The West University of Timișoara (Romanian: Universitatea de Vest din Timișoara; abbreviated UVT) is a public higher education institution located in Timișoara. Classified by the Ministry of National Education as a university of education and scientific research, UVT is one of the nine members of the Universitaria Consortium (the group of Romanian elite universities). Also, the West University is a component institution of the National Research–Development–Innovation System in its capacity as an accredited higher education institution.The university was founded by the Decree-Law no. 660 issued on 30 December 1944, which stipulates that a university must be created in western Romania. Its first faculties either were dissolved or became independent institutions. These independent higher education institutions became a sole university at the end of September 1962. In 1968 the institution became an independent university. A difficult period followed, especially for the humanities and the exact sciences. Fields of study such as music, fine arts, history, geography, natural sciences and chemistry have all but disappeared, while philology has greatly restricted its activity. As a result, many of the faculties were transferred to other institutions. 1989, the year of the Romanian Revolution, was a turning point in the evolution of the university. It led to the present-day conditions. An essential mentality change took place in the perception of the academic institution, in accordance with the democratic institutions in Western Europe. A substantial institutional reform was carried out, beginning with the redefining of the university's mission by establishing its objectives.The West University of Timișsoara comprises 11 faculties with the respective departments, as well as a teacher training department. The faculties that operate within UVT offer nationally accredited study programs at bachelor's, master's and doctoral level in the following fields: Arts and Design; Chemistry, Biology, Geography; Economics and Business Administration; Law; Letters, History and Theology; Mathematics and Computer Science; Music and Theater; Physical Education and Sports; Physics; Political Sciences, Philosophy and Communication Sciences; Sociology and Psychology.
This review has explored the fundamental principles of thermal field theory in the context of a background magnetic field, highlighting its theoretical framework and some of its applications to the thermo-magnetic QCD plasma generated in heavy-ion collisions. Our discussion has been limited to equilibrium systems for clarity and conciseness. We analyzed bulk thermodynamic characteristics including the phase diagram as well as real-time observables, shedding light on the behaviour and dynamics of the thermo-magnetic QCD medium relevant to heavy-ion physics.
The acceptance of, perceived advantages to, and skepticism toward the integration of artificial intelligence (AI) in undergraduate education is investigated in this paper. In this study, a total of 675 students from six Romanian universities answered a self-administered online questionnaire evaluating three main aspects: AI acceptance, AI benefits, and AI skepticism. While AI skepticism has a modest but substantial negative influence (β = −0.113, p = 0.001), results show that AI benefits favorably predict AI acceptance (β = 0.541, p = 0.001). Whereas AI skepticism negatively correlates with AI acceptance (r = −0.124, p = 0.001), correlational analysis reveals a high positive association between AI acceptance and AI benefits (r = 0.544, p = 0.001). Despite concerns about its limitations, the regression model suggests that students’ willingness to embrace AI in education is mostly driven by its perceived advantages. This explains 30.8% of the variance in AI acceptance (R2 = 0.308, F(2, 641) = 142.909, p < 0.001). These results highlight the importance of techniques that improve perceived benefits while addressing uncertainty since they offer insightful analysis of student attitudes regarding artificial intelligence integration in higher education. By guiding policy decisions and educational activities meant to maximize AI-driven learning environments, this study adds to the current conversation on artificial intelligence adoption in education.
We construct and analyze a hierarchical direct solver for linear systems arising from the discretization of boundary integral equations using the Quadrature by Expansion (QBX) method. Our scheme builds on the existing theory of Hierarchical Semi-Separable (HSS) matrix operators that contain low-rank off-diagonal submatrices. We use proxy-based approximations of the far-field interactions and the Interpolative Decomposition (ID) to construct compressed HSS operators that are used as fast direct solvers for the original system. We describe a number of modifications to the standard HSS framework that enable compatibility with the QBX family of discretization methods. We establish an error model for the direct solver that is based on a multipole expansion of the QBX-mediated proxy interactions and standard estimates for the ID. Based on these theoretical results, we develop an automatic approach for setting scheme parameters based on user-provided error tolerances. The resulting solver seamlessly generalizes across two- and three-dimensional problems and achieves state-of-the-art asymptotic scaling. We conclude with numerical experiments that support the theoretical expectations for the error and computational cost of the direct solver.
We prove that, for any continuous f: Z[1, T] X (R-N)(T )-> R-N, the non-homogeneous discrete Dirichlet problem Delta[Phi(Delta U(N-1))] = f(n,u(1), ..., u(T)) (n is an element of Z[1,T]); u(0) = A,u(T+1) = B, where Phi : B-a -> R(N )is a potential homeomorphism, is solvable iff |A-B|< (T+1)a. Our approach relies on the Legendre-Fenchel transform and Brouwer's fixed point theorem.
Understanding the relationship between language attitudes and proficiency is essential for improving language proficiency and shaping effective educational and policy strategies. This correlational meta-analysis synthesizes 132 effect sizes nested within 46 independent samples from 33 research reports (N = 20,505) to examine this relationship and how it is moderated by different attitude objects and contextual and methodological variables. The overall analysis revealed a significant small to medium association (r = .34, 95
