Restoration of soil quality using biochar and brown coal waste: A review

Soils in intensively farmed areas of the world are prone to degradation. Amendment of such soils with organic waste materials attempts to restore soil quality. Organic amendments are heterogeneous media, which are a source of soil organic matter (SOM) and maintain or restore chemical, physical, biological and ecological functionality. More specifically, an increase in SOM can influence the soil microclimate, microbial community structure, biomass turnover and mineralisation of nutrients. The search is on-going for locally sourced alternatives as many forms may be costly or geographically limiting. The present review focuses on a heterogeneous group of amendments i.e. biochar and brown coal waste (BCW). Both biochar (made from a variety of feedstocks at various temperatures) and BCW (mined extensively) are options that have worldwide applicability. These materials have very high C contents and soil stability, therefore can be used for long-term C sequestration to abate greenhouse gas emissions and as conditioners to improve soil quality. However, biochar is costly for large-scale applications and BCW may have inherently high moisture and pollutant contents. Future studies should focus on the long-term application of these amendments and determine the physicochemical properties of the soil, bioavailability of soil contaminants, diversity of soil communities and productivity of selected crops. Furthermore, the development of in situ technologies to lower production and processing costs of biochar and BCW would improve their economic feasibility for large-scale application

Towards a unified theory of health-disease: II. Holopathogenesis

Este trabalho apresenta uma abordagem sistemática para a modelagem de várias classes de enfermidade-moléstia-doença, designada como Holopatogênese. Holopatogênese é definido como um processo de sobre determinação de doenças e condições relacionadas, tomadas como um integral, compreendendo facetas selecionadas da saúde enquanto objeto complexo. Em primeiro lugar, o marco conceitual da Holopatogênese é apresentado como uma série de três interfaces significativas: biomolecular- imunológica, fisiopatológico-clínica e epidemiológico-ecossocial. Em segundo lugar, proposições derivadas da Holopatogênese são introduzidas a fim de permitir o desenho do complexo doença-enfermidade como uma rede hierárquica de redes. Em terceiro lugar, propõe-se uma formalização de correspondências intra e inter nível, processos de sobredeterminação, efeitos e laços componentes da Holopatogênese. Finalmente, o modelo Holopatogênese é avaliado como uma patologia teórica compreensiva tomada como passo preliminar para uma teoria unificada de saúde-doença

Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Background: Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 risk factors in 204 countries and territories and 811 subnational locations, from 1990 to 2021. Methods: The GBD 2021 risk factor analysis used data from 54 561 total distinct sources to produce epidemiological estimates for 88 risk factors and their associated health outcomes for a total of 631 risk–outcome pairs. Pairs were included on the basis of data-driven determination of a risk–outcome association. Age-sex-location-year-specific estimates were generated at global, regional, and national levels. Our approach followed the comparative risk assessment framework predicated on a causal web of hierarchically organised, potentially combinative, modifiable risks. Relative risks (RRs) of a given outcome occurring as a function of risk factor exposure were estimated separately for each risk–outcome pair, and summary exposure values (SEVs), representing risk-weighted exposure prevalence, and theoretical minimum risk exposure levels (TMRELs) were estimated for each risk factor. These estimates were used to calculate the population attributable fraction (PAF; ie, the proportional change in health risk that would occur if exposure to a risk factor were reduced to the TMREL). The product of PAFs and disease burden associated with a given outcome, measured in disability-adjusted life-years (DALYs), yielded measures of attributable burden (ie, the proportion of total disease burden attributable to a particular risk factor or combination of risk factors). Adjustments for mediation were applied to account for relationships involving risk factors that act indirectly on outcomes via intermediate risks. Attributable burden estimates were stratified by Socio-demographic Index (SDI) quintile and presented as counts, age-standardised rates, and rankings. To complement estimates of RR and attributable burden, newly developed burden of proof risk function (BPRF) methods were applied to yield supplementary, conservative interpretations of risk–outcome associations based on the consistency of underlying evidence, accounting for unexplained heterogeneity between input data from different studies. Estimates reported represent the mean value across 500 draws from the estimate's distribution, with 95% uncertainty intervals (UIs) calculated as the 2·5th and 97·5th percentile values across the draws. Findings: Among the specific risk factors analysed for this study, particulate matter air pollution was the leading contributor to the global disease burden in 2021, contributing 8·0% (95% UI 6·7–9·4) of total DALYs, followed by high systolic blood pressure (SBP; 7·8% [6·4–9·2]), smoking (5·7% [4·7–6·8]), low birthweight and short gestation (5·6% [4·8–6·3]), and high fasting plasma glucose (FPG; 5·4% [4·8–6·0]). For younger demographics (ie, those aged 0–4 years and 5–14 years), risks such as low birthweight and short gestation and unsafe water, sanitation, and handwashing (WaSH) were among the leading risk factors, while for older age groups, metabolic risks such as high SBP, high body-mass index (BMI), high FPG, and high LDL cholesterol had a greater impact. From 2000 to 2021, there was an observable shift in global health challenges, marked by a decline in the number of all-age DALYs broadly attributable to behavioural risks (decrease of 20·7% [13·9–27·7]) and environmental and occupational risks (decrease of 22·0% [15·5–28·8]), coupled with a 49·4% (42·3–56·9) increase in DALYs attributable to metabolic risks, all reflecting ageing populations and changing lifestyles on a global scale. Age-standardised global DALY rates attributable to high BMI and high FPG rose considerably (15·7% [9·9–21·7] for high BMI and 7·9% [3·3–12·9] for high FPG) over this period, with exposure to these risks increasing annually at rates of 1·8% (1·6–1·9) for high BMI and 1·3% (1·1–1·5) for high FPG. By contrast, the global risk-attributable burden and exposure to many other risk factors declined, notably for risks such as child growth failure and unsafe water source, with age-standardised attributable DALYs decreasing by 71·5% (64·4–78·8) for child growth failure and 66·3% (60·2–72·0) for unsafe water source. We separated risk factors into three groups according to trajectory over time: those with a decreasing attributable burden, due largely to declining risk exposure (eg, diet high in trans-fat and household air pollution) but also to proportionally smaller child and youth populations (eg, child and maternal malnutrition); those for which the burden increased moderately in spite of declining risk exposure, due largely to population ageing (eg, smoking); and those for which the burden increased considerably due to both increasing risk exposure and population ageing (eg, ambient particulate matter air pollution, high BMI, high FPG, and high SBP). Interpretation: Substantial progress has been made in reducing the global disease burden attributable to a range of risk factors, particularly those related to maternal and child health, WaSH, and household air pollution. Maintaining efforts to minimise the impact of these risk factors, especially in low SDI locations, is necessary to sustain progress. Successes in moderating the smoking-related burden by reducing risk exposure highlight the need to advance policies that reduce exposure to other leading risk factors such as ambient particulate matter air pollution and high SBP. Troubling increases in high FPG, high BMI, and other risk factors related to obesity and metabolic syndrome indicate an urgent need to identify and implement interventions

Modelling human choices: MADeM and decision‑making

Research supported by FAPESP 2015/50122-0 and DFG-GRTK 1740/2. RP and AR are also part of the Research, Innovation and Dissemination Center for Neuromathematics FAPESP grant (2013/07699-0). RP is supported by a FAPESP scholarship (2013/25667-8). ACR is partially supported by a CNPq fellowship (grant 306251/2014-0)

Movement of nitrogen, phosphorus and potassium fertilizers in undisturbed soil columns as affected by soil compaction.

The objective of this study was to investigate the movement of the added fertilizers to soil as affected by soil compaction. In the experimented soil, three compaction levels were used. The soil was also irrigated for four times and after the each irrigation, Phosphorus (P) and Potassium (K) in the drainage water (effluent) was measured using standard methods. After the fourth irrigation, each soil column was divided to five equal parts and the elements in the columns were measured and finally the data were analyzed using the statistical software. The results showed that as the compaction is increased, the movement of nitrogen (N) and K downward is reduced, but the movement of P is increased. The reason for the movement of N in low compaction is the existence of macropores for preferential flow and suitable conditions for nitrification. The movement of the most of K in low compaction is due to movement through macropores and preferential flow. The increase in P movement in high compaction is caused by high moisture and movement by diffusion

Effects of long-term municipal waste compost application on the concentrations of macro elements and yield of rice

An experiment was conducted as randomized complete block design with three replications and 14 fertilizer treatments in year 2014. The treatments were including the control, application of chemical fertilizers according the soil analysis, application of 15, 30 and 45 tons of municipal  waste compost per ha as simple and with 25, 50 and 75% of chemical fertilizers. The results revealed that the 7 years using of municipal waste compost significantly increased the concentrations of nitrogen, phosphorus and potassium of the soils and rice grains and it improved the yield of rice as well. The highest concentrations of macro-nutrients (Nitrogen, Phosphorus and Potassium) were obtained in the treatment of 45 t/ha of municipal waste compost + 75% chemical fertilizers. The concentrations of nitrogen, phosphorus and potassium were increased 73.68, 230.0 and 30.74%, respectively, compared to the control treatment. Treatment of 45 t/ha + 25% of chemical fertilizer had the highest 1000 grains weight. The percentage of 1000 grains weight was increased 9.82 compared to the control treatment. The highest yield of pad was obtained by using of 45 tons + 25% of chemical fertilizers that compared to the control treatment showed 51.33% increase. Finally, from the results, it can be concluded that the combination of municipal waste compost and chemical fertilizers are reliable organic waste and fertilizers management strategy to increase the concentrations of macro-nutrients in rice and increase the rice yield as well

Adaptive and Sequential Gridding Procedures for the Abstraction and Verification of Stochastic Processes

This work is concerned with the generation of finite abstractions of general state-space processes to be employed in the formal verification of probabilistic properties by means of automatic techniques such as probabilistic model checkers. The work employs an abstraction procedure based on the partitioning of the state-space, which generates a Markov chain as an approximation of the original process. A novel adaptive and sequential gridding algorithm is presented and is expected to conform to the underlying dynamics of the model and thus to mitigate the curse of dimensionality unavoidably related to the partitioning procedure. The results are also extended to the general modeling framework known as stochastic hybrid systems. While the technique is applicable to a wide arena of probabilistic properties, with focus on the study of a particular specification (probabilistic safety, or invariance, over a finite horizon), the proposed adaptive algorithm is first benchmarked against a uniform gridding approach taken from the literature and finally tested on an applicative case study in Biology.Delft Center for Systems and ControlMechanical, Maritime and Materials Engineerin