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Marine litter has significant ecological, social and economic impacts, ultimately raising welfare and conservation concerns. Assessing marine litter hotspots or inferring potential areas of accumulation are challenging topics of marine research. Nevertheless, models able to predict the distribution of marine litter on the seabed are still limited. In this work, a set of Artificial Neural Networks were trained to both model the effect of environmental descriptors on litter distribution and estimate the amount of marine litter in the Central Mediterranean Sea. The first goal involved the use of self-organizing maps in order to highlight the importance of environmental descriptors in affecting marine litter density. The second goal was achieved by developing a multilayer perceptron model, which proved to be an efficient method to estimate the regional quantity of seabed marine litter. Results demonstrated that machine learning could be a suitable approach in the assessment of the marine litter issues.
This article was published in the following journal.
Name: Marine pollution bulletin
China is the largest plastic consumer in the world. Despite its plastic waste import ban in 2017, this populous economy inevitably generates a large amount of waste, including plastic waste, a conside...
Anthropogenic marine litter pollution is a serious issue facing oceans worldwide. Limited data exists on this pollution issue for South Pacific Island nations and for Small Island Developing States (S...
Items of marine plastic litter are conventionally classified as primary or secondary, depending on whether they are distinct objects or angular fragments, respectively. "Pyroplastic" is an additional ...
In this study, the occurrence and distribution of microplastics in artificial reefs around the Ma'an Archipelago, a national marine ranching area in China, were investigated. The abundance of micropla...
We determined the spatial and seasonal distribution of Floating Marine Debris (FMD) by visual ship surveys across the northern Baltic Sea between Finland and Sweden. FMD density was comparatively low,...
The purpose of this study is to measure peak skin interface pressures and the total area of the body exposed to skin interface pressure above 30 mm Hg at different areas of the body in the...
The aim of this study is to investigate the potential effect of a marine protein hydrolysate (MPH) supplement before a meal on postprandial glucose tolerance in healthy subjects, to achiev...
This is a long-term intervention study on the effects of marine n-3 PUFAs in renal transplantation. Our hypothesis is that patients treated with marine n-3 PUFA supplementation will have l...
The primary objective of this randomized, double-blind, placebo-controlled trial is to determine the efficacy and effectiveness of Ca and vitamin D supplementation provided daily throughou...
The potential use of marine protein hydrolysates (MPH) as a supplement with similar or better health benefits than a regular white fish meal, can be regarded both cost-effective, environme...
The probability distribution associated with two mutually exclusive outcomes; used to model cumulative incidence rates and prevalence rates. The Bernoulli distribution is a special case of binomial distribution.
A distribution function used to describe the occurrence of rare events or to describe the sampling distribution of isolated counts in a continuum of time or space.
The study of aquatic life inhabiting bodies of water, including growth, morphology, physiology, genetics, distribution, and interactions with other organisms and the environment. It includes MARINE HYDROBIOLOGY.
A distribution in which a variable is distributed like the sum of the squares of any given independent random variable, each of which has a normal distribution with mean of zero and variance of one. The chi-square test is a statistical test based on comparison of a test statistic to a chi-square distribution. The oldest of these tests are used to detect whether two or more population distributions differ from one another.
The number of offspring produced at one birth by a viviparous animal.