Features of the choice of potato (Solanum tuberosum) varieties when growing two harvests in the temperate zone of Russia.

The development of potato plants during the cultivation of two crops occurs in a short period. At the same time, field conditions change and do not repeat over time. The formation of the crop during the cultivation of two crops in the Moscow region turns out to be in different growing conditions: the first crop falls on a long day and moderate temperatures, as well as sometimes returning frosts, the second crop falls on a short day and high temperatures, as well as a lack of moisture.

A multi-step approach to time series analysis and gene expression clustering.

Motivation: The huge growth in gene expression data calls for the implementation of automatic tools for data processing and interpretation.

Results: We present a new and comprehensive machine learning data mining framework consisting in a non-linear PCA neural network for feature extraction, and probabilistic principal surfaces combined with an agglomerative approach based on Negentropy aimed at clustering gene microarray data. The method, which provides a user-friendly visualization interface, can work on noisy data with missing points and represents an automatic procedure to get, with no a priori assumptions, the number of clusters present in the data.

Postural instability enhances motor responses to transcranial magnetic stimulation in humans.

Does the state of postural instability require a high hierarchical level of posture control? Electromyographic (EMG) activity of leg muscles was recorded during transcranial magnetic stimulation (TMS) of the motor cortex and electrical stimulation of the tibial nerve (H-reflex) in healthy subjects standing on a rigid floor and on a rocking platform. In the soleus muscle, TMS-evoked EMG responses increased considerably (2.2+/-1.