The genetic basis of nitrogen-dependent root system architecture in plants by Xiujie LIU, Chengcai CHU, Kai HUANG

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Expression Profiles of Housekeeping Genes and Tissue-Specific Genes in Different Tissues of Chinese Sturgeon (<i>Acipenser sinensis</i>) by Yanping Li, Yunyun Lv, Peilin Cheng, Ying Jiang, Cao Deng, Yongming Wang, Zhengyong Wen, Jiang Xie, Jieming Chen, Qiong Shi, Hao Du

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Exploring the relationship between dietary rapeseed meal, condensed tannin and growth, nutrive metabolism in largemouth bass (Micropterus salmoides) by Peng Kang, Xiaoshuang Xia, Ying Hang, Xueming Hua

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Stand structure of tropical forests is strongly associated with primary productivity by Wenmin Zhang, Yanbiao Xi, Martin Brandt, Chunying Ren, Jialing Bai, Qin Ma, Rasmus Fensholt

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Enhancing direct carbonation performance of basic oxygen furnace slag through potassium chloride activation by Rong SUN, Weicheng XU, Hongming LONG, Rufei WEI

“…The use of steel slag to capture and sequester CO2 is an effective method for coupling solid waste resource utilization with carbon emission reduction. …”
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Research Progress of Bioactive Peptides in Improving Type II Diabetes by Jiaxin Yu, Guoxing Chen, Yan Jin, Min Zhang, Tao Wu

“…These peptides also contribute to the enhancement of pancreatic islet function, lowering systemic inflammation by influencing various molecular signaling pathways. …”
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Secondary metabolites as biostimulants in salt stressed plants: mechanisms of oxidative defense and signal transduction by Muhammad Ikram, Burhan Khalid, Maria Batool, Maaz Ullah, Jiang Zitong, Abdul Rauf, Muhammad Junaid Rao, Haseeb Ur Rehman, Jie Kuai, Zhenghua Xu, Jie Zhao, Jing Wang, Guangsheng Zhou, Bo Wang

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Overexpression of <i>MdNRT2.4</i> Improved Low-Nitrogen Tolerance in Transgenic Tobacco Lines by Junrong Li, Ke Liu, Chunqiong Shang, Qiandong Hou, Xiangmei Nie, Qinglong Dong, Dong Huang, Qian Wang

“…In this study, we investigated the potential function of <i>MdNRT2.4</i> under low-nitrogen (N) stress by overexpressing it in tobacco. …”
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Integration of artificial intelligence and advanced optimization techniques for continuous gas lift under restricted gas supply: A case study by Leila Zeinolabedini, Forough Ameli, Abdolhossein Hemmati-Sarapardeh

“…To this end, 154 data points constructed by a central composite design (CCD) experiment were utilized to develop neural network models. Therefore, four robust models, including multilayer perceptron (MLP), radial basis function (RBF), general regression neural network (GRNN), and cascade forward neural network (CFNN), were implemented for modeling. …”
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Geographic Distribution Pattern Determines Soil Microbial Community Assembly Process in <i>Acanthopanax senticosus</i> Rhizosphere Soil by Mingyu Wang, Xiangyu Xing, Youjia Zhang, Xin Sui, Chunying Zheng

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Exploring National Trends in Bladder-Related Urological Procedures: A Nationwide Population-Based Cohort Study by Hyosang Kwon, Wonjong Yang, Sangyong Park, Heesub Lee, Jong Keun Kim, Jun Hyun Han

“…The 72-hour voiding function test, which started in 2017, also demonstrated a positive trend in frequency. …”
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A review of water-based suppressants for coal dust suppression by Fangwei Han, Mei Liu, Fuhong Hu, Guirui Niu, Diandian Xue, Yue Zhao, Shengyong Hu, Hetang Wang

“…Abstract The large amount of harmful particles in coal dust not only pollutes the production environment, affects the production efficiency and resource utilization of enterprises, but also poses a risk to human health. …”
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Macroscopic-Level Collaborative Optimization Framework for IADS: Multiple-Route Terminal Maneuvering Area Scheduling Problem by Chaoyu Xia, Minghua Hu, Xiuying Zhu, Yi Wen, Junqing Wu, Changbo Hou

“…Numerical analyses confirm the superiority of the proposed models, which are expected to reduce aircraft delays, shorten airborne and holding times, and improve airspace resource utilization. This study provides intelligent decision support and engineering design ideas for the macroscopic-level collaborative optimization framework of the Integrated Arrival–Departure and Surface (IADS) system.…”
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Sustainable power solutions for next-generation medical devices by Ye Liang, Chi Zhang, Rubing Lin, Junqing Lin, Jishizhan Chen

“…Each technique is evaluated for its potential to provide a sustainable power source for IMDs and wearables, highlighting distinctive advantages such as dual functionality, enhanced penetration capabilities, access to inexhaustible energy reservoirs from bodily movements, and the biochemical conversion of glucose into electrical energy. …”
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Teredinibacter turnerae secretome highlights key enzymes for plant cell wall degradation by Lyle Ijssel P. De Guzman, Renato C. Carpina, Joan Catherine A. Chua, Eizadora T. Yu

“…Our results show that T. turnerae E7MBN exhibits minimal enzyme secretion across various carbon sources, where secretomes mostly display similar functional profiles. …”
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Mathematical Modelling Approaches for Integrated Single Machine Scheduling and Electric Vehicle Routing Problem by İclal Bağcı, Hande Öztop, Zeynel Abidin Çil

“…In recent years, increasingCO2 emissions and resource utilization has adversely affected the environment. …”
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Reducing dependence of modeled resuspended volcanic ash on meteorological grid resolution by Alice M. Crawford, Christopher P. Loughner, Daniel Q. Tong, Ariel F. Stein

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Involvement of Anion-Specific Effects in Changes in the Gelation and Thermodynamic Properties of Calcium Alginate Hydrogel by Yuqiao Wang, Lin Li, Jiacheng Liu, Jianan Yan, Ce Wang, Bin Lai, Yu Dong, Haitao Wu

“…This study highlights the importance of anion-specific effects on the properties of alginate hydrogels and provides insights into the utilization of these effects to fabricate functional hydrogels with variable properties.…”
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Distributed adaptive event‐triggered fault‐tolerant cooperative control of multiple UAVs and UGVs under DoS attacks by Shangkun Liu, Bin Jiang, Zehui Mao, Youmin Zhang

“…It is proven that the tracking errors are uniformly ultimately bounded by utilizing the Lyapunov function approach. Furthermore, the Zeno behaviour is excluded with the proposed scheme. …”
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Integration of Deep Learning Neural Networks and Feature-Extracted Approach for Estimating Future Regional Precipitation by Shiu-Shin Lin, Kai-Yang Zhu, He-Yang Huang

“…This study proposes a deep neural network (DNN) as a downscaling framework with nonlinear features extracted by kernel principal component analysis (KPCA). KPCA utilizes kernel functions to extract nonlinear features from the source climatic data, reducing dimensionality and denoising. …”
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