402 research outputs found

    Biological imaging in radiation treatment planning for brain tumours

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    Lumpability for Uncertain Continuous-Time Markov Chains

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    The assumption of perfect knowledge of rate parameters in continuous-time Markov chains (CTMCs) is undermined when confronted with reality, where they may be uncertain due to lack of information or because of measurement noise. In this paper we consider uncertain CTMCs, where rates are assumed to vary non-deterministically with time from bounded continuous intervals. This leads to a semantics which associates each state with the reachable set of its probability under all possible choices of the uncertain rates. We develop a notion of lumpability which identifies a partition of states where each block preserves the reachable set of the sum of its probabilities, essentially lifting the well-known CTMC ordinary lumpability to the uncertain setting. We proceed with this analogy with two further contributions: a logical characterization of uncertain CTMC lumping in terms of continuous stochastic logic; and a polynomial time and space algorithm for the minimization of uncertain CTMCs by partition refinement, using the CTMC lumping algorithm as an inner step. As a case study, we show that the minimizations in a substantial number of CTMC models reported in the literature are robust with respect to uncertainties around their original, fixed, rate values

    ΠžΡΡ‚Ρ€Ρ‹ΠΉ ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚ ΠΌΠΈΠΎΠΊΠ°Ρ€Π΄Π°: возмоТности сочСтанного примСнСния ΠΌΠΈΠ»Π΄Ρ€ΠΎΠ½Π°Ρ‚Π° с базисной Ρ‚Π΅Ρ€Π°ΠΏΠΈΠ΅ΠΉ

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    Emergency Department and Cardiac Rhythm Disorders, Institute of Cardiology, Π‘hisinauThe effects of Mildronate used along with basic acute myocardial infarction (AMI) therapy on the clinical, electrocardiographic and echocardiographic parameters of AMI patients (pts) were studied. Material and methods. The study enrolled 60 pts with AMI: 35 pts in the study group I, and 25 in the control group II. Besides the basic AMI treatment according to the respective National Protocol, group I subjects received Mildronate 1.0 gr/day by i/v perfusion for the first 7 days, then orally in tablets for the next 6 weeks. Blood pressure, cardiac rhythm, clinical and ECG signs of myocardial ischemia, manifestations of heart failure, ECG and EchoCG changes, and patients’ exercise capacity were evaluated. Results. Ptsin group I less frequently developed ventricular tachyarrhythmia, ventricular extrasistolia, atrial fibrillation, recurrent myocardial ischemia and showed in a smaller proportion in hospital progression for heart failure. Faster changes of the ST segment towards the isoelectric line, a positive evolution of the left ventricle size, improvement of the regional wall kinetics and a better exercise capacity by a 6 minute walk test were determined in pts treated with Mildronate. No adverse reactions during the treatment with Mildronate were observed. Conclusions. Use of Mildronate along with basic acute myocardial infarction treatment showed a positive effect on the echocardiografic post-infarct changes of the left ventricle and a favorable influence on the patient’s clinical situation and their exercise capacity. ИсслСдовали эффСкты сочСтанного использования ΠœΠΈΠ»Π΄Ρ€ΠΎΠ½Π°Ρ‚Π° ΠΈ комплСксной базисной Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ острого ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚Π° ΠΌΠΈΠΎΠΊΠ°Ρ€Π΄Π° (ОИМ) Π½Π° клиничСскиС, элСктрокардиографичСскиС ΠΈ эхокардиографичСскиС ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Ρ‹ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с ОИМ. ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’ исслСдованиС Π²ΠΊΠ»ΡŽΡ‡ΠΈΠ»ΠΈ 60 Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с ОИМ: 35 – Π² ΠΎΡΠ½ΠΎΠ²Π½ΡƒΡŽ, I Π³Ρ€ΡƒΠΏΠΏΡƒ ΠΈ 25 – Π²ΠΎ II Π³Ρ€ΡƒΠΏΠΏΡƒ, контроля. Π›Π΅Ρ‡Π΅Π½ΠΈΠ΅ ОИМ ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΎΡΡŒ согласно соотвСтствСнному ΠΠ°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΌΡƒ ΠŸΡ€ΠΎΡ‚ΠΎΠΊΠΎΠ»Ρƒ. Π’ Ρ‚ΠΎ ΠΆΠ΅ врСмя Π±ΠΎΠ»ΡŒΠ½Ρ‹Π΅ I Π³Ρ€ΡƒΠΏΠΏΡ‹ ΠΏΠΎΠ»ΡƒΡ‡Π°Π»ΠΈ ΠœΠΈΠ»Π΄Ρ€ΠΎΠ½Π°Ρ‚ ΠΏΠΎ 1 Π³Ρ€/дСнь Π² Π²ΠΈΠ΄Π΅ Π²/Π² ввСдСния Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ ΠΏΠ΅Ρ€Π²Ρ‹Ρ… 7 Π΄Π½Π΅ΠΉ, Π·Π°Ρ‚Π΅ΠΌ Π² Ρ‚Π°Π±Π»Π΅Ρ‚ΠΊΠ°Ρ… Π΄ΠΎ 6 нСдСль. Π˜Π·ΡƒΡ‡Π°Π»ΠΈ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ давлСния, частоту ΠΈ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ сСрдСчного Ρ€ΠΈΡ‚ΠΌΠ°, клиничСскиС ΠΈ Π­ΠšΠ“ ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΈ ишСмии ΠΌΠΈΠΎΠΊΠ°Ρ€Π΄Π°, проявлСния сСрдСчной нСдостаточности, Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΡƒ Π­ΠšΠ“ ΠΈ Π­Ρ…ΠΎΠšΠ“ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ, Ρ‚ΠΎΠ»Π΅Ρ€Π°Π½Ρ‚Π½ΠΎΡΡ‚ΡŒ ΠΊ физичСской Π½Π°Π³Ρ€ΡƒΠ·ΠΊΠ΅. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π£ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² I Π³Ρ€ΡƒΠΏΠΏΡ‹ Ρ€Π΅ΠΆΠ΅ наблюдали ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡ΠΊΠΎΠ²Ρ‹Π΅ Ρ‚Π°Ρ…ΠΈΠ°Ρ€ΠΈΡ‚ΠΌΠΈΠΈ ΠΈ ΡΠΊΡΡ‚Ρ€Π°ΡΠΈΡΡ‚ΠΎΠ»ΠΈΡŽ, приступы ΠΌΠ΅Ρ€Ρ†Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠΉ Π°Ρ€ΠΈΡ‚ΠΌΠΈΠΈ, эпизоды ишСмии ΠΌΠΈΠΎΠΊΠ°Ρ€Π΄Π°, прогрСссированиС сСрдСчной нСдостаточности Π·Π° врСмя госпитализации. Π’ этой Π³Ρ€ΡƒΠΏΠΏΠ΅ ΠΎΡ‚ΠΌΠ΅Ρ‡Π°Π»ΠΈ Π±ΠΎΠ»Π΅Π΅ Π±Ρ‹ΡΡ‚Ρ€ΡƒΡŽ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΡƒ сСгмСнта ST, ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚Π΅Π»ΡŒΠ½ΡƒΡŽ ΡΠ²ΠΎΠ»ΡŽΡ†ΠΈΡŽ эхокардиографичСских ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ ΠΈ ΡƒΠ»ΡƒΡ‡ΡˆΠ΅Π½ΠΈΠ΅ Ρ€Π΅Π³ΠΈΠΎΠ½Π°Ρ€Π½ΠΎΠΉ сократимости Π»Π΅Π²ΠΎΠ³ΠΎ ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡ΠΊΠ°, ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠ΅ толСрантности ΠΊ Π½Π°Π³Ρ€ΡƒΠ·ΠΊΠ΅ ΠΏΠΎ Π΄Π°Π½Π½Ρ‹ΠΌ тСста Ρ…ΠΎΠ΄ΡŒΠ±Ρ‹ Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ 6 ΠΌΠΈΠ½ΡƒΡ‚. ВСрапия ΠœΠΈΠ»Π΄Ρ€ΠΎΠ½Π°Ρ‚ΠΎΠΌ ΠΏΠ΅Ρ€Π΅Π½ΠΎΡΠΈΠ»Π°ΡΡŒ Ρ…ΠΎΡ€ΠΎΡˆΠΎ, ΠΏΠΎΠ±ΠΎΡ‡Π½Ρ‹Ρ… Ρ€Π΅Π°ΠΊΡ†ΠΈΠΉ Π½Π΅ Π±Ρ‹Π»ΠΎ зафиксировано. Π’Ρ‹Π²ΠΎΠ΄Ρ‹. ИспользованиС ΠœΠΈΠ»Π΄Ρ€ΠΎΠ½Π°Ρ‚Π° Π² сочСтании с комплСксной базисной Ρ‚Π΅Ρ€Π°ΠΏΠΈΠ΅ΠΉ острого ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚Π° ΠΌΠΈΠΎΠΊΠ°Ρ€Π΄Π° ΡΠΎΠΏΡ€ΠΎΠ²ΠΎΠΆΠ΄Π°Π»ΠΎΡΡŒ ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΌ влияниСм Π½Π° постинфарктныС эхокардиографичСскиС ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ Π»Π΅Π²ΠΎΠ³ΠΎ ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡ΠΊΠ°, ΠΈΠΌΠ΅Π»ΠΎ благоприятноС воздСйствиС Π½Π° клиничСскоС состояниС Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… ΠΈ Π½Π° Ρ‚ΠΎΠ»Π΅Ρ€Π°Π½Ρ‚Π½ΠΎΡΡ‚ΡŒ ΠΊ Π½Π°Π³Ρ€ΡƒΠ·ΠΊΠ΅

    ΠžΡΡ‚Ρ€Ρ‹ΠΉ ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚ ΠΌΠΈΠΎΠΊΠ°Ρ€Π΄Π°: возмоТности сочСтанного примСнСния ΠΌΠΈΠ»Π΄Ρ€ΠΎΠ½Π°Ρ‚Π° с базисной Ρ‚Π΅Ρ€Π°ΠΏΠΈΠ΅ΠΉ

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    Emergency Department and Cardiac Rhythm Disorders, Institute of Cardiology, Π‘hisinau, Congresul III al Medicilor de Familie din Republica Moldova, 17–18 mai, 2012, ChişinΔƒu, Republica Moldova, ConferinΕ£a NaΕ£ionalΔƒ β€žMaladii bronhoobstructive la copii”, consacratΔƒ profesorului universitar, doctor habilitat Victor GheΕ£eul, 27 aprilie, ChişinΔƒu, Republica MoldovaThe effects of Mildronate used along with basic acute myocardial infarction (AMI) therapy on the clinical, electrocardiographic and echocardiographic parameters of AMI patients (pts) were studied. Material and methods. The study enrolled 60 pts with AMI: 35 pts in the study group I, and 25 in the control group II. Besides the basic AMI treatment according to the respective National Protocol, group I subjects received Mildronate 1.0 gr/day by i/v perfusion for the first 7 days, then orally in tablets for the next 6 weeks. Blood pressure, cardiac rhythm, clinical and ECG signs of myocardial ischemia, manifestations of heart failure, ECG and EchoCG changes, and patients’ exercise capacity were evaluated. Results. Ptsin group I less frequently developed ventricular tachyarrhythmia, ventricular extrasistolia, atrial fibrillation, recurrent myocardial ischemia and showed in a smaller proportion in hospital progression for heart failure. Faster changes of the ST segment towards the isoelectric line, a positive evolution of the left ventricle size, improvement of the regional wall kinetics and a better exercise capacity by a 6 minute walk test were determined in pts treated with Mildronate. No adverse reactions during the treatment with Mildronate were observed. Conclusions. Use of Mildronate along with basic acute myocardial infarction treatment showed a positive effect on the echocardiografic post-infarct changes of the left ventricle and a favorable influence on the patient’s clinical situation and their exercise capacity.ИсслСдовали эффСкты сочСтанного использования ΠœΠΈΠ»Π΄Ρ€ΠΎΠ½Π°Ρ‚Π° ΠΈ комплСксной базисной Ρ‚Π΅Ρ€Π°ΠΏΠΈΠΈ острого ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚Π° ΠΌΠΈΠΎΠΊΠ°Ρ€Π΄Π° (ОИМ) Π½Π° клиничСскиС, элСктрокардиографичСскиС ΠΈ эхокардиографичСскиС ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Ρ‹ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с ОИМ. ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’ исслСдованиС Π²ΠΊΠ»ΡŽΡ‡ΠΈΠ»ΠΈ 60 Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с ОИМ: 35 – Π² ΠΎΡΠ½ΠΎΠ²Π½ΡƒΡŽ, I Π³Ρ€ΡƒΠΏΠΏΡƒ ΠΈ 25 – Π²ΠΎ II Π³Ρ€ΡƒΠΏΠΏΡƒ, контроля. Π›Π΅Ρ‡Π΅Π½ΠΈΠ΅ ОИМ ΠΏΡ€ΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΎΡΡŒ согласно соотвСтствСнному ΠΠ°Ρ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠΌΡƒ ΠŸΡ€ΠΎΡ‚ΠΎΠΊΠΎΠ»Ρƒ. Π’ Ρ‚ΠΎ ΠΆΠ΅ врСмя Π±ΠΎΠ»ΡŒΠ½Ρ‹Π΅ I Π³Ρ€ΡƒΠΏΠΏΡ‹ ΠΏΠΎΠ»ΡƒΡ‡Π°Π»ΠΈ ΠœΠΈΠ»Π΄Ρ€ΠΎΠ½Π°Ρ‚ ΠΏΠΎ 1 Π³Ρ€/дСнь Π² Π²ΠΈΠ΄Π΅ Π²/Π² ввСдСния Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ ΠΏΠ΅Ρ€Π²Ρ‹Ρ… 7 Π΄Π½Π΅ΠΉ, Π·Π°Ρ‚Π΅ΠΌ Π² Ρ‚Π°Π±Π»Π΅Ρ‚ΠΊΠ°Ρ… Π΄ΠΎ 6 нСдСль. Π˜Π·ΡƒΡ‡Π°Π»ΠΈ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ Π°Ρ€Ρ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ давлСния, частоту ΠΈ Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ сСрдСчного Ρ€ΠΈΡ‚ΠΌΠ°, клиничСскиС ΠΈ Π­ΠšΠ“ ΠΏΡ€ΠΈΠ·Π½Π°ΠΊΠΈ ишСмии ΠΌΠΈΠΎΠΊΠ°Ρ€Π΄Π°, проявлСния сСрдСчной нСдостаточности, Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΡƒ Π­ΠšΠ“ ΠΈ Π­Ρ…ΠΎΠšΠ“ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠΉ, Ρ‚ΠΎΠ»Π΅Ρ€Π°Π½Ρ‚Π½ΠΎΡΡ‚ΡŒ ΠΊ физичСской Π½Π°Π³Ρ€ΡƒΠ·ΠΊΠ΅. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π£ ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² I Π³Ρ€ΡƒΠΏΠΏΡ‹ Ρ€Π΅ΠΆΠ΅ наблюдали ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡ΠΊΠΎΠ²Ρ‹Π΅ Ρ‚Π°Ρ…ΠΈΠ°Ρ€ΠΈΡ‚ΠΌΠΈΠΈ ΠΈ ΡΠΊΡΡ‚Ρ€Π°ΡΠΈΡΡ‚ΠΎΠ»ΠΈΡŽ, приступы ΠΌΠ΅Ρ€Ρ†Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠΉ Π°Ρ€ΠΈΡ‚ΠΌΠΈΠΈ, эпизоды ишСмии ΠΌΠΈΠΎΠΊΠ°Ρ€Π΄Π°, прогрСссированиС сСрдСчной нСдостаточности Π·Π° врСмя госпитализации. Π’ этой Π³Ρ€ΡƒΠΏΠΏΠ΅ ΠΎΡ‚ΠΌΠ΅Ρ‡Π°Π»ΠΈ Π±ΠΎΠ»Π΅Π΅ Π±Ρ‹ΡΡ‚Ρ€ΡƒΡŽ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΡƒ сСгмСнта ST, ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚Π΅Π»ΡŒΠ½ΡƒΡŽ ΡΠ²ΠΎΠ»ΡŽΡ†ΠΈΡŽ эхокардиографичСских ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»Π΅ΠΉ ΠΈ ΡƒΠ»ΡƒΡ‡ΡˆΠ΅Π½ΠΈΠ΅ Ρ€Π΅Π³ΠΈΠΎΠ½Π°Ρ€Π½ΠΎΠΉ сократимости Π»Π΅Π²ΠΎΠ³ΠΎ ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡ΠΊΠ°, ΡƒΠ²Π΅Π»ΠΈΡ‡Π΅Π½ΠΈΠ΅ толСрантности ΠΊ Π½Π°Π³Ρ€ΡƒΠ·ΠΊΠ΅ ΠΏΠΎ Π΄Π°Π½Π½Ρ‹ΠΌ тСста Ρ…ΠΎΠ΄ΡŒΠ±Ρ‹ Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ 6 ΠΌΠΈΠ½ΡƒΡ‚. ВСрапия ΠœΠΈΠ»Π΄Ρ€ΠΎΠ½Π°Ρ‚ΠΎΠΌ ΠΏΠ΅Ρ€Π΅Π½ΠΎΡΠΈΠ»Π°ΡΡŒ Ρ…ΠΎΡ€ΠΎΡˆΠΎ, ΠΏΠΎΠ±ΠΎΡ‡Π½Ρ‹Ρ… Ρ€Π΅Π°ΠΊΡ†ΠΈΠΉ Π½Π΅ Π±Ρ‹Π»ΠΎ зафиксировано. Π’Ρ‹Π²ΠΎΠ΄Ρ‹. ИспользованиС ΠœΠΈΠ»Π΄Ρ€ΠΎΠ½Π°Ρ‚Π° Π² сочСтании с комплСксной базисной Ρ‚Π΅Ρ€Π°ΠΏΠΈΠ΅ΠΉ острого ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚Π° ΠΌΠΈΠΎΠΊΠ°Ρ€Π΄Π° ΡΠΎΠΏΡ€ΠΎΠ²ΠΎΠΆΠ΄Π°Π»ΠΎΡΡŒ ΠΏΠΎΠ»ΠΎΠΆΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΌ влияниСм Π½Π° постинфарктныС эхокардиографичСскиС ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ Π»Π΅Π²ΠΎΠ³ΠΎ ΠΆΠ΅Π»ΡƒΠ΄ΠΎΡ‡ΠΊΠ°, ΠΈΠΌΠ΅Π»ΠΎ благоприятноС воздСйствиС Π½Π° клиничСскоС состояниС Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… ΠΈ Π½Π° Ρ‚ΠΎΠ»Π΅Ρ€Π°Π½Ρ‚Π½ΠΎΡΡ‚ΡŒ ΠΊ Π½Π°Π³Ρ€ΡƒΠ·ΠΊΠ΅

    Approximate probabilistic verification of hybrid systems

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    Hybrid systems whose mode dynamics are governed by non-linear ordinary differential equations (ODEs) are often a natural model for biological processes. However such models are difficult to analyze. To address this, we develop a probabilistic analysis method by approximating the mode transitions as stochastic events. We assume that the probability of making a mode transition is proportional to the measure of the set of pairs of time points and value states at which the mode transition is enabled. To ensure a sound mathematical basis, we impose a natural continuity property on the non-linear ODEs. We also assume that the states of the system are observed at discrete time points but that the mode transitions may take place at any time between two successive discrete time points. This leads to a discrete time Markov chain as a probabilistic approximation of the hybrid system. We then show that for BLTL (bounded linear time temporal logic) specifications the hybrid system meets a specification iff its Markov chain approximation meets the same specification with probability 11. Based on this, we formulate a sequential hypothesis testing procedure for verifying -approximately- that the Markov chain meets a BLTL specification with high probability. Our case studies on cardiac cell dynamics and the circadian rhythm indicate that our scheme can be applied in a number of realistic settings

    Electron-fluctuation interaction in a non-Fermi superconductor

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    We studied the influence of the amplitude fluctuations of a non-Fermi superconductor on the energy spectrum of the 2D Anderson non-Fermi system. The classical fluctuations give a temperature dependence in the pseudogap induced in the fermionic excitations.Comment: revtex fil

    Π£Ρ€ΠΎΠ²Π΅Π½ΡŒ Π³Π»ΡŽΠΊΠΎΠ·Ρ‹ ΠΊΡ€ΠΎΠ²ΠΈ ΠΏΡ€ΠΈ поступлСнии Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… с острым ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚ΠΎΠΌ ΠΌΠΈΠΎΠΊΠ°Ρ€Π΄Π° ΠΈ Π±Π΅Π· сахарного Π΄ΠΈΠ°Π±Π΅Ρ‚Π°: прогностичСскоС Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅

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    Department of Emergency and Cardiac Rhythm Disorders, Institute of Cardiology, Chisinau, Congresul III al Medicilor de Familie din Republica Moldova, 17–18 mai, 2012, ChişinΔƒu, Republica Moldova, ConferinΕ£a NaΕ£ionalΔƒ β€žMaladii bronhoobstructive la copii”, consacratΔƒ profesorului universitar, doctor habilitat Victor GheΕ£eul, 27 aprilie, ChişinΔƒu, Republica MoldovaAims. Hyperglycemia (HG) is common among patients with acute myocardial infarction (AMI) and is associated with high risk of mortality and morbidity. The aim of this study was to investigate the relationship between admission plasma glucose level and AMI outcomes in patients without diabetes (DM). Materials and results. 224 consecutive AMI patients without DM were included in the study. Patients were stratified into 4 groups (Gr) defined by admission plasma glucose: Gr1 – 11 mmol/l. The mean follow-up was 26 Β± 6 months. Patients with HG were older and more often female. More frequently, at admission, they presented with atypical symptoms, ventricular arrhythmias, in Killip class > 2, developed more often Q wave AMI (p < 0.05), reduced EF% (p < 0.05), progression of heart failure. HG was associated in nondiabetics with increased in-hospital morbidity and mortality (p < 0.0001). Long-term mortality didn’t differ among the groups, but survival term was lower in subjects with HG on admission. Conclusion. Hiperglycaemia on admission could identify high risk AMI patients and is associated with high risk of mortality and morbidity among subjects without diabetes.ЦСль исслСдования: ΠΈΠ·ΡƒΡ‡Π΅Π½ΠΈΠ΅ взаимосвязи уровня Π³Π»ΡŽΠΊΠΎΠ·Ρ‹ ΠΏΡ€ΠΈ поступлСнии (Π£Π“ΠŸ) ΠΈ исходов острого ΠΈΠ½Ρ„Π°Ρ€ΠΊΡ‚Π° ΠΌΠΈΠΎΠΊΠ°Ρ€Π΄Π° (ОИМ) Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Π±Π΅Π· сахарного Π΄ΠΈΠ°Π±Π΅Ρ‚Π° (Π‘Π”). ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. Π’ исслСдованиС Π²ΠΊΠ»ΡŽΡ‡ΠΈΠ»ΠΈ 224 Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… ОИМ Π±Π΅Π· Π‘Π”. Π’ зависимости ΠΎΡ‚ Π£Π“ΠŸ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Ρ€Π°Π·Π΄Π΅Π»ΠΈΠ»ΠΈ Π½Π° 4 Π³Ρ€ΡƒΠΏΠΏΡ‹: I Π³Ρ€. – 11,0 ΠΌΠΌΠΎΠ»/Π». Π”Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ наблюдСния составила 26 Β± 6 мСсяцСв. Π›ΠΈΡ†Π° с Π³ΠΈΠΏΠ΅Ρ€Π³Π»ΠΈΠΊΠ΅ΠΌΠΈΠ΅ΠΉ (Π“Π“) ΠΏΡ€ΠΈ поступлСнии Π±Ρ‹Π»ΠΈ ΡΡ‚Π°Ρ€ΡˆΠ΅ ΠΈ Ρ‡Π°Ρ‰Π΅ ТСнского ΠΏΠΎΠ»Π°. ΠŸΠ°Ρ†ΠΈΠ΅Π½Ρ‚Ρ‹ с ΠΏΠΎΠ²Ρ‹ΡˆΠ΅Π½Π½Ρ‹ΠΌ Π£Π“ΠŸ Ρ‡Π°Ρ‰Π΅ ΠΈΠΌΠ΅Π»ΠΈ Π°Ρ‚ΠΈΠΏΠΈΡ‡Π½ΡƒΡŽ ΠΊΠ»ΠΈΠ½ΠΈΠΊΡƒ, явлСния сСрдСчной нСдостаточности > 2 класса ΠΏΠΎ Killip, ОИМ с Π·ΡƒΠ±Ρ†ΠΎΠΌ Q (p < 0,05), ΡΠ½ΠΈΠΆΠ΅Π½Π½ΡƒΡŽ Π€Π’% (p < 0,05), прогрСссированиС сСрдСчной нСдостаточности Π·Π° врСмя госпитализации. Π£ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Π±Π΅Π· Π‘Π” с Π“Π“ ΠΏΡ€ΠΈ поступлСнии Π±Ρ‹Π»Π° ΠΎΡ‚ΠΌΠ΅Ρ‡Π΅Π½Π° самая высокая Π²Π½ΡƒΡ‚Ρ€ΠΈΠ±ΠΎΠ»ΡŒΠ½ΠΈΡ‡Π½Π°Ρ ΡΠΌΠ΅Ρ€Ρ‚Π½ΠΎΡΡ‚ΡŒ. Π‘ΠΌΠ΅Ρ€Ρ‚Π½ΠΎΡΡ‚ΡŒ ΠΏΡ€ΠΈ Π΄Π»ΠΈΡ‚Π΅Π»ΡŒΠ½ΠΎΠΌ наблюдСнии Π½Π΅ ΠΎΡ‚Π»ΠΈΡ‡Π°Π»Π°ΡΡŒ Π² ΠΈΠ·ΡƒΡ‡Π°Π΅ΠΌΡ‹Ρ… Π³Ρ€ΡƒΠΏΠΏΠ°Ρ…. Π’Ρ‹Π²ΠΎΠ΄Ρ‹. ГипСргликСмия ΠΏΡ€ΠΈ поступлСнии являСтся ΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠΌ нСблагоприятного ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·Π° ΠΈ ассоциируСтся с высоким риском ослоТнСнного тСчСния ΠΈ ΡΠΌΠ΅Ρ€Ρ‚Π΅Π»ΡŒΠ½ΠΎΠ³ΠΎ исхода ОИМ Ρƒ Π±ΠΎΠ»ΡŒΠ½Ρ‹Ρ… Π±Π΅Π· Π‘Π”

    Ginzburg-Landau Expansion in Non-Fermi Liquid Superconductors: Effect of the Mass Renormalization Factor

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    We reconsider the Ginzburg-Landau expansion for the case of a non-Fermi liquid superconductor. We obtain analytical results for the Ginzburg-Landau functional in the critical region around the superconducting phase transition, T <= T_c, in two special limits of the model, i.e., the spin-charge separation case and the anomalous Fermi liquid case. For both cases, in the presence of a mass renormalization factor, we derived the form and the specific dependence of the coherence length, penetration depth, specific heat jump at the critical point, and the magnetic upper critical field. For both limits the obtained results reduce to the usual BCS results for a two dimensional s-wave superconductor. We compare our results with recent and relevant theoretical work. The results for a d--wave symmetry order parameter do not change qualitatively the results presented in this paper. Only numerical factors appear additionally in our expressions.Comment: accepted for publication in Physical Review

    On the sequential massart algorithm for statistical model checking

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    Several schemes have been provided in Statistical Model Checking (SMC) for the estimation of property occurrence based on predefined confidence and absolute or relative error. Simulations might be however costly if many samples are required and the usual algorithms implemented in statistical model checkers tend to be conservative. Bayesian and rare event techniques can be used to reduce the sample size but they can not be applied without prerequisite or knowledge about the system under scrutiny. Recently, sequential algorithms based on Monte Carlo estimations and Massart bounds have been proposed to reduce the sample size while providing guarantees on error bounds which has been shown to outperform alternative frequentist approaches [15]. In this work, we discuss some features regarding the distribution and the optimisation of these algorithms.No Full Tex
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