Lviv University

Despite the experimentally proven possibility of bioconjugation of cadmium-containing quantum dots with proteins, the physical mechanisms of formation and stability of bionanocomplexes remain unclear. In work, a thermodynamic analysis of the interaction between CdTe quantum dots and protein was performed. A model of the quantum dot–protein bionanocomplex was developed based on the method of self-consistent electron-deformation coupling, and a toxicological assessment was conducted using Drosophila melanogaster as a model object at all stages of ontogenesis. It was found that the quenching of albumin fluorescence is static, indicating the formation of a stable complex. Analysis revealed that the electron-deformation interaction plays a major role in the formation and stabilization of the CdTe–protein bionanocomplex. In the group of flies treated with CdTe, the percentage of their offspring fledging decreased to 53

We have investigated the effect of changing two microscopic parameters in a cell model with Curie-Weiss-type interaction on its phase behavior, namely the cell volume and ratio between repulsion and attraction intensities. The results are based on an exact solution previously derived for this model in the grand canonical ensemble. At sufficiently low temperatures, the cell model exhibits multiple first-order phase transitions. Varying the cell volume and the repulsion-to-attraction ratio, we represent a quantitative comparison of the chemical potential and pressure isotherms, as well as the pressure-temperature and temperature-density phase diagrams. The analysis of provided data shows that altering microscopic parameters does not lead to qualitative changes in the overall phase behavior of the cell model.

We investigate the tidal response of general five-dimensional (5D) black holes in nontrivial setting of N 1/4 2 supergravity with three vector multiplets known as STU theory, which include as special cases important solutions such as the Myers-Perry, Breckenridge-Myers-Peet-Vafa, 5D Reissner-Nordstr & ouml;m, Kerr-Newman, and dyonic black holes. Solutions are paramterized by their mass, two angular momenta, and up to three U(1) charges. Love numbers and dissipation coefficients are obtained in the static and dynamic cases. In the latter scenario, we find new, nontrivial conditions, realized in important limiting cases of the theory, such as the Bogomol'nyi-Prasad-Sommerfield limit, where frequency-independent vanishing conditions are obtained. We also develop a ladder formalism for static solutions and derive the conserved charges. To the best of our knowledge, this formalism had not been previously derived for 5D black holes, including neutral ones. Finally, we show the emergence of Love symmetry in the near-zone regime and derive the generators of the associated sl(2; R) algebra. It is shown that all conditions for Love-number vanishing can be explained by this algebra in terms of the highest-weight property.

This article addresses predictive monitoring of information systems under conditions of multidimensional functional-state evolution. Unlike conventional monitoring approaches focused on isolated anomalies, failures, or statistical deviations in data streams, the proposed approach treats an information system as a multilayer dynamic object influenced by interacting drift processes. The study considers nine drift types relevant to modern software-intensive and cyberinfrastructure environments: configuration, topology, role, policy, architectural, contextual, semantic, goal, and security drift. It is shown that these drifts affect not only current system parameters but also the validity of monitoring, interpretation, and decision-making processes. The current state of the field is analyzed and the literature is shown to remain fragmented across concept drift detection, multivariate change detection, software architecture erosion analysis, ontology evolution, role and policy evolution, context-aware access control, and self-adaptive systems. To address this fragmentation, the paper proposes an integrated predictive monitoring model based on an extended system state vector and a Predictive Drift Index for early identification of hazardous evolution trajectories. The model combines statistical, multivariate, architectural, contextual, semantic, and security-aware perspectives within a unified framework. A validation protocol is proposed, together with a simulation experiment based on controlled injection of isolated and combined drifts into a nine-dimensional system-state representation. The simulation demonstrates that the integrated predictive index reacts more clearly to multi-drift escalation than isolated indicators and supports earlier identification of degraded, vulnerable, anomalous, and critical trajectories. The proposed approach provides a basis for intelligent monitoring of evolving information systems.

The properties of the one-dimensional SU(3) population-imbalanced fermions are discussed. First, the system is assumed to be in the two-body resonance where all two-body scattering lengths diverge, and the only interaction between fermions that is taken into account is the short-range three-body one. In particular, we consider the situation when only one 'flavor' of fermions is macroscopically occupied, and there are exactly two atoms of the other two. This system supports the trimer and the medium-induced dimer states studied here in detail and shows evidence of color superfluidity. The impact of the two-body inter-impurity interaction that breaks the initial SU(3) symmetry on the properties of the bipolaron is revealed.