Study of fingerprint classification and their gender distribution among South Indian population

Identification of an individual plays a vital part of any medicolegal investigation. Fingerprint is considered to be the most accurate and reliable indicator in identification.The present study was conducted on 500 South Indian subjects to determine the individuality and the predominant fingerprint pattern among South Indian population. Two-hundred and fifty males and 250 females of South Indian origin were included for this study and rolled prints were taken from all the 10 digits and the same were stored on a proforma.The most frequent fingerprint pattern was ulnar loop in the total population, as well as in the sex wise distribution.     

血脂调节剂的研究——Ⅰ.HMG-CoA还原酶抑制剂M-8614A及MH-2688B产生菌的筛选

利用酶联免疫吸附测定法,酶标β-羟基β-甲基-戊二酸单酰铺酶A(HMG-CoA)还原酶抑制剂Compactin抗体,定向筛选血脂调节剂。从青霉M-8614菌株发酵液中分离到M-8614A。该物质理化性质及波谱解释表明与Mevastatin为同一物质。 M-8614菌株用亚硝酸盐等诱变剂处理,从诱变株MH-2688发酵液中分离到MH-2688B。该物质理化性质及波谱解释表明与Lovastatin为同一物质。     

食品中污染酵母菌的RAPD分类鉴定

目的探索采用RAPD技术对食品污染酵母进行分类鉴定的可行性。方法采用RAPD技术对从食品中分离到的22株污染酵母菌进行分子分型并以UPGMA法构建以上菌株的带型关系系统树状图。结果22株污染酵母菌总共扩增出11种不同的指纹图谱，经聚类分析可分为2个聚类群。结论RAPD技术可以作为一种有效、快速、简便的对污染酵母菌进行分类鉴定的手段。     

Vulvovaginal candidiasis among symptomatic women of childbearing age attended at a Medical Analysis Laboratory in Franceville,Gabon

BackgroundVulvovaginal candidiasis (VVC) is one of the most common lower genital tract infections in women; this unpleasant and extremely embarrassing pathology is one of the main reasons for gynaecological consultation. In Gabon, the prevalence of VVC remains poorly described even though VVC is known to be the leading gynaecological condition in several countries. This retrospective cross-sectional study sought to assess the prevalence of VVC among symptomatic women in southeastern Gabon.MethodsClinical samples were collected from patients suspected to have VVC during a 2-year period (from January 2016 to December 2017). Gram staining of vaginal smears provided indications of vaginal flora and confirmed the presence of yeast. Sabouraud-chloramphenicol and chromID Candida media were used to isolate yeast, and species identification was performed using morphological tests and the Vitek 2 Compact automated system.ResultsFor the 873 patients included in this study, the prevalence of VVC was 28.52%. Eleven Candida species were identified, with greater representation of Candida albicans (82.73%) than of Non C. albicans candida (NCAC) (17.27%), which were distributed as follows: Candida famata (4.02%), Candida spp. (3.61%), Candida rugosa (3.21%), Candida lipolytica (1.61%), Candida parapsilosis (1.61%), Candida glabrata (1.21%), Candida tropicalis (0.80%), Candida krusei (0.40%), Candida dubliniensis (0.40%), and Candida sphaerica (0.40%).ConclusionThis study offers the first estimation of VVC among Gabonese women in childbearing age with the symptoms. It showed that VVC is very common in Gabon. C. albicans as the most commonly represented species.     

腰骶部SPR术中脊神经前后根定位的应用解剖

目的：为ＳＰＲ提供可靠的术中脊神经前、后根鉴别的解剖学依据。方法：在２０例成人脊柱标本上,去除后部结构,暴露整个马尾神经,对Ｌ１～Ｓ２节段的前后根进行形态学观察和测量。结果：脊神经后根位于马尾的后半部,前根则位于前半部。脊神经后根较相应的前根粗大,后根从Ｌ１～Ｓ１逐渐增大,以Ｓ１为最粗大;前根则以Ｌ３最粗大。相应前后根出硬脊膜前,有一段相互贴附并紧贴硬脊膜侧壁。结论：在多椎板切除ＳＰＲ术中前、后根的定位及鉴别,暴露时可根据前、后根出硬脊膜前的相互贴附;在限制性椎板切除时则可通过脊髓外侧索和Ｌ１前、后根之间的最下端的齿状韧带加以鉴别     

New method to identify nociceptor units innervating glabrous skin of the human hand

Summary A new technique is described for detecting nociceptor activity in microelectrode recordings from cutaneous fascicles of the human median nerve. The search strategy involves combined intraneural microstimulation and microneurographic recording in intrafascicular sites, where a critically low electrical stimulus amplitude evokes a threshold sensation of pain. From the subject's projection of pain to a small area of skin, the experimenter is guided to receptive fields of recordable nociceptor units. This technique has allowed, for the first time, to identify and study receptive properties of very high threshold nociceptors with A and C fibres in the glabrous skin of the human hand.     

基因芯片技术检测鉴定临床常见致病真菌的初步研究

目的为了快速、简便、高通量地鉴定临床常见致病真菌,建立了一种采用基因芯片技术对临床常见的致病真菌鉴定的分子生物学方法。方法以5.8S rDNA与28S rDNA间的内转录间区2(internal transcribed spacer-2,ITS-2)为靶标,针对待检的临床常见致病真菌设计合成一系列寡核苷酸探针,制成寡核苷酸芯片。待检真菌DNA经通用引物扩增标记后,与芯片杂交,对杂交图谱分析归纳,得到一套种特异性的典型杂交图谱。待检的样品菌与基因芯片杂交,得到的杂交结果与典型图谱比对即可判断出样品的种类。结果以涉及8个属20个种的标准致病真菌菌株对芯片的特异性、重复性、灵敏度进行考察,结果表明,该研究建立的基因芯片技术可以有效地区分20种临床常见致病真菌,特异性良好,重复性良好(信噪比CV<10%),灵敏度为15 pg/ml真菌DNA。收集从临床分离的84株致病真菌菌株对基因芯片进行试用,结果显示基因芯片的鉴定结果与常规鉴定方法的鉴定结果一致。结论这项技术的建立可以稳定、特异性地实现临床常见致病真菌的高通量鉴定,为进一步检测研究奠定了基础。     

Nonlinearity identified by neural network models inP CO 2 control system in humans

The nonlinearity included in the P_{CO 2} control system in humans is evaluated using the degree of nonlinearity based on a difference of residuals. An autoregressive moving average (ARMA) model and neural networks (linear and nonlinear) are employed to model the system, and three types of network (Jordan, Elman and fully interconnected) are compared. As the Jordan-type linear network cannot approximate respiratory data accurately, the other two types and the ARMA model are used for the evaluation of the nonlinearity. The results of the evaluation indicate that the linear assumption for the P_{CO 2} control system is invalid for three subjects out of seven. In particular, strong nonlinearity was observed for two subjects.     

Two Methods for Identifying Wiener Cascades Having Noninvertible Static Nonlinearities

Two methods are proposed for identifying the component elements of a Wiener cascade that is comprised of a dynamic linear element (L) followed by a static nonlinearity (N). Both methods avoid potential problems of instability in a procedure presented by Paulin [M. G. Paulin, Biol. Cybern. 69: 67–76, 1993], which itself is a modification of a method described earlier by Hunter and Korenberg [I. W. Hunter and M. J. Korenberg, Biol. Cybern. 55: 135–144, 1996]. The latter method is a rapidly convergent iterative procedure that produces accurate estimates of the L and N elements from short data records, provided that the static nonlinearity N is invertible. Subsequently, Paulin introduced a modification that removed this limitation and enabled identification of Wiener cascades with nonmonotonic static nonlinearities. However, Paulin presented his modification employing an autoregressive moving average (ARMA) model representation for the dynamic linear element. To remove the possibility that the estimated ARMA model could be unstable, we recast the procedure by utilizing instead a rapid method for finding an impulse response representation for the dynamic linear element. However, in this form the procedure did not have good convergence properties, so we introduced two key ideas, both of which provide effective alternatives for identifying Wiener cascades whether or not the static nonlinearities therein are invertible. The new procedures are illustrated on challenging examples involving high-degree polynomial static nonlinearities, of odd or even symmetry, a high-pass linear element, and output noise corruption of 50%. © 1999 Biomedical Engineering Society. PAC99: 8710+e, 0210Nj, 0250-r     

A new multiplex PCR for easy screening of methicillin-resistant Staphylococcus aureus SCCmec types I–V

A multiplex PCR with four primer-pairs was designed to identify the five main known SCCmec types. A clear and easily discriminated band pattern was obtained for all five types. The SCCmec type was identified for 98% of 312 clinical isolates of methicillin-resistant Staphylococcus aureus (MRSA). SCCmec type IV was by far the most common SCCmec type among both hospital- and community-acquired MRSA isolates in Denmark.