Evaluation of algorithms used to order markers on genetic maps

When building genetic maps, it is necessary to choose from several marker ordering algorithms and criteria, and the choice is not always simple. In this study, we evaluate the efficiency of algorithms try (TRY), seriation (SER), rapid chain delineation (RCD), recombination counting and ordering (RECORD) and unidirectional growth (UG), as well as the criteria PARF (product of adjacent recombination fractions), SARF (sum of adjacent recombination fractions), SALOD (sum of adjacent LOD scores) and LHMC (likelihood through hidden Markov chains), used with the RIPPLE algorithm for error verification, in the construction of genetic linkage maps. A linkage map of a hypothetical diploid and monoecious plant species was simulated containing one linkage group and 21 markers with fixed distance of 3 cM between them. In all, 700 F(2) populations were randomly simulated with and 400 individuals with different combinations of dominant and co-dominant markers, as well as 10 and 20% of missing data. The simulations showed that, in the presence of co-dominant markers only, any combination of algorithm and criteria may be used, even for a reduced population size. In the case of a smaller proportion of dominant markers, any of the algorithms and criteria (except SALOD) investigated may be used. In the presence of high proportions of dominant markers and smaller samples (around 100), the probability of repulsion linkage increases between them and, in this case, use of the algorithms TRY and SER associated to RIPPLE with criterion LHMC would provide better results. Heredity (2009) 103, 494-502; doi:10.1038/hdy.2009.96; published online 29 July 2009

Zygosity Diagnosis in the Absence of Genotypic Data: An Approach Using Latent Class Analysis

For zygosity diagnosis in the absence of genotypic data, or in the recruitment phase of a twin study where only single twins from same-sex pairs are being screened, or to provide a test for sample duplication leading to the false identification of a dizygotic pair as monozygotic, the appropriate analysis of respondents' answers to questions about zygosity is critical. Using data from a young adult Australian twin cohort (N = 2094 complete pairs and 519 singleton twins from same-sex pairs with complete responses to all zygosity items), we show that application of latent class analysis (LCA), fitting a 2-class model, yields results that show good concordance with traditional methods of zygosity diagnosis, but with certain important advantages. These include the ability, in many cases, to assign zygosity with specified probability on the basis of responses of a single informant (advantageous when one zygosity type is being oversampled); and the ability to quantify the probability of misassignment of zygosity, allowing prioritization of cases for genotyping as well as identification of cases of probable laboratory error. Out of 242 twins (from 121 like-sex pairs) where genotypic data were available for zygosity confirmation, only a single case was identified of incorrect zygosity assignment by the latent class algorithm. Zygosity assignment for that single case was identified by the LCA as uncertain (probability of being a monozygotic twin only 76%), and the co-twin's responses clearly identified the pair as dizygotic (probability of being dizygotic 100%). In the absence of genotypic data, or as a safeguard against sample duplication, application of LCA for zygosity assignment or confirmation is strongly recommended.

The Interpretation of Verbal Probability Expressions Used in the IAS/IFRS: the auditors Rrgistered with the portuguese securities market commission

One of the main arguments in favour of the adoption and convergence with the international accounting standards published by the IASB (i.e. IAS/IFRS) is that these will allow comparability of financial reporting across countries. However, because these standards use verbal probability expressions (v.g. “probable”) when establishing the recognition and disclosure criteria for accounting elements, they require professional accountants to interpret and classify the probability of an outcome or event taking into account those terms and expressions and to best decide in terms of financial reporting. This paper reports part of a research we carried out on the interpretation of “in context” verbal probability expressions used in the IAS/IFRS by the auditors registered with the Portuguese Securities Market Commission, the Comissão do Mercado de Valores Mobiliários (CMVM). Our results provide support for the hypothesis that culture affects the CMVM registered auditors’ interpretation of verbal probability expressions through its influence on the accounting value (or attitude) of conservatism. Our results also suggest that there are significant differences in their interpretation of the term “probable”, which is consistent with literature in general. Since “probable” is the most frequent verbal probability expression used in the IAS/IFRS, this may have a negative impact on financial statements comparability.

Increase of the delivered energy probability in DES using a fuzzy probabilistic modeling

The paper proposes a methodology to increase the probability of delivering power to any load point by identifying new investments in distribution energy systems. The proposed methodology is based on statistical failure and repair data of distribution components and it uses a fuzzy-probabilistic modeling for the components outage parameters. The fuzzy membership functions of the outage parameters of each component are based on statistical records. A mixed integer nonlinear programming optimization model is developed in order to identify the adequate investments in distribution energy system components which allow increasing the probability of delivering power to any customer in the distribution system at the minimum possible cost for the system operator. To illustrate the application of the proposed methodology, the paper includes a case study that considers a 180 bus distribution network.

The influence of experience and training in a group of novice observers: a jackknife alternative free-response receiver operating characteristic analysis

Purpose - The study evaluates the pre- and post-training lesion localisation ability of a group of novice observers. Parallels are drawn with the performance of inexperienced radiographers taking part in preliminary clinical evaluation (PCE) and ‘red-dot’ systems, operating within radiography practice. Materials and methods - Thirty-four novice observers searched 92 images for simulated lesions. Pre-training and post-training evaluations were completed following the free-response the receiver operating characteristic (FROC) method. Training consisted of observer performance methodology, the characteristics of the simulated lesions and information on lesion frequency. Jackknife alternative FROC (JAFROC) and highest rating inferred ROC analyses were performed to evaluate performance difference on lesion-based and case-based decisions. The significance level of the test was set at 0.05 to control the probability of Type I error. Results - JAFROC analysis (F(3,33) = 26.34, p < 0.0001) and highest-rating inferred ROC analysis (F(3,33) = 10.65, p = 0.0026) revealed a statistically significant difference in lesion detection performance. The JAFROC figure-of-merit was 0.563 (95% CI 0.512,0.614) pre-training and 0.677 (95% CI 0.639,0.715) post-training. Highest rating inferred ROC figure-of-merit was 0.728 (95% CI 0.701,0.755) pre-training and 0.772 (95% CI 0.750,0.793) post-training. Conclusions - This study has demonstrated that novice observer performance can improve significantly. This study design may have relevance in the assessment of inexperienced radiographers taking part in PCE or commenting scheme for trauma.

Increase of the Delivered Power Probability in Distribution Networks using Pareto DC Programming

A methodology to increase the probability of delivering power to any load point through the identification of new investments in distribution network components is proposed in this paper. The method minimizes the investment cost as well as the cost of energy not supplied in the network. A DC optimization model based on mixed integer non-linear programming is developed considering the Pareto front technique in order to identify the adequate investments in distribution networks components which allow increasing the probability of delivering power for any customer in the distribution system at the minimum possible cost for the system operator, while minimizing the energy not supplied cost. Thus, a multi-objective problem is formulated. To illustrate the application of the proposed methodology, the paper includes a case study which considers a 180 bus distribution network

A comparative analysis of Cobb-Douglas model with additive and multiplicative error

This paper dis cusses the fitting of a Cobb-Doug las response curve Yi = αXβi, with additive error, Yi = αXβi + e i, instead of the usual multiplicative error Yi = αXβi (1 + e i). The estimation of the parameters A and B is discussed. An example is given with use of both types of error.

Application of detection probabilities to the design of amphibian monitoring programs in temporary ponds

Failure to detect a species in an area where it is present is a major source of error in biological surveys. We assessed whether it is possible to optimize single-visit biological monitoring surveys of highly dynamic freshwater ecosystems by framing them a priori within a particular period of time. Alternatively, we also searched for the optimal number of visits and when they should be conducted. We developed single-species occupancy models to estimate the monthly probability of detection of pond-breeding amphibians during a four-year monitoring program. Our results revealed that detection probability was species-specific and changed among sampling visits within a breeding season and also among breeding seasons. Thereby, the optimization of biological surveys with minimal survey effort (a single visit) is not feasible as it proves impossible to select a priori an adequate sampling period that remains robust across years. Alternatively, a two-survey combination at the beginning of the sampling season yielded optimal results and constituted an acceptable compromise between sampling efficacy and survey effort. Our study provides evidence of the variability and uncertainty that likely affects the efficacy of monitoring surveys, highlighting the need of repeated sampling in both ecological studies and conservation management.

Activity in inferior parietal and medial prefrontal cortex signals the accumulation of evidence in a probability learning task.

In an uncertain environment, probabilities are key to predicting future events and making adaptive choices. However, little is known about how humans learn such probabilities and where and how they are encoded in the brain, especially when they concern more than two outcomes. During functional magnetic resonance imaging (fMRI), young adults learned the probabilities of uncertain stimuli through repetitive sampling. Stimuli represented payoffs and participants had to predict their occurrence to maximize their earnings. Choices indicated loss and risk aversion but unbiased estimation of probabilities. BOLD response in medial prefrontal cortex and angular gyri increased linearly with the probability of the currently observed stimulus, untainted by its value. Connectivity analyses during rest and task revealed that these regions belonged to the default mode network. The activation of past outcomes in memory is evoked as a possible mechanism to explain the engagement of the default mode network in probability learning. A BOLD response relating to value was detected only at decision time, mainly in striatum. It is concluded that activity in inferior parietal and medial prefrontal cortex reflects the amount of evidence accumulated in favor of competing and uncertain outcomes.

Limits on the validity of infinite length assumptions for modelling shallow landslides

The infinite slope method is widely used as the geotechnical component of geomorphic and landscape evolution models. Its assumption that shallow landslides are infinitely long (in a downslope direction) is usually considered valid for natural landslides on the basis that they are generally long relative to their depth. However, this is rarely justified, because the critical length/depth (L/H) ratio below which edge effects become important is unknown. We establish this critical L/H ratio by benchmarking infinite slope stability predictions against finite element predictions for a set of synthetic two-dimensional slopes, assuming that the difference between the predictions is due to error in the infinite slope method. We test the infinite slope method for six different L/H ratios to find the critical ratio at which its predictions fall within 5% of those from the finite element method. We repeat these tests for 5000 synthetic slopes with a range of failure plane depths, pore water pressures, friction angles, soil cohesions, soil unit weights and slope angles characteristic of natural slopes. We find that: (1) infinite slope stability predictions are consistently too conservative for small L/H ratios; (2) the predictions always converge to within 5% of the finite element benchmarks by a L/H ratio of 25 (i.e. the infinite slope assumption is reasonable for landslides 25 times longer than they are deep); but (3) they can converge at much lower ratios depending on slope properties, particularly for low cohesion soils. The implication for catchment scale stability models is that the infinite length assumption is reasonable if their grid resolution is coarse (e.g. >25?m). However, it may also be valid even at much finer grid resolutions (e.g. 1?m), because spatial organization in the predicted pore water pressure field reduces the probability of short landslides and minimizes the risk that predicted landslides will have L/H ratios less than 25. Copyright (c) 2012 John Wiley & Sons, Ltd.

P value and the theory of hypothesis testing: an explanation for new researchers.

In the 1920s, Ronald Fisher developed the theory behind the p value and Jerzy Neyman and Egon Pearson developed the theory of hypothesis testing. These distinct theories have provided researchers important quantitative tools to confirm or refute their hypotheses. The p value is the probability to obtain an effect equal to or more extreme than the one observed presuming the null hypothesis of no effect is true; it gives researchers a measure of the strength of evidence against the null hypothesis. As commonly used, investigators will select a threshold p value below which they will reject the null hypothesis. The theory of hypothesis testing allows researchers to reject a null hypothesis in favor of an alternative hypothesis of some effect. As commonly used, investigators choose Type I error (rejecting the null hypothesis when it is true) and Type II error (accepting the null hypothesis when it is false) levels and determine some critical region. If the test statistic falls into that critical region, the null hypothesis is rejected in favor of the alternative hypothesis. Despite similarities between the two, the p value and the theory of hypothesis testing are different theories that often are misunderstood and confused, leading researchers to improper conclusions. Perhaps the most common misconception is to consider the p value as the probability that the null hypothesis is true rather than the probability of obtaining the difference observed, or one that is more extreme, considering the null is true. Another concern is the risk that an important proportion of statistically significant results are falsely significant. Researchers should have a minimum understanding of these two theories so that they are better able to plan, conduct, interpret, and report scientific experiments.

Facilitatory and interfering effects of neighbourhood density on speech production: Evidence from aphasic errors.

In a system where tens of thousands of words are made up of a limited number of phonemes, many words are bound to sound alike. This similarity of the words in the lexicon as characterized by phonological neighbourhood density (PhND) has been shown to affect speed and accuracy of word comprehension and production. Whereas there is a consensus about the interfering nature of neighbourhood effects in comprehension, the language production literature offers a more contradictory picture with mainly facilitatory but also interfering effects reported on word production. Here we report both of these two types of effects in the same study. Multiple regression mixed models analyses were conducted on PhND effects on errors produced in a naming task by a group of 21 participants with aphasia. These participants produced more formal errors (interfering effect) for words in dense phonological neighbourhoods, but produced fewer nonwords and semantic errors (a facilitatory effect) with increasing density. In order to investigate the nature of these opposite effects of PhND, we further analysed a subset of formal errors and nonword errors by distinguishing errors differing on a single phoneme from the target (corresponding to the definition of phonological neighbours) from those differing on two or more phonemes. This analysis confirmed that only formal errors that were phonological neighbours of the target increased in dense neighbourhoods, while all other errors decreased. Based on additional observations favouring a lexical origin of these formal errors (they exceeded the probability of producing a real-word error by chance, were of a higher frequency, and preserved the grammatical category of the targets), we suggest that the interfering effect of PhND is due to competition between lexical neighbours and target words in dense neighbourhoods.

Auscultatory and electrocardiographic characteristics of Crioulo horses

In order to determine auscultatory and electrocardiographic characteristics of Crioulo horses, one hundred animals ranging between one and twenty-six years of age (21 stallions, nine geldings, 27 pregnant mares e 43 not pregnant mares) were evaluated. The cardiac auscultation was performed during the clinical examination of the cardiovascular system, evaluating frequency, rate, normal and abnormal heart sounds (heart murmurs). The electrocardiographic examination followed the bipolar base-apex derivative system with animals at rest, by using an ECG-PC TEB equipment. The cardiac frequency, heart rate, morphology, duration, wave and complex amplitudes and interval durations were determined. The results were submitted to ANOVA and Tukey tests with an error probability of 5%. The cardiac auscultation revealed presence of functional systolic and diastolic murmur (10.00%) and systolic murmur compatible with tricuspid regurgitation besides normal heart sounds S1 (100.0%), S2 (100.0%), S3 (19.0%) and S4 (34.0%). The cardiac frequency obtained the average of 43.64 bpm, observing significative differences in relation to sexual and age factors and training level. The sinus rhythm was the most frequent (57.00%), followed by sinus tachycardia (38.00%) and sinus arrhythmia (5.00%), being observed rhythm disturbances in 16% of tracings. The P and T waves were observed more frequently in their forms P bifida positive (95.00%) and biphasic T (91.00%), being variable at tracing. There were also observed Q waves in 12.00% of the tracings. Thus, it was concluded that the auscultatory characteristics of Crioulo horses are according to the described in the literature for the species and the sexual factor, category, age factor and training level can influence some electrocardiographic parameters.

Statistical analysis of survey-based event history data with application to modeling of unemployment duration

Longitudinal surveys are increasingly used to collect event history data on person-specific processes such as transitions between labour market states. Surveybased event history data pose a number of challenges for statistical analysis. These challenges include survey errors due to sampling, non-response, attrition and measurement. This study deals with non-response, attrition and measurement errors in event history data and the bias caused by them in event history analysis. The study also discusses some choices faced by a researcher using longitudinal survey data for event history analysis and demonstrates their effects. These choices include, whether a design-based or a model-based approach is taken, which subset of data to use and, if a design-based approach is taken, which weights to use. The study takes advantage of the possibility to use combined longitudinal survey register data. The Finnish subset of European Community Household Panel (FI ECHP) survey for waves 1–5 were linked at person-level with longitudinal register data. Unemployment spells were used as study variables of interest. Lastly, a simulation study was conducted in order to assess the statistical properties of the Inverse Probability of Censoring Weighting (IPCW) method in a survey data context. The study shows how combined longitudinal survey register data can be used to analyse and compare the non-response and attrition processes, test the missingness mechanism type and estimate the size of bias due to non-response and attrition. In our empirical analysis, initial non-response turned out to be a more important source of bias than attrition. Reported unemployment spells were subject to seam effects, omissions, and, to a lesser extent, overreporting. The use of proxy interviews tended to cause spell omissions. An often-ignored phenomenon classification error in reported spell outcomes, was also found in the data. Neither the Missing At Random (MAR) assumption about non-response and attrition mechanisms, nor the classical assumptions about measurement errors, turned out to be valid. Both measurement errors in spell durations and spell outcomes were found to cause bias in estimates from event history models. Low measurement accuracy affected the estimates of baseline hazard most. The design-based estimates based on data from respondents to all waves of interest and weighted by the last wave weights displayed the largest bias. Using all the available data, including the spells by attriters until the time of attrition, helped to reduce attrition bias. Lastly, the simulation study showed that the IPCW correction to design weights reduces bias due to dependent censoring in design-based Kaplan-Meier and Cox proportional hazard model estimators. The study discusses implications of the results for survey organisations collecting event history data, researchers using surveys for event history analysis, and researchers who develop methods to correct for non-sampling biases in event history data.

Semisynthetic aminoglycoside antibiotics : toward biomimetic synthesis, evasion of bacterial resistance and reduced toxicity

Les antibiotiques aminoglycosidiques sont des agents bactéricides de grande valeur et d’efficacité à large spectre contre les pathogènes Gram-positifs et Gram-négatifs, dont plusieurs membres naturels et semisynthétiques sont importants dans l’histoire clinique depuis 1950. Des travaux crystallographiques sur le ribosome, récompensés par le prix Nobel, ont démontré comment leurs diverses structures polyaminées sont adaptées pour cibler une hélice d’ARN dans le centre de codage de la sous-unité 30S du ribosome bactérien. Leur interférence avec l’affinité et la cinétique des étapes de sélection et vérification des tARN induit la synthèse de protéines à basse fidélité, et l’inhibition de la translocation, établissant un cercle vicieux d’accumulation d’antibiotique et de stress sur la membrane. En réponse à ces pressions, les pathogènes bactériens ont évolué et disséminé une panoplie de mécanismes de résistance enzymatiques et d’expulsion : tels que les N acétyltransférases, les O phosphotransférases et les O nucleotidyltransférases qui ciblent les groupements hydroxyle et amino sur le coeur des aminoglycosides; des méthyl-transférases, qui ciblent le site de liaison ribosomale; et des pompes d’expulsion actives pour l’élimination sélective des aminoglycosides, qui sont utilisés par les souches Gram-négatives. Les pathogènes les plus problématiques, qui présentent aujourd’hui une forte résilience envers la majorité des classes d’antibiotiques sur le bord de la pan-résistance ont été nommés des bactéries ESKAPE, une mnémonique pour Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa et Enterobacteriaceae. La distribution globale des souches avec des mécanismes de résistance envers les standards cliniques aminoglycosides, tels que la tobramycine, l’amikacine et la gentamicine, est comprise entre 20 et 60% des isolées cliniques. Ainsi, les aminoglycosides du type 4,6-disubstitués-2-deoxystreptamine sont inadéquats comme thérapies anti-infectieuses à large spectre. Cependant, la famille des aminoglycosides 4,5-disubstitués, incluant la butirosine, la neomycine et la paromomycine, dont la structure plus complexe, pourrait constituter une alternative. Des collègues dans le groupe Hanessian et collaborateurs d’Achaogen Inc. ont démontré que certains analogues de la paraomomycine et neomycine, modifiés par désoxygénation sur les positions 3’ et 4’, et par substitution avec la chaîne N1-α-hydroxy-γ-aminobutyramide (HABA) provenant de la butirosine, pourrait produire des antibiotiques très prometteurs. Le Chapitre 4 de cette dissertation présente la conception et le développement d’une stratégie semi-synthétique pour produire des nouveaux aminoglycosides améliorés du type 4,5 disubstitués, inspiré par des modifications biosynthétiques de la sisomicine, qui frustrent les mécanismes de résistance bactérienne distribuées globalement. Cette voie de synthèse dépend d’une réaction d’hydrogénolyse de type Tsuji catalysée par palladium, d’abord développée sur des modèles monosaccharides puis subséquemment appliquée pour générer un ensemble d’aminoglycosides hybrides entre la neomycine et la sisomicine. Les études structure-activité des divers analogues de cette nouvelle classe ont été évaluées sur une gamme de 26 souches bactériennes exprimant des mécanismes de résistance enzymatique et d’expulsion qui englobe l’ensemble des pathogènes ESKAPE. Deux des antibiotiques hybrides ont une couverture antibacterienne excellente, et cette étude a mis en évidence des candidats prometteurs pour le développement préclinique. La thérapie avec les antibiotiques aminoglycosidiques est toujours associée à une probabilité de complications néphrotoxiques. Le potentiel de toxicité de chaque aminoglycoside peut être largement corrélé avec le nombre de groupements amino et de désoxygénations. Une hypothèse de longue date dans le domaine indique que les interactions principales sont effectuées par des sels des groupements ammonium, donc l’ajustement des paramètres de pKa pourrait provoquer une dissociation plus rapide avec leurs cibles, une clairance plus efficace et globalement des analogues moins néphrotoxiques. Le Chapitre 5 de cette dissertation présente la conception et la synthèse asymétrique de chaînes N1 HABA β substitutées par mono- et bis-fluoration. Des chaînes qui possèdent des γ-N pKa dans l’intervalle entre 10 et 7.5 ont été appliquées sur une neomycine tétra-désoxygénée pour produire des antibiotiques avancés. Malgré la réduction considérable du γ N pKa, le large spectre bactéricide n’a pas été significativement affecté pour les analogues fluorés isosteriques. De plus, des études structure-toxicité évaluées avec une analyse d’apoptose propriétaire d’Achaogen ont démontré que la nouvelle chaîne β,β difluoro-N1-HABA est moins nocive sur un modèle de cellules de rein humain HK2 et elle est prometteuse pour le développement d’antibiotiques du type neomycine avec des propriétés thérapeutiques améliorées. Le chapitre final de cette dissertation présente la proposition et validation d’une synthèse biomimétique par assemblage spontané du aminoglycoside 66-40C, un dimère C2 symétrique bis-imine macrocyclique à 16 membres. La structure proposée du macrocycle a été affinée par spectroscopie nucléaire à un système trans,trans-bis-azadiène anti-parallèle. Des calculs indiquent que l’effet anomérique de la liaison α glycosidique entre les anneaux A et B fournit la pré-organisation pour le monomère 6’ aldéhydo sisomicine et favorise le produit macrocyclique observé. L’assemblage spontané dans l’eau a été étudié par la dimérisation de trois divers analogues et par des expériences d’entre croisement qui ont démontré la généralité et la stabilité du motif macrocyclique de l'aminoglycoside 66-40C.