Publications by authors named "L Mercado-Diaz"

The field of emotion recognition from physiological signals is a growing area of research with significant implications for both mental health monitoring and human-computer interaction. This study introduces a novel approach to detecting emotional states based on fractal analysis of electrodermal activity (EDA) signals. We employed detrended fluctuation analysis (DFA), Hurst exponent estimation, and wavelet entropy calculation to extract fractal features from EDA signals obtained from the CASE dataset, which contains physiological recordings and continuous emotion annotations from 30 participants.

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The continuous detection of emotional states has many applications in mental health, marketing, human-computer interaction, and assistive robotics. Electrodermal activity (EDA), a signal modulated by sympathetic nervous system activity, provides continuous insight into emotional states. However, EDA possesses intricate nonstationary and nonlinear characteristics, making the extraction of emotion-relevant information challenging.

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Considering that the prevalence of some hematologic malignancies may have a geographic distribution that could be related with its etiology, a group of 2,387 patients with acute leukemia (1,968 adults and 419 children) was studied along a 5-year period in six different locations within México. Twenty-seven patients (16 males and 11 females) with hairy cell leukemia (HCL) were identified. The adjusted overall proportion of HCL, after excluding data from centers reporting only adults, was 1.

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Twenty-four adult patients with AML were treated with standard "7 + 3" chemotherapy. After administering the myeloablative drugs in the hospital, patients were instructed to continue their supportive treatment on an outpatient basis; they received ciprofloxacin, cotrimoxasole and itraconazole vo until the absolute granulocyte count rose above 1 x 10(9)/l. Platelet concentrates were given every other day until the platelet count rose above 20 x 10(9)/l.

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In this prospective study we analyze the long-term survival using 300 mg/day zidovudine (AZT) in patients with advanced forms of human immunodeficiency virus infection. The study is in a private-practice setting, over a 5-year period, and includes 72 patients with advanced human immunodeficiency virus infection (categories C1, 2 or 3). The median survival (SV) is above 60 months (24-months SV 65% and 60-month SV 54%).

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