作者：
A BothA GashkovM EltsovaProfessor
Department for Computer Science and Languages Anhalt University of Applied Sciences Lohmannstraße 23 06366 Köthen Germany Head of Research
DATEV eG Nuremberg Germany Master Student
Anhalt University of Applied Sciences Lohmannstraße 23 06366 Köthen Germany Assistant professor
Department for Foreign Languages and Public Relations Perm National Research Polytechnic University 13 Professora Pozdeeva st. 614013 Perm Russia
Question Answering refers to the task of providing a matching answer for a given user's natural-language question. We assume here that the received response from a Question Answering system is also given as a natu...
Question Answering refers to the task of providing a matching answer for a given user's natural-language question. We assume here that the received response from a Question Answering system is also given as a natural-language output. From this scenario the task is raised to validate if the received natural-language answer is valid w.r.t. the given question. In this paper, we will present our approach to compute the similarity of a question to the corresponding natural-language answer while using the features of the surface form of the question and the answer. Our metrics is the distinction between a matching answer and inappropriate answers to a given question. Hence, our research agenda is dedicated to improving the answer quality of Question Answering systems by using the natural-language representation of its input and output.
Mutations in cytochrome c (Cyt c) have been reported in tuning peroxidase activity, which in-turn cause Cyt c release from mitochondria and early apoptosis. However, the molecular tuning mechanism underlying this acti...
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In recent years, the COVID-19 pandemic has become one of the most crucial scientific issues in the world, and efforts to eradicate the disease are still ongoing. The acute inflammatory reaction associated with this di...
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In recent years, the COVID-19 pandemic has become one of the most crucial scientific issues in the world, and efforts to eradicate the disease are still ongoing. The acute inflammatory reaction associated with this disease is associated with several complications such as cytokine storm, multiple organ damage, lung fibrosis, and blood clots. PTX3, as part of the humoral innate immune systems, is one of the acute-phase proteins that perform various functions, such as modulating inflammation, repairing tissue, and recruiting immune cells. PTX3 is increased in people with SARS-CoV-2, and its level decreases with proper treatment. Therefore, it can be regarded as a suitable marker for the prognosis of the COVID-19 and evaluating the effectiveness of the treatment method applied. However, some studies have shown that PTX3 can be a double-edged sword and develop tumors by providing an immunosuppressive environment.
作者：
Kruglov, Vladislav E.Malyshev, Dmitry S.Pochinka, Olga V.HSE Campus in Nizhny Novgorod
Faculty of Informatics Mathematics and Computer Science Laboratory of Topological Methods in Dynamics. Trainee Researcher Lobachevsky State University of Nizhny Novgorod Institute ITMM Department of Mathematical Physics Optimal Control Master’s HSE Campus in Nizhny Novgorod
Laboratory of Algorithms and Technologies for Networks Analysis. Leading Research Fellow HSE Campus in Nizhny Novgorod Faculty of Informatics Mathematics and Computer Science Department of Applied Mathematics and Informatics Lobachevsky State University of Nizhny Novgorod Institute ITMM Department of Algebra Geometry and Discrete Mathematics HSE Campus in Nizhny Novgorod
Faculty of Informatics Mathematics and Computer Science Department of Fundamental Mathematics Department Head. HSE Campus in Nizhny Novgorod Faculty of Informatics Mathematics and Computer Science Laboratory for Topological Methods in Dynamics. Laboratory
Structurally stable (rough) flows on surfaces have only finitely many singularities and finitely many closed orbits, all of which are hyperbolic, and they have no trajectories joining saddle points. The violation of t...
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作者：
Janakiraman MoorthyRangin LahiriNeelanjan BiswasDipyaman SanyalJayanthi RanjanKrishnadas NanathPulak Ghosh(Coordinator) Director and Professor of Marketing at the Institute of Management Technology
Dubai. Earlier he was Professor of Marketing at the IIM Calcutta and IIM Lucknow. He received his PhD from IIM Ahmedabad. His recent research papers were published in the leading scholarly ournals such as Marketing Science British Food Journal Journal of Information Technology Case and Application Research Journal of Database Marketing & Customer Strategy Management. He has wide experience in the banking and investment industry. He was earlier the Global Research and Project Director of the Institute for Customer Relationship Management Atlanta USA. He was the Convener of the prestigious CAT Exam 2011. e-mail: Practice Director
leading Atos India's CRM practice while supporting Strategic Business Development for North American Market. With an experience of more than 15 years Rangin has worked extensively as a Business Consultant in Information Technology (Sales Automation Marketing & Service Management area) Customer Data Management and CRM Analytics. e-mail: Business Consultant at Atos with extensive experience in Business Analysis
Risk Management Analytics Business Development Presales Solution Ideation on Enterprise Data Management Enterprise Reference Data and Master Data Management area. e-mail: founder and CEO of dono consulting
a boutique quantitative analytics and investment research firm. He has worked for leading financial firms in New York and India including Dow Jones Blackstone Sorin Capital (VP Quantitative Modeling) and Thomson Reuters (Head of Real Estate Analytics). A CFA charter holder and Commonwealth Scholar Deep has an MS (Applied Economics) from University of Texas Dallas and an MA (Economics) from Jadavpur University e-mail: Professor in the Information Systems Group of the Institute of Management Technology
Ghaziabad. Her PhD is in the field of data mining from Jamia Millia Islamia Central University India. She has published five edited books. She is serving on the editorial b
The nodes of a WSNs (wireless sensors network) are composed of small devices capable of sensing and transmitting data related to some phenomenon in the environment. These devices, named sensor nodes, have severe const...
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The nodes of a WSNs (wireless sensors network) are composed of small devices capable of sensing and transmitting data related to some phenomenon in the environment. These devices, named sensor nodes, have severe constraints, such as lower processing and storage capacity, and mainly they have severe constraints related to battery energy. Therefore, the developing of strategies to reduce the power consumption is one of the main challenges in WSNs, and thereby helping to increase the survivability and efficiency of these networks. This paper proposes a new approach to help multi-path routing protocols to choose the best route based on Fuzzy Inference Systems and ACO (ant colony optimization). The Fuzzy System is used to estimate the degree of the route quality, based on the number of hops and the lowest energy level among the nodes that form the route. The ACO algorithm is used to adjust the rule base of the fuzzy system in order to improve the classification strategy of the route, and hence increasing the energy efficiency and the survivability of the network. The simulations showed that the proposal is effective from the point of view of the energy, the number of received messages, and the cost of received messages when compared against other approaches.
This paper presents a research study consisting of a comparison analysis of replication and retrieval of medical image data which use the Digital Imaging and Communications in Medicine (DICOM) standard. These data are...
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This paper presents a research study consisting of a comparison analysis of replication and retrieval of medical image data which use the Digital Imaging and Communications in Medicine (DICOM) standard. These data are stored in a relational database management system (RDBMS) and in the Hierarchical Data Format (HDF) using a distributed file system as a data backend. The importance of this work was measured by verification of elapsed-time reduction for medical image data replication and retrieval in a real telemedicine environment.
Design of digital circuits and systems are topics covered in undergraduate courses on computerscience, computer Engineering, and Electrical Engineering. Simple processor architectures are used as example of digital s...
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Design of digital circuits and systems are topics covered in undergraduate courses on computerscience, computer Engineering, and Electrical Engineering. Simple processor architectures are used as example of digital s...
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Design of digital circuits and systems are topics covered in undergraduate courses on computerscience, computer Engineering, and Electrical Engineering. Simple processor architectures are used as example of digital systems to apply and integrate the concepts studied in these courses. In this paper, we discuss the use of a simple processor named BIP (Basic Instruction-set Processor) in courses on digital circuits and systems design. BIP is distinguished from similar processors because it was developed by applying a multidisciplinary approach in order to allow its use in introductory courses on computer programming and in several other courses in the computerscience area.
In novel learning environments, learning systems not only are able to get environmental information through sensing technology to provide adaptive learning resources and information to students, but also help students...
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