PURPOSE To evaluate the effect of oral supplementation with omega-3 (ω-3) fatty acids (FAs) in improving contrast sensitivity (CS) of patients with moderate meibomian gland dysfunction (MGD). METHODS In this prospective study, 60 patients with moderate MGD were allocated alternately to treatment and control groups. Both groups received warm compresses, lid massage, and artificial tear substit...

Ontology engineering and maintenance require (semi-)automated ontology change operations. Intensive research has been conducted on TBox and ABox changes in description logics (DLs), and various change operators have been proposed in the literature. Existing operators largely fall into two categories: syntax-based and model-based. While each approach has its advantages and disadvantages, an impo...

Reasoning about temporal and spatial information is a common task in computer science, especially in the field of artificial intelligence. The topic of this thesis is the study of such reasoning from a computational perspective. We study a number of different qualitative point based formalisms for temporal reasoning and provide a complete classification of computational tractability for differe...

Social signals are commonly used to facilitate the usability of humanoid robots. While providing robot with an extended expressibility, these often applied only in structured interactions where parts familiarization or farewell processes disregarded evaluation. In order establish consideration a more comprehensive view, this article presents holistic model human encounters social robot. We prop...

Quantum Neural Networks (QNN) are considered a candidate for achieving quantum advantage in the Noisy Intermediate Scale computer (NISQ) era. Several QNN architectures have been proposed and successfully tested on benchmark datasets machine learning. However, quantitative studies of QNN-generated entanglement investigated only up to few qubits. Tensor network methods allow emulate circuits with...

Stochastic switching circuits are relay circuits that consist of stochastic switches called pswitches. The study of stochastic switching circuits has widespread applications in many fields of computer science, neuroscience, and biochemistry. In this paper, we discuss several properties of stochastic switching circuits, including robustness, expressibility, and probability approximation. First, ...

Polynuclear transition metal complexes such as the P-cluster and FeMo-cofactor of nitrogenase with eight centers represent a great challenge for current electronic structure methods. In this work, we initiated use comb tensor network states (CTNS), whose underlying topology has one-dimensional backbone several branches, many-body wavefunction ansatz to tackle these challenging systems. As an im...

Abstract Establishing a predictive ab initio method for solid systems is one of the fundamental goals in condensed matter physics and computational materials science. The central challenge how to encode highly-complex quantum-many-body wave function compactly. Here, we demonstrate that artificial neural networks, known their overwhelming expressibility context machine learning, are excellent to...

We develop two cutting-edge approaches to construct deep neural networks representing the purified finite-temperature states of quantum many-body systems. Both methods commonly aim represent Gibbs state by a highly expressive neural-network wave function, exemplifying idea purification. The first method is an entirely deterministic approach generate Boltzmann machines exactly. This strongly ass...

Исследуется задача выразимости всех функций x1(t), x2(t), . , xn(t), входящих в заданную однородную систему линейных дифференциальных уравнений с постоянными коэффициентами x′(t) = A·x(t), виде комбинаций производных только одной неизвестной функции xk(t), входящей эту систему. Найден простой критерий системы A·x(t) xk(t) и доказана его корректность. На основе доказанного критерия разработан со...