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Vanadate is expected to be a promising anode material for lithium-ion batteries (LIBs). Herein, a series of Ni doped Zn3V2O8 continuous solid solution has been synthesized through a simple sol–gel method. The effects of Ni-doping on the microstructure of Zn3V2O8 is systematically investigated. The results show that Ni-doping has almost no influence on the crystalline phase structure and morphology, but has influences on the grain size of the samples. With the increase of Ni-doping amount, the grain size of Ni doped Zn3V2O8 gradually increases. Moreover, the conductivity of Ni doped Zn3V2O8 is also improved. Ni doped Zn3V2O8 has exhibited better electrochemical performance than that of Zn3V2O8. In particular, the sample Zn2.4Ni0.6V2O8 can deliver a capacity of 452.3 mAh g−1 at a current density of 1 A g−1 after 600 cycles. This should be attributed to the decrease of band gap, leading to the improvement of conductivity, which is more conducive to the transport of lithium ions and electrons. [ABSTRACT FROM AUTHOR]

Natural human–robot interaction requires social robots to have human-like perception of engagement intention. In the multi-person interaction scenario, it's a vital task for social robots to rationally select the main interaction object. Existing studies mostly focus on analyzing whether a person has engagement intention before interaction. However, this qualitative analysis of engagement intention is only applicable in single-person interaction scenarios. When multiple people have the intention to engage with the robot, the robot needs to quantitatively analyze the engagement intention intensity (EII) of all people to make a reasonable interaction decision. In addition, for EII recognition, it is an ideal state that social robots can imitate human social thinking as much as possible. For these purposes, a method that can efficiently recognize the EII by fusing transient features and temporal features is proposed. First, the 3D pose extractor is used to extract the 3D skeleton information which can calculate the transient features including linear distance and body orientation. Second, an improved ConvLSTM network is proposed to effectively identify pedestrian motion states which can reflect temporal information. Finally, based on the proposed two states fusion fuzzy inference system (TSFFIS), the EII can be judged by the three features which are linear distance, body orientation and motion states. Comparative experiments show that our method can effectively identify the EII of different pedestrians relative to the robot. Compared with existing methods, the EII recognition method based on TSFFIS has better performance. [ABSTRACT FROM AUTHOR]

As a research hotspot in recent years, Ti-based anode materials for lithium ion batteries (LIBs) have advantages including long cycle life and excellent cyclic stability. However, its application is further limited by its poor conductivity and low reversible capacity. Herein, a series of porous hexagonal prism Zn-doped CoTiO3 have been designed and prepared by simple co-precipitation method followed by calcination. The influences of Zn doping concentration on the microstructure and electrochemical performance are further explored. The results indicate that Zn doping has little effect on the microstructure of CoTiO3 and can elevate capacity, cyclic stability, and rate capability. When Zn doping concentration is set as 0.1, the sample Co0.9Zn0.1TiO3 gives the best electrochemical performance. The reversible capacity can be maintained at 430.6 mAh g−1 at a current rate of 0.2 C after 280 cycles. This work can pave an effective strategy for improving the electrochemical performance of other Ti-based anode materials. [ABSTRACT FROM AUTHOR]

To interact with humans more precisely and naturally, social robots need to "perceive" human engagement intention, especially need to recognize the main interaction person in multi-person interaction scenarios. By analyzing the intensity of human engagement intention (IHEI), social robots can distinguish the intention of different persons. Most existing research in this field mainly focus on analyzing whether a person has the intention to interact with the robot while lack of analysis of IHEI. In this regard, this paper proposes an approach for recognizing the engagement intention intensity. Four categories of visual features, including line of sight, head pose, distance and expression of human, are captured, and a CatBoost-based machine learning model is applied to train an optimal classifier for predicting the IHEI on the dataset. The experimental results show that this classifier can effectively predict the IHEI that can be applied into real human–robot interaction scenarios. Moreover, the proposed model is an interpretable machine learning model, where interpretability analysis on the trained classifier has been done to explore the deep associations between input features and engagement intention, thereby providing robust and effective robot social decision-making. [ABSTRACT FROM AUTHOR]

Although travelers tend to consider multi-dimensional hotel information when choosing their accommodation, few online travel agency (OTA) websites allow them to express their preferences and expectations for the selection criteria to obtain customized hotel ranking results. The lack of this function makes travelers have to spend extra time and effort in comparing different hotels to make the final decision. To solve this problem, a hotel ranking method considering travelers' preferences and expectations is proposed based on multi-dimensional hotel information. In the method, considering the travelers' actual process of hotel reservation through the OTA website, four types of hotel information (i.e., price, rating, location and text comment) are used. To make full use of these information, text mining, prospect theory and multi-attribute decision-making method are integrated into the proposed method. A case study is given to verify the reliability of the proposed method. The proposed method can be embedded into OTA websites to provide decision support for travelers' hotel reservation, which will reduce the time spent by travelers in hotel search and comparison, thus effectively promote hotel reservation and improve traveler satisfaction. [ABSTRACT FROM AUTHOR]

As a typical transition metal oxide anode material, ZnMoO4 can deliver a higher theoretical capacity of 951.6 mAh g−1 due to its variable oxidation state and alloying reaction. However, lower conductivity and huge volumetric expansion restrict its further development. Herein, the modified sol–gel method is applied to synthesize a series of (1-x)ZnMoO4-xZnFe2O4 (x = 0.1, 0.2, 0.3, 0.4, and 0.5) composites. The effects of compound proportion of ZnFe2O4 on the crystal phase structure and morphology for ZnMoO4 have been investigated in detail. All the composites have been conducted on electrochemical measurements, and the results illustrate that the composites display better electrochemical performance than that of ZnMoO4. Especially for 0.6ZnMoO4-0.4ZnFe2O4, it can deliver a capacity of 550.7 mAh g−1 after 500 cycles at a current density of 200 mA g−1. Moreover, it also presents the higher capacity at higher current density. The improvement of electrochemical performance should be attributed to the synergistic effect of ZnFe2O4 and ZnMoO4. [ABSTRACT FROM AUTHOR]

Artificial electric field algorithm (AEFA) is a potential global optimization algorithm proposed in recent years and has been successfully applied to various engineering optimizations. However, precocious convergence tends to occur when solving complex engineering optimization problems. To avoid premature convergence to some extent, an artificial electric field algorithm with inertia and repulsion (IRAEFA) is proposed. The IRAEFA algorithm introduces the inertia mechanism and the repulsion between charges, expands the search space, increases the diversity of population, balances the exploration and development ability of the algorithm, and avoids the algorithm falling into the local optimal solution. Finally, the IRAEFA algorithm is used to solve the spherical mining spanning tree (MST) problem, and the results obtained are compared and analyzed with the results of other well-known metaheuristics optimization algorithms. Experimental results show that the proposed algorithm has better performance than other algorithms in solving spherical MST problems. [ABSTRACT FROM AUTHOR]

A series of La-based metal−organic frameworks (La-MOFs) phosphors have been successfully synthesized by a facile solvothermal method without assistance of any surfactant or template. The results show that the ethanol volume ratio is important to obtain adjustable shape and size of La-MOFs in the synthesis process. The obtained samples possess flake-like architectures with about 3–5 μm in length. Under UV excitation, all the La-MOFs:Tb3+, Eu3+ phosphors exhibit the characteristic emissions of Tb3+ and Eu3+. Moreover, the emitting color of the as-obtained products can be acquired from green, green-yellow, yellow, yellow-orange, orange, to red owing to the efficient energy transfer (ET) between Tb3+ and Eu3+ions. The ET efficiency of the samples was calculated, and the maximum was found about 96.84%. Furthermore, the dipole–quadrupole interaction has been reasonable proved by the energy transfer between Tb3+ and Eu3+. These results indicated that La-MOFs:Tb3+, Eu3+ might be as a novel potential candidate as phosphors for displays and lightings. [ABSTRACT FROM AUTHOR]

User basic data (e.g. user gender, user age and user ID, etc.) and item basic data (e.g. item name, item category, etc.) are important side data that can be used to enhance the performance of recommendation algorithms, whereas attempts concerning this issue are still relatively scarce. In this study, a deep neural networks based recommendation algorithm is proposed where user average rating, user basic data (user gender, user age, user occupation, user ID), item basic data (item name, item category, item ID) and item average rating are used. The main idea of the algorithm is to build a regression model for predicting user ratings based on deep neural networks. For this, according to the user data (user average rating and user basic data) and the item data (items basic data and item average rating), a user feature matrix and an item feature matrix are respectively constructed using the four types of neural network layers [i.e., embedding layer (EL), convolution layer (CL), pooling layer (PL) and fully connected layer (FCL)]. Then, based on the obtained user feature matrix and item feature matrix, a user-item feature matrix is further constructed using a FCL. On this basis, a regression model for predicting user ratings can be trained, and a recommendation list can be generated according to the predicted user ratings. To verify the effectiveness of the proposed algorithm, three experiments are conducted using the real data from the MovieLens website. The results of experiments show that the proposed algorithm not only outperforms the state-of-the-art collaborative filtering (CF) recommendation algorithms but also alleviates the data sparsity problem and cold-start problem that would occur when the state-of-the-art CF recommendation algorithms are used. [ABSTRACT FROM AUTHOR]

A series of Eu2(MoO4)3 crystals with different crystal structures have been successfully fabricated via a conventional ceramics process under different sintering temperatures. Using X-ray diffraction (XRD), Rietveld refinement, Fourier transform infrared (FT-IR) spectra, scanning electron microscope (SEM), differential thermal analysis (DTA), photoluminescence (PL) and vibrating sample magnetometer (VSM), the microstructures, luminescent and magnetic properties of the as-fabricated Eu2(MoO4)3 crystals have been investigated in detail. XRD, FT-IR and Rietveld refinement results show that the crystal structure of the final Eu2(MoO4)3 crystals can be remarkably influenced by the sintering temperature, exhibiting the phase transformation from tetragonal to monoclinic and then orthorhombic in the region of 600–1000 °C. SEM images manifest the sintering temperature has significantly influence on grain size and dispersity of the samples, although it has negligible effect on their morphology. DTA results confirm that the phase transition temperature for tetragonal to monoclinic and monoclinic to orthorhombic is 624 and 887 °C, respectively. PL results reveal that the excitation and emission intensities of the Eu2(MoO4)3 crystals initially increase and then decrease with increasing sintering temperature, given the maximum at 900 °C. VSM results indicate that all the as-fabricated Eu2(MoO4)3 crystals exhibit paramagnetic property. Our work can offer a simple and effective strategy to adjust the crystal structure of Eu2(MoO4)3 crystals. [ABSTRACT FROM AUTHOR]

Abstract: LiFe(MoO4)2 microcrystals have been fabricated via a facile sol-gel driving process. The obtained LiFe(MoO4)2 microcrystals are characterized through X-ray diffraction, thermal analysis, scanning electron microscope, transmission electron microscope and high resolution transmission electron microscope. The results demonstrate that the as-synthesized microcrystals possess triclinic structure and exhibit uniform particle size of 1-2 μm. When served as anode material for lithium ion batteries, LiFe(MoO4)2 microcrystals display a very high specific capacity of 925 mAh g−1 at a current rate of 1 C after 500 cycles and a high retention rate of 88%, showing superior electrochemical performance.Graphical Abstract: [ABSTRACT FROM AUTHOR]

Molybdate based phosphors have efficient absorption in the ultraviolet (UV) region and can be used for UV-pumped light emitting. A series of NaGd0.5Tb0.5−xEux(MoO4)2 (0 ≤ x ≤ 0.5) multicolor tunable phosphors were prepared via a conventional solid-state reaction method. The as-prepared samples were well characterized by x-ray diffraction patterns, Fourier transform infrared spectroscopy, scanning electronic microscope, electron energy-dispersive spectroscopy, UV-vis diffused reflectance, photoluminescent spectra, decay curve and temperature-dependent photoluminescence spectra. The results indicate that the NaGd0.5Tb0.5−xEux(MoO4)2 (0 ≤ x ≤ 0.5) phosphors exhibit a good crystallinity and form a continuous solid solution with scheelite structure. Under UV excitation, NaGd0.5Tb0.5−xEux(MoO4)2 (0 ≤ x ≤ 0.5) phosphors exhibit characteristic emissions of Tb3+ (5D4 → 7FJ, J = 6, 5, 4, 3) and Eu3+ (5D0 → 7FJ, J = 0, 1, 2, 3, 4). The host NaGd(MoO4)2 has excellent energy transfer efficiency for rare earth ions, and the energy transfer from Tb3+ ions to Eu3+ ions is efficient, which can be confirmed by the decay curve. The energy transfer (ET) process between Tb3+ and Eu3+ was demonstrated to a reasonable type via a dipole-dipole interaction with ET efficiency of about nearly 95%. Moreover, the temperature-dependent luminescence properties indicated that the phosphors possessed good thermal stability. Interestingly, the luminescence color of NaGd0.5Tb0.5−xEux(MoO4)2 phosphors can be easily tuned from green to green-yellow, yellow, orange-yellow and ultimately to red by simply adjusting the related concentrations of Tb3+ and Eu3+ under a single wavelength excitation, which might have potential applications in the fields of as multi-color display and illumination. [ABSTRACT FROM AUTHOR]

La2−xEuxMo2O9 (0 ≤ x ≤ 0.6) solid solution microcrystals have been successfully fabricated by a facile hydrothermal derived synthesis process (i.e. the precursors were obtained via hydrothermal treat at 180 °C for 24 h and then calcined at 600 °C for 5 h). X-ray diffraction (XRD), scanning electron microscope (SEM), photoluminescence excitation and emission spectra (PL) and photoluminescence decay curves were used to characterize La2−xEuxMo2O9 samples. The effects of the Eu3+ ions concentration on the luminescence of the La2−xEuxMo2O9 microcrystals were also investigated in detail. The results show that the obtained La2−xEuxMo2O9 microcrystals are cubic phase continuous solid solution, and all can be efficiently excited by 335 nm ultraviolet and 464 nm blue light, exhibiting the strong red emission at 615 nm of Eu3+ ion. The obtained La2−xEuxMo2O9 microcrystals are promising red-emitting phosphors pumped by near-UV or blue light for the white light emitting diodes (WLEDs). [ABSTRACT FROM AUTHOR]

Spinel ferrites constitute one of the most important families of magnets; their properties are believed to be highly dependent on cation occupancy. Zinc ferrite materials synthesized by various methods are usually reported to exhibit enhanced magnetism, but the mechanism underlying such enhancement remains poorly understood, with at least three effects being considered, namely cation distribution, oxygen vacancies, and surface spin disorder. We report herein the individual influence of cation distribution on the magnetic properties of zinc ferrite microparticles, synthesized by solid-state reaction with a fast (200 K/s) quench process. Based on structure analyses including x-ray powder diffraction, scanning electron microscopy, x-ray photoelectron spectroscopy, Mössbauer spectroscopy, and magnetic measurements, it is concluded that the as-prepared samples exhibited different cation distribution with inversion degree increasing from approximately 0.18 to 0.28 with increasing calcination temperature from 800°C to 1200°C. The magnetism measured at 2 K was found to be enhanced with increase of the inversion degree, while that measured at 300 K was found to be independent of inversion degree. The mechanism of the enhanced magnetization is that the indirect interaction between A and B site at low temperature is stronger than that between two nearest B sites. [ABSTRACT FROM AUTHOR]

Li4Mn5O12 nanorods were successfully prepared by using β-MnO2 nanorod precursors as self-templates. The obtained Li4Mn5O12 nanorods were approximately 0.8-1.5 μm in length and 0.15 μm in width, and were employed as electrode materials and applied in supercapacitors. The results show that Li4Mn5O12 nanorods can deliver 211 F g−1 within the potential range of 0-1.4 V at a scan rate of 5 mV s−1 in 1 mol L−1 Li2SO4 solution, which presents a good electrochemical performance. [ABSTRACT FROM AUTHOR]

Three dimensional (3D) flower-like cerium pyrazine-2,3,5,6-tetracarboxylate metal-organic framework has been successfully prepared on a large scale through a simple and facile hydrothermal method without the assistance of any surfactant or template. The composition and structure of the samples were well characterized by Fourier transform infrared spectroscopy, X-ray powder diffraction, elemental analysis, thermogravimetric analysis, scanning electron microscopy, and energy dispersive X-ray, respectively. The experimental results indicate that these 3D flower-like architectures with diameter of about 4 μm are composed of a large number of nanosheets. The presumed molecular formula of the cerium-based metal-organic framework is Ce(pztc)(HO). In addition, a possible mechanism for the formation of cerium pyrazine-2,3,5,6-tetracarboxylate architectures was proposed based on time-dependent experiments. Furthermore, the as-obtained flower-like cerium-based metal-organic framework architectures could be easily transformed into CeO microstructures with flower-like outlines through simply heat-treating in air. [ABSTRACT FROM AUTHOR]

Monoclinic LiFe(WO) microcrystals have been fabricated by solid-state ceramic method. Microstructures, luminescent and magnetic properties of the as- fabricated microcrystals were characterized by X-ray diffraction, scanning electron microscopy, photoluminescence spectroscopy and Vibrating Sample Magnetometer. Influence of sintering temperature and sintering time on the microstructures, luminescent and magnetic properties of LiFe(WO) microcrystals were studied. Below the sintering temperature 800 °C, the prepared samples exhibited spherical-like morphology. The crystallinity and purity of the microcrystals increased with increasing the sintering temperature. At higher 800 °C, the observed morphology of the obtained microcrystalline turned to be rods-like. All the LiFe(WO) microcrystals exhibit the alike broad emission peak centered at 390 nm under excitation of 242 nm ultraviolet light except for difference in emission intensity. Due to the good crystallinity and microstructures, LiFe(WO) microcrystals fabricated at 800 °C possess the maximum emission intensity. On the premise of the optimal sintering temperature (800 °C) and the predetermined range of sintering time (1-9 h), the sintering time has little influence on the microstructures and luminescent properties of the LiFe(WO) microcrystals. In addition, all the well crystallized LiFe(WO) microcrystals exhibit paramagnetism at room temperature. [ABSTRACT FROM AUTHOR]

The pretreatment nutritional and immunological status play indispensable roles in predicting the outcome of patients with various types of malignancies. The aim of the study was to investigate whether preoperative prognostic nutritional index (PNI), which simply accounts for nutritional and immunological status, was associated with overall survival (OS) in patients with gallbladder carcinoma (GBC). The retrospective study included a total of 315 GBC patients after surgery between 2002 and 2012. PNI was calculated according to the following formula: 10× serum albumin (g/dl) +0.005× total lymphocyte count (per mm). A receiver operating characteristic (ROC) curve for survival prediction was plotted to verify the optimal cutoff value for LMR, which was set at 46.14. According the value, patients were categorized into two different groups, namely high-PNI group ( n = 133) and low-PNI group ( n = 182). The univariate and multivariate Cox regression models were used to identify the independent prognostic factors. The results showed that low pretreatment PNI value was significantly associated with elderly age, partial surgery procedure, and advanced tumor status such as tumor stage, node stage, and tumor-node-metastasis stage ( P < 0.05). The low-PNI group had a worse OS compare with the high-PNI group ( P < 0.05). Via univariate and multivariate analyses, pretreatment PNI was identified as an independent prognostic factor for OS [HR: 0.613; 95%CI: 0.448-0.838; P < 0.001]. Subgroup analyses further revealed that PNI was significantly associated with postoperative OS independent of tumor node metastasis stage and surgical procedure. In conclusion, pretreatment PNI might serve as an effective predictor to evaluate prognosis of GBC patients after surgery. Based on the findings, PNI, characterized with accessibility, objectivity and noninvasiveness, should be included in the routine assessment of GBC. [ABSTRACT FROM AUTHOR]

Objective: To explore the neuroprotective effects of baicalin against hypoxia and glucose deprivationreperfusion (OGD/RO)-induced injury in SH-SY5Y cells. Methods: SH-SY5Y cells were divided into a control group, a OGD/RO group, which was subject to OGD/RO induction; and 3 baicalin groups subject to baicalin (1, 5, 25 μmol/L) for 2 h before induction of OGD/RO (low-, medium-, and high-dose baicalin groups). Cell viability was detected by thiazolyl blue tetrazolium bromide (MTT) assay and flow cytometric analysis was used to detect cell apoptosis. Real-time polymerase chain reaction was performed to determine the mRNA expression of caspase-3 gene. Western blot analysis was conducted to determine the expression of nuclear factor (NF)B and N-methyl-daspartic acid receptor-1 (NMDAR1). Results: Baicalin could significantly attenuate OGD/RO mediated apoptotic cell death in SH-SY5Y cells; the apoptosis rates in the low-, medium- and high-dose groups were 12.1%, 7.9%, and 5.4%, respectively. Western blot and real-time PCR analysis revealed that significant decrease in caspase-3 expression in the baicalin group compared with the OGD/RO group ( P<0.01). Additionally, down-regulation of NFB and NMDAR1 was observed in the baicalin group compared with those obtained from the OGD/RO group. Compared with the low-dose baicalin group, remarkable decrease was noted in the medium- and high-dose groups ( P<0.01). Conclusion: Baicalin pre-treatment attenuates brain ischemia reperfusion injury by suppressing cellular apoptosis. [ABSTRACT FROM AUTHOR]

Alzheimer's disease (AD) is the leading cause of dementia in the elderly and is characterized by amyloid plaques, neurofibrillary tangles, and neuronal loss. Cumulative evidence supports that neuroinflammation is an important factor for the pathogenesis of AD and contributes to amyloid beta (Aβ) generation. However, there has been no effective treatment for AD. Wharton's Jelly-derived mesenchymal stem cells (WJ-MSCs) have a potential therapeutic effect in the treatment for neurological diseases. In the present study, we evaluated the therapeutic effect of WJ-MSC transplantation on the neuropathology and memory deficits in amyloid precursor protein (APP) and presenilin-1 (PS1) double-transgenic mice and discussed the mechanism. WJ-MSCs were intravenously transplanted into the APP/PS1 mice. Four weeks after treatment, WJ-MSCs significantly improved the spatial learning and alleviated the memory decline in the APP/PS1 mice. Aβ deposition and soluble Aβ levels were significantly reduced after WJ-MSC treatment. Furthermore, WJ-MSCs significantly increased the expression of the anti-inflammatory cytokine, IL-10. Meanwhile, pro-inflammatory microglial activation and the expressions of pro-inflammatory cytokines, IL-1β and TNFα, were significantly down-regulated by WJ-MSC treatment. Thus, our findings suggest that WJ-MSCs might produce beneficial effects on the prevention and treatment for AD through modulation of neuroinflammation. [ABSTRACT FROM AUTHOR]

This study was designed to explore the influence of intra-operative perforation on prognosis of low rectal cancer after APR and to investigate the risk factors of perforation. Perforation is not scarce during the procedure of abdominoperineal resection (APR). There is no consensus on perforation rate and related risk factor for APR. Data of 925 patients who received APR for low rectal cancer between January 2000 and August 2008 were reviewed. The intra-operative perforation rate was 7.4 % (68/925). The recurrence rate was 28.6 % in patients with intra-operative perforation compared with 6.8 % in patients with no perforation ( P < 0.001); 5-year survival rate in patients with perforation was 41.4 and 66.3 % in patients with no perforation. Univariate analysis showed that intra-operative perforation affected recurrence rate and survival significantly ( P < 0.001, P < 0.001); multivariate analysis revealed that intra-operative perforation was an independent prognostic factors for recurrence ( RR: 3.087, P < 0.001), while not for survival ( RR: 1.331, P = 0.051). Patients aged more than 70 years, T3 tumor and treated by general surgeon had higher perforation rate ( P = 0.001, P = 0.004, P = 0.008). Intra-operative perforation affected the prognosis of low rectal cancer after APR significantly. Elderly patient aged more than 70 years, T3 tumor and general surgeon who performed operation were three risk factors of increased perforation rate. [ABSTRACT FROM AUTHOR]

Polymorphisms in the excision repair cross-complimentary group 1 (ERCC1)-excision repair cross-complimentary group 4 (ERCC4) genes have been implicated in the prognosis of various cancers. We conducted a cohort study to investigate the role of ERCC1-ERCC4 gene polymorphisms on the response to chemotherapy and the role of these two gene polymorphisms on the clinical outcomes of gastric cancer. Four hundred forty-seven patients with newly diagnosed and histopathologically confirmed primary gastric cancer were collected in our study and were followed up until March 2012. ERCC1 (rs11615, rs3212986C>A, and rs2298881) and ERCC4 (rs226466C>G, rs2276465, and rs6498486) were selected and genotyped. The overall chemotherapy response rate for treatment was 68 %. Carriers of the rs11615 TT and T allele and ERCC1 rs2298881 CC and C allele had a marginally significantly higher response rate to the chemotherapy. In the Cox proportional hazard model, the hazard ratios (HRs) for overall survival (OS) in patients carrying ERCC1 rs11615 TT genotype and T allele were 0.53 (0.29-0.95) and 0.63 (0.42-0.94), respectively. Similarly, we found a significant decreased risk of death from gastric cancer among patients carrying ERCC1 rs2298881 CC genotype and C allele when compared with CC genotype, and HRs (95 % confidence interval (CI)) of OS were 0.50 (0.24-0.98) and 0.62 (0.40-0.96), respectively. Moreover, individuals carrying ERCC1 rs11615 T allele and rs2298881 C allele could decrease a 0.62-fold risk of death from gastric cancer. This study reported a carriage of ERCC1 rs11615, and rs2298881 polymorphism can be used as a predictor of response to folinic acid/5-fluorouracil (5-FU)/oxaliplatin (FOLFOX)-based chemotherapy in gastric cancer patients. [ABSTRACT FROM AUTHOR]

With the consideration of network structure and travelers' path choice behavior in the congested traffic network, we study the effects of network topologies with degree-degree uncorrelation and correlations (assortative and disassortative correlation) on the performance of traffic network. How the effects of rewiring probability and the degree distribution exponent impact on the traffic congestion and the network efficiency are mainly analyzed. It is found that the correlated network is more vulnerable to traffic congestion compared with uncorrelated ones. Therefore, the uncorrelated network can support much more volume of traffic and have a larger carrying capacity when the traveler's choice behavior is considered. [ABSTRACT FROM AUTHOR]

Objective: To observe the clinical efficacy of Three-character-scripture School pediatric tuina for infants with night crying. Methods: Sixty cases with night crying were treated with Three-character- scripture School pediatric tuina, followed by observing the efficacy. Results: Forty-nine cases were recovered, 7 cases improved, and 4 cases failed. The total effective rate was 93.3%. Conclusion: Three-character-scripture School pediatric tuina is effective for night crying of infants. It should be spread and applied due to its manipulation with less acupoints, simple operation and no pain for infants. [ABSTRACT FROM AUTHOR]

The galvanic cell method has been used for the synthesis of BaMoO4 double oxide film in barium hydroxide aqueous solutions. This method could resolve the repulsion of the electric field on the anode and favor the mass transfer of cations. The crystal growth in the solution is easier compared with the traditional electrochemical deposition with applied power. The deposition process of the galvanic cell technique has been investigated by deposition time, pH, and ion concentration, and the basic features of this method are discussed. [ABSTRACT FROM AUTHOR]

Let G be a finite group and S be a finite simple group. In this paper, we prove that if G and S have the same sets of all orders of solvable subgroups, then G is isomorphic to S, or G and S are isomorphic to B n( q), C n( q), where n ⩾ 3 and q is odd. This gives a positive answer to the problem put forward by Abe and Iiyori. [ABSTRACT FROM AUTHOR]

A new algorithm for fault superimposed quantity (FSIQ) is presented and analyzed. The network equations are built up by combining fault superimposed networks (FSIN) with the boundary conditions of FSIQ at the fault point and are solved with the Newton iterative method. The algorithm has clear physical meaning and does not require an intermediate procedure to derive FSIQ. The algorithm is implemented by computer programming, and the results of calculations show that the algorithm is fast and accurate. The method can be used not only to calculate FSIQ in the complex power systems with simple or multiple faults, but also to analyze and evaluate the performance of the protective relays and automatic devices based on FSIQ. [ABSTRACT FROM AUTHOR]