心理干预联合音乐疗法在腹部核磁共振扫描护理中的应用 效果研究

Objective: To investigate the effectiveness and significance of the Psychological intervention combined with music therapy in abdominal MRI examination. Methods: 230 cases who underwent abdominal MRI examination between 2010 January and 2012 December were collected. They were divided into three groups randomly: routine nursing group, Psychological intervention group and music therapy group. Differences in age, gender, educational level, blood pressure and heart rate were compared between the three groups; To analyze the changes of vital signs after MRI examination, MRI examination results , psychological reaction before and after MRI examination of the three groups. Results: (1)There was no significant difference in the general information (P>0.05); (2)The heart rate, respiration and blood pressure after MRI examination of patients with routine nursing increased significantly than the other two groups. And psychological nursing group was higher than the music therapy group to some extent;The MRI detection time of routine nursing group was significantly longer than the other two groups (P <0.05); (3)The one-time completion rate of the last two groups was significantly higher than the routine nursing  group (P <0.05), and music therapy group was significantly higher than that of the psychological intervention group.The adverse psychological reaction in Psychological intervention group was significantly decreased compared with routine nursing group; and music therapy group decreased significantly compared with the psychological  intervention  group (P <0.05); (4)Although the anxiety / depression score of psychological  intervention  group increased slightly ,but it significantly lower than the usual care group (P <0.05); The anxiety / depression scores of music therapy group were significantly decreased, significantly lower than the other two groups (P <0.05). Conclusion: Psychological nursing combined with music therapy is a good way to eliminate the patient's fear and anxiety, reduce their adverse reaction, help them successfully complete the MRI inspection, and we can receive satisfactory examination results.目的  探讨心理干预联合音乐疗法在腹部核磁共振扫描护理中的应用效果及意义。方法  收集2010年1月—2012年12月来聊城市人民医院行腹部MRI 扫描检查的患者共230例。将其随机分为三组: 常规护理组、心理干预组及音乐疗法组。比较三组患者在年龄、性别、文化程度、血压和心率的差异；分析三组患者MRI检查后生命体征变化、MRI检查完成情况以及MRI检查前后的心理反应测试结果有无统计学差异。结果  （1）三组患者在年龄、性别、文化程度、血压、心率等一般资料比较上无显著性差异（P>0.05）；（2） MRI检查结束后常规护理组患者的心率、呼吸以及血压与心理干预组和音乐疗法组相比明显增加。且心理干预组与音乐疗法组相比，心率、血压和呼吸均有一定程度的升高；常规护理组完成MRI检测的时间明显长于心理干预组与音乐疗法组（P<0.05）；（3）心理干预组和音乐治疗组患者MRI检查一次性完成率均显著高于常规护理组（P<0.05），且音乐治疗组的完成率明显高于心理干预组。心理干预组患者在MRI检查时不良心理反应率较常规护理组明显下降；音乐治疗组不良心理反应率较心理干预组明显下降（P<0.05）；（4）心理干预组在MRI检查后虽然焦虑/抑郁评分较MRI检查前轻度增加，但明显低于常规护理组（P<0.05）；而音乐疗法组的焦虑/抑郁评分较前明显下降，明显低于心理干预组和常规护理组（P <0.05）。结论  心理干预联合音乐疗法，可以很好的消除患者的恐惧和焦虑情绪，使患者积极配合MRI检查，减少不良反应，提高检查成功率，获得满意的检查效果

DBMLoc: a Database of proteins with multiple subcellular localizations

<p>Abstract</p> <p>Background</p> <p>Subcellular localization information is one of the key features to protein function research. Locating to a specific subcellular compartment is essential for a protein to function efficiently. Proteins which have multiple localizations will provide more clues. This kind of proteins may take a high proportion, even more than 35%.</p> <p>Description</p> <p>We have developed a database of proteins with multiple subcellular localizations, designated DBMLoc. The initial release contains 10470 multiple subcellular localization-annotated entries. Annotations are collected from primary protein databases, specific subcellular localization databases and literature texts. All the protein entries are cross-referenced to GO annotations and SwissProt. Protein-protein interactions are also annotated. They are classified into 12 large subcellular localization categories based on GO hierarchical architecture and original annotations. Download, search and sequence BLAST tools are also available on the website.</p> <p>Conclusion</p> <p>DBMLoc is a protein database which collects proteins with more than one subcellular localization annotation. It is freely accessed at <url>http://www.bioinfo.tsinghua.edu.cn/DBMLoc/index.htm</url>.</p

4-[(E)-(4-Fluoro­benzyl­idene)amino]­phenol

In the title compound, C13H10FNO, the dihedral angle between the aromatic rings is 55.60 (8)°. In the crystal, mol­ecules are linked by O—H—N hydrogen bonds, forming zigzag C(7) chains propagating in [101]

trans-Diaqua­bis[5-carb­oxy-4-carboxyl­ato-2-(4-pyridinio)-1H-imidazol-1-ido-κ2 N 3,O 4]iron(II)

In the title complex, [Fe(C10H6N3O4)2(H2O)2], the FeII atom is located on a twofold rotation axis and is coordinated by two trans-positioned N,O-bidentate and zwitterionic 5-carboxy-2-(pyridinium-4-yl)-1H-imidazol-1-ide-4-carboxylate H2PIDC− ligands and two water mol­ecules in a distorted environment. In the crystal packing, a three-dimensional network is constructed via hydrogen-bonding involving the water mol­ecules, uncoordinated imidazole N atom, protonated pyridine N and carboxyl­ate O atoms

ENU-Induced Mutagenesis in Grass Carp (Ctenopharyngodon idellus) by Treating Mature Sperm

N-ethyl-N-nitrosourea (ENU) mutagenesis is a useful approach for genetic improvement of plants, as well as for inducing functional mutants in animal models including mice and zebrafish. In the present study, mature sperm of grass carp (Ctenopharyngodon idellus) were treated with a range of ENU concentrations for 45 min, and then wild-type eggs were fertilized. The results indicated that the proportion of embryos with morphological abnormalities at segmentation stage or dead fry at hatching stage increased with increasing ENU dose up to 10 mM. Choosing a dose that was mutagenic, but provided adequate numbers of viable fry, an F1 population was generated from 1 mM ENU-treated sperm for screening purposes. The ENU-treated F1 population showed large variations in growth during the first year. A few bigger mutants with morphologically normal were generated, as compared to the controls. Analysis of DNA from 15 F1 ENU-treated individuals for mutations in partial coding regions of igf-2a, igf-2b, mstn-1, mstn-2, fst-1and fst-2 loci revealed that most ENU-treated point mutations were GC to AT or AT to GC substitution, which led to nonsense, nonsynonymous and synonymous mutations. The average mutation rate at the examined loci was 0.41%. These results indicate that ENU treatment of mature sperm can efficiently induce point mutations in grass carp, which is a potentially useful approach for genetic improvement of these fish

Roles of Pro- and Anti-Inflammatory Cytokines in the Pathogenesis of SLE

SLE is an autoimmune inflammatory disease in which various pro- and anti-inflammatory cytokines, including TGF-β, IL-10, BAFF, IL-6, IFN-α, IFN-γ, IL-17, and IL-23, play crucial pathogenic roles. Virtually, all these cytokines can be generated by both innate and adaptive immune cells and exert different effects depending on specific local microenvironment. They can also interact with each other, forming a complex network to maintain delicate immune homeostasis. In this paper, we elaborate on the abnormal secretion and functions of these cytokines in SLE, analyze their potential pathogenic roles, and probe into the possibility of them being utilized as targets for therapy

An Empirical Study of Classifier Combination on Cross-Project Defect Prediction

Abstract—To help developers better allocate testing and de-bugging efforts, many software defect prediction techniques have been proposed in the literature. These techniques can be used to predict classes that are more likely to be buggy based on past history of buggy classes. These techniques work well as long as a sufficient amount of data is available to train a prediction model. However, there is rarely enough training data for new software projects. To deal with this problem, cross-project defect prediction, which transfers a prediction model trained using data from one project to another, has been proposed and is regarded as a new challenge for defect prediction. So far, only a few cross-project defect prediction techniques have been proposed. To advance the state-of-the-art, in this work, we investigate 7 composite algorithms, which integrate multiple machine learning classifiers, to improve cross-project defect prediction. To evaluate the performance of the composite algorithms, we perform exper-iments on 10 open source software systems from the PROMISE repository which contain a total of 5,305 instances labeled as defective or clean. We compare the composite algorithms with CODEPLogistic, which is the latest cross-project defect prediction algorithm proposed by Panichella et al. [1], in terms of two standard evaluation metrics: cost effectiveness and F-measure. Our experiment results show that several algorithms outperform CODEPLogistic: Max performs the best in terms of F-measure and its average F-measure outperforms that of CODEPLogistic by 36.88%. BaggingJ48 performs the best in terms of cost effectiveness and its average cost effectiveness outperforms that of CODEPLogistic by 15.34%