Revealing soil microbial ecophysiological indicators in acidic environments laden with heavy metals via predictive modeling: Understanding the impacts of black diamond excavation.

Appraising the activity of soil microbial community in relation to soil acidity and heavy metal (HM) content can help evaluate it's quality and health. Coal mining has been reported to mobilize locked HM in soil and induce acid mine drainage. In this study, agricultural soils around coal mining areas were studied and compared to baseline soils in order to comprehend the former's effect in downgrading soil quality. Acidity as well as HM fractions were significantly higher in the two contaminated zones as compared to baseline soils (p < 0.01). Moreover, self-organizing and geostatistical maps show a similar pattern of localization in metal availability and soil acidity thereby indicating a causal relationship. Sobol sensitivity, cluster, and principal component analyses were employed to enunciate the relationship between the various metal and acidity fractions with that of soil microbial properties. The results indicate a significant negative impact of metal bioavailability, and acidity on soil microbial activity. Lastly, Taylor diagrams were employed to predict soil microbial quality and health based on soil physicochemical inputs. The efficiency of several machine learning algorithms was tested to identify Random Forrest as the best model for prediction. Thus, the study imparts knowledge about soil pollution parameters, and acidity status thereby projecting soil quality which can be a pioneer in sustainable agricultural practices.

Eisenia fetida-driven vermitechnology for the eco-friendly transformation of steel waste slag into organic amendment: An insight through microbial diversity and multi-model approach.

The processing of steel waste slag from the black metallurgical sector seriously threatened the ecology. To counter these dangers, appropriate detoxification methods were required. Vermitechnology was one such strategy that could successfully convert this industrial waste into nutrient-rich products suitable for use in agriculture. This research primarily focuses on employing vermitechnology for the transformation of waste steel slag into vermicompost and to determine changes in microbial composition, nutrient cycling, and metal detoxification facilitated by earthworms (Eisenia fetida). Earthworm populations in steel waste vermibeds (sw-vermibeds) increased by 2.87-3.07 folds. T1(SW + CD-1:1) comparatively showed increased levels of nutrients such as nitrogen, phosphorus, and potassium. Microbial and enzymatic parameters were more pronounced in treatment T1. The findings of phospholipid fatty acid (PLFA) diversity demonstrate microbial diversity and fatty acid composition. Based on PLFA Sobol Sensitivity Analysis (SSA), PUFA and cyclo were the most sensitive inputs to the presence of heavy metal (HMs) concentrations in SW. In accordance with Taylor-based modelling, R-tree, and Mars were the most trusted regression models for predicting HMs toxicity on microbes. The bioavailable metal fractions of HMs (Fe, Ni, Cd, Cu, Pb, and Cr) decreased by 61-83%. The correlation was performed for 0 and 90 days for metal microbial interactions r (0 days), [BSR vs Fe, Cd, Cu, Ni = -0.99, -0.82, -0.43, -0.99] and r (90 days), [FDA vs Fe, Cu, Ni = -0.97, -0.47, -0.95]. Overall, the results indicated that T1(1:1 SW + CD) provided more favorable conditions for the development of microbes and Eisenia fetida. This research presents a new perspective to the world community on the transformation of harmful steel waste slag into advantageous biological resources by introducing a novel method of employing Eisenia fetida to remediate hazardous steel waste slag.

Elucidating the synergistic effect of acidity and metalloid poisoning on the microbiome through metagenomics and machine learning approaches.

The abundance and diversity of the microflora in a complex environment such as soil is everchanging. Mica mining has led to metalloid poisoning and changes in soil biogeochemistry affecting the overall produce and leading to toxic dietary exposure. The study focuses on two prominent stressors acidity and arsenic, in mining-contaminated agricultural locations. Soil samples were collected from agricultural fields at a distance of 50 m (zone 1) and 500 m (zone 2) from active mines. Mean arsenic concentration was higher in zone 1 and pH was lower. Geostatistical and self-organizing maps were employed to report that the pattern of localization of soil acidity and arsenic content is similar indicating a causal relationship. Cluster and principal component analysis were further used to materialize a negative effect of soil acidity fractions and arsenic labile pool on soil enzymatic activity (fluorescein diacetate, dehydrogenase, ß-1,4-glucosidase, phosphatase, and urease), respiration and Microbial biomass carbon. Soil metagenomic analysis revealed significant differences in the abundance of microbial populations with zone 1 (contaminated zone) having lower alpha and beta diversity. Finally, the efficacy of several machine-learning tools was tested using Taylor diagrams and an effort was made to select a potent algorithm to predict the causal stressors responsible for depreciating soil microbial health. Random Forrest had superior predictive power based on numerical evidence and was therefore chosen as the best-fitted model. The aforementioned insights into soil microbial health and sustenance in stressed conditions can be beneficial for predicting remedial strategies and practicing sustainable agriculture.

Appraise potassium chemistry and distribution patterns in tailing soil, India: Through quantity - Intensity relations and multi model statistical methods.

Tailings are waste materials left behind after mineral extraction. Giridih district of Jharkhand, India has the second largest ore of mica mines in the country. This study evaluated the forms of potassium (K+) and quantity-intensity relationships in soils contaminated by tailings around the abundant mica mines. A total of 63 rice rhizosphere soil samples (8-10 cm depth) were collected from agricultural fields near 21 mica mines in the Giridih district at different distances: 10 m (zone 1), 50 m (zone 2), and 100 m (zone 3). The samples were collected to quantify various forms of potassium in the soil and characterize non-exchangeable K (NEK) reserves and Q/I isotherms. The semi-logarithmic release of NEK with continuous extractions suggests a decrease in release over time. Significant values of threshold K+ levels were observed in zone 1 samples. As K+ concentrations increased, the activity ratio (AReK) and its corresponding labile K+ (KL) concentrations decreased. The AReK, KL, and fixed K+ (KX) values were higher in zone 1 [AReK: 3.2 (mol L-1)1/2 × 10-4, KL: 0.058 cmol kg-1, and KX: 0.038 cmol kg-1), except for readily available K+ (K0) for zone 2 (0.028 cmol kg-1). The potential buffering capacity and K+ potential values were higher in zone 2 soils. In zone 1, Vanselow selectivity coefficients (KV) and Krishnamoorthy-Davis-Overstreet selectivity coefficients (KKDO) were higher, while Gapon constants were higher in zone 3. It was found that AReK was significantly correlated with K0, KL, K+ saturation, -ΔG, KV, and KKDO. Different statistical methods such as positive matrix factorization, self-organizing maps, geostatistics, and Monte Carlo simulation approaches were employed to predict soil K+ enrichment, source apportionment, distribution patterns, availability for plants, and contribution to soil K+ maintenance. Thus, this study significantly contributes to understanding K+ dynamics in mica mine soils and operational K+ management.

Assessing pollution and health risks from chromite mine tailings contaminated soils in India by employing synergistic statistical approaches.

Potentially toxic elements (PTEs) contamination in the agricultural soil can generate a detrimental effect on the ecosystem and poses a threat to human health. The present work evaluates the PTEs concentration, source identification, probabilistic assessment of health hazards, and dietary risk analysis due to PTEs pollution in the region of the chromite-asbestos mine, India. To evaluate the health risks associated with PTEs in soil, soil tailings and rice grains were collected and studied. The results revealed that the PTEs concentration (mainly Cr and Ni) of total, DTPA-bioavailable, and rice grain was significantly above the permissible limit in site 1 (tailings) and site 2 (contaminated) as compared with site 3 (uncontaminated). The Free ion activity model (FIAM) was applied to detect the solubility of PTEs in polluted soil and their probable transfer from soil to rice grain. The hazard quotient values were significantly higher than the safe (FIAM-HQ < 0.5) for Cr (1.50E+00), Ni (1.32E+00), and, Pb (5.55E+00) except for Cd (1.43E-03), Cu (5.82E-02). Severity adjustment margin of exposure (SAMOE) results denote that the PTEs contaminated raw rice grain has high health risk [CrSAMOE: 0.001; NiSAMOE: 0.002; CdSAMOE: 0.007; PbSAMOE: 0.008] for humans except for Cu. The Positive matrix factorization (PMF) along with correlation used to apportion the source. Self-organizing map (SOM) and PMF analysis identified the source of pollution mainly from mines in this region. Monte Carlo simulation (MCS) revealed that TCR (total carcinogenic risk) cannot be insignificant and children were the maximum sufferers relative to adults via ingestion-pathway. In the spatial distribution map, the region nearer to mine is highly prone to ecological risk with respect to PTEs pollution. Based on appropriate and reasonable evaluation methods, this work will help environmental scientists and policymakers' control PTEs pollution in agricultural soils near the vicinity of mines.

Pollution and health risk assessment of mine tailings contaminated soils in India from toxic elements with statistical approaches.

The rapid mining activities of mica mines in Giridih district, India, have led to toxic metal pollution of agricultural soil. This is a key concern for environmental risk and human health. 63 top soil samples were collected at a distance of 10 m (Zone 1), 50 m (Zone 2), and 100 m (Zone 3) from near 21 mica mines with agriculture fields. The mean concentration of total and bio-available toxic elements (TEs - Cr, Ni, Pb, Cu, Zn, and Cd) was higher in zone 1 across three zones. The Positive matrix factorization model (PMF) and Pearson Correlation analysis were used to identify waste mica soils with TEs. Based on PMF results, Ni, Cr, Cd, and Pb were the most promising pollutants and carried higher environmental risks than the other TEs. Using the self-organizing map (SOM), zone 1 was identified as a high-potential source of TEs. Soil quality indexes for TEs risk zone 1 were found to be higher across three zones. Based on the health risk index (HI), children are more adversely affected than adults. Monte Carlo simulations (MCS) model and sensitivity analysis of total carcinogenic risk (TCR), children were more affected by Cr and Ni than adults through ingestion exposure pathways. Finally, a geostatistical tool was developed to predict the spatial distribution patterns of TEs contributed by mica mines. In a probabilistic assessment of all populations, non-carcinogenic risks appeared to be negligible. The fact that there is a TCR can't be ignored, and children are more likely to develop it than adults. Mica mines with TEs contamination were found to be the most significant anthropogenic contributor to health risks based on source-oriented risk assessment.

Fertility Awareness and Perceptions among Procreant Age Group in Western India: An Exploration with Mixed Methodology.

BACKGROUND: In India, fertility rate demonstrates a descending trend whereas there is upsurge in infertility rate. In addition, a knowledge gap concerning fertility has been identified among the current generation. AIM: To quantify the fertility awareness and in-depth exploration of perceptions about fertility among procreant age group. MATERIALS AND METHODS: Explanatory mixed method design with sequential data collection, nested sampling technique was assumed. Purposive sampling was incorporated to recruit 1000 participants into the prospective cohort study. Awareness was measured using fertility knowledge questionnaire, while qualitative data were collected by in-depth interview of 28 participants until data saturation. The study was intact in terms of ethical compliance. RESULTS: Sociodemographic data revealed that the mean age of the respondents was 31.33 ± 6.4 years, 59.6% were female, 78.3% were married, 61.5% completed their university education, 76.0% were working. The mean of overall fertility awareness score was 50.2 ± 13.5. There was no statistical difference in responses of the subgroups (P > 0.05) and only educational status was significantly associated (P = 0.001*) with awareness scores. Perceptions pertinent to fertility were evidently varying amongst the general group and couples accessing fertility treatment, which subsequently was elucidated with the qualitative thematic analysis. CONCLUSION: Procreant age group of western India demonstrated low to average fertility awareness. Assertive recommendations were proposed for fertility awareness initiatives across both genders, irrespective of educational status.

A bentazone-resistant mutant of cyanobacterium, Synechococcus elongatus PCC7942 adapts different strategies to counteract on bromoxynil- and salt-mediated oxidative stress.

A bentazone-resistant mutant of Synechococcus elongatus PCC7942, called Mu2, tolerated elevated NaCl concentrations. As bentazone and bromoxynil exhibit similar mechanism of action, we investigated whether the mutant also toleratedbromoxynil and found it to be true. The line of investigation was then whether the acclimation strategy for the three stressors, bentazone, bromoxynil and NaCl was same or different. The cellular contents of malondialdehyde, hydrogen peroxide and superoxide increased in wild type strain following all the treatments suggesting their toxicities due to oxidative response. Notwithstanding, there were apparently different anti-oxidative measures pertaining to the herbicide and salinity stress. Glutathione contents and activities of superoxide dismutase, catalase-peroxidase, glutathione S-transferase and glutathione reductase decreased under NaCl, whereas bromoxynil affected only glutathione S-transferase reductase. Moreover, in-gel assays revealed that bromoxynil promoted appearance of isozymes of catalase-peroxidase, while NaCl induced such response only for superoxide dismutase. On the other hand, in Mu2, glutathione peroxidase-reductase and glutathione showed upward trend after bromoxynil exposure, whereas NaCl raised peroxidase and superoxide dismutase. Proteome comparison revealed peroxiredoxin Q to be highly expressed in wild type strain under bromoxynil, whereas NaCl favoured flavodoxin over-expression. Their amounts were already high in Mu2. We suggest that Mu2 acclimatized to bromoxynil in a manner similar to bentazone by upgrading peroxiredoxin Q and glutathione peroxidase-reductase. Conversely, for NaCl it devised another mechanism involving peroxidase and superoxide dismutase, and flavodoxin.

Effectiveness of "palliative care information booklet" in enhancing nurses' knowledge.

CONTEXT: Patients diagnosed with a disease like cancer require not only physical control of disease but also they need psychological reassurance, social and spiritual support in coming to terms with their disease. Nurses working in the specialized cancer hospitals play a significant role in the care of terminally ill patients. They must be knowledgeable, skilled and sensitive to the needs of these patients and their families in order to provide active, holistic care. AIMS: In this study, we attempted to assess the level of knowledge about palliative care among nurses working in the oncology department using a self administered structured questionnaire and also to assess the effectiveness of information booklet designed on various aspects of palliative care on their knowledge. SETTINGS AND DESIGN: Indo American Cancer Hospital, Hyderabad, AP, India. The design adopted for this study was One Group pretest - posttest, pre - experimental design. MATERIALS AND METHODS: Hundred nurses working in Indo American Cancer Hospital, Hyderabad, AP, India were selected by using the non probability purposive sampling technique. A structured self administered questionnaire was prepared and administered as a pretest. An information booklet was developed pertaining to the general concepts of palliative care, care components (physical, social, emotional and spiritual) and role of the nurse in palliative care and it was given to the participants. As a post test, the same questionnaire was re-administered after four days to the same study subjects. Pretest and post test knowledge scores were compared and the findings were analyzed statistically. STATISTICAL ANALYSIS USED: Microsoft Excel and Statistical Package for Social Science package. RESULTS: The post test scores were significantly higher than the pretest knowledge scores, which indicate that the developed information booklet regarding palliative care was highly effective in enhancing the knowledge levels of the nurses. CONCLUSIONS: The information booklet was effective in enriching the knowledge of nurses on palliative care. Enhancing the nurse's knowledge about palliative care will promote their understanding of the needs of the advanced stage patients and will enable them to provide quality care.