Influence of intravenous lidocaine infusion on haemodynamic response to tracheal intubation and metabolic-hormonal responses during laparoscopic procedures in children: a randomised controlled trial.

Background: Lidocaine, a widely used local anaesthetic, also serves as an adjuvant in pain management. However, its use in children is off-label. This study aimed to determine if intravenous lidocaine alleviates the haemodynamic, metabolic, and hormonal responses to intubation and laparoscopic surgery in children.

The evolving value assessment of cancer therapies: Results from a modified Delphi study.

The move toward early detection and treatment of cancer presents challenges for value assessment using traditional endpoints. Current cancer management rarely considers the full economic and societal benefits of therapies. Our study used a modified Delphi process to develop principles for defining and assessing value of cancer therapies that aligns with the current trajectory of oncology research and reflects broader notions of value.

The effect of EEG neurofeedback on lowering the stress reaction level depending on various stressors on the biochemical, muscular and psychomotor sphere: A preliminary randomized study.

Background: The human body is exposed to stressors on a daily basis. Short-term exposure to a particular stressor can cause the release of inflammatory markers - including c-reactive protein (CRP). EEG neurofeedback is a noninvasive form of therapy that aims to improve brain function.

Effects of Probiotics and Vitamin D Supplementation on Sports Performance Markers in Male Mixed Martial Arts Athletes: A Randomized Trial.

Background: Strategies targeted at the intestine microbiome seem to be beneficial for professional athletes. The gut-muscle axis is associated with the inflammatory state, glucose metabolism, mitochondrial function, and central nervous system health. All these mechanisms may affect maximal oxygen uptake, muscle strength, and training adaptation.

Combined Pseudo-Random Sequence Generator for Cybersecurity.

Random and pseudo-random number and bit sequence generators with a uniform distribution law are the most widespread and in demand in the market of pseudo-random generators. Depending on the specific field of application, the requirements for their implementation and the quality of the generator's output sequence change. In this article, we have optimized the structures of the classical additive Fibonacci generator and the modified additive Fibonacci generator when they work together.