Mcnultyruiz6394

A new wave of autocratic nationalisms has at least ten nations in its grip, and growing. Does this new impulse of authoritarianism have roots in a deep evolutionary past? The answer goes back to two algorithms roughly 3.85 billion years old. These two algorithms explain the social dynamics of life-forms as diverse as bacteria, clams, bees, whales, chimpanzees and human beings. We argue that the fission-fusion search strategy of social groups, which goes hand in hand with the r/K dynamics of ecological relationships, work together to shift mass moods and to drive social cycles. Their interactive combination provides a stunning view of social dynamics and of contemporary political processes -indeed the combination produces a 'biopolitical' picture of our societies.This paper is devoted to justification of the application of quantum probability theory to problems of cognition, psychology, and decision making. Such applications are heavily based on quantum-like representation of interference of events that is formalized with complex probability amplitudes ("mental wave functions") and the Born rule for calculation of probability. In this paper, we present universal mathematical formalization of interference of events based on the calculus of intensities of interacting processes. Generally, this formalization leads to the nonlinear law of superposition of complex probability amplitudes with quantum linear superposition as a special important case. For intensities characterized by discrete occurrence of events, the formula for interference of intensities is transferred into the quantum-like formula for interference of probabilities. We illustrate the formalism by simple examples of possible applications of the calculus of intensities of processes to decision making and economics. We show that in special cases the classical (Kolmogorov) probabilistic model can give the same results as the quantum rule of summation of probabilities.The present study examines chemotherapy by incorporating multi-scale mathematical modeling to predict drug delivery and its effects. This approach leads to a more-realistic physiological tumor model than is possible with previous approaches, as it obtains the capillary network geometry from an image, and also considers the tumor's necrotic core, drug binding, and cellular uptake. Modeling of the fluid flow and drug transport is then performed in the extracellular matrix. The results demonstrate a 10% drop in the fraction of killed cancer cells 69% rather than the 79% reported earlier for a tumor of similar geometry a more-accurate value. This study examines how tumor-related parameters including the necrotic core size and tumor size, and also drug-related parameters drug dosage, binding affinity of drug, and drug degradation can affect the delivery of the drug to solid tumors. Results indicate that concentration of drug are high in the tumor, low in normal tissue, and remarkably low in the necrotic core. Results also offer a treatment of tumors with smaller necrotic core. Tumor size, which implies the tumor progression, has a considerable impact on treatment outcomes, so to be more effective, treatment should be applied at a specific size of tumor. It is demonstrated that binding affinity of drugs to cell-surface receptors and drug dosage have significant impact on treatment efficacy, so they should be regulated based on a balanced quantification between maximum treatment efficacy and minimum side effects. On the other hand, considering the effects of drug degradation in the model has not significant effect on treatment efficacy. The findings of the present study provide insight into the mechanism of drug delivery to solid tumors based on analyzing the effective parameters and modeling how their behavior in the tumor microenvironment affects treatment efficacy.This paper investigates the effect of aero-acoustic parameters on the efficiency of acoustically-driven drug delivery (ADD) to human maxillary sinus (MS). To be more specific, the effect of the frequency, amplitude at the acoustic excitation, and the inlet mean flow rate on the efficiency of ADD to the MS is studied. Direct computational aero-acoustics, using a validated computational fluid dynamics (CFD) model, has been utilised to carry out the parametric study. The transport pattern of the particles (drugs) in the presence of an external acoustic field has been investigated through the discrete phase model. Extensive computational simulations have revealed that the most important parameter in acoustically-driven drug delivery to the MS is the amplitude of the oscillation of the air plug in the ostium, which is largest when the combination of nasal cavity and MS is at resonance. Also, it has been found that the amplitude of the inlet acoustic wave has a direct correlation with the efficiency of the drug delivery to the MS. Moreover, the inlet mean airflow rate adversely affects the efficiency of the drug delivery to the MS. The results of this study suggest that applying an external acoustic field after distributing the drug particles with no mean flow results in a better drug delivery than in the presence of an inlet mean flow.The development of cognitive impairment may be related to high levels of plasma cholesterol and obesity. Simvastatin (SV) and lovastatin (LV) are drugs that can potentially be used for the treatment of cognitive deficit. This study aimed to develop and characterize lipid-core nanocapsules (LNC) containing SV (SV-LNC) or LV (LV-LNC), evaluating the effects of SV-LNC in an animal model of cognitive deficit. selleckchem The formulations SV-LNC and LV-LNC presented a particle average size around 200 nm, a low-polydispersity index, and negative zeta potential. Analysis of differential scanning calorimetry, Fourier transform infrared spectroscopy, X-ray diffraction, and scanning electron microscopy showed that there is no reaction among LNC components LV was crystallized in the suspensions, and SV was molecularly dispersed. The encapsulation efficiency of the SV was high (98.9 ± 1.4%), while that of the LV was low (21.5 ± 1.5%).Based on these results, SV-LNC was used in the preclinical studies. Animals fed with a hyperlipidic diet (HD) developed obesity, hypercholesterolemia, and cognitive impairment, which was corroborated by the brain lesions indicated by histological analysis of some of the animals that received the high-fat diet.