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Titlebook: Marine Pollution and Microbial Remediation; Milind Mohan Naik,Santosh Kumar Dubey Book 2017 Springer Science+Business Media Singapore 2017

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樓主: Coenzyme
31#
發(fā)表于 2025-3-27 00:46:19 | 只看該作者
32#
發(fā)表于 2025-3-27 01:22:17 | 只看該作者
Selenium Pollution in the Marine Environment and Marine Bacteria in Selenium Bioremediation, the soluble forms of Se, selenite is more toxic than selenate to most living organisms. Selenium pollution is a global phenomenon and is associated with a wide range of human activities, from basic agricultural practices to the modern industrial processes that increase the threat of widespread impa
33#
發(fā)表于 2025-3-27 06:28:25 | 只看該作者
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發(fā)表于 2025-3-27 10:38:38 | 只看該作者
,Global Concerns of Ship’s Ballast Water Mediated Translocation of Bacteria,ely taken aboard vessels to maintain their stability. The ballast water contains different nonindigenous species (NIS) that include bacteria, microscopic algae, virus, invertebrates, vertebrates, plants, etc. The movements of cargo ships between the continents and along the coastlines have facilitat
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發(fā)表于 2025-3-27 16:44:58 | 只看該作者
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發(fā)表于 2025-3-27 21:14:25 | 只看該作者
deep reaction-diffusion model that leverages the capital of deep learning and insights into systems biology, which allows us to (1) enhance the prediction accuracy of developing AD and (2) uncover the latent control mechanism of A.-tau interactions. We have evaluated our novel explainable deep mode
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發(fā)表于 2025-3-27 23:21:18 | 只看該作者
38#
發(fā)表于 2025-3-28 05:15:58 | 只看該作者
Savita Kerkar,Kirti Ranjan Dass of cardiac structures from different views. Furthermore, we collect a multi-view echocardiogram video dataset (MvEVD) to evaluate our method. Our method achieves an 82.29% average dice score, which demonstrates a 7.83% improvement over the baseline method, and outperforms other existing state-of-t
39#
發(fā)表于 2025-3-28 08:50:33 | 只看該作者
Milind M. Naik,S. K. Dubeyloser to those of clean data, which is based on a small set of precisely annotated images. To facilitate the meta-learning process, we additionally introduce a consistency-based Pseudo Label Enhancement (PLE) scheme that improves the quality of the model’s own predictions by ensembling predictions f
40#
發(fā)表于 2025-3-28 13:23:46 | 只看該作者
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