Isolierung und Identifizierung von wachstumsfördernden Substanzen für das weinrelevante Bakterium Oenococcus oeni aus Fruchtsäften und Blattextrakten

Neben Tomatensaft wurde eine Vielzahl von Säften und Blattextrakten als Medienzusätze auf Wachstumsförderung bei 30 verschiedenen Oenococcus oeni-Stämmen getestet. Es zeigte sich eine breite Wachstumsförderung bei allen Zusätzen mit Ausnahme von Zitronensaft, sodass die Wachstumsfaktoren keine tomatenspezifischen Inhaltsstoffe sein können und eher ubiquitär in der Pflanzenwelt vorkommen. Das Ausmaß der Wachstumsförderung war stammabhängig sehr unterschiedlich und Tomatensaft stellte keineswegs für alle Stämme den optimalen Medienzusatz dar. Durch Schälen der Früchte war eine für die Analytik hilfreiche Abtrennung schalenspezifischer Inhaltsstoffe möglich, wobei auch die Schalenextrakte großes Potential für die Suche nach Wachstumsfaktoren offenbarten und die Wichtigkeit einer Auftrennung der Frucht in die verschiedenen Fruchtbereiche betonte. Aus Tomatensaft konnte analytisch der anorganische Wachstumsfaktor Mangan identifiziert werden. Die größten Zelldichten der Oenokokken-Stämme wurden hierbei bei 67 µM und 34 mM Manganzusatz erreicht. Bei 13 von 20 getesteten Oenokokkenstämmen konnte bei Zusatz von 34 mM Mangan der Tomatensaft ersetzt werden, bei 4 Stämmen (z. B. Stamm B2) fehlten jedoch noch weitere Wachstumsfaktoren und bei 3 Stämmen (z. B. Stamm B120) kam es zu einem verfrühten Absterben. Da weitere Mineralstoffe sowie veraschte Säfte und Blattextrakte keinen positiven Einfluß auf die Oenokokken-Zelldichte hatten, wurde mittels semipräparativer HPLC nach zusätzlichen organischen Wachstumsfaktoren für den Stamm B2 gesucht. Hierzu wurde der nachfolgende Wachstums-Assay miniaturisiert und erfolgreich auf Microtiterplatten etabliert. Es gelang die Isolierung und Identifizierung eines wachstumsfördernden Trisaccharides aus Mangoschalen-Extrakt, das aus den Zuckern Glucose, Rhamnose und Arabinose bestand. Von den monomeren Zuckern erhöhte lediglich die Arabinose die Zelldichte, das Optimum lag bei 1,5 g/l. Auch aus Zitronenmesokarp-Extrakt war die Isolierung eines wachstumsfördernden arabinosehaltigen Disaccharides möglich, die Menge reichte jedoch noch nicht für eine genaue Identifizierung aus. Desweiteren erwies sich 1,5 g/l Cystein als wachstumsstimulierend. Ein Zusatz aller gefundenen Wachstumsfaktoren (34 mM Mangan, 1,5 g/l Arabinose und 1,5 g/l Cystein) ersetzte den Tomatensaft bei weiteren Oenokokken-Stämmen (z.B. Stamm B120) komplett, wobei bei allen Stämmen sogar eine schnellere Anzucht erfolgte. Neben dem Tomatensaft war auch der Zusatz von Hefeextrakt zum Grundmedium nicht mehr nötig, sodass ein neues vereinfachtes Medium für die Anzucht von Oenokokken mit komplexen Nährstoffansprüchen vorgeschlagen werden konnte. Lediglich beim Stamm B2 zeigte sich noch ein OD-Unterschied von 0,2 in der stationären Phase, der nach Adsorptionsversuchen an Polyvinylpolypyrrolidon auf noch unidentifizierte Polyphenole im Tomatensaft zurückzuführen ist. Aus grünem Tee erwies sich das Polyphenol Epigallocatechingallat (EGCG) konzentrationsabhängig sowohl als Hemmstoff (>550 mg/l EGCG) als auch Wachstumsfaktor (400-500 mg/l EGCG) für den Oenokokken-Stamm B2. Der hemmende als auch der fördernde Einfluss auf das Wachstum wurde mittels Sytox/DAPI-Färbung bestätigt. Der sogenannte „Tomatensaft-Faktor“ ist also nicht eine spezielle Substanz, sondern das synergistische Zusammenwirken mehrerer einfacher Substanzen wie Mineralstoffe, Aminosäuren, Kohlenhydrate und Polyphenole. Auch sind die Oenokokken-Stämme bezüglich ihres Nährstoffbedarfes sehr unterschiedlich, sodass für jeden Stamm einzeln das optimale Substratspektrum ermittelt werden muss.

Colors in Mind: A Novel Paradigm to Investigate Pure Color Imagery

Mental color imagery abilities are commonly measured using paradigms that involve naming, judging, or comparing the colors of visual mental images of well-known objects (e.g., “Is a sunflower darker yellow than a lemon���?). Although this approach is widely used in patient studies, differences in the ability to perform such color comparisons might simply reflect participants’ general knowledge of object colors rather than their ability to generate accurate visual mental images of the colors of the objects. The aim of the present study was to design a new color imagery paradigm. Participants were asked to visualize a color for 3 s and then to determine a visually presented color by pressing 1 of 6 keys. The authors reasoned that participants would react faster when the imagined and perceived colors were congruent than when they were incongruent. In Experiment 1, participants were slower in incongruent than congruent trials but only when they were instructed to visualize the colors. The results in Experiment 2 demonstrate that the congruency effect reported in Experiment 1 cannot be attributed to verbalization of the color that had to be visualized. Finally, in Experiment 3, the congruency effect evoked by mental imagery correlated with performance in a perceptual version of the task. The authors discuss these findings with respect to the mechanisms that underlie mental imagery and patients suffering from color imagery deficits.

Automatic estimation of noise parameters in Fourier-domain optical coherence tomography cross sectional images using statistical information

We present an application and sample independent method for the automatic discrimination of noise and signal in optical coherence tomography Bscans. The proposed algorithm models the observed noise probabilistically and allows for a dynamic determination of image noise parameters and the choice of appropriate image rendering parameters. This overcomes the observer variability and the need for a priori information about the content of sample images, both of which are challenging to estimate systematically with current systems. As such, our approach has the advantage of automatically determining crucial parameters for evaluating rendered image quality in a systematic and task independent way. We tested our algorithm on data from four different biological and nonbiological samples (index finger, lemon slices, sticky tape, and detector cards) acquired with three different experimental spectral domain optical coherence tomography (OCT) measurement systems including a swept source OCT. The results are compared to parameters determined manually by four experienced OCT users. Overall, our algorithm works reliably regardless of which system and sample are used and estimates noise parameters in all cases within the confidence interval of those found by observers.

Interchanging lexical resources on the Semantic Web

Lexica and terminology databases play a vital role in many NLP applications, but currently most such resources are published in application-specific formats, or with custom access interfaces, leading to the problem that much of this data is in ‘‘data silos’’ and hence difficult to access. The Semantic Web and in particular the Linked Data initiative provide effective solutions to this problem, as well as possibilities for data reuse by inter-lexicon linking, and incorporation of data categories by dereferencable URIs. The Semantic Web focuses on the use of ontologies to describe semantics on the Web, but currently there is no standard for providing complex lexical information for such ontologies and for describing the relationship between the lexicon and the ontology. We present our model, lemon, which aims to address these gaps

Valorización de subproductos agrícolas y forestales como sustratos de cultivo en el estado de Oaxaca (México)

El presente trabajo aborda el aprovechamiento de algunos subproductos agrícolas (bagazo de maguey y fibra de coco) y forestales (corteza de pino) en el Estado de Oaxaca (Sur de México). El objetivo principal se centra en localizar, cuantificar y caracterizar estos con vistas a su aplicación como sustratos o componentes de sustratos en cultivos ornamentales, forestales y hortícolas, y a su uso como enmiendas en cultivos tipo. Así mismo se persigue reducir el uso de la turba y la tierra de monte como sustratos mayoritarios en la actualidad. Para la localización de los subproductos se utilizaron los datos de los registros parcelarios de los productores de coco para la obtención de copra (generadores de fibra de coco) de la región costa y de los productores de mezcal (generadores del residuo de bagazo de maguey) de la región valles centrales, así como las ubicaciones de los aserraderos forestales en el Estado de Oaxaca. Se emplea un Sistema de Información Geográfica (SIG) con una cartografía digitalizada de los elementos del medio (clima, geología y suelo), de los cultivos generadores (bagazo de maguey, fibra de coco y corteza de pino), de la agricultura protegida como receptora (tomate) y de la agricultura extensiva con cultivos receptores de enmienda (café, hule, limón, mango, palma de coco y maguey). La producción anual de los residuos se cartografía y cuantifica con los siguientes resultados: bagazo de maguey 624.000 t, fibra de coco 86.000 m3 y 72.000 t de corteza de pino. Mediante el estudio de las características de los suelos de los cultivos receptores y de los requerimientos de materia orgánica de cada cultivo se calcularon las necesidades totales de materia orgánica para cada suelo. Los resultados de las cantidades globales para cada cultivo en todo el Estado muestran una necesidad total de 3.112.000 t de materia orgánica como enmienda. Con los datos obtenidos y a través de un algoritmo matemático se realiza una propuesta de localización de dos plantas de compostaje (de bagazo de maguey y fibra de coco) y cuatro plantas de compostaje de corteza de pino. Con el fin de conocer los subproductos a valorizar como sustrato o componente de sustrato se caracteriza su composición física‐química, siguiendo Normas UNE‐EN, y se analizan mediante Resonancia Magnética Nuclear (RMN). Para el acondicionamiento de bagazo de maguey y la corteza de pino se realizaron ensayos de compostaje. Al final de 241 días la temperatura y la humedad de ambos procesos se encontraban en los rangos recomendados, indicando que los materiales estaban estabilizados y con calidad para ser utilizados como sustrato o componente de sustrato. Para la fibra de coco se realizó el proceso de molienda en seco de conchas de coco provenientes de la comunidad de Río Grande Oaxaca (Principal zona productora de copra en Oaxaca). Posteriormente se emplean los materiales obtenidos como componentes para sustratos de cultivo. Se estudia el compost de bagazo de maguey y siete mezclas; el compost de corteza de pino y ocho mezclas y la fibra de coco con tres mezclas. Estos sustratos alternativos permiten obtener mezclas y reducir el uso de la tierra de monte, turba, arcilla expandida y vermiculita, siendo por tanto una alternativa sostenible para la producción en invernadero. Se elaboraron mezclas especificas para el cultivo de Lilium hibrido asiático y oriental (siete mezclas), sustratos eco‐compatibles para cultivo de tomate (nueve mezclas), para la producción de planta forestal (siete mezclas) y para la producción de plántula hortícola (ocho mezclas). Como resultados más destacados del bagazo de maguey, corteza de pino y las mezclas obtenidas se resume lo siguiente: el bagazo de maguey, con volúmenes crecientes de turba (20, 30, 50 y 60 %) y la corteza de pino, con volúmenes de turba 40 y 60%, presentan valores muy recomendados de porosidad, capacidad de aireación, capacidad de retención de humedad y equilibrio agua‐aire. Para la fibra de coco, la procedente de Río Grande presenta mejor valoración que la muestra comercial de fibra de coco de Morelos. Por último se llevó a cabo la evaluación agronómica de los sustratos‐mezclas, realizando cinco experimentos por separado, estudiando el desarrollo vegetal de cultivos tipo, que se concretan en los siguientes ensayos: 1. Producción de Lilium asiático y oriental en cama para flor de corte; 2. Producción de Lilium oriental en contenedor para flor de corte; 3. Producción de plántula forestal (Pinus greggii E y Pinus oaxacana M); 4. Producción de tomate (Solanum lycopersicum L) y 5. Producción de plántula de tomate en semillero (Solanum lycopersicum L). En relación a la producción de Lilium hibrido asiático en cama los sustratos corteza de pino (CPTU 80:20 v/v), corteza de pino + sustrato comercial (CPSC 80:20 v/v) y corteza de pino+turba+arcilla expandida+vermiculita (CPTAEV2 30:40:15:15 v/v) presentan los mejores resultados. Dichos sustratos también presentan adecuados resultados para Lilium hibrido oriental con excepción de la corteza de pino + turba (CPTU 80:20 v/v). En la producción de Lilium hibrido oriental en contenedor para flor de corte, además de los sustratos de CPSC y CPTAEV2, la mezcla de corteza de pino+turba+arcilla expandida+vermiculita (CPTAEV 70:20:5:5 v/v) manifestó una respuesta favorable. En el ensayo de producción de plántulas de Pinus greggii E y Pinus oaxacana Mirov, las mezclas con corteza de pino+turba+arcilla expandida+vermiculita (CPTAEV2 30:40:15:15 v/v) y bagazo de maguey turba+arcilla expandida+vermiculita (BMTAEV2 30:60:5:5 v/v) son una alternativa que permite disminuir el empleo de turba, arcilla expandida y vermiculita, en comparación con el sustrato testigo de turba+arcilla expandida+vermiculita (TAEV 60:30:10 v/v). En la producción de tomate (Solanum lycopersicum L) frente a la utilización actual del serrín sin compostar (SSC), las mezclas alternativas de bagazo de maguey+turba (BMT 70:30 v/v), fibra de coco de Río Grande (FCRG 100v/v) y corteza de pino+turba (CPT 70:30 v/v), presentaron los mejores resultados en rendimientos. Así mismo, en la producción de plántulas de tomate las dos mezclas alternativas de bagazo de maguey+turba+ arcilla expandida+vermiculita (BMTAEV5 50:30:10:10 v/v) y (BMTAEV6 40:40:10:10 v/v) presentaron mejores resultados que los obtenidos en la mezcla comercial (Sunshine 3), mayoritariamente utilizada en México en la producción de plántula de tomate y hortícola. ABSTRACT This paper addresses the use of some agricultural products (maguey bagasse and coconut fiber) and forestry (pine bark) in the State of Oaxaca (southern Mexico). The principal purpose is to locate, quantify and characterize these with the idea of applying them as substrates or substrate components in ornamental crops, forestry, horticultural, and their use as crop amendments. On the other hand, the reduction of peat and forest soil as main substrates is pursued. For the location of the products, registry parcel data from copra producers (coconut fiber generators) of the coastal region and mescal producers (maguey bagasse residue generators) of the central valleys region, as well as the locations of forest mills in the State of Oaxaca. A Geographic Information System (GIS) with digital mapping of environmental factors (climate, geology and soil), crop generators of residues (maguey bagasse, coconut and pine bark) receptors of amendments such as protected agriculture (tomato) and extensive agriculture crops (coffee, rubber, lemon, mango, coconut and agave). The annual production of waste is mapped and quantified with the following results: 624,000t maguey bagasse, coconut fiber 72,000 m3 and 86,000 t of pine bark. Through the study of receiving crops soils properties of and organic matter requirements of each crop, total needs of organic matter for each soil were estimated. The results of the total quantities for each crop across the state show a total of 3,112,000 t of organic matter needed as amendment. Using that data and a mathematical algorithm, the location of two composting plants (agave bagasse and coconut fiber) and four composting plants pine bark was proposed. In order to know the by‐products that were going to be used as substrates or substrate components, their physical‐chemical composition was analyzed following UNE‐EN technics. Furthermore they were analyzed by Nuclear Magnetic Resonance (NMR). For conditioning of maguey bagasse and pine bark, composting essays were conducted. At the end of 241 days the temperature and humidity of both processes were at the recommended ranges, indicating that the materials were stabilized and had reached the quality to be used as a substrate or substrate component. Coconut shells from the community of Rio Grande Oaxaca (Main copra producing area in Oaxaca) were put through a process of dry milling. Subsequently, the obtained materials were used as components for growing media. We studied the maguey bagasse compost and seven mixtures; the pine bark compost and eight blends and coconut fiber with three mixtures. These alternative substrates allow obtaining mixtures and reduce the use of forest soil, peat, vermiculite and expanded clay, making it a sustainable alternative for greenhouse production. Specific mixtures were prepared for growing Lillium, Asian and eastern hybrids (seven blends), eco‐compatible substrates for tomato (nine mixtures), for producing forest plant (seven mixtures) and for the production of horticultural seedlings (eight mixtures). Results from maguey bagasse, pine bark and mixtures obtained are summarized as follows: the maguey bagasse, with increasing volumes of peat (20, 30, 50 and 60%) and pine bark mixed with 40 and 60% peat by volume, have very recommended values of porosity, aeration capacity, water retention capacity and water‐air balance. Coconut fiber from Rio Grande had better quality than commercial coconut fiber from Morelos. Finally the agronomic evaluation of substrates‐mixtures was carried out conducting five experiments separately: 1. Production of Asiatic and Eastern Lilium in bed for cut flower, 2. Production of oriental Lillium in container for cut flower, 3.Production of forest seedlings (Pinus greggii E and Pinus oaxacana M), 4. Production of tomato (Solanum lycopersicum L) and 5. Tomato seedling production in seedbed (Solanum lycopersicum L). In relation to the production of hybrid Asian Lilium in bed, pine bark substrates (CPTU 80:20 v/v), pine bark + commercial substrate (CPSC 80:20 v/v) and pine bark + peat + expanded clay + vermiculite (CPTAEV2 30:40:15:15 v/v) showed the best results. Such substrates also have adequate results for Lilium Oriental hybrid except pine bark + peat (CPTU 80:20 v / v). In the production of Lilium oriental hybrid container for cut flower, besides the CPSC and CPTAEV2 substrates, the mixture of pine bark + peat + vermiculite expanded clay (CPTAEV 70:20:5:5 v / v) showed a favorable response. In the production of Pinus greggii E and Pinus oaxacana Mirov seedlings trial, mixtures with pine bark + peat + expanded clay + vermiculite (CPTAEV2 30:40:15:15 v/v) and maguey bagasse+ peat+ expanded clay + vermiculite (BMTAEV2 30:60:5:5 v / v) are an alternative which allows reducing the use of peat, vermiculite and expanded clay in comparison with the control substrate made of peat + expanded clay+ vermiculite (60:30 TAEV: 10 v/v). In the production of tomato (Solanum lycopersicum L), alternative mixes of maguey bagasse + peat (BMT 70:30 v/v), coconut fiber from Rio Grande (FCRG 100 v / v) and pine bark + peat (CPT 70:30 v / v) showed the best results in yields versus the current use of sawdust without compost (SSC). Likewise, in the production of tomato seedlings of the two alternative mixtures maguey bagasse + peat expanded clay + vermiculite (BMTAEV5 50:30:10:10 v/v) and (BMTAEV6 40:40:10:10 v/v) had better results than those obtained in the commercial mixture (Sunshine 3), mainly used in Mexico in tomato seedling production and horticulture.

Term variants in ontologies

Uno de los problemas de la representación de conocimiento en terminología es la variación terminológica, ya que los conceptos se pueden lexicalizar mediante unidades terminológicas diferentes. En esta contribución, tras analizar la tipología de las variantes terminológicas propuestas por diferentes autores, nos centramos en cómo se pueden representar las variantes terminológicas con relación a un modelo conceptual. Este enfoque permite atender por un lado a las variantes que apuntan al mismo concepto y se consideran sinónimas, por otro, a las que reflejan una ?distancia semántica? pero se refieren al mismo concepto, y finalmente, a las variantes que están relacionadas mediante un enlace conceptual. Estos casos se ejemplifican mediante lemon, un modelo de lexicón para ontologías.

Some reflections on the IT challenges for a multilingual semantic web

Many attempts have been made to provide multilinguality to the Semantic Web, by means of annotation properties in Natural Language (NL), such as RDFs or SKOS labels, and other lexicon-ontology models, such as lemon, but there are still many issues to be solved if we want to have a truly accessible Multilingual Semantic Web (MSW). Reusability of monolingual resources (ontologies, lexicons, etc.), accessibility of multilingual resources hindered by many formats, reliability of ontological sources, disambiguation problems and multilingual presentation to the end user of all this information in NL can be mentioned as some of the most relevant problems. Unless this NL presentation is achieved, MSW will be restricted to the limits of IT experts, but even so, with great dissatisfaction and disenchantment

Collaborative semantic editing of linked data lexica.

The creation of language resources is a time-consuming process requiring the efforts of many people. The use of resources collaboratively created by non-linguists can potentially ameliorate this situation. However, such resources often contain more errors compared to resources created by experts. For the particular case of lexica, we analyse the case of Wiktionary, a resource created along wiki principles and argue that through the use of a principled lexicon model, namely lemon, the resulting data could be better understandable to machines. We then present a platform called lemon source that supports the creation of linked lexical data along the lemon model. This tool builds on the concept of a semantic wiki to enable collaborative editing of the resources by many users concurrently. In this paper, we describe the model, the tool and present an evaluation of its usability based on a small group of users.

Objective optical classifier for tobacco leaves.

The main objective of the current research was to search the optimum method to segregate the most frequent color commercial quality classes of tobacco leaves (c.v. "Virginia"). These color classes cover the whole continuous color scale, between "Pale Lemon" and "Oxidated Brown". With the usual expert classification there exists a significant level of uncertainty . Within this research, several methods for data discrimination were tested, in order to solve uncertainty. Classification errors below 5% were obtained with this proposed classifier along two different seasons (1994&1995).

Effects of precooling and degreening treatments on the susceptibility of peach and citrus to handling damage.

Mechanical damage to fruits results from a combination of fruit properties and of damage inflicting effects by the handling equipment. Treatments were applied to fruits which affect mechanical damage susceptibility: precooling for stone fruits and degreening to citrus fruits. Laboratory tests (compression, impact, tumbling, abrasion) and field tests (damage in the handling lines) were applied to (3) peach, (2) apricot, (2) orange and (1) lemon varieties. Hydroor-air-cooling influence positively peach and apricot firmness and cause a significant reduction in: number of bruised fruits, and size of visible bruise, when combined with a low level of loading during handling. Degreening also affects the resistance of citrus fruits to handling, when compared to green fruits.

Linguistic linked data for sentiment analysis

In this paper we describe the specification of amodel for the semantically interoperable representation of language resources for sentiment analysis. The model integrates "lemon", an RDF-based model for the specification of ontology-lexica (Buitelaar et al. 2009), which is used increasinglyfor the representation of language resources asLinked Data, with Marl, an RDF-based model for the representation of sentiment annotations (West-erski et al., 2011; Sánchez-Rada et al., 2013)

Generating Linked-Data based Domain-Specific Sentiment Lexicons from Legacy Language and Semantic Resources

We present a methodology for legacy language resource adaptation that generates domain-specific sentiment lexicons organized around domain entities described with lexical information and sentiment words described in the context of these entities. We explain the steps of the methodology and we give a working example of our initial results. The resulting lexicons are modelled as Linked Data resources by use of established formats for Linguistic Linked Data (lemon, NIF) and for linked sentiment expressions (Marl), thereby contributing and linking to existing Language Resources in the Linguistic Linked Open Data cloud.

Enabling Language Resources to expose translations as linked data on the web

Language resources, such as multilingual lexica and multilingual electronic dictionaries, contain collections of lexical entries in several languages. Having access to the corresponding explicit or implicit translation relations between such entries might be of great interest for many NLP-based applications. By using Semantic Web-based techniques, translations can be available on the Web to be consumed by other (semantic enabled) resources in a direct manner, not relying on application-specific formats. To that end, in this paper we propose a model for representing translations as linked data, as an extension of the lemon model. Our translation module represents some core information associated to term translations and does not commit to specific views or translation theories. As a proof of concept, we have extracted the translations of the terms contained in Terminesp, a multilingual terminological database, and represented them as linked data. We have made them accessible on the Web both for humans (via a Web interface) and software agents (with a SPARQL endpoint).

EUROSENTIMENT: Linked Data Sentiment Analysis

Sentiment and Emotion Analysis strongly depend on quality language resources, especially sentiment dictionaries. These resources are usually scattered, heterogeneous and limited to specific domains of appli- cation by simple algorithms. The EUROSENTIMENT project addresses these issues by 1) developing a common language resource representation model for sentiment analysis, and APIs for sentiment analysis services based on established Linked Data formats (lemon, Marl, NIF and ONYX) 2) by creating a Language Resource Pool (a.k.a. LRP) that makes avail- able to the community existing scattered language resources and services for sentiment analysis in an interoperable way. In this paper we describe the available language resources and services in the LRP and some sam- ple applications that can be developed on top of the EUROSENTIMENT LRP.

Linked-data based domain-specific sentiment lexicons

In this paper we present a dataset componsed of domain-specific sentiment lexicons in six languages for two domains. We used existing collections of reviews from Trip Advisor, Amazon, the Stanford Network Analysis Project and the OpinRank Review Dataset. We use an RDF model based on the lemon and Marl formats to represent the lexicons. We describe the methodology that we applied to generate the domain-specific lexicons and we provide access information to our datasets.