There are many studies on the treatment of heavy metals by manganese-oxidizing bacteria and the reaction is good; the problem of compound pollution of heavy metals in soil has been difficult to solve. In this study, the application of manganese-oxidizing bacteria in soil was studied. The tolerance of manganese-oxidizing strains (Pseudomonas taiwanensis) to environmental conditions and the treatment effect of heavy metals As, Pb, and Cd in aqueous solution were investigated, and the effect of iron-manganese ratio on the treatment effect was discussed. The results showed that the suitable pH conditions for the growth of P. taiwanensis were 5-9, and the salt tolerance was 6% (by sodium chloride). The tolerant concentrations for heavy metals As(V) and Mn(II) were 500 mg L-1 and 120 mg L-1, respectively. The strains were enriched by nutrient broth medium. After the logarithmic phase, the bacterial suspension was mixed with ATCC#279 medium at a ratio of 110, and a certain amount (10 mg L-1) of Mn(II) was added. The results of As, Pb, and Cd removal in the composite polluted water phase were 22.09%, 30.75%, and 35.33%, respectively. The molar ratio of manganese and iron affected the removal efficiency of single arsenic, the highest efficiency is 68%, and the ratio of iron to manganese is 15. However, when the soil was treated by the same method, the results showed that not all metals were passivated, such as Cu. At the same time, for As, Pb, and Cd, the treatment effects in soil were worse than those in water, perhaps more consideration should be given to environmental conditions, such as soil moisture and temperature, when manganese-oxidizing bacteria are used to treat soil.This study investigates the multifaceted role of green innovation among green intellectual capitals (GICs) on business sustainability in Pakistan’s manufacturing sector. A quantitative method based on the SEM model on SmartPLS and Stata analysis was used, which was supplemented by a survey of 800 Pakistani SME sector supply chain-associated participants. The findings revealed a significant effect of green intellectual capital and green innovation on business sustainability, while structural capital was found to have a significant moderating effect on the business sustainability of Pakistani firms. It has been determined that the relationship between GIC and BS has a strong moderation of green innovation. Furthermore, the relationship and impact of GICs on the business sustainability of Pakistani manufacturing companies were statistically significant, and green innovation played a moderating role between GIC and business sustainability. Therefore, it has been suggested that Pakistani manufacturing companies participate in eco-innovation to progress business sustainability.Thiocyanate (SCN-) is a nitrogen-containing pollutant, which can be involved in the nitrogen (N) cycle and interferes with plant growth. The current study highlights a new insight into the N (nitrate [NO3-] and ammonium [NH4+]) utilization ways in rice seedlings under SCN- exposure to clarify the interactive effect on uptake and assimilation between these N-containing chemicals. Phenotypically, relative growth rates (RGR) of NO3–fed seedlings were significantly higher than NH4+-fed rice seedlings at the same SCN- concentration. Both N fertilizations have no significant influence on SCN- content and its assimilation in rice seedlings. However, significant accumulation of NO3- and NH4+ were detected in shoots prior to roots under SCN- stress. Enzymatic assay and mRNA analysis showed that the carbonyl sulfide (COS) pathway of SCN- degradation occurred in both roots and shoots of NO3–fed seedlings but only evident in roots of NH4+-fed seedlings. Moreover, the effect of SCN- on the activity of nitrate reductase (NR), glutamine synthetase (GS), and glutamate synthase (GOGAT) was negligible in NO3–fed seedlings, while GOGAT activity was significantly inhibited in shoots of NH4+-fed seedlings. Nitrogen use efficiency (NUE) estimation provided positive evidence in utilizing NO3- over NH4+ as the main N source to support rice seedling growth during detoxification of exogenous SCN-. Overall, SCN- pollution has unexpectedly changed the rice preference for N source which shifted from NH4+ to NO3-, suggesting that the interactions of SCN- with different N sources in terms of uptake and assimilation in rice plants should not be overlooked, especially at the plant N nutritional level.Eutrophication, climate change, and river flow fragmentation are the main cause of nuisance algal blooms worldwide. This study evaluated the conditions that trigger the growth and occurrence of nuisance phytoplankton in the Santa Lucía River, a subtropical floodplain lotic system that supplies drinking water to 60% of the population of Uruguay. The main variables that explained phytoplankton biovolume were extracted from generalized linear models (GLM). The potential impact of nuisance organism advection on water utility was estimated by the phytoplankton biovolume transport (BVTR, m3 day-1), an indicator of biomass load. Santa Lucía River had a wide flow range (0.7×105-1438×105 m3 day-1) and eutrophic conditions (median, TP 0.139 mg L-1; TN 0.589 mg L-1). GLMs indicated that phytoplankton biomass increased with temperature and soluble reactive phosphorus. Contrary to expectations, the presence of cyanobacteria was positively associated with periods of high flow that result in high cyanobacterial biovolume transport, with a probability of 3.35 times higher when flow increased by one standard deviation. The cyanobacterial biovolume transported (max 9.5 m3 day-1) suggests that biomass was subsidized by allochthonous inocula. Biovolume from other nuisance groups (diatoms, cryptophytes, and euglenophytes) was positively associated with low-flow conditions and high nutrient concentrations in the main river channel, thereby indicating that these conditions boost eukaryote blooms. The evaluation of BVTR allows a better understanding of the dynamics of fluvial phytoplankton and can help to anticipate scenarios of nuisance species transport.The world faces a high alert of coronavirus disease 2019 (COVID-19), leading to a million deaths and could become infected to reach a billion numbers. A sizeable amount of scholarly work has been available on different aspects of social-economic and environmental factors. At the same time, many of these studies found the linear (direct) causation between the stated factors. In many cases, the direct relationship is not apparent. The world is unsure about the possible determining factors of the COVID-19 pandemic, which need to be known through conducting nonlinearity (indirect) relationships, which caused the pandemic crisis. The study examined the nonlinear relationship between COVID-19 cases and carbon damages, managing financial development, renewable energy consumption, and innovative capability in a cross section of 65 countries. The results show that inbound foreign direct investment first increases and later decreases because of the increasing coronavirus cases. Further, the rise and fall in the research and development expenditures and population density exhibits increasing coronavirus cases across countries. The continued economic growth initial decreases later increase by adopting standardized operating procedures to contain coronavirus disease. The inter-temporal relationship shows that green energy source and carbon damages would likely influence the coronavirus cases with a variance of 17.127% and 5.440%, respectively, over a time horizon. The policymakers should be carefully designing sustainable healthcare policies, as the cost of carbon emissions leads to severe healthcare issues, which are likely to get exposed to contagious diseases, including COVID-19. The sustainable policy instruments, including renewable fuels in industrial production, advancement in cleaner production technologies, the imposition of carbon taxes on dirty production, and environmental certifications, are a few possible remedies that achieve healthcare sustainability agenda globally.Natural gas is a vital energy resource that is used to produce the national output of Pakistan. On the other hand, since natural gas is a relatively cleaner energy resource compared to oil and coal, enhancing the level of natural gas consumption can be expected to promote economic growth while somewhat improving environmental quality in the process. Hence, it is pertinent to assess the economic growth effects associated with the consumption of such comparatively cleaner energy resources. Against this background, the main objective of this paper is to explore the asymmetric effects of natural gas consumption, controlling for financial development, on Pakistan’s economic growth figure over the 1965-2019 period. The results from the Augmented Dickey-Fuller, Phillips-Perron, and Zivot-Andrews unit root tests confirm a mixed order of integration among the variables. Besides, the bounds test and the Gregory-Hansen co-integration analysis reveal evidence of long-run associations between economic growth, natural gas consumption, and financial development in the context of Pakistan. Moreover, the outcomes from the nonlinear autoregressive distributed lag model analysis show that in the short-run, positive changes in the natural gas consumption levels increase Pakistan’s economic growth. On the other hand, in the long-run, positive and negative changes in natural gas consumption levels increase and decrease the nation’s economic growth level, respectively. On the other hand, both positive and negative changes in the financial development level are found to reduce Pakistan’s economic growth level in the long run only. Furthermore, the Hacker-Hatemi-J causality analysis verifies that natural gas consumption causally influences the economic growth level in Pakistan; thus, verifying the energy consumption-led growth phenomenon. In line with these key findings, several policy level suggestions are put forward for Pakistan to enhance its natural gas consumption level in order to boost its economic growth rate in the future.The application of low-carbon alcohols (LCA fuels) in internal combustion engines has become one of the most important topics in road transport decarbonization. This paper aims to identify the trends and characteristics of LCA combustion research for the period 2000-2021 through bibliometric analysis. Citation analysis is used to evaluate the influence of most productive journals, countries/regions, authors, institutions, and relevant literature, while collaborative network between various authors, countries/regions, institutions, and the co-occurrences among different keywords are discussed. A dataset of 2250 publications was extracted from the Web of Science Core database and analyzed with CiteSpace and Biblioshiny. The extracted documents involve 429 journals of publications by 4782 authors from 1434 institutions across 83 countries/regions. The results reveal that the research output in this field has undergone three main stages of development, i.e., initial development (2000-2007), slow development (2008-2015), and rapid development (2016-2021). Currently, the research field is growing at an annual growth rate of 9.24%, with most of the contributions by authors and institutions originating from China. The analysis from relevant keywords and literature suggests that the core of this research field centers on the combustion, performance, and emission characteristics of LCA-fueled engines. The current study helps keep the scientific community informed of the latest paradigms in the LCA combustion research field.