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Background: The survival rate of neonatal giant omphaloceles has improved over the past 10 years, but the mortality rate remains at approximately 50% with traditional treatment. Delivery room surgery refers to a surgical procedure that is performed in the operating room to correct the structural defects of a newborn immediately after birth. Objectives: This study aimed to investigate the application of delivery room surgery for giant omphaloceles in East China. Methods: Neonates meeting the inclusion criteria of having omphalocele defects larger than 5 cm or of having most of the liver protruding into the sac were enrolled in this retrospective study. Data were evaluated specifically to determine the role of delivery room surgery in reducing the mortality of newborns with giant omphaloceles (GOs) and to identify factors that could optimize the conditions for traditional operations. A total of 52 newborns with GOs from two tertiary centres of paediatric surgery were identified. The patients were divided into two groups, the delivery room surgery group (group D) and the traditional operation group (group T), based on the perinatal management and time of surgery. Results: There was a significantly higher survival rate in the group D (77.8%) than in the group T (50%). The duration of ventilator use was 8.87 ± 10.12 days in the group D and 9.31 ± 7.75 days in the group T. The time of starting enteral nutrition was 12.88 ± 4.19 days in the group D and 16.75 ± 8.59 days in the group T. Newborns in the group T took more time to reach full enteral feeding. However, we did not find a significant difference in a comparison of the hospitalization time between the two groups (25.1 ± 18.1 days in the group D and 22.4 ± 11.1 days in the group T). Conclusions: The strategy of delivery room surgery appears to improve the survival of newborns with GOs and reduce family burden. A further reduction in mortality rates will depend on promoting the application of the delivery room surgical procedure.

This paper proposed a method that combines wavelet entropy with particle swarm optimized support vector machine to detect hearing loss (HL). The dataset for this task contains 75 images: 25 healthy controls, 25 left-sided hearing loss patients, and 25 right-sided hearing loss patients. The results shows that our method has higher accuracy than some traditional method. The sensitivities over healthy control, left-sided HL patients, and right-sided HL patients are 85.20± 3.79, 85.20± 4.64, and, 86.40± 5.06, respectively. The overall accuracy is 85.60± 0.84.

// Xia Lingzi 1, 2 , Yin Zhihua 1, 2 , Li Xuelian 1, 2 , Ren Yangwu 1, 2 , Zhang Haibo 3 , Zhao Yuxia 4 , Zhou Baosen 1, 2 1 Department of Epidemiology, China Medical University, Shenyang, Liaoning, 110122, Peoples R China 2 Key Laboratory of Cancer Etiology and Prevention, China Medical University, Liaoning Province Department of Education, Shenyang, Liaoning, 110122, Peoples R China 3 Department of Radiotherapy, Shenyang North Hospital, Shenyang, Liaoning, 110001, Peoples R China 4 Department of Radiotherapy Oncology, The Fourth Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, Peoples R China Correspondence to: Zhou Baosen, email: bszhou@mail.cmu.edu.cn Keywords: miRNA, SNP, lung cancer, prognosis, Chinese Received: March 22, 2016 Accepted: October 17, 2016 Published: November 04, 2016 ABSTRACT To investigate the prognostic effect of microRNA single nucleotide polymorphisms (SNP) on non-small cell lung cancer (NSCLC) patients, 658 female participants from northeast China were enrolled in our prospective cohort study and followed up from 2010 to 2015. C-containing genotypes of miR-149 rs2292832 were associated with better overall survival (OS). The joint effect of miR-149 and miR-196a2 and the joint effect of miR-149 and miR-608 were also observed in our study. To verify the function of miR-149 rs2292832, A549 cell lines were stably transfected with lenti-virus containing miR-149-C vector, miR-149-T vector and empty vector. Cells containing C allele assumed a higher expression level of miR-149, a decrease in cell growth and the sensitivity to anticancer drug when compared with cells containing T allele. The role of miR-149 playing in cancer prognosis may function through DNA topoisomerases 1 (TOP1) pathway, according to the results from luciferase reporter assays. In conclusion, miR-149 C allele may be a prognostic biomarker for better NSCLC OS.

In order to alleviate the effect of randomness and intermittent of wind power output on safe and stable operation of the power grid and improve system consumptive wind power capacity, the paper introduce carbon emissions trading and energy storage systems to construct the collaborative scheduling optimization model of wind power and energy storage system based on the energy generation scheduling optimization model of wind power and thermal power. Then, 10 thermal power and 2800MW wind farms constitute simulation systems to analyze the impact of carbon trading and energy storage systems on system wind power consumptive capacity. Numerical example shows: The introduction of carbon trading can increase wind power capacity and reduce coal consumption systems; the introduction of the energy storage system can gentle wind power output, suppress power fluctuations; While, system optimization results achieve the best when carbon trading and energy storage systems are introduced at the same time.

Meckel diverticulum is the most prevalent congenital abnormality of the gastrointestinal tract in children. The aim of this study was to review and analyze clinical data on the diagnosis and management of Meckel diverticulum in pediatric patients. The records of 102 pediatric patients (

When EV charging stations access to the distribution network, the charge-discharge behavior responded to the grid demand (V2G) will exert a significant impact on the optimized operation of the distribution network. V2G behavior is often guided by the electrovalence policy. The paper proposes an electrovalence guiding principle based V2G response model to optimize the access feeders and access points of EV charging station. With the aim to reduce network loss and intraday voltage fluctuations, the paper also proposes an optimized planning model of charging station with embedded operation simulation in the distribution network of high photovoltaic permeability. According to the optimized results, the paper analyzes the influence of load curve and PV permeability on the optimization program of charging station, and puts forward the basic principle of charging station access planning. The example shows that the operating efficiency of distribution network is significantly affected by V2G behavior of EV charging station. The V2G behavior of charging station might bring a significant negative impact on the distribution network with inappropriate access program. Research results can be widely used in planning project of charging station connected to distribution network.

The stress, strain and stability of slope would be changed if an Electricity transmission tower built on loess slope. In this paper, the distribution of stress, strain characteristic and stability of loess slope in condition of 30 meters height and 45 °slope triggered by action of Electricity transmission tower should be studied, the result shown that stability of loess slope dominated by the initial stress states, elastic modulus, and Poisson's ratio, strength and shape, structure and load condition etc. the stability distance of transmission line tower be located on loess slope governed by the stability of initial slope and the effect range triggered by tower load, in condition of 30 meters height and 45 °loess slope, the stability distance nearly 20m to 25m.

The paper simplifies the model of STATCOM, then evaluates its impact of access to power grid based on network equation, in this way, proposes a new kind of index named broad effective short circuit ratio (BESCR) based on effective short circuit ratio (ESCR). This index can be used to evaluate the voltage supporting capability of receiving system of single-infeed HVDC and multi-infeed HVDC under weak coupling with STATCOM. Then, the paper uses the maximum power curve (MPC) to validate the availability of the index, gives the relationship between the index and the maximum available power (MAP), and also puts out the index's threshold for system strength discrimination according to simulation results. The index has certain guidance meaning for location selection of the STATCOM in power grid.

The light transmitting cement mortar is to rely on a large number of optical fiber embedded in the block transferring light from the light side surface to the dark side. In this article, the preparation method of light transmitting cement mortar (LTCM) was introduced and the strength and light transmitting properties of LTCM were tested too. The results show that the LTCM can get higher light transmitting ratio and can also achieve, even exceed the light transmitting ratio of the 70g A4 print paper in the light wavelength range of 520~630nm.

The light transmitting cement-based material (LTCM) is a kind of light transmitting new materials. A large number of optical fiber was embedded in the block and transfer light from the light side surface to the dark side. While at present, the composition, structure and performance of LTCM have been reported rarely. The paper studied the preparation method, light transmitting property and compressive strength of LTCM with optical fiber embedded by means of parallel arrange. The results show that, LTCM gets higher light transmitting ratio with appropriate optical fiber filamentous by means of parallel arrange along the light direction. This kind of LTCM can also achieve, even exceed the light transmitting ratio of the 70g A4 print paper in the light wavelength range of 580~640nm.The light transmitting ratio increases and the compressive strength decreases along with the increase of the optical fiber content in volume.

This paper studies the light scattering and adsorption of nanocrystalline TiO2 porous films used in dye-sensitized solar cells composed of anatase and/or rutile particles by using an optical four-flux radiative transfer model. These light properties are difficult to measure directly on the functioning solar cells and they can not be calculated easily from the first-principle computational or quantitative theoretical evaluations. These simulation results indicate that the light scattering of 1–25 nm TiO2 particles is negligible, but it is effective in the range of 80 and 180 nm. A suitable mixture of small particles (10 nm radius), which are resulted in a large effective surface, and of larger particles (150 nm radius), which are effective light scatterers, have the potential to enhance solar absorption significantly. The rutile crystals have a larger refractive index and thus the light harvest of the mixtures of such larger rutile and relatively small anatase particles is improved in comparison with that of pure anatase films. The light absorption of the 10 μm double-layered films is also examined. A maximal light absorption of double-layered film is gotten when the thickness of the first layer of 10 nm-sized anatase particles is comparable to that of the second larger rutile layer.

To substitute the non-regular nano-crystalline semiconductor for a novel kind of ordered microstructure is a very important aspect in the domain of dye-sensitized solar cell. One of the researching hotspots is the highly-ordered TiO2 nanotube architecture. As a new type of titania nano-material, titania nanotube arrays have drawn extraordinary attention due to its distinctive morphology, notable photoelectrical and hydro-sensitive performance. At 100% sun the new kind of TiO2 nanotube arrays solar cell exhibits an overall conversion efficiency of 5.44%. This paper introduces the preparation methods of titania nanotube arrays, the existing problems and recent progress in titania nanotube arrays solar cell.

In allusion to the problem of the base-line selecting of distributed aperture coherence-synthetic radar, two types of criterions that the echo-correlated and the echo-coherent are proposed with the mathematic description, and the base-line is computed under typical scene with its application mode, which builds the base for the research and application of this system of radar.

Multi-Instance Multi-Label learning (MIML) is a popular framework for supervised classification where an example is described by multiple instances and associated with multiple labels. Previous MIML approaches have focused on predicting labels for instances. The idea of tackling the problem is to identify its equivalence in the traditional supervised learning framework. Motivated by the recent advancement in deep learning, in this paper, we still consider the problem of predicting labels and attempt to model deep learning in MIML learning framework. The proposed approach enables us to train deep convolutional neural network with images from social networks where images are well labeled, even labeled with several labels or uncorrelated labels. Experiments on real-world datasets demonstrate the effectiveness of our proposed approach.

This paper discusses the relationship between cigarette smoking and the p53 protein and P21 protein expression by the immunohistochemical analysis in 93 cases with lung cancer in which squamous cell carcinoma accounted for 45 cases, adenocarcinoma 48 cases. The results showed that positive proportion of p53 protein expression was 74.20% (28 of 37 squamous cell carcinoma, 21 of 30 adenocarcinomas) in cigarette smoking group with lung cancers, and 38.46% (3 of 8 squamous cell carcinoma, 7 of 18 adenocarcinomas) in nonsmoking group with lung cancers. The difference was statistically significant. Odds ratio was 4.14 and confidence limits for OR was 1.42-12.52. A dose-related presents in the p53 protein expression for the smoking amount and smoking years. The positive proportion of P21 protein expression was 79.31% (21 of 28 squamous cell carcinoma, 25 of 30 adenocarcinomas) in cigarette smoking group with lung cancers, and 82.75% (10 of 11 squamous, 14 of 18 adenocarcinomas) in nonsmoking group with lung cancers, the difference was not statistically significant. But their positive proportion of P21 protein expression were very high in both groups. It was indicated that no relationship between cigarette smoking and the P21 protein expression. We suggest that the p53 gene could be a common target of tobacco-associated carcinogenesis in lung cancer.

Aiming at the problem of the traditional dimensionality reduction methods cannot recover the inherent structure, and Scale Invariant Feature Transform(SIFT)achieving low precision when reinstating images, an Image Retrieval Method Based on Manifold Learning with Scale-Invariant Feature is proposed. It aims to find low-dimensional compact representations of high-dimensional observation data and explores the inherent low and intrinsic dimension of data. The feature extraction method-SIFT and the adaptive ISOMAP method are combined and conducted experiments on the ORL face image dataset. This paper analyzes and discusses the problem of effects of the neighborhood parameter and the intrinsic dimension size on the face image recognition.

Prediction of precipitation is very significant for dispatching and control of water in river to manage river and flood. RBF neural network trained with particle swarm optimization is presented to predict precipitation in the study. RBF neural network has strong nonlinear prediction ability, which has considerable applications. In the study, RBF neural network trained with particle swarm optimization is presented to predict precipitation. In RBF neural network, forecasting accuracy is affected by its operational parameters. Particle swarm optimization technique is used as a training phase of RBF neural network to determine its optimal parameters. A certain river irrigated area precipitation data from 1970 to 2002 are adopted to evaluate the performance of the proposed method. The testing results show that the proposed model is superior to BP neural network.

Data mining involves nontrivial process of extracting knowledge or patterns from large databases. Many searching and optimization methods are used in data mining. In this paper we propose a Self-Adaptive Hybrid GA (SAHGA), where parameters of population size, crossover rate and mutation rate for each individual in each generation are adaptively fixed. Further, the crossover operator and mutation operator are decided dynamically. Finally, the tabu strategy is involved in the process of evolution. The three measures mentioned above help to maintain the diversity of the population and smooth over premature convergence. The effective performance of the algorithm is then shown using standard testbed functions and a set of classification datamining problems with UCI datasets based on Weka Platform.

Background Although economic reforms have brought significant benefits, including improved health care to many Chinese people, accessibility to improved care has not been distributed evenly throughout Chinese society. Also, the effects of the uneven distribution of improved healthcare are not clearly understood. Evidence suggests that mortality is an indicator for evaluating accessibility to improved health care services. We constructed spatially smoothed risk maps for gender-specific adult mortality in an area of southern China comprising both urban and rural areas and identified ecological factors of gender-specific mortality across societies. Results The study analyzed the data of the Hechi Prefecture in southern in China. An average of 124,204 people lived in the area during the study period (2002–2004). Individual level data for 2002–2004 were grouped using identical rectangular cells (regular lattice) of 0.25 km2. Poisson regression was fitted to the group level data to identify gender-specific ecological factors of adult (ages 15– Conclusion We found a disparity in mortality rates between rural and urban areas in the study area in southern China, especially for adult men. There were also differences in mortality rates between poorer and wealthy populations in both rural and urban areas, which may in part reflect differences in health care quality. Spatial influences upon adult male versus adult female mortality difference underscore the need for more research on gender-related influences on adult mortality in China.

This paper presents a new set of moment invariants used for the fusion of open curve target. The moment invariants of open curve are reformulated on that of close curve. The indexes and rules for fusion of open curve target are founded on those invariants. Several retrieving methods of open curve in sparse sampling are compared to obtain appropriate ones. Determination of fusion threshold is discussed. Experiments show that these invariants were effective infusion of open curve target

This paper presents computation techniques of trajectory sensitivities of power systems with respect to parameters of conventional power system stabilizers (PSS). The trajectory sensitivities to PSS parameters offer a deep insight into influence of each PSS parameter on damping system oscillation. By means of the trajectory sensitivity technique, a novel approach for PSS design can be developed. Formulations and computation techniques of the trajectory sensitivities are presented. Case studies on a system of a single machine against an infinite bus are reported to validate the approach of trajectory sensitivity computation.