Abstract：
Nanotechnology offers a promising avenue to amplify the effectiveness and precision of using transgenic algae in managing WSSV in shrimp by possibly crafting nano-carriers for targeted therapeutic agent delivery or modifying algae cells at a molecular level. Leveraging the capabilities of nano-scale interventions, this study could explore innovative means to manipulate cellular processes, control biological interactions, and enhance treatment efficacy while minimizing undesirable impacts in aquatic environments. The White Spot Syndrome Virus (WSSV) is a double-stranded DNA virus with a tail and rod form that belongs to theNimaviridaefamily. There is no workable way to manage this illness at the moment. This research proposes a new model based on the Long Short-Term Memory (LSTM) and Spotted Hyena Optimizer (SHO) method to control the inner ear-oral infection, utilizing transgenic algae (Chlamydomonas reinhardtii). It is pretty tricky to modify the weight matrix in LSTM. The output will be more accurate if the weight of the neurons is exact. Histological examinations and nested polymerase chain reaction (PCR) testing were performed on the challenged shrimp every 4 h to assess the degree of white spot disease. The SHO-LSTM has shown the highest accuracy and Roc value (98.12% and 0.93, respectively) and the lowest error values (MSE = 0.182 and MAE = 0.48). The hybrid optimized model improves the overall inner ear-oral linked neurological diseases detection ratio. Additionally, with the slightest technical complexity, it effectively controls the forecast factors required to anticipate the ENT. Algal cells were found to be particularly well-suited for inner ear-oral infections, and shrimps fed a transgenic line had the best survival ratio in WSSV infection studies, with 87% of the shrimp surviving. This shows that using this line would effectively stop the spread of WSSV in shrimp populations.
摘要：
纳米技术提供了一种有希望的途径，可以通过可能制作用于靶向治疗剂递送的纳米载体或在分子水平上修饰藻类细胞来增强使用转基因藻类在虾中管理WSSV的有效性和准确性。利用纳米级干预的能力，这项研究可以探索操纵细胞过程的创新手段，控制生物相互作用，并提高治疗效果，同时最大限度地减少对水生环境的不良影响。白斑综合症病毒（WSSV）是一种双链DNA病毒，具有尾巴和杆状形式，属于Nimaviridaefamily。目前没有可行的方法来控制这种疾病。这项研究提出了一种基于长短期记忆（LSTM）和斑点鬣狗优化（SHO）方法的新模型来控制内耳口腔感染，利用转基因藻类(莱茵衣藻)。在LSTM中修改权重矩阵非常棘手。如果神经元的重量是准确的,则输出将更准确。每4小时对攻击的虾进行组织学检查和巢式聚合酶链反应（PCR）测试，以评估白斑病的程度。SHO-LSTM显示出最高的精度和Roc值（分别为98.12％和0.93）和最低的误差值（MSE=0.182和MAE=0.48）。混合优化模型整体提高了内耳-口腔连锁神经系统疾病的检出率。此外,只要有一点技术复杂性，它有效地控制了预测ENT所需的预测因素。发现藻类细胞特别适合内耳口腔感染，在WSSV感染研究中，饲喂转基因品系的虾具有最佳的存活率，87%的虾存活下来。这表明使用该品系将有效地阻止WSSV在虾群体中的传播。
