Figure S1. Clinical course of the patient's right oculomotor nerve palsy. The patient had ptosis and restriction of adduction, upturning and downturning of the eye on day 1. On day 4, her ptosis and horizontal eye movements had apparently recovered. One month later, her vertical eye movements had also recovered completely. Figure S2. Gadolinium-enhanced magnetic resonance imaging findings. The right oculomotor nerve near the midbrain was enhanced by gadolinium at the time of diagnosis, but with


Figure S1 Illustration of anatomic landmarks and critical line of safety (CLS): the CLS is the line from the most lateral edge of hepatoduodenal ligament (black dot) to the cystic-hilar plate junction (red dot). It has two main functions: first, the CLS functions as a direct bile duct landmark; second, it indicates a dangerous medial compartment containing bile duct (red box) and an actual safe dissection area free of the bile duct (green box) with respect to three-dimensional anatomy. Video S1


Supplementary dataset to publication: "Genomic epidemiology of Campylobacter fetus subsp. venerealis from Germany" by Abdel-Glil Mostafa Y., Hotzel Helmut, Tomaso Herbert, Didelot Xavier, Brandt Christian, Seyboldt Christian, Linde Jörg, Schwarz Stefan, Neubauer Heinrich, El-Adawy Hosny. Genomic epidemiology of Campylobacter fetus subsp. venerealis from Germany. Frontiers in Veterinary Science. volume 9 (https://www.frontiersin.org/articles/10.3389/fvets.2022.1069062) <br>


Additional file 3.Candidate genes from the NCBI Oncorhynchus mykiss Annotation Release 100 (GCF_002163495.1) that were located within the confidence or credibility intervals estimated using BCπ analysis.


Additional file 6: Table S6. Common KEGG metabolic pathways in the microbiome of cattle feces. A: List of KEGG pathways along with the 175 pathways (marked with an asterisk) we chose to examine as relevant (see Methods) for our analyses. B: Most common pathways based on contigs present in at least 80% of individually collected fecal samples (N = 210) and the most abundant 1000. From left to right: the metabolic pathway KEGG id, the number of predicted KOs identified in that pathway, the pathway


Additional file 1: Table S1. Genomes used in this study. Table S2. Core genes for which phylogenies are strictly consistent with the species tree. Table S3. Recent horizontal gene transfer (HGT) predictions among 50 Rhizobium strains. Table S4. Average nucleotide identity (ANI, %) and digital DNA:DNA hybridization (dDDH, %) values of 10 Ensifer strains and 17 Bradyrhizobium strains based on whole-genome alignments. Table S5. Recent HGT predictions among 10 Ensifer strains and 17 Bradyrhizobium s


Additional file 4. Table S2. DMR results. Table S3. Epigenetic age acceleration results. Table S4. Cell count differences. Table S5. Effects of adjustment for mQTL and allele frequency differences. Table S6. Effects of adjustment for mQTL and allele frequency differences. Table S7. ANNOVAR enrichment. Table S8. GO term enrichment. Table S9. LOLA enrichment.


Supplementary Tables for publication entitled Effect of non-steroidal anti-inflammatory drugs on the inflammatory responses of bovine endometrial epithelial cells in vitro.

Supplementary Table 1 - List of genes analyzed by Nanostring (Nanostring technologies Inc) in the cell culture model.
Supplementary Table 2 - Normalized counts of genes expressed by bovine endometrial epithelial (bEEL) cells that meet the expression threshold for inclusion in statistical analysis (greater than bac


Supplementary Material for ‘Phylogenetic analysis of the salinipostin γ-butyrolactone gene cluster uncovers new potential for bacterial signaling-molecule diversity’ as published in Microbial Genomics.


Supplementary Excel files for "miR-449a mediated repression of the cell cycle machinery prevents neuronal apoptosis" :Dataset S1-S4 Dataset S1 RNASeq Differential expression results: Excel file containing small RNA sequencing differential expression results that are represented in the heat map in Fig. 1A and fold change in miRNA in TgAD with respect to WT arranged according to different fold change cutoffs. Dataset S2 DeSeq2 normalized counts: After DESeq2 analysis, normalized counts of all the


Additional file 3 : Table S3. Differentially expressed circRNAs in the three comparison groups. (Table S3A: Birth compared to E90d; Table S3B: Birth compared to E120d; Table S3C: E120d compared to E90d).


Additional file 3: Figure S2. Intron size distribution comparison. Box plot comparing the natural logarithm of intron size for the selected species and an outgroup member. Each box represents the interquartile range and outliers that are more than or less than 1.5 times the interquartile range are represented as dots in the boxplots.


Additional file 31. List of genes co-expressed with VviERF6L clade in four out of five data series. Gene ID and corresponding annotation. The four RNA-Seq data series the genes were co-expressed with the VviERF6L clade is listed.


Additional file 1: Table A1. Univariate analysis to identify potential risk factors associated with delirium. Table A2. Comparison of clinical characteristics between delirium and non-delirium patients, stratified by the presence/absence of background hyperglycemia.


Additional file 1: Table S1. International Myeloma Working Group criteria for response assessment (IMWG consensus criteria 2016). Table S2. RECIST 1.1 (Response Evaluation Criteria in Solid Tumor). Table S3. MD Anderson (MDA) criteria. Table S4. Cases showing a significant discrepancy between imaging response and clinical response.


Additional file 3 Suppl. Fig. 1. PCA score plots on gene expression data. Each plot represents the distribution of the individuals on the 2 first axes of the PCA (representing 17,7% of the variation), colored by class of various experimental factors (Xylem and cambium scraper, extractor and extraction method, population, sequencing column, line and plate, the growth rate at harvest, sampling date, time, temperature, solar radiation, humidity and wind speed). Cofactors related to weather are pres


Additional file 1: Supplement table 1. Overall survival discrepancy between Taiwanese breast cancers with initial diagnostic and screening mammography. Supplement table 2. BI-RADS distributions for women with the first screening mammography from 2012 to 2016. Supplement table 3. Time interval between screening mammography and cancer diagnosis among women with the initial screening mammography. Supplement table 4. Time interval between successive mammography examinations before cancer diagnosis a


Additional file 1. Principal component analysis applied to the genotype data. Representation of the first (PC1) and second (PC2) components for the genotypes in the base population (red) and in the high (blue) and low (green) selection lines for environmental variance ($${\text{V}}_{\text{E}}$$VE) of litter size (LS).


Additional file 7: Figure S2. OXCT1-AS1 is significantly associated with poor prognosis in patients with recurrent GBM. (A) OXCT1-AS1 expression patterns in patients with recurrent GBM and the survival time and status from the TCGA database. (B) Kaplan-Meier curve analysis of OXCT1-AS1 based on TCGA recurrent GBM samples. (C) ROC curve of OXCT1-AS1 and poor prognosis in patients with recurrent GBM.


Additional file 5: Supplemental figure 4 (S4): A. Donuts representing the repartition of HRD score, PAM50 subtype, BRCA 1/2 mutations, Signature 3 proportion and ER status in the whole cohort (n=928). B–D. Diagrams representing the proportion of the different PAM50 subtypes among the BRCA 1/2 mutated (B), BRCA 1/2 WT HRD-high (C) and BRCA 1/2 WT HRD-low (D) populations in ER+/HER2- tumors (n = 606). *: Wilcoxon p-value < 0.05.


Additional file 1: Figure S1. Expression analysis of genes related to glutaminolysis in different molecular subtypes of GBM in our cohort. A: Heatmap of GLSiso1, GLSiso2, GLS, GLS2, GOT1, GOT2, GPT2, and GLUD1 mRNA expression levels in different molecular subtypes of GBM (PN: proneural, CS: classical, MS: mesenchymal). Upregulated values are in red and downregulated in blue. The RPKM values were normalized by z-score. B: GLS2 expression differed significantly among the subtypes (Kruskal-Wallis,


Additional file 2: Fig. S2. Human leukocyte antigen (HLA)-DR expression on monocytes during the first (D0) and second (D7) LPS challenge day. Data are displayed as mean (line) and standard error of the mean (shaded area). P values were computed using two-way repeated measures analysis of variance (time × group interaction term).


Additional file 2: Supplementary Figure 1. Calibration curve to illustrate the calibration ability of the prediction model in development and validation datasets. A) Calibration curve to illustrate the calibration ability of the prediction model in development dataset. B) Calibration curve to illustrate the calibration ability of the prediction model in validation dataset.


Additional file 2 : Figure S1. Expression of genes involved in folliculogenesis in ovary after PD-MSC transplantation. The expression of protein Nanos3, Nobox and LHC8 in ovary tissue isolated from OVX rats at 1, 2, 3 and 5 weeks after PD-MSCs transplantation were analyzed with Western blot (n=5 per group). GAPDH was used as a loading control. All experiments were performed in triplicate.


Additional file 2: Figure S2. Upregulated PABPN1 leads to more transcripts with longer 3’UTRs in BC cells. (A) The long transcript-to-total transcript ratios of indicated genes upon PABPN1 overexpression or knockdown measured by qRT-PCR. (B) 3’UTR profiles of PTCD1, AACS, ATP6AP2, PIGG, CDCA2, TMEM97, ZNF777, REPIN1, and CCND3. (C) Diagram showing vectors containing wild-type or mutant 3’UTRs of PABPN1 target genes. (D) Binding capacities of PABPN1 to wild-type or mutant 3’UTRs evaluated by RIP


Figure S2. Extraction of the metagenomic DNA in triplicates experimental. (A) First biological sample - CCN51. (B) First biological sample - Catongo. (C) Second biological sample - CCN51 and (D) Second biological sample - Catongo. (DOCX 151 kb)


Additional file 1: Figure S1. A Comparative assessment of expression of HER2 CAR according to the anti-4D5 epitope idiotype antibody recognizing HER2 directly compared to the detection of the tNGFR tag. The latter, is a preferred method for sorting and phenotyping of cells since it has no direct biological effect on T cell activation/function. B Kinetics of expression of dCas9 and Q8 by qPCR. C CAR-T manufacturing process—CD3+ T cells are negatively selected from peripheral blood monocytes and s


Additional file 1: Suppl. Figure S1. Workflow schematic of the longitudinal study. Shown is the map depicting the 9 rooms of the neurological ward in which 1547 samples were collected including 3 environmental sites and 4 patient sites over a time course of 31 weeks (Pre-opening week + 30 weeks after initial patient occupancy). The metagenetic pipelines included 16S rRNA quantification and sequencing steps, as well as Taq-Man assays for ARG-detection. Suppl. Figure S2. Correlation between physic


Additional file 5: Figure S2. Expression of InaK fusion proteins in E. coli, at 37°C and 25°C. A) SDS-PAGE of whole-cell lysates showing inaK fusion proteins, at 25°C. Lane 1: Marker, Lane 2: CsgG, Lane 3: NmBamE, Lane 4: putative lipoprotein, Lane 5: LolB, Lane 6: BamE, Lane 7: LptE, Lane 8: Pal and Lane 9: NmMtrC. FACS analysis of InaK fusion proteins in E. coli, at 37°C and 25°C . E. coli BL21DE3 (pET15b) expressing InaK fused the N. meningitidis lipoproteins: CsgG, MtrC, BamE and putative li


Additional file 2: Figure S1. Frequency of V/J gene combinations have significant differences among the three groups (P < 0.001). Figure S2. Frequency of V/J gene combinations have significant differences among the three groups (0.001 < P < 0.05). Figure S3. Heatmap of clonal overlap rate of CDR3 for samples in each group.


Additional file 1: Table S1. Description of participant-centred outcome measures and their completeness, acceptability and understanding ratings at baseline. Table S2. Baseline measures of the female participants in the ADVANCE feasibility trial (n = 27). Table S3. Outcome measures of the female participants in the ADVANCE feasibility trial (n = 27). Table S4. Estimated treatment differences for male participants at 16 weeks follow-up. Table S5. Process variables to describe progression criteria


Additional file 3: Table S1. Output of the Phylogenetic Generalized Least Square (PGLS) model for effects on fecundity, measured as SD50, of habitat, desiccation, and radiation for the seven desiccation-tolerant species (adjusted R2 = 0.21 for A and 0.94 for B). The tables report the four predictors with estimates ± standard errors, t values and p values from the PGLS models. Table S2. GenBank Accession numbers of the sequences used for the study of the phylogenetic relationships. Data for A. ri


Additional file 2: Figure S2. Mean difference in IL-4 levels between severe malaria and those with uncomplicated malaria patients according to types of severe complications. Abbreviation: CI, confidence interval; green diamond symbol, point estimate; solid line in the graph's center at 0 effect size; The dashed red line represents the pooled mean difference between the two groups; the I2 value indicates the degree of heterogeneity; and p = 0.00 or less than 0.05 indicates significant heterogenei


Additional file 2: Figure 2. OGD injury upregulates autophagy and impairs autophagosome processing in PC12 cells. a Representative Western blot of LC3 and SQSTM1/p62 protein levels in PC12 cells subjected to OGD-Rep insults. b Quantification of LC3 and SQSTM1/p62 in PC12 cell lysates. The data are expressed as means ± SEM (n = 5, one-way ANOVA. *P


Additional file 3: Figure S2. Phylogenetic tree based on CytB gene sequences of Cytauxzoon manul (▲) from Eurasian lynx, constructed with the maximum likelihood method and using the Hasegawa-Kishino-Yano model with discrete Gamma distributed with invariant sites (bootstrap replicates: 1000). The GenBank accession number, strain name, host, and area of origin were listed. Plasmodium falciparum was used as an outgroup.


Additional file 2: Supplemental Figure 2. Quality control of the tongue coating proteome. A. Batch design for the processing of tongue coating samples in the ZJC cohort and the Multi-center cohort. B. Pearson correlation analysis of technical replication samples in the ZJC cohort. C. Pearson correlation analysis of technical replication samples in Multi-center cohort. D. Pearson correlation analysis of pooled samples in the ZJC cohort. E. Pearson correlation analysis of pooled samples in Multi-c


Additional file 7: Fig. S7. Saturation indices for 197 loci shown as density plots. (a) Slopes of the linear regression between patristic and uncorrected pairwise distances. (b) R2 of the linear regression between patristic and uncorrected pairwise distances. The vertical and dashed lines indicate starting shoulder value. Loci that may be saturated are colored in red; the numbers of saturated loci are indicated aside.


Additional file 25. PC1 values grouped by income level. Two-tailed t-test p-values are provided for each plot. Income levels are based on self-reported total monthly family income per capita. In Singapore, income levels are classified as follows: low (< SGD 2000), moderate (SGD 2000–3999), high (SGD 4000–5999), and very high (> SGD 6000). In Malaysia, the classifications are low (< RM 3000), middle (RM 3000–5999), high (RM 6000–12,999), and very high (> RM 13,000). Each plot displays


Additional file 7: Figure S7. LIF is mainly secreted by CAFs. (A) LIF mRNA expression levels in CAFs and Panc-1 and MiaPaCa-2 cells. (B) western blot analysis of LIF and CAV1 in CAFs and Panc-1 and MiaPaCa-2 cells. (C) ELISA of LIF in CAFs and Panc-1 and MiaPaCa-2 cells. (D) Representative images of LIF, CK19, and α-SMA immunostaining in human PDAC specimens. Scale bar, 100μm. (E) Representative images of CAV1, CK19, and α-SMA immunostaining in human PDAC specimens. Scale bar, 100 μm.


Additional file 1: Figure S1. DNA sequence of SPLCV-1.01. Figure S2. Infection rate and symptoms of N. benthamiana infected with different SPLCV infectious clones. Figure S3. PCR detection of SPLCV DNA in sweetpotato leaves inoculated by agroinoculation. Figure S4. Preparation and recipe of buffers and media. Figure S5. The sweetpotato cuttings used for “Agro-soaking” methods. Figure S6. Schematic timeline of the “Agro-injection” and “Agro-soaking” methods. Figure S7. DNA sequence of SBG51-MCS.


Supplementary Material 1. Supplementary Table 1: Characteristics of the study population (n=1,660,993), comparing patients who did or did not develop postoperative UTI, excluding those with multiple surgeries during the index admission Supplementary Table 2: Relative odds (and 95% confidence interval) for postoperative UTI (n=1,660,993) excluding those with multiple surgeries during the index admission


Supplementary Material 7: Table S3. Statistical comparisons of alpha diversity and genus- and species-level relative abundances for the PROMISE cohort, comparing the maternal ART arm to the no ART arm.


Figure S3. In silico correlation analysis between methylation and expression level of specific PCDHGs in TCGA-COADREAD. Correlation analysis between the altered CGIs, localized in the promoter region of PCDHGB3, PCDHGC3 and PCDHGC4, using the TCGA-COADREAD dataset. CpG 16, 95 and 22 correspond to UCSC CGI names. (TIFF 940 kb)


Additional file 1: Supplementary Figure 1. The average DSI comparison of cultivars from all nurseries. Supplementary Figure 2. The distribution of DSI of all cultivars between two repeats. Supplementary Figure 3. The distribution of susceptibility ranks from all cultivars between two repeats. Supplementary Figure 4. The partial PAGE image reveals the banding pattern of SSR markers. Supplementary Figure 5. The flow chart of how the SSR analysis data were transformed into binomial matrix data. Sup


Additional file 1: Supplementary Figure S1. Generation and identification of DVF. (A) The recombinant plasmids were digested by MluI and XhoI and analyzed on an agarose gel. (B) Purified DVF was eluted with imidazole and the eluates were probed on western blots.


Figure S2. Distribution of functional classes of protein encoding genes within the RI Norway genome. (A) Functional class distribution across the six RI Norway replicons. (B) Comparison of the relative occurrence of functionally classified protein encoding genes between the RI Norway and Rlv 3841 genomes. Functional annotation (COG) was performed on WebMGA server [1]. (TIF 10046 kb)


Supplementary material for the paper "Recognition of Sunflower Growth Period Based on Deep Learning from UAV Remote Sensing Images". This dataset includes some core codes of the paper and remote sensing images for the study area.


Supplementary Figure 5 and description- CD007337 for Cochrane Review Intraperitoneal local anaesthetic instillation versus no intraperitoneal local anaesthetic instillation for laparoscopic cholecystectomy.


Additional file 1: Fig. S1. Synergy experiments between NCT-503 and BTZ in HMCLs. CTG was used to assess the synergic effect. HMCLs were treated with 1/3 of their corresponding IC50 of either CBR5884 or NCT-503, in combination with either carfilzomib or bortezomib. A) INA6, KJON1, and IH1. B) OH2, ANBL6, and U266. C) JJN3 and RPMI. The graphs represent three independent experiments with minimum two replicates. Error bars are ± SEM.


Additional file 1: Figure S1. A simplified anthocyanin biosynthetic pathway in Antirrhinum. AmPAL, phenylalanine ammonia lyase; AmCHS, chalcone synthase; AmCHI, chalcone isomerase; AmF3H, flavanone-3-hydroxylase; AmF3′H, flavonoid-3′-hydroxylase; AmDFR, dihydroflavonol 4-reductase; AmANS, anthocyanidin synthase.


Additional file 1: Figure S1. Manhattan plots of the variance of the local GEBV within 250-kb regions for kg milk. Figure S2. Manhattan plots of the variance of the local GEBV within 250-kb regions for kg fat. Figure S3. Manhattan plots of the variance of the local GEBV within 250-kb regions for kg protein. Figure S4. Manhattan plots of the variance of the local GEBV within 250-kb regions for protein percentage.


Additional file 1: is available in .pdf format. The table lists originally proposed study outcomes (developed by academic investigators) and the final study outcomes that were included in the study based on community input with justification for changes.


Additional file 1: Table S1. Definitions of environmental variables (exposures), data sources and spatial resolution. Table S1. Outline of regression analyses. Table S2. Models 1M: Direct effect of neighbourhood residential density [exposure] on street intersection density, public transport density and density of four destination types [mediators 1]. Table S3. Model 2aM: Direct effects of neighbourhood residential density and mediators 1 on park area [mediator 2]. Table S4. Model 2bM: Direct eff


Additional file 3: Figure S1. STOML2 expression is upregulated in HCC tissues and predicts a poor prognosis. (A) The mRNA expression level of STOML2 in HCC tissues (T, n=369) compared with the normal liver tissues (N, n=50) by the GEPIA database. (B-C) Patients with high STOML2 expression have poorer overall survival and disease free survival compared with patients with low STOML2 expression based on the RNA sequencing expression data (group cutoff in 28%/72%) from the TCGA project. *P<0.05.


Additional file 1: Figure S1. Daily average temperature of bunch zone in the berry development period (A) and mean hourly temperature on August 5th of 2012 (B). The data in the right figure refers to that day indicated by a blue vertical line in the left figure. Photosynthetically active radiation (C), solar radiation (D) and relative humidity (E) of bunch zone in the sunlight-exposed and control grapevines during berry development. Light red background represents the period from E-L 35 to E-L 3


Additional file 18: Fig. S18. Histological characteristics of the leaves of the mock and infected resistant and susceptible cultivars at the tillering stage (Z21) under transmission electron microscopy. (a) Mesophyll cell structure of the mock resistant cultivar. (b) Mesophyll cell structure of the infected resistant cultivar. (c) Mesophyll cell structure of the mock susceptible cultivar. (d) Mesophyll cell structure of the infected susceptible cultivar. (e) Nucleus of the mock resistant cultiva


Additional file 4. SSN of only TOLL 1 genes (from Additional file 3). Each node represents proteins sharing 100% sequence similarity. The network was created using an alignment score cut-off of 20 and, in Cytoscape, an identity value of 50% was also used as threshold and edges with lower values were deleted. The nodes are colored based on taxonomic groups (see legend). and edges represent an alignment score cut-off of 20 between proteins. Protein names within the figure depict Drosophila melanog


Additional file 1: Figure S1. Study flowchart. Figure S2. Receiver operating characteristics curves and grey zone analyses. Figure S3. The precision–recall curves for changes in VTI, PP, SBP and DBP induced by Trendelenburg maneuver.


Additional file 1. Supplementary analyses at the global scale. Fig. S1. Baseline amyloid load for each participant in regional SUVRs and in target (implant) region (ROI1). All participants had a positive amyloid load in the region targeted by the sonication except for Patient 10 (threshold of 1.1 assumed for amyloid positivity). Fig. S2. Violin plots representing the distribution of the annualized percent changes (APC) in PET uptake for the current study ("BOREAL", n=9) and reference cohort ("AD


Additional file 9: Figure S2. Heatmaps for 398 risk-related genes and 64 LASSO screened genes. Unsupervised heatmaps for 398 risk-related genes (A) and 64 LASSO screened genes (B); Unsupervised heatmaps where smoking related residual values were removed in the gene expression matrix for 398 risk-related genes (C) and 64 LASSO screened genes (D). OR, Odds Ratio; LASSO, least absolute shrinkage and selection operator


Additional file 4: Figure S2. Significance of modified corrected Pearson correlation coefficients,, as calculated by BigSur versus the Fisher formula, binned by gene expression. scRNAseq data were as described in Fig. 3. Data points representing pairs of genes were divided into 21 bins based on the mean expression levels of each gene, and the results for each bin were plotted as in Fig. S1. The inset compares the PCC′-p value relationship determined by BigSurwith that predicted by the Fisher for


Additional file 10 Transposon-like sequences in PRF1 loci of Danio rerio and Oryzias latipes. PRF1 genes are depicted to scale with intron/exon boundaries (blue boxes). Pseudogenes are depicted in pink. Transposon-like sequences are shown as black boxes.


Additional file 4: Fig. S4. UPDRSIII score pre- versus post-transplantation in the ‘off’ state at 48-month follow-up. Two studies are included. Fixed-effect model is used. The sizes of squares represent the weight that each study contributes. The diamond at the bottom represents the overall effect. CI = confidence interval (represented by the lines).


Figure S3. Overexpression of TFAP2C is associated with poor chemotherapy response. (A and B) TFAP2C expression levels were much higher in CRC patients with poor chemotherapy response as assessed by analyzing the TCGA and GSE28702 CRC RNA sequencing datasets. (C) Percentages and number of samples showed high or low TFAP2C expression in CRC patients with different chemotherapy response in our CRC tissues. (D) Apoptotic ratio of CRC cells under treatment of 5-FU (20Îźm). (E and F) The correlation o


Figure S6. Abundance trajectories of glycopeptide, macrolide-lincosamide-streptogramin, nitroimidazole and phenicol antibiotic resistance gene classes. Abundance heatmaps of the glycopeptide antibiotic resistance gene (ARG) class are displayed in (A), of the macrolide-lincosamide-streptogramin (MLS) ARG class in (B), of the nitroimidazole ARG class in (C), and of phenicol ARG class in (D). Abundances are expressed as square root transformed length corrected relative abundances (LCRA, see patient


Figure S2. Composite picture of a DGGE gel containing all four groups of larvae. Bands excised and sequenced are indicated by a red rectangle. The corresponding species identified are indicated in the table. (PDF 242 kb)


Additional file 2: Figure S1. Scatter plots demonstrating the correlation between regional ECV and CVF in the A) septum (rho = − 0.05, P = 0.683), B) anterior wall (rho = − 0.02, P = 0.886) and C) posterior wall (rho = 0.22, P = 0.150) of the left ventricle.


Figure S4. miR-296-5p suppresses in vivo metastasis through NRG1. (a) Hematoxylin and eosin (H&E) staining of metastatic liver nodules (left) and the percentage of mice with or without metastatic nodules in the livers (right). (b) Representative pictures for lung metastasis (left) and the percentage of mice with or without metastatic nodules in the lungs (right). magnification × 100 (left); 400× (right). Figure S5. miR-296-5p mediates HCC cell metastasis through MAPK signaling. (a and b) The


Supplementary video: Imaging data from the MANTIS diagnostic in the Snowflake Minus (SF-) configuration (#70424). This is an experimental repeat of the SF- configuration presented in the manuscript (#70321, #70497).


Supplementary files related to the data article "Proteome analysis dataset of Post-Translational Modifications in MSP1-overexpressed rice" G.H. Lee,C.W. Min, J.W. Jang, G. Ravi, S.T. Kim. Data in Brief (2022). This article reporting Post-Translational Modifications induced by MSP1 in rice. This data complements the original research article published in Journal of Proteomics: G.H. Lee, C.W. Min, J.W. Jang, Y. Wang, J.-S. Jeon, R. Gupta, Kim, S.T. Kim, Analysis of Post-Translational Modification


Additional file 4: Figure S4. Multivariate Cox Proportional Hazard Regression Was Used to Estimate the 30-Day Mortality Risk in the Subgroup Without CRBSI in a Propensity Score-Matched Cohort. Abbreviations: APACHE, Acute Physiology and Chronic Health Evaluation; SOFA, Sequential Organ Failure Assessment.


Additional file 4: Fig. S2. Association of relapse- and susceptibility-linked SNP genotypes with sensitivities to VCR (a), CY (Maf) (b), and AraC (c) in 56 BCP-ALL cell lines excluding 14 BCR/ABL1-positive and 2 BCR/ABL1-like ALL cell lines. Vertical axis indicates log-scaled IC50 values of VCR (a), CY (Maf) (b), and AraC (c). The IC50 values of cell lines with homozygous genotype of risk allele and those with heterozygous or homozygous genotypes of non-risk allele in each SNP were compared. P-v


Additional file 1: Supplementary Table 1. Proportion of food product pages displaying mandatory labels and Health Star Ratings in total, by private label and by branded products, for two online supermarkets in Australia, 2022. NIP = nutrition information panel, HSR = Health Star Rating.


Additional file 1: Table S1. COVID-19 vaccine priority groups. Figure S1. Schematic diagram of vaccinating 70% of target populations by Tiers. Table S2. Characteristics of systematic reviews for persons at high risk of severe outcome of COVID-19. Table S3. Age distribution of COVID-19 cases. Table S4. Data used to estimate the COVID-19 incidence rate. Figure S2. Pooled incidence of COVID-19 cases, stratified by age. Figure S3. Sensitivity analyses on days needed to vaccinate 90% of the target po


Additional file 1: Table S1. Primer Sequences used for RT-qPCR. Table S2. Serum parameters of mice in FMT experiment. Table S3. All Significant Pathways in GSEA of KEGG Pathways. Figure S1. Schematic workflow of the 6-month study design. Figure S2. The growth status of the fecal microbiota after the antibiotic interventionand one week after transplantation. Figure S3. Altered microbiota and Firmicutes/Bacteroides ratio, coabundance network, fecal metabolite profilesand microbiota functionafter 6


Supplementary Material 1: Supplementary Table 1 provides detailed sampling information including twin pair id, sampling coordinates, habitat type, host plant identity (vascular plant or moss), and taxonomic classification.


Figure S4. Comparison of plasmid sequence p486–16 with other IncK2 plasmids created with EasyFig v.2.2.2 ( http://mjsull.github.io/Easyfig/ ). Used reference plasmid sequence were pTMSA1088 (Genbank: KR905386.1), pDV45 (KR905384.1). (PDF 38 kb)


Additional file 2: Supplementary Fig. S1. Comparison of plasma ozoralizumab concentrations in patients with seropositive and seronegative RA. Plasma concentration–time profiles from the first dose to 4 weeks (A, B) and trough concentrations throughout 52 weeks (C, D) with methotrexate are shown. Seropositive RA indicates an anti–cyclic citrullinated peptide antibody level ≥ 4.5 U/mL and/or rheumatoid factor level > 15 IU/mL. RA rheumatoid arthritis, SD standard deviation.


Additional file 1: Figure S1. AML12 cells were treated with 5 μM Cd for 3 (A)or 6(B) h. One group of CFDA-SE prestained cells was co-cultured with another population of Mito tracker-Red prestained cells for Flow cytometry to detect intercellular mitochondrial transfer efficiency. Figure S2. AML12 cells were treated with Cytd and Cd are processed separately or in combination for 6h, Confocal microscopy was used to observe colocalization of phalloidin and Tubulin-tracker-Red (A). Scale bar = 25 μm


Additional file 1. A comprehensive list of scientific articles related to Mediterranean tsunamis indexed in Web of Science, which were utilized in the scientometric study of tsunamis in the Mediterranean.


Supplementary data, notes, figures and tables related to this study. Supplementary Data 1 contains a list of all analysed samples and their locations and descriptions, Supplementary Data 2 contains (detrital) garnet Lu-Hf isotopic data, Supplementary Data 3 contains detrital zircon U-Pb data and Supplementary Data 4 contains major element compositions for the analysed (detrital) garnets. The Supplementary Information file includes Supplementary Note 1, Supplementary Table 1 and all Supplementary


Additional file 1: Fig. S1. The relationship of PD-L1 and HIF-1α mRNA expression in glioma samples from the Chinese Glioma Genome Atlas (CGGA) dataset. a. The relationship of PD-L1expression and different clinical factors, including grade, IDH-1mutant, MGMT methylated status and 1p19q deletion status. b. The relationship of HIF-1α expression and different clinical factors, including grade, IDH-1mutant, MGMT methylated status and 1p19q deletion status. c. Correlation analysis of PD-L1 and HIF-1α


Additional file 7: Figure S5. CM from NE-treated LX-2shRNA sFRP1 cells showed an attenuated promotion of malignant phenotypes of HCC cells in vitro. (A) LX-2 cells transfected with a sFRP1-shRNA lentivirus or a scramble-shRNA lentivirus. The efficiency of sFRP1 knockdown was examined in LX-2shRNA sFRP1 and LX-2shRNA NC cells. (B, C) Compared with CM from NE-treated LX-2shRNA NC, CM from NE-treated LX-2shRNA sFRP1 showed a significant decrease of invasion and migration of HCC cells in vitro, as m


Additional file 5. Strategies for artificial truncation of Mhp390. (A) The secondary structure predicted through Phyre2. (B) Strategies for artificial truncation of rMhp390 protein. Based on the indicated truncation sites, the Mhp390 protein was artificially divided into three segments.


Additional file 1: Supplemental Figure 1. Viral Prescription Pad The viral prescription pad was designed to fill half an A4-sized sheet. The first version created was for adult patients and was made available in printed pads, online as a fillable PDF via the ASP website, and it was integrated into the electronic medical record of some PHC clinics. The key informational components are: affirmation of a viral infection and indication of the likely length of symptoms, a brief statement about the la


Figure S1. Distribution of duplications of AQP genes in G. raimondii, A. thaliana and O. sativa. The outer ring represented chromosomes with different colors in different species and the inner links represented intra- and inter-genomic duplications among these three species. At: A. thaliana; Os: O. sativa; Gr: G. raimondii. (TIFF 370 kb)


Additional file 1: Figure S1. Target site duplications (TSDs). Figure S2. Sequence alignment of UCON3 domains of SINEs. Figure S3. Sequence alignment of tRNA-derived head regions of hagfish SINEs. Figure S4. Sequence alignments of body domains of hagfish SINEs. Figure S5. Sequence alignments of tails of hagfish SINEs. Figure S6. Age distribution of hagfish SINE families.


Supplementary appendix for a quality improvement study investigating adrenal insufficiency in Alberta, Canada. This appendix provide details on database descriptions and medication/ATC codes used for this study.


Additional file 1: Figure s1. Infrared spectroscopy of the sediments revealed the crystal as cystine (observed spectrum of the stone material matched the cystine spectrum in a reference library) . An automatic infrared spectrum analysis system, LIIR-20 (approved by the Chinese FDA), was used in this study. T%, absorption frequency; WN, wavenumber. Table s1. Biochemical features of the patient with cystinuria (First time). Table s2. The pathogenicity classification of the SLC3A1 variants. Table s


Supplementary data for Jesus at al. 2025. DOI: pendingAbstract. Obesity is associated with the development of several illnesses, such as diabetes mellitus, cancer, and cardiovascular diseases. Elucidating the mechanisms of body weight control is important for the development of effective therapeutic strategies against obesity. In response to the action of hormones such as leptin and 17β-estradiol (E2), the ventromedial hypothalamus (VMH) plays an essential role in protection against diet-induced


Additional file 3: Simulation output summary data. Table containing the metric values calculated for both all the cells in a simulation and for each realm described by Spalding, Fox [93]. This contains metrics from all simulations.


Figure S5. The efficiency of LAMP1 downregulation and upregulation is detected by western blot and qRT-PCR. a-b The efficiency of LAMP1 downregulation and upregulation was detected by western blotting. c-d The efficiency of LAMP1 downregulation and upregulation was detected by qRT-PCR. e The expression of LAMP2 in CFPAC-1 and BxPC-3 of different groups (Vector, LV-UBL4A-Flag, shCtrl, LV-shUBL4A) were analyzed by western blotting. The statistical significance between different groups was calculat


Additional file 1: Table S1. List of investigators and participating centers of the Grand Drug-Eluting Stent registry. Table S2. Comparison of baseline characteristics between DM and non-DM population. Table S3. Subgroup analysis for the risk of patient-oriented composite outcome after complete revascularization compared to incomplete revascularization in the DM population. Table S4. Subgroup analysis for the risk of target lesion failure after complete revascularization compared to incomplete r


Figure S1. PTEN protein abundance of breast cancer cell lines. (A) Western blots showing PTEN and actin (loading control) abundance in 19 breast cancer cell lines. (B) Scatter plot of RPPA-measured PTEN abundance reported by Marcotte et al. [17] versus PTEN abundance that we quantified through densitometric analysis of western blot bands in (A). Cell lines were categorized as PTEN-expressing (in black) or PTEN-deficient (in red) based on PTEN protein abundance. (PNG 201 kb)


Supplementary Figure 2. The intraclass correlation coefficient (ICC) for intra-test reliability (in-clinic vs. at-home testing) identified reliable features from the Postural Sway and Pronator Drift tests. A) 2 of the 9 in-clinic reliable Postural Sway features (digital biomarkers) exhibited moderate reliability across testing conditions (ICC at least .5). B) 3 of the 5 in-clinic reliable Pronator Drift test features had moderate (ICC at least .5) to good (ICC at least .75) reliability.


Supplementary materialsFigure S1 showed the effect sizes of emulsifier type and dietary fat source on the lipid profile. Figure S2 displayed the correlation between dietary fat levels and energy differences compared with the basal diet, categorized by fat percentage and energy status.


Supplementary datasets accompanying the manuscript "ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds" published in the Metabolic Engineering Journal (https://doi.org/10.1016/j.ymben.2022.03.013). In line with the standards of open science, the ARBRE toolbox is freely available to the scientific community on gitHub (https://github.com/EPFL-LCSB/ARBRE) and we also provide the web-version at http://lcsb-databases.epfl.ch/arbre/ ARBRE: Aromatic comp


Figure S1. Mig-seq primers used in the current study. Dataset S1. SNP data in .vcf format for Lonicera japonica. Figure S2: STRUCTURE analyses. Left: Delta K plot showing the optional number of ancestral population clusters (based on Evanno et al. 2015 method). Right: Ancestry plots from analysis with ParallelStructure for k = 3 (above) and k = 5 (below). Colors correspond to each ancestral cluster.


Supplementary tables Supplementary table S3. Movement rate test-retest outcomes Supplementary table S4. Relative EEG power test-retest outcomes Supplementary table S5. Normalized EEG power test-retest outcomes Supplementary table S6. EMG test-retest outcomes Supplementary table S7. Corticomuscular coherence test-retest outcomes


Additional file 1: Table S1: Sample demographic information for the discovery and replication samples and the individual APOE genotype groups within the discovery sample. Table S2. Differentially methylated positions (DMPs) showing replicated association with APOE ε4 vs. ε2 carrier status and sensitivity analyses results. Table S3. Pairwise comparison of DNA methylation levels between APOE genotypes for each of the 20 CpGs identified as being a DMP in the meta-analysis of the discovery and repli


Additional file 1. Metadata of the samples included in the present study. The composition of the feedstocks used in the different reactors was approximated using substrate information from various sources. When available, such data was taken from the publicly accessible description of the respective experiments or full-scale plant operation datasets. Otherwise, reactor feedstocks were estimated by a proportionality-based mixing technique: taking the characteristics of their individual constituen


Supplementary material S2. Data for each region (AP, Antarctic Peninsula; EA, East Antarctica; WED, Weddell Sea; SAI, sub-Antarctic islands) including number of individuals per station, the haplotype number (Hap) related to the network (Fig. 3) and number of individuals per haplotype (N/Hap) for each sampling site.


Additional file 6: Table S1. Riboprobe sequence information. The first column (A) designates the species for which each riboprobe was designed. The second column (B) shows the gene symbol corresponding to each riboprobe. The third column (C) is the NCBI or Ensembl accession number representing the closest deposited sequence to the riboprobe template used. The fourth column (D) shows the original publication, if any, where the riboprobe activity was previously documented. The fifth column (E) con


Additional file 1: Supplementary Table 1. One-to-one orthologous relationships between Medicago sativa L. and other three plant species. Supplementary Table 2. The FPKM value of MsZF-HD genes under different abiotic treatment.


Additional file 1. Number of Anopheles specimens collected indoor and outdoor using HDN and LT in village and farm and forest sites in Ia DReh commune, Krong Pa district, and in Ia KDam commune, Ia Pa district, Gia Lai Province, Vietnam.


Supplementary Table 1. Frequency distribution of selected characteristics in the cases and controls.
 HSCR, Hirschsprung disease; SHSCR, short-segment Hirschsprung disease; LHSCR, long-segment Hirschsprung disease, TCA, total colonic aganglionosis Supplementary Table 2. The subclinical information in NB patients collected for the subjects
 SD, standard deviation; NA, not available.
 a Two-sided c2test for distributions between neuroblastoma cases and cancer-free controls.


Additional file 8: Table S6. Details of takeout genes. Columns are: Gene – the gene and protein name we are assigning; VectorBase code – the official gene number in the RproC3 genome assembly, prefix is RPRC; Scaffold – the RproC3 genome assembly supercontig ID; AAs – number of encoded amino acids in the protein; Comments – comments on the OGS gene model and repairs to be performed on the genome assembly (available on VectorBase) based on BLAST searches against de novo antennal transcriptome ass


Additional file 5: Appendix Figure 1. Changes in HUI attribute levels from baseline to week 48 among patients with (A) a decline in HUI utility of at least 0.1, (B) an improvement in HUI utility of at least 0.1, (C) a decline in HUI utility of at least 0.03, and (D) an improvement in HUI utility of at least 0.03, between baseline and week 48.


Figure S2. Stt4 PIK patches localize to ER-PM contact sites and contribute to heat stress-induced PI4P signaling. (a) The Stt4 PI4K generates PI4P at the PM. Wild type cells (upper panel) and temperature conditional stt4-4 cells (lower panel) expressing the PI4P reporter GFP-P4C grown at 26 °C and after heat shock at 42 °C. Arrows point to GFP-P4C localization at the PM of mother cells at 42 °C. Scale bars, 5 μm. (b) Schematic representation of the method used to measure PM GFP-P4C fluorescence


Additional file 38. Cleavage 6 of of 2d2-cell at 3 h 30 min post fertilization. Movie file (*.avi). Fixed specimen stained with DAPI. Image stack from animal to vegetal pole (specimen is slightly tilted due to the size differences between macromeres) recorded with DIC and DAPI channel (blue).


Additional file 6: Figure S2. The growth curve of SS2 wild-type strain HA9801, mutant strain ΔluxS, complemented strain CΔluxS and overexpression strain luxS+ at 37 °C. Growth was assessed by determination of OD600nm values at the time points indicated. Each time point represents three independent tests.


Additional file 11: Figure S1. Inactivating BCL11B in human T cells by CRISPR/Cas9. Figure S2. ITNKs are derived from CD4+ and CD8+ T cells. Figure S3. ITNKs are derived from different T cell subsets. Figure S4. Immunophenotypic characteristics of ITNKs using CyTOF. Figure S5. Evaluating antitumor effects of ITNKs. Figure S6. Evaluating antitumor effects of CAR-ITNK cells. Figure S7. Evaluating kinetics and safety of clinical-grade ITNKs. Figure S8. Clinical trial protocol schematic. Figure S9.


Additional file 1: Fig. S1. The schematic illustration of synthesis of Zn0.3Fe2.7O4 NCs. Fig. S2. Effects of NCs on BGC-823 cells growth. NCs were added into the culture medium and cells were observed by inverted microscope (40×) after co-culturing for 48 h. (A) Control group; (B) NCs (300 μg/mL) group exhibited significant growth inhibition of BGC-823 cells. Fig. S3. Prussian blue staining of NPs and NCs. NPs and NCs were incubated with Prussian blue for 12h, then washed and observed. NPs/NCs i


Additional file 9. Summary of D. caulivora genes encoding predicted secreted proteins and effector candidates with functionally characterized homologs in Pathogen-Host Interaction database (PHI-base).


Additional file 1: Figure S1. Missingness patterns in predictor variables for regression model. Table S1. Rhat values for imputed variables that were missing data in original dataset. Table S2. Parameter estimates from pooled generalized linear regression model.


Additional file 2: Figure S1. Local genetic correlation between childhood BMI, WHR, WHRadjBMI and PCOS. Figure S2. GTEx tissue enrichment analysis. Figure S3. Cell-type specific enrichment analysis. Figure S4. Box plot of betas in leave-one-out analysis. Figure S5. MR-clust analysis.


Additional file 10: Figure S7. Genes Affecting H2O2 Resistance may act in Common Pathways Several candidate genes, pathways or processes identified in this study (boxed) are known to regulate feeding and/or glycogen metabolism in response to cues from the nutrient environment. This figure was generated using information from the literature and we attempt to draw parsimonious connections without including many of the possible intermediate genes or signaling events involved. Genes or arrows shown


Additional file 2: Figure S2. SV counts across inter-sample merges by SVTypes for GRCh38 and chm13. As matching thresholds become more lenient, more heterozygous alleles find a counterpart and become homozygous, thus lowering the SV count. We see a steeper decrease in INS counts than DELs, particularly for GRCh38.


Figure S5. Detection of miRNA-21 in HCC cells and HCC cell-derived exosomes treated HSCs. qPCR array demonstrated the high expression of miRNA-21 in HCC cell lines and increased expression of HSCs treated with HCC cell-derived exosomes. (TIF 1120 kb)


Additional file 1. Characteristics of missing outcomes. A word document containing a table with the mean values for each baseline survey question for those who completed each outcome survey vs those who did not (missing women).


Additional file 1. List of medicinal plants, habits, part used, condition and ways of preparation, routes of administration, ailment treated and collection number in Asagirt District (CP = Condition of preparation, MA = Method of application, RA = Routes of administration, H = Home garden, W = Wild, F = Fresh, D = Dried, H/L = Human or Livestock, HU = Human, Li = Livestock Fu = Furniture, Fr = Forage, Fo = Food, Sp = Spice, Co = Construction, Or = Ornamental, Fe = Fuel, Si = Soil fertility, So =


Additional file 3: Table S1. Identification of COI1 genes in different plants. Table S2. Conserved amino acid residues of COI1 proteins among different groups. Table S3. Characterization of SbCOI1, ShCOI1, and SsCOI1 genes. Table S4. Secondary structure analysis of SbCOI1, ShCOI1, and SsCOI1 proteins. Table S5. Percentage of identity between 7 SbCOI1s, 6 ShCOI1s, and 21 SsCOI1s was calculated using DNAMAN software. Table S6. Ten conserved motifs predicted in the COI1 proteins. Table S7. The gene


Figure S3. mRNA expression of top 5 DEGs in the bladder of healthy dogs and dogs with iUC. TBP was used as an internal control. Open and closed circles represent healthy dogs and dogs with iUC, respectively. *P


Additional file 4. Additional results of the study participants’ characteristics and laboratory data summary tables with statistical analyses. The file contains tables of the basic characteristics of vaccinated participants, those of COVID-19 patients, COVID-19-related characteristics, and laboratory data of admission patients whose blood samples were collected for the clinical laboratory tests and the IIP on the same day. The additional logistic regression analysis result table for the associat


Figure S2. Cycles of quantification (Cq) of genes of the C4 pathway for the tolerant (RB92579) and susceptible (SP80–3280) sugarcane plants under the different water deficit regimes (12 replicates). The Boxplot chart shows the median values as rows in the box. The lower and upper boxes indicate quartiles 1 and 3, respectively. The bars represent the upper and lower limits. (PDF 242 kb)


Supplementary Material for CPA realizing based on phase matching, verification based on simulation software "High-Frequency Simulator Structure", analysis of phase difference, detailed truth table for register function, and clock signal definition.


Hans Olsson,1,2 Agneta Jansson,3 Birgitta Holmlund,3 Cecilia Gunnarsson2,4 1Molecular and Immunological Pathology, Department of Clinical and Experimental Medicine, Faculty of Health Sciences, Link&amp;ouml;ping University, Link&amp;ouml;ping, Sweden; 2Department of Clinical Pathology and Clinical Genetics, &amp;Ouml;sterg&amp;ouml;tland County Council, Link&amp;ouml;ping, Sweden; 3Division of Oncology, Department of Clinical and Experimental Medicine, Faculty of Health Scien


On Sunday, 16 August, the Music Department of the University of Stellenbosch hosted a seminar in honour of Kevin Volans's sixtieth birthday. Christine Lucia, who chaired the sessions, opened the seminar with some insightful biographical information about the composer. Jill Richards spoke from a performer's perspective about her working relationship with Volans. Jean-Pierre de la Porte investigated the notion of pictorialism that is generally associated with Volans's works. And Theo Herbst and Ma


In April, 2015 Nagoya University of Foreign Studies (NUFS) in Japan launched a new graduate program: ‘Master of Arts in Public Interest Interpreting and Translation’ (修士公益通???, Sh?shi K?eki Ts?yaku Hon’yaku). The program aims at fostering interpreters-translators, who would engage in work in the judiciary, public administration, healthcare, education, disaster management and other public interest-related settings. Even though this genre of interpreting and translation (especially in legal and he


In February, 1984, testing of archaeological Site 41CK178 was undertaken by the State Department of Highways and Public Transportation (SDHPT) to determine eligibility for inclusion within the National Register of Historic Places. The site is located in Coke County on State Highway 208 on a shallow terrace of Yellow Wolf Creek, a tributary to the Colorado River. The site contains numerous features and cultural material of undetermined affiliations.


Pharmacognosy Magazine,2018,14,56,283-289.DOI:10.4103/pm.pm_354_17Published:August 2018Type:Original ArticleAuthors:Ping-An Yao, Rong Wu, Yao-Li Zhang, Xiao-Hua Cui, Ke-Zhao Wei, Xu Xu, and Jian-Ping Gao Author(s) affiliations:Ping-An Yao1, Rong Wu1, Yao-Li Zhang2, Xiao-Hua Cui1, Ke-Zhao Wei1, Xu Xu2, Jian-Ping Gao1 1 Department of Pharmacology, School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China 2 Department of Chemistry, School of Chemical and Environmental


Siti Rahmah,2018.Past Tense and Present Tense/Future Tense Verbs in the Qur'an (Grammar Research on Surah An-Nisa').Thesis.Post-Graduate Program of Arabic Education Program of Antasari State Islamic UniversityBanjarmasin. Advisors:(I) Prof.Dr.H.A.Fahmy Arief,MA., and (II) Dr.H. Faisal Mubarak Seff,Lc.,MA.
Keywords:Past Tense, Present Tense/Future Tense, Grammar Research.
Arabic is the language of the Qur'an. Learn Arabic is very important thing to understand Allah's Word. Therefore, We need to l


Huan Yang,1,* Rui Cai,1,* Yangheng Zhang,2,* Yongyan Chen,1 Bing Gu1,3 1Xuzhou Key Laboratory of Laboratory Diagnostics, School of Medical Technology, Xuzhou Medical University, Xuzhou 221004, People&amp;rsquo;s Republic of China; 2Department of Periodontology, Nanjing Stomatological Hospital of Nanjing University School of Medicine, Nanjing 210008, People&amp;rsquo;s Republic of China; 3Department of Laboratory Medicine, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221006, P


Persuasive Communication, 2d ed., by James B. Stiff and Paul A. Mongeau. New York and London: The Guilford Press, 2002. 348 pp. $42 pbk. Collective Behavior and Public Opinion: Rapid Shifts in Opinion and Communication, by Jaap van Ginneken. The European Institute for Media Studies. Mahway, NJ, and London: Lawrence Erlbaum Associates, 2003.301 pp. $69.95 hbk. The Dynamics of Persuasion: Communication and Attitudes in the 21st Century, 2d ed. Richard M. Perloff. Mahwah, NJ, and London: Lawrence E


Yukiko Nagahara,1 Shizuka Koh,1 Kohji Nishida,1 Hitoshi Watanabe1,2 1Department of Ophthalmology, Osaka University Graduate School of Medicine, Suita, Osaka, 2Kansai Rosai Hospital, Amagasaki, Hyogo, Japan Purpose: This study aimed to evaluate the increase in tear meniscus height (TMH) induced by 3% diquafosol ophthalmic solution in eyes with contact lens (CL).Methods: Ten healthy subjects wearing high-water-content CLs received topical instillation of two ophthalmic solutions – 3% di


Ana Cravo,1 Darush Attar,2 Daryl Freeman,3 Steve Holmes,4 Lindsay Ip,5 Sally J Singh6,7 1Medical Affairs, Boehringer Ingelheim Ltd, Bracknell, UK; 2North Central London Clinical Commissioning Group (CCG), London, UK; 3Norfolk Community Health & Care, Norwich, UK; 4The Park Medical Practice, Shepton Mallet, UK; 5King’s Health Partners and Ealing Community Partners, London, UK; 6Faculty of Health and Life Sciences, Coventry University, Coventry, UK; 7Department of Respiratory Sciences, University


Yang Yang,1,2 Shaoqiong Xie,1 Wencheng Jiang,1 Suwei Tang,1,2 Yuling Shi1,2 1Department of Dermatology, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, 200443, People’s Republic of China; 2Institute of Psoriasis, School of Medicine, Tongji University, Shanghai, 200092, People’s Republic of ChinaCorrespondence: Yuling Shi; Suwei Tang, Department of Dermatology, Shanghai Skin Disease Hospital, Tongji University School of Medicine, 1278 Baode Road, Jing-an District,


Bowei Chen,1,* Xiaohong Liu,1,* Yunan Li,1 Tianhe Shan,1 Liya Bai,1 Chunyu Li,2 Yinsong Wang1 1School of Pharmacy, Tianjin Key Laboratory on Technologies Enabling Development of Clinical Therapeutics and Diagnostics (Theranostics), Tianjin Medical University, Tianjin, 300070, People’s Republic of China; 2Department of Integrated Traditional Chinese and Western Medicine, International Medical School, Tianjin Medical University, Tianjin, 300070, People’s Republic of China*These authors


Yiyu Qi,1 Saijia Ni,2 Xia Heng,1 Shuyue Qu,1 Pingyuan Ge,1 Xin Zhao,1 Zengying Yao,2 Rui Guo,3 Nianyun Yang,1 Qichun Zhang,2 Huaxu Zhu1 1Department of Traditional Chinese Medicine Processing and Preparation, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, Peopleâs Republic of China; 2Department of Pharmacology, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, Peopleâs Republic of China; 3Department of Physiological, Nanjing University of Chinese Medicine, Nanjing, Jiangsu,


Junhong Cai,1 Siyuan Peng,2 Haibo Wang,2 Shan Bao2 1Medical Laboratory Center, Hainan General Hospital/Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan, 570311, Peopleâs Republic of China; 2Department of Gynaecology and Obstetrics, Hainan General Hospital/Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan, 570311, Peopleâs Republic of ChinaCorrespondence: Shan Bao, Tel/Fax +86-0898-68642629, Email baoshan3@126.comBackground: Endometrial carcinoma (


Wenjie Shi,1,* Ning Xu,1,* Xuelin Wang,1 Isabelle Vallée,2 Mingyuan Liu,1 Xiaolei Liu1 1Key Laboratory of Zoonosis Research, Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, Jilin University, Changchun, 130062, People’s Republic of China; 2UMR BIPAR, Anses, INRAE, Ecole Nationale Vétérinaire d’Alfort, Laboratoire de Santé Animale, Maisons-Alfort, France*These authors contributed equally to this workCorrespondence: Xiaolei Liu; Mingyuan Liu, Tel +86-159430


Haocheng Qin,1 Rong Teng,1 Yan Liu,1 Juan Li,2,&amp;ast; Ming Yu1,&amp;ast; 1Department of Ultrasound, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, 222002, Peopleâs Republic of China; 2Department of Oncology, The Second Peopleâs Hospital of Lianyungang, Lianyungang, 222023, Peopleâs Republic of China&amp;ast;These authors contributed equally to this workCorrespondence: Ming YuDepartment of Ultrasound, The Affiliated Lianyungang Hospital of Xuzh


Jianhua Zhen,1,* Pengfei Zhao,1,2,* Yini Li,1,* Yanan Cai,1,* Wanchen Yu,1,* Wei Wang,1 Lu Zhao,1 Hesong Wang,1 Guangrui Huang,1 Anlong Xu1,3 1School of Life Sciences, Beijing University of Chinese Medicine, Beijing, People’s Republic of China; 2Oncology Department, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, People’s Republic of China; 3State Key Laboratory of Bio-control, Department of Biochemistry, School of Life Sciences, Sun Yat-Sen University, Gu


Mediaeval Germany, 911–1250: Essays by German Historians. Translated with an Introduction by Geoffrey Barraclough. Volume I, Introduction. Volume II, Essays. [Studies in Mediaeval History, edited by Geoffrey Barraclough.] (Oxford: Basil Blackwell. 1938. Pp. xii, 141; x, 305. 7s. 6d.; 12s. 6d.) Get access Mediaeval Germany, 911–1250: Essays by German Historians. Translated with an Introduction by Barraclough Geoffrey. Volume I, Introduction. Volume II, Essays. [Studies in Mediaeval History, edite


In July, 1986, the National Institute for Occupational Safety and Health (NIOSH) received a request to evaluate the noise levels found in the small cutter area of Champion International Corporation' s paper mill located in Hamilton, Ohio.Workers were concerned that one particular paper cutter in the small cutter area was much louder than the other cutters in the area and that a hazard to their hearing existed.During the opening conference of the health hazard evaluation, it was discovered that t


Karan Seegobin,1 Muhamad Alhaj Moustafa,1 Liuyan Jiang,2 Han W Tun1 1Department of Hematology and Medical Oncology, Mayo Clinic Hospital, Jacksonville City, FL, 32224, USA; 2Department of Pathology, Mayo Clinic Hospital, Jacksonville City, FL, 32224, USACorrespondence: Karan SeegobinDepartment of Hematology and Medical Oncology, Mayo Clinic Hospital, Jacksonville City, FL, 32224, USAEmail seegobin.karan@mayo.eduAbstract: Richter transformation (RT) is defined as the transformation of chronic lym


Lili Li,1,* Shanshan Fan,1,* Wenqi Zhang,1 Dongna Li,1 Zhen Yang,1,2 Pengwei Zhuang,1,2 Juan Han,3 Hong Guo,1 Yanjun Zhang1 1State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People’s Republic of China; 2School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, 301617, People’s Republic of China; 3College of Traditional Chinese Medicine, Tianjin University of Traditional Chin


Guangjing Huang,1,2 Jie Chen,2 Jing Liu,2 Xiaoyan Zhang,2 Haijie Duan,2 Qian Fang3,4 1Department of Biomedicine, Medical College of Guizhou University, Guiyang, Guizhou, 550000, People&rsquo;s Republic of China; 2Anesthesiology Department, Guizhou Provincial People&rsquo; s Hospital, Guiyang, Guizhou, 550000, People&rsquo;s Republic of China; 3Medical College of Guizhou University, Guiyang, Guizhou, 550000, People&rsquo;s Republic of China; 4Nursing Department, Guizhou Provincial


Huihua Qiu,1 Wenwei Ren,1 Yanjie Yang,2 Xiongzhao Zhu,3 Guangyun Mao,4 Shanping Mao,5 Yan Lin,6 Shanshan Shen,7 Changjin Li,8 Hongying Shi,4 Suo Jiang,8 Jingjing He,9 Ke Zhao,8 Ye Fu,10 Xiaoqu Hu,11 Yingying Gu,1 Kai Wang,12 Xiuchan Guo,13 Jincai He1,8 1Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, People’s Republic of China; 2Department of Medical Psychology, Public Health Institute of Harbin Medical University, Harbin, People’s Repub


Min Li,1 Ying Yang2 1Department of Oncology, Changsha Central Hospital, Changsha, Hunan, 2Department of Orthopaedic Surgery, Shanghai Ninth People&rsquo;s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People&rsquo;s Republic of ChinaEmerging evidence has shown that aberrant microRNA expression has the potential to be used for predicting survival and treatment response of carcinomas.1&ndash;3 Recently, the role of miR-150 was investigated in various types of ca


Marzia Lazzari,1 Claudio Marcassa,2 Silvia Natoli,1 Roberta Carpenedo,1 Clarissa Caldarulo,1 Maria B Silvi,1 Mario Dauri1 1Department of Emergency and Critical Care Medicine, Pain Medicine and Anaesthesiology, Tor Vergata Polyclinic, University of Rome, Rome, 2Cardiology Division, Fondazione Maugeri IRCCS Veruno, Novara, Italy Purpose: Chronic pain has a high prevalence in the aging population. Strong opioids also should be considered in older people for the treatment of moderate to severe pain


Derusha Frank,1 Charu Tyagi,1 Lomas Tomar,1 Yahya E Choonara,1 Lisa C du Toit,1 Pradeep Kumar,1 Clement Penny,2 Viness Pillay1 1Department of Pharmacy and Pharmacology, 2Department of Medical Oncology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa Abstract: Nanotechnology, although still in its infantile stages, has the potential to revolutionize the diagnosis, treatment, and monitoring of disease progression and success of therapy for numerous diseases


Jing Zhang,1,* Tao Wang,1,* Chen-cheng Zhang,1 Kristina Zeljic,2 Shikun Zhan,1 Bo-min Sun,1 Dian-you Li1 1Department of Functional Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 2Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, China *These authors contributed equally to this work Introduction: Deep brain stimulation (DBS) is a well-established therapy for the treatment of advanced Parkinson’s disease (PD) in patients experiencing mot


Hiroko Kashiwagi,1 Satoru Ikezawa,2 Tomiki Sumiyoshi,3 Atsuko Kadono,4 Kazuhiko Segawa,5 Kazuyoshi Takeda,1 Mayu Omori,1 Hisako Taguchi,1 Naotsugu Hirabayashi1 1Department of Forensic Psychiatry, 2Department of Psychiatry, 3Department of Clinical Epidemiology, Translational Medical Center, National Center Hospital of Neurology and Psychiatry, Kodaira, Tokyo, 4Saitama Psychiatric Medical Center, Kitaadatigun, Saitama, 5Department of General Medicine, National Center Hospital of Neurology and Psyc


Junzhao Chen,1,* Chenxi Yan,1,* Mengyu Zhu,1,* Qinke Yao,1 Chunyi Shao,1 Wenjuan Lu,1 Jing Wang,2 Xiumei Mo,2 Ping Gu,1 Yao Fu,1 Xianqun Fan1 1Department of Ophthalmology, Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, 2Biomaterials and Tissue Engineering Laboratory, College of Chemistry and Chemical Engineering and Biotechnology, Donghua University, Shanghai, People’s Republic of China *These authors contributed equally to this work Background: Cornea tra


Aachal Kotecha,1,2 Alex Baldwin,1 John Brookes,1 Paul J Foster1,2 1Glaucoma Service, Moorfields Eye Hospital National Health Service Foundation Trust, 2NIHR BRC, Moorfields Eye Hospital, NHS Foundation Trust and UCL Institute of Ophthalmology, University College London, London, UK Background: This article describes the development of a virtual glaucoma clinic, whereby technicians collect information for remote review by a consultant specialist.Design and Methods: This was a hospital-based s


Caiyun You,1–3 Haitham F Sahawneh,1,2 Lina Ma,1,2 Buraa Kubaisi,1,2 Alexander Schmidt,1,2 C Stephen Foster1,2,4 1Massachusetts Eye Research and Surgery Institution (MERSI), Waltham, 2Ocular Immunology and Uveitis Foundation, Weston, MA, USA; 3Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China; 4Harvard Medical School, Boston, MA, USA Introduction: Uveitis, a leading cause of preventable blindness around the world, is a critic


Benjamin Farahnik,1 Viraat Patel,2 Kourosh Beroukhim,3 Tian Hao Zhu,4 Michael Abrouk,2 Mio Nakamura,5 Rasnik Singh,3 Kristina Lee,5 Tina Bhutani,5 John Koo5 1University of Vermont College of Medicine, Burlington, VT; 2School of Medicine, University of California, Irvine, 3David Geffen School of Medicine, University of California, Los Angeles, 4University of Southern California Keck School of Medicine, Los Angeles, 5Department of Dermatology, Psoriasis and Skin Treatment Center, University of Cal


Arjun Poudel,1 Nancye M Peel,2 Charles A Mitchell,1 Leonard C Gray,2 Lisa M Nissen,1,3 Ruth E Hubbard21School of Pharmacy, 2Centre for Research in Geriatric Medicine, The University of Queensland, 3School of Clinical Sciences, Queensland University of Technology, Brisbane, QLD, AustraliaObjective: In Australian residential aged care facilities (RACFs), the use of certain classes of high-risk medication such as antipsychotics, potent analgesics, and sedatives is high. Here, we examined the prescr


Liang Huang,1,2 Sheng Chen,1,2 Ling Yao,1,2 Guangyu Liu,1,2 Jiong Wu,1,2 Zhiming Shao1&amp;ndash;3 1Department of Breast Surgery, Fudan University Shanghai Cancer Center/Cancer Institute, 2Department of Oncology, Shanghai Medical College, 3Institutes of Biomedical Science, Fudan University, Shanghai, People&amp;rsquo;s Republic of China Background: Neoadjuvant chemotherapy has become standard treatment for women with locally advanced breast cancer. The aim of this study was to compare th


Yan Liu,1 Zhong Zheng,1 Qixin Zhang,2 Xinling Zhou,3 Yikuan Feng,1 Anquan Yan2 1Department of Gastroenterology, 2Department of Health Care, 3Digestive Endoscopy Center, Weifang People&rsquo;s Hospital, Weifang, China Purpose: To systematically investigate the efficacy and safety of the combination of FOLFOX (oxaliplatin, 5-fluorouracil, and leucovorin) regimen and cocultured dendritic cells and cytokine-induced killer cells (DC-CIK) immunotherapy for the treatment of colorectal cancer (CRC).


Mustafa Calik,1 Dilek Sen Dokumaci,2 Suna Sarikaya,3 Mahmut Demir,4 Ilhan Isik,5 Halil Kazanasmaz,4 Cemil Kaya,4 Hasan Kandemir6 1Department of Pediatric Neurology, 2Department of Radiology, 3Department of Neurology, 4Department of Pediatrics, Harran University School of Medicine, 5Department of Pediatric Neurology, Eyyubiye Training and Research Hospital, 6Department of Child and Adolescent Psychiatry, Harran University School of Medicine, Sanliurfa, Turkey Abstract: Breath-holding spells are b


Hui Shi,1,2,* Wei-dong Mu,1,* Bing Zhang,3 Tao Meng,2 Shou-tao Zhang,2 Dong-sheng Zhou1 1Department of Traumatic Orthopaedics, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 2Department of Bone and Joint Surgery, 3Department of Urology Surgery, Binzhou Medical University Hospital, Binzhou, Shandong, People&amp;rsquo;s Republic of China *These authors contributed equally to this work Abstract: The metastatic form of osteosarcoma is a life threatening one since it metas


Meng Wang,1,* Zheng Wang,2,* Xi-Jing Wang,1 Tian-Bo Jin,3 Zhi-Ming Dai,4 Hua-Feng Kang,1 Hai-Tao Guan,1 Xiao-Bin Ma,1 Xing-Han Liu,1 Zhi-Jun Dai1 1Department of Oncology, Second Affiliated Hospital of Xi&amp;rsquo;an Jiaotong University, 2Department of Medical Oncology, Xi&amp;rsquo;an Central Hospital, 3National Engineering Research Center for Miniaturized Detection Systems, School of Life Sciences, Northwest University, 4Department of Anesthesia, Second Affiliated Hospital of Xi&am


Joji Takenaka,1 Eriko Kunihara,1 Ulfah Rimayanti,2 Junko Tanaka,3 Makoto Kaneko,4 Yoshiaki Kiuchi1 1Department of Ophthalmology and Visual Science, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan; 2Faculty of Medicine and Health Sciences, UIN Alauddin Makassar, South Sulawesi, Indonesia; 3Department of Epidemiology, Infectious Disease Control and Prevention, Graduate School of Biomedical Sciences, Hiroshima University, Hiroshima, Japan; 4Graduate School of Eng


Alfonso Merante,1 Pietro Gareri,2 Alberto Castagna,2 Norma Maria Marigliano,3 Mafalda Candigliota,4 Alessandro Ferraro,4 Giovanni Ruotolo1 1Geriatric Unit, &amp;ldquo;Pugliese-Ciaccio&amp;rdquo; Hospital, 2Azienda Sanitaria Provinciale (ASP), Catanzaro, 3SERT Taranto, ASL Taranto, 4Intensive Cardiology Unit, &amp;ldquo;Pugliese-Ciaccio&amp;rdquo; Hospital, Catanzaro, Italy Abstract: Cerebrovascular disease is one of the most common causes of cerebrovascular morbidity and mortalit


Chuanwei Wang,1,2,* Liping Ning,3,* Hongwei Wang,1,2,* Zaijun Lu,4 Xingang Li,1,2 Xiaoyong Fan,5 Xuping Wang,6 Yuguang Liu1,2 1Department of Neurosurgery, Qilu Hospital of Shandong University, Jinan, People&amp;#39;s Republic of China; 2Brain Science Research Institute of Shandong University, Jinan, People&amp;#39;s Republic of China; 3Department of Rehabilitation, Provincial Hospital Affiliated to Shandong University, Jinan, People&amp;#39;s Republic of China; 4School of Chemistry a


Bingham University,2022/2023 Admission form is Out Call ☎ 07066280862–07066280862 PROF MRS JUDITH Direct entry form, Transfer form, Change of course Form are all out Call on {+2347066280862 } on how to purchase the form and register online, For Admission Process on how to be admitted and mode of payment of School Fee And Acceptances Fee Contact Office of the registrar on +2347066280862 more Inquiry On GUIDELINES AND ADMISSION ASSISTANCE CALL PROF MRS JUDITH ON +2347066280862


Song Chai,1,* Shifeng Kan,1,* Ran Sun,1 Ruijuan Zhou,1 Yi Sun,2 Wenhua Chen,1 Bo Yu1,3 1Department of Rehabilitation, Shanghai General Hospital, Shanghai Jiaotong University, Shanghai 200080, China; 2Department of Rehabilitation, Shanghai Sunshine Rehabilitation Center, Yangzhi Affiliated Rehabilitation Hospital of Tongji University, Shanghai 201209, China; 3Department of Rehabilitation Therapy, School of International Medical Technology, Shanghai Sanda University, Shanghai 201209, China *These


Ritman University,2022/2023 Admission List (1st/2nd, Batch List) Out ☎ 07066280862 ☎ 07066280862 To Check Your Name ☎ 07066280862 Prof Mrs Adeleke For Checking Of Result , Admission List, Processing Of Admission Into Any Department Contact The Admin On 07066280862. Degree Pre-degree, Diploma Part-Time, Post-Graduate E.T.C Change Of Course, for more details and Admission Assistance


Nasloon Ali,1 Iffat Elbarazi,1 Saad Ghazal-Aswad,2 Fatima Al-Maskari,1,3 Rami H Al-Rifai,1,3 Abderrahim Oulhaj,1,3 Tom Loney,4 Luai A Ahmed1,3 1Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates; 2Obstetrics and Gynecology Department, Tawam Hospital, Al Ain, United Arab Emirates; 3Zayed Centre for Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates; 4College of Medicine, Mohammed Bin Rashid


Natalia Kirsten,1 Nicole Mohr,1 Franziska Gensel,1 Aminah Alhumam,1,2 Guido Bruning,3 Matthias Augustin1 1Institute for Health Services Research in Dermatology and Nursing (IVDP), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany; 2Department of Dermatology, College of Medicine, King Faisal University, Hofuf, Al Ahsa, Saudi Arabia; 3Department of Vein and Dermatosurgery, Tabea Hospital GmbH and Co KG, Hamburg, GermanyCorrespondence: Natalia KirstenInstitute for Health Services


Hanxiao Xu,1 Yijun Tian,1 Xun Yuan,1 Yu Liu,2 Hua Wu,1 Qian Liu,1 Gen Sheng Wu,3,4 Kongming Wu1 1Department of Oncology, 2Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People&amp;rsquo;s Republic of China; 3Department of Oncology, 4Department of Pathology, Karmanos Cancer Institute, Wayne State University School of Medicine, Detroit, MI, USA Abstract: Cluster of differentiation 44 (CD44) is a transmembrane glycoprotei


Shuhong Hao,1 Liang Cong,2 Rongfeng Qu,1 Rui Liu,1 Guizhen Zhang,3 Yarong Li11Department of Hematology and Oncology, The Second Hospital of Jilin University, Changchun, Jilin, People&rsquo;s Republic of China; 2Department of Digestive Endoscopy, The Second Hospital of Jilin University, Changchun, Jilin, People&rsquo;s Republic of China; 3Department of Orthopedics, The Second Hospital of Jilin University, Changchun, Jilin, People&rsquo;s Republic of ChinaAbstract: Circular RNAs (circR


Naama Halpern,1,2 Albert Grinshpun,3 Ben Boursi,1,2 Talia Golan,1,2 Ofer Margalit,1,2 Dan Aderka,1,2 Eitan Friedman,2,4 Yael Laitman,2,3 Ayala Hubert,3 Luna Kadouri,3 Tamar Hamburger,3 Inbal Barnes-Kedar,2,5 Zohar Levi,2,6 Irit Ben-Aharon,2,7 Baruch Brenner,2,7 Yael Goldberg,2,5 Tamar Peretz,3 Einat Shacham-Shmueli1,2 1Department of Oncology, Sheba Medical Center, Tel-Hashomer, Israel; 2Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; 3Sharett Institute of Oncology, Hadassah-H


Kaiying Yu,1&amp;ndash; 3,* Lihui Liu,3,4,* Xiaowei Zhang,1&amp;ndash; 3 Zhanzhi Zhang,1&amp;ndash; 3 Benqiang Rao,1&amp;ndash; 3 Yongbing Chen,1&amp;ndash; 3 Suyun Li,2,3 Hanping Shi1&amp;ndash; 3 1Department of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People&amp;rsquo;s Republic of China; 2Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People&amp;rsquo;s Repu


Naoyuki Fujita,1 Mitsuhiro Tambo,1 Takatsugu Okegawa,1 Eiji Higashihara,2 Kikuo Nutahara1 1Department of Urology, 2Department of Autosomal Dominant Polycystic Kidney Disease (ADPKD) Research, Kyorin University School of Medicine, Mitaka, Tokyo Purpose: Many physicians encounter confusion and difficulty in distinguishing testicular torsion (TT) from torsion of the appendix testis (TAT) in patients with acute scrotum because of the overlapping signs and symptoms. The objective of our study was to


Hamson Kanyesigye,1 Joseph Ngonzi,1 Edgar Mulogo,2 Yarine Fajardo,1 Jerome Kabakyenga2 1Department of Obstetrics and Gynecology, Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda; 2Department of Community Health, Mbarara University of Science and Technology, Mbarara, UgandaCorrespondence: Hamson Kanyesigye, Tel +256752806921, Email hkanyesigye@must.ac.ugIntroduction: In resource limited settings, the highest burden of adverse maternal-fetal outcomes at referral h


Irma Olarte,1 Anel Garc&amp;iacute;a,1 Christian Ramos,2 Brenda Arratia,1 Federico Centeno,3 Johanna Paredes,1 Etta Rozen,2 Juan Kassack,2 Juan Collazo,2 Adolfo Mart&amp;iacute;nez1 1Department of Molecular Biology, Hematology Service, Hospital General de M&amp;eacute;xico, &amp;ldquo;Dr. Eduardo Liceaga&amp;rdquo;, Mexico City, Mexico; 2Department of Medical Hematology, Hospital General de M&amp;eacute;xico, &amp;ldquo;Dr. Eduardo Liceaga&amp;rdquo;, Mexico City,


Dingfeng Lv,1 Danyang Zhang,2 Qifa Song21Department of Clinical Laboratory, Ningbo First Hospital, Ningbo, Zhejiang Province, People&rsquo;s Republic of China; 2Department of Microbiology, Ningbo Municipal Centre for Disease Control and Prevention, Ningbo, Zhejiang Province, People&rsquo;s Republic of ChinaPurpose: This study was aimed to investigate the dynamics of antimicrobial resistance expansion among different lineages and isolates of S. Typhi.Materials and methods: The S. Typhi is


Elaheh Foroumandi,1,2 Mohammad Alizadeh,1 Rahim Khodayari-Zarnaq,3 Sorayya Kheirouri1 1Nutrition Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; 2Students&rsquo; Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran; 3Iranian Center of Excellence in Health Management, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, IranCorrespondence: Sorayya KheirouriDepartment of Nutrition, Faculty of Nutrition, Tabriz Uni


Weitong Song,1 Lu Bai,1 Yuya Yang,1 Yongchao Wang,2 Pingxiang Xu,1,3 Yuming Zhao,1 Xuelin Zhou,1,3 Xiaorong Li,1,3 Ming Xue1,3 1Department of Pharmacology, School of Basic Medical Sciences, Capital Medical University, Beijing, People’s Republic of China; 2CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing, People’s Republic of China; 3Beijing Laboratory for Biomedica


Daniele Cappellani,1 Enrico Macchia,1 Alberto Falorni,2 Piero Marchetti3 1Department of Clinical and Experimental Medicine, Unit of Endocrinology, University of Pisa, Pisa, Italy; 2Department of Medicine, Section of Internal Medicine and Endocrine and Metabolic Sciences, University of Perugia, Perugia, Italy; 3Department of Clinical and Experimental Medicine, Division of Metabolism and Cell Transplantation, University of Pisa, Pisa, ItalyCorrespondence: Daniele CappellaniDepartment of Clinical a


Miguel Xavier,1 Lorena García-Hevia,1 Isabel R Amado,1,2 Lorenzo Pastrana,1 Catarina Gonçalves1 1Department of Life Sciences, International Iberian Nanotechnology Laboratory, Braga 4715-330, Portugal; 2Department of Food and Analytical Chemistry, Faculty of Sciences, University of Vigo, Ourense 32004, SpainCorrespondence: Catarina GonçalvesDepartment of Life Sciences, International Iberian Nanotechnology Laboratory, Av. Mestre José Veiga s/n, Braga 4715-330, PortugalE


Yan Sun,1,* Xing Niu,1,* Guannan Wang,1 Xue Qiao,2 Lijie Chen,1 Ming Zhong1 1Department of Oral Histopathology, School of Stomatology, China Medical University, Shenyang, Liaoning, People&rsquo;s Republic of China; 2Department of Central Laboratory, School of Stomatology, China Medical University, Shenyang, Liaoning, People&rsquo;s Republic of China*These authors contributed equally to this workCorrespondence: Ming ZhongDepartment of Oral Histopathology, School of Stomatology, China Medi


Zhi Ruan, 1 Jianyong Wu, 2 Hangfei Chen, 1 Mohamed S Draz, 3, 4 Juan Xu, 5 Fang He 6 1Department of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, People&amp;rsquo;s Republic of China; 2Department of Clinical Laboratory, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu 322000, People&amp;rsquo;s Republic of China; 3Department of Medicine, Harvard Medical School, Boston, MA 02115, USA; 4Department of Che


Xiaoling Wang,1,2 Jianqing Gao,2 Xumei Ouyang,1,2 Junbo Wang,1 Xiaoyi Sun,1 Yuanyuan Lv1 1Department of Pharmacy, Zhejiang University City College, 2Institute of Pharmaceutics, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, China Background: Mesenchymal stem cells (MSCs) possess inherent tropism towards tumor cells, and so have attracted increased attention as targeted-therapy vehicles for glioma treatment.Purpose: The objective of this study was to demonstrate the injection


Rodrigo Alonso,1,2 Leopoldo Perez de Isla,3 Ovidio Muñiz-Grijalvo,4 Pedro Mata2 1Department of Nutrition, Clínica Las Condes, Santiago, Chile; 2Fundación Hipercolesterolemia Familiar, Madrid, Spain; 3Department of Cardiology, Hospital San Carlos, Madrid, Spain; 4Internal Medicine Department, Hospital Virgen del Rocío, Sevilla, SpainCorrespondence: Pedro MataFundación Hipercolesterolemia Familiar, Gral Alvarez De Castro 14, 1-E, Madrid 28010, SpainTel +34 915042


Hongzhi Liu,1,2,* Hui Chen,1,* Xiaomo Wu,3,4 Ying Sun,2 Yingchao Wang,2 Yongyi Zeng,1,2 Geng Chen,2 Xiaolong Liu,2 Xiaohua Xing,2,5 Bixing Zhao,2 Jingfeng Liu1,21Department of Gastrointestinal Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350007, People’s Republic of China; 2The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou 350025, People’s R


Ting Wang,1 Lijuan Mao,1 Jihong Wang,1 Peijun Li,1 Xiaodan Liu,2,3 Weibing Wu1 1Department of Sports Medicine, Shanghai University of Sport, Shanghai 200438, People’s Republic of China; 2School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, People’s Republic of China; 3Institute of Rehabilitation Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai 201203, People’s Republic of ChinaCorrespondence: Weibing WuDepar


Tong Chen,1,* Xuan Wang,1,* Xin Wang,1 Haishan Chen,1 Hua Xiao,1 Hongjuan Tang,1 Ling Feng,1 Zhicong Xiang,1 Hequn Zou,1,2 Xiaofei Shao1 1Department of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People’s Republic of China; 2Department of Nephrology, Pinghu Hospital, Health Science Center, Shenzhen University, Shenzhen 518116, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiaofei ShaoDepartment o


Shuo Wang,1,* Yongxiang Yang,2,* Lili Sun,3 Guoliang Qiao,1 Yunlong Song,4 Bing Liu5 1Department of Medical Oncology, Beijing Shijitan Hospital, Beijing, People&rsquo;s Republic of China; 2Outpatient Department, PLA Rocket Force Characteristic Medical Center, Beijing, People&rsquo;s Republic of China; 3Department of Stomatology, Beijing Chuiyangliu Hospital, Beijing, People&rsquo;s Republic of China; 4Department of Pharmacy, PLA Rocket Force Characteristic Medical Center, Beijing, Pe


Konstantinos Kostikas,1 Theodoros I Vassilakopoulos,2,3 Nikos Tzanakis,4 Athanasios K Konstantinidis,1 Epameinondas N Kosmas,5 Spyros Papiris,6 Paschalis Steiropoulos,7 Effrosyni D Manali,6 Stylianos A Michaelides8,&amp;dagger;, Grigorios Daskos9 1Respiratory Medicine Department, University Hospital of Ioannina, Ioannina, Greece; 2Pulmonary and Critical Care Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece; 3Third Department of Critical Care Medicine,


Wei Tao,1,* Yajun Li,1,* Meng Zhu,2 Cheng Li,3 Peng Li1 1Department of Gastroenterology, General Hospital of Ningxia Medical University, Yinchuan City, Ningxia 750004, People&rsquo;s Republic of China; 2Department of Gastroenterology, Affiliated Hospital of Xi&rsquo;an Jiaotong University, Xi&rsquo;an, Shaanxi 710049, People&rsquo;s Republic of China; 3Department of Gastroenterology, Pingluo County People&rsquo;s Hospital, Shizuishan City, Ningxia 753400, People&rsquo;s R


Zhangluxi Liu,1 Haitao Ran,2 Zhigang Wang,2 Shiji Zhou,1 Yaxu Wang1 1Department of Gastrointestinal Surgery, Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, People’s Republic of China; 2Institute of Ultrasound Imaging of Chongqing Medical University, Chongqing 400010, People’s Republic of ChinaCorrespondence: Yaxu Wang; Shiji ZhouDepartment of Gastrointestinal Surgery, Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, People&r


Marta Muszalik,1 Mateusz Gurtowski,1 Halina Doroszkiewicz,2 Robbert JJ Gobbens,3&amp;ndash;5 Kornelia KÄdziora-Kornatowska11Department of Geriatrics, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Torun, ToruÅ, Poland; 2Department of Geriatrics, Medical University of Bialystok, BiaÅystok, Poland; 3Faculty of Health, Sports and Social Work, Inholland University of Applied Sciences, Amsterdam, the Netherlands; 4Zonnehuisgroep Amstelland, Amstelveen, the Netherlands; 5Depa


Nadia Hernandez,1 Grace Guvernator,1 George Ansoanuur,2 Michelle Ge,3 Precious Tabansi,1 Thanh-Thuy Le,1 Salameh S Obeidat,4 Johanna de Haan1 1Department of Anesthesiology, Division of Regional Anesthesiology and Acute Pain Medicine, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX 77030, USA; 2Department of Neurology, Division of Trauma, Concussion and Sports Neuromedicine, University of Florida College of Medicine, Gainesville, FL 32610, USA; 3Departme


Shida Yan,1,* Yingyi Wang,2,* Xiao Chen,1,* Yefan Zhang,1 Zhen Huang,1 Jianjun Zhao,1 Jianguo Zhou,1 Zhiyu Li,1 Xinyu Bi,1 Zhiwen Luo,1 Jianqiang Cai,1 Hong Zhao1 1Department of Hepatobiliary Surgery, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China; 2Department of Medical Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beij


Akira Nishioka,1 Maiko Kimura,1 Eriko Sakamoto,1 Hiroshi Nagasaka,2 Toshiharu Azma1,2 1Department of Anesthesiology & Pain Medicine, Kohondai Hospital, National Center for Global Health and Medicine, Ichikawa, Chiba 272-8516, Japan; 2Department of Anesthesiology, Saitama Medical University Hospital, Iruma, Saitama 350-0495, JapanCorrespondence: Toshiharu AzmaDepartment of Anesthesiology & Pain Medicine, Kohondai Hospital, National Center for Global Health and Medicine, Ichikawa, Chiba 27


Lizhong Ren,1,* Hongrong Qian,1,* Junsen Wang,2 Piaopiao Jin,3 Qida Hu,4 Jiajie Yu,5 Xin Zhang,6 Yun Zhang,4 Haifeng Huang5 1Department of Ultrasound, Shengzhou People&rsquo;s Hospital, Shaoxing 312400, People&rsquo;s Republic of China; 2Department of Pathology, Shengzhou People&rsquo;s Hospital, Shaoxing 312400, People&rsquo;s Republic of China; 3Health Management Center, First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, People&rsquo;s Repub


Nipaporn Apisitwasana,1,2 Usaneya Perngparn,1,3 Linda B Cottler4 1College of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand; 2Department of Community Health Nursing, Boromarajonnani College of Nursing, Bangkok, Thailand; 3Drug Dependence Research Center, College of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand; 4Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, US


Xianbo Huang,1 Wenbin Qian,2 Xiujin Ye1 1Department of Hematology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, People&amp;rsquo;s Republic of China; 2Department of Hematology, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, People&amp;rsquo;s Republic of ChinaCorrespondence: Xiujin Ye Tel +86-571-87235875Fax +86-571-87235560;Email yxjsunny@zju.edu.cnWenbin Qian Tel/Fax +86-571-89713674Email qianwb@zj


Min Li,1,* Hongling Chen,1,* Tong Sun,2 Zhuo Ma,1 Xi Chen,1 Dandan Wu,1 Wenbin Huang,3 Xuerong Wang1 1Department of Pharmacology, Nanjing Medical University, Nanjing, Jiangsu Province, People&amp;rsquo;s Republic of China, 210029; 2Key Laboratory of Human Functional Genomics of Jiangsu Province, Nanjing Medical University, Nanjing, Jiangsu Province, People&amp;rsquo;s Republic of China, 210029; 3Department of Pathology, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu


Jing Zeng,1,2 Pengpeng Qu,1 Qingsong Pang,2 Ping Wang2 1Department of Gynecologic Oncology, Tianjin Central Hospital of Gynecology and Obstetrics, Affiliated Hospital of Nankai University, Tianjin 300100, People&amp;rsquo;s Republic of China; 2Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin&amp;rsquo;s Clinical Research Center for Cancer, Tianjin 300060, People&amp;rsquo;s


Esmat Nemati,1 Ali Khezri,2 Shirin Nosratnejad3,4 1Department of Accreditation and Supervision on Treatment, Dezful University of Medical Sciences, Dezful, Iran; 2School of Nursing and Midwifery, Bam University of Medical Sciences, Bam, Iran; 3Iranian Center of Excellence in Health Services Management, School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran; 4Department of Health Economics, School of Management and Medical Informatics, Tabriz University


Wei Liu,1 Yi Chai,1 Libo Hu,1 Junhua Wang,2 Xin Pan,2 Hongyu Yuan,3 Zitong Zhao,3 Yongmei Song,3 Yuqi Zhang1 1School of Clinical Medicine, Tsinghua University, Beijing 10084, People&rsquo;s Republic of China; 2Department of Neurosurgery, Yuquan Hospital, School of Clinical Medicine, Tsinghua University, Beijing 100040, People&rsquo;s Republic of China; 3State Key Laboratory of Molecular Oncology, National Cancer Center, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Unio


Chen Chen,1,2,* Xuanye Zhang,2,3,* Yixin Zhou,2,4,* Sha Fu,5 Zuan Lin,2,6 Shaodong Hong,2,3 Li Zhang2,3 1Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People&amp;rsquo;s Republic of China; 2State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People&amp;rsquo


Shimelis Girma,1 Arefayne Alenko,1 Liyew Agenagnew2 1Department of Psychiatry, Institute of Health, Jimma University, Jimma, Ethiopia; 2Department of Psychiatry, Jimma University, Jimma, EthiopiaCorrespondence: Shimelis Girma Email shimelisgirma@gmail.comBackground: The novel coronavirus disease, COVID-19, causes massive death, threatens the life and health of the world population. Thousands of health professionals were died and tested positive.Objective: This study was designed to determine kno


Shanhong Fang,1,* Tianmin He,2,* Jiarun Jiang,3 Yongfeng Li,1 Peng Chen1 1Department of Orthopedics, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, People&amp;rsquo;s Republic of China; 2Department of Vascular Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, People&amp;rsquo;s Republic of China; 3Department of Orthopedics, The Hospital of Changle District, Fuzhou 350005, People&amp;rsquo;s Republic of China*These authors


Giao Huynh,1 Duong Uyen Binh Pham,2 Truong Vien Nguyen,1 Vinh Quang Bui,3 Thi Ngoc Han Nguyen,4 Dang Dung Nguyen,1 Le An Pham5 1Faculty of Public Health, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam; 2Quality Assurance of Education, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam; 3Department of Pediatrics, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam; 4Infection Control Department, Uni


Didem Saygin,1 Robyn T Domsic2 1Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, USA; 2Division of Rheumatology and Clinical Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USACorrespondence: Robyn T DomsicDivision of Rheumatology and Clinical Immunology, University of Pittsburgh School of Medicine, S706 BST, 200 Lothrop Street, Pittsburgh, PA 15213, USATel +1 412 383 8000Fax +1 412 383 8765Email rtd4@pitt.eduAbstract: Systemic sclerosis (


Donatella Milani,1 Lidia Pezzani,1 Silvia Tabano,2 Monica Miozzo2,31Pediatric Highly Intensive Care Unit, Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 2Department of Pathophysiology and Transplantation, Università degli Studi di Milano, 3Division of Pathology, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, ItalyAbstract: Genomic imprinting is an epigenet


Zohreh Sekhavatpour,1 Narges Khanjani,2 Tayebeh Reyhani,3 Sogol Ghaffari,4 Maryam Dastoorpoor51Department of Pediatric Nursing, Anesthesiology, School of Paramedicine, Dezful University of Medical Sciences, Dezful, Iran; 2Department of Epidemiology, Neurology Research Center, Kerman University of Medical Sciences, Kerman, Iran; 3Department of Nursing, Faculty of Nursing, Mashhad University of Medical Sciences, Mashhad, Iran; 4Department of Psychologist, Dezful University of Medical Sciences, Dez


Ying Luo,1,* Pijian Yang,1,* Zhengming Li,2 Yunchen Luo,2 Jing Shen,1 Ruwen Li,1 Hua Zheng,3 Yuzhen Liang,2 Ning Xia1 1Department of Endocrinology and Metabolism, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, People’s Republic of China; 2Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530021, People’s Republic of China; 3Life Sciences Institute, Guangxi Medical University, Nanning 530021,


Ziqi Ye,1,* Hongying Zhao,2,* Wuyuan Zhou,3 Tao Ye,4 Chong Geng,4 Xiaofeng Li,5 Lei Yuan,6 Mingyu Du,7 Heng Xu,8 Qiang Wang4 1The First Clinical Medical College, Graduate School, Nanjing Medical University, Nanjing, Jiangsu 210000, People&rsquo;s Republic of China; 2Medical Oncology, Xuzhou Cancer Hospital, Xuzhou, Jiangsu 221005, People&rsquo;s Republic of China; 3Department of Hepatopancreatobillary Surgery, Xuzhou Cancer Hospital, Xuzhou, Jiangsu 221005, People&rsquo;s Republic of


Jijun Liu,1 Qi Wu,1 Yonggui Wang,1 Yulong Wei,2 Hong Wu,3 Lijun Duan,1 Qiang Zhang,1 Yonggang Wu1 1Department of Orthopedics, 2Department of Pathology, 3Department of Ultrasound, Bayannaoer City Hospital, Bayannaoer, Inner Mongolia, People&rsquo;s Republic of China Purpose: Osteosarcoma (OS) is the most common type of primary solid bone tumor. Ovo-like zinc finger 2 (Ovol2), a zinc finger transcription factor, is a mesenchymal&ndash;epithelial transition (MET) driver that induces miR-200


Pharmacognosy Research,2024,16,3,626-637.DOI:10.5530/pres.16.3.74Published:June 2024Type:Original ArticleAuthors:Anis Zuhaida Mamnun Barizi, Ain Nabila Syahira Shamsol Azman, Muhamad Fikri Shazlan Saad, Muhammad Nazrul Hakim Abdullah, Vuanghao Lim, and Yoke Keong Yong Author(s) affiliations:Anis Zuhaida Mamnun Barizi1, Ain Nabila Syahira Shamsol Azman1, Muhamad Fikri Shazlan Saad1, Muhammad Nazrul Hakim Abdullah2, Vuanghao Lim3, Yoke Keong Yong1,* 1Department of Human Anatomy, Faculty of Medicin


Chunli Chen,1,2 Ping Liu,1,2 Xiaoyue Duan,1,2 Man Cheng,1,2 Lisa X Xu1,21School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People&rsquo;s Republic of China; 2School of Biomedical Engineering and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, People&rsquo;s Republic of ChinaBackground: Deferoxamine (DFO) is a commonly used iron chelator, which can reduce the iron levels in cells. DFO is normally used to treat iron-overload disease, including so


Weiran Hu,1,2,&ast; Yuepeng Song,1,3,&ast; Haohao Ma,1,2 Hongqiang Wang,1,2 Kai Zhang,1,2 Yanzheng Gao1,2 1Department of Spinal Cord Surgery, Henan Provincial People’s Hospital, Zhengzhou, Henan, People’s Republic of China; 2Department of Spinal Cord Surgery, People’s Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China; 3Department of Spinal Cord Surgery, People’s Hospital of Henan University, Zhengzhou, Henan, People’s Republic of China&ast;These authors c


Fanguo Hu,1,* Hanjie Wang,2,* Shuangnan Zhang,2 Yao Peng,2 Lin Su,2 Jin Chang,2 Gang Liu11Department of General Surgery, Tianjin Medical University General Hospital, Tianjin, People’s Republic of China; 2School of Life Sciences, Tianjin University, Collaborative Innovation Center of Chemical Science and Engineering, Tianjin Engineering Center of Micro-Nano Biomaterials and Detection-Treatment Technology, Tianjin, People’s Republic of China*These authors contributed equally to th


Melita Sheilini,1 H Manjunatha Hande,2 Mukhyaprana M Prabhu,2 Mamatha Shivananda Pai,3 Anice George41Department of Medical Surgical Nursing, Manipal College of Nursing Manipal, MAHE, Manipal, Udupi District, Karnataka, India; 2Department of Medicine, Kasturba Hospital, MAHE, Manipal, Udupi District, Karnataka, India; 3Department of Child Health Nursing, Manipal College of Nursing Manipal, MAHE, Manipal, Udupi District, Karnataka, India; 4Department of Child Health Nursing, Manipal College of Nur


Yangmengfan Chen,1,* Ming Guan,1,* Ranyue Ren,1 Chenghao Gao,1 Hao Cheng,2 Yong Li,1 Biao Gao,3 Yong Wei,3 Jijiang Fu,3 Jun Sun,4 Wei Xiong1 1Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, People’s Republic of China; 2Department of Orthopedics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, People’s Republic of China; 3The State Key Laboratory of Refractories and Metallurgy, School of


On Thursday, 28 May, the INOS project: Integrating Open and Citizen Science into active learning approaches in Higher Education organised a virtual Learning and Train-the-Trainer Activity (LTTA) targeting the project partner team. The main goal of the activity was to enhance the project partners’ skills in order for them to be able to deliver other Open Knowledge and Open Innovation Activities later in the project. LIBER, taking the lead on the training, organized a virtual training session on R


Liying Zhang,1,* Xinhua Chen,2,* Haili Wang,1 Haipeng Huang,1 Mengyuan Li,1 Lin Yao,1 Shiqi Ma,1 Zhen Zhong,1 Hongmei Yang,3 Hongfeng Wang4 1School of Acupuncture and Massage, Changchun University of Chinese Medicine, Changchun, Jilin, 130117, People&amp;rsquo;s Republic of China; 2Department of Acupuncture and Moxibustion, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, Jilin, 130021, People&amp;rsquo;s Republic of China; 3Jilin Ginseng Academy, Changchun Uni


Fei Liu,1,* Tianqing Cao,1,* Yacong Liu,1 Dian Huang,2 Jingxin Zhang3 1Department of Cardiology, Northern Jiangsu People’s Hospital Affiliated to Yangzhou University, Yangzhou, Jiangsu, 225001, People’s Republic of China; 2Department of Radiology, Affiliated hospital of Jiangsu University, Zhenjiang, Jiangsu, 212001, People’s Republic of China; 3Department of General Surgery, People’s Hospital Affiliated to Jiangsu University, Zhenjiang, Jiangsu, 212002, People’s Republic of China*Th


Lianbo Hu,1 Bingrong Zheng,2 Yang Yang,2 Chunmei Chen,2 Meiwei Hu2 1Physical Examination Center, Affiliated Hangzhou First Peopleâs Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, Peopleâs Republic of China; 2Department of Hematology, the Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, Peopleâs Republic of ChinaCorrespondence: Meiwei Hu, Department of Hematology, the Second Affiliated Hospital of Zhejiang Chinese Medical Universi


Rongbin Gong,1,&ast; Moqin Qiu,2,&ast; Yingchun Liu,1,3 Ji Cao,4 Zihan Zhou,4 Qiuling Lin,5 Yanji Jiang,6 Xiumei Liang,7 Yuying Wei,1 Qiuping Wen,1 Peiqin Chen,1 Xiaoxia Wei,5 Junjie Wei,1 Shicheng Zhan,1 Ruoxin Zhang,8 Dong Ye,9 Hongping Yu1,3,10 1Department of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China; 2Department of Respiratory Oncology, Guangxi Medical University Cancer Hospital, Nanning, People’s Republic of China; 3Key Cu