Development and Characterization of Pyrolyzed Sodium Alginate–Montmorillonite Composite for Efficient Adsorption of Emerging Pharmaceuticals: Experimental and Theoretical Insights... by Ibrahim Allaoui, Rachid Et-Tanteny, Imane Barhdadi, Mohammad Elmourabit, Brahim Arfoy, Youssef Draoui, Mohamed Hadri, Khalid Draoui

“…The ca-C.O.R composite achieved a PCT removal efficiency of 91% and a maximum adsorption capacity of 122 mg·g⁻¹ improving on the performance of previous work. …”
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A Subgradient Extragradient Framework Incorporating a Relaxation and Dual Inertial Technique for Variational Inequalities by Habib ur Rehman, Kanokwan Sitthithakerngkiet, Thidaporn Seangwattana

“…Numerical findings are presented to showcase the algorithm’s effectiveness, highlighting its computational efficiency and practical relevance. A notable conclusion is that using double inertial extrapolation steps, as opposed to the single step commonly seen in the literature, provides substantial advantages for variational inequalities.…”
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A High‐Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability by Debabrata Mazumdar, Taha Selim Ustun, Chiranjit Sain, Ahmet Onen

“…Obtained results demonstrate that the HA not only achieves higher power output but also responds faster than existing methods. In each of the partial shading conditions, the efficiency range of proposed methods are 82.16% and 89.92%, respectively, and in the temperature variation case the efficiency is 84.67% which is far better than the other three approaches. …”
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Genome-wide association study for feed efficiency indicator traits in Nellore cattle considering genotype-by-environment interactions by João B. Silva Neto, João B. Silva Neto, Luiz F. Brito, Lucio Flavio M. Mota, Claudio U. Magnabosco, Fernando Baldi

“…Thus, understanding the genetic basis of feed efficiency, particularly under varying environmental conditions, is essential.MethodsThis study aimed to identify genomic regions associated with dry matter intake (DMI) and residual feed intake (RFI) in Nellore cattle by performing a genome-wide association study (GWAS) based on single-step genomic reaction norm models that account for genotype-by-environment interactions (G×E). …”
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A Computationally Efficient Learning-Based Control of a Three-Phase AC/DC Converter for DC Microgrids by Ran Li, Wendong Feng, Tianhao Qie, Yulin Liu, Tyrone Fernando, Herbert HoChing Iu, Xinan Zhang

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An approach based on data mining and genetic algorithm to optimizing time series clustering for efficient segmentation of customer behavior by Hodjat (Hojatollah) Hamidi, Bahare Haghi

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EMSPAN: Efficient Multi-Scale Pyramid Attention Network for Object Counting Under Size Heterogeneity and Dense Scenarios by Phu Nguyen Phan Hai, Bao Bui Quoc, Trang Hoang

“…The EMSPAN model utilizes advanced attention mechanisms to capture the multi-scale spatial distribution and size variations of objects. Experiments on the shrimp larvae and crowd datasets, characterized by significant size diversity of individual objects, have demonstrated the superior performance of the proposed method in handling object counting tasks in dense and size-heterogeneous environments.…”
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EfficientNet B0 Feature Extraction with L2-SVM Classification for Robust Facial Expression Recognition by Ahmad Taufiq Akbar, Shoffan Saifullah, Hari Prapcoyo, Heru Rustamadji, Nur Heri Cahyana

“…These results validate the model’s generalization ability, efficiency, and suitability for real-time FER tasks. …”
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Technical efficiency of teff production in South Soddo District, Gurage Zone, Central Ethiopia Regional State, Ethiopia by Seid Mohamed Hussen, Anbes Tenaye

“…This study found significant variations in efficiency among teff-producing farmers, with a mean technical efficiency score of 79.6%. …”
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Leveraging Low-Rank Adaptation for Parameter-Efficient Fine-Tuning in Multi-Speaker Adaptive Text-to-Speech Synthesis by Changi Hong, Jung Hyuk Lee, Hong Kook Kim

“…To this end, this work first incorporates a low-rank adaptation-based fine-tuning method for variational inference with adversarial learning for end-to-end TTS (VITS) model. …”
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Estimating Snow Coverage Percentage on Solar Panels Using Drone Imagery and Machine Learning for Enhanced Energy Efficiency by Ashraf Saleem, Ali Awad, Amna Mazen, Zoe Mazurkiewicz, Ana Dyreson

“…Approach 2, with a precision of 93% and a recall of 75%, provides a lightweight and efficient alternative for real-time monitoring but is sensitive to lighting variations. …”
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A colony multiplex quantitative PCR-Based 3S3DBC method and variations of it for screening DNA libraries. by Yang An, Atsushi Toyoda, Chen Zhao, Asao Fujiyama, Kiyokazu Agata

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Adaptive Multi-Objective Firefly Optimization for Energy-Efficient and QoS-Aware Scheduling in Distributed Green Data Centers by Ahmed Chiheb Ammari, Wael Labidi, Rami Al-Hmouz

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A semantic‐based method for analysing unknown malicious behaviours via hyper‐spherical variational auto‐encoders by Yi‐feng Wang, Yuan‐bo Guo, Chen Fang

“…The experimental results indicate that the proposed method is efficient in the analysis of unknown malicious behaviours.…”
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Method to Correct the Velocity Variation Information of an Automatic Crash Notification System in Vehicle-to-Rigid Barrier Frontal Collisions by Ying Lu, Xiaojie Ji, Yu Shu

“…To improve the accuracy and efficiency of ACNSs, a method to correct the velocity variation information of ACNSs was established. …”
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Mine cable partial discharge denoising method based on multivariate variational mode decomposition and improved wavelet threshold by Jiyuan CAO, Yanwen WANG, Peng CHEN, Xuan ZHOU, Weixiong ZHU, Yihe ZHANG, Le WANG

“…The new improved wavelet threshold algorithm is used to denoise the partial discharge reconstruction signal, and the partial discharge denoising signal is obtained. The proposed method is compared with several common methods. The results show that the proposed method has a good noise reduction effect on the simulated partial discharge signal and the measured partial discharge signal, and the operation efficiency of the algorithm is good.…”
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Research of the Fractal Extrapolation of Transmission System Load Signal of Tracked Vehicle by Wang Yanzhong, Chen Yanyan, Zhou Guangming, Jia Shuang, Lv Qingjun, Zhang Zuzhi

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Optimal Day‐Ahead Coordinated Scheduling for Efficient and Sustainable Energy Hubs Incorporating Electric Vehicles and Hydrogen Systems by Shaimaa A. M. Mousa, Abdelfatah Ali, Karar Mahmoud, Mostafa F. Shaaban, Essam E. M. Mohamed

“…Seasonal cost reductions are observed at 9.28% in winter, 6.62% in spring, 2.94% in summer, and 3.37% in fall compared to existing methods. Therefore, the optimal and coordinated scheduling of EH units enables efficient operation, maximizes benefits, and contributes to sustainable energy management.…”
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An Integrated Deep Learning Model with EfficientNet and ResNet for Accurate Multi-Class Skin Disease Classification by Madallah Alruwaili, Mahmood Mohamed

“…<b>Methods:</b> The model design merges three convolutional neural networks (CNNs): EfficientNet-B0, EfficientNet-B2, and ResNet50, which operate independently under distinct branches. …”
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Cloud-scale Gas Properties, Depletion Times, and Star Formation Efficiency per Freefall Time in PHANGS–ALMA by Adam K. Leroy, Jiayi Sun, Sharon Meidt, Oscar Agertz, I-Da Chiang, Jindra Gensior, Simon C. O. Glover, Oleg Y. Gnedin, Annie Hughes, Eva Schinnerer, Ashley T. Barnes, Frank Bigiel, Alberto D. Bolatto, Dario Colombo, Jakob den Brok, Mélanie Chevance, Ryan Chown, Cosima Eibensteiner, Damian R. Gleis, Kathryn Grasha, Jonathan D. Henshaw, Ralf S. Klessen, Eric W. Koch, Elias K. Oakes, Hsi-An Pan, Miguel Querejeta, Erik Rosolowsky, Toshiki Saito, Karin Sandstrom, Sumit K. Sarbadhicary, Yu-Hsuan Teng, Antonio Usero, Dyas Utomo, Thomas G. Williams

“…All three correlations may reflect the same underlying link between density and star formation efficiency combined with systematic variations in the degree to which self-gravity binds molecular gas in galaxies. …”
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