GODDESS: A Goal-Directed Decision Structuring System

This paper describes an operational version of a computerized, domain-independent, decision support system which is based on a novel, goal-directed structure for representing decision problems. The structure allows the user to state relations among aspects, effects, conditions, and goals, in addition to actions and states which are the basic components of the traditional decision tree approach. The program interacts with the user in a stylized English-like dialogue, starting with the stated objectives and proceeding to unravel the more detailed means by which these objectives can be realized. At any point in time, the program focuses the user's attention on the issues which are most crucial to the problem at hand. The structure used is more compatible with the way people encode knowledge about problems and actions, and therefore promises to offer the following advantages: 1) judgments and beliefs issued by the user constitute a more valid representation of the user's experience; and 2) the user may be guided toward the discovery of action alternatives he otherwise would not have identified.     

Hypertext: the next maintenance mountain

Hypertext documents are quickly becoming large, complex, and unwieldy. The paper considers whether lessons learned from software maintenance can be applied to the problem. Since software maintenance is a major problem and since hypertext documents share many of the characteristics of software: structure, development process, and economic value, maintaining hypertext documents is also likely to become a major problem requiring immediate action     

Self Organising Maps for variable selection: Application to human saliva analysed by nuclear magnetic resonance spectroscopy to investigate the effect of an oral healthcare product

SOMs (Self Organising Maps) are derived from the machine learning literature and serve as a valuable method for representing data. In this paper, the use of SOMs as a technique for determining the most significant variables (or markers) in a dataset is described. The method is applied to the NMR spectra of 96 human saliva samples, half of which have been treated with an oral rinse formulation and half of which are controls, and 49 variables consisting of bucketed intensities. In addition, three simulations, two of which consist of the same number of samples and variables as the experimental dataset and a third that contains a much larger number of variables, are described. Two of the simulations contain known discriminatory variables, and the remaining is treated as a null dataset without any specific discriminatory variables added. The described SOM method is contrasted to Partial Least Squares Discriminant Analysis, and a list of the markers determined to be most significant using both approaches was obtained and the differences arising are discussed. A SOM Discrimination Index (SOMDI) is defined, whose magnitude relates to how strongly a variable is considered to be a discriminator. In order to ensure that the model is stable and not dependent on the random starting point of the SOM, one hundred iterations were performed and variables that were consistently of high rank were selected. A variety of approaches for data representation are illustrated, and the main theoretical principles of employing SOMs for determining which variables are most significant are outlined. Software used in this paper was written in-house, allowing greater flexibility over existing packages, and tailored for the specific application in hand.     

SmartClients: Constraint Satisfaction as a Paradigm for Scaleable Intelligent Information Systems

Many information systems are used in a problem solving context. Examples are travel planning systems, catalogs in electronic commerce, or agenda planning systems. They can be made more useful by integrating problem-solving capabilities into the information systems. This poses the challenge of scaleability: when hundreds of users access a server at the same time, it is important to avoid excessive computational load.We present the concept of SmartClients: lightweight problem-solving agents based on constraint satisfaction which can carry out the computation- and communication-intensive tasks on the user's computer. We present an example of an air travel planning system based on this technology.     

Probing the stoichiometry and oxidation states of metal centers in iron-sulfur proteins using electrospray FTICR mass spectrometry

Electrospray ionization (ESI) Fourier transform ion cyclotron resonance mass spectrometry is used to determine the stoichiometry and oxidation states of the metal centers in several iron-sulfur proteins. Samples are introduced into the ESI source under nondenaturing conditions in order to observe intact metal-containing protein ions. The stoichiometry and oxidation state of the metal or metal-sulfur cluster in the protein ion can be derived from the mass spectrum. Mononuclear metal-containing proteins and [4Fe-4S] centers are very stable and yield the molecular ion with little or no fragmentation. Proteins that contain [2Fe-2S] clusters are less stable and yield loss of one or two sulfur atoms from the molecular species, although the molecular ion is more abundant than the fragment peaks. [3Fe-4S]-containing proteins are the least stable of the species investigated, yielding abundant peaks corresponding to the loss of one to four sulfur atoms in addition to a peak representing the molecular ion. Isotope labeling experiments show that the sulfur loss originates from the [3Fe-4S] center. Negative ion mode mass spectra were obtained and found to produce much more stable [3Fe-4S]-containing ions than obtained in positive ion mode. ESI analysis of the same proteins under denaturing conditions yields mass spectra of the apo form of the proteins. Disulfide bonds are observed in the apoprotein mass spectra that are not present in the holoprotein. These result from oxidative coupling of the cysteinyl sulfur atoms that are responsible for binding the metal center. In addition, inorganic sulfide is found to incorporate itself into the apoprotein by forming sulfur bridges between cysteine residues.     

Sex-and age-related differences in ceramide dihexosides of primary human brain tumors

Neutral glycolipids (NGL) are promising diagnostic markers of human gliomas, but differences in NGL with age and sex have not been examined. Previous work demonstrated that ceramide dihexosides (CDH) levels in mouse kidney are age- and sex-dependent, probably due to levels of sex hormones. We quantitated CDH in 181 human gliomas and found significant differences with sex and age, particularly menopause and male puberty. This emphasizes the importance of assessing results of studies on glycolipids in disease states with respect to age and sex in order to avoid erroneous conclusions concerning the relationship of glycolipid composition with diagnosis and pathogenesis.     

Deviant of diverse peer groups? The peer affiliations of aggressive elementary students.

This study examined peer affiliations of aggressive children in a sample of 948 students (496 girls, 452 boys) from 59 elementary classrooms (4th-6th grades). Groups were identified as zero aggressive, nonaggressive, aggressive, and mixed. The deviant peer group hypothesis was partially supported. Two thirds of aggressive boys and one half of aggressive girls were members of nonaggressive or mixed peer groups. Unpopular aggressive boys were most likely to be members of nonaggressive groups, whereas popular aggressive boys were most likely to be in aggressive and mixed groups. Aggressive and nonaggressive associates tended to he similar on key social characteristics (i.e., popularity, athleticism, leadership). (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Assessment of dietary exposure to ochratoxin A in the UK using a duplicate diet approach and analysis of urine and plasma samples

The approach to assess exposure to ochratoxin A from the diet by the analysis of human plasma and urine samples has been developed. Composite duplicate diet samples from 50 individuals and corresponding plasma and urine samples were obtained over 30 days. Samples were analysed using sensitive methods capable of measuring ochratoxin A at 0.001ng g -1 in food, 0.1ng ml -1 in plasma and 0.01ng ml -1 in urine. Analysis of the foods indicated ochratoxin A levels contributing to an average intake in the range 0.26-3.54ng kg -1 bw day -1 over the 30 days. Ochratoxin A was found in all plasma samples and in 46 urine samples. The correlation between the plasma ochratoxin A levels and ochratoxin A consumption was not significant (95% confidence limit). However, a significant correlation was found between ochratoxin A consumption and the urine ochratoxin A concentration expressed as the total amount excreted. This new work offers the possibility of using ochratoxin A in urine as a simple and reliable biomarker to estimate exposure to this mycotoxin.