg |
0.454162 | 51f17a92ad154940835e9326330d7aeb | The role of HERVs in (a) lymphoma and (b) leukemia. Evaluated treatments are marked in red. Abbreviations: TF = transcription factor, HL = Hodgkin’s lymphoma, EBV = Epstein–Barr virus, CTCL = cutaneous T-cell lymphoma, DLBCL = diffuse large B-cell lymphoma, DNMT = DNA methyltransferases, HDAC = histone deacetylases, LTR = long terminal repeat, CML = chronic myelogenous leukemia, AML = acute myelogenous leukemia, B-CLL = B-cell chronic lymphocytic leukemia, vRNA = viral RNA, RT = reverse transcriptase, Env = envelope protein, TM = transmembrane domain, shNp9 = siRNA targeting np9, shFABP7 = siRNA targeting FABP7. If not otherwise stated HERV-K = HML-2. | PMC10046157 | biomedicines-11-00936-g003a.jpg |
0.457665 | 127ab331b8c5401d9a61f3b85c8adc41 | The role of HERVs in skin cancer. Evaluated treatments are marked in red. Abbreviations: LTR = long terminal repeat, gag = group antigen (capsid), pol = polymerase, RT = reverse transcriptase, env = envelope, lncRNA = long non-coding RNA, shBANCR = siRNA targeting BANCR. If not otherwise stated HERV-K = HML-2. | PMC10046157 | biomedicines-11-00936-g004.jpg |
0.463746 | 5ba3e680acc24df39a7693655a62b17e | The role of HERVs in genital cancers. Evaluated treatments are marked in red. Abbreviations: HDAC = histone deacetylases, Me = methylases, G9A = G9a methyltransferase, Pt = platinum treatment, HERV-K = HML-2. | PMC10046157 | biomedicines-11-00936-g005.jpg |
0.45316 | 6337e1e7917640e2bce37670a27f82c5 | The role of HERVs in colorectal cancer. Evaluated treatments are marked in red. Abbreviations: lncRNA = long non-coding RNA, LTR = long terminal repeat, gag = group antigen (capsid), pol = polymerase, env = envelope, HERV-K = HML-2. | PMC10046157 | biomedicines-11-00936-g006.jpg |
0.421381 | 988f32cd0f41407abaceec412403c30f | The role of HERVs in liver and endocrine cancers. Evaluated treatments are marked in red. Abbreviations: HBV = hepatitis B virus, MAPK = MAP kinase, ab = antibody, LTR = long terminal repeat, gag = group antigen (capsid), pol = polymerase, RT = reverse transcriptase, env = envelope, HERV-K = HML-2. | PMC10046157 | biomedicines-11-00936-g007.jpg |
0.468388 | 3212f4e712624e2baff4c4aa35bac696 | The role of HERVs in nervous system tumors. Evaluated treatments are marked in red. Abbreviations: K+ = potassium, Ca2+ = calcium, ab = antibody, LTR = long terminal repeat, gag = group antigen (capsid), pol = polymerase, RT = reverse transcriptase, env = envelope, HERV-K = HML-2. | PMC10046157 | biomedicines-11-00936-g008.jpg |
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