Capture success and prey selectivity were investigated in clownfish Amphiprion ocellaris larvae using videography. Three prey types were tested using developmental stages (nauplii, copepodites and adults) of the copepod Parvocalanus crassirostris. Predatory abilities improved rapidly between days 1 and 14 post-hatch. Initially, capture success was limited to nauplii with few attacks on larger stages. Captures of copepodites were first observed at 3 dph, and of adults at 8 dph. Consistent strikes at the larger prey were observed on the day prior to successful captures (2 dph for copepodites, 7 dph for adults). Difference in capture success between nauplii and adults at 8 dph was an order of magnitude. Differences in capture success among prey types persisted but decreased to three-fold by 14 dph. Younger A. ocellaris attacked nauplii preferentially and avoided adult prey. Strike selectivity declined with age, and no selectivity was observed after 10 dph. However, numerically 50% of the ingested prey were still nauplii at 14 dph under the experimental conditions.
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http://dx.doi.org/10.1038/srep33585 | DOI Listing |
Comput Biol Med
January 2025
Department of EECE, Military Institute of Science and Technology (MIST), Mirpur Cantonment, Dhaka, 1216, Bangladesh. Electronic address:
The detection and excision of colorectal polyps, precursors to colorectal cancer (CRC), can improve survival rates by up to 90%. Automated polyp segmentation in colonoscopy images expedites diagnosis and aids in the precise identification of adenomatous polyps, thus mitigating the burden of manual image analysis. This study introduces FocusUNet, an innovative bi-level nested U-structure integrated with a dual-attention mechanism.
View Article and Find Full Text PDFBMJ Health Care Inform
January 2025
College of Medicine and Veterinary Medic, The University of Edinburgh Usher Institute of Population Health Sciences and Informatics, Edinburgh, UK.
Aim: We aimed to identify enablers and barriers of using primary care routine data for healthcare research, to formulate recommendations for improving efficiency in knowledge discovery.
Background: Data recorded routinely in primary care can be used for estimating the impact of interventions provided within routine care for all people who are clinically eligible. Despite official promotion of 'efficient trial designs', anecdotally researchers in the Asthma UK Centre for Applied Research (AUKCAR) have encountered multiple barriers to accessing and using routine data.
J Med Internet Res
January 2025
Institute for Entrepreneurship, Technology Management and Innovation (EnTechnon), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Background: Digital health technology (DHT) has the potential to revolutionize the health care industry by reducing costs and improving the quality of care in a sector that faces significant challenges. However, the health care industry is complex, involving numerous stakeholders, and subject to extensive regulation. Within the European Union, medical device regulations impose stringent requirements on various ventures.
View Article and Find Full Text PDFJ Med Entomol
January 2025
Department of Zoology, The University of Burdwan, West Bengal, India.
Host-seeking behavior of Culicoides species was examined from 2018 to 2019 in West Bengal, India, which elucidated diel activity, feeding success, attack rate, biting rate, and preferential landing of adult Culicoides on the cattle. A comparative assessment was done between the light trap and the aspirator. The host-seeking experiment involved a substantial timeframe of 297 h of catch collections over 27 nights.
View Article and Find Full Text PDFPLoS One
January 2025
Department of English and Communication, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
This study aims to provide an LLM (Large Language Model)-based method for the discourse analysis of media attitudes, and thereby investigate media attitudes towards China in a Hong Kong-based newspaper. Analysis of attitudes in large amounts of media data is crucial for understanding public opinions, market trends, social dynamics, etc. However, corpus-based approaches have traditionally focused on explicit linguistic expressions of attitudes, leaving implicit expressions unconsidered.
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