46 research outputs found

    An Analysis of LED Light Distribution Based on Visual Spectral Characteristics

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    AbstractOn the analysis of the human visual structure characteristics and LED optical design principle, human visual color image model with background light was constructed in this paper, and the image sharpness function is defined. With high pressure sodium lamps, white light and green light LED as backlight, the model simulation of image sharpness is fulfilled. The results show that the green LED has better clarity and sensitivity with the same condition of radiation energy background light

    Pathogenicity of Streptococcus iniae causing mass mortalities of yellow catfish (Tachysurus fulvidraco) and its induced host immune response

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    The outbreak of mass mortality occurred in Tachysurus fulvidraco farm in Hubei province of China. The pathogenic strain of Streptococcus iniae (termed 2022SI08) was isolated and identified from diseased T. fulvidraco, based on morphological, physiological, and biochemical characteristics, as well as 16S rRNA gene sequence and phylogenetic analysis. Further, the whole genome of isolate S. iniae was sequenced and predicted to contain one single circular chromosome of 1,776,777 bp with a GC content of 37.14%. The genomic sequence analysis showed that 2022SI08 was positive for 204 virulent and 127 antibiotic resistant genes. The experimental challenge demonstrated the high pathogenicity of the retrieved isolate of S. iniae, with a median lethal dosage (LD50) 9.53 × 105 CFU/g. Histopathological examination indicated that the 2022SI08 strain could induce extensive tissue cell degeneration, necrosis, hemorrhage, and inflammation in the skin, gill, fin, spleen, liver, kidney, intestine, eye, and brain. Moreover, the innate immune enzyme activities in serum such as acid phosphatase and alkaline phosphatase were increased significantly at 24 and 48 h post infection (hpi) and then decreased at 168 hpi. The transcriptional profile of immune associated gene in T. fulvidraco following bacterial infection was detected at each point of time, and the results revealed clear transcriptional activation of those genes, which proving their reacting and regulatory role during the response of the host against S. iniae infection. The results revealed that S. iniae was an etiological agent in the mass mortalities of T. fulvidraco and this research will be conducive for increasing our understanding on pathogenesis and host defensive system in S. iniae invasion

    Effect of solution-focused approach on anxiety and depression in patients with rheumatoid arthritis: A quasi-experimental study

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    IntroductionAnxiety and depression are common psychological problems in rheumatoid arthritis (RA) patients. However, few effective nursing intervention models have been designed specifically to improve anxiety and depression in RA patients. Solution-focused approach (SFA) is an effective intervention method for psychosocial issues. There have been no studies involving SFA yet in RA patients. This study investigated the effects of SFA-based nursing intervention on anxiety and depression in RA patients.MethodsA quasi-experimental study using a convenience sampling of RA patients was conducted. The 48 RA patients were divided into the control group (n = 24) and the experimental group (n = 24). The control group received routine nursing intervention, while the experimental group received SFA-based nursing intervention. The scores on the self-rating anxiety scale (SAS), self-rating depression scale (SDS), arthritis self-efficacy scale-8 (ASES-8), and questionnaire on patient satisfaction with nursing care were collected before and after nursing interventions.ResultsBetween-Group Comparison: Before the nursing intervention, there was no statistically significant difference in the SDS, SAS, and ASES-8 scores between the two groups (p > 0.05). However, after the nursing intervention, the SDS and SAS scores of the experimental group were statistically significantly lower than those of the control group (p < 0.05). In contrast, the ASES-8 score of the experimental group was statistically significantly higher than that of the control group (p < 0.05). In addition, patient satisfaction with nursing care of the experimental group was better than that of the control group (p > 0.05). Within-Group Comparison: There was no statistically significant difference in the SDS, SAS, and ASES-8 scores in the control group before and after routine nursing intervention (p > 0.05). However, in the experimental group, the SDS and SAS scores before SFA-based nursing intervention were statistically significantly higher than those after SFA nursing intervention (p < 0.05), and the ASES-8 score before SFA-based nursing intervention was considerably lower than that after SFA nursing intervention (p < 0.05).DiscussionSFA-based nursing intervention can effectively improve anxiety, depression, and arthritis self-efficacy of RA patients. This study broadens clinical psychological nursing intervention models for RA patients. SFA may be an effective nursing model for various psychosocial problems in the current medical context

    Incidence and spontaneous clearance of gonorrhea and chlamydia infections among men who have sex with men: a prospective cohort study in Zhuhai, China

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    BackgroundMen who have sex with men (MSM) face significant risks of Chlamydia trachomatis (CT) and/or Neisseria gonorrhoeae (NG) infection. Nevertheless, only limited studies have looked into the site-specific infection and clearance of CT/NG. In order to prevent transmission, it is essential to understand the underlying factors that drive infection and spontaneous clearance.MethodsA 12-week cohort study examined the association between CT/NG infection, self-clearance, and sexual behaviors among MSM. The Willingness Service recruited participants who completed weekly questionnaires and provided urine, throat, and rectal swab samples.ResultsThe study involved 151 men, in which 51 (33.8%) were diagnosed with CT/NG infection during the study period. HIV (OR = 11.31), kissing (OR = 1.59), receptive oral sex (OR = 36.64), and insertive anal sex (OR = 19.73) constituted significant risk factors. 100% condom use (OR = 5.78) and antibiotic (OR = 7.53) were more likely to cause spontaneous clearance.DiscussionMSM may engage in riskier sexual behaviors due to insufficient knowledge and awareness of STI prevention, leading to increased susceptibility to NG/CT. It is crucial to concentrate on enhancing health education for MSM.ConclusionThis study found that the rectum was the most prevalent site of CT/NG and sexual behavior can influence the infection. Additionally, the appropriate use of antibiotics and consistent condom use may contribute to clear spontaneously

    Radiogenomics analysis reveals the associations of dynamic contrast-enhanced–MRI features with gene expression characteristics, PAM50 subtypes, and prognosis of breast cancer

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    BackgroundTo investigate reliable associations between dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) features and gene expression characteristics in breast cancer (BC) and to develop and validate classifiers for predicting PAM50 subtypes and prognosis from DCE-MRI non-invasively.MethodsTwo radiogenomics cohorts with paired DCE-MRI and RNA-sequencing (RNA-seq) data were collected from local and public databases and divided into discovery (n = 174) and validation cohorts (n = 72). Six external datasets (n = 1,443) were used for prognostic validation. Spatial–temporal features of DCE-MRI were extracted, normalized properly, and associated with gene expression to identify the imaging features that can indicate subtypes and prognosis.ResultsExpression of genes including RBP4, MYBL2, and LINC00993 correlated significantly with DCE-MRI features (q-value < 0.05). Importantly, genes in the cell cycle pathway exhibited a significant association with imaging features (p-value < 0.001). With eight imaging-associated genes (CHEK1, TTK, CDC45, BUB1B, PLK1, E2F1, CDC20, and CDC25A), we developed a radiogenomics prognostic signature that can distinguish BC outcomes in multiple datasets well. High expression of the signature indicated a poor prognosis (p-values < 0.01). Based on DCE-MRI features, we established classifiers to predict BC clinical receptors, PAM50 subtypes, and prognostic gene sets. The imaging-based machine learning classifiers performed well in the independent dataset (areas under the receiver operating characteristic curve (AUCs) of 0.8361, 0.809, 0.7742, and 0.7277 for estrogen receptor (ER), human epidermal growth factor receptor 2 (HER2)-enriched, basal-like, and obtained radiogenomics signature). Furthermore, we developed a prognostic model directly using DCE-MRI features (p-value < 0.0001).ConclusionsOur results identified the DCE-MRI features that are robust and associated with the gene expression in BC and displayed the possibility of using the features to predict clinical receptors and PAM50 subtypes and to indicate BC prognosis

    Streptococcal Toxic Shock Syndrome Caused by Streptococcus suis Serotype 2

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    BACKGROUND: Streptococcus suis serotype 2 ( S. suis 2, SS2) is a major zoonotic pathogen that causes only sporadic cases of meningitis and sepsis in humans. Most if not all cases of Streptococcal toxic shock syndrome (STSS) that have been well-documented to date were associated with the non-SS2 group A streptococcus (GAS). However, a recent large-scale outbreak of SS2 in Sichuan Province, China, appeared to be caused by more invasive deep-tissue infection with STSS, characterized by acute high fever, vascular collapse, hypotension, shock, and multiple organ failure. METHODS AND FINDINGS: We investigated this outbreak of SS2 infections in both human and pigs, which took place from July to August, 2005, through clinical observation and laboratory experiments. Clinical and pathological characterization of the human patients revealed the hallmarks of typical STSS, which to date had only been associated with GAS infection. Retrospectively, we found that this outbreak was very similar to an earlier outbreak in Jiangsu Province, China, in 1998. We isolated and analyzed 37 bacterial strains from human specimens and eight from pig specimens of the recent outbreak, as well as three human isolates and two pig isolates from the 1998 outbreak we had kept in our laboratory. The bacterial isolates were examined using light microscopy observation, pig infection experiments, multiplex-PCR assay, as well as restriction fragment length polymorphisms (RFLP) and multiple sequence alignment analyses. Multiple lines of evidence confirmed that highly virulent strains of SS2 were the causative agents of both outbreaks. CONCLUSIONS: We report, to our knowledge for the first time, two outbreaks of STSS caused by SS2, a non-GAS streptococcus. The 2005 outbreak was associated with 38 deaths out of 204 documented human cases; the 1998 outbreak with 14 deaths out of 25 reported human cases. Most of the fatal cases were characterized by STSS; some of them by meningitis or severe septicemia. The molecular mechanisms underlying these human STSS outbreaks in human beings remain unclear and an objective for further study

    Modélisation et recalage d'images protéomiques

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    L objectif de cette thĂšse est de dĂ©velopper des mĂ©thodes de traitement destinĂ©es aux images de gel d Ă©lectrophorĂšse bidimensionnelle (2DGE). Nous abordons plus particuliĂšrement un certain nombre de problĂšmes liĂ©s Ă  la modĂ©lisation et au recalage des images 2DGE. Dans ce cadre, nous avons proposĂ© une nouvelle approche de mise en correspondance pour les spots dans des images 2GDE. Cette approche s inspire du principe d attraction, et permet de dĂ©tecter de maniĂšre prĂ©cise un plus grand nombre de spots en correspondance. Elle est basĂ©e sur l exploitation simultanĂ©e de plusieurs types d information tels que la distance, l intensitĂ© et le pattern des spots. Les rĂ©sultats obtenus sur des images aussi bien simulĂ©es que rĂ©elles montrent que l information de pattern de spots joue un rĂŽle important dans la mise en correspondance des spots, et que son utilisation peut permettre d amĂ©liorer considĂ©rablement la prĂ©cision de la mise en correspondance des spots, notamment pour des images 2DGE prĂ©sentant des distorsions complexes et importantes. De mĂȘme, une mĂ©thode de recalage non-linĂ©aire d images 2DGE a Ă©tĂ© dĂ©veloppĂ©e. Elle est basĂ©e sur le modĂšle de dĂ©formation TPS en intĂ©grant le principe d attraction et le modĂšle de dĂ©formation spĂ©cifique Ă  l Ă©lectrophorĂšse bidimensionnelle. Dans cette mĂ©thode de recalage non-linĂ©aire, une combinaison de la mise en correspondance prĂ©cise des spots avec la transformation de TPS (ADIP-TPS) et la dĂ©formation sourire spĂ©ciale, a Ă©tĂ© identifiĂ©e comme Ă©tant en mesure de remplir les exigences de recalage d images 2DGE. Les rĂ©sultats que nous avons obtenus confirment l intĂ©rĂȘt d un choix judicieux de l information sur le pattern de spots et montrent l impact de la mĂ©thode proposĂ©e sur la qualitĂ© du recalage. En gĂ©nĂ©rale, cette mĂ©thode proposĂ©e amĂ©liore de maniĂšre significative la prĂ©cision de recalage par rapport aux techniques traditionnelles, et suggĂšre son utilisation prometteuse dans l analyse pratique des images 2DGE en protĂ©omique.The objective of this thesis is to develop image modeling and processing methods for two-dimensional gel electrophoresis (2DGE) images. We study more particularly a number of problems related to the registration of 2DGE images. In this framework, we have proposed a novel approach of pairing or matching spots in 2DGE images. The approach is based on the principle of attraction, and allows accurately detecting more matching spots. It is based on the simultaneous exploitation of several types of information such as spot distance, spot intensity and spot pattern. The results on both simulated and real 2DGE images show that spot pattern information plays an important role in the process of spots matching and can greatly improve the accuracy of the matching, especially on images with complex distortions. Meanwhile, a non-linear image registration method for 2DGE images has been developed. This method is based on the TPS deformation model by integrating the principle of attraction and a deformation model specific to 2DGE. In this non-linear image registration method, the combination of accurate spot matching with the TPS transformation and special "smile" distortion has been shown to be able to meet the registration requirements of 2DGE images. The results we obtained confirm the interest of choosing spot pattern information, and show the impact of the proposed method on the quality of registration. In general, the proposed automatic method significantly improves the accuracy of registration compared to traditional registration techniques, and suggests its promising use in practical 2DGE image analysis in proteomics.VILLEURBANNE-DOC'INSA LYON (692662301) / SudocSudocFranceF

    A Comparative Study of Adaptive Registration Methods for Two Dimensional Gel Electrophoresis Images.

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    International audienceTwo-dimensional gel electrophoresis (2DGE) images play a major role in techniques for protein separation. The registration of 2DGE images is considered as one of key elements in protein identification. This paper proposes a single adaptive registration scheme for 2DGE images. Within the scheme, three registration methods based on the combined use of global linear affine and local nonlinear thin-plate spline (TPS), Demons, B-spline algorithms are explored and compared. The results show that the method using multi-resolution B-spline is preferred
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