ULTIMO AGGIORNAMENTO BANCA DATI: 13/09/2024 13:00:57
Background Fatty fish is the dominant dietary source of n-3 LCPUFAs but it also contains other micronutrients considered important for brain development and function. To our knowledge, the effect of fatty fish intake on cognitive function in adolescents has not been investigated in randomized controlled ...
Rearrangements of the anaplastic lymphoma kinase (ALK) gene in non-small cell lung cancer (NSCLC) represent a novel molecular target in a small subset of tumors. Although ALK rearrangements are usually assessed by immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH), molecular approaches ...
Background Praziquantel-based mass treatment is the main approach to controlling schistosomiasis mansoni in endemic areas. Interventions such as provision and use of safe water, minimising contact with infested water, disposal of stool in latrines and snail control provide key avenues to break the ...
Ivermectin (IVM) is a widely-used anthelmintic that works by binding to and activating glutamate-gated chloride channel receptors (GluClRs) in nematodes. The resulting chloride flux inhibits the pharyngeal muscle cells and motor neurons of nematodes, causing death by paralysis or starvation. IVM resistance ...
Morphology-based identification of North Atlantic Sebastes has long been controversial and misidentification may produce misleading data, with cascading consequences that negatively affect fisheries management and seafood labelling. North Atlantic Sebastes comprises of four species, commonly known as ...
Background In the process of geographical retraction of malaria, some important endemicity pockets remain. Here, we report results from a study developed to obtain detailed community data from an important malaria hotspot in Latin America (Alto Juruá, Acre, Brazil), to investigate the association of ...
Using remote sensing of sea surface temperature (SST), sea surface height anomaly (SSHA) and chlorophyll-a (Chl-a) together with catch data, we investigated the detection and persistence of important pelagic habitat hotspots for skipjack tuna in the Gulf of Bone-Flores Sea, Indonesia. We analyzed the ...
Catch-per-unit-effort (CPUE) is often the main piece of information used in fisheries stock assessment; however, the catch and effort data that are traditionally compiled from commercial logbooks can be incomplete or unreliable due to many reasons. Pacific bluefin tuna (PBF) is a seasonal target species ...
The Next Generation Sequencing (NGS) technologies represent a turning point in the food inspection field, particularly for species identification in matrices composed of a blend of two or more species. In this study NGS technologies were applied by testing the usefulness of the Ion Torrent Personal ...
In this paper, we focus on the problem of locating a diver-in-distress using graph localization tools. Without GPS reception while being submerged, a diver cannot report on his location and upon distress can only rely on help from fellow divers by sending periodic SOS messages using underwater acoustic ...
The purpose of this study was to identify the concentration of multi-elements (MEs) in source water (surface and drinking water) and assess their quality for sustainability. A total of 161 water samples including 88 tap drinking waters (DW) and 73 surface waters (SW) were collected from five cities ...
AC filter in converter station is an important part of HVDC transmission system, and the tripping accident of AC filter will directly affect the transmission power of the DC transmission system. This paper presents a method for on-line identification of AC filter's health status based on the opening/closing ...
The acquisition of sea surface wind information is of great value for marine activities, such as navigation, fishing and sea operations. In this paper, the ERS-2 SAR data, covering the Yangtze River estuary and its adjacent waters at around 10:30 local time on March 15, 2007, was applied to retrieve ...
To support evidence-based science and technology policy, it is important to provide information systematically through platforms such as a decision support system. This study suggests an integrated classification system for categorizing information as a way to provide it systematically. The integrated ...
Subsea power cables forms a major part of tidal energy systems and are damaged easily due to drag of the ship anchors and fishing trolls. This paper addresses both structural health of subsea cable as well as a multi-sensor monitoring techniques for a robust defect detection system. The paper addresses ...
The decline of the environmental situation in the world generates a need for regular drinking water quality monitoring as well as for the efficient nature management system development. An introduction to the concept of a fractal-synergetic approach to the procedure for conducting the environmental ...
Modern control theory has been applied successfully in a wide variety of engineering disciplines for decades. In sharp contrast to this situation, however, there are fields like ecology where control methodologies have not been so successful in practice. This largely due to the poor quality of models ...
The Coastal Ocean Observation System of Murcia Region (OOCMUR) was established in 2008 as a major scientific and technological infrastructure in Spain with the main objective of studying the impact of global climate change in the Mediterranean. The coastal lagoon of Mar Menor in southeast Spain was ...
The intelligent decision making systems are useful tools for the assistance of human expert, and or as a perfect alternative for expert in a variety of auto-decision making fields. The use of such systems in education, agriculture, industry, fishery, animal husbandry etc., can decrease manpower errors ...
We describe an integrated system for vision-based counting of wild scallops in order to measure population health, particularly pre- and post-dredging in fisheries areas. Sequential images collected by an autonomous underwater vehicle (AUV) are independently analyzed by a convolutional neural network ...