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Facultad de Ciencias
14
Total Impact Points
42
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Faculty of Engineering
16
Total Impact Points
28
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Faculty of Chemistry
66
Total Impact Points
23
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Publication History View all

  • [Show abstract] [Hide abstract]
    ABSTRACT: Objective To determine reference values for full blood count parameters in a population of children 8 to 12 years old, living at an altitude of 2760 m above sea level. Material and methods Our sample consisted of 102 individuals on whom a full blood count was performed. The parameters included: total number of red blood cells, platelets, white cells, and a differential count (millions/μl and %) of neutrophils, lymphocytes, monocytes, eosinophils and basophils. Additionally, we obtained values for hemoglobin, hematocrit, mean corpuscular volume, mean corpuscular hemoglobin, concentration of corpuscular hemoglobin and red blood cell distribution width. The results were statistically analyzed with a non-parametric test, to divide the sample in quartiles and obtain the lower and upper limits for our intervals. Moreover, the values for the intervals obtained from this analysis were compared to intervals obtained estimating + - 2 standard deviations above and below from our mean values. Results Our results showed significant differences compared to normal interval values reported for the adult Mexican population in most of the parameters studied. Conclusions The full blood count is an important laboratory test used routinely for the initial assessment of a patient. Values of full blood counts in healthy individuals vary according to gender, age and geographic location; therefore, each population should have its own reference values.
    Anales de Pediatría. 01/2014; 80(4):221–228.
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    ABSTRACT: Given a continuum X and n∈Nn∈N. Let H(X)∈{2X,C(X),Fn(X)}H(X)∈{2X,C(X),Fn(X)} be a hyperspace of X, where 2X2X, C(X)C(X) and Fn(X)Fn(X) are the hyperspaces of all nonempty closed subsets of X, all subcontinua of X and all nonempty subsets of X with at most n points, respectively, with the Hausdorff metric. For a mapping f:X→Yf:X→Y between continua, let H(f):H(X)→H(Y)H(f):H(X)→H(Y) be the induced mapping by f, given by H(f)(A)=f(A)H(f)(A)=f(A). On the other hand, for 1⩽m<n1⩽m<n, SFmn(X) denotes the quotient space Fn(X)/Fm(X)Fn(X)/Fm(X) and similarly, let SFmn(f) denote the natural induced mapping between SFmn(X) and SFmn(Y). In this paper we prove some relationships between the mappings f, 2f2f, C(f)C(f), Fn(f)Fn(f) and SFmn(f) for the following classes of mapping: atomic, confluent, light, monotone, open, OM, weakly confluent, hereditarily weakly confluent.
    Topology and its Applications 01/2014; 163:66–76.
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    ABSTRACT: In metazoan cells during the interphase nuclear DNA is organized in supercoiled, topologically constrained loops anchored to a proteinaceous compartment or substructure commonly known as the nuclear matrix (NM). The DNA-NM interactions result from a thermodynamically-driven process leading to the necessary dissipation of structural stress along chromosomal DNA, otherwise the chromosomes would break into pieces. Such DNA-NM interactions define a nuclear higher-order structure that is independent of chromatin proteins. On the other hand, a metazoan cell no longer able to undergo mitosis is defined as post-mitotic and this condition indicates a terminally differentiated cell that may survive in such a state for indefinite time. The non-reversible nature of the post-mitotic state suggests a non-genetic basis for it since no spontaneous or induced mutations can revert it. Yet in individual cells the loss of proliferative potential has both a developmental and a stochastic component. Here we discuss evidence suggesting that the stability of the nuclear higher-order structure is the factor that links the stochastic and developmental components leading to the post-mitotic state.
    Progress in Biophysics and Molecular Biology 01/2014;

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    Toluca, Mexico
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