Catalytic graphitization of porous graphitic carbon derived from needle coke as anode materials for lithium-ion batteries by Xiaoyu Zhang, Shaoqiang Guo, Huifang Ye, Fangfang Wei

“…The impacts of heating temperatures and K _2 FeO _4 solution concentrations on the microstructure, morphology, and electrochemical lithium storage ability were thoroughly investigated. The as-synthesised PGC materials have a high specific surface area of 260.55 m ^2 g ^−1 and a good three-dimensional porous structure. …”
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Traffic State Estimation With Spatio-Temporal Autoencoding Transformer (STAT Model) by Ali Reza Sattarzadeh, Pubudu N. Pathirana, van Thanh Huynh

“…Comprehensive evaluations across various traffic prediction datasets have established the validity of the proposed approach. Also, for an efficient model selection, Akaike Information Criterion (AIC), Schwarz Bayesian Information Criterion (SBIC), Hannan-Quinn Information Criterion (HQIC), and corrected AIC (AICc) tools were used to evaluate and compare models based on their ability to balance fit and complexity. …”
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ECG, Respiration, fNIRS, and Eye Tracking for Stress and Mental Workload Monitoring in Human-Machine Interaction by Gabriele Luzzani, Marco Pogliano, Irene Buraioli, Manuel Colavincenzo, Stefano Martorana, Giorgio Guglieri, Danilo Demarchi

“…Statistical analysis using Kruskal-Wallis and Mann-Whitney tests assessed the ability of these features to differentiate stress and MWL levels. …”
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Intraspecific functional traits of an invasive alien plant, Hyptis suaveolens differ with respect to land use types by G. F. Akomolafe, W. O. Ocheola, R. Rosazlina, F. Ojija, S. Xue, B. E. Omomoh

“…These traits are indicators of their highly competitive ability, low inflammability, efficient acquisition, usage of resources and resistance to physical hazard.…”
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LDDFSF-YOLO11: A Lightweight Insulator Defect Detection Method Focusing on Small-Sized Features by Peng Shen, Keyu Mei, Huiqiong Cao, Yongxiang Zhao, Guoqing Zhang

“…This study proposes a lightweight insulator defect detection method (LDDFSF-YOLO11) that focuses on small-sized features to efficiently detect and identify insulator defects. In the LDDFSF-YOLO11 model, a focused feature extraction module (MFFEConv) is proposed to enhance the feature extraction capability of the backbone network. …”
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Synthesis and application of Cobalt-Silver nanohybrid for antimicrobial wastewater treatment and agricultural productivity enhancement by Sayed M. S. Abo El-Souad, Marwa A. Ramadan, D. Zahran

“…Abstract 1- This work emphasises the potential of Co@Ag-NPs as an efficient antimicrobial agent. The scientific community has recently shown silver nanohybrids to maintain plural consistency and their potential applications in wastewater treatment. …”
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Selection and Application of the Data Transfer Operating Protocol Software Architecture for the Software-Defined Radio by Oleg V. Vorobyov, Alexey I. Rybakov

“…The study examined the corrective ability of codes in the case of a supplementary Gaussian channel with binary phase modulation (OFDM-modulation, 2PSK and 4PSK absolute phase manipulation) in the selection of an energy-efficient approach to the design of ionospheric radio communication system. …”
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DEDANet: Mountainous Cropland Extraction From Remote Sensing Imagery With Detail Enhancement and Distance Attenuation by Liang Huang, Zixuan Zhang, You Yu, Bo-Hui Tang

“…Furthermore, ablation studies and cross-regional validations on the high-resolution cropland non-agriculturalization and iFLYTEK datasets verify the model’s robust generalization ability, thereby offering an efficient and scalable technical solution for refined cropland management in mountainous regions.…”
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DualPlaqueNet with dual-branch structure and attention mechanism for carotid plaque semantic segmentation and size prediction by Lili Deng, Xingyu Duan, Yongxiang Sun, Yunling Wang, Dongmei Song, Xiaokai Duan

“…Notably, a multi-layer one-dimensional convolutional structure is introduced within the Efficient Channel Attention (ECA) module. The original dataset contained 287 carotid ultrasound images from patients at Zhengzhou First People’s Hospital, which were divided into training, validation, and test sets. …”
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Enhanced prediction of heating value of municipal solid waste using hybrid neuro-fuzzy model and decision tree-based feature importance assessment by Oluwatobi Adeleke, Obafemi O. Olatunji, Tien-Chien Jen, Iretioluwa Olawuyi

“…The outcome of the study enhances WTE systems, facilitating more efficient and sustainable energy recovery from MSW.…”
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Artificial Neural Networks for Residual Capacity Estimation of Cycle-Aged Cylindric LFP Batteries by Pasquale Franzese, Diego Iannuzzi, Roberta Merolla, Mattia Ribera, Ivan Spina

“…These results advance battery management systems by offering a robust, efficient modeling framework that optimizes battery utilization across diverse applications, even under data-constrained conditions.…”
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Prediction of Carbonate Reservoir Porosity Based on CNN-BiLSTM-Transformer by Yingqiang Qi, Shuiliang Luo, Song Tang, Jifu Ruan, Da Gao, Qianqian Liu, Sheng Li

“…As a key indicator for reservoir characterization and evaluation, accurate and efficient porosity prediction is crucial for the exploration and development of oil and gas in carbonate reservoirs. …”
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Unsupervised evaluation of pre-trained DNA language model embeddings by Raghav Awasthi, Gayan Samuditha Mend Mend Arachchige, Xiaofeng Zhu

“…Conclusion This study introduces a computationally efficient framework for evaluating DLMs. Our results show that GENA-LM, DNA-BERT2, and Nucleotide Transformer frequently outperform HyenaDNA and Mistral across both unsupervised and supervised evaluations. …”
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Modifying M‐44s to reduce risk of activation by swift fox by Julie K. Young

“…Thus, height modifications to M‐44s may not be practical or efficient in areas with little or no risk to nontarget canids because of compromised coyote activation rates, but should be considered as an option to enable use of M‐44s for coyote management in areas where M‐44s are not currently used because nontarget, small canids may co‐occur. …”
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Deep-Learning-Based Semantic Change Detection for Urban Greenery and Comprehensive Urban Areas by Aisha Javed, Taeheon Kim, Changhui Lee, Youkyung Han

“…Key innovations include the integration of atrous spatial pyramid pooling and an updated spatial attention module, enhancing the network's ability to capture objects of varying shapes and sizes within urban settings. …”
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Modified polyvinylidene fluoride membranes for effective removal of iron ions (Fe2+) from water by Halyna Bubela, Viktoriia Konovalova, Joanna Kujawa, Wojciech Kujawski

“…Paper introduces an efficient technique for removing excess Fe(II) ions from water using modified polyvinylidene fluoride membranes. …”
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Correlation between Physical Activity and Cardiovascular Endurance of the Employees in Universitas Swadaya Gunung Jati, Cirebon, Indonesia by Salsabila Carissa Arsyana Agestri, Kati Sriwiyati, Pangeran Akbar Syah

“… Background: Cardiovascular endurance refers to a person's ability to perform activities involving the entire body at moderate to high intensity over extended periods. …”
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Study on Outdoor Spectral Inversion of Winter Jujube Based on BPDF Models by Yabei Di, Jinlong Yu, Huaping Luo, Huaiyu Liu, Lei Kang, Yuesen Tong

“…The Nadal–Breon model was suitable for epidermal reflection-dominated scenarios, and the Maignan model efficiently coupled epidermal and internal moisture characteristics through the moisture sensitivity index. …”
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Advances in Oral Solid Drug Delivery Systems: Quality by Design Approach in Development of Controlled Release Tablets by Prachi Atre, Syed A. A. Rizvi

“…In terms of manufacturing, direct compression has emerged as the most efficient method for producing CR tablets, streamlining production while ensuring consistent drug release. …”
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SODS: Soil Health On-Demand Sensors—A Multi Parameter Field Study with Temporal Monitoring by Vikram Narayanan Dhamu, Mohammed A. Eldeeb, Anil C. Somenahally, Sriram Muthukumar, Shalini Prasad

“…Real-time monitoring of soil health parameters is crucial for efficient use of resources, improving agricultural productivity, and sustainability. …”
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