997 resultados para prime k-tuples


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Engineering blend structure with tailor-made distribution of nanoparticles is the prime requisite to obtain materials with extraordinary properties. Herein, a unique strategy of distributing nanoparticles in different phases of a blend structure has resulted in >99% blocking of incoming electromagnetic (EM) radiation. This is accomplished by designing a ternary polymer blend structure using polycarbonate (PC), poly(vinylidene fluoride) (PVDF), and poly(methyl methacrylate) (PMMA) to simultaneously improve the structural, electrical, and electromagnetic interference shielding (EMI). The blend structure was made conducting by preferentially localizing the multi-wall nanotubes (MWNTs) in the PVDF phase. By taking advantage of pp stacking MWNTs was noncovalently modified with an imidazolium based ionic liquid (IL). Interestingly, the enhanced dispersion of IL-MWNTs in PVDF improved the electrical conductivity of the blends significantly. While one key requisite to attenuate EM radiation (i.e., electrical conductivity) was achieved using MWNTs, the magnetic properties of the blend structure was tuned by introducing barium ferrite (BaFe) nanoparticles, which can interact with the incoming EM radiation. By suitably modifying the surface of BaFe nanoparticles, we can tailor their localization under the macroscopic processing condition. The precise localization of BaFe nanoparticles in the PC phase, due to nucleophilic substitution reaction, and the MWNTs in the PVDF phase not only improved the conductivity but also facilitated in absorption of the incoming microwave radiation due to synergetic effect from MWNT and BaFe. The shielding effectiveness (SE) was measured in X and K-u band, and an enhanced SE of -37 dB was noted at 18 GHz frequency. PMMA, which acted as an interfacial modifier in PC/PVDF blends further, resulting in a significant enhancement in the mechanical properties besides retaining high SE. This study opens a new avenue in designing mechanically strong microwave absorbers with a suitable combination of materials.

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We report on the first dielectric investigation of high-k yttrium copper titanate thin films, which were demonstrated to be very promising for nanoelectronics applications. The dielectric constant of these films is found to vary from 100 down to 24 (at 100 kHz) as a function of deposition conditions, namely oxygen pressure and film thickness. The physical origin of such variation was investigated in the framework of universal dielectric response and Cole-Cole relations and by means of voltage dependence studies of the dielectric constant. Surface-related effects and charge hopping polarization processes, strictly dependent on the film microstructure, are suggested to be mainly responsible for the observed dielectric response. In particular, the bulky behaviour of thick films deposited at lower oxygen pressure evolves towards a more complex and electrically heterogeneous structure when either the thickness decreases down to 50 nm or the films are grown under high oxygen pressure.

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We report on the first dielectric investigation of high-k yttrium copper titanate thin films, which were demonstrated to be very promising for nanoelectronics applications. The dielectric constant of these films is found to vary from 100 down to 24 (at 100 kHz) as a function of deposition conditions, namely oxygen pressure and film thickness. The physical origin of such variation was investigated in the framework of universal dielectric response and Cole-Cole relations and by means of voltage dependence studies of the dielectric constant. Surface-related effects and charge hopping polarization processes, strictly dependent on the film microstructure, are suggested to be mainly responsible for the observed dielectric response. In particular, the bulky behaviour of thick films deposited at lower oxygen pressure evolves towards a more complex and electrically heterogeneous structure when either the thickness decreases down to 50 nm or the films are grown under high oxygen pressure.

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Chronic hepatitis C virus (HCV) infection represents a major health threat to global population. In India, approximately 15-20% of cases of chronic liver diseases are caused by HCV infection. Although, new drug treatments hold great promise for HCV eradication in infected individuals, the treatments are highly expensive. A vaccine for preventing or treating HCV infection would be of great value, particularly in developing countries. Several preclinical trials of virus-like particle (VLP) based vaccine strategies are in progress throughout the world. Previously, using baculovirus based system, we have reported the production of hepatitis C virus-like particles (HCV-LPs) encoding structural proteins for genotype 3a, which is prevalent in India. In the present study, we have generated HCV-LPs using adenovirus based system and tried different immunization strategies by using combinations of both kinds of HCV-LPs with other genotype 3a-based immunogens. HCV-LPs and peptides based ELISAs were used to evaluate antibody responses generated by these combinations. Cell-mediated immune responses were measured by using T-cell proliferation assay and intracellular cytokine staining. We observed that administration of recombinant adenoviruses expressing HCV structural proteins as final booster enhances both antibody as well as T-cell responses. Additionally, reduction of binding of VLP and JFH1 virus to human hepatocellular carcinoma cells demonstrated the presence of neutralizing antibodies in immunized sera. Taken together, our results suggest that the combined regimen of VLP followed by recombinant adenovirus could more effectively inhibit HCV infection, endorsing the novel vaccine strategy. (C) 2015 Elsevier Ltd. All rights reserved.

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We develop a new dictionary learning algorithm called the l(1)-K-svp, by minimizing the l(1) distortion on the data term. The proposed formulation corresponds to maximum a posteriori estimation assuming a Laplacian prior on the coefficient matrix and additive noise, and is, in general, robust to non-Gaussian noise. The l(1) distortion is minimized by employing the iteratively reweighted least-squares algorithm. The dictionary atoms and the corresponding sparse coefficients are simultaneously estimated in the dictionary update step. Experimental results show that l(1)-K-SVD results in noise-robustness, faster convergence, and higher atom recovery rate than the method of optimal directions, K-SVD, and the robust dictionary learning algorithm (RDL), in Gaussian as well as non-Gaussian noise. For a fixed value of sparsity, number of dictionary atoms, and data dimension, l(1)-K-SVD outperforms K-SVD and RDL on small training sets. We also consider the generalized l(p), 0 < p < 1, data metric to tackle heavy-tailed/impulsive noise. In an image denoising application, l(1)-K-SVD was found to result in higher peak signal-to-noise ratio (PSNR) over K-SVD for Laplacian noise. The structural similarity index increases by 0.1 for low input PSNR, which is significant and demonstrates the efficacy of the proposed method. (C) 2015 Elsevier B.V. All rights reserved.

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In this letter, we submit our comment on the following recently published papers by Kalidas Das: (1) ``Influence of chemical reaction and viscous dissipation on MHD mixed convection flow,'' Journal of Mechanical Science and Technology 28 (5) (2014) 1881-1885; and (2) ``Cu-water nanofluid flow and heat transfer over a shrinking sheet,'' Journal of Mechanical Science and Technology 28 (12) (2014) 5089-5094. The authors attempt to present the similarity solutions in both papers. We comment that the similarity transformations considered in Refs. 1, 2] are incorrect. Thus, the results presented by Kalidas Das lead to invalid conclusions.

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In the present paper the rarefied gas how caused by the sudden change of the wall temperature and the Rayleigh problem are simulated by the DSMC method which has been validated by experiments both in global flour field and velocity distribution function level. The comparison of the simulated results with the accurate numerical solutions of the B-G-K model equation shows that near equilibrium the BG-K equation with corrected collision frequency can give accurate result but as farther away from equilibrium the B-G-K equation is not accurate. This is for the first time that the error caused by the B-G-K model equation has been revealed.

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研究了用VITA条件采样方法壁湍猝发的门限值与壁湍流猝发平均周期之间的关系,根据用壁湍流流向脉动速度自相关函数检测得到的壁湍流猝发平均周期,确定壁,湍猝发VITA条件采样的门限值K。

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Con el objetivo de determinar los principales agentes etiológicos de las dermatopatías en conejos y determinar el efecto terapéutico de tres tratamientos fitoterapéuticos 1) Jícaro Sabanero, 2) madero negro y 3) Neem, sobre las mismas, se realizó un estudio en el Rancho Agropecológico en especies menores, Ebenezer (RAEME), Niquinohomo, Nicaragua. El trabajo se realizó en 59 conejos divididos en cuatro grupos y sometidos a los diferentes tratamientos. Para evaluar la efectividad de los tratamientos se realizaron 3 aplicaciones de cada uno de ellos a sus respectivos grupos, con intervalos de siete días cada uno, durante 21 días; a excepción del jícaro que se aplicó tres días continuos, cada siete días, durante 21 días. Se determinó que los principales agentes etiológicos presentes en el estudio, fueron el ácaro Listrophorus sp, los hongos Mucor sp, Aspergillus sp, zygomices sp, Penicillium sp. De los tres tratamientos aplicados, el tratamiento a base de Neem (Azadirachta indica) fue el que presentó un efecto altamente significativo (P< 0.0001)sobre el control de las dermopatías y permitió un mejor grado de recuperación de los conejos tratados. El tratamiento a base de jícaro (Crescentia alata) presenta algún grado de efectividad para el control de las dermopatías encontradas. El tratamiento a base de madero negro (Gliricidia sepium ), presentó muy poca efectividad en el control de las dermopatías en estudio.

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El presente estudio se realizó de junio de 1992 a marzo de 1993 en El Ingenio Victoria de Julio. Se evaluó el efecto de 13 dosis de N-P-K (0-60-60, 40-60-60, 80-60-60, 120-60-60, 40-0-60, 40-30-60, 80-0-60, 80-30-60, 40-9Ó-60, 120-0-60, 120-30-60, 120-60-0 y 120-60-30), sobre el cultivo de la caña de azúcar (Saccharum sp. híbrido), las cuales se compararon con e1 testigo (0-0-0). Se plantó la variedad L 68-90. El diseño experimental utilizado fue de Bloques Completos al Azar modificado, las variables analizadas fueron: brotación, diámetro, altura, población, rendimiento agrícola, rendimiento industrial y rendimiento agro industrial. Los datos que se obtuvieron se sometieron al análisis de varianza y separación de medías según Tukey a un 5 % de margen de error. En ninguna de las variables evaluadas se observó diferencia estadística significativa. Con respecto a la Germinación el mayor porcentaje fue de 75.33 porciento y correspondió a los tratamientos 120-60-0 y 40-30-60. El mayor diámetro fue de 2.73 cm habiéndose obtenido con el tratamiento 120-60-30. La mayor altura se obtuvo con el tratamiento 40-30-60 y fue de 2.94 cm. La población mayor fue de 231 750 tallos/ha correspondiendo al tratamiento 40-30-60. El mayor rendimiento agrícola se logró con el tratamiento 80-0-60 y fue de 86.23 t/ha. El mayor rendimiento industrial fue de 93.80 kg/t correspondiendo éste al tratamiento 120-0-60. El mayor rendimiento agro-industrial se obtuvo con el tratamiento 80-0-60 siendo éste valor de 7.675 t/ha.