Effects of excitonic diffusion on stimulated emission in nanocrystalline ZnO

We present optically-pumped emission data for ZnO, showing that high excitation effects and stimulated emission / lasing are observed in nanocrystalline ZnO thin films at room temperature, although such effects are not seen in bulk material of better optical quality. A simple model of exciton density profiles is developed which explains our results and those of other authors. Inhibition of exciton diffusion in nanocrystalline samples compared to bulk significantly increases exciton densities in the former, leading, via the nonlinear dependence of emission in the exciton bands on the pump intensity, to large increases in emission and to stimulated emission

Towards the development of safe and commercially viable nickel–iron batteries: improvements to Coulombic efficiency at high iron sulphide electrode formulations

NiFe batteries are emerging as an important energy storage technology but suffer from a hydrogen-producing side reaction which has safety implications and reduces coulombic efficiency. This manuscript describes a systematic improvement approach for the production of Fe/FeS-based anodes at high concentrations of iron sulphide. Electrodes were made by mixing varying amounts of iron sulphide in such a way that its concentration ranges from between 50 and 100 % (compositions expressed on a PTFE-free basis). Electrode performance was evaluated by cycling our in-house-produced anodes against commercially available nickel electrodes. The results show that anodes produced with larger concentrations outperform their lower concentration counterparts in terms of coulombic efficiency although a slight decrease in the overall cell performance was found when using pure FeS anodes. At high FeS concentrations a hydrogen-producing side reaction has been virtually eliminated resulting in coulombic efficiencies of over 95 %. This has important implications for the safety and commercial development of NiFe batteries

Photon emission as a source of coherent behaviour of polaritons

We show that the combined effect of photon emission and Coulomb interactions may drive an exciton-polariton system towards a dynamical coherent state, even without phonon thermalization or any other relaxation mechanism. Exact diagonalization results for a finite system (a multilevel quantum dot interacting with the lowest energy photon mode of a microcavity) are presented in support to this statement

Polariton Lasing in a Multilevel Quantum Dot Strongly Coupled To a Single Photon Mode

We present an approximate analytic expression for the photoluminescence spectral function of a model polariton system, which describes a quantum dot, with a finite number of fermionic levels, strongly interacting with the lowest photon mode of a pillar microcavity. Energy eigenvalues and wavefunctions of the electron-hole-photon system are obtained by numerically diagonalizing the Hamiltonian. Pumping and photon losses through the cavity mirrors are described with a master equation, which is solved in order to determine the stationary density matrix. The photon first-order correlation function, from which the spectral function is found, is computed with the help of the Quantum Regression Theorem. The spectral function qualitatively describes the polariton lasing regime in the model, corresponding to pumping rates two orders of magnitude lower than those needed for ordinary (photon) lasing. The second-order coherence functions for the photon and the electron-hole subsystems are computed as functions of the pumping rate.Comment: version accepted in Phys. Rev.

Evaluación de riesgo psicosocial a partir de la aplicación del instrumento ISTAS 21 para la formulación de estrategias de mejora para A&M Factory

Ingeniería IndustrialEl actual proyecto de investigación se desarrolló implementando un instrumento de evaluación de riesgos psicosociales del Instituto Sindical de Trabajo, Ambiente y Salud ISTAS21 y los Determinantes Sociales de la Salud de la Organización Mundial de la Salud, con el objetivo de intervenir y controlar factores que inciden directa e indirectamente sobre el recurso humano, consecuentemente influyendo sobre la productividad de la empresa. Inicialmente se recurre a herramientas de diagnóstico organizacional para visualizar un esquema general de la situación en cuanto a condiciones de trabajo; se implementó una Matriz DOFA con elementos de las áreas productivas con incidencia tanto interna como externa sobre los cuales repercuten en la producción. Posteriormente al análisis dofa se dan a conocer riesgos implícitos en el entorno laboral, se realiza un análisis general en cuanto a la seguridad laboral que actualmente presenta la empresa mediante la Matriz de Riesgos y Peligros GTC 45 y se reconocen las áreas con mayor afectación, adicional a lo anterior se identifica el riesgo más relevante en todo el proceso. En este orden de ideas, luego de la aplicación de todo el proceso de diagnóstico, el riesgo psicosocial sobre sale entre los riesgos con mayor influencia, permitiendo la participación del instrumento de evaluación de riesgos psicosociales. A partir de lo anterior, se lleva a cabo un registro de las dimensiones psicosociales que impactan repercutiendo sobre las competencias laborales del factor humano, siendo estas vulneradas se han manifestado en el abandono del puesto de trabajo y la rotación frecuente del personal. Finalmente, por cada dimensión psicosocial intervenida por el instrumento, se sugieren unas medidas o estrategias de mejora que permiten controlar el riesgo y mantener un seguimiento del mismo. Seguidamente se presentan recomendaciones propias del contexto interno teniendo en cuenta condiciones o elementos que se pueden manejar; y posteriormente conclusiones del proceso.The present research project was developed by implementing a psychosocial risk assessment instrument of the Trade Union Institute of Labor, Environment and Health ISTAS21 and the Social Determinants of Health of the World Health Organization, with the objective of intervening and controlling factors that directly affect and indirectly on the human resource, consequently influencing the productivity of the company. Initially, organizational diagnostic tools are used to visualize a general scheme of the situation in terms of working conditions; a DOFA Matrix was implemented with elements of the productive areas with internal and external impact on which they affect production. After the Dofa analysis, risks implicit in the work environment are disclosed, a general analysis is made regarding the job security currently presented by the company through the GTC 45 Hazard and Risk Matrix and the areas with the greatest impact, additional to the above, the most relevant risk in the entire process is identified. In this ideas order, after the application of the entire diagnostic process, the psychosocial risk comes out among the most influential risks, allowing the participation of the psychosocial risk assessment instrument. Based on the above, a record of the psychosocial dimensions that impact impacting on the labor competencies of the human factor is carried out, being these violated they have manifested in the abandonment of the job and the frequent rotation of the personnel. Finally, for each psychosocial dimension intervened by the instrument, some improvement measures or strategies are suggested that allow controlling the risk and maintaining a follow-up of it. Following are recommendations of the internal context taking into account conditions or elements that can be managed; and later conclusions of the process

Application of the logistic model to describe the growth curve in dogs of different breeds

ABSTRACT Objective. To model the growth in dogs of different size and breeds that during their development showed a relative body weight according to the standards of their racial group. Materials and methods. The data used were obtained from the Canine Research Center (CIC), property of Empresa Solla S.A., located in the municipality of Rionegro (Antioquia, Colombia). The parameters of the growth curve were defined based on the logistic model using the procedure PROC NLIN of the SAS. Results. The adult weight (a) ranged from 2.12 Kg (York Shire Terrier) to 32.88 Kg (Weimaraner). For small, medium and large breeds, growth rates (1/b) during the exponential phase ranged between 9.91-18.91%, 9.12-13.83% and, 8.17-14.38%, respectively, and the average age at which 50% of the adult weight was reached (x0) was 3.49±0.03, 4.21±0.42 y 5.27±0.86 months, correspondingly. Large dog breeds reached maturity (T99) later than smaller breeds, 14.37±1.79 vs. 9.46±1.63 mo. Conclusions. The logistic model was able to describe the growth in dogs of different size, however, a larger sample size will improve its predictive ability, given the individual variability that characterizes growth

Effects of Kikuyu grass (Pennisetum clandestinum) age and different forage: concentrate ratios on methanogenesis

ABSTRACT Objective. To evaluate the effect of Kikuyu grass (Pennisetum clandestinum) harvested at two different ages and three forage: concentrate supplement ratios (F/C) on methane (CH4) production, dry matter digestibility (DMD), and fermentation profile using the in vitro gas production technique. Materials and methods. six treatments, resulting from the combination of pasture age (30 or 60 days) and F/C (100/0, 75/25, or 50/50) were evaluated using a 2x3 factorial design. The response variables were measured 6, 12, 24 and 48 hours after incubation. A repeated-measure over time design was used to analyze the data, and differences between means were determined with the LSMEANS procedure of SAS. Results. the youngest grass (30 days) was more digestible, produced less CH4 per gram of digestible dry matter (dDM) and more total volatile fatty acids (VFA) compared to the oldest grass (60 days; p 0.05). Conclusions. under in vitro conditions and pH close to neutrality, the older grass reduces DMD and increases CH4 production per gram of dDM, while a F/C reduction increases DMD and CH4 production per gram of dDM, which differs with reports conducted in vivo

ToxDL : deep learning using primary structure and domain embeddings for assessing protein toxicity

Motivation: Genetically engineering food crops involves introducing proteins from other species into crop plant species or modifying already existing proteins with gene editing techniques. In addition, newly synthesized proteins can be used as therapeutic protein drugs against diseases. For both research and safety regulation purposes, being able to assess the potential toxicity of newly introduced/synthesized proteins is of high importance. Results: In this study, we present ToxDL, a deep learning-based approach for in silico prediction of protein toxicity from sequence alone. ToxDL consists of (i) a module encompassing a convolutional neural network that has been designed to handle variable-length input sequences, (ii) a domain2vec module for generating protein domain embeddings and (iii) an output module that classifies proteins as toxic or non-toxic, using the outputs of the two aforementioned modules. Independent test results obtained for animal proteins and cross-species transferability results obtained for bacteria proteins indicate that ToxDL outperforms traditional homology-based approaches and state-of-the-art machine-learning techniques. Furthermore, through visualizations based on saliency maps, we are able to verify that the proposed network learns known toxic motifs. Moreover, the saliency maps allow for directed in silico modification of a sequence, thus making it possible to alter its predicted protein toxicity

The SASSCAL contribution to climate observation, climate data management and data rescue in Southern Africa

A major task of the newly established "Southern African Science Service Centre for Climate Change and Adaptive Land Management" (SASSCAL; www.sasscal.org) and its partners is to provide science-based environmental information and knowledge which includes the provision of consistent and reliable climate data for Southern Africa. Hence, SASSCAL, in close cooperation with the national weather authorities of Angola, Botswana, Germany and Zambia as well as partner institutions in Namibia and South Africa, supports the extension of the regional meteorological observation network and the improvement of the climate archives at national level. With the ongoing rehabilitation of existing weather stations and the new installation of fully automated weather stations (AWS), altogether 105 AWS currently provide a set of climate variables at 15, 30 and 60 min intervals respectively. These records are made available through the SASSCAL WeatherNet, an online platform providing near-real time data as well as various statistics and graphics, all in open access. This effort is complemented by the harmonization and improvement of climate data management concepts at the national weather authorities, capacity building activities and an extension of the data bases with historical climate data which are still available from different sources. These activities are performed through cooperation between regional and German institutions and will provide important information for climate service related activities

Procesamiento del grano de maíz sobre la cinética de degradación de la materia seca in vitro

RESUMENObjetivo. Determinar el efecto del procesamiento del grano de maíz sobre la cinética de degradación y fermentación de la materia seca in vitro. Materiales y métodos. Se evaluaron cinco tratamientos, cada uno constó de una mezcla con dos especies, 70% pasto Kikuyo (Pennisetum clandestinum) y 30% grano de maíz (Zea mays). El grano fue sometido a diferentes procesamientos: maíz grueso seco (MGS), maíz fino seco (MFS), maíz reconstituido (MGH), reconstituido y ensilado (MGE) y ensilado con urea (MGEU). Se realizó la técnica de gas in vitro para medir parámetros de degradación y de producción de gas en diferentes horarios hasta las 48 h. Se utilizaron los modelos de Gompertz y Ørskov y McDonald para ajustar las curvas de producción de gas y degradación de MS y se evaluaron con PROC NLIN de SAS. Resultados. Los mayores volúmenes acumulados fueron obtenidos con los tratamientos MFS y MGEU con 552.5 ml y 524.03 ml, respectivamente y fueron diferentes al tratamiento MGS (p<0.05). El potencial de degradación (A+B) en MGS mostró el menor valor, siendo diferente (p<0.05) a los tratamientos MFS, MGE y MGEU. Conclusiones. El tipo de procesamiento del grano de máiz molido fino, reconstituido, ensilado con y sin urea mejoraron significativamente los parámetros de fermentación y degradación de la MS. El uso de grano molido fino (2 mm) puede ser reemplazado por grano grueso reconstituido y ensilado, el cual resulta más económico que la molienda fina