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The article presents the basics of the method of correlation spatial-frequency filtering of maps of phase distributions of polyethylene films. Using the method of statistical analysis of the structure of spatial-frequency filtered polarization maps of polymer films, a set of methods and criteria for diagnosing changes in the birefringence of packaging materials has been substantiated and tested. A comparative analysis of a set of statistical moments that characterize the maps of polarization azimuths, as well as images of a large-scale (linear birefringence) grid of crystals, also revealed certain differences between them. The distribution histograms of polarization images of polyethylene polymer films from group 1 have a more asymmetric construction with a sharp kurtosis compared to the similar distribution of the indicated polarization image parameter of polymer films from group 2. The main features of the coating manifested themselves in a larger ordered structure of whiskers of films from group 1 and lower for group 2. Such a geometric design of the polycrystalline component manifests itself in the formation of the priority, most probable among all possible values of the polarization azimuth, the totality of which forms the main extremum. The method of polarization mapping of optically inhomogeneous polycrystalline lines of polymer films onto polyethylene with spatial-frequency filtering of the coordinate distributions of the laser vibration polarization azimuth on the Fourier plane is substantiated analytically. A comparative analysis of the effectiveness of the methods of direct polarization mapping and spatial-frequency selection in the differentiation of the distributions of the azimuth and ellipticity of the polarization of laser radiation, which is transformed by grids of polymeric polyethylene films, is presented., У статті наведено основи методу кореляційної просторово-частотної фільтрації карток фазових розподілів поліетиленових плівок. Використовуючи метод статистичного аналізу структури просторово-частотних фільтрованих поляризаційних карт полімерних плівок, обґрунтовано та апробовано комплекс методів та критеріїв діагностики зміни двопроменеломлення пакувальних матеріалів. Порівняльний аналіз набору статистичних моментів, що характеризують карти азимутів поляризації, а також зображень великомасштабної (лінійного двопроменеломлення) сітки кристалів, також виявив певні відмінності між ними. Гістограми розподілу поляризаційних зображень полімерних плівок поліетилену з групи 1 мають більш асиметричну побудову з різким ексцесом порівняно з аналогічним розподілом зазначеного поляризаційного параметра зображення полімерних плівок з групи 2. Основні особливості покриття проявилися в більш упорядкованій структурі нижньоподібних кристалів плівок для групи 2. Така геометрична конструкція полікристалічної компоненти проявляється у формуванні пріоритетного, найбільш вірогідного серед усіх можливих значень азимуту поляризації, сукупність яких утворює головний екстремум. Аналітично обґрунтовано метод поляризаційного відображення оптико-неоднорідних полікристалічних ліній полімерних плівок на поліетилен із просторово-частотною фільтрацією координатних розподілів азимуту поляризації лазерної вібрації на площині Фур’є. Наведено порівняльний аналіз ефективності методів прямого поляризаційного картографування та просторово-частотної селекції при диференціації розподілів азимуту та еліптичності поляризації лазерного випромінювання, яке перетворено сітками полімерних поліетиленових плівок.

Hypertension or high blood pressure is also called a “silent killer” that may lead to serious damage to the heart and kidney. The worst case can result in sudden death. Unbalanced diets are one of the risk factors for hypertension. Previous studies have proven that diet plays a significant role in influencing hypertension patient condition. Proper planning on the selection of diets needs to be done to control food intake for this cardiovascular disease patient. This study aims to formulate a mathematical model of diet planning for hypertension patients. Specifically, this study attempts to determine the amount of nutrients need by hypertension patients, to find the cost of the food combination, and to identify the best model between linear programming and integer programming. The research model included 10 types of food groups with 200 variables based on Malaysian recipes and developed a mathematical model using two programming techniques; linear programming and integer programming. The finding showed that the solution provided by the entire programming method has met the constraints and requirements of the food group. The results from the integer programming approach would offer optimal and efficient alternatives to diet planning for patients with hypertension. It can serve as a guideline for hypertension patients on type of food to eat and the correct amount of serving to complete their nutritional plan.

How to choose the optimal project portfolio based on the enterprise objectives is very important for the survival and development of an enterprise. However, the current portfolio analysis needs to be improved in the aspects of interaction effect analysis, multichoice target planning, and method simplicity and practicability. The method of portfolio selection proposed in this study takes into consideration the complex interaction within the portfolio, which makes up for the deficiency of the existing research on portfolio selection. This paper illustrates the application of the multichoice object programming method in the analysis of the combination of two-project and three-project interaction effects by a series of examples. The results show that the method is applicable in portfolio evaluation. The method of multichoice goal programming of the interaction effect provides the basis for enterprise to measure the complex relationship within the portfolio and also provides a new method and idea for the selection of the enterprise project portfolio.

Objective. To develop methods for a rapid distance computer diagnosis of COVID-19 based on the analysis of breath sounds. It is known that changes in breath sounds can be the indicators of respiratory organs diseases. Computer analysis of these sounds can indicate their typical changes caused by COVID-19, and can be used for a rapid preliminary diagnosis of this disease. Materials and methods. The method of fast Fourier transform (FFT) was used for computer analysis of breath sounds, recorded near the mouth of 14 COVID-19 patients (aged 1880 years) and 17 healthy volunteers (aged 548 years). The frequency of breath sound records ranged from 44 to 96 kHz. Unlike the conventional methods of computer analysis for diagnosis of diseases based on respiratory sound studying, we offer to test a high-frequency part of FFT (20006000 kHz). Results. While comparing the breath sound FFT in patients and healthy volunteers, we developed the methods for COVID-19 computer diagnosis and determined the numerical criteria in patients and healthy persons. These criteria do not depend on sex and age of the examined persons. Conclusions. The offered computer methods based on the analysis of breath sound FFT in patients and volunteers permit to diagnose COVID -19 with relatively high diagnostic parameters. These methods can be used in development of noninvasive means for preliminary self-express diagnosis of COVID-19.

Relevance. In patients suffering from defects in the organs of the maxillofacial region, often the most acute problem is not so much the problem of dysfunction, but rather unsatisfactory aesthetics. The loss of a particular organ of the maxillofacial region leads in many cases to become the cause of persistent disorders on the part of psychoemotional problems [1–3]. In the modern world, the face is the main "visiting card" of a person, most attracting attention from the people around him. The presence of one or another defect in the maxillofacial region forms a number of psychological problems in the patient, causing a feeling of shame from his inferior appearance. Materials and methods. The literature analysis of the applied methods of ectoprosthetics in the maxillofacial region was carried out. Results and discussion . Comparing the traditional and computer methods of making facial epitheses, one should note a common similarity – the laboriousness of the process, which requires an excellent understanding of the anatomy of the maxillofacial region, fluency in computer software. Having analyzed a large amount of foreign literature, I would like to emphasize that the success of the performed ectoprosthetics largely depends on a clear and complete visualization of the clinical picture as a whole, without focusing on a specific organ. This is the key condition for creating a harmonious aesthetics of the face and the entire appearance of the patient after the treatment as a whole. The restored harmonious appearance of the patient's face will allow for faster adaptation in society. Currently, it is not possible to unambiguously determine the best method. A decrease in the speed of production and the optional availability of medical education, according to a number of authors [4, 5, 16, 18, 19], are the motive for the choice and widespread introduction of CAD/CAM technologies, while some scientists [28] doubt their effectiveness. However, it is worth remembering that the result of the treatment is important for the patient, not the method itself, and only this is the result of his final assessment.

A combinatorial topological analysis and modeling of the self-assembly of crystal structures of LiCaSn-hP9 (space group P3m1, V = 230.36 A3), Li2CaSn- cF16 (space group Fm-3m, V = 333.56 A3), and Li20Ca28Sn44-oS92 (space group Cmcm, V = 2517.09 A3) are performed using computer methods (ToposPro software package). The cyclic precursor clusters K3-0@LiCaSn involved in the self-assembly of the crystal structure of LiCaSn-hP9, as well as tetrahedral ones K4 for the crystal structure of Li2CaSn-cF16 and cyclic K3, tetrahedral K4, and pentagonal pyramids K6 for the crystal structure of Li20Ca28Sn44-oS92, are established. The self-assembly of the crystal structure of Li20Ca28Sn44-oS92 involves $${\text{S}}_{3}^{1}({\text{A}})$$ primary chains from the bound clusters K6 and K3, and $${\text{S}}_{3}^{1}({\text{B}})$$ primary chains from the bound clusters K4 and K3. In the 2D layer, an $${\text{S}}_{3}^{1}({\text{A}})$$ chain with m symmetry is bound to the $${\text{S}}_{3}^{1}({\text{B}})$$ chains on both sides. The framework $${\text{S}}_{3}^{3}$$ structure is formed by binding 2D layers in the direction [100], whereas the distance between the equivalent 2D layers determines the value of vector a = 4.666 A. The $${\text{S}}_{3}^{1}$$ primary chain of the intermetallic compound Li2CaSn-cF16 is formed as a result of the binding of tetrahedral metal clusters Li2CaSn with the binding index P = 8. The formation of the $${\text{S}}_{3}^{2}$$ layer occurs by binding parallel chains with the index P = 10. The distance between the axes of the primary chains from neighboring layers in the direction of axes X and Y corresponds to the value of the parameters of the cubic cell a = b = 6.935 A. The $${\text{S}}_{3}^{1}$$ primary chain of the intermetallic compound LiCaSn-hP9 is formed as a result of the binding of the cyclic LiCaSn metal clusters with the binding index P = 4 and 5. The $${\text{S}}_{3}^{2}$$ layer is formed by binding parallel chains with the binding index P = 10. The distance between the axes of the primary chains corresponds to the value of the parameter of the hexagonal cell a = 4.94 A.

The application of the Jamus Tea motif batik theme in the interior design of Candi Loka Restaurant in Ngawi is an effort to accommodate the needs of visitors to the Jamus Tea Plantation tourism object to enjoy the processed tea. This work aims to create a comfortable interior design of Candi Loka Restaurant and apply a contemporary style. In this work, the theme of the Jamus Tea batik motif is applied through the Kurtz programming method. The result of this work is the interior design of Candi Loka Restaurant, which includes lobby facilities, dining area, teashop, workshop and education area, management office, kitchen, rest area, warehouse, prayer room, and toilet. The results of this work can be a reference for interior designers in designing contemporary interior concepts based on local wisdom

Due to the continuous development in society and the multiplicity of customers' desires and their keeping pace with this development and their search for the quality and durability of the commodity that provides them with the best performance and that meets their needs and desires, all this has led to the consideration of quality as one of the competitive advantages that many industrial companies compete for and which are of interest to customers and are looking for. The research problem showed that the Diyala State Company for Electrical Industries relies on some simple methods and personal experience to monitor the quality of products and does not adopt scientific methods and modern programs. The aim of this research is to design a system to monitor the production quality of the transformer (400/11 KVA) through the use of a method that helps to make decisions of a quantitative multi-objective nature, which is the method of lexicographic goal programming that the researcher used to integrate the preferences of the decision-maker in monitoring the quality of the production of the transformer (400/11 KVA). Using the two programs (Excel and Lingo) in constructing and solving the mathematical model that was applied in the sections (outer and inner iron core, winding and isolating, final assembly and quality control). The results obtained were efficient, as they achieved the least possible deviations from all the target values ​​for all goals

Reading is one of the basic skills that must be mastered by everyone. However, the reading rate of people in Indonesia is very low. In fact, literacy conditions in Indonesia are now in crisis, which is also called a literacy emergency. Increasing interest in reading in the younger generation in Indonesia today is really important amidst so many technologies that are very rapidly developing. Therefore, Indonesia is currently so active at making movements to increase interest in reading. The purpose of this Community Library is to increase the reading interest of Indonesian people while providing adequate facilities for reading for the community. The design of Community Library uses architectural programming method. The process of this method is divided into two stages consisting of preparing a program that is an activity of analyzing data that led to architectural problems and designing designs that can solve problems. The digitalization of books can be used as a way to increase the children and adults interest in reading again. However, that still feels lacking, because it requires a more efficient steps that can further influence the interest in reading and attract the attention of the public to e interested in reading. One way to attract the reading interest of public to be interested in reading is to turn the library into a creative reading place. This is what underlies the thought of the Community Library. Creating a Community Library with the concept of Recreation Space is expected to help change people's view of reading which was boring to be fun. The design is a comfortable, varied, and fun reading space with complete facilities.

This letter describes the design optimization of a flash memory cell that uses source-induced band-to-band hot electron (SIBE) injection programming method. The programming efficiency is determined by the tunneling current to the floating gate, which is shown to be dependent with the gate length covered width. Optimal gate length covered width is empirically studied in this work through simulation, and we are able to observe more than an order of magnitude increase in the programming efficiency which tremendously reducing the total power consumption of the flash memory.

Classifications of methods for analyzing the structure of painting canvas, and fabrics in the textile industry are constructed within the framework of the ontology for the subject area of attribution and restoration of paintings. The limited variety of practically applied methods in painting by x-ray analysis, and the perspective of the method of analyzing the texture of the canvas in reflected rays under directed lighting are noted.

The subject of this research is the interdisciplinary legal and computer research tools and methods. The authors substantiate the interdisciplinary (legal-computational) methodology for automated analysis and assessment of qualitative changes in legislation and law enforcement practice. Interim results of the research project that are of methodological nature and cover methodological paradigm, principles, means and methods of scientific research are provided. The formulated conclusions represent a summary of heuristic search and computational experiments carried out in the domain field of administrative tort law, as well as comprehension of the process and results of research from both, legal and computer perspectives. Explanation is given to the interdisciplinary paradigm in the indicated methodological area. Leaning on the empirical evidence and observations, the author formulates the three research principles: principle of heterogeneity of domain, principle of discreteness of legal practice, and principle of identity of the model. As the key research tools, the author substantiates and tests in computational experiments the scientific information-analytical system, mathematical and social indicators have been developed, justified and tested in computational experiments. Computer methods (knowledge modeling, natural language processing, machine learning) that ensure automation of identification and usage of indicators mate with the dogmatic method, systemic analysis and expert assessment responsible for legal interpretation of computations. The legal and computer tools are determined for identification and usage of the principal indicators. In conclusion, the author outlines a number of problems and restrictions determined in the course of the conducted research.

Active development of Internet communication in recent years caused an increase in the number of forensic text examinations aimed at identifying and profiling (i.e. inferring gender, age, personality, etc. of the author from textual analysis) the author of written texts. Despite the availability of proven methodological recommendations for the production of such examinations, in this area there are many unresolved problems associated mainly with the emergence of new research objects. In addition, the existing expert practice does not fully utilize the achievements of corpus, computer, and quantitative linguistics. In this situation, there is a gap between the "qualitative" and "quantitative" methods of textual authorship analysis, which hinders further development of both theoretical research in the area of authorship attribution and profiling and an increase in the level of objectivity and reproducibility of forensic authorship analysis. The paper represents some typical tasks solved by a forensic expert; describes the characteristics of the objects of forensic authorship analysis, and determines the main difficulties forensic experts face in the course of this analysis. The possibilities of using existing computer methods to solve these tasks are analyzed. It is shown that not all the existing computer methods are useful for forensic authorship analysis. We also highlight the ways of development of forensic authorship analysis related to further theoretical research in the field of idiolect using corpus data and natural language processing techniques.

The rapid development of technology and information lately affects the way we do things. Along with the existence of remote communication technology makes the work can be done remotely (teleworking). This is the reason for the changing way students learn lately. Students can study anywhere As a result is the decline of academic culture in the campus area because students choose to do learning activities off campus. However, Lambung Mangkurat University as a college has not been able to accommodate the maximum student learning activities outside of college time. Therefore, the Learning Center is needed as a support for learning and academic culture in the campus area. The architecture programming method was chosen as the design method. Programming architecture method is divided into five processes namely goals, facts, concept, needs, and problems. Architectural programming methods pay close attention to the problems in design. Generation Z is the dominant generation in universities today so the trend of learning Generation Z becomes a reference in design. Flexible Learning concept is a Learning Center concept that accommodates students' flexible learning. Flexible Learning is in accordance with generation Z learning trends that have flexibility in learning space, learning media, learning time, and learning style.

Based on multi-objective programming method, this paper reviews the previous research on the problem of government guarantees in the project financing, and puts forward the importance of the research on project selection of government guarantee in Build-Operate-Transfer (BOT) or Public Private Partnership (PPP) project finance. Through the analysis of the selection criteria of guarantee project, we find that the selection problem of government guarantee of BOT/PPP infrastructure projects is essentially a multi-objective decision problem. Moreover, we establish a chance-constrained objective programming model for the government to make the decision to guarantee project selection.

In the modern science, priority is given for the search of biological active compounds with specific properties. As a result of experimental data, it was found that in the reaction between N-(β-D-glycopyranosyl)-semicarbazide and the Lawesson reagent (2,4-bis(p-methoxyphenyl)-1,3-dithiadiphosphetane 2,4-disulfide) at the ratio 1:1 in pyridine when boiling under reflux in a water bath for 20 - 35 minutes, a new synthetic compound N-(β-D-glycopyranosyl)-thiosemicarbazide is formed. The individuality and structure of the target products were confirmed by 13C NMR spectroscopy, 1H NMR spectroscopy, IR spectroscopy, and elemental analysis. For the synthesized new compounds of N-(β-D-glycopyranosyl)-thiosemicarbazides, the probability of pharmacological and toxic effects were predicted by the computer method in silico. From the synthesized compounds N-(β-D-galactopyranosyl)-thiosemicarbazide, the probability of antibacterial (antibacterial) activity is predicted (Pa/Pi 0.544/0.013). The antibacterial activity of the compound (4) was confirmed in a test for salmonella infection of lambs, salmonellosis of calves, and colipathogenic E. coli serotypes. An experimental study by the in vitro method made it possible to conclude that the new synthetic compound N-(β-D-galactopyranosyl)-thiosemicarbazide in the studied concentrations has a pronounced bactericidal and bacteriostatic effect. The synthetic new compound N-(β-D-glyco- pyranosyl)-thiosemicarbazide is a promising compound for further study.

The development of information technology has created conditions for development and implementation of software for the simulation of traffic accidents. Among large number software tools which are being used in Europe, software PC Crash stand out. In this paper comparative analysis of distance throw of pedestrian using the traditional and contemporary methods was realized. The distance throw of pedestrian using the software PC Crash, depending on the height and weight of pedestrian is showed. By using of statistical methods difference between traditional and contemporary methods was researched.

The article presents the basics of the method of correlation spatial-frequency filtering of maps of phase distributions of polyethylene films. Using the method of statistical analysis of the structure of spatial-frequency filtered polarization mapsof polymer films, a set of methods and criteria for diagnosingchanges in the birefringence of packaging materials has beensubstantiated and tested. У статті наведено основи методу кореляційної просторово-частотної фільтрації карток фазових розподілів поліетиленових плівок. Використовуючи метод статистичного аналізу структури просторово-частотних фільтрованих поляризаційних карт полімерних плівок, обґрунтовано та апробовано комплекс методів та критеріїв діагностики зміни двопроменеломлення пакувальних матеріалів.

The purpose of the article. During developing technological processes for the production of grain smoothies, it is necessary to determine how the organoleptic and related structural and mechanical properties change during storage using structure-forming agent. The smoothie structure undergoes changes over time that can be positive or negative. These changes can be analyzed and predicted using the basic structural and mechanical parameters. Research methods. The aim of the study is to determine the influence of structure formers on the rheological properties of grain smoothies during storage. The methodological basis of the study is an integrated approach, both in the formulation of tasks and in the conduct and analysis of research results using new theoretical developments, modern computer methods of mathematical modeling and analysis. Scientific novelty. There are two main periods of change in the characteristics of the smoothie structure. During the first 15 days storage period all the structural and mechanical properties of the smoothie remain unchanged. So, the rate of structure destruction is m = 0.61, the plastic viscosity is ηпл = 7.71 Pa·s, the effective viscosity at a unit shear rate is B0 = 292 Pa·s, yield point is σ0 = 240 Pa, the Bingham yield point is σд = 832 Pa. From sixteen storage days the value of all the basic structural and mechanical characteristics of the smoothie begins to grow up. During storage for 30 days the rate of rate of structure destruction m increased from 0.61 to 0.69. Such an increase characterizes the strengthening of the anomalous, non-newtonian properties of the smoothie. The plastic viscosity η пл increased by 12.1%, the effective viscosity at a yield point B0 increased by 29.5%. Conclusions. The study of the structural and mechanical properties of the smoothie lasted 30 days. At the end of this period, the smoothie acquired a condensation-crystallization structure. The yield strength was reached 2200 Pa. Thus, the recommended storage period of a smoothie is 15 ± 0.5 days.

The article deals with the description of the production of a shaped part composed of an outer pyramid and cylindrical surface, of inner cylindrical surfaces of different diameters and of an inner tongue groove. It describes the proposed tools and tool holders resulting from the technological process. In order to meet the required tolerances and shape deviations for the given component, the CTX alpha 500 two-spindle multi-axis CNC lathe was chosen for its production. Its control system enables the workshop method of programming and simulation of individual operations in automatic mode or in block-by-block mode. The design of the selected CNC lathe enables the machining of rotary parts in one clamping, which is ensured by the right and left spindle with chucks. The surface quality of the pyramidal surface and the internal diameter of D18H8 was measured using a Hommel Etamic W5 roughness gauge. The measured roughness values for the hole were: D = 18H8, Rz = 3.007 μm, Ra = 0.729 μm and for the pyramidal surface: Rz = 1.527 μm and Ra = 0.329 μm.

One of the most common diseases among women is breast cancer, the early diagnosis of which is of paramount importance. Given the time-consuming nature of the diagnosis process of the disease, using new methods such as computer science is extremely important for early detection of the condition. Today, the main emphasis is on the science of data mining as one of the computer methods in the field of diagnosis. In the present study, we used data mining as a combination of feature selection method by Gray Wolf Optimization (GWO) and support vector machine (SVM), which is a new technique with high accuracy compared to other methods in this classification, to increase the accuracy of breast cancer diagnosis. The UCI dataset and functional parameters and various statistical criteria were applied to evaluate the proposed method and assess the validity of the results in MATLAB, respectively. Application of the proposed method increased the improvement of the evaluated criteria, which increased the accuracy of diagnosis by 27.68%, compared to former works in the field. As such, it could be concluded that the proposed method had a higher ability to diagnose breast cancer, compared to previous techniques.

Miglioramento della percezione del parlato in condizioni di silenzio e rumore mediante il metodo FAP (Frequency-Allocation Programming) personalizzato.L’obiettivo di questo studio è la valutazione della discriminazione verbale da parte di soggetti esperti portatori di impianto cocleare con impostazioni MAP standard, utilizzando le tabelle predefinite di allocazione di frequenza con un MAP di frequenza ottimizzato. Questo è uno studio osservazionale, trasversale e quantitativo su 50 adulti con impianto cocleare, 20 bilaterali e 30 monolaterali. 23 maschi (46%) e 27 femmine (54%). Tutti i soggetti erano maggiorenni. Le differenze tra i valori medi di soglia nell’audiometria tonale in campo libero sono risultati statisticamente significativi nei pazienti impiantati sia monolateralmente che bilateralmente; risultati simili sono stati ottenuti nei test bisillabici nei pazienti impiantati sia monolateralmente che bilateralmente (p0,005). I pazienti che hanno utilizzato il metodo di allocazione di frequenza, che assegna le frequenze sulla base di quelle fondamentali, hanno mostrato una percezione delle parole bisillabiche e delle frasi libere in quiete e nel rumore migliore rispetto ai pazienti con dispositivo precedentemente regolato con tecniche standard. Il metodo può essere applicato a diversi processori e utilizzato con differenti strategie di stimolazione. Permette la riduzione degli attuali livelli di intensità così come un aumento del range dinamico e migliora la qualità della rappresentazione del segnale.The objective of this study is the evaluation of speech recognition of experienced CI recipients with standard MAP settings using the default frequency-allocation tables with the optimised frequency-allocation MAP. This is an observational, cross-sectional and quantitative-approach study on 50 adult cochlear implant recipients, 20 bilateral and 30 unilateral implant recipients. 23 men (46%) and 27 women (54%). All subjects were ≥ 18 years old. Differences between the means of the thresholds in tone audiometry in free fields were statistically significant in both unilaterally and bilaterally implanted patients; similar results were obtained between average benefits in disyllabic for both unilaterally and bilaterally implanted patients (p0.005). The differences between the means of scores were statistically significant for unilaterally and bilaterally implanted patients, similarly occurred with the average in HINT test between standard SRT50% programming and frequency allocation fitting (p0.005). Patients using the frequency allocation method, which assigns frequencies based on fundamental frequencies, showed better perception of disyllabic words and open-set sentences in quiet and in noise than patients previously fitted with standard fitting techniques. The method can be applied to different processors and used with different strategies of stimulation. It allows reduction of current intensity levels as well as an increase in the dynamic range and improves the quality of the representation of the signal.

The work presents the results of preliminary strength design of a thin-walled structure based on double-tee section loaded with a torsion moment. One of the solutions to this problem is considered, in which the torsional box is introduced in the central part. Then, one constructs a series of solution variants that differ in the torsional box length. In the design one uses the method of statically admissible discontinuous stress fields (SADSF) assuming the condition of equalized equivalent stress in the limit state. The work is complemented with elastic FEM analyses of one of the solution variants. Using this example, one shows good load-carrying properties of structures designed with the SADSF method, and proves that they could be several times better than the properties of structures designed with traditional or intuitive ways.

The authors developed and tested diagnostic instruments (a computer testing system) aimed at the identification of prospective teachers’ readiness for continuous professional self-development by the following criteria: the awareness of necessity for purposeful continuous professional self-development; the level of acquired professional knowledge, integrative and theoretical training; the formation of abilities and practical skills for professional self-development; practical training; a set of individual and psychological qualities important for continuous professional self-development and future professional activity in general; the focus on self-analysis, self-assessment of professional self-development. The developed survey “Diagnostics of Readiness for Professional Self-development” includes original parts of questionnaires and tests, which were creatively redesigned and adapted according to the research. Among them: “Dispositive Characteristic of Self-development of Personality”, “Diagnostics of Success Motivation”, “Diagnostics of Self-development Needs”, “Motivation of Professional Activity”, Cattell’s 16 PF-questionnaire, and others. For the purpose of implementing the authors’ concept, the technology of prospective teachers’ training for continuous professional self-development is developed. This technology is considered to be a system of contents, principles, methods, forms, substantiated organizational and pedagogical conditions that provides implementation of the authors’ concept and guarantees achievement of the planned results – increasing the level of prospective teachers’ readiness for continuous professional self-development. After the implementation of the technology, the computer diagnostics was applied again. The results of the final diagnostics showed the effectiveness of the training technology of the prospective teacher for continuous professional self-development and the computer method “Diagnostics of Readiness for Professional Self-development”.

Recently, interest in Investigator Initiated Trials (IIT)/Investigator Initiated Studies (IIS) in pharmaceuticals and medicine has increased. The relevance of such trials is due, on the one hand, to increased knowledge of diseases pathogenesis, potential targets for drug exposure, and on the other, the development of technologies, primarily the Internet and computer methods that create opportunities for organizing collaboration, the collection and processing of information. Almost all participants in the process of creating new drugs and treatments – pharmaceutical companies, regulatory authorities, associations of doctors and patients – have realized the importance of supporting IIT and developed mechanisms for this. The purpose of this article is to review new trends in IIT in the world and the possibilities for conducting them in Russia, and also exchange of experience in the development, approval and implementation of international IIT in our country.

Drug resistance of pathogenic bacteria has become increasingly serious due to the abuse of antibiotics in recent years. Researchers have found that cell wall lyases are effective antibacterial agents that can specifically recognize target bacteria and degrade bacterial peptidoglycan. Traditional wet experiments are usually expensive, time-consuming and laborious for the identification of lyases. Therefore, there is an urgent need to develop prediction tools based on computer methods to identify lyases quickly and accurately. In this paper, a new predictor, CWLy-RF, is proposed based on the random forest (RF) algorithm to identify cell wall lyases. In this method, we combined three features, namely, 400D, 188D and the composition of k-spaced amino acid group pairs, using mixed-feature representation methods. Afterward, we improved the feature representation ability with the selected top 100 features by using the information gain method and trained a predictive model using RF. The constructed prediction model is evaluated by using 10-fold cross-validation. The accuracy obtained was 96.09%, the AUC was 0.993, the MCC was 0.922, the sensitivity was 94.92%, and the specificity was 97.32%. We have proved that the proposed predictor CWLy-RF is superior to other latest models, and it will hopefully become an effective and useful tool for identifying lyases.

Multi-scale structures, as found in nature (e.g., bone and bamboo), hold the promise of achieving superior performance while being intrinsically lightweight, robust, and multi-functional. Recent years have seen a rapid development in topology optimization approaches for designing multi-scale structures, but the field actually dates back to the seminal paper by Bendsøe and Kikuchi from 1988 (Computer Methods in Applied Mechanics and Engineering 71(2): pp. 197–224). In this review, we intend to categorize existing approaches, explain the principles of each category, analyze their strengths and applicabilities, and discuss open research questions. The review and associated analyses will hopefully form a basis for future research and development in this exciting field.

Now experimental investigations based on the methods of natural sciences allows us to register the dynamics of processes in biological systems. The results may be represented by various ways, in particular as digital images or signals. The application of mathematical and computer methods of image analysis opens up possibilities to obtain numerical data that characterize real processes and helps to estimate the biological system state, which is important in medical practice. We apply image analysis to study changes in a biological system state. Our experiments on some classes of biomedical preparations including ones obtained by sensitive crystallization and capillary dynamolysis methods resulted in obtaining numerical characteristics which allows us to distinct images from different classes,( such as acute and chronic inflammatory processes, benign and malignant tumors, etc.) and may be considered as classifying signs.

Chemists have to a large extent gained their knowledge by doing experiments and thus gather data. By putting various data together and then analyzing them, chemists have fostered their understanding of chemistry. Since the 1960s, computer methods have been developed to perform this process from data to information to knowledge. Simultaneously, methods were developed for assisting chemists in solving their fundamental questions such as the prediction of chemical, physical, or biological properties, the design of organic syntheses, and the elucidation of the structure of molecules. This eventually led to a discipline of its own: chemoinformatics. Chemoinformatics has found important applications in the fields of drug discovery, analytical chemistry, organic chemistry, agrichemical research, food science, regulatory science, material science, and process control. From its inception, chemoinformatics has utilized methods from artificial intelligence, an approach that has recently gained more momentum., Artificial Intelligence (AI) methods learn from data and thus find an ideal application field in chemistry. AI can thereby build on 60 years of developments in chemoinformatics on computer methods for the representation and analysis of chemical information such as database management, property prediction, synthesis design, and structure analysis.

BackgroundRespiratory sounds have been recognized as a possible indicator of behavior and health. Computer analysis of these sounds can indicate of characteristic sound changes caused by COVID-19 and can be used for diagnosis of this illness.PurposeThe communication aim is development of fast remote computer-assistance diagnosis of COVID-19, based on analysis of respiratory sounds.Materials and MethodsFast Fourier transform (FFT) was applied for analyses of respiratory sounds recorded near the mouth of 9 COVID-19 patients and 4 healthy volunteers. Sampling rate was 48 kHz.ResultsComparing of FFT spectrums of the respiratory sounds of the patients and volunteers we proposed numerical healthy-ill criterions.ConclusionsThe proposed computer method, based on analysis of the FFT spectrums of respiratory sounds of the patients and volunteers, allows one to automatically diagnose COVID-19 with sufficiently high diagnostic values. This method can be applied at development of noninvasive self-testing kits for COVID-19.

The aim of this study was to establish a measurement method for filler and matrix in cured resin composite (RC) using Python programming and to investigate the correlation between matrix ratio and curing temperature rise. Eight kinds of RCs were used. Backscattered electron images were taken for each cured specimen. Matrix and filler contents were calculated using Python programming with the K-means or area segmentation method. Volume measurement methods were assessed for comparison. Heat released during the polymerization reaction was measured. The matrix ratio was calculated without human intervention. Three specimens contained only inorganic filler, and other specimens contained multiple types of fillers. Almost the same values of the matrix ratio were obtained by programming and the volume measurement methods for specimens containing a single type of inorganic filler. Moreover, a strong correlation was found between the matrix ratio obtained by the programming method and curing temperature rise (R=0.9826).

This is an Accepted Manuscript of an article published by Taylor & Francis in Computer Methods in Biomechanics and Biomedical Engineering : Imaging & Visualization on 17.03.2020, available online: https://www.tandfonline.com/doi/full/10.1080/21681163.2020.1728579, The morphological assessment of anatomical structures is clinically relevant, but often falls short of quantitative or standardised criteria. Whilst human observers are able to assess morphological characteristics qualitatively, the development of robust shape features remains challenging. In this study, we employ psychometric and radiomic methods to develop quantitative models of the perceived irregularity of intracranial aneurysms (IAs). First, we collect morphological characteristics (e.g. irregularity, asymmetry) in imaging-derived data and aggregated the data using rank-based analysis. Second, we compute regression models relating quantitative shape features to the aggregated qualitative ratings (ordinal or binary). We apply our method for quantifying perceived shape irregularity to a dataset of 134 IAs using a pool of 179 different shape indices. Ratings given by 39 participants show good agreement with the aggregated ratings (Spearman rank correlation ρSp=0.84). The best-performing regression model based on quantitative shape features predicts the perceived irregularity with R2:0.84±0.05.

DNA cages can be joined together to make larger 3D nanostructures on which molecular electronic circuits and tiny containers are built for drug delivery. The mathematical models for these promising nanomaterials play important roles in clarifying their assembly mechanism and understanding their structures. In this study, we propose a mathematical and computer method to construct permissible topological structures with double-helical edges for a triangular bipyramid and pentangular bipyramid. Furthermore, we remove the same topological links, without eliminating the nonrepeated ones for a triangular bipyramid and pentangular bipyramid. By analyzing characteristics of these unique links, some self-assembly and statistic rules are discussed. This study may obtain some new insights into the DNA assembly from the viewpoint of mathematics, promoting the comprehending and design efficiency of DNA polyhedra with required topological structures.

Aim: Our purpose with this study is to determine the most effective and suitable cochlear implant programming method for CI users’ implants to experience quality hearing and for the users to achieve efficiency from their implants. Materials and Methods:Twenty-five cochlear implant users with post lingual progressive hearing loss were included in the study. Twelve electrodes’ ART (auditory nerve response telemetry) thresholds were determined and were statistically analyzed to be evaluated in the study. For 12 electrodes whose AutoART threshold was determined, the MCLs (most comfortable loudness) were determined behaviorally. Results: No correlations were found between the 12 electrodes and AutoART. It was seen that there was a correlation between the pure tone average obtained from 500-1000-2000 and 4000Hz and the speech reception threshold. Conclusion: The use of two test batteries together to determine thresholds can be helpful in the programming of the speech processor. The more audiologists work with cochlear implant patients and do programming, the more they accumulate data and gain occupational experience. With the occupational experience acquired in this manner, more accurate programming can be done.

In Viticulture, visual inspection of the plant is a necessary task for measuring relevant variables. In many cases, these visual inspections are susceptible to automation through computer vision methods. Bud detection is one such visual task, central for the measurement of important variables such as: measurement of bud sunlight exposure, autonomous pruning, bud counting, type-of-bud classification, bud geometric characterization, internode length, bud area, and bud development stage, among others. This paper presents a computer method for grapevine bud detection based on a Fully Convolutional Networks MobileNet architecture (FCN-MN). To validate its performance, this architecture was compared in the detection task with a strong method for bud detection, Scanning Windows (SW) based on a patch classifier, showing improvements over three aspects of detection: segmentation, correspondence identification and localization. The best version of FCN-MN showed a detection F1-measure of $88.6\%$ (for true positives defined as detected components whose intersection-over-union with the true bud is above $0.5$), and false positives that are small and near the true bud. Splits -- false positives overlapping the true bud -- showed a mean segmentation precision of $89.3\% (21.7)$, while false alarms -- false positives not overlapping the true bud -- showed a mean pixel area of only $8\%$ the area of a true bud, and a distance (between mass centers) of $1.1$ true bud diameters. The paper concludes by discussing how these results for FCN-MN would produce sufficiently accurate measurements of bud variables such as bud number, bud area, and internode length, suggesting a good performance in a practical setup., Comment: Revised version submitted to Journal of Computers and Electronics in Agriculture November 13, 2020

International audience; 3D reconstruction from low-dose Bi-Planar X-Rays (BPXR) is a rising practice in clinical routine.However, this process is time consuming and highly depends on the user. This study aims topartially automate the process for the femur, thus decreasing reconstruction time and increasingrobustness. As a training set, 50 femurs are segmented from CT scans together with 120 BPXRreconstructions. From this dataset, an initial solution for the bony contours is defined throughGaussian Process Regression (GPR), using eight digitized landmarks. This initial solution is projectedon both x-rays and automatically adjusted using an adapted Minimal Path Algorithm (MPA). Toevaluate this method, CT-scans were acquired from 20 cadaveric femurs. For each sample, the CTbasedreconstruction is compared to the one automatically generated from the digitally reconstructedradiographs. Euclidean distances between femur reconstructions and the segmented CTdata are on average 1.0 mm with a Root Mean Square Error (RMSE) of 0.8 mm. Femoral torsionerrors are assessed: the bias is lower than 0.1° with a 95% confidence interval of 4.8°. The proposedmethod substantially improves 3D reconstructions from BPXR, as it enables a fast and reliablereconstruction, without the need for manual adjustments, which is essential in clinical routine.