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Describing Subjective Infinitive Constructions in Lexicographic Sources (on the Example of the Udmurt)

The work is devoted to the actual problem of modern Udmurt lexicography – the issues of lexicography of combinations of a subject with an infinitive. The research material was composed of dictionaries of the Udmurt language. The work is based on a descriptive method. The purpose of the work is to study the transmission in Udmurt dictionaries of verb combinations expressing emotional and mental states and physiological phenomena in the form of infinitive combinations «subject + infinitive» and to suggest acceptable ways of their design. Udmurt lexicography has come a long way since its inception and achieved certain success. However, due to the lack of continuous work in this area, many problems remain unresolved. One of these problems is the registration in dictionaries of combinations associated with the expression of emotional and mental states and physiological phenomena. In living speech, such constructions often consist of a grammatical subject (yyr ‘head’, kӧt ‘belly’, lul ‘soul; breath’, vir ‘blood’, etc.) and a conjugated form of the verb, for example: yyr kur lue ‘me angry’, kӧt kurekte ‘I’m sad’, vir pote ‘blood flows, oozes’. In the Soviet period, the tradition of presenting verbs in dictionary entries in the form of an infinitive (affix -ny) was established in the Udmurt lexicography. Along with the publication of new dictionaries, the number of structures of the «subject + infinitive» type gradually began to increase, although the subject cannot enter into a syntactic connection with the infinitive, and such structures are not found in living speech. The paper describes possible ways to solve the problem under study, while for different groups of structures, slightly different solution models are proposed.

The Effect of Methyl Dopa, Nifedipine and Labetalol Treatment on Uterine, Umbilical and Fetal Middle Cerebral Artery Blood Flows in Cases Suffered from Pregnancy Induced Hypertension

Background: Treatment of severe maternal hypertension is strongly indicated for the prevention of maternal complications, such as cerebrovascular accidents and placental abruption, for avoiding extreme pre maturity. The selection criteria for the various antihypertensive drugs are somewhat unclear, and although vasodilator agents reducing peripheral vascular resistance (e.g., methyldopa, nifidipine and labetalol) have been accepted for general obstetric use. The aim of the study is to compare the effect of methyl dopa, nifedipine and labetalol treatment on the doppler indices of uterine, umbilical and fetal middle cerebral artery blood flows in cases suffered from pregnancy induced hypertension. Methods: This prospective randomized comparative clinical trial study was carried out on 75 pregnant women suffered from pregnancy-induced hypertension. The patients were divided into three equal groups: Group I: received alpha methyldopa750 mg-2000 mg per day, Group II: received labetalol 100 mg twice per day and Group III: received nifedipine oral sustained tablets 20-120mg per day. Results: Follow up of the patients was done with assessment of the outcome measures and statistical analysis was done and revealed that the use of alpha methyldopa, nifedipine and labatalol in pregnancy induced hypertension cases produce significant reduction of blood pressure ,prolong pregnancy duration, decrease the need for maternal admission to the ICU due to uncontrolled severe hypertension, decrease insignificantly the progression of mild preeclampsia to severe preeclampsia without producing negative effect on the mother or the fetus because these drugs did not impair the uteroplacental or middle cerebral blood flow documented by Doppler studies. Conclusions: Use of methyl dopa, nifidipine and labetalol treatment in PIH cases make an improvement of uteroplacental and middle cerebral blood flow which indicated by maternal uterine, umbilical and fetal middle cerebral arteries doppler indices (resistive index, pulatility index and S/D ratio). Labetalol is ideal first line of treatment because it has potent and fast hypotensive effect without producing significant side effects on the mother or fetus.

Contributions towards Data driven Deep Learning methods to predict Steady State Fluid Flow in mechanical Heart Valves

It is commonly accepted that hemodynamic situation is related with cardiovascular diseases as well as clinical post-procedural outcome. In particular, aortic valve stenosis and insufficiency are associated with high shear flow and increased pressure loss. Furthermore, regurgitation, high shear stress and regions of stagnant blood flow are presumed to have an impact on clinical result. Therefore, flow field assessment to characterize the hemodynamic situation is necessary for device evaluation and further design optimization. In-vitro as well as in-silico fluid mechanics methods can be used to investigate the flow through prostheses. In-silico solutions are based on mathematical equitation’s which need to be solved numerically (Computational Fluid Dynamics - CFD). Fundamentally, the flow is physically described by Navier-Stokes. CFD often requires high computational cost resulting in long computation time. Techniques based on deep-learning are under research to overcome this problem. In this study, we applied a deep-learning strategy to estimate fluid flows during peak systolic steady-state blood flows through mechanical aortic valves with varying opening angles in randomly generated aortic root geometries. We used a data driven approach by running 3,500 two dimensional simulations (CFD). The simulation data serves as training data in a supervised deep learning framework based on convolutional neural networks analogous to the U-net architecture. We were able to successfully train the neural network using the supervised data driven approach. The results showing that it is feasible to use a neural network to estimate physiological flow fields in the vicinity of prosthetic heart valves (Validation error below 0.06), by only giving geometry data (Image) into the Network. The neural network generates flow field prediction in real time, which is more than 2500 times faster compared to CFD simulation. Accordingly, there is tremendous potential in the use of AIbased approaches predicting blood flows through heart valves on the basis of geometry data, especially in applications where fast fluid mechanic predictions are desired.

Effectiveness the perfusion of Endometrial and Subendometrial and Endometrial volume on the endometrial receptivity of FET Cycles

Objective: this study was effects of endometrial and subendometrial blood perfusion and endometrial volume on endometrial receptivity in frozen embryo transfer (FET) cycles. Materials and methods: This prospective observational cohort study, that on infertile women who referred for FET to Shariati Hospital and Omid Infertility Clinic in Tehran (Iran) .112 patients selected among eligible women with good quality embryos. After homogenization, participants underwent endometrial preparation for hormone replacement therapy (HRT) according to a similar routine protocol. On the day of the FET, they underwent a thorough ultrasound examination for possible effective parameters. Subsequently, one to two good quality blastocysts were transferred, and the pregnancy outcomes were monitored. Results: In vitro fertilization (IVF) was performed on 112 patients with a mean age of 33.93±4.93 years. Although, serum β-HCG level was used to confirm pregnancy. Accordingly, out of 112 participating patients, 50 (44.6%) became pregnant after IVF. Based on the results of this study, the endometrial blood flow was significantly different between the two groups of pregnant and non-pregnant women, so that a higher pregnancy rate was observed in participants with multi-focal and spare endometrial blood flows (P<0.05). Additionally, a significant relationship between endometrial blood flow and pregnancy outcome so that there was more ongoing pregnancy rates in those with multi-focal and spare endometrial blood flows (P<0.05). But the endometrial variables of volume, length, width, thickness and pattern were not significantly different between the two groups of pregnant and non-pregnant women. Moreover, contextual parameters had no significant relationship with pregnancy outcome (P>0.05). Endometrial measurement indices were also ineffective on pregnancy outcomes and no significant difference was there between the groups (P>0.05). Conclusion: Collectively, the endometrial blood flow can play an effective role in improving pregnancy event and its stability after IVF, but the endometrial volume was unable to predict pregnancy event and its stability after IVF.

Interrogating the haemodynamic effects of haemodialysis arteriovenous fistula on cardiac structure and function

Arteriovenous fistula (AVF) is the preferred type of vascular access for maintenance haemodialysis but it may contribute to maladaptive cardiovascular remodelling. We studied the effect of AVF creation on cardiac structure and function in patients with chronic kidney disease (CKD). In this prospective cohort study patients with CKD listed for first AVF creation underwent cardiac magnetic resonance (CMR) imaging at baseline and at 6 weeks. All participants had ultrasound measurements of fistula blood flow at 6 weeks. The primary outcome was the change in left ventricular (LV) mass. Secondary outcomes included changes in LV volumes, LV ejection fraction, cardiac output, LV global longitudinal strain and N-terminal-pro B-type natriuretic peptide (NT-proBNP). A total of 55 participants were enrolled, of whom 40 (mean age 59 years) had AVF creation and completed both scans. On the second CMR scan, a mean increase of 7.4 g (95% CI 1.1–13.7, p = 0.02) was observed in LV mass. Significant increases in LV end-diastolic volumes (p = 0.04) and cardiac output (p = 0.02) were also seen after AVF creation. No significant changes were observed in LV end-systolic volumes, LV ejection fraction, NT-proBNP and LV global longitudinal strain. In participants with fistula blood flows ≥ 600 mL/min (n = 22) the mean increase in LV mass was 15.5 g (95% CI 7.3–23.8) compared with a small decrease of 2.5 g (95% CI − 10.6 to 5.6) in participants with blood flows < 600 mL/min (n = 18). Creation of AVF for haemodialysis resulted in a significant increase of LV myocardial mass within weeks after surgery, which was proportional to the fistula flow.

Cyclic mechanical stresses alter erythrocyte membrane composition and microstructure and trigger macrophage phagocytosis

Red blood cells (RBCs) are cleared from the circulation when they become damaged or display aging signals targeted by macrophages. This process occurs mainly in the spleen, where blood flows through submicrometric constrictions called inter-endothelial slits (IES), subjecting RBCs to large-amplitude deformations. In this work, we circulated RBCs through microfluidic devices containing microchannels that replicate the IES. The cyclic mechanical stresses experienced by the cells affected their biophysical properties and molecular composition, accelerating cell aging. Specifically, RBCs quickly transitioned to a more spherical, less deformable phenotype that hindered microchannel passage, causing hemolysis. This transition was associated with the release of membrane vesicles, which self-extinguished as the spacing between membrane-cytoskeleton linkers became tighter. Proteomics analysis of the mechanically aged RBCs revealed significant losses of essential proteins involved in antioxidant protection, gas transport, and cell metabolism. Finally, we show that these changes made mechanically aged RBCs more susceptible to macrophage phagocytosis. These results provide a comprehensive model to explain how physical stress induces RBC clearance in the spleen.

Existence of solutions and continuous and semi-discrete stability estimates for 3D/0D coupled systems modelling airflows and blood flows

In this paper we analyse geometric multiscale models arising in the description of physiological flows such as blood flow in arteries or air flow in the bronchial tree. The geometrical complexity of the networks in which air/blood flows lead to a classical decomposition in two areas: a truncated 3D geometry corresponding to the largest contribution of the domain, and a 0D part connected to the 3D part, modelling air/blood flows in smaller airways/vessels. The fluid in the 3D part is described by the Stokes or the Navier-Stokes system which is coupled to 0D models or {\em so-called} Windkessel models. The resulting Navier-Stokes-Windkessel coupled system involves Neumann non-local boundary conditions that depends on the considered applications. We first show that the different types of Windkessel models share a similar formalism. Next we derive existence results and stability estimates for the continuous coupled Stokes-Windkessel or Navier-Stokes-Windkessel problem as well as stability estimates for the semi-discretized systems with either implicit or explicit coupling. In all the calculations, we pay a special attention to the dependancy of the various constants and smallness conditions on the data with respect to the physical and numerical parameters. In particular we exhibit different kinds of behavior depending on the considered 0D model. Moreover even if no energy estimates can be derived in energy norms for the Navier-Stokes-Windkessel system, leading to possible and observed numerical instabilities for large applied pressures, we show that stability estimates for both the continuous and semi-discrete problems, can be obtained in appropriate norms for small enough data by introducing a new well chosen Stokes-like operator. These sufficient stability conditions on the data may give a hint on the order of magnitude of the data enabling stable computations without stabilization method for the problem. Numerical simulations illustrate some of the theoretical results.

NO-HYPE: a novel hydrodynamic phantom for the evaluation of MRI flow measurements

Accurate and reproducible measurement of blood flow profile is very important in many clinical investigations for diagnosing cardiovascular disorders. Given that many factors could affect human circulation, and several parameters must be set to properly evaluate blood flows with phase-contrast techniques, we developed an MRI-compatible hydrodynamic phantom to simulate different physiological blood flows. The phantom included a programmable hydraulic pump connected to a series of pipes immersed in a solution mimicking human soft tissues, with a blood-mimicking fluid flowing in the pipes. The pump is able to shape and control the flow by driving a piston through a dedicated software. Periodic waveforms are used as input to the pump to move the fluid into the pipes, with synchronization of the MRI sequences to the flow waveforms. A dedicated software is used to extract and analyze flow data from magnitude and phase images. The match between the nominal and the measured flows was assessed, and the scope of phantom variables useful for a reliable calibration of an MRI system was accordingly defined. Results showed that the NO-HYPE phantom is a valuable tool for the assessment of MRI scanners and sequence design for the MR evaluation of blood flows. Graphical abstract