Risk Index Values Research Articles

Prognostic value of Geriatric Nutritional Risk Index and systemic immune-inflammatory index in elderly patients with acute coronary syndromes

The objective of this study was to evaluate the predictive value of the Geriatric Nutritional Risk Index (GNRI) combined with the Systemic Immunoinflammatory Index (SII) for the risk of major adverse cardiovascular events (MACE) following percutaneous coronary intervention in elderly patients with acute coronary syndrome (ACS). We retrospectively reviewed the medical records of 1202 elderly patients with acute coronary syndromes divided into MACE and non-MACE groups according to whether they had a MACE. The sensitivity analysis utilized advanced machine learning algorithms to preliminarily identify the critical role of GNRI versus SII in predicting MACE risk. We conducted a detailed analysis using a restricted cubic spline approach to investigate the nonlinear relationship between GNRI, SII, and MACE risk further. We constructed a clinical prediction model based on three key factors: GNRI, SII, and Age. To validate the accuracy and usefulness of this model, we compared it to the widely used GRACE score using subject work and recall curves. Additionally, we compared the predictive value of models and GRACE scores in assessing the risk of MACE using the Integrated Discriminant Improvement Index (IDI) and the Net Reclassification Index (NRI). This study included 827 patients. The GNRI scores were lower in the MACE group than in the non-MACE group, while the SII scores were higher in the MACE group (P < 0.001). The multifactorial analysis revealed a low GNRI (OR = 2.863, 95% CI: 2.026–4.047, P = 0.001), High SII (OR = 3.102, 95% CI: 2.213–4.348, P = 0.001). The area under the curve (AUC) for the predictive model was 0.778 (95% CI: 0.744–0.813, P = 0.001), while the AUC for the GRACE score was 0.744 (95% CI: 0.708–0.779, P = 0.001). NRI was calculated to be 0.5569, with NRI + at 0.1860 and NRI- at 0.3708. The IDI was found to be 0.0571, with a P-value of less than 0.001. These results suggest that the newly developed prediction model is more suitable for use with the population in this study than the GRACE score. The model constructed using GNRI and SII demonstrated good standardization and clinical impact, as evidenced by the standard, DCA, and clinical impact curves. The study shows that combining GNRI and SII can be a simple, cost-effective, and valuable way to predict the risk of MACE within one year in elderly acute coronary syndromes.

Prognostic value of the geriatric nutritional risk index and other hematological markers on long-term survival in the geriatric population.

The prognostic value of hematological markers has not been extensively explored in the geriatric population, particularly in the presence of the frailty phenotype among hospitalized individuals. Therefore, our study aimed to assess the influence of the frailty phenotype in hospitalized geriatric individuals on hematological markers and their impact on short- and long-term outcomes. This is a secondary analysis of a prospective cohort study. This study involved hospitalized individuals who were followed during their hospitalization and for nearly 2 years after discharge. At baseline, Fried's frailty phenotype was assessed, as well as hematological markers, including neutrophil-lymphocyte ratio, monocyte-lymphocyte ratio, neutrophil-monocyte ratio, platelet-lymphocyte ratio, systemic inflammation index, prognostic nutritional index, geriatric nutritional risk index (GNRI), and C-reactive protein-albumin ratio. The phase angle derived from bioelectrical impedance analysis was likewise considered a prognostic biomarker. Our main outcomes were hospital length of stay and mortality during follow-up. Frailty occurred in 43.2% of the population. Individuals with the frailty phenotype exhibited worse hematological markers and lower phase angle values. Low GNRI and elevated C-reactive protein-albumin ratio values were independently associated with mortality (hazard ratio = 6.88, 95% confidence interval 2.0-23.6; hazard ratio = 2.2, 95% confidence interval 1.1-4.4). Only higher values of the systemic inflammation index were independently associated with prolonged hospital stays. Hematological markers may serve as a feasible tool for prognostic assessment. Individuals with the frailty phenotype and low GNRI represented a worst-case scenario. Geriatr Gerontol Int 2024; 24: 312-318.

Prognostic Value of the Geriatric Nutritional Risk Index in Previously Untreated Patients with Advanced Non-Small Cell Lung Cancer Treated with a Combination Therapy of Anti-PD-1/-PD-L1 Antibodies and Platinum-Based Chemotherapy: A Multicenter Retrospective Study

Introduction: Combination therapy of anti-programmed cell death 1 (PD-1)/programmed cell death ligand 1 (PD-L1) antibodies and platinum-based chemotherapy has been widely used as a first-line treatment for patients with unresectable advanced non-small cell lung cancer (NSCLC) in clinical settings; however, prognostic biomarkers associated with survival outcomes have not been sufficiently investigated. Methods: We enrolled 147 previously untreated patients with advanced NSCLC who were treated with a combination therapy of anti-PD-1/-PD-L1 antibodies and platinum-based chemotherapy at eight institutions in Nagano Prefecture between December 2018 and April 2023. We evaluated the prognostic value of the geriatric nutritional risk index (GNRI), a systemic inflammatory nutritional biomarker calculated from body weight and serum albumin level, for patients with NSCLC treated with a combination therapy of anti-PD-1/-PD-L1 antibodies and platinum-based chemotherapy. Results: The cutoff value of the GNRI was set at 92. The high GNRI and low GNRI groups included 88 and 59 patients, respectively. The median follow-up period was 15.9 months. The overall survival (OS) in the high GNRI group was significantly longer than that in the low GNRI group (27.9 vs. 15.6 months, p = 0.015). Multivariate analysis revealed that a high GNRI was an independently favorable prognostic predictor for OS (hazard ratio, 1.73; 95% confidence interval, 1.06–2.86; p = 0.031). Conclusion: The present study demonstrates that the GNRI is a useful prognostic predictor in patients with NSCLC treated with a combination therapy of anti-PD-1/-PD-L1 antibodies and platinum-based chemotherapy in clinical settings.

Earthquake Risk Analysis for Disaster Management and Mitigation in Central Lombok

This research focuses on analyzing the risk of earthquake disasters in Central Lombok Regency for disaster management and mitigation purposes that can be implemented in the future. This disaster risk analysis has been prepared using a methodology adapted to the Regulation of the Head of the National Disaster Management Agency Number 02 of 2012 concerning General Guidelines for Disaster Risk Analysis, as well as referring to other guidelines applicable at national level ministries/institutions. Central Lombok Regency faces significant risks related to earthquakes, especially in the coastal, southern and central areas. The risk index value is obtained from data analysis related to the hazard, vulnerability and capacity components for each potential disaster grouped into 3 (three) levels/classes, namely 0-0.333 for low class, &gt; 0.333-0.666 for medium class, and &gt;0.666-1 for high class. The index values are different for each disaster, except for the regional capacity index which applies the same to all regions. The Central Lombok Regency disaster risk assessment was carried out at the village/sub-district level. Detailed results of the analysis of each disaster risk assessment index for all potential disasters in Central Lombok Regency are described for each component determining disaster risk assessment. The results of this research show that the highest risk of earthquake disasters is in East Praya at 31%, then the moderate disaster risk is in the Jonggat and Pringgarata areas at 65%, and the low risk is in the North Batuliang area at 68%.

The detrimental effects of heavy metals on tributaries exert pressure on water quality, Crossocheilus aplocheilus, and the well-being of human health

The escalating presence of heavy metals (HMs) in the Panjkora River water and their impact on fish pose a significant challenge to both the ecological community and human health. Consequently, a study was conducted with the primary aim of elucidating their influence on human health-related issues. To address this, the concentrations of heavy metals, including arsenic (As), cadmium (Cd), iron (Fe), manganese (Mn), lead (Pb), and zinc (Zn), in both water and the fish species Crossocheilus diplocheilus were investigated across various locations within the study area. The quantification of HMs concentration was carried out utilizing an atomic absorption spectrophotometer. The highest concentration in water was found as 0.060 mg/L for Pb and lowest for Fe, whereas the highest concentration in fish was 2.028 mg/kg for Pb and lowest for As. Human health risk associated with fish eating was evaluated by using health risk indices (HRI) for non-carcinogenic health risks and targeted cancer risk (TR) for carcinogenic health risks. The values of the health risk index (HRI) were found greater than 1 except Fe (0.0792), Zn (0.782), and Mn (0.541). The highest mean HRI > 1 was recorded for As (62.99), Cd (26.85), and Pb (10.56). This implies that fish consumption from river Panjkora is not safe up to some extent. Similarly, the TR value for As, Cd, and Pb was found 2.8 ×10-2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ imes {10}^{-2}$$\\end{document}, 1.6 ×10-2\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\ imes {10}^{-2}$$\\end{document}, 2.8 ×10-3\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${10}^{-3}$$\\end{document} which showed cancer risk. There is a detected risk to human health associated with the consumption of fish from the Panjkora River. The government must implement adaptive measures to address this significant issue of water pollution in the study area. Additionally, there is a need for further extensive and prolonged research studies in this context.

Interactions between microplastics and Culex sp. larvae in wastewater.

Microplastics (MPs) are a growing issue because they endanger both aquatic organisms and humans. Studies have indicated that wastewater treatment plants (WWTPs) are one of the major contributors to MPs in the environment. However, studies on the abundance of MP contamination in WWTPs and its transmission into aquatic organisms are still scarce, especially in Egypt. The goal of this study was to examine the temporal fluctuations in the distribution of MPs in surface water and the dominant macroinvertebrate fauna (Culex sp. larvae) in a fixed wastewater basin in Sohag Governorate, Egypt. The average of MPs in the surface water was 3.01 ±0.9 particles/L. The results indicated to seasonal variation of MP abundance in the wastewater basin that was significantly higher in winter than in the other seasons. The risk index for polymers (H), pollution load index (PLI), and potential ecological risk index (RI) were used to assess the degree of MP contamination. The basin has moderate H values (<1000) because of the presence of polymers with moderate hazard scores such as polyester (PES), polyethylene (PE), and polypropylene (PP). According to the PLI values, surface water is extremely contaminated with MPs (PLI: 88 to 120). The RI values of surface water showed higher ecological risk (level V). MPs in Culex sp. larvae were seasonally changed with an 85% detection rate, and an abundance average of 0.24 ±0.65 particles/ind, MP concentration in Culex sp. larvae was influenced by the MP characters (shape, color, and polymer). The larvae of Culex sp. showed a greater preference for black and red fibrous polyester (PES) with sizes (<1000 μm) of MPs. These findings suggest that Culex sp. larvae prefer ingesting MPs that resemble their food. It is possible to overestimate Culex sp.'s preference for lower sizes because of their catabolism of MPs. To better understand the preferences of Culex sp. larvae for MPs, further controlled trials should be conducted. PRACTITIONER POINTS: Wastewater is highly contaminated with microplastics (MPs) in the different seasons. First report of detection of the seasonal abundance of MP in Culex sp. larvae. Culex sp. larvae showed a stronger feeding preference for MPs with specific characteristics. Smaller size and blue polyester fibers were the dominant characteristics of MPs in wastewater.

Prognostic value of preoperative geriatric nutritional risk index in intrahepatic cholangiocarcinoma after hepatectomy: a single‑center retrospective cohort study.

Patients with malignant tumors are prone to develop nutritional disorders. The Geriatric Nutritional Risk Index (GNRI) is a new prognostic indicator for assessing the nutritional status. This study was performed to evaluate whether the preoperative GNRI can serve as a prognostic factor in patients with intrahepatic cholangiocarcinoma (ICC) undergoing curative surgery. This study included 123 consecutive patients with ICC who were treated with curative surgery. Kaplan-Meier analysis was performed to calculate the recurrence-free survival (RFS) and overall survival (OS), and Cox regression analysis was used to evaluate prognostic factors. Of the 123 patients, 82 were male and 41 were female. The median age of the patients was 70years, and the median follow-up period was 37.0months (interquartile range, 16.2-71.7months). The patients were classified by the median GNRI into a low GNRI group (GNRI < 105) and high GNRI group (GNRI ≥ 105). The patients in the low GNRI group had a significantly poorer prognosis in terms of RFS and OS than the patients in the high GNRI group (RFS, p = 0.0201; OS, p < 0.0001). Lymph node metastasis [hazard ratio (HR), 4.66; 95% confidence interval (CI), 2.46-8.85], postoperative complications (HR, 2.38; 95% CI, 1.32-4.31), and a low GNRI (HR, 2.53; 95% CI, 1.42-4.50) were independent poor prognostic factors for OS. The GNRI may be a useful prognostic indicator in patients with ICC undergoing curative hepatectomy.

Nickel uptake in leafy greens from contaminated soil: an investigation into phytoavailability and health risk assessment using in vitro digestion model.

Nickel (Ni) is a toxic metal that not only pollutes the environment but also causes harmful impacts on plant growth and human health. Therefore, it is crucial to assess the relationship between the phytoavailability of Ni in soil and its accumulation in edible and non-edible parts of vegetables. A pot experiment was conducted to investigate Ni uptake in three different leafy vegetables, spinach (Spinacia oleracea L.), lettuce (Lactuca sativa L.), and fenugreek (Trigonella foenum-graecum L.), grown in soil artificially contaminated with Ni at three different treatment levels (100mgkg-1, 200mgkg-1, and 300mgkg-1). The potential dietary toxicity of these vegetables in humans was examined by using an in vitro digestion model. The lowest and highest chlorophyll contents were detected in lettuce at 300mgkg-1 of Ni concentration and in control plants of spinach. Their values were 34.16 ± 3.01 (SPAD unit) and 53 ± 3.7673 (SPAD unit), respectively. Among the three vegetables, lettuce and spinach at 300mgkg-1 exhibited the highest accumulation of Ni, with 43mgkg-1 in edible parts and 182mgkg-1 in non-edible parts. Furthermore, health risk index (HRI) values were found to be > 1 for lettuce and fenugreek at Ni concentrations of 200 and 300mgkg-1 for both children and adults. The average bioaccessibility of Ni in lettuce, fenugreek, and spinach during the gastrointestinal phase was 32-23%, 24-10%, and 45-37%, respectively, at a Ni concentration of 300mgkg-1. All three vegetables grown on Ni-contaminated soil may potentially contribute to food chain toxicity. The HRI values being > 1 suggest that these vegetables are unsafe for consumption. Monitoring of Ni concentration in leafy vegetables is essential to minimize human health risks associated with food chain contamination.

Quantitative risk analysis of sediment heavy metals using the positive matrix factorization-based ecological risk index method: a case of the Kuye River, China.

Identifying the sources of heavy metals (HMs) in river sediments is crucial to effectively mitigate sediment HM pollution and control its associated ecological risks in coal-mining areas. In this study, ecological risks resulting from different pollution sources were evaluated using an integrated method combining the positive matrix factorization (PMF) and the potential ecological risk index (RI) model. A total of 59 sediment samples were collected from the Kuye River and analyzed for eight HMs (Zn, Cr, Ni, Cu, Pb, As, Cd, and Hg). The obtained results showed that the sediment HM contents were higher than the corresponding soil background values in Shaanxi Province. The average sediment Hg content was 3.42 times higher than the corresponding background value. The PMF results indicated that HMs in the sediments were mainly derived from industrial, traffic, agricultural, and coal-mining sources. The RI values ranged from 26.15 to 483.70. Hg was the major contributor (75%) to the ecological risk in the vicinity of the Yanjiata Industrial Park. According to the PMF-based RI model, coal-mining activities exhibited the strongest impact on the river ecosystem (48.79%), followed, respectively, by traffic (34.41%), industrial (12.70%), and agricultural (4.10%) activities. These results indicated that the major anthropogenic sources contributing to the HM contents in the sediments are not necessarily those posing the greatest ecological risks. The proposed integrated approach in this study was useful in evaluating the ecological risks associated with different anthropogenic sources in the Kuye River, providing valuable suggestions for reducing sediment HM pollution and effectively protecting river ecosystems.

Ecological and Health Risks Attributed to Rare Earth Elements in Coal Fly Ash.

The occurrence and distribution of yttrium and rare earth elements (REYs), along with major elements and heavy metal(loid)s (HMs) in coal fly ash (CFA) from five coal-fired power plants (CFPPs), were analyzed, and the REY-associated ecological and health risks were assessed. The individual REYs in CFA were abundant in the following order: Ce > La > Nd > Y > Pr > Gd > Sm > Dy > Er > Yb > Eu > Ho > Tb > Tm > Lu. The total REY content ranged from 135 to 362 mg/kg, averaging 302 mg/kg. The mean light-to-heavy REY ratio was 4.1, indicating prevalent light REY enrichment in CFA. Significantly positive correlations between the REYs suggested that they coexist and share similar origins in CFA. REYs were estimated to pose low to moderate ecological risks, with risk index (RI) values ranging from 66 to 245. The hazard index (HI) and target cancer risk (TCR) of REYs from CFA, estimated to be higher for children (HIc = 0.15, TCRc = 8.4 × 10-16) than for adults (HIa = 0.017, TCRa = 3.6 × 10-16), were well below the safety limits (HI = 1, TCR = 1.0 × 10-6). However, the danger to human health posed by HMs in the same CFA samples (HIc = 5.74, TCRc = 2.6 × 10-4, TCRa = 1.1 × 10-4) exceeded the safe thresholds (excl. HIa = 0.63). The mean RI and HI attributed to REYs in CFA were 14% and 2.6%, respectively, of the total risks that include HMs.

Temporal change of potential toxic element contamination, ecological and toxicological risk in holocene in Southern Black Sea coasts (Türkiye)

This study was carried out to evaluate the temporal variation of the potential toxic element concentration and ecological risk level during the Holocene along the Southern Black Sea coasts. Ecological and ecotoxicological indices such as enrichment factor (EF), modified ecological risk index (mRI), modified potential ecological risk index (mPER) and toxic risk index (TRI) were used in the study. Anthropogenic effects were determined to be more dominant in the western and middle parts of the Southern Black Sea Region. As, Cu, Pb, Zn, Cd, Hg, Ni enrichments were observed in the last 200 – 300 years and the potential risk index values related to them increased. Source of enrichment detected in the cores was found to be related to the volcanic activities that occurred in different geological periods. It was determined that the increases in PTE concentration observed specifically in the middle parts of the cores coincided with the dates of the volcanic activities observed in Anatolia.

Migration and transformation of phosphorus and toxic metals during sludge incineration with Ca additives

The recycling and utilization of phosphorus resources in sludge is becoming increasingly important. In this study, we compared the conversion of phosphorus and toxic metal passivation effects of different Ca additives under oxygen-rich combustion conditions and elucidated their specific mechanisms of action. The experimental results indicated that four Ca-based additives improved the recovery rate of total phosphorus, and promoted the generation of stable apatite phosphorus (AP). The effect of CaCl2 and CaO was greater than that of Ca(OH)2 and CaSO4. CaCl2 promoted the formation of Ca3(PO4)2 and Ca2P2O7, and CaSO4 improved the conversion of AlPO4 to Ca(H2PO4)2 with increasing temperature. The conversion capacity of CaO on non-apatite inorganic phosphorus to AP was greater than that of Ca(OH)2, and more CaH2P2O7, Ca(PO3)2, and Ca–Al–P minerals were found. Toxic metal percentages decreased after sludge incineration with CaCl2. Compared with CaO and Ca(OH)2, the toxic metal adsorption effect of CaSO4 was more significant. The influence of Ca additives on the conversion of Zn into stable components was as follows: CaCl2 > Ca(OH)2 > CaO > CaSO4. Ca additives reduced the toxic metal contamination level and ecological risk index values, and the order of toxic metal contamination levels was Ni > Zn > Cr > Cu > Mn. The experiment confirmed the conversion of phosphorus and the toxic metal passivation effect of Ca additives during oxy-fuel combustion of sludge, which is beneficial for its resource utilization.

Diagnostic Value of Nutritional Risk Index and Other Indices for Predicting Sarcopenia in the Middle-Aged and Elderly Population of China Without Cancer: A ROC Curve Analysis.

Emerging evidence suggests that systemic inflammatory and nutritional biomarkers, along with derived indices, could serve as predictors for sarcopenia in cancer population. This study aimed to compare these predictors, focusing on the nutritional risk index (NRI) and evaluate its diagnostic value, for sarcopenic patients without cancer. This cross-sectional retrospective study included 1674 participants. Sarcopenia is defined by skeletal muscle mass index (SMI). Laboratory data reflected the values of systemic inflammatory and nutritional biomarkers, from which the derived indices were calculated. Multiple logistic regression analysis, ROC curve analysis, and the Youden index were utilized to assess the association between these markers and sarcopenia and determine the cutoff value for predicting sarcopenia. Among all participants (1110 men and 564 women, mean age 61.97 ± 9.83 years), 398 individuals were diagnosed with sarcopenia, indicating a prevalence of 23.78% in China's middle-aged and elderly population without cancer. Logistic regression analysis revealed significant associations between all biomarkers and derived indices with sarcopenia. Following adjustment for potential confounders, lower NRI values were significantly associated with a higher incidence of sarcopenia. For sarcopenia diagnosis, the area under the curve (AUC) for NRI was 0.769 ([95% CI, 0.742, 0.796], P < 0.001), with a cutoff value of 106.016, sensitivity of 75.6% and specificity of 66.1%. NRI demonstrated greater predictive advantage for sarcopenia incidence in men compared to women. A lower NRI value was associated with a higher prevalence of sarcopenia. NRI shows promise for early, rapid, and effective sarcopenia screening, particularly in China's middle-aged and elderly male population without cancer.

Geriatric nutritional risk index has a prognostic value for recovery outcomes in elderly patients with brain abscess.

The Geriatric Nutritional Risk Index (GNRI) is a straightforward and objective tool for nutritional screening in older patients and has been demonstrated to possess prognostic predictive value in several diseases. Nonetheless, there is a lack of research on the nutritional risk associated with brain abscess in the older. This study aimed to evaluate the prevalence of nutritional risk among these patients by GNRI and to investigate its potential prognostic value for clinical outcomes. From August 2019 to April 2023, 100 older patients diagnosed with brain abscess were enrolled in this single-center prospective cohort study, which evaluated the prognostic value of the Geriatric Nutritional Risk Index (GNRI) in elderly brain abscess patients. Data collected included demographic, and clinical characteristics at admission and calculated the GNRI, and the Glasgow Outcome Scale (GOS) score 6 months post-discharge. A GOS score of 5 was considered indicative of a good recovery, whereas scores ranging from 1 to 4 were classified as poor recovery. The results revealed that 48% of older brain abscess patients were at risk of malnutrition according to the GNRI. These patients had significantly higher post-admission C-reactive protein (CRP) levels (p = 0.017), more comorbidities (p < 0.001), and higher age-adjusted Charlson Comorbidity Index (aCCI) scores (p < 0.001) compared to those without nutritional risk. Spearman correlation analysis showed that GNRI scores were negatively correlated with CRP levels, comorbidities, and aCCI scores, and positively correlated with Glasgow Outcome Scale (GOS) scores (Spearman's ρ = 0.624, p < 0.001). Multivariate logistic regression revealed that lower GNRI values were linked to reduced GOS levels (OR = 0.826, 95% CI: 0.775-0.880). ROC analysis determined a GNRI threshold of 97.50 for predicting poor recovery, with 90.57% sensitivity and 87.23% specificity. The older brain abscess patients exhibited a high malnutrition risk. GNRI showed an important predictive value for recovery in older patients, which could be helpful in clinical intervention and rehabilitation.

Assessment of potential ecological risk of heavy metal contamination of agricultural soils in Kazakhstan.

Accumulation of heavy metals in soil can lead to the deterioration of soil quality, reduce soil fertility and crop yields, and thus threaten human and animal health. The study aimed to assess the potential ecological risk of heavy metal contamination of agricultural soils in Kazakhstan. The study was carried out in 2021 on the soils of the Zhdanovskoye owner-operated farm in the Sokolovsko-Sarybai district of the Kostanay region. The quantitative content of heavy metals, such as lead (Pb), mercury (Hg), arsenic (As), and cadmium (Cd), was determined, and concentrations of trace elements, such as zinc (Zn), copper (Cu), iron (Fe), and manganese (Mn), were calculated for the considered contaminated lands. The potential ecological risk index (RI) proposed by L. Hakanson was used in the study concerning heavy metal contamination of soil. As a result, the presence of trace elements and heavy metals in the considered areas of the Kostanay region was shown. The RI values for all sites ranged from 137 to 447, corresponding to the level of ecological risk grading from low to high. The average RI for As, Cd, Hg, Pb, Zn, Ni, and Cu amounted to 328, which indicates a high ecological risk. Detected levels of As, Cd, Zn, and Pb in long-term abandoned mining areas were well above national thresholds, indicating the impending need to fully investigate and assess the suitability of the land for further agricultural use. The availability of such data will allow predicting cluster-based development of processing infrastructures in the vicinity of agricultural lands.

Analysis the Effect of Height on Work Accidents in High Rise Building Projects

Indonesia as the population increases, but this is inversely proportional to the availability of land so that the idea of developing high-rise buildings arises. Building projects are high-risk projects, at height there are many hazards such as falling, slipping, falling materials, and electrocution. This study uses a simple linear regression method to see how height affects work accidents and conducts a risk assessment. The results of large-sized companies, height has a significant effect on the risk of falling from height by 30.5%, the risk of eye, skin and respiratory disorders by 14.8% and the risk of being pinched at the work site by 21.4%. In medium-sized companies, height has a significant effect on the risk of falling from height by 15.6% and the risk of eye, skin and respiratory disorders by 11.7%. In small-size companies, height has a significant effect on the risk of falling from height by 12.2% and the risk of being hit by materials from above by 45.5%. The result of the risk assessment for all company qualifications is falling from a height with an average risk index value for large companies of 15.36 (high risk), medium companies 16.52 (high risk) and small companies 8.47 (medium risk).

Zinc biofortification and implications on growth, nutrient efficiency, and stress response in Amaranthus cruentus through soil application of biosynthesized nanoparticles

The study investigates the effects of treating Amaranthus cruentus (red amaranth) plants with biosynthesized zinc nanoparticles (Zn Nps) and zinc sulfate at concentrations of 10, 25, and 50 kg/ha [4.46, 11.11 and 22.32 ppm, respectively] on plant height, weight, zinc accumulation, zinc use efficiency, health risk index associated with the consumption of treated plants and gene expression analysis of stress-responsive genes. Notably, applying 10 kg/ha [4.5 ppm] of biosynthesized Zn Nps resulted in an increase in the plant height by 34 % and the fresh weight by 53 % compared to the other treatments. However, an increase in the concentration of Zn Nps application led to reduced plant height and fresh weight, both for 25 [11 ppm] and 50 [22 ppm] kg/ha concentration, likely due to excessive zinc toxicity. Zinc accumulation in plant tissues increased significantly for all treatments compared to the control, with dose-dependent increases in leaves, shoots, and roots for Zn Nps. Zinc use efficiency was evaluated, with biosynthesized Zn Nps at 10 kg/ha displaying superior agronomic efficiency, partial productivity factor, and physiological efficiency. While zinc sulfate at 10 kg/ha exhibited lower values than biosynthesized Zn Nps, they still surpassed other concentrations, highlighting the benefits of optimizing zinc levels. Health risk assessment revealed safe consumption across treatments, with hazard risk index (HRI) values below one, particularly for plants treated with 10 kg/ha biosynthesized Zn Nps. Gene expression analysis of stress-responsive genes AhDGR2 and AhGSH1, remained relatively consistent across all treatments.

Ecological and Human Health Risks Assessment of Arsenic in Sediments Around Gold Mining Areas in Northern Côte d’Ivoire

Arsenic contamination of sediments is a worldwide concern, both for the environment and for human health. However, few data are available on the state of arsenic pollution in sediments near artisanal and industrial gold mining areas in Côte d'Ivoire. The aim of this study is to assess the spatial distribution of arsenic and its ecological and human health risks in sediments around gold mining areas in northern Côte d'Ivoire. Sampling was carried out in artisanal and industrial mining areas in Korhogo and Tengrela, northern Côte d'Ivoire. Spatial differences were determined using analysis of variance. Pollution indices were studied using the contamination factor and the enrichment factor. Non-carcinogenic and carcinogenic risk indices were used to investigate human health risks. The study revealed total arsenic concentrations ranging from 1.64 ± 0.04 to 159.72 ± 51.91 µg/g. It found Arsenic concentrations in sediments varied considerably from station to station. The results of the contamination factor indicated that the sediments were weakly to very strongly contaminate with arsenic. Non-carcinogenic risk index values ranged from 1.83E-04 to 1.78E-02, indicating low adverse effects on the surrounding habitats. In addition, the results of the potential risk (CRt) for human health revealed the existence of significant carcinogenic risks from arsenic for residents in the vicinity of the Tongon mining area.

Incongruent dissolution of silicates and its impact on the environment: an example of a talc mine

The paper analyzes the process of incongruent dissolution of silicates taking place in close proximity to a talc mine. The chemical and phase composition as well as the concentrations and mobility of potentially toxic elements (PTE) in research material with varying levels of weathering were determined using instrumental (XRF, XRD) and chemical methods (extractions: BCR, aqua regia, water leaching, 0.05 M EDTA). It was demonstrated that the predominant minerals in the weathering crust include weathering-resistant minerals (i.e. quartz and muscovite) and secondary minerals (kaolinite, illite and interstratified minerals, vermiculite/chlorite) and that the predominant processes are hydrolysis and oxidation. The weathering process has an impact on the complexity of the chemical and mineral composition and the diverse structure of the weathering crust. A layer of Fe and Al oxides and hydroxides forms in the upper part of the weathering crust, while the amount of silica decreases. Low-mobility elements (i.e. Si, Al and Fe) react on the phase separation surface, causing the formation of clay minerals (i.e. vermiculite, montmorillonite) or Al and Fe hydroxides (e.g. goethite). The duration of weathering causes an increase in the content of PTEs in solid materials: multifold in the case of Cr (15), Ba (9), Pb (7), Zn (6) and considerably lower in the case of V (1.3), Sr (0.8) and Co (0.4). It was demonstrated that PTEs co-occur in several chemical fractions in the weathering crust and that the highest share of their total concentration are cations incorporated in the crystal lattice of minerals and bound by strong crystalline bonds (F4 46%). The lowest share was observed for the reducible fraction (9%) and the share of the oxidizable fraction was 29% The most mobile cations connected by the weakest bonds comprised only 16% of the total concentration. Based on the content of the readily soluble fraction of PTEs, it was concluded that the degree of weathering does not increase the environmental risk, but actually reduces it for Cr, Cr and Pb. The obtained Ecological Risk Index (ERI) values indicate that the ecological risk associated with the elements tested is low for the entire area, which means that natural weathering processes do not have any impact on environmental pollution.

Research on Network Security Situation Assessment Model in Decentralized Computing Environment

Abstract In this paper, decentralized computing is used as an entry point to review the latest research results on network security issues through two methods, namely task assignment and hierarchical analysis, and construct a network security posture assessment model based on decentralized computing. A control framework is constructed by utilizing the functional complementarity of continuous authentication and security threat assessment in order to facilitate real-time observation of the security situation of the network and timely elimination of malicious nodes. A quantitative network security threat posture assessment model is constructed through hierarchical analysis to observe the extent of the breach of confidentiality and integrity of network information based on the security threat posture index. The effectiveness of the network security posture assessment model and method proposed in this paper was verified by empirical analysis in a simulated environment. The results show that after the simulated attack lasts for 12 minutes, the network security risk index measured by the assessment model in the test cascade case becomes larger with the intensification of the network attack, and the risk index value is up to 5.5. In summary, the network security posture assessment model based on decentralized computing designed in this paper can quickly reflect the changes in the security status of the underlying network and provide administrators with the current security status of the network in a macroscopic way.