Relationship Between DDT Concentrations with Multiparity and Breastfeeding History.

Organochlorine pesticides are persistent organic pollutants (POPs) that can enter the body through environmental exposure and food consumption. The aim of this study was to investigate the influence of parity and breast milk consumption on dichlorodiphenyltrichloroethane (DDT) concentrations in women from Southern Mexico. Gas chromatography was used to detect o,p'-DDT, p,p'-DDT, and p,p'-dichlorodiphenyldichloroethylene (DDE) in milk samples.

Risk Factors Associated with COVID-19 Lethality: A Machine Learning Approach Using Mexico Database.

Identifying risk factors associated with COVID-19 lethality is crucial in combating the ongoing pandemic. In this study, we developed lethality predictive models for each epidemiological wave and for the overall dataset using the Extreme Gradient Boosting technique and analyzed them using Shapley values to determine the contribution levels of various features, including demographics, comorbidities, medical units, and recent medical information from confirmed COVID-19 cases in Mexico between February 23, 2020, and April 15, 2022. The results showed that pneumonia and advanced age were the most important factors predicting patient death in all cohorts.

Feature Extraction of a Non-Stationary Seismic-Acoustic Signal Using a High-Resolution Dyadic Spectrogram.

Using a novel mathematical tool called the Te-gram, researchers analyzed the energy distribution of frequency components in the scale-frequency plane. Through this analysis, a frequency band of approximately 12 Hz is identified, which can be isolated without distorting its constituent frequencies. This band, along with others, remained inseparable through conventional time-frequency analysis methods.

Evaluation of tools for taxonomic classification of viruses.

Viruses are the most abundant infectious agents on earth, and they infect living organisms such as bacteria, plants and animals, among others. They play an important role in the balance of different ecosystems by modulating microbial populations. In humans, they are responsible for some common diseases and may cause severe illnesses.

Socioeconomic determinants of health and COVID-19 in Mexico.

Introduction: The population living in conditions of poorness has a heavier pathological burden than social strata with better economic possibilities.

Objective: To determine the influence of socioeconomic and demographic factors on COVID-19 morbidity, mortality and lethality in municipalities and states of Mexico.

Methods: Morbidity, mortality and lethality associated with COVID-19 were analyzed according to the human development index and its indicators, and type of population.

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No disponible.

A statistically coherent robust multidimensional classification scheme for water.

Serious limitations of the existing water classification schemes prompted us to propose a new statistically coherent water nomenclature system. An extensive database of ionic charge-balanced concentrations of 8 elements (4 cations Ca, Mg, Na, and K; and 4 anions SO, Cl, HCO, and CO), in 46,292 multivariate outlier-free simulated samples, was used for training the multidimensional classification system. The initial assignment for 16 classes was achieved from the greater molar concentration concept of each cation and anion, called the Greater molar conc model.

Dietary habits associated with the presence of organochlorine pesticides in human milk.

This study aims to establish the relationship between the consumption of certain foods and the presence of organochlorine pesticides in human milk. A total of 167 samples of breastmilk were collected. Sample analysis was carried out by gas chromatography with electron capture detector.

Comparative performance of four single extreme outlier discordancy tests from Monte Carlo simulations.

Using highly precise and accurate Monte Carlo simulations of 20,000,000 replications and 102 independent simulation experiments with extremely low simulation errors and total uncertainties, we evaluated the performance of four single outlier discordancy tests (Grubbs test N2, Dixon test N8, skewness test N14, and kurtosis test N15) for normal samples of sizes 5 to 20. Statistical contaminations of a single observation resulting from parameters called δ from ±0.1 up to ±20 for modeling the slippage of central tendency or ε from ±1.