Data mining in medical time series.

This article proposes a modular, computer-based methodology to describe and compare medical problems using data mining methods. The methodology focuses on a mathematical formulation of typical classification problems, systematic extraction of interpretable features from time series, and an evaluation adapted to problem-specific preferences and limitations (computational power, interpretability, etc.). The approach is applied to instrumented gait analysis and to the individual design of myoelectric controllers for hand prostheses.     

Contesting expertise: anthropologists at the Special Court for Sierra Leone

This article examines how social anthropologists' expertise was employed in the international war crimes trials heard at the Special Court for Sierra Leone. It tracks how the anthropologists challenged the prosecution experts by raising concerns about their methodology and advancing a fundamental critique of abstract legal categories. The discussion between the experts centred on two contested issues: the character of the armed groups and the phenomenon of forced marriages during the civil war in Sierra Leone. The analysis of the experts' testimonies shows that the anthropologists were engaged in an epistemological contest with the prosecution experts. The article aims at understanding why the anthropologists' arguments had less resonance with the judges than the reports submitted by the prosecution experts. Beyond the courtroom, it also speaks to the general debate about expertise and ways to study it.     

The Calculus of Committee Composition

Modern institutions face the recurring dilemma of designing accurate evaluation procedures in settings as diverse as academic selection committees, social policies, elections, and figure skating competitions. In particular, it is essential to determine both the number of evaluators and the method for combining their judgments. Previous work has focused on the latter issue, uncovering paradoxes that underscore the inherent difficulties. Yet the number of judges is an important consideration that is intimately connected with the methodology and the success of the evaluation. We address the question of the number of judges through a cost analysis that incorporates the accuracy of the evaluation method, the cost per judge, and the cost of an error in decision. We associate the optimal number of judges with the lowest cost and determine the optimal number of judges in several different scenarios. Through analytical and numerical studies, we show how the optimal number depends on the evaluation rule, the accuracy of the judges, the (cost per judge)/(cost per error) ratio. Paradoxically, we find that for a panel of judges of equal accuracy, the optimal panel size may be greater for judges with higher accuracy than for judges with lower accuracy. The development of any evaluation procedure requires knowledge about the accuracy of evaluation methods, the costs of judges, and the costs of errors. By determining the optimal number of judges, we highlight important connections between these quantities and uncover a paradox that we show to be a general feature of evaluation procedures. Ultimately, our work provides policy-makers with a simple and novel method to optimize evaluation procedures.     

EVALUATION OF WINE COMPETITION JUDGE PERFORMANCE USING PRINCIPAL COMPONENT SIMILARITY ANALYSIS

Principal component similarity (PCS) analysis was used to evaluate judge performance from a wine competition. Data were analyzed for five international judges and seven wine makers, for 42 white, 30 red and 25 specialty wines, using a 20-point quality scoring system. Principal similarity plots were used to group judges according to judging 'style' and to identify outliers, for each wine category. Judge groupings were consistent when three different references were used; however, the most interpretable PCS plot was obtained when the overall mean-judge-score was used as the reference. Results from PCS were compared to principal component analysis (PCA). PCS analysis allowed the information from all significant principal components to be graphically represented in two dimensions and was more successful in classifying judges than plots based on the first three principal components. The technique of PCS is an important complement to existing methodologies, and can provide wine competition coordinators with an objective technique for judge evaluation and selection.     

Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span

Background  

The statistical modeling of biomedical corpora could yield integrated, coarse-to-fine views of biological phenomena that complement discoveries made from analysis of molecular sequence and profiling data. Here, the potential of such modeling is demonstrated by examining the 5,225 free-text items in the Caenorhabditis Genetic Center (CGC) Bibliography using techniques from statistical information retrieval. Items in the CGC biomedical text corpus were modeled using the Latent Dirichlet Allocation (LDA) model. LDA is a hierarchical Bayesian model which represents a document as a random mixture over latent topics; each topic is characterized by a distribution over words.     

‘Illuminating the broader context’: anthropological and historical knowledge at the International Criminal Tribunal for Rwanda

Historians and anthropologists have been among the experts called to enlighten non‐Rwandan judges at the International Criminal Tribunal for Rwanda. Given that the Tribunal's regulations provide little guidance on who qualifies as an expert and that judges are not bound by national rules of evidence, judges exercise considerable discretion on who may provide expert testimony. By considering judges' scepticism towards repetitive expert testimony and that experts have changed their opinion because of information revealed in the course of the trials, this article seeks to convey the distinct characteristics of this innovative context and re‐evaluate the assumption that anthropologists and historians are inevitably engaged in an epistemological contest with law when they act as experts in criminal trials.     

With a Machete Through the Jungle: Some Thoughts on Community Diversity

This short communication includes comments on a single sentence cited from a recent paper by C. Ricotta. I discuss shortly the relationship between diversity and classification as well as the possibility of expressing diversity for continuous variables.Asimple example shows that the notion of diversity can be expanded to situations without an underlying classification. I suggest an evenness formula based on absolute deviations from the perfectly even distribution. If expressed for species data and multiplied by number of species in the community, this becomes an easily interpretable diversity measure. It is stressed that conventional diversity formulae cannot be informative on community structure, but there is a solution.     

A COMPARISON OF METHODS FOR EVALUATING THE PERFORMANCE OF A TRAINED SENSORY PANEL1

Cluster analysis, consonance analysis, principal component analysis (PCA) and the GRAPES program (Schlich 1994) were compared for the evaluation of panel performance. Ten judges evaluated 25 Merlot wines for 24 color, aroma and flavor attributes. Cluster analysis grouped similar judges. PCA identified judges according to their attribute use. Consonance analysis determined a numerical index for attribute agreement and the GRAPES program compared judges in their use of the scale, reliability, discrimination and disagreement. Three of the four techniques provided a graphical representation of similarities and differences between judges. Methodologies were best used in conjunction with one another. Ultimately the application of these tools will serve to improve the quality of sensory evaluations.     

Mediator lipidomics by liquid chromatography-tandem mass spectrometry

Comprehensive quantitative analysis of lipid mediators using liquid chromatography-tandem mass spectrometry is an effective strategy in the elucidation of disease mechanisms; but technically, it has been and is still a great challenge to achieve reliable datasets that cover variety of lipid metabolites contained at trace levels in complex biological matrices. In this opinion article, we introduce our experiences in developing lipid mediator profiling systems, and deliver some comments on limitations of current methodology.     

MODELING THE EVOLUTION OF THE PERFORMANCE OF A SENSORY PANEL: A MIXED-MODEL AND CONTROL CHART APPROACH

A sensory panel is often used to profile the same type of product with the same set of attributes for many years. We are interested in characterizing the evolution of the performance of such a panel (and its panelists) over time. This article presents a methodology based on a mixed‐model approach that takes into account the evolution of both panel and panelist in the same model. At the panel level, linear and quadratic evolutions of the performance are tested. At the panelist level, the method allows detection of whether some panelists perform better than others, and whether this difference remains the same or evolves over time. This mixed‐model approach is followed by a graphical representation using a control chart method to identify occasional outliers. Data used to illustrate this methodology are eight sensory profiling data sets collected on ready‐made frozen meals between 1997 and 2001 (every 6 months). The performance index chosen as an example in this study is the individual repeatability measured by standard deviation over replicates.     

禄丰古猿地点的兔形目化石

Alilepus longisinuosus sp.nov.系禄丰古猿动物群兔形目的唯一代表。基于自1976年以来采集到的69件标本,本文对新种的特征,特别是在种内的变异作了描述;并将其与华北及欧洲其它地点的翼兔作了比较。研究结果表明,可能由Gobiolagus或Ordolagus进化而来的Alilepus,在中新世晚期有较大的分化;禄丰的翼兔似乎代表该属向南亚现生的Nesolagus进化的一种。     

Effects of dietary glucose supplementation on the fasted plasma metabolome in cats and dogs

The study objective was to evaluate nutritional metabolomics in support of companion animal nutrition. The specific purpose was to identify metabolites that differed significantly (q-value < 0.05) in the 23 h fasted plasma metabolome of healthy adult female neutered cats (n = 14) and dogs (n = 14) following 2 weeks adaptation to a single batch of diet, nutritionally complete for both species, with and without dietary glucose supplementation (3.85 % w/w). The study consisted of a two-way, crossover design with samples from individual animals on days 14, 16 and 18 of each diet. Metabolic profiling consistently identified 219 metabolites from cats and 216 metabolites from dogs. Fasted plasma glucose did not change significantly with diet in either species whilst 41 % of cat and 20 % of dog metabolites did change significantly. In general, the two species responded similarly and provided data interpretable within the context of insulin-regulated responses to glucose, for example decreased fatty acid oxidation, increased uptake of branched chain amino acids into muscle, and in cats, decreased glucogenic amino acid catabolism. Other responses, such as increased 1 carbon pool intermediates in cats, were consistent with known nutritional differences between cats and dogs and interpretable within the context of energy metabolism. Data also indicated inter-individual variability and diet-dependent changes in digestion and absorption, providing insights for future study designs. In this proof-of-principle study it was concluded that metabolomics can provide data interpretable to a well-characterised area of nutrition and metabolism and also provide novel insights into metabolic adaptations with relevance to companion animal nutrition.     

A Critical Review of the Traditional Methodology of Cost-Benefit Analysis and a Proposed Alternative

“Risk management” is essential to the decision-making process that prescribes regulations for protecting human health. As a comprehensive decision-making approach, risk management encompasses risk assessment, risk perception, economic factors, and their respective uncertainties. Cost-benefit analysis (CBA) has long been the preferred methodology for evaluating the economic factors associated with such regulations. Within this context, CBA confirms whether or not the “benefit” of a given regulatory option is greater than its “cost.” This article proposes an alternative CBA methodology whose guiding concept is the “optimization” of outcomes for the stakeholders in regulations that aim to protect human health. This article further proposes evaluation criteria for CBA and critiques the traditional and alternative variants against this standard, ultimately to demonstrate the superiority of the latter.     

Towards an agroecological assessment of dairy systems: proposal for a set of criteria suited to mountain farming

Ruminant production systems have been facing the sustainability challenge, namely, how to maintain or even increase production while reducing their environmental footprint, and improving social acceptability. One currently discussed option is to encourage farmers to follow agroecological principles, that is, to take advantage of ecological processes to reduce inputs and farm wastes, while preserving natural resources, and using this diversity to increase system resilience. However, these principles need to be made more practical. Here, we present the procedure undertaken for the collaborative construction of an agroecological diagnostic grid for dairy systems with a focus on the mountain farming relying on the use of semi-natural grasslands. This diagnosis will necessarily rely on a multicriteria evaluation as agroecology is based on a series of complementary principles. It requires defining a set of criteria, based on practices to be recommended, that should be complied with to ensure agroecological production. We present how such agroecological criteria were identified and organized to form the architecture of an evaluation model. As a basis for this work, we used five agroecological principles already proposed for animal production systems. A group of five experts of mountain production systems and of their multicriteria evaluation was selected, with a second round of consultation with five additional experts. They first split up each principle into three to four generic sub-principles. For each principle, they listed three to eight categories of state variables on which the fulfilment of the principle should have a positive impact (e.g. main health disorders for the integrated health management principle). State variables are specific for a given production, for example, dairy farms. Crossing principles with state variables enabled experts to build five matrices, with 75 cells relevant for dairy systems. In each cell, criteria are specific to the local context, for example, mountain dairy systems in this study. Finally, we discuss the opportunities offered by our methodology, and the steps remaining for the construction of the evaluation model.     

MEASUREMENT OF PHOTOGRAPHIC QUALITY AND INDIVIDUAL DISTINCTIVENESS FOR THE PHOTOGRAPHIC IDENTIFICATION OF HUMPBACK WHALES, MEGAPTERA NOVAEANGLIAE

Accurate identification of humpback whales from photographic identification data depends on the quality of the photographs and the distinctiveness of the flukes. Criteria for evaluating photographic quality and individual distinctiveness were developed involving judgments about overall quality or distinctiveness and about specific aspects of each. These criteria were tested for the level of agreement among judges. The distinctiveness scheme was tested for the independence of distinctiveness judgments and photographic quality. Our results show that judges could agree when evaluating specific and overall aspects of photographic quality and individual distinctiveness. The level of agreement varied for different pairs of judges, and less adept judges were identified. Ability to agree on evaluations of photographic quality was independent of the experience of the judges. Overall photographic quality and overall distinctiveness were successfully predicted from more specific variables, but the agreement between judges for these was not significantly greater than the agreement for the overall measures judged directly. There was no correlation between individual distinctiveness and photographic quality for four of the five judges, but the power of this rest may be low. Analyses of photographic identification data frequently require evaluations of photographic quality and individual distinctiveness. To obtain reliable results from such analyses, evaluation schemes and judges should be tested to ensure reliable and consistent evaluations.