Evaluation Of Analytical Methods Research Articles

Application of the analytic hierarchy process-fuzzy comprehensive evaluation method to assess the quality of electrophoresis on heavy-duty vehicle frames

Application of the analytic hierarchy process-fuzzy comprehensive evaluation method to assess the quality of electrophoresis on heavy-duty vehicle frames

An analytical method for increasing the accuracy of the value of the Newtonian constant of gravitation

Despite hundreds of measurements of the Newtonian constant of gravitation, its accuracy remains very low. Over the past 55 years, it has improved by only one order of magnitude - from four to five digits after the decimal point. In this study, a new analytical method for improving the accuracy of estimating the value of the Newtonian constant of gravitation is proposed. Using the proposed method, its accuracy is increased by 7 orders of magnitude relative to the CODATA 2022 data. The method is based on the analytical estimate of the Planck mass, length, and time, with an accuracy of values ​​that is 5 orders of magnitude higher than their accuracy according to CODATA 2022. Such a significant increase in the accuracy of the Planck mass, length, and time values ​​was made possible by the integrated use of: 1) precision formulas for the Planck momentum; 2) representation of the speed of light in a vacuum through the Planck length and time; 3) the De Broglie principle: the moments of the Planck mass, leptons, and baryons are equal to each other; 4) high-precision characteristics of the proton. The method of analytical evaluation of Planck mass, length, and time allowed us to connect the main characteristics of the hypothetical virtual Planck particle with the main characteristics of the proton. Increasing the accuracy of the proton characteristics will entail increasing the accuracy of Planck mass, length, and time. Accordingly, the accuracy of the value of the Newtonian gravitational constant and all physical constants that can be represented through Planck mass, length, and time will be increased, which is especially important in light of the decisions of the 26th General Conference on Weights and Measures.

Calculation of the Gaunt coefficients over real spherical harmonics

The Gaunt coefficients are numerical coefficients that describe the interaction between two different angular momentum quantum states. In the quantum physics, this interaction affects the energy levels and structures of atoms and molecules. The calculation of Gaunt coefficients plays a significant role in molecular integral evaluations, which emerge from the solving Schrödinger equation. This work presents the analytical evaluation methods for the Gaunt coefficients using real spherical harmonics and associated Legendre functions. In this paper, the general integral form of the Gaunt coefficients is written in two main parts as polar and azimuthal integrals. The new analytical relations and symmetry properties are generated for these integrals. The analytical expressions are obtained in terms of the beta functions, and these coefficients are calculated for different atomic orbitals of angular momentum using the Mathematica programming language. The obtained numerical results are compared with the values in the literature and we found completely agreement to 15 digits.

Prediction of axial compressive stresses in ultra-high-performance concrete blocks using non-destructive ultrasonic techniques

The application of ultra-high-performance concrete (UHPC) in civil engineering structures is growing rapidly. On the other hand, previous non-destructive testing (NDT) techniques mainly focused on determining the relationship between the acoustic characteristics and elastic modulus, Poisson's ratio, cracking resistance, and strength. This study presents an experimental approach utilizing ultrasonic techniques to predict the axial compressive stresses in UHPC structures. Both cubic and prismatic UHPC blocks were designed and tested under different compressive axial loading conditions, and their ultrasonic acoustic characteristics were evaluated in detail. Normal strength concrete (NSC) blocks were also included in the investigation for comparison purposes. A detailed account of the tests results is provided, including the relationships between the compressive stresses in UHPC blocks and the typical time- and frequency-domain acoustic parameters. Based on the experimental results, an analytical working stress evaluation method for UHPC components using the ultrasonic acoustic parameters is proposed. It is shown that there is close correlation and high prediction stability between the compressive stress in UHPC blocks and the ultrasonic velocity, which is suggested as the main acoustic parameter for stress detection. The correlation between the acoustic amplitude parameters and concrete compressive stress is also shown to be significant, yet is associated with relatively low prediction stability. Moreover, in comparison with conventional NSC blocks, greater correlation and regularity ratios are observed between the typical acoustic parameters and the axial compressive stress in UHPC specimens. Overall, the analytical models proposed in this study are shown to be in close agreement with the experimental results, and can be used, in conjunction with the ultrasonic NDT techniques, to provide a reliable prediction of the level of compressive stresses in UHPC members.

Chemical composition combined with network pharmacology and quality markers analysis for the quality evaluation of Qing-fei-da-yuan granules.

Qing-fei-da-yuan granules (QFDYGs) had been proved to be an effective TCM prescription for treating coronavirus disease 2019 (COVID-19), which are composed of a variety of TCMs, and characterized by multiple components, multiple targets and overall regulation. It is meaningful to further study the chemical composition and pharmacology of QFDYGs for quality evaluation. However, due to the complexity of the components of QFDYGs, there are no reliable and simple analytical methods for current quality evaluation. In this work, antipyretic activity assessment of QFDYGs in the LPS-induced New Zealand rabbit model was carried out to verify the efficacy firstly. It was proved that QFDYGs can be used to relieve fever to help preventing or controlling the prevalence of influenza and pneumonia. Subsequently, UHPLC-ESI-QTOF-MS/MS combined with network pharmacology, quality markers and fingerprint analysis were used to establish the quality control condition. The chemical compositions were analyzed by UHPLC-ESI-QTOF-MS/MS, and 79 of them were identified, such as arecoline, mangiferin, paeoniflorin, etc. Then, the network pharmacology strategy based on 45 candidate components (CCs) in conjunction with influenza and pneumonia diseases was employed to screen the potential active ingredients. According to the drug-CCs-genes-diseases (D-CCs-G-D) networks, baicalein, honokiol, baicalin, paeoniflorin, saikosaponin A, glycyrrhizic acid and hesperidin were selected as quality markers. And a method for content determination of the 7 quality markers was established by optimizing extraction methods, chromatographic conditions and methodological verification. Finally, the quality of 15 batches of QFDYGs was evaluated by using the 7 quality markers combined with fingerprints and principal component analysis (PCA). The analyzed results showed that baicalin, paeoniflorin, glycyrrhizic acid and hesperidin were the high content and stable quality markers. QFDYGs were characterized by overall consistency and individual ingredient differences among the 15 batches. Our quality evaluation study will provide reference for the further development and research of QFDYGs.

A Bayesian and Analytic Hierarchy Process-Based Multilevel Community Resilience Evaluation Method and Application Study

Cities are complex systems influenced by a multitude of factors, encompassing society, economy, culture, and environment. These factors make urban development highly vulnerable to various disturbances. Communities work as the fundamental building blocks of a city and directly impact both its social structure and spatial layout. Moreover, urban planning and policies play a crucial role in shaping the development trajectory of communities and the living environment for residents. This study aims to develop a Bayesian and analytic hierarchy process (BAHP)-based multilevel community resilience evaluation method to assess the ability of the community system to withstand disturbances and recover from them. First, the proposed method establishes a comprehensive assessment index system that can evaluate social and environmental resilience as well as institutional and managerial resilience at multiple levels. This system serves as a quantitative decision-making tool to elucidate the impact of various factors on community resilience. Furthermore, the “relative demand coefficient” (RDC) is proposed to compare different communities’ resilience by using Bayesian inference to determine its most probable value (MPV). To validate the applicability of the proposed method, an empirical study was conducted in the Dafapu community located in the Longgang District of Shenzhen. Meanwhile, a simulated virtual community is employed for comparison with the Dafapu community as an illustrative example showcasing the proposed method’s superior performance after integrating the RDC. The empirical study demonstrates that the proposed BAHP-based method can effectively and quantitatively highlight the recovery capabilities and limitations for different communities in various dimensions while providing a clear direction for enhancing urban community resilience. This research contributes new insights to the theory, provides a practical tool to quantify community resilience, and offers a viable path for the actual enhancement of community resilience.

Low-cost IoT-based multichannel spectral acquisition systems for roasted coffee beans evaluation: Case study of roasting degree classification using machine learning

Spectral analyses have become dependable and promising analytical methods for objective evaluation of coffee bean quality. However, although commercial instruments are available, financially accessible device solutions still need to be provided for this technique to become more widely available, particularly among emerging small and medium-scale coffee enterprises. This study developed an innovative multichannel spectral acquisition system integrated with an Internet of Things (IoT) platform for evaluating roasted coffee beans . The system was built using commercially available low-cost components with a total cost of approximately 114 USD. A study on the roasting degree classification combined with five machine learning algorithms was conducted based on 18 channels of spectral data (410–940 nm) acquired from the proposed device. Original spectral datasets were directly used for model development to minimize data processing and simplify the implementation of the best machine learning model on the device. The results revealed that the Random Forest (RF) model demonstrated a satisfactory performance (validation accuracy values reaching 0.988, precision 0.988, recall 0.988, and F1-score 0.987). Therefore, the proposed system can effectively classifiy roasted coffee beans and might have important applications in assisting roasteries during the roasting process in a real-time, non-subjective, and non-invasive manner.

An analytical method for reliability evaluation of power distribution system with time-varying failure rates

Reliability evaluation is crucial in assessing the power supply capacity and guiding the planning and operation of the distribution system. Traditional analytical reliability evaluation usually assumes a constant failure rate for components, implying that the life distribution follows an exponential distribution. However, in reality, the failure rate of components varies over time due to external disturbances and aging. As a result, traditional analytical reliability evaluation methods are no longer applicable. To address this issue, this paper presents an analytical method for evaluating the reliability of the distribution system with time-varying failure rates. The method considers short-term and long-term time-varying failure rates using density evolution and non-homogeneous Poisson process techniques, respectively. Both steady-state and instantaneous indices are calculated to reflect the level of system reliability. Finally, the proposed method is applied to the IEEE RBTS Bus 6 test system, demonstrating its correctness and efficiency.

A Comprehensive Review of Sustainable Assessment and Innovation in Jet Grouting Technologies

A Comprehensive Review of Sustainable Assessment and Innovation in Jet Grouting Technologies

Natural based hydrogels promote chondrogenic differentiation of human mesenchymal stem cells.

Background: The cartilage tissue lacks blood vessels, which is composed of chondrocytes and ECM. Due to this vessel-less structure, it is difficult to repair cartilage tissue damages. One of the new methods to repair cartilage damage is to use tissue engineering. In the present study, it was attempted to simulate a three-dimensional environment similar to the natural ECM of cartilage tissue by using hydrogels made of natural materials, including Chitosan and different ratios of Alginate. Material and methods: Chitosan, alginate and Chitosan/Alginate hydrogels were fabricated. Fourier Transform Infrared, XRD, swelling ratio, porosity measurement and degradation tests were applied to scaffolds characterization. After that, human adipose derived-mesenchymal stem cells (hADMSCs) were cultured on the hydrogels and then their viability and chondrogenic differentiation capacity were studied. Safranin O and Alcian blue staining, immunofluorescence staining and real time RT-PCR were used as analytical methods for chondrogenic differentiation potential evaluation of hADMSCs when cultured on the hydrogels. Results: The highest degradation rate was detected in Chitosan/Alginate (1:0.5) group The scaffold biocompatibility results revealed that the viability of the cells cultured on the hydrogels groups was not significantly different with the cells cultured in the control group. Safranin O staining, Alcian blue staining, immunofluorescence staining and real time PCR results revealed that the chondrogenic differentiation potential of the hADMSCs when grown on the Chitosan/Alginate hydrogel (1:0.5) was significantly higher than those cell grown on the other groups. Conclusion: Taken together, these results suggest that Chitosan/Alginate hydrogel (1:0.5) could be a promising candidate for cartilage tissue engineering applications.

Holistic quality evaluation method of Epimedii Folium based on NIR spectroscopy and chemometrics.

There are some problems in the quality control of Epimedii Folium (leaves of Epimedium brevicornum Maxim.), such as the mixed use of Epimedii Folium from different harvesting periods and regions, incomplete quality evaluation, and time-consuming analysis methods. Near-infrared (NIR) spectroscopy was conducted to establish a rapid overall quality evaluation method for Epimedii Folium. Quantitative models of the total solid, moisture, total flavonoid, and flavonol glycoside (Epimedin A, Epimedin B, Epimedin C, Icariin) contents of Epimedii Folium were established by partial least squares regression (PLSR). The root mean square error (RMSE) and correlation coefficient (R) were used to evaluate the performance of models. The qualitative models of Epimedii Folium from different geographic origins and harvest periods were established based on K-nearest neighbor (KNN), back-propagation neural network (BPNN), and random forest (RF). Accuracy and Kappa values were used to evaluate the performance of models. A new multivariable signal conversion strategy was proposed, which combines NIR spectroscopy with the PLSR model to predict the absorbance values of retention time points in the high-performance liquid chromatography (HPLC) fingerprint to obtain the predicted HPLC fingerprint. The Pearson correlation coefficient and cosine coefficient were used to evaluate the similarity between real and predicted HPLC fingerprints. Qualitative models, quantitative models, and the similarity between real and predicted HPLC fingerprints are satisfactory. The method serves as a fast and green analytical quality evaluation method of Epimedii Folium and can replace traditional methods to achieve the overall quality evaluation of Epimedii Folium.

Analysis of the Influence of Different Processing Methods on the Main Effective Components in Oviductus Ranae by High-Performance Liquid Chromatography with Diode Array Detector

Oviductus Ranae (OR) is one of the “treasures of Changbai Mountain” in China. It is used clinically for the treatment of infirmity after illness, fatigued spirit, cough, hemoptysis, and so forth. In this study, a simple and sensitive high-performance liquid chromatography-diode array detector (HPLC-DAD) method was developed for the simultaneous determination of five main effective components (1-methyl hydantoin, estradiol, cholesterol, 7-keto-cholesterol, and 4-cholesten-3-one) in OR and its different processed products. The results indicated that these five components showed good linear relationships within their own concentration ranges along with coefficients of determination ≥0.9996. Average recoveries ranged from 97.67% to 100.06%, with RSDs of 1.45%–1.99%. The proposed method was found to be simple, accurate, and stable, which provided an effective analytical method for quality control and evaluation of OR and its different processed products.

UV- Spectrophotometric technique- based method development and validation for simultaneous estimation of Ciprofloxacin HCl and Quercetin in bulk powder

Antibiotic resistance is increasing worldwide, especially among ocular pathogens and one of the major reasons for this severity is the formation of biofilm which causes antibacterial specialists like Ciprofloxacin HCl to be ineffective, but combining it with substances that inhibit quorum sensing, a process that leads towards the development of biofilm, such as Quercetin, in a single formulation is an effective way to treat these infections. Aiming to develop and approve a new analytical method for the simultaneous evaluation of ciprofloxacin HCl and quercetin in their mass powder, the current examination is expected to accomplish this. Two strategies—the simultaneous equation approach (I) and the absorbance ratio method (II)—were created and validated in accordance with ICH guidelines for specificity, selectivity, linearity, precision, and accuracy. Quercetin's and Ciprofloxacin HCl's absorbance maxima (λmax) were determined to be at 327 nm and 271 nm, respectively, with coefficient correlation values of 0.999 and 0.997. Their isosbestic point was noticed at a maximum wavelength of 283 nm. Both Ciprofloxacin HCl and Quercetin demonstrated linearity in the focus range from 1 µg/ml to 10 µg/ml when absorbances were measured at any of the aforementioned levels. It was discovered that the developed processes were exact and precise with less than 2% relative standard deviation (%RSD). %Recovery studies were found to be 98.62-101.15% for Ciprofloxacin HCl at 271nm, 99.34-100.94% for Quercetin at 327nm, 99.63-104.62%, and 101.23-102.64% for Ciprofloxacin HCl and Quercetin respectively at their isosbestic point. Because it was discovered to be simple, rapid, specific, selective, linear, exact, and based on absorptivity measurements, the established UV Spectrophotometric technique can be used for in vitro depiction and contemporaneous assessment of Ciprofloxacin HCl and Quercetin.

FT-IR spectroscopy coupled with HPLC for qualitative and quantitative analysis of different parts of Gentiana rigescens Franch.

In recent years, people are paying more and more attention to their nutritional health care, and the demand for medicinal plants is increasing year by year, which has aroused widespread concern about their quality. Therefore, the development of methods that enable rapid evaluation of medicinal plants is necessary. The present study was based on 132 Gentiana rigescens (G. rigescens) plants analyzed for the content of total secoiridoids (gentiopicroside, loganic acid, swertiamarin) in different parts of the plant using high performance liquid chromatography. Fourier transform infrared (FT-IR) spectroscopy was also used to characterize the overall chemical information of different parts of G. rigescens. The use of two-dimensional correlation analysis algorithms further improves the acquisition of spectral information and effectively extracts the more chemically informative bands (1750–400 cm−1). On this basis, FT-IR spectroscopy combined with chemometrics was proposed for the prediction of total secoiridoids content in G. rigescens roots, stems and leaves. The results showed that the content of total secoiridoids showed a pattern of root > stem, leaf and gentiopicroside > loganic acid > swertiamarin. Partial least squares discriminant analysis (PLS-DA) was effective in identifying samples from different parts of the body with 100 % model accuracy. The optimized Partial least squares (PLS) model was able to predict the content of gentiopicroside, loganic acid, and swertiamarin in both roots and leaves with RPD values greater than 1.4. Unfortunately, the model had difficulty in predicting the content of loganic acid and swertiamarin in stems (RPD < 1.4). Overall, the method has good stability and applicability, and provides an effective and rapid analytical method for the quality evaluation of medicinal plants.

Evaluation of stochastic flow lines with provisioning of auxiliary material

Flow lines are often used to perform assembly operations in multi-stage processes. During these assembly operations, components that are relatively small, compared to the work pieces travelling down the flow line, are mounted to the work pieces at a given stage. Those components, or more generally, any kind of auxiliary material, are provisioned to the corresponding production stage in a repetitive but not necessarily deterministic manner using a certain delivery frequency, each time filling the local storage up to a predetermined order-up-to level. Just like random processing times, machine failures, and repairs, the randomness of the provisioning process can impact the long-term throughput of such a flow line. In this paper, we develop a fast and accurate analytical performance evaluation method to estimate the long-term throughput of a Markovian flow line of this type for the practically important case of limited buffer capacities between the production stages. We first give an exact characterization of a two-machine line of that type and show how to determine system state probabilities and aggregate performance measures. Furthermore, we show how to use this two-machine model as the building block of an approximate decomposition approach for longer flow lines. As opposed to previous decomposition approaches, even the state space of the two-machine lines can become so large that an exact solution of the Markov chains can become impractical. We hence show how to set up, train, and use an artificial neural network to replace the Markov chain solver embedded in the decomposition approach, which then leads to an accurate and extremely fast flow line evaluation tool. The proposed methodology is evaluated by a comparison with simulation results and used to characterize the structural patterns describing the behaviour of flow lines of this type. The method can be used to systematically consider the combined impact of the delivery frequency and the local order-up-to levels for the auxiliary material when designing a flow line of this type.

Long-term reliability evaluation of integrated electricity and gas systems considering distributed hydrogen injections

Power-to-gas facilities consume surplus renewable electricity generation to produce alternative gases, such as green hydrogen. They can be injected into, and transported by the gas network for further use, which is a promising way toward a low-carbon energy system. However, injecting alternative gases into the gas systems can adversely affect the gas composition and the lifespan of components (e.g., gas pipelines), and may threaten the reliability of the entire integrated electricity and gas systems (IEGS) in the long term. To address this issue, this paper proposes a long-term reliability evaluation method for IEGS with distributed hydrogen injections. First, new reliability indices are proposed to evaluate both gas adequacy and gas interchangeability under uncertainties. Then, a multi-state reliability model of the pipeline is developed to characterize the corrosion evolution and hydrogen embrittlement in the long term. A contingency management scheme (CMS) is devised to minimize load curtailments and gas interchangeability deviations under component failures. Moreover, several reformulation techniques are tailored to convexify the original two-stage mixed-integer nonlinear CMS optimization problem. An analytical reliability evaluation method embedded with a system state reduction technique is designed to evaluate the long-term reliability of the IEGS more efficiently. Finally, the IEEE 24 bus Reliability Test System and the practical Belgium gas system are used to validate the proposed method. The numerical results show that the injection of alternative gas could jeopardize the reliability of the studied IEGS by 39.73% in the long term. However, we have observed a critical time window (the 8th–9th year), in which if we conduct the inline inspection and maintenance more frequently, the reliability could be improved by up to 53.31%. These results suggest that the injection of alternative gas is beneficial, but should be carefully regulated to maintain the reliability of IEGS.

Integration of Social Return on Investment with Health Impact Assessment and evaluation frameworks

Abstract Background To enable sustainable investment in public health to aid recovery from the COVID-19 pandemic and other global adversities, it is necessary to incorporate social, economic and environmental outcomes and value measurement into decision-making processes. Holistic frameworks, such as Social Return on Investment (SROI), look to capture this through understanding stakeholder impact and committing to valuing and monetizing their perceived outcomes. However, opportunities for conducting standalone SROI analyses may be limited due to resources. A solution is to undertake an SROI analysis alongside other analytical frameworks, impact assessments or evaluation methods. Methods In 2023, two innovative case studies in Wales, United Kingdom, integrated SROI into evaluations and assessments. The first is in conjunction with a Health Impact Assessment (HIA) on a sexual health self-testing service in a prison setting, while the second is in combination with an evaluation of a breastfeeding and infant nutrition programme. Results SROI offers a broad framework through which to integrate a holistic health economics lens to different types of evaluation and impact assessment. Traditional evaluations and HIA share common elements with SROI, for example developing a theory of change in evaluations and the screening and scoping stages of a HIA. Learning reflections for future integration were identified, for example ensuring quality assessment approaches align and ensuring design is scoped to enable effective integration from study outset. Conclusions SROI is the predominant tool used to assess the wider value of policies or programmes by identifying and evaluating holistic outcomes which have traditionally been difficult to measure. However, opportunities for standalone SROI studies may be limited for several reasons. As demonstrated, integrating SROI into different methods and approaches offers the opportunity to expand thinking on understanding value in a resource efficient way. Key messages • Social Return on Investment (SROI) can be effectively integrated into different evaluation approaches and Health Impact Assessment. • Integration of approaches has been shown to be resource efficient and beneficial to better understanding value and impact on health and well-being.

An analytical method for phase noise evaluation in a microwave VCO stabilized by an interferometry structure

This study proposes a set of mathematical formulations to model a microwave interferometric structure to stabilize a free-running oscillator. The microwave interferometric structure employed a carrier suppression system to lock the voltage-controlled oscillator (VCO) frequency to a high-Q resonator and clean up the phase noise spectrum. Analytical relations were derived by modeling the system's stabilization loop components with an equivalent system transfer function. This model optimized the feedback loop circuits for a reliable frequency-locked structure with suitable spectral purity using well-known linear system methods. Thus, the phase noise of an oscillator's output signal locked to a high-Q cavity resonant frequency could be predicted and optimized. Furthermore, a prototype cavity-stabilized oscillator (CSO) system with commercial components wasimplemented to validate the proposed model. The results demonstrated that approximately 40 dB phase noise reduction at 10 kHz offset frequency was obtained at X-band, exhibiting good agreement with the proposed mathematical model. Moreover, the prototype structure's feedback circuits were designed, and their performance was validated using simulation and measurement data.

Anions Cations Balance in Rainwater of Lanka, Mirzamurad and Babatpur, Varanasi

The analysis of anions cations balance in rainwater samples, were carried out in the Department of Soil Science and Agricultural Chemistry Laboratory at the Institute of Agricultural Sciences, Banaras Hindu University, Varanasi during 2015. The rainwater samples of three different location viz. Lanka, Mirzamurad and Babatpur places of BHU, Varanasi, which are relatively free from industrial pollution were examined during south-west monsoon period (July to September) in Varanasi using standaralize selection and analytical methods for evaluation of anions cations balance of rainwater. It was revealed from the Tables 1-3 that the total mineralization varied from 53.65 to 171.38 mg L-1 in Lanka, 25.49 to 153.55 mg L-1 in Mirzamurad and 73.32 to 286 mg L-1 in Babatpur, respectively. In an average total mineralization was highest in Babatpur followed by Lanka and Mirzamurad.

Implementation of the risk-oriented model in the system of the professional hygienic training and certification in the Russian Federation (literature review)

The object of the study is the currently existing system of professional hygienic training and certification as an integral component of hygienic training and education of citizens.&#x0D; The purpose of the study is to substantiate the risk-based approach in the implementation of professional hygiene training and certification, and the attempt to integrate this legislatively fixed phenomenon into the structure of preventive measures.&#x0D; There were used the analytical method for evaluation of regulatory and legal documentation, documentation of the Federal Medical Institution “Center for Hygiene and Epidemiology in the Voronezh Region”, as well as literary sources on the subject of research of such information resources as Scopus, Web of Science, CyberLeninka, RSCI, eLibrary.RU mainly for the last 5 years (90% of the total number of cited sources). There was analyzed the experience of the existence of a risk-oriented approach in the implementation of activities in various areas (including the activities of Rospotrebnadzor bodies and subordinate institutions on the example of the Center for Hygiene and Epidemiology in the Voronezh Region), as well as to propose and test a risk-oriented model in the implementation of professional hygiene training and certification of employees in epidemiologically significant objects. The methodology of this procedure involves ranking the positions of personnel of epidemiologically significant facilities based on their attitude to the labour/technological process into 3 groups. In proportion to belonging to a particular rank group, the frequency, volume, and form of professional hygiene training and certification are reasoned. A methodology is proposed for the introduction of legally fixed components of the hygienic training system into the structure of preventive measures of Rospotrebnadzor bodies to get rid of formalization in the mode of constant monitoring of the level of knowledge of sanitary and epidemiological orientation of employees in epidemiologically significant facilities.&#x0D; Thus, the integration of the risk-oriented model into the system of hygienic training will in the future prevent a decrease in the quality of knowledge in the field of hygiene and epidemiology among employees in epidemiologically significant facilities and positively affect the sanitary and epidemiological situation in the country.