The impact of healthy nutrition education based on traffic light labels on food selection, preference, and consumption in patients with acute coronary syndrome: a randomized clinical trial.

Background: Acute Coronary Syndrome is the most common heart disease and the most significant cause of death and disability-adjusted life years worldwide. Teaching a healthy eating style is one preventive measure to prevent the disease's recurrence. This study aimed to determine the effect of healthy nutrition education with the help of traffic light labels on food selection, preference, and consumption in patients with acute coronary syndrome.

Learning agile soccer skills for a bipedal robot with deep reinforcement learning.

We investigated whether deep reinforcement learning (deep RL) is able to synthesize sophisticated and safe movement skills for a low-cost, miniature humanoid robot that can be composed into complex behavioral strategies. We used deep RL to train a humanoid robot to play a simplified one-versus-one soccer game. The resulting agent exhibits robust and dynamic movement skills, such as rapid fall recovery, walking, turning, and kicking, and it transitions between them in a smooth and efficient manner.

Investigation of the effect of the N-oxidation process on the interaction of selected pyridine compounds with biomacromolecules: structural, spectral, theoretical and docking studies.

Two new N-oxide compounds, namely glycinium 2-carboxy-1-(λ-oxidaneyl)-1λ-pyridine-6-carboxylate-glycine-water (1/1/1), CHNO·CHNO·CHNO·HO or [(2,6-HpydcO)(HGLY)(GLY)(HO)], 1, and methyl 6-carboxy-1-(λ-oxidaneyl)-1λ-pyridine-2-carboxylate, CHNO or 2,6-HMepydcO, 2, were prepared and identified by elemental analysis, FT-IR, Raman spectroscopy and single-crystal X-ray diffraction. The X-ray analysis of 1 revealed an ionic compound containing a 2,6-HpydcO anion, a glycinium cation, a neutral glycine molecule and a water molecule. Compound 2 is a neutral compound with two independent units in its crystal structure.

A novel multi-epitopic immune network model hybridized with neural theory and fuzzy concept.

The natural immune system provides an effective defense mechanism against foreign substances via complex interactions among various cells and molecules. Jerne introduced the immune network theory to model the relation between immune cells and molecules. The immune system like the neural system is able to learn from experience.