Highlighting the Best English Teaching Method for Katsina State Secondary Schools: Communicative Versus Traditional by Ibrahim Sani, Abdulhakim Saidu

“…In order to analyze the collected data, the researchers utilized the SPSS (IBM Statistical Processor Version 25) for precise and efficient processing, generating various necessary outputs to draw meaningful conclusions. …”
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TAL-SRX: an intelligent typing evaluation method for KASP primers based on multi-model fusion by Xiaojing Chen, Xiaojing Chen, Jingchao Fan, Jingchao Fan, Shen Yan, Longyu Huang, Longyu Huang, Longyu Huang, Guomin Zhou, Guomin Zhou, Jianhua Zhang, Jianhua Zhang

“…Intelligent and accurate evaluation of KASP primer typing effect is crucial for large-scale screening of excellent markers in molecular marker-assisted breeding. However, the efficiency of both manual discrimination methods and existing algorithms is limited and cannot match the development speed of molecular markers. …”
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Intelligent prediction method of virtual network function resource capacity for polymorphic network service slicing by Julong LAN, Di ZHU, Dan LI

“…Objectives:With the emergence and development of new network structures such as polymorphic network,the demand for network resource capacity is becoming more and more diverse.It is very difficult to adjust the distribution of virtual network functions (VNFs) carried on network slices for on-demand,dynamic and efficient resource capacity matching.This paper uses a data-driven VNF resource capacity prediction method to explore the pre-deployment of VNFs carried on network slices. …”
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Adaptive Damping Log-Domain Message-Passing Algorithm for FTN-OTFS in V2X Communications by Hui Xu, Chaorong Zhang, Qingying Wu, Benjamin K. Ng, Chan-Tong Lam

“…An analytical input–output model is derived in both the delay–Doppler and time–frequency domains. …”
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Conditional Diffusion-Flow models for generating 3D cosmic density fields: applications to f(R) cosmologies by Julieth K Riveros, Paola A Saavedra, Héctor J Hortúa, Jorge Enrique García-Farieta, Ivan Olier

“…To improve conditional generation, we introduce a novel multi-output model to develop feature representations of the cosmological parameters. …”
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Freeform Lens Design of Beam Shaping With User-Defined Rotation-Symmetric Profile by Using Numerical Method by Cheng-Mu Tsai, Chen-Kang Wu

“…Overall, the present results show that the proposed method provides a versatile and efficient approach for designing freeform lenses with a specific distribution of the output beam profile and good collimation.…”
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Optimization and Fabrication of Heterojunction Silicon Solar Cells Using an Experimental-Industrial Facility AK-1000 Inline by N. A. Chuchvaga, J. Schulze, V. V. Klimenov, K. S. Zholdybayev, K. P. Aimaganbetov, S. R. Zhantuarov, A. S. Serikkanov, E. I. Terukov, S. Zh. Tokmoldin, N. S. Tokmoldin

“…The output parameters associated with light conversion efficiency demonstrate the possibility of further optimization of the parameters affecting the performance of heterojunction solar cells.…”
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Codesign of Transmit Waveform and Receive Filter with Similarity Constraints for FDA-MIMO Radar by Qiping Zhang, Jinfeng Hu, Xin Tai, Yongfeng Zuo, Huiyong Li, Kai Zhong, Chaohai Li

“…Simulation results demonstrate that our method achieves a 0.6 dB improvement in SINR compared to existing methods while maintaining competitive computational efficiency. …”
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The Importance of Logistics Variables on Port Performance Analysis: A DEA Approach to Analyzing 57 Ports in the World Port Ranking by Rudy Eruwan Jamain, Roza Hazli Zakaria, NurulHuda Mohd Satar

“…This study aims to explore the importance of logistics variables towards port performance measurement. A standard method used to measure port performance is the analysis of its inputs and outputs based on port characteristics, such as length of berth, number of cranes and depth. …”
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ML-AMPSIT: Machine Learning-based Automated Multi-method Parameter Sensitivity and Importance analysis Tool by D. Di Santo, C. He, F. Chen, L. Giovannini

“…<p>The accurate calibration of parameters in atmospheric and Earth system models is crucial for improving their performance but remains a challenge due to their inherent complexity, which is reflected in input–output relationships often characterised by multiple interactions between the parameters, thus hindering the use of simple sensitivity analysis methods. …”
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Analysis Method of Agricultural Total Factor Productivity Based on Stochastic Block Model (SBM) and Machine Learning by Yanzi Li, Cai Chen, Fuqiang Liu, Jian Wang

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Pixel Imaging Method, Transport Phenomenon in Sizes From Nano, Micro, and Milli Scale Pore Membrane by Vishal Nandigana

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Proposing an Adaptive Neuro-Fuzzy System-Based Swarm Concept Method for Predicting the Physical Properties of Nanofluids by Gong Han, Amir Seraj

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Trust-Region Method for Load Flow Solution of Three-Phase Unbalanced Electric Power Distribution System by Rudy Gianto, null Purwoharjono

“…Results of the studies show that the output values obtained by the proposed method are in excellent agreement with those obtained by previously published methods. …”
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A Modeling Method for Micro Wind Speed Prediction of Wind Turbines Based on Time Series Analysis by ZHANG Jiayou, YAN Yibing, WEN Kun, HU Kaikai, CHEN Gang

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Key agreement method based on multi-dimensional advantage distillation over mmWave MIMO channels by MAO Dandan, WANG Ning, ZHEN Jina, ZHANG Ning, HUANG Kaizhi

“…To achieve efficient physical layer secure secret key agreement in millimeter wave (mmWave) multiple input multiple output (MIMO) communication systems, a key agreement method was proposed based on multi-dimensional advantage distillation (AD) exploiting the multi-dimensional characteristics of mmWave MIMO channel parameters. …”
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Appearance Estimation and Image Segmentation via Tensor Factorization by Jeova Farias Sales Rocha Neto

“…We also demonstrate the performance of our proposed method in many challenging synthetic and real imaging scenarios and show that it leads to an efficient segmentation algorithm.…”
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Recent advances in the methods and clinical applications of next-generation sequencing in genomic profiling and precision cancer therapy by Ahad Amer Alsaiari

“…Next-generation sequencing (NGS) has dramatically increased the sequencing data output and transformed biomedical investigations. …”
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Improved nucleolus method-based rolling optimization operation for renewable energy stations and shared energy storage by Gang Li, Bingyu Sang, Wei Tang, Kecheng Li, Bin Xu, Zhihao Yang, Wei Ma, Yibin Tao

“…The proposed method comprises a profit maximization model for the cooperative alliance that dynamically adjusts the RESs’ bidding strategies in both day-ahead and real-time energy markets using a receding horizon control approach, as well as an improved nucleolus-based revenue allocation model enhanced with constraint generation techniques to ensure fair, stable and efficient profit sharing among large-scale alliance members. …”
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Graphical Smooth Switching Control Method of Four-Switch Buck-Boost Converter in Fuel Cell Systems by Hongwei Feng, Yuanyuan Liu, Chunping Guo, Ye Li, Tai Li

“…This paper proposes a graphical smooth switching control method for a four-switch Buck-Boost (FSBB) converter in fuel cell systems. …”
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