scholarly journals Compositional Evaluation of Vermicompost Prepared from Different Types of Organic Wastes using Eisenia fetida and Studying its Effect on Crop Growth

2021 ◽  
Author(s):  
Rachna Kapila ◽  
Geeta Verma ◽  
Aparajita Sen ◽  
Arti Nigam
Keyword(s):  
Wheat Straw ◽  
Eisenia Fetida ◽  
Organic Waste ◽  
Nitrogen Concentration ◽  
Compositional Analysis ◽  
Nutrient Content ◽  
Organic Wastes ◽  
Neem Leaves ◽  
Different Types ◽  
Different Sources

Background: Vermicomposting or the conversion of organic wastes into fertile manure by earthworms has long been used in agriculture to increase production of crops. Chemical composition of vermicompost determines the quality and its use in increasing crop yield. It is important to carry out compositional analysis of the vermicompost samples if different substrates are used for their preparation.Methods: In this study, we prepared vermicompost using earthworm Eisenia fetida (old name Eisenia foetida) and different organic wastes, namely wheat straw, bagasse, grass, neem leaves etc. The nutrient content (C, H, N, S, P, K and Humic Acid) was determined for each sample and the effect on plant growth was also observed.Result: It was observed that despite the source of vermicompost, nutrient content was always higher in vermicompost than control organic waste. It was also seen that among the different sources, neem leaves and wheat straw gave rise to the most nutritious compost. The effect on plants was also seen to be much better with these vermicompost samples compared to control without added vermicompost. It was observed that the C/N ratio of the organic wastes significantly decreased during vermicompost, which indicates the increase in Nitrogen concentration easily available to plants. Not only were we able to obtain better growth of plants, we were also able to transform some agricultural wastes into useful products, which otherwise would have been dumped into a landfill or burnt, both of which would have been a waste.

scholarly journals Sustainable Management of Organic Wastes in Sharjah, UAE through Co-Composting

2020 ◽  
Vol 3 (4) ◽  
pp. 76
Author(s):  
Md Maruf Mortula ◽  
Aqeel Ahmed ◽  
Kazi Parvez Fattah ◽  
Ghina Zannerni ◽  
Syed A. Shah ◽  
...  
Keyword(s):  
United Arab Emirates ◽  
Sustainable Management ◽  
Organic Waste ◽  
C:N Ratio ◽  
Nutrient Content ◽  
Organic Wastes ◽  
Long Run ◽  
Green Areas ◽  
High Nutrient ◽  
Minimal Treatment

Daily human activities and vast green areas produce substantial amounts of organic wastes that end up in landfills with minimal treatment. In addition to the problems associated with landfills, disposal through this method is unsustainable in the long run and does not allow recovering materials from the waste. This paper focuses on the co-composting of different organic wastes produced in The Emirate of Sharjah, United Arab Emirates (UAE), to optimize mixing proportions of three different kinds of wastes—sewage sludge (SS), green waste (GW), and food waste (FW). All three organic wastes were analyzed to determine their chemical composition and the mixing proportions. Ten different mixing proportions as a function of carbon:nitrogen (C:N ratios) were determined and mixed in a NatureMill composter. Compost samples were tested for pH, salinity, conductivity, moisture content, organic matter, organic carbon, phosphorus, total nitrogen, and final C:N ratio after 6 weeks. Results indicate that a period of 5–6 weeks is sufficient for the compost to stabilize. The varying mixing proportions produced a good-quality compost (C:N up to 20:1) with high nutrient content. The study reaffirms that co-composting can be a potential sustainable organic waste management option for the United Arab Emirates.

scholarly journals Vermicompost as Substrate Amendment for Tomato Transplant Production

2012 ◽  
Vol 1 (2) ◽  
pp. 115 ◽  
Author(s):  
Ivanka Tringovska ◽  
Tsvetanka Dintcheva
Keyword(s):  
Fold Increase ◽  
Nutrient Content ◽  
Biological Properties ◽  
Organic Wastes ◽  
Shoot Biomass ◽  
High Electrical Conductivity ◽  
Substrate Amendment ◽  
Growth And Nutrition ◽  
Different Sources ◽  
Very High

<p>Vermicompost may be a promising substitute for peat especially in transplant production. Vermicomposting is a sustainable solution for management of organic wastes. However, due to variability of organic wastes, vermicomposts might have varying nutrient content levels. The study compared vermicomposts from different sources on growth and nutrition of tomato (<em>Solanum lycopersicum</em> L.) transplants. Chemical composition of vermicomposts differed. Common characteristics were high pH and very high electrical conductivity. All vermicomposts stimulated growth of tomato transplants, with up to a 2.2-fold increase occurring in shoot biomass. Differences in growth were attributed mainly to differences in nutrient content of the potting mixtures, but some changes in physical and biological properties of the substrate could also be responsible.</p>

scholarly journals Biowaste recycling technologies in Latvia

2019 ◽  
pp. 105-112
Author(s):  
Kristina Mezapuke ◽  
Rute Bendere ◽  
Dz. Zarina ◽  
L. Dubova
Keyword(s):  
Sewage Sludge ◽  
Contaminated Soils ◽  
Organic Waste ◽  
Management Plan ◽  
Organic Wastes ◽  
Polluted Water ◽  
Biodegradable Waste ◽  
Problem Generation ◽  
Different Types ◽  
Environmentally Sound

Protection of environment is a worldwide problem. Generation of organic waste is increasingand strategies for its environmentally sound use must be developed and optimised.Accumulation of great quantities of organic wastes leads to the serious environmentalproblems: polluted water, contaminated soils, polluted air and solid wastes. Waste watertreatment plants produce in large quantities sewage sludge. Among the different types ofmunicipal organic wastes sewage sludge is the main product.Waste Management plan for Latvia sets that disposed biodegradable waste amount till 2010must not exceed 75 % from the biodegradable waste amount disposed in 1995. Proposal forthe Strategy on biodegradable waste management were elaborated by Waste ManagementAssociation of Latvia (WMAL), and in collaboration with Institute of Microbiology andBiotechnology, University of Latvia an approbation of organic municipal waste compostingtechnologies is performed in the frames of LIFE - ENVIRONMENT program project in Rigadistrict.

scholarly journals How to measure uncertainty in uncertainty sampling for active learning

2021 ◽  
Author(s):  
Vu-Linh Nguyen ◽  
Mohammad Hossein Shaker ◽  
Eyke Hüllermeier
Keyword(s):  
Machine Learning ◽  
Active Learning ◽  
Sampling Strategies ◽  
Total Uncertainty ◽  
Uncertainty Sampling ◽  
Different Types ◽  
Alternative Approaches ◽  
Active Learner ◽  
Probabilistic Nature ◽  
Different Sources

AbstractVarious strategies for active learning have been proposed in the machine learning literature. In uncertainty sampling, which is among the most popular approaches, the active learner sequentially queries the label of those instances for which its current prediction is maximally uncertain. The predictions as well as the measures used to quantify the degree of uncertainty, such as entropy, are traditionally of a probabilistic nature. Yet, alternative approaches to capturing uncertainty in machine learning, alongside with corresponding uncertainty measures, have been proposed in recent years. In particular, some of these measures seek to distinguish different sources and to separate different types of uncertainty, such as the reducible (epistemic) and the irreducible (aleatoric) part of the total uncertainty in a prediction. The goal of this paper is to elaborate on the usefulness of such measures for uncertainty sampling, and to compare their performance in active learning. To this end, we instantiate uncertainty sampling with different measures, analyze the properties of the sampling strategies thus obtained, and compare them in an experimental study.

scholarly journals Model-Based Probabilistic Inversion Using Magnetic Data: A Case Study on the Kevitsa Deposit

Geosciences ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 150
Author(s):  
Nilgün Güdük ◽  
Miguel de la Varga ◽  
Janne Kaukolinna ◽  
Florian Wellmann
Keyword(s):  
Structural Parameters ◽  
Rock Properties ◽  
Magnetic Data ◽  
Geological Model ◽  
Borehole Data ◽  
Likelihood Functions ◽  
Different Types ◽  
Geophysical Information ◽  
Different Sources

Structural geological models are widely used to represent relevant geological interfaces and property distributions in the subsurface. Considering the inherent uncertainty of these models, the non-uniqueness of geophysical inverse problems, and the growing availability of data, there is a need for methods that integrate different types of data consistently and consider the uncertainties quantitatively. Probabilistic inference provides a suitable tool for this purpose. Using a Bayesian framework, geological modeling can be considered as an integral part of the inversion and thereby naturally constrain geophysical inversion procedures. This integration prevents geologically unrealistic results and provides the opportunity to include geological and geophysical information in the inversion. This information can be from different sources and is added to the framework through likelihood functions. We applied this methodology to the structurally complex Kevitsa deposit in Finland. We started with an interpretation-based 3D geological model and defined the uncertainties in our geological model through probability density functions. Airborne magnetic data and geological interpretations of borehole data were used to define geophysical and geological likelihoods, respectively. The geophysical data were linked to the uncertain structural parameters through the rock properties. The result of the inverse problem was an ensemble of realized models. These structural models and their uncertainties are visualized using information entropy, which allows for quantitative analysis. Our results show that with our methodology, we can use well-defined likelihood functions to add meaningful information to our initial model without requiring a computationally-heavy full grid inversion, discrepancies between model and data are spotted more easily, and the complementary strength of different types of data can be integrated into one framework.

The Behavioral Consequences of Conflict Exposure on Risk Preferences

2021 ◽  
Author(s):  
Enrique Fatas ◽  
Nathaly Jiménez ◽  
Lina Restrepo-Plaza ◽  
Gustavo Rincón
Keyword(s):  
Substantial Effect ◽  
Risk Attitudes ◽  
Behavioral Consequences ◽  
Criminal Violence ◽  
Incentive Compatible ◽  
Attitudinal Factors ◽  
Different Types ◽  
Close Relatives ◽  
Different Sources ◽  
Consequences Of Violence

Violent conflict is a polyhedric phenomenon. Beyond the destruction of physical and human capital and the economic, political, and social costs war generates, there is an additional burden carried by victims: persistent changes in the way they make decisions. Exposure to violence generates changes in how individuals perceive other individuals from their group and other groups, how they discount the future, and how they assess and tolerate risk. The behavioral consequences of violence exposure can be documented using experiments in which participants make decisions in a controlled, incentive-compatible scenario. The external validity of experiments is reinforced when the studies are run in postconflict scenarios, for example, in Colombia, with real victims of conflict. The experimental tasks, therefore, may map risk attitudes among victims and nonvictims of the conflict who share a common background, and distinguish between different types of exposure (direct versus indirect) and different sources of violence (conflict-related versus criminal violence). The experimental evidence collected in Colombia is consistent with a long-lasting and substantial effect of conflict exposure on risk attitudes. Victims are more likely to take risks and less likely to make safe choices than nonvictims, controlling for demographic, socioeconomic, and attitudinal factors. The effect is significant only when the source of violence is conflict (exerted by guerrilla or paramilitary militias) and when violence is experienced directly by individuals. Indirect conflict exposure (suffered by close relatives) and criminal violence leave no significant mark on participants’ risk attitudes in the study.

A Review on Green Synthesis and Applications of Iron Oxide Nanoparticles

2021 ◽  
Vol 21 (12) ◽  
pp. 5812-5834
Author(s):  
Rachana Yadwade ◽  
Saili Kirtiwar ◽  
Balaprasad Ankamwar
Keyword(s):  
Iron Oxide ◽  
Iron Oxide Nanoparticles ◽  
Aqueous System ◽  
Oxide Nanoparticles ◽  
Plant Parts ◽  
Different Types ◽  
Removal Of Heavy Metals ◽  
Biological Sources ◽  
Different Sources

Bio-fabrication of iron oxide nanoparticles by using different sources of plants, plant parts and microbial cells have become a great topic of interest nowadays due to its eco-friendly nature. The stabilizing and capping agents in biological sources are biocompatible, stable and non-toxic which make its use beneficial for various biomedical applications. The bacteria are able to utilize metal ions and convert them into their respective nanoparticles by secreting different biomolecules. The plants and plant parts contain different types of phytochemicals which play a key role in synthesis and bio-fabrication of nanoparticles. Iron oxide nanoparticles are known to have various applications in the fields of medicine, environment etc. This review summarizes the applications of iron oxide nanoparticles as antimicrobial agent, drug delivery agent, material for removal of heavy metals and dyes from aqueous system etc. Due to these wide applications of iron oxide nanoparticles its demand in various fields is increasing considerably. This review describes different approaches which are used for biosynthesis of iron oxide nanoparticles and their applications. The review also summarizes about the surface modification strategies of iron oxide nanoparticles by using different polymers, polyelectrolytes which can be used for in-vivo applications.

Loss of Life and Loss of Bodily Integrity: Two Different Sources of Threat for People who are Ill

1985 ◽  
Vol 15 (3) ◽  
pp. 207-222 ◽  
Author(s):  
Linda L. Viney
Keyword(s):  
Healthy People ◽  
Personal Construct ◽  
Personal Construct Theory ◽  
Bodily Integrity ◽  
Loss Of Life ◽  
Psychological States ◽  
Different Types ◽  
Construct Theory ◽  
Positive Feelings ◽  
Different Sources

Personal construct theory was used to generate some questions about the meanings that different types of threat–loss of life and loss of bodily integrity–hold for people who are severely ill. Content analyses of the responses of ill people and healthy people indicated that ill people expressed more concern with both types of threat than healthy people. Ill people who were suffering from acute rather than chronic illness, who were scheduled for surgery and who were hospitalized rather than being cared for at home expressed more concern about loss of life but not about loss of bodily integrity than other ill people. Each type of threatened loss was found to be associated with a different set of psychological states for people who were ill. Threat of loss of life was associated with indirectly expressed anger and uncertainty but also with the expression of many positive feelings. Threat of loss of bodily integrity was also associated with indirectly expressed anger, but with direct expression of it too, together with hopelessness and helplessness. Patients facing the first threat saw themselves as actively engaged in relationships with others, while those facing the second viewed themselves more often as passive participants. The value of this information about the meanings of threats of loss of life and loss of bodily integrity for the counseling of ill people dealing with these threats was illustrated by two case studies.

scholarly journals Trametes suaveolens as ligninolytic enzyme producer

2013 ◽  
pp. 437-444 ◽  
Author(s):  
Aleksandar Knezevic ◽  
Ivan Milovanovic ◽  
Mirjana Stajic ◽  
Jelena Vukojevic
Keyword(s):  
Enzyme Activity ◽  
Solid State ◽  
Wheat Straw ◽  
Solid State Fermentation ◽  
Nitrogen Concentration ◽  
Pollution Prevention ◽  
Ligninolytic Enzyme ◽  
Species Selection ◽  
Submerged Cultivation ◽  
Phenol Red

Species of the genus Trametes represent one of the most efficient lignin-degraders which can be attributed to a well developed ligninolytic enzyme system. Current trends are screening of ability of new species to produce these enzymes, as well as the optimization of conditions for their overproduction. Therefore, the aim of the study was to evaluate the potential of T. suaveolens to synthesize laccase and Mn-oxidizing peroxidases during fermentation of the selected plant raw materials. Level of enzyme activities was measured on 7, 10 and 14th day of submersion, as well as the solid-state fermentation of wheat straw and oak sawdust in the presence of NH4NO3 in previously determined optimal nitrogen concentration of 25 mM. The enzyme activity was determined spectrophotometrically using ABTS and phenol red as the substrates. The highest level of laccase activity (1087.1 U/L) was noted after 7 days of wheat straw solid-state fermentation, while during the submerged cultivation the production of the enzyme was not noted. Submerged cultivation in oak sawdust-enriched medium was the optimal for activity of Mn-dependent peroxidase (1767.7 U/L on day 14) and Mn-independent peroxidase (1113.7 U/L on day 7). Introduction of T. suaveolens to produce ligninolytic enzyme represented the base for further study, as well as the determination of relation between enzyme activity and rate of lignin degradation. It could lead to greater possibility of fungal species selection with high delignification capacity, which could take participation in sustainable production of food, feed, fibres, and energy, environmentally friendly pollution prevention, and bioremediation.

scholarly journals TERRESTRIAL LASER SCANNERS SELF-CALIBRATION STUDY: DATUM CONSTRAINTS ANALYSES FOR NETWORK CONFIGURATIONS

2015 ◽  
Vol XL-2/W4 ◽  
pp. 1-9 ◽  
Author(s):  
M. A. Abbas ◽  
H. Setan ◽  
Z. Majid ◽  
A. K. Chong ◽  
L. Chong Luh ◽  
...  
Keyword(s):  
Laser Scanner ◽  
Network Configuration ◽  
Calibration Technique ◽  
Self Calibration ◽  
Laser Scanners ◽  
Different Types ◽  
Minimum Number ◽  
Calibration Study ◽  
Different Sources ◽  
Selection Of

Similar to other electronic instruments, terrestrial laser scanner (TLS) can also inherent with various systematic errors coming from different sources. Self-calibration technique is a method available to investigate these errors for TLS which were adopted from photogrammetry technique. According to the photogrammetry principle, the selection of datum constraints can cause different types of parameter correlations. However, the network configuration applied by TLS and photogrammetry calibrations are quite different, thus, this study has investigated the significant of photogrammetry datum constraints principle in TLS self-calibration. To ensure that the assessment is thorough, the datum constraints analyses were carried out using three variant network configurations: 1) minimum number of scan stations; 2) minimum number of surfaces for targets distribution; and 3) minimum number of point targets. Based on graphical and statistical, the analyses of datum constraints selection indicated that the parameter correlations obtained are significantly similar. In addition, the analysis has demonstrated that network configuration is a very crucial factor to reduce the correlation between the calculated parameters.

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