19 research outputs found

    Application of a decision support system in an industrial enterprise

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    Work at an industrial enterprise is associated with the constant adoption of management decisions at all levels, on which both the timeliness of order fulfilment and the efficiency of production capacity depend. The use of modern information technologies based on mathematical methods, allow you to make a decision knowing what should happen. Β© Published under licence by IOP Publishing Ltd.This work is supported by Act 211 Government of the Russian Federation, contract β„– 02.A03.21.0006

    Multi-agent simulation of the processing shop

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    Multi-agent model is applied for the transformation of resources used for research companies or parts of companies in the presence of high load or idle assets in production, realized by means of the metallurgical enterprise information system. The following solution has been found as a result of experiments. There are needs in increase the number of heat-treatment furnaces and reduction the number of staff.ΠœΡƒΠ»ΡŒΡ‚ΠΈΠ°Π³Π΅Π½Ρ‚Π½Π°Ρ модСль процСсса прСобразования рСсурсов примСняСтся для исслСдования прСдприятий ΠΈΠ»ΠΈ частСй прСдприятий Π½Π° Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ простоСв ΠΈΠ»ΠΈ высокой загруТСнности срСдств Π² производствС, Ρ€Π΅Π°Π»ΠΈΠ·ΠΎΠ²Π°Π½Π½ΠΎΠΉ ΠΏΡ€ΠΈ ΠΏΠΎΠΌΠΎΡ‰ΠΈ Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½Π½ΠΎΠΉ систСмы выпуска мСталлургичСской ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ†ΠΈΠΈ. На основании построСнной ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Ρ‹ экспСримСнты ΠΈ прСдставлСны Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†ΠΈΠΈ ΠΏΠΎ измСнСнию Π°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΡƒΠ΅ΠΌΡ‹Ρ… процСссов: Π½Π΅ΠΎΠ±Ρ…ΠΎΠ΄ΠΈΠΌΠΎ ΡƒΠ²Π΅Π»ΠΈΡ‡ΠΈΡ‚ΡŒ количСство тСрмичСских ΠΏΠ΅Ρ‡Π΅ΠΉ ΠΈ ΡΠ½ΠΈΠ·ΠΈΡ‚ΡŒ количСство пСрсонала Ρ†Π΅Ρ…Π°

    ΠžΡΠΎΠ±Π΅Π½Π½ΠΎΡΡ‚ΠΈ ΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½ΠΎΠ³ΠΎ ΠΈΠΌΠΌΡƒΠ½ΠΈΡ‚Π΅Ρ‚Π° ΠΈ Ρ†ΠΈΡ‚ΠΎΠΊΠΈΠ½ΠΎΠ²ΠΎΠ³ΠΎ Ρ€Π΅ΠΏΠ΅Ρ€Ρ‚ΡƒΠ°Ρ€Π° Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с мСтаболичСским синдромом

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    In the formation ofΒ metabolic syndromeΒ there is a changeΒ of the quantitative characteristicsΒ of immunocompetent cellsΒ andΒ blood cytokine profile. According toΒ our study, the elevatedΒ serumΒ content of inflammatory cytokinesΒ (IL-6, IFNΞ³Β andΒ TGF-Ξ²), in the cases of IL-10 decrease, was detected in patients withΒ metabolic syndrome. The level of serumΒ IL-1Β inpatients withΒ metabolic syndromeΒ wasΒ within normal parameters. With it, there was a significant decrease inΒ the percentage of bloodΒ CD3- andΒ CD4-T-lymphocytes,Β and, conversely,Β an increaseΒ in the number of activated TΒ (CD25+) and BΒ (CD23+)-lymphocytes andΒ monocytesΒ (CD14+) has been in patientsΒ withΒ metabolic syndrome. This revealed changes, is characterized byΒ the presence ofΒ subclinical chronic inflammation in metabolic syndromeΒ patients. It can be the result ofΒ compensatoryΒ immune responses developingΒ inΒ the weakening ofΒ adaptive immunity.Π’ процСссС формирования мСтаболичСского синдрома происходит ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ количСствСнных характСристик ΠΈΠΌΠΌΡƒΠ½ΠΎΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ‚Π½Ρ‹Ρ… ΠΊΠ»Π΅Ρ‚ΠΎΠΊ ΠΈ Ρ†ΠΈΡ‚ΠΎΠΊΠΈΠ½ΠΎΠ²ΠΎΠ³ΠΎ профиля ΠΊΡ€ΠΎΠ²ΠΈ. Богласно Π΄Π°Π½Π½Ρ‹ΠΌ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π½ΠΎΠ³ΠΎ исслСдования, Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… мСтаболичСским синдромом Ρ€Π΅Π³ΠΈΡΡ‚Ρ€ΠΈΡ€ΠΎΠ²Π°Π»ΠΎΡΡŒ ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½Π½ΠΎΠ΅ сывороточноС содСрТаниС ΠΏΡ€ΠΎΠ²ΠΎΡΠΏΠ°Π»ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Ρ… Ρ†ΠΈΡ‚ΠΎΠΊΠΈΠ½ΠΎΠ² (IL-6, IFNΞ³ ΠΈ TGF-Ξ²) ΠΏΡ€ΠΈ сниТСнии IL-10. Π£Ρ€ΠΎΠ²Π΅Π½ΡŒ сывороточного IL-1 Ρƒ Π»ΠΈΡ† с мСтаболичСским синдромом находился Π² ΠΏΡ€Π΅Π΄Π΅Π»Π°Ρ… Π½ΠΎΡ€ΠΌΡ‹. ВмСстС с Ρ‚Π΅ΠΌ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с мСтаболичСским синдромом ΠΈΠΌΠ΅Π»ΠΎ мСсто достовСрноС ΡƒΠΌΠ΅Π½ΡŒΡˆΠ΅Π½ΠΈΠ΅ содСрТания Π² ΠΊΡ€ΠΎΠ²ΠΈ Π‘D3- ΠΈ Π‘D4-Π’-Π»ΠΈΠΌΡ„ΠΎΡ†ΠΈΡ‚ΠΎΠ² ΠΈ, Π½Π°ΠΏΡ€ΠΎΡ‚ΠΈΠ², ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½ΠΈΠ΅ числа Π°ΠΊΡ‚ΠΈΠ²ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… Π’- (Π‘D25+) ΠΈ Π’ (Π‘D23+)-Π»ΠΈΠΌΡ„ΠΎΡ†ΠΈΡ‚ΠΎΠ², Π° Ρ‚Π°ΠΊΠΆΠ΅ ΠΌΠΎΠ½ΠΎΡ†ΠΈΡ‚ΠΎΠ² (CD14+). ВыявлСнныС измСнСния Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ·ΡƒΡŽΡ‚ Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… мСтаболичСским синдромом субклиничСского хроничСского воспалСния, ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ΅ ΠΌΠΎΠΆΠ΅Ρ‚ Π±Ρ‹Ρ‚ΡŒ слСдствиСм компСнсаторных ΠΈΠΌΠΌΡƒΠ½Π½Ρ‹Ρ… Ρ€Π΅Π°ΠΊΡ†ΠΈΠΉ, Ρ€Π°Π·Π²ΠΈΠ²Π°ΡŽΡ‰ΠΈΡ…ΡΡ Π½Π° Ρ„ΠΎΠ½Π΅ ослаблСния Π°Π΄Π°ΠΏΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ ΠΈΠΌΠΌΡƒΠ½ΠΈΡ‚Π΅Ρ‚Π°

    Π”Π˜ΠΠ“ΠΠžΠ‘Π’Π˜Π§Π•Π‘ΠšΠžΠ• Π—ΠΠΠ§Π•ΠΠ˜Π• Π’Π ΠžΠœΠ‘ΠžΠ¦Π˜Π’ΠΠ ΠΠžΠ“Πž ЀАКВОРА РОБВА PDGF-BB И ST2 ПРИ ΠžΠ’Π’ΠžΠ Π–Π•ΠΠ˜Π˜ Π’Π ΠΠΠ‘ΠŸΠ›ΠΠΠ’Π˜Π ΠžΠ’ΠΠΠΠžΠ“Πž БЕРДЦА

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    Aim: to determine the association between plasma concentrations of biomarkers (sCD40L, PDGF-BB, PlGF-1,Β ST2) with histochemical and immunohistochemical signs of heart rejection.Materials and methods. The studyΒ included 98 heart recipients aged from 12 to 69 (mean age 43 Β± 14) years, of which 78 men. In 68 patients dilatedΒ cardiomyopathy was diagnosed, 30 recipients were diagnosed with coronary heart disease. The concentrationsΒ of placental growth factor (PlGF-1), platelet-derived growth factor (PDGF-BB), soluble CD40 ligand (sCD40L)Β were measured using xMAP technology. The concentrations of ST2 cardiac biomarker were measured byΒ ELISA.Results. No correlation was found between the levels of biomarkers (sCD40L, PDGF-BB, PlGF-1, ST2)Β and gender, age and diagnosis. The rejection was diagnosed via biopsy in 49 biopsies taken from 37 recipients.Β 1A rejection was found in 25 patients (34 biopsies), 1B rejection was identifi ed in 2 patients (3 biopsies), 3AΒ rejection was diagnosed in 4 patients. Immunohistochemical signs of humoral rejection were identifi ed in 3 patients.Β The combination of acute cellular and humoral rejection was found in 4 patients (5 biopsies). The PDGFBBΒ level was measured at the same day as the biopsy was taken, and it was shown to be signifi cantly higher inΒ patients with rejection (p = 0.02). Rejection frequency was signifi cantly higher in patients with high PDGF-BBΒ level (β‰₯2473.7 pg/ml, RR = 1.64 Β± 0.23; 95% CI [1.03–2.61]). Rejection frequency increased to 2.11 Β± 0.34Β [95% CI [1.08–4.11]] in recipients with ST2 and PDGF-BB concentration higher than the median value. TheΒ highest predictive value for heart rejection can be reached by a panel of three biomarkers: sCD40L, PlGF-1 andΒ ST2 (RR = 2.51 Β± 0.38; 95% CI [1.18–5.3]).Conclusion. PDGF-BB has moderate predictive value for heartΒ rejection. The highest predictive value for heart rejection was reached by a panel of three biomarkers: sCD40L,Β PlGF-1 and ST2.ЦСль: ΠΎΠΏΡ€Π΅Π΄Π΅Π»ΠΈΡ‚ΡŒ связь ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠΈ Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² sCD40L, PDGF-BB, PlGF-1, ST2 Π² ΠΏΠ»Π°Π·ΠΌΠ΅ ΠΊΡ€ΠΎΠ²ΠΈ Ρ€Π΅Ρ†ΠΈΠΏΠΈΠ΅Π½Ρ‚ΠΎΠ² сСрдца с Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ΠΌ ΠΈ Π²Ρ‹Ρ€Π°ΠΆΠ΅Π½Π½ΠΎΡΡ‚ΡŒΡŽ гистохимичСских ΠΈ иммуногистохимичСских признаков отторТСния сСрдСчного трансплантата.ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’ исслСдованиС Π²ΠΊΠ»ΡŽΡ‡Π΅Π½Ρ‹ 98 пациСнтов с трансплантированным сСрдцСм Π² возрастС ΠΎΡ‚ 12 Π΄ΠΎ 69 (43 Β± 14) Π»Π΅Ρ‚, ΠΈΠ· Π½ΠΈΡ… 78 ΠΌΡƒΠΆΡ‡ΠΈΠ½. Π£ 68 Ρ€Π΅Ρ†ΠΈΠΏΠΈΠ΅Π½Ρ‚ΠΎΠ² Π΄ΠΎ трансплантации сСрдца Π±Ρ‹Π»Π° диагностирована дилатационная кардиомиопатия, Ρƒ 30 – ΠΈΡˆΠ΅ΠΌΠΈΡ‡Π΅ΡΠΊΠ°Ρ болСзнь сСрдца. ΠšΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΡŽ ΠΏΠ»Π°Ρ†Π΅Π½Ρ‚Π°Ρ€Π½ΠΎΠ³ΠΎ Ρ„Π°ΠΊΡ‚ΠΎΡ€Π° роста (PlGF-1), Ρ„Π°ΠΊΡ‚ΠΎΡ€Π° роста Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΡ†ΠΈΡ‚ΠΎΠ²Β (PDGF-BB), растворимой Ρ„ΠΎΡ€ΠΌΡ‹ Π»ΠΈΠ³Π°Π½Π΄Π° CD40 (sCD40L) измСряли с использованиСм ΠΌΡƒΠ»ΡŒΡ‚ΠΈΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠΉΒ Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ; ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΡŽ ΡΡ‚ΠΈΠΌΡƒΠ»ΠΈΡ€ΡƒΡŽΡ‰Π΅Π³ΠΎ Ρ„Π°ΠΊΡ‚ΠΎΡ€Π° роста ST2 – с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ΠΈΠΌΠΌΡƒΠ½ΠΎΡ„Π΅Ρ€ΠΌΠ΅Π½Ρ‚Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π°.Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. ΠšΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΡ ΠΊΠ°ΠΆΠ΄ΠΎΠ³ΠΎ Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€Π° Π½Π΅ зависСла ΠΎΡ‚ ΠΏΠΎΠ»Π°, возраста ΠΈ Π΄ΠΈΠ°Π³Π½ΠΎΠ·Π° Π΄ΠΎ трансплантации. Π£ 37 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² (ΠΏΠΎ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π°ΠΌ 49 биопсий) Π±Ρ‹Π»ΠΈ диагностированы ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΈ отторТСния. ГистохимичСскиС ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΈ острого ΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½ΠΎΠ³ΠΎ отторТСния – Ρƒ 30 Ρ€Π΅Ρ†ΠΈΠΏΠΈΠ΅Π½Ρ‚ΠΎΠ² (Π² 41 Π±ΠΈΠΎΠΏΡ‚Π°Ρ‚Π΅): 1А – ΡƒΒ 25 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² (Π² 34 Π±ΠΈΠΎΠΏΡ‚Π°Ρ‚Π°Ρ…), 1Π’ – Ρƒ Π΄Π²ΡƒΡ… ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² (Π² Ρ‚Ρ€Π΅Ρ… Π±ΠΈΠΎΠΏΡ‚Π°Ρ‚Π°Ρ…), 3А – Ρƒ Ρ‡Π΅Ρ‚Ρ‹Ρ€Π΅Ρ… ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ².Β Π˜ΠΌΠΌΡƒΠ½ΠΎΠ³ΠΈΡΡ‚ΠΎΡ…ΠΈΠΌΠΈΡ‡Π΅ΡΠΊΠΈΠ΅ ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΈ антитСлоопосрСдованного отторТСния выявлСны Ρƒ Ρ‚Ρ€Π΅Ρ… ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ².Β Π‘ΠΎΡ‡Π΅Ρ‚Π°Π½ΠΈΠ΅ острого ΠΊΠ»Π΅Ρ‚ΠΎΡ‡Π½ΠΎΠ³ΠΎ ΠΈ Π³ΡƒΠΌΠΎΡ€Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ отторТСния ΠΎΠ±Π½Π°Ρ€ΡƒΠΆΠ΅Π½ΠΎ Ρƒ Ρ‡Π΅Ρ‚Ρ‹Ρ€Π΅Ρ… ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² (Π² пяти биоптатах). ΠšΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΡ PDGF-BB, измСрСнная Π² дСнь ΡΠ½Π΄ΠΎΠΌΠΈΠΎΠΊΠ°Ρ€Π΄ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ биопсии, Π±Ρ‹Π»Π° Π΄ΠΎΡΡ‚ΠΎΠ²Π΅Ρ€Π½ΠΎΒ Π²Ρ‹ΡˆΠ΅ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΎΡ‚Ρ‚ΠΎΡ€ΠΆΠ΅Π½ΠΈΠ΅ΠΌ (p = 0,02). Π£ Ρ€Π΅Ρ†ΠΈΠΏΠΈΠ΅Π½Ρ‚ΠΎΠ² сСрдца с ΡƒΡ€ΠΎΠ²Π½Π΅ΠΌ PDGF-BB Π²Ρ‹ΡˆΠ΅ ΠΌΠ΅Π΄ΠΈΠ°Π½Ρ‹Β (2473,7 ΠΏΠ³/ΠΌΠ») риск отторТСния Π±Ρ‹Π» Π² 1,64 Ρ€Π°Π·Π° Π²Ρ‹ΡˆΠ΅, Ρ‡Π΅ΠΌ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΡƒΡ€ΠΎΠ²Π½Π΅ΠΌ Π½ΠΈΠΆΠ΅ ΠΌΠ΅Π΄ΠΈΠ°Π½Ρ‹. Π£ Ρ€Π΅Ρ†ΠΈΠΏΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠ΅ΠΉ ΠΈ ST2, ΠΈ PDGF-BB, ΠΏΡ€Π΅Π²Ρ‹ΡˆΠ°ΡŽΡ‰Π΅ΠΉ значСния ΠΌΠ΅Π΄ΠΈΠ°Π½Ρ‹, ΠΎΡ‚Π½ΠΎΡΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ риск отторТСния возрастал Π΄ΠΎ 2,11 Β± 0,34 [95% Π”Π˜ 1,08–4,11]. НаибольшСй диагностичСской Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒΡŽΒ Π² ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΈ отторТСния трансплантата ΠΎΠ±Π»Π°Π΄Π°Π»Π° панСль ΠΈΠ· Ρ‚Ρ€Π΅Ρ… Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² (sCD40L, PlGF-1, ST2):Β RR = 2,51 Β± 0,38 [95% Π”Π˜ 1,18–5,3].Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. PDGF-BB ΠΎΠ±Π»Π°Π΄Π°Π΅Ρ‚ ΡƒΠΌΠ΅Ρ€Π΅Π½Π½ΠΎΠΉ прогностичСской Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒΡŽ Π² ΠΎΡ‚Π½ΠΎΡˆΠ΅Π½ΠΈΠΈ отторТСния трансплантированного сСрдца. НаибольшСй диагностичСской Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒΡŽ ΠΎΠ±Π»Π°Π΄Π°Π΅Ρ‚ панСль ΠΈΠ· Ρ‚Ρ€Π΅Ρ… Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ²: sCD40L, PlGF-1, ST2

    Π‘Ρ€Π°Π²Π½ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· диагностичСской значимости ΠΏΠ°Π½Π΅Π»Π΅ΠΉ Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² Ρƒ Ρ€Π΅Ρ†ΠΈΠΏΠΈΠ΅Π½Ρ‚ΠΎΠ² сСрдца Π²Β ΠΎΡ‚Π΄Π°Π»Π΅Π½Π½Ρ‹Π΅ сроки послС трансплантации

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    Aim. To perform comparative analysis of the diagnostic efficacy of sCD40L, PDGF-BB, VEGF-A and ST2 in recipients with cardiac rejection in different periods after transplantation. Materials and methods. The study included 144 cardiac recipients aged from 12 to 71 (mean age 44 Β± 14) years old, among those 112 were men. Venous blood plasma taken on the same day with endomyocardial biopsy was used for the study. The concentrations of soluble CD40 ligand (sCD40L), vascular endothelial growth factor (VEGF-A), platelet-derived growth factor (PDGF-BB) were measured using xMAP technology. The concentrations of ST2 were measured by ELISA. Results. Men had significantly higher levels of ST2 and VEGF-A compared to women (p = 0.03). No correlation was found between the levels of biomarkers (sCD40L, PDGF-BB, VEGF-A, ST2) and age, diagnosis before transplantation, presence of arterial hypertension and diabetes mellitus. Comparative analysis of the biomarkers’ levels didn’t show significant difference between patients with heart transplant rejection and without it in the first month and in the first year after transplantation. The ST2 level was significantly higher in patients with heart rejection (p = 0.01) in the long term period (1–5 years) after transplantation compared to patients without rejection. Relative risk of cardiac transplant rejection was significantly higher in patients with high (>22.8 ng/ml) ST2 level (RR = 2.59 Β± 0.33; Se – 35%, Sp – 93%). However, its combination with other biomarkers improved their diagnostic value. Relative risk for panel including ST2, VEGF-A and PDGF-BB 3.47 Β± 0.55, Se – 57%, Sp – 91%; relative risk for panel including ST2, sCD40L and PDGF-BB was 3.75 Β± 0.59, Se – 50%, Sp – 92%. The highest diagnostic efficacy for the heart transplant rejection was reached by a panel of biomarkers that included ST2 and PDGF-BB (RR = 5.0 Β± 0.56 [95% CI 1.68–14.92], Se – 63%, Sp – 94%). Conclusion. ST2 had the biggest diagnostic value for heart transplant rejection in the long term period after heart transplantation. Its usage as a part of complex tests with other biomarkers improves the sensitivity of noninvasive diagnosis of the cardiac rejection. The highest diagnostic significance for cardiac transplant rejection in the long term period was shown by a panel of ST2 and PDGF-BB.ЦСль. Π’Ρ‹ΠΏΠΎΠ»Π½ΠΈΡ‚ΡŒ ΡΡ€Π°Π²Π½ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· диагностичСской эффСктивности sCD40L, PDGF-BB, VEGF-A ΠΈ ST2 Π² составС ΠΏΠ°Π½Π΅Π»Π΅ΠΉ Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² ΠΏΡ€ΠΈ ΠΎΡ‚Ρ‚ΠΎΡ€ΠΆΠ΅Π½ΠΈΠΈ трансплантированного сСрдца Π² Ρ€Π°Π·Π»ΠΈΡ‡Π½Ρ‹Π΅ сроки послС трансплантации. ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Ρ‹ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’ исслСдованиС Π²ΠΊΠ»ΡŽΡ‡Π΅Π½Ρ‹ 144 Ρ€Π΅Ρ†ΠΈΠΏΠΈΠ΅Π½Ρ‚Π° сСрдца Π² возрастС ΠΎΡ‚ 12 Π΄ΠΎ 71 (44 Β± 14) Π³ΠΎΠ΄Π°, ΠΈΠ· Π½ΠΈΡ… 112 ΠΌΡƒΠΆΡ‡ΠΈΠ½. ΠšΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΡŽ Ρ†ΠΈΡ‚ΠΎΠΊΠΈΠ½ΠΎΠ² измСряли Π² ΠΏΠ»Π°Π·ΠΌΠ΅ пСрифСричСской ΠΊΡ€ΠΎΠ²ΠΈ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ², взятой Π² дСнь ΡΠ½Π΄ΠΎΠΌΠΈΠΎΠΊΠ°Ρ€Π΄ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ биопсии. Π£Ρ€ΠΎΠ²Π΅Π½ΡŒ растворимой Ρ„ΠΎΡ€ΠΌΡ‹ Π»ΠΈΠ³Π°Π½Π΄Π° CD40 (sCD40L), Ρ„Π°ΠΊΡ‚ΠΎΡ€Π° роста эндотСлия сосудов (VEGF-A), Ρ„Π°ΠΊΡ‚ΠΎΡ€Π° роста Ρ‚Ρ€ΠΎΠΌΠ±ΠΎΡ†ΠΈΡ‚ΠΎΠ² (PDGF-BB), измСряли с использованиСм ΠΌΡƒΠ»ΡŒΡ‚ΠΈΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠΉ Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ; ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ ΡΡ‚ΠΈΠΌΡƒΠ»ΠΈΡ€ΡƒΡŽΡ‰Π΅Π³ΠΎ Ρ„Π°ΠΊΡ‚ΠΎΡ€Π° роста ST2 – с ΠΏΠΎΠΌΠΎΡ‰ΡŒΡŽ ΠΈΠΌΠΌΡƒΠ½ΠΎΡ„Π΅Ρ€ΠΌΠ΅Π½Ρ‚Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π°. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π£Ρ€ΠΎΠ²Π΅Π½ΡŒ ST2 ΠΈ VEGF-A Π±Ρ‹Π» достовСрно Π²Ρ‹ΡˆΠ΅ Ρƒ ΠΌΡƒΠΆΡ‡ΠΈΠ½, Ρ‡Π΅ΠΌ Ρƒ ΠΆΠ΅Π½Ρ‰ΠΈΠ½ (p = 0,03). Π£Ρ€ΠΎΠ²Π½ΠΈ исслСдуСмых Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² Π½Π΅ зависСли ΠΎΡ‚ возраста, Π΄ΠΈΠ°Π³Π½ΠΎΠ·Π° Π΄ΠΎ трансплантации сСрдца (Π’Π‘), наличия Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎΠΉ Π³ΠΈΠΏΠ΅Ρ€Ρ‚ΠΎΠ½ΠΈΠΈ, сахарного Π΄ΠΈΠ°Π±Π΅Ρ‚Π° II Ρ‚ΠΈΠΏΠ°. Π‘Ρ€Π°Π²Π½ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ Π°Π½Π°Π»ΠΈΠ· ΡƒΡ€ΠΎΠ²Π½Π΅ΠΉ Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² Π½Π΅ ΠΏΠΎΠΊΠ°Π·Π°Π» достовСрной Ρ€Π°Π·Π½ΠΈΡ†Ρ‹ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с Π½Π°Π»ΠΈΡ‡ΠΈΠ΅ΠΌ отторТСния сСрдСчного трансплантата ΠΈ Π±Π΅Π· Ρ‚Π°ΠΊΠΎΠ²ΠΎΠ³ΠΎ Π² ΠΏΠ΅Ρ€Π²Ρ‹ΠΉ мСсяц ΠΈ Π² ΠΏΠ΅Ρ€Π²Ρ‹ΠΉ Π³ΠΎΠ΄ послС Π’Π‘. ΠšΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΡ ST2 Π±Ρ‹Π»Π° достовСрно Π²Ρ‹ΡˆΠ΅ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΎΡ‚Ρ‚ΠΎΡ€ΠΆΠ΅Π½ΠΈΠ΅ΠΌ сСрдца, Ρ‡Π΅ΠΌ Π±Π΅Π· Ρ‚Π°ΠΊΠΎΠ²ΠΎΠ³ΠΎ, Π² ΠΎΡ‚Π΄Π°Π»Π΅Π½Π½Ρ‹Π΅ сроки (1–5 Π»Π΅Ρ‚) послС Π’Π‘ (p = 0,01). ΠžΡ‚Π½ΠΎΡΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ риск развития отторТСния трансплантированного сСрдца Π² ΠΎΡ‚Π΄Π°Π»Π΅Π½Π½Ρ‹Π΅ сроки послС Π’Π‘ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠ΅ΠΉ ST2, ΠΏΡ€Π΅Π²Ρ‹ΡˆΠ°ΡŽΡ‰Π΅ΠΉ Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ ΠΌΠ΅Π΄ΠΈΠ°Π½Ρ‹ (22,8 Π½Π³/ΠΌΠ»), Π² 2,6 Ρ€Π°Π·Π° Π²Ρ‹ΡˆΠ΅, Ρ‡Π΅ΠΌ Ρƒ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² с ΠΊΠΎΠ½Ρ†Π΅Π½Ρ‚Ρ€Π°Ρ†ΠΈΠ΅ΠΉ Ρ†ΠΈΡ‚ΠΎΠΊΠΈΠ½Π° Π½ΠΈΠΆΠ΅ ΠΌΠ΅Π΄ΠΈΠ°Π½Ρ‹ (Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ – 35%, ΡΠΏΠ΅Ρ†ΠΈΡ„ΠΈΡ‡Π½ΠΎΡΡ‚ΡŒ – 93%). ST2 Π² составС ΠΏΠ°Π½Π΅Π»Π΅ΠΉ Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² ΡƒΠ²Π΅Π»ΠΈΡ‡ΠΈΠ²Π°Π΅Ρ‚ ΠΈΡ… Π΄ΠΈΠ°Π³Π½ΠΎΡΡ‚ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒ: для ΠΏΠ°Π½Π΅Π»ΠΈ, Π²ΠΊΠ»ΡŽΡ‡Π°ΡŽΡ‰Π΅ΠΉ ST2, PDGF-BB ΠΈ VEGF-A, ΠΎΡ‚Π½ΠΎΡΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ риск составлял 3,47 Β± 0,55 (Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ – 57%, ΡΠΏΠ΅Ρ†ΠΈΡ„ΠΈΡ‡Π½ΠΎΡΡ‚ΡŒ – 91%); для ΠΏΠ°Π½Π΅Π»ΠΈ, Π²ΠΊΠ»ΡŽΡ‡Π°ΡŽΡ‰Π΅ΠΉ ST2, PDGF-BB ΠΈ sCD40L – 3,75 Β± 0,59 (Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ – 50%, ΡΠΏΠ΅Ρ†ΠΈΡ„ΠΈΡ‡Π½ΠΎΡΡ‚ΡŒ – 92%) Π‘ΠΎΡ‡Π΅Ρ‚Π°Π½ΠΈΠ΅ ST2 ΠΈ PDGF-BB ΠΎΠ±Π»Π°Π΄Π°Π»ΠΎ наибольшСй диагностичСской Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒΡŽ (RR = 5,00 Β± 0,56 [95% Π”Π˜ 1,68–14,92]; Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ – 63%, ΡΠΏΠ΅Ρ†ΠΈΡ„ΠΈΡ‡Π½ΠΎΡΡ‚ΡŒ – 94%). Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. НаибольшСй диагностичСской Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒΡŽ ΠΏΡ€ΠΈ ΠΎΡ‚Ρ‚ΠΎΡ€ΠΆΠ΅Π½ΠΈΠΈ трансплантированного сСрдца Π² ΠΎΡ‚Π΄Π°Π»Π΅Π½Π½Ρ‹Π΅ сроки послС трансплантации ΠΎΠ±Π»Π°Π΄Π°Π΅Ρ‚ ST2, ΠΈ Π΅Π³ΠΎ ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ Π² составС комплСксных тСстов с Π΄Ρ€ΡƒΠ³ΠΈΠΌΠΈ Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€Π°ΠΌΠΈ позволяСт ΡƒΠ»ΡƒΡ‡ΡˆΠΈΡ‚ΡŒ Ρ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ Π½Π΅ΠΈΠ½Π²Π°Π·ΠΈΠ²Π½ΠΎΠΉ диагностики отторТСния. НаибольшСй диагностичСской Π·Π½Π°Ρ‡ΠΈΠΌΠΎΡΡ‚ΡŒΡŽ Π² ΠΎΡ‚Π΄Π°Π»Π΅Π½Π½Ρ‹Π΅ сроки послС Π’Π‘ ΠΎΠ±Π»Π°Π΄Π°Π΅Ρ‚ панСль ΠΈΠ· Π΄Π²ΡƒΡ… Π±ΠΈΠΎΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ²: ST2 ΠΈ PDGF-BB

    THE ROLE OF NEW METHODS OF STATE MANAGEMENT IN PRESERVING AND DEVELOPING THE HUMAN CAPITAL AS THE BASIS OF THE MODERN ECONOMY GROWTH

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    Objective: to reflect the critical importance of human capital as the basis for economic growth and competitiveness of the country; to identify and justify the importance of new forms and methods of state governance aimed at the preservation and development of human potential in all aspects. Methods: systematic approach; abstract-logic method, method of observation. Results: basing on the study of expert opinions in the field of human capital preservation and development, the necessity is proved to optimize the principles of state management in the sphere of human capital preservation and development. Scientific novelty: the estimation is carried out of new methods and principles of state control in the sphere of human capital preservation and development; approaches are defined to estimate the needs in labour resources , including migration ones, harmonized with the demand in all sectors of the economy. Practical value: possibility for state power executive bodies to use the proposed approaches when calculating the balance of labor resources

    Epidemiological significance of chronic pharyngitis, nasopharyngitis, sinusitis, and rhinitis in Moscow and the Russian Federation in 1996 to 2009

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    Objective: to study trends in the incidence and prevalence of chronic pharyngitis, nasopharyngitis, sinusitis, and rhinitis (CPNSR) in differentage groups in Moscow and the Russian Federation (RF) in the period 1996 to 2009.Materials and methods. The epidemic significance of CPNSR in Moscow and the RF was estimated, by analyzing the records available inΒ the annual official statistical sources (Form No. 12).Results. The incidence of CPNSR in Moscow in the study period remains lower than those in the RF. Its prevalence among the population inΒ the city and in the country as a whole shows a significant increasing trend. Among the adolescents in both Moscow and the RF, the incidenceΒ of CPNSR is higher than that in children and constitutes 24.4 and 31.6 versus 3.3 and 21.8 per 10,000 population, respectively. TheΒ childrenand adolescents in the RF are the highest risk groups in the incidence of CPNSR. In 2009, its prevalence rates in Moscow and theΒ RF were 99.5 and 121.3 per 10,000, respectively; which were well above those in 2007 (81.2 and 117.5 per 10,000, respectively).Conclusion. The high incidence and prevalence rates for CPNSR remain high in all population strata in Moscow and the RF, which may beΒ associated with decreased diagnostic alertness and inadequate treatment for upper airway diseases.</p

    Learning motivation of first-year students of a technical university

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    The concepts β€œmotive” and β€œmotivation” and their role in the learning process of the technical university are analyzed. The following types of motives were distinguished: internal learning motivation related to learning activities and their content and external learning motivation not related to learning activities and their content but determined by external factors and circumstances. Learning motivation is associated with various changes that occur in students during the learning process. To identify the motivation in firstyear students, they were tested. Driving motives were identified. The results showed that students prefer real learning motives (to use acquired knowledge in life, to continue successful training in subsequent courses, to get good marks, to acquire deep knowledge and intellectual satisfaction). The authors examined motivating methods and techniques. Motivation is a tool used to improve the learning process

    Architecture of the Multi-agent Resource Conversion Processes Extended with Agent Coalitions

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    Pretty often there is a process visualization in one's mind before the process is implemented in form of a simulation model. The main purpose of this visualization is the certain improvement of an imperfect or ineffective process, or the estimation of the influence of various impacts. Most of the time the simulation systems provide a certain benefit for us, especially when the process develops in a predefined way, no matter how complex it is. But sometimes there are situations when the decision making persons have to interact between each other and make a decision with consideration of the other person's opinion. Moreover, that may have conflicts in case they use the same resources or they are focused on a common goal by using different approaches (and again, same resources). Anyway, this sort of behavior has to be modelled as well. In this work we are presenting the apparatus of the resource conversion processes for the distributed simulation system BPsim.MAS. We will present the advantages of the software, the technologies lying under the hood and some recent additions that were implemented for the definition of agent coalitions. This is something which helps us create the simulation models of the complex systems and behavior scenarios, when multiple agents interact with each other. At the end of the work we suggest a sample implementation of the system on the basis of a network of petrol stations, that relies on presented apparatus. We also compare our results with the ones achieved with the simulation model, based on the networks of requirements and capabilities. Β© 2017 The Authors

    Hybrid Agents Implementation for the Control of the Construction Company

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    Planning the project duration together with separate works is an essential element of managing the construction. The final duration depends on multiple factors, including the funds, customer requests, and capabilities of the construction company. In order to avoid additional costs in penalties or additional expenses, the management needs to estimate the real construction duration in advance, before the contract is signed. Further on, these terms need to be monitored both in whole and for the specific jobs in order to be able to edit further stages with regard of the remaining time, resources and used resources ratio. The development of a decision support system for the construction company is a pressing problem due to the growing demand in decision making persons' labor automation in planning and monitoring the construction processes. The paper presents the model and the application experience for such a system. Β© 2017 The Authors
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