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Meriem Yazidi,Elyes Kammoun,Ibtissem Oueslati,Melika Chihaoui 대한가정의학회 2024 Korean Journal of Family Medicine Vol.45 No.4
Metformin is the most widely used antihyperglycemic drug in patients with type 2 diabetes (T2D). Over the past 2 decades, several studies have highlighted a substantial increase in the risk of vitamin B12 deficiency in patients with T2D on metformin therapy. This can lead to several complications and induce or exacerbate peripheral neuropathy. Despite these data, there are no definite guidelines for screening, diagnosing, and treating vitamin B12 deficiency in patients with T2D on metformin therapy. Therefore, in this narrative review, we aimed to suggest a practical diagnostic and therapeutic strategy to address vitamin B12 deficiency in patients with T2D receiving metformin treatment. Clinical evidence supporting an increased risk of vitamin B12 deficiency in patients with T2D on metformin therapy and its risk factors and potential complications are also discussed.
An Adaptive Approach to Learning the Preferences of Users in a Social Network Using Weak Estimators
Oommen, B. John,Yazidi, Anis,Granmo, Ole-Christoffer Korea Information Processing Society 2012 Journal of information processing systems Vol.8 No.2
Since a social network by definition is so diverse, the problem of estimating the preferences of its users is becoming increasingly essential for personalized applications, which range from service recommender systems to the targeted advertising of services. However, unlike traditional estimation problems where the underlying target distribution is stationary; estimating a user's interests typically involves non-stationary distributions. The consequent time varying nature of the distribution to be tracked imposes stringent constraints on the "unlearning" capabilities of the estimator used. Therefore, resorting to strong estimators that converge with a probability of 1 is inefficient since they rely on the assumption that the distribution of the user's preferences is stationary. In this vein, we propose to use a family of stochastic-learning based Weak estimators for learning and tracking a user's time varying interests. Experimental results demonstrate that our proposed paradigm outperforms some of the traditional legacy approaches that represent the state-of-the-art technology.
An Adaptive Approach to Learning the Preferences of Users in a Social Network Using Weak Estimators
( B John Oommen ),( Anis Yazidi ),( Ole Christoffer Granmo ) 한국정보처리학회 2012 Journal of information processing systems Vol.8 No.2
Since a social network by definition is so diverse, the problem of estimating the preferences of its users is becoming increasingly essential for personalized applications, which range from service recommender systems to the targeted advertising of services. However, unlike traditional estimation problems where the underlying target distribution is stationary; estimating a user`s interests typically involves non-stationary distributions. The onsequent time varying nature of the distribution to be tracked imposes stringent constraints on the unlearning capabilities of the estimator used. Therefore, resorting to strong estimators that converge with a probability of 1 is inefficient since they rely on the assumption that the distribution of the user`s preferences is stationary. In this vein, we propose to use a family of stochastic-learning based Weak estimators for learning and tracking a user`s time varying interests. Experimental results demonstrate that our proposed paradigm outperforms some of the traditional legacy approaches that represent the state-of-the-art technology.
A non-linear problem involving a critical Sobolev exponent
Bae, S.,Hadiji, R.,Vigneron, F.,Yazidi, H. Academic Press 2012 Journal of mathematical analysis and applications Vol.396 No.1
We study a non-linear minimization problem on H<SUB>0</SUB><SUP>1</SUP>(Ω)@?L<SUP>q</SUP> with q=2nn-2: inf@?u@?<SUB>L^q</SUB>=1∫<SUB>Ω</SUB>(1+|x|<SUP>β</SUP>|u|<SUP>k</SUP>)|@?u|<SUP>2</SUP>. We show that minimizers exist only for the range β<kn/q which corresponds to a dominant non-linear term. However, for β≥kn/q the influence of linearity prevents their existence.