312 research outputs found

    Global Deep-Sea Biodiversity Research Trends Highlighted by Science Mapping Approach

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    17 pages, 7 figures, supplementary material https://www.frontiersin.org/articles/10.3389/fmars.2020.00384/full#supplementary-material.-- All datasets generated for this study are included in the article/Supplementary Materia

    Tracking fish abundance by underwater image recognition

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    Marine cabled video-observatories allow the non-destructive sampling of species at frequencies and durations that have never been attained before. Nevertheless, the lack of appropriate methods to automatically process video imagery limits this technology for the purposes of ecosystem monitoring. Automation is a prerequisite to deal with the huge quantities of video footage captured by cameras, which can then transform these devices into true autonomous sensors. In this study, we have developed a novel methodology that is based on genetic programming for content-based image analysis. Our aim was to capture the temporal dynamics of fish abundance. We processed more than 20,000 images that were acquired in a challenging real-world coastal scenario at the OBSEA-EMSO testing-site. The images were collected at 30-min. frequency, continuously for two years, over day and night. The highly variable environmental conditions allowed us to test the effectiveness of our approach under changing light radiation, water turbidity, background confusion, and bio-fouling growth on the camera housing. The automated recognition results were highly correlated with the manual counts and they were highly reliable when used to track fish variations at different hourly, daily, and monthly time scales. In addition, our methodology could be easily transferred to other cabled video-observatories.Peer ReviewedPostprint (published version

    Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories

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    Corrección de una afiliación en Sensors 2023, 23, 16. https://doi.org/10.3390/s23010016An understanding of marine ecosystems and their biodiversity is relevant to sustainable use of the goods and services they offer. Since marine areas host complex ecosystems, it is important to develop spatially widespread monitoring networks capable of providing large amounts of multiparametric information, encompassing both biotic and abiotic variables, and describing the ecological dynamics of the observed species. In this context, imaging devices are valuable tools that complement other biological and oceanographic monitoring devices. Nevertheless, large amounts of images or movies cannot all be manually processed, and autonomous routines for recognizing the relevant content, classification, and tagging are urgently needed. In this work, we propose a pipeline for the analysis of visual data that integrates video/image annotation tools for defining, training, and validation of datasets with video/image enhancement and machine and deep learning approaches. Such a pipeline is required to achieve good performance in the recognition and classification tasks of mobile and sessile megafauna, in order to obtain integrated information on spatial distribution and temporal dynamics. A prototype implementation of the analysis pipeline is provided in the context of deep-sea videos taken by one of the fixed cameras at the LoVe Ocean Observatory network of Lofoten Islands (Norway) at 260 m depth, in the Barents Sea, which has shown good classification results on an independent test dataset with an accuracy value of 76.18% and an area under the curve (AUC) value of 87.59%.This work was developed within the framework of the Tecnoterra (ICM-CSIC/UPC) and the following project activities: ARIM (Autonomous Robotic Sea-Floor Infrastructure for Benthopelagic Monitoring; MarTERA ERA-Net Cofound) and RESBIO (TEC2017-87861-R; Ministerio de Ciencia, Innovación y Universidades)

    Distribution characteristics of pandalid shrimps (Decapoda: Caridea: Pandalidae) along the Central Mediterranean Sea

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    The genus Plesionika is represented in the Mediterranean Sea by eight species, six of which,Plesionikaacanthonotus, P. antigai, P. edwardsii, P. gigliolii, P. heterocarpus and P. martia, are very common on muddy bottoms of the continental slope. During nine experimental trawl surveys a total of 29,038 individuals of these six pandalid species, was collected off the central western coasts of Italy (central Mediterranean) in order to study population structure and spatial distribution. P . antigaiinhabits the shelf break and upper slope; P. heterocarpus shows a wide bathymetric distribution, from the shelf-break to the upper slope; P. edwardsii and P. gigliolii occur in the upper slope. P. acanthonotus and P. martia occur in the deepest depths investigated. Segregation by size is revealed for the species that inhabit the same bottoms. The non-homogenous spatial distribution of Plesionikaspecies in the study area was probably related to the spatial differences in the magnitude of primary production in the area

    Women and alcohol. A survey in the city of Barletta

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    Introduction. The aim of this survey was to evaluate the qualitative and quantitative relationship among women from Barletta - a national renowned wine center - and their alcohol consumption. Methods. The AUDIT questionnaire was used to assess the prevalence of alcohol hazardous consumption among women. Questionnaires were submitted from March to November 2012. The sample was composed of 150 women older than 13 years of age, selected by stratified sampling based on age group. Results. 107 women were enrolled with a total response rate of 71.3%. 62% of enrolled women consumes alcoholic beverages with a frequency that goes from 2-3 times a week to less than once a month, usually 1 or 2 alcoholic units. The binge-drinking was reported by 5% of women. Women who reported alcohol-related risk behaviors were less than 3%, they were single and between 18 and 60 years old and such behaviors occur less than once a month. The final score, calculated for all the women from their questionnaire answers, was not higher than 8, with an average score of 1.3 (SD = 1.5; range: 0 to 2.8). The comparison of the average scores of the three age groups showed a statistically sig- nificant difference (F = 5.8, p = 0.004). Discussion. Data from literature showed a change in the habits of alcohol intake by the global, European and also Italian population. These changes also affect and involve female. Our study found a quite moderate alcohol consumption among women from Barletta, with only 1% who consumes 3 or more alcohol units and drink more than four times a week and 3% who had hazardous behavior related to their alcohol consumption. Statistical significance was found for the age and the lack of stable relationships. The analysis of characteristics of at risk women (old age and single-status) suggests that much attention should be paid to them and they should represent the main subject of future social interventions to prevent alcohol related problems in the city of Barletta

    Search for genetic variants in the p66Shc longevity gene by PCR-single strand conformational polymorphism in patients with early-onset cardiovascular disease.

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    Background: Among the possible candidate genes for atherosclerosis experimental data point towards the longevity gene p66(Shc). The p66(Shc) gene determines an increase of intracellular reactive oxygen species (ROS), affecting the rate of oxidative damage to nucleic acids. Knock-out p66(Shc-/-) mice show reduction of systemic oxidative stress, as well as of plasma LDL oxidation, and reduced atherogenic lesions. Thus, p66(Shc) may play a pivotal role in controlling oxidative stress and vascular dysfunction in vivo. Methods: We searched for sequence variations in the p66(Shc) specific region of the Shc gene and its upstream promoter by PCR-SSCP in a selected group of early onset coronary artery disease ( CAD) subjects (n. 78, mean age 48.5 +/- 6 years) and in 93 long-living control subjects ( mean age 89 +/- 6 years). Results: The analysis revealed two variant bands. Sequencing of these variants showed two SNPs: -354T > C in the regulatory region of p66(Shc) locus and 92C > T in the p66 specific region (CH2). Both these variants have never been described before. The first substitution partially modifies the binding consensus sequence of the SpI transcription factor, and was detected only in two heterozygous carriers (1 CAD subjects and 1 control subject). The 92C > T substitution in the CH2 region consists in an amino acid substitution at codon 31 (proline to leucine, P31L), and was detected in heterozygous status only in one CAD subject. No subjects homozygous for the two newly described SNPs were found. Conclusion: Only two sequence variations in the p66(Shc) gene were observed in a total of 171 subjects, and only in heterozygotes. Our observations, in accordance to other studies, suggest that important variations in the p66(Shc) gene may be extremely rare and probably this gene is not involved in the genetic susceptibility to CAD

    Femoral artery ultrasound examination: a new role in predicting cardiovascular risk

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    We compared intima-media thickness (IMT) and the prevalence of plaques in the common carotid artery (CCA) and common femoral artery (CFA) in apparently healthy participants. This multicenter study included 322 participants (59.9% female; age 20-78 years, mean 52.1 ± 15.3 years) who underwent Echo-color Doppler examination of the CCA and CFA bilaterally. Prevalence and composition of plaque were recorded. A significant ( P < .01) difference between mean CCA-IMT and mean CFA-IMT was detected (0.70 vs 0.73 mm). Plaque prevalence was significantly higher in the CFA compared to the CCA (40.7% vs 30.4%). Atherosclerotic plaques were found in both CFA and CCA in 46% of the cases, solely in CFA in 38%, and in CCA alone in 17%. The observed difference in plaque prevalence was even greater when only fibrolipid isolated plaques were considered (CFA 39.4% vs CCA 22.1%). In a healthy general population, atherosclerotic plaques were present in the CFA but not in the CCA in over one-third of the cases. Further studies must confirm whether ultrasonography of the CFA might be introduced in the screening protocols for cardiovascular risk assessment

    Is chronic exposure to raw water a possible risk factor for amyotrophic lateral sclerosis? A pilot case-control study

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    Background: The etiopathogenesis of amyotrophic lateral sclerosis (ALS) is still largely unknown. Methods: We performed a case-control study (33 cases and 35 controls) in Umbria, Italy. We investigated associations between common lifestyle, clinical factors, as well as environmental exposures potentially implicated with ALS onset. Face-to-face interviews were carried out. All cases were recruited and diagnosed according to El Escorial criteria. Case-control comparisons were made for educational and residential status, occupational exposures, and clinical and lifestyle factors prior to cases’ dates of diagnosis. Results: Our results showed an increased risk of ALS for subjects chronically exposed to raw water use (odds ratio (OR) = 6.55, 95% confidence interval (CI): 2.24–19.12). Garden activities showed a tight association with ALS as well, very likely as a consequence of chronic raw water exposure. Indeed, we could exclude an impact for pesticides, as no significant differences were observed in pesticide exposure in the two groups interviewed. However, cases were more often exposed to fertilizers. After adjustment for age, sex, and heavy physical activities, exposure to raw water was still associated with increased ALS risk (OR = 4.74, 95% CI: 1.33–16.85). Discussion: These findings suggest an association between ALS and exposure to raw water, which should be further investigated for the presence of chemicals interfering with nervous system functionality
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