Сравнительный анализ ИТ-продуктов для страхового сектора российской экономики

The article is devoted to the comparative analysis of IT-products for the insurance sector of the Russian economy. Within the research the comparative analysis of the software products focused on the insurance sector of economy is carried out, the main criteria for the comparative analysis of information systems for the insurance sector are developed and proved, the expert assessment of four information systems for the insurance sector of the Russian economy is carried out by the method of the analysis of hierarchies.El artículo está dedicado a un análisis comparativo de productos de TI para el sector de seguros de la economía rusa. En el marco del estudio, se realizó un análisis comparativo de productos de software orientados al sector de seguros de la economía, se desarrollaron y corroboraron los criterios principales para un análisis comparativo de los sistemas de información para el sector de seguros, y se realizó una evaluación experta de cuatro sistemas de información para el sector de seguros de la economía rusa mediante el método de análisis de jerarquía.Статья посвящена сравнительному анализу ИТ-продуктов для страхового сектора российской экономики. В рамках исследования проведен сравнительный анализ программных продуктов, ориентированных на страховой сектор экономики, разработаны и обоснованы основные критерии для сравнительного анализа информационных систем для страхового сектора, проведена экспертная оценка четырех информационных систем для страхового сектора российской экономики методом анализа иерархий

The Evolution of Artificial Intelligence and the Possibility of its Application in Cyber Games

Artificial intelligence, as a separate field of research, is currently experiencing a boom - new methods of machine learning and hardware are emerging and improving, and the results achieved change the life of society. Machine translation, handwriting recognition, speech recognition are changing our reality. The work of creating unmanned vehicles, voice assistants and other devices using these technologies is in an active process. The article examines the historical context of the artificial intelligence development, it evaluates the possibilities of its introduction into cyber games, as a safe and effective platform for testing new methods of machine learning. The promotion of such projects can increase the reputation of development companies, ensure increased user confidence in other products and, with a competent marketing strategy, cause a significant public resonance among video game fans, providing the developer with economic profit

Multidrug-resistance and presence of class 1 integrons in clinical isolates of Salmonella enterica serotype Enteritidis, circulating in Armenia

Abstract. The aim of this work was detection of class 1 integrons and their contribution to the antimicrobial resistance phenotypes in strains of   subspecies enterica serotype Enteritidis. S. Enteritidis strains (n = 29) were isolated from patients with salmonellosis at “Nork” Clinical Hospital of Infectious Diseases, Yerevan, Republic of Armenia. High prevalence of multi-drug resistance (MDR) phenotypes was revealed and isolates with MDR phenotypes which are rare in the S. Enteritidis serotype were observed. Class 1 integrons were detected in 27,6% of isolates, with the prevalence of a variable region of 1000 bp. Occurrence of the MDR phenotype was more frequent in integron-positive isolates compared to integron-negative isolates of S. Enteritidis. Further studies are necessary to reveal the genetic background of MDR phenotypes and to estimate the genetic kinship among the isolates. Our results suggest a rapid and large-scale penetration of antibiotic resistance genes into populations of S. Enteritidis, which complicates infection control. More rigorous regulations should be imposed on antibiotic use, together with a vigilant epidemiological surveillance, to prevent the emergence and spread of MDR S. Enteritidis

Evidence for Escherichia coli DcuD carrier dependent FOF1-ATPase activity during fermentation of glycerol

During fermentation Escherichia coli excrete succinate mainly via Dcu family carriers. Current work reveals the total and N,N’-dicyclohexylcarbodiimide (DCCD) inhibited ATPase activity at pH 7.5 and 5.5 in E. coli wild type and dcu mutants upon glycerol fermentation. The overall ATPase activity was highest at pH 7.5 in dcuABCD mutant. In wild type cells 50% of the activity came from the FOF1-ATPase but in dcuD mutant it reached ~80%. K+ (100 mM) stimulate total but not DCCD inhibited ATPase activity 40% and 20% in wild type and dcuD mutant, respectively. 90% of overall ATPase activity was inhibited by DCCD at pH 5.5 only in dcuABC mutant. At pH 7.5 the H+ fluxes in E. coli wild type, dcuD and dcuABCD mutants was similar but in dcuABC triple mutant the H+ flux decreased 1.4 fold reaching 1.15 mM/min when glycerol was supplemented. In succinate assays the H+ flux was higher in the strains where DcuD is absent. No significant differences were determined in wild type and mutants specific growth rate except dcuD strain. Taken together it is suggested that during glycerol fermentation DcuD has impact on H+ fluxes, FOF1-ATPase activity and depends on potassium ions

Data-driven approach for creating synthetic electronic medical records

<p>Abstract</p> <p>Background</p> <p>New algorithms for disease outbreak detection are being developed to take advantage of full electronic medical records (EMRs) that contain a wealth of patient information. However, due to privacy concerns, even anonymized EMRs cannot be shared among researchers, resulting in great difficulty in comparing the effectiveness of these algorithms. To bridge the gap between novel bio-surveillance algorithms operating on full EMRs and the lack of non-identifiable EMR data, a method for generating complete and synthetic EMRs was developed.</p> <p>Methods</p> <p>This paper describes a novel methodology for generating complete synthetic EMRs both for an outbreak illness of interest (tularemia) and for background records. The method developed has three major steps: 1) synthetic patient identity and basic information generation; 2) identification of care patterns that the synthetic patients would receive based on the information present in real EMR data for similar health problems; 3) adaptation of these care patterns to the synthetic patient population.</p> <p>Results</p> <p>We generated EMRs, including visit records, clinical activity, laboratory orders/results and radiology orders/results for 203 synthetic tularemia outbreak patients. Validation of the records by a medical expert revealed problems in 19% of the records; these were subsequently corrected. We also generated background EMRs for over 3000 patients in the 4-11 yr age group. Validation of those records by a medical expert revealed problems in fewer than 3% of these background patient EMRs and the errors were subsequently rectified.</p> <p>Conclusions</p> <p>A data-driven method was developed for generating fully synthetic EMRs. The method is general and can be applied to any data set that has similar data elements (such as laboratory and radiology orders and results, clinical activity, prescription orders). The pilot synthetic outbreak records were for tularemia but our approach may be adapted to other infectious diseases. The pilot synthetic background records were in the 4-11 year old age group. The adaptations that must be made to the algorithms to produce synthetic background EMRs for other age groups are indicated.</p

Differential induction of total IgE by two Salmonella enterica serotypes

The main goal of this study was to establish how the inflammation caused by infection with two different Salmonella enterica serotypes, S. Typhimurium and S. Enteritidis, may lead to the predisposition to allergy as measured by total IgE level in the blood. Infection by S. Typhimurium did not affect the systemic IgE concentration while in S. Enteritidis-infected patients there was a significant 3.5-fold increase. This effect was especially profound in patients >4 years old, with up to the eight-fold increase above the norm. The degree of dysbiosis in these two infections measured with the comparative counts of cultivated bacteria showed an inverse relationship with the IgE concentration. Earlier we reported the elevated level of IL-17 in patients infected by S. Enteritidis. In the current study a significant correlation was found between the concentrations of IL-17 and IgE suggesting a possible role played by this cytokine in triggering the production of IgE in response to S. Enteritidis infection

Diagnosis and Treatment of Elderly and Senile Chronic Constipation: an Expert Consensus

Aim. An appraisal of practitioners with chronic constipation management details in older and senile adults.Key points. Chronic constipation is a common issue in geriatrics. Aside to age-related physiological bowel disfunction, a higher constipation incidence is conditioned by declined physical activity and frailty, polypharmacy and a series of secondary constipation-developing chronic states and diseases. Chronic constipation is associated with a higher risk of cardiovascular disease and complications, impaired general perception of health and pain, growing alarm and depression, and reduced quality of life. The treatment tactics in chronic constipation is cause-conditioned and should account for the patient’s history and therapy line, overall clinical condition, cognitive status and functional activity level. An essential baseline aspect of constipation management is apprising the patient and his family of the underlying factors and methods for non-drug and drug correction. An higher-fibre diet is recommended as first measure, with osmotic laxatives added and titrated to clinical response if none observed towards the non-drug and high-fibre regimens. Stimulant laxatives and prokinetics should be recommended in patients reluctant to fibre supplements and osmotic laxatives. Subsidiary correction includes biofeedback, transanal irrigation, acupuncture, foot reflexology and percutaneous tibial nerve stimulation.Conclusion. Elderly and senile chronic constipation is a prevalent multifactorial state requiring an efficient management via assessment and correction of total risk factors and consistent use of non-medication and drug therapies