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Purpose. To study a possibility of performance and diagnostic accuracy of ultrasonography (US) of a larynx in identification of motility disorders of VF (vocal folds) in comparison with the laryngoscope which is traditionally applied for this purpose.Materials and methods. According to the objectives of the study, two patient groups were formed. In first group of patients (n = 466) we studied acceptability of ultrasonografy to discriminate various laryngeal structures. In second group of patient (n = 432) we evaluated the diagnostic accuracy of ultrasonography in point of detection of vocal muscles paresis.Results. Laryngeal structures were available to examination by ultrasound (without taking in account age and sex) in 92.7% of patients. Two patterns have been identified in the course of this part of the study: deterioration of visibility of the vocal folds with increasing patient age and better visibility of the vocal folds in women than in men. According to the comparative analysis, ultrasonography accuracy rate (in those patients who had had clearly visible vocal folds during ultrasonography) did not differ from that during videolaryngoscopy.Conclusion. During the conducted research it was found that the US of the larynx is an effective and perspective method for detection of a paresis of VF with sensitivity and specificity 93,55% and 100% respectively. Among those patients who' VF are available to ultrasound evaluation the accuracy of method is comparable with a videolaryngoscopy and can be used with success in daily work of units of endocrine surgery.

BACKGROUND: Engine and vehicle control systems must have means of objective control in the form of self-diagnosis. This is especially true for new designs and technologies for controlling a gasoline internal combustion engine, such as deactivating cylinders in partial load mode. The paper gives an assessment of the possibility of self-diagnosis of cylinder shutdown in an automobile crank-guide engine without connecting rods using artificial neural networks. AIMS: Determination of the possibility of creating an artificial neural network that recognizes which cylinders are currently in operation and which are disabled, based on the nature of the change in the signals from the sensors installed on the engine mounts and independent on the crankshaft speed. METHODS: The study considered artificial neural networks of the LSTM and BiLSTM topology. An engine simulation model made in Simulink was used in order to obtain sensor signals. The conducted numerical experiments made it possible to obtain data, which simulates the sensors readings, and to train artificial neural networks to determine the order numbers and quantity of deactivated cylinders. Numerical experiments were carried out on the basis of full-factorial design. Various designs of experiments were used for training and testing of artificial neural networks, which made it possible to test the network on data that differed from the training data significantly. Testing took place on a large number of random sequences of cylinder deactivation modes. RESULTS: The obtained results show a high degree of recognition of the order numbers of deactivated cylinders just after several tens of degrees of the crankshaft rotation while switching to the corresponding mode. For the LSTM network, mode detection accuracy was above 99% in both the data sequence transfer mode and the data streaming mode. Accuracy of the BiLSTM topology was over 99.9% in the data sequence transfer mode, but significantly decreased in the data streaming mode. CONCLUSIONS: The use of considered types of networks in engine and car control systems is promising.

Resume. The prognosis of dental implantаtion success for patients with a history of generalized periodontitis differs from the prognosis for dental implantation in patients with healthy periodontal tissues. The aim of this study was to evaluate the correlations and effects of vitamin D as a possible predictor of dental implantation failure in patients with chronic periodontal disease. Twenty-seven people who underwent dental implantation were selected for this study. Patients were divided into the following groups: control group (patients with GP without peri-implant; n = 22), group 1 (patients with GP and signs of periimplantitis; n = 5); Clinical evaluation of the mucosa around the implants and implant motility was performed. We assessed the presence of bone loss around the implants by X-ray. According to our research, the content of vitamin D in the blood was statistically significantly correlated with the success of osseointegration in patients with GP. Patients with GP and vitamin D deficiency showed higher bleeding by probing (p = 0.002) and bone loss around the implant (p = 0.004) compared with patients without vitamin D deficiency. Key words: dentition defects, chronic periodontitis; dental implantation; periimplantitis.

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