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Uncertainty Calculation to Assess the Structural and Functional State of Bone Tissue

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A range of issues related to using English attributive phrases formed by the prefix + noun model in dental literature by modern scientists is considered. Such words' syntactic structure does not correspond to the disease's pathogenesis, which creates certain difficulties in terms of the perception of these syntactic constructions by General Practitioners and Pathologists Our work is devoted to finding an adequate equivalent replacement for the ingrained semantics of phrases that are implicit in nature. Using the term "discoloration", in our opinion, is due to the simplicity of explaining to the patient the change in tooth color under the influence of various exogenous and endogenous factors. Using the term 'pigment dystrophy' for dental patients is a complicated psychological factor. Therefore, there is a substitution of 'pigment dystrophy' to "discoloration" in modern dental literature. The term 'pigment dystrophy' is more pathologically and pathogenetically determined and is more suitable for explaining pathological processes in the teeth' hard tissues. There is no concept of "pigment dystrophy" and "discoloration" of teeth in the current classification of diseases World Health Organization (WHO) ICD-10. As a result of the analysis of the rules and semantics of the terms used by scientists, they are incorrect in many cases.
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In spite of a high informative value, spiral computed tomography is currently an additional optional examination and it is not included in domestic and foreign preoperative examination protocols. Purpose – assessing the feasibility of spiral computed tomography in the complex of presurgery examination of patients with ventral hernias. Materials and methods. The paper deals with analyzing the diagnostic findings of 35 patients with ventral hernias treated at Surgery Department of Municipal Non-Commercial Enterprise of Kharkiv Regional Council “Regional Clinical Hospital” during 2018–2019 period. All patients were operated on after compulsory and additional examinations according to the existing guidelines. Spiral computed tomography was an additional examination for all patients. The frequency of symptoms detected by means of computed tomography and confirmed during surgery was analyzed. Results. Most of the signs revealed during tomography and associated with the combined abdominal pathology, were completely confirmed by laparoscopic exploration of the abdominal cavity and pelvis. Spiral computed tomography was of particular value in patients clinically diagnosed with chronic appendicitis. When assessing the ventral hernia, it was possible not only to clearly determine its content and location towards the abdominal line, but also, before surgery, to calculate the width and length of the hernia gate and the volume of the organs in hernia sac. Unlike ultrasonography, computed tomography makes it possible to thoroughly evaluate the dimensions of the hernia gate and the state of the muscular aponeurotic layer of the anterior abdominal wall. Not least important is diagnosing the combined abdominal pathology, including the oncological one, which has no clinical manifestations but still has to be exposed to surgery. Conclusions. In the complex of preoperative examination of patients with ventral hernias, spiral computed tomography provides useful information on the anatomical features of ventral hernia and the combined abdominal pathology that requires surgical intervention. These data aid in planning a favorable type of hernioplasty of ventral hernia and simultaneous surgery. Spiral computed tomography is recommended to be added to the standard protocol of presurgery examination of patients with ventral hernias.
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A noniterative approach to the problem of visually lossless compression of dental images is proposed for an image coder based on the discrete cosine transform (DCT) and partition scheme optimization. This approach considers the following peculiarities of the problem. It is necessary to carry out lossy compression of dental images to achieve large compression ratios (CRs). Since dental images are viewed and analyzed by specialists, it is important to preserve useful diagnostic information preventing appearance of any visible artifacts due to lossy compression. At last, dental images may contain noise having complex statistical and spectral properties. In this paper, we have analyzed and utilized dependences of three quality metrics (Peak signal-to-noise ratio, PSNR; eak Signal-to-Noise Ratio using Human Visual System and Masking (PSNR-HVS-M); and feature similarity, FSIM) on the quantization step (QS), which controls a compression ratio for the so-called advanced DCT coder (ADCTC). The threshold values of distortion visibility for these metrics have been considered. Finally, the recent results on detectable changes in noise intensity have been incorporated in the QS setting. A visual comparison of original and compressed images allows to conclude that the introduced distortions are practically undetectable for the proposed approach; meanwhile, the provided CR lies within the interval.
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Objective. Determining the anatomical variability of the upper maxillary sinus and ostiomeatal complex components as well as on the basis of the obtained data the selection of the optimal access to the zones of the maxillary sinus to choose sinusitis treatment method, which allows minimizing intra- and postoperative complications. Methods. The results of studies of the paranasal sinuses of 30 patients conducted on the spiral computed tomography were studied: 10 with the subtotal reduction of pneumatization of the maxillary sinus and 10 patients with hyperplasia of the mucous membrane. The control group included 10 SCTs of healthy individuals. The average volume, bone density of the maxillary sinus, the average size of the inferior nasal turbinate, the size, density of processus uncinatus under physiological and pathological conditions, the correlation between these parameters were determined. Results. A significant correlation (r=0.96, 0.96, 0.95, and 0.9 in the physiological state and r=0.95, 0.94, 0.97, and 0.91 in sinusitis) was noted between the volume, thickness and the density of the walls of the maxillary sinus. A moderate correlation was between the volume of the sinus, the thickness and density of the processus uncinatus, the volume of the sinus and the longitudinal size of the inferior turbinate in the unchanged sinus (r=0.65, 0.68 and 0.66). A very strong correlation was between the thickness of the upper wall and the volume of the sinus (r=0.96). A strong positive linear relationship (r=0.72) is noted between the volume and thickness of the medial wall (p<0.05). The reliable (p<0.01) strong (r=0.75) interconnection was between the thickness of the processus uncinatus and the average sinus volume. Very strong linear correlation was between the density of the middle and upper walls of the maxillary sinus in physiological and pathological conditions (r=0.9 and 0.84) Conclusions. Spiral computed tomography is a diagnostically significant method for the study of the maxillary sinuses. Parameters of the paranasal sinuses necessary for successful endoscopic rhinosurgery were determined. The obtained data helps to choose access during endoscopic operations, to prevent intra-, postoperative complications, to predict the likelihood of intracranial or intraocular spread of the pathological process. Keywords: paranasal sinuses, maxillary sinus, density, processus uncinatus, inferior turbinate.
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There are both the one-to-many and many-to-one types of linear-feedback shift registers. In this paper we filled the gap between them. Our linear-feedback shift register has many-to-many configuration. It generates the Galois field different from finite field formed Galois linear-feedback shift register. We consider inference for appropriate primitive polynomial. Our principle can be implemented very efficiently on common microprocessors.
Anatomical prerequisites for the development of rhinosinusitis
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Anatomical prerequisites for the development of rhinosinusitis
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