Evaluation of blue-green algal inoculation on specific soil parameters

2007 ◽  
Vol 55 (3) ◽  
pp. 307-313 ◽  
Author(s):  
K. Swarnalakshmi ◽  
D. Dhar ◽  
P. Singh
Keyword(s):  
Redox Potential ◽  
Nitrogenase Activity ◽  
Microbial Populations ◽  
Nostoc Muscorum ◽  
Soil Parameters ◽  
Green Algal ◽  
Aulosira Fertilissima ◽  
The Impact ◽  
Different Levels ◽  
Tolypothrix Tenuis

The impact of nitrogen-fixing blue-green algal (BGA) strains, namely Anabaena variabilis, Aulosira fertilissima, Nostoc muscorum and Tolypothrix tenuis , was studied at different levels of nitrogen fertilizer on specific soil parameters such as microbial populations, pH, EC, redox potential, chlorophyll, dehydrogenase and nitrogenase activity under a rice crop. The inoculation of the soil with BGA strains resulted in higher microbial populations (BGA, bacteria, fungi and actinomycetes) and had a significant influence on redox potential. A significant increase in soil chlorophyll, dehydrogenase and nitrogenase activity was observed during crop growth due to BGA application.

TEACH-POT: Provide Opportunities in Teaching

2020 ◽  
pp. 79-91 ◽  
Author(s):  
Maria Giulia Ballatore ◽  
Ettore Felisatti ◽  
Laura Montanaro ◽  
Anita Tabacco
Keyword(s):  
Academic Community ◽  
Real Effect ◽  
The Real ◽  
Main Components ◽  
The Impact ◽  
Training Opportunities ◽  
Different Levels

This paper is aimed to describe and critically analyze the so-called "TEACHPOT" experience (POT: Provide Opportunities in Teaching) performed during the last few years at Politecnico di Torino. Due to career criteria, the effort and the time lecturers spend in teaching have currently undergone a significant reduction in quantity. In order to support and meet each lecturers' expectations towards an improvement in their ability to teach, a mix of training opportunities has been provided. This consists of an extremely wide variety of experiences, tools, relationships, from which everyone can feel inspired to increase the effectiveness of their teaching and the participation of their students. The provided activities are designed around three main components: methodological training, teaching technologies, methodological experiences. A discussion on the findings is included and presented basing on the data collected through a survey. The impact of the overall experience can be evaluated on two different levels: the real effect on redesigning lessons, and the discussion on the matter within the entire academic community.

scholarly journals The impact of IFRS-based accounting standards on earnings management: evidence from Malaysia

2016 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Yosra Makni Fourati ◽  
Rania Chakroun Ghorbel
Keyword(s):  
Earnings Management ◽  
Financial Reporting ◽  
Emerging Market ◽  
Accounting Standards ◽  
Absolute Value ◽  
Financial Reporting Standards ◽  
Ifrs Adoption ◽  
Earning Quality ◽  
The Impact ◽  
Different Levels

This study aims to examine the consequences of International Financial Reporting Standards (IFRS) convergence in an emerging market. More specifically, we investigate whether the adoption of the new set of accounting standards in Malaysia is associated with lower earnings management. Using a sample of 3,340 firm-year observations across three reporting periods with different levels of IFRS adoption, we provide evidence that IFRS convergence improves earning quality. In particular, we find a significant decrease in the absolute value of discretionary acccruals in the partial IFRS-convergence period (2007-2011), whereas this effect is restrictive after the complete IFRS- implementation.

scholarly journals Responses and Indicators of Composition, Diversity, and Productivity of Plant Communities at Different Levels of Disturbance in a Wetland Ecosystem

Diversity ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 252
Author(s):  
Tingting Duan ◽  
Jing Zhang ◽  
Zhengjun Wang
Keyword(s):  
Plant Community ◽  
Plant Communities ◽  
Leisure Activity ◽  
Local Environment ◽  
Diversity Indices ◽  
Soil Parameters ◽  
Grazing Tolerance ◽  
Organic Matter Concentration ◽  
Drought Tolerant ◽  
Different Levels

Grassland tourism is a very popular leisure activity in many parts of the world. However, the presence of people in these areas causes disturbance to the local environment and grassland resources. This study analyzes the composition, diversity, and productivity under different levels of disturbance of the plant communities in the Kangxi Grassland Tourist Area and the Yeyahu Wetland Nature Reserve of Beijing, China. It aims to identify indicators of plant communities and their responses to different levels of disturbance. Our analysis shows that the plant community density and coverage have a certain compensatory increase under disturbed conditions. With the increase in disturbances, more drought-tolerant species have appeared (increased by 5.7%), some of which have become the grazing-tolerance indicator species in the trampled grazed area (TGA). For plant community productivity, biomass and height are good indicators for distinguishing different disturbances (p < 0.05). In addition, several diversity indices reveal the change of plant communities from different perspectives (three of the four indices were significant at the p < 0.05 level). For soil parameters, soil water content and organic matter concentration help to indicate different disturbance levels (the former has a 64% change). Moreover, the standard deviation of the plant community and soil parameters is also a good indicator of their spatial variability and disturbance levels, especially for the TGA. Our analysis confirms that the indicators of productivity, diversity, and soil parameters can indicate the disturbance level in each subarea from different perspectives. However, under disturbed conditions, a comprehensive analysis of these indicators is needed before we can accurately understand the state of health of the plant community.

scholarly journals Gamification and Hazard Communication in Virtual Reality: A Qualitative Study

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4663
Author(s):  
Janaina Cavalcanti ◽  
Victor Valls ◽  
Manuel Contero ◽  
David Fonseca
Keyword(s):  
Virtual Reality ◽  
New Technologies ◽  
Training Environment ◽  
Hazard Communication ◽  
Head Mounted Display ◽  
Compliance Behavior ◽  
Before And After ◽  
Recorded Data ◽  
The Impact ◽  
Different Levels

An effective warning attracts attention, elicits knowledge, and enables compliance behavior. Game mechanics, which are directly linked to human desires, stand out as training, evaluation, and improvement tools. Immersive virtual reality (VR) facilitates training without risk to participants, evaluates the impact of an incorrect action/decision, and creates a smart training environment. The present study analyzes the user experience in a gamified virtual environment of risks using the HTC Vive head-mounted display. The game was developed in the Unreal game engine and consisted of a walk-through maze composed of evident dangers and different signaling variables while user action data were recorded. To demonstrate which aspects provide better interaction, experience, perception and memory, three different warning configurations (dynamic, static and smart) and two different levels of danger (low and high) were presented. To properly assess the impact of the experience, we conducted a survey about personality and knowledge before and after using the game. We proceeded with the qualitative approach by using questions in a bipolar laddering assessment that was compared with the recorded data during the game. The findings indicate that when users are engaged in VR, they tend to test the consequences of their actions rather than maintaining safety. The results also reveal that textual signal variables are not accessed when users are faced with the stress factor of time. Progress is needed in implementing new technologies for warnings and advance notifications to improve the evaluation of human behavior in virtual environments of high-risk surroundings.

scholarly journals Deep Neural Network and Polynomial Chaos Expansion-Based Surrogate Models for Sensitivity and Uncertainty Propagation: An Application to a Rockfill Dam

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1830
Author(s):  
Gullnaz Shahzadi ◽  
Azzeddine Soulaïmani
Keyword(s):  
Polynomial Chaos ◽  
Complex Structure ◽  
Uncertainty Propagation ◽  
Surrogate Models ◽  
Polynomial Chaos Expansion ◽  
Soil Parameters ◽  
Chaos Expansion ◽  
Rockfill Dam ◽  
Parametric Studies ◽  
The Impact

Computational modeling plays a significant role in the design of rockfill dams. Various constitutive soil parameters are used to design such models, which often involve high uncertainties due to the complex structure of rockfill dams comprising various zones of different soil parameters. This study performs an uncertainty analysis and a global sensitivity analysis to assess the effect of constitutive soil parameters on the behavior of a rockfill dam. A Finite Element code (Plaxis) is utilized for the structure analysis. A database of the computed displacements at inclinometers installed in the dam is generated and compared to in situ measurements. Surrogate models are significant tools for approximating the relationship between input soil parameters and displacements and thereby reducing the computational costs of parametric studies. Polynomial chaos expansion and deep neural networks are used to build surrogate models to compute the Sobol indices required to identify the impact of soil parameters on dam behavior.

scholarly journals Exploring the effectiveness of a COVID-19 contact tracing app using an agent-based model

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Jonatan Almagor ◽  
Stefano Picascia
Keyword(s):  
High Rate ◽  
Contact Tracing ◽  
Agent Based Model ◽  
Agent Based ◽  
The Social ◽  
Behavioural Factors ◽  
The Impact ◽  
Different Levels ◽  
User Rate

AbstractA contact-tracing strategy has been deemed necessary to contain the spread of COVID-19 following the relaxation of lockdown measures. Using an agent-based model, we explore one of the technology-based strategies proposed, a contact-tracing smartphone app. The model simulates the spread of COVID-19 in a population of agents on an urban scale. Agents are heterogeneous in their characteristics and are linked in a multi-layered network representing the social structure—including households, friendships, employment and schools. We explore the interplay of various adoption rates of the contact-tracing app, different levels of testing capacity, and behavioural factors to assess the impact on the epidemic. Results suggest that a contact tracing app can contribute substantially to reducing infection rates in the population when accompanied by a sufficient testing capacity or when the testing policy prioritises symptomatic cases. As user rate increases, prevalence of infection decreases. With that, when symptomatic cases are not prioritised for testing, a high rate of app users can generate an extensive increase in the demand for testing, which, if not met with adequate supply, may render the app counterproductive. This points to the crucial role of an efficient testing policy and the necessity to upscale testing capacity.

scholarly journals Religiosity as a factor protecting against problem behaviour in adolescence

2015 ◽  
Vol 21 (1-2) ◽  
pp. 63-89
Author(s):  
Iwona Niewiadomska ◽  
Rafał P. Bartczuk ◽  
Joanna Chwaszcz ◽  
Stanisław Fel ◽  
Weronika Augustynowicz ◽  
...  
Keyword(s):  
Problem Behaviour ◽  
Problem Behaviours ◽  
Upper Secondary ◽  
The Impact ◽  
The Relationship ◽  
Moderating Role ◽  
Upper Secondary Schools ◽  
Conceptual Work ◽  
Different Levels

Abstract This article explores the question, to what degree religiosity contributes, as a protecting factor against a broad category of socially deviant adolescent and youth behaviours. It also tests the hypothesis that gender plays a moderating role in the relationship between religiosity and problem behaviour. It employs a modified version of the Problem Behaviour Syndrome Measure (PBSM), in concert with Jessor and Jessor’s conceptual work. It also makes use of the Duke Religion Index (DUREL) to assess religiosity. The empirical study deals with a representative group of 960 students of upper-secondary schools in the Lubelskie province, Poland. The results were analyzed using canonical analysis and ANOVA. The achievements of the article are twofold. First, it identifies significant correlations between the different levels of religiosity among youth, and the occurrence and intensification of problem behaviours, particularly in regard to organized activity. Organized and intrinsic religiosity play principal protective roles, while the impact of personal religious practices is less significant. Secondly, while analyzing the moderating role of gender in the relationship between religiosity and the intensity of problem behaviour, it was found that gender does not have a significant interactive impact. An affirmative conclusion was confirmed in only two instances.

Impact of random soil properties on stress–strain response

2004 ◽  
Vol 41 (2) ◽  
pp. 351-355 ◽  
Author(s):  
Dieter Stolle ◽  
Peijun Guo ◽  
Gabriel Sedran
Keyword(s):  
Soil Properties ◽  
Constitutive Modelling ◽  
Soil Parameters ◽  
Strain Response ◽  
Constitutive Behaviour ◽  
Stress Strain ◽  
Deterministic Analysis ◽  
Model Predictions ◽  
Random Variability ◽  
The Impact

This paper analyzes the impact of natural random variation of soil properties on the constitutive modelling of geomaterial behaviour. A theoretical framework for accommodating variation in soil properties is presented. The framework is then used to examine the consequence of parameter variability on stress–strain relations. An important observation is that average soil parameters from a series of tests on small specimens, in which density of the specimens varies randomly, do not necessarily reflect the average constitutive behaviour of soil. Model predictions are shown to be consistent with the experimental data.Key words: random variability, deterministic analysis, soil parameters, constitutive model.

How to Compare the Incomparable: An International Comparison of the Impact of Housing Costs on Levels of Social Assistance

2003 ◽  
Vol 5 (2) ◽  
pp. 128-149 ◽  
Author(s):  
Susan Kuivalainen
Keyword(s):  
Social Assistance ◽  
Disposable Income ◽  
The United Kingdom ◽  
Relative Value ◽  
Housing Costs ◽  
Family Types ◽  
Before And After ◽  
The Impact ◽  
Levels Of Support ◽  
Different Levels

This article analyses the importance of housing costs in cross-national comparisons of social assistance. The article explores the model family technique, the most commonly used method of comparing levels of support, and analyses the impact of housing costs on outcomes. The importance of housing costs is assessed by using different definitions of disposable income, by comparing the level of social assistance without, before and after housing costs. Three different rent levels are specified in order to evaluate the impact of housing costs and seven different family types are considered in the analysis. The countries used for comparison are Denmark, Finland, the Netherlands, Sweden, and the United Kingdom, during the late 1990s. The findings show that housing costs have an impact on outcomes in social assistance: when housing costs are disregarded, the differences between countries are greater. The outcomes vary with different calculations of disposable income: the relative value of assistance between countries and families varies, and the ranking of countries is also altered. Different levels of housing costs have a similar impact, showing changes in the relative position of countries. Overall the findings show that taking housing costs into account makes a difference.

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