Search Results (3,341)

Background: Peripheral endovascular intervention (PEVI) is routinely performed using standard-dose radiation (SDR), which is associated with elevated levels of radiation. No study has evaluated the outcomes of minimal-dose radiation (MDR) in PEVI. Methods: We performed a prospective observational study of 184 patients (65 ± 12 years) at an academic medical center from January 2019 to March 2020 (mean follow-up of 3.9 ± 3.6 months) and compared the outcomes of MDR (n = 24, 13.0%) and SDR (n = 160, 87.0%) in PEVI. Primary endpoints included air kerma, dose area product (DAP), fluoroscopy time, and contrast use. Secondary endpoints included all-cause mortality, cardiac mortality, acute myocardial infarction, acute kidney injury, stroke, repeat revascularization, vessel dissection/perforation, major adverse limb event, access site complications, and composite of complications. Results: For MDR (68 ± 10 years, mean follow-up of 4.3 ± 5.2 months), the primary endpoints were significantly less than SDR (65 ± 12 years, mean follow-up of 3.8 ± 3.2 months; p < 0.001). Regarding the secondary endpoints, one vessel dissection occurred using MDR, while 36 total complications occurred with SDR (p = 0.037). Conclusions: PEVI using MDR was safe and efficacious. MDR showed a significant decrement in radiation parameters and fluoroscopy time. Therefore, MDR can serve as an effective alternative for PEVI in acute or critical limb ischemia. Full article

Background and Objectives: We wished to evaluate the effect of antiresorptive agents (ARAs) on peri-implant tissues and to examine the risk factors for peri-implant medication-related osteonecrosis of the jaw (MRONJ). Materials and Methods: The study cohort consisted of patients who underwent implant surgery or maintenance treatment between March 2012 and December 2024. The patients were divided into two groups: those in whom bisphosphonates (BPs) or denosumab (Dmab) was used to treat osteoporosis after implant treatment (the ARA group) and a control group. Peri-implant clinical parameters (implant probing depth (iPPD), implant bleeding on probing (iBoP), marginal bone loss (MBL), and mandibular cortical index (MCI)) measured at the baseline and at the final visit were statistically evaluated and compared in both groups. Risk factors were examined using a multivariate analysis of adjusted odds ratios (aORs). Results: A total of 192 implants in 61 patients (52 female, 9 male) were included in this study. The ARA group consisted of 89 implants (22 patients). A comparison of the clinical parameters showed that the ARA group had significantly higher variations in their maximum iPPD and iBoP values over time than those in the control group. Risk factors for peri-implantitis as objective variables were the use of ARAs (aOR: 3.91; 95% confidence interval [CI]: 1.29–11.9) and the change in the maximum iPPD over time (aOR: 1.86; 95% CI: 0.754–4.58). Conclusions: During long-term implant maintenance treatment, patients’ health and medication status change. Monitoring peri-implantitis, the presumed cause of peri-implant MRONJ, is essential, especially in patients who started ARA treatment after implant placement, and special attention should be paid to changes in implant pocket depth. Full article

Purpose: Integrated neuromuscular training (INT) is a multidimensional training method that integrates strength, balance, core stability, flexibility, and motor skill development. The aim of this study was to systematically evaluate the effects of INT on various physical performance indicators in athletes to provide evidence supporting the application of INT in training practices. Method: A systematic search was conducted in accordance with PRISMA guidelines across nine databases—including PubMed, Web of Science, EMBASE, Scopus, Cochrane Library, Ovid MEDLINE, WILEY, and Springer Nature Link—from inception to 26 March 2025 to identify randomized controlled trials (RCTs) examining the effects of INT on athletic performance. Result: A total of 19 randomized controlled trials were included, comprising 783 participants aged 11–25 years. The meta-analysis results indicated that INT significantly improved jump performance (SMD = 0.26, 95% CI [0.15, 0.37], p < 0.001, I² = 75%), sprint performance (SMD = −0.76, 95% CI [−0.93, −0.58], p < 0.001, I² = 76%), balance performance (SMD = 0.23, 95% CI [0.14, 0.31], p < 0.001, I² = 78%), and agility performance (SMD = −0.72, 95% CI [−1.23, −0.21], p < 0.05, I² = 74%). Sensitivity analyses revealed no substantial changes in jump, sprint, agility, or balance performance outcomes. Conclusions: INT was found to significantly improve sprint, jump, balance, and agility performance in athletes. Analysis of the included training protocols suggested that improvements in each performance indicator required emphasis on specific training components. Moreover, greater improvements in sprint and balance performance were observed in female athletes compared to their male counterparts. Subgroup analysis revealed significant differences in training effects across populations, with female athletes showing superior improvements in sprint and balance performance following INT interventions. Additionally, interventions lasting fewer than eight weeks, with training sessions shorter than 30 min and frequencies of more than three times per week, were associated with more pronounced effects. Full article

False cleavers (Galium spurium L.) is a broadleaf weed species that affects wheat productivity because of its strong competition for resources. It has developed resistance to acetolactate synthase (ALS) inhibitors, such as sulfonylureas and triazolopyrimidines, which are herbicides widely used in durum wheat. Integrated weed management programs can contribute to the control of this species and delay the evolution of herbicide resistance. Thus, a two-year field experiment was conducted to evaluate the effects of sowing time, variety, and herbicides on crop yield, density, and dry weight of a false cleavers population with resistance to ALS inhibitors. In both growing seasons, a split-split-plot design was used with three replicates. The sowing date was chosen as the main plot factor, durum wheat varieties as the subplot factor, and herbicides as the sub-subplot factor. The herbicide treatments were: (1) metsulfuron-methyl/bensulfuron-methyl (4/50 g a.i. ha⁻¹), (2) aminopyralid/florasulam (9.9/4.95 g a.i. ha⁻¹), (3) pyroxsulam and florasulam/2,4-D (18.75 + 4.725/225 g a.i. ha⁻¹), (4) 2,4-D/bromoxynil (633.15/601.2 g a.i. ha⁻¹), non-treated control, and hand-weeded control for the first season, while in the second season one more herbicide treatment (halauxifen-methyl/florasulam, 5.6/5.15 g a.i. ha⁻¹) was added. Herbicide application was performed on 10 March 2021 and 28 March 2022, when the crop was at the end of tillering and the beginning of stem elongation. The results showed that the density of false cleavers was not affected by the variety or sowing time. However, its dry weight was 17.3–23.4% higher in early sowing (16 November in 2020 and 8 November 2021) than in late sowing (24 December 2020 and 2 December 2021). Among the herbicides tested, 2,4-D/bromoxynil and halauxifen-methyl/florasulam effectively controlled false cleavers, showing greater efficacy in late sowing (>88%), which ultimately led to a higher yield. In conclusion, our two-year findings demonstrate that delayed sowing as part of an integrated weed management strategy can contribute to controlling resistant populations of false cleavers to ALS-inhibiting herbicides without affecting the quantity and quality of durum wheat yield in areas with a Mediterranean climate. Full article

Background: Malnutrition is associated with adverse clinical and economic outcomes. We recently reported that the hospital mortality rate in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-infected inpatients was higher in malnourished patients than in those without malnutrition. The present study aimed to determine if SARS-CoV-2-infected inpatients who received oral nutrition supplementation (ONS) had improved survival. We performed a retrospective cohort study including 37,215 adults (aged 18 and older) admitted with COVID-19 to five Johns Hopkins–affiliated hospitals between 1 March 2020, and 31 March 2023. Malnutrition risk was initially screened using the Malnutrition Universal Screening Tool (MUST), with cases subsequently confirmed by registered dietitians via a standardized, validated assessment protocol. Logistic regression analysis predicting hospital mortality examined the association of ONS with hospital survival in SARS-CoV-2-infected inpatients, incorporating covariates and weights for ONS receipt. Results: Malnutrition was an independent predictor of higher hospital mortality from COVID-19 illness. The prevalence of malnutrition among adult inpatients with SARS-CoV-2 infection in our cohort was 15.22%. Inpatient adults with moderate or severe malnutrition in the context of acute illness or injury who were given ONS had lower odds of inpatient mortality (moderate OR = 0.72, 95% CI 0.62–0.85; severe OR = 0.76, 95% CI 0.67–0.87; both p < 0.001). Overweight and obese patients who received ONS had higher odds of inpatient mortality (overweight OR = 1.15, 95% CI 1.08–1.22, p < 0.0001; obese OR = 1.08, 95% CI 1.01–1.14, p = 0.02, respectively). For inpatients who were underweight, receiving ONS was protective against inpatient mortality (OR = 0.78, 95% CI 0.68–0.88, p = 0.0001). Thus, among adult inpatients with SARS-CoV-2 infection, malnourished and underweight individuals appeared to experience improved survival when provided with oral nutritional supplements (ONS), whereas overweight or obese patients remain at an elevated risk of mortality. The timing of ONS receipt in hospitalized patients with SARS-CoV-2 influenced mortality. Patients who had earlier time to ONS had 13% lower odds of inpatient mortality (OR = 0.87, 95% CI 0.79–0.97, p = 0.0105). Conclusions: In a cohort of SARS-CoV-2 adult inpatients, those with confirmed malnutrition receiving oral nutrition supplements had a higher likelihood of hospital survival. This is the first study demonstrating an association of oral nutrition intervention with reduced hospital mortality in malnourished SARS-CoV-2-infected adults. Full article

Previous studies reported the links between the COVID-19 incidence and weather factors, but few investigated their impact and timing on mortality, at a continental scale. We systematically investigated the temporal relationship of COVID-19 mortality in the European countries in the 1st year of pandemic (March–December 2020) with (i) solar insolation (W/${\mathrm{m}}^2$) at the ground level and (ii) objective sky cloudiness (as decimal cloud fraction), both derived from satellite measurements. We checked the correlations of these factors within a sliding window of two months for the whole period. Linear-mixed effect modeling revealed that overall, for the European countries (adjusted for latitude), COVID-19 mortality was substantially negatively correlated with solar insolation in the previous month (std. beta −0.69). Separately, mortality was significantly correlated with the cloudiness in both the previous month (std. beta +0.14) and the respective month (std. beta +0.32). This time gap of ∼1 month between the COVID-19 mortality and correlated weather factors was previously unreported. The long-term monitoring of these factors might be important for epidemiological policy decisions especially in the initial period of potential future pandemics when effective medical treatment might not yet be available. Full article

Accurate estimation of erupted lava volumes is essential for understanding volcanic processes, interpreting eruptive cycles, and assessing volcanic hazards. Traditional methods based on Mid-Infrared (MIR) satellite imagery require clear-sky conditions during eruptions and are prone to sensor saturation, limiting data availability. Here, we present an alternative approach based on the post-eruptive Thermal InfraRed (TIR) signal, using the recently proposed VRP_TIR method to quantify radiative energy loss during lava flow cooling. We identify thermally anomalous pixels in VIIRS I5 scenes (11.45 µm, 375 m resolution) using the TIRVolcH algorithm, this allowing the detection of subtle thermal anomalies throughout the cooling phase, and retrieve lava flow area by fitting theoretical cooling curves to observed VRP_TIR time series. Collating a dataset of 191 mafic eruptions that occurred between 2010 and 2025 at (i) Etna and Stromboli (Italy); (ii) Piton de la Fournaise (France); (iii) Bárðarbunga, Fagradalsfjall, and Sundhnúkagígar (Iceland); (iv) Kīlauea and Mauna Loa (United States); (v) Wolf, Fernandina, and Sierra Negra (Ecuador); (vi) Nyamuragira and Nyiragongo (DRC); (vii) Fogo (Cape Verde); and (viii) La Palma (Spain), we derive a new power-law equation describing mafic lava flow thickening as a function of time across five orders of magnitude (from 0.02 Mm³ to 5.5 km³). Finally, from knowledge of areas and episode durations, we estimate erupted volumes. The method is validated against 68 eruptions with known volumes, yielding high agreement (R² = 0.947; ρ = 0.96; MAPE = 28.60%), a negligible bias (MPE = −0.85%), and uncertainties within ±50%. Application to the February-March 2025 Etna eruption further corroborates the robustness of our workflow, from which we estimate a bulk erupted volume of 4.23 ± 2.12 × 10⁶ m³, in close agreement with preliminary estimates from independent data. Beyond volume estimation, we show that VRP_TIR cooling curves follow a consistent decay pattern that aligns with established theoretical thermal models, indicating a stable conductive regime during the cooling stage. This scale-invariant pattern suggests that crustal insulation and heat transfer across a solidifying boundary govern the thermal evolution of cooling basaltic flows. Full article

(1) The formation pathways and underlying mechanisms of health behaviors among young and middle-aged adults with chronic diseases under a temporal perspective remain underexplored. Based on Temporal Self-Regulation Theory and its subsequent extensions, this study aimed to investigate the time perspective among Chinese young and middle-aged adults with chronic diseases and analyzed the relationships between time perspective, illness perception, health behavior motivation, and health behaviors, thereby providing valuable empirical evidence for health behavior modification in this population. (2) This study was a cross-sectional survey conducted from March to April 2025. Structural Equation Modeling was employed to investigate the relationships among the variables. (3) This study enrolled a total of 391 participants with high levels of future and past-positive perspectives. Time perspective, directly related to health behaviors, namely past-negative, present-impulsive, and present-fatalistic perspectives, exerted negative associations with health behaviors, respectively, whereas future and past-positive perspectives showed positive associations with health behavior. Analysis of the mediating effect found that illness perception served as a mediator between the time perspective of past-negative, present-impulsive, and present-fatalistic perspectives, and health behaviors. And health behavior motivation acted as a mediator in the relationship between past-negative, present-impulsive, and past-positive perspectives, and health behaviors. Furthermore, illness perception and health behavior motivation formed a chain mediation pathway between time perspective and health behaviors. (4) Time perspective was associated with health behaviors, not only exerting directed effects but also manifesting a double-edged sword effect through illness perception and health behavior motivation. Subsequent interventions targeting health behaviors among young and middle-aged populations in China should incorporate considerations of the temporal perspective’s uniqueness and its intricate mechanisms of action on health behaviors. Full article

Objective: Gut dysbiosis has been implicated in the pathology of inflammatory bowel disease (IBD). There is some evidence to suggest that the use of antibiotic treatment can incite an early clinical response or remission when used in conjunction with standard-of-care (SOC) therapy to treat IBD-related flares. Furthermore, antibiotics have been historically investigated for use as a bridge when initiating biologic therapy while waiting for peak biologic treatment effect to occur. This study investigated and compared the time to clinical response when treated with combination antibiotics, metronidazole monotherapy, or SOC therapy in pediatric patients with an active IBD flare. Methods: This study was a retrospective, Institution Review Board-approved, single-centered cohort study which included patients who were less than 18 years of age with a confirmed diagnosis of IBD who received conventional treatment alone or with either combination antibiotic therapy or metronidazole monotherapy to treat an active IBD flare between March 2013 and January 2024. Patients were excluded if they received antibiotic therapy to treat an active infection, had positive stool cultures or enteric pathogen polymerase chain reaction panel, or had colonic disease limited to the rectum. Results: Fifty-nine patients were included and divided into metronidazole monotherapy (n = 18), SOC therapy (n = 20), and combination antibiotics (n = 21). The primary outcome of days to clinical response was not significantly different across all groups; however, patients who received combination antibiotics achieved the fastest time to clinical response (median (IRQ))—4 days (1, 65), compared to 7.5 days (1, 119) for the SOC group and 9 days (2, 217) for the metronidazole group. Secondary outcomes of achievement of clinical response, remission, or failure were determined to be non-significant between all groups. Conclusions: There is no significant difference in time to clinical response, attaining clinical response or remission, or treatment failure rate for patients treated with combination antibiotics, metronidazole monotherapy, or SOC. However, results of this study suggest that the use of combination antibiotics plus SOC may lead to a faster time to clinical response and remission compared to SOC therapy alone. Further studies are warranted to elucidate the role of antimicrobial therapy in management of pediatric IBD. Full article

Autonomous earthwork machinery is gaining traction as a means to boost productivity and safety on space-constrained urban sites, yet the fast-growing literature has not been fully integrated. To clarify current knowledge, we systematically searched Scopus and screened 597 records, retaining 157 peer-reviewed papers (2015–March 2025) that address autonomy, integrated control, or risk mitigation for excavators, bulldozers, and loaders. Descriptive statistics, VOSviewer mapping, and qualitative synthesis show the output rising rapidly and peaking at 30 papers in 2024, led by China, Korea, and the USA. Four tightly linked themes dominate: perception-driven machine autonomy, IoT-enabled integrated control systems, multi-sensor safety strategies, and the first demonstrations of fleet-level collaboration (e.g., coordinated excavator clusters and unmanned aerial vehicle and unmanned ground vehicle (UAV–UGV) site preparation). Advances include centimeter-scale path tracking, real-time vision-light detection and ranging (LiDAR) fusion and geofenced safety envelopes, but formal validation protocols and robust inter-machine communication remain open challenges. The review distils five research priorities, including adaptive perception and artificial intelligence (AI), digital-twin integration with building information modeling (BIM), cooperative multi-robot planning, rigorous safety assurance, and human–automation partnership that must be addressed to transform isolated prototypes into connected, self-optimizing fleets capable of delivering safer, faster, and more sustainable urban construction. Full article

Background: Sarcopenia significantly affects the health and quality of life in older adults. Exercise combined with nutritional interventions is widely recognized as an effective strategy for improving sarcopenia outcomes. However, current studies rarely focus on differential effects across subpopulations with distinct demographic and health characteristics. This study aimed to explore the effects of combined exercise and nutrition interventions on sarcopenia-related outcomes, considering the variations in population characteristics. Methods: A systematic search was conducted across PubMed, Embase, the Web of Science, and Cochrane Library, covering the literature published between January 2010 and March 2025. Only randomized controlled trials (RCTs) evaluating combined exercise and nutritional interventions for sarcopenia were included. The primary outcomes were handgrip strength (HS), the skeletal muscle mass index (SMI), gait speed (GS), and the five-times sit-to-stand test (5STS). The mean differences (MD) with 95% confidence intervals (CIs) were calculated. Random-effects models were used for the meta-analysis and subgroup comparisons. Results: Fifteen RCTs involving 1258 participants in the intervention group and 1233 in the control group were included. Exercise combined with nutritional interventions significantly improved sarcopenia-related outcomes. HS improved with a pooled MD of 1.77 kg (95% CI: 0.51 to 3.03, p = 0.006); SMI increased by 0.22 kg/m² (95% CI: 0.09 to 0.35, p = 0.0007); GS improved by 0.09 m/s (95% CI: 0.04 to 0.14, p = 0.0002); and 5STS performance improved with a time reduction of −1.38 s (95% CI: −2.47 to −0.28, p = 0.01). Subgroup analyses indicated that the intervention effects varied according to age, BMI, and living environment. Conclusions: Exercise combined with nutrition is effective in improving key outcomes associated with sarcopenia in older adults. The magnitude of these effects differed across population subgroups, underscoring the importance of tailoring interventions to specific demographic and health profiles. Full article

Since dust aerosols are one of the major pollutants in Georgia, it is important to study the aeolian desert dust (ADD) invasion to Georgia from the neighboring deserts to find out its contribution to the dust pollution problem. Therefore, the main objective of this study is to investigate the history, frequency and routes of ADD invasions to the Caucasus (Georgia) using modern models and technologies for 1.5 years. Using WRF-Chem/dust, CAMS and HYSPLIT mathematical models; MODIS satellite images; and PM10 field data, 38 cases of not strong ADD invasions to Georgia were found, and two typical cases are presented and analyzed in this paper. The results of the modeling studies from 15 March 2023 to 15 September 2024 showed that the WRF-Chem/dust (GOCART) v.4.5.1 model simulated the ADD transport to Georgia from the surrounding deserts quite well. Daily monitoring of ADD migration routes showed that in the easternmost region of Georgia (the most vinicultural and agricultural region), the number of ADD invasions was approximately three times higher than in other regions of Georgia, which is a novelty of this study due to the lack of ground dust measurement stations in the easternmost region of Georgia. Full article

Background/Objectives: Diabetic foot (DF) is among the leading causes of diabetes-related disability. It is important to maintain regular follow-up and patient education in the prevention and treatment of DF ulcers. In extraordinary situations such as a pandemic, there are disruptions in regular clinical follow-up and patient education, and the effects of this disruption need to be investigated. The aim of this study was to investigate the impact of the pandemic on the clinical condition of patients hospitalised for DF. Methods: Patients were divided into two groups according to the date of admission to the clinic: the pre-pandemic (1 January 2019–11 March 2020) and the pandemic period (12 March 2020–1 June 2021). Comparisons were made between the two groups in terms of DF data and clinical parameters. Data were analysed with SPSS using chi-square, Student’s t-test and Mann–Whitney U analysis. Results: As a result of the screening, data from 125 DF patients (45 pre-pandemic and 80 pandemic) were collected. The DF stage, according to the Wagner classification, was significantly more advanced in patients during the pandemic period (p = 0.015). However, the time between the onset of symptoms and hospitalisation was longer for patients during the pandemic period (p = 0.035). When analysing treatment outcomes, the rate of wound healing was found to be lower (62.2% vs. 30%), and the rate of transtibial amputation was higher (11.2% vs. 20%) during the pandemic period (p = 0.002). Conclusions: This study found that the number of patients hospitalised for DF increased during the pandemic period, as did the severity of the wound, length of admission and radical treatment interventions. Full article

Natural gas storage is an effective solution to address the energy supply–demand imbalance, and underground gas storage (UGS) is a primary method for storing natural gas. The overarching goal of this study is to monitor and analyze surface deformation at the Hutubi underground gas storage facility in Xinjiang, China, which is the largest gas storage facility in the country. This research aims to ensure the stable and efficient operation of the facility through long-term monitoring, using remote sensing data and advanced modeling techniques. The study employs the SBAS-InSAR method, leveraging Synthetic Aperture Radar (SAR) data from the TerraSAR and Sentinel-1 sensors to observe displacement time series from 2013 to 2024. The data is processed through wavelet transformation for denoising, followed by the application of a Gray Wolf Optimization (GWO) algorithm combined with Variational Mode Decomposition (VMD) to decompose both surface deformation and gas pressure data. The key focus is the development of a high-precision predictive model using a Gated Recurrent Unit (GRU) network, referred to as GWO-VMD-GRU, to accurately predict surface deformation. The results show periodic surface uplift and subsidence at the facility, with a notable net uplift. During the period from August 2013 to March 2015, the maximum uplift rate was 6 mm/year, while from January 2015 to December 2024, it increased to 12 mm/year. The surface deformation correlates with gas injection and extraction periods, indicating periodic variations. The accuracy of the InSAR-derived displacement data is validated through high-precision GNSS data. The GWO-VMD-GRU model demonstrates strong predictive performance with a coefficient of determination (R²) greater than 0.98 for the gas well test points. This study provides a valuable reference for the future safe operation and management of underground gas storage facilities, demonstrating significant contributions to both scientific understanding and practical applications in underground gas storage management. Full article

Environmental comfort and air pollution are among the most important indicators for assessing the population’s quality of life in urban agglomerations. This study aims to explore long-term memory in air pollution time series by analyzing the dynamics of the Hurst exponent and evaluating the predictability index. This type of statistical pre-forecast analysis is essential for developing accurate forecasting models for such time series. The effectiveness of air quality monitoring systems largely depends on the precision of these forecasts. The Ekibastuz coal-mining center, which houses one of the largest coal-fired power stations in Kazakhstan and the world, with a capacity of about 4000 MW, was chosen as an example for the study. Data for the period from 1 March 2023 to 31 December 2024 were collected and analyzed at the Ekibastuz coal-fired power station. During the specified period, 14 indicators (67,527 observations) were collected at 10 min intervals, including mass concentrations of CO, NO, NO₂, SO₂, PM_2.5, and PM₁₀, as well as current mass consumption of CO, NO, NO₂, SO₂, dust, and NO_x. The detrended fluctuation analysis of a time series of air pollution indicators was used to calculate the Hurst exponent and identify long-term memory. Changes in the Hurst exponent in regards to dynamics were also investigated, and a predictability index was calculated to monitor emissions of pollutants in the air. Long-term memory is recorded in the structure of all the time series of air pollution indicators. Dynamic analysis of the Hurst exponent confirmed persistent time series characteristics, with an average Hurst exponent of about 0.7. Identifying the time series plots for which the Hurst exponent is falling (analysis of the indicator of dynamics), along with the predictability index, is a sign of an increase in the influence of random factors on the time series. This is a sign of changes in the dynamics of the pollutant release concentrations and may indicate possible excess emissions that need to be controlled. Calculating the dynamic changes in the Hurst exponent for the emission time series made it possible to identify two distinct clusters corresponding to periods of persistence and randomness in the operation of the coal-fired power station. The study shows that evaluating the predictability index helps fine-tune the parameters of time series forecasting models, which is crucial for developing reliable air pollution monitoring systems. The results obtained in this study allow us to conclude that the method of trended fluctuation analysis can be the basis for creating an indicator of the level of air pollution, which allows us to quickly respond to possible deviations from the established standards. Environmental services can use the results to build reliable monitoring systems for air pollution from coal combustion emissions, especially near populated areas. Full article