6 results match your criteria: "Iran Telecommunication Research Center[Affiliation]"

Introduction: The study explores the use of Electroencephalograph (EEG) signals as a means to uncover various states of the human brain, with a specific focus on emotion classification. Despite the potential of EEG signals in this domain, existing methods face challenges. Features extracted from EEG signals may not accurately represent an individual's emotional patterns due to interference from time-varying factors and noise.

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The main drawback of the transmissive focusing metasurface (TFM) is its low operational bandwidth and aperture efficiency. Increasing both of these radiation characteristics simultaneously is a major challenge for these structures. This paper introduces a novel multi-state coding metasurface that utilizes system-level and element-level synthesis approaches to enhance frequency bandwidth and aperture efficiency.

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Iranian health financing system challenges to promote health outcomes: Qualitative study.

J Educ Health Promot

May 2023

Department of Health Services Management, Student Research Committee, Health Management and Economics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

Background: Adequate health financing system should have key criteria and characteristics such as risk distribution over time, risk accumulation, sustainable resource provision, and resource allocation based on meeting essential needs. Weakness of the tariff system, lack of attention to strategic purchasing, inefficient allocation of manpower, and a weak payment system are among the problems within the Iranian financing system. Given the weaknesses of the current health financing system, it seems necessary to identify challenges and provide effective solutions to address them.

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In this study, two effective approaches are combined which are implemented at the element design level and system design level to simultaneously improve the frequency bandwidth and aperture efficiency of a dual-polarized single-layer reflecting metasurface. At the element design level, a broadband behavior is realized by using the polarization conversion technique (PCT) which is a novel technique to enhance the bandwidth of the element. To this end, an anisotropic metasurface with the I-shaped metal patch is proposed for rotating the polarization of the wave emitted from a point source by 90[Formula: see text] and making a continuous phase shift in a full range of 360[Formula: see text] within 8-18 GHz.

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In this article, several versatile electromagnetic (EM) waves are presented with predefined shapes and directions based on the holography and convolution theorem. Inspiring the holography theory, a reflective interferogram is characterized by interfering the near field distributions of the object and reference waves. In this regard, the interference pattern on the hologram could be viewed as the inverse Fourier transform of the object and reference waves.

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Techniques from coding theory are able to improve the efficiency of neuroinspired and neural associative memories by forcing some construction and constraints on the network. In this letter, the approach is to embed coding techniques into neural associative memory in order to increase their performance in the presence of partial erasures. The motivation comes from recent work by Gripon, Berrou, and coauthors, which revisited Willshaw networks and presented a neural network with interacting neurons that partitioned into clusters.

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