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Analysis of a large-hail producing supercell and its merger with a nascent supercell on 6 october 2015NARA Subscribed
This study documents the lifecycle and large-scale environment of a large-hail producing supercell that occurred in southern Brazil (SB) on 6 October 2015. The supercell underwent a merger with a nascent supercell near a Doppler weather radar and rapidly intensified shortly after the interaction. The original (premerger) supercell developed in a high-shear, high-instability pre-cyclogenesis environment and remained isolated un...
The role of metals in cancer and the use of metal chelators as a potential treatment strategyNARA Subscribed
Biometals such as iron, copper, zinc, manganese, cobalt, and selenium play crucial roles in cellular respiration, immunity, apoptosis, and signaling. However, their excessive accumulation can induce chronic inflammation, oxidative stress, and trigger carcinogenesis. Iron addiction stands out for its importance in tumor cell replication and survival. Cancer remains one of the leading causes of mortality worldwide. Given the lim...
Cryptobenthic reef fishes may not be safe from invasive lionfish ( Pterois spp. Oken, 1817)NARA Subscribed
Lionfish ( Pterois spp.) are hypothesized to negatively influence cryptobenthic reef fish assemblages through predation. We evaluated these potential effects on Caribbean reefs in Costa Rica and tropical reefs in Brazil. Brazil provided a reference condition for cryptobenthic assemblages prior to lionfish invasion, while the Costa Rica sites enabled comparisons between reefs inside marine protected areas (MPAs), where lionfish...
Predicting permeability from Nuclear Magnetic Resonance (NMR) data is a fundamental yet challenging task in reservoir characterization, primarily due to the uncertainty associated with surface relaxivity ( $$\rho $$ ρ ) parameters. In this work, we investigate the feasibility of using Machine Learning (ML) to estimate permeability from $$T_2$$ T 2 distributions and quantify how $$\rho $$ ρ uncertainty affects predictive accura...
An extraordinary new genus and species of horseshoe crab beetle (Ptiliidae: Cephaloplectini) from the Brazilian Atlantic biomeNARA Subscribed
Clepsammia gaia Chaul & Lopes-Andrade gen. et sp. n. is described herein, representing the first new taxon of Cephaloplectini (Ptiliidae) proposed in more than 80 years. The species is blind and flightless, as are all other known members of the tribe, but it exhibits a highly distinctive morphology, characterized by a conspicuous mid-body constriction bearing spongiform setae. The description is based on five specimens collect...
Technological advances in hardware and software have enabled the development of novel in situ plankton imaging systems to investigate the spatial and temporal distribution of plankton communities. State-of-the-art machine learning approaches have been applied for automated image classification, effectively handling the complex and highly variable morphology of plankton while maintaining high accuracy. Despite these advances, f...
On how to make aquaponics more circularNARA Subscribed
Does visiting an urban park in a large city influence people’s perception of common birds?NARA Subscribed
Many urban parks in large cities are created to promote human recreation and well-being by offering nature-like environments. Over time, urban-tolerant birds establish populations in these spaces. Although strengthening citizens’ connections with urban birds may enhance park-related well-being, it remains a central question whether visit frequency among the general public (i.e., non-birders) increases their perception and inte...
Urbanization and the size of green areas can alter numerous environmental and biological factors, including the ecological interactions between plants and animals in urban areas. Urban green areas contribute positively to the maintenance of biodiversity, provide resources for pollinators, and bring numerous benefits to the population in terms of ecosystem services. This study aimed to evaluate the effect of urbanization and th...
Predictive validation of the repeated low-dose reserpine rodent model of parkinsonismNARA Subscribed
L-DOPA (LD) is the gold-standard treatment of motor symptoms in Parkinson’s disease (PD), conventionally used to prove the predictive value of PD animal models. This study aimed to investigate the predictive validity of an adaptation of the conventional reserpine model of PD: the repeated low-dose reserpine administration in rodents, which promotes progressive motor impairment in catalepsy, vacuous chewing behavior tests, and...