CENP-A Targeting Moves a Step Back

The Next Step Forward Is to Take a Step Back.

Understanding the causes of diabetes is at the heart of most diabetes research. The field of causal inference has made dramatic advances in methodology that allows for causal inference from observational and not experimental data (1). One such methodological advancement is the use of genetic markers as instrumental variables, or so-called Mendelian randomization (MR) (2). MR relies on the laws ...

One step forwards, one step back.

The CENP-A nucleosome

The structure of the centromere-specific histone centromeric protein A (CENP-A) nucleosome has been a hot topic of debate for the past five years. Structures proposed include octamers, hexamers, homotypic and heterotypic tetramers. This controversy has led to the proposal that CENP-A nucleosomes undergo cell-cycle dependent transitions between the multiple states previously documented to exist ...

Adaptive Line Enhancement Using a Parallel IIR Filter with A Step-By-step Algorithm

 A step-by-step algorithm for enhancement of periodic signals that are highly corrupted by additive uncorrelated white gausian noise is proposed. In each adaptation step a new parallel second-order section is added to the previous filters. Every section has only one adjustable parameter, i.e., the center frequency of the self-tuning filter. The bandwidth and the convergence factor of each secti...

TARGETING CUSTOMERS: A FUZZY CLASSIFICATION APPROACH

Nowadays, marketing serves the purpose of maximizing customer lifetime value (CLV) and customer equity, which is the sum of the lifetime values of the company’s customers. But, CLV calculation encounters some difficulties which limit the usage of this technique. Nonetheless, companies looking for methods to know how to calculate their customers’ CLV. In this paper, fuzzy classification rules we...