Values Of Indicators Research Articles

Vehicle Turning Carbon Emissions and Highway Planar Alignment Design Indicators

The carbon emitted by vehicles traveling on curved roads is greatly affected by the alignment of the route, yet the mechanism behind this is not yet clear, leading to current horizontal alignment designs being unable to avoid this problem. To clarify the principles and indicator thresholds of low-carbon design for planar geometry, this study takes the carbon emission of traveling on curved routes as the research object, and establishes a relationship model between carbon emissions and design indicators based on the principles of vehicle dynamics and kinematics. Field tests were conducted to validate the quantitative relationship model. The model shows that both radius and superelevation are negatively correlated with carbon emissions, while the lateral force coefficient is positively correlated with carbon emissions. The contribution of radius to carbon emissions is greater than that of superelevation. This study clarifies the recommended values of low-carbon design indicators by assessing carbon emissions according to the current route design specification, outlines the principles of superelevation settings, and proposes a methodology to deal with the relationship between superelevation and the lateral friction coefficient. The research findings promote the quantification and standardization of low-carbon highway design, contributing to the early mitigation of high-carbon emissions from curved traffic during the design phase.

Establishment and validation of a predictive model for peripherally inserted central catheter-related thrombosis in patients with liver cancer.

Peripherally inserted central catheters (PICCs) are commonly used in hospitalized patients with liver cancer for the administration of chemotherapy, nutrition, and other medications. However, PICC-related thrombosis is a serious complication that can lead to morbidity and mortality in this patient population. Several risk factors have been identified for the development of PICC-related thrombosis, including cancer type, stage, comorbidities, and catheter characteristics. Understanding these risk factors and developing a predictive model can help healthcare providers identify high-risk patients and implement preventive measures to reduce the incidence of thrombosis. To analyze the influencing factors of PICC-related thrombosis in hospitalized patients with liver cancer, construct a predictive model, and validate it. Clinical data of hospitalized patients with liver cancer admitted from January 2020 to December 2023 were collected. Thirty-five cases of PICC-related thrombosis in hospitalized patients with liver cancer were collected, and 220 patients who underwent PICC placement during the same period but did not develop PICC-related thrombosis were randomly selected as controls. A total of 255 samples were collected and used as the training set, and 77 cases were collected as the validation set in a 7:3 ratio. General patient information, case data, catheterization data, coagulation indicators, and Autar Thrombosis Risk Assessment Scale scores were analyzed. Univariate and multivariate unconditional logistic regression analyses were performed on relevant factors, and the value of combined indicators in predicting PICC-related thrombosis in hospitalized patients with liver cancer was evaluated using receiver operating characteristic (ROC) curve analysis. Univariate analysis showed statistically significant differences (P < 0.05) in age, sex, Karnofsky performance status score (KPS), bedridden time, activities of daily living impairment, parenteral nutrition, catheter duration, distant metastasis, and bone marrow suppression between the thrombosis group and the non-thrombosis group. Other aspects had no statistically significant differences (P > 0.05). Multivariate regression analysis showed that age ≥ 60 years, KPS score ≤ 50 points, parenteral nutrition, stage III to IV, distant metastasis, bone marrow suppression, and activities of daily living impairment were independent risk factors for PICC-related thrombosis in hospitalized patients with liver cancer (P < 0.05). Catheter duration of 1-6 months and catheter duration > 6 months were protective factors for PICC-related thrombosis (P < 0.05). The predictive model for PICC-related thrombosis was obtained as follows: P predictive probability = [exp (Logit P)]/[1 + exp (Logit P)], where Logit P = age × 1.907 + KPS score × 2.045 + parenteral nutrition × 9.467 + catheter duration × 0.506 + tumor-node-metastasis (TNM) staging × 2.844 + distant metastasis × 2.065 + bone marrow suppression × 2.082 + activities of daily living impairment × 13.926. ROC curve analysis showed an area under the curve (AUC) of 0.827 (95%CI: 0.724-0.929, P < 0.001), with a corresponding optimal cut-off value of 0.612, sensitivity of 0.755, and specificity of 0.857. Calibration curve analysis showed good consistency between the predicted occurrence of PICC-related thrombosis and actual occurrence (P > 0.05). ROC analysis showed AUCs of 0.888 and 0.729 for the training and validation sets, respectively. Age, KPS score, parenteral nutrition, TNM staging, distant metastasis, bone marrow suppression, and activities of daily living impairment are independent risk factors for PICC-related thrombosis in hospitalized patients with liver cancer, while catheter duration is a protective factor for the disease. The predictive model has an AUC of 0.827, indicating high predictive accuracy and clinical value.

The microbiome structure and shifts in surface and subsurface soil horizon of Haplic Luvisol under different crops cultivation

The presented study investigated the comparative approach to evaluate prokaryotic and fungal soil communities in association with various plant crops along the genetic soil horizon using a high-throughput sequencing technique, with special emphasis on subsoils. We evaluate the diversity, abundance and structure of soil microbiome through the depth profiles in Haplic Luvisol (Cutanic) soil collected from lucerne, pear orchard, vineyard, and wheat crop. The structure of soil microbial communities differed due to crop type as well as depth of soil layer. Additionally, some basic physicochemical properties (e.g. total organic carbon - TOC, total nitrogen - TN, dissolved organic carbon - DOC, dissolved nitrogen – DN, pH, clay content) as well as mass and morphological parameters of the plant roots were determined. The highest clay content was noted in illuvial (Bt) horizons (in all profiles). The content of the studied C and N forms was the highest in the Ap horizon and in some subsurface layers and generally decreased with depth. Generally, the highest TOC, TN and DOC content was noted in the orchard profile, while the lowest occurred in the vineyard profile. The opposite trend was found for available Mg content. In turn, the highest DN was determined in the winter wheat profile. Overall, the decrease of the abundances of the most dominant phyla with depth was observed. Using a holistic approach via microbiome investigation of bacterial and fungal communities along soil horizon in a long-term land use with different plant cultivation, we showed that land management not only affect α-diversity but also shift the structure and the composition of bacterial and fungal communities in response to land use, in particular we identified the highest values of biodiversity indicators were found under lucerne and the lowest under vineyard. Future work needs to include the importance of soil type in shaping soil microbial communities under the same land use and plant cultivation, especially under subsurface soil layers.

Soil-Microbial Interactions in Rice-Loach-Shrimp Integrated Farming: Multivariate Analysis of Ecological Intensification

Ecological intensification of agriculture is crucial for sustainable food production, yet the complex soil-microbial interactions in integrated farming systems remain poorly understood. This five-year study compared a Rice-Loach-Shrimp (RLS) integrated system with conventional Rice Monoculture (RM) using advanced multivariate techniques, including correlation analysis, Principal Component Analysis, Random Forest modeling, and Structural Equation Modeling. The RLS system exhibited higher values for key soil health indicators compared to RM, although the overall correlation patterns were similar. Stronger correlations among soil organic matter, enzyme activities, and microbial populations were observed in RLS, suggesting a more tightly coupled soil ecosystem. Available phosphorus and soil organic matter were identified as primary drivers of microbial community structure. The RLS system showed a slightly higher mean pH and weaker correlations between pH and other indicators compared to RM, indicating potential altered biogeochemical processes. Complex cascading effects among soil properties, enzyme activities, and microbial populations were revealed in RLS. These soil health benefits persisted throughout the study period, demonstrating the potential of RLS as an effective ecological intensification strategy for sustainable rice production.

ИЗУЧЕНИЕ ОСОБЕННОСТЕЙ СТЕКЛООБРАЗОВАНИЯ ЭМАЛЕВЫХ ФРИТТ ДЛЯ СТАЛЬНЫХ ОБЛИЦОВОЧНЫХ ПАНЕЛЕЙ

Cladding of buildings and structures, combining decorative, protective and thermal insulation functions, is currently in great demand in the construction industry. One of the effective areas for using vitreous and glass-crystalline enamel coat-ings is the protection of steel cladding panels for construction purposes. Therefore, there is a need to create and widely implement competitive enamel-coated panels made in Russia with specified properties. The work identifies the areas of glass formation and constructs a composition diagram in the SiO2–B2O3–Na2O–RxOy system of glass areas, which are the basis for the production of ground and top enamels. The physicochemical patterns of glass formation in the Na2O–B2O3–Al2O3–SiO2–RxOy system for the production of enamel coatings have been established by varying the values of the connectivity indicators of the aluminum-boron-silicon-oxygen framework.

Preoperative blood-based nutritional biomarkers as significant prognostic factors after intravesical BCG therapy in patients with non-muscle-invasive bladder cancer.

The aim of this study was to investigate the prognostic role of blood-based nutritional biomarkers, including red blood cell (RBC count), hemoglobin (Hb), total protein (TP), albumin, the serum albumin to globulin ratio (AGR) and the prognostic nutritional index (PNI) in patients who underwent intravesical treatment for non-muscle invasive bladder cancer (NMIBC). A total of 501 NMIBC patients who received intravesical Bacillus Calmette-Guerin (BCG) treatment following transurethral resection of bladder tumor (TURBT) were included. The optimal cutoff values for these nutrition-based indicators were determined using receiver operating characteristic curve analysis. We observed a significantly higher recurrence-free survival (RFS) rate in patients with elevated levels of RBC count, Hb, TP, and albumin. Cox univariate and multivariate Cox regression analyses demonstrated that serum albumin (P = 0.002, HR = 0.51, 95%CI: 0.33-0.78), RBC count (P = 0.002, HR = 0.50, 95%CI: 0.32-0.77), TP (P = 0.028, HR = 0.62, 95%CI: 0.41-0.95), Hb (P = 0.004, HR = 0.53, 95%CI: 0.33-0.84), AGR (P = 0.003, HR = 0.46, 95%CI: 0.27-0.76) and PNI (P = 0.019, HR = 0.56, 95%CI: 0.35-0.91) were significant independent factors predicting RFS. These cost-effective and convenient blood-based nutritional biomarkers have the potential to serve as valuable prognostic indicators for predicting recurrence in NMIBC patients undergoing BCG-immunotherapy.

Оценка результативности мер госполитики в сфере реализации стратегического национального приоритета «Экономическая безопасность»

In the context of intensifying external challenges and threats to ensure economic security, it is extremely important to ensure the continuity of state policy measures across the entire vertical of strategic planning documents, to prevent semantic deformation of goal setting, and to prevent the presence of contradictions both in the substantive formulations and in the quantitative values of target indicators of documents. The National Security Strategy of the Russian Federation, adopted on July 2, 2021 by Decree of the President of the Russian Federation No. 400, justified the need to monitor the implementation of the nine strategic national priorities formulated in it, including the priority “Economic Security”. A comparative analysis of indicators for monitoring the state of economic security available in the list of official statistical surveillance was carried out. It is shown that in order to comply with the principle of balance in the strategic planning system, it is first necessary to update and ensure mutual compliance of the goals and objectives of the Economic Security Strategy (approved by Decree of the President of the Russian Federation of May 13, 2017 No. 208) with the goals and objectives of the strategic national priority “Economic Security” from the National Security Strategy, taking into account the challenges and threats specified in this document, which should become the basis for the development and regulatory consolidation of a list of indicators for the implementation of the corresponding national priority.

NLR, MLR, and PLR are adverse prognostic variables for sleeve lobectomy within non-small cell lung cancer.

The goal of the research was to examine the value of peripheral blood indicators in forecasting survival and recurrence among people suffering central-type non-small cell lung cancer (NSCLC) undergoing sleeve lobectomy (SL). Clinical information was gathered from 146 individuals suffering from NSCLC who had SL at our facility between January 2014 and May 2023. Peripheral blood neutrophil lymphocyte ratio (NLR), monocyte lymphocyte ratio (MLR), and platelet lymphocyte ratio (PLR) levels were determined by receiver operating characteristic (ROC) curve to establish the threshold points. Kaplan-Meier survival analysis was employed to evaluate the prognostic value of different groupings, and both univariate and multivariate Cox proportional hazards model (referred to as COX) were performed. The disease-free survival (DFS) and overall survival (OS) cutoff values were carried out via ROC analysis. Kaplan-Meier survival analysis revealed notable differences in OS for NLR (≥2.196 vs. <2.196, p = 0.0009), MLR (≥0.2763 vs. <0.2763, p = 0.0018), and PLR (≥126.11 vs. <126.11, p = 0.0354). Similarly, significant differences in DFS were observed for NLR (≥3.010 vs. <3.010, p = 0.0005), MLR (≥0.2708 vs. <0.2708, p = 0.0046), and PLR (≥126.11 vs. <126.11, p = 0.0028). Univariate Cox analysis showed that NLR (hazard ratio [HR]: 2.469; 95% confidence interval [CI]: 1.416-4.306, p < 0.001), MLR (HR: 2.192, 95% CI: 1.319-3.643, p = 0.002) and PLR (HR: 1.696, 95% CI: 1.029-2.795, p = 0.038) were correlated alongside OS. Multivariate Cox analysis showed that NLR (HR: 2.036, 95% CI: 1.072-3.864, p = 0.030) was a separate OS risk variable. Additionally, the pN stage (HR: 3.163, 95% CI: 1.660-6.027, p < 0.001), NLR (HR: 2.530, 95% CI: 1.468-4.360, p < 0.001), MLR (HR: 2.229, 95% CI: 1.260-3.944, p = 0.006) and PLR (HR: 2.249, 95% CI: 1.300-3.889, p = 0.004) were connected to DFS. Multivariate Cox analysis showed that pN stage (HR: 3.098, 95% CI: 1.619-5.928, p < 0.001) was a separate DFS risk variable. The study demonstrates that NLR, MLR, and PLR play a convenient and cost-effective role in predicting survival and recurrence among individuals alongside central-type NSCLC having SL.

Food security in Ukraine today’s conditions

The system-forming element of national security is food security, which guarantees effective management of the food system, ensuring the food needs of the appropriate quantity and quality of each country’s citizen. Despite the significant potential of the agricultural sector, which forms the basis of food security, the need to analyse the state of food security in the current situation is due to military operations on the territory of Ukraine, which led to its negative global results. In this regard, the need to develop effective strategies and legal regulation is essential to ensure national and global food security, which in turn requires coordination of efforts of all countries and international organisations through international cooperation. The study aims to establish a pattern regarding the current state of food security by analysing the impact of availability, access, usefulness and stability of food supply on food security. Research methods: comparative analysis; taxonomic analysis; systematisation, generalisation. The survey found that Ukraine’s position in the Global Food Security Index (FSI) among 113 countries in 2022 worsened by 13 points, where the worst indicators for domestic food security are sustainability and adaptability (43.5 points out of 100 and 94th place globally) and economic affordability of food (48.1 points out of 100 and 93rd place in the world). It was found that the actual consumption of vegetables, melons, potatoes, and oil in 2021 was slightly higher than the rational norm, indicating sufficient consumption of these products, while the actual consumption of products that are lower than the rational norm includes meat and meat products, milk and dairy products, fish and fish products, and fruits, berries, and grapes. It has been determined that since 2016, the number of kilocalories in the daily diet of the population of Ukraine has not reached the minimum norm of consumption of basic foodstuffs for the working population. It has been established that in 2020 and 2021, the value of the taxonomic indicator for assessing the level of food security (I) has been decreasing, i.e. the distance to the reference vector has been increasing, which indicates a decrease in the level of food security. The forecasting results suggest a downward trend in the food security index for the period 2022–2027, and there is an urgent need to take measures to eliminate this trend and improve the value of the index, which is extremely important for the security of the state, especially in times of war.

State and ameliorative properties of old original oak stands

The ameliorative properties of forest stands are essential for developing effective measures for environmental protection and sustainable use of forest resources. The purpose of the study was to assess the current condition and performance of erosion control properties of old oak stands of natural origin. The method of assessing the condition of old oak plantations using an integral indicator that takes into account biometric, ameliorative and health characteristics of stands, as well as agrochemical indicators of the soil has been tested. Field work was carried out on four experimental plots, where 794 age-old trees were enumerated. Comprehensive studies included determination of biometric indicators, analysis of root systems, detection of the content of available forms of nitrogen, mobile phosphorus, mobile potassium in soil. Soil hardness was measured with a durometer and soil water permeability using steel cylinders. High values of integral indicators were obtained in the experimental areas, which range from 11.9 to 19.7%. They guarantee the effective performance of erosion control properties by native old-growth forests. It has been researched that the proposed integral indicator of forest stand condition not only allows for assessing their current state but also demonstrates the effective control of erosion and ecological functions of the stand. It was established that essential requirement is to convert the absolute values of various indicators into relative values, with mandatory consideration of their positive or negative impacts on the forest stands themselves. It was found that an integral condition indicator can be used for erosion control plantations of any age range. The results can be used to develop biodiversity conservation programs and establish effective strategies for managing forest resources

The state of female reproductive health in a city with a large petrochemical complex

Introduction. The demographic situation in the country is characterized by a natural decline in the population, which determines the special importance of the protection of motherhood and childhood. The system of obstetrics largely affects the health status of the population and the future generation. Therefore, the study of the state of obstetrics has a high social significance and is relevant. Purpose of the study. To assess the state of female reproductive health of the population living in a city with a large petrochemical complex. Materials and methods. An analysis of primary digital data characterizing the intensive and extensive indicators of the state of obstetric care in the city of Salavat for 2020 was performed. According to the report of the Ministry of Health of the Republic of Bashkortostan “The state of health of the population and the activities of medical institutions of the Republic of Bashkortostan in 2020” a comparative analysis was carried out. Results. An analysis of the state of obstetric care in the city of Salavat showed that women began to give birth less, they interrupted one third of the onset of pregnancies with abortions. The number of abortions per 1,000 women of childbearing age is 1.5 times higher than in the republic. Over the years, the number of abortions is growing against the background of their decline in the republic. Women who wish to give birth in the vast majority come under the supervision of an antenatal clinic until the 12-week gestation period. The results of the course of pregnancy, childbirth, and the postpartum period, the absence of maternal mortality indicate to a high level of obstetric care. However, he draws attention to the fact that 45.6±1.5% of deliveries and the postpartum period proceeded against the background of complications, among which the most significant were anemia, premature rupture of the amniotic membrane, and violations of labour activity. Every third woman in labour underwent a caesarean section, every fifth - vacuum extraction. The health indicators of the fetus and newborn in the trend in years are improving and more favourable than in the republic as a whole, but 58.9±1.3% of neonates were born sick and fell ill. Mainly in the form of asphyxia during childbirth (18.6±1.2%) and infectious diseases (39.5±4.4%). Preterm infants get sick 2 times more often than full-term ones and the main reason is asphyxia during delivery and respiratory disorders over the perinatal period. Limitations. The analysis of the primary digital values of obstetric care indicators of the forms of federal statistical observation and accounting of medical institutions in Salavat for 2020 was carried out. Conclusion. More favourable health indicators of pregnant women, mothers, fetuses in Salavat in comparison with republican and all-Russian ones indicate to the high-quality, qualified obstetric care. The higher incidence of respiratory diseases in infants during the first year of life living in a city of large petrochemistry determines the need for special in-depth studies.

Assessment of Forest Suitability of Soils in the Dry Steppe Zone of the Volgograd Region

Background: Assessing the forest suitability of soils is one of the key areas of agroforestry science. Research in this direction makes it possible to characterize areas where tree and shrub vegetation does not grow under natural conditions. The research carried out makes it possible to assess the possibilities of afforestation in the area of interest; they contribute to the perception of landscape diversity in the context of the reclamation efficiency of the created systems of protective forest plantings, their productivity and durability. Identification of soil suitability for forests is closely related to the assessment of soil quality and fertility. The study of forest suitability of soils has a pronounced regional aspect. This article presents materials from cartographic studies of the dry steppe zone of the Volgograd region of the Russian Federation. The study region is characterized by a wide variety of soil cover. Dark chestnut, chestnut soils and light chestnut soils are common in this zone. The processes of erosion, salinizationand deflation make a great contribution to the diversity of soil complexes. Methods: In this work, the cartographic research method is the main one. Achieving the research goal, creating a cartographic model of the forest vegetation properties of the study area, was carried out in three stages. At the first stage, the contours of the soil map at a scale of 1:400000 were classified into forest suitability groups. During the second stage, based on the functionality of the QGIS software package, new soil contours were created. At the third stage, area characteristics were taken, share parameters were calculated and an analysis of changes in soil cover was carried out in natural and economic areas. The research materials presented in this article were obtained during the implementation of the state task of the research work of the FSC of Agroecology RAS. The research period is from 2021-08 to 2023-11. Result: The result of the research is the creation of a cartographic model of the forest suitability of soils in the dry steppe zone of the Volgograd region. Based on measuring the areas of soil contours for each of the 17 administrative districts, the ratio of groups of forest suitability of soils was established. The revealed value of the share indicator for the study area as a whole is as follows: soils I, forest suitability groups occupy 10.4% of the territory; II -9.3%; III - 68.3%; IV - 12%. The data obtained are necessary for planning agroforestry work in the study area.

Un Indicator values for food shelf life prediction: A review

The short time that people have to cook their own food has led industries to satisfy the need for ready-to-eat products. This has motivated a progressive increase in studies that can determine the time at which the product can be safely consumed (shelf life). There are several methods for determining the shelf life of products; but regardless of the method used, the key is to know the minimum and/or maximum values of the indicators that define their deterioration. These values of spoilage indicators can change according to the compositional conditions of the food or the conditions under which it is stored during its shelf life. This review provides values for indicators used in tests for the determination of food shelf life, according to their nature, and environmental conditions, as way to be used by researchers as a reference in their predictions. The results of this research show scientific evidence through published articles about indicator values, their changes, referring to food shelf life kinetics. These values can be used for the prediction of food shelf life, for comparison purposes with their respective studies. It will be of importance for consumers, who will be able to use these values as a reference in the storage of these products. Shelf life indicator values for foods not considered in this work should be evaluated or experimented with in future work.

Assessing the effectiveness of regional environmental quality management

Purpose: is to present the author's modification of the methodology for assessing the effectiveness of regional environmental quality management, created on the basis of the approved regulatory, legal and methodological framework in the field of assessing the effectiveness of the activities of regional authorities.Methods: along with general scientific methods of information processing, comparative analogies and scientific generalization, analysis and synthesis, methods of content analysis of the regulatory framework, economic and statistical analysis, mathematical processing and visualization of data, as well as clustering techniques were used to unite regions into homogeneous groups that have common environmental quality characteristics.Results: the authors have performed the critical analysis of the methodology for calculating the indicator “Environmental Quality” within the framework of the approved regulatory and methodological framework in the field of assessing the effectiveness of the activities of regional authorities and identified its shortcomings; have developed proposals to eliminate them and modify the methodology. Based on publicly available information, a method for clustering regions by environmental quality was proposed and tested in the context of accepted determinants of environmental quality. The proposed modification of the methodology for assessing the effectiveness of regional management in terms of improving the calculation of the integral indicator “Environmental Quality” will improve the objectivity of assessing the quality of regional management of natural resources.Conclusions and Relevance: using the actual values of environmental quality indicators instead of indices of their dynamics and plan implementation will make it possible to cluster regions according to the proposed determinants of environmental quality. Comparison within a cluster of regions with similar natural and economic conditions will provide authorities with the opportunity to develop the natural resource management strategy and develop effective measures in the field of environmental management, taking into account the dynamics of the state of techno-natural systems.

The clinical value of nutritional and inflammatory indicators in predicting pneumonia among patients with intracerebral hemorrhage

Immunosuppression and malnutrition play pivotal roles in the complications of intracerebral hemorrhage (ICH) and are intricately linked to the development of stroke-associated pneumonia (SAP). Inflammatory markers, including NLR (neutrophil-to-lymphocyte ratio), SII (systemic immune inflammation index), SIRI (systemic inflammatory response index), and SIS (systemic inflammation score), along with nutritional indexes such as CONUT (controlling nutritional status) and PNI (prognostic nutritional index), are crucial indicators influencing the inflammatory state following ICH. In this study, our objective was to compare the predictive efficacy of inflammatory and nutritional indices for SAP in ICH patients, aiming to determine and explore their clinical utility in early pneumonia detection. Patients with severe ICH requiring ICU admission were screened from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The outcomes included the occurrence of SAP and in-hospital death. Receiver operating characteristic (ROC) analysis, multivariate logistic regression, smooth curve analysis, and stratified analysis were employed to investigate the relationship between the CONUT index and the clinical outcomes of patients with severe ICH. A total of 348 patients were enrolled in the study. The incidence of SAP was 21.3%, and the in-hospital mortality rate was 17.0%. Among these indicators, multiple regression analysis revealed that CONUT, PNI, and SIRI were independently associated with SAP. Further ROC curve analysis demonstrated that CONUT (AUC 0.6743, 95% CI 0.6079–0.7408) exhibited the most robust predictive ability for SAP in patients with ICH. Threshold analysis revealed that when CONUT < 6, an increase of 1 point in CONUT was associated with a 1.39 times higher risk of SAP. Similarly, our findings indicate that CONUT has the potential to predict the prognosis of patients with ICH. Among the inflammatory and nutritional markers, CONUT stands out as the most reliable predictor of SAP in patients with ICH. Additionally, it proves to be a valuable indicator for assessing the prognosis of patients with ICH.

Main trends in providing medical personnel to the state healthcare system of the Russian Federation

The purpose of this study is to analyze trends in the provision of medical personnel to the state health care system during the implementation of state programs and national projects in the field of health care. Materials and methods. Statistical collections of the Ministry of Health of Russia for 2012–2023, regulatory legal acts, passport of national project. Methods of descriptive statistics and analytical were used. Results. A reduction in indicators of the supply of doctors, paramedical personnel and the ratio of doctor/nursing medical personnel and a discrepancy between their target values established in state programs and national projects for the development of healthcare was revealed. Differences in the values of target indicators of state programs and national projects have been identified. Conclusion. The need to take urgent measures to eliminate the reduction in the supply of medical personnel has been identified. Differences in the dynamics of staffing indicators indicate the heterogeneity of the level of development of regions and their preparedness for events within the framework of state programs and national projects to achieve target indicators. Measures are needed to eliminate territorial imbalances, as well as to search for mechanisms to equalize differences between the constituent entities of the Russian Federation. Differences in the values of indicators for achieving the goals of state programs and national projects complicate their assessment and determine the need to form a hierarchy of state programs and national projects, as well as the development of scientifically based target indicators, taking into account regional characteristics and the needs of the population for medical care.

Determining the reliability of complex RES by through decomposition by lower and upper limit values

Formulation of the problem. Reliability modeling of complex systems can be greatly simplified by decomposition into its component elements. However, as the number of objects in complex systems increases, modeling and analyzing their reliability becomes more labor-intensive, even when using methods based on finite formulas. One reason for the complexity is the increasing number of possible states of the system. Target. To facilitate the process of calculating the reliability of complex radio-electronic systems, you can apply the method of calculating the lower and upper limit values of reliability indicators. Results. In the process of accurately calculating indicators for each possible state of the system, we can estimate the minimum and maximum values of these indicators. Practical significance. Estimation of the lower and upper values of reliability indicators allows present the range of values within which the real value of the reliability indicator lies. It helps to take into account a variety of factors, such as different operating conditions, variations in production process, statistical deviations and other variations in the system.

The Use of DEA for ESG Activities and DEI Initiatives Considered as “Pillar of Sustainability” for Economic Growth Assessment in Western Balkans

Data envelopment analysis (DEA), which is frequently used in efficiency analysis, has also been applied to the measurement of entrepreneurial efficiency for the attainment of desired values of macroeconomic indicators (such as the objectives of sustainable economic growth). For this application, DEA takes into account the economic, environmental, and social impact of entrepreneurship as the three dimensions of sustainability. This paper aimed to investigate the potential for a scalable (in diversity, equity, and inclusion dimensions) DEA application in sustainable entrepreneurship performance (SEP) assessment through three channels (assessing SEP without ESG activities; ESG→SEP; ESG (DEI)→SEP) and present an empirical study related to economic growth assessment and its environmental, social, and governance (ESG), and diversity, equity and inclusion (DEI) determinants across selected Western Balkans (WB) and European Union (EU) companies, based on the use of the proposed scalable DEA. It highlights how crucial a scalable nonparametric approach to macroeconomic efficiency analysis is and provides a more comprehensive perspective to the researchers on this issue. This study used a non-oriented DEA model with variable return-to-scale in a group of 60 WB and 60 EU companies, all of which adopted ICT/Blockchain (BC) technologies (the 11 ESG metrics). The annual corporate data was collected for seven years from 2017 until 2023. We projected the selected data to three country particularities (mass acceptance, adoption, and implementation of ICT/BC; mass labor force return from overseas; and ethnic, cultural, and religious particularities) and performed statistical analysis. Our findings estimate the influence of these three particularities on economic growth potential. In all countries’ cases, we found a statistically sound (significant, positive) correlation between ESG and SEP’s economic growth quality performance. Particularly, when corporate social and DEI initiatives mediate (channel III), SEP’s economic growth gains the best performance (+18%) in countries with ethnic, cultural, and religious particularities (BiH, NM), a +17% in countries enjoying massive labor force return from overseas (AL) and performs well in quality (particularly in the innovation and integrity) SEP performance success dimensions (all WB and EU countries). The proposed scalable DEA shows clearly, by performing an empirical analysis, which modern business (adopting ICT/BC) is the most effective in achieving sustainability projected to country particularities, helping corporate management to improve economic growth efficiency.

Rough bed hydrodynamics under wave-current interactional flow field: double averaging approach

ABSTRACT The effect of surface wave on the double-averaged (DA) current-only flow properties is examined over two different types of rough beds comprising hemispherical elements with regular and staggered arrangements. For each case, the relative roughness spacing of p/r = 4 is maintained, where p = pitch distance and r = hemisphere height. The changes in turbulence characteristics against the water depth are analysed for superimposed surface waves propagating along the current with 1 and 2 Hz frequencies. The effect of regular and staggered roughness arrangements on different turbulence characteristics is explored. Results demonstrate that the DA stream-wise velocity decreases and increases at the outer region and within the roughness region, respectively, due to wave propagation. Owing to the surface wave, the DA intensity and form-induced intensity increase above the roughness layer and decrease within the bottom boundary layer. The values of form-induced intensities are smaller (greater) than the DA turbulence intensities at each considered flow depth within the roughness (outer) layer. For the entire flow depth, the values of DA Reynolds stress decrease due to wave interactions along a steady current. Again, the turbulence is observed to be close to isotropic for the current-only flow at the outer zone, while the flow transits to an anisotropic state with wave imposition on current. Further, the computed values of the turbulence indicator and dispersion functions are used for the identification of the level of turbulence and dispersion at each flow depth for the locations upstream and downstream of a hemisphere in the hemispherical bed.

Utilizing the Frailty Index to Predict Long-term Mortality in Patients Undergoing Major Lower Extremity Amputation

The 5-factor modified Frailty Index (mFI-5) is a risk-stratification tool utilized to predict complications and mortality following major lower extremity (LE) amputation. However, its prognostic value for long-term mortality is unknown. The study aim was to assess whether a high mFI-5 score relates to long-term mortality following major LE amputation for chronic wounds. Patients ≥60 years who underwent major LE amputation from 2017 to 2021 were retrospectively reviewed. Data regarding demographics, comorbidities, perioperative factors, amputation type, and postoperative complications was collected and mFI-5 was calculated. Survival analysis was performed with Kaplan-Meier curves and differences were assessed with Log-Rank test. A total of 172 patients were identified. Mean age was 70.7 ± 8.0 years. Median time to ambulation was 3.7 months (IQR 4.0). By final follow-up of 17.5 ± 15.9 months, ambulatory rate was 51.7% (n = 89), overall mortality 36.0% (n = 62), 1-year mortality 14.0% (n = 24), and 3-year mortality 27.9% (n = 48). Patients with an mFI-5 of ≥4 (26.7%, n = 46) compared with patients with mFI-5 <4 (73.3%, n = 126) had a higher rate of prolonged postoperative LOS (34.8% vs 19.8%, p = .042), overall mortality (52.2% vs 30.2%, p = .008), 1-year mortality (23.9% vs 10.3%, p = .023), and 3-year mortality (45.7% vs 21.4%, p = .002). Multivariate analysis demonstrated mFI-5 was an independent predictor of 3-year mortality (OR 2.35, p = .043). At a threshold ≥4, the mFI-5 demonstrated utility in predicting long-term mortality. The value of this prognostic indicator is in its preoperative application of assessing risk of mortality, which should be utilized in conjunction with other measures.