Results 201 to 210 of about 30,188 (257)
Drivers of Precision Agriculture Adoption in Italian Viticulture
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT This study examines the main drivers influencing the adoption of two types of precision farming technologies in the viticultural sector: Decision Support Systems (DSSs) and Variable Rate Technologies (VRTs). We apply a partial proportional odds model and find that socio‐demographic characteristics are not significant determinants of adoption ...
Olimpia Fontana +3 more
wiley +1 more source
Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union
Advanced Energy and Sustainability Research, EarlyView.This study maps photovoltaic recycling capacity in the EU and key global regions, highlighting gaps between growing waste volumes and available infrastructure. It combines survey insights and policy analysis to identify recycling bottlenecks and offers recommendations to boost circularity in the solar sector.
Nieves Espinosa +3 more
wiley +1 more source
Morbidity Among the Aging Population in Northern Bangladesh: An Epidemiological Study
AGING MEDICINE, EarlyView.Multimorbidity (≥ 2 chronic diseases) is common among aging populations, yet evidence from Bangladesh remains limited. A cross‐sectional survey of 540 older adults in Northern Bangladesh (June–August 2022) assessed multimorbidity using interviews and logistic regression analysis. Multimorbidity prevalence was 75.74% (95% CI: 71.9%–79.3%).
Md. Abu Sayem +3 more
wiley +1 more source
Analysis of logistic growth models [PDF]
Mathematical Biosciences, 2002 A variety of growth curves have been developed to model both unpredated, intraspecific population dynamics and more general biological growth. Most predictive models are shown to be based on variations of the classical Verhulst logistic growth equation. We review and compare several such models and analyse properties of interest for these.
A Tsoularis
exaly +3 more sources
A neo-logistic model for the growth of bacteria [PDF]
Physica A: Statistical Mechanics and Its Applications, 2019 We propose a neo-logistic model that can describe bacterial growth data precisely. This model is not derived by modifying the logistic model formally, but by incorporating the synthesis of inducible enzymes into the logistic model indirectly. Therefore, the meaning of the parameters of the neo-logistic model becomes physically clear.
Tohru Tashiro
exaly +3 more sources
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Modelling the growth of plants with a uniform growth logistics
Journal of Theoretical Biology, 2014The increment model has previously been used to describe the growth of plants in general. Here, we examine how the same logistics enables the development of different superstructures.Data from the literature are analyzed with the increment model. Increments are growth-invariant molecular clusters, treated as heuristic particles.
H G, Kilian +3 more
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On the optimality of the logistic growth
Journal of Optimization Theory and Applications, 1988The rate at which a population should grow is determined by finding the best trade-off between the loss due to the deviation from a target population size and the loss associated to the growing effort. It is also shown that, in the case of infinite-time horizon and quadratic loss functions, the optimal growth is logistic.
GATTO, MARINO +2 more
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Comparison of Logistic Equations for Population Growth
Biometrics, 1975Two different forms of the logistic equation for population growth appear in the ecological literature. In the form of the logistic equation that appears in recent ecology textbooks the parameters are the instantaneous rate of natural increase per individual and the carrying capacity of the environment. In the form of the logistic equation that appears
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A generalized logistic model for photosynthetic growth
Ecological Modelling, 1997Abstract This paper presents a model for the photosynthetic growth of C 3 green plants, consisting of a 1-periodic scalar first order nonautonomous ordinary differential equation, of the generalized logistic type. The model is tested both mathematically and experimentally.
INVERNIZZI, SERGIO, Terpin K.
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2003
Differential equation models, whether ordinary, delay, partial or stochastic, imply a continuous overlap of generations. Many species leave no overlap between successive generations and so population growth is in discrete steps. For primitive organisms, these discrete steps can be quite short, and hence a continuous (in time) model may be a reasonable ...
Anatoly Swishchuk, Jianhong Wu
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Differential equation models, whether ordinary, delay, partial or stochastic, imply a continuous overlap of generations. Many species leave no overlap between successive generations and so population growth is in discrete steps. For primitive organisms, these discrete steps can be quite short, and hence a continuous (in time) model may be a reasonable ...
Anatoly Swishchuk, Jianhong Wu
openaire +1 more source