Analysis of differential metabolites in Liuyang douchi at different fermentation stages based on untargeted metabolomics approach by Liwen Jiang, Yi Chen, Tiantian Zhao, Pao Li, Luyan Liao, Yang Liu

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MUFFNet: lightweight dynamic underwater image enhancement network based on multi-scale frequency by Dechuan Kong, Dechuan Kong, Yandi Zhang, Xiaohu Zhao, Yanqiang Wang, Lei Cai

“…The network introduces a frequency-domain-based convolutional attention mechanism to extract spatial information effectively. A Multi-Scale Enhancement Prior algorithm enhances high-frequency and low-frequency features while the Information Flow Interaction module mitigates information stratification and blockage. …”
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Antibacterial mechanism of Lactiplantibacillus plantarum SHY96 cell-free supernatant against Listeria monocytogenes revealed by metabolomics and potential application on chicken br... by Ming Liang, Hongwei Wang, Zhaoquan Zhou, Yechuan Huang, Huayi Suo

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Entrepreneurial strategies for sustainable growth: a deep dive into cloud-native technology and its applications by T. A. Alka, Aswathy Sreenivasan, M. Suresh

“…Abstract The study highlights the impact of cloud-native technology in entrepreneurship for innovative business models, scalability, and cost efficiency by combining the trends including microservices, serverless computing, and technology disruptions. …”
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Breast cancer classification based on hybrid CNN with LSTM model by Mourad Kaddes, Yasser M. Ayid, Ahmed M. Elshewey, Yasser Fouad

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A method of EEG signal feature extraction based on hybrid DWT and EMD by Xiaozhong Geng, Linen Wang, Ping Yu, Weixin Hu, Qipeng Liang, Xintong Zhang, Cheng Chen, Xi Zhang

“…The fusion method can remove noise artifacts while preserving effective information. Aiming at the problems of poor time-frequency resolution and low classification accuracy of the traditional feature extraction method, a feature extraction algorithm on the basis of hybrid Discrete Wavelet Transform (DWT) and Empirical Mode Decomposition (EMD) is proposed. …”
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Exploring the characteristics of kombucha tea fermented with soursop (Annona muricata), Noni (Morinda citrifolia) and pineapple (Ananas comosus) by Azizan Muhammad Adib, Qadir Rahman, Zakaria Mizatul Athila, Mohsin Aliah Zannierah, Meor Hussin Anis Shobirin

“…Regarding color, the L, a, and b values of infused kombucha drinks were significantly different (p<0.05) from simple kombucha tea. …”
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Investigasi Hambatan dan Tantangan Penerapan Sistem Informasi Manajemen di Rumah Sakit by Malahayati Malahayati, Dedy Syamsuar

“…This study aims to determine the constraints and challenges of implementing the hospital management information system (HMIS). This research is a qualitative research to explore in depth the problems that hinder the application of hospital management information system to the object of research. …”
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Prediction of Claim Fund Reserves in Insurance Companies Using the ARIMA Method by Goenawan Brotosaputro, Yohanes Setiawan Japriadi, Wiwin Windihastuty, Rivai Ahsani

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The protective role of carotenoids in chronic obstructive pulmonary disease: A systematic review and Meta-analysis of observational studies by Jing Sui, Wenbin Shen, Yanni Zhang, Jiarui Liang, Hui Xia, Guiju Sun

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E-Book Mobile Application: A Case of Kabale University Mukombe Library, Uganda by Clare, Ninsiima, Patricia, Kyomugisha

“…The use of existing information from the library helped to develop a model to predict the E-book application and testing of the application using Android smartphones. …”
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Access to Finance and Performance of Small and Medium Enterprises in Uganda: A Case of Selected Smes in Kabale Municipality by Esperance, Nyiratebuka

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2020-2021 Economic Contributions of the Florida Citrus Industry by Julio Cruz, João Pedro Ferreira, Christa Court, Kelsey McDaid

“…Additional details on the data sources, methodologies, and results are published in the most recent report on the economic contributions of the citrus industry in Florida from the University of Florida, Institute of Food and Agricultural Sciences (UF/IFAS) Economic Impact Analysis Program. This information is intended to be used in support of informed decision making related to the citrus industry. …”
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Retraction notice: Modelling demand response in smart microgrid with techno and economic objective functions and improvement of network efficiency by Wang Xuan, Zhang Xiaofeng, Zhou Feng, Xu Xiang, Allathadka H.P.

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Economic evolution, identity dynamics and cultural science by Potts Jason

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2014 Cool-Season Forage Variety Recommendations for Florida by Ann R. Blount, Joao M. B. Vendramini, Jose C. B. Dubeux, Md. A. Babar, Kevin E. Kenworthy, Patricio R. Muñoz, Kenneth H. Quesenberry

“… This revised 4-page fact sheet provides the most up-to-date information on current adapted varieties of cool-season forages. …”
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2014 Cool-Season Forage Variety Recommendations for Florida by Ann R. Blount, Joao M. B. Vendramini, Jose C. B. Dubeux, Md. A. Babar, Kevin E. Kenworthy, Patricio R. Muñoz, Kenneth H. Quesenberry

“… This revised 4-page fact sheet provides the most up-to-date information on current adapted varieties of cool-season forages. …”
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Screen of propionate-producing probiotic strains in attenuating murine colitis by modulating immune response and restoring the intestinal barrier by Ting Shu, Xizi Song, Silu Zhang, Xiaoli Zhou, Zhizhu Zhang, Pengfei Wang, Hu Canying, Jie Pan, Xiaoshuang Dai, Yan Tan, Wu Xiyang, Huicui Meng, Guoxun Xiao, Huaijie Hao

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Peningkatan Akurasi Klasifikasi Algoritma C 4.5 Menggunakan Teknik Bagging pada Diagnosis Penyakit Jantung by Erwin Prasetyo, Budi Prasetiyo

“…Abstract The quick development of technology makes the need for information increase, so that the accuracy of the information becomes a very important thing, especially the accuracy of the information needed in predicting diseases in the medical field. …”
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An Efficient and Hybrid Deep Learning-Driven Model to Enhance Security and Performance of Healthcare Internet of Things by Muhammad Babar, Muhammad Usman Tariq, Basit Qureshi, Zabeeh Ullah, Fahim Arif, Zahid Khan

“…Third, the past medical records of the patients are used to train the DL model. It then makes an informed decision about whether to send the data to the fog layer. …”
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