Spatial distribution and source apportionment of nitrogen in typical plain river networks and bacterial community response by Aiju You, Aiju You, Qiaoxi Zheng, Pengcheng Yao, Pengcheng Yao

“…Notably, Malikia species with nitrate-reducing capabilities were significantly more abundant in the industrially pollution area compared to the other pollution areas.DiscussionThe diversity of nitrogen types characteristic of the domestic pollution area mediated bacterial selection pressures, favoring nitrogen cycling and amplifying functional gene abundance. …”
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Optimal planning of integrated nuclear-hybrid renewable energy systems for electrical distribution networks based on artificial intelligence by Samira M. Nassar, A. A. Saleh, Ayman A. Eisa, E. M. Abdallah, Ibrahim A. Nassar

“…In this study, mathematical models for various Hybrid Energy Systems (HES) are developed using both single and multi-objective functions. Active Power Loss (APL) is selected as the first single-objective fitness function, while the total Net Present Cost (NPC) serves as the second. …”
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Research and Design of an Active Light Source System for UAVs Based on Light Intensity Matching Model by Rui Ming, Tao Wu, Zhiyan Zhou, Haibo Luo, Shahbaz Gul Hassan

“…Furthermore, optimization experiments are conducted on the variable active light source module. By comparing the recognition effects of the variable active light source module under different parameters, the best configuration is selected. …”
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Improved YOLO for long range detection of small drones by Sicheng Zhou, Lei Yang, Huiting Liu, Chongqin Zhou, Jiacheng Liu, Yang Wang, Shuai Zhao, Keyi Wang

“…Abstract The timely and accurate detection of unidentified drones is crucial for public safety. …”
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Applicability and Design Considerations of Chaotic and Quantum Entropy Sources for Random Number Generation in IoT Devices by Wieslaw Marszalek, Michał Melosik, Mariusz Naumowicz, Przemysław Głowacki

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Journalism in history, history in journalism: A historiographical critique of the newspaper as a source material for research by Marvin R. Soriano

“…The study highlights the methodological challenges in using newspapers as sources, such as editorial bias, selective reporting, and the political economy of print media. …”
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Grape Seed Powders as a Source of Phenolic Compounds: UHPLC Orbitrap MS4 Characterization by Danijel D. Milinčić, Uroš Gašić, Aleksandar Ž. Kostić, Slađana P. Stanojević, Živoslav Lj. Tešić, Mirjana B. Pešić

“…Grape seeds represent a rich source of phenolic compounds that exhibit various health benefits. …”
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Municipal secondary-treated effluent data seem to be a suitable source of information for human viral trends by Elsa T. Rodrigues, Joana M. Oliveira, Anália Carmo, Miguel A. Pardal, Ana M. Matos

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Detection and tracking of mask wearing based on deep learning by Wang Lin, Nan Gaigai

“…In order to reduce the consumption of a large number of human resources in manual inspection of mask wearing, this paper proposes a method of mask wearing detection and tracking based on deep learning, which is divided into two modules: detection and tracking. …”
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The Impact of Servant Leadership on Employee Career Success in Selected Sub-Saharan African Countries by Jean Claude Kanyabwira, Portia Bilankulu

“…We tested our model using a sample of 610 leaders across 18 industries and 21 job functions who participated in a leadership development program in selected Sub-Saharan African countries. …”
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The functions of religion and science in utopian thinking in the middle ages and the early modern period by Hope Steffen

“…The selection of sources includes both widely-known utopian texts and materials that are rarely used in discussions of utopian thinking. …”
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Estimation of carbon sequestration capacity of urban green infrastructure by fusing multi-source remote sensing data by Jiahui Chang, Zhenfeng Shao, Jinyang Wang, Zhu Mao, Tao Cheng, Xiaodi Xu, Qingwei Zhuang

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Near extinction of the HBV quasispecies driven by the hard selective sweep in chronic hepatitis B by Daiqiang Lu, Andong He, Guichan Liao, Renyu Zhou, Zichun Cheng, Ka Cheuk Yip, Xiufang Wang, Wei Cao, Jiaojiao Peng, Ruiman Li, Jie Peng, Feng Gao

“…The nearly identical viral population suggests that all these viruses are from a single source. Predominant mutations were identified in known T cell epitopes but not in epitopes for neutralizing antibodies, indicating that the hard selective sweep is most likely driven by T cell selection pressure. …”
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Topology Optimization of the Network with Renewable Energy Sources Generation Based on a Modified Adapted Genetic Algorithm by A. M. Bramm, A. I. Khalyasmaa, S. A. Eroshenko, P. V. Matrenin, N. A. Papkova, D. A. Sekatski

“…The proposed genetic algorithm used two different functions of interbreeding, the function of mutation, selection of the best individuals and mass mutation (complete population renewal). …”
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Machine Learning and Feature Selection-Enabled Optimized Technique for Heart Disease Classification and Prediction by P. Nancy, Prasad Raghunath Mutkule, Kalpana Sunil Thakre, Ajay S. Ladkat, S.B.G. Tilak Babu, Sunil L. Bangare, Mohd Naved

“…It comes as no surprise that cardiovascular disease is a leading source of morbidity and death in contemporary society. …”
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Myeloma mesenchymal stem cells’ bioenergetics afford a novel selective therapeutic target by Oded Komemi, Elina Orbuch, Osnat Jarchowsky-Dolberg, Yaron Shraga Brin, Shelly Tartakover-Matalon, Metsada Pasmanik-Chor, Michael Lishner, Liat Drucker

“…Fission/fusion dynamics regulate mitochondria function. Proteomics demonstrates excessive mitochondrial processes in BM-MSCs from MM patients compared to normal donors (ND). …”
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Change Detection Network Based on Transformer and Transfer Learning by Hua Li, Jingyu Li, Guanghao Luo, Liang Zhou, Hao Wu, Zhangcai Yin

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Electrochemical microfluidic biosensor for the detection of CD4+ T cells by Katarzyna Białas, Hui Min Tay, Chayakorn Petchakup, Razieh Salimian, Stephen G. Ward, Mark A. Lindsay, Han Wei Hou, Pedro Estrela

“…This work presents an innovative electrochemical microfluidic device that, with further development, could be applied for HIV management in low resource settings. The setup integrates an electrochemical sensor within a PDMS microfluidic structure, allowing for on-chip electrode functionalization and cell detection. …”
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Deep learning-enhanced signal detection for communication systems. by Yang Liu, Peng Liu, Yu Shi, Xue Hao

“…In resource consumption assessment, the detection speed of this model reached 120 signals/s, with an average latency of 50 ms. …”
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Lightweight UAV Detection Method Based on IASL-YOLO by Huaiyu Yang, Bo Liang, Song Feng, Ji Jiang, Ao Fang, Chunyun Li

“…The widespread application of drone technology has raised security concerns, as unauthorized drones can lead to illegal intrusions and privacy breaches. Traditional detection methods often fall short in balancing performance and lightweight design, making them unsuitable for resource-constrained scenarios. …”
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