Morphology of peripheral airways in current smokers and ex-smokers

To investigate the effect of smoking status on pulmonary function and pathologic changes in the peripheral airways, we studied 97 patients who underwent thoracotomy for coin lesions. The patients were divided into 4 groups: nonsmokers (n = 9), current smokers (n = 51), and those who had ceased smoking for less than (n = 18) or more than (n = 19) 2 yr prior to surgery. We found that current smokers had evidence of air-flow obstruction with abnormal lung volumes when compared with nonsmokers. Ex-smokers had lung volumes similar to those of nonsmokers, but showed evidence of obstruction, with the FEV1/FVC between the values found for nonsmokers and current smokers. Examination of the small airways showed that the membranous bronchioles of current smokers and ex-smokers displayed only increased goblet cell metaplasia when compared with those in nonsmokers; the respiratory bronchioles of current and ex-smokers showed increases in intraluminal and airway wall inflammatory cells, wall fibrosis, and pigment deposition. We conclude that patients who currently smoke cigarettes have reduced lung function that is associated with abnormalities of airway structure. Although those who have stopped smoking have function that is closer to the nonsmoking group, there is no apparent difference in structural change between current and ex-smokers.     

Intruder alert! Optimization models for solving the mobile robot graph-clear problem

We develop optimization approaches to the graph-clear problem, a pursuit-evasion problem where mobile robots must clear a facility of intruders. The objective is to minimize the number of robots required. We contribute new formal results on progressive and contiguous assumptions and their impact on algorithm completeness. We present mixed-integer linear programming and constraint programming models, as well as new heuristic variants for the problem, comparing them to previously proposed heuristics. Our empirical work indicates that our heuristic variants improve on those from the literature, that constraint programming finds better solutions than the heuristics in run-times reasonable for the application, and that mixed-integer linear programming is superior for proving optimality. Given their performance and the appeal of the model-and-solve framework, we conclude that the proposed optimization methods are currently the most suitable for the graph-clear problem.     

Ontology-driven hypothesis generation to explain anomalous patient responses to treatment

Within the medical domain there are clear expectations as to how a patient should respond to treatments administered. When these responses are not observed it can be challenging for clinicians to understand the anomalous responses. The work reported here describes a tool which can detect anomalous patient responses to treatment and further suggest hypotheses to explain the anomaly. In order to develop this tool, we have undertaken a study to determine how Intensive Care Unit (ICU) clinicians identify anomalous patient responses; we then asked further clinicians to provide potential explanations for such anomalies. The high level reasoning deployed by the clinicians has been captured and generalised to form the procedural component of the ontology-driven tool. An evaluation has shown that the tool successfully reproduced the clinician’s hypotheses in the majority of cases. Finally, the paper concludes by describing planned extensions to this work.     

Developing Skype-Based Reference Services

ABSTRACT

Internet voice and video calling have demonstrated a dramatic rise in quality in the past several years and have quickly become communication technologies with a disruptive impact on society. Librarians, who regularly adopt such technologies in outreach and public services, should evaluate Web-calling programs as potential sources of innovative reference programming. This article describes the development of Skype video and Internet telephony pilot reference services at the Ohio University Libraries and considers the utility of Skype and VoIP in a library setting.     

A REVIEW OF FATIGUE CRACK GROWTH CHARACTERISATION BY LINEAR ELASTIC FRACTURE MECHANICS (LEFM). PART I—PRINCIPLES AND METHODS OF DATA GENERATION

Abstract— The application of linear elastic fracture mechanics (LEFM) to the characterisation of fatigue crack growth has been reviewed. In Part I the present understanding of the factors influencing growth rate is summarised, and the current methods of fatigue crack growth rate data generation are considered in the light of this. In Part II, documents are reviewed which provide advice on the prediction of fatigue crack growth and also those national standards in which fatigue crack growth considerations are implicit.     

An Observational Study of Dual Display Usage in University Classroom Lectures

We report a study of how dual display screens were used in classroom lectures for university-level courses across a variety of disciplines during five academic terms over a 2-year period. Our goal was to understand the pedagogical consequences of using more than a single electronic display screen to support classroom lectures. We deployed an in-house software system (MultiPresenter) in real classrooms. We examined the use of MultiPresenter by 8 university instructors who taught 15 courses with a total of 1,147 students during 13-week regular terms or 6-week summer terms. We observed classroom lectures, interviewed instructors, collected screen images and log files of MultiPresenter usage, and administered questionnaires to students about their subjective impressions. Based on these data, we analyzed how instructors used MultiPresenter in order to identify examples of how multiple display screens might best be used for educational purposes. The analysis revealed that the following practices are beneficial: the ability to keep information persistent for extended periods, the increased flexibility in where and when information is shown, capability for side-by-side comparison of full screens of information, simultaneous visibility of both overview (“roadmap”) and detailed (“content”) information, and extra space to annotate information. Possible hazards include difficulty focusing on specific information amidst a large amount of information and too much information changing too quickly without proper indication of the changes.     

Potentiometric biosensor employing catalytic antibodies as the molecular recognition element

Catalytic antibodies are introduced as an important new class of biomolecules for molecular recognition in biosensors in which the binding sites are continually regenerated by the catalytic reaction of the substrate. Consequently, molecular recognition by catalytic antibodies can yield reversible immunoblosensors. In this example, a prototype potentiometric biosensor is described in which a micro-pH electrode is modified with a catalytic antibody that catalyzes the hydrolysis of phenyl acetate, producing hydrogen ions that can be monitored by the electrode. The reversible response is linear with the log of substrate concentration over a range of 20-500 microM with a detection limit of 5 microM under the conditions of this study. Alternative applications of catalytic antibodies in other biosensor configurations are discussed.