基于小波模极大原理的脉象特征提取研究

目的 根据小波分析原理，研究脉象特征提取方法，以有效解决基于时域或频域的传统方法所无法准确提取脉象特征的问题。方法 运用小波模极大方法进行脉象信号周期分割和基本分解，沿时间排列并符号化脉象波上升沿与下降沿的模极大特征点、脉象波谷底和波峰的模极大特征点。结果 确定了不明显的重搏前波、重搏波，以及在主波上升沿和下降沿上出现的不规则脉波，并进一步准确提取了脉象信号的多尺度特征和各种时域特征。结论 采用此方法进行脉象信号的特征点定位并进一步完成特征提取，具有简单、快速、准确等特点，为进一步进行脉象分类识别研究奠定了基础。     

克痛喷剂的质量标准研究

采用薄层色谱法对克痛喷剂中蟾酥、冰片、大黄、栀子、白芷进行定性鉴别；并应用气相色谱法对冰片的含量进行测定。实验结果证明方法简便，斑点圆整，重现性及专属性均好，可国该制剂的质量控制标准。     

用三参量模糊分析法识别潜水减压气泡信号的研究

目的 探讨潜水减压多普勒超声气泡信号的模糊识别方法。方法 根据气泡信号的频谱分布特征，构建f-f-△p三参量模糊算法，并通过减压病动物模型进行验证，同时对66例氦氧150m饱和-180m巡回潜水减压的数据进行检测。结果 在减压病动物模型中分别检测到I～Ⅱ级气泡(按Spencer分级标准)，气泡数量6～113个／3s内不等；在饱和潜水减压资料中，检测到1人两次有I级气泡音，气泡数量分别为3个(11s录音)与6个(17s录音)，与人工监听结果基本一致。结论 用三参量模糊分析方法充分借鉴了多年来人工分析所积累的经验，同时利用了计算机辅助分析技术，气泡信号的检测分析较为准确客观。     

Techniques in facial identification: Computer-aided facial reconstruction using a laser scanner and video superimposition

A facial image was reconstructed from the skull, part of a complete skeleton found in woodland, of a male person who had hanged himself from a tree. In addition, video superimposition was carried out with antemortem photographs of a person suspected of being the victim, and a good match was obtained. In a further case, a cheaper video-transparency superimposition was carried out, with identity later being confirmed on the basis of dental records. The techniques and the problems encountered are discussed. According to our experience, 3D computer reconstruction and video superimposition have a useful role in the process of identification, particularly in the early stages of an investigation and when other more definitive methods may not be available.     

Impaired Personal Boundaries: A Proposed Nursing Diagnosis

topic . How impaired personal boundaries play a significant role in mental illnesses and co-dependency.
purpose . To demonstrate the value of having a formal nursing diagnosis of "impaired personal boundaries."
source . A concept analysis of personal boundaries, which describes the physical, emotional, intellectual, and spiritual dimensions of personal boundaries.
conclusion . The author recommends a new nursing diagnosis of "impaired personal boundaries," which provides a basis for the plan of care for clients with this difficulty.     

Development of a real-time fluorescence resonance energy transfer PCR to identify the main pathogenic Campylobacter spp.

A simple real-time fluorescence resonance energy transfer (FRET) PCR, targeting the gyrA gene outside the quinolone resistance-determining region, was developed to identify Campylobacter jejuni and Campylobacter coli. These species were distinguished easily, as the corresponding melting points showed a difference of 15 degrees C. A second assay using the same biprobe and PCR conditions, but different PCR primers, was also developed to identify the less frequently encountered Campylobacter fetus. These assays were applied to 807 Campylobacter isolates from clinical specimens. Compared to phenotypic identification tests, the FRET assay yielded the same results for all except three of the isolates. Analysis by standard PCR and 16S rDNA sequencing demonstrated that two of these isolates were hippurate-negative C. jejuni strains, resulting in an erroneous phenotypic identification, while the third was an isolate of C. coli that contained a gyrA gene typical of C. jejuni, resulting in misidentification by the FRET assay. The FRET assay identified more isolates than standard PCR, which failed to yield amplification products with c. 10% of isolates. It was concluded that the FRET assays were rapid, reliable, reproducible and relatively cost-efficient, as they require only one biprobe and can be performed directly on boiled isolates.     

Identification of antigenic epitopes in the haemagglutinin protein of H7 avian influenza virus

ABSTRACT

The H7 subtype avian influenza virus (AIV) has been reported to infect not only poultry but also humans. The haemagglutinin (HA) protein is the major surface antigen of AIV and plays an important role in viral infection. In this study, five monoclonal antibodies (mAbs, 2F8, 3F6, 5C11, 5E2 and 5C12) against the HA protein of H7 virus were produced and characterized. Epitope mapping indicated that ¹⁰³RESGSS¹⁰⁷ was the minimal linear epitope recognized by the mAbs 2F8/3F6/5C11, and mAbs 5E2/5C12 recognized the epitope 103-145aa. The protein sequence alignment of HA indicated that the two epitopes were not found in other subtypes of AIV, and none of the five mAbs cross-reacted with other subtypes, suggesting these mAbs are specific to H7 virus. The epitope ¹⁰³RESGSS¹⁰⁷ was highly conserved among Eurasian lineage strains of H7 AIV, whereas three amino acid substitutions (E104R, E104K and E104G) in the epitope occurred in 98.44% of North-American lineage strains. Any of these single mutations prevented the mutated epitope from being recognized by mAbs 2F8/3F6/5C11; thus, these mAbs can distinguish between Eurasian and North-American lineages of H7 strains. Furthermore, the mAbs 2F8, 3F6 and 5C11 could be highly blocked with H7-positive serum in blocking assays, revealing that ¹⁰³RESGSS¹⁰⁷ may be a dominant epitope stimulating the production of antibodies during viral infection. These results may facilitate future investigations into the structure and function of HA protein, as well as surveillance and detection of H7 virus.

RESEARCH HIGHLIGHTS

• Five mAbs against HA protein of H7 AIV were generated and characterized.

• Two novel epitopes ¹⁰³RESGSS¹⁰⁷ and 103-145aa were identified.

• The epitope ¹⁰³RESGSS¹⁰⁷ differs between Eurasian and North-American lineages.

• The mAbs 2F8, 3F6 and 5C11 could distinguish two lineages of H7 strains.

     

Determination of rate-constants as a method to describe passive expiration

To describe the relaxed expiration by a two-compartment model, we introduced a gas/energy transfer between the lung compartment (V₁) and a second one (V₂). If V₂ were a real volume, the rate-constants (i.e. the flow/volume ratios) of the compartments would describe a real gas-exchange. Alternatively, if a viscoelastic behaviour of the lung or an energy-exchange between compartments was simulated, V₂ would become a "pseudo-volume". We studied nine mechanically ventilated subjects. Changes in volume were transduced by respiratory inductive plethysmography. The rate-constants were assumed (together with the initial volumes of the compartments) as parameters to fit the total volume [V₁(t)+V₂(t)]. Once the best fitting was performed using these "physiological" parameters, the system was directly identified and the compartments were independently analysed. The time profile of the second compartment showed a maximum that depended on the value of the rate-constants. Appropriate tests confirmed the reliability of our procedure. In conclusion, our analysis demonstrated that the energy/volume of the second compartment may increase at the beginning of expiration and then decrease, showing a maximum, even though the total curve can only be a decreasing one. In other words, the slowing down of the curve representing expiratory volume is due not only to the longer emptying of the second compartment, but also to the interaction between the two compartments. As presently proposed, this interaction can be represented by either a gas exchange between two actual volumes, or a mechanical energy transfer between the lung and the tissue compartment.     

Unique demographic situation in the United Arab Emirates

A method which optimizes on global properties of sample recordings is proposed for the definition of and the discrimination between electroencephalogram (EEG) classes. The sample was drawn from students at the University of Heidelberg from 1974 to 1978 and consists of 15 healthy index cases clinically ascertained as belonging to the low voltage EEG group. In addition, the three clinically defined groups: diffuse β (18 index cases), borderline α (12 index cases) and monomorphous α (18 index cases) have been included in the study, as well as the first degree relatives of the index cases, thus providing a clinical classification into four groups. The proposed method provides an automatic and reliable classification algorithm using discriminant and cluster analysis. The relation between such an automatized classification and clinical classification schemes is investigated. In particular, the inheritance of the low voltage, EEG, the question on sex differences and the question of a simple Mendelian mechanism had been examined. The method of random splittings had been applied for discriminant and cluster analysis. Our findings can be summarized as follows: (1) except for the monomorphous α EEG group, the clinical classification shows rather marginal separation (discriminating performance 60% to 75%), while a new and more reliable grouping scheme improves the discriminating performance up to 87% to 91%. The latter scheme leads to the concept of personal channel pattern (PCP) and was compared to the clinical classification scheme by means of contingency tables; (2) only a weak correlation between the clinically and PCP-based groups could be found (Cramér Index: 0.27). Accordingly, we continued to investigate the extent to which the proposed EEG classification scheme can nevertheless explain the genetic mechanisms apparently involved in the low voltage EEG. We thus considered the role of sex differences manifest in our proposed new grouping scheme; (3) males occurred more frequently in the new group 3 and females more frequently in the new group 1. In this regard, a much better correlation of the new groups between mothers and children than between fathers and children was observed; and (4) with help of our new PCP scheme, we have been able to reproduce a simple two gene Mendelian scheme to explain inheritance of the clinical low voltage EEG group. In this PCP-based scheme, the low voltage property does not occur when dominance of a certain gene (called gene A) is absent. © 1996 Wiley-Liss, Inc.