scholarly journals Acoustic influence of underwater mobile survey vehicles on the soundscape of Pacific rockfish habitat

2019 ◽  
Vol 146 (1) ◽  
pp. EL45-EL51 ◽  
Author(s):  
Alison. K. Stimpert ◽  
Brijonnay C. Madrigal ◽  
W. Waldo Wakefield ◽  
Mary M. Yoklavich
Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 381
Author(s):  
Ioannis P. Kokkoris ◽  
Vasileios Kokkinos ◽  
Evangelos Michos ◽  
Rafail Kalogeropoulos ◽  
Marios Charalambides ◽  
...  

This study presents a standardized approach to collecting, registering, and reporting field-survey data for baseline MAES (Mapping and Assessment of Ecosystems and their Services) information in Greece. This is accomplished through a web-based platform (MAES_GR) exclusively developed under the relevant, nation-wide LIFE-IP 4 NATURA project. Based on the European Commission’s guidance for ecosystem condition (EC) and ecosystem services (ES) MAES studies, we conceptualized and structured an online platform to support EC and ES assessments, integrating all relevant fields of information needed for registering EC and ES parameters. A novel algorithm calculating EC was also developed and it is available as an integral part of the platform. The use of the MAES_GR platform was evaluated during nationwide field surveys efforts, increasing time efficiency and reducing costs. Field recording of EC and ES pinpoint spatial priorities for ecosystem restoration, conservation and sustainable development. This work highlights that MAES implementation can be favored by the use of technology tools such as mobile survey platforms, developed according to scientific needs and policy guidelines. Such tools, apart from the data inventory phase, can be used for data analysis, synthesis and extraction, providing timely, standardized information suitable for reporting at the local, regional, national and European Union scale.


Author(s):  
Golam Mushih Tanimul Ahsan ◽  
Drew Williams ◽  
Ivor D. Addo ◽  
S. Iqbal Ahamed ◽  
Daniel Petereit ◽  
...  

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3746 ◽  
Author(s):  
Peter Shum ◽  
Lauren Moore ◽  
Christophe Pampoulie ◽  
Cristina Di Muri ◽  
Sara Vandamme ◽  
...  

Morphology-based identification of North AtlanticSebasteshas long been controversial and misidentification may produce misleading data, with cascading consequences that negatively affect fisheries management and seafood labelling. North AtlanticSebastescomprises of four species, commonly known as ‘redfish’, but little is known about the number, identity and labelling accuracy of redfish species sold across Europe. We used a molecular approach to identify redfish species from ‘blind’ specimens to evaluate the performance of the Barcode of Life (BOLD) and Genbank databases, as well as carrying out a market product accuracy survey from retailers across Europe. The conventional BOLD approach proved ambiguous, and phylogenetic analysis based on mtDNA control region sequences provided a higher resolution for species identification. By sampling market products from four countries, we found the presence of two species of redfish (S. norvegicusandS. mentella) and one unidentified Pacific rockfish marketed in Europe. Furthermore, public databases revealed the existence of inaccurate reference sequences, likely stemming from species misidentification from previous studies, which currently hinders the efficacy of DNA methods for the identification ofSebastesmarket samples.


Ecology ◽  
2009 ◽  
Vol 90 (9) ◽  
pp. 2444-2453 ◽  
Author(s):  
Travis Ingram ◽  
Jonathan B. Shurin

2011 ◽  
Vol 140 (2) ◽  
pp. 374-383 ◽  
Author(s):  
Alena L. Pribyl ◽  
Michael L. Kent ◽  
Steven J. Parker ◽  
Carl B. Schreck
Keyword(s):  

2018 ◽  
Author(s):  
Songhee Oh ◽  
Jae Heon Kim ◽  
Sung-Woo Choi ◽  
Hee Jeong Lee ◽  
Jungrak Hong ◽  
...  

BACKGROUND It is expected that artificial intelligence (AI) will be used extensively in the medical field in the future. OBJECTIVE The purpose of this study is to investigate the awareness of AI among Korean doctors and to assess physicians’ attitudes toward the medical application of AI. METHODS We conducted an online survey composed of 11 closed-ended questions using Google Forms. The survey consisted of questions regarding the recognition of and attitudes toward AI, the development direction of AI in medicine, and the possible risks of using AI in the medical field. RESULTS A total of 669 participants completed the survey. Only 40 (5.9%) answered that they had good familiarity with AI. However, most participants considered AI useful in the medical field (558/669, 83.4% agreement). The advantage of using AI was seen as the ability to analyze vast amounts of high-quality, clinically relevant data in real time. Respondents agreed that the area of medicine in which AI would be most useful is disease diagnosis (558/669, 83.4% agreement). One possible problem cited by the participants was that AI would not be able to assist in unexpected situations owing to inadequate information (196/669, 29.3%). Less than half of the participants(294/669, 43.9%) agreed that AI is diagnostically superior to human doctors. Only 237 (35.4%) answered that they agreed that AI could replace them in their jobs. CONCLUSIONS This study suggests that Korean doctors and medical students have favorable attitudes toward AI in the medical field. The majority of physicians surveyed believed that AI will not replace their roles in the future.


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