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H. Ardiyanti, D. Puspitarum, O. F. Maryana, W. A. Pujakesuma
Pág. 197 - 200
This article reports the results synthesis of composite Fe3O4/SiO2 and nanoparticles from natural resources (sugarcane bagasse). The synthesis of Fe3O4 and SiO2 nanoparticles used co-precipitation and sol-gel methods with SiO2 from sugarcane bagasse as a...
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Pinar Mert Cuce, Erdem Cuce and Saffa Riffat
The construction sector, including in developed countries, plays a notable part in the overall energy consumption worldwide, being responsible for 40% of it. In addition to this, heating, ventilating and air-conditioning (HVAC) systems constitute the lar...
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Junan Lin, Qianqian Liu, Yang Song, Jiting Liu, Yixue Yin and Nathan S. Hall
The accurate forecast of algal blooms can provide helpful information for water resource management. However, the complex relationship between environmental variables and blooms makes the forecast challenging. In this study, we build a pipeline incorpora...
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Niclene Ponce Rodrigues de Oliveira, Edna Maria Bonfim-Silva, Tonny José Araújo da Silva, Patrícia Ferreira da Silva, Rosana Andréia da Silva Rocha, Luana Aparecida Menegaz Meneghetti, Alisson Silva Costa Custódio, Salomão Lima Guimarães, Thiago Franco Duarte and Marcio Koetz
Fertilization management is essential for forage production. However, excessive use of synthetic fertilizers causes environmental imbalances. An alternative to reduce these effects is to seek alternative fertilizers, such as wood ash produced from agro-i...
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Rutger W. A. Siemes, Trang Minh Duong, Pim W. J. M. Willemsen, Bas W. Borsje and Suzanne J. M. H. Hulscher
Estuaries are continuously adapting to anthropogenic pressure. Because of sea-level rise and reduced fluvial sediment supply, they are at risk of sediment starvation. Contrarily, some estuaries require frequent dredging after artificially deepening the c...
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Xinze Yang, Chunkai Zhang, Yizhi Sun, Kairui Pang, Luru Jing, Shiyun Wa and Chunli Lv
This research primarily explores the application of Natural Language Processing (NLP) technology in precision financial fraud detection, with a particular focus on the implementation and optimization of the FinChain-BERT model. Firstly, the FinChain-BERT...
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Diana Sari, Wa Ode Zusnita, R. Ghifari Ramadhana Agueni, Tri Febrianti
Pág. 143 - 150
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Larisa Nazarova, Liudmila Syrykh, Ivan Grekov, Tatiana Sapelko, Andrey B. Krasheninnikov and Nadia Solovieva
Northwestern Russia remains the only region in Northern Eurasia where no regional chironomid-based inference model for quantitative palaeoclimatic reconstructions has been developed. Using palaeolimnological methods, we investigated the subfossil chirono...
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Yijun Shao, Kaitlin Todd, Andrew Shutes-David, Steven P. Millard, Karl Brown, Amy Thomas, Kathryn Chen, Katherine Wilson, Qing T. Zeng and Debby W. Tsuang
The application of natural language processing and machine learning (ML) in electronic health records (EHRs) may help reduce dementia underdiagnosis, but models that are not designed to reflect minority populations may instead perpetuate underdiagnosis. ...
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Lexin Zhang, Ruihan Wang, Zhuoyuan Li, Jiaxun Li, Yichen Ge, Shiyun Wa, Sirui Huang and Chunli Lv
This research introduces a novel high-accuracy time-series forecasting method, namely the Time Neural Network (TNN), which is based on a kernel filter and time attention mechanism. Taking into account the complex characteristics of time-series data, such...
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