2,244 research outputs found
Genome-Based Vaccinology Applied to Bovine Babesiosis
Genomics approaches in veterinary research have been a very useful tool to identify candidates with potential to be used in prevention of animal diseases. In Babesia, genome information analysis has elucidated a wide variety of protein families and some members are described in this chapter. Here, we present some of the most recent studies about B. bovis and B. bigemina genomes where some proteins have been identified with potential to prevent infections by these parasites
Weighted -boundedness of Fourier series with respect to generalized Jacobi weights
Let w be a generalized Jacobi weight on the interval [-1,1] and, for each function f, let Snf denote the n-th partial sum of the Fourier series of f in the orthogonal polynomials associated to w. We prove a result about uniform boundedness of the operators Sn in some weighted Lp spaces. The study of the norms of the kernels Kn related to the operators Sn allows us to obtain a relation between the Fourier series with respect to different generalized Jacobi weights
Subchronic Infection of Porphyromonas gingivalis and Tannerella forsythia Stimulates an Immune Response but Not Arthritis in Experimental Murine Model
Studies have proposed that Porphyromonas gingivalis (Pg) and Tannerella forsythia (Tf) promote a nonspecific inflammatory response that could produce systemic disease. Oral inoculation of Pg and Tf on the immune and arthritis response was evaluated in BALB/C mice divided into four groups: (1) sham; (2) food contaminated with Pg/Tf ; (3) complete Freund’s adjuvant (CFA) + Pg/Tf ; and (4) CFA alone. CFA was administered subcutaneously on days 1 and 14. The arthritis response was monitored for 21 days after day 14 of CFA administration. IL-
Effect of zinc-doping in physicochemical properties of dental adhesives
Purpose: To evaluate changes in the physicochemical properties, water sorption (WS), solubility (SO),
modulus of elasticity (E), ultimate tensile strength (UTS), and microhardness (MH) tests were undertaken in zinc-doped
dental adhesives.Methods: Two bonding resins, Adper Single Bond Plus (SB) and Clearfil SE Bond (SEB), were zincdoped
by mixing them with 5, 10 or 20wt% of ZnO powder, or with 1 or 2wt% ZnCl2. Resin disks were made of each
adhesive blend for the evaluation of WS, SO, and MH, and dumbbell-shaped specimens were prepared for E and UTS
testing.Results: An increase in WS and SO was observed for adhesives doped with ZnCl2. A reduction in WS was
observed for the adhesive blends containing 10% or 20wt% ZnO, while the SO was not altered in any of the ZnO-doped
adhesives. An increase in E values was observed only for the SB adhesive doped with ZnCl2. For SEB-blends, the
incorporation of zinc compounds did not alter the E values. UTS values decreased when SEB was doped with ZnO. SBblends
doped with 20wt% ZnO significantly increased their MH, and the addition of zinc to the SEB-blends augmented
the MH values in all cases.This investigation was supported by grants
CICOM/FEDER MAT2014-52036P and AUIP-JA 201
Explosion in Virtual Assets (Cryptocurrencies)
The goal of this research is to analyze the presence of financial bubbles or an explosive behavior in four cryptocurrencies: Ethereum, Ripple, Bitcoin Cash, and EOS. The assets' selection was based on market capitalization. The methodology implemented was a simple and generalized test (SADF and GSADF) of a variation of the augmented Dickey-Fuller test proposed by Phillips et al. (2011, 2015). We found ten, seven, six and seven exuberant behaviors in the aforesaid assets, respectively. This methodology has been largely unexplored and could be employed on a standard basis in the financial sector for any other asset. This is the first research that detects this type of behavior for a group of cryptocurrencies with daily frequency. With the present research and the paper of Li et al. (2018), 68.47% of the market has been analyzed under the methodology. Consequently, this behavior could be dispersed throughout the sector.(Explosión en Activos Virtuales (Criptomonedas))El objetivo de esta investigación es analizar la presencia de burbujas financieras o un comportamiento explosivo en cuatro criptomonedas: Ethereum, Ripple, Bitcoin Cash y EOS. La selección de los activos se basó en la capitalización de mercado. La metodología implementada fue una prueba simple y generalizada (SADF y GSADF) de una variación de la prueba aumentada de Dickey-Fuller propuesta por Phillips et al. (2011, 2015). Encontramos diez, siete, seis y siete comportamientos exuberantes en los activos mencionados, respectivamente. Esta metodología ha sido en gran parte inexplorada y podría emplearse de manera estándar en el sector financiero para cualquier otro activo. Esta es la primera investigación que detecta este tipo de comportamiento para un grupo de criptomonedas con frecuencia diaria. Con el presente trabajo y el artículo de Li et al. (2018), el 68,47% del mercado ha sido analizado bajo la metodología. En consecuencia, este comportamiento podría estar disperso en todo el sector.
Percepción social sobre el Pago por Servicios Ambientales Hidrológicos en la Reserva de la Biósfera Mariposa Monarca.
En el presente trabajo se analizan los resultados de un estudio estadísticamente representativo en torno a la percepción social que tienen los núcleos agrarios que se encuentran al interior de la Reserva de la Biósfera Mariposa Monarca sobre el impacto socioeconómico del Pago por Servicios Ambientales Hidrológicos. Los resultados indican que esta política ambiental tiene una buena aceptación de los dueños de los terrenos forestales porque consideran que favorece la provisión de los servicios ecosistémicos, a pesar de que no perciban importantes beneficios económicos derivados de su participación en el programa
An exploratory analysis of C-X-C motif chemokine ligand 10 as a new biomarker of asymptomatic Leishmania infantum infection in solid-organ transplant recipients
Objective: Sensitive and less laborious assays are needed to detect asymptomatic Leishmania among solid organ transplant (SOT) recipients. Using SLA-stimulated plasma from SOT recipients living where an outbreak of Leishmania infantum occurred, we examined potential biomarkers to identify asymptomatic Leishmania infections. Methods: Concentrations of cytokines/chemokines in plasma from whole blood stimulated with specific Leishmania antigen (SLA) were compared against infection status as determined by a currently used cell proliferation assay. Results: Twenty-six percent (13/50) of the SOT recipients had a cell proliferation assay (CPA) indicating asymptomatic infection, and showed higher processed plasma C-X-C motif chemokine ligand 10 (CXCL10 or IP-10) concentrations than did non-infected subjects (median 2272.0 pg/ml [IQR 1570-2772] vs. 18.2 pg/ml [IQR 1-150.1]; p<0.0001). CXCL10 showed a sensitivity of 93% and a specificity of 95% compared to CPA. In addition, we demonstrated that the number of asymptomatic infections detected using CXCL10, decreased with distance from a park at the center of the mentioned outbreak. Conclusion: CXCL10 in plasma from SLA-stimulated blood could be a robust biomarker of asymptomatic L. infantum infection in solid organ transplant recipients.This study was co-funded by the World Health Organization (APW-2012/271093-O), and the Spanish Ministry of Science and Universities (via Proyecto Integrado de Excelencia [PIE] 13/00045). Additional funding was provided by the Instituto de Salud Carlos III via project PI18CIII/00028 and DTS16CIII/00010, and via the Red de Enfermedades Tropicales, Subprograma RETICS del Plan Estatal de I+D+I 2013–2016, which is co-supported by FEDER “Una Manera de Hacer Europa” funds via project RD16CIII/0003/0002. M.F.R. holds a “Miguel Servet” (CP18/00073) research contract from the Spanish Ministry of Science and Innovation, Instituto de Salud Carlos III. The funders had no role in the design of the study, data collection, or the interpretation of the results.S
Electrochemical Mineralization of Ibuprofen on BDD Electrodes in an Electrochemical Flow Reactor: Numerical Optimization Approach
Statistical analysis was applied to optimize the electrochemical mineralization of ibuprofen with two boron-doped diamond (BDD) electrodes in a continuous electrochemical flow reactor under recirculation batch mode. A central composite rotatable (CCR) experimental design was used to analyze the e ect of initial pH (2.95–13.04), current intensity (2.66–4.34 A), and volumetric flow rate (0.16–1.84 L/min) and further optimized by response surface methodology (RSM) to obtain the maximum mineralization e ciency and the minimum specific energy consumption. A 91.6% mineralization e ciency (EM) of ibuprofen with a specific energy consumption (EC) of 4.36 KW h/g TOC within 7 h of treatment was achieved using the optimized operating parameters (pH0 = 12.29, I = 3.26 A, and Q of 1 L/min). Experimental results of RSM were fitted via a third-degree polynomial regression equation having the performance index determination coe cients (R2) of 0.8658 and 0.8468 for the EM and EC, respectively. The reduced root-mean-square error (RMSE) was 0.1038 and 0.1918 for EM and EC, respectively. This indicates an e cient predictive performance to optimize the operating parameters of the electrochemical flow reactor with desirability of 0.9999993. Besides, it was concluded that the optimized conditions allow to achieve a high percentage of ibuprofen mineralization (91.6%) and a cost of 0.002 USD $/L. Therefore, the assessed process is e cient for wastewater remediation.CONACyT (791495 y 740588
Applications and multidisciplinary perspective on 3D printing techniques: Recent developments and future trends
In industries as diverse as automotive, aerospace, medical, energy, construction, electronics, and food, the engineering technology known as 3D printing or additive manufacturing facilitates the fabrication of rapid prototypes and the delivery of customized parts. This article explores recent advancements and emerging trends in 3D printing from a novel multidisciplinary perspective. It also provides a clear overview of the various 3D printing techniques used for producing parts and components in three dimensions. The application of these techniques in bioprinting and an up-to-date comprehensive review of their positive and negative aspects are covered, as well as the variety of materials used, with an emphasis on composites, hybrids, and smart materials. This article also provides an updated overview of 4D bioprinting technology, including biomaterial functions, bioprinting materials, and a targeted approach to various tissue engineering and regenerative medicine (TERM) applications. As a foundation for anticipated developments for TERM applications that could be useful for their successful usage in clinical settings, this article also examines present challenges and obstacles in 4D bioprinting technology. Finally, the article also outlines future regulations that will assist researchers in the manufacture of complex products and in the exploration of potential solutions to technological issues
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