The purpose of research. Nowadays electroencephalography is successfully used for diagnostics and rehabilitation of psychological and cognitive disorders. At the same time, practical healthcare meets with the difficulties related to the weakness  in objective assessment of  the severity of anxiety  states and  the  requirement  to  consider  the  individual characteristics of patients. These features are difficult to formalize, but can be taken into account when implementing machine learning methods. The purpose of the study is to evaluate the possibility of using machine learning technolo- gies to identify the level of anxiety correlated with the Spielberger-Khanin method, according to electroencephalography data. 
Methods. To identify anxiety in the main and control groups, the Spielberger-Khanin method was used, which allows for differential measurement of anxiety as a personal trait. Alpha rhythms were recorded using 6-channel electroen- cephalography. The CatBoost library, which implements a gradient boosting algorithm with loss function minimization, was used as a machine learning tool. 
Results. The experiment involved 92 respondents, divided into three groups based on the testing results. Before test- ing, all subjects were in a state of rest for 1.5 minutes with the EEG recording turned on. Then they were asked to take a test to determine personal anxiety with synchronous recording of alpha rhythm parameters. Based on the results of testing, respondents were divided into three groups in accordance with the level of a certain anxiety. The study revealed a relationship between different levels of anxiety according to the Spielberger-Khanin scale and the type of electroen- cephalogram in subjects, which makes it possible to move from testing patients to recording and interpreting EEG. 
Conclusion. The study revealed a positive relationship between different levels of personal anxiety according to the Spielberger-Khanin scale and the type of electroencephalogram in subjects with an accuracy of up to 14%. It is shown that when determining anxiety, it is possible to replace the test based on the Spielberger-Khanin method for determining anxiety by EEG using machine learning technology. 

Purpose of research. Currently, the employment of university graduates is not only a problem for graduates, but also a problem for the higher education institutions themselves. The demand for specialists in the labor market is considered an indicator of the quality of education and ensures the rating of the university. The need for specialists in the labor market is great, but it is not always possible to meet the demands of enterprises, despite the fact that universities annually graduate hundreds of graduates. This contradiction arises due to the lack of direct interaction between graduates and employers. This contradiction can be resolved by using a specialized multifunctional online platform, which allows you to establish a process of monitoring the employment of graduates and establish direct interaction between university career centers, graduates and employers. The paper considers an approach to creating a multifunctional online platform that can effectively facilitate the employ- ment of university graduates.. 
Methods. In creating the project development, methods of system analysis, methods of designing software tools, the unified  language  Unified  Modeling  Language,  SQLServer  DBMS,  JavaScript  development  environment,  Node.js, Vue.js were used. 
Results. During the project, software was developed for a multifunctional online platform that ensures direct interaction between the university’s career centers, graduates and employers. 
Conclusion. The developed specialized multifunctional online platform has separate offices: for the university, for the employer, for the graduate, allows to establish the process of monitoring the employment of graduates and establish direct interaction between the university career centers, graduates and employers. The system is completely ready for use, and will contribute to the formation of a digital career environment of the university. 

Purpose of research is to develop a computer program to improve the diagnosis and monitoring of treatment of pa- tients with chronic rhinosinusitis.  
Methods. The program was developed on the basis of multifactorial and correlation analyses, taking into account a combination of indicators of invasive laboratory diagnostic methods. Laboratory diagnostics is performed for biomarkers of endothelial dysfunction in peripheral blood samples of patients (homocysteine, cystatin C, highly sensitive C-reactive protein  (hsCRB),  D-dimer).  The  certificate  of  state  registration  of  the  computer  program  No.  2021611887  dated 02/08/2021 was received.  
Results. The program is based on protocols of clinical and laboratory examination of patients with chronic rhinosinusitis. The program operates according to the following stages: data input; mathematical calculation using a mathematical model; output of a digital result of the value "y"; generation of a report with the output of the result on the screen. The program has such qualities as visibility and ease of use. Clinical cases are given as examples of the program's work. The operation of the program is demonstrated in the form of an interface image.  
Conclusion. The developed software can be recommended for use in clinical practice. In the pre- and postoperative periods, with the help of this program, it is possible to conduct treatment monitoring using objective standardized highly sensitive clinical and laboratory research methods. The implementation of the software package in practice will help to implement an integrated approach in the diagnosis of CRS. The presented program is an innovative tool for the diagnosis and evaluation of the effectiveness of treatment in patients with CRS. The developed program can be recommended  for use  in  the  routine practice of an otorhinolaryngologist  in outpatient and hospital settings of healthcare institutions. 

The purpose of the research is  to determine determine  the duration of acoustic signals emitted by a piezoelectric transducer with small deviations (increase or decrease) in the thickness of the matching layer and its specific acoustic resistance from the optimal values. 
Methods. The object of the study is plate-type piezoelectric transducers loaded onto an water medium. The calculation was performed using  the equivalent circuit method of piezoelectric  transducers and  the spectral method based on Fourier transforms. The equivalent circuit method is used to determine the frequency characteristics of piezoelectric transducers. For an electrical excitation pulse of a specific shape, its spectral function is determined using the direct Fourier transform. The type of the probing acoustic pulse is found using the inverse Fourier transform. Based on the analysis of the pulsed operating mode of piezoelectric transducers, the dependences of the probing signal durations on the optimal values of the wave thickness of the matching layer and its specific acoustic resistance are determined.  
Results. Based on the analysis of the operation of piezoelectric transducers, the main causes of violation of the identity of their properties are  identified. For different degrees of damping of  the piezoelectric  transducer, the shapes of the probing signals radiated into water are determined. The effect of inaccuracies in the manufacture of the layer on the  duration of the probing signal is assessed. The duration of acoustic signals emitted by a piezoelectric  transducer  is determined with small deviations (increase or decrease) in the thickness of the matching layer and its specific acoustic resistance from the optimal values. 
Conclusion. The obtained results are intended to assess the quality of blanks of structural elements of piezoelectric transducers during their manufacture in small batches, when errors in maintaining the thickness of the matching layer and the value of its specific acoustic resistance are inevitable both within one batch and between batches.  

The purpose of the research  is a theoretical assessment of the potential noise  immunity of quadrature amplitude modulation signals  in digital communication  lines under  the condition of imperfect parameters of the automatic gain control device.  
Methods. The research methods are based on the theory of potential noise immunity of multi-position digital signals, the fundamentals of quasi-optimal reception, and methods of mathematical modeling of signals. It is assumed that the synthesizer of heterodyne oscillations of the carrier and clock synchronization devices  in  the radio receiving system function ideally, i.e. the phases of the output oscillation of the heterodyne oscillation synthesizer and the output oscil- lation of the carrier recovery device are zero, there is no instability in the clock pulse repetition period, and the frequency response of the channel corresponds to the Nyquist condition. 
Results. Complex analytical models have been developed that allow estimating the potential noise immunity of multi- position QAM signals reception taking into account the influence of static and dynamic error factors in the operation of the automatic gain control device. It has been shown that the requirements for the accuracy of setting the signal level at the  input of  the decision device of the radio  receiving system become more stringent with  increasing modulation multiplicity. Thus, the results of mathematical modeling have shown that for the QAM-16, QAM-64, QAM-256 and QAM- 1024 modulation types, the static error in setting the signal level at the input of the decision device should be no more than 0,27, 0,12, 0,054 and 0,027 dB, respectively. The specified values, as shown by the calculations and the obtained theoretical dependencies, allow obtaining acceptable values of the equivalent energy loss level, which does not exceed 0,3 dB. 
Conclusion. It is shown that the development and design of adaptive correctors of intersymbol distortions is a very relevant direction for increasing the noise immunity of radio receiving systems, allowing to compensate for the imper- fection of the characteristics of various structural and functional elements of multi-position digital signal demodulators, including the automatic gain control device. In correctors of complex signal demodulators, the most appropriate criterion is  the minimum mean square error. The lowest  level of the square error  in the range of low signal-to-noise ratios  is provided by an algorithm  that  is a combination of a modified start-stop algorithm and a  two-mode algorithm  with a constant modulus. 

Purpose of research. Professional activity of servicemen is directly related to high levels of mental and physical stress. Negative consequences of stress in servicemen are not only health problems, but also the risk of task failure. Therefore, the development of tools for assessing stress tolerance in military personnel, including in field conditions, becomes an urgent  task. Existing complexes  for assessing stress  tolerance  in servicemen, as a  rule, have  the  following disad- vantages:  large size,  insufficient mobility, mandatory connection  to a computer,  installation of specialised software, relatively high cost, subjective nature of assessment,  lack of differentiated assessment  for fear and anxiety, having different morphofunctional basis. Therefore, the aim of  the study  is  to develop a prototype of a portable system for differentiated assessment of the level of stress tolerance of military personnel.
Methods. The stress tolerance assessment model is ‘predictable-unpredictable threat’. The development of the elec- tronic board was carried out using modern computer-aided design systems: NI Multisim v 14.3, Micro-Cap v 12.2.0.5, KiCad v 8.0.6, Compass-Graphic v 23, Mathcad v 15. The software component of the system is implemented using Python v 3.10 and  libraries: PySide6 v 6.7.2, docx v 0.2.4, Docxcompose v 1.4.0, Cryptography v 43.0.0, SQLite v 3.47.0, Pyinstaller v 6.11.0. The housing of the portable system was modelled in Solidworks 2018 software. IDEA Maker software was used to convert the 3D model into 3D printer control commands.
Results. A conceptual model of a portable system for assessing stress tolerance of military personnel based on the predictable-unpredictable threat assessment model is presented. A prototype of this system was implemented based on the conceptual model.
Conclusion. The introduction of a portable system for differentiated assessment of stress tolerance into the daily prac- tice of medical and psychological service of the Armed Forces of the Russian Federation will contribute to the timely adoption of measures to preserve and improve the health of personnel, as well as to improve the efficiency of military- professional activity, and to preserve the professional health of servicemen.

The purpose of the research is purpose of the study. The analysis of modern solutions aimed at supporting decision-making on optimal driving within the framework of the Connected Car concept, as well as systematize the main methods of using telematics data and architecture of similar systems. 
Methods. Methods. The study  is based on an analysis of domestic and  foreign publications, patents and practical implementations in the field of Connected Cars, as well as examples of the introduction of telematics platforms in the automotive industry. Classical statistical methods, machine learning algorithms, and big data streaming tools are considered. Special attention is paid to scalability, standardization and quality of telematics information. 
Results. It has been established that most modern systems rely on basic statistical and machine  learning methods (classification, clustering, regression models) to analyze large amounts of data on vehicle movement. However, unified approaches to the integration of these methods into the integrated architecture of decision support systems have not yet been formed. Hybrid approaches combining statistical methods, ML algorithms, and Big Data technologies demonstrate the greatest effectiveness. Their widespread adoption is hampered by the lack of uniform standards for telematics data exchange, the difficulties of reliable data storage, and the need to filter noise and omissions. Based on the review, the advantages and disadvantages of various methods are identified, as well as the requirements for the architecture of the DSS for the Connected Car are formulated. 
Conclusion. The review confirms the high demand for  flexible, scalable solutions capable of processing  telematics data in real time and taking into account individual driving characteristics. The further development of such systems is closely related to the unification of telematics information formats, increased security (both in terms of data protection and in the field of traffic), as well as expanding the range of analyzed sources (road infrastructure, weather conditions, smart city ecosystems, etc.) to improve the accuracy of recommendations and optimize driving. 

The purpose of the research is to analyze the potential of integrating the ChatGPT language model into a personalized  recommendation  system aimed at  reducing procrastination. The  focus  is on  the concept of a digital assistant capable of adaptively responding to users’ behavioral patterns, maintaining attention, and fostering self-discipline in the context of information overload and constant digital distractions. 
Methods. The system is based on the ChatGPT language model integrated with user activity trackers. It is designed to collect and analyze data such as task schedules, productivity levels, mood, task-switching frequency, and physiological parameters  (e.g., heart  rate, stress  level,  sleep quality) where wearable devices are available. The  system architecture includes a contextual layer for data aggregation and a dialogue generation module for personalized recommendations. Recommendations are stratified into operational (immediate actions), tactical (daily planning), and motivational (focus and resilience support) types. The system also provides mechanisms for adapting recommendations based on behavioral context, temporal patterns, and user state. 
Results. The paper describes the functional components of the proposed architecture, key user interaction scenarios, and examples of dialogue interventions. Interface solutions for visualizing progress in productivity and self-regulation are discussed. The feasibility of using a language model as an empathetic digital coach that can respond to users’ dynamic states and provide supportive guidance for overcoming procrastination is substantiated. 
Conclusion. The proposed concept demonstrates the potential of ChatGPT as a tool for digital well-being. Personalized interaction based on the analysis of user behavior and states may serve as a foundation for the development of effective digital self-regulation systems. Future research directions include the implementation of predictive logic, integration of biometric tracking, and expansion of the behavioral model. 

The purpose of the research  is to develop a method for  indirect assessment of core body temperature based on measurements of heart rate   and palm  temperature using a  technical  equipment kit during a complex visual-motor reaction test. 
Methods. During the development process, a series of examinations were conducted with sequential measurements of CBT using a medical  thermometer and  the TEK employed  in the proposed measurement method. The obtained measurement results were processed using regression analysis, and based on the derived generalizations, a dataset was synthesized for training a machine learning regression model using the "random forest" algorithm. The developed measurement method was verified in accordance with the requirements for CBT assessment during pre-shift medical examinations. 
Results. As a result of the conducted research and the identified parameters (data preprocessing, data synthesis and the regression model algorithm), a technique for indirect assessment of CTT was developed, and its accuracy characteristics were determined. 
Conclusion. The developed method complies with the regulatory requirements for CBT measurement during pre-shift medical examinations. The method is applicable within an ambient temperature range of 18 to 35°C, measures CBT in the range of 35 to 42°C, and has an absolute measurement error of ±0.1°C. The method has been certified and registered by the Federal Agency for Technical Regulation and Metrology (Rosstandart). The certification number for the measurement method  is  2207/2411-(RA.RU.310494)-2023,  and  the  registry  entry  number  is  FR.1.32.2024.47935. Based on this method, specialized software (SSW) "Functional State Assessment" was developed. The SSW is registered with the Federal Service for Intellectual Property (Rospatent) and included in the register of computer programs. The state registration number for the computer program is 2024612210. The SSW, developed in accordance with the proposed method, is used in a hardware-software complex designed for conducting pre-shift medical examinations. 

The purpose of the research is to develop a method for managing ambulance crews based on optimizing the planning of the route of the crews using geographic information systems. 
Methods. The possibilities of using geoinformation systems to optimize the routes of ambulances are being considered. One of the priorities for the development of information and communication technologies in Russia in the long term is the formation of modern information and telecommunications infrastructure, automated information systems (AIS), geographic information systems (GIS) and geographic information technologies (GIT) and the provision of high–quality innovative services and products based on them, ensuring the effective application of their results in social facilities. Geoinformation systems and technologies (GIS technologies) are a powerful tool for visualizing geographically distributed information and subsequent decision-making on the planning of the route of vehicles (TS). A typical structural and functional organization of receiving calls from emergency medical services (SSMP) is given. The problem of waiting for ambulances for patients and delivering them to medical institutions in general, especially during a pandemic, is urgent and needs to be addressed. The sources of initial heterogeneous information in the geo- spatial information support of the SSMP are given, on the basis of which traffic congestion is determined and static and dynamic parameters are identified. 
Results. A method for managing SSMP teams has been developed, which includes the search for the shortest path, characterized by a modification of the relay method, which consists in processing geospatial data and removing dead ends, which reduces the number of calculations when planning routes. 
Conclusion. The use of GIS in  transport systems opens up significant opportunities  for  improving  the efficiency of operational decision-making for SSMP.  

The purpose of the research is to develop the concept of a software and hardware complex for monitoring the func- tional state of a person. The complex being created should be multi-purpose and universal  in  terms of  the age of patients and the applicability of the complex in various scenarios, including for personal use by patients, in rehabilitation, for operational monitoring of the condition of athletes, pilots, drivers and other categories, including those working in extreme conditions. 
Methods. A comparative analysis of noninvasive methods and technical means of obtaining information about significant parameters of the functional state of the human body is presented. The results of the analysis are summarized in order to form requirements for hardware and software tools for monitoring the functional state of a person. A mathematical model is analyzed allowed to obtain an integral estimation of the functional state of a person. 
Results. Significant parameters and characteristics of the human body amenable to objective instrumental control have been  identified. These parameters are necessary to create a software and hardware complex  that allows real-time monitoring of the functional state of a person. The requirements for the nodes of the complex are defined. It makes possible to assess the functional state both with and without distraction of the object of control from professional activity. The composition and characteristics of measurement channels are formulated. A method of forming an assessment of a person's functional state based on the use of artificial intelligence methods is proposed. 
Conclusion. The proposed hardware and software package satisfies  the set goals and objectives. The completed research allows us  to  recommend  the complex being developed  for use by medical personnel  in order  to support medical decision-making. The complex under development  is multi-purpose and can be useful  for personal use by patients, including in home telemedicine, as well as athletes who need to continuously monitor the body's state during the training process. The complex can be used by people whose professional activity is associated with risks in the event of a decrease in the functional parameters of the body. 

The purpose of the research is to model and implement a system of functions and combinators for parsing languages that can be defined using context-free grammars, as well as to reduce the source code of the parsing program.  
Methods. Using denotational semantics, a formal model of a system of functions and combinators for parsing was constructed, the type of parsing function was determined, and basic parsing functions were defined: successful parsing, unsuccessful parsing, and predicate parsing. Based on the basic functions, a function for parsing a given character is defined. A  formal model of a combinator of a  sequence of parsing  functions, a combinator of parallel  (alternative) parsing, and a combinator of applying a function to the results of parsing is given. Denotational semantics is also used to define combinators for repeating the parsing function.
Results. Based on  the obtained combinators and parsing  functions,  the implementation of Common Lisp parsing  is demonstrated. First, the grammar of the language in the extended Backus-Naur form is given. Then the parsing func- tions for lexical analysis are given: functions of voids, decimal numbers, hexadecimal numbers, identifiers, and single characters. Then, based on the previous functions, functions for parsing numbers, strings, atoms, lists, arrays, func- tional closures, and the s-expressions themselves are set. The resulting function combining the previous functions is also provided. The resulting program is compared by the LOC metric (number of lines of code) with a reference imple- mentation of a lexical and syntactic analyzer written in C.
Conclusion. As a result of the work, a model of a system of functions and combinators for parsing languages that can be specified by context-free grammars was built and  implemented. The parsing program using  this system  is quite compact due to the fact that grammars and semantic rules are written declaratively in almost their denotational form. This allows you to reduce the number of lines of code several times compared to the top-down recursive implementation of parsing.

The purpose of the research is to develop a mathematical model, analyze the interaction of the elements of a three- link electromechanical system of a rehabilitation exoskeleton of the lower extremities and predict the driving forces.  
Methods. The presented article discusses an electromechanical multi-link system of a rehabilitation exoskeleton of the lower extremities. The analysis was performed using the decomposition method, which is the dismemberment of the system  into  its component parts and  the study of  the  functioning of each part separately. Based on  the developed mathematical model of a multi-link system, a computational experiment was conducted. The animation method is used, which creates a virtual trajectory of the ankle joint movement of a human-machine system. The proposed approach makes it possible to predict the behavior of the system, determine its configuration and, importantly, evaluate the values of control actions in the form of torque of electric drives that ensure the functioning of the system as part of rehabilitation measures.  
Results. A mathematical model of the functioning of the rehabilitation skeleton system of the  lower extremities has been obtained, which makes it possible to predict the interaction of elements of an electromechanical multilink system. Based on  the data  from  the computational experiment,  it was  found  that  the control of  the hybrid drive affects  the functioning of the links of the system under consideration. An animation method has been developed that creates a virtual trajectory of the ankle  joint based on video motion capture and anthropomorphic parameters. The simulation results demonstrate that the gravity compensator of the hybrid drive creates an auxiliary torque that compensates for part of the gravitational forces from the elements of the electromechanical system. The effect of using a hybrid drive in the femoral joint on the functioning of the remaining links of the electromechanical system is shown, manifested in the exclusion of high-frequency vibrations of the knee and ankle links.  
Conclusion. The results of mathematical modeling make it possible to predict the interaction of the elements of the electromechanical system and to effectively control the robot's drive system over time. The discovered effect of the use of a hybrid drive in the femoral sphere on the functioning of the remaining links of the electromechanical system will make it possible to create a device capable of performing its functions in various operating conditions and providing motion parameters close to anthropomorphic. 

Purpose of research. The problem of workload of doctors with an increase in the volume of informatization in medicine can be solved through the development of diagnostic algorithms. The integral approach in the work of a doctor includes not only examining the patient, collecting anamnesis, but also taking into account the results of clinical laboratory and radiation research methods.  
The purpose of the research  is to  improve the algorithm for diagnosing a patient with chronic rhinosinusitis using a mathematical model.  
Methods. When compiling  the examination algorithm,  the  requirements of GOST 19.701-90 were applied. Logistic regression was used as a mathematical method for constructing a mathematical model. Correlation analysis and ROC analysis were also used to build a mathematical model. 
Results. The results of the entire complex of examination of the patient should be entered into the medical information system and  integrated  into the medical decision support system. According to the results of  the calculation using a mathematical model, the patient is diagnosed with the presence or absence of clinical and laboratory manifestations of endothelial dysfunction. Depending on the result obtained, the tactics of further treatment of the patient are built. 
Conclusion. An algorithm for examining a patient with chronic rhinosinusitis using a mathematical model is proposed. This approach reduces the time for processing the received data for the doctor and making a decision on further patient management tactics. The developed algorithm can be used not only for diagnostic purposes, but also for monitoring the treatment of patients with chronic rhinosinusitis. The use of the algorithm can be recommended to doctors of poly- clinics and hospitals. This tactic of examining the patient reduces the processing time of the received data for the doctor and making a decision on further patient management tactics. The mathematical model does not provide an accurate diagnosis, but only estimates the likelihood of the disease. Various clinical data are also needed to make a diagnosis.