Shark smell optimization and deep learning for intracranial aneurysm detection: a model tailored for divers and swimmers

The detection of cerebral aneurysms, particularly among professional divers and swimmers, is crucial due to the high physical demands and pressure changes experienced in these activities. Currently, identifying these "intracranial bombs" is challenging, often leading to subarachnoid hemorrhage with high mortality and disability rates. Clipping surgery and endovascular embolization are the primary treatments, but early detection is vital for effective intervention. This study introduces the Shark Smell Optimization and Deep Learning-Enabled Automated Intracranial Aneurysms (SSODLE-AIA) model, specifically tailored for the aquatic sports community. The SSODLE-AIA model innovatively partitions cerebral aneurysms into uniform blocks, employing an EfficientNet-based feature extractor for generating feature vectors. It uniquely integrates Shark Smell Optimization (SSO) for optimal hyperparameter tuning, enhancing the model's relevance to the diving and swimming domains where sensory acuity is paramount. Furthermore, a Bidirectional Gated Recurrent Unit (BiGRU) model classifies these blocks into two types: smooth and structured. This classification is crucial for divers and swimmers, whose cerebral structures may adapt to their aquatic environments. The identification process includes mean and patch matching for these regions, ensuring high precision in detecting subtle aneurysm-related changes. The SSODLE-AIA model's effectiveness is evaluated using a cerebral aneurysm dataset (AU)

Efficient Degradation of Acesulfame by Ozone/Peroxymonosulfate Advanced Oxidation Process.

Artificial sweeteners (ASWs), a class of emerging contaminants with good water solubility, have attracted much attention recently because of their wide use and negative impact on the aquatic environment and drinking water. Efficient technologies for removing ASWs are in urgent need. This study investigated degradation of typical ASW acesulfame by ozone-activated peroxymonosulfate process (O3/PMS) in prepared and real waters. O3/PMS can degrade >90% acesulfame in prepared water within 15 min at a low dosage of O3 (60 ± 5 µg∙min-1) and PMS (0.4 mM). Ozone, hydroxyl radical (HO•), and sulfate radical (SO4•-) were identified as contributors for ACE degradation and their contribution proportion was 27.1%, 25.4%, and 47.5% respectively. O3/PMS showed the best degradation performance at neutral pH and were sensitive to constituents such as chloride and natural organic matters. The qualitative analysis of degradation products confirmed the involvement of hydroxyl radical and sulfate radical and figured out that the active sites of ACE were the C=C bond, ether bond, and C-N bond. The electrical energy per order ACE degradation were calculated to be 4.6 kWh/m3. Our findings indicate that O3 is an efficient PMS activator and O3/PMS is promising due to its characteristic of tunable O3-HO• SO4•- ternary oxidant involving.