Stepwise Iterative Fourier Transform: The SIFT

A program, designed specifically to study the respective effects of some common data problems on results obtained through stepwise iterative Fourier transformation of synthetic data with known waveform composition, was outlined. Included in this group were the problems of gaps in the data, different time-series lengths, periodic but nonsinusoidal waveforms, and noisy (low signal-to-noise) data. Results on sinusoidal data were also compared with results obtained on narrow band noise with similar characteristics. The findings showed that the analytic procedure under study can reliably reduce data in the nature of (1) sinusoids in noise, (2) asymmetric but periodic waves in noise, and (3) sinusoids in noise with substantial gaps in the data. The program was also able to analyze narrow-band noise well, but with increased interpretational problems. The procedure was shown to be a powerful technique for analysis of periodicities, in comparison with classical spectrum analysis techniques. However, informed use of the stepwise procedure nevertheless requires some background of knowledge concerning characteristics of the biological processes under study

Statistical assessment of a unique time series analysis technique

Empirical tests of a particular least squares multiple prediction program were studied, as well as the relationship of this particular program to general least squares multiple prediction theory. Empirical evaluation and test of the program involved: (1) conversion of the program to run on an IBM 360/44 with replication of test results obtained on a Univac 1108; and (2) generation and analysis of Monte Carlo simulated data with the objective of comparison against results theoretically obtainable from spectrum analysis routines

Temperature-dependent phenology of Plutella xylostella (Lepidoptera: Plutellidae): Simulation and visualization of current and future distributions along the Eastern Afromontane

There is a scarcity of laboratory and field-based results showing the movement of the diamondback moth (DBM) Plutella xylostella (L.) across a spatial scale. We studied the population growth of the diamondback moth (DBM) Plutella xylostella (L.) under six constant temperatures, to understand and predict population changes along altitudinal gradients and under climate change scenarios. Non-linear functions were fitted to continuously model DBM development, mortality, longevity and oviposition. We compiled the best-fitted functions for each life stage to yield a phenology model, which we stochastically simulated to estimate the life table parameters. Three temperature-dependent indices (establishment, generation and activity) were derived from a logistic population growth model and then coupled to collected current (2013) and downscaled temperature data from AFRICLIM (2055) for geospatial mapping. To measure and predict the impacts of temperature change on the pest's biology, we mapped the indices along the altitudinal gradients of Mt. Kilimanjaro (Tanzania) and Taita Hills (Kenya) and assessed the differences between 2013 and 2055 climate scenarios. The optimal temperatures for development of DBM were 32.5, 33.5 and 33ÊC for eggs, larvae and pupae, respectively. Mortality rates increased due to extreme temperatures to 53.3, 70.0 and 52.4% for egg, larvae and pupae, respectively. The net reproduction rate reached a peak of 87.4 female offspring/female/generation at 20ÊC. Spatial simulations indicated that survival and establishment of DBM increased with a decrease in temperature, from low to high altitude. However, we observed a higher number of DBM generations at low altitude. The model predicted DBM population growth reduction in the low and medium altitudes by 2055. At higher altitude, it predicted an increase in the level of suitability for establishment with a decrease in the number of generations per year. If climate change occurs as per the selected scenario, DBM infestation may reduce in the selected region. The study highlights the need to validate these predictions with other interacting factors such as cropping practices, host plants and natural enemies.Peer reviewe

Coma hipopotasémico: a propósito de un caso

Introduction: coma is the extreme degradation of consciousness. A syndrome characterized by a loss of vegetative functions, as an expression of acute and severe brain dysfunction.Presentation of the case: a 65-year-old male patient who two years ago commenced showing signs of loss of consciousness for two days In inter-crisis periods the studies did not confirm positive results. He was brought to the emergency room in a state of hyporeflexic coma. All parameters were normal except for a very discrete metabolic alkalosis and severe hypokalemia with 1,3 millimoles of potassium. General measures and complementary examinations were performed. Potassium values were replenished. As the potassium values standardized, a process of consciousness recovery was initiated. It was interpreted as a hypokalemic coma.Conclusions: hypopotassemia is a common imbalance, with repercussions in the different systems; this imbalance can result in alterations of the cardiovascular dynamics, progressive muscle weakness and coma. Therefore, in case of symptoms similar to hypokalemia, it is required to work on its diagnosis and treatment.Introducción: El coma es la máxima degradación del estado de conciencia. Síndrome caracterizado por una pérdida de las funciones de la vida de relación y conservación de las de la vida vegetativa, como expresión de una disfunción cerebral aguda y grave.Presentación del caso: paciente masculino de 65 años de edad que hace dos años comenzó con cuadros de pérdida de conciencia por espacio de dos días. En períodos intercrisis los estudios no arrojaron resultados positivos. Es traído a servicio de urgencia en estado de coma hiporrefléctico. Se tomaron medidas generales y se realizaron complementarios. Todo en parámetros de normalidad excepto por una muy discreta alcalosis metabólica y una hipocaliemia severa con 1,3 mili moles de potasio. Se reponen valores de potasio. En la medida que los valores de potasio se recuperaban se iniciaba un proceso de recuperación de la conciencia. Se interpreta como un coma hipopotasémico.Conclusiones: la hipopotasemia es un desbalance común, con repercusiones en los diferentes sistemas, que puede causar desde alteraciones de la dinámica cardiovascular, debilidad muscular progresiva y coma.  De ahí que ante sintomatologías similares a una hipopotasemia se deba trabajar en su diagnóstico y tratamiento.

Human Neurobehavioral Effects of Long-Term Exposure to Styrene: A Meta-Analysis

Many reports in the literature suggest that long-term exposure to styrene may exert a variety of effects on the nervous system, including increased choice reaction time and decreased performance of color discrimination and color arrangement tasks. Sufficient information exists to perform a meta-analysis of these observations quantifying the relationships between exposure (estimated from biomarkers) and effects on two measures of central nervous system function: reaction time and color vision. To perform the meta-analysis, we pooled data into a single database for each end point. End-point data were transformed to a common metric of effect magnitude (percentage of baseline). We estimated styrene concentration from biomarkers of exposure and fitted linear least-squares equations to the pooled data to produce dose–effect relationships. Statistically significant relationships were demonstrated between cumulative styrene exposure and increased choice reaction time as well as increased color confusion index. Eight work-years of exposure to 20 ppm styrene was estimated to produce a 6.5% increase in choice reaction time, which has been shown to significantly increase the probability of automobile accidents. The same exposure history was predicted to increase the color confusion index as much as 1.7 additional years of age in men