1,394 research outputs found

    Blue-green to near-IR switching electroluminescence from Si-rich silicon oxide/nitride bilayer structures

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    Blue green to near-IR switching electroluminescence (EL) has been achieved in a metal-oxide-semiconductor light emitting device, where the dielectric has been replaced by a Si-rich silicon oxide/nitride bilayer structure. To form Si nanostructures, the layers were implanted with Si ions at high energy, resulting in a Si excess of 19%, and subsequently annealed at 1000 °C. Transmission electron microscopy and EL studies allowed ascribing the blue-green emission to the Si nitride related defects and the near-IR band with the emission of the Si-nanoclusters embedded into the SiO2 layer. Charge transport analysis is reported and allows for identifying the origin of this twowavelength switching effect

    Genetic resources and product diversification in a transitioning coffee agroecosystem in Mecayapan, Veracruz, Mexico

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    Objective: To analyze a coffee agroecosystem in agroecological transition, as an alternative for the use and conservation of resources. For this, an agroecological design was carried out associated with three legumes and one cucurbit in coffee cultivation. Design/methodology/approach: Collection and identification of genetic resources present in the agroecosystem, agroecological design associated with three legumes and one cucurbit in coffee cultivation; zig-zag soil sampling for physical, chemical, and biological analyses, data analysis using JASP version 0.16.2. Results: Identification of 42 species of weeds with various uses, as well as the criteria for association of species according to use, the soil analyzes showed that there is a significant connection between micronutrients and nitrogen-fixing bacteria, the variable Boron has influence in the development of nitrogen-fixing bacteria. Limitations on study/implications: The results are applicable to the agroecological model in transition that is presented. Findings/conclusions: Coffee agroecosystems in agroecological transition are slow processes, but they contribute to improving soil conditions. They allow the reappearance of weed species with some use. There is a significant correlation between Boron and the development of nitrogen-fixing bacteria, likewise the physical properties have a direct relationship with their development. Keywords: agroecology, transition, agroecosystemObjective: To analyze a coffee agroecosystem undergoing an agroecological transition —considered as an alternative for the efficient use and the conservation of resources— through an agroecological association design with three legumes and one cucurbit in coffee cultivation. Design/Methodology/Approach: Collection and identification of genetic resources found in the agroecosystem; agroecological association design with three legumes and one cucurbit in a coffee crop; zig-zag soil sampling for physical, chemical, and biological analyses; data analysis using JASP software version 0.16.2. Results: We identified 42 weed species with various uses within the coffee agroecosystem, as well as the criteria for the association of species according to use. The soil analysis showed a significant correlation between micronutrients and nitrogen-fixing bacteria. The boron variable also influences the growth of such bacteria. Study Limitations/Implications: The results apply to the agroecological model in transition presented. Findings/Conclusions: Agroecological transition in coffee agroecosystems is slow but contributes to improving soil conditions. It also allows for the reappearance of usable weed species. There is a significant correlation between boron and the development of nitrogen-fixing bacteria. Likewise, the physical properties of soil have a direct impact on the growth of such bacteri

    Regulation of Kv2.1 channel inactivation by phosphatidylinositol 4,5-bisphosphate.

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    Phosphatidylinositol 4,5-bisphosphate (PIP2) is a membrane phospholipid that regulates the function of multiple ion channels, including some members of the voltage-gated potassium (Kv) channel superfamily. The PIP2 sensitivity of Kv channels is well established for all five members of the Kv7 family and for Kv1.2 channels; however, regulation of other Kv channels by PIP2 remains unclear. Here, we investigate the effects of PIP2 on Kv2.1 channels by applying exogenous PIP2 to the cytoplasmic face of excised membrane patches, activating muscarinic receptors (M1R), or depleting endogenous PIP2 using a rapamycin-translocated 5-phosphatase (FKBP-Inp54p). Exogenous PIP2 rescued Kv2.1 channels from rundown and partially prevented the shift in the voltage-dependence of inactivation observed in inside-out patch recordings. Native PIP2 depletion by the recruitment of FKBP-Insp54P or M1R activation in whole-cell experiments, induced a shift in the voltage-dependence of inactivation, an acceleration of the closed-state inactivation, and a delayed recovery of channels from inactivation. No significant effects were observed on the activation mechanism by any of these treatments. Our data can be modeled by a 13-state allosteric model that takes into account that PIP2 depletion facilitates inactivation of Kv2.1. We propose that PIP2 regulates Kv2.1 channels by interfering with the inactivation mechanism

    Integral

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    Abstract In order to analyze the current process of operation of slaughterhouses and propose actions for an appropriate control, as well as implement the reduction of water used per slaughtered animal, this study of green production applied to the processes in a selected municipal slaughterhouse in Querétaro, Mexico was undertaken. Also, from treatability tests of wastewater, a mobile prototype of water treatment (1.5 m 3 /day) was conceptualized, designed and built. This prototype is operating at the slaughterhouse and demonstrates the efficiency of treatment of those waters. Along with the prototype, this project developed a technological folder with technical specifications, comparative analysis of production units and a business plan that brings together all the necessary information to evaluate the project and the general guidelines to implement it in other municipalities of Querétaro. The business plan is essential to seek funding, partners or investors, and serves as a guide for those leading the implementation of the results obtained in this project at other municipalities. Additionally, an environmental impact study was performed to identify and interpret the environmental impacts of a full scale project, with emphasis on environmental benefits

    Effect of the Ni and Sn impregnation in the microstructural and textural properties of SnO nanoparticles

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    En este trabajo se estudió la síntesis y la caracterización de SnO y el efecto que tiene el Ni y Sn, al ser 2 incorporados a la estructura del SnO por impregnación. La obtención del SnO se realizó utilizando el 2 2 método de precipitación controlada y el Sn y el Ni se adicionaron empleando el método de impregnación. Las técnicas TEM, EDX, XRD y área superficial se usaron para caracterizar los sólidos preparados. Se encontró que la impregnación con Ni conlleva a la formación de soluciones sólidas sustitucionales, dentro del rango de dopado empleado (hasta 3% en moles), y segregación sobre la superficie de las partículas de SnO , lo que explica los efectos generados sobre las propiedades texturales del SnO

    Topological structure of plant-bee networks in four Mexican environments

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    We analyzed the topological structure (e.g., links per species, connectance, core-periphery analyses, specialization, nestedness, modularity) of plant-bee interactions of four areas in Mexico. We used qualitative data (binary networks). Mexico exhibits a complex geography and community variation that can affect bee networks. Network architecture is variable within large spatial scales, thus our results should vary according to site characteristics (La Mancha and Totula in Veracruz, Carrillo Puerto in Quintana Roo, and the Tehuacan-Cuicatlan valley, in Puebla), type of vegetation, endemism, altitude, size of area sampled. Network topology varied among sites, and the presence of nested or modular patterns was analyzed for robustness to simulated species extinctions. The lowest species richness was recorded for the Quintana Roo site (15 plant, 25 bee species), and the highest for the Tehuacan-Cuicatlan valley site (88 plant, 231 bee species). There was a tendency to have more connected networks when species richness was low and networks with greater species richness had a higher number of interactions. The distribution of interactions differed between environments but not due to network size and all were significantly nested. The robustness to cumulative extinctions showed a different pattern at each site; the most robust network was at Carrillo Puerto, which also was the site with less species. Sites with more endemic species (e.g. Tehuacan) had more specialized interactions, and were more susceptible to extinction

    Epidemiological Algorithm for Early Detection of COVID-19 Cases in a Mexican Oncologic Center

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    An early detection tool for latent COVID-19 infections in oncology staff and patients is essential to prevent outbreaks in a cancer center. (1) Background: In this study, we developed and implemented two early detection tools for the radiotherapy area to identify COVID-19 cases opportunely. (2) Methods: Staff and patients answered a questionnaire (electronic and paper surveys, respectively) with clinical and epidemiological information. The data were collected through two online survey tools: Real-Time Tracking (R-Track) and Summary of Factors (S-Facts). Cut-off values were established according to the algorithm models. SARS-CoV-2 qRT-PCR tests confirmed the positive algorithms individuals. (3) Results: Oncology staff members (n = 142) were tested, and 14% (n = 20) were positives for the R-Track algorithm; 75% (n = 15) were qRT-PCR positive. The S-Facts Algorithm identified 7.75% (n = 11) positive oncology staff members, and 81.82% (n = 9) were qRT-PCR positive. Oncology patients (n = 369) were evaluated, and 1.36% (n = 5) were positive for the Algorithm used. The five patients (100%) were confirmed by qRT-PCR. (4) Conclusions: The proposed early detection tools have proved to be a low-cost and efficient tool in a country where qRT-PCR tests and vaccines are insufficient for the population. View Full-Tex

    Validation of surrogate anthropometric indices in older adults: what is the best indicator of high cardiometabolic risk factor clustering?

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    Incluye correccionesThe present study evaluated the ability of five obesity-related parameters, including a body shape index (ABSI), conicity index (CI), body roundness index (BRI), body mass index (BMI), and waist-to-height ratio (WtHR) for predicting increased cardiometabolic risk in a population of elderly Colombians. A cross-sectional study was conducted on 1502 participants (60.3% women, mean age 70 ± 7.6 years) and subjects’ weight, height, waist circumference, serum lipid indices, blood pressure, and fasting plasma glucose were measured. A cardiometabolic risk index (CMRI) was calculated using the participants’ systolic and diastolic blood pressure, triglycerides, high-density lipoprotein and fasting glucose levels, and waist circumference. Following the International Diabetes Federation definition, metabolic syndrome was defined as having three or more metabolic abnormalities. All surrogate anthropometric indices correlated significantly with CMRI (p < 0.01). Receiver operating characteristic curve analysis of how well the anthropometric indices identified high cardiometabolic risk showed that WtHR and BRI were the most accurate indices. The best WtHR and BRI cut-off points in men were 0.56 (area under curve, AUC 0.77) and 4.71 (AUC 0.77), respectively. For women, the WtHR and BRI cut-off points were 0.63 (AUC 0.77) and 6.20 (AUC 0.77), respectively. In conclusion, BRI and WtHR have a moderate discriminating power for detecting high cardiometabolic risk in older Colombian adults, supporting the idea that both anthropometric indices are useful screening tools for use in the elderly

    BNCT research activities at the Granada group and the project NeMeSis: Neutrons for medicine and sciences, towards an accelerator-based facility for new BNCT therapies, medical isotope production and other scientific neutron applications

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    The Granada group in BNCT research is currently performing studies on: nuclear and radiobiological data for BNCT, new boron compounds and a new design for a neutron source for BNCT and other applications, including the production of medical radioisotopes. All these activities are described in this report.Asociación Española Contra el Cáncer (AECC) PS16163811PORRSpanish MINECO FIS2015-69941-C2-1-PJunta de Andalucía P11-FQM-8229Campus of International Excellence BioTic P-BS-64Spanish Fundacion ACSAsociación Capitán AntonioLa Kuadrilla de IznallozSonriendo se Puede Gana
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