Niche Area Research Articles

Artificial intelligence in oncology: chances and pitfalls.

Artificial intelligence (AI) has been available in rudimentary forms for many decades. Early AI programs were successful in niche areas such as chess or handwriting recognition. However, AI methods had little practical impact on the practice of medicine until recently. Beginning around 2012, AI has emerged as an increasingly important tool in healthcare, and AI-based devices are now approved for clinical use. These devices are capable of processing image data, making diagnoses, and predicting biomarkers for solid tumors, among other applications. Despite this progress, the development of AI in medicine is still in its early stages, and there have been exponential technical advancements since 2022, with some AI programs now demonstrating human-level understanding of image and text data. In the past, technical advances have led to new medical applications with a delay of a few years. Therefore, now we might be at the beginning of a new era in which AI will become even more important in clinical practice. It is essential that this transformation is humane and evidence based, and physicians must take a leading role in ensuring this, particularly in hematology and oncology.

Microbial isolation and characterization from two flex lines from the urine processor assembly onboard the International Space Station

Urine, humidity condensate, and other sources of non-potable water are processed onboard the International Space Station (ISS) by the Water Recovery System (WRS) yielding potable water. While some means of microbial control are in place, including a phosphoric acid/hexavalent chromium urine pretreatment solution, many areas within the WRS are not available for routine microbial monitoring. Due to refurbishment needs, two flex lines from the Urine Processor Assembly (UPA) within the WRS were removed and returned to Earth. The water from within these lines, as well as flush water, was microbially evaluated. Culture and culture-independent analysis revealed the presence of Burkholderia, Paraburkholderia, and Leifsonia. Fungal culture also identified Fusarium and Lecythophora. Hybrid de novo genome analysis of the five distinct Burkholderia isolates identified them as B. contaminans, while the two Paraburkholderia isolates were identified as P. fungorum. Chromate-resistance gene clusters were identified through pangenomic analysis that differentiated these genomes from previously studied isolates recovered from the point-of-use potable water dispenser and/or current NCBI references, indicating that unique populations exist within distinct niches in the WRS. Beyond genomic analysis, fixed samples directly from the lines were imaged by environmental scanning electron microscopy, which detailed networks of fungal-bacterial biofilms. This is the first evidence of biofilm formation within flex lines from the UPA onboard the ISS. For all bacteria isolated, biofilm potential was further characterized, with the B. contaminans isolates demonstrating the most considerable biofilm formation. Moreover, the genomes of the B. contaminans revealed secondary metabolite gene clusters associated with quorum sensing, biofilm formation, antifungal compounds, and hemolysins. The potential production of these gene cluster metabolites was phenotypically evaluated through biofilm, bacterial-fungal interaction, and hemolytic assays. Collectively, these data identify the UPA flex lines as a unique ecological niche and novel area of biofilm growth within the WRS. Further investigation of these organisms and their resistance profiles will enable engineering controls directed toward biofilm prevention in future space station water systems.

The best of both worlds? Reflections on the first hybrid international indexing conference in Berlin

The first hybrid indexing conference, ‘Continental Connections’, was held in Berlin in October 2022, with speakers and participants both on site and online, and presentations live-streamed to remote participants and recorded for later viewing by those unable to attend in real time. The original plans for an international indexing conference in Europe in 2021 had been derailed by the COVID-19 pandemic and the associated restrictions on travel and events. But in making a virtue of necessity, by embracing the hybrid format, the conference proved to be a resounding success, increasing participants’ sense of belonging to an international indexing community. With increased attendance and largely positive feedback from both groups of participants, it has set a precedent for future conferences and established how the hybrid format could be even more successful. Widening participation in this way will provide more opportunities for the interaction with colleagues that is so vital for freelance book indexers, who work in a niche area of publishing and are scattered around the world.

Body size-related polymorphic foraging strategy in adult green turtles

Green turtles (Chelonia mydas) are among the prominent migratory and conservation-needing animals. Missing data on the foraging strategy of green turtles limits effective conservation actions in the Eastern Mediterranean. We applied the stable δ13C and δ15N isotope signatures together with body size to evaluate the foraging ecology of green turtles. Five tissue samples were utilized, including keratin, epidermis, red blood cells, plasma, and whole blood. The samples were retrieved from five major breeding areas in Turkey. Significant correlations were observed between curved carapace length and the δ13C and δ15N values of the green turtles in all the breeding populations except for Alata. The bimodal distribution of δ13C and two clusters based on the δ13C and δ15N values indicated a dichotomy concerning the foraging habitats of the green turtles nesting on the Eastern Mediterranean. The body sizes of the females in the first cluster (with depleted values) were significantly larger than the second cluster (with enriched values). The total niche area of the females in the first cluster was larger than that in the second cluster, which may correspond to the generalist/specialist feeding strategy. The present study gives some novel results about the foraging ecology of green turtles in the Mediterranean. For effective and viable conservation actions, further studies are needed to identify the foraging areas of green turtles in the Mediterranean.

Sustainable Energy Research Trend: A Bibliometric Analysis Using VOSviewer, RStudio Bibliometrix, and CiteSpace Software Tools

Purpose: To systematically present the publication trends related to sustainable energy, which is an interdisciplinary concept. Design/methodology/approach: This study performed bibliometric analysis to investigate sustainable energy research between 1980 and 2022 using a sample of 1498 research papers from the Web of Science (WoS) databases, with only published articles on sustainable energy. Findings: A bibliometric analysis reveals trends in sustainable energy research publications, showing sustainable energy as an emerging topic and trends in sustainability and energy research. However, it seems that sustainable energy is still a niche area of study. Within the scope of the study, 2857 publications were included in the analysis. Of the publications included in the analysis, 1498 are articles and 1089 are other publication types. As a result of the analysis, the number of articles on the United Nations’ Sustainable Development Goals and the Paris Agreement has significantly increased since 2015. In 2022, the highest number was reached. It is seen that this finding is related to energy supply security and the reflections of geopolitical risks on it. The keyword “sustainable energy” stands out as the most frequently used keyword. Research limitations/implications: This research analysis is based on data from the Web of Science database only; there will be some shortcomings in the findings. Originality/Value: This research contributes to the field by exploring current developments in the field of sustainable energy, highlighting current gaps in the literature, and recommending future research in this field. The fact that the keywords “sustainable energy”, “renewable energy”, “sustainability”, and “sustainable development” are frequently included in the literature shows that interdisciplinary academic studies in these fields are of great importance.

A Scientometric Analysis of Deep Learning Approaches for Detecting Fake News

The unregulated proliferation of counterfeit news creation and dissemination that has been seen in recent years poses a constant threat to democracy. Fake news articles have the power to persuade individuals, leaving them perplexed. This scientometric study examined 569 documents from the Scopus database between 2012 and mid-2022 to look for general research trends, publication and citation structures, authorship and collaboration patterns, bibliographic coupling, and productivity patterns in order to identify fake news using deep learning. For this study, Biblioshiny and VOSviewer were used. The findings of this study clearly demonstrate a trend toward an increase in publications since 2016, and this dissemination of fake news is still an issue from a global perspective. Thematic analysis of papers reveals that research topics related to social media for surveillance and monitoring of public attitudes and perceptions, as well as fake news, are crucial but underdeveloped, while studies on deep fake detection, digital contents, digital forensics, and computer vision constitute niche areas. Furthermore, the results show that China and the USA have the strongest international collaboration, despite India writing more articles. This paper also examines the current state of the art in deep learning techniques for fake news detection, with the goal of providing a potential roadmap for researchers interested in undertaking research in this field.

Understanding work-related travel and its relation to malaria occurrence in Thailand using geospatial maximum entropy modelling

BackgroundEstimating malaria risk associated with work locations and travel across a region provides local health officials with information useful to mitigate possible transmission paths of malaria as well as understand the risk of exposure for local populations. This study investigates malaria exposure risk by analysing the spatial pattern of malaria cases (primarily Plasmodium vivax) in Ubon Ratchathani and Sisaket provinces of Thailand, using an ecological niche model and machine learning to estimate the species distribution of P. vivax malaria and compare the resulting niche areas with occupation type, work locations, and work-related travel routes.MethodsA maximum entropy model was trained to estimate the distribution of P. vivax malaria for a period between January 2019 and April 2020, capturing estimated malaria occurrence for these provinces. A random simulation workflow was developed to make region-based case data usable for the machine learning approach. This workflow was used to generate a probability surface for the ecological niche regions. The resulting niche regions were analysed by occupation type, home and work locations, and work-related travel routes to determine the relationship between these variables and malaria occurrence. A one-way analysis of variance (ANOVA) test was used to understand the relationship between predicted malaria occurrence and occupation type.ResultsThe MaxEnt (full name) model indicated a higher occurrence of P. vivax malaria in forested areas especially along the Thailand–Cambodia border. The ANOVA results showed a statistically significant difference between average malaria risk values predicted from the ecological niche model for rubber plantation workers and farmers, the two main occupation groups in the study. The rubber plantation workers were found to be at higher risk of exposure to malaria than farmers in Ubon Ratchathani and Sisaket provinces of Thailand.ConclusionThe results from this study point to occupation-related factors such as work location and the routes travelled to work, being risk factors in malaria occurrence and possible contributors to transmission among local populations.

A comparative knowledge map of priority environmental issues and doctoral research in South Africa

ABSTRACT Researchers not only respond to a strategic direction; their discovery of emerging issues also make them accountable to guide policy reform. The alignment of environmental doctoral research with environmental-related legislation and policy documents in South Africa is unknown. Doctoral research from 1998, the inception date of the National Environmental Management Act, to 2017 was analysed through a systematic literature review strategy and content analysis to determine the alignment of doctoral research topics to the key strategic environmental themes derived from 1 African policy document and 10 South African policy documents and legislation. A comparative knowledge map was developed to graphically represent the extent of alignment, the under-researched themes, gaps and the potential niche areas for future research. The comparative knowledge map assists in discovering where the knowledge is located, and where the gaps exist. It further offers policymakers and researchers a clear way to make decisions on past and current focus areas and points out where potential future research and practitioners’ foci should be. The extent to which South African research is responsive to national environmental priorities and goals is now known and environmental-related research is expected to demonstrate real-world relevance, not only aligning with policy but also guiding policy reform.

Evolution in Islamic capital market: a bibliometric analysis

PurposeThis study aims to explore the evolution of the Islamic capital market (ICM) from the perspective of research publications.Design/methodology/approachA bibliometric analysis was applied based on selected publications from the Web of Science Core Collection (WoSCC) database from 2000 to 2021. The study adopted VOSviewer software which was developed by Leiden University.FindingsThis study has some implications that need urgent action. Firstly, there are some areas that have received little attention among researchers, although they are relevant to the industry, for instance, in fintech and blockchain in ICM. Secondly, the inconsistent frequency of publications in some niche areas may suggest that there are unprecedented events that hinder further research; probably, the researcher may anticipate more information and progress in the industry. Thirdly, the need to strengthen the collaboration between industry and academia to advance research.Research limitations/implicationsThis study considered only the WoSCC database. The provider of WoSCC is Clarivate (formerly known as Thomson Reuters), where access to publications is limited to institutional subscribers. The implications of this study are to identify and propose future research trends in the field of ICM.Originality/valueTo the best of the authors’ knowledge, the present study is among the pioneer studies in analysing bibliometric focusing on ICM. Previous research has focused on Islamic finance and banking, and not specifically on ICM. Accordingly, this study sheds light on research gaps in ICM.

Evaluation of socio-economic status and cost-return structure of major vegetable crops in Kullu Valley of Himachal Pradesh (India)

The present study was carried out in Kullu Valley of Himachal Pradesh with the objective of finding out the socio-economic status and cost-return structure of the farmers. The multi-stage random sampling procedure was adopted to select the respondents. The costs and returns structure has been reported for the production of major vegetables, viz. tomato, cauliflower and peas in two vegetable-dominated developmental blocks of the district Kullu (Kullu and Naggar). Primary data has been collected through survey method for the agricultural year 2019-2020. The study revealed that per hectare cost A1 was highest for peas, followed by tomato and was the lowest for cauliflower. However, the per quintal cost of cultivation has been found to be the highest for tomato, followed by peas and cauliflower. Gross returns as well as net returns per hectare have been observed to be highest for tomato, followed by pea and cauliflower. The study suggests that to promote this enterprise, niche areas for off-season vegetable cultivation need to be identified as the vegetables grown in the district enjoy price advantage due to their off-season nature and efforts to tap irrigation potential in those areas should be enhanced. Education of farmers for scientific management of crops and provision of improved tools for efficient use of labour have also been suggested to lower production costs and make the vegetable cultivation more beneficial to farmers, particularly to the small and marginal farmers in the state.

Development of CNC machine code and user interface for a 3-axis pneumatically configurable polishing machine

The polishing of freeform surfaces finds applications in a variety of niche areas where the surface characteristics have a defining impact on functional capabilities of the product. Pneumatically Configurable Polishing (PCP) is a recent addition to the available technologies which can generate surface finish of nanometric scales on freeform surfaces. The manipulative ease and determinism in polishing force control offered by the PCP process allow it to finish complex surface profiles in a highly repeatable way. The automation code for a CNC PCP machine-tool is developed to ensure the accuracy in the finished parts being produced. The machine code for CNC interpolation and the parametric process control have been carried out in the Parker Automation Manager software. The user interface has been designed and deployed using the JMobile HMI software. The PAM Visualization allows the user defined part program to be loaded in the controller from an external removable disk. The exchange of tags and process variables between the controller and HMI has been done using the OPC UA platform. A part program created using a CAM software is employed to finish a sample workpiece. The developed CNC machine code is successfully tested and evaluated for its functional performance and process repeatability.

Artificial Intelligence in Paediatric Tuberculosis.

Tuberculosis (TB) continues to be a leading cause of death in children despite global efforts focused on early diagnosis and interventions to limit the spread of the disease. This challenge has been made more complex in the context of the coronavirus pandemic, which has disrupted the "End TB Strategy" and framework set out by the World Health Organization (WHO). Since the inception of artificial intelligence (AI) more than 60years ago, the interest in AI has risen and more recently we have seen the emergence of multiple real-world applications, many of which relate to medical imaging. Nonetheless, real-world AI applications and clinical studies are limited in the niche area of paediatric imaging. This review article will focus on how AI, or more specifically deep learning, can be applied to TB diagnosis and management in children. We describe how deep learning can be utilised in chest imaging to provide computer-assisted diagnosis to augment workflow and screening efforts. We also review examples of recent AI applications for TB screening in resource constrained environments and we explore some of the challenges and the future directions of AI in paediatric TB.

Recent advances in the area of plant-based anti-cancer drug discovery using computational approaches.

Phytocompounds are a well-established source of drug discovery due to their unique chemical and functional diversities. In the area of cancer therapeutics, several phytocompounds have been used till date to design and develop new drugs. One of the desired interests of pharmaceutical companies and researchers globally is that new anti-cancer leads are discovered, for which phytocompounds can be considered a valuable source. Simultaneously, in recent years, the growth of computational approaches like virtual screening (VS), molecular dynamics (MD), pharmacophore modelling, Quantitative structure-activity relationship (QSAR), Absorption Distribution Metabolism Excretion and Toxicity (ADMET), network biology, and machine learning (ML) has gained importance due to their efficiency, reduced time-consuming nature, and cost-effectiveness. Therefore, the present review amalgamates the information on plant-based molecules identified for cancer lead discovery from in silico approaches. The mandate of this review is to discuss studies published in the last 5-6years that aim to identify the phytomolecules as leads against cancer with the help of traditional computational approaches as well as newer techniques like network pharmacology and ML. This review also lists the databases and webservers available in the public domain for phytocompounds related information that can be harnessed for drug discovery. It is expected that the present review would be useful to pharmacologists, medicinal chemists, molecular biologists, and other researchers involved in the development of natural products (NPs) into clinically effective lead molecules.

DETERMINING BUYING AND SELLING MOTIVATIONS OF COLLECTORS: A COLLECTOR TYPOLOGY

Collecting, which is a niche area of consumer behavior, has been given little research attention by marketing scholars. Based on an extensive literature review and primary data collection through in-depth interviews, conducted in Turkey, the present study intends to understand collectors’ motivations and emotional outputs of the process. Additionally, it also aims at classifying collector typologies based on their starting point of collecting and revealing the differentiated motives and emotional outcomes of each typology. The findings indicate that all of the participants in all groups stated that they are addicted to collecting. Within groups, Family collectors differentiate with passion for research and childhood collectors with nostalgia whereas leaving a heritage to the future and self-expression are the main motives of adulthood collectors. On the output side, the pleasure/satisfaction derived from collecting has been the common point of all collector groups. Besides, the percentage of pleasure takers in the A.C. is slightly lower than in other groups. Other positive outputs of collectors are listed as socializing, differentiation, and self-confidence. This typology will bring in more clarity and further insights that will help scholars; expand the research domain and it helps sellers of collectibles.

Bulanık Analitik Hiyerarşi Süreci ile Proje Lojistik Operasyonları için Hizmet Sağlayıcı Seçimi

The transportation of non-standard cargoes and related logistics operations are considered as a niche area that requires expertise. Logistics operations of non-standard cargoes must be carried out carefully in order to deliver the cargo on time and in undamaged conditions. Although a significant amount of literature has been published on service provider selection, there is no study in the field of project logistics. For this reason, it is necessary to investigate and determine the selection criteria for project logistics service providers. In the study, fuzzy analytical hierarchy process (FAHP) is used for project logistics service provider selection. The results are that for project logistics management, logistics service providers need to improve vehicle availability, cargo security, on-time delivery, etc. to become more competitive.

Anthropogenic nutrient loading affects both individual species and the trophic structure of river fish communities

Although the concept of trophic interactions has been used for a long time, there are still considerable gaps in our understanding of the effect of various environmental factors on trophic interactions within river fish assemblages. Carbon (δ13C) and nitrogen (δ15N) stable isotope ratios of 20 species of fish belonging to both eurytopic and rheophilic ecological groups from a large temperate rivers were used to evaluate overall trophic niche use and trophic position of species, and to find out how environmental variability associated with nutrient loading affects individual and community-wide aspects of trophic structure. The study was carried out at 11 sites along the European rivers Vltava and Elbe, representing a continuous gradient of pollution and habitat degradation. Corrected Standard Ellipse Area (SEAc) was significantly larger for the group of eurytopic ecological species than for rheophilic species. Despite narrower isotopic niche space, rheophilic fish species occupied a higher trophic position, suggesting that these species use resources more enriched in 15N. Of the 11 environmental variables tested, nutrients had a significant effect on trophic niche area of species (SEAc), indicating that eutrophication is of critical importance for fish assemblages. Isotopic niche area of species was found to be positively influenced by total phosphorus, and negatively affected by concentrations of nitrate (N-NO3−) and ammonia (N-NH4+). A negative association between oxygen demand and a measure of trophic diversity - mean distance to centroid (CD)- and a measure of density and clustering of species - mean nearest neighbor distance (MNND)- were found, indicating that the oxygen demand is a key factor influencing community trophic structure. An observed pattern where nutrient loading influenced both individual species and trophic structure of the fish assemblage provides strong support for an anthropogenic influence on riverine food webs.

Screening and validation of the iris manifestation among patients with hemiplegia- an observational study.

Understanding and validating the science behind traditional diagnostic methods is a niche area to be explored. Iris diagnosis is one such valuable diagnostic tool used in Naturopathy. In the current study, we have assessed and documented the iris changes observed among patients with hemiplegia with respect to the iridology chart. We recruited 35 patients with hemiplegia which includes both genders. Iris image was captured by Angel Kiss New 5.0MP Iridology Camera with Pro Iris Analysis Software. Lesion characters, such as open lesion, closed lesion, spot, furrow, radii solaris, intestinal crypts etc., in the iris were noted along with its various characteristics in an excel sheet in numerical order for analysis. Majority of the included patients were male (n=30) and the mean age of the patients was 46years. The most common iris lesions noted were radii solaris and intestinal crypt in the cerebrum and cerebellum regions. Other notable lesions include open lesion, closed lesion, brown spot, hole and nerve ring. ROC analysis for selected iris lesions showed that intestinal crypt (AUC=0.82, p=0.01) and radii solaris (AUC=0.62, p=0.04) to be potential markers for hemiplegia. Two common lesions observed in patients with hemiplegia are radii solaris and intestinal crypt, corresponding to the cerebrum and cerebellum regions of the iris. Future studies with larger sample size would help warrant our current findings, and also the possible application of iris diagnosis as an early diagnostic marker for hemiplegia.

Small-scale differences in blue cod length distribution, growth, and trophic ecology in New Zealand

Growth and reproduction in marine fish populations can be strongly influenced by local habitat quality and nutritional resources. Habitat degradation can alter prey composition and availability, and, consequently, trophic position and dietary niche breadth of marine fish. In the present study, we compared length-frequency distributions, growth, stomach contents, and isotopic values (δ13C and δ15N) of blue cod Parapercis colias subpopulations from biogenic reef habitats and habitats that were more strongly influenced by shellfish dredges and fine sediment in New Zealand. Blue cod inhabiting more degraded regions were significantly smaller and relied on different prey items than blue cod from biogenic reef habitats. Results indicated that the isotopic niche areas of blue cod occupying degraded habitats were smaller than those of blue cod inhabiting relatively undisturbed biogenic reefs. Isotope mixing models demonstrated that blue cod from one of the biogenic reef regions relied predominantly on suspended particulate organic matter, while blue cod from the other biogenic and degraded regions primarily relied on macroalgae as their organic matter source. Dietary niche overlap was likely higher for blue cod from degraded habitats, with potential consequences for growth and reproduction. Blue cod inhabiting biogenic reefs showed a high degree of individual specialisation. The present study demonstrated that differences in length distribution, growth, and trophic ecology among blue cod subpopulations coincided with differences in habitat degradation. Ecosystem-based management solutions can help regenerate high-quality biogenic habitats while reducing fisheries mortality within these critical habitats.

Wellbeing and mental health interventions for Indigenous children and youth: A systematic scoping review

IntroductionKey policy directives from Canada, Australia, New Zealand, Norway and the United States (CANNZUS countries) highlight the importance of addressing the unique and complex wellbeing and mental health needs of Indigenous school-aged children and youth. This systematic scoping review of the peer reviewed and grey literature identifies the extant evidence about the conditions, strategies and impacts of wellbeing and mental health screening, management and referral pathways for Indigenous children and youth in CANNZUS countries. MethodsA search for peer reviewed and grey literature was conducted of 17 electronic databases and 13 clearinghouses and websites in each of the included countries. Search results were imported into Endnote X9 with titles and abstracts screened against inclusion criteria. The full texts of selected publications were screened by at least two blinded reviewers. Data extracted from the full texts included: authorship, year and publication type; country, target group, sample size and intervention setting, intervention type and study design, outcome measures and reported outcomes. ResultsThe searches produced 3223 peer reviewed and 278 grey literature publications (after duplicates were removed) giving a total of 3501 references. Screening resulted in 15 papers arising from 14 intervention studies in primary health care services, education, juvenile justice and community settings. Only 9 of the 15 publications evaluated an intervention; 6 were program descriptions. The review identified four key approaches to improve wellbeing and mental health care for Indigenous children and youth – cross-service collaboration, professional education, intervention quality and appropriateness, and enhancing direct service provision pathways. Intervention outcomes included acceptability, appropriateness and effectiveness. Discussion/conclusionThe small number of studies found suggests that this research niche area is still in development, with few evaluations of interventions. Identification of interventions within the four broad strategy areas is useful, and the review has some value in guiding the tailored development of interventions in other sites. Further Indigenous-led investigations of wellbeing are needed to identify what works to improve wellbeing and mental healthcare for Indigenous children and youth.

Understanding the role of ecological factors affecting mercury concentrations in the blue shark (Prionace glauca)

Human activities have increased environmental concentrations of pollutants in marine ecosystems, which can cause harmful effects on marine organisms. Top predators are particularly susceptible to bioaccumulation and biomagnification of pollutants through the food webs and are described as good sentinels for monitoring metal accumulation such mercury (Hg) in marine ecosystems. However, to be used as sentinels, it is important to understand the main ecological factors affecting the concentrations of pollutants in these organisms. In the present study, our main objective was to investigate the effect of body size, sex, trophic niche and geographic area on Hg concentrations in a top marine top predator, the blue shark (Prionace glauca). We analysed Hg in muscle samples from male and female blue sharks of different body sizes collected from the waters surrounding the Canary Islands and the South of Portugal, in the Atlantic Ocean, to waters of the north-western Mediterranean Sea. The results revealed that the sampling area was an important factor explaining Hg concentrations, showing higher values in the Mediterranean blue sharks. We also found a positive relationship between Hg concentrations and body size of blue sharks, indicating a bioaccumulation process of this pollutant in relation with body size. Moreover, we observed a relationship between Hg concentrations and δ13C values, a proxy of the use of inshore-offshore marine habitats. Individuals with depleted δ13C values that potentially foraged in offshore waters showed higher Hg values. Importantly, most of the analysed blue sharks presented Hg concentrations that exceeded the limits established by the European Union for human consumption.