Spin transfer torque oscillator based on asymmetric magnetic tunnel junctions

We present a study of the spin transfer torque oscillator based on CoFeB/MgO/CoFeB asymmetric magnetic tunnel junctions. We observe microwave precession in junctions with different thickness of the free magnetization layer. Taking advantage of the ferromagnetic interlayer exchange coupling between the free and reference layer in the MTJ and perpendicular interface anisotropy in thin CoFeB electrode we demonstrate the nanometer scale device that can generate high frequency signal without external magnetic field applied. The amplitude of the oscillation exceeds 10 nV/Hz^0.5 at 1.5 GHz.Comment: 4 pages, 4 figures, to be submitted to Applied Physics Letter

Magnetic field sensor with voltage-tunable sensing properties

We report on a magnetic field sensor based on CoFeB/MgO/CoFeB magnetic tunnel junctions. By taking advantage of the perpendicular magnetic anisotropy of the CoFeB/MgO interface, the magnetization of the sensing layer is tilted out-of-plane which results in a linear response to in-plane magnetic fields. The application of a bias voltage across the MgO tunnel barrier of the field sensor affects the magnetic anisotropy and thereby its sensing properties. An increase of the maximum sensitivity and simultaneous decrease of the magnetic field operating range by a factor of two is measured. Based on these results, we propose a voltage-tunable sensor design that allows for active control of the sensitivity and the operating filed range with the strength and polarity of the applied bias voltage.Comment: 4 pages, 4 figures, lette

The quality of sexual life and personality of men addicted to gambling

INTRODUCTION: In Poland, every second Pole declares that he participated in this type of activity at least once. Addiction affects many other forms of human activity including sexuality. The aim of this research is to determine a connection of the quality of sexual life, undertaken sexual activity and personality traits with gambling addiction. MATERIAL AND METHODS: there were 95 adult male gamblers included in the research. The research group comprised 50 men addicted to gambling, the control group consisted of 45 non-dependent men. The research was conducted by means of: the NEO-Five Factor Inventory, the Sexual Quality of Life-Male questionnaire and the Changes in Sexual Functioning Questionnaire-Male. RESULTS: a negative, statistically significant connection between the intensification of gambling addiction and undertaken sexual activity (p = 0.026) and a general tendency of the decrease in sexual life along with the increase in addiction (p = 0.017) were determined. Also, a significant statistically positive connection between the intensification of a neuroticism feature and a tendency to gambling addiction (p = 0.003) was demonstrated. Additionally, the research results show that the increase in obtained results at the level of gambling addition corresponded to lower obtained results at the level of conscientiousness (p = 0.001) and agreeableness (p = 0.002). CONCLUSIONS: men addicted to gambling are characterised by a low level of the intensification of agreeableness and conscientiousness features in comparison to non-dependent people. There is a statistically significant connection between elevated neuroticism and a tendency to gambling addiction. The quality of sexual life in people addicted to gambling decreases along with the increase in the intensification of addiction

Neural Architecture for Online Ensemble Continual Learning

Continual learning with an increasing number of classes is a challenging task. The difficulty rises when each example is presented exactly once, which requires the model to learn online. Recent methods with classic parameter optimization procedures have been shown to struggle in such setups or have limitations like non-differentiable components or memory buffers. For this reason, we present the fully differentiable ensemble method that allows us to efficiently train an ensemble of neural networks in the end-to-end regime. The proposed technique achieves SOTA results without a memory buffer and clearly outperforms the reference methods. The conducted experiments have also shown a significant increase in the performance for small ensembles, which demonstrates the capability of obtaining relatively high classification accuracy with a reduced number of classifiers