A Review of Methods for the Removal of Endocrine-Disrupting Compounds with a Focus on Oestrogens and Pharmaceuticals Found in Wastewater by Jolanta Latosińska, Agnieszka Grdulska

“…However, optimal methods of wastewater treatment depend on the quality and quantity of the wastewater, as well as the residual hormonal and pharmaceutical compounds and their hazardous effects.…”
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Assessing the Efficiency of Reduced Positional Games in Soccer: A Multivariate Analysis of Technical and Tactical Indicators According to Different Playing Systems by Mostafa Errama, Mustapha Bassiri, Jafaar Atifi, Said Lotfi

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Comparative Analysis of Electric Buses as a Sustainable Transport Mode Using Multicriteria Decision-Making Methods by Antonio Barragán-Escandón, Henry Armijos-Cárdenas, Adrián Armijos-García, Esteban Zalamea-León, Xavier Serrano-Guerrero

“…This study identifies the optimal electric bus model for Cuenca, Ecuador, using the multicriteria decision-making methods PROMETHEE and TOPSIS. …”
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A Ship’s Maritime Critical Target Identification Method Based on Lightweight and Triple Attention Mechanisms by Pu Wang, Shenhua Yang, Guoquan Chen, Weijun Wang, Zeyang Huang, Yuanliang Jiang

“…Finally, InnerEIoU is used to replace CIoU to improve the loss function, thereby optimizing loss regression for targets with large scale differences. …”
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Enhancing Education with Machine Learning: Predicting Student Readability Scores by Claire Bell

“…This work contributes to the growing body of knowledge on readability evaluation and demonstrates the potential of machine learning and optimization methods in advancing this field.…”
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Differences in Agricultural Water Use Efficiency and Its Influencing Factors Between Yellow River Basin and Yangtze River Economic Belt by Hao Ming, Duan Linqiong, Chen Changyou, Liang Liutao, Pan Tao

“…[Methods] Based on data from 19 provinces and cities in the Yellow River basin and the Yangtze River Economic Belt from 2009 to 2019, differences in agricultural water use efficiency and its influencing factors were analyzed by use of the super-efficiency SBM model, the Malmquist index, kernel density estimation, standard deviation ellipse, Tobit regression and other methods. …”
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A Fault Identification Method of Mechanical Element Action Unit Based on CWT-2DCNN by Hongyu Ge, Yujiao Guo, Tianyu Luo, Manzhi Yang, Chuanwei Zhang

“…By using this method, the different fault types of mechanical element action units can be accurately identified, which has a certain application in the field of mechanical fault identification and diagnosis.…”
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A Difference Wavelet Feature Index for Estimating Aerial N Uptake of Winter Wheat from In Situ Hyperspectral Remote Sensing by Bin-Bin Guo, Wen-Hui Wang, Chao Ma, Jun Zhang, Fei Yin, Wei Feng

“…The real-time and accurate assessment of crop aerial nitrogen (N) uptake is of significant importance for optimizing N fertilization. To develop a robust method for determining aerial N uptake in winter wheat, a field experiment with different N fertilizer levels was conducted over three successive years at two ecological sites in Henan, China. …”
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Non-invasive methods to assess seed quality based on ultra-weak photon emission and delayed luminescence by Adriano Griffo, Stefanie Sehmisch, Frédéric Laager, Andrea Pagano, Alma Balestrazzi, Anca Macovei, Andreas Börner

“…Abstract Seed quality is the set of physical, genetic, and physiological characteristics, reflecting the overall germination potential. Maintaining an optimal seed quality is essential for agriculture and seed banks to preserve genetic diversity. …”
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Hydrogen production by the water-gas shift reaction: A comprehensive review on catalysts, kinetics, and reaction mechanism by Leila Dehimi, Oualid Alioui, Yacine Benguerba, Krishna Kumar Yadav, Javed Khan Bhutto, Ahmed M. Fallatah, Tanuj Shukla, Maha Awjan Alreshidi, Marco Balsamo, Michael Badawi, Alessandro Erto

“…Numerous studies have focused on developing optimal WGS catalysts with the desired characteristics and efficiency. …”
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Improved LSTM hyperparameters alongside sentiment walk-forward validation for time series prediction by Eko Putra Wahyuddin, Rezzy Eko Caraka, Robert Kurniawan, Wahyu Caesarendra, Prana Ugiana Gio, Bens Pardamean

“…This study contributes to the field by addressing the issue of biased estimation errors in time series modeling, offering insights into the optimization of hyperparameters and validation methods for accurate predictions. …”
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Holistic Dynamic Modeling and Simulation of Alkaline Water Electrolysis Systems Based on Heat Current Method by Yi-Chong Jiang, Shi-Meng Dong, Zheng Liang, Xiao-Li Wang, Lei Shi, Bing Yan, Tian Zhao

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Research on Multi-Scale Point Cloud Completion Method Based on Local Neighborhood Dynamic Fusion by Yalun Liu, Jiantao Sun, Ling Zhao

“…The visualization of completion results demonstrates the superior performance of our method in both point cloud completion accuracy and local detail preservation. …”
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A Novel Audio Copy Move Forgery Detection Method With Classification of Graph-Based Representations by Beste Ustubioglu, Gul Tahaoglu, Arda Ustubioglu, Guzin Ulutas, Muhammed Kilic

“…This paper presents a novel method to detect audio copy-move forgery, a type of manipulation where segments of an audio file are duplicated and moved to different locations within the same file. …”
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Decoding elegant interplay among different stereo-electronic effects due to the ancient prolyl-4-hydroxylation stabilizing collagenous helicity by Ashutosh Joshi, Trayambak Basak, Bhaskar Mondal

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Matlab-Based Modeling and Simulations to Study the Performance of Different MPPT Techniques Used for Photovoltaic Systems under Partially Shaded Conditions by Jehun Hahm, Jaeho Baek, Hyoseok Kang, Heejin Lee, Mignon Park

“…The PV system is tested using two conventional algorithms: the Perturb and Observe (P&O) algorithm and the Incremental Conductance (IncCond) algorithm, which are simple to implement for a PV array. The proposed method applied a model to simulate the performance of the PV system for solar energy usage, which is compared to the conventional methods under nonuniform insolation improving the PV system utilization efficiency and allowing optimization of the system performance. …”
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Telemedicine as support for primary care referrals to neurologists: decision-making between different specialists when guiding the case over the phone by Carlos Eduardo MANTESE, Emanuelle Roberta da Silva AQUINO, Mariana Duque FIGUEIRA, Livia RODRIGUES, Josue BASSO, Priscila RAUPP DA ROSA

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Sampling and Comparison of Extraction Techniques Coupled with Gas Chromatography–Mass Spectrometry (GC-MS) for the Analysis of Substrates Exposed to Explosives by Himanshi Upadhyaya, Alexis J. Hecker, John V. Goodpaster

“…Comparison of extraction methods revealed that SPME surpassed other techniques as DMNB was found on all substrates using SPME. …”
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Normalized Difference Vegetation Index Prediction for Blueberry Plant Health from RGB Images: A Clustering and Deep Learning Approach by A. G. M. Zaman, Kallol Roy, Jüri Olt

“…In precision agriculture (PA), monitoring individual plant health is crucial for optimizing yields and minimizing resources. The normalized difference vegetation index (NDVI), a widely used health indicator, typically relies on expensive multispectral cameras. …”
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Application and concentration selection of dithiothreitol for correcting false elevation of D-dimer by Jia-Wei Zeng, Guang-Hao Song, Mao Xia

“…In the experimental group, 0.01 mol/L DTT treatment and the alternative immunoassay method similarly reduced D-dimer levels, with no significant difference between the two correction methods (P > 0.05). …”
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