Molecular and ionic diffusion in ion exchange membranes and biological systems (Cells and proteins) studied by NMR

The results of NMR, and especially pulsed field gradient NMR (PFG NMR) investigations, are summarized. Pulsed field gradient NMR technique makes it possible to investigate directly the partial self-diffusion processes in spatial scales from tenth micron to millimeters. Modern NMR spectrometer diffusive units enable to measure self-diffusion coefficients from 10−13 m2 /s to 10−8 m2 /s in different materials on1 H,2 H,7 Li,13 C,19 F,23 Na,31 P,133 Cs nuclei. PFG NMR became the method of choice for reveals of transport mechanism in polymeric electrolytes for lithium batteries and fuel cells. Second wide field of application this technique is the exchange processes and lateral diffusion in biological cells as well as molecular association of proteins. In this case a permeability, cell size, and associate lifetime could be estimated. The authors have presented the review of their research carried out in Karpov Institute of Physical Chemistry, Moscow, Russia; Institute of Problems of Chemical Physics RAS, Chernogolovka, Russia; Kazan Federal University, Kazan, Russia; Korea University, Seoul, South Korea; Yokohama National University, Yokohama, Japan. The results of water molecule and Li+, Na+, Cs+ cation self-diffusion in Nafion membranes and membranes based on sulfonated polystyrene, water (and water soluble) fullerene derivative permeability in RBC, casein molecule association have being discussed

Evolutionary algorithm for automated formation of decision-making models for predicting the safety of opioid therapy

In this paper, an evolutionary algorithm for solving the problem of predicting the safety of opioid therapy for patients with pancreatic cancer is proposed. Opioid analgesics such as fentanyl and morphine are used as a therapy for pain syndromes. Using the patient database, based on the results of the therapy applied to them, it is determined whether there is a correlation between the outcome and the combination of input data taken into account. To find a set of informative features, it is proposed to use the genetic algorithm for multi-criterion optimization, in which two criteria are reduced to one generalized criterion using the method of "additive convolution". The formed combination of the selected input features, which affects the outcome, is used to build a decision support model and to evaluate it afterwards. © Published under licence by IOP Publishing Ltd

Predicting of fentanyl-associated neurotoxicity in pancreatic cancer with clical, genetic model [Прогнозирование фентанил-ассоциированной нейротоксичности у больных с раком поджелудочной железы с помощью клинико-генетической модели]

Aim. To develop a model for the implementation of opioid - associated neurotoxicity in patients with pancreatic cancer based on an analysis of the relationship of clinical and genetic factors. Materials and methods. In 45 patients with pancreatic cancer, 54 clinical and genetic factors were studied for predicting the implementation of opioid-associated neurotoxicity, receiving a transdermal form of fentanyl. Results. A clinical genetic model of the implementation of opioid - associated neurotoxicity in patients with pancreatic cancer was developed using the example of a transdermal form of fentanyl Conclusion. The clinical genetic model for predicting the risk of opioid-associated neurotoxicity in patients with pancreatic cancer is important from the perspective of personalized medicine. © 2021 Global Media Tekhnologii. All rights reserved

Overview of SND hadronic cross section measurements

At the end of 2016 the SND detector resumed data taking at the upgraded VEPP-2000 e+e− collider. The analysis of data accumulated in 2010-2013 with an integrated lumonosity of 70 pb−1 is continuing. Recent results on measurements of various hadronic cross sections are presented