An Epistaxis Emergency Associated with Multiple Pollutants in Elementary Students

Emergencies of epistaxis in students caused by environmental pollution have rarely been reported to date. This study aimed to explore the cause of an emergency of epistaxis in elementary students by using a field epidemiological investigation. Twenty-two epistaxis cases from a single school with differences in gender, age, and classroom,were diagnosed within a period of 7 days. The air concentration of chromic acid mist （Cr6~） in the electroplating factory area, new campus, and residential area exceeded the limit of uncontrolled emissions. The emission of HCL and HzSO4was also observed. Formaldehyde levels in the classrooms exceeded the limits of indoor air quality. Abnormal nasal mucosa was significantly more frequent in the case group （93.3%） and control group 1 （of the same school） （66.7%） than in control group 2 （from a mountainous area with no industrial zone） （34.8%; P 〈 0.05 and P 〈 0.01, respectively）. On the basis of the pre-existing local nasal mucosal lesions, excessive chromic acid mist in the school＇s surrounding areas and formaldehyde in the classrooms were considered to have acutely irritated the nasal mucosa, causing epistaxis. Several lessons regarding factory site selection, eradication of chemical emissions, and indoor air quality in newly decorated classrooms, should be learned from this emergency.

Tracking a maneuvering target in clutter with out-of-sequence measurements for airborne radar

There are many proposed optimal or suboptimal al- gorithms to update out-of-sequence measurement（s） （OoSM（s）） for linear-Gaussian systems, but few algorithms are dedicated to track a maneuvering target in clutter by using OoSMs. In order to address the nonlinear OoSMs obtained by the airborne radar located on a moving platform from a maneuvering target in clut- ter, an interacting multiple model probabilistic data association （IMMPDA） algorithm with the OoSM is developed. To be practical, the algorithm is based on the Earth-centered Earth-fixed （ECEF） coordinate system where it considers the effect of the platform＇s attitude and the curvature of the Earth. The proposed method is validated through the Monte Carlo test compared with the perfor- mance of the standard IMMPDA algorithm ignoring the OoSM, and the conclusions show that using the OoSM can improve the track- ing performance, and the shorter the lag step is, the greater degree the performance is improved, but when the lag step is large, the performance is not improved any more by using the OoSM, which can provide some references for engineering application.

Variants in the promoter region of CYP7A1 are associated with neuromyelitis optica but not with multiple sclerosis in the Han Chinese population

Multiple sclerosis（MS）and neuromyelitis optica（NMO）are common autoimmune demyelinating disorders of the central nervous system.The exact etiology of each remains unclear.CYP7A1was reported to be associated with NMO in Korean patients,but this is yet to be confirmed in other populations.In this study,we used Sanger sequencing to detect SNPs in the promoter region of CYP7A1 in a population consisting of unrelated patients and controls from the Han Chinese population（129 MS;89 NMO;325 controls）.Two known SNPs,204A〉C（rs3808607）and 469T〉C（rs3824260）,and a novel SNP（208G〉C）were identified in the 5＇-UTR of CYP7A1.The 204A〉C was in complete linkage with 469T〉C and both were associated with NMO but not with MS.Results suggest that the CYP7A1 allele was associated with NMO.NMO and MS have different genetic risk factors.This further supports the emerging evidence that MS and NMO are distinct disorders.

Passive bearings-only target motion analysis based on association of multiple arrays

The method for Bearings-Only Target Motion Analysis (BO-TMA) based on bearing measurements fusion of two arrays is studied. The algorithms of pseudolinear processing, extended Kalman filter and maximum likelihood estimation are presented. The results of simulation experiments show that the BO-TMA method based on association of multiple arrays not only makes contributions towards eliminating maneuvers needed by bearings-only TMA based on single array,but also improves the stabilization and global convergence for varied estimation algorithms.

Variants of Interferon Regulatory Factor 5 are Associated with Neither Neuromyelitis Optica Nor Multiple Sclerosis in the Southeastern Han Chinese Population

Background： Neuromyelitis optica （NMO） and multiple sclerosis （MS） are demyelinating disorders of the central nervous system. Interferon regulatory factor 5 （IRF5） is a common susceptibility gene to different autoimmune disorders. However, the association of IRF5 variants with NMO and MS patients has not been well studied. Therefore, we aimed to evaluate whether IRF5 variants were associated with NMO and MS in the Southeastenl Han Chinese population. Methods： Four single nucleotide polymorphisnls （SNPs） were selected and genotyped by matrix-assisted laser desorption/ionization time of flight mass spectrometry in 111 NMO patients, 145 MS patients and 300 controls from Southeastern China. Results： None of these 4 SNPs was associated with NMO or MS patients. Conclusions： Our preliminary study indicates that genetic variants in IRI~ may affect neither NMO nor MS in the Southeastern Han Chinese population. Further studies with a large sample size and diverse ancestry populations are needed to clarify this isstie.

Multiple analyses indicate the specific association of NR1I3,C6 and TNN with low hip BMD risk

Low hip bone mineral density(BMD)is an important index for osteoporosis and is associated with hip fracture,which leads to more cases of disability and mortality than all other kinds of fractures(Kanis et al.,2007).BMD’s heritability is more than 60%(Arden et al.,1996).A number of candidate loci for BMD have been previously identified by Genome Wide Association Studies(GWAS)(Xiong et al.,2009;Karasik et al.,2010;Zhang et al.,2013).Nevertheless,many significant signals based on GWAS are

Dual Lie bialgebra structures of Poisson types

Let A = F [x, y] be the polynomial algebra on two variables x, y over an algebraically closed field F of characteristic zero. Under the Poisson bracket, A is equipped with a natural Lie algebra structure. It is proven that the maximal good subspace of A* induced from the multiplication of the associative commutative algebra A coincides with the maximal good subspace of A* induced from the Poisson bracket of the Poisson Lie algebra A. Based on this, structures of dual Lie bialgebras of the Poisson type are investigated. As by-products,five classes of new infinite-dimensional Lie algebras are obtained.