nopperl/pmc-image-text · Datasets at Hugging Face

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0.409618	4aef8b312ed84d51bd077733dfb97fcc	XRD patterns of ZIF-8, ZIF-8@RB and simulated ZIF-8.	PMC10005746	nanomaterials-13-00842-g003.jpg
0.419646	74000a5ee35045ffb376f23e4a5bffaa	SEM images of ZIF-8 (a,b) and ZIF-8@RB (c,d).	PMC10005746	nanomaterials-13-00842-g004.jpg
0.511557	547451a8bef54de386caa6ef45cd84d8	Nitrogen adsorption–desorption isotherms of ZIF-8 and ZIF-8@RB.	PMC10005746	nanomaterials-13-00842-g005.jpg
0.403485	bb8bd8ae0cf249f4becf7eb0b65c0854	Stability of ZIF-8@RB in different mediums.	PMC10005746	nanomaterials-13-00842-g006.jpg
0.455212	6ec8e319a6bc45d0af36b35233f1bbd6	Performance of ZIF-8 and ZIF-8@RB for the extraction of phenols from water.	PMC10005746	nanomaterials-13-00842-g007.jpg
0.448374	c7d7426a94774ad7b984313dcb7f64d3	Expression and identification of recombinant snow flea antifreeze peptide (rsfAFP) in E. coli BL21 (DE3). (a) Target protein purification profile. Lanes 1–2: loaded sample; lane 3: flow through; lanes 4–6: fractions eluted with 20 mM TBS buffer with 20, 50, and 250 mM imidazole, respectively; lanes 7–8: 2 μg and 4 μg BSA (66.4 kDa), respectively; (b) Enzymatic hydrolysis of fusion proteins with SUMO protease. L1: SUMO; L2: SUMO-rsfAFP; L3: Marker; (c) Thermal hysteresis activity of rsfAFP at different concentrations; (d) Optical images show the completely different growth behaviors and shapes of ice crystals with or without the addition of 0.5 mg/mL rsfAFP in PBS (20 mM, pH 7.4). The scale is 100 μm; (e) Time-dependent NMR microimaging of frozen aqueous solutions during melting as labeled in the top left frame. Solutions containing rsfAFP at concentration of 0.5 mg/mL dissolved in 20 mM TBS (labeled rsfAFP1 in the figure), 5 mM TBS (labeled rsfAFP2) and pure water (labeled rsfAFP3) are shown. Pure water was used as the negative control, and 1.0 mg/mL arginine and 10% glycerol were used as positive controls. In the proton density images, black represents solid ice, and white represents areas with high densities of mobile water.	PMC10006524	gr1.jpg
0.447843	6e0948ed6b9c40a18b833ce41181729d	Viability of S. thermophilus cells after freezing at −20 °C for 24 h and 2 freeze–thaw cycles with various cryoprotectants. (a) Survival rate and culture pH of S. thermophilus after incubation for 7 h; (b) growth curve of S. thermophilus; (c) acidification ability of S. thermophilus; (d) S. thermophilus metabolic activity with various cryoprotectants; (e) effects of various cryoprotectants on the activity of lactic dehydrogenase (LDH), β-galactosidase, pyruvate kinase (PK) and hexokinase (HK); (f) effects of cryoprotectants on ATPase in S. thermophilus under cold stress. Different letters on columns indicate significant different values (P < 0.05).	PMC10006524	gr2.jpg
0.444096	8f480a7694b94f9fa90a4fa9b80683c8	Effects of cryoprotectants on S. thermophilus apoptosis after freezing stress. (a) TUNEL staining; (b) FITC-VAD-FMK staining; (c) Annexin V-FITC/PI staining. (c-1) No cold-stress treatment and treatment with (c-2) 20 mM PBS (negative control), (c-3) 0.5 mg/mL rsfAFP, and (c-4) 10% (v/v) glycerol and (c-5) 1.0 mg/mL sucrose (positive controls). Q2-1: necrotic cells; Q2-2: late apoptotic cells; Q2-3: viable cells; Q2-4: early apoptotic cells.	PMC10006524	gr3.jpg
0.408276	8fcced7873464835b977ff3f1e8e478b	Cellular membrane properties of S. thermophilus after freezing at −20 °C for 24 h and 2 freeze–thaw cycles with different cryoprotectants. (a) RH123 probe fluorescence intensity indicating the cell membrane potential of S. thermophilus; (b) DPH fluorescence intensity indicating the cell membrane fluidity of S. thermophilus; (c) PI/CFDA fluorescence intensity indicating the cell membrane integrity of S. thermophilus; (d) Fluo-3/AM fluorescence intensity representing the intracellular calcium ion concentration; (e) Cryo-TEM of S. thermophilus cells treated with or without 0.5 mg/mL rsfAFP. The green, yellow and red arrows indicate cytoderm, cytomembrane and ice crystals, respectively. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)	PMC10006524	gr4.jpg
0.431558	94eb25e1986943fa838f7b9de96a48a2	In situ Raman spectroscopy analysis for the interaction between rsfAFP and extracellular ice at different temperatures. (a) and (b) Raman spectra of S. thermophilus suspended in PBS; (c) and (d) Raman spectra of 0.5 mg/mL rsfAFP; (e) and (f) S. thermophilus suspended in 0.5 mg/mL rsfAFP.	PMC10006524	gr5.jpg
0.420909	b460c0195373477f96f65d5fd1532fd1	Molecular docking simulations showing interactions of peptidoglycan and capsular polysaccharide (PDB: 1CAP) with rsfAFP (PDB: 2PNE). Visualization of the structure of rsfAFP and potential binding sites for (a) peptidoglycan and (b) capsular polysaccharide in rsfAFP. (c) General overview (left) and (d) magnified view (right) of the docking between rsfAFP and peptidoglycan; (e) general overview (left) and (f) magnified view (right) of the docking between rsfAFP and a capsular polysaccharide.	PMC10006524	gr6.jpg
0.426566	11be37e3ceaf413ab493150ecf21de61	Flow diagram of the review process supported by the StArt.	PMC10006531	gr1.jpg
0.425159	44311cf29f11454f88ae45f9f8fc37d6	Conceptual framework affecting the SMEs' performance.	PMC10006531	gr10.jpg
0.469113	089c212fb72b4d26858e5d53b74ca35e	Publications per country of affiliation of the first author.	PMC10006531	gr2.jpg
0.436541	063ddb61ecc248ab9be44e9fc873a090	Network of collaborations on the theme sustainable performance of SMEs.	PMC10006531	gr3.jpg
0.401962	8ae531ea79484f8baf0ae150c20836bd	Summarization of the answers for Questions 1 and 2 (from Data Extraction Form Fields). The number of analyzed elements is in parentheses after the percentage.	PMC10006531	gr4.jpg
0.425407	073c2a4a7b7f4faf931505fde8dba795	Summarization of the answers for Questions 3 and 4 (from Data Extraction Form Fields). The number of analyzed elements is in parentheses after the percentage.	PMC10006531	gr5.jpg
0.385323	7a859f36b77944d3aaa101d485f3932f	Summarization of the answers for Questions 5 (from Data Extraction Form Fields). The number of analyzed elements is in parentheses after the percentage.	PMC10006531	gr6.jpg
0.413926	3a0aed2008fd4e219873ab9d7406ca7b	Summarization of the answers for Questions 6 (from Data Extraction Form Fields).	PMC10006531	gr7.jpg
0.38329	9973c8ba7c0a4e2b879511337ae1daf9	Summarization of the answers for Questions 7 and 8 (from Data Extraction Form Fields). The number of analyzed elements is in parentheses after the percentage.	PMC10006531	gr8.jpg
0.385648	cbfadd596be94f27bcf30f7c3af33cbe	Summarization of the answers for Questions 9 and 10 (from Data Extraction Form Fields). The number of analyzed elements is in parentheses after the percentage.	PMC10006531	gr9.jpg
0.456357	9c0fbf6ea9cf4f9a807f3a4cdaca7f89	Toy network with a thermodynamically infeasible cycleThe network consists of two metabolites and four reactions, where v represents fluxes and g genes’ expression (A) When all reactions have equal gene expression values, Pheflux (dark gray) and SPOT (light gray) produce similar fluxome estimations (B) When g3 magnitude doubles every other reaction, SPOT cycles higher flux between metabolites than Pheflux (C) When g3 is one order of magnitude higher than any other reaction, SPOT only predicts flux cycling between metabolites, with no flux exchange. Conversely, even in this extreme case, Pheflux predicts flux exchange (D).	PMC10006673	gr1.jpg
0.513282	aec798dd26f54e9ea17978610f1f086d	Comparison of Pheflux, SPOT, and FBA+min ℓ2 estimations to experimental fluxomes of bacteria and yeastsThe dataset includes glycolysis and TCA cycle reactions for cultures using single carbon sources and the mixture glycerol-glucose for Y. lipolytica, and succinate-glutamate and malate-glucose for B. subtilis.	PMC10006673	gr2.jpg
0.386502	53705d895e074cd790c5dccfbf7465a9	E. coli core fluxes predictions under different scenarios. Carbon core fluxes computed by FBA+min l2 (A) and Pheflux (B). Genome-scale fluxes computed by FBA+min l2 (C) and Pheflux (D).	PMC10006673	gr3.jpg
0.490372	3e822870e0f3458fb6ac9fc9e91985cc	Fluxome estimations for normal and tumor cells for breast, kidney and bronchus-lung tissues.Pheflux estimated higher yields of glucose on lactate (vlac/vglc) on cancer compared to normal tissues.	PMC10006673	gr4.jpg
0.486639	53ee6409fb1a4feb8aedcfe7d456469b	Stage-specific fluxome estimations for normal and tumor cellsResults for kidney (A), breast (B) and bronchus-lung (C) tissues. For all cancer types, in all but stage IV (where sample sizes were not big enough to conduct statistical tests), Pheflux estimated higher yields of glucose on lactate (vlac/vglc) on cancer compared to normal tissues.	PMC10006673	gr5.jpg
0.379581	f981a62c91a947f9a447eccb8f795eb6	Differential use of metabolic pathways between normal and cancer tissuesThe relative use of a metabolic pathway (enrichment) between tumoral and normal cells is presented for all three cancer types (A). In all cancer types, the ratio between the fluxes of pyruvate that goes into the Krebs cycle versus lactate –computed as the flux ration between reaction LDH and PDHm– is always greater in tumoral cells (B). The metabolic pathways are coded as: Glycolysis/gluconeogenesis: GG; Oxidative phosphorylation: OXP; Pyruvate metabolism: PM; Glutamate metabolism: GM; Alanine and aspartate metabolism: AAM; CoA catabolism: CC; CoA synthesis: CS; Arginine and proline metabolism: APM; Tryptophan metabolism: TM; Citric acid cycle”: TCA; Nucleotide metabolism: NM; NAD metabolism: NAD; Fatty acid synthesis: FAS; Fatty acid oxidation: FAO; Cholesterol metabolism: CM; and Transport, mitochondrial: Mt. p-values (Mann-Whitney U test) are coded as: <0.0001: ∗∗∗; <0.01: ∗∗; and <0.05: ∗.	PMC10006673	gr6.jpg
0.418456	19e55889d84f48199111be85f9f79123	CPU times for different genome-scale metabolic networksSeveral transcriptomes per species were processed using Pheflux. The data points density for B. subtilis, E. coli, and H. sapiens is color-coded in the blue (low density) to red (high density) range, whereas the non-overlapping data points for S. stipitis, S. cerevisiae and Y. lipolytica are presented in black.	PMC10006673	gr7.jpg
0.457385	0cc1a717f52e4fe0ba7d2da04842ef20	Tissue Engineering Triad.	PMC10007057	polymers-15-01202-g001.jpg
0.452665	2e4dd71f58fd40a8ab9a56f3503dea87	Schematic representation of typical electrospinning system [144] ©2016 Yawen Li and Therese Bou-Akl. Originally published in “Chapter 6 Electrospinning in Tissue Engineering”from Book “Electrospinning—Material, Techniques, and Biomedical Applications” under Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0, accessed on 4 December 2022). Available from: https://doi.org/10.5772/65836, accessed on 4 December 2022.	PMC10007057	polymers-15-01202-g002.jpg
0.502322	4575aae39f41435e8b1ed322d9764dc0	Electrospinning techniques—Blend, Co-axial and emulsion electrospinning. Reproduced from reference [150] with permission from Royal Society of Chemistry.	PMC10007057	polymers-15-01202-g003.jpg
0.437861	d42fc499faa74d0da542c697d0555d5c	Geographic location of Oued Souhil experimental plot and surrounding area on a composite false color Sentinel 2 image (17 April 2017) (left) and Google Earth image (right).	PMC10007100	sensors-23-02823-g001.jpg
0.424478	4f1e43700ddb4b00a946d8613d6a66f3	5TE sensor installation in potato and barley plots.	PMC10007100	sensors-23-02823-g002.jpg
0.434559	ccfb92d1fd184f2dbfe9ab74c5b294bc	Schematic relationship between surface temperature and albedo in the S-SEBI algorithm (modified after [10]).	PMC10007100	sensors-23-02823-g003.jpg
0.414729	2499782b82284bb39345b3b230a83bc8	Example of an NDVI map and the corresponding scatter plot of albedo and surface temperature of sparse to full vegetation (NDVI > 0.3) around the experimental plot (NDVI and scatter from Landsat 8 image acquired on 28 February 2017).	PMC10007100	sensors-23-02823-g004a.jpg
0.451747	6d399bd8607549cb8d479e9e4ba6bdef	NDVI ranges from Landsat 8 and Sentinel 2 images and evaporative fraction range from S-SEBI in Oued Souhil plot.	PMC10007100	sensors-23-02823-g005.jpg
0.436791	3bece012a53d4779afccfac031d34b81	Variation of the ratio G0/Rn with different empirical formulas for irrigated potato (late and early growing seasons) and rainfed barley [36,37,38,39].	PMC10007100	sensors-23-02823-g006.jpg
0.455729	95be074dd4f4490caa74bd41ea969c9b	Comparison of ETa by HYDRUS-1D, S-SEBI based on Landsat 8 and FAO-56 scenarios for early and late potato growing seasons.	PMC10007100	sensors-23-02823-g007.jpg
0.429718	9746444c5484471aba5e41953ceaef6a	Root zone salinity variation for irrigated potato during two growing seasons for ETa–HP1 and ETa–HP2 scenarios.	PMC10007100	sensors-23-02823-g008.jpg
0.470463	849e60931a1044ff93c652ef62527919	Comparison of ETa by HYDRUS-1D, S-SEBI based on Landsat 8 and FAO-56 scenarios for rainfed barley.	PMC10007100	sensors-23-02823-g009.jpg
0.454424	636cf9f137a844d7913044883630dbb6	Extraction yields (η) obtained by ultrasonic extraction (UE; solvent H2O), Soxhlet extraction (SE; solvent EtOH), and supercritical fluid extraction (SFE; solvent scCO2, co-solvent EtOH) of avocado seed (AS).	PMC10007261	plants-12-01201-g001.jpg
0.383856	e1a7d2e4bcc64074bf9f1f69206b0ede	Content of total phenols (TPC), proanthocyanidins (PAC), and total proteins (PC) in AS extracts obtained by ultrasonic extraction (UE; solvent H2O), Soxhlet extraction (SE; solvent EtOH), and supercritical fluid extraction (SFE; solvent scCO2, co-solvent EtOH).	PMC10007261	plants-12-01201-g002.jpg
0.454537	75bb711da5e241c387cd18f444e0a940	Antioxidant activities of AS extracts obtained by ultrasonic extraction (UE; solvent H2O), Soxhlet extraction (SE; solvent EtOH), and supercritical fluid extraction (SFE; solvent scCO2, co-solvent EtOH).	PMC10007261	plants-12-01201-g003.jpg
0.418834	2d46c34b1e284496b37859f6d7176ab6	Microbial growth-inhibition rates (MGIRs) for AS extracts obtained by ultrasonic extraction (UE; solvent H2O), Soxhlet extraction (SE; solvent EtOH), and supercritical fluid extraction (SFE; solvent scCO2, co-solvent EtOH) using 70, 140, 210, 280, and 2780 μg sample per mL of selected Gram-negative bacteria suspension.	PMC10007261	plants-12-01201-g004a.jpg
0.443868	3004332577304df4a8b041d32efdfe45	Microbial growth-inhibition rates (MGIRs) for AS extracts obtained by ultrasonic extraction (UE; solvent H2O), Soxhlet extraction (SE; solvent EtOH), and supercritical fluid extraction (SFE; solvent scCO2, co-solvent EtOH) using 70, 140, 210, 280, and 2780 μg sample per mL of selected Gram-positive bacteria suspension.	PMC10007261	plants-12-01201-g005.jpg
0.408569	55fb6167e9fc4e1a9b974963857c6019	Microbial growth-inhibition rates (MGIRs) for AS extracts obtained by ultrasonic extraction (UE; solvent H2O), Soxhlet extraction (SE; solvent EtOH), and supercritical fluid extraction (SFE; solvent scCO2, co-solvent EtOH) using 70, 140, 210, 280, and 2780 μg sample per mL of C. albicans suspension.	PMC10007261	plants-12-01201-g006.jpg
0.389896	5bf3277113224f7ca8668f0974a6ad33	Prevalence (%) of use of integrative and complementary practices to Brazilian adults and older adults, according to level of education, income quintiles, and use of private health insurance. (n = 11,198 individuals)	PMC10008017	10389_2023_1869_Fig1_HTML.jpg
0.429707	bc0e391ac4c946418c7467c0463c4410	Mesenteric thickening on intraoperative ultrasound. *Thickening of the small bowel mesentery	PMC10008235	10151_2023_2760_Fig5_HTML.jpg
0.441975	7d951303ba9b4bcc9eea981d19a3356c	Proposed biosynthetic pathway of methiin, alliin, and isoalliin in Allium plants	PMC10008257	11418_2022_1631_Fig1_HTML.jpg
0.445331	508912a413b348f0a7a58c9a2199e809	The representative callus tissues established in this study. Callus tissues cultivated for 4 weeks after subculture are shown. a Onion cultivar ‘Sensyu’, line R5-1. b Onion cultivar ‘Getsurin’, line R2-2. c Welsh onion, line R5-5. d Chinese chive, line R8-B2	PMC10008257	11418_2022_1631_Fig2_HTML.jpg
0.388731	ae807b9895254826ac43411d4083e1c4	The levels of CSOs in the callus tissues and the intact plants. The content of methiin, alliin, and isoalliin in the callus tissues cultivated for 9 weeks after subculture, and the leaves and roots of 5-week-old onion cultivar ‘Sensyu’ (a) and onion cultivar ‘Getsurin’ (b), Welsh onion (c), and Chinese chive (d) was measured using LC–MS. The before-hyphen part of the callus tissue line’s name indicates the organ (L, leaf; R, root) and the phytohormone condition used for callus induction. For example, R1 indicates callus induced from roots under the condition of Pi-1. Among 11 callus tissues of Chinese chive tested, three callus tissues formed adventitious roots (AR). Leaf and root data from the intact plants represent the mean ± SD of five biological replicates	PMC10008257	11418_2022_1631_Fig3_HTML.jpg
0.421214	27d69a214254430da2adbd693a835c87	Alliinase activity in the callus tissues and the intact plants. Alliinase activity was measured for the protein extracted from the callus tissues cultivated for 9 weeks after subculture, and the leaves and roots of 5-week-old onion cultivar ‘Sensyu’ (a) and onion cultivar ‘Getsurin’ (b), Welsh onion (c), and Chinese chive (d). Leaf and root data from the intact plants represent the mean ± SD of five biological replicates	PMC10008257	11418_2022_1631_Fig4_HTML.jpg
0.564106	0f5acdf745d74e4b99af4395709a7fa7	Prevalence of different disabilities across sociodemographic characteristics. (A) Doughnut chart for the prevalence of different disabilities across the population in India based on NFHS-5 (N = 1,15,557). (B) Radar plot showing the prevalence pattern of different disabilities across age groups in India based on NFHS-5 (N = 1,15,557). (C) The prevalence pattern of different disabilities across educational statuses in India based on NFHS-5 (N = 1,15,557).	PMC10009251	fpubh-11-1036499-g0001.jpg
0.473662	3680615ec2b14b06a408c2d3c50328e8	Prevalence patterns of disability in India based on NFHS-5. (A) Overall prevalence pattern of disability in India, NFHS 5. (B) Distribution of locomotor disability in India, NFHS 5. (C) Distribution of mental disability in India, NFHS 5. (D) Distribution of speech disability in India, NFHS 5.	PMC10009251	fpubh-11-1036499-g0002.jpg
0.429749	22f8eb35302243fdb984280b7b573600	Disgust sensitivity and nausea and vomiting (mean, SE) in pregnant women before and during the COVID-19 pandemic — Stratified by parity.	PMC10009253	fpsyg-14-1015927-g001.jpg
0.454994	11ec3f60d41f4485b29bcf57886e745d	Effect of age on disgust sensitivity in pregnant women before and during the COVID-19 pandemic — Stratified by parity (fitted line for regression, confidence bands).	PMC10009253	fpsyg-14-1015927-g002.jpg
0.463635	3ee72ee862fe4e768ce23435725c38f1	Effect of age on nausea and vomiting in pregnant women before and during the COVID-19 pandemic — Stratified by parity (fitted line for regression, confidence bands).	PMC10009253	fpsyg-14-1015927-g003.jpg
0.497267	9dee0d6fcd714986a91a38efb35c4b79	Flow chart of the selection process.	PMC10009456	gr1.jpg
0.427369	84f4c59b8f6c458b95bebb46271f0711	Area at study.	PMC10010672	fpubh-11-996960-g0001.jpg
0.492532	6aafd1911cf94a05b1276092a841ff9b	Methodology flow chart.	PMC10010672	fpubh-11-996960-g0002.jpg
0.406314	8456475dcc22494a9dee84e4c44657f8	Mortality for malignant tumor of breast, 2008–2019. Relative risk (RR), by gender and class of municipal environmental indicator of waste risk (MRI). (A) Women; (B) men.	PMC10010672	fpubh-11-996960-g0003.jpg
0.466559	615c416334fe46c2852a504677226e95	Hospitalization for malignant tumor of breast [(A) women, (B) men] and testis (C) and for asthma [(D) women, (E) men], 2008–2019. Relative risk (RR), by gender and class of municipal environmental indicator of waste risk (MRI).	PMC10010672	fpubh-11-996960-g0004.jpg
0.564308	c665747284304bb5be88fc8aa3ec1692	Zero to 19-year-old people. Hospitalization for leukemias, 2008–2019 (A) and prevalence of preterm birth, 2013–2017 (B). Males and females combined. Relative risk (RR), by class of municipal environmental indicator of waste risk (MRI).	PMC10010672	fpubh-11-996960-g0005.jpg
0.395788	0b20c4769fc24708afcb2863e919c307	Some illegal waste dumping and burning sites in the study area.	PMC10010672	fpubh-11-996960-g0006.jpg
0.387821	23bd19d97e444ff996cc646cbefe4010	Receiver-operating characteristic (ROC) curves of major bleeding according to the ATRIA, CRUSADE, and ACUITY HORIZONS scores in the entire cohort and STEMI and non-STEMI subgroups. ACUITY-HORIZONS=Acute Catheterization and Urgent Intervention Triage strategY-Harmonizing Outcomes with Revascularization and Stents in Acute Myocardial Infarction; ATRIA=Anticoagulation and Risk Factors in Atrial Fibrillation; AUC=area under the curve; CI=confidence interval; CRUSADE=The Can Rapid Risk Stratification of Unstable Angina Patients Suppress Adverse Outcomes With Early Implementation of the ACC/AHA Guidelines.	PMC10010705	rbccv-38-01-0139-g01.jpg
0.549609	4a89b99a15184595aae8ba0015e8ca55	Proposed algorithm to solve the vaccine distribution problem.	PMC10011041	gr1_lrg.jpg
0.470552	2e98bfecb0364f71803290f40ab9c46f	Superstructure proposed for the allocation of potential vaccines among the different states in Mexico.	PMC10011041	gr2_lrg.jpg
0.42263	d423fcd84c734a8293784c5f1c4a9d9d	Purchased vaccines for all scenarios with different investment capacities in MM$ (252.42, 504.85, and 841.4).	PMC10011041	gr3_lrg.jpg
0.552021	b19e9ee11bb64a7d80b9af2d636248a1	Pareto solutions for the vaccines allocation with different distribution schemes (social welfare, Rawlsian, and Nash) and investment capacities in MM$ (scenario 1: without vaccines losses and weight factors equal to 1).	PMC10011041	gr4_lrg.jpg
0.49373	a8fb7f1c4bd34238b35c980ec68c9411	Pareto solutions for vaccine allocation with different distribution schemes (social welfare, Rawlsian, and Nash) and investment capacities in MM$ (scenario 2: considering vaccines losses and weight factors equal to 1).	PMC10011041	gr5_lrg.jpg
0.468406	fc882a09636e4d17882dab424cd42f9c	Pareto solutions for vaccine allocation with different distribution schemes (social welfare, Rawlsian, and Nash) and investment capacities in MM$ (scenario 3: considering vaccines losses and weight factors based on the COVID-19 traffic light).	PMC10011041	gr6_lrg.jpg
0.41258	7cf009f38c32487788995d550c93b726	Quercetin induce cell apoptosis through different ways. Quercetin induced c-cytochrome-dependent apoptosis and caspase-3. Also quercetin suppressed cell cycle in different phases and inhibited the phosphorylation of PI3K/Akt and mTOR. Co-treatment quercetin with some compounds improved the efficacy and increased apoptosis.	PMC10011078	fimmu-14-1077531-g001.jpg
0.482502	4853672bed614cf2a4ad27d619c40192	Quercetin had anti-tumor and anti-inflammatory effects. Quercetin declined inflammatory condition through decreasing VGEF-A, NO, iNOS. Also, It increased TSP-1 mRNA and protein expression to prevent angiogenesis and suppressed metastasis by reducing VEGF secretion. Vascular endothelial growth factor A (VEGF-A); Nitric oxide (NO); Inducible nitric oxide synthase (iNOS); Thrombospondin-1 (TSP-1).	PMC10011078	fimmu-14-1077531-g002.jpg
0.444921	36e49581d08e4366ad0138a70674002d	Annotated emotional arc of Harry Potter in Harry Potter and the Deathly Hallows, by J. K. Rowling.(Reproduced from [8] under Creative Commons Attribution 4.0 International License.)	PMC10011281	283_2022_10187_Fig1_HTML.jpg
0.430766	735d53c318ad4155aa5238f388f224cb	A graph and its adjacency matrix.	PMC10011281	283_2022_10187_Fig2_HTML.jpg
0.445337	6e1090200ba541ba8f55c6c607c63980	A multigraph and its adjacency matrix.	PMC10011281	283_2022_10187_Fig3_HTML.jpg
0.394363	13df8695d44d4088b7e4bab68ae6297b	Examples of degree distributions for random networks.	PMC10011281	283_2022_10187_Fig4_HTML.jpg
0.419686	b03704347e1942dcb09c5470d345a30d	Adjacency matrices from season 1 of Twin Peaks: graph (left) and multigraph (right).	PMC10011281	283_2022_10187_Fig5_HTML.jpg
0.477249	01dc860816e94a60b70f383054518800	Graphical representation of the Twin Peaks network: the black nodes are BC; the red are AD.	PMC10011281	283_2022_10187_Fig6_HTML.jpg
0.385078	beb56462ce7b40769a6d9f7ae8b5474d	The Dale Cooper effect.	PMC10011281	283_2022_10187_Fig7_HTML.jpg
0.51847	a8644cb3e0e949719d5b283676195645	Degree distribution in the Twin Peaks networks compared to random networks.	PMC10011281	283_2022_10187_Fig8_HTML.jpg
0.429548	413328c3cafa475699d8287ee5e3a99a	Clusters in the Twin Peaks network before (left) and after (right) removing law enforcement.	PMC10011281	283_2022_10187_Fig9_HTML.jpg
0.412417	657d11947bb646e3a498913298557abc	The SCARS Model: a machine learning tool for predicting survival and neurological outcomes in out-of-hospital cardiac arrest (OHCA). AUROC = area under the receiver operating curve.	PMC10011734	gr1.jpg
0.536349	23168a25863b4f738c4e9ab5b138ebad	Overview showing brain areas and functional roles of the two major ascending vestibular pathways. Vestibular afferents innervating the vestibular endorgans project to the vestibular nuclei (VN). VN neurons in turn project directly to the ventral posteriolateral (VPL) area of the thalamus and indirectly to the anterodorsal thalamic nucleus (ADN) via multiple brain areas (see “Anterior pathway processing”). While VPL neurons project to vestibular cortical areas that mediate self-motion perception. ADN neurons instead project to other areas such as the entorhinal and retrosplenial cortices that mediate computation of spatial orientation and are reviewed elsewhere (Cullen and Taube, 2017). Detailed diagrams of both pathways have been published previously (Cullen and Taube, 2017; Lopez and Blanke, 2011; Clark and Harvey, 2016). Abbreviations: VN: vestibular nuclei; VPL: ventral posteriolateral; ADN: anterodorsal thalamic nucleus.	PMC10011815	gr1.jpg
0.411014	589feebcc24f427bba172d8d1eb990b1	A) Top: Self-motion stimulus consisting of a sinewave whose amplitude increases linearly with time. Middle: VN response to this stimulus. Bottom: VPL response to this stimulus. Note that, while VN neurons respond with changes in firing rate whose amplitude increases with time, VPL neurons display contrast gain control, such that the amplitude modulation in their responses remains constant. B) Gain of VN (blue) and VPL (red) responses as a function of stimulus amplitude. While VN neural gain is constant, VPL neural gain decreases as a power law with increasing amplitude. C)Top: The inverse gain increases linearly with increasing amplitude for VPL. Bottom: Neural variability in VPL neurons first increases and then saturates with increasing amplitude. D) VPL neural discrimination threshold as a function of amplitude which is obtained by dividing the neural variability by the gain. The fact that neural variability saturates for larger amplitudes causes a deviation from Weber's law (dashed line), which qualitatively agrees with psychophysical studies (Mallery et al., 2010). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)	PMC10011815	gr2.jpg
0.479762	8976b1e71d8245a787ead1e0d33fdfbc	A) Top: Naturalistic (left) and artificial (right) time series. Note that naturalistic stimuli can reach much higher amplitudes than the artificial sinusoidal stimuli that have been typically used. Importantly, naturalistic stimuli contain a spectrum of frequencies (left inset) whereas sinusoidal stimuli only contain one frequency (right inset). Middle: VN responses (blue) to naturalistic (left) and artificial (right) stimulation. Note that, in both cases, the response leads (i.e., reaches its maximum before) the stimulus (dashed lines and blue arrows). Bottom: VPL responses to naturalistic (left) and artificial (right) stimulation. Note the important difference that, under naturalistic stimulation, VPL responses faithfully follow the stimulus waveform with no significant phase lead, whereas phase leads similar to those observed for VN are seen under artificial stimulation (dashed lines and red arrows). B)Top left: Gain increases with increasing frequency for VN during both artificial (dashed blue) and naturalistic (solid blue) stimulation. Note that both curves overlap and are offset here for clarity. Top right: Phase lead increases with increasing frequency for VN during artificial (dashed blue) and naturalistic (solid blue) stimulation. Note that both curves overlap and are offset here for clarity. Bottom left: While gain increases with increasing frequency for VPL during artificial stimulation (dashed red), gain was instead independent of frequency for VPL during naturalistic stimulation (solid red). Bottom right: While phase lead increases with increasing frequency for VPL during artificial (dashed red), no phase lead is seen during naturalistic stimulation (solid red). C) Optimal coding theory predicts that the neural tuning curve (right panel, black curve) should be related to the stimulus probability distribution (left panel, black curve) through integration. The actual tuning curve for VPL (right panel, red curve) better matches the optimal prediction (right panel, black curve) than the actual tuning curve for VN (right panel, blue curve). This indicates that VPL neurons are better optimized to encode naturalistic stimuli than VN neurons. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)	PMC10011815	gr3.jpg
0.457664	4f933f98c536452e82edc8a63de5ca17	A) Top: Stimulus waveforms during passive (left) and active (right) motion. Middle: VN responses during passive (left) and active (right) motion. Note that responses are attenuated during active motion, as can be ascertained by comparing the actual response (solid blue) to that predicted from passive motion (dashed blue) and is indicated by the blue arrow. Bottom: VPL responses during passive (left) and active (right) motion. Note that responses are attenuated during active motion, as can be ascertained by comparing the actual response (solid red) to that predicted from passive motion (dashed red) and is indicated by the red arrow. Note that VPL responses are in general more attenuated than those of VN. B) Bar graph showing % attenuation during active motion for vestibular afferents (left), VN (middle), and VPL (right). Note that afferent responses are not attenuated and that the bar is offset with respect to the x-axis for clarity. C) Schematic showing current hypotheses as to why responses of VN and VPL neurons are attenuated during active motion. Specifically, the efference copy of the motor command for voluntary movement is used to build an internal model of the expected consequences of movement that is then compared with actual proprioceptive feedback. If there is a match, then a cancellation signal that likely originates within the cerebellum is sent to VN. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)	PMC10011815	gr4.jpg
0.486877	d548dfa7c44b4d698197d55eedf35531	Diagnostic flowchart for patients planning surgery during the coronavirus disease 2019 pandemic. 1All coronavirus disease 2019 (COVID-19) positive or suspected patients requiring surgical intervention should be treated as positive cases until proven otherwise[17]. 2Patients with perioperative severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are at increased risk of death and pulmonary complications after surgery[20]. 3There is to date only limited evidence on the optimal timing of surgery after SARS-CoV-2 infection[19]. A prospective cohort study found that surgery performed ≥ 4 wk after a positive SARS-CoV-2 swab result may be associated with a lower risks of pulmonary complications and postoperative mortality[21]. COVID-19: Coronavirus disease 2019.	PMC10011991	WJCC-11-1434-g001.jpg
0.416722	d07aa749a9774564ae7792e48d43b74a	Schematic representation of changes in the choice of surgical techniques for the management of head and neck cancer during the coronavirus disease 2019 pandemic. COVID-19: Coronavirus disease 2019; ICU: Intensive care unit; FAMM: The facial artery musculomucosal.	PMC10011991	WJCC-11-1434-g002.jpg
0.431185	9dc158c6af124ee4a098006aeb4b577b	Illustration of the game structure.Participants A1 and B1 provide effort at a certain piece rate (in the example, A1 earns $12 per task and B1 earns $4), creating wealth and emissions. Participants A2 and B2 inherit the wealth of their predecessors and use it to mitigate climate change.	PMC10012302	41467_2023_37130_Fig1_HTML.jpg
0.414881	df2858f81bb54a0e809eff6612ba9e9e	Share of the climate mitigation costs paid by the proposer in the History treatment (blue crosses) and in the Baseline (red circles), across different levels of the proposer’s historical emissions.Each marker represents a different outcome created by a first-generation pair of participants. Blue and red solid lines indicate the best linear fit for the data; the 45° line indicates how costs would be divided if costs were always divided proportionally to historical emissions.	PMC10012302	41467_2023_37130_Fig2_HTML.jpg
0.438264	c2e46b4d73054096aa57c703558228c8	Study flow chart. IVF, in vitro fertilization; ICSI, intracytoplasmic sperm injection; FET, frozen–thawed embryo transfer; BMI, body mass index; GnRHa, gonadotropin-releasing hormone agonist; HRT, hormonal replacement therapy; PGT-A, preimplantation genetic testing for aneuploidy; TESE, testicular sperm extraction	PMC10012576	12884_2023_5491_Fig1_HTML.jpg
0.417397	19252df7129346f0840eb10ae1fa44df	Flow diagram illustrating the selection of patients in this study	PMC10012578	43019_2023_182_Fig1_HTML.jpg
0.448463	c779e412b2404d3b92d665b2cefd6f0e	Partial MMPRT. A An absolute MM extrusion (yellow line). B An ocarina sign. Note a multiple fiber bundle formation showing several condensed circles in triangular meniscal horn (yellow-dotted area). C Type B partial tear (arrowhead). D Transtibial pullout repair	PMC10012578	43019_2023_182_Fig2_HTML.jpg
0.426163	3b85d29467d8460dae05ae38c44e0930	Correlation between duration from onset to MRI examination and MM extrusion. A In the pullout repair group, the regression equation was linear: MM extrusion = 0.015 × duration + 2.908 mm (R2 = 0.54, P < 0.001, 0.462 mm/month increase). B No significant correlation between duration and MM extrusion was observed in the nonoperative management group	PMC10012578	43019_2023_182_Fig3_HTML.jpg
0.474045	08a468e45dfa466695581b1f8a009017	MM extrusion. A 62-year-old female patient in the pullout repair group. A Finding from the first MRI examination performed 5 days after the painful popping event. B A second MRI examination was performed 47 days after the onset of partial MMPRT. Yellow lines indicate MM extrusions	PMC10012578	43019_2023_182_Fig4_HTML.jpg
0.420278	faa9955266bd4ffa8df073f113a56a1f	(A) Rheoencephalography (REG) signal trend and (B) Poincaré plot reconstruction of a REG signal with time lag τ = 5 samples.	PMC10013012	fnetp-02-912733-g001.jpg
0.445209	c25d32825bf94d7aa82bcb0c3aacdb63	Evolution of SD1, SD2, SDratio, SDarea, CCM and R as a function of τ for the set of anesthesia states under analysis: Awake, LOC, Anes, BSR and LOC. Median values are graphed, together with the 25th and 75th quartiles represented with dashed lines.	PMC10013012	fnetp-02-912733-g002.jpg
0.496882	d383b35b2e1243b197a701159b39e81e	Statistical significance (p-values) obtained for the comparison of the median values of each Poincaré feature (SD1, SD2, SDratio, SDarea, CCM and R) among consecutive anesthesia states. The post hoc non-parametric paired samples Wilcoxon test was applied. Grey areas represent intervals in which the graphed parameter shows statistical significance of p-value<0.01.	PMC10013012	fnetp-02-912733-g003.jpg
0.46453	c82ed3ab61b34758ad67b4eed2b0ad9b	Clinical data recorded during anesthetic procedure: (A) qCON index, (B) EEG frequency bands, (C) propofol and remifentanil effect site concentrations (CePropo and CeRemi, respectively), (D) heart rate (HR) and mean arterial pressure (MAP) and (E) δmax and SDratio REG features.	PMC10013012	fnetp-02-912733-g004.jpg

0.409618

4aef8b312ed84d51bd077733dfb97fcc

XRD patterns of ZIF-8, ZIF-8@RB and simulated ZIF-8.

PMC10005746

nanomaterials-13-00842-g003.jpg

0.419646

74000a5ee35045ffb376f23e4a5bffaa

SEM images of ZIF-8 (a,b) and ZIF-8@RB (c,d).

PMC10005746

nanomaterials-13-00842-g004.jpg

0.511557

547451a8bef54de386caa6ef45cd84d8

Nitrogen adsorption–desorption isotherms of ZIF-8 and ZIF-8@RB.

PMC10005746

nanomaterials-13-00842-g005.jpg

0.403485

bb8bd8ae0cf249f4becf7eb0b65c0854

Stability of ZIF-8@RB in different mediums.

PMC10005746

nanomaterials-13-00842-g006.jpg

0.455212

6ec8e319a6bc45d0af36b35233f1bbd6

Performance of ZIF-8 and ZIF-8@RB for the extraction of phenols from water.

PMC10005746

nanomaterials-13-00842-g007.jpg

0.448374

c7d7426a94774ad7b984313dcb7f64d3

Expression and identification of recombinant snow flea antifreeze peptide (rsfAFP) in E. coli BL21 (DE3). (a) Target protein purification profile. Lanes 1–2: loaded sample; lane 3: flow through; lanes 4–6: fractions eluted with 20 mM TBS buffer with 20, 50, and 250 mM imidazole, respectively; lanes 7–8: 2 μg and 4 μg BSA (66.4 kDa), respectively; (b) Enzymatic hydrolysis of fusion proteins with SUMO protease. L1: SUMO; L2: SUMO-rsfAFP; L3: Marker; (c) Thermal hysteresis activity of rsfAFP at different concentrations; (d) Optical images show the completely different growth behaviors and shapes of ice crystals with or without the addition of 0.5 mg/mL rsfAFP in PBS (20 mM, pH 7.4). The scale is 100 μm; (e) Time-dependent NMR microimaging of frozen aqueous solutions during melting as labeled in the top left frame. Solutions containing rsfAFP at concentration of 0.5 mg/mL dissolved in 20 mM TBS (labeled rsfAFP1 in the figure), 5 mM TBS (labeled rsfAFP2) and pure water (labeled rsfAFP3) are shown. Pure water was used as the negative control, and 1.0 mg/mL arginine and 10% glycerol were used as positive controls. In the proton density images, black represents solid ice, and white represents areas with high densities of mobile water.

PMC10006524

gr1.jpg

0.447843

6e0948ed6b9c40a18b833ce41181729d

Viability of S. thermophilus cells after freezing at −20 °C for 24 h and 2 freeze–thaw cycles with various cryoprotectants. (a) Survival rate and culture pH of S. thermophilus after incubation for 7 h; (b) growth curve of S. thermophilus; (c) acidification ability of S. thermophilus; (d) S. thermophilus metabolic activity with various cryoprotectants; (e) effects of various cryoprotectants on the activity of lactic dehydrogenase (LDH), β-galactosidase, pyruvate kinase (PK) and hexokinase (HK); (f) effects of cryoprotectants on ATPase in S. thermophilus under cold stress. Different letters on columns indicate significant different values (P < 0.05).

PMC10006524

gr2.jpg

0.444096

8f480a7694b94f9fa90a4fa9b80683c8

Effects of cryoprotectants on S. thermophilus apoptosis after freezing stress. (a) TUNEL staining; (b) FITC-VAD-FMK staining; (c) Annexin V-FITC/PI staining. (c-1) No cold-stress treatment and treatment with (c-2) 20 mM PBS (negative control), (c-3) 0.5 mg/mL rsfAFP, and (c-4) 10% (v/v) glycerol and (c-5) 1.0 mg/mL sucrose (positive controls). Q2-1: necrotic cells; Q2-2: late apoptotic cells; Q2-3: viable cells; Q2-4: early apoptotic cells.

PMC10006524

gr3.jpg

0.408276

8fcced7873464835b977ff3f1e8e478b

Cellular membrane properties of S. thermophilus after freezing at −20 °C for 24 h and 2 freeze–thaw cycles with different cryoprotectants. (a) RH123 probe fluorescence intensity indicating the cell membrane potential of S. thermophilus; (b) DPH fluorescence intensity indicating the cell membrane fluidity of S. thermophilus; (c) PI/CFDA fluorescence intensity indicating the cell membrane integrity of S. thermophilus; (d) Fluo-3/AM fluorescence intensity representing the intracellular calcium ion concentration; (e) Cryo-TEM of S. thermophilus cells treated with or without 0.5 mg/mL rsfAFP. The green, yellow and red arrows indicate cytoderm, cytomembrane and ice crystals, respectively. (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article.)

PMC10006524

gr4.jpg

0.431558

94eb25e1986943fa838f7b9de96a48a2

In situ Raman spectroscopy analysis for the interaction between rsfAFP and extracellular ice at different temperatures. (a) and (b) Raman spectra of S. thermophilus suspended in PBS; (c) and (d) Raman spectra of 0.5 mg/mL rsfAFP; (e) and (f) S. thermophilus suspended in 0.5 mg/mL rsfAFP.

PMC10006524

gr5.jpg

0.420909

b460c0195373477f96f65d5fd1532fd1

Molecular docking simulations showing interactions of peptidoglycan and capsular polysaccharide (PDB: 1CAP) with rsfAFP (PDB: 2PNE). Visualization of the structure of rsfAFP and potential binding sites for (a) peptidoglycan and (b) capsular polysaccharide in rsfAFP. (c) General overview (left) and (d) magnified view (right) of the docking between rsfAFP and peptidoglycan; (e) general overview (left) and (f) magnified view (right) of the docking between rsfAFP and a capsular polysaccharide.

PMC10006524

gr6.jpg

0.426566

11be37e3ceaf413ab493150ecf21de61

Flow diagram of the review process supported by the StArt.

PMC10006531

gr1.jpg

0.425159

44311cf29f11454f88ae45f9f8fc37d6

Conceptual framework affecting the SMEs' performance.

PMC10006531

gr10.jpg

0.469113

089c212fb72b4d26858e5d53b74ca35e

Publications per country of affiliation of the first author.

PMC10006531

gr2.jpg

0.436541

063ddb61ecc248ab9be44e9fc873a090

Network of collaborations on the theme sustainable performance of SMEs.

PMC10006531

gr3.jpg

0.401962

8ae531ea79484f8baf0ae150c20836bd

Summarization of the answers for Questions 1 and 2 (from Data Extraction Form Fields). The number of analyzed elements is in parentheses after the percentage.

PMC10006531

gr4.jpg

0.425407

073c2a4a7b7f4faf931505fde8dba795

Summarization of the answers for Questions 3 and 4 (from Data Extraction Form Fields). The number of analyzed elements is in parentheses after the percentage.

PMC10006531

gr5.jpg

0.385323

7a859f36b77944d3aaa101d485f3932f

Summarization of the answers for Questions 5 (from Data Extraction Form Fields). The number of analyzed elements is in parentheses after the percentage.

PMC10006531

gr6.jpg

0.413926

3a0aed2008fd4e219873ab9d7406ca7b

Summarization of the answers for Questions 6 (from Data Extraction Form Fields).

PMC10006531

gr7.jpg

0.38329

9973c8ba7c0a4e2b879511337ae1daf9

Summarization of the answers for Questions 7 and 8 (from Data Extraction Form Fields). The number of analyzed elements is in parentheses after the percentage.

PMC10006531

gr8.jpg

0.385648

cbfadd596be94f27bcf30f7c3af33cbe

Summarization of the answers for Questions 9 and 10 (from Data Extraction Form Fields). The number of analyzed elements is in parentheses after the percentage.

PMC10006531

gr9.jpg

0.456357

9c0fbf6ea9cf4f9a807f3a4cdaca7f89

Toy network with a thermodynamically infeasible cycleThe network consists of two metabolites and four reactions, where v represents fluxes and g genes’ expression (A) When all reactions have equal gene expression values, Pheflux (dark gray) and SPOT (light gray) produce similar fluxome estimations (B) When g3 magnitude doubles every other reaction, SPOT cycles higher flux between metabolites than Pheflux (C) When g3 is one order of magnitude higher than any other reaction, SPOT only predicts flux cycling between metabolites, with no flux exchange. Conversely, even in this extreme case, Pheflux predicts flux exchange (D).

PMC10006673

gr1.jpg

0.513282

aec798dd26f54e9ea17978610f1f086d

Comparison of Pheflux, SPOT, and FBA+min ℓ2 estimations to experimental fluxomes of bacteria and yeastsThe dataset includes glycolysis and TCA cycle reactions for cultures using single carbon sources and the mixture glycerol-glucose for Y. lipolytica, and succinate-glutamate and malate-glucose for B. subtilis.

PMC10006673

gr2.jpg

0.386502

53705d895e074cd790c5dccfbf7465a9

E. coli core fluxes predictions under different scenarios. Carbon core fluxes computed by FBA+min l2 (A) and Pheflux (B). Genome-scale fluxes computed by FBA+min l2 (C) and Pheflux (D).

PMC10006673

gr3.jpg

0.490372

3e822870e0f3458fb6ac9fc9e91985cc

Fluxome estimations for normal and tumor cells for breast, kidney and bronchus-lung tissues.Pheflux estimated higher yields of glucose on lactate (vlac/vglc) on cancer compared to normal tissues.

PMC10006673

gr4.jpg

0.486639

53ee6409fb1a4feb8aedcfe7d456469b

Stage-specific fluxome estimations for normal and tumor cellsResults for kidney (A), breast (B) and bronchus-lung (C) tissues. For all cancer types, in all but stage IV (where sample sizes were not big enough to conduct statistical tests), Pheflux estimated higher yields of glucose on lactate (vlac/vglc) on cancer compared to normal tissues.

PMC10006673

gr5.jpg

0.379581

f981a62c91a947f9a447eccb8f795eb6

Differential use of metabolic pathways between normal and cancer tissuesThe relative use of a metabolic pathway (enrichment) between tumoral and normal cells is presented for all three cancer types (A). In all cancer types, the ratio between the fluxes of pyruvate that goes into the Krebs cycle versus lactate –computed as the flux ration between reaction LDH and PDHm– is always greater in tumoral cells (B). The metabolic pathways are coded as: Glycolysis/gluconeogenesis: GG; Oxidative phosphorylation: OXP; Pyruvate metabolism: PM; Glutamate metabolism: GM; Alanine and aspartate metabolism: AAM; CoA catabolism: CC; CoA synthesis: CS; Arginine and proline metabolism: APM; Tryptophan metabolism: TM; Citric acid cycle”: TCA; Nucleotide metabolism: NM; NAD metabolism: NAD; Fatty acid synthesis: FAS; Fatty acid oxidation: FAO; Cholesterol metabolism: CM; and Transport, mitochondrial: Mt. p-values (Mann-Whitney U test) are coded as: <0.0001: ∗∗∗; <0.01: ∗∗; and <0.05: ∗.

PMC10006673

gr6.jpg

0.418456

19e55889d84f48199111be85f9f79123

CPU times for different genome-scale metabolic networksSeveral transcriptomes per species were processed using Pheflux. The data points density for B. subtilis, E. coli, and H. sapiens is color-coded in the blue (low density) to red (high density) range, whereas the non-overlapping data points for S. stipitis, S. cerevisiae and Y. lipolytica are presented in black.

PMC10006673

gr7.jpg

0.457385

0cc1a717f52e4fe0ba7d2da04842ef20

Tissue Engineering Triad.

PMC10007057

polymers-15-01202-g001.jpg

0.452665

2e4dd71f58fd40a8ab9a56f3503dea87

Schematic representation of typical electrospinning system [144] ©2016 Yawen Li and Therese Bou-Akl. Originally published in “Chapter 6 Electrospinning in Tissue Engineering”from Book “Electrospinning—Material, Techniques, and Biomedical Applications” under Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0, accessed on 4 December 2022). Available from: https://doi.org/10.5772/65836, accessed on 4 December 2022.

PMC10007057

polymers-15-01202-g002.jpg

0.502322

4575aae39f41435e8b1ed322d9764dc0

Electrospinning techniques—Blend, Co-axial and emulsion electrospinning. Reproduced from reference [150] with permission from Royal Society of Chemistry.

PMC10007057

polymers-15-01202-g003.jpg

0.437861

d42fc499faa74d0da542c697d0555d5c

Geographic location of Oued Souhil experimental plot and surrounding area on a composite false color Sentinel 2 image (17 April 2017) (left) and Google Earth image (right).

PMC10007100

sensors-23-02823-g001.jpg

0.424478

4f1e43700ddb4b00a946d8613d6a66f3

5TE sensor installation in potato and barley plots.

PMC10007100

sensors-23-02823-g002.jpg

0.434559

ccfb92d1fd184f2dbfe9ab74c5b294bc

Schematic relationship between surface temperature and albedo in the S-SEBI algorithm (modified after [10]).

PMC10007100

sensors-23-02823-g003.jpg

0.414729

2499782b82284bb39345b3b230a83bc8

Example of an NDVI map and the corresponding scatter plot of albedo and surface temperature of sparse to full vegetation (NDVI > 0.3) around the experimental plot (NDVI and scatter from Landsat 8 image acquired on 28 February 2017).

PMC10007100

sensors-23-02823-g004a.jpg

0.451747

6d399bd8607549cb8d479e9e4ba6bdef

NDVI ranges from Landsat 8 and Sentinel 2 images and evaporative fraction range from S-SEBI in Oued Souhil plot.

PMC10007100

sensors-23-02823-g005.jpg

0.436791

3bece012a53d4779afccfac031d34b81

Variation of the ratio G0/Rn with different empirical formulas for irrigated potato (late and early growing seasons) and rainfed barley [36,37,38,39].

PMC10007100

sensors-23-02823-g006.jpg

0.455729

95be074dd4f4490caa74bd41ea969c9b

Comparison of ETa by HYDRUS-1D, S-SEBI based on Landsat 8 and FAO-56 scenarios for early and late potato growing seasons.

PMC10007100

sensors-23-02823-g007.jpg

0.429718

9746444c5484471aba5e41953ceaef6a

Root zone salinity variation for irrigated potato during two growing seasons for ETa–HP1 and ETa–HP2 scenarios.

PMC10007100

sensors-23-02823-g008.jpg

0.470463

849e60931a1044ff93c652ef62527919

Comparison of ETa by HYDRUS-1D, S-SEBI based on Landsat 8 and FAO-56 scenarios for rainfed barley.

PMC10007100

sensors-23-02823-g009.jpg

0.454424

636cf9f137a844d7913044883630dbb6

Extraction yields (η) obtained by ultrasonic extraction (UE; solvent H2O), Soxhlet extraction (SE; solvent EtOH), and supercritical fluid extraction (SFE; solvent scCO2, co-solvent EtOH) of avocado seed (AS).

PMC10007261

plants-12-01201-g001.jpg

0.383856

e1a7d2e4bcc64074bf9f1f69206b0ede

Content of total phenols (TPC), proanthocyanidins (PAC), and total proteins (PC) in AS extracts obtained by ultrasonic extraction (UE; solvent H2O), Soxhlet extraction (SE; solvent EtOH), and supercritical fluid extraction (SFE; solvent scCO2, co-solvent EtOH).

PMC10007261

plants-12-01201-g002.jpg

0.454537

75bb711da5e241c387cd18f444e0a940

Antioxidant activities of AS extracts obtained by ultrasonic extraction (UE; solvent H2O), Soxhlet extraction (SE; solvent EtOH), and supercritical fluid extraction (SFE; solvent scCO2, co-solvent EtOH).

PMC10007261

plants-12-01201-g003.jpg

0.418834

2d46c34b1e284496b37859f6d7176ab6

Microbial growth-inhibition rates (MGIRs) for AS extracts obtained by ultrasonic extraction (UE; solvent H2O), Soxhlet extraction (SE; solvent EtOH), and supercritical fluid extraction (SFE; solvent scCO2, co-solvent EtOH) using 70, 140, 210, 280, and 2780 μg sample per mL of selected Gram-negative bacteria suspension.

PMC10007261

plants-12-01201-g004a.jpg

0.443868

3004332577304df4a8b041d32efdfe45

Microbial growth-inhibition rates (MGIRs) for AS extracts obtained by ultrasonic extraction (UE; solvent H2O), Soxhlet extraction (SE; solvent EtOH), and supercritical fluid extraction (SFE; solvent scCO2, co-solvent EtOH) using 70, 140, 210, 280, and 2780 μg sample per mL of selected Gram-positive bacteria suspension.

PMC10007261

plants-12-01201-g005.jpg

0.408569

55fb6167e9fc4e1a9b974963857c6019

Microbial growth-inhibition rates (MGIRs) for AS extracts obtained by ultrasonic extraction (UE; solvent H2O), Soxhlet extraction (SE; solvent EtOH), and supercritical fluid extraction (SFE; solvent scCO2, co-solvent EtOH) using 70, 140, 210, 280, and 2780 μg sample per mL of C. albicans suspension.

PMC10007261

plants-12-01201-g006.jpg

0.389896

5bf3277113224f7ca8668f0974a6ad33

Prevalence (%) of use of integrative and complementary practices to Brazilian adults and older adults, according to level of education, income quintiles, and use of private health insurance. (n = 11,198 individuals)

PMC10008017

10389_2023_1869_Fig1_HTML.jpg

0.429707

bc0e391ac4c946418c7467c0463c4410

Mesenteric thickening on intraoperative ultrasound. *Thickening of the small bowel mesentery

PMC10008235

10151_2023_2760_Fig5_HTML.jpg

0.441975

7d951303ba9b4bcc9eea981d19a3356c

Proposed biosynthetic pathway of methiin, alliin, and isoalliin in Allium plants

PMC10008257

11418_2022_1631_Fig1_HTML.jpg

0.445331

508912a413b348f0a7a58c9a2199e809

The representative callus tissues established in this study. Callus tissues cultivated for 4 weeks after subculture are shown. a Onion cultivar ‘Sensyu’, line R5-1. b Onion cultivar ‘Getsurin’, line R2-2. c Welsh onion, line R5-5. d Chinese chive, line R8-B2

PMC10008257

11418_2022_1631_Fig2_HTML.jpg

0.388731

ae807b9895254826ac43411d4083e1c4

The levels of CSOs in the callus tissues and the intact plants. The content of methiin, alliin, and isoalliin in the callus tissues cultivated for 9 weeks after subculture, and the leaves and roots of 5-week-old onion cultivar ‘Sensyu’ (a) and onion cultivar ‘Getsurin’ (b), Welsh onion (c), and Chinese chive (d) was measured using LC–MS. The before-hyphen part of the callus tissue line’s name indicates the organ (L, leaf; R, root) and the phytohormone condition used for callus induction. For example, R1 indicates callus induced from roots under the condition of Pi-1. Among 11 callus tissues of Chinese chive tested, three callus tissues formed adventitious roots (AR). Leaf and root data from the intact plants represent the mean ± SD of five biological replicates

PMC10008257

11418_2022_1631_Fig3_HTML.jpg

0.421214

27d69a214254430da2adbd693a835c87

Alliinase activity in the callus tissues and the intact plants. Alliinase activity was measured for the protein extracted from the callus tissues cultivated for 9 weeks after subculture, and the leaves and roots of 5-week-old onion cultivar ‘Sensyu’ (a) and onion cultivar ‘Getsurin’ (b), Welsh onion (c), and Chinese chive (d). Leaf and root data from the intact plants represent the mean ± SD of five biological replicates

PMC10008257

11418_2022_1631_Fig4_HTML.jpg

0.564106

0f5acdf745d74e4b99af4395709a7fa7

Prevalence of different disabilities across sociodemographic characteristics. (A) Doughnut chart for the prevalence of different disabilities across the population in India based on NFHS-5 (N = 1,15,557). (B) Radar plot showing the prevalence pattern of different disabilities across age groups in India based on NFHS-5 (N = 1,15,557). (C) The prevalence pattern of different disabilities across educational statuses in India based on NFHS-5 (N = 1,15,557).

PMC10009251

fpubh-11-1036499-g0001.jpg

0.473662

3680615ec2b14b06a408c2d3c50328e8

Prevalence patterns of disability in India based on NFHS-5. (A) Overall prevalence pattern of disability in India, NFHS 5. (B) Distribution of locomotor disability in India, NFHS 5. (C) Distribution of mental disability in India, NFHS 5. (D) Distribution of speech disability in India, NFHS 5.

PMC10009251

fpubh-11-1036499-g0002.jpg

0.429749

22f8eb35302243fdb984280b7b573600

Disgust sensitivity and nausea and vomiting (mean, SE) in pregnant women before and during the COVID-19 pandemic — Stratified by parity.

PMC10009253

fpsyg-14-1015927-g001.jpg

0.454994

11ec3f60d41f4485b29bcf57886e745d

Effect of age on disgust sensitivity in pregnant women before and during the COVID-19 pandemic — Stratified by parity (fitted line for regression, confidence bands).

PMC10009253

fpsyg-14-1015927-g002.jpg

0.463635

3ee72ee862fe4e768ce23435725c38f1

Effect of age on nausea and vomiting in pregnant women before and during the COVID-19 pandemic — Stratified by parity (fitted line for regression, confidence bands).

PMC10009253

fpsyg-14-1015927-g003.jpg

0.497267

9dee0d6fcd714986a91a38efb35c4b79

Flow chart of the selection process.

PMC10009456

gr1.jpg

0.427369

84f4c59b8f6c458b95bebb46271f0711

Area at study.

PMC10010672

fpubh-11-996960-g0001.jpg

0.492532

6aafd1911cf94a05b1276092a841ff9b

Methodology flow chart.

PMC10010672

fpubh-11-996960-g0002.jpg

0.406314

8456475dcc22494a9dee84e4c44657f8

Mortality for malignant tumor of breast, 2008–2019. Relative risk (RR), by gender and class of municipal environmental indicator of waste risk (MRI). (A) Women; (B) men.

PMC10010672

fpubh-11-996960-g0003.jpg

0.466559

615c416334fe46c2852a504677226e95

Hospitalization for malignant tumor of breast [(A) women, (B) men] and testis (C) and for asthma [(D) women, (E) men], 2008–2019. Relative risk (RR), by gender and class of municipal environmental indicator of waste risk (MRI).

PMC10010672

fpubh-11-996960-g0004.jpg

0.564308

c665747284304bb5be88fc8aa3ec1692

Zero to 19-year-old people. Hospitalization for leukemias, 2008–2019 (A) and prevalence of preterm birth, 2013–2017 (B). Males and females combined. Relative risk (RR), by class of municipal environmental indicator of waste risk (MRI).

PMC10010672

fpubh-11-996960-g0005.jpg

0.395788

0b20c4769fc24708afcb2863e919c307

Some illegal waste dumping and burning sites in the study area.

PMC10010672

fpubh-11-996960-g0006.jpg

0.387821

23bd19d97e444ff996cc646cbefe4010

Receiver-operating characteristic (ROC) curves of major bleeding according to the ATRIA, CRUSADE, and ACUITY HORIZONS scores in the entire cohort and STEMI and non-STEMI subgroups. ACUITY-HORIZONS=Acute Catheterization and Urgent Intervention Triage strategY-Harmonizing Outcomes with Revascularization and Stents in Acute Myocardial Infarction; ATRIA=Anticoagulation and Risk Factors in Atrial Fibrillation; AUC=area under the curve; CI=confidence interval; CRUSADE=The Can Rapid Risk Stratification of Unstable Angina Patients Suppress Adverse Outcomes With Early Implementation of the ACC/AHA Guidelines.

PMC10010705

rbccv-38-01-0139-g01.jpg

0.549609

4a89b99a15184595aae8ba0015e8ca55

Proposed algorithm to solve the vaccine distribution problem.

PMC10011041

gr1_lrg.jpg

0.470552

2e98bfecb0364f71803290f40ab9c46f

Superstructure proposed for the allocation of potential vaccines among the different states in Mexico.

PMC10011041

gr2_lrg.jpg

0.42263

d423fcd84c734a8293784c5f1c4a9d9d

Purchased vaccines for all scenarios with different investment capacities in MM$ (252.42, 504.85, and 841.4).

PMC10011041

gr3_lrg.jpg

0.552021

b19e9ee11bb64a7d80b9af2d636248a1

Pareto solutions for the vaccines allocation with different distribution schemes (social welfare, Rawlsian, and Nash) and investment capacities in MM$ (scenario 1: without vaccines losses and weight factors equal to 1).

PMC10011041

gr4_lrg.jpg

0.49373

a8fb7f1c4bd34238b35c980ec68c9411

Pareto solutions for vaccine allocation with different distribution schemes (social welfare, Rawlsian, and Nash) and investment capacities in MM$ (scenario 2: considering vaccines losses and weight factors equal to 1).

PMC10011041

gr5_lrg.jpg

0.468406

fc882a09636e4d17882dab424cd42f9c

Pareto solutions for vaccine allocation with different distribution schemes (social welfare, Rawlsian, and Nash) and investment capacities in MM$ (scenario 3: considering vaccines losses and weight factors based on the COVID-19 traffic light).

PMC10011041

gr6_lrg.jpg

0.41258

7cf009f38c32487788995d550c93b726

Quercetin induce cell apoptosis through different ways. Quercetin induced c-cytochrome-dependent apoptosis and caspase-3. Also quercetin suppressed cell cycle in different phases and inhibited the phosphorylation of PI3K/Akt and mTOR. Co-treatment quercetin with some compounds improved the efficacy and increased apoptosis.

PMC10011078

fimmu-14-1077531-g001.jpg

0.482502

4853672bed614cf2a4ad27d619c40192

Quercetin had anti-tumor and anti-inflammatory effects. Quercetin declined inflammatory condition through decreasing VGEF-A, NO, iNOS. Also, It increased TSP-1 mRNA and protein expression to prevent angiogenesis and suppressed metastasis by reducing VEGF secretion. Vascular endothelial growth factor A (VEGF-A); Nitric oxide (NO); Inducible nitric oxide synthase (iNOS); Thrombospondin-1 (TSP-1).

PMC10011078

fimmu-14-1077531-g002.jpg

0.444921

36e49581d08e4366ad0138a70674002d

Annotated emotional arc of Harry Potter in Harry Potter and the Deathly Hallows, by J. K. Rowling.(Reproduced from [8] under Creative Commons Attribution 4.0 International License.)

PMC10011281

283_2022_10187_Fig1_HTML.jpg

0.430766

735d53c318ad4155aa5238f388f224cb

A graph and its adjacency matrix.

PMC10011281

283_2022_10187_Fig2_HTML.jpg

0.445337

6e1090200ba541ba8f55c6c607c63980

A multigraph and its adjacency matrix.

PMC10011281

283_2022_10187_Fig3_HTML.jpg

0.394363

13df8695d44d4088b7e4bab68ae6297b

Examples of degree distributions for random networks.

PMC10011281

283_2022_10187_Fig4_HTML.jpg

0.419686

b03704347e1942dcb09c5470d345a30d

Adjacency matrices from season 1 of Twin Peaks: graph (left) and multigraph (right).

PMC10011281

283_2022_10187_Fig5_HTML.jpg

0.477249

01dc860816e94a60b70f383054518800

Graphical representation of the Twin Peaks network: the black nodes are BC; the red are AD.

PMC10011281

283_2022_10187_Fig6_HTML.jpg

0.385078

beb56462ce7b40769a6d9f7ae8b5474d

The Dale Cooper effect.

PMC10011281

283_2022_10187_Fig7_HTML.jpg

0.51847

a8644cb3e0e949719d5b283676195645

Degree distribution in the Twin Peaks networks compared to random networks.

PMC10011281

283_2022_10187_Fig8_HTML.jpg

0.429548

413328c3cafa475699d8287ee5e3a99a

Clusters in the Twin Peaks network before (left) and after (right) removing law enforcement.

PMC10011281

283_2022_10187_Fig9_HTML.jpg

0.412417

657d11947bb646e3a498913298557abc

The SCARS Model: a machine learning tool for predicting survival and neurological outcomes in out-of-hospital cardiac arrest (OHCA). AUROC = area under the receiver operating curve.

PMC10011734

gr1.jpg

0.536349

23168a25863b4f738c4e9ab5b138ebad

Overview showing brain areas and functional roles of the two major ascending vestibular pathways. Vestibular afferents innervating the vestibular endorgans project to the vestibular nuclei (VN). VN neurons in turn project directly to the ventral posteriolateral (VPL) area of the thalamus and indirectly to the anterodorsal thalamic nucleus (ADN) via multiple brain areas (see “Anterior pathway processing”). While VPL neurons project to vestibular cortical areas that mediate self-motion perception. ADN neurons instead project to other areas such as the entorhinal and retrosplenial cortices that mediate computation of spatial orientation and are reviewed elsewhere (Cullen and Taube, 2017). Detailed diagrams of both pathways have been published previously (Cullen and Taube, 2017; Lopez and Blanke, 2011; Clark and Harvey, 2016). Abbreviations: VN: vestibular nuclei; VPL: ventral posteriolateral; ADN: anterodorsal thalamic nucleus.

PMC10011815

gr1.jpg

0.411014

589feebcc24f427bba172d8d1eb990b1

A) Top: Self-motion stimulus consisting of a sinewave whose amplitude increases linearly with time. Middle: VN response to this stimulus. Bottom: VPL response to this stimulus. Note that, while VN neurons respond with changes in firing rate whose amplitude increases with time, VPL neurons display contrast gain control, such that the amplitude modulation in their responses remains constant. B) Gain of VN (blue) and VPL (red) responses as a function of stimulus amplitude. While VN neural gain is constant, VPL neural gain decreases as a power law with increasing amplitude. C)Top: The inverse gain increases linearly with increasing amplitude for VPL. Bottom: Neural variability in VPL neurons first increases and then saturates with increasing amplitude. D) VPL neural discrimination threshold as a function of amplitude which is obtained by dividing the neural variability by the gain. The fact that neural variability saturates for larger amplitudes causes a deviation from Weber's law (dashed line), which qualitatively agrees with psychophysical studies (Mallery et al., 2010). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

PMC10011815

gr2.jpg

0.479762

8976b1e71d8245a787ead1e0d33fdfbc

A) Top: Naturalistic (left) and artificial (right) time series. Note that naturalistic stimuli can reach much higher amplitudes than the artificial sinusoidal stimuli that have been typically used. Importantly, naturalistic stimuli contain a spectrum of frequencies (left inset) whereas sinusoidal stimuli only contain one frequency (right inset). Middle: VN responses (blue) to naturalistic (left) and artificial (right) stimulation. Note that, in both cases, the response leads (i.e., reaches its maximum before) the stimulus (dashed lines and blue arrows). Bottom: VPL responses to naturalistic (left) and artificial (right) stimulation. Note the important difference that, under naturalistic stimulation, VPL responses faithfully follow the stimulus waveform with no significant phase lead, whereas phase leads similar to those observed for VN are seen under artificial stimulation (dashed lines and red arrows). B)Top left: Gain increases with increasing frequency for VN during both artificial (dashed blue) and naturalistic (solid blue) stimulation. Note that both curves overlap and are offset here for clarity. Top right: Phase lead increases with increasing frequency for VN during artificial (dashed blue) and naturalistic (solid blue) stimulation. Note that both curves overlap and are offset here for clarity. Bottom left: While gain increases with increasing frequency for VPL during artificial stimulation (dashed red), gain was instead independent of frequency for VPL during naturalistic stimulation (solid red). Bottom right: While phase lead increases with increasing frequency for VPL during artificial (dashed red), no phase lead is seen during naturalistic stimulation (solid red). C) Optimal coding theory predicts that the neural tuning curve (right panel, black curve) should be related to the stimulus probability distribution (left panel, black curve) through integration. The actual tuning curve for VPL (right panel, red curve) better matches the optimal prediction (right panel, black curve) than the actual tuning curve for VN (right panel, blue curve). This indicates that VPL neurons are better optimized to encode naturalistic stimuli than VN neurons. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

PMC10011815

gr3.jpg

0.457664

4f933f98c536452e82edc8a63de5ca17

A) Top: Stimulus waveforms during passive (left) and active (right) motion. Middle: VN responses during passive (left) and active (right) motion. Note that responses are attenuated during active motion, as can be ascertained by comparing the actual response (solid blue) to that predicted from passive motion (dashed blue) and is indicated by the blue arrow. Bottom: VPL responses during passive (left) and active (right) motion. Note that responses are attenuated during active motion, as can be ascertained by comparing the actual response (solid red) to that predicted from passive motion (dashed red) and is indicated by the red arrow. Note that VPL responses are in general more attenuated than those of VN. B) Bar graph showing % attenuation during active motion for vestibular afferents (left), VN (middle), and VPL (right). Note that afferent responses are not attenuated and that the bar is offset with respect to the x-axis for clarity. C) Schematic showing current hypotheses as to why responses of VN and VPL neurons are attenuated during active motion. Specifically, the efference copy of the motor command for voluntary movement is used to build an internal model of the expected consequences of movement that is then compared with actual proprioceptive feedback. If there is a match, then a cancellation signal that likely originates within the cerebellum is sent to VN. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

PMC10011815

gr4.jpg

0.486877

d548dfa7c44b4d698197d55eedf35531

Diagnostic flowchart for patients planning surgery during the coronavirus disease 2019 pandemic. 1All coronavirus disease 2019 (COVID-19) positive or suspected patients requiring surgical intervention should be treated as positive cases until proven otherwise[17]. 2Patients with perioperative severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are at increased risk of death and pulmonary complications after surgery[20]. 3There is to date only limited evidence on the optimal timing of surgery after SARS-CoV-2 infection[19]. A prospective cohort study found that surgery performed ≥ 4 wk after a positive SARS-CoV-2 swab result may be associated with a lower risks of pulmonary complications and postoperative mortality[21]. COVID-19: Coronavirus disease 2019.

PMC10011991

WJCC-11-1434-g001.jpg

0.416722

d07aa749a9774564ae7792e48d43b74a

Schematic representation of changes in the choice of surgical techniques for the management of head and neck cancer during the coronavirus disease 2019 pandemic. COVID-19: Coronavirus disease 2019; ICU: Intensive care unit; FAMM: The facial artery musculomucosal.

PMC10011991

WJCC-11-1434-g002.jpg

0.431185

9dc158c6af124ee4a098006aeb4b577b

Illustration of the game structure.Participants A1 and B1 provide effort at a certain piece rate (in the example, A1 earns $12 per task and B1 earns $4), creating wealth and emissions. Participants A2 and B2 inherit the wealth of their predecessors and use it to mitigate climate change.

PMC10012302

41467_2023_37130_Fig1_HTML.jpg

0.414881

df2858f81bb54a0e809eff6612ba9e9e

Share of the climate mitigation costs paid by the proposer in the History treatment (blue crosses) and in the Baseline (red circles), across different levels of the proposer’s historical emissions.Each marker represents a different outcome created by a first-generation pair of participants. Blue and red solid lines indicate the best linear fit for the data; the 45° line indicates how costs would be divided if costs were always divided proportionally to historical emissions.

PMC10012302

41467_2023_37130_Fig2_HTML.jpg

0.438264

c2e46b4d73054096aa57c703558228c8

Study flow chart. IVF, in vitro fertilization; ICSI, intracytoplasmic sperm injection; FET, frozen–thawed embryo transfer; BMI, body mass index; GnRHa, gonadotropin-releasing hormone agonist; HRT, hormonal replacement therapy; PGT-A, preimplantation genetic testing for aneuploidy; TESE, testicular sperm extraction

PMC10012576

12884_2023_5491_Fig1_HTML.jpg

0.417397

19252df7129346f0840eb10ae1fa44df

Flow diagram illustrating the selection of patients in this study

PMC10012578

43019_2023_182_Fig1_HTML.jpg

0.448463

c779e412b2404d3b92d665b2cefd6f0e

Partial MMPRT. A An absolute MM extrusion (yellow line). B An ocarina sign. Note a multiple fiber bundle formation showing several condensed circles in triangular meniscal horn (yellow-dotted area). C Type B partial tear (arrowhead). D Transtibial pullout repair

PMC10012578

43019_2023_182_Fig2_HTML.jpg

0.426163

3b85d29467d8460dae05ae38c44e0930

Correlation between duration from onset to MRI examination and MM extrusion. A In the pullout repair group, the regression equation was linear: MM extrusion = 0.015 × duration + 2.908 mm (R2 = 0.54, P < 0.001, 0.462 mm/month increase). B No significant correlation between duration and MM extrusion was observed in the nonoperative management group

PMC10012578

43019_2023_182_Fig3_HTML.jpg

0.474045

08a468e45dfa466695581b1f8a009017

MM extrusion. A 62-year-old female patient in the pullout repair group. A Finding from the first MRI examination performed 5 days after the painful popping event. B A second MRI examination was performed 47 days after the onset of partial MMPRT. Yellow lines indicate MM extrusions

PMC10012578

43019_2023_182_Fig4_HTML.jpg

0.420278

faa9955266bd4ffa8df073f113a56a1f

(A) Rheoencephalography (REG) signal trend and (B) Poincaré plot reconstruction of a REG signal with time lag τ = 5 samples.

PMC10013012

fnetp-02-912733-g001.jpg

0.445209

c25d32825bf94d7aa82bcb0c3aacdb63

Evolution of SD1, SD2, SDratio, SDarea, CCM and R as a function of τ for the set of anesthesia states under analysis: Awake, LOC, Anes, BSR and LOC. Median values are graphed, together with the 25th and 75th quartiles represented with dashed lines.

PMC10013012

fnetp-02-912733-g002.jpg

0.496882

d383b35b2e1243b197a701159b39e81e

Statistical significance (p-values) obtained for the comparison of the median values of each Poincaré feature (SD1, SD2, SDratio, SDarea, CCM and R) among consecutive anesthesia states. The post hoc non-parametric paired samples Wilcoxon test was applied. Grey areas represent intervals in which the graphed parameter shows statistical significance of p-value<0.01.

PMC10013012

fnetp-02-912733-g003.jpg

0.46453

c82ed3ab61b34758ad67b4eed2b0ad9b

Clinical data recorded during anesthetic procedure: (A) qCON index, (B) EEG frequency bands, (C) propofol and remifentanil effect site concentrations (CePropo and CeRemi, respectively), (D) heart rate (HR) and mean arterial pressure (MAP) and (E) δmax and SDratio REG features.

PMC10013012

fnetp-02-912733-g004.jpg