Results 111 to 120 of about 3,974,487 (287)

Targeted Fishery for Bogue Boops boops (Linnaeus, 1758) Around Sea-Cage Fish Farms in the Turkish Aegean Sea

open access: yesCroatian Journal of Fisheries
This study investigated artisanal fishing activity near sea cages in Güllük Bay in the southeastern Aegean Sea based on dockside sampling with local fishermen. The daily fishing activity of bogue Boops boops gillnetters was randomly observed in the ports
Ertosluk Okan   +3 more
doaj   +1 more source

Analysis of fishing trend and prediction of fisheries potential based on catch data analyses (case study: the Caspian Sea) [PDF]

open access: yesبوم‌شناسی آبزیان, 2012
The simple linear model and catch data from Caspian Sea during a decade were used to assess the state of the fishery in this region. Also fishery trends were analysed to determine the catch fluctuation during the period.
Mehdi Ghodrati Shojaei   +4 more
doaj  

Do Universal Free School Meals Improve the Dietary Quality of Food‐At‐Home Purchases?

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Since 2014, the number of schools offering universal free meals to all enrolled children without requiring annual meal applications has increased meaningfully. Using USDA's Purchase to Plate Crosswalk, a difference‐in‐differences framework, and a nationwide consumer panel, the effect of universal‐free‐meal exposure on the diet quality of food ...
Xueying Ma   +2 more
wiley   +1 more source

CATCH COMPOSITION OF PURSE SEINE IN EAST ACEH, INDONESIA [PDF]

open access: yesRussian Journal of Agricultural and Socio-Economic Sciences
Fish catch data is crucial for analyzing policy decisions aimed at conserving available fish resources. The lack of quality data and information on fishing gear catches is a significant obstacle in fisheries management in almost all regions of Indonesia.
Almufrodi A.H., Wiyono E.S., Zulkarnain
doaj  

Efficiency and Technology Gap in European Apple Production—A Metafrontier Model for Germany, Italy, and Poland

open access: yesAgribusiness, EarlyView.
ABSTRACT EU member states have exhibited varying rates of apple production growth. Technical efficiency (TE) estimation is suitable for identifying best‐practice farm performance. This study examined whether the development of the apple sector in Germany, Italy, and Poland was influenced by production efficiency, access to technology, as well as ...
Anika Muder, Jakub Staniszewski
wiley   +1 more source

Application of machine learning methods to restore size-sex composition in catches of snow crab

open access: yesИзвестия ТИНРО
Impact of environmental conditions on spatial distribution of size-sex groups is described statistically for snow crab Chionoecetes opilio. Based on the relationships identified, absolute values of catches are calculated for each such group.
I. S. Chernienko   +2 more
doaj   +1 more source

Study on the catch, bycatch and discard of Chinese pelagic longline fisheries in the Atlantic Ocean

open access: yesAquaculture and Fisheries
Catch, bycatch and discard information is important for the assessment and management of fisheries. Using Chinese pelagic tuna longline observer data from 2010 to 2018, we studied the catch composition in the Chinese pelagic tuna longline fisheries in ...
Boyi Pan   +5 more
doaj   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

open access: yesAdvanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri   +6 more
wiley   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

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