General Formulas and Program Design for Manifold Method Based on Independent Covers Ⅰ:General Formulas by SU Hai-dong

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A Big Data Approach for the Regional-Scale Spatial Pattern Analysis of Amazonian Palm Locations by Matthew J. Drouillard, Anthony R. Cummings

“…<i>Arecaceae</i> (palms) are an important resource for indigenous communities as well as fauna populations across Amazonia. …”
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Β-FeOOH modified polyurethane foam for efficient adsorption of arsenite and arsenate from contaminated water by Qiang Li, Yifan Yao, Yingying Tang, Jinsheng Huang, Mei He, Wei Zhang

“…The increase in the concentrations of Cl−, SO42−, HCO3−, NO3−, and PO43− will compete for adsorption sites, change surface charge density, and significantly hinder the adsorption of As(V) by β-FeOOH-PUF. β-FeOOH-PUF can be regenerated under H2O, acidic, and alkaline conditions, offering a novel approach to treat inorganic As-contaminated water sources. Therefore, due to its abundant FeO functional groups, substantial SSA, and recyclability, β-FeOOH-PUF emerges as a highly promising adsorbent for inorganic As(III) and As(V) removal.…”
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Pyrolysis Characteristics and Kinetic Analysis of Sediment from the Dianchi Lake in China by Zhenfen Wu, Huilong Luo

“…The results could provide theoretical basis for harmless treatment and resource utilization of lake sediment.…”
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The Effect of Working Capital on Investment: Evidence from the Tehran Stock Exchange by Ali Ebrahimnejad, Ali Zakizade, Fardin Razmjooei

“…Findings reveal that effective working capital management allows constrained firms to maintain investment continuity, offering novel insights into resource allocation strategies in emerging markets. …”
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Effects of Trichoderma harzianum combined with Phanerochaete chrysosporium on lignin degradation and humification during chicken manure and rice husk composting by Senmao Zhai, Kuang Wang, Fengcun Yu, Zhenlu Gao, Xu Yang, Xiuqing Cao, Hiba Shaghaleh, Yousef Alhaj Hamoud

“…This study confirmed the positive effects of the combination of Trichoderma harzianum and Phanerochaete chrysosporium in enhancing lignin degradation and promoting compost maturity, providing a foundation for a deeper understanding of the mechanisms involved in lignin degradation and humification processes influenced by the fungal community during composting, ultimately contributing to the efficient utilization of agricultural waste resources.…”
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DATA SCIENCE, CANCER AND SEQUENCING ANALYSES by Mehmet Baysan

“…Data science aims to utilize digital data to develop solutions to improve human life. …”
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Social stability risk analysis caused by land acquisition and migration for water conservancy project construction by Feng Li, Xuewan Du, Xin Huang, Huimin Li, Xiaoxia Fei

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Water quality evaluation in Liaoning Province large reservoirs: a new method integrating random forest-TOPSIS and Monte Carlo simulation by Chong Zhang, Mo Chen, Yi Wang

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Rice transcription factors OsNIGT2/3 regulate nitrogen acquisition by repressing OsNRTs and OsAMTs under high-nitrogen conditions by Hongyang Du, Xihan Cong, Xinmin Ruan, Yang Yang, Fuzhi Shi, Yanchang Luo, Zhixiang Luo

“…IntroductionNitrogen is a crucial nutrient for crop growth, yet its utilization efficiency is generally low, leading to resource waste and serious environmental problems. …”
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Genome assembly of an endemic butterfly (Minois aurata) shed light on the genetic mechanisms underlying ecological adaptation to arid valley habitat by Wenqian Hu, Yi Wang, Xiaoxiao Chen, Jialong Huang, Jingge Kuang, Lei Wang, Kangshan Mao, Liang Dou

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The Transformation of Pigment in Fruit Wine, Precise Control of Pigment Formation, and Their Effect on Product Quality by Xiang Tan, Mengfan Ding, Chen Wang, Linhua Huang, Junying Bai

“…In addition, biochemical changes produce a series of chemical derivatives that affect bioavailability and biological functions. This review summarizes the chemical basis, formation process, influencing factors, identification techniques, bioavailability, and bioactivity of fruit wine pigments, providing an important reference for the utilization of fruit resources and the development of high-quality fruit wine products.…”
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Fast detection method for radionuclides based on Sequential Bayesian approach by WAN Linjian, ZHANG Xuan, ZHANG Chunlei, HUANG Jianwei, LIU Jiacheng, ZHANG Xiaole, LI Dehong, YANG Zhijun

“…Based on the principle that the time interval between adjacent two rays was exponential distributed, the decision was caculated by collecting a series of ray time samples in chronological sequence, and decisions were made by comparing the decision function with the preset upper and lower thresholds. …”
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Application of Anionic Hydrogels from Date Palm Waste for Dye Adsorption in Wastewater Treatment by Farid Fadhillah, Abdulrahman G. Alhamzani, Khaled Bin Bandar, Abdullah Alshamari, Saad Aljlil, Abdelrahman G. Gadallah, M. A. Habib, Mortaga M. Abou-Krisha, Mona A. Abdel-Fatah

“…Biogel formation of the CNF suspension was promoted by sonication, where its removal efficiency of methylene blue dye was studied as a function of dye concentration, temperature, contact time, and pH value. …”
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Design and implementation of J2EE-based statement feature recognition in English teaching system optimization by Lina Wang

“…In the performance test of file resource query service with virtual 10–100 users and 20 times submitted by each user, the response time of the system is <1.5 s, the success rate reaches 100 %, and the CPU utilization is also <5 %. …”
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The Multifunctional Catalytic Hemoglobin from <i>Amphitrite ornata</i>: Protocols on Isolation, Taxonomic Identification, Protein Extraction, Purification, and Characterization by Anna L. Husted, Victoria R. Sutton, Lauren A. Presnar, R. Kevin Blackburn, Joseph L. Staton, Stephen A. Borgianini, Edward L. D’Antonio

“…The multifunctional catalytic hemoglobin from the terebellid polychaete <i>Amphitrite ornata</i>, also named dehaloperoxidase (<i>Ao</i>DHP), utilizes the typical oxygen transport function in addition to four observed activities involved in substrate oxidation. …”
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Intrapleural tissue plasminogen activator and deoxyribonuclease in complex pleural effusion and empyema, clinical outcomes, and predictors by Yub Raj Sedhai, Priyanka Bhat, Roshan Acharya, Nada Qaisar Qureshi, Fawaz Mohammed, Irfan Waheed, Tahir Muhammad Abdullah Khan, Muhammad Altaf Ahmed, Nisarfathima Kazimuddin, Akinchan Kafle, Rodney T. Steff, Karan Singh

“…We have tested the clinical role RAPID score (Renal function measured as urea, Age, fluid Purulence, Infection source, Dietary status measured as albumin) to predict treatment success, and all-cause mortality at 6 months. …”
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Metagenomic and phylogenetic analyses reveal gene-level selection constrained by bacterial phylogeny, surrounding oxalate metabolism in the gut microbiota by Sromona D. Mukherjee, Mangesh Suryavanshi, John Knight, Dirk Lange, Aaron W. Miller

“…The frc gene was primarily allocated to the Pseudomonodota phylum, particularly the Bradyrhizobium genus, which is a species capable of utilizing oxalate as a sole carbon and energy source. …”
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Artificial Intelligence in Ecuadorian SMEs: Drivers and Obstacles to Adoption by Reyner Pérez-Campdesuñer, Alexander Sánchez-Rodríguez, Gelmar García-Vidal, Rodobaldo Martínez-Vivar, Margarita De Miguel-Guzmán

“…The results reveal that AI adoption remains limited and highly concentrated in marketing-related functions, particularly in content generation and social media automation, with minimal implementation in finance, logistics, and human resource management. …”
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Medium- and Long-term Runoff Prediction Based on SMA-LSSVM by TIAN Jinghuan, LI Congxin, LI Ang

“…Medium-and long-term runoff prediction is extremely important for flood control,disaster reduction and the utilization efficiency improvement of water resources.To avoid the influence of prediction model parameters on prediction accuracy,this paper proposes a medium-and long-term runoff prediction model based on least squares support vector machine (LSSVM) optimized by the slime mold algorithm (SMA).Firstly,five standard test functions are selected to compare the simulation results of SMA and particle swarm optimization (PSO) algorithms in different dimensions.Secondly,SMA is used to optimize the penalty parameters and kernel parameters of LSSVM,and the comparison models of LSSVM and PSO-LSSVM are constructed.Finally,the models are verified with the monthly runoff of Manwan Hydropower Station Reservoir and Yingluoxia Hydrological Station as prediction examples.The results show that the mean square error of the SMA-LSSVM model is 29.26% and 7.42% lower than those of the LSSVM and PSO-LSSVM models,respectively,in the monthly runoff prediction of the Manwan station,and 32.61% and 6.61% lower,respectively,in the monthly runoff prediction of the Yingluoxia station.The proposed SMA-LSSVM model has better comprehensive prediction performance and also provides a new method for medium- and long-term runoff prediction.…”
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