The paper proposes a procedure to analyse local patterns of connectivity among people in social networks using the idea of ego-centric network. The ego-centric networks of every nodes are transformed into normalized representation and classified into patterns. The procedure can be applied to large dataset by giving it in SQL code. We applied the procedure to friendship networks and demonstrated...

Normalization of acid-base homeostasis in CKD holds promise for mitigating disease progression, but whether efforts should focus on patients with low serum bicarbonate or high dietary acid load is not known. In this issue Vallet et al contribute to this debate with a report that low urinary ammonia excretion independently associates with increased progression in moderate CKD. Whether this findi...

This paper describes the ideas and methodologies that we used in the Yahoo learning-torank challenge. Our technique is essentially pointwise with a listwise touch at the last combination step. The main ingredients of our approach are 1) preprocessing (querywise normalization) 2) multi-class AdaBoost.MH 3) regression calibration, and 4) an exponentially weighted forecaster for model combination....

In Machine Learning (ML), a well-known problem is the Dataset Shift where data in training and test sets can follow different probability distributions, leading ML systems toward poor generalization performances. This intensely felt Brain-Computer Interfaces (BCIs), bio-signals as Electroencephalographic (EEG) are often used. Indeed, EEG signals highly non-stationary both over time between subj...

Scaling up web applications requires distribution of load across multiple application servers and across multiple database servers. Distributing load across multiple application servers is fairly straightforward; however distributing load (select and UDI queries) across multiple database servers is more complex because of the synchronization requirements for multiple copies of the data. Differe...