The intellectual information system of medical aid control in the scope of Russian medical insurance

The article presents the developed intellectual information system, oriented for healthcare providers. The system solves a problem of medical aid quality control in the Russian medical insurance sphere. The main components are ISO13606, fuzzy logic and a case-based reasoning concept. The system provides medical insurance payments forecasting by the analysis of medical records and generates two evaluations based on medical standards and a set of precedents. The result of the system implementation allowed up to a 10% increase in insurance payments for the healthcare provider

Experimental study of stress-strain state of adhesive joints steel/carbon fiber under tension with a bend by digital image correlation

This paper presents a study of characteristics of an evolution of deformation fields in surface layers of medium-carbon low-alloy specimens under compression. The experiments were performed on the "Universal Testing Machine 4500" using a digital stereoscopic image processing system Vic-3D. A transition between stages is reflected as deformation redistribution on the near-surface layers

ОБРАБОТКА И ПЕРЕДАЧА ДАННЫХ МЕДИЦИНСКОЙ СТАТИСТИКИ НА ОСНОВЕ МЕЖДУНАРОДНОГО СТАНДАРТА ISO 13606

A possibility to unite different healthcare providers in one network was investigated and proved. We developed solution based on ISO 13606 archetype model and service oriented architecture to enable an exchange of semantically meaningful medical data within a network of healthcare providers. Application of a data model of the ISO 13606 standard for data modeling and XML data transformation allowed organizing data exchange in the regional healthcare network.Исследована возможность применения стандарта хранения и передачи медицинских данных для сбора медицинской статистики. На базе стандарта ISO 13606 и сервис-ориентированной архитектуры была реализована система сбора и анализа медицинских данных для обеспечения оперативного сбора и анализа медицинской статистики органами управления здравоохранением региона. Показана эффективность данного решения для оптимизации работы системы здравоохранения в масштабе региона России

Brain tumour genetic network signatures of survival

Tumour heterogeneity is increasingly recognized as a major obstacle to therapeutic success across neuro-oncology. Gliomas are characterised by distinct combinations of genetic and epigenetic alterations, resulting in complex interactions across multiple molecular pathways. Predicting disease evolution and prescribing individually optimal treatment requires statistical models complex enough to capture the intricate (epi)genetic structure underpinning oncogenesis. Here, we formalize this task as the inference of distinct patterns of connectivity within hierarchical latent representations of genetic networks. Evaluating multi-institutional clinical, genetic, and outcome data from 4023 glioma patients over 14 years, across 12 countries, we employ Bayesian generative stochastic block modelling to reveal a hierarchical network structure of tumour genetics spanning molecularly confirmed glioblastoma, IDH- wildtype; oligodendroglioma, IDH-mutant and 1p/19q codeleted; and astrocytoma, IDH- mutant. Our findings illuminate the complex dependence between features across the genetic landscape of brain tumours, and show that generative network models reveal distinct signatures of survival with better prognostic fidelity than current gold standard diagnostic categories.Comment: Main article: 52 pages, 1 table, 7 figures. Supplementary material: 13 pages, 11 supplementary figure

АНАЛИЗ ПРОЦЕССА КОНТРОЛЯ МЕДИЦИНСКОЙ ПОМОЩИ В РАМКАХ ПРОГРАММЫ ОБЯЗАТЕЛЬНОГО МЕДИЦИНСКОГО СТРАХОВАНИЯ

The relevance of the presented paper deals with the necessity of determining problems and effective solutions for medical organizations on the stage of medical documentation reports control purposely for forecasting the average of financial resources that can be obtained in the scope of compulsory health insurance program.The aim of the study – for the purpose of further issues definition present formal model of the analyzed process using a set of system analysis methods.Material and methods. System analysis methods, especially IDEF0 diagrams and activity diagrams, for estimation of medical expert’s agreement Cohen’s kappa was used.The results. Based on the specification documents and expert’s experience the spread description on the process the control of volume, duration, quality and conditions of medical service assignment by medical organizations conducted by medical insurance organization was presented. Inputs, outputs, elements of management and executives were determined. As a result of decomposition, subprocesess were presented within activity diagrams.Conclusions. The obtained results of research allows to conclude that there is a set of problems which appear when medical organizations send reports for getting financial resources for clinical service realization in the scope of compulsory health insurance program. On the grounds of determined problems, we can conclude that it is necessary to develop an intellectual information system for estimating clinical records concerning getting financial resources for clinical service. In respect that human factor influence on the main stages of the analyzed process, we propose to use fuzzy logic as an inference engine. The self-learning function of the system will provide case-based reasoning.Актуальность работы обусловлена необходимостью выявления проблем и выработки эффективных решений для медицинских организаций на этапе контроля отчетной медицинской документации с целью прогнозирования получения денежных средств по программе обязательного медицинского страхования.Цель работы – используя средства аппарата системного анализа, представить формальную модель исследуемого процесса для дальнейшего выявления проблем.Материал и методы. Применяются методы системного анализа, в частности диаграммы IDEF0, а также диаграммы деятельности (activitydiagram), для оценки согласованности медицинских экспертов используется каппа Коэна.Результаты. На основе нормативных документов, а также опыта экспертов представлено развернутое описание процесса контроля объемов, сроков, качества и условий предоставления медицинской помощи медицинскими организациями, проводимого страховой медицинской организацией. Определены входные и выходные параметры, а также элементы управления и исполнения процесса. Полученные в результате декомпозиции подпроцессы представлены с применением диаграмм последовательности.Выводы. Полученные результаты исследования позволяют сделать вывод о наличии ряда проблем, с которыми сталкиваются медицинские организации при подаче на проверку медицинской отчетности для последующего получения денежных средств за оказанные медицинские услуги по программе обязательного медицинского страхования. На основании выявленных проблем можно сделать вывод о необходимости разработки интеллектуальной информационной системы, способной проводить оценку историй болезни на предмет получения денежных средств за оказанные медицинские услуги. Принимая во внимание наличие человеческого фактора на наиболее важных итерациях иследуемого процесса, предлагается в качестве метода логического вывода будущей системы использовать нечеткую логику, а функцию самообучаемости системы обеспечит реализованный в перспективе анализ прецеденто

Learning and reaction times in mouse touchscreen tests are differentially impacted by mutations in genes encoding postsynaptic interacting proteins SYNGAP1 , NLGN3 , DLGAP1 , DLGAP2 and SHANK2

The postsynaptic terminal of vertebrate excitatory synapses contains a highly conserved multiprotein complex that comprises neurotransmitter receptors, cell-adhesion molecules, scaffold proteins and enzymes, which are essential for brain signalling and plasticity underlying behaviour. Increasingly, mutations in genes that encode postsynaptic proteins belonging to the PSD-95 protein complex, continue to be identified in neurodevelopmental disorders (NDDs) such as autism spectrum disorder, intellectual disability and epilepsy. These disorders are highly heterogeneous, sharing genetic aetiology and comorbid cognitive and behavioural symptoms. Here, by using genetically engineered mice and innovative touchscreen-based cognitive testing, we sought to investigate whether loss-of-function mutations in genes encoding key interactors of the PSD-95 protein complex display shared phenotypes in associative learning, updating of learned associations and reaction times. Our genetic dissection of mice with loss-of-function mutations in Syngap1, Nlgn3, Dlgap1, Dlgap2 and Shank2 showed that distinct components of the PSD-95 protein complex differentially regulate learning, cognitive flexibility and reaction times in cognitive processing. These data provide insights for understanding how human mutations in these genes lead to the manifestation of diverse and complex phenotypes in NDDs

Neurotransmitters Drive Combinatorial Multistate Postsynaptic Density Networks

The mammalian postsynaptic density (PSD) comprises a complex collection of ~1100 proteins. Despite extensive knowledge of individual proteins, the overall organization of the PSD is poorly understood. Here, we define maps of molecular circuitry within the PSD based on phosphorylation of postsynaptic proteins. Activation of a single neurotransmitter receptor, the N-methyl-D-aspartate receptor (NMDAR), changed the phosphorylation status of 127 proteins. Stimulation of ionotropic and metabotropic glutamate receptors and dopamine receptors activated overlapping networks with distinct combinatorial phosphorylation signatures. Using peptide array technology, we identified specific phosphorylation motifs and switching mechanisms responsible for the integration of neurotransmitter receptor pathways and their coordination of multiple substrates in these networks. These combinatorial networks confer high information-processing capacity and functional diversity on synapses, and their elucidation may provide new insights into disease mechanisms and new opportunities for drug discover

Composite building materials based on nanomodified cement systems

ABSTRACT: Introduction. This research work investigates the combined influence of nano-sized silicon dioxide (nano-SiO2 ), carbon nanotubes and surfactants on the structural and technological characteristics of cement compositions. Materials and research methods. The paper reveals the findings of a study on the effects of various dispersion techniques of carbon nanotubes (CNT) in surfactants, such as mechanical dispersion, ultrasonic treatment, and a combined method. It considers the uniformity of CNT distribution within the plasticizer and within the cement system, along with their impacts on the physical and mechanical properties of cement stone and concrete. Differential thermal and electron microscopic analysis of aqueous dispersions of carbon nanotubes and hardened activated nanomodified cement stone was carried out. Results and discussion. It has been experimentally proven that mixing nanotubes in dry cement does not allow them to be evenly distributed throughout the volume of the mixture. When using carbon nanotubes, the maximum effect is achieved when they are introduced into aqueous dispersions of plasticizers. The percentage of plasticizer was 1%, CNT 0,1% per 1 liter of water. The most effective method of dispersing carbon nanotubes in a plasticizer is a combined one. The results obtained were used in the preparation of cement stone and concrete compositions. Conclusion. The results show that complex additives consisting of nano-SiO2 and aqueous dispersions of carbon nanotubes have a positive effect on the physical-mechanical and structural-technological properties of cement stone and concrete. Graphic dependencies are shown indicating the effectiveness of using complex additives in the production of cement composite

Targeted tandem affinity purification of PSD-95 recovers core postsynaptic complexes and schizophrenia susceptibility proteins

The molecular complexity of mammalian proteomes demands new methods for mapping the organization of multiprotein complexes. Here, we combine mouse genetics and proteomics to characterize synapse protein complexes and interaction networks. New tandem affinity purification (TAP) tags were fused to the carboxyl terminus of PSD-95 using gene targeting in mice. Homozygous mice showed no detectable abnormalities in PSD-95 expression, subcellular localization or synaptic electrophysiological function. Analysis of multiprotein complexes purified under native conditions by mass spectrometry defined known and new interactors: 118 proteins comprising crucial functional components of synapses, including glutamate receptors, K+ channels, scaffolding and signaling proteins, were recovered. Network clustering of protein interactions generated five connected clusters, with two clusters containing all the major ionotropic glutamate receptors and one cluster with voltage-dependent K+ channels. Annotation of clusters with human disease associations revealed that multiple disorders map to the network, with a significant correlation of schizophrenia within the glutamate receptor clusters. This targeted TAP tagging strategy is generally applicable to mammalian proteomics and systems biology approaches to disease