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Wesang?ula Salome Nang?oni, Appolonius Shitiabai Kembu
Pág. 46 - 55
AbstractKenya?s social-economic development blueprint as anchored by vision 2030 envisages growth in the public sector as the hub to its realization. The sector?s infrastructure industry is to quadruple its contribution to GDP. In line with this concern,...
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Mekjell Meland, Oddmund Frøynes, Milica Fotiric Ak?ic, Naris Pojskic, Belma Kalamujic Stroil, Merima Miralem, Almira Konjic and Fuad Gasi
In order to ensure the long-term sustainability of the conservation process of Norwegian plum germplasm, as well as to enhance the possibility of its utilization, a central plum heritage cultivar collection was established in 2020. In this study, 40 plum...
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María Isabel López-Román, Lucía De la Rosa, Teresa Marcos-Prado and Elena Ramírez-Parra
Legumes play an essential role in sustainable agriculture due to their ability to fix nitrogen and high protein content. Vicia is a relevant genus of the Fabaceae family that includes important crop species, such as V. faba and V. sativa, but also other ...
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Jiale Qian, Yunyan Du, Fuyuan Liang, Jiawei Yi, Nan Wang, Wenna Tu, Sheng Huang, Tao Pei and Ting Ma
Understanding the public?s diverse linguistic expressions about rainfall and flood provides a basis for flood disaster studies and enhances linguistic and cultural awareness. However, existing research tends to overlook linguistic complexity, potentially...
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Xiaokai Sun, Baoyun Guo, Cailin Li, Na Sun, Yue Wang and Yukai Yao
In urban point cloud scenarios, due to the diversity of different feature types, it becomes a primary challenge to effectively obtain point clouds of building categories from urban point clouds. Therefore, this paper proposes the Enhanced Local Feature A...
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Jiaxuan E, Bo Xia, Qing Chen, Laurie Buys, Connie Susilawati and Lindy Osborne Burton
Through a case study on Bribie Island in Queensland, Australia, this study investigates Naturally Occurring Retirement Communities (NORCs) as a viable alternative for ageing-in-place. Aim: The objectives were to investigate why older adults relocate to B...
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Ruicheng Gao, Zhancai Dong, Yuqi Wang, Zhuowen Cui, Muyang Ye, Bowen Dong, Yuchun Lu, Xuaner Wang, Yihong Song and Shuo Yan
In this study, a deep-learning-based intelligent detection model was designed and implemented to rapidly detect cotton pests and diseases. The model integrates cutting-edge Transformer technology and knowledge graphs, effectively enhancing pest and disea...
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Luis Zuloaga-Rotta, Rubén Borja-Rosales, Mirko Jerber Rodríguez Mallma, David Mauricio and Nelson Maculan
The forecasting of presidential election results (PERs) is a very complex problem due to the diversity of electoral factors and the uncertainty involved. The use of a hybrid approach composed of techniques such as machine learning (ML) and Simulation in ...
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Nicollas Rodrigues de Oliveira, Yago de Rezende dos Santos, Ana Carolina Rocha Mendes, Guilherme Nunes Nasseh Barbosa, Marcela Tuler de Oliveira, Rafael Valle, Dianne Scherly Varela Medeiros and Diogo M. F. Mattos
The COVID-19 pandemic has highlighted the necessity for agile health services that enable reliable and secure information exchange, but achieving proper, private, and secure sharing of EMRs remains a challenge due to diverse data formats and fragmented r...
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Jin Ren, Xinrui Chen, Lefeng Shi, Ping Liu and Zhixiong Tan
This study conducts a comprehensive analysis of China?s digital village construction, emphasizing its role in rural organizational governance, from bureaucracies to self-governance bodies to market forces and social organizations. Utilizing sample data f...
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