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Copyright of Informatics & Mathematical Methods in Simulation / Informatika ta Matematičnì Metodi v Modelûvannì is the property of Odessa Polytechnic University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The problem of solving the task of discrete optimization is not completely solved. Lack of publications, scientific developments, algorithms and software products do not give the ability to transfer the mathematical apparatus of solving discrete optimization problems to the class P of computational complexity. All analytical and combinatorial algorithms for solving problems of linear and non-linear optimization are NP completeness. There are developments to improve the efficiency of robotic algorithms, they are filled with requests and actual ones. In this paper, it is proposed to use deterministic and probabilistic methods for forming a priority queue of decision vector components in order to assign positive values to them. After the formation of the variant of the solution, it is possible to vectorize as if the approached solution is taken away from the record value of the goal function, which in exact algorithms is like a solution, which results in a polyp. In this paper has a method for forming a priority line for concretizing the components of the solution vector. The basis of deterministic methods is the idea of a greedy algorithm. The location in the queue is determined by the value of the corresponding component of the cost vector. The appearance of the value of non-visibility in the system of restrictions increases the priority of the component. Behind such a way, another method of determination is modified. Probability assessment probability of priorities is based on the ideas of algorithms in an ant colony and simulated annealing. The scope of probability indicates the significance of the component - a contender for a positive value. A numerical example of a small variability of the task about a knapsack has been introduced, which demonstrates the imitation of a nearby solution. [ABSTRACT FROM AUTHOR]

Copyright of National Academy of Sciences of Armenia Reports / Doklady Nacionalnaâ Akademiâ Nauk Armenii is the property of National Academy of Sciences of the Republic of Armenia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Global technological transformations of key areas of life of contemporary society, the formation and active functioning of global and national digital institutions that influence current socio-political processes, and the digitalization of social relations form a demand for comprehensive scientific research on the processes of digital influence on the development and functioning of modern social systems. This article is aimed at considering the problem of the relationship between digital and worldview aspects of the functioning of modern societies. In connection with this, the research issue was to determine the degree and nature of the influence of digitalization processes, as well as directly the digital environment and institutions on the content aspects of the individual’s worldview. This research question is directly related to the study of the phenomenon of public consent in the context of the formation of digital polymentality. To answer the research question posed in the paper, the authors conducted a discourse analysis of the existing scientific literature on the relationship between digitalization and worldview in the pro et contra logic. An international expert study was also conducted, which made it possible to identify the main expert positions on the study, as well as the key risks, threats, and challenges in the field of preserving the traditional worldview and achieving public consent based on the unity of value-semantic and worldview ideas of individuals. The main conclusion of the paper is the fundamental ambiguity of the positions of scientists and experts, justified by the results of the study, in assessing the degree and nature of the influence of digitalization, the digital environment and institutions on the content parameters of the worldview of a modern person, as well as the ambiguity of the value-semantic attitudes formed and maintained in the digital environment.

Copyright of Radio Electronics, Computer Science, Control is the property of Zaporizhzhia National Technical University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Foreign Language Teaching is the property of Az Buki National Publishing House and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Preclinical physiological and biochemical studies of the effectiveness of the tested biologically active substances in the conditions of simulated pathology in laboratory animals are an important stage preceding the assessment of the clinical effectiveness of the created specialized foods for therapeutic or preventive nutrition. The aim of this work is a brief review of the developed algorithm for preclinical assessment of the effectiveness of specialized foods, which includes a set of sequential stages of testing the safety, stability, bioavailability and effectiveness of biologically active substances in experiments on laboratory animals. Results . The paper presents a brief review of methodological approaches for in vivo preclinical assessment of the effectiveness of minor plant biologically active substances - polyphenols from bilberry fruits and leaves and phytoecdysteroids extracted from spinach. A beneficial effect of bilberry leaves' polyphenols on carbohydrate and lipid metabolism of male Zucker and Wistar rats was shown, which determined the necessity to increase the effectiveness of the developed polyphenolic ingredient by sorption on a food carrier. When evaluating the in vivo effects of polyphenols from blueberries and leaves sorbed on buckwheat flour, a pronounced hypoglycemic effect was found. The experiments aimed to the assessment of the adaptogenic effects of phytoecdysteroids from spinach leaves showed a significant decrease in the content of the main biomarkers of the stress system, which indicates a «smoothing» of the response of the animal organism to a strong stress impact. Conclusion . The inclusion of minor biologically active substances into the composition of foods for preventive and therapeutic nutrition is the necessary condition to improve their effectiveness. The scientific and practical significance of the preclinical evaluation to a decisive extent depends on the presence of a correctly selected biomodel. Thus, the adequacy of the assessment of the effects of minor biologically active substances as functional food ingredients in the composition of the specialized food products depends on the reproducibility of pathological processes (clinical, biochemical and morphological disorders) characteristic for the studied disease on the selected in vivo model., Competing Interests: The authors declare no overt and potential conflict of interest related to the publication of this article., (Copyright© GEOTAR-Media Publishing Group.)

This paper proposes a method of comparative analysis of scientific trajectories based on bibliographic profiles. The bibliographic profile ("meshprint") is a list of MeSH terms (key terms used to index articles in the PubMed), indicating the relative frequency of occurrence of each term in the scientist's articles. Comparison of personalized bibliographic profiles can be represented in the form of a semantic network, where the nodes are the names of scientists, and the relationships are proportional to the calculated measures of similarity of bibliographic profiles. The proposed method was used to analyze the semantic network of scientists united by the academic school of the academician A.I. Archakov. The results of the work allowed us to show the relationship between the scientific trajectories of one scientific school and to correlate the results with world trends.

Copyright of Informatics & Mathematical Methods in Simulation / Informatika ta Matematičnì Metodi v Modelûvannì is the property of Odessa Polytechnic University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The task of path finding by an agent is one of the basic tasks and is of great practical importance. As a rule, this is an optimization task that is solved in the space of the state graph in order to minimize the length of the path. Such a task becomes more difficult and becomes even more popular if it is solved on the basis of one graph space by several agents. In this case, another practically important optimization parameter appears, which is expressed by the number of conflicts between agents. Such an abstract formulation of the task has numerous variants of formalization and a large number of approaches to its solution. In this paper, the main element of the approach is the application of the classic Dijkstra algorithm, which is executed sequentially by each agent. When finding the shortest route, each agent modifies the graph space in such a way as to reduce the probability of conflicts with subsequent agents. This approach is original and a number of computational experiments were performed to verify it using software developed for this purpose. The experiments that were conducted demonstrate the adequate behavior of the main algorithm. The work analyzes the limitations inherent in the proposed approach within the framework of the abstract formulation of the task. The directions of further development of the basic approach have been determined. [ABSTRACT FROM AUTHOR]

Copyright of Stratum Plus Journal is the property of P.P. Stratum plus and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Informatics & Mathematical Methods in Simulation / Informatika ta Matematičnì Metodi v Modelûvannì is the property of Odessa Polytechnic University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Sensor Electronics & Microsystems Technologies / Sensorna Elektronika i Microsystemni Tekhnologii is the property of I. I. Mechnikov Odessa National University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The paper gives an original algorithm for the management of patients with stable coronary artery disease, preserved/moderately reduced left ventricular systolic function, and high-grade ventricular arrhythmias from the first registration of the latter to the choice of treatment policy. Great attention is paid to the assessment of a private clinical case, by determining the nature of arrhythmias, and to the involvement of autonomic regulation in the genesis of ventricular arrhythmias. The importance of topical diagnosis of ventricular arrhythmias and identification of psychological disorders is emphasized. Diagnostic problems are solved in a step-by-step fashion using up-to-date techniques. The key point of the algorithm proposed is to prevent sudden cardiac death.

Until recently, intellectual creativity was considered as an exclusively human phenomenon and intellectual property legislation was built on the basis of motivating and enhancing human inventiveness. This self-evident assumption is being challenged due to the development of artificial intelligence technologies in the recent decades. In this article author analyzes some aspects of intellectual property law development, including the possibility of recognizing an artificial intelligence as a creator of intellectual activity results. The author examines the legal status of artificial intelligence under Armenian law and foreign intellectual property legislation, analyzes existing approaches to the legal regime and intellectual property ownership of objects created with the help of artificial intelligence. The paper aims to determine the proper right holder to content generated by artificial intelligence and formulate some policy prospects of artificial intelligence regulation. The methodological basis of the research includes general scientific and special legal methods. The author places particular emphasis on the dogmatic (doctrinal) research methods, which made it possible to analyze existing approaches to protection of intellectual property rights. The research is also based on the comparative legal method and analytical legal method of commenting current law of Armenia and foreign countries. The results of the study allow author to substantiate that the actual right holder to the content produced by the neural network is the programmer of the underlying algorithm system. The author concludes that the construction of a solid legislative system should be carried out taking into account the specifics of the areas of application of artificial intelligence, ensuring a balance between the interests of individuals, society and the state related to the development of innovative technology.

At a time when the use of digital content in all spheres of life is constantly growing, the ability to verify the authenticity of digital files, in particular digital images, is extremely important in protecting information from integrity violations. In the information war, photo fakes are always used to achieve certain, often criminal, goals. Both society as a whole and individuals must take care of information security and protect their information space from unverified information. Modern methods of detecting violations of the integrity of graphic information to some extent address some issues of information security, however, they are not universal and often require development, improvement, additional research and so on. Thus, existing methods for detecting such a common method of image falsification as scaling are effective only in cases where the falsified part is enlarged, however, when reducing part of the image, they are not effective. Moreover, in open printing the problem of detecting reduced scalable parts of the image is not covered. Therefore, the aim of this work is to increase the efficiency of scaling detection as digital image falsification by developing an algorithm for detecting scaling with a negative coefficient. In this paper, the method of error level analysis is adapted to detect reduced parts of the digital image. The efficiency of the adapted method in terms of errors of the 1st and 2nd kind was: errors of the 1st kind - 2%, 2nd kind - 7%. In addition, it has been found that this method is also effective in detecting simultaneously scalable (reduced) and moved parts of a digital image. This method detects artifacts (errors) in the digital image, which occur when reducing its part - the falsified area has a higher high-frequency component than the rest of the image, which is amplified under the influence of compression after saving the falsification in a lossy format. [ABSTRACT FROM AUTHOR]

Very often, outputs provided by GIS functions and analysis are assumed as exact results. However, they are influenced by certain uncertainty which may affect the decisions based on those results. It is very complex and almost impossible to calculate that uncertainty using classical mathematical models because of very complex algorithms that are used in GIS analyses. In this paper we discuss an alternative method, i.e. the use of stochastic Monte Carlo simulations to estimate the uncertainty of flow accumulation. The case study area included the broader area of the Municipality of Cacak, where Monte Carlo stochastic simulations were applied in order to create one hundred possible outputs of flow accumulation. A statistical analysis was performed on the basis of these versions, and the "most likely' version of flow accumulation in association with its confidence bounds (standard deviation) was created. Further, this paper describes the most important phases in the process of estimating uncertainty, such as variogram modelling and chooses the right number of simulations. Finally, it makes suggestions on how to effectively use and discuss the results and their practical significance. [ABSTRACT FROM AUTHOR]

Subject of Research. Defect detection is an actual and challenging task in the field of additive technologies. This process enables the user to save time and reduce the consumption of material. Also, it prevents the further possible faults and defects. On that account, an automation of surface control process in 3D-printing is an essential step not only for large manufacturing companies but also for private users. The paper proposes an image-based method for quality control of a 3D-printed product by applying machine learning algorithms. Method. 3D-printed item images were taken and processed on an experimental setup composed of a camera and a single board microcomputer. The paper presents a defect detecting method based on development of image preprocessing algorithms and further machine learning by applying support vector machine method. Main Results. The presented method enables the user to find and identify “over-extrusion” and “under-extrusion” defects with high precision on the surface of the manufactured items. Practical Relevance. The developed method is intended to provide practical benefits for the private users of 3D-printing devices and companies manufacturing or applying these devices. There are the following advantages of the method application: the 3D-printing parameters are easy to be set, the reports about the product and its features are saved, the solutions to any problem occurred during printing are simple and fast. The developed method of visual quality control of the 3D-printed item surface can be significantly helpful to the expansion of automation possibilities for fast prototyping processes and take 3D-printing process to a new level.

Objectives: Partial errors⁃in⁃variables (PEIV) model is a more general form of errors in variables (EIV) model. It has been widely used in the data processing of global navigation satellite system (GNSS), coordinate conversion, deformation monitoring and data fitting in the past ten years.Methods: First, the development history of PEIV model is reviewed. Then, five core problems of PEIV model are summarized and analyzed, including parameter estimation algorithm, precision estimation, random model estimation, expansion algorithm and data processing application. Finally, the applications of PEIV model are outlined. Results: We point out three questions for further research, including how to process big data by PEIV parameter estimation method, how to correct the bias of weighted total least squares(WTLS) adjustment by sampling method, and how to derive the formula of higher order parameter estimation covariance matrix are.Conclusions: This review paper aims to further promote the development of surveying and mapping da⁃ ta processing and provide readers with suggestions and references. [ABSTRACT FROM AUTHOR]

The paper proposes an original algorithm for the management of patients with ventricular arrhythmia from its first registration to choice of treatment policy. Using modern diagnostic methods, much attention is paid to the identification of myocardial structural and ischemic changes and also to the involvement of the autonomic and central nervous systems in ventricular arrhythmogenesis. The diagnostic problems are solved step-by-step. The role of psychological diagnosis is accentuated. Longitudinal electrocardiogram monitoring with telemetric data transmission can promptly initiate treatment of patients in an outpatient setting and, in a number of cases, without discontinuing work. The key point of the algorithm proposed is to prevent sudden cardiac death.

In this paper, we work with some different variants of finite automata, each of which corresponds to an infinite iterative tree constructed for some given morphism. At the same time, each of the automata constructed for a given morphism describes the main properties of this morphism. Besides, in each case (i.e., for each variant of the automaton), the following “inverse problem” also arises: to describe the morphism (or simply specify a pair of languages) for which such a given automaton is obtained. We present a computer program for constructing one such automaton, so-called PRI automaton. After that, we consider a detailed example of a PRI automaton for a pair of different languages. Continuing to consider this example, we use the last automaton to perform usual transformations described and repeatedly applied in our previous publications, i.e., the determination and canonization of the mirror automaton for possible application of the results obtained in the algorithm for minimizing nondeterministic automata. In the considered situation, such a minimal automaton is another automaton constructed on the basis of a given morphism tree, a nondeterministic automaton, the so-called NSPRI# automaton, and we also show the equality of these automata (which implies the equivalence of PRI and NSPRI#) in the paper by an example. Based on the NSPRI# automaton, a non-deterministic NSPRI automaton is constructed using a trivial (but non-equivalent) transformation; a detailed study of this automaton is expected in future publications. Examples of PRI and NSPRI# automata for pairs of matching languages are also of interest, we also give one such example in this paper.

Copyright of Electrical Engineering & Electromechanics is the property of National Technical University, Kharkiv Polytechnic Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the present paper the dynamics of the nonlinear conformational excitations--kinks, in inhomogeneous polynucleotide DNA chains is investigated. To calculate the kink rest energy E0 and its length d the method of dynamical interval is used. This makes it possible to take into account that all coefficients of the model dynamic equation--the sine-Gordon equation depend on the sequence of bases. It is shown that the method gives an opportunity to calculate dynamical characteristics of any artificial and real sequences that is important for implementing tasks associated with the search and analysis of functionally important DNA sites.

The paper analyzes the most important clinical studies dealing with the measurement of procalcitonin concentrations in patients with lower respiratory tract infections or sepsis. Procalcitonin is a marker of bacterial infection, which is successfully used for diagnosis and antimicrobial therapy monitoring in patients with pneumonia or in septic states. The review presents the latest algorithms for interpreting the concentrations of procalcitonin in clinical practice.

The paper studies antiatherogenic changes of serum lipid profile in various conditions, namely: 1) the mountain and climatic treatment on Caucasian resorts, 2) periodic hypobaric therapy, 3) trekking in mountains with regular cold tests (the Tibetan yoga gTum-mo). We made the comparison of rate of change of serum total cholesterol, high (HDL), low (LDL) and very low density (VLDL) lipoproteins, and also triglycerides by use of exponential model of changes of lipid profile. By application of new computing algorithm it was proved that the maximal rate of antiatherogenic changes of serum lipid profile (decrease in the total cholesterol and in LDL, increase in HDL) is characteristic for a combination of three conditions: 1) moderate altitude hypoxia, 2) moderate physical activities and 3) special exercises for increase of cold tolerance (the Tibetan yoga gTum-mo).

Review of literature dealing with fractures of frontal bone involving frontal sinus is presented. 3 cases of successful surgical treatment of different frontal sinus injuries are reported in the paper. The author demonstrates importance of selection of correct surgical tactics for primary reconstruction of frontal bone using craniofacial osteosynthesis. The key moment of surgical procedure is making a decision about preservation or elimination (obliteration or cranialization) of the frontal sinus which should be based on meticulous analysis of symptoms and CT data preoperatively and intraoperatively. Special attention should be paid to application of pericranial flap for closure of fractured posterior wall of the frontal sinus. Original technique of using a split pericranial pedicled flap for isolation of dura from sinus and stimulation of reparative osteogenesis is described.

In the paper the associative analysis as a Data Mining technique is investigated. The properties of the algorithms for extracting the associative rules is analyzed and compared. The associative analysis is used for discovering and exploring hidden and interesting relationships between items in large amounts of data. The extracted patterns are presented in the form of association rules or sets of frequent items. The associative rules are represent in the form IF A then B. For studying of various algorithms is used open source software RapidMiner. [ABSTRACT FROM AUTHOR]

The paper gives an algorithm for qualified care given to victims in the first hours and days after the moment of ocular injury. It outlines resuscitation of a severe injured eye and a possibility of combating any complications of traumatic disease at the present stage. Based on their many years' experience, the authors have developed and present a multifaceted system of measures to provide the victim with intensive care in combination with adequate surgical and pharmacotherapeutic correction, which enables one to preserve the organ of vision and to have good functional and cosmetic results, which is of not only great clinical, bur also social value.

Knowledge of 3D-structure of protein-ligand complex is a major prerequisite for understanding the functioning mechanism of cellular proteins and membrane receptors. This is also of a great help in rational drug design projects. In the present paper we briefly review the molecular docking approaches used to predict possible orientation of a ligand in the protein binding site. The recent trends to improve the accuracy and efficiency of docking algorithms are demonstrated with the results obtained in Laboratory of Biomolecular Modeling. Particular attention is paid to protein-ligand hydrophobic and stacking interactions responsible for molecular recognition of ligand fragments. Such type of interactions are not always adequately represented in scoring criteria of docking applications that leads to mismatch in 3D-structure complexes predictions. That is why further inquiry of methods to account for these interactions is now the area of active research.

The paper presents a detailed analysis of 27700 patients with ocular injury who received a therapeutic-and-diagnostic care at the first specialized stage. The specific features of an oculist's care in an intensive care unit and the required volume of diagnostic studies in different types of posttraumatic pathology of the eye and its appendages are defined. Indications for emergency hospitalization in fresh trauma and sequels are presented. Algorithms of treatment have been developed and are recommended in relation to the pattern and severity of injuries of the organ of vision.

The paper presents results of testing a modified algorithm for predicting virus ID50 values in a host of interest by extrapolation from a model host taking into account immune neutralizing factors and thermal inactivation of the virus. The method was tested for A/Aichi/2/68 influenza virus in SPF Wistar rats, SPF CD-1 mice and conventional ICR mice. Each species was used as a host of interest while the other two served as model hosts. Primary lung and trachea cells and secretory factors of the rats' airway epithelium were used to measure parameters needed for the purpose of prediction. Predicted ID50 values were not significantly different (p = 0.05) from those experimentally measured in vivo. The study was supported by ISTC/DARPA Agreement 450p.

Knowledge of the spatial structure of proteins is a prerequisite for both awareness of their functional mechanisms and the framework for rational drug discovery and design. Meanwhile, direct structural determination is often hampered or impractical due to the complexity, expensiveness, and limited capabilities of experimental techniques. These issues are especially pronounced for integral membrane proteins. On numerous occasions, the theoretical prediction of protein structures may facilitate the process by exploiting physical or empirical principles. This paper surveys modern techniques for the prediction of the spatial structure of proteins using computer algorithms, and the main emphasis is placed on the most "complex" targets - membrane proteins (MPs). The first part of the review describes de novo methods based on empirical physical principles; in the second part, a comparative modeling philosophy, which accounts for the structure of related proteins, is described. Special focus is made regarding pharmacologically relevant classes of G-coupled receptors, receptor tyrosine ki-nases, and other MPs. Algorithms for the assessment of the models quality and potential fields of application of computer models are discussed.

Chronic viral hepatitis B (CHB) is one of the main causes of chronic diffuse diseases of liver. CHB virus (HBV) is identified in 350-400 mln subjects or 5% of the Earth's population including 2.1 mln Russian residents. HBV carriers are at high risk of cirrhosis, hepatic insufficiency and carcinoma which accounts for the estimated 25-40% mortality rate among the infected subjects. The paper presents data on epidemiology and pathogenesis of CHB, its diagnostic and treatment with the use of modern technologies and antiviral agents.

Results of clinical studies recently became the guidelines in decision making in medicine including surgical practice. Results of each study could be used generally only if all methodological requirements are fulfilled. In this paper the principles of clinical studies design particularly in surgery and medical publications analysis are described and discussed.

The paper presents the experience in testing virtual colonoscopy on examining patients with colonic diseases. The potentialities of virtual colonoscopy in imaging tumors, polyps, diverticula, and strictures of the colon are assessed. The place of the procedure in the algorithms of examination of patients is defined. Its advantages and disadvantages are preliminarily estimated.

Identification of groups of co-regulated genes (regulons) is an important part of studying transcriptional regulation. One possible approach is to cluster regulatory sites that were found using experimental or computational techniques, such as phylogenetic footprinting. This strategy doesn't require a priori knowledge about co-regulation and allows finding putative new members of known groups of co-regulated genes (i.e. a new regulon). Also, it allows finding new putative regulons, which is especially important for poorly annotated genomes. We have developed ClusterTree-RS, an algorithm for clustering regulatory signals using binary trees; it is presented in this paper along with some testing results on simulated and real data. The algorithm is implemented in Java and took about 2 hours 40 minutes to cluster 1500 input signals on a computer with AMD Athlon 1.91 GHz CPU.

The paper deals with the development and substantiation of various neurophysiological procedures during preoperative examination of patients with symptomatic epilepsy. The neurophysiological findings of 133 patients with drug-resistant temporal lobe epilepsy were applied. Unprogressive damage to the medial portions of the temporal lobe was verified in 18 patients. Low- and higher-grade malignancy of the temporal lobe was confirmed in 91 and 24 patients, respectively. This yielded an algorithm of the optimum neurophysiological preoperative examination. Emphasis is laid on the differences in applied procedures depending on the side of organic lesion location. Thus, the use of the developed algorithm makes it possible to lighten the selection of candidates for surgical treatment of drug-resistant symptomatic epilepsy and to optimize the examination of epileptic patients with different types of brain damage.

Computerized systems of data processing are a high-efficiency tool for the storage and processing of big volumes of molecular genetic data as well as for the forensic medical identification of personality in events involving enormous unidentified bodies coming from zones of calamity or natural disaster. Described in the paper is a sequence of actions undertaken by the expert when the DNAdacto and mDNAbase soft tools are in use. The algorithm of computer-based expert analysis of typing of chromosome and mitochondrial DNA was tested at the 124th Central laboratory of medical-criminal identification of Russia's defense ministry; it was proven to be highly effective for identification made in events with numerous unidentified bodies.

The paper discusses the influence of lung anomalies on the progress of congenital heart diseases (CHD) in infants, as well as diagnostic value of radiography and ultraspeed computed tomography (CT). The four-year experience of the authors includes preoperative examination of 178 infants with CHD (mean age 5.8 +/- 0.6 months, mean weight 5.2 +/- 0.3 kg). Lung anomalies were determined in 24 patients (13.5%) on plain films and in 85 patients (47.8%)--by means of CT. The stenosis of main bronchi in combination with lobar emphysema and lung hypoplasia were found to be the most frequent and severe predictors of respiratory disorders. The obtained data suggest that CT examination may be recommended in infants with CHD for precise diagnostics of associated lung anomalies and further prevention or early management of respiratory complications.

A detailed algorithm of forensic-histological examinations supplementing "The Instruction on organization and execution of examinations by Bureau of forensic-medical expertise" is suggested in the paper. The algorithm envisages examination of the preparation in flow light without microscope, identification of an organ and/or tissue as well as an evaluation of the integrity of histo-architectonics and of the pronouncement degree of cadaveric changes. A regulated description of the preparation is recommended by using the generally accepted terminology; peculiarities related with examination of different organs are elucidated. Features, which are most informative in solving the forensic-medical issues, are specified. Methodological approaches to formulating the forensic-histological diagnosis are defined with respect to diagnosis specificity.

Described in the paper is a method of data deconvolution of ultrasound scanning (solution of the deconvolution equation in the linear metric) that ensures a higher precision of images being restored versus the traditional Wiener filtering. Simplex algorithm with an originally modified efficiency function was used to solve the task. The results of experiments testifying to the efficiency of algorithms in the ultrasound image processing of the mammary gland of a patient are presented.

Described in the paper is a combined method of estimating the functional condition of the autonomous nervous system, which makes it possible to assess the original condition, the level of functioning in response to the load and the results of the activity of the autonomous nervous system targeted at maintaining the homeostasis. The integrated estimation of a functional state of the autonomous nervous system in a clinic provides for obtaining the detailed information on the state of patients and can be applied in clinical practice to evaluate objectively the patients' condition.

Comparative assessments of the efficiency and noise immunity of the algorithms detecting the shock cardiac rhythms (SCR) are described in the paper. It is suggested to use the rejection filter of ventricular fibrillation as the principle algorithm for the SCR detection in an automated external defibrillator. The use of the method combining the after-threshold interval and the method of spectral analysis is demonstrated to be preferable for a portable external defibrillator.

Described in the paper is a reconstruction algorithm for special distributions of optical parameters of biological objects based on the non-stationary axial model of radiation transport in case of proportionality of the absorption and scattering coefficients. The proportionality coefficient, used in reconstruction, is shown to influence a precision of images being restored. The appropriate recommendations are defined of how to diminish the occurring distortions.

Described in the paper are the results of a 15-year monitoring (1986-2001) of HIV patients at the Clinic of the Institute of Immunology, Federal Department "Medbioextreme", Russia's Health Ministry. The gathered experimental data, including the immunologic, biochemical and general-clinical parameters, were comprehensively analyzed. Optimal schemes of complex HIV monitoring were designed to ensure a comparative and dynamic study of different clinical-and-laboratory indices for the purpose of defining the HIV-induced pathogenesis specificity and adequate therapeutic approaches.

Image formation in gamma-ray cameras is made by defining scintillation coordinates, produced by the absorption of gamma-quanta. By the present time different methods for scintillation coordinates defining have been developed based on previously measured and calculated amplitude-spatial features of a photodetector. The paper gives a method for estimating scintillation coordinates without any prior information. The method is based on approximation of the photodetecor response surface, located at the output window of permanent scintillation detector, on the scintillation light distribution function. For the approximation bicubic smoothing splines were used, which weight coefficients are set based on statistical features of measurement results. The paper proposes the approximation algorithm, taking into account geometry of photodetectors distribution at the output window of detector in the points of trigonal lattice. The algorithm can be applied in gamma cameras and other systems of gamma-rays imaging when using detectors such as gamma cameras. Relatively high computational intensiveness as compared to the Anger's method makes the proposed method more appropriate for off-line processing of accumulated data aimed at improving the image quality. [ABSTRACT FROM AUTHOR]

Despite the wide spread of computing devices and mathematical optimization methods in various fields of knowledge, little attention is paid to optimization of solving the problems of labor safety. In the author's opinion the promising solution is developing the methods of sound-absorbing cover optimization based on non-linear programming, one of which has been the objective of the work. The method for estimation of the optimal cover in premises with multi-tone noise conditions is proposed in the paper. Different noise tones can be absorbed by different materials with the most suitable properties. The method is based on random selection of surface area values of different materials, with further selection of the optimal cover. The paper gives the estimation algorithm and the obtained results using the Mathcad computer program. The estimation results indicate the regularities of achieving the optimum and a significant economic effect. The proposed estimation method and algorithm can be used for taking labor safety measures for noise reduction, namely, sound-absorbing covers design for production facilities. The paper has a scientific novelty, based on random selection of materials surface area values, and practical significance based on economic effect and working conditions improvement. [ABSTRACT FROM AUTHOR]

This paper contains the results of studies of the cognitive model developed information technology interdependence and interrelation of complex technical systems to assess their vulnerability. A general block diagram of a ship interconnectedness of complex technical systems. The interaction of ship power plant units, the power supply system of the ship and ship's auxiliary systems in extreme emergency situations. Based on the results of research developed an information processing model of cognitive functioning marine interdependence of complex technical systems. In accordance with the established algorithm vulnerability assessment information elements of the cognitive model calculated the coefficients of the structural vulnerability of its elements. The calculation results have allowed to identify the most critical elements of the model in terms of reliability. The results of research and development will improve the efficiency of operation of complex technical systems that provide high-quality prediction of the reliability of their operation in extreme emergency situations. [ABSTRACT FROM AUTHOR]

This paper is devoted to steganalysis algorithm determining presence a secret message embedded into digital image which is stored in compressed or uncompressed form. The algorithm is based on the analysis of pairs of colors and uses the method of modifying the least significant bit. [ABSTRACT FROM AUTHOR]