Association between Macroscopic-factors and Identified HIV/AIDS Cases among Injecting Drug Users: An Analysis Using Geographically Weighted Regression Model

Drug use （DU）, particularly injecting drug use （IDU） has been the main route of transmission and spread of Human Immunodeficiency Virus （HIV）/Acquired Immune Deficiency Syndrome （AIDSJ among injecting drug users （IDUs）[1]. Previous studies have proven that needles or cottons sharing during drug injection were major risk factors for HIV/AIDS transmission at the personal level[z4]. Being a social behavioral issue, HIV/AIDS related risk factors should be far beyond the personal level. Therefore, studies on HIV/AIDS related risk factors should focus not only on the individual factors, but also on the association between HIV/AIDS cases and macroscopic-factors, such as economic status, transportation, health care services, etc[1]. The impact of the macroscopic-factors on HIV/AIDS status might be either positive or negative, which are potentially reflected in promoting, delaying or detecting HIV/AIDS epidemics.

Risk Analysis of Sulfites Used as Food Additives in China

This study was to analyze the risk of sulfites in food consumed by the Chinese people and assess the health protection capability of maximum-permitted level （MPL） of sulfites in GB 2760-2011. Sulfites as food additives are overused or abused in many food categories. When the MPL in GB 2760-2011 was used as sulfites content in food, the intake of sulfites in most surveyed populations was lower than the acceptable daily intake （ADI）. Excess intake of sulfites was found in all the surveyed groups when a high percentile of sulfites in food was intaken. Moreover, children aged 1-6 years are at a high risk to intake excess sulfites. The primary cause for the excess intake of sulfites in Chinese people is the overuse and abuse of sulfites by the food industry. The current MPL of sulfites in GB 2760-2011 protects the health of most populations.

Combination Use of PFGE and Drug-resistant Analysis in the Epidemiological Investigation of Listeria Monocytogenes

Listeria monocytogenes is the pathogen of listeriosis and it causes severe infections like septicemia, encephalitis, and meningitis, especially in immunocompromised individuals, newborns, and pregnant women. Its wide distribution in the environment and ability to survive or even grow under adverse conditions has made L. monocytogenes an important public health concern and in food industry.

Cases analysis of rational use of medicine (31) Nongonococcal urethritis(NGU)

1.Patient's conditionsA 29-year-old man,was infected with nongonococcal urethritis(NGU).He complained that he had dysuria and discomfort in the urethra and mucopurulent discharge,which appeared one week after intercourse.

Analysis of Household Use of Traditional Fuels and Possible Contribution to Deforestation in Kisii County, Kenya

A large majority of Kenyans still rely on traditional fuels to meet their domestic cooking needs. The demand for traditional biomass is therefore likely to increase in the coming decades as long as they remain the most readily available and affordable in comparison to modern energy options. This research sought to analyze the household use of traditional fuels and its possible contribution to deforestation in Kisii County. The willingness of respondents to adopt alternative biofuels and energy efficient stoves and barriers encountered were also assessed. Two structured questionnaires that contained both open and close-ended questions were administered to 436 households and 40 wood fuel sellers respectively. Analysis of variance and regression analysis were used to analyze the alternative hypotheses of the study. It was established that the use of charcoal was the most prevalent compared to other fuels. Household consumption of traditional fuels contributed to an estimated loss of 39 ha of forest cover per annum. However, since 89.7% of the wood fuel used was sourced from other counties, the loss of biomass did not occur in Kisii County. Given a chance, about 63% of the respondents were willing to adopt alternative biofuels and energy efficient stoves. However, the greatest barrier to the adoption of these alternatives was the high cost of purchase. Other barriers identified included lack of government support and unwillingness to let go of traditional cooking practices. It was recommended that the Kenyan government and other stakeholders should promote local technologies for producing energy efficient stoves to make them more affordable to the populace.

Prioritization of Sub-Watersheds in Ruparel Watershed, Rajasthan Based on Morphometric and Land Use/Land Cover Analysis Using Remote Sensing and GIS

Watershed prioritization is considered as the most significant aspect in watershed resource management and development program. The present work attempts to prioritize seventeen sub-watersheds in Ruparel watershed of Alwar district of Rajasthan, India. For prioritization of sub-watersheds, morphometric and land use/land cover (LULC) analysis were performed using remote sensing and GIS. Base map of the study area has been derived from SOI toposheet on 1:50,000 scale whereas LULC mapping was done using IRS P6 LISS III data. Standard methods for drainage morphometry have been followed for computing morphometric parameters such as linear and shape for seventeen sub-watersheds and allotted ranks based on their relationship with erodibility and a compound value has been calculated for final ranking. Five main LULC categories were computed and were assigned priority ranks and subsequently a compound parameter was determined for final ranking. Integration of both morphometric and LULC results reveal that SBW5, SBW7, SBW12 and SBW16 are the common sub-watersheds that fall under high priority, SBW3 falls under Medium category and SBW11 comes under low priority. The results of the analysis can be used to identify the sub-watersheds which need immediate restoration and will eventually help in watershed resource management for sustainable development.

Denoising Nonlinear Time Series Using Singular Spectrum Analysis and Fuzzy Entropy

We present a hybrid singular spectrum analysis （SSA） and fuzzy entropy method to filter noisy nonlinear time series. With this approach, SSA decomposes the noisy time series into its constituent components including both the deterministic behavior and noise, while fuzzy entropy automatically differentiates the optimal dominant components from the noise based on the complexity of each component. We demonstrate the effectiveness of the hybrid approach in reconstructing the Lorenz and Mackey--Class attractors, as well as improving the multi-step prediction quality of these two series in noisy environments.

Assessment of glaucoma using extreme learning machine and fractal feature analysis

Dear Sir,Iam Dr.Kavitha S,from the Department of Electronics and Communication Engineering,Nandha Engineering College,Erode,Tamil Nadu,India.I write to present the detection of glaucoma using extreme learning machine(ELM)and fractal feature analysis.Glaucoma is the second most frequent cause of permanent blindness in industrial

An Analysis of Mutual Interference in Radar Systems Using Dual-Band (Ka / X) Antennas

An analysis of mutual interfering sources on RF systems using dual-band (Ka / X) radar is presented. The purpose of this paper is to improve operational performance of the system from the point of view of EMC design. The experimental dual-band antenna system have decreased the disturbing effects of most mutual interfering sources.

Some Experiments with Multivariate Objective Analysis Scheme of Heights and Winds Using Optimum Interpolation

A two-dimensional, multitvariate objective analysis scheme for simultaneous analysis of geopotential height and wind fields has been developed over Indian and adjoining region for use in numerical weather prediction. The height-height correlations calculated using daily data of four July months (1976-1979), are used to derive the other autocorrelations and cross-correlations assuming geostropic relationship. A Gaussian function is used to model the autocorrelation function. Since the scheme is multivariate the regression coefficients (weights) are matrix.Near the equator, the geostrophic approximation relating mass and wind is decoupled in a way similar to Bergman (1979). The objective analyses were made over Indian and adjoining region for 850, 700, 500, 300 and 200 hPa levels for the period from 4 July to 8 July 1979, 12 GMT. The analyses obtained using multivariate optimum interpolation scheme depict the synoptic situations satisfactorily. The analyses were also compared with the FGGE analyses (from ECMWF) and also with the station observations by computing the root mean square (RMS) errors and the RMS errors are comparable with those obtained in other similar studies.

Gene targeted and immune therapies for nodal and gastrointestinal follicular lymphomas

Follicular lymphoma(FL)is the most common indolent B-cell lymphoma(BCL)globally.Recently,its incidence has increased in Europe,the United States,and Asia,with the number of gastrointestinal FL cases expected to increase.Genetic abnormalities related to t(14;18)translocation,BCL2 overexpression,NF-κB pathway-related factors,histone acetylases,and histone methyltransferases cause FL and enhance its proliferation.Meanwhile,microRNAs are commonly used in diagnosing FL and predicting patient prognosis.Many clinical trials on novel therapeutics targeting these genetic abnormalities and immunomodulatory mechanisms have been conducted,resulting in a marked improvement in therapeutic outcomes for FL.Although developing these innovative therapeutic agents targeting specific genetic mutations and immune pathways has provided hope for curative options,FL treatment has become more complex,requiring combinatorial therapeutic regimens.However,optimal treatment combinations have not yet been achieved,highlighting the importance of a complete understanding regarding the pathogenesis of gastrointestinal FL.Accordingly,this article reviews key research on the molecular pathogenesis of nodal FL and novel therapies targeting the causative genetic mutations.Moreover,the results of clinical trials are summarized,with a particular focus on treating nodal and gastrointestinal FLs.

Performance analysis of source ranging by use of virtual receiver technique under different frequency bands

The traditional matched field processing localization need complicated computation to get the replica field and has high dependence on environment parameters and acoustic field model. To overcome the shortcoming, virtual receiver technique is used for source ranging. A virtual receiver is constructed by correlating the two signals of the guide source and the objective source received by a vertical line array. Then, the slope of the interference striation of the virtual field is estimated using relevant signal processing method. Combining with the waveguide invariant/3, the range of the objective source is determined. Through the numerical simulations and data processing collected from the experiment carried out in the South China Sea in 2004, the virtual receiver technique for broadband source ranging under the slope- bottom shallow water environment is discussed. As the frequency increases, the frequency bands should be broadened to obtain complete interference striation for good ranging results. In data processing, the receiving array spacing is too large to promise the orthogonality of the modes as the frequency increases and ranging results become worse.

Noise reduction in LOS wind velocity of Doppler lidar using discrete wavelet analysis

The line of sight (LOS) wind velocity can be determined from the incoherent Doppler lidar backscattering signals. Noise and interference in the measurement greatly degrade the inversion accuracy. In this paper, we apply the discrete wavelet denoising method by using biorthogonal wavelets and adopt a distance-dependent thresholds algorithm to improve the accuracy of wind velocity measurement by incoherent Doppler lidar. The noisy simulation data are processed and compared with the true LOS wind velocity. The results are compared by the evaluation of both the standard deviation and correlation coefficient. The results suggest that wavelet denoising with distance-dependent thresholds can considerably reduce the noise and interfering turbulence for wind lidar measurement.

Numerical analysis on thermoacoustic engine using network method

The network method for modeling thermoacoustic engines is described. Some simulation results on acoustic fields and phases in engine, especially in the thermoacoustic stack are presented and analyzed. The effects of some key factors on performance of stack and engine system are simulated and discussed. These effect factors include the spaces of plates of stack, the position of stack in engine system, the source parameter of stack, and the mean working pressure of the engine system.

Image registration based on matrix perturbation analysis using spectral graph

We present a novel perspective on characterizing the spectral correspondence between nodes of the weighted graph with application to image registration. It is based on matrix perturbation analysis on the spectral graph. The contribution may be divided into three parts. Firstly, the perturbation matrix is obtained by perturbing the matrix of graph model. Secondly, an orthogonal matrix is obtained based on an optimal parameter, which can better capture correspondence features. Thirdly, the optimal matching matrix is proposed by adjusting signs of orthogonal matrix for image registration. Experiments on both synthetic images and real-world images demonstrate the effectiveness and accuracy of the proposed method.

Transcriptome Sequencing and de novo Analysis for Oviductus Ranae of Rana chensinensis Using Illumina RNA-Seq Technology

Oviductus Ranae is the dried oviduct of female Rana tem-poraria chensinensis （David）, distributed mainly in North- eastern China. Oviductus Ranae is one of the best-known and highly valued oriental foods and medicines. Traditional Chinese medicine holds that Oviductus Ranae can nourish yin, moisten lung and replenish the kidney essence. Meanwhile, activities of Oviductus Ranae such as anti-aging, anti-lipemic, anti-oxidation and anti-fatigue have also been demonstrated by modern phar-macological studies. Previous studies have shown that Oviductus Ranae is mainly composed of proteins, which are up to 50% or more.

Qualitative and quantitative analysis of atmospheric methanol using a continuous-wave terahertz spectrometer

We present a specific-window method to subtract the interference of water vapor on terahertz frequency-domain spectroscopy（THz-FDS） at ambient temperature and pressure. A continuous-wave spectrometer based on photomixing was utilized to obtain THz-FDS of methanol vapor in the range of 50–1200 GHz. The distinctly spaced absorption features in the neighborhood of atmospheric windows of transparency were selected to perform linear fitting versus the calculated absorption cross section and obtain the concentration of methanol. Furthermore, the gradually decreased methanol vapor was quantified to demonstrate the reliability of the method.

Modeling and acoustic analysis of irregular sound enclosure by using Chebyshev-variational method

A modeling method for irregular sound enclosures was proposed based on the Chebyshev-variational theory. A rectangular space was first assumed to bound the irregular sound space and the sound pressure in the rectangular space expressed as a triple-Chebyshev series. Next, a coordinate transformation was performed and the Lagrangian functional of the irregular sound space obtained. Finally, the Lagrangian functional was solved under the Ritz method framework, and the enclosure＇s acoustic characteristic equation deduced and the eigenpairs obtained. The accuracy of the present method was validated according to agreement between the present results and finite element results for an enclosure with a curved surface.Furthermore, the acoustic characteristics of a trapezoidal enclosure and an enclosure with an inner groove were investigated. The results showed that the mode shapes of the trapezoidal sound space changed with increased inclination angle and the natural frequencies, except the first order, of the sound space with a rectangular inner groove decreased with increased groove depth.

RAPD-based genetic analysis of offsprings from the sexual cross using allotetraploid citrus somatic hybrid as pollen parent

Thirty-one polymorphic decamer primers were selected to genotype 92 progenies from the cross be- tween Yiben No.4, a monoembryonic diploid F1 hybrid of Citrus reticulata Blanco cv Huanongbendizao tangerine and C. ichangensis Swingle, and [Hamlin sweet orange + Rough lemon], an allotetraploid somatic hybrid of Citrus sinensis Osbeck cv. Hamlin and C. jambhiri Lush cv. Rough Lemon. χ2 (Chi-square) analysis of RAPD markers in the progenies indicated they were randomly transmitted from the four donor parents, without significant difference between the diploids and triploids. However, these progenies were clustered into three major groups using dendrogram constructed by UPGMA, skewed to three parents in certain degrees, 15 (13 triploids and 2 diploids) to Hamlin, 16 (9 and 7) to Yiben No. 4, and 61 (57 and 4) to [Hamlin sweet orange + Rough Lemon] from which genomic contribu- tion was predominant in progenies, respectively.

Analysis of VCSEL Array Module Using a Simple Microlens Array

A simple microlens array is designed between VCSEL array and fiber array for integration of array module. We increase the optical coupling efficiency from -32.057 dBm to -0.9054 dBm by using our designed microlens array.