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

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0.422659	c6abec1b31cf4db78e7cf47924a35367	Analyzed video data for θ1 and θ2 of a free drop double pendulum with associated standard deviation of calculation for θ1 and θ2 underneath.	PMC9041261	gr14.jpg
0.443331	8836cd6cdd494952a318df6ea0d0e04f	Reduced double pendulum model for two simple, symmetric links and the free body diagrams for the (a) upper and (b) lower links.	PMC9041261	gr15.jpg
0.401561	bcaf28211267407c953840b4a6071142	Zoomed-in section of the energy profile between experimental and simulated energy loss at beginning of drop.	PMC9041261	gr16.jpg
0.442212	9494be1cb57743c9b7ae2c77b62f2248	Damping parameter optimization results for three trials of the free-drop double pendulum.	PMC9041261	gr17.jpg
0.421426	c42021aadadc4d2fba2b9b5b9e3e81dc	Double pendulum reference angles and datum.	PMC9041261	gr18.jpg
0.548851	c62e443385054370a0f30de2ce7135d7	Schematic of the ball bearing used (the retainer ring is not shown).	PMC9041261	gr19.jpg
0.433231	59f0b625a518426ea4c79b3797e686fa	Mechanical drawing overview figure for manufactured components.	PMC9041261	gr2.jpg
0.42297	15244834f9cf49f5956528ffaf3e11d6	Two possible configurations for the double pendulum. The left configuration is the one we used in this paper, which has fewer bearings than the configuration on the right. See Table 5 for the corresponding bearing angular velocity expressions.	PMC9041261	gr20.jpg
0.438761	b955397c3471425a85b4528b9d5632ca	Calibration line for the encoder used to measure the angle of the top link of the double pendulum.	PMC9041261	gr21.jpg
0.474838	ee66877df238462ab6d74653f7ee597c	Visual representation of two methods for calculating ϕ using video data: method 1 on the left and method 2 on the right.	PMC9041261	gr22.jpg
0.471326	3e1debfdd1fa418786504f2366fe6e4b	Double pendulum diagram showing node assignment on the left and ϕ1 and ϕ2 reference on the right.	PMC9041261	gr23.jpg
0.442676	5e52f1f7030845e9ac231749291d912b	Example showing how ϕ2(t) is found using the original down configuration and a later configuration at time t for the vector between nodes n3 and n4.	PMC9041261	gr24.jpg
0.522426	a92a8c86f985424a9e7bbada07ae3b1a	Mechanical drawing of the machined upper (top figure) and lower (bottom figure) links (items 4 and 6 from Fig. 2). All dimensions are in inches.	PMC9041261	gr3.jpg
0.427902	4ee09f56867d43299b28518ddd5ad761	Mechanical drawing of 3D printed components (dimensions are in inches): (top left and center) 3D printed upper and lower pendulum arm trackers (items 3 and 5 from Fig. 2), top right) encoder mount flange (item 1 from Fig. 2bottom) encoder mount housing (item 2 from Fig. 2).	PMC9041261	gr4.jpg
0.368899	d97102bec261482093b417081a977cf2	Flow chart of electronics used: 24 V DC from power supply to power pendulum encoder, which is recorded using a DAQ and with a high speed camera. The recorded data is then stored directly on a PC.	PMC9041261	gr5.jpg
0.417353	ecec34d99cdf4a2391059052eb0824dc	Double pendulum marker function and node locating. (a) shows the high contrast locations at the markers and (b) shows the location output from using the center of the moment contours from openCV.	PMC9041261	gr6.jpg
0.405917	5ec3c3becbe440889d9b59df82059498	Example process of the two dimensional rigid body tracking algorithm with occlusions using a nearest neighbor scheme for the double pendulum lower link.	PMC9041261	gr7.jpg
0.455273	95d730a64c0f443eadb781182b130db9	Rendering of assembled base for double pendulum.	PMC9041261	gr8.jpg
0.397577	7bb85ee5cd4249c0a309d60ac26631ce	Rendering of linkage assembly process.	PMC9041261	gr9.jpg
0.477633	98166b2195d14289816447f7953cd886	Scheme of ceria radical scavenging mechanism.	PMC9041545	d1ra05026e-f1.jpg
0.374609	a66acaf28d6541cc8ec212be8c14db1c	SEM images of MEA containing Nafion/1% ceria nanoparticles (a) before and (b) after 10 000 ADT cycles; SEM images of MEA containing Nafion/1% ceria nanorods (c) before and (d) after 10 000 ADT cycles. The second and third rows are the EDS maps of fluorine and cerium corresponding to the SEM images in each column.	PMC9041545	d1ra05026e-f10.jpg
0.43773	c4691054353145afb3163320dc8d8e12	TEM images of ceria nanorods with different scale bars. The concentrations of Ce(NO3)3·6H2O solution and NaOH solution were 0.6 M and 18.4 M, respectively.	PMC9041545	d1ra05026e-f2.jpg
0.438028	e54ad08173094ce294d4db4e69dc31b2	XRD patterns of commercial ceria nanoparticles, ceria nanorods and the standard PDF card of CeO2.	PMC9041545	d1ra05026e-f3.jpg
0.503067	a63b8359dead4bd296fc81ffc1678672	(a) Ce 3d spectra of ceria nanoparticles; (b) Ce 3d XPS spectra of ceria nanorods.	PMC9041545	d1ra05026e-f4.jpg
0.388496	85eed3e8de2444fb8cec4fc7238a1e95	Front SEM images of (a) Nafion 211, (b) Nafion/1% ceria nanoparticles and (c) Nafion/1% ceria nanorods; cross-sectional SEM images of (d and g) Nafion 211, (e and h) Nafion/1% ceria nanoparticles and (f and i) Nafion/1% ceria nanorods.	PMC9041545	d1ra05026e-f5.jpg
0.448788	363b823a1f6a47fab9f1b8ec1d9c447c	Stress as a function of strain for Nafion/1% ceria nanoparticles and Nafion/1% ceria nanorods.	PMC9041545	d1ra05026e-f6.jpg
0.397765	86c638c01fe24a9eb5908f02e8f48689	Front SEM images after 72 h Fenton's degradation tests for (a) Nafion 211, (b) Nafion/1% ceria nanoparticles and (c) Nafion/1% ceria nanorods; (d) fluoride emission for each membrane every 24 h; (e) weight loss of each membrane every 24 h; (f) cerium retention rate after 2 h Fenton's degradation tests for the two composite membranes.	PMC9041545	d1ra05026e-f7.jpg
0.438502	0894a983609d4cc4b4159bd03ac9923e	Cerium migration behavior under an electric field of 1.67 V cm−1 for 5 h at 60 °C and 100% RH.	PMC9041545	d1ra05026e-f8.jpg
0.433149	4b0b441a11e94a3cbda2679eb75d5eb9	(a) Polarization curves, (b) OCV curves, (c) hydrogen crossover current density and (d) cell voltage @ 1000 mA cm−2 (normalized to initial value) recorded every 1000 ADT cycles at a cell voltage at 1000 mA cm−2 for Nafion 211, Nafion/1% ceria nanoparticles and Nafion/1% ceria nanorods.	PMC9041545	d1ra05026e-f9.jpg
0.443427	022a18b445834eac93817536c5005502	Effects of LPS injections on inflammatory and oxidative status markers in bats. ROMs, reactive oxygen metabolites; GPx, glutathione peroxidase; SOD, superoxide dismutase; OXY, non-enzymatic antioxidant capacity. The data are shown as least square means ± s.e. * indicates a significant difference between groups.	PMC9042053	coac028f1.jpg
0.510436	0278d309064747abb6890d4205cd80a1	Structural parameters of silicene.	PMC9042333	d1ra05422h-f1.jpg
0.434623	bb6032b413694270ae4c4aec53fe85a9	Band structure for (a) Si32 cell; (b) Si31P cell without magnetization; (c) Si31P cell with starting magnetization; (d) path in reciprocal space for hexagonal cell.	PMC9042333	d1ra05422h-f2.jpg
0.413226	067f0f15aafe4b8d8186de974ed715b2	Total energy difference dependence of angle between P atoms' local moments.	PMC9042333	d1ra05422h-f3.jpg
0.425992	ec9e91bb9d62443fbeb4c1a3762fdbf7	Band structure for different magnetic configurations of Si62P2 cell: (a) (0,0) without constrained magnetization, (b) (0,0) with constrained magnetization, (c) (−90,90) with constrained magnetization; (d) path in reciprocal space for this cell.	PMC9042333	d1ra05422h-f4.jpg
0.417915	bf6c4b79febc47e980f59eadc7e4813c	(a) Atomic structure of Si62P2 cell with planes passing through the phosphorus atom and its bonds with the nearest silicon atoms; (b) contour plot (in electron per Å3) of changes in electron charge density on the Si–P bond upon rotation of P local magnetic moment.	PMC9042333	d1ra05422h-f5.jpg
0.502193	c3dc3eb0e3374ac58f11354a3bac9b74	Synthetic pathway for preparing Si-PBA.	PMC9042334	d1ra03880j-f1.jpg
0.441839	5d33b3d968934bde80a5baf5f52fdc49	Tensile strengths of the PMMA/ASA alloys.	PMC9042334	d1ra03880j-f10.jpg
0.557563	991f6368232c44c288ca5f80ca922e1f	Stress–strain curves of the PMMA/ASA alloys.	PMC9042334	d1ra03880j-f11.jpg
0.403321	acb4163e03e24d18b0572c8b3adc309f	Proposed structural diagram of ASA.	PMC9042334	d1ra03880j-f12.jpg
0.459629	a57d0add74ba4b9183dbfaccc1a1366b	Synthetic pathway for preparing Si-ASA.	PMC9042334	d1ra03880j-f2.jpg
0.447109	18178a3897f94ec799e60f4520e8ba71	FTIR spectra of the ASA HNPs.	PMC9042334	d1ra03880j-f3.jpg
0.418261	5185db9300f64ae584be9490fa8912ac	Particle-size distributions of the PBA latex particles: (A) ASA-1, (B) ASA-2, (C) ASA-3, (D) ASA-4, (E) ASA-5, and (F) ASA-6.	PMC9042334	d1ra03880j-f4.jpg
0.416013	9d82e20b1e664e3c9e86c8abb91f1d15	TEM image of ASA.	PMC9042334	d1ra03880j-f5.jpg
0.501299	56df0935f7ca43c194c58700a4b099e2	SEM image of the ASA powders.	PMC9042334	d1ra03880j-f6.jpg
0.486478	d86d696be3dc40088b6a7bcb6571a73d	DSC curves of ASA powders.	PMC9042334	d1ra03880j-f7.jpg
0.476215	bf8dd5e9fab74912afc3428819789450	(a) TGA curves of ASA powders. (b) Enlarged view of the TGA curves around the initial decomposition temperature. (c) Enlarged view of the TGA curves in the range 440–560 °C. (d) DTG curves of ASA powders.	PMC9042334	d1ra03880j-f8.jpg
0.415538	80a40c3854274d8492d35bbe54a8d7a2	Impact strengths of the PMMA/ASA alloys.	PMC9042334	d1ra03880j-f9.jpg
0.432336	ffa4c5f276474465ba2f5fc6899f7c72	Schematic diagrams of the laser operation process.	PMC9042371	d1ra06390a-f1.jpg
0.47407	71caf3618d5042e3b2d4579931ce2ace	Schematic process of flame retardant treatment.	PMC9042371	d1ra06390a-f2.jpg
0.442885	8c3857782ac649f5ba288e8bd16d002d	Schematic diagram of the Ag doped ZnO synthesis setup and deposition process.	PMC9042371	d1ra06390a-f3.jpg
0.413281	1db2a34b0fa64ac484b33fefce138fef	(a) Schematic setup showing laser processing at different focal positions. (b) SEM images of LIG. (c) Raman spectrum of LIG and (d) the corresponding 2D/G and D/G peak ratios. (e) Raman spectra of LIG with ZnO nanocrystals and Ag doped ZnO nanocrystals respectively and (f) the corresponding 2D/G and D/G peak ratios.	PMC9042371	d1ra06390a-f4.jpg
0.408695	553a2b49ff854c3a97ec01385de9653e	XRD spectra of (a) ZnO powders and (b) Ag doped ZnO powders.	PMC9042371	d1ra06390a-f5.jpg
0.406653	5c340930cf6547509757df9d0262433c	(a) SEM image of LIG with ZnO. The EDS mapping of (b) carbon, (c) zinc on LIG with ZnO. (d) SEM image of LIG with Ag doped ZnO. The EDS mapping of (e) carbon, (f) zinc and (g) silver of LIG with Ag doped ZnO.	PMC9042371	d1ra06390a-f6.jpg
0.43128	61d0320e4a8141028ceaa92d3f0b8f79	Growth of (a) E. coli and (b) S. aureus colonies in different samples. Reduction in bacteria viability of (c) E. coli and (d) S. aureus in different samples.	PMC9042371	d1ra06390a-f7.jpg
0.480293	fd6030c28a7745dba315911698f67fa6	Schematic diagram of antibacterial mechanism of Ag doped ZnO nanocrystals.	PMC9042371	d1ra06390a-f8.jpg
0.419917	e853848dc7894afd8fd1e071d76774dd	Temperature profile during the AEMD simulation. After enough equilibration at temperature (T1 + T2)/2, the simulation box is split into two regions, i.e., hot and cold regions, which are equilibrated at T1 and T2. Here, T1 > T2, and 〈T1(t1)〉 and 〈T2(t2)〉 are the average temperatures of the regions with t1 < t2. Lz is the length of the simulation box in the z-direction.	PMC9042382	d1ra05393k-f1.jpg
0.410739	00a9330230834a89a7fb1ead8eebb11c	Space-filling view of the 8 × 8 × 8 supercell for a pseudocubic MAPbI3 structure, equilibrated by performing NPT simulations at 330 K. A ball-and-stick view of the unit cells for perfect (left-top panel) and defective crystalline solids containing vacancies such as an MA vacancy (right-top), Pb vacancy (left-bottom) and I vacancy (right-bottom), with average bond lengths of LPb−Pb denoted by red-colored arrows and LI−I by blue-colored arrows. Color legends are dark gray for Pb, pink for I, purple for N, brown for C and white for H.	PMC9042382	d1ra05393k-f2.jpg
0.45	5517c6d30658488ebdcf8f952faa01dd	(a) The average temperature difference ΔT as simulation time progresses, with increasing simulation box size Lz, fitted to an exponential function. The inset shows ΔT as a function of simulation time for real values (orange-colored line) and the fitting line (black-colored smooth line) for the case of Lz = 152 nm. (b) The calculated inverse of thermal conductivity 1/κ with different sizes Lz, and linear extrapolation of 1/κ vs. 1/Lz.	PMC9042382	d1ra05393k-f3.jpg
0.446983	32516ffaaf5a410ab453b59cd7972c4f	Principal thermal conductivity in each Cartesian direction, including κx (a), κy (b) and κz (c), and the volumetric thermal conductivity κv (d) as their average for perfect MAPbI3. After a simulation time of 4 ns, the thermal conductivity is found to converge well to a certain value. The insets show the heat flux auto-correlation function (HFACF) and lattice thermal conductivity as a function of correlation time, which are found to converge well to zero and a certain value after 10 ps.	PMC9042382	d1ra05393k-f4.jpg
0.38832	0960fd5004d042319853c9104e2b885a	Thermal conductivity of perfect MAPbI3 as a function of temperature. The inset shows two points for tetragonal and pseudocubic phases at 330 K. Blue-colored dotted lines represent the previous data (exp.a (ref. 13), sim.b (ref. 18) and sim.c ref. 15)) with a rapid jump around the phase transition temperature of 330 K, while red-colored dotted lines show the data without a jump (exp.d (ref. 5), exp.e (ref. 6), exp.f (ref. 14) and sim.g (ref. 17)).	PMC9042382	d1ra05393k-f5.jpg
0.483993	fc69c9d689ed452195d384a4a6a4fee6	Thermal conductivity of defective MAPbI3 in the pseudocubic phase as a function of (a) simulation time and (b) vacancy concentration – MA vacancy VMA, Pb vacancy VPb and I vacancy VI.	PMC9042382	d1ra05393k-f6.jpg
0.517093	99b84df1b0b5430c8ec6eba82f5cbd05	Thermal conductivity vs. shear modulus and sound velocity for defective MAPbI3. Dashed lines are to guide the eye.	PMC9042382	d1ra05393k-f7.jpg
0.384321	a380418343524877a83d19900d2d08ff	Identification of appropriate NaHCO3 concentration for genome-wide screening using plate SGA-V2-2. (A) The different colored boxes frame the growth of the same mutant on 0 and 40 mM NaHCO3, respectively. (Red: rvs161Δ; Green: ste50Δ; and Blue: pho2Δ). Compared with the control, the same strains in the experimental group of 40 mM NaHCO3 showed obvious growth defects. (B) The colony sizes of the framed strains in (A) were analyzed. Error bars indicate standard error. p < 0.01; *p < 0.001; Student’s t-test.	PMC9042421	fmicb-13-831973-g001.jpg
0.399858	932d7122f1cb4ee7a6908d88d286e6b3	Spot test of the 33 selected deletion mutants. The control strain and deletion mutants were grown to mid-log phase in YPD + G418 liquid medium and then diluted to an OD600 = 0.5. Each strain was serially diluted in a 10-fold gradient and 5 μl were spotted onto YPD + G418 agar plates either containing 0 mM NaHCO3 or 40 mM NaHCO3 and incubated at 30°C. Plates were photographed after 48 h.	PMC9042421	fmicb-13-831973-g002.jpg
0.44837	e3f1ee4b3797414c81c188e3e5ac39ce	Enrichment and localization analysis of the 33 selected genes. (A) Functional classification of the 33 genes. (B) Cellular localization of the 33 selected genes. These genes are distributed in the cytoplasm, nucleus, Golgi, vacuole, endoplasmic reticulum, and mitochondrion. (C) Venn diagram analysis of the 33 selected genes vs. the 238 and 64 genes whose deletion results in growth defects under alkaline and saline stress, respectively.	PMC9042421	fmicb-13-831973-g003.jpg
0.406773	6ff25e3056024ababf2abd2067536e6f	Spot test of the 33 selected deletion mutants under stresses with the same pH and Na+ concentration as 40 mM NaHCO3. The control strain and deletion mutants were grown to mid-log phase in YPD + G418 liquid medium and then diluted to an OD600 = 0.5. Each strain was serially diluted in a 10-fold gradient and 5 μl were spotted onto differently treated agar plates. The pH = 7.15 plates were adjusted with NaOH. Plates were incubated at 30°C and photographed after 48 h.	PMC9042421	fmicb-13-831973-g004.jpg
0.428676	2b91eb0428bd4381abd3a9a027a29efb	Transcriptional analysis of gene expression under NaHCO3 treatment. (A) Growth curve of BY4741 under different concentrations of NaHCO3. (B) Venn diagram analysis of 451 upregulated genes under NaHCO3 stress vs. the 854 and 957 genes which also are upregulated under alkaline and saline stress, respectively. (C) Venn diagram analysis of 288 downregulated genes under NaHCO3 stress vs. the 608 and 489 genes, which are also downregulated under alkaline and saline stress, respectively. (D) GO enrichment analysis of 309 upregulated and 233 downregulated genes that only respond to NaHCO3 stress. (E) KEGG enrichment analysis of 309 upregulated and 233 downregulated genes that only respond to NaHCO3 stress.	PMC9042421	fmicb-13-831973-g005.jpg
0.421554	eb887836dcd4446c9b7e5db5fa640d7f	Previous works on the design and synthesis of open-shell or high-spin π-conjugated organic molecules.a Resonance structures of several open-shell π-conjugated organic molecules. b Some representative open-shell or high-spin organic semiconductors and their charge carrier mobilities.	PMC9042904	41467_2022_29918_Fig1_HTML.jpg
0.40299	ee4de94629864c8c9a9d10a0dc7d8502	Computer-aided polymer building block screening approach to the rational design of high-spin ground-state semiconducting polymers.DFT Calculated ΔES-T values of a “large fused aromatic” and b “small-size aromatic” building blocks used in high-mobility semiconducting polymers; c The closed-shell and open-shell resonance structures of TDPP. d The closed-shell and open-shell resonance structures of BT, TQ, and BBT.	PMC9042904	41467_2022_29918_Fig2_HTML.jpg
0.452432	57be11b996024ec9b17759fb9ae1dbfb	Chemical structure and characterization.a Molecular structures of three semiconducting polymers. “Ar” is the aromatic building block. b UV–vis–NIR absorption spectra of the polymers in ODCB solution (1 × 10−5 M). c Calculated potential energy scans (PES) of the dihedral angles φ between the TDPP and three BT derivatives.	PMC9042904	41467_2022_29918_Fig3_HTML.jpg
0.483591	bf2da00425454aeb80c6ee802adbae6b	Magnetic property characterization and DFT calculation.a Room temperature EPR signals of the polymers in the solid state; b variable temperature EPR of p(TDPP-BBT) in the solid state; c the half field line of p(TDPP-BBT) in the solid state: \|Δms\| = 2 signal (g factor = 3.9981, the theoretical value: g = 4.0046); d temperature-dependent EPR of p(TDPP-BBT) in 1 × 10−3 M o-xylene and e the corresponding Bleaney-Bowers equation fitting result; f temperature-dependent magnetic susceptibility from 2 K to 300 K. Solid squares are data, solid lines are linear fitting lines. g spin density distribution of the triplet states of the oligomers (n = 6) of p(TDPP-BT) (top), p(TDPP-TQ) (middle), p(TDPP-BBT) (bottom). DFT calculations were performed at the UB3LYP/6-31 G** level. Atoms’ colors: gray for C, red for O, blue for N, yellow for S, and white for H.	PMC9042904	41467_2022_29918_Fig4_HTML.jpg
0.453569	a6e31e82923f4345887e2892acf532db	Magnetic characterization and the mechanism explanation of the different spin ground states of high-spin polymers.Field dependent magnetization measurement of a p(TDPP-TQ) and b p(TDPP-BBT) from 0 Oe to 50,000 Oe. The solid squares are the experimental data, the solid lines stand for the simulated curve by Brillouin equation. The simulation results exhibit the S = 1 and S = 1/2 ground states of p(TDPP-TQ) and p(TDPP-BBT). c Schematic illustration of the mechanism of the different ground states of p(TDPP-TQ) and p(TDPP-BBT). Left image shows the microstructure of a typical polymer film, which contains ordered crystalline regions (highlighted in darker yellow) and amorphous regions. Right image illustrates the spin-spin interactions in solid state. The orange shadings on the polymers indicate where the spins mostly distribute. In p(TDPP-TQ), the low spin density makes the spins mostly interact within a chain. While in p(TDPP-BBT), we observed interchain spin-spin interactions because of its high spin density.	PMC9042904	41467_2022_29918_Fig5_HTML.jpg
0.433199	6de8febc622a43ecbf54722826006d37	Thin film morphology and device characterization.2D-grazing incidence wide-angle X-ray scattering (GIWAXS) pattern of a p(TDPP-BT), b p(TDPP-TQ), c p(TDPP-BBT). d Typical transfer characteristics of a p(TDPP-TQ) FET device. e N-type electrical conductivities of p(TDPP-TQ) doped by N-DMBI with different ratios; f P-type electrical conductivities of p(TDPP-TQ) doped by immersing in 10 mM FeCl3 solution. Error bars indicate the standard deviation of ten experimental replicates.	PMC9042904	41467_2022_29918_Fig6_HTML.jpg
0.434024	0e69865823dc46f794ec23e449ee2f52	BMTS survivors’ participation flow diagram.	PMC9043940	advancesADV2021006300f1.jpg
0.473567	f8a0de33c384405497fb736e76a3feda	BMTS sibling and survivor participation flow diagram.	PMC9043940	advancesADV2021006300f2.jpg
0.343973	b656de31091c41a584fc6a7136b7bb29	Odds ratio of no live birth after BMT.	PMC9043940	advancesADV2021006300f3.jpg
0.437836	f0f5d522ca614e008fd6d9ddf54a4295	Familiarity with artificial intelligence in medicine (AIM)—comparison between medical doctor (MD) and medical student (MS; y-axis: means and SDs). ML: machine learning.	PMC9044144	mededu_v8i2e34973_fig1.jpg
0.368889	490c98d8f58744eb93ea8fabb17d5d5a	Last time that medical doctor (MD) and medical student (MS) attended a course on artificial intelligence in medicine (AIM; y-axis: percentages).	PMC9044144	mededu_v8i2e34973_fig2.jpg
0.432108	3feadfd2c6a64dd29614cf5281a15b5b	Reasons to attend a course on artificial intelligence in medicine (AIM)—comparison between medical doctor (MD) and medical student (MS; y-axis: means and SDs).	PMC9044144	mededu_v8i2e34973_fig3.jpg
0.421336	fcaf8238046e443cb6a9d69bc6eddaa7	Challenges to artificial intelligence in medicine’s (AIM) implementation—comparison between medical doctor (MD) and medical student (MS; y-axis: means and SDs).	PMC9044144	mededu_v8i2e34973_fig4.jpg
0.435868	788b4d05499a4532880fcef4403a595e	Barriers to artificial intelligence in medicine’s (AIM) implementation—comparison between medical doctor (MD) and medical student (MS; y-axis: means and SDs).	PMC9044144	mededu_v8i2e34973_fig5.jpg
0.509065	2ec734087690454a978a3e4fe30db810	Risks linked to artificial intelligence in medicine’s (AIM) implementation—comparison between medical doctor (MD) and medical student (MS; y-axis: means and SDs).	PMC9044144	mededu_v8i2e34973_fig6.jpg
0.44108	865f724514b842cfa2155472e4c49445	Working with an artificial intelligence (AI) algorithm—results (y-axis: percentages).	PMC9044144	mededu_v8i2e34973_fig7.jpg
0.422037	7693cd42f57847ac8ee8e3fffe152fb0	Energy profile of the interconversion of 6c.	PMC9044195	d1ra08635a-f1.jpg
0.481846	c555e77cd5394daf8efb03b2dd8e0510	XRD patterns of xLiI·(1 − x)Li4SnS4 (x = 0, 0.40–0.50). The left part is the enlarged XRD pattern between 22–32°.	PMC9044197	d1ra06466e-f1.jpg
0.492475	2ac1acc2330c42ddbc28e05f4fbf9460	(a) The ionic conductivities of x = 0.40–0.50 in xLiI·(1 − x)Li4SnS4 at 25 °C and 60 °C. (b) G(r) and (c) Raman spectra of x = 0 and 0.43 in xLiI·(1 − x)Li4SnS4. The Sn–S correlation in the SnS4 tetrahedra corresponds to r = 2.4 Å. (d) DSC curves of x = 0 and 0.43. The heating rate was 10 °C min−1. The arrows indicate heat treatment (HT) temperatures for heat-treated samples.	PMC9044197	d1ra06466e-f2.jpg
0.46486	069af2149fee454e8e9e9d82656f95c2	(a) XRD patterns of z = 0, 0.37, 0.40, 0.43, 0.45 and 0.50 in as-milled zLiI·(1 − z)(0.4Li3PS4·0.6Li4SnS4). (b) DSC curves of z = 0.37 and 0.43. The heating rate was 10 °C min−1. The arrows indicated heat treatment (HT) temperatures for heat-treated samples. (c) XRD patterns of z = 0.37 and 0.43 heated at 200/240 °C and 230 °C, respectively and Li4SnS4.	PMC9044197	d1ra06466e-f3.jpg
0.433717	55960d3d2c1b4342b835206f13677eb6	(a) Temperature dependence of ionic conductivities of x = 0 and x = 0.43 samples in xLiI·(1 − x)Li4SnS4 and z = 0.37 (before and after the heat treatment at 200 °C) and z = 0.43 in zLiI·(1 − z)(0.4Li3PS4·0.6Li4SnS4). (b) Discharge capacities of the all-solid-state cells where x = 0, x = 0.43 and z = 0.37 (heating at 200 °C) at rates of 0.1, 0.2, 0.5, and 1C.	PMC9044197	d1ra06466e-f4.jpg
0.409757	29e7e6284c584ce5986bd26eda12ebd3	(a) H2S generation when the solid electrolyte powder was sealed in a desiccator filled with air (50% RH) at 25 °C for 210 s. The following samples were examined: Li5.5PS4.5Cl1.5, Li3PS4 glass, x = 0 and x = 0.43 in xLiI·(1 − x)Li4SnS4 and z = 0.37 (heating at 200 °C) and z = 0.43 in zLiI·(1 − z)(0.4Li3PS4·0.6Li4SnS4). The amount of solid electrolyte employed was 2 mg for Li5.5PS4.5Cl1.5 and 50 mg for all others. (b) H2S generation from the various solid electrolytes with the exception of Li5.5PS4.5Cl1.5. The measurement time was 60 min.	PMC9044197	d1ra06466e-f5.jpg
0.446074	4af0fe936b274533bc5a8eb51d25da7c	Architecture of proposed work.	PMC9044351	peerj-cs-08-881-g001.jpg
0.469294	6e59fee4d7fc4154bbe96095e5239b24	Pre-processing.	PMC9044351	peerj-cs-08-881-g002.jpg
0.452623	a3dc20ca33fd4028a7669d28e5d6e907	DBN with RBM.	PMC9044351	peerj-cs-08-881-g003.jpg
0.405573	5436306576e84461bf747a975738f6ac	Error rate in accuracy.	PMC9044351	peerj-cs-08-881-g004.jpg
0.440817	13707f3b022b43519005a5f32dc36a86	Computation time.	PMC9044351	peerj-cs-08-881-g005.jpg
0.372667	8690ac04e1894c08afe4d58f3704b703	Training & validation accuracy and loss in proposed work.	PMC9044351	peerj-cs-08-881-g006.jpg
0.451577	f7373be9ce4f47a1bf7d882c4aec482c	The prognostic value of PMEPA1 expression in CC. (a) K-M curves of OS in CC sufferers. (b) K-M curves of progress-free survival in CC sufferers. (c) Time-dependent ROC curves based on PMEPA1 expression. (d) The expression of PMEPA1 in 306 CC specimens and 3 normal cervical specimens from TCGA datasets. (e, f) The univariable and multivariable Cox regressive analysis of PMEPA1 expression and clinic characteristics regarding prognostic value.	PMC9045981	JIR2022-4510462.001.jpg
0.411306	873d20da610349b09772306baf850d3c	The distribution of 23 PMEPA1 DNA promoter CpG sites.	PMC9045981	JIR2022-4510462.002.jpg
0.429965	031bf9b795ae40679c62e6419a796bc4	Correlation analysis of PMEPA1 mRNA expression with DNA methylation. (a) The expression of PMEPA1 was negatively regulated by PMEPA1 DNA methylation. (b)–(i) Correlation analysis of PMEPA1 mRNA with the methylation of (b) cg26912636, (c) cg20208990, (d) cg19777900, (e) cg08567517, (f) cg12502441, (g) cg07143805, (h) cg12514933, and (i) cg00138126.	PMC9045981	JIR2022-4510462.003.jpg
0.440854	8aea510a9be344ce92c71f11641b18d8	Survival analysis of PMEPA1 CpG site methylation in CC. (a, b) High levels ofcg17482197 and cg08583507 showed a poor prognosis. (c) Low levels of cg12502441 showed a poor prognosis in CC patients.	PMC9045981	JIR2022-4510462.004.jpg
0.476293	052b3ce95e22412ea18052a9714305c6	The association between PMEPA1 expression/methylation and clinicopathologic characteristics in CC, patients. (a)–(c) The association between PMEPA1 expressing and (a) age, (b) stage, and (c) grade in CC patients. (d)–(F) The association between PMEPA1 methylation and (d) age, (e) stage, and (f) grade in CC patients.	PMC9045981	JIR2022-4510462.005.jpg

0.422659

c6abec1b31cf4db78e7cf47924a35367

Analyzed video data for θ1 and θ2 of a free drop double pendulum with associated standard deviation of calculation for θ1 and θ2 underneath.

PMC9041261

gr14.jpg

0.443331

8836cd6cdd494952a318df6ea0d0e04f

Reduced double pendulum model for two simple, symmetric links and the free body diagrams for the (a) upper and (b) lower links.

PMC9041261

gr15.jpg

0.401561

bcaf28211267407c953840b4a6071142

Zoomed-in section of the energy profile between experimental and simulated energy loss at beginning of drop.

PMC9041261

gr16.jpg

0.442212

9494be1cb57743c9b7ae2c77b62f2248

Damping parameter optimization results for three trials of the free-drop double pendulum.

PMC9041261

gr17.jpg

0.421426

c42021aadadc4d2fba2b9b5b9e3e81dc

Double pendulum reference angles and datum.

PMC9041261

gr18.jpg

0.548851

c62e443385054370a0f30de2ce7135d7

Schematic of the ball bearing used (the retainer ring is not shown).

PMC9041261

gr19.jpg

0.433231

59f0b625a518426ea4c79b3797e686fa

Mechanical drawing overview figure for manufactured components.

PMC9041261

gr2.jpg

0.42297

15244834f9cf49f5956528ffaf3e11d6

Two possible configurations for the double pendulum. The left configuration is the one we used in this paper, which has fewer bearings than the configuration on the right. See Table 5 for the corresponding bearing angular velocity expressions.

PMC9041261

gr20.jpg

0.438761

b955397c3471425a85b4528b9d5632ca

Calibration line for the encoder used to measure the angle of the top link of the double pendulum.

PMC9041261

gr21.jpg

0.474838

ee66877df238462ab6d74653f7ee597c

Visual representation of two methods for calculating ϕ using video data: method 1 on the left and method 2 on the right.

PMC9041261

gr22.jpg

0.471326

3e1debfdd1fa418786504f2366fe6e4b

Double pendulum diagram showing node assignment on the left and ϕ1 and ϕ2 reference on the right.

PMC9041261

gr23.jpg

0.442676

5e52f1f7030845e9ac231749291d912b

Example showing how ϕ2(t) is found using the original down configuration and a later configuration at time t for the vector between nodes n3 and n4.

PMC9041261

gr24.jpg

0.522426

a92a8c86f985424a9e7bbada07ae3b1a

Mechanical drawing of the machined upper (top figure) and lower (bottom figure) links (items 4 and 6 from Fig. 2). All dimensions are in inches.

PMC9041261

gr3.jpg

0.427902

4ee09f56867d43299b28518ddd5ad761

Mechanical drawing of 3D printed components (dimensions are in inches): (top left and center) 3D printed upper and lower pendulum arm trackers (items 3 and 5 from Fig. 2), top right) encoder mount flange (item 1 from Fig. 2bottom) encoder mount housing (item 2 from Fig. 2).

PMC9041261

gr4.jpg

0.368899

d97102bec261482093b417081a977cf2

Flow chart of electronics used: 24 V DC from power supply to power pendulum encoder, which is recorded using a DAQ and with a high speed camera. The recorded data is then stored directly on a PC.

PMC9041261

gr5.jpg

0.417353

ecec34d99cdf4a2391059052eb0824dc

Double pendulum marker function and node locating. (a) shows the high contrast locations at the markers and (b) shows the location output from using the center of the moment contours from openCV.

PMC9041261

gr6.jpg

0.405917

5ec3c3becbe440889d9b59df82059498

Example process of the two dimensional rigid body tracking algorithm with occlusions using a nearest neighbor scheme for the double pendulum lower link.

PMC9041261

gr7.jpg

0.455273

95d730a64c0f443eadb781182b130db9

Rendering of assembled base for double pendulum.

PMC9041261

gr8.jpg

0.397577

7bb85ee5cd4249c0a309d60ac26631ce

Rendering of linkage assembly process.

PMC9041261

gr9.jpg

0.477633

98166b2195d14289816447f7953cd886

Scheme of ceria radical scavenging mechanism.

PMC9041545

d1ra05026e-f1.jpg

0.374609

a66acaf28d6541cc8ec212be8c14db1c

SEM images of MEA containing Nafion/1% ceria nanoparticles (a) before and (b) after 10 000 ADT cycles; SEM images of MEA containing Nafion/1% ceria nanorods (c) before and (d) after 10 000 ADT cycles. The second and third rows are the EDS maps of fluorine and cerium corresponding to the SEM images in each column.

PMC9041545

d1ra05026e-f10.jpg

0.43773

c4691054353145afb3163320dc8d8e12

TEM images of ceria nanorods with different scale bars. The concentrations of Ce(NO3)3·6H2O solution and NaOH solution were 0.6 M and 18.4 M, respectively.

PMC9041545

d1ra05026e-f2.jpg

0.438028

e54ad08173094ce294d4db4e69dc31b2

XRD patterns of commercial ceria nanoparticles, ceria nanorods and the standard PDF card of CeO2.

PMC9041545

d1ra05026e-f3.jpg

0.503067

a63b8359dead4bd296fc81ffc1678672

(a) Ce 3d spectra of ceria nanoparticles; (b) Ce 3d XPS spectra of ceria nanorods.

PMC9041545

d1ra05026e-f4.jpg

0.388496

85eed3e8de2444fb8cec4fc7238a1e95

Front SEM images of (a) Nafion 211, (b) Nafion/1% ceria nanoparticles and (c) Nafion/1% ceria nanorods; cross-sectional SEM images of (d and g) Nafion 211, (e and h) Nafion/1% ceria nanoparticles and (f and i) Nafion/1% ceria nanorods.

PMC9041545

d1ra05026e-f5.jpg

0.448788

363b823a1f6a47fab9f1b8ec1d9c447c

Stress as a function of strain for Nafion/1% ceria nanoparticles and Nafion/1% ceria nanorods.

PMC9041545

d1ra05026e-f6.jpg

0.397765

86c638c01fe24a9eb5908f02e8f48689

Front SEM images after 72 h Fenton's degradation tests for (a) Nafion 211, (b) Nafion/1% ceria nanoparticles and (c) Nafion/1% ceria nanorods; (d) fluoride emission for each membrane every 24 h; (e) weight loss of each membrane every 24 h; (f) cerium retention rate after 2 h Fenton's degradation tests for the two composite membranes.

PMC9041545

d1ra05026e-f7.jpg

0.438502

0894a983609d4cc4b4159bd03ac9923e

Cerium migration behavior under an electric field of 1.67 V cm−1 for 5 h at 60 °C and 100% RH.

PMC9041545

d1ra05026e-f8.jpg

0.433149

4b0b441a11e94a3cbda2679eb75d5eb9

(a) Polarization curves, (b) OCV curves, (c) hydrogen crossover current density and (d) cell voltage @ 1000 mA cm−2 (normalized to initial value) recorded every 1000 ADT cycles at a cell voltage at 1000 mA cm−2 for Nafion 211, Nafion/1% ceria nanoparticles and Nafion/1% ceria nanorods.

PMC9041545

d1ra05026e-f9.jpg

0.443427

022a18b445834eac93817536c5005502

Effects of LPS injections on inflammatory and oxidative status markers in bats. ROMs, reactive oxygen metabolites; GPx, glutathione peroxidase; SOD, superoxide dismutase; OXY, non-enzymatic antioxidant capacity. The data are shown as least square means ± s.e. * indicates a significant difference between groups.

PMC9042053

coac028f1.jpg

0.510436

0278d309064747abb6890d4205cd80a1

Structural parameters of silicene.

PMC9042333

d1ra05422h-f1.jpg

0.434623

bb6032b413694270ae4c4aec53fe85a9

Band structure for (a) Si32 cell; (b) Si31P cell without magnetization; (c) Si31P cell with starting magnetization; (d) path in reciprocal space for hexagonal cell.

PMC9042333

d1ra05422h-f2.jpg

0.413226

067f0f15aafe4b8d8186de974ed715b2

Total energy difference dependence of angle between P atoms' local moments.

PMC9042333

d1ra05422h-f3.jpg

0.425992

ec9e91bb9d62443fbeb4c1a3762fdbf7

Band structure for different magnetic configurations of Si62P2 cell: (a) (0,0) without constrained magnetization, (b) (0,0) with constrained magnetization, (c) (−90,90) with constrained magnetization; (d) path in reciprocal space for this cell.

PMC9042333

d1ra05422h-f4.jpg

0.417915

bf6c4b79febc47e980f59eadc7e4813c

(a) Atomic structure of Si62P2 cell with planes passing through the phosphorus atom and its bonds with the nearest silicon atoms; (b) contour plot (in electron per Å3) of changes in electron charge density on the Si–P bond upon rotation of P local magnetic moment.

PMC9042333

d1ra05422h-f5.jpg

0.502193

c3dc3eb0e3374ac58f11354a3bac9b74

Synthetic pathway for preparing Si-PBA.

PMC9042334

d1ra03880j-f1.jpg

0.441839

5d33b3d968934bde80a5baf5f52fdc49

Tensile strengths of the PMMA/ASA alloys.

PMC9042334

d1ra03880j-f10.jpg

0.557563

991f6368232c44c288ca5f80ca922e1f

Stress–strain curves of the PMMA/ASA alloys.

PMC9042334

d1ra03880j-f11.jpg

0.403321

acb4163e03e24d18b0572c8b3adc309f

Proposed structural diagram of ASA.

PMC9042334

d1ra03880j-f12.jpg

0.459629

a57d0add74ba4b9183dbfaccc1a1366b

Synthetic pathway for preparing Si-ASA.

PMC9042334

d1ra03880j-f2.jpg

0.447109

18178a3897f94ec799e60f4520e8ba71

FTIR spectra of the ASA HNPs.

PMC9042334

d1ra03880j-f3.jpg

0.418261

5185db9300f64ae584be9490fa8912ac

Particle-size distributions of the PBA latex particles: (A) ASA-1, (B) ASA-2, (C) ASA-3, (D) ASA-4, (E) ASA-5, and (F) ASA-6.

PMC9042334

d1ra03880j-f4.jpg

0.416013

9d82e20b1e664e3c9e86c8abb91f1d15

TEM image of ASA.

PMC9042334

d1ra03880j-f5.jpg

0.501299

56df0935f7ca43c194c58700a4b099e2

SEM image of the ASA powders.

PMC9042334

d1ra03880j-f6.jpg

0.486478

d86d696be3dc40088b6a7bcb6571a73d

DSC curves of ASA powders.

PMC9042334

d1ra03880j-f7.jpg

0.476215

bf8dd5e9fab74912afc3428819789450

(a) TGA curves of ASA powders. (b) Enlarged view of the TGA curves around the initial decomposition temperature. (c) Enlarged view of the TGA curves in the range 440–560 °C. (d) DTG curves of ASA powders.

PMC9042334

d1ra03880j-f8.jpg

0.415538

80a40c3854274d8492d35bbe54a8d7a2

Impact strengths of the PMMA/ASA alloys.

PMC9042334

d1ra03880j-f9.jpg

0.432336

ffa4c5f276474465ba2f5fc6899f7c72

Schematic diagrams of the laser operation process.

PMC9042371

d1ra06390a-f1.jpg

0.47407

71caf3618d5042e3b2d4579931ce2ace

Schematic process of flame retardant treatment.

PMC9042371

d1ra06390a-f2.jpg

0.442885

8c3857782ac649f5ba288e8bd16d002d

Schematic diagram of the Ag doped ZnO synthesis setup and deposition process.

PMC9042371

d1ra06390a-f3.jpg

0.413281

1db2a34b0fa64ac484b33fefce138fef

(a) Schematic setup showing laser processing at different focal positions. (b) SEM images of LIG. (c) Raman spectrum of LIG and (d) the corresponding 2D/G and D/G peak ratios. (e) Raman spectra of LIG with ZnO nanocrystals and Ag doped ZnO nanocrystals respectively and (f) the corresponding 2D/G and D/G peak ratios.

PMC9042371

d1ra06390a-f4.jpg

0.408695

553a2b49ff854c3a97ec01385de9653e

XRD spectra of (a) ZnO powders and (b) Ag doped ZnO powders.

PMC9042371

d1ra06390a-f5.jpg

0.406653

5c340930cf6547509757df9d0262433c

(a) SEM image of LIG with ZnO. The EDS mapping of (b) carbon, (c) zinc on LIG with ZnO. (d) SEM image of LIG with Ag doped ZnO. The EDS mapping of (e) carbon, (f) zinc and (g) silver of LIG with Ag doped ZnO.

PMC9042371

d1ra06390a-f6.jpg

0.43128

61d0320e4a8141028ceaa92d3f0b8f79

Growth of (a) E. coli and (b) S. aureus colonies in different samples. Reduction in bacteria viability of (c) E. coli and (d) S. aureus in different samples.

PMC9042371

d1ra06390a-f7.jpg

0.480293

fd6030c28a7745dba315911698f67fa6

Schematic diagram of antibacterial mechanism of Ag doped ZnO nanocrystals.

PMC9042371

d1ra06390a-f8.jpg

0.419917

e853848dc7894afd8fd1e071d76774dd

Temperature profile during the AEMD simulation. After enough equilibration at temperature (T1 + T2)/2, the simulation box is split into two regions, i.e., hot and cold regions, which are equilibrated at T1 and T2. Here, T1 > T2, and 〈T1(t1)〉 and 〈T2(t2)〉 are the average temperatures of the regions with t1 < t2. Lz is the length of the simulation box in the z-direction.

PMC9042382

d1ra05393k-f1.jpg

0.410739

00a9330230834a89a7fb1ead8eebb11c

Space-filling view of the 8 × 8 × 8 supercell for a pseudocubic MAPbI3 structure, equilibrated by performing NPT simulations at 330 K. A ball-and-stick view of the unit cells for perfect (left-top panel) and defective crystalline solids containing vacancies such as an MA vacancy (right-top), Pb vacancy (left-bottom) and I vacancy (right-bottom), with average bond lengths of LPb−Pb denoted by red-colored arrows and LI−I by blue-colored arrows. Color legends are dark gray for Pb, pink for I, purple for N, brown for C and white for H.

PMC9042382

d1ra05393k-f2.jpg

0.45

5517c6d30658488ebdcf8f952faa01dd

(a) The average temperature difference ΔT as simulation time progresses, with increasing simulation box size Lz, fitted to an exponential function. The inset shows ΔT as a function of simulation time for real values (orange-colored line) and the fitting line (black-colored smooth line) for the case of Lz = 152 nm. (b) The calculated inverse of thermal conductivity 1/κ with different sizes Lz, and linear extrapolation of 1/κ vs. 1/Lz.

PMC9042382

d1ra05393k-f3.jpg

0.446983

32516ffaaf5a410ab453b59cd7972c4f

Principal thermal conductivity in each Cartesian direction, including κx (a), κy (b) and κz (c), and the volumetric thermal conductivity κv (d) as their average for perfect MAPbI3. After a simulation time of 4 ns, the thermal conductivity is found to converge well to a certain value. The insets show the heat flux auto-correlation function (HFACF) and lattice thermal conductivity as a function of correlation time, which are found to converge well to zero and a certain value after 10 ps.

PMC9042382

d1ra05393k-f4.jpg

0.38832

0960fd5004d042319853c9104e2b885a

Thermal conductivity of perfect MAPbI3 as a function of temperature. The inset shows two points for tetragonal and pseudocubic phases at 330 K. Blue-colored dotted lines represent the previous data (exp.a (ref. 13), sim.b (ref. 18) and sim.c ref. 15)) with a rapid jump around the phase transition temperature of 330 K, while red-colored dotted lines show the data without a jump (exp.d (ref. 5), exp.e (ref. 6), exp.f (ref. 14) and sim.g (ref. 17)).

PMC9042382

d1ra05393k-f5.jpg

0.483993

fc69c9d689ed452195d384a4a6a4fee6

Thermal conductivity of defective MAPbI3 in the pseudocubic phase as a function of (a) simulation time and (b) vacancy concentration – MA vacancy VMA, Pb vacancy VPb and I vacancy VI.

PMC9042382

d1ra05393k-f6.jpg

0.517093

99b84df1b0b5430c8ec6eba82f5cbd05

Thermal conductivity vs. shear modulus and sound velocity for defective MAPbI3. Dashed lines are to guide the eye.

PMC9042382

d1ra05393k-f7.jpg

0.384321

a380418343524877a83d19900d2d08ff

Identification of appropriate NaHCO3 concentration for genome-wide screening using plate SGA-V2-2. (A) The different colored boxes frame the growth of the same mutant on 0 and 40 mM NaHCO3, respectively. (Red: rvs161Δ; Green: ste50Δ; and Blue: pho2Δ). Compared with the control, the same strains in the experimental group of 40 mM NaHCO3 showed obvious growth defects. (B) The colony sizes of the framed strains in (A) were analyzed. Error bars indicate standard error. **p < 0.01; ***p < 0.001; Student’s t-test.

PMC9042421

fmicb-13-831973-g001.jpg

0.399858

932d7122f1cb4ee7a6908d88d286e6b3

Spot test of the 33 selected deletion mutants. The control strain and deletion mutants were grown to mid-log phase in YPD + G418 liquid medium and then diluted to an OD600 = 0.5. Each strain was serially diluted in a 10-fold gradient and 5 μl were spotted onto YPD + G418 agar plates either containing 0 mM NaHCO3 or 40 mM NaHCO3 and incubated at 30°C. Plates were photographed after 48 h.

PMC9042421

fmicb-13-831973-g002.jpg

0.44837

e3f1ee4b3797414c81c188e3e5ac39ce

Enrichment and localization analysis of the 33 selected genes. (A) Functional classification of the 33 genes. (B) Cellular localization of the 33 selected genes. These genes are distributed in the cytoplasm, nucleus, Golgi, vacuole, endoplasmic reticulum, and mitochondrion. (C) Venn diagram analysis of the 33 selected genes vs. the 238 and 64 genes whose deletion results in growth defects under alkaline and saline stress, respectively.

PMC9042421

fmicb-13-831973-g003.jpg

0.406773

6ff25e3056024ababf2abd2067536e6f

Spot test of the 33 selected deletion mutants under stresses with the same pH and Na+ concentration as 40 mM NaHCO3. The control strain and deletion mutants were grown to mid-log phase in YPD + G418 liquid medium and then diluted to an OD600 = 0.5. Each strain was serially diluted in a 10-fold gradient and 5 μl were spotted onto differently treated agar plates. The pH = 7.15 plates were adjusted with NaOH. Plates were incubated at 30°C and photographed after 48 h.

PMC9042421

fmicb-13-831973-g004.jpg

0.428676

2b91eb0428bd4381abd3a9a027a29efb

Transcriptional analysis of gene expression under NaHCO3 treatment. (A) Growth curve of BY4741 under different concentrations of NaHCO3. (B) Venn diagram analysis of 451 upregulated genes under NaHCO3 stress vs. the 854 and 957 genes which also are upregulated under alkaline and saline stress, respectively. (C) Venn diagram analysis of 288 downregulated genes under NaHCO3 stress vs. the 608 and 489 genes, which are also downregulated under alkaline and saline stress, respectively. (D) GO enrichment analysis of 309 upregulated and 233 downregulated genes that only respond to NaHCO3 stress. (E) KEGG enrichment analysis of 309 upregulated and 233 downregulated genes that only respond to NaHCO3 stress.

PMC9042421

fmicb-13-831973-g005.jpg

0.421554

eb887836dcd4446c9b7e5db5fa640d7f

Previous works on the design and synthesis of open-shell or high-spin π-conjugated organic molecules.a Resonance structures of several open-shell π-conjugated organic molecules. b Some representative open-shell or high-spin organic semiconductors and their charge carrier mobilities.

PMC9042904

41467_2022_29918_Fig1_HTML.jpg

0.40299

ee4de94629864c8c9a9d10a0dc7d8502

Computer-aided polymer building block screening approach to the rational design of high-spin ground-state semiconducting polymers.DFT Calculated ΔES-T values of a “large fused aromatic” and b “small-size aromatic” building blocks used in high-mobility semiconducting polymers; c The closed-shell and open-shell resonance structures of TDPP. d The closed-shell and open-shell resonance structures of BT, TQ, and BBT.

PMC9042904

41467_2022_29918_Fig2_HTML.jpg

0.452432

57be11b996024ec9b17759fb9ae1dbfb

Chemical structure and characterization.a Molecular structures of three semiconducting polymers. “Ar” is the aromatic building block. b UV–vis–NIR absorption spectra of the polymers in ODCB solution (1 × 10−5 M). c Calculated potential energy scans (PES) of the dihedral angles φ between the TDPP and three BT derivatives.

PMC9042904

41467_2022_29918_Fig3_HTML.jpg

0.483591

bf2da00425454aeb80c6ee802adbae6b

Magnetic property characterization and DFT calculation.a Room temperature EPR signals of the polymers in the solid state; b variable temperature EPR of p(TDPP-BBT) in the solid state; c the half field line of p(TDPP-BBT) in the solid state: |Δms| = 2 signal (g factor = 3.9981, the theoretical value: g = 4.0046); d temperature-dependent EPR of p(TDPP-BBT) in 1 × 10−3 M o-xylene and e the corresponding Bleaney-Bowers equation fitting result; f temperature-dependent magnetic susceptibility from 2 K to 300 K. Solid squares are data, solid lines are linear fitting lines. g spin density distribution of the triplet states of the oligomers (n = 6) of p(TDPP-BT) (top), p(TDPP-TQ) (middle), p(TDPP-BBT) (bottom). DFT calculations were performed at the UB3LYP/6-31 G** level. Atoms’ colors: gray for C, red for O, blue for N, yellow for S, and white for H.

PMC9042904

41467_2022_29918_Fig4_HTML.jpg

0.453569

a6e31e82923f4345887e2892acf532db

Magnetic characterization and the mechanism explanation of the different spin ground states of high-spin polymers.Field dependent magnetization measurement of a p(TDPP-TQ) and b p(TDPP-BBT) from 0 Oe to 50,000 Oe. The solid squares are the experimental data, the solid lines stand for the simulated curve by Brillouin equation. The simulation results exhibit the S = 1 and S = 1/2 ground states of p(TDPP-TQ) and p(TDPP-BBT). c Schematic illustration of the mechanism of the different ground states of p(TDPP-TQ) and p(TDPP-BBT). Left image shows the microstructure of a typical polymer film, which contains ordered crystalline regions (highlighted in darker yellow) and amorphous regions. Right image illustrates the spin-spin interactions in solid state. The orange shadings on the polymers indicate where the spins mostly distribute. In p(TDPP-TQ), the low spin density makes the spins mostly interact within a chain. While in p(TDPP-BBT), we observed interchain spin-spin interactions because of its high spin density.

PMC9042904

41467_2022_29918_Fig5_HTML.jpg

0.433199

6de8febc622a43ecbf54722826006d37

Thin film morphology and device characterization.2D-grazing incidence wide-angle X-ray scattering (GIWAXS) pattern of a p(TDPP-BT), b p(TDPP-TQ), c p(TDPP-BBT). d Typical transfer characteristics of a p(TDPP-TQ) FET device. e N-type electrical conductivities of p(TDPP-TQ) doped by N-DMBI with different ratios; f P-type electrical conductivities of p(TDPP-TQ) doped by immersing in 10 mM FeCl3 solution. Error bars indicate the standard deviation of ten experimental replicates.

PMC9042904

41467_2022_29918_Fig6_HTML.jpg

0.434024

0e69865823dc46f794ec23e449ee2f52

BMTS survivors’ participation flow diagram.

PMC9043940

advancesADV2021006300f1.jpg

0.473567

f8a0de33c384405497fb736e76a3feda

BMTS sibling and survivor participation flow diagram.

PMC9043940

advancesADV2021006300f2.jpg

0.343973

b656de31091c41a584fc6a7136b7bb29

Odds ratio of no live birth after BMT.

PMC9043940

advancesADV2021006300f3.jpg

0.437836

f0f5d522ca614e008fd6d9ddf54a4295

Familiarity with artificial intelligence in medicine (AIM)—comparison between medical doctor (MD) and medical student (MS; y-axis: means and SDs). ML: machine learning.

PMC9044144

mededu_v8i2e34973_fig1.jpg

0.368889

490c98d8f58744eb93ea8fabb17d5d5a

Last time that medical doctor (MD) and medical student (MS) attended a course on artificial intelligence in medicine (AIM; y-axis: percentages).

PMC9044144

mededu_v8i2e34973_fig2.jpg

0.432108

3feadfd2c6a64dd29614cf5281a15b5b

Reasons to attend a course on artificial intelligence in medicine (AIM)—comparison between medical doctor (MD) and medical student (MS; y-axis: means and SDs).

PMC9044144

mededu_v8i2e34973_fig3.jpg

0.421336

fcaf8238046e443cb6a9d69bc6eddaa7

Challenges to artificial intelligence in medicine’s (AIM) implementation—comparison between medical doctor (MD) and medical student (MS; y-axis: means and SDs).

PMC9044144

mededu_v8i2e34973_fig4.jpg

0.435868

788b4d05499a4532880fcef4403a595e

Barriers to artificial intelligence in medicine’s (AIM) implementation—comparison between medical doctor (MD) and medical student (MS; y-axis: means and SDs).

PMC9044144

mededu_v8i2e34973_fig5.jpg

0.509065

2ec734087690454a978a3e4fe30db810

Risks linked to artificial intelligence in medicine’s (AIM) implementation—comparison between medical doctor (MD) and medical student (MS; y-axis: means and SDs).

PMC9044144

mededu_v8i2e34973_fig6.jpg

0.44108

865f724514b842cfa2155472e4c49445

Working with an artificial intelligence (AI) algorithm—results (y-axis: percentages).

PMC9044144

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0.422037

7693cd42f57847ac8ee8e3fffe152fb0

Energy profile of the interconversion of 6c.

PMC9044195

d1ra08635a-f1.jpg

0.481846

c555e77cd5394daf8efb03b2dd8e0510

XRD patterns of xLiI·(1 − x)Li4SnS4 (x = 0, 0.40–0.50). The left part is the enlarged XRD pattern between 22–32°.

PMC9044197

d1ra06466e-f1.jpg

0.492475

2ac1acc2330c42ddbc28e05f4fbf9460

(a) The ionic conductivities of x = 0.40–0.50 in xLiI·(1 − x)Li4SnS4 at 25 °C and 60 °C. (b) G(r) and (c) Raman spectra of x = 0 and 0.43 in xLiI·(1 − x)Li4SnS4. The Sn–S correlation in the SnS4 tetrahedra corresponds to r = 2.4 Å. (d) DSC curves of x = 0 and 0.43. The heating rate was 10 °C min−1. The arrows indicate heat treatment (HT) temperatures for heat-treated samples.

PMC9044197

d1ra06466e-f2.jpg

0.46486

069af2149fee454e8e9e9d82656f95c2

(a) XRD patterns of z = 0, 0.37, 0.40, 0.43, 0.45 and 0.50 in as-milled zLiI·(1 − z)(0.4Li3PS4·0.6Li4SnS4). (b) DSC curves of z = 0.37 and 0.43. The heating rate was 10 °C min−1. The arrows indicated heat treatment (HT) temperatures for heat-treated samples. (c) XRD patterns of z = 0.37 and 0.43 heated at 200/240 °C and 230 °C, respectively and Li4SnS4.

PMC9044197

d1ra06466e-f3.jpg

0.433717

55960d3d2c1b4342b835206f13677eb6

(a) Temperature dependence of ionic conductivities of x = 0 and x = 0.43 samples in xLiI·(1 − x)Li4SnS4 and z = 0.37 (before and after the heat treatment at 200 °C) and z = 0.43 in zLiI·(1 − z)(0.4Li3PS4·0.6Li4SnS4). (b) Discharge capacities of the all-solid-state cells where x = 0, x = 0.43 and z = 0.37 (heating at 200 °C) at rates of 0.1, 0.2, 0.5, and 1C.

PMC9044197

d1ra06466e-f4.jpg

0.409757

29e7e6284c584ce5986bd26eda12ebd3

(a) H2S generation when the solid electrolyte powder was sealed in a desiccator filled with air (50% RH) at 25 °C for 210 s. The following samples were examined: Li5.5PS4.5Cl1.5, Li3PS4 glass, x = 0 and x = 0.43 in xLiI·(1 − x)Li4SnS4 and z = 0.37 (heating at 200 °C) and z = 0.43 in zLiI·(1 − z)(0.4Li3PS4·0.6Li4SnS4). The amount of solid electrolyte employed was 2 mg for Li5.5PS4.5Cl1.5 and 50 mg for all others. (b) H2S generation from the various solid electrolytes with the exception of Li5.5PS4.5Cl1.5. The measurement time was 60 min.

PMC9044197

d1ra06466e-f5.jpg

0.446074

4af0fe936b274533bc5a8eb51d25da7c

Architecture of proposed work.

PMC9044351

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0.469294

6e59fee4d7fc4154bbe96095e5239b24

Pre-processing.

PMC9044351

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0.452623

a3dc20ca33fd4028a7669d28e5d6e907

DBN with RBM.

PMC9044351

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0.405573

5436306576e84461bf747a975738f6ac

Error rate in accuracy.

PMC9044351

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0.440817

13707f3b022b43519005a5f32dc36a86

Computation time.

PMC9044351

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0.372667

8690ac04e1894c08afe4d58f3704b703

Training & validation accuracy and loss in proposed work.

PMC9044351

peerj-cs-08-881-g006.jpg

0.451577

f7373be9ce4f47a1bf7d882c4aec482c

The prognostic value of PMEPA1 expression in CC. (a) K-M curves of OS in CC sufferers. (b) K-M curves of progress-free survival in CC sufferers. (c) Time-dependent ROC curves based on PMEPA1 expression. (d) The expression of PMEPA1 in 306 CC specimens and 3 normal cervical specimens from TCGA datasets. (e, f) The univariable and multivariable Cox regressive analysis of PMEPA1 expression and clinic characteristics regarding prognostic value.

PMC9045981

JIR2022-4510462.001.jpg

0.411306

873d20da610349b09772306baf850d3c

The distribution of 23 PMEPA1 DNA promoter CpG sites.

PMC9045981

JIR2022-4510462.002.jpg

0.429965

031bf9b795ae40679c62e6419a796bc4

Correlation analysis of PMEPA1 mRNA expression with DNA methylation. (a) The expression of PMEPA1 was negatively regulated by PMEPA1 DNA methylation. (b)–(i) Correlation analysis of PMEPA1 mRNA with the methylation of (b) cg26912636, (c) cg20208990, (d) cg19777900, (e) cg08567517, (f) cg12502441, (g) cg07143805, (h) cg12514933, and (i) cg00138126.

PMC9045981

JIR2022-4510462.003.jpg

0.440854

8aea510a9be344ce92c71f11641b18d8

Survival analysis of PMEPA1 CpG site methylation in CC. (a, b) High levels ofcg17482197 and cg08583507 showed a poor prognosis. (c) Low levels of cg12502441 showed a poor prognosis in CC patients.

PMC9045981

JIR2022-4510462.004.jpg

0.476293

052b3ce95e22412ea18052a9714305c6

The association between PMEPA1 expression/methylation and clinicopathologic characteristics in CC, patients. (a)–(c) The association between PMEPA1 expressing and (a) age, (b) stage, and (c) grade in CC patients. (d)–(F) The association between PMEPA1 methylation and (d) age, (e) stage, and (f) grade in CC patients.

PMC9045981

JIR2022-4510462.005.jpg