Corrosion Rate of ASTM A53 Steel in Seawater Influenced by Variation in Concentration of Mangifera Indica L. Peel Extract by Selly Septianissa, Ayu Zahra Chandrasari

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Genome-wide selection signal analysis reveals copy number variation associated with litter size in Guizhou Black goat by Yanpin Zhao, Yong Han, Yong Han, Chao Yuan, Yang Yang, Yong Long, Wen Xiao

“…IntroductionCopy number variation (CNV) is a common form of genomic structural variation arising from genome sequence rearrangements, which primarily involves variations in the copy number of large genomic segments. …”
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Water Use Efficiency Spatiotemporal Change and Its Driving Analysis on the Mongolian Plateau by Gesi Tang, Yulong Bao, Changqing Sun, Mei Yong, Byambakhuu Gantumur, Rentsenduger Boldbayar, Yuhai Bao

“…In this study, we used remote sensing data and various statistical methods to evaluate the spatiotemporal patterns of water use efficiency and their potential influencing factors on the Mongolian Plateau from 1982 to 2018. …”
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Efficient system design of capacitive coupling wireless charging for low-power applications by Yasir M. Y. Ameen, Marwan H. Mohammed, Basil Mohammed Said

“…The results show that the M2-four-sheet parallel formation achieved significantly higher self-capacitance compared to the traditional layout, with little variation in the coupling capacitance. The M2-four-sheet stacked formation provides even higher self-capacitance than the parallel one and enhances the overall system efficiency without increasing the pad size. …”
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Efficient Phase Step Determination Approach for Four-Quadrant Wind Imaging Interferometer by Tingyu Yan, William Ward, Chunmin Zhang, Shiping Guo

“…In this paper, we describe a new phase step determination approach based on the Lissajous figure, which provides an efficient, accurate, and visual method for the characterization and calibration of this type of instrument. …”
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Secondary-Side Switching Control for Efficient Constant-Current Dynamic Wireless Charging by Rui Ma, Xiaoyan Xu, Dan Chen, Yue Lin, Yutong Sui

“…By dynamically adjusting the conduction angle (ϕ) and phase shift (θ) of the semiactive rectifier, the proposed method effectively eliminates secondary-side reactance, ensuring stable power transfer and high energy efficiency. …”
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Correlation of Calibration Parameters for HPGe Detector Efficiency Based on Monte Carlo Simulation by LI Yan1, SHAN Chenyu2, GU Weiguo1, WANG Dezhong1

“…This study provides a practical method for correcting detection efficiency errors caused by variations in crystal diameter, offering a more efficient approach to calibrating HPGe detectors for radioactive waste measurements.…”
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Energy‐efficient multi‐biometric system for Internet of Things using trust management by Falmata Modu, Farouq Aliyu, Tarek Sheltami, Mahdi Musa

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On the Feasibility of SERS-Based Monitoring of Drug Loading Efficiency in Exosomes for Targeted Delivery by Jun Liu, Siddharth Srivastava, Tieyi Li, Faycal Moujane, John Y. Lee, Yiqing Chen, Huinan Liu, Sophie X. Deng, Ya-Hong Xie

“…Exosomes, as natural drug carriers, offer a more efficient, targeted, and less toxic drug delivery system compared to direct dispersal methods via ingestion or injection. …”
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Efficient hardware error correction with hybrid on-offline configuration algorithm for optical processor by Zichao Zhao, Huihui Zhu, Qishen Liang, Haoran Ma, Ziyi Fu, Xingyi Jiang, Bei Chen, Yuehai Wang, Tian Chen, Yuzhi Shi, Jianyi Yang

“…However, scaling up PNNs faces significant challenges due to hardware errors caused by fabrication variations and environmental factors. Traditional approaches, such as offline error correction and online training, either rely on complex control systems or suffer from local optima convergence issues, resulting in limited scalability and efficiency. …”
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An efficient fire detection algorithm based on Mamba space state linear attention by Yuming Li, Yongjie Wang, Xiaorui Shao, Anbo Zheng

“…Compared to existing methods, the proposed approach maintains high detection performance while exhibiting significant computational efficiency advantages.…”
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MMLT: Efficient object tracking through machine learning-based meta-learning by Bibek Das, Asfak Ali, Suvojit Acharjee, Jaroslav Frnda, Sheli Sinha Chaudhuri

“…In contrast, traditional machine learning and classical computer vision methods like Kernelized Correlation Filters (KCF), Tracking, Learning, and Detection (TLD), and Bootstrap Aggregating (BOOSTING), lacks reliability in performance.This paper introduces a machine learning-based approach to one-shot meta-learning for more efficient object tracking. …”
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Research on Energy Efficiency and Resource Optimized Hyper-Cellular Mobile Communication System by Zhisheng Niu, Jie Gong, Sheng Zhou

“…The development of wireless communication networks is now facing severe challenges from limited spectrum resources and stringent energy consumption constraints, which calls for system level theories and methods to efficiently utilizethe spectrum and energy. …”
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Efficient autoencoder pipeline for discovering high entropy alloys with molecular dynamics data by Amirhossein D Naghdi, Grzegorz Kaszuba, Stefanos Papanikolaou, Andrzej Jaszkiewicz, Piotr Sankowski

“…In this work, we utilize computationally efficient molecular dynamics simulations to create a machine learning pipeline for discovery of crystalline multi-component alloys. …”
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Wind speed prediction for trains on bridges using enhanced variational mode decomposition assisted feature extraction and physical auxiliary mechanism by Zhilan Zhu, Yuan Jiang, Haicui Wang, Shuoyu Liu

“…Hence, the proposed method stands as a viable and efficient alternative for forecasting the short-term wind speed.…”
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Automated Dead Chicken Detection in Poultry Farms Using Knowledge Distillation and Vision Transformers by Ridip Khanal, Wenqin Wu, Joonwhoan Lee

“…A dynamic frame selection strategy optimizes resource usage by adjusting monitoring intervals based on the chickens’ age, ensuring real-time performance in resource-constrained environments. This method addresses key challenges such as the lack of explicit annotations for dead chickens, along with common farm issues like lighting variations, occlusions, cluttered backgrounds, chicken growth, and camera distortions. …”
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Spatial attention-guided pre-trained networks for accurate identification of crop diseases by Satrughan Kumar, S. S. Aravinth, Sreedhar Kollem, Munish Kumar, Quadri Noorulhasan Naveed, Azath Mubarakali, Abhishek Bhattacherjee, Addisu Frinjo Emma

“…Additionally, the integration of ancillary convolutional layer to this architecture enhances the ability of the model to detect subtle disease variations. To further improve the adaptability, the proposed method incorporates a preprocessing and data augmentation techniques. …”
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A Rotation Target Detection Network Based on Multi-Kernel Interaction and Hierarchical Expansion by Qi Wang, Guanghu Xu, Donglin Jing

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Nanopore-based random genomic sampling for intraoperative molecular diagnosis by Francesco E. Emiliani, Abdol Aziz Ould Ismail, Edward G. Hughes, Gregory J. Tsongalis, George J. Zanazzi, Chun-Chieh Lin

“…These quantitative genomic alterations provide insight into dysregulated oncogenic pathways and can reveal potential targets for molecular therapies. Methods We develop iSCORED, a one-step random genomic DNA reconstruction method that enables efficient, unbiased quantification of genome-wide CNVs. …”
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Optimization of Mangiferin extraction from Mangifera Indica leaves Peruvian Criollo variation using ultrasound assisted surface response methodology by Elena Sofia Espinoza Rodríguez, Stephanie Elena Sosa Pulcha, Naysha Y. M․ Elguera, Abdel Alejandro Portocarrero Banda, Hugo Guillermo Jiménez Pacheco

“…Despite its potential, conventional extraction methods such as maceration and Soxhlet extraction are time-intensive and require large solvent volumes. …”
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