Traversable wormhole in logarithmic f(R) gravity by various shape and redshift functions

In this paper, we study the traversable wormhole solutions for a logarithmic corrected [Formula: see text] model by considering two different statements of shape [Formula: see text] and redshift [Formula: see text] functions. We calculate the parameters of the model including energy density [Formula: see text], tangential pressure [Formula: see text] and radial pressure [Formula: see text] for the corresponding forms of the functions. Then, we investigate different energy conditions such as null energy condition, weak energy condition, dominant energy condition and strong energy condition for our considered cases. Finally, we explain the satisfactory conditions of energy of the models by related plots.

Higgs mode in (2 + 1)-dimensional O(2) model

In this paper, we investigate the spectral functions of the Higgs mode in [Formula: see text] model, which can be experimentally realized in a two-dimensional Bose gas. Zero temperature limit is considered. Our calculation fully includes the 2-loop contributions. Peaks show up in the spectral functions of both the longitudinal and the scalar susceptibilities. Thus, this model cannot explain the disappearance of the response at the weak interaction limit. Neither it can explain the similarity between the longitudinal and the scalar susceptibilities in the visibility of the Higgs mode. A possible lower peak at about [Formula: see text] is also noted.

f(T) cosmology with nonzero curvature

We investigate exact and analytic solutions in [Formula: see text] gravity within the context of a Friedmann–Lemaître–Robertson–Walker background space with nonzero spatial curvature. For the power-law theory [Formula: see text] we find that the field equations admit an exact solution with a linear scalar factor for negative and positive spatial curvature. That Milne-like solution is asymptotic behavior for the scale factor near the initial singularity for the model [Formula: see text]. The analytic solution for that specific theory is presented in terms of Painlevé series for [Formula: see text]. Moreover, from the value of the resonances of the Painlevé series we conclude that the Milne-like solution is always unstable while for large values of the independent parameter, the field equations provide an expanding universe with a de Sitter expansion of a positive cosmological constant. Finally, the presence of the cosmological term [Formula: see text] in the studied [Formula: see text] model plays no role in the general behavior of the cosmological solution and the universe immerge in a de Sitter expansion either when the cosmological constant term [Formula: see text] in the [Formula: see text] model vanishes.

The Component Diagnosability of General Networks

The processor failures in a multiprocessor system have a negative impact on its distributed computing efficiency. Because of the rapid expansion of multiprocessor systems, the importance of fault diagnosis is becoming increasingly prominent. The [Formula: see text]-component diagnosability of [Formula: see text], denoted by [Formula: see text], is the maximum number of nodes of the faulty set [Formula: see text] that is correctly identified in a system, and the number of components in [Formula: see text] is at least [Formula: see text]. In this paper, we determine the [Formula: see text]-component diagnosability of general networks under the PMC model and MM[Formula: see text] model. As applications, the component diagnosability is explored for some well-known networks, including complete cubic networks, hierarchical cubic networks, generalized exchanged hypercubes, dual-cube-like networks, hierarchical hypercubes, Cayley graphs generated by transposition trees (except star graphs), and DQcube as well. Furthermore, we provide some comparison results between the component diagnosability and other fault diagnosabilities.

Effective field theory of the Higgs mode in a two-dimensional dilute Bose gas

In this paper, we investigate the spectral function of the Higgs mode in a two-dimensional Bose gas by using the effective field theory in the zero-temperature limit. Our approach explains the experimental feature that the peak of the spectral function is a soft continuum rather than a sharp peak, broadens and vanishes in the superfluid phase, which cannot be explained in terms of the [Formula: see text] model. We also find that the scalar susceptibility is the same as the longitudinal susceptibility.

Subjektives Krankheitswissen von Patienten mit Diabetes mellitus sichtbar machen

Zusammenfassung Hintergrund In dieser klinischen Pilotstudie wurde ein Weg skizziert, auf dem es mittels einer computerlinguistischen Methode aus der Wissensdiagnostik möglich ist, größere Stichproben im Hinblick auf ihre subjektiven Krankheitstheorien, speziell auf das subjektive Krankheitswissen und ihre daraus abgeleitete Versorgungserwartung hin zu untersuchen und die Vorstellungen zu visualisieren und klassifizieren. Dies erlaubt den Entwurf einer objektiven Typisierung des, subjektiv als wahr erachteten, Patientenwissens. Es wird dargestellt, warum die Überführung solch klassifizierten Wissens über das Krankheitswissen und subjektive Krankheitstheorien in der Arzt-Patienten-Interaktion die Kommunikation und letztlich die Adhärenz verbessern könnte.Mit dem hier eingesetzten methodischen Vorgehen ist eine hohe Zahl individueller Faktoren kein Hindernis mehr für die Analyse von Patientenvorstellungen. Bislang eingesetzte methodische Ansätze hatten das Problem der Multimodalität stets diskutiert. Mit dem vorgestellten Verfahren lässt sich die darin liegende Diversität auch innerhalb eines objektiven Analyseverfahrens nutzen. Methodik 74 Probanden (18 Diabetespatienten, 56 Gesunde) fertigten Texte an, die durch eine computerlinguistische Analyse mittels T-MITOCAR (Text-Model Inspection Trace of Concepts and Relations) semantisch geclustert und anschließend visualisiert und analysiert wurden. Ergebnisse Es konnten mehrere inhaltlich voneinander abgrenzbare Cluster identifiziert und beschrieben werden. Dabei zeigten sich unterschiedliche Modelle hinsichtlich der Vorstellungen über die Krankheit und deren Behandlung sowohl innerhalb als auch zwischen den verschiedenen Substichproben. Schlussfolgerungen Die Ergebnisse dieser Pilotstudie stellen einen Beitrag zu einem dokumentierten Instrumentarium zur besseren Einschätzung und Klassifikation von Patientenvorstellungen bei Diabetes mellitus dar. Die daraus resultierenden Wissenslandkarten (Teil der Ergebnisse) können Behandlern zur Kommunikationsvereinfachung dienen, da die Bedürfnisse der Patienten wesentlich schneller erfasst werden. Das Patientenwissen kann damit in neuer Weise fundiert in den Prozess des Shared Decision Making integriert werden.

Music

2The defining feature of music as a cognitive function is tonality (scale structure), since rhythmic structure is a shared feature with dance and poetry. In this chapter, the author develops a 4T (tonality/timing/texture/text) model of music, which views music as a suite of coordinative features in which rhythm provides time slots for interpersonal coordination and scale structure provides pitch slots for coordination. An important topic for the study of music’s evolution is its connection with both speech and language. Music and speech share a significant number of prosodic properties. However, a unique feature of music that is not found in speech is the process by which scale types are able to convey emotional meanings. Such scale/emotion associations allow music to modulate the interpretive meaning of narrative artforms, such as film, dance, and written texts (i.e. songs).

Shell evolution for neutron-rich 46–54Ar isotopes in the full and truncated fp neutron model spaces

The shell evolution of even–even drip line argon isotopes [Formula: see text] has been investigated via the shell model calculations using SDPF-U and SDPF-NR two-body effective interactions in two different shell model spaces [Formula: see text] and [Formula: see text]. In this work, the energy of first [Formula: see text], reduced transition probability [Formula: see text], excitation energy levels as well as how the proton shells evolve with [Formula: see text] have been studied. Excellent agreements were obtained for the first [Formula: see text] level along the investigated isotopes within [Formula: see text] and [Formula: see text] model spaces.

Study of the semileptonic Bc → ηcτ−v̄τ decay in W′ model

Recently, many discrepancies between the Standard Model (SM) predictions and experimental results have been found in [Formula: see text] quark transitions. Motivated by these discrepancies, we investigated the semileptonic [Formula: see text] decay in [Formula: see text] model. In this paper, we have estimated different decay observables such as branching ratio, lepton flavor universality (LFU) ratio [Formula: see text] and forward–backward asymmetry in the SM as well as in the [Formula: see text] model. In [Formula: see text] model, we find significant deviations from the SM for the observables except for the forward–backward asymmetry. This deviation gives us a possible indication of new physics (NP).

Text Classification by Genre Based on Rhythm Features

The article is devoted to the analysis of the rhythm of texts of different genres: fiction novels, advertisements, scientific articles, reviews, tweets, and political articles. The authors identified lexico-grammatical figures in the texts: anaphora, epiphora, diacope, aposiopesis, etc., that are markers of the text rhythm. On their basis, statistical features were calculated that describe quantitatively and structurally these rhythm features.The resulting text model was visualized for statistical analysis using boxplots and heat maps that showed differences in the rhythm of texts of different genres. The boxplots showed that almost all genres differ from each other in terms of the overall density of rhythm features. Heatmaps showed different rhythm patterns across genres. Further, the rhythm features were successfully used to classify texts into six genres. The classification was carried out in two ways: a binary classification for each genre in order to separate a particular genre from the rest genres, and a multi-class classification of the text corpus into six genres at once. Two text corpora in English and Russian were used for the experiments. Each corpus contains 100 fiction novels, scientific articles, advertisements and tweets, 50 reviews and political articles, i.e. a total of 500 texts. The high quality of the classification with neural networks showed that rhythm features are a good marker for most genres, especially fiction. The experiments were carried out using the ProseRhythmDetector software tool for Russian and English languages. Text corpora contains 300 texts for each language.