1,453 research outputs found

    Cardiac Surgery and Allogeneic Blood Transfusions

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    Optimal Reactive Extraction of Valeric Acid from Aqueous Solutions Using Tri-n-propyl amine/Diluent and Dibenzyl amine/Diluent Systems

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    Reactive extraction of valeric acid from water by tri-n-propyl amine (TPA) and dibenzyl amine (DBA) dissolved in polar oxygenated aliphatic diluents (diethyl sebacate, diethyl succinate, diethyl malonate, ethyl caprylate, ethyl valerate and isoamyl alcohol) has been studied at T = 298 ± 0.2 K and Pp =101.3 ± 0.7 kPa . Distribution data have been subjected to formulation of an optimization structure for effective acid separation. The optimization approach uses separation ratio R and synergistic enhancement SE factors to efficiently identify optimum extraction ranges. Among the examined aliphatic ester and alcohol diluents, monoesters exhibit higher solvation efficiency comprising acid1–amine1 complex formation, while isoamyl alcohol yields larger loading factors. The uptake capacity of the amine/diluent system is ranging in the order TPA > DBA. Modeling efforts based on the mass-action law principles have shown considerable success. The mass action law chemodel and modified Langmuir approach are quite accurate yielding mean errors of 0.9 % and 0.7 %, respectively

    Belief propagation algorithm for computing correlation functions in finite-temperature quantum many-body systems on loopy graphs

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    Belief propagation -- a powerful heuristic method to solve inference problems involving a large number of random variables -- was recently generalized to quantum theory. Like its classical counterpart, this algorithm is exact on trees when the appropriate independence conditions are met and is expected to provide reliable approximations when operated on loopy graphs. In this paper, we benchmark the performances of loopy quantum belief propagation (QBP) in the context of finite-tempereture quantum many-body physics. Our results indicate that QBP provides reliable estimates of the high-temperature correlation function when the typical loop size in the graph is large. As such, it is suitable e.g. for the study of quantum spin glasses on Bethe lattices and the decoding of sparse quantum error correction codes.Comment: 5 pages, 4 figure

    An unusual presentation of a patient with intrathoracic stomach: a case report

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    An intrathoracic stomach is the end stage of a hiatal hernial diaphragm and has a very low incidence. Frequently the diagnosis is made incidentally by endoscopic or radiographic investigations. There could be no clinical symptoms, however an intrathoracic stomach could be life treating. In this case we report a 61-year-old woman with an atypical presentation of an intrathoracic stomach. The patient had fever, night sweats and cough; the chest X-ray showed a retroperitoneal mass. A computed tomography scan was performed for determining the diagnosis of an intrathoracic stomach

    Generating Employment For Turkey: Policy Alternatives In Comparison With Selected Countries

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    The main purpose of this paper is to provide some lessons for Turkey from the experiences of some selected countries that gained success in their fight against unemployment. In this respect, the experiences of selected countries; Ireland, Netherlands, United Kingdom and South Korea will be analyzed and the policy options for Turkey will be formed up. It is expected that the detailed analysis and comparison of the reforms in labor markets of these countries will put forward essential and applicable results. It is also supposed that our results will greatly contribute to the decrease in the unemployment level in Turkey, when applied. By doing so, this paper endeavors to get some meaningful policy findings for Turkey. In addition, it is believed that the comparison of the labor markets of these countries, the economic structures and labor markets of which are fairly different from each other will result in interesting findings

    Transmitter and Receiver Architectures for Molecular Communications: A Survey on Physical Design with Modulation, Coding, and Detection Techniques

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    Inspired by nature, molecular communications (MC), i.e., the use of molecules to encode, transmit, and receive information, stands as the most promising communication paradigm to realize the nanonetworks. Even though there has been extensive theoretical research toward nanoscale MC, there are no examples of implemented nanoscale MC networks. The main reason for this lies in the peculiarities of nanoscale physics, challenges in nanoscale fabrication, and highly stochastic nature of the biochemical domain of envisioned nanonetwork applications. This mandates developing novel device architectures and communication methods compatible with MC constraints. To that end, various transmitter and receiver designs for MC have been proposed in the literature together with numerable modulation, coding, and detection techniques. However, these works fall into domains of a very wide spectrum of disciplines, including, but not limited to, information and communication theory, quantum physics, materials science, nanofabrication, physiology, and synthetic biology. Therefore, we believe it is imperative for the progress of the field that an organized exposition of cumulative knowledge on the subject matter can be compiled. Thus, to fill this gap, in this comprehensive survey, we review the existing literature on transmitter and receiver architectures toward realizing MC among nanomaterial-based nanomachines and/or biological entities and provide a complete overview of modulation, coding, and detection techniques employed for MC. Moreover, we identify the most significant shortcomings and challenges in all these research areas and propose potential solutions to overcome some of them.This work was supported in part by the European Research Council (ERC) Projects MINERVA under Grant ERC-2013-CoG #616922 and MINERGRACE under Grant ERC-2017-PoC #780645

    A Quantum-Quantum Metropolis Algorithm

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    Recently, the idea of classical Metropolis sampling through Markov chains has been generalized for quantum Hamiltonians. However, the underlying Markov chain of this algorithm is still classical in nature. Due to Szegedy's method, the Markov chains of classical Hamiltonians can achieve a quadratic quantum speedup in the eigenvalue gap of the corresponding transition matrix. A natural question to ask is whether Szegedy's quantum speedup is merely a consequence of employing classical Hamiltonians, where the eigenstates simply coincide with the computational basis, making cloning of the classical information possible. We solve this problem by introducing a quantum version of the method of Markov-chain quantization combined with the quantum simulated annealing (QSA) procedure, and describe explicitly a novel quantum Metropolis algorithm, which exhibits a quadratic quantum speedup in the eigenvalue gap of the corresponding Metropolis Markov chain for any quantum Hamiltonian. This result provides a complete generalization of the classical Metropolis method to the quantum domain.Comment: 7 page
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