A Higher Level Classification of All Living Organisms

We present a consensus classification of life to embrace the more than 1.6 million species already provided by more than 3,000 taxonomists’ expert opinions in a unified and coherent, hierarchically ranked system known as the Catalogue of Life (CoL). The intent of this collaborative effort is to provide a hierarchical classification serving not only the needs of the CoL’s database providers but also the diverse public-domain user community, most of whom are familiar with the Linnaean conceptual system of ordering taxon relationships. This classification is neither phylogenetic nor evolutionary but instead represents a consensus view that accommodates taxonomic choices and practical compromises among diverse expert opinions, public usages, and conflicting evidence about the boundaries between taxa and the ranks of major taxa, including kingdoms. Certain key issues, some not fully resolved, are addressed in particular. Beyond its immediate use as a management tool for the CoL and ITIS (Integrated Taxonomic Information System), it is immediately valuable as a reference for taxonomic and biodiversity research, as a tool for societal communication, and as a classificatory “backbone” for biodiversity databases, museum collections, libraries, and textbooks. Such a modern comprehensive hierarchy has not previously existed at this level of specificity.     

Color Terminology and Color Classification: Ancient Egyptian Color Terminology and Polychromy

The ancient Egyptian language possesses 4 basic color terms; painting uses 7 and later 9 polychrome colors. These sets correspond to Stages Ilia, V, and VII (incomplete) of the Berlin and Kay encoding sequence for language, and support the theory of 11 "basic perceptual color categories." The categories are probably available only through progressive differentiation. The use of color in pictorial representation fits an "active" rather than a "response" model for this expansion. The separation of color use and color terminology has significant cognitive implications.     

A Psychophysical Imaging Method Evidencing Auditory Cue Extraction during Speech Perception: A Group Analysis of Auditory Classification Images

Although there is a large consensus regarding the involvement of specific acoustic cues in speech perception, the precise mechanisms underlying the transformation from continuous acoustical properties into discrete perceptual units remains undetermined. This gap in knowledge is partially due to the lack of a turnkey solution for isolating critical speech cues from natural stimuli. In this paper, we describe a psychoacoustic imaging method known as the Auditory Classification Image technique that allows experimenters to estimate the relative importance of time-frequency regions in categorizing natural speech utterances in noise. Importantly, this technique enables the testing of hypotheses on the listening strategies of participants at the group level. We exemplify this approach by identifying the acoustic cues involved in da/ga categorization with two phonetic contexts, Al- or Ar-. The application of Auditory Classification Images to our group of 16 participants revealed significant critical regions on the second and third formant onsets, as predicted by the literature, as well as an unexpected temporal cue on the first formant. Finally, through a cluster-based nonparametric test, we demonstrate that this method is sufficiently sensitive to detect fine modifications of the classification strategies between different utterances of the same phoneme.     

Unveiling Undercover Cropland Inside Forests Using Landscape Variables: A Supplement to Remote Sensing Image Classification

The worldwide demand for food has been increasing due to the rapidly growing global population, and agricultural lands have increased in extent to produce more food crops. The pattern of cropland varies among different regions depending on the traditional knowledge of farmers and availability of uncultivated land. Satellite images can be used to map cropland in open areas but have limitations for detecting undergrowth inside forests. Classification results are often biased and need to be supplemented with field observations. Undercover cropland inside forests in the Bale Mountains of Ethiopia was assessed using field observed percentage cover of land use/land cover classes, and topographic and location parameters. The most influential factors were identified using Boosted Regression Trees and used to map undercover cropland area. Elevation, slope, easterly aspect, distance to settlements, and distance to national park were found to be the most influential factors determining undercover cropland area. When there is very high demand for growing food crops, constrained under restricted rights for clearing forest, cultivation could take place within forests as an undercover. Further research on the impact of undercover cropland on ecosystem services and challenges in sustainable management is thus essential.     

Effects of Water Stress on Fruit Quality Attributes of Kiwifruit

Four-year-old kiwifruit vines (Actinidia deliciosa(A. Chev.)C. F. Liang et A. R. Ferguson var.deliciosacv. Hayward) werestudied to determine response of the plant and effects on fruitquality when irrigation water was withheld either early or latein the growing season. The greatest effect on fruit growth occurredwhen water was withheld early in the season. Harvest weightof fruit from early-stressed vines was approx. 25% less thanthe weight of fruit on control vines. Early season water stressresulted in a transient increase in concentrations of solublecarbohydrates in both leaves and fruit. This was accompaniedby a reduction in stomatal conductance of the leaves. Starchlevels in leaves but not fruit were reduced by both stress treatments.Concentrations of sucrose at harvest in fruit from vines stressedlate in the season were markedly higher than in other fruit,and softness of the fruit was unaffected. These differenceswere maintained through the 12 weeks in cool storage after harvest.Withholding irrigation water to kiwifruit vines late in theseason may prove a useful management tool to manipulate somequality attributes of the fruit.Copyright 1998 Annals of BotanyCompany Kiwifruit;Actinidia deliciosa; water stress; fruit quality; soluble solids.     

A System for Heart Sounds Classification

The future of quick and efficient disease diagnosis lays in the development of reliable non-invasive methods. As for the cardiac diseases – one of the major causes of death around the globe – a concept of an electronic stethoscope equipped with an automatic heart tone identification system appears to be the best solution. Thanks to the advancement in technology, the quality of phonocardiography signals is no longer an issue. However, appropriate algorithms for auto-diagnosis systems of heart diseases that could be capable of distinguishing most of known pathological states have not been yet developed. The main issue is non-stationary character of phonocardiography signals as well as a wide range of distinguishable pathological heart sounds. In this paper a new heart sound classification technique, which might find use in medical diagnostic systems, is presented. It is shown that by combining Linear Predictive Coding coefficients, used for future extraction, with a classifier built upon combining Support Vector Machine and Modified Cuckoo Search algorithm, an improvement in performance of the diagnostic system, in terms of accuracy, complexity and range of distinguishable heart sounds, can be made. The developed system achieved accuracy above 93% for all considered cases including simultaneous identification of twelve different heart sound classes. The respective system is compared with four different major classification methods, proving its reliability.     

基于XML的物种属性构建系统

用PowerBuilder9．0开发了一个基于XML的物种及其属性构建系统,利用该系统可以方便的构建一个物种属性,并可以对该物种属性进行解析翻译。利用该系统以物种毛白杨作为实例进行构建,结果表示：该系统操作简便、构建灵活、能解析、方便读取、实用有效,对物种及其属性能够很好的描述,方便物种属性的管理。     

Yumbulyumbulmantha Ki-Awarawu (All Kinds of Things from Country): Yanyuwa Ethnobiological Classification

Yumbulyumbulmantha Ki-Awarawu (All Kinds of Things from Country): Yanyuwa Ethnobiological Classification . John Bradley, Miles Holmes, Dinah Norman Marrngawi, Annie Isaac Karrakayn, Jemima Miller Wuwarlu, and Ida Ninganga. Brisbane: University of Queensland Press, 2006. 174 pp.     

Classification Models for Neurocognitive Impairment in HIV Infection Based on Demographic and Clinical Variables

Objective

We used demographic and clinical data to design practical classification models for prediction of neurocognitive impairment (NCI) in people with HIV infection.

Methods

The study population comprised 331 HIV-infected patients with available demographic, clinical, and neurocognitive data collected using a comprehensive battery of neuropsychological tests. Classification and regression trees (CART) were developed to obtain detailed and reliable models to predict NCI. Following a practical clinical approach, NCI was considered the main variable for study outcomes, and analyses were performed separately in treatment-naïve and treatment-experienced patients.

Results

The study sample comprised 52 treatment-naïve and 279 experienced patients. In the first group, the variables identified as better predictors of NCI were CD4 cell count and age (correct classification [CC]: 79.6%, 3 final nodes). In treatment-experienced patients, the variables most closely related to NCI were years of education, nadir CD4 cell count, central nervous system penetration-effectiveness score, age, employment status, and confounding comorbidities (CC: 82.1%, 7 final nodes). In patients with an undetectable viral load and no comorbidities, we obtained a fairly accurate model in which the main variables were nadir CD4 cell count, current CD4 cell count, time on current treatment, and past highest viral load (CC: 88%, 6 final nodes).

Conclusion

Practical classification models to predict NCI in HIV infection can be obtained using demographic and clinical variables. An approach based on CART analyses may facilitate screening for HIV-associated neurocognitive disorders and complement clinical information about risk and protective factors for NCI in HIV-infected patients.     

A biologically plausible model of early visual motion processing II: Psychophysical application

We test the model of early visual processing introduced in the companion paper by simulating a range of psychophysical phenomena. We present new data concerning our ability to discriminate the speed of drifting gratings when spatiotemporally apertured in a variety of ways. We shall investigate the role played by the aperture in modifying the grating's behaviour from its idealisation as a pure Fourier component and show that this is not negligible. Other phenomena which we simulate and explain relate to the way perceived velocity is influenced by contrast and spatial frequency. Many of our explanations are couched in terms of the relative number of cells occurring within each locale of the Fourier domain. This use of the cell density map is a unifying concept and avoids the necessity for a range of separate mechanisms. We argue that a neurophysiologically detailed model is necessary in order to explain psychophysical data (Weber fractions) which vary over less than an order of magnitude, and small deviations from veridical encoding of velocity.     

The Empirical Bayes Classification Rules for Mixtures of Discrete and Continuous Variables

Let us consider a general population π. Each object belonging to the population π is characterized by a pair of correlated random vectors (X, Y ). Both X and Y may be mixtures of discrete and continuous random variables. It will be assumed that our population π consists of k groups π₁,….,πk, which depend on the value of the random vector Y. A certain object, which is an element of one of the k groups π₁, …, πk, has to be classified into the correct group. The knowledge of the value of the random vector Y would permit its correct classification, but the observation of this vector is difficult or dangerous and we must assign the individual on the basis of the observation of the random vector X . The classification procedure is based on randomized decision function δ* which minimizes the risk function i.e. Bayes decision function. We give also two empirical Bayes classification rules i.e. decision functions based on the sample from population π and having property that their risks converge to Bayes risk when the sample size increases.     

Nearest Neighbor Classification Rule for Mixtures of Discrete and Continuous Random Variables

In this paper very simple nonparametric classification rule for mixtures of discrete and continuous random variables is described. It is based on the method of nearest neighbor proposed by Cover and Hart (1967). The bounds on the limit of the nearest neighbor rule risks are given. Both lower and upper bound depend on the Bayes risk and the loss function. Finally the method is compared with other existing methods on some practical data set.     

Assessment of the Effects of Nocturnal Exposure to 50-Hz Magnetic Fields on the Human Circadian System. A Comprehensive Study of Biochemical Variables

The proposed laboratory investigation was designed to evaluate the effects of acute exposure to both continuous and intermittent magnetic fields (MFs) (50 Hz-10 μT) on the circadian rhythm of clinical chemistry variables in humans: electrolytes (magnesium, calcium, phosphorus, sodium, potassium, and chloride), enzymes (amylase, lipase, aldolase, gamma glutamyl-transferase [GGT], lactate dehydrogenase [LDH], aspartate aminotransferase [ASAT], and alkaline phosphatase [ALP]), lipids (cholesterol, high-density lipoprotein [HDL], apolipoprotein A1 [ApoA1], and ApoB), proteins (total proteins and albumin), nitrogen substances (uric acid, urea, and creatinine), iron, glycemia, and transferrin. Young volunteers (32 subjects: 16 exposed and 16 sham exposed) were selected according to the screening criteria. Each subject participated in two sessions held within a 4-week period. In the first session, one group of volunteers (16 subjects) was exposed to a continuous MF and then, in the second session, to an intermittent MF. The second group (16 subjects) served as a control for both sessions. At each session, blood samples were collected at 3h intervals from 11:00 to 20:00 and hourly from 22:00 to 08:00. The results indicate that both continuous and intermittent 50-Hz linearly polarized MFs of 10 μT intensity have no effects on the circadian rhythms or on the levels of the variables studied here.     

Fish Farming Effects on Chemical and Microbial Variables of the Water Column: A Spatio-temporal Study Along the Mediterranean Sea

The effects of fish farming on chemical and biological variables of the water column were investigated in three coastal locations along the Mediterranean (Spain, Italy and Greece). Analyses of nutrients, chlorophyll a, particulate organic carbon and nitrogen (POC and PON), heterotrophic bacteria and cyanobacteria (Synechococcus) were carried out on integrated samples (0–30 m depth) taken at various distances from fish farms and the respective reference sites. At one of these sites, water samples were collected by means of Niskin bottles at 09:00, 13:00 and 16:00 h and at three different depths (0 m, 10 m and bottom). Integrated sampling showed no significant changes with distance in any of the variables measured, whereas all variables except PON showed significant changes between the three locations studied. However, changes were found in samples taken by Niskin bottles, with increased concentrations of NH₄⁺, POC, PON and decreased cyanobacteria densities at the surface layer in the immediate vicinity of the cages. Samples taken at the cages in the afternoon showed increased PO₄³⁻ concentrations in comparison to those taken in the morning. Dilution and grazing are probably both responsible for the lack of detectable signs of eutrophication.