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Maria Stratigi, Haridimos Kondylakis and Kostas Stefanidis
Providing useful resources to patients is essential in achieving the vision of participatory medicine. However, the problem of identifying pertinent content for a group of patients is even more difficult than identifying information for just one. Neverth...
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Evana Kamarudin,Nur Fadhillah Megat Ismail,Siti Norul Fatin Ismail
Pág. 79 - 85
In light of discovering the new antiplatelet from the natural source, this study was undertaken to determine the inhibitory effect of Rhodomyrtus tomentosa methanolic leaves extracts on P-selectin platelet aggregation of the ABO blood group. Whole blood ...
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Dat-Dao Nguyen
In multi-criteria decision making, any Group Decision Support System (GDSS) requires a social judgment model for calculation of weights on decision alternatives, and tabulation of individual votes toward a consensus. One could assess a Social Welfare Fun...
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Liangang Yin, Zheping Yan and Yunzhi Hou
The unmanned underwater vehicle (UUV) group composed of UUVs carrying different kinds of detection equipment is powerful for underwater target searching and detection. In this paper, a formation transformation method, used while the mission of the UUV gr...
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Adrián Valera, Álvaro Lozano Murciego and María N. Moreno-García
Nowadays, recommender systems are present in multiple application domains, such as e-commerce, digital libraries, music streaming services, etc. In the music domain, these systems are especially useful, since users often like to listen to new songs and d...
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Oana Suciu, Bogdan Deleanu, Horia Haragus, Teodora Hoinoiu, Cristina Tudoran, Adrian Todor, Andrei Ghiorghitoiu, Nevena Velimirovici and Roxana Ramona Onofrei
Background: we aimed to analyze the influence of antithrombotic medication in delaying surgery for fragility hip fractures; Method: a total of 312 consecutive hip fracture cases over 55 years who underwent surgery in our Orthopedic Clinic; Results: of th...
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Florentin Smarandache and Jun Ye
Over a period of seven months (August 2017?February 2018), the Special Issue dedicated to ?Neutrosophic Information Theory and Applications? by the ?Information? journal (ISSN 2078-2489), located in Basel, Switzerland, was a success. The Guest Editors, P...
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Hee-Eun Kim
This study aimed to compare the longitudinal efficacy between chlorhexidine gluconate (CHX; 0.12%) and cold atmospheric plasma (CAP) in reducing oral biofilm pathogenicity, utilizing a quantitative light-induced fluorescence-digital (QLF-D) camera. Oral ...
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Donghwi Jung, Young Hwan Choi and Joong Hoon Kim
Real-time state estimation is defined as the process of calculating the state variable of interest in real time not being directly measured. In a water distribution system (WDS), nodal demands are often considered as the state variable (i.e., unknown var...
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Donghwi Jung, Young Hwan Choi, Joong Hoon Kim
Pág. 1 - 17
Real-time state estimation is defined as the process of calculating the state variable of interest in real time not being directly measured. In a water distribution system (WDS), nodal demands are often considered as the state variable (i.e., unknown var...
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Jin Han Park, Yu Kyoung Park and Mi Jung Son
In this paper, a hesitant probabilistic fuzzy multiple attribute group decision making is studied. First, some Einstein operations on hesitant probability fuzzy elements such as the Einstein sum, Einstein product, and Einstein scalar multiplication are p...
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Matteo Ignaccolo, Giuseppe Inturri, Mónica García-Melón, Nadia Giuffrida, ... Vincenza Torrisi
Pág. 500 - 507
This paper presents a procedure for the structuring of a transport decision-making problem and evaluation of the solutions proposed from a multi-stakeholder multi-criteria perspective. Analytic Hierarchy Process (AHP) is used as multicriteria decision te...
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Andrea Calvagna, Emiliano Tramontana and Gabriella Verga
Social media networks provide an aggregation of news and content, allowing users to share and discuss topics of greatest interest to them. Users can enrich the news by providing context and opinions that are useful to other users. Understanding topics of...
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Jiquan Peng, Juan Chen and Liguo Zhang
The relative poverty statuses of female and male migrant workers are complex: (i) as a group, migrant workers are relatively better off than their rural hometown fellow residents but are deprived compared to the long-term residents of the cities to which...
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Ahmed A. Al-Saedi, Veselka Boeva and Emiliano Casalicchio
Federated Learning (FL) provides a promising solution for preserving privacy in learning shared models on distributed devices without sharing local data on a central server. However, most existing work shows that FL incurs high communication costs. To ad...
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Zheyi Chen, Weixian Liao, Pu Tian, Qianlong Wang and Wei Yu
Distributed machine learning paradigms have benefited from the concurrent advancement of deep learning and the Internet of Things (IoT), among which federated learning is one of the most promising frameworks, where a central server collaborates with loca...
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Jelena J. Stankovic, Ivana Marjanovic, Jason Papathanasiou and Sa?a Drezgic
Maritime transport and ports are among the most important linkages between global economies, handling more than 90% of internationally traded goods. Economic importance of maritime transport imposes significant implications on the social and environmenta...
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Mahdi Rezapour and Khaled Ksaibati
A choice to use a seat belt is largely dependent on the psychology of the vehicles? occupants, and thus those decisions are expected to be characterized by preference heterogeneity. Despite the importance of seat belt use on the safety of the roadways, t...
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Ana Serrano Tellería,Marco Oliveira
Pág. pp. 4 - 14
Data collected from the profiles and the digital identities has become a valuable currency for the mobile ecosystem, especially between users and providers. Services that required them are also described as the ground floor in direct linked with the infr...
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Qianqian Tong, Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan and Jinbo Bi
Regularized sparse learning with the l0
l
0
-norm is important in many areas, including statistical learning and signal processing. Iterative hard thresholding (IHT) methods are the state-of-the-art for nonconvex-constrained sparse learning due to their ...
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