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

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0.419077	bae422556be0465d84ab494b842ebe43	The influence of IOT grinding time on the (a) cumulative intrusion volume, and (b) pore volume distributions of the 28-d concrete.	PMC9181601	materials-15-03866-g009.jpg
0.418699	d27f6b39c2ed4c249bca005580aabe9d	The influence of SCMs content on the (a) cumulative intrusion volume, and (b) pore volume distributions of the 28-d concrete.	PMC9181601	materials-15-03866-g010.jpg
0.395195	4a2d389bb65e45ef8430299f3c83943b	Identified BSE images of samples at 28-d of (a) G0, (b) G1.5, (c) G2, (d) C0, (e) C20, and (f) C30.	PMC9181601	materials-15-03866-g011.jpg
0.509965	07ebf277cce24c5a855722399d604152	Effect of IOT grinding time on (a) Porosity, and (b) Anhydrous profiles of 28-d concrete.	PMC9181601	materials-15-03866-g012.jpg
0.41962	050c2c366c8747769acb9d10f693d2f8	Effect of SCMs content on (a) Porosity, and (b) Anhydrous profiles of 28-d concrete.	PMC9181601	materials-15-03866-g013.jpg
0.413329	5d9acda06441498782ce87926f536b1f	Several triazole drugs for IFIs in clinic and the structures of our lead compounds.	PMC9182106	molecules-27-03370-g001.jpg
0.424235	ab681cafd71143c1b598eba1ef734a55	Design strategy of target compounds.	PMC9182106	molecules-27-03370-g002.jpg
0.488303	e4adce84ec044febb27f7eee6ff5f892	The evaluation chart of Alog P and PSA of target compounds. The 95% and 99% confidence limit ellipses of blood–brain barrier (BBB) and human intestinal absorption (Absorption) models.	PMC9182106	molecules-27-03370-g003.jpg
0.378758	4bd75514131c4009b38ceb7ca6f1e465	Anti-hyphal effects of different concentrations of compounds 5k and 6c with FCZ (fluconazole) as a positive agent. Exponentially growing C. albicans SC5314 cells were transferred to hypha-inducing Spider liquid medium. The cellular morphology was photographed after incubation at 37 °C for 3 h. Scale bar = 20 μm.	PMC9182106	molecules-27-03370-g004.jpg
0.502806	1aabd9763b6643dfb11faa5f8a65b7bd	Effects of the antifungal treatments on the tissue burden. Each mouse was intravenously infected with C. albicans SC5314 5 × 106. Saline, FCZ (fluconazole, 0.3 mg/kg), compound 6c (0.3 mg/kg and 1.0 mg/kg) were administered orally once daily for 3 days after infection. Kidneys of mice were harvested on day 4 and colony-forming units were measured. * p < 0.05, p < 0.01, * p < 0.001, determined by ANOVA.	PMC9182106	molecules-27-03370-g005.jpg
0.459056	b339f72fced14a8d8fae5e1992231360	In vivo efficacy of compound 6c (0.5, 1.0 and 2.0 mg/kg) and FCZ (fluconazole, 0.5 mg/kg) in a systemic infection of an ICR mouse model (n = 10) with C. albicans SC5314. p < 0.01, * p < 0.001, determined by ANOVA.	PMC9182106	molecules-27-03370-g006.jpg
0.422658	4a52883878cc4793bd7ce72ae9c2a059	The binding mode of compound 6c in the active site of CYP51. Compound 6c, heme group, residues are shown in brown, yellow or green sticks, respectively. Hydrogen-bonding interaction was shown in red and π–π stacking interaction was shown in forest green. Image depicting the proposed binding mode was generated using PyMOL.	PMC9182106	molecules-27-03370-g007.jpg
0.457234	a185e87fe7164ebd9e37d007c89be901	Synthesis of the target compounds. (i) 4-Iodo-1H-pyrazole, K2CO3, DMF, 80 °C, 4 h; (ii) Methyl 4-ethynylbenzoate, PdCl2(PPh3)2, CuI, DIEA, NMP, 60 °C, 6 h; (iii) LiOH, THF/H2O (V/V= 1:1), 50 °C, 6 h; (iv) Alkyl amines or aromatic amines, DIEA, PyBOP, 50 °C, 4~8 h; (v) substituted (4-ethynylphenoxy)methyls, PdCl2(PPh3)2, CuI, DIEA, NMP, 60 °C, 6 h.	PMC9182106	molecules-27-03370-sch001.jpg
0.409737	903907db9fc04fe7ac72da17194f781a	Possible applications of ceramic nanofibers.	PMC9182284	materials-15-03909-g001.jpg
0.509011	90729976e44b4d308e62fb0c5619bd66	Main studies addressing ceramic nanofibers applied in wound-healing applications over the last six years [20,66,67,68,69,70,71].	PMC9182284	materials-15-03909-g002.jpg
0.473939	b4bfe8fb08d5432286c988b1358b6bb2	Evolution of the implant area in Wistar rats: (A) control rat prior to surgical intervention; (B) two weeks after material implantation, being observed inflammation in the incisions on the subcutaneous tissue; (C) four weeks of the surgical intervention, with a significant decrease in inflammation; and (D) six weeks after the intervention, the rat showed a very noticeable surgical decrease in the incisions’ inflammation, with a considerable growth in the rat’s hair and its scars (reprinted from Garibay-Alvarado et al. [74], copyright (2021), with permission from PloS ONE).	PMC9182284	materials-15-03909-g003.jpg
0.434144	d025275842774794a5ea9eaf15316745	Schematic representation of the influence of ceramic nanofibers on the wound healing process.	PMC9182284	materials-15-03909-g004.jpg
0.403193	b27c9265192440eb8ca4c5dd44a405b8	Optical images of an in vitro wound-healing assay undertaken on a human skin fibroblast cell line: (A) SV 40-transformed GM 00637; (B) scratch created by micropipette on the confluent cell culture plate; (C–E) control sample at 4, 6, and 24 h, respectively; (F–H) ABGnf (without boron) at 4, 6, and 24 h; and (I–K) ABGnf (with boron) at 4, 6, and 24 h, respectively. Reprinted from [88], copyright (2020), with permission from the International Journal of Applied Glass Science.	PMC9182284	materials-15-03909-g005.jpg
0.484221	06009b2ab7ac4b82908b0f6367aa4ecf	Main studies addressing ceramic nanofibers applied in bone regeneration applications over the last six years [23,55,56,74,114,115,116,117,118,119,120,121].	PMC9182284	materials-15-03909-g006.jpg
0.374951	96a088b90db949e1a0b5034b0c6f87ef	Live/dead immunofluorescence staining results of osteoblast cells cultured for one (A,D), three (B,E), and five (C,F) days on binary glass nanofibrous scaffold (A–C), as well as a blank control (D–F). Reprinted from Luo et al. [55], copyright (2017), with permission from Materials Science and Engineering: C.	PMC9182284	materials-15-03909-g007.jpg
0.477956	29c00a4ad7de412396fc7bfd356f8823	SEM images and the corresponding high magnification images of NBG scaffolds (A), after immersion in SBF for (B,C) one, (D,E) three, and (F,G) seven days (insets show local enlarged areas). Reprinted from [156], copyright (2018), with permission from RSC Advances.	PMC9182284	materials-15-03909-g008.jpg
0.443594	3eaf2a907c3b4c5ca5d195b186835c56	(A) MTT activity of MC3T3-E1 cells cultured on studied scaffolds for 7, 14, and 21 days. (B) Total protein content (μg/mL), up to 7, 14, and 21 days of cell culture of the osteoblastic lineage MC3T3 cultured on the studied scaffolds. (C) Alkaline phosphatase activity (U/L) of MC3T3-E1 cells on the studied scaffolds. (* statistical significant differences with p-value < 0.05; statistical significant differences with p-value < 0.01; * statistical significant differences with p-value < 0.001). Reprinted from [23], copyright (2021), with permission from Ceramics International.	PMC9182284	materials-15-03909-g009.jpg
0.419088	2f0b5aaedce647c281e9aa3d32456652	(A) Weight loss, cumulative release of (B) calcium ions and (C) silicate ions from sintered nanofibers of CS-800, CS-1000, and CS-1200; (D1–D3) shows SEM images and (E1,E3) TEM images of the corresponding calcium silicate nanofibers, after degradation in deionized water at 37 °C for 21 days; (D1,E1) corresponding to CS-800 composition; (D2,E2) corresponding to CS-1000 and (D3,E3) to CS-1200. Reprinted from [170], copyright (2019), with permission from Ceramics International.	PMC9182284	materials-15-03909-g010.jpg
0.442086	58319f12fbee43aab16cb36d6f7f281c	Schematic representation of the influence of ceramic nanofibers on the wound-healing process.	PMC9182284	materials-15-03909-g011.jpg
0.455453	af04f6f5e6ce4bdea4bf3e70e26f941f	Evaluation of osteogenic differentiation of BMSCs cultured on doped and non-ion doped nanofibers compositions by an analysis of osteogenesis-related markers including: (A) quantitative analysis on ALP activity; (B) quantitative analysis on COL-I synthesis; (C) ALP staining and Alizarin red staining for calcium modules. * p < 0.05, significant; p < 0.01 and * p < 0.001, highly significant (n = 4). Reprinted from [197], copyright (2021), with permission from Ceramics International.	PMC9182284	materials-15-03909-g012.jpg
0.453541	eb46188538b1451e962202028a0d9a02	The effect of CPF intervention on intestinal microbiota in mice with circadian rhythm disturbance: (A) Venn diagrams of the operational taxonomic unit (OTU) in the three groups. (B) Circos plot of the top5 microbial taxa at the phylum level. Microbial distributions of different groups at the phylum (C) and genus levels (D). Difference analysis of gut microbiota composition at the genus level between the CD and CT groups (E) and between the CD and CPF groups (F). (G) Dominant microbial taxa of the CPF group. (H) The alternation of the microbial taxa in the CD group. (I) The alternation of the microbial taxa in the CPF group.	PMC9182649	nutrients-14-02308-g001.jpg
0.453025	5e780a54c4e54f618542131f87050e79	The effect of CPFs on gut metabolites in mice with circadian rhythm disturbance. (A) The classification of differential metabolites in the CD group. (B) Differential metabolites between the CT and CD groups. (C) Differential metabolites between the CPF and CD groups. (D) KEGG enrichment pathways of significantly regulated differential metabolites between the CD and CT groups. (E) KEGG enrichment pathways of significantly regulated differential metabolites under CPF supplementation.	PMC9182649	nutrients-14-02308-g002.jpg
0.406579	f72eea4e41514fdc85bb4e695e40a8cf	Spearman analysis of the correlation between intestinal microbial composition and intestinal differential metabolites: (A) Spearman correlation analysis between genus and metabolite concentrations affected by CPF supplementation. (B) Network diagram of intestinal differential metabolites and microbial taxa. * p < 0.05.	PMC9182649	nutrients-14-02308-g003.jpg
0.448956	19bc1439794b46078ba801edc565cdcf	Single-cell RNA-seq identified circadian-rhythm-associated brain cell populations in the hypothalamus of mice: (A) t-SNE map of single cells of the hypothalamus in the CD, CT, and CPF groups. (B) t-SNE images of total hypothalamic cells in different clusters. (C) t-SNE identification map of hypothalamic single cells in the CT, CD, and CPF groups of samples. (D) t-SNE identification map of hypothalamic single cells in the CD group. (E) t-SNE identification map of hypothalamic single cells in the CPF group. (F) The percentage of cell types identified per cell cluster.	PMC9182649	nutrients-14-02308-g004.jpg
0.391722	7e5c531f5b444feea9f5526e6287550a	Effect of CPFs on the expression of circadian clock genes in the hypothalamus: t-SNE map of the expression of rhythm genes in the hypothalamus in the CPF group (A) and CD group (B). (C) Dot plots of circadian rhythm gene expression levels in different clusters of the CPF group. (D) Violin plot of the expression of circadian rhythm genes in the main cell types of the CPF group.	PMC9182649	nutrients-14-02308-g005.jpg
0.420232	5177376af3b0474ea0441078139120ac	Effects of CPF intervention on gene enrichment pathways in the hypothalamus: (A) GO classification analysis of DEGs in the hypothalamus between the CD and CPF groups. (B) The regulation of CPF intervention on DEGs involved in myelination of the CNS. (C) KEGG classification analysis of DEGs in the hypothalamus between the CD and CPF groups. (D) The regulation of CPF intervention on DEGs involved in insulin secretion. (E) The regulation of CPF intervention on DEGs involved in Parkinson disease. (F) The regulation of CPF intervention on DEGs involved in Alzheimer disease.	PMC9182649	nutrients-14-02308-g006.jpg
0.441542	b46e21492ee64382a457b8404e2729c1	Combined effect of field and year (F x Y) on bunch weight (a) and bunch number (b) of V. vinifera subsp. vinifera ‘Falanghina’ vines at the four study sites: SL-Santa Lucia, CA-Calvese, GR-Grottole, AC-Acquafredde. Mean values and standard errors are shown. Different letters indicate significant differences according to Duncan’s multiple range test (p ≤ 0.05).	PMC9182941	plants-11-01507-g001.jpg
0.362865	c2c5c9d4ecbd450e96a8ef4a1d68329d	Combined effect of field and year (F x Y) on net photosynthetic rate (Pn) of V. vinifera subsp. vinifera ‘Falanghina’ vines at the four study sites: SL-Santa Lucia, CA-Calvese, GR-Grottole, AC-Acquafredde. Mean values and standard errors are shown. Different letters indicate significant differences according to Duncan’s multiple range test (p ≤ 0.05).	PMC9182941	plants-11-01507-g002.jpg
0.471389	598bf982b059487e8ff262cd58644552	Epi-fluorescence microscopy views of abaxial leaf epidermis of V. vinifera ‘Falanghina’ vines at the four study sites: SL-Santa Lucia (a), CA-Calvese (b), GR-Grottole (c), AC-Acquafredde (d). Images are all at the same magnification. Bar = 50 µm.	PMC9182941	plants-11-01507-g003.jpg
0.430778	39d7789843864b6f88ba30dad2d66ea9	Combined effect of field and year (F x Y) on stomatal frequency of V. vinifera subsp. vinifera ‘Falanghina’ vines at the four study sites: SL-Santa Lucia, CA-Calvese, GR-Grottole, AC-Acquafredde. Mean values and standard errors are shown. Different letters indicate significant differences according to Duncan’s multiple range test (p ≤ 0.05).	PMC9182941	plants-11-01507-g004.jpg
0.442126	5a81056833f143fc9b2c80e4b02cad92	Combined effect of field and year (F x Y) on Total VAA (a) and FVEA (b) of V. vinifera subsp. vinifera ‘Falanghina’ vines at the four study sites: SL-Santa Lucia, CA-Calvese, GR-Grottole, AC-Acquafredde. Mean values and standard errors are shown. Different letters indicate significant differences according to Duncan’s multiple range test (p ≤ 0.05).	PMC9182941	plants-11-01507-g005.jpg
0.570067	caa199102c5048f9acfb320ea2e19745	The four experimental sites Santa Lucia (a), Calvese (b), Grottole (c), Acquefredde (d) vineyards.	PMC9182941	plants-11-01507-g006.jpg
0.522643	e9bef397fc7d41b6b50a87fa98786e13	Light microscopy views of V. vinifera ‘Falanghina’ leaf lamina sample with arrows pointing to the FVEA (2, second-order vein). Bar = 300 µm.	PMC9182941	plants-11-01507-g007.jpg
0.45277	4d1aad737b4d476480f96f491b8fff18	Circular symbiosis system in ecological production park.	PMC9184201	CIN2022-8410996.001.jpg
0.53863	94d628e048764ffaad2263aaa671ba7b	Ensemble learning optimization model based on parallel evolution method.	PMC9184201	CIN2022-8410996.002.jpg
0.443531	8fd99c2d2e1e4096837d0bbb555d8286	Structure of AG and AH production park.	PMC9184201	CIN2022-8410996.003.jpg
0.42711	a9e65fcbc002472d946f4da90f08265d	Experimental design and verification environment.	PMC9184201	CIN2022-8410996.004.jpg
0.434582	55dbabfe7d32481395a01bb76777e8e1	Water storage of different crop species in AG and AH production park before and after model optimization (1, rice; 2, wheat; 3, corn; 4, potato; 5, tomato; 6, cucumber).	PMC9184201	CIN2022-8410996.005.jpg
0.516385	2a86a9c36a8e4c5d839618be0041d79a	Water storage of different crop species in the experimental field before and after model optimization (1, rice; 2, wheat; 3, corn; 4, potato; 5, tomato; 6, cucumber).	PMC9184201	CIN2022-8410996.006.jpg
0.392204	23be231e4ede4abcb4a4821ed15ae7f5	Crop yield of different crop species before and after model optimization in the AG and AH production park (1, rice; 2, wheat; 3, corn; 4, potato; 5, tomato; 6, cucumber).	PMC9184201	CIN2022-8410996.007.jpg
0.393478	e5fb2277a194437c8847852a27dc9dd5	Crop yield of different crop species in the experimental field before and after model optimization (1, rice; 2, wheat; 3, corn; 4, potato; 5, tomato; 6, cucumber).	PMC9184201	CIN2022-8410996.008.jpg
0.451387	6bbf91bd2f614bc596732e6fcf2215fa	Crop survival rate of different crop species before and after optimization in the AG and AH park (1, rice; 2, wheat; 3, corn; 4, potato; 5, tomato; 6, cucumber).	PMC9184201	CIN2022-8410996.009.jpg
0.410761	011cf648042e4e61af00f0bc7dfdc22f	Crop survival rate of different crop species in the experimental field before and after optimization (1, rice; 2, wheat; 3, corn; 4, potato; 5, tomato; 6, cucumber).	PMC9184201	CIN2022-8410996.010.jpg
0.413224	4d83082fde2e406293561cdaca4bbd8d	Principle of compact light field photography.a A conventional light field camera captures the scene from different views with a lens array and records all sub-aperture images. In contrast, CLIP records (operator \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{{{{{\bf{A}}}}}}}_{{k}}$$\end{document}Ak) only a few nonlocal measurements (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{{{{{\bf{f}}}}}}}_{{k}}$$\end{document}fk to fn) from each sub-aperture image and exploits the depth-dependent disparity (modeled by Bk) to relate the sub-aperture images for gathering enough information to reconstruct the scene computationally. Refocusing is achieved by varying the depth-dependent disparity model Bk. b Seeing through severe occlusions by CLIP as a camera array, with each camera only recording partial nonlocal information of the scene. A obscured object (from the camera with black rays) remains partially visible to some other views (with green rays), whose nonlocal and complementary information enables compressive retrieval of the object. c Illustration of instantaneous compressibility of the time-of-flight measurements for a 3D scene in a flash LiDAR setup, where a transient illumination and measurement slice the crowded 3D scene along the depth (time) direction into a sequence of simpler instantaneous 2D images. d–f CLIP embodiments that directly perform nonlocal image acquisitions with a single-pixel, a linear array, and 2D area detectors, respectively. A single pixel utilizes a defocused spherical lens to integrate a coded image, with u and v behind the lnes being the angular dimension. A cylindrical lens yields along its invariant axis a radon transformation of the en-face image onto a 1D sensor. The complex-valued mask such as a random lens produces a random, wide-field PSF that varies with object depth to allow light field imaging. PSF point spread function, CLIP compact light field photography, LiDAR light detection and ranging, 1D, 2D, 3D one, two, and three-dimensional.	PMC9184585	41467_2022_31087_Fig1_HTML.jpg
0.423435	b738b815c1ee44c78f1fd05701c604e5	Three-dimensional imaging (3D) through occlusions.a–c Reconstructed 3D images rendered in different perspective for three scenes: circular plate (a) and letter V (b) behind the letter N, and letter X (c) blocked by a rectangular plate. The severe occlusions are evident from the front view images, with the larger objects in the front completely blocked the object right behind them. In contrast, CLIP is able to unambiguously reconstruct the obstructed objects in 3D without any defocusing signals from the preceding occluder. d Three representative frames of imaging a 2 × 2 grid pattern moving across the CLIP camera FOV behind a rectangular occluder. Note that signals from the black occluders are enhanced relative to the objects for better visualization.	PMC9184585	41467_2022_31087_Fig2_HTML.jpg
0.426643	ea405944f2384409bde86df35da01331	Snapshot flash LiDAR imaging over an extended depth range.a Flash LiDAR imaging of a letter scene. From left to right are the reference photographs, a projected two-dimensional LiDAR images along the depth direction, and the 3D (three-dimensional) point-cloud representation of the scene. b flash LiDAR of the same 3D scene without extending the imaging depth of field, obtained by refocusing the camera onto a single focal plane. Note the defocus blur in the near and far objects. c Computational all-in-focus image. d and e Two representative frames for the dynamic imaging of a manually rotated letter V in a simple and cluttered scene, respectively.	PMC9184585	41467_2022_31087_Fig3_HTML.jpg
0.407349	2cd6417124d241cea6603f9889a38213	NLOS imaging by CLIP-ToF.a–c Imaging with planar, disconnected, and curved surfaces, respectively. From left to right are the flash LiDAR imaging of the relay surfaces, and two example hidden objects rendered as a projection image in the front view, and a 3D (three-dimensional) point cloud. Ground truth photographs of the object are shown in the inset of the front view image. d, e Reconstructed NLOS images for the disconnected and curved surfaces, respectively, with defocus errors on the relay wall, and those recovered with extended depth of field (highlighted by the green box). The quality of reconstruction degrades when the camera’s extended depth of field is disabled.	PMC9184585	41467_2022_31087_Fig4_HTML.jpg
0.41548	97f95e13afef41b584887b4c1308d6ec	Basic information of 3 groups of sensors: (a) Latitude and longitude range of each group of sensors; (b) Specific position of each group of sensors.	PMC9185465	sensors-22-04304-g001.jpg
0.453224	07ff568d66604b1ba3b6165fa1c857f4	Input data for three modes. (a) Input data of TR mode; (b) Input data of SR mode; (c) Input data of AR mode.	PMC9185465	sensors-22-04304-g002.jpg
0.367304	6878c63638fc49829028f0081f7960ca	Pearson correlation coefficient of input Matrix. (a) Correlation matrix of TR mode; (b) Correlation matrix of SR mode.	PMC9185465	sensors-22-04304-g003.jpg
0.428695	cd327ea789d54e5e9ec11ed78ccce8a9	Visualization results of AR data with t-SNE.	PMC9185465	sensors-22-04304-g004.jpg
0.498034	d6267441bac34ce6ab3448460e0fe039	Traditional FCM parameter selection result.	PMC9185465	sensors-22-04304-g005.jpg
0.406815	683c9f104c3844cba1388d39a1427d91	Example of TGO algorithm. (a) Data gridding; (b) Grid frequency distribution; (c) Cumulative contribution rate of each grid density; (d) Results of the first grid optimization; (e) Results of the second grid optimization.	PMC9185465	sensors-22-04304-g006.jpg
0.40949	805f37a2e8e548889688752d4c41feef	The selection result of thresholds.	PMC9185465	sensors-22-04304-g007.jpg
0.464969	4f5dcde0d7d44225af43f32487a17755	The XB index of each cluster center.	PMC9185465	sensors-22-04304-g008.jpg
0.41413	a411ba3fa3df4b33ad1e2143c0a43e62	Absolute error of different schemes at different loss ratios.	PMC9185465	sensors-22-04304-g009.jpg
0.399649	b4c2eeb6d7cf4314bdb668b80d5fa97c	The RMSE of different schemes on different groups of sensor data. (a) RMSE of the first group of sensors; (b) RMSE of the second group of sensors; (c) RMSE of the third group of sensors.	PMC9185465	sensors-22-04304-g010.jpg
0.421494	b71637442cc5473da1eaa55846ce0ae9	The RA of different schemes on different groups of sensor data. (a) RA of the No.1 sensors; (b) RA of the No.2 sensors; (c) RA of the No.3 sensors.	PMC9185465	sensors-22-04304-g011.jpg
0.471889	d05a628b885b4194a64cb69b6538da05	Comparison results of RMSE and RA.	PMC9185465	sensors-22-04304-g012.jpg
0.455241	43246553a4ba4e1e885b40ce6b5632a3	Effect of Assessment of Identity Development in Adolescence (AIDA) on BMI Increase over Time. Black lines indicate conditional regression lines for very low (M−2 SD), low (M−1 SD), medium (M), high (M +1 SD), and very high (M +2 SD) AIDA scores. BMI, Body mass index.	PMC9186337	fpsyt-13-887588-g0001.jpg
0.405436	254862362433483d99fd80855047f7a5	Effect of Assessment of Identity Development in Adolescence (AIDA) on BMI-SDS Increase over Time. Black lines indicate conditional regression lines for very low (M−2 SD), low (M−1 SD), medium (M), high (M +1 SD), and very high (M +2 SD) AIDA scores. BMI-SDS, Body mass index standard deviation score.	PMC9186337	fpsyt-13-887588-g0002.jpg
0.50654	1e8da102115c4fa6b6c941ba0acf6376	Flowchart of psychometric data analysis. ASQ:SE, Ages & Stages Questionnaires: Social-Emotional; KMO, Kaiser–Meyer–Olkin; NEST, Next Eigenvalue Sufficiency Test; PCA, principal component analysis.	PMC9187369	10-1055-s-0041-1741503-i2131588-1.jpg
0.442205	0508feb060da4a7295ec82ada07f5432	Screen plot with the exploratory factor analysis (EFA) and principal component analysis (PCA) results that were obtained with polychoric and Pearson correlations.	PMC9187369	10-1055-s-0041-1741503-i2131588-2.jpg
0.441568	000aec4169044a539e004286ba2d47a0	Graphical representation of exploratory factor analysis (EFA) and principal component analysis (PCA) models and network analysis results.	PMC9187369	10-1055-s-0041-1741503-i2131588-3.jpg
0.408445	342547f081184126b972271aaff02038	Nickel-catalyzed arylalkylation of alkynes.a The advantages of photocatalysis and electrochemistry. b Limitation of the electrochemical oxidation pathway and potential of the electrochemical reduction pathway in the cross-coupling field. c Initial results of nickel-catalyzed reductive cascade cross-couplings via the traditional reductant, electrochemical, and photocatalyzed pathways. d Stereocontrol of alkenes by switching between electrochemistry and photocatalysis. TDAE, tetrakis(dimethylamino)-ethylene; DMA, dimethylacetamide; PMDTA, N,N,N′,N′′,N′′-pentamethyldiethylentriamin; TMEDA, tetramethylethylenediamine; bpy, 2,2′-bipyridine.	PMC9187637	41467_2022_30985_Fig1_HTML.jpg
0.494542	b02b61ae55fe43a9b779e6c219c78212	Scope of the nickel catalyzed electrochemical arylalkylation of alkynes.Reactions were performed with 0.2 mmol of aryl bromides, 0.4 mmol of alkynes, and 0.6 mmol of alkyl bromide. Yields are of the isolated products.	PMC9187637	41467_2022_30985_Fig2_HTML.jpg
0.391662	2015304490b24203b1327f870a6ac00e	Scope of the photoredox/nickel dual catalyzed arylalkylation of alkynes.Reactions were performed with 0.4 mmol of aryl bromides, 0.2 mmol of alkynes, and 0.6 mmol of alkyl bromide. Yields are of isolated products. The values in parentheses represent the ratio of the two isomers (Psyn:Panti), which was determined by 1H NMR analysis.	PMC9187637	41467_2022_30985_Fig3_HTML.jpg
0.451572	f93df2e2395e44f498954490770d2dd9	Mechanistic study and scope of the photo-assisted electrochemically nickel catalyzed arylalkylation of alkynes.a Isomerization control reactions. b UV/Vis absorption spectroscopy and fluorescence emission spectroscopy of E and Z isomers. c Reactions were performed with 0.2 mmol of aryl bromides, 0.4 mmol of alkynes, and 0.6 mmol of alkyl bromide. Yields are of the isolated products. The values in parentheses represent the ratio of the two isomers (Psyn:Panti), which was determined by 1H NMR analysis. Reaction performed in DMSO. #Reaction conditions: aryl bromides (0.2 mmol, 1 equiv.), alkynes (0.4 mmol), alkyl bromides (0.6 mmol), NiBr2·d(4-OMe)-bpy (10 mol%), TMEDA (3 equiv.), nBu4NBr (2 equiv.) in 4 mL DMA and electrolysis for 16 h at 4 mA using a graphite anode and nickel foam cathode. The reaction mixture was then directly irradiated with 2390 nm purple LEDs for 24 h.	PMC9187637	41467_2022_30985_Fig4_HTML.jpg
0.438023	c3d25404f7514248bb55fb7906a99699	Applications.a Scale up reactions for both the E and Z isomers. b Complex molecule synthesis via three different approaches. c Further functionalization of the generated trisubstituted alkene.	PMC9187637	41467_2022_30985_Fig5_HTML.jpg
0.427407	e98d429e008f4142b28e9286506a5d71	Framework: construction of imaginations and the shaping of social practices and sociomaterial structures	PMC9188356	11625_2022_1161_Fig1_HTML.jpg
0.450486	c6d9dfc873d8403fa91745fd547d159f	Proximity of interviewees to trajectories (preservation,modernization, transformation) and scope of change	PMC9188356	11625_2022_1161_Fig2_HTML.jpg
0.430561	fc6432a983304cf0a74a82893c41f2df	Schematic illustration of the preparation of multi-layer mineralized GO-Col-HAp microgels with uniform HAp deposition and their applications in rat cranial defect and mandibular defect repair.	PMC9189211	gr1.jpg
0.477119	e044507b4730473a805c42aa77ad037f	Fabrication of multi-layer mineralized GO-Col-HAp microgels and their schematic illustrations. (A) Experimental steps for the synthesis of multi-layer mineralized GO-Col-HAp microgels using microarray chip and their chemical reaction illustration. (B) Schematic drawing, optical image, and micro ct evaluation of the microgels (Scale bars of low magnification: 500 μm, scale bars of high magnification and micro ct: 200 μm, red arrowheads refer to pore structure). (C) Schematic illustration, optical image, and micro ct analysis of the pearl (Scale bars of low magnification: 5 mm, scale bars of high magnification and micro ct: 1 mm). (D) The porosity of the microgels and peral. (E–F) Quantitative analysis of apatite volume to total volume (AV/TV) and apatite mineral density (AMD) of microgels and pearl (ns: no significance, ∗∗∗p < 0.001).	PMC9189211	gr2.jpg
0.455984	f7b49f0bda29428a9abf5887c74d7529	Morphology and physiochemical evaluation of the microgels. (A) SEM images of the surface, coronal-section, and cross-section morphologies of the microgels (Scale bars in low magnification images were 100 μm, and in high magnification images were 10 μm. The red regions represented for the inner layer, the brown regions represented for the middle layer, the blue regions represented for the outer layer, and the white arrowheads represented for HAp). (B) Schematic illustration and EDS mapping images of Ca and P elements and EDS point images of the MMGCH microgels. (C–E) FTIR spectra, XRD spectra, and TGA analysis of the microgels. (F) Pore size of the microgels. (G) Mass increase of the microgels after biomimetic mineralization in SBF. (H) Calcium quantitative analysis of the microgels. (I) Elastic modulus evaluation of the microgels (ns: no significance, ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001).	PMC9189211	gr3.jpg
0.400092	35e55b5a3632462eb438ae8855ab6f10	In vitro evaluation of migration and proliferation of r-BMSCs on/in the microgels. (A) Schematic illustration of cell migration and proliferation on/in the microgels. (B) Live/dead staining and SEM images of r-BMSCs on/in the microgels (Scale bars in confocal images: 100 μm, and scale bars in SEM images: 10 μm). (C) Quantitative analysis of living cells on/in the microgels at day 1, 4, and 7 post-incubation. (D) Cell viability of r-BMSCs on/in microgels at day 1, 4, and 7 post-incubation. (E) Quantitative analysis of fluorescence intensity in different layers measured at day 7. (∗p < 0.05, ∗∗∗p < 0.001, ns: no significance).	PMC9189211	gr4.jpg
0.442062	34505b9205834c478387df9a88eea70c	In vitro evaluation of r-BMSCs osteogenic differentiation on/in the microgels. (A) Schematic illustration of cell osteogenic differentiation on/in the microgels after 4 and 7 days of osteogenic incubation. (B) The protein expression of osteogenic markers of r-BMSCs. (C) Quantitative analysis of ALP, OCN, and COL-1 protein expression for 4 and 7 days on/in microgels, normalized to GAPDH. (D) qRT-PCR analysis of ALP, OCN, and COL-1 gene expression of r-BMSCs during 4 and 7 days of osteogenic incubation respectively. (E) OCN staining of microgels at day 4, 7 post-osteogenic incubation (red arrowheads: positive brown staining, scale bars: 100 μm, ns: no significance, ∗∗P < 0.01, ∗∗∗P < 0.001).	PMC9189211	gr5.jpg
0.375254	18df3714123343cc8a0998a07f867cae	In vivo evaluation of the microgels for critical-sized cranial and mandibular defect treatment in rat. (A–D) Representative 3D reconstruction and cross-section images of cranial and mandibular bone defects at week 4 and 12 post-implantation. (E, H) Optical images of the microgels in the defect regions during operation. (F–G) Quantitative evaluation of bone volume to tissue volume (BV/TV) and bone mineral density (BMD) in cranial bone defects. (I–J) Quantitative evaluation of BV/TV and BMD in mandibular bone defects. (ns: no significance, ∗P < 0.05, ∗∗∗P < 0.001).	PMC9189211	gr6.jpg
0.41228	f45a6a34769542559b2afa73a3c78ed8	Histological and immunohistochemical analysis of microgels after implantation for 4 and 12 weeks in cranial bone defects. (A) HE staining images of microgels complexes (Scale bars: 500 μm, white rectangle: the lateral margin and the center region of the defects). (B–E) HE staining (B), Masson's trichrome staining (C), OCN staining (D), and COL-1 staining (E) images of the microgels complexes engineered bone constructs (Scale bars: 100 μm, ∗: new bone, &: microgels).	PMC9189211	gr7.jpg
0.476818	4582320612864e8a9370fbc7c01cde77	Histological and immunohistochemical analysis of microgels after 4 and 12 weeks implantation in mandibular bone defects. (A) HE staining images of the defect region at week 4 and 12 pos-timplantation (Scale bars: 500 μm, white rectangle: the lateral margin and the center region of the defects). (B–E) HE staining, Masson's trichrome staining, OCN staining, and COL-1 staining images of lateral margin and center region of the defect region (Scale bars: 100 μm, ∗: new bone, &: microgels).	PMC9189211	gr8.jpg
0.492169	3c2a0a6ecb854a4cac742986e98ce05d	FAMYLY study design. Patients eligible for the study were treated with fish oil emulsion, daunorubicin and cytarabine at the indicated doses. If the baseline white blood count (WBC) was below 30 G/L, patients received 48 of fish oil before the start of chemotherapy. If the WBC was above or equal to 30 G/L, all treatments were started on the same day. An evaluation bone marrow (BM) evaluation was performed on D15. If the BM blasts were higher than 5%, a second induction was provided at the indicated doses.	PMC9192636	41598_2022_13626_Fig1_HTML.jpg
0.402498	7904b7903f924640b10bed285648c67c	PUFA plasma pharmacokinetics. Plasma samples were drawn at baseline (H0), 24 and 48 h after the start of FO infusion, after the end of infusion (D10), and at disease evaluation (D28–D35). The PUFA composition of plasma was evaluated by gas chromatography. The sum of docosahexaenoic acid (DHA) and eicosapentaenoic (EPA) acid concentration is indicated for each individual patient (colored lines and dots). Means are indicated by a dash for each timepoint.	PMC9192636	41598_2022_13626_Fig2_HTML.jpg
0.45016	6928aad02ee348ecb02e8e980f3f4a5f	Historical comparison of survival data from the FAMYLY and LAM2001 trials. Overall survival (OS) was plotted from the inclusion date to the date of death or last follow up. The vertical marks indicate censored observations.	PMC9192636	41598_2022_13626_Fig3_HTML.jpg
0.49276	f1f862ce551648cb842bfd585dcc0832	Effect of well-watered (WW) and terminal drought (TD) treatments on (A) total shoot biomass, (B) net photosynthesis rate, (C) photosynthetic efficiency of PSII and (D) instantaneous water use efficiency (WUEi) of two common bean (PS and BM) and one tepary bean genotypes (“Tep32”). Data are presented as the mean ± standard error of six biological replicates. Asterisks indicate significant differences between genotypes in the same water treatment by t-test. p < 0.05, *p < 0.01, and ns not significant. Letters indicate statistical significance between genotypes determined with Tukey’s test. The statistical analyses between water treatments are not shown.	PMC9194640	fpls-13-894657-g001.jpg
0.455586	4533e4cbd5754b14ad74df69d330b91e	Stomatal density and epidermal cell density of two common bean genotypes (PS and BM) and one tepary bean (“Tep32”) under well-watered (WW) and terminal drought (TD) treatments in three different strata: basal (A), middle (B), and apical (C). Data are presented as the mean ± standard error. Inset: micrographs of representative epidermal impressions with stomata in blue for clarity. Scale bars = 50 μm.	PMC9194640	fpls-13-894657-g002.jpg
0.478648	9198e64a5d784bb9a1f15593fb4634df	Stomatal index (SI) and leaf area (left) and stomata width and stomata length (right) of two common bean genotypes (PS and BM) and one tepary bean (“Tep32”) under well-watered (WW) and terminal drought (TD) conditions in three different strata: basal (A), the middle (B), and apical (C). Data are presented as the mean ± standard error.	PMC9194640	fpls-13-894657-g003.jpg
0.424582	56112710bbb0445a9957f96904f97cb7	Transpiration efficiency of two common bean (PS and BM) and one tepary bean (“Tep32”) genotypes, under well-watered (WW) and terminal drought (TD) treatments. Data are presented as the mean ± standard error of six biological replicates. “ns” corresponds to not significant (p < 0.05).	PMC9194640	fpls-13-894657-g004.jpg
0.404252	50e9b191f3df48eb84368eff6ec6d050	Normalized transpiration rate vs. fraction of transpirable soil water of two common bean genotypes (PS and BM) and one tepary bean (“Tep32”). The solid line in each graph is the regression fit using the inverse exponential model. The dashed lines are the results of the two-segment plateau regression. Letters in the value of FTSW threshold indicate statistical significance between genotypes determined with Tukey’s test.	PMC9194640	fpls-13-894657-g005.jpg
0.401177	d313581bdcb04106ab8644078aa223e9	Effect of uncontrolled autophagy on plasma membrane‐associated proteins A–ESurface views (A–D) and z‐sections (E) of third instar larval epidermis expressing the indicated fluorescent markers and RNAi or overexpression constructs. (A) Bazooka/Par3, normally seen at the apical adherens junction and in a perinuclear position, is lost or reduced in large areas under uncontrolled autophagy as are lateral membrane markers, (B) Fasciclin‐III (FasIII), (C) neuroglian (Nrg) and (D) adherens junctions (DE‐cad), whereas large bundles decorated with MRLC appear. (E) The baso‐lateral transmembrane protein β‐integrin is not lost; in extreme conditions, it is seen in both the apical and basal membranes (overexpression of Atg16B). Arrows in the z‐sections point to high accumulation of integrin along the folded lateral membranes.FElectron micrograph of a section through the larval epidermis to show the highly folded lateral junction between two epidermal cells (magenta and cyan). Left, cartoon; middle, false colouring; right, original image. C: cuticle; M: mitochondrion; BL: basal lamina; AJ: adherens junction; SJ: septate junction; GJ: gap junction, N: nucleus, Mv: apical microvilli connecting the cuticle to the cell. Data information: A–E, n = 15–40 larvae each genotype. Scale bars: A–E, 20 μm and F, 2 μm. Images from Movies EV10 and EV11.	PMC9194749	EMBJ-41-e109992-g001.jpg
0.388512	05de0beec3844536a506b8527a54ba4b	Colocalization of Atg8a and septate junction component FasIII during epidermal wound healing A, BTime‐lapse series of single‐cell wound healing in a larva expressing mCherry‐Atg8a (magenta) (A58>mCherry‐Atg8a) and endogenously tagged FasIII (GFP gene trap; green), a transmembrane component of septate junctions. (B) Higher magnification of the post‐wounding time points in (A). Images from Movie EV18; see also Movies EV19 and EV20. Each frame is a merge of 68 planes spaced 0.28 μm apart. A, n = 11 larvaeCTransmission electron microscopy of larval epidermis overexpressing Atg16B shows autophagosomes in direct contact with plasma membrane (magenta arrows) and at the sites of cell–cell junctions (orange arrows). The lower panel shows a higher magnification of Atg16B image in Fig 3D. Data information: Scale bars: A, B 20 μm; C 500 nm.	PMC9194749	EMBJ-41-e109992-g002.jpg
0.382996	4746c73cdbbd43b0b68696c70459a1eb	Loss of lateral membrane integrity A–DFluorescence loss in photobleaching (FLIP) to test free cytoplasmic GFP motility within the epidermis. A small area (magenta circle; 179 or 1,098 µm2) was laser‐illuminated for the indicated times (3 or 20 min) in control or Atg1‐expressing epidermis also expressing free GFP. (A) Snapshots before bleaching and at 3 points of recovery. (B) Kymographs along the broken line in (A) during recovery. (C, D) Quantification of fluorescence recovery after bleaching, shown separately for 3 and 20 min bleaching protocols.E, FElectron micrographs showing morphological defects or absence of lateral cell membranes in epithelia with upregulated autophagy. (E) Membrane domains with tight apposition between neighbouring cells are marked in magenta (adherens junctions), green (septate junction) and orange (gap junctions). (F) Nuclei (yellow) and lateral membranes in healthy epidermal cells cannot be shown in one image because they are too far apart, whereas when autophagy is upregulated, nuclei are often found close together and not separated by plasma membranes. C: cuticle (blue). Data information: A–D n = 5–9 larvae for each FLIP protocol. Scale bars: A, 20 μm and E, F, 2 μm. Images from Movies [Link], [Link], [Link]. Source data are available online for this figure.	PMC9194749	EMBJ-41-e109992-g003.jpg
0.460009	a678a601953547eb91d9e18994d2ccad	Effect of uncontrolled autophagy on nuclear morphology The nuclear lamina is visualized using a GFP‐tag inserted into the endogenous locus of the Kugelkern (Kuk) gene in animals expressing the indicated overexpression or RNAi constructs in the epidermis.A GFP‐tagged transgenic construct of Kugelkern is co‐expressed with the indicated overexpression or RNAi constructs. High levels of Kuk induce lobulation and other nuclear defects, which are ameliorated if TOR is downregulated or autophagy upregulated, but not if other branches of the TOR signalling pathways (S6K or rictor) are modified. Data information: The lower rows show higher magnification of the nuclei marked above. n = 20–30 larvae each genotype. Scale bars: A, B, upper rows, 20 μm; lower rows, 5 μm.	PMC9194749	EMBJ-41-e109992-g004.jpg
0.388913	b00b416e2cb541ab9a361d96919f3651	Effect of uncontrolled autophagy on gut enterocytes and barrier function Larval gut epithelia in which enterocytes express a marker for polarity and septate junctions, GFP‐Dlg using the NP1‐Gal4 driver together with or without Atg16B. Expression of Atg16B leads to disruption of lateral plasma membrane (magenta arrows). n = 32–44 larvae each genotype.Smurf gut barrier assay in anaesthetized, live larvae. Left, control larvae, right, larvae overexpressing Atg16B in the gut enterocytes under control of the NP1‐Gal4 driver. While the distribution of food in the gut of Atg16B‐expressing larvae was different from controls, there was no leakage of dye from the gut in any of the animals in three independent experiments (each with n = 30 larvae for each genotype). Data information: Scale bars: A, 20 μm; B, 1,000 µm.	PMC9194749	EMBJ-41-e109992-g005.jpg
0.372882	ae709aba14de4491938ebacec8d2b6a8	Syncytium formation during wound healing Schematic for timing of transgene expression and start of live imaging. Gene expression was induced at the end of the second larval instar, laser ablation and imaging started 30 h later.Wound healing in epithelia with clonally expressed cytoplasmic GFP (magenta) under the actin5c‐Gal4 driver in control larvae (act>GFP) or larvae expressing RNAi constructs specific for Atg1 or Atg5. Laser‐ablated cells are marked with white asterisks. To visualize cell borders DE‐cad‐RFP (green) was expressed in all tested genotypes. By the end of wound closure, GFP from the clonal cells has spread to all cells around the wound in the control, but not if autophagy is suppressed, regardless of the number of cells initially expressing GFP.Control larva in which a GFP‐expressing cell was wounded. No GFP is induced in or taken up by the surrounding cells.Control experiment in which the central cell was damaged but not killed (white marked area). No wound response occurs and no GFP leakage between neighbouring cells is seen. Data information: (A–D) n = 6–9 larvae each genotype. The control pre‐wounding small clone in b (top left panel) is from Kakanj et al, 2016. B, C, D, z‐projections of time‐lapse series. B–D, Scale bars, 20μm. Pre W: pre‐wounding. Images from Movies [Link], [Link], [Link], [Link], [Link].	PMC9194749	EMBJ-41-e109992-g006.jpg
0.386753	406d6840ac554fddb0b4fb6c725ba9fd	Autophagy in unwounded epidermis A–EControl of epidermal autophagy by TOR signalling. (A) Epidermis of third instar larvae expressing the autophagosome marker GFP‐Atg8a together with constructs for up‐ or downregulating the autophagy pathway in the epidermis. Healthy epidermis contains few autophagosomes, but artificially activating autophagy through overexpression of Atg1 or blocking TOR signalling leads to accumulation of autophagosomes. (B) Higher magnification of the areas marked by magenta boxes in (A). (C) Quantification of Atg8a puncta in an area of 10,000 µm2, n = 6–8 larvae each genotype. We assumed unequal sample size and unequal variances and calculations were performed. Values are presented as box plots. Box plot elements are: centre line, median; box limits, upper and lower quartiles; whiskers, 1.5× interquartile range; points, outliers. For statistical hypothesis testing, independent and non‐parametric (Kruskal–Wallis) t‐tests were performed for the mean number of spots in control and experimental conditions. P‐values are indicated as follows: P < 0.04; P < 0.003; **P < 0.0002 and lack of an asterisk means non‐significant (P > 0.123). (D, E) Transmission electron micrographs of sections through the epidermis of larvae with elevated autophagy at two different magnifications. AP: autophagosome; Ax: cross‐section of an axon; BL: basal lamina; C: cuticle; HD: hemidesmosome; M: mitochondrion; N: nucleus.FDisruption of epidermal morphology after upregulation of autophagy. The membrane marker Src‐GFP is lost from large areas of the epidermis and nuclei have lost their regular spacing. Image in control and rictori panels are from the time laps in Appendix Fig S5B and Movie EV12.GSchematic for temporally controlled transgene expression and imaging in (H). Gene expression is induced at the end of the second larval instar, live imaging started 6 h later and continued for an additional 6 h.HExample of membrane dynamics after time‐controlled Atg16B expression. Src‐GFP containing material appears to be taken out of and eventually detached from lateral cell membranes (arrows). Over the period of observation, abnormal accumulation of GFP is seen in the nuclei (cyan asterisks). t = 0 is 6 h after A58‐Gal4 activation. Image from Movie EV9. Data information: A, B, F, H, z‐projections; n = 20–50 larvae each genotype. Scale bars: A, F, H, 20 μm, B, 10 μm, D, 1 μm and E, 500 nm. Source data are available online for this figure.	PMC9194749	EMBJ-41-e109992-g007.jpg
0.411007	69e997fedc8142b19dd99c9e095555e0	Autophagy during epidermal wound healing A–DAppearance of autophagic structures (marked with GFP‐Atg8a) during wound closure in the epidermis of control third instar larvae and after epidermal knockdown of the autophagy pathway components Atg1, Atg5, Atg6, Atg7 or Atg12. All constructs are expressed in the epidermis under the control of the A58‐Gal4 driver. (A) Time points from movies of wounded epidermis. The wounds have closed by 2 h in all cases. (B) Higher magnification of the areas marked by magenta boxes at t = 120 min. (C) Quantification of the appearance of GFP‐Atg8a puncta in the imaged area (10,000 µm2) 3 control larvae, shown for each individual larva. (D) Quantification of number of GFP‐Atg8a puncta in different genetic conditions measured in an area of 10,000 µm2 at the time of wound closure; n = 4–10 larvae each genotype, for the detail see Data analysis. We assumed unequal sample size and unequal variances and calculations were performed. Values are presented as box plots. Box plot elements are: centre line, median; box limits, upper and lower quartiles; whiskers, 1.5× interquartile range; points, outliers. For statistical hypothesis testing, independent and non‐parametric (Kruskal–Wallis) t‐tests were performed for the mean number of spots in control and experimental conditions. P‐values are indicated as follows: P < 0.04; **P < 0.0002 and lack of an asterisk means non‐significant (P > 0.123).E, FEffect of suppressing autophagy on wound healing and actin cable formation. Time‐lapse series of single‐cell wound healing in larvae expressing (E) Src‐GFP (green) and DsRed2‐Nuc (magenta) to mark cell membrane and nuclei and (F) endogenously GFP‐tagged E‐cadherin (DE‐cad‐GFP; green) and mCherry‐marked myosin regulatory light chain (Sqh‐mCherry; magenta) to visualize adherens junctions and actomyosin cables. Data information: (A, B, E, F) Z–projections of time‐lapse series in early L3 larvae, n = 9–15 larvae each genotype. Scale bars, A, E, F, 20 μm and B, 10 μm. Pre W: pre‐wounding. Images from Movies [Link], [Link], [Link], [Link], [Link]. Genotypes of all images are listed in Table 2. Source data are available online for this figure.	PMC9194749	EMBJ-41-e109992-g010.jpg

0.419077

bae422556be0465d84ab494b842ebe43

The influence of IOT grinding time on the (a) cumulative intrusion volume, and (b) pore volume distributions of the 28-d concrete.

PMC9181601

materials-15-03866-g009.jpg

0.418699

d27f6b39c2ed4c249bca005580aabe9d

The influence of SCMs content on the (a) cumulative intrusion volume, and (b) pore volume distributions of the 28-d concrete.

PMC9181601

materials-15-03866-g010.jpg

0.395195

4a2d389bb65e45ef8430299f3c83943b

Identified BSE images of samples at 28-d of (a) G0, (b) G1.5, (c) G2, (d) C0, (e) C20, and (f) C30.

PMC9181601

materials-15-03866-g011.jpg

0.509965

07ebf277cce24c5a855722399d604152

Effect of IOT grinding time on (a) Porosity, and (b) Anhydrous profiles of 28-d concrete.

PMC9181601

materials-15-03866-g012.jpg

0.41962

050c2c366c8747769acb9d10f693d2f8

Effect of SCMs content on (a) Porosity, and (b) Anhydrous profiles of 28-d concrete.

PMC9181601

materials-15-03866-g013.jpg

0.413329

5d9acda06441498782ce87926f536b1f

Several triazole drugs for IFIs in clinic and the structures of our lead compounds.

PMC9182106

molecules-27-03370-g001.jpg

0.424235

ab681cafd71143c1b598eba1ef734a55

Design strategy of target compounds.

PMC9182106

molecules-27-03370-g002.jpg

0.488303

e4adce84ec044febb27f7eee6ff5f892

The evaluation chart of Alog P and PSA of target compounds. The 95% and 99% confidence limit ellipses of blood–brain barrier (BBB) and human intestinal absorption (Absorption) models.

PMC9182106

molecules-27-03370-g003.jpg

0.378758

4bd75514131c4009b38ceb7ca6f1e465

Anti-hyphal effects of different concentrations of compounds 5k and 6c with FCZ (fluconazole) as a positive agent. Exponentially growing C. albicans SC5314 cells were transferred to hypha-inducing Spider liquid medium. The cellular morphology was photographed after incubation at 37 °C for 3 h. Scale bar = 20 μm.

PMC9182106

molecules-27-03370-g004.jpg

0.502806

1aabd9763b6643dfb11faa5f8a65b7bd

Effects of the antifungal treatments on the tissue burden. Each mouse was intravenously infected with C. albicans SC5314 5 × 106. Saline, FCZ (fluconazole, 0.3 mg/kg), compound 6c (0.3 mg/kg and 1.0 mg/kg) were administered orally once daily for 3 days after infection. Kidneys of mice were harvested on day 4 and colony-forming units were measured. * p < 0.05, ** p < 0.01, *** p < 0.001, determined by ANOVA.

PMC9182106

molecules-27-03370-g005.jpg

0.459056

b339f72fced14a8d8fae5e1992231360

In vivo efficacy of compound 6c (0.5, 1.0 and 2.0 mg/kg) and FCZ (fluconazole, 0.5 mg/kg) in a systemic infection of an ICR mouse model (n = 10) with C. albicans SC5314. ** p < 0.01, *** p < 0.001, determined by ANOVA.

PMC9182106

molecules-27-03370-g006.jpg

0.422658

4a52883878cc4793bd7ce72ae9c2a059

The binding mode of compound 6c in the active site of CYP51. Compound 6c, heme group, residues are shown in brown, yellow or green sticks, respectively. Hydrogen-bonding interaction was shown in red and π–π stacking interaction was shown in forest green. Image depicting the proposed binding mode was generated using PyMOL.

PMC9182106

molecules-27-03370-g007.jpg

0.457234

a185e87fe7164ebd9e37d007c89be901

Synthesis of the target compounds. (i) 4-Iodo-1H-pyrazole, K2CO3, DMF, 80 °C, 4 h; (ii) Methyl 4-ethynylbenzoate, PdCl2(PPh3)2, CuI, DIEA, NMP, 60 °C, 6 h; (iii) LiOH, THF/H2O (V/V= 1:1), 50 °C, 6 h; (iv) Alkyl amines or aromatic amines, DIEA, PyBOP, 50 °C, 4~8 h; (v) substituted (4-ethynylphenoxy)methyls, PdCl2(PPh3)2, CuI, DIEA, NMP, 60 °C, 6 h.

PMC9182106

molecules-27-03370-sch001.jpg

0.409737

903907db9fc04fe7ac72da17194f781a

Possible applications of ceramic nanofibers.

PMC9182284

materials-15-03909-g001.jpg

0.509011

90729976e44b4d308e62fb0c5619bd66

Main studies addressing ceramic nanofibers applied in wound-healing applications over the last six years [20,66,67,68,69,70,71].

PMC9182284

materials-15-03909-g002.jpg

0.473939

b4bfe8fb08d5432286c988b1358b6bb2

Evolution of the implant area in Wistar rats: (A) control rat prior to surgical intervention; (B) two weeks after material implantation, being observed inflammation in the incisions on the subcutaneous tissue; (C) four weeks of the surgical intervention, with a significant decrease in inflammation; and (D) six weeks after the intervention, the rat showed a very noticeable surgical decrease in the incisions’ inflammation, with a considerable growth in the rat’s hair and its scars (reprinted from Garibay-Alvarado et al. [74], copyright (2021), with permission from PloS ONE).

PMC9182284

materials-15-03909-g003.jpg

0.434144

d025275842774794a5ea9eaf15316745

Schematic representation of the influence of ceramic nanofibers on the wound healing process.

PMC9182284

materials-15-03909-g004.jpg

0.403193

b27c9265192440eb8ca4c5dd44a405b8

Optical images of an in vitro wound-healing assay undertaken on a human skin fibroblast cell line: (A) SV 40-transformed GM 00637; (B) scratch created by micropipette on the confluent cell culture plate; (C–E) control sample at 4, 6, and 24 h, respectively; (F–H) ABGnf (without boron) at 4, 6, and 24 h; and (I–K) ABGnf (with boron) at 4, 6, and 24 h, respectively. Reprinted from [88], copyright (2020), with permission from the International Journal of Applied Glass Science.

PMC9182284

materials-15-03909-g005.jpg

0.484221

06009b2ab7ac4b82908b0f6367aa4ecf

Main studies addressing ceramic nanofibers applied in bone regeneration applications over the last six years [23,55,56,74,114,115,116,117,118,119,120,121].

PMC9182284

materials-15-03909-g006.jpg

0.374951

96a088b90db949e1a0b5034b0c6f87ef

Live/dead immunofluorescence staining results of osteoblast cells cultured for one (A,D), three (B,E), and five (C,F) days on binary glass nanofibrous scaffold (A–C), as well as a blank control (D–F). Reprinted from Luo et al. [55], copyright (2017), with permission from Materials Science and Engineering: C.

PMC9182284

materials-15-03909-g007.jpg

0.477956

29c00a4ad7de412396fc7bfd356f8823

SEM images and the corresponding high magnification images of NBG scaffolds (A), after immersion in SBF for (B,C) one, (D,E) three, and (F,G) seven days (insets show local enlarged areas). Reprinted from [156], copyright (2018), with permission from RSC Advances.

PMC9182284

materials-15-03909-g008.jpg

0.443594

3eaf2a907c3b4c5ca5d195b186835c56

(A) MTT activity of MC3T3-E1 cells cultured on studied scaffolds for 7, 14, and 21 days. (B) Total protein content (μg/mL), up to 7, 14, and 21 days of cell culture of the osteoblastic lineage MC3T3 cultured on the studied scaffolds. (C) Alkaline phosphatase activity (U/L) of MC3T3-E1 cells on the studied scaffolds. (* statistical significant differences with p-value < 0.05; ** statistical significant differences with p-value < 0.01; *** statistical significant differences with p-value < 0.001). Reprinted from [23], copyright (2021), with permission from Ceramics International.

PMC9182284

materials-15-03909-g009.jpg

0.419088

2f0b5aaedce647c281e9aa3d32456652

(A) Weight loss, cumulative release of (B) calcium ions and (C) silicate ions from sintered nanofibers of CS-800, CS-1000, and CS-1200; (D1–D3) shows SEM images and (E1,E3) TEM images of the corresponding calcium silicate nanofibers, after degradation in deionized water at 37 °C for 21 days; (D1,E1) corresponding to CS-800 composition; (D2,E2) corresponding to CS-1000 and (D3,E3) to CS-1200. Reprinted from [170], copyright (2019), with permission from Ceramics International.

PMC9182284

materials-15-03909-g010.jpg

0.442086

58319f12fbee43aab16cb36d6f7f281c

Schematic representation of the influence of ceramic nanofibers on the wound-healing process.

PMC9182284

materials-15-03909-g011.jpg

0.455453

af04f6f5e6ce4bdea4bf3e70e26f941f

Evaluation of osteogenic differentiation of BMSCs cultured on doped and non-ion doped nanofibers compositions by an analysis of osteogenesis-related markers including: (A) quantitative analysis on ALP activity; (B) quantitative analysis on COL-I synthesis; (C) ALP staining and Alizarin red staining for calcium modules. * p < 0.05, significant; ** p < 0.01 and *** p < 0.001, highly significant (n = 4). Reprinted from [197], copyright (2021), with permission from Ceramics International.

PMC9182284

materials-15-03909-g012.jpg

0.453541

eb46188538b1451e962202028a0d9a02

The effect of CPF intervention on intestinal microbiota in mice with circadian rhythm disturbance: (A) Venn diagrams of the operational taxonomic unit (OTU) in the three groups. (B) Circos plot of the top5 microbial taxa at the phylum level. Microbial distributions of different groups at the phylum (C) and genus levels (D). Difference analysis of gut microbiota composition at the genus level between the CD and CT groups (E) and between the CD and CPF groups (F). (G) Dominant microbial taxa of the CPF group. (H) The alternation of the microbial taxa in the CD group. (I) The alternation of the microbial taxa in the CPF group.

PMC9182649

nutrients-14-02308-g001.jpg

0.453025

5e780a54c4e54f618542131f87050e79

The effect of CPFs on gut metabolites in mice with circadian rhythm disturbance. (A) The classification of differential metabolites in the CD group. (B) Differential metabolites between the CT and CD groups. (C) Differential metabolites between the CPF and CD groups. (D) KEGG enrichment pathways of significantly regulated differential metabolites between the CD and CT groups. (E) KEGG enrichment pathways of significantly regulated differential metabolites under CPF supplementation.

PMC9182649

nutrients-14-02308-g002.jpg

0.406579

f72eea4e41514fdc85bb4e695e40a8cf

Spearman analysis of the correlation between intestinal microbial composition and intestinal differential metabolites: (A) Spearman correlation analysis between genus and metabolite concentrations affected by CPF supplementation. (B) Network diagram of intestinal differential metabolites and microbial taxa. * p < 0.05.

PMC9182649

nutrients-14-02308-g003.jpg

0.448956

19bc1439794b46078ba801edc565cdcf

Single-cell RNA-seq identified circadian-rhythm-associated brain cell populations in the hypothalamus of mice: (A) t-SNE map of single cells of the hypothalamus in the CD, CT, and CPF groups. (B) t-SNE images of total hypothalamic cells in different clusters. (C) t-SNE identification map of hypothalamic single cells in the CT, CD, and CPF groups of samples. (D) t-SNE identification map of hypothalamic single cells in the CD group. (E) t-SNE identification map of hypothalamic single cells in the CPF group. (F) The percentage of cell types identified per cell cluster.

PMC9182649

nutrients-14-02308-g004.jpg

0.391722

7e5c531f5b444feea9f5526e6287550a

Effect of CPFs on the expression of circadian clock genes in the hypothalamus: t-SNE map of the expression of rhythm genes in the hypothalamus in the CPF group (A) and CD group (B). (C) Dot plots of circadian rhythm gene expression levels in different clusters of the CPF group. (D) Violin plot of the expression of circadian rhythm genes in the main cell types of the CPF group.

PMC9182649

nutrients-14-02308-g005.jpg

0.420232

5177376af3b0474ea0441078139120ac

Effects of CPF intervention on gene enrichment pathways in the hypothalamus: (A) GO classification analysis of DEGs in the hypothalamus between the CD and CPF groups. (B) The regulation of CPF intervention on DEGs involved in myelination of the CNS. (C) KEGG classification analysis of DEGs in the hypothalamus between the CD and CPF groups. (D) The regulation of CPF intervention on DEGs involved in insulin secretion. (E) The regulation of CPF intervention on DEGs involved in Parkinson disease. (F) The regulation of CPF intervention on DEGs involved in Alzheimer disease.

PMC9182649

nutrients-14-02308-g006.jpg

0.441542

b46e21492ee64382a457b8404e2729c1

Combined effect of field and year (F x Y) on bunch weight (a) and bunch number (b) of V. vinifera subsp. vinifera ‘Falanghina’ vines at the four study sites: SL-Santa Lucia, CA-Calvese, GR-Grottole, AC-Acquafredde. Mean values and standard errors are shown. Different letters indicate significant differences according to Duncan’s multiple range test (p ≤ 0.05).

PMC9182941

plants-11-01507-g001.jpg

0.362865

c2c5c9d4ecbd450e96a8ef4a1d68329d

Combined effect of field and year (F x Y) on net photosynthetic rate (Pn) of V. vinifera subsp. vinifera ‘Falanghina’ vines at the four study sites: SL-Santa Lucia, CA-Calvese, GR-Grottole, AC-Acquafredde. Mean values and standard errors are shown. Different letters indicate significant differences according to Duncan’s multiple range test (p ≤ 0.05).

PMC9182941

plants-11-01507-g002.jpg

0.471389

598bf982b059487e8ff262cd58644552

Epi-fluorescence microscopy views of abaxial leaf epidermis of V. vinifera ‘Falanghina’ vines at the four study sites: SL-Santa Lucia (a), CA-Calvese (b), GR-Grottole (c), AC-Acquafredde (d). Images are all at the same magnification. Bar = 50 µm.

PMC9182941

plants-11-01507-g003.jpg

0.430778

39d7789843864b6f88ba30dad2d66ea9

Combined effect of field and year (F x Y) on stomatal frequency of V. vinifera subsp. vinifera ‘Falanghina’ vines at the four study sites: SL-Santa Lucia, CA-Calvese, GR-Grottole, AC-Acquafredde. Mean values and standard errors are shown. Different letters indicate significant differences according to Duncan’s multiple range test (p ≤ 0.05).

PMC9182941

plants-11-01507-g004.jpg

0.442126

5a81056833f143fc9b2c80e4b02cad92

Combined effect of field and year (F x Y) on Total VAA (a) and FVEA (b) of V. vinifera subsp. vinifera ‘Falanghina’ vines at the four study sites: SL-Santa Lucia, CA-Calvese, GR-Grottole, AC-Acquafredde. Mean values and standard errors are shown. Different letters indicate significant differences according to Duncan’s multiple range test (p ≤ 0.05).

PMC9182941

plants-11-01507-g005.jpg

0.570067

caa199102c5048f9acfb320ea2e19745

The four experimental sites Santa Lucia (a), Calvese (b), Grottole (c), Acquefredde (d) vineyards.

PMC9182941

plants-11-01507-g006.jpg

0.522643

e9bef397fc7d41b6b50a87fa98786e13

Light microscopy views of V. vinifera ‘Falanghina’ leaf lamina sample with arrows pointing to the FVEA (2, second-order vein). Bar = 300 µm.

PMC9182941

plants-11-01507-g007.jpg

0.45277

4d1aad737b4d476480f96f491b8fff18

Circular symbiosis system in ecological production park.

PMC9184201

CIN2022-8410996.001.jpg

0.53863

94d628e048764ffaad2263aaa671ba7b

Ensemble learning optimization model based on parallel evolution method.

PMC9184201

CIN2022-8410996.002.jpg

0.443531

8fd99c2d2e1e4096837d0bbb555d8286

Structure of AG and AH production park.

PMC9184201

CIN2022-8410996.003.jpg

0.42711

a9e65fcbc002472d946f4da90f08265d

Experimental design and verification environment.

PMC9184201

CIN2022-8410996.004.jpg

0.434582

55dbabfe7d32481395a01bb76777e8e1

Water storage of different crop species in AG and AH production park before and after model optimization (1, rice; 2, wheat; 3, corn; 4, potato; 5, tomato; 6, cucumber).

PMC9184201

CIN2022-8410996.005.jpg

0.516385

2a86a9c36a8e4c5d839618be0041d79a

Water storage of different crop species in the experimental field before and after model optimization (1, rice; 2, wheat; 3, corn; 4, potato; 5, tomato; 6, cucumber).

PMC9184201

CIN2022-8410996.006.jpg

0.392204

23be231e4ede4abcb4a4821ed15ae7f5

Crop yield of different crop species before and after model optimization in the AG and AH production park (1, rice; 2, wheat; 3, corn; 4, potato; 5, tomato; 6, cucumber).

PMC9184201

CIN2022-8410996.007.jpg

0.393478

e5fb2277a194437c8847852a27dc9dd5

Crop yield of different crop species in the experimental field before and after model optimization (1, rice; 2, wheat; 3, corn; 4, potato; 5, tomato; 6, cucumber).

PMC9184201

CIN2022-8410996.008.jpg

0.451387

6bbf91bd2f614bc596732e6fcf2215fa

Crop survival rate of different crop species before and after optimization in the AG and AH park (1, rice; 2, wheat; 3, corn; 4, potato; 5, tomato; 6, cucumber).

PMC9184201

CIN2022-8410996.009.jpg

0.410761

011cf648042e4e61af00f0bc7dfdc22f

Crop survival rate of different crop species in the experimental field before and after optimization (1, rice; 2, wheat; 3, corn; 4, potato; 5, tomato; 6, cucumber).

PMC9184201

CIN2022-8410996.010.jpg

0.413224

4d83082fde2e406293561cdaca4bbd8d

Principle of compact light field photography.a A conventional light field camera captures the scene from different views with a lens array and records all sub-aperture images. In contrast, CLIP records (operator \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{{{{{\bf{A}}}}}}}_{{k}}$$\end{document}Ak) only a few nonlocal measurements (\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{{{{{\bf{f}}}}}}}_{{k}}$$\end{document}fk to fn) from each sub-aperture image and exploits the depth-dependent disparity (modeled by Bk) to relate the sub-aperture images for gathering enough information to reconstruct the scene computationally. Refocusing is achieved by varying the depth-dependent disparity model Bk. b Seeing through severe occlusions by CLIP as a camera array, with each camera only recording partial nonlocal information of the scene. A obscured object (from the camera with black rays) remains partially visible to some other views (with green rays), whose nonlocal and complementary information enables compressive retrieval of the object. c Illustration of instantaneous compressibility of the time-of-flight measurements for a 3D scene in a flash LiDAR setup, where a transient illumination and measurement slice the crowded 3D scene along the depth (time) direction into a sequence of simpler instantaneous 2D images. d–f CLIP embodiments that directly perform nonlocal image acquisitions with a single-pixel, a linear array, and 2D area detectors, respectively. A single pixel utilizes a defocused spherical lens to integrate a coded image, with u and v behind the lnes being the angular dimension. A cylindrical lens yields along its invariant axis a radon transformation of the en-face image onto a 1D sensor. The complex-valued mask such as a random lens produces a random, wide-field PSF that varies with object depth to allow light field imaging. PSF point spread function, CLIP compact light field photography, LiDAR light detection and ranging, 1D, 2D, 3D one, two, and three-dimensional.

PMC9184585

41467_2022_31087_Fig1_HTML.jpg

0.423435

b738b815c1ee44c78f1fd05701c604e5

Three-dimensional imaging (3D) through occlusions.a–c Reconstructed 3D images rendered in different perspective for three scenes: circular plate (a) and letter V (b) behind the letter N, and letter X (c) blocked by a rectangular plate. The severe occlusions are evident from the front view images, with the larger objects in the front completely blocked the object right behind them. In contrast, CLIP is able to unambiguously reconstruct the obstructed objects in 3D without any defocusing signals from the preceding occluder. d Three representative frames of imaging a 2 × 2 grid pattern moving across the CLIP camera FOV behind a rectangular occluder. Note that signals from the black occluders are enhanced relative to the objects for better visualization.

PMC9184585

41467_2022_31087_Fig2_HTML.jpg

0.426643

ea405944f2384409bde86df35da01331

Snapshot flash LiDAR imaging over an extended depth range.a Flash LiDAR imaging of a letter scene. From left to right are the reference photographs, a projected two-dimensional LiDAR images along the depth direction, and the 3D (three-dimensional) point-cloud representation of the scene. b flash LiDAR of the same 3D scene without extending the imaging depth of field, obtained by refocusing the camera onto a single focal plane. Note the defocus blur in the near and far objects. c Computational all-in-focus image. d and e Two representative frames for the dynamic imaging of a manually rotated letter V in a simple and cluttered scene, respectively.

PMC9184585

41467_2022_31087_Fig3_HTML.jpg

0.407349

2cd6417124d241cea6603f9889a38213

NLOS imaging by CLIP-ToF.a–c Imaging with planar, disconnected, and curved surfaces, respectively. From left to right are the flash LiDAR imaging of the relay surfaces, and two example hidden objects rendered as a projection image in the front view, and a 3D (three-dimensional) point cloud. Ground truth photographs of the object are shown in the inset of the front view image. d, e Reconstructed NLOS images for the disconnected and curved surfaces, respectively, with defocus errors on the relay wall, and those recovered with extended depth of field (highlighted by the green box). The quality of reconstruction degrades when the camera’s extended depth of field is disabled.

PMC9184585

41467_2022_31087_Fig4_HTML.jpg

0.41548

97f95e13afef41b584887b4c1308d6ec

Basic information of 3 groups of sensors: (a) Latitude and longitude range of each group of sensors; (b) Specific position of each group of sensors.

PMC9185465

sensors-22-04304-g001.jpg

0.453224

07ff568d66604b1ba3b6165fa1c857f4

Input data for three modes. (a) Input data of TR mode; (b) Input data of SR mode; (c) Input data of AR mode.

PMC9185465

sensors-22-04304-g002.jpg

0.367304

6878c63638fc49829028f0081f7960ca

Pearson correlation coefficient of input Matrix. (a) Correlation matrix of TR mode; (b) Correlation matrix of SR mode.

PMC9185465

sensors-22-04304-g003.jpg

0.428695

cd327ea789d54e5e9ec11ed78ccce8a9

Visualization results of AR data with t-SNE.

PMC9185465

sensors-22-04304-g004.jpg

0.498034

d6267441bac34ce6ab3448460e0fe039

Traditional FCM parameter selection result.

PMC9185465

sensors-22-04304-g005.jpg

0.406815

683c9f104c3844cba1388d39a1427d91

Example of TGO algorithm. (a) Data gridding; (b) Grid frequency distribution; (c) Cumulative contribution rate of each grid density; (d) Results of the first grid optimization; (e) Results of the second grid optimization.

PMC9185465

sensors-22-04304-g006.jpg

0.40949

805f37a2e8e548889688752d4c41feef

The selection result of thresholds.

PMC9185465

sensors-22-04304-g007.jpg

0.464969

4f5dcde0d7d44225af43f32487a17755

The XB index of each cluster center.

PMC9185465

sensors-22-04304-g008.jpg

0.41413

a411ba3fa3df4b33ad1e2143c0a43e62

Absolute error of different schemes at different loss ratios.

PMC9185465

sensors-22-04304-g009.jpg

0.399649

b4c2eeb6d7cf4314bdb668b80d5fa97c

The RMSE of different schemes on different groups of sensor data. (a) RMSE of the first group of sensors; (b) RMSE of the second group of sensors; (c) RMSE of the third group of sensors.

PMC9185465

sensors-22-04304-g010.jpg

0.421494

b71637442cc5473da1eaa55846ce0ae9

The RA of different schemes on different groups of sensor data. (a) RA of the No.1 sensors; (b) RA of the No.2 sensors; (c) RA of the No.3 sensors.

PMC9185465

sensors-22-04304-g011.jpg

0.471889

d05a628b885b4194a64cb69b6538da05

Comparison results of RMSE and RA.

PMC9185465

sensors-22-04304-g012.jpg

0.455241

43246553a4ba4e1e885b40ce6b5632a3

Effect of Assessment of Identity Development in Adolescence (AIDA) on BMI Increase over Time. Black lines indicate conditional regression lines for very low (M−2 SD), low (M−1 SD), medium (M), high (M +1 SD), and very high (M +2 SD) AIDA scores. BMI, Body mass index.

PMC9186337

fpsyt-13-887588-g0001.jpg

0.405436

254862362433483d99fd80855047f7a5

Effect of Assessment of Identity Development in Adolescence (AIDA) on BMI-SDS Increase over Time. Black lines indicate conditional regression lines for very low (M−2 SD), low (M−1 SD), medium (M), high (M +1 SD), and very high (M +2 SD) AIDA scores. BMI-SDS, Body mass index standard deviation score.

PMC9186337

fpsyt-13-887588-g0002.jpg

0.50654

1e8da102115c4fa6b6c941ba0acf6376

Flowchart of psychometric data analysis. ASQ:SE, Ages & Stages Questionnaires: Social-Emotional; KMO, Kaiser–Meyer–Olkin; NEST, Next Eigenvalue Sufficiency Test; PCA, principal component analysis.

PMC9187369

10-1055-s-0041-1741503-i2131588-1.jpg

0.442205

0508feb060da4a7295ec82ada07f5432

Screen plot with the exploratory factor analysis (EFA) and principal component analysis (PCA) results that were obtained with polychoric and Pearson correlations.

PMC9187369

10-1055-s-0041-1741503-i2131588-2.jpg

0.441568

000aec4169044a539e004286ba2d47a0

Graphical representation of exploratory factor analysis (EFA) and principal component analysis (PCA) models and network analysis results.

PMC9187369

10-1055-s-0041-1741503-i2131588-3.jpg

0.408445

342547f081184126b972271aaff02038

Nickel-catalyzed arylalkylation of alkynes.a The advantages of photocatalysis and electrochemistry. b Limitation of the electrochemical oxidation pathway and potential of the electrochemical reduction pathway in the cross-coupling field. c Initial results of nickel-catalyzed reductive cascade cross-couplings via the traditional reductant, electrochemical, and photocatalyzed pathways. d Stereocontrol of alkenes by switching between electrochemistry and photocatalysis. TDAE, tetrakis(dimethylamino)-ethylene; DMA, dimethylacetamide; PMDTA, N,N,N′,N′′,N′′-pentamethyldiethylentriamin; TMEDA, tetramethylethylenediamine; bpy, 2,2′-bipyridine.

PMC9187637

41467_2022_30985_Fig1_HTML.jpg

0.494542

b02b61ae55fe43a9b779e6c219c78212

Scope of the nickel catalyzed electrochemical arylalkylation of alkynes.Reactions were performed with 0.2 mmol of aryl bromides, 0.4 mmol of alkynes, and 0.6 mmol of alkyl bromide. Yields are of the isolated products.

PMC9187637

41467_2022_30985_Fig2_HTML.jpg

0.391662

2015304490b24203b1327f870a6ac00e

Scope of the photoredox/nickel dual catalyzed arylalkylation of alkynes.Reactions were performed with 0.4 mmol of aryl bromides, 0.2 mmol of alkynes, and 0.6 mmol of alkyl bromide. Yields are of isolated products. The values in parentheses represent the ratio of the two isomers (Psyn:Panti), which was determined by 1H NMR analysis.

PMC9187637

41467_2022_30985_Fig3_HTML.jpg

0.451572

f93df2e2395e44f498954490770d2dd9

Mechanistic study and scope of the photo-assisted electrochemically nickel catalyzed arylalkylation of alkynes.a Isomerization control reactions. b UV/Vis absorption spectroscopy and fluorescence emission spectroscopy of E and Z isomers. c Reactions were performed with 0.2 mmol of aryl bromides, 0.4 mmol of alkynes, and 0.6 mmol of alkyl bromide. Yields are of the isolated products. The values in parentheses represent the ratio of the two isomers (Psyn:Panti), which was determined by 1H NMR analysis. *Reaction performed in DMSO. #Reaction conditions: aryl bromides (0.2 mmol, 1 equiv.), alkynes (0.4 mmol), alkyl bromides (0.6 mmol), NiBr2·d(4-OMe)-bpy (10 mol%), TMEDA (3 equiv.), nBu4NBr (2 equiv.) in 4 mL DMA and electrolysis for 16 h at 4 mA using a graphite anode and nickel foam cathode. The reaction mixture was then directly irradiated with 2*390 nm purple LEDs for 24 h.

PMC9187637

41467_2022_30985_Fig4_HTML.jpg

0.438023

c3d25404f7514248bb55fb7906a99699

Applications.a Scale up reactions for both the E and Z isomers. b Complex molecule synthesis via three different approaches. c Further functionalization of the generated trisubstituted alkene.

PMC9187637

41467_2022_30985_Fig5_HTML.jpg

0.427407

e98d429e008f4142b28e9286506a5d71

Framework: construction of imaginations and the shaping of social practices and sociomaterial structures

PMC9188356

11625_2022_1161_Fig1_HTML.jpg

0.450486

c6d9dfc873d8403fa91745fd547d159f

Proximity of interviewees to trajectories (preservation,modernization, transformation) and scope of change

PMC9188356

11625_2022_1161_Fig2_HTML.jpg

0.430561

fc6432a983304cf0a74a82893c41f2df

Schematic illustration of the preparation of multi-layer mineralized GO-Col-HAp microgels with uniform HAp deposition and their applications in rat cranial defect and mandibular defect repair.

PMC9189211

gr1.jpg

0.477119

e044507b4730473a805c42aa77ad037f

Fabrication of multi-layer mineralized GO-Col-HAp microgels and their schematic illustrations. (A) Experimental steps for the synthesis of multi-layer mineralized GO-Col-HAp microgels using microarray chip and their chemical reaction illustration. (B) Schematic drawing, optical image, and micro ct evaluation of the microgels (Scale bars of low magnification: 500 μm, scale bars of high magnification and micro ct: 200 μm, red arrowheads refer to pore structure). (C) Schematic illustration, optical image, and micro ct analysis of the pearl (Scale bars of low magnification: 5 mm, scale bars of high magnification and micro ct: 1 mm). (D) The porosity of the microgels and peral. (E–F) Quantitative analysis of apatite volume to total volume (AV/TV) and apatite mineral density (AMD) of microgels and pearl (ns: no significance, ∗∗∗p < 0.001).

PMC9189211

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0.455984

f7b49f0bda29428a9abf5887c74d7529

Morphology and physiochemical evaluation of the microgels. (A) SEM images of the surface, coronal-section, and cross-section morphologies of the microgels (Scale bars in low magnification images were 100 μm, and in high magnification images were 10 μm. The red regions represented for the inner layer, the brown regions represented for the middle layer, the blue regions represented for the outer layer, and the white arrowheads represented for HAp). (B) Schematic illustration and EDS mapping images of Ca and P elements and EDS point images of the MMGCH microgels. (C–E) FTIR spectra, XRD spectra, and TGA analysis of the microgels. (F) Pore size of the microgels. (G) Mass increase of the microgels after biomimetic mineralization in SBF. (H) Calcium quantitative analysis of the microgels. (I) Elastic modulus evaluation of the microgels (ns: no significance, ∗p < 0.05, ∗∗p < 0.01, ∗∗∗p < 0.001).

PMC9189211

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0.400092

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In vitro evaluation of migration and proliferation of r-BMSCs on/in the microgels. (A) Schematic illustration of cell migration and proliferation on/in the microgels. (B) Live/dead staining and SEM images of r-BMSCs on/in the microgels (Scale bars in confocal images: 100 μm, and scale bars in SEM images: 10 μm). (C) Quantitative analysis of living cells on/in the microgels at day 1, 4, and 7 post-incubation. (D) Cell viability of r-BMSCs on/in microgels at day 1, 4, and 7 post-incubation. (E) Quantitative analysis of fluorescence intensity in different layers measured at day 7. (∗p < 0.05, ∗∗∗p < 0.001, ns: no significance).

PMC9189211

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0.442062

34505b9205834c478387df9a88eea70c

In vitro evaluation of r-BMSCs osteogenic differentiation on/in the microgels. (A) Schematic illustration of cell osteogenic differentiation on/in the microgels after 4 and 7 days of osteogenic incubation. (B) The protein expression of osteogenic markers of r-BMSCs. (C) Quantitative analysis of ALP, OCN, and COL-1 protein expression for 4 and 7 days on/in microgels, normalized to GAPDH. (D) qRT-PCR analysis of ALP, OCN, and COL-1 gene expression of r-BMSCs during 4 and 7 days of osteogenic incubation respectively. (E) OCN staining of microgels at day 4, 7 post-osteogenic incubation (red arrowheads: positive brown staining, scale bars: 100 μm, ns: no significance, ∗∗P < 0.01, ∗∗∗P < 0.001).

PMC9189211

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0.375254

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In vivo evaluation of the microgels for critical-sized cranial and mandibular defect treatment in rat. (A–D) Representative 3D reconstruction and cross-section images of cranial and mandibular bone defects at week 4 and 12 post-implantation. (E, H) Optical images of the microgels in the defect regions during operation. (F–G) Quantitative evaluation of bone volume to tissue volume (BV/TV) and bone mineral density (BMD) in cranial bone defects. (I–J) Quantitative evaluation of BV/TV and BMD in mandibular bone defects. (ns: no significance, ∗P < 0.05, ∗∗∗P < 0.001).

PMC9189211

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0.41228

f45a6a34769542559b2afa73a3c78ed8

Histological and immunohistochemical analysis of microgels after implantation for 4 and 12 weeks in cranial bone defects. (A) HE staining images of microgels complexes (Scale bars: 500 μm, white rectangle: the lateral margin and the center region of the defects). (B–E) HE staining (B), Masson's trichrome staining (C), OCN staining (D), and COL-1 staining (E) images of the microgels complexes engineered bone constructs (Scale bars: 100 μm, ∗: new bone, &: microgels).

PMC9189211

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0.476818

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Histological and immunohistochemical analysis of microgels after 4 and 12 weeks implantation in mandibular bone defects. (A) HE staining images of the defect region at week 4 and 12 pos-timplantation (Scale bars: 500 μm, white rectangle: the lateral margin and the center region of the defects). (B–E) HE staining, Masson's trichrome staining, OCN staining, and COL-1 staining images of lateral margin and center region of the defect region (Scale bars: 100 μm, ∗: new bone, &: microgels).

PMC9189211

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0.492169

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FAMYLY study design. Patients eligible for the study were treated with fish oil emulsion, daunorubicin and cytarabine at the indicated doses. If the baseline white blood count (WBC) was below 30 G/L, patients received 48 of fish oil before the start of chemotherapy. If the WBC was above or equal to 30 G/L, all treatments were started on the same day. An evaluation bone marrow (BM) evaluation was performed on D15. If the BM blasts were higher than 5%, a second induction was provided at the indicated doses.

PMC9192636

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0.402498

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PUFA plasma pharmacokinetics. Plasma samples were drawn at baseline (H0), 24 and 48 h after the start of FO infusion, after the end of infusion (D10), and at disease evaluation (D28–D35). The PUFA composition of plasma was evaluated by gas chromatography. The sum of docosahexaenoic acid (DHA) and eicosapentaenoic (EPA) acid concentration is indicated for each individual patient (colored lines and dots). Means are indicated by a dash for each timepoint.

PMC9192636

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0.45016

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Historical comparison of survival data from the FAMYLY and LAM2001 trials. Overall survival (OS) was plotted from the inclusion date to the date of death or last follow up. The vertical marks indicate censored observations.

PMC9192636

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0.49276

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Effect of well-watered (WW) and terminal drought (TD) treatments on (A) total shoot biomass, (B) net photosynthesis rate, (C) photosynthetic efficiency of PSII and (D) instantaneous water use efficiency (WUEi) of two common bean (PS and BM) and one tepary bean genotypes (“Tep32”). Data are presented as the mean ± standard error of six biological replicates. Asterisks indicate significant differences between genotypes in the same water treatment by t-test. *p < 0.05, **p < 0.01, and ns not significant. Letters indicate statistical significance between genotypes determined with Tukey’s test. The statistical analyses between water treatments are not shown.

PMC9194640

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0.455586

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Stomatal density and epidermal cell density of two common bean genotypes (PS and BM) and one tepary bean (“Tep32”) under well-watered (WW) and terminal drought (TD) treatments in three different strata: basal (A), middle (B), and apical (C). Data are presented as the mean ± standard error. Inset: micrographs of representative epidermal impressions with stomata in blue for clarity. Scale bars = 50 μm.

PMC9194640

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0.478648

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Stomatal index (SI) and leaf area (left) and stomata width and stomata length (right) of two common bean genotypes (PS and BM) and one tepary bean (“Tep32”) under well-watered (WW) and terminal drought (TD) conditions in three different strata: basal (A), the middle (B), and apical (C). Data are presented as the mean ± standard error.

PMC9194640

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0.424582

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Transpiration efficiency of two common bean (PS and BM) and one tepary bean (“Tep32”) genotypes, under well-watered (WW) and terminal drought (TD) treatments. Data are presented as the mean ± standard error of six biological replicates. “ns” corresponds to not significant (p < 0.05).

PMC9194640

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0.404252

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Normalized transpiration rate vs. fraction of transpirable soil water of two common bean genotypes (PS and BM) and one tepary bean (“Tep32”). The solid line in each graph is the regression fit using the inverse exponential model. The dashed lines are the results of the two-segment plateau regression. Letters in the value of FTSW threshold indicate statistical significance between genotypes determined with Tukey’s test.

PMC9194640

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0.401177

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Effect of uncontrolled autophagy on plasma membrane‐associated proteins A–ESurface views (A–D) and z‐sections (E) of third instar larval epidermis expressing the indicated fluorescent markers and RNAi or overexpression constructs. (A) Bazooka/Par3, normally seen at the apical adherens junction and in a perinuclear position, is lost or reduced in large areas under uncontrolled autophagy as are lateral membrane markers, (B) Fasciclin‐III (FasIII), (C) neuroglian (Nrg) and (D) adherens junctions (DE‐cad), whereas large bundles decorated with MRLC appear. (E) The baso‐lateral transmembrane protein β‐integrin is not lost; in extreme conditions, it is seen in both the apical and basal membranes (overexpression of Atg16B). Arrows in the z‐sections point to high accumulation of integrin along the folded lateral membranes.FElectron micrograph of a section through the larval epidermis to show the highly folded lateral junction between two epidermal cells (magenta and cyan). Left, cartoon; middle, false colouring; right, original image. C: cuticle; M: mitochondrion; BL: basal lamina; AJ: adherens junction; SJ: septate junction; GJ: gap junction, N: nucleus, Mv: apical microvilli connecting the cuticle to the cell. Data information: A–E, n = 15–40 larvae each genotype. Scale bars: A–E, 20 μm and F, 2 μm. Images from Movies EV10 and EV11.

PMC9194749

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Colocalization of Atg8a and septate junction component FasIII during epidermal wound healing A, BTime‐lapse series of single‐cell wound healing in a larva expressing mCherry‐Atg8a (magenta) (A58>mCherry‐Atg8a) and endogenously tagged FasIII (GFP gene trap; green), a transmembrane component of septate junctions. (B) Higher magnification of the post‐wounding time points in (A). Images from Movie EV18; see also Movies EV19 and EV20. Each frame is a merge of 68 planes spaced 0.28 μm apart. A, n = 11 larvaeCTransmission electron microscopy of larval epidermis overexpressing Atg16B shows autophagosomes in direct contact with plasma membrane (magenta arrows) and at the sites of cell–cell junctions (orange arrows). The lower panel shows a higher magnification of Atg16B image in Fig 3D. Data information: Scale bars: A, B 20 μm; C 500 nm.

PMC9194749

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Loss of lateral membrane integrity A–DFluorescence loss in photobleaching (FLIP) to test free cytoplasmic GFP motility within the epidermis. A small area (magenta circle; 179 or 1,098 µm2) was laser‐illuminated for the indicated times (3 or 20 min) in control or Atg1‐expressing epidermis also expressing free GFP. (A) Snapshots before bleaching and at 3 points of recovery. (B) Kymographs along the broken line in (A) during recovery. (C, D) Quantification of fluorescence recovery after bleaching, shown separately for 3 and 20 min bleaching protocols.E, FElectron micrographs showing morphological defects or absence of lateral cell membranes in epithelia with upregulated autophagy. (E) Membrane domains with tight apposition between neighbouring cells are marked in magenta (adherens junctions), green (septate junction) and orange (gap junctions). (F) Nuclei (yellow) and lateral membranes in healthy epidermal cells cannot be shown in one image because they are too far apart, whereas when autophagy is upregulated, nuclei are often found close together and not separated by plasma membranes. C: cuticle (blue). Data information: A–D n = 5–9 larvae for each FLIP protocol. Scale bars: A, 20 μm and E, F, 2 μm. Images from Movies [Link], [Link], [Link]. Source data are available online for this figure.

PMC9194749

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0.460009

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Effect of uncontrolled autophagy on nuclear morphology The nuclear lamina is visualized using a GFP‐tag inserted into the endogenous locus of the Kugelkern (Kuk) gene in animals expressing the indicated overexpression or RNAi constructs in the epidermis.A GFP‐tagged transgenic construct of Kugelkern is co‐expressed with the indicated overexpression or RNAi constructs. High levels of Kuk induce lobulation and other nuclear defects, which are ameliorated if TOR is downregulated or autophagy upregulated, but not if other branches of the TOR signalling pathways (S6K or rictor) are modified. Data information: The lower rows show higher magnification of the nuclei marked above. n = 20–30 larvae each genotype. Scale bars: A, B, upper rows, 20 μm; lower rows, 5 μm.

PMC9194749

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0.388913

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Effect of uncontrolled autophagy on gut enterocytes and barrier function Larval gut epithelia in which enterocytes express a marker for polarity and septate junctions, GFP‐Dlg using the NP1‐Gal4 driver together with or without Atg16B. Expression of Atg16B leads to disruption of lateral plasma membrane (magenta arrows). n = 32–44 larvae each genotype.Smurf gut barrier assay in anaesthetized, live larvae. Left, control larvae, right, larvae overexpressing Atg16B in the gut enterocytes under control of the NP1‐Gal4 driver. While the distribution of food in the gut of Atg16B‐expressing larvae was different from controls, there was no leakage of dye from the gut in any of the animals in three independent experiments (each with n = 30 larvae for each genotype). Data information: Scale bars: A, 20 μm; B, 1,000 µm.

PMC9194749

EMBJ-41-e109992-g005.jpg

0.372882

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Syncytium formation during wound healing Schematic for timing of transgene expression and start of live imaging. Gene expression was induced at the end of the second larval instar, laser ablation and imaging started 30 h later.Wound healing in epithelia with clonally expressed cytoplasmic GFP (magenta) under the actin5c‐Gal4 driver in control larvae (act>GFP) or larvae expressing RNAi constructs specific for Atg1 or Atg5. Laser‐ablated cells are marked with white asterisks. To visualize cell borders DE‐cad‐RFP (green) was expressed in all tested genotypes. By the end of wound closure, GFP from the clonal cells has spread to all cells around the wound in the control, but not if autophagy is suppressed, regardless of the number of cells initially expressing GFP.Control larva in which a GFP‐expressing cell was wounded. No GFP is induced in or taken up by the surrounding cells.Control experiment in which the central cell was damaged but not killed (white marked area). No wound response occurs and no GFP leakage between neighbouring cells is seen. Data information: (A–D) n = 6–9 larvae each genotype. The control pre‐wounding small clone in b (top left panel) is from Kakanj et al, 2016. B, C, D, z‐projections of time‐lapse series. B–D, Scale bars, 20μm. Pre W: pre‐wounding. Images from Movies [Link], [Link], [Link], [Link], [Link].

PMC9194749

EMBJ-41-e109992-g006.jpg

0.386753

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Autophagy in unwounded epidermis A–EControl of epidermal autophagy by TOR signalling. (A) Epidermis of third instar larvae expressing the autophagosome marker GFP‐Atg8a together with constructs for up‐ or downregulating the autophagy pathway in the epidermis. Healthy epidermis contains few autophagosomes, but artificially activating autophagy through overexpression of Atg1 or blocking TOR signalling leads to accumulation of autophagosomes. (B) Higher magnification of the areas marked by magenta boxes in (A). (C) Quantification of Atg8a puncta in an area of 10,000 µm2, n = 6–8 larvae each genotype. We assumed unequal sample size and unequal variances and calculations were performed. Values are presented as box plots. Box plot elements are: centre line, median; box limits, upper and lower quartiles; whiskers, 1.5× interquartile range; points, outliers. For statistical hypothesis testing, independent and non‐parametric (Kruskal–Wallis) t‐tests were performed for the mean number of spots in control and experimental conditions. P‐values are indicated as follows: *P < 0.04; **P < 0.003; ***P < 0.0002 and lack of an asterisk means non‐significant (P > 0.123). (D, E) Transmission electron micrographs of sections through the epidermis of larvae with elevated autophagy at two different magnifications. AP: autophagosome; Ax: cross‐section of an axon; BL: basal lamina; C: cuticle; HD: hemidesmosome; M: mitochondrion; N: nucleus.FDisruption of epidermal morphology after upregulation of autophagy. The membrane marker Src‐GFP is lost from large areas of the epidermis and nuclei have lost their regular spacing. Image in control and rictori panels are from the time laps in Appendix Fig S5B and Movie EV12.GSchematic for temporally controlled transgene expression and imaging in (H). Gene expression is induced at the end of the second larval instar, live imaging started 6 h later and continued for an additional 6 h.HExample of membrane dynamics after time‐controlled Atg16B expression. Src‐GFP containing material appears to be taken out of and eventually detached from lateral cell membranes (arrows). Over the period of observation, abnormal accumulation of GFP is seen in the nuclei (cyan asterisks). t = 0 is 6 h after A58‐Gal4 activation. Image from Movie EV9. Data information: A, B, F, H, z‐projections; n = 20–50 larvae each genotype. Scale bars: A, F, H, 20 μm, B, 10 μm, D, 1 μm and E, 500 nm. Source data are available online for this figure.

PMC9194749

EMBJ-41-e109992-g007.jpg

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Autophagy during epidermal wound healing A–DAppearance of autophagic structures (marked with GFP‐Atg8a) during wound closure in the epidermis of control third instar larvae and after epidermal knockdown of the autophagy pathway components Atg1, Atg5, Atg6, Atg7 or Atg12. All constructs are expressed in the epidermis under the control of the A58‐Gal4 driver. (A) Time points from movies of wounded epidermis. The wounds have closed by 2 h in all cases. (B) Higher magnification of the areas marked by magenta boxes at t = 120 min. (C) Quantification of the appearance of GFP‐Atg8a puncta in the imaged area (10,000 µm2) 3 control larvae, shown for each individual larva. (D) Quantification of number of GFP‐Atg8a puncta in different genetic conditions measured in an area of 10,000 µm2 at the time of wound closure; n = 4–10 larvae each genotype, for the detail see Data analysis. We assumed unequal sample size and unequal variances and calculations were performed. Values are presented as box plots. Box plot elements are: centre line, median; box limits, upper and lower quartiles; whiskers, 1.5× interquartile range; points, outliers. For statistical hypothesis testing, independent and non‐parametric (Kruskal–Wallis) t‐tests were performed for the mean number of spots in control and experimental conditions. P‐values are indicated as follows: *P < 0.04; ***P < 0.0002 and lack of an asterisk means non‐significant (P > 0.123).E, FEffect of suppressing autophagy on wound healing and actin cable formation. Time‐lapse series of single‐cell wound healing in larvae expressing (E) Src‐GFP (green) and DsRed2‐Nuc (magenta) to mark cell membrane and nuclei and (F) endogenously GFP‐tagged E‐cadherin (DE‐cad‐GFP; green) and mCherry‐marked myosin regulatory light chain (Sqh‐mCherry; magenta) to visualize adherens junctions and actomyosin cables. Data information: (A, B, E, F) Z–projections of time‐lapse series in early L3 larvae, n = 9–15 larvae each genotype. Scale bars, A, E, F, 20 μm and B, 10 μm. Pre W: pre‐wounding. Images from Movies [Link], [Link], [Link], [Link], [Link]. Genotypes of all images are listed in Table 2. Source data are available online for this figure.

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