Agricultural use of organic wastes as source of nitrogen and phosphorus: risks and opportunities

El nitrógeno (N) y el fósforo (P) son nutrientes esenciales en la producción de cultivos. El desarrollo de los fertilizantes de síntesis durante el siglo XX permitió una intensificación de la agricultura y un aumento de las producciones pero a su vez el gran input de nutrientes ha resultado en algunos casos en sistemas poco eficientes incrementando las pérdidas de estos nutrientes al medio ambiente. En el caso del P, este problema se agrava debido a la escasez de reservas de roca fosfórica necesaria para la fabricación de fertilizantes fosfatados. La utilización de residuos orgánicos en agricultura como fuente de N y P es una buena opción de manejo que permite valorizar la gran cantidad de residuos que se generan. Sin embargo, es importante conocer los procesos que se producen en el suelo tras la aplicación de los mismos, ya que influyen en la disponibilidad de nutrientes que pueden ser utilizados por el cultivo así como en las pérdidas de nutrientes de los agrosistemas que pueden ocasionar problemas de contaminación. Aunque la dinámica del N en el suelo ha sido más estudiada que la del P, los problemas importantes de contaminación por nitratos en zonas vulnerables hacen necesaria la evaluación de aquellas prácticas de manejo que pudieran agravar esta situación, y en el caso de los residuos orgánicos, la evaluación de la respuesta agronómica y medioambiental de la aplicación de materiales con un alto contenido en N (como los residuos procedentes de la industria vinícola y alcoholera). En cuanto al P, debido a la mayor complejidad de su ciclo y de las reacciones que ocurren en el suelo, hay un mayor desconocimiento de los factores que influyen en su dinámica en los sistemas suelo-planta, lo que supone nuevas oportunidades de estudio en la evaluación del uso agrícola de los residuos orgánicos. Teniendo en cuenta los conocimientos previos sobre cada nutriente así como las necesidades específicas en el estudio de los mismos, en esta Tesis se han evaluado: (1) el efecto de la aplicación de residuos procedentes de la industria vinícola y alcoholera en la dinámica del N desde el punto de vista agronómico y medioambiental en una zona vulnerable a la contaminación por nitratos; y (2) los factores que influyen en la disponibilidad de P en el suelo tras la aplicación de residuos orgánicos. Para ello se han llevado a cabo incubaciones de laboratorio así como ensayos de campo que permitieran evaluar la dinámica de estos nutrientes en condiciones reales. Las incubaciones de suelo en condiciones controladas de humedad y temperatura para determinar el N mineralizado se utilizan habitualmente para estimar la disponibilidad de N para el cultivo así como el riesgo medioambiental. Por ello se llevó a cabo una incubación en laboratorio para conocer la velocidad de mineralización de N de un compost obtenido a partir de residuos de la industria vinícola y alcoholera, ampliamente distribuida en Castilla-La Mancha, región con problemas importantes de contaminación de acuíferos por nitratos. Se probaron tres dosis crecientes de compost correspondientes a 230, 460 y 690 kg de N total por hectárea que se mezclaron con un suelo franco arcillo arenoso de la zona. La evolución del N mineral en el suelo a lo largo del tiempo se ajustó a un modelo de regresión no lineal, obteniendo valores bajos de N potencialmente mineralizable y bajas contantes de mineralización, lo que indica que se trata de un material resistente a la mineralización y con una lenta liberación de N en el suelo, mineralizándose tan solo 1.61, 1.33 y 1.21% del N total aplicado con cada dosis creciente de compost (para un periodo de seis meses). Por otra parte, la mineralización de N tras la aplicación de este material también se evaluó en condiciones de campo, mediante la elaboración de un balance de N durante dos ciclos de cultivo (2011 y 2012) de melón bajo riego por goteo, cultivo y manejo agrícola muy característicos de la zona de estudio. Las constantes de mineralización obtenidas en el laboratorio se ajustaron a las temperaturas reales en campo para predecir el N mineralizado en campo durante el ciclo de cultivo del melón, sin embargo este modelo generalmente sobreestimaba el N mineralizado observado en campo, por la influencia de otros factores no tenidos en cuenta para obtener esta predicción, como el N acumulado en el suelo, el efecto de la planta o las fluctuaciones de temperatura y humedad. Tanto el ajuste de los datos del laboratorio al modelo de mineralización como las predicciones del mismo fueron mejores cuando se consideraba el efecto de la mezcla suelo-compost que cuando se aislaba el N mineralizado del compost, mostrando la importancia del efecto del suelo en la mineralización del N procedente de residuos orgánicos. Dado que esta zona de estudio ha sido declarada vulnerable a la contaminación por nitratos y cuenta con diferentes unidades hidrológicas protegidas, en el mismo ensayo de campo con melón bajo riego por goteo se evaluó el riesgo de contaminación por nitratos tras la aplicación de diferentes dosis de compost bajo dos regímenes de riego, riego ajustado a las necesidades del cultivo (90 ó 100% de la evapotranspiración del cultivo (ETc)) o riego excedentario (120% ETc). A lo largo del ciclo de cultivo se estimó semanalmente el drenaje mediante la realización de un balance hídrico, así como se tomaron muestras de la solución de suelo y se determinó su concentración de nitratos. Para evaluar el riesgo de contaminación de las aguas subterráneas asociado con estas prácticas, se utilizaron algunos índices medioambientales para determinar la variación en la calidad del agua potable (Índice de Impacto (II)) y en la concentración de nitratos del acuífero (Índice de Impacto Ambiental (EII)). Para combinar parámetros medioambientales con parámetros de producción, se calculó la eficiencia de manejo. Se observó que la aplicación de compost bajo un régimen de riego ajustado no aumentaba el riesgo de contaminación de las aguas subterráneas incluso con la aplicación de la dosis más alta. Sin embargo, la aplicación de grandes cantidades de compost combinada con un riego excedentario supuso un incremento en el N lixiviado a lo largo del ciclo de cultivo, mientras que no se obtuvieron mayores producciones con respecto al riego ajustado. La aplicación de residuos de la industria vinícola y alcoholera como fuente de P fue evaluada en suelos calizos caracterizados por una alta capacidad de retención de P, lo cual en algunos casos limita la disponibilidad de este nutriente. Para ello se llevó a cabo otro ensayo de incubación con dos suelos de diferente textura, con diferente contenido de carbonato cálcico, hierro y con dos niveles de P disponible; a los que se aplicaron diferentes materiales procedentes de estas industrias (con y sin compostaje previo) aportando diferentes cantidades de P. A lo largo del tiempo se analizó el P disponible del suelo (P Olsen) así como el pH y el carbono orgánico disuelto. Al final de la incubación, con el fin de estudiar los cambios producidos por los diferentes residuos en el estado del P del suelo se llevó a cabo un fraccionamiento del P inorgánico del suelo, el cual se separó en P soluble y débilmente enlazado (NaOH-NaCl-P), P soluble en reductores u ocluido en los óxidos de Fe (CBD-P) y P poco soluble precipitado como Ca-P (HCl-P); y se determinó la capacidad de retención de P así como el grado de saturación de este elemento en el suelo. En este ensayo se observó que, dada la naturaleza caliza de los suelos, la influencia de la cantidad de P aplicado con los residuos en el P disponible sólo se producía al comienzo del periodo de incubación, mientras que al final del ensayo el incremento en el P disponible del suelo se igualaba independientemente del P aplicado con cada residuo, aumentando el P retenido en la fracción menos soluble con el aumento del P aplicado. Por el contrario, la aplicación de materiales orgánicos menos estabilizados y con un menor contenido en P, produjo un aumento en las formas de P más lábiles debido a una disolución del P retenido en la fracción menos lábil, lo cual demostró la influencia de la materia orgánica en los procesos que controlan el P disponible en el suelo. La aplicación de residuos aumentó el grado de saturación de P de los suelos, sin embargo los valores obtenidos no superaron los límites establecidos que indican un riesgo de contaminación de las aguas. La influencia de la aplicación de residuos orgánicos en las formas de P inorgánico y orgánico del suelo se estudió además en un suelo ácido de textura areno francosa tras la aplicación en campo a largo plazo de estiércol vacuno y de compost obtenido a partir de biorresiduos, así como la aplicación combinada de compost y un fertilizante mineral (superfosfato tripe), en una rotación de cultivos. En muestras de suelo recogidas 14 años después del establecimiento del experimento en campo, se determinó el P soluble y disponible, la capacidad de adsorción de P, el grado de saturación de P así como diferentes actividades enzimáticas (actividad deshidrogenasa, fosfatasa ácida y fosfatasa alcalina). Las diferentes formas de P orgánico en el suelo se estudiaron mediante una técnica de adición de enzimas con diferentes substratos específicos a extractos de suelo de NaOH-EDTA, midiendo el P hidrolizado durante un periodo de incubación por colorimetría. Las enzimas utilizadas fueron la fosfatasa ácida, la nucleasa y la fitasa las cuales permitieron identificar monoésteres hidrolizables (monoester-like P), diésteres (DNA-like P) e inositol hexaquifosfato (Ins6P-like P). La aplicación a largo plazo de residuos orgánicos aumentó el P disponible del suelo proporcionalmente al P aplicado con cada tipo de fertilización, suponiendo un mayor riesgo de pérdidas de P dado el alto grado de saturación de este suelo. La aplicación de residuos orgánicos aumentó el P orgánico del suelo resistente a la hidrólisis enzimática, sin embargo no influyó en las diferentes formas de P hidrolizable por las enzimas en comparación con las observadas en el suelo sin enmendar. Además, las diferentes formas de P orgánico aplicadas con los residuos orgánicos no se correspondieron con las analizadas en el suelo lo cual demostró que éstas son el resultado de diferentes procesos en el suelo mediados por las plantas, los microorganismos u otros procesos abióticos. En este estudio se encontró una correlación entre el Ins6P-like P y la actividad microbiana (actividad deshidrogenasa) del suelo, lo cual refuerza esta afirmación. Por último, la aplicación de residuos orgánicos como fuente de N y P en la agricultura se evaluó agronómicamente en un escenario real. Se estableció un experimento de campo para evaluar el compost procedente de residuos de bodegas y alcoholeras en el mismo cultivo de melón utilizado en el estudio de la mineralización y lixiviación de N. En este experimento se estudió la aplicación de tres dosis de compost: 1, 2 y 3 kg de compost por metro lineal de plantación correspondientes a 7, 13 y 20 t de compost por hectárea respectivamente; y se estudió el efecto sobre el crecimiento de las plantas, la acumulación de N y P en la planta, así como la producción y calidad del cultivo. La aplicación del compost produjo un ligero incremento en la biomasa vegetal acompañado por una mejora significativa de la producción con respecto a las parcelas no enmendadas, obteniéndose la máxima producción con la aplicación de 2 kg de compost por metro lineal. Aunque los efectos potenciales del N y P fueron parcialmente enmascarados por otras entradas de estos nutrientes en el sistema (alta concentración de nitratos en el agua de riego y ácido fosfórico suministrado por fertirrigación), se observó una mayor acumulación de P uno de los años de estudio que resultó en un aumento en el número de frutos en las parcelas enmendadas. Además, la mayor acumulación de N y P disponible en el suelo al final del ciclo de cultivo indicó el potencial uso de estos materiales como fuente de estos nutrientes. ABSTRACT Nitrogen (N) and phosphorus (P) are essential nutrients in crop production. The development of synthetic fertilizers during the 20th century allowed an intensification of the agriculture increasing crop yields but in turn the great input of nutrients has resulted in some cases in inefficient systems with higher losses to the environment. Regarding P, the scarcity of phosphate rock reserves necessary for the production of phosphate fertilizers aggravates this problem. The use of organic wastes in agriculture as a source of N and P is a good option of management that allows to value the large amount of wastes generated. However, it is important to understand the processes occurring in the soil after application of these materials, as they affect the availability of nutrients that can be used by the crop and the nutrient losses from agricultural systems that can cause problems of contamination. Although soil N dynamic has been more studied than P, the important concern of nitrate pollution in Nitrate Vulnerable Zones requires the evaluation of those management practices that could aggravate this situation, and in the case of organic wastes, the evaluation of the agronomic and environmental response after application of materials with a high N content (such as wastes from winery and distillery industries). On the other hand, due to the complexity of soil P cycle and the reactions that occur in soil, there is less knowledge about the factors that can influence its dynamics in the soil-plant system, which means new opportunities of study regarding the evaluation of the agricultural use of organic wastes. Taking into account the previous knowledge of each nutrient and the specific needs of study, in this Thesis we have evaluated: (1) the effect of the application of wastes from the winery and distillery industries on N dynamics from the agronomic and environmental viewpoint in a vulnerable zone; and (2) the factors that influence P availability in soils after the application of organic wastes. With this purposes, incubations were carried out in laboratory conditions as well as field trials that allow to assess the dynamic of these nutrients in real conditions. Soil incubations under controlled moisture and temperature conditions to determine N mineralization are commonly used to estimate N availability for crops together with the environmental risk. Therefore, a laboratory incubation was conducted in order to determine the N mineralization rate of a compost made from wastes generated in the winery and distillery industries, widely distributed in Castilla-La Mancha, a region with significant problems of aquifers contamination by nitrates. Three increasing doses of compost corresponding to 230, 460 and 690 kg of total N per hectare were mixed with a sandy clay loam soil collected in this area. The evolution of mineral N in soil over time was adjusted to a nonlinear regression model, obtaining low values of potentially mineralizable N and low constants of mineralization, indicating that it is a material resistant to mineralization with a slow release of N, with only 1.61, 1.33 and 1.21% of total N applied being mineralized with each increasing dose of compost (for a period of six months). Furthermore, N mineralization after the application of this material was also evaluated in field conditions by carrying out a N balance during two growing seasons (2011 and 2012) of a melon crop under drip irrigation, a crop and management very characteristic of the area of study. The mineralization constants obtained in the laboratory were adjusted to the actual temperatures observed in the field to predict N mineralized during each growing season, however, this model generally overestimated the N mineralization observed in the field, because of the influence of other factors not taken into account for this prediction, as N accumulated in soil, the plant effect or the fluctuations of temperature and moisture. The fitting of the laboratory data to the model as well as the predictions of N mineralized in the field were better when considering N mineralized from the soil-compost mixture rather than when N mineralized from compost was isolated, underlining the important role of the soil on N mineralization from organic wastes. Since the area of study was declared vulnerable to nitrate pollution and is situated between different protected hydrological units, the risk of nitrate pollution after application of different doses compost was evaluated in the same field trial with melon under two irrigation regimes, irrigation adjusted to the crop needs (90 or 100% of the crop evapotranspiration (ETc)) or excedentary irrigation (120% ETc). Drainage was estimated weekly throughout the growing season by conducting a water balance, samples of the soil solution were taken and the concentration of nitrates was determined. To assess the risk of groundwater contamination associated with these practices, some environmental indices were used to determine the variation in the quality of drinking water (Impact Index (II)) and the nitrates concentration in the groundwater (Environmental Impact Index (EII)). To combine environmental parameters together with yield parameters, the Management Efficiency was calculated. It was observed that the application of compost under irrigation adjusted to the plant needs did not represent a higher risk of groundwater contamination even with the application of the highest doses. However, the application of large amounts of compost combined with an irrigation surplus represented an increase of N leaching during the growing season compared with the unamended plots, while no additional yield with respect to the adjusted irrigation strategy is obtained. The application of wastes derived from the winery and distillery industry as source of P was evaluated in calcareous soils characterized by a high P retention capacity, which in some cases limits the availability of this nutrient. Another incubation experiment was carried out using two soils with different texture, different calcium carbonate and iron contents and two levels of available P; to which different materials from these industries (with and without composting) were applied providing different amounts of P. Soil available P (Olsen P), pH and dissolved organic carbon were analyzed along time. At the end of the incubation, in order to study the changes in soil P status caused by the different residues, a fractionation of soil inorganic P was carried out, which was separated into soluble and weakly bound P (NaOH-NaCl- P), reductant soluble P or occluded in Fe oxides (CBD-P) and P precipitated as poorly soluble Ca-P (HCl-P); and the P retention capacity and degree of P saturation were determined as well. Given the calcareous nature of the soils, the influence of the amount of P applied with the organic wastes in soil available P only occurred at the beginning of the incubation period, while at the end of the trial the increase in soil available P equalled independently of the amount of P applied with each residue, increasing the P retained in the least soluble fraction when increasing P applied. Conversely, the application of less stabilized materials with a lower content of P resulted in an increase in the most labile P forms due to dissolution of P retained in the less labile fraction, demonstrating the influence of organic matter addition on soil P processes that control P availability in soil. As expected, the application of organic wastes increased the degree of P saturation in the soils, however the values obtained did not exceed the limits considered to pose a risk of water pollution. The influence of the application of organic wastes on inorganic and organic soil P forms was also studied in an acid loamy sand soil after long-term field application of cattle manure and biowaste compost and the combined application of compost and mineral fertilizer (triple superphosphate) in a crop rotation. Soil samples were collected 14 years after the establishment of the field experiment, and analyzed for soluble and available P, P sorption capacity, degree of P saturation and enzymatic activities (dehydrogenase, acid phosphatase and alkaline phosphatase). The different forms of organic P in soil were determined by using an enzyme addition technique, based on adding enzymes with different substrate specificities to NaOH-EDTA soil extracts, measuring the hydrolyzed P colorimetrically after an incubation period. The enzymes used were acid phosphatase, nuclease and phytase which allowed to identify hydrolyzable monoesters (monoester-like P) diesters (DNA-like P) and inositol hexakisphosphate (Ins6P-like P). The long-term application of organic wastes increased soil available P proportionally to the P applied with each type of fertilizer, assuming a higher risk of P losses given the high degree of P saturation of this soil. The application of organic wastes increased soil organic P resistant to enzymatic hydrolysis, but no influence was observed regarding the different forms of enzyme hydrolyzable organic P compared to those observed in the non-amended soil. Furthermore, the different forms of organic P applied with the organic wastes did not correspond to those analyzed in the soil which showed that these forms in soil are a result of multifaceted P turnover processes in soil affected by plants, microorganisms and abiotic factors. In this study, a correlation between Ins6P-like P and the microbial activity (dehydrogenase activity) of soil was found, which reinforces this claim. Finally, the application of organic wastes as a source of N and P in agriculture was evaluated agronomically in a real field scenario. A field experiment was established to evaluate the application of compost made from wine-distillery wastes in the same melon crop used in the experiments of N mineralization and leaching. In this experiment the application of three doses of compost were studied: 1 , 2 and 3 kg of compost per linear meter of plantation corresponding to 7, 13 and 20 tonnes of compost per hectare respectively; and the effect on plant growth, N and P accumulation in the plant as well as crop yield and quality was studied. The application of compost produced a slight increase in plant biomass accompanied by a significant improvement in crop yield with respect to the unamended plots, obtaining the maximum yield with the application of 2 kg of compost per linear meter. Although the potential effects of N and P were partially masked by other inputs of these nutrients in the system (high concentration of nitrates in the irrigation water and phosphoric acid supplied by fertigation), an effect of P was observed the first year of study resulting in a greater plant P accumulation and in an increase in the number of fruits in the amended plots. In addition, the higher accumulation of available N and P in the topsoil at the end of the growing season indicated the potential use of this material as source of these nutrients.

Knowledge-action integration through the media in indigenous communities in Ecuador

The binomial knowledge/action understood under the biunivocal relationship of both components is the basis of planning from a postmodern approach. Within this binomial, social communication gives appropriate information, nurtures the knowledge that leads to transformative action, promotes participation and enhances the community?s self-esteem and recognition; to deeply reflect on action is a source of new knowledge; and communication fosters the adoption of the new knowledge by the community with new actions that feed the process knowledge/action as a planning source. From this approach the project Radio Message is born as a new communication channel with the aim of offering Andean indigenous communities from the area of Cayambe (Ecuador), a series of multidisciplinary training programs that enable transformative action with a strong effect on the life quality in these communities and their importance as social actors. The contents are designed through participatory communication between the training authorities and the communities themselves, analyzing their opportunities and needs. In this research the impact of social media in the development of more than 100 indigenous communities in Cayambe is analyzed.

Strategic knowledge serendipity and arbitrage & intellectual venture capitalists: An emerging breed of knowledge entrepreneurs; and Part II: Global and Local (GloCal) knowledge logistics for innovation and competitiveness. ACES Working Papers, August 2009

Strategic Knowledge: While entrepreneurship may occur as a natural result of personal drive, it occurs most often, most robustly and is most sustainable in an environment designed to encourage it. Potential entrepreneurs become active entrepreneurs when the conditions are most supportive of their commercial opportunities and their business thus helping channel the two key qualities they exhibit as individuals obsessed maniacs and clairvoyant oracles (Carayannis, GWU Lectures, 2000-2005) and (Carayannis et at, 2003a) towards the generation of sustainable wealth. So far, entrepreneurial scholars who turn into intellectual venture capitalists by founding knowledge-driven companies remain one of the least explored specie in the territory of entrepreneurship. GloCal: The increasing engagement of firms within global knowledge and production networks and their ability to source knowledge globally as well as locally (GloCally), for the development of innovation capacities will shape the future of UK's knowledge resources and its role in the global economy. Practices such as off-shoring R&D activities are widely adopted, creating challenging, and not very well understood, issues related to cross-country and inter-firm knowledge and technology flows. We seek to address the internationalisation and networking of research and innovation activities, including the roles and strategies of enterprises, universities, research centres, governments in a cross-country and inter-sectoral way, to assess the impact and the implications for sustaining and enhancing the competitiveness of UK firms and other British knowledge producers and users.

Global and local (GloCal) knowledge logistics for innovation and competitiveness. ACES Working Papers, August 2010

The increasing engagement of firms within global knowledge and production networks and their ability to source knowledge globally as well as locally (GloCally), for the development of innovation capacities will shape the future of UK's knowledge resources and its role in the global economy. Practices such as off-shoring R&D activities are widely adopted, creating challenging, and not very well understood, issues related to cross-country and inter-firm knowledge and technology flows. We seek to address the internationalisation and networking of research and innovation activities, including the roles and strategies of enterprises, universities, research centres, governments in a cross-country and inter-sectoral way, to assess the impact and the implications for sustaining and enhancing the competitiveness of UK firms and other British knowledge producers and users.

Digital Classics Outside the Echo-Chamber : Teaching, Knowledge Exchange and Public Engagement /

The international perspectives on these issues are especially valuable in an increasingly connected, but still institutionally and administratively diverse world. The research addressed in several chapters in this volume includes issues around technical standards bodies like EpiDoc and the TEI, engaging with ways these standards are implemented, documented, taught, used in the process of transcribing and annotating texts, and used to generate publications and as the basis for advanced textual or corpus research. Other chapters focus on various aspects of philological research and content creation, including collaborative or community driven efforts, and the issues surrounding editorial oversight, curation, maintenance and sustainability of these resources. Research into the ancient languages and linguistics, in particular Greek, and the language teaching that is a staple of our discipline, are also discussed in several chapters, in particular for ways in which advanced research methods can lead into language technologies and vice versa and ways in which the skills around teaching can be used for public engagement, and vice versa. A common thread through much of the volume is the importance of open access publication or open source development and distribution of texts, materials, tools and standards, both because of the public good provided by such models (circulating materials often already paid for out of the public purse), and the ability to reach non-standard audiences, those who cannot access rich university libraries or afford expensive print volumes. Linked Open Data is another technology that results in wide and free distribution of structured information both within and outside academic circles, and several chapters present academic work that includes ontologies and RDF, either as a direct research output or as essential part of the communication and knowledge representation. Several chapters focus not on the literary and philological side of classics, but on the study of cultural heritage, archaeology, and the material supports on which original textual and artistic material are engraved or otherwise inscribed, addressing both the capture and analysis of artefacts in both 2D and 3D, the representation of data through archaeological standards, and the importance of sharing information and expertise between the several domains both within and without academia that study, record and conserve ancient objects. Almost without exception, the authors reflect on the issues of interdisciplinarity and collaboration, the relationship between their research practice and teaching and/or communication with a wider public, and the importance of the role of the academic researcher in contemporary society and in the context of cutting edge technologies. How research is communicated in a world of instant- access blogging and 140-character micromessaging, and how our expectations of the media affect not only how we publish but how we conduct our research, are questions about which all scholars need to be aware and self-critical.

World knowledge in the process of translation

The paper illustrates the role of world knowledge in comprehending and translating texts. A short news item, which displays world knowledge fairly implicitly in condensed lexical forms, was translated by students from English into German. It is shown that their translation strategies changed from a first draft which was rather close to the surface structure of the source text to a final version which took situational aspects, texttypological conventions and the different background knowledge of the respective addressees into account. Decisions on how much world knowledge has to be made explicit in the target text, however, must be based on the relevance principle. Consequences for teaching and for the notions of semantic knowledge and world knowledge are discussed.

Absorptive capacity and the benefits from global reservoirs of knowledge:evidence from a linked China-OECD dataset

This paper investigates the role of absorptive capacity in the diffusion of global technology with sector and firm heterogeneity. We construct the FDI-intensity weighted global R&D stock for each industry and link it to Chinese firm-level panel data relating to 53,981 firms over the period 2001-2005. Non-parametric frontier analysis is employed to explore how absorptive capacity affects technical change and catch-up in the presence of global knowledge spillovers. We find that R&D activities and training at individual firms serve as an effective source of absorptive capability. The contribution of absorptive capacity varies according to the type of FDI and the extent of openness.

Automatically Extracting Procedural Knowledge from Instructional Texts using Natural Language Processing

Procedural knowledge is the knowledge required to perform certain tasks, and forms an important part of expertise. A major source of procedural knowledge is natural language instructions. While these readable instructions have been useful learning resources for human, they are not interpretable by machines. Automatically acquiring procedural knowledge in machine interpretable formats from instructions has become an increasingly popular research topic due to their potential applications in process automation. However, it has been insufficiently addressed. This paper presents an approach and an implemented system to assist users to automatically acquire procedural knowledge in structured forms from instructions. We introduce a generic semantic representation of procedures for analysing instructions, using which natural language techniques are applied to automatically extract structured procedures from instructions. The method is evaluated in three domains to justify the generality of the proposed semantic representation as well as the effectiveness of the implemented automatic system.

Ontology-based knowledge capture and sharing in enterprise organisations

Despite years of effort in building organisational taxonomies, the potential of ontologies to support knowledge management in complex technical domains is under-exploited. The authors of this chapter present an approach to using rich domain ontologies to support sense-making tasks associated with resolving mechanical issues. Using Semantic Web technologies, the authors have built a framework and a suite of tools which support the whole semantic knowledge lifecycle. These are presented by describing the process of issue resolution for a simulated investigation concerning failure of bicycle brakes. Foci of the work have included ensuring that semantic tasks fit in with users’ everyday tasks, to achieve user acceptability and support the flexibility required by communities of practice with differing local sub-domains, tasks, and terminology.

Event trigger identification for biomedical events extraction using domain knowledge

Motivation: In molecular biology, molecular events describe observable alterations of biomolecules, such as binding of proteins or RNA production. These events might be responsible for drug reactions or development of certain diseases. As such, biomedical event extraction, the process of automatically detecting description of molecular interactions in research articles, attracted substantial research interest recently. Event trigger identification, detecting the words describing the event types, is a crucial and prerequisite step in the pipeline process of biomedical event extraction. Taking the event types as classes, event trigger identification can be viewed as a classification task. For each word in a sentence, a trained classifier predicts whether the word corresponds to an event type and which event type based on the context features. Therefore, a well-designed feature set with a good level of discrimination and generalization is crucial for the performance of event trigger identification. Results: In this article, we propose a novel framework for event trigger identification. In particular, we learn biomedical domain knowledge from a large text corpus built from Medline and embed it into word features using neural language modeling. The embedded features are then combined with the syntactic and semantic context features using the multiple kernel learning method. The combined feature set is used for training the event trigger classifier. Experimental results on the golden standard corpus show that >2.5% improvement on F-score is achieved by the proposed framework when compared with the state-of-the-art approach, demonstrating the effectiveness of the proposed framework. © 2014 The Author 2014. The source code for the proposed framework is freely available and can be downloaded at http://cse.seu.edu.cn/people/zhoudeyu/ETI_Sourcecode.zip.

Ontology-Based Model of Representation of Knowledge about Language Mappings

The paper presents a short review of some systems for program transformations performed on the basis of the internal intermediate representations of these programs. Many systems try to support several languages of representation of the source texts of programs and solve the task of their translation into the internal representation. This task is still a challenge as it is effort-consuming. To reduce the effort, different systems of translator construction, ready compilers with ready grammars of outside designers are used. Though this approach saves the effort, it has its drawbacks and constraints. The paper presents the general idea of using the mapping approach to solve the task within the framework of program transformations and overcome the disadvantages of the existing systems. The paper demonstrates a fragment of the ontology model of high-level languages mappings onto the single representation and gives the example of how the description of (a fragment) a particular mapping is represented in accordance with the ontology model.

Designing the System of Remote Knowledge Diagnosing for Students of Technical Specialties

In the article the theoretical aspects of planning of the systems of the controlled from distance diagnosing of level of know ledges of students are resulted on the basis of modern pedagogical theoretical and technological approaches. The practical results of creation of the systems of this type are resulted for organization of testing both in the structure of local networks of higher educational establishments and with access through the global network of Internet.

Review and Outlooks of the Means for Visualization of Syntax Semantics and Source Code. Procedural and Object Oriented Paradigm – Differences

In the article, we have reviewed the means for visualization of syntax, semantics and source code for programming languages which support procedural and/or object-oriented paradigm. It is examined how the structure of the source code of the structural and object-oriented programming styles has influenced different approaches for their teaching. We maintain a thesis valid for the object-oriented programming paradigm, which claims that the activities for design and programming of classes are done by the same specialist, and the training of this specialist should include design as well as programming skills and knowledge for modeling of abstract data structures. We put the question how a high level of abstraction in the object-oriented paradigm should be presented in simple model in the design stage, so the complexity in the programming stage stay low and be easily learnable. We give answer to this question, by building models using the UML notation, as we take a concrete example from the teaching practice including programming techniques for inheritance and polymorphism.

Long-range and high-resolution correlation optical time-domain reflectometry utilizing an all optical chaotic source

A high resolution optical time domain reflectometry (OTDR) based on an all-fiber chaotic source is demonstrated. We analyze the key factors limiting the operational range of such an OTDR, e.g., integral Rayleigh backscattering and the fiber loss, which degrade the optical signal to noise ratio at the receiver side, and then the guideline for counter-act such signal fading is discussed. The experimentally demonstrated correlation OTDR presents ability of 100km sensing range and 8.2cm spatial resolution (1.2 million resolved points), as a verification of the theoretical analysis. To the best of our knowledge, this is the first time that correlation OTDR measurement is performed over such a long distance with such high precision.

Knowledge discovery using multiple sources of biological data

The primary aim of this dissertation is to develop data mining tools for knowledge discovery in biomedical data when multiple (homogeneous or heterogeneous) sources of data are available. The central hypothesis is that, when information from multiple sources of data are used appropriately and effectively, knowledge discovery can be better achieved than what is possible from only a single source. ^ Recent advances in high-throughput technology have enabled biomedical researchers to generate large volumes of diverse types of data on a genome-wide scale. These data include DNA sequences, gene expression measurements, and much more; they provide the motivation for building analysis tools to elucidate the modular organization of the cell. The challenges include efficiently and accurately extracting information from the multiple data sources; representing the information effectively, developing analytical tools, and interpreting the results in the context of the domain. ^ The first part considers the application of feature-level integration to design classifiers that discriminate between soil types. The machine learning tools, SVM and KNN, were used to successfully distinguish between several soil samples. ^ The second part considers clustering using multiple heterogeneous data sources. The resulting Multi-Source Clustering (MSC) algorithm was shown to have a better performance than clustering methods that use only a single data source or a simple feature-level integration of heterogeneous data sources. ^ The third part proposes a new approach to effectively incorporate incomplete data into clustering analysis. Adapted from K-means algorithm, the Generalized Constrained Clustering (GCC) algorithm makes use of incomplete data in the form of constraints to perform exploratory analysis. Novel approaches for extracting constraints were proposed. For sufficiently large constraint sets, the GCC algorithm outperformed the MSC algorithm. ^ The last part considers the problem of providing a theme-specific environment for mining multi-source biomedical data. The database called PlasmoTFBM, focusing on gene regulation of Plasmodium falciparum, contains diverse information and has a simple interface to allow biologists to explore the data. It provided a framework for comparing different analytical tools for predicting regulatory elements and for designing useful data mining tools. ^ The conclusion is that the experiments reported in this dissertation strongly support the central hypothesis.^