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Objective
There is little evidence on the genetic associations between life‐course adiposity (including birth weight, childhood BMI, and adulthood BMI) and severe liver disease (SLD; including cirrhosis and liver cancer). The current study aimed to examine and contrast these associations.
Methods
Genetic variants were obtained from genome‐wide association studies. Two‐sample Mendelian randomization...
Big data has been arising a growing interest in both scientific and industrial fields for its potential value. However, before employing big data technology into massive applications, a basic but also principle topic should be investigated: security and privacy. In this paper, the recent research and development on security and privacy in big data is surveyed. First, the effects of characteristics...
The mobile advertising industry in China has developed rapidly in recent years. Many companies and brands tend to employ mobile advertising in order to reach the target customers accurately. However, the conversion rates associated with the advertising campaigns are usually quite low due to the low quality of the datasets and impropriate predictive model. In this paper, we propose a novel mobile advertising...
Advertising delivery is the key in the real estate industry. This paper proposes a big data assisted customer analysis and advertising (BDCAA) architecture. Its aim is to precisely seek potential users and improve the efficiency of advertisement delivery. The proposed BDCAA architecture consists of three stages, including user 360-degree portrait and users segmentation, potential customer mining,...
With the rapid development of the telecom market, telecom customer gradually shows the characteristics of differentiation and diversification. Telecom customer clustering is an effective method for marketing and retention. In this paper, we propose a cluster algorithm based on k-means and Multivariable Quantum Shuffled Frog Leaping Algorithm (MQSFLA), called MQSFLA-k, which can be used as a customer...
Telecom big data implies abundant user information. In this paper, it employs the telecom data and proposes a user clustering and influence power ranking scheme. The scheme is implemented through three stages, i.e. the user portrait analysis stage, the user clustering analysis stage and the ranking stage of user influence power. Experimental results have shown that, marketing promotion effectiveness...
Mobility load balancing (MLB) is widely used to address the uneven load distribution problem. The basic idea is that a hot-spot cell selects less-loaded neighbouring cells as assistant cells, and thenshiftsitsedge users to assistant cells via the handover region adjustment. However, shifted users receive the reduced signal power after MLB, which may result in the poor link quality problem for shifted...
With the introduction of technologies such as OFDM, MIMO and higher order modulation,it's more complex in capacity analysis in LTE network. This paper focuses on cell capacity in FDD-LTE network. Firstly, a foundation of the theoretical upper bound on capacity will be established followed by the constraints of overhead channels. Lastly, the factors that influence cell capacity are discussed and the...
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