Electronic Sensing of Aromatic Volatiles for Quality Sorting of Blueberries

An electronic sniffer using semi-conductor gas sensors that nondestructively measured aromatic volatile gas emissions from fruit was developed to assess blueberry quality. The sniffer detected soft and damaged fruit in packaged containers at a 5% level of damage and distinguished four of five fruit ripeness classes: (1) mature-green and green-pink; (2) blue-pink; (3) blue; and (4) ripe fruit. Sniffer response increased as fruit ripened, as did total concentration of aromatic volatiles. Sniffer response correlated with berry firmness, pH, titratable acidity, and color, and detected differences among 10 cultivars, as did impact response analysis. The electronic sniffer is rapid, nondestructive and may be used to sort and quality check for presence of unripe or damaged fruit in closed packs of fresh berries.     

Ontology-driven document enrichment: principles, tools and applications

In this paper, we present an approach to document enrichment, which consists of developing and integrating formal knowledge models with archives of documents, to provide intelligent knowledge retrieval and (possibly) additional knowledge-intensive services, beyond what is currently available using “standard” information retrieval and search facilities. Our approach is ontology-driven, in the sense that the construction of the knowledge model is carried out in a top-down fashion, by populating a given ontology, rather than in a bottom-up fashion, by annotating a particular document. In this paper, we give an overview of the approach and we examine the various types of issues (e.g. modelling, organizational and user interface issues) which need to be tackled to effectively deploy our approach in the workplace. In addition, we also discuss a number of technologies we have developed to support ontology-driven document enrichment and we illustrate our ideas in the domains of electronic news publishing, scholarly discourse and medical guidelines.     

HYBRID MODELS OF UNCERTAINTY IN PROTEIN TOPOLOGY PREDICTION

Predicting protein structure is an important problem in molecular biology, and one that has attracted much attention. It is also a difficult problem, since the available data are incomplete and pervaded with uncertainty. This paper describes models for the prediction of an intermediate level of protein structure known as the topology of the protein. The models handle uncertainty explicitly, making use of probability, possibility, and evidence theories singly and in combination to handle different aspects of the problem.     

Effect of Continuous Massaging on Bind, Yield, and Color of Hams

Boneless closely trimmed hams were randomly assigned to six treatment groups to determine the effect of massaging time (4, 8, 12, 16, 20, and 24 hr) on selected ham characteristics. All hams were stitch pumped 30% above green boneless weight with a pickle containing water, salt, sugar, sodium tripolyphosphate, sodium erythorbate, and sodium nitrite. Pickled hams were massaged continuously (30 mm forward-30 mm reverse cycle) at 5 rpm in a 4°C cooler. Hams were stuffed into size 7 fibrous casings and processed in a smokehouse to an internal temperature of 67°C. Results showed that a massaging time increased there were significant (P < 0.01) increases in bind, color uniformity, color intensity, and moisture retention.     

A rough set approach to reasoning under uncertainty

Abstract

Reasoning with uncertain information is a problem of key importance when dealing with information about the real world. Obtaining the precise numbers required by many uncertainty handling formalisms can be a problem. The theory of rough sets makes it possible to handle uncertainty without the need for precise numbers, and so has some advantages in such situations. This paper presents an introduction to various forms of reasoning under uncertainty that are based on rough sets. In particular, a number of sets of numerical and symbolic truth values which may be used to augment propositional logic are developed, and a semantics for these values is provided based upon the notion of possible worlds. Methods of combining the truth values are developed so that they may be propagated when augmented logic formulae are combined, and their use is demonstrated in theorem proving.     

Sustainable Architecture and the Pluralist Imagination

In our review of the literature concerning sustainable architecture, we find a remarkably diverse constellation of ideas that defy simple categorization. But rather than lament the apparent inability to standardize a singular approach to degraded environmental and social conditions, we celebrate pluralism as a means to contest technological and scientific certainty. At the same time, we reject epistemological and moral relativism. These twin points of departure lead us to propose a research agenda for an architecture of reflective engagement that is sympathetic to the pragmatist tradition.     

Imaging cells on polymer spherulites

Polymers are commonly used to construct tissue‐engineered medical products and the conditions used to process these polymeric materials can affect their biological performance. For semi‐crystalline polymers, thermal processing conditions can induce crystallization of the polymer chains into spherulites, which cause the polymer surface to become roughened. This change in surface topology can influence cell behaviours such as adhesion, morphology and proliferation. Herein, a simple microscope technique is presented, which combines fluorescence microscopy with transmitted white light microscopy using crossed polarizers. This technique allows simultaneous imaging of cells and polymer spherulites, which enables the biomaterials researcher to observe the effects of spherulites on cell alignment and morphology.