•An artificial Jellyfish Search (JS) optimizer inspired by jellyfish behavior is proposed.•JS has only two control parameters, which are population size and number of iterations.•The new algorithm is ...successfully tested on benchmark functions and optimization problems.•JS optimizer outperforms well-known metaheuristic algorithms and prior studies.
This study develops a novel metaheuristic algorithm that is motivated by the behavior of jellyfish in the ocean and is called artificial Jellyfish Search (JS) optimizer. The simulation of the search behavior of jellyfish involves their following the ocean current, their motions inside a jellyfish swarm (active motions and passive motions), a time control mechanism for switching among these movements, and their convergences into jellyfish bloom. JS optimizer is tested using a comprehensive set of mathematical benchmark functions and applied to a series of structural engineering problems. Fifty small/average-scale and twenty-five large-scale functions involving various dimensions were used to validate JS optimizer, which was compared with ten well-known metaheuristic algorithms. JS optimizer was found to outperform those algorithms in solving mathematical benchmark functions. The JS algorithm was then used to solve structural optimization problems, including 25-bar tower design, 52-bar tower design and 582-bar tower design problems. In those cases, JS not only performed best but also required the fewest evaluations of objective functions. Therefore, JS is potentially an excellent metaheuristic algorithm for solving optimization problems.
Abstract
Comparisons over 6 years of three Norwegian fjord populations of the deep-water scyphomedusa Periphylla periphylla are presented. A minor part of the population in Lurefjord is migrating to ...the surface during night, which benefits mating encounters by increasing abundance per unit volume and decreasing the distance between individuals. Simulations using a typical water-column density profile and Stoke’s law show that fertilized eggs released in the surface quickly reach a depth where light is insufficient for visual predators. Consequently, the distribution of the smallest juveniles was strongly skewed towards higher depths in all three fjords studied. Mature females in Sognefjord were 4–5 times less abundant than in Lurefjord and Halsafjord, but due to a larger size and strong exponential relationship between size and number of mature oocytes, the potential recruitment rate as recruits m−2 year−1 was not much different from the other two fjords. Nevertheless, the observed number of small (<1 cm) juveniles was 18–31 times higher in Sognefjord than in the other two fjords, and it is assumed that the deeper habitat (up to 1300 m) compared to the other fjords (up to 440 and 530 m) is a superior habitat for the early development of P. periphylla.
Jellyfish venom can cause the mass mortality fish and induces apoptosis of many types of cells; therefore, we speculated that the venom might be able to induces apoptosis in fish. To further ...understand the mechanism, we cultured Larimichthys crocea with Rhopilema esculentum and performed transcriptome analysis of liver, heart, and kidney of the fish. According to KEGG analysis, we selected certain apoptosis-related pathways, such as the P53 signaling pathway and apoptosis, and analyzed the apoptosis-relatedrelated DEGs in these pathways in the three tissues using quantitative real-time reverse transcription PCR. PIG3, CTSL, CytC, AP1 and Gadd45a were all upregulated in three tissues; whereas Mdm4 was downregulated in heart tissues. Then, we treated HEK 293 T cells with jellyfish venom and knocked down the expression of PIG3 and CTSL using small interfering RNAs (siRNAs). In cells treated with jellyfish venom, cell viability increased significantly after RNAi; P53 and CASP9 were upregulated, but the expression of CASP9 was much higher in the Control-RNAi group (without siRNA). PIG3 and BAX were downregulated in the PIG3-RNA+ (with PIG3 siRNA); CTSL and CYTC were upregulated, but BCL2 was downregulated in the Control-RNAi group. The protein levels of PIG3, CTSL, and CASP9 detected by western blotting showed similar trends to their mRNA expression levels. Thus, the results indicated that jellyfish venom could activate PIGs through the P53-PIG3 pathway to damage lysosomes, which released CTSL to affect mitochondria, leading to the apoptosis in fish. The data increases our understanding of the mechanism of apoptosis induced by jellyfish venom.
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•Jellyfish venom can cause mortality of fish and apoptosis of many model cells.•Apoptosis relating genes were highly expressed in fish treated by jellyfish venom.•RNAi depressed the expression of Cyt C and Casp9 in cell treated by jellyfish venom.•Jellyfish venom could induced apoptosis of fish by PIG3 of P53-PIG3-CTSL pathway.•The data increases understanding of mechanism for cytotoxicity of jellyfish venom.
Jellyfish dermatitis is a common medical problem caused by jellyfish stings. However, there are no targeted and effective medications for their treatment. Here, the biological activity of fucoidan ...for treatment of jellyfish dermatitis was investigated for the first time. 3 mg/mL Fucoidan attenuated the inflammatory effects of Nemopilema nomurai nematocyst venom (NnNV), including dermal toxicity and myotoxicity. Fucoidan may decrease the inflammatory effects of NnNV by downregulating MAPK and NF-κB pathways. This may be attributed to the inhibitory effect of fucoidan on metalloproteinases and phospholipase A2 (PLA2) in NnNV. 3 mg/mL fucoidan reduced the metalloproteinase activity in NnNV from 316.33 ± 20.84 U/mg to 177.33 ± 25.36 U/mg, while the inhibition of PLA2 activity in NnNV by 1 mg/mL fucoidan could reach 37.67 ± 3.42 %. Besides, external application of 3 mg/mL fucoidan can effectively alleviate the symptoms of jellyfish dermatitis. These observations suggest that fucoidan has considerable potential for treatment of jellyfish dermatitis and could be regarded as a novel medicine for jellyfish envenomation. This study provides new ideas for treatment of jellyfish envenomation and suggests evidence for the use of fucoidan in the treatment of jellyfish dermatitis as well as broadens the potential application of fucoidan in clinical practice.
During the past several decades, high numbers of gelatinous Zooplankton species have been reported in many estuarine and coastal ecosystems. Coupled with media-driven public perception, a paradigm ...has evolved in which the global ocean ecosystems are thought to he heading toward being dominated by “nuisance” jellyfish. We question this current paradigm by presenting a broad overview of gelatinous Zooplankton in a historical context to develop the hypothesis that population changes reflect the human-mediated alteration of global ocean ecosystems. To this end, we synthesize information related to the evolutionary context of contemporary gelatinous Zooplankton blooms, the human frame of reference for changes in gelatinous Zooplankton populations, and whether sufficient data are available to have established the paradigm. We conclude that the current paradigm in which it is believed that there has been a global increase in gelatinous Zooplankton is unsubstantiated, and we develop a strategy for addressing the critical questions about long-term, human-related changes in the sea as they relate to gelatinous Zooplankton blooms.
Over the last 50 years there has been an increased frequency and severity of negative impacts affecting marine fishery and aquaculture sectors, which claimed significant economic losses due to the ...interference of stinging gelatinous organisms with daily operational activities. Nevertheless, original scientific information on jellyfish-related incidents, their consequences, and potential preventative and mitigation countermeasures is limited and scattered across gray literature, governmental technical reports, and communication media. A literature scan searching for records of any interactions between jellyfish and the marine fishery/aquaculture sectors was carried out. Out of 553 papers, 90 contained original information, referring to more than 130 cases worldwide of negative impacts of jellyfish on marine fishery/aquaculture over the last century. Calling attention on too often neglected socio-economic and ecological impacts of jellyfish blooms, the purpose of this paper is to review and analyze the most up-to-date research on this subject and to provide a global perspective on the importance of jellyfish impacts and their cascading effects on marine fishery and aquaculture sectors.
•Metalloproteinases of Nemopilema nomurai nematocyst venom (NnNV) may be the main dermal toxicity effector molecules.•Batimastat and EDTA disodium salt can effectively inhibit the inflammatory effect ...of NnNV.•Batimastat and EDTA disodium salt are expected to be effective medicines for jellyfish dermatitis.
Jellyfish dermatitis is a common medical problem in many countries due to the jellyfish envenomation. However, there are no specific and targeted medications for their treatment. Here we investigated the possible therapeutic effects of metalloproteinase inhibitors on the dermal toxicity of Nemopilema nomurai nematocyst venom (NnNV), a giant venomous jellyfish from China, using the jellyfish dermatitis model, focusing on inflammatory effector molecules during jellyfish envenomation. Metalloproteinase may further stimulate inflammation by promoting oxidative stress in the organism and play key roles by activating MAPK and NF-κB, in the pathogenesis of jellyfish dermatitis. And the metalloproteinase inhibitors batimastat and EDTA disodium salt may treat the Jellyfish dermatitis by inhibiting the metalloproteinase activity in NnNV. These observations suggest that the metalloproteinase components of NnNV make a considerable contribution to dermal toxicity as the inflammation effect molecular, and metalloproteinase inhibitors can be regarded as novel therapeutic medicines in jellyfish envenomation. This study contributes to understanding the mechanism of jellyfish dermatitis and suggests new targets and ideas for the treatment of jellyfish envenomation.
Venom geographical variation is common among venomous animals. This phenomenon presents problems in the development of clinical treatments and medicines against envenomation. The venomous giant ...jellyfish Nemopilema nomurai, Scyphozoan, is a blooming jellyfish species in the Yellow Sea and the East China Sea that causes numerous jellyfish sting cases every year. Metalloprotease and phospholipase A2 (PLA2) are the main components in Nemopilema nomurai venom and may activate many toxicities, such as hemolysis, inflammation and lethality. Geographical variation in the content and activity of these enzymes may cause different symptoms and therapeutic problems. For the first time, we verified metalloprotease and PLA2 geographical variation in Nemopilema nomurai venom by performing a comparative analysis of 31 venom samples by SDS-PAGE, analyzing protease zymography, enzymatic activity, and drawing contour maps. Band locations and intensities of SDS-PAGE and protease zymograms showed geographical differences. The enzymatic activities of both metalloprotease and PLA2 showed a trend of geographic regularity. The distribution patterns of these activities are directly shown in contour maps. Metalloproteinase activity was lower near the coast. PLA2-like activity was lower in the Southern Yellow Sea. We surmised that metalloproteinase and PLA2-like activities might be related to venom ontogeny and species abundance respectively, and influenced by similar environmental factors. This study provides a theoretical basis for further ecological and medical studies of Nemopilema nomurai jellyfish venom.
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•Nemopilema nomurai nematocyst venom (NnNV) geographical variation were verified.•NnNV metalloproteinase (MP) activity was lower near the coast.•NnNV PLA2 activity was lower in Southern Yellow Sea.•MP and PLA2 activities might be related to ontogeny and abundance respectively.
Wastewater treatment plants (WWTPs) are a focal point for the removal of microplastic (MP) particles before they are discharged into aquatic environments. WWTPs are capable of removing substantial ...quantities of larger MP particles but are inefficient in removing particles with any one dimension of less than 100 μm, with influents and effluents tending to have similar quantities of these smaller particles. As a single WWTP may release >100 billion MP particles annually, collectively WWTPs are significant contributors to the problem of MP pollution of global surface waters. Currently, there are no policies or regulations requiring the removal of MPs during wastewater treatment, but as concern about MP pollution grows, the potential for wastewater technologies to capture particles before they reach surface waters has begun to attract attention. There are promising technologies in various stages of development that may improve the removal of MP particles from wastewater. Better incentivization could speed up the research, development and adoption of innovative practices. This paper describes the current state of knowledge regarding MPs, wastewater and relevant policies that could influence the development and deployment of new technologies within WWTPs. We review existing technologies for capturing very small MP particles and examine new developments that may have the potential to overcome the shortcomings of existing methods. The types of collaborations needed to encourage and incentivize innovation within the wastewater sector are also discussed, specifically strong partnerships among scientific and engineering researchers, industry stakeholders, and policy decision makers.
•Despite high capture efficiency, treated wastewater is a source of microplastics.•Residual MP removal from treated wastewater is still at the experimental stage.•Innovation to enhance MP removal needs policy and regulation incentives.•Global governance frameworks for MP pollution are fragmented and uncoordinated.
The increased growth of various communication systems and computing technology enhanced the growth of regular and online transactions through credit cards. Similarly, it has also dramatically ...increased the frequency of fraudulent transactions, which significantly affects various organizations. Hence, it is necessary to implement precise techniques for secure transactions and the detection of certain credit card fraud transactions. In this investigation, a hybrid algorithmic optimization-based deep learning technique is designed. The Jellyfish Namib Beetle Optimization Algorithm-SpinalNet (JNBO-SpinalNet) is designed for fraudulent credit card transaction detection. The pre-processing of input data using quantile normalization is performed and the features are selected using various distance measures. The selected features are augmented using Bootstrapping method and SpinalNet is finally allowed to detect credit card frauds. The detection process in the classifier is improved by tuning the SpinalNet with the help of the designed JNBO model. The superiority of the designed fraudulent transaction detection method is estimated by using different evaluation parameters. The JNBO-SpinalNet model recorded higher performance with 89.10 % accuracy, 13.16 % loss function, 28.68 % Mean Square Error (MSE), 10.20 % False Positive Rate (FPR), 89.82 %, Mean Average Precision (MAP), and 53.56 % Root Mean Square Error (RMSE).
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