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1.
Genome Biol Evol ; 8(1): 109-25, 2015 Nov 27.
Artículo en Inglés | MEDLINE | ID: mdl-26615215

RESUMEN

Physarum polycephalum is a well-studied microbial eukaryote with unique experimental attributes relative to other experimental model organisms. It has a sophisticated life cycle with several distinct stages including amoebal, flagellated, and plasmodial cells. It is unusual in switching between open and closed mitosis according to specific life-cycle stages. Here we present the analysis of the genome of this enigmatic and important model organism and compare it with closely related species. The genome is littered with simple and complex repeats and the coding regions are frequently interrupted by introns with a mean size of 100 bases. Complemented with extensive transcriptome data, we define approximately 31,000 gene loci, providing unexpected insights into early eukaryote evolution. We describe extensive use of histidine kinase-based two-component systems and tyrosine kinase signaling, the presence of bacterial and plant type photoreceptors (phytochromes, cryptochrome, and phototropin) and of plant-type pentatricopeptide repeat proteins, as well as metabolic pathways, and a cell cycle control system typically found in more complex eukaryotes. Our analysis characterizes P. polycephalum as a prototypical eukaryote with features attributed to the last common ancestor of Amorphea, that is, the Amoebozoa and Opisthokonts. Specifically, the presence of tyrosine kinases in Acanthamoeba and Physarum as representatives of two distantly related subdivisions of Amoebozoa argues against the later emergence of tyrosine kinase signaling in the opisthokont lineage and also against the acquisition by horizontal gene transfer.


Asunto(s)
Evolución Molecular , Genoma de Protozoos , Physarum polycephalum/genética , Proteínas Protozoarias/genética , Proteínas Tirosina Quinasas Receptoras/genética , Transducción de Señal , Proteínas de Ciclo Celular/genética , Proteínas de Ciclo Celular/metabolismo , Sitios Genéticos , Proteínas Protozoarias/metabolismo , Proteínas Tirosina Quinasas Receptoras/metabolismo , Transcriptoma
3.
J Phys Chem A ; 113(52): 15106-17, 2009 Dec 31.
Artículo en Inglés | MEDLINE | ID: mdl-19824616

RESUMEN

Recoupling coefficients (3nj symbols) are unitary transformations between binary coupled eigenstates of N = (n + 1) mutually commuting SU(2) angular momentum operators. They have been used in a variety of applications in spectroscopy, quantum chemistry and nuclear physics and quite recently also in quantum gravity and quantum computing. These coefficients, naturally associated to cubic Yutsis graphs, share a number of intriguing combinatorial, algebraic, and analytical features that make them fascinating objects to be studied on their own. In this paper we develop a bottom-up, systematic procedure for the generation of 3nj from 3(n - 1)j diagrams by resorting to diagrammatical and algebraic methods. We provide also a novel approach to the problem of classifying various regimes of semiclassical expansions of 3nj coefficients (asymptotic disentangling of 3nj diagrams) for n > or = 3 by means of combinatorial, analytical and numerical tools.

4.
J Chem Phys ; 129(16): 161101, 2008 Oct 28.
Artículo en Inglés | MEDLINE | ID: mdl-19045238

RESUMEN

Spin networks, namely, the 3nj symbols of quantum angular momentum theory and their generalizations to groups other than SU(2) and to quantum groups, permeate many areas of pure and applied science. The issues of their computation and characterization for large values of their entries are a challenge for diverse fields, such as spectroscopy and quantum chemistry, molecular and condensed matter physics, quantum computing, and the geometry of space time. Here we record progress both in their efficient calculation and in the study of the large j asymptotics. For the 9j symbol, a prototypical entangled network, we present and extensively check numerically formulas that illustrate the passage to the semiclassical limit, manifesting both the occurrence of disentangling and the discrete-continuum transition.

5.
J Chem Phys ; 124(21): 214104, 2006 Jun 07.
Artículo en Inglés | MEDLINE | ID: mdl-16774395

RESUMEN

This work demonstrates that the quantum mechanical moments of a state described by the density matrix correspond to discrete spherical harmonic moments of the classical multipole expansion of the spatial distribution of the angular momentum vectors. For the diagonal density matrix elements, this work exploits the fact that the quantum mechanical vector coupling (Clebsch-Gordan) coefficients become increasingly accurate discrete representations of spherical harmonics as j increases. A Schwinger-type basis accounts for nonaxially symmetric angular distributions, which result in nonzero off-diagonal elements of the density matrix. The resulting discrete minimum uncertainty picture of the classical moments has a stringent equivalence with the quantum mechanical one for all j and provides an unambiguous connection for the classical and quantum moments in the large j limit. The equivalence is numerically tested for simple models, and there is a satisfying equivalence even for small j. Applications, implications, and extensions are indicated, and the relevance of this work for the interpretation of classical mechanical simulations of inelastic and reactive molecular collisions will be documented elsewhere.

6.
Am J Health Syst Pharm ; 62(3): 285-8, 2005 Feb 01.
Artículo en Inglés | MEDLINE | ID: mdl-15719586

RESUMEN

PURPOSE: The estimated microbial contamination rate for complex, multiple-step, medium-risk-level compounding was studied. METHODS: The results of evaluations of the aseptic technique of pharmacists and technicians in compounding complex USP medium-risk-level sterile preparations were compiled to estimate the microbial contamination rate. The testing took place in 2002 and 2003 at a single institution and involved reconstitution of sterile dry growth medium and a series of complicated transfers of the medium from vials and ampuls to intravenous bags. The bags were incubated at 25-35 degrees C for 14 days and observed for microbial growth. RESULTS: Of 539 evaluations, 28 (5.2%) resulted in preparations that yielded microbial growth. Pharmacists' compounding resulted in a slightly lower contamination rate (4.4%) than that of technicians (6.2%). Inadvertent touch contamination may have been the principal source of the contamination. CONCLUSION: . A two-year series of 539 evaluations of the aseptic technique of pharmacists and technicians conducted with sterile growth medium and designed to simulate the compounding of USP medium-risk-level sterile preparations yielded an overall contamination rate of 5.2%.


Asunto(s)
Composición de Medicamentos/métodos , Contaminación de Medicamentos/prevención & control , Farmacia , Contaminación de Medicamentos/estadística & datos numéricos , Estudios de Evaluación como Asunto , Humanos
8.
Semin Oncol Nurs ; 18(2): 109-20, 2002 May.
Artículo en Inglés | MEDLINE | ID: mdl-12051162

RESUMEN

OBJECTIVES: To describe the nature and scope of the problem of medication errors in health care, with specific implications for error reduction and prevention. DATA SOURCES: Articles and research studies. CONCLUSIONS: Because of the complexity of chemotherapeutic regimens, requirements for supportive care drugs, and the physiologic vulnerability of patients due to their malignancies and intensive therapies, patients with cancer should be the focus of interdisciplinary medication error prevention programs. IMPLICATIONS FOR NURSING PRACTICE: Nurses play a critical role in patient safety and the implementation of preventive and risk-reducing interventions to improve the drug delivery process.


Asunto(s)
Antineoplásicos , Errores de Medicación , Neoplasias/tratamiento farmacológico , Enfermería Oncológica , Antineoplásicos/administración & dosificación , Antineoplásicos/efectos adversos , Antineoplásicos/uso terapéutico , Cuidados Críticos/métodos , Humanos , Errores de Medicación/mortalidad , Errores de Medicación/prevención & control , Errores de Medicación/estadística & datos numéricos , Factores de Riesgo
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