Phase diagram of an extended Agassi model

Background: The Agassi model is an extension of the Lipkin-Meshkov-Glick model that incorporates the pairing interaction. It is a schematic model that describes the interplay between particle-hole and pair correlations. It was proposed in the 1960's by D. Agassi as a model to simulate the properties of the quadrupole plus pairing model. Purpose: The aim of this work is to extend a previous study by Davis and Heiss generalizing the Agassi model and analyze in detail the phase diagram of the model as well as the different regions with coexistence of several phases. Method: We solve the model Hamiltonian through the Hartree-Fock-Bogoliubov (HFB) approximation, introducing two variational parameters that play the role of order parameters. We also compare the HFB calculations with the exact ones. Results: We obtain the phase diagram of the model and classify the order of the different quantum phase transitions appearing in the diagram. The phase diagram presents broad regions where several phases, up to three, coexist. Moreover, there is also a line and a point where four and five phases are degenerated, respectively. Conclusions: The phase diagram of the extended Agassi model presents a rich variety of phases. Phase coexistence is present in extended areas of the parameter space. The model could be an important tool for benchmarking novel many-body approximations.Comment: Accepted for publication in PR

An extended Agassi model: algebraic structure, phase diagram, and large size limit

The Agassi model is a schematic two-level model that involves pairing and monopole-monopole interactions. It is, therefore, an extension of the well known Lipkin-Meshkov-Glick (LMG) model. In this paper we review the algebraic formulation of an extension of the Agassi model as well as its bosonic realization through the Schwinger representation. Moreover, a mean-field approximation for the model is presented and its phase diagram discussed. Finally, a $1/j$ analysis, with $j$ proportional to the degeneracy of each level, is worked out to obtain the thermodynamic limit of the ground state energy and some order parameters from the exact Hamiltonian diagonalization for finite$-j$.Comment: Accepted in Physica Scripta. Focus on SSNET 201

Hallazgos especiales del sitio Casa de Piedra de Ortega : provincia de Río Negro

Presentamos el análisis de los hallazgos especiales del sitio Casa de Piedra de Ortega, provincia de Río Negro. El conjunto abarca cuentas de vidrio, hueso, piedra y valva; valvas con decoración y/o adherencias, recortes de hueso cuadrangulares, un fragmento óseo decorado y placas de piedra y cáscaras de huevo de ñandú grabadas. Al estudio microscópico de los materiales se sumó la observación con lupa binocular de bajos aumentos, para conocer las técnicas de manufactura y los procesos de modificación posteriores a la confección, y la información proveniente de documentos escritos. Finalmente, realizamos consideraciones acerca del valor simbólico de estos objetos.Fil: Fernández, Mabel M.. Universidad Nacional de LujánFil: Ramos, Mariano S. . Consejo Nacional de Investigaciones Científicas y Técnica

Ab initio investigation of the H2O2 + F elementary reaction

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Estimating the one-repetition maximum on the leg-press exercise in female breast cancer survivors

We examined the accuracy of twelve different velocity-based methods for predicting the bilateral leg-press exercise one-repetition maximum (1RM) in breast cancer survivors. Twenty-one female breast cancer survivors (age 50.2 ± 10.8 years) performed an incremental loading test up to the 1RM. Individual load-velocity relationships were modeled by linear and quadratic polynomial regression models considering the mean velocity (MV) and peak velocity (PV) values recorded at five incremental loads (~45-55-65-75-85% of 1RM) (multiple-point methods) and by a linear regression model considering only the two distant loads (~45–85% of 1RM) (two-point method). The 1RM was always estimated through these load-velocity relationships as the load associated with a general (MV: 0.24 m/s; PV: 0.60 m/s) and an individual (MV and PV of the 1RM trial) minimal velocity threshold (MVT). Compared to the actual 1RM, the 1RMs estimated by all linear regression models showed trivial differences (Hedge’s g ranged from 0.08 to 0.17), very large to nearly perfect correlations (r ranged from 0.87 to 0.95), and no heteroscedasticity of the errors (coefficient of determination (r2) < 0.10 obtained from the relationship of the raw differences between the actual and predicted 1RMs with their average value). Given the acceptable and comparable accuracy for all 1RM linear prediction methods, the two-point method and a general MVT could be recommended to simplify the testing procedure of the bilateral leg-press 1RM in breast cancer survivorsPatronato Municipal de Deportes, Ayuntamiento de Almería, University of Almería: TRFE-SI-2019/004, TRFE-SI-2022/010University of Almería: TRFE-BT-2019/002Ministry of Science, Innovation and Universities of the Government of Spain: FPU19/04608 and FPU20/05746Sede Provincial de Almería de la Asociación Española Contra el Cáncer and the AECC Scientific Foundation: PRDAM222381EST

Descubrimiento automático de mappings en un caso de uso real con altas exigencias de certeza

Los sistemas de integración de información resuelven las diferencias entre las fuentes, en la mayoría de los casos, mediante la creación de mappings, puentes semánticos entre los elementos de las fuentes. Hasta ahora se han propuesto comparadores para generar un conjunto de mappings para cada par de elementos de las fuentes a integrar, y se han realizado estudios experimentales con ellos. El valor añadido del presente trabajo frente a los trabajos experimentales anteriores es que se ha llevado a cabo en un caso real embebido en una aplicación real (en el dominio geográfico) con altas exigencias de certeza

OEGMerge: a case-based model for merging ontologies

No long ago ontology merging was a necessary activity, however, the current methods used in ontology merging present neither detailed cases nor an accurate formalization. For validating these methods, it is convenient to have a case list as complete as possible. In this paper we present the OEGMerge model, developed from the OEG (Ontological Engineering Group at UPM) experience, which describes precisely the merging casuistic and the actions to carry out in each case. In this first approach, the model covers only the taxonomy of concepts, attributes and relations

Estudio y formalización del proceso de mezcla de ontologías

Desde hace tiempo la mezcla de ontolog?as es una actividad necesaria, sin embargo, los actuales m?todos de mezcla de ontolog?as no tienen una casu?stica detallada ni una formalizaci?n precisa. Para la validaci?n de estos m?todos, es conveniente disponer de una casu?stica lo m?s completa posible. Por ello, en este art?culo se presenta el modelo OEGMerge, desarrollado a partir de la experiencia del Grupo de Ingenier?a Ontol?gica (OEG) de la UPM, en el que se describe detallada y formalmente la casu?stica de mezcla y las acciones a realizar en cada caso. En esta primera aproximaci?n s?lo se abarca taxonom?a de conceptos, atributos y relaciones