Impact Of Individual Components Research Articles

Analysis of bending and torsional modal of PMSM rotor systems for EV

Abstract The rotor system is crucial in the all-in-one integrated power system of EV, making the study of its dynamic mechanical performance at high speeds imperative. This paper focuses on analyzing the modal characteristics of EV rotor systems and the impact of individual components on bending and torsional vibrations. Using finite element analysis (FEA), a modal analysis of a 100 kW high-speed electric motor rotor is conducted, followed by experimental tests using an exciting method. Comparing simulation with experimental results reveals how end caps and bearings reduce the rotor’s bending natural frequency (BNF), while the core increases it. Additionally, the addition of rotor components leads to varied reductions in the rotor’s torsional natural frequency (TNF). Furthermore, the error between FEA and experimental values for combined rotor modes remains within 3.53%, affirming the accuracy and reliability of the analysis in predicting rotor modal characteristics.

Uncertainty analysis of life cycle assessment of asphalt surfacings

The Life Cycle Assessment (LCA) of asphalt pavements are associated with significant uncertainty resulting from variability in the quantity and impact of individual components, the quality of data for each component, and variability of asphalt durability. This study presents a framework to quantify and incorporate the uncertainty of LCA and asphalt durability data into LCA of asphalt surfacings. The suggested framework includes: estimating the uncertainty of asphalt production processes by the pedigree matrix method, conducting a deterministic LCA, applying Monte Carlo Simulation (MCS) to estimate the probability density functions (PDFs) of the considered impacts using the uncertainty data, deterministic solution, and asphalt durability. This framework was applied to six asphalt mixtures; the results show that there is significant uncertainty in the processes that contribute to the environmental impacts. They also showed that considering asphalt durability and its uncertainty is critical and can significantly change the results and interpretation of LCA.

Assessment of Antimicrobial Potential of Plagiochasma rupestre Coupled with Healing Clay Bentonite and AGNPS.

The impact of individual component, i.e., plant extract (Plagiochasma rupestre), biosynthesized silver nanoparticles (AgNPs), and healing clay (bentonite) as antimicrobial agent is reported but their combined effect as a ternary system is a new approach. This study is aimed at investigating the impact of the proposed ternary system against selected human pathogens. AgNPs were synthesized by using Plagiochasma rupestre extract (aqueous) as reducing agent and neutral polymer (PVP) as stabilizer. The morphology, size, and structural properties of synthesized AgNPs were determined with XRD and SEM analysis which showed spherical monomodal particles with an average particle size of 25.5 nm. The antibacterial and antifungal activities of the individual and nanoternary system were investigated. The phytochemical screening of plant extract showed the presence of alkaloids, flavonoids, phenol, and glycosides in methanol extract as compare to aqueous and acetone extract. The antimicrobial activities of crude extracts of Plagiochasma rupestre with AgNPs and bentonite clay were studied as an appropriate candidate for treatment of microbial infections, especially bacterial and fungal diseases. The antioxidant activity of Plagiochasma rupestre aqueous extract and nanoparticles was assessed by (DPPH) free radical, and absorbance was checked at 517 nm. Crude extract has inhibitory effect towards bacteria and fungi, and bentonite clay also showed some degree of antimicrobial resistance. Strategy can be efficiently applied for future engineering and medical. The nanoternary systems showed 3 and 3.5 times higher antibacterial and antifungal activity, respectively, in comparison to Plagiochasma rupestre and bentonite clay, individually.

Design and characterization of whey protein nanocarriers for thyme essential oil encapsulation obtained by freeze-drying

Innovative coating powders, based on whey protein concentrate (10–15 wt%) as native (WPC) or denatured protein (d-WPC), solely or in combination with alginate (0.75 wt%, AL), containing thyme essential oil, were produced using the freeze-drying technique. The impact of individual components (protein, alginate and oil) as well as the effect of heat-induced protein denaturation, was resolved regarding physicochemical, thermal and morphological properties of powders. High product yield (∼100%), particle size (223–257 nm), low moisture content (0.10–0.13%) and zeta potential (−19 to −25.6 mV) were determined for all samples. Strong antimicrobial activity of thyme oil nanocarriers against foodborne pathogens was demonstrated. Thermogravimetric analysis (TGA) indicated enhanced thermal stability of encapsulated oil. The most specific bands of structural compounds were identified in Raman spectra of the tested formulations, but principal component analysis (PCA) on recorded spectra was necessary to show the differences between carriers of different wall materials.

Credit-linked insurance bundles in Zambia: evidence from the aftermath of a shock

PurposeThis research seeks to assess the impact of a credit-linked insurance bundle in Zambia, in terms of the inputs used and the amount of maize subsequently produced and sold.Design/methodology/approachTo estimate the impact of a credit-linked insurance bundle, this research relies on a natural field experiment. A cross-sectional survey, conducted among 409 households that enrolled in a credit-linked insurance program prior to a drought and adverse market conditions, revealed that 252 households dropped out of the program. Of these, 113 households left for an exogenous, involuntary reason (i.e. group loan was not repaid on time).FindingsA comparison of households that used the program and those that dropped out reveals that smallholders who lost the credit-linked insurance bundle purchased less fertilizer (−36%), and this input restriction resulted in diminished harvests (−27%) and less quantity sold (−31%).Research limitations/implicationsRisk-exposed smallholders tend to be severely credit constrained, so they cannot invest in sufficient inputs to increase their yields. A credit-linked insurance scheme provides such risk-exposed smallholders, who lack or have only limited collateral, with commercial agricultural credit services and greater access to input. The current analysis cannot specifically attribute the impact of individual components of the bundle (i.e. credit, insurance and input supply), but the overall impact is substantial. The implication of this research is that policy initiatives which support a credit-linked insurance system should not only encourage upscaling but also resilience of the scheme.Practical implicationsAligning government and public support programs with private initiatives suggests opportunities for greater benefits.Social implicationsAfrican farmers are mainly smallholders, so they face inherent production risks. They also tend to be severely credit constrained, with few means to mitigate these risks, so they suffer from a limited capacity to invest in improved farm technology systems that might increase their productivity. Insured input bundles could help farmers to cope better with adverse risks and facilitate increase productivity.Originality/valueThis research design exploits the peculiarity of the data, including group liability and a strict time window for loan repayments to remain eligible in a forthcoming growing season. This impact assessment approach is rigorous in controlling for self-selection bias and thus offers opportunities to establish how households in each sub-sample (eligible or not) are (un)able to ride out a lean season, following a drought and adverse market conditions.

High surface area g-C3N4 and g-C3N4-TiO2 photocatalytic activity under UV and Visible light: Impact of individual component

Using sunlight to activate a catalyst and clean up aqueous effluents is an important issue. Graphitic carbon nitride (g-C3 N4) is a visible light photocatalyst, whose potential is restricted by its small surface area. This study counters this deficiency by developing a single-step calcination approach that results in g-C3 N4 with high surface area (200 m2/g). Then, the impact of surface area, irradiance and catalyst concentration of g-C3N4 on the HCOOH photocatalytic degradation is determined. Results showed that the performance increases linearly with surface area and irradiance, whereas it reaches a plateau as the concentration is increased. A relative photonic efficiency of around 5.5%, independent of the light source was found. Finally, g-C3 N4 -TiO2 mixture was prepared using mechanical grinding and optimized to obtain an active photocatalyst in both visible and ultraviolet regions.

METABOLIC SYNDROME. ETIOLOGY AND PATHOGENESIS

The aim of the study was to assess the impact of individual components of the metabolic syndrome on the human body, taking into account their etiology and pathogenesis. This article is analytical analysis of scientific and medical literature basing on aspects of the etiology and pathogenesis of the metabolic syndrome. The key role in the pathogenesis of the metabolic syndrome is played by insulin resistance, which may be a result of lifestyle conditions (low physical activity, overweight or obesity) or genetic background. A certain role in the pathogenesis of the metabolic syndrome is also attributed to disorders of the hypothalamic-pituitary-adrenal axis in the form of increased cortisol control, which may initiate the development of abdominal obesity, insulin resistance, hypertension and dyslipidemia. Aforementioned factors (environmental, hormonal and genetic) lead to excessive fat tissue gathering. The excess of abdominal fat tissue – abdominal obesity – leads to insulin resistance, the concentration of which causes body mass gain. Such mechanism is dangerous for our health and may lead to the occurrence of type 2 diabetes and premature development of atherosclerosis with all its consequences such as atherosclerotic cardiovascular diseases including coronary artery disease.

Reliability theory for microbial water quality and sustainability assessment

Microbial surface water contamination can disrupt critical ecosystem services such as recreation and drinking water supply. Prediction of water contamination and assessment of sustainability of water resources in the context of water quality are needed but are difficult to achieve – with challenges arising from the complexity of environmental systems, and stochastic variability of processes that drive contaminant fate and transport. In this paper we use reliability theory as a framework to address these issues. We define failure as exceedance of regulatory water contamination limits, and system components as reaches in the surface water network. We then methodically study the reliability of each component in the context of water quality, as well as the impact of individual components on overall water quality and sustainability. We obtain spatially distributed probability- and physics-based sustainability measures of reliability, vulnerability, resilience and the sustainability index. Finally, we use GIS as a platform to present these measures as geospatial products in an effort to foster public acceptance of probability-based methods in contaminant hydrology.

MPN-188: Myeloablative Fludarabine and Busulfan Regimen in Myelofibrosis (MF): Long-Term Outcomes and Analysis of Prognostic Factors

Context: Standard scoring systems prognosticate outcomes of MF at diagnosis and at allogeneic transplantation. Thorough evaluation of pre-transplant characteristics can point to appropriate mitigation strategies to improve outcomes. Objective: To evaluate the impact of individual components of standard scoring systems, along with factors previously reported in the literature, on transplant outcomes in patients with MF. Design: 65 consecutive patients transplanted for MF with a myeloablative regimen (details below) during 2007-2019 at the MD Anderson Cancer Center, were identified; associations between factors of interest and outcomes were evaluated. Median follow-up for survivors was 35.6 months. Patients: At transplant, median age was 61 years (range, 27-73); 42% were transfusion-dependent; 31% had secondary MF; and 53% of the patients were intermediate-2 while 42% were high-risk by DIPSS-plus. Interventions: Conditioning was Fludarabine 40 mg/m2 daily for 4 days, each dose followed by one daily dose of PK-guided IV Busulfan to an average daily AUC of 4,000 μM-min, or total course AUC of 16,000 μM-min. GvHD prophylaxis was tacrolimus and mini-methotrexate, patients with an unrelated donor received rabbit-antithymocyte globulin at a dose of 4-7.5 mg/kg. Outcomes: Overall survival (OS), non-relapse mortality (NRM), and cumulative incidence of relapse. Results: One-year and 3-year rates for OS were 78% and 65%, for relapse were 21% and 27%, and for NRM were 16% and 20%, respectively. Multivariable analysis (HR [95%CI]) showed a significant increase in risk of death for time from diagnosis to transplantation > 12 months (vs. ≤12 months; 3.01 [1.05-8.60], p=0.040), HCT-CT ≥ 3 (vs. 12 months (vs. ≤12 months; 7.20 [0.96-53.94], p=0.055). Increased risk of relapse was associated with age > 65 years at transplant (vs. ≤65 years; 2.77 [1.05-7.31], p=0.039), with a trend towards higher risk of relapse for patients with time to transplantation > 12 months (vs. ≤12 months; 4.50 [0.91-22.18], p=0.06). Conclusions: Time from diagnosis to transplant > 12 months was associated with worse OS with a trend towards worse NRM and relapse. Among DIPSS-components, only age and peripheral blood blasts ≥ 1 were associated with worse outcomes in this study. Analyses supported in part by the Cancer Center Support Grant (NCI Grant P30 CA016672)

Myeloablative fludarabine and busulfan regimen in myelofibrosis: Long term outcomes and analysis of prognostic factors.

e19520 Background: Scoring systems, such as DIPSS-plus, prognosticate outcomes of myelofibrosis (MF) at diagnosis and at transplant. In this study, we evaluated the impact of individual components of these scoring systems, along with other factors previously reported to significantly prognosticate transplant outcomes in patients with MF. Methods: We identified 65 consecutive patients conditioned uniformly with Fludarabine(40 mg/m2X4days)/Busulfan(AUC-4000X4days) and ATG(MUD), tacroliumus and methotrexate for GVHD prophylaxis for allo-SCT during 2007-2019 at MD Anderson Cancer Center, USA. Associations between factors of interest and overall survival(OS), cumulative-incidence-of-relapse(relapse) and non-relapse mortality(NRM) were evaluated. Results: At transpant, median age was 61(range = 27-73) years; 42% were transfusion-dependent, 31% had secondary MF and 53% patients were intermediate2 and 42% were high-risk by DIPSS-plus. Forty percent of the 35 patients who had 28-gene panel tested had atleast one high-molecular-risk mutation, per MIPSS. Median follow-up for survivors was 35.6 months(range = 0.5-123). One-year and 5-year rates for OS were 78% and 51%, for relapse were 21% and 30%, and for NRM were 16% and 28%, respectively. Our multivariate analysis shows the following significant prognostic factors: HCT-CI > 3[hazard ratio(95% CI):5.63(1.48-21.27)p = 0.011], peripheral-blood blasts≥5%[5.98(1.33-26.89)p = 0.020] and prior splenectomy[6.41(1.83-22.47)p = 0.004] were associated with worse OS. Matched-unrelated donor[4.07 (1.38-12.08)p = 0.011) and mismatched-unrelated donor[7.36 (1.36-39.83)p = 0.021] versus matched-related donor as well as peripheral blasts≥5%[4.10(1.00-16.83)p = 0.05] were associated with worse NRM. Diagnosis to transplant duration > 12months[5.81(1.33-25.420)p = 0.020] was associated with higher relapse. Presence of 2 or more poor-risk mutations [6.39(1.35-30.21)p = 0.019] predicted higher relapse on univariate analysis and was not included in multivariate analysis(as data was available in 35 patients only). Conclusions: Of the IPSS-components used at diagnosis, only peripheral-blood blasts(at threshold ≥5%) was associated with worse outcome(OS and NRM). Unrelated-donor source was associated with higher NRM. Diagnosis to transplant duration > 12months predicted higher relapse. The effect of mutations needs to be validated in a bigger study.

Carbon Input and Maize Productivity as Influenced by Tillage, Crop Rotation, Residue Management and Biochar in a Semiarid Region in South Africa

Conservation agriculture (CA) as a system is still evolving on many of the smallholder farms in sub-Saharan Africa (SSA) and questions on the impact of individual components and pathways toward adoption still require answers. A short-term study was conducted to investigate the effect of tillage, crop rotation, and crop residue management, including maize residue biochar on above ground biomass, cumulative carbon (C) input, soil organic carbon (SOC), and maize grain yield. A split–split plot design was used to evaluate two tillage operations (conventional tillage (CT) and no-till (NT)), three crop rotations (maize–fallow–maize (MFM), maize–oat–maize (MOM), and maize–vetch–maize (MVM)), and three-crop residue management (retention (R+), removal (R−), and biochar (B)). The cumulative above ground biomass produced in the MOM rotation was significantly higher by 78.9% and 88.7% relative to MVM and MFM rotations, respectively. The cumulative C input under residue management treatments ranged from 10.65 to 12.16 Mg ha−1. The highest SOC was observed under R+ (1.10%) followed by B (1.0%) and the lowest was in R− (0.96%). Crop residue management significantly affected grain yields in 2015/2016 (p < 0.05) and 2016/2017 (p < 0.01) summer seasons. Biochar did not result in an obvious improvement in both C input and crop yield. Smallholder farmers can potentially switch from CT to NT without any significant yield penalty, as well as adopt MOM and R+ practices for increased biomass and C input.

High-Performance Concretes Intended for Deep Foundations of Constructions

The term high-performance concrete (HPC) can be used to classify any concrete mixture that possesses some added value. One such category of concrete is concrete mixtures used in pile foundation, which must only allow a low degree of water separation (bleeding). The basic components of production of these concretes with high utility properties include the usability of active and passive admixtures and their mutual combinations. As part of this research, analysis of aspects affecting water separation from fresh concrete mixture, including dosing, and the type of individual raw materials, was performed. This article aims to utilise these results to analyse the impact of individual components and to provide a comprehensive theory for how to optimise the design of low-bleeding HPC based on the appropriate selection and mixing ratio of cement and admixture. A set of different raw materials and the effect of their mutual mixing ratios on bleeding and other mechanical and physical parameters of produced mixtures were verified. The results of this experiment demonstrate the clear relationship between the amount of binders up to size 0.25 mm and amount of water that separates under pressure. Very important aspect is morphology of grains used binders. These knowledge of realized experiment could be easily applied into the practise, same as designed methodology of usage combination of active and passive admixtures to create a maximum cement matrix compaction.

Artificial skin composites

<p>Skin injuries are a health problem and can lead to serious, significant deterioration in the quality of life and, consequently, even illness and disability. Therefore, after wounding, immediate regeneration of the tissue is necessary to avoid further complications and pathogenesis. Consequently, many wound healing strategies have been developed, leading to the progress in constructing of multifunctional tissue substitutes for the skin, biomembranes, scaffolds and intelligent dressings. The field of science focusing on the creation of the above-mentioned products is tissue engineering (TE). Its main goal is to find a system that is able to replace or be a model that perfectly mimics the form and function of the skin. Research carried out on such constructs is mainly based on the analysis of mechanical properties (porosity, elasticity), as well as the assessment of the impact of individual components on processes related to the formation of new tissue as cell proliferation and differentiation, proliferation, angiogenesis - through <em>in vivo</em> studies (using animal models: mice, New Zealand rabbits) and <em>in vitro</em> (most often using mouse fibroblasts - L929). Skin constructions may have potential applications as wound dressings or skin substitutes in cases of severe skin damage.</p>

Performance Improvement of a Multi-State Coherent System using Component Importance Measure

SYNOPTIC ABSTRACTIn system engineering, numerous efforts have been made for achieving improvement in system performance under a binary set up, where each component, as well as the entire system, has any one of two states; namely, perfect functioning and complete failure. However, there are systems which perform their tasks at various performance levels rather than functioning at only the above two performance levels. These systems are multi-state systems. In these systems, there can be some partially working states or performance levels before the system comes to the state of complete failure. Hence, the need has been felt to develop the procedures for improving the performance of multi-state systems consisting of multi-state components. This article resolves such an issue for a multi-state system using a multi-state component importance measure. The measure developed here is used to assess the impact of individual components on the improvement of system performance. Some basic theory to deal with a homogeneous multi-state coherent system has been developed, and finally, a rule has been derived to improve system performance using the importance measure. The applications of the results have been illustrated through a real-life example.

Interactions in the Rotor-Bearings-Support Structure System of the Multi-stage ORC Microturbine

Purpose This article discusses the dynamical analysis of the rotating system of a multi-stage vapour microturbine designed to operate in a combined heat and power plant (ORC-based) with rated electrical capacity of 100 kW. The aim of the conducted research was to check the impact of individual components on the dynamics of the prototypical microturbine and to identify the interactions occurring between them.

Prognostic Impact of Subsequent Acute Coronary Syndrome and Unplanned Revascularization on Long-Term Mortality After an Index Percutaneous Coronary Intervention: A Report From a Japanese Multicenter Registry.

BackgroundWhereas composite end points are often used in clinical trials of percutaneous coronary interventions (PCI), the impact of individual components on subsequent survival is incompletely defined. We evaluated the association of subsequent acute coronary syndromes (ACS) and unplanned coronary revascularization post‐PCI with long‐term survival.Methods and ResultsFrom 2009 to 2011, the KiCS‐PCI (Keio interhospital Cardiovascular Studies) consecutively enrolled patients undergoing PCI in 14 Japanese teaching hospitals. We identified patients who experienced ACS or unplanned coronary revascularization following their index PCI and compared subsequent survival during the 2‐year follow‐up period using propensity‐matched cohorts of patients who did and did not experience these events. Cox proportional hazard models were used to assess 2‐year all‐cause mortality. Because unstable angina is less severe than acute myocardial infarction, we also generated a separate propensity‐matched cohort for UA post‐PCI. Among 3348 PCI patients (mean age, 67.5±10.7 years; 79.7% male), 214 (6.4%) experienced a subsequent ACS (168 events [78.5%] were unstable angina), and 198 (5.9%) underwent unplanned revascularization. In the propensity‐matched cohorts, patients with a subsequent ACS admission had an increased risk of mortality as compared with those without (hazard ratio, 4.73; 95% confidence interval=1.35–16.6; P=0.015), whereas those with an unplanned revascularization did not have significantly higher risk (hazard ratio, 2.97; 95% confidence interval=0.57–14.3; P=0.19). Among unstable angina events, no association with mortality was observed (hazard ratio, 1.39; 95% confidence interval=0.48–4.00; P=0.54).ConclusionsIn the KiCS‐PCI registry, the incidence of a subsequent ACS was associated with higher mortality, but this association was less apparent after unplanned coronary revascularization or unstable angina. The prognostic implications of different outcomes in a composite end point should be considered when interpreting the results of clinical trials in PCI.

Volume Hologram Formation in SU-8 Photoresist.

In order to further understand the mechanism of volume hologram formation in photosensitive polymers, light-induced material response is analyzed in commonly used epoxy-based negative photoresist Epon SU-8. For this purpose, time-resolved investigation of volume holographic grating growth is performed in the SU-8 based host–guest system and in the pure SU-8 material, respectively. The comparison of grating growth curves from doped and undoped system allows us to draw conclusions on the impact of individual components on the grating formation process. The successive formation of transient absorption as well as phase gratings in SU-8 is observed. Influence of exposure duration and UV flood cure on the grating growth are investigated. Observed volume holographic grating formation in SU-8 can be explained based on the generation and subsequent diffusion of photoacid as well as time-delayed polymerization of exposed and unexposed areas.

Identifying Cases of Type 2 Diabetes in Heterogeneous Data Sources: Strategy from the EMIF Project.

Due to the heterogeneity of existing European sources of observational healthcare data, data source-tailored choices are needed to execute multi-data source, multi-national epidemiological studies. This makes transparent documentation paramount. In this proof-of-concept study, a novel standard data derivation procedure was tested in a set of heterogeneous data sources. Identification of subjects with type 2 diabetes (T2DM) was the test case. We included three primary care data sources (PCDs), three record linkage of administrative and/or registry data sources (RLDs), one hospital and one biobank. Overall, data from 12 million subjects from six European countries were extracted. Based on a shared event definition, sixteeen standard algorithms (components) useful to identify T2DM cases were generated through a top-down/bottom-up iterative approach. Each component was based on one single data domain among diagnoses, drugs, diagnostic test utilization and laboratory results. Diagnoses-based components were subclassified considering the healthcare setting (primary, secondary, inpatient care). The Unified Medical Language System was used for semantic harmonization within data domains. Individual components were extracted and proportion of population identified was compared across data sources. Drug-based components performed similarly in RLDs and PCDs, unlike diagnoses-based components. Using components as building blocks, logical combinations with AND, OR, AND NOT were tested and local experts recommended their preferred data source-tailored combination. The population identified per data sources by resulting algorithms varied from 3.5% to 15.7%, however, age-specific results were fairly comparable. The impact of individual components was assessed: diagnoses-based components identified the majority of cases in PCDs (93–100%), while drug-based components were the main contributors in RLDs (81–100%). The proposed data derivation procedure allowed the generation of data source-tailored case-finding algorithms in a standardized fashion, facilitated transparent documentation of the process and benchmarking of data sources, and provided bases for interpretation of possible inter-data source inconsistency of findings in future studies.

Planar Pore-Spanning Membranes: A Platform to Study Snare-Mediated Fusion Processes

In most physiological fusion processes, a strongly to moderately curved membrane (e.g. synaptic vesicle, virion) fuses with a planar membrane (e.g. (neuronal) plasma membrane). Despite these geometric considerations of the fusing membranes in nature, most in vitro results on fusion have been obtained from bulk vesicle assays, where two curved membranes fuse with each other resulting in an increase in vesicle size, i.e. the membrane's curvature changes during the fusion process.To establish a fusion assay that resembles the in vivo situation more closely, we aimed at a planar membrane architecture that is long-term stable and provides laterally mobile membrane components. Moreover, this membrane system should allow for the detection of single vesicle fusion events, should be accessible from both sides and should provide enough space for the incoming lipid material during the fusion process. One membrane system that suffice these requirements are pore-spanning membranes.We demonstrate that planar pore-spanning membranes harboring neuronal SNARE-proteins can be successfully generated on highly ordered and functionalized micrometer-sized pore arrays in silicon nitride by fusion of giant unilamellar vesicles. Full mobility of the membrane components was demonstrated by fluorescence correlation spectroscopy. Individual fusion events of unilamellar vesicles were analyzed by confocal laser scanning fluorescence microscopy in a time-resolved manner allowing to readily distinguish between vesicle docking, intermediate states such as hemifusion and full fusion. With this assay in hand, the impact of individual components, such as the PIP2 concentration in the planar membrane, on the fusion process can be analyzed in depth.

CORRELATION ANALYSIS OF THE MUTUAL INFLUENCE OF OXIDES OF NITROGEN, CARBON AND BENZ(A)PYRENE IN THE TOTAL TOXICITY OF EXHAUST GASES OF BOILERS CHP: PART 2. BOILERS OF SMALL THERMAL POWER

The article is devoted to the assessment of the impact of individual components of the combustion fuel to the total toxicity of the emissions. Defined limits of toxicity of exhaust gases for boilers of low thermal capacity. The analysis of the mutual influence of the components of combustion to increase the accuracy of determining the overall aggressiveness of maximum permissible emissions. The proposed approach allows more detail to assess the formation of a common background level of air pollution urban sprawl toxic substances, in areas where the predominant sources of heat are plants where the low thermal capacity. Forecasting the total toxicity of the emissions caused by the necessity of a critical assessment of the optimization of the combustion mode of a particular plant.