The Approach of Induced Generalized Neutrosophic Cubic Shapley Choquet Integral Aggregation Operators via the CODAS Method to Solve Distance-Based Multicriteria Decision-Making Pro... by Majid Khan, Muhammad Gulistan, Mohammed M. Al-Shamiri

“…This study aims to define a conjecture that can handle complex frames of work more efficiently that occurs in daily life problems. …”
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Unveiling Performance and Genetic Estimates of Tongil-Type Rice Genotypes for Yield Improvement and Breeding by Barnabas Justo Sitta, Lupakisyo Mwakyusa, William Titus Suvi, Fatma Suleiman Ally, Mbaraka Abbakari Batare, Sophia Kashenge-Killenga, Sang-Bok Lee

“…However, owing to its complex genetic basis, selecting for yield alone is often insufficient. …”
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A Novel Framework for Whole-Slide Pathological Image Classification Based on the Cascaded Attention Mechanism by Dehua Liu, Bin Hu

“…Automated models can rapidly and accurately process large datasets, revolutionizing tumor detection and classification. However, existing methods often rely on single attention mechanisms, failing to fully exploit the complexity of pathological images, especially in extracting critical features from whole-slide images. …”
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Modeling Travel Time Reliability of Road Network Considering Connected Vehicle Guidance Characteristics Indexes by Jiangfeng Wang, Chao Wang, Jiarun Lv, Zhiqi Zhang, Cuicui Li

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Direct Immunoprecipitation of Antigen with Phage Displaying Immunoglobulin Fragment by P. Telleman, G.A. Kingsbury, R.P. Junghans

“…This report describes the direct precipitation of phage-Fab-antigen complexes by polyethylene glycol precipitation, resulting in highly selective and efficient recovery of antigen from complex mixtures without nonspecific protein contamination. …”
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Algorithm for pixel-level concrete pavement crack segmentation based on an improved U-Net model by Zixuan Zhang, Yike He, Di Hu, Qiang Jin, Manxu Zhou, Zongwei Liu, Hongli Chen, He Wang, Xinchen Xiang

“…Among the seven comparison models, U-Net-FML has the strongest overall performance, highlighting its engineering value for precise detection and efficient analysis of cracks.…”
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Adsorptive Removal of Dyes: A Comparison of Graphene Oxide to Granular Activated Carbon and Zeolite NaY by Niloufar Nekouei Marnani, F. Handan Tezel, Onita D. Basu

“…Overall, GO demonstrated a more robust and higher removal efficiency of cationic dyes compared with GAC and NaY, indicating the potential of graphene oxide for the removal of complex structured organic contaminants in wastewater treatment.…”
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Acoustic virtual sensors for industrial process monitoring using non-negative matrix factorization by Clara Luzon-Alvarez, Maximo Cobos, Jesus Lopez-Ballester, Ana M. Torres-Aranda, Francesc J. Ferri

“…Abstract In modern industrial environments, efficient and non-invasive monitoring of machinery operations is crucial for ensuring process optimization and early fault detection. …”
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On the Usage of Deep Learning Techniques for Unmanned Aerial Vehicle-Based Citrus Crop Health Assessment by Ana I. Gálvez-Gutiérrez, Frederico Afonso, Juana M. Martínez-Heredia

“…This work proposes an end-to-end solution for leaf segmentation, disease detection, and damage quantification, specifically focusing on citrus crops. …”
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An intelligent prediction method for rock core integrity based on deep learning by Zhaoxia Hu, Hua Mei, Lei Yu

“…In IDA-RCF, a two-branch feature extraction network is firstly proposed, in which branch one is used to fully extract the complex and variable local detail fissure features by Deformable convolution, and branch two is used to capture the global context information of the rock core images by EfficientViT network based on the self-attention. …”
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A data-driven PCA-RF-VIM method to identify key factors driving post-fracturing gas production of tight reservoirs by Yifan Zhao, Xiaofan Li, Lei Zuo, Zhongtai Hu, Liangbin Dou, Huagui Yu, Tiantai Li, Jun Lu

“…Analyzing and obtaining these ten controlling factors provides engineers with a new insight into the reservoir selection for fracturing stimulation and fracturing parameter optimization to improve fracturing efficiency and productivity.…”
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Twist-Induced Beam Steering and Blazing Effects in Photonic Crystal Devices by Nicolas Roy, Beicheng Lou, Shanhui Fan, Alexandre Mayer, Michaël Lobet

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Digital Technologies and Trade Facilitation in Ethiopia: A Mixed-Methods Analysis of Blockchain, AI, and IoT Adoption by Chekole Sete Demeke

“…Data analysis reveals the potential of blockchain to enhance customs transparency and efficiency, AI to expedite cargo clearance and strengthen fraud detection, and IoT to provide improved supply chain visibility. …”
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Strategy of Surgical Treatment of Patients with Pigment Dispersion Syndrome and Myopia by S. N. Sakhnov, O. A. Klokova, P. A. Karagodina, T. I. Arlanova, A. A. Leonova

“…Purpose: to conduct a prospective study of the results of surgical treatment of patients with pigment dispersion syndrome and complex myopic astigmatism. Materials and methods. …”
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ILN-YOLOv8: A Lightweight Image Recognition Model for Crimped Wire Connectors by Xiaojian Zhou, Jicheng Kan, Nur Fatin Liyana Mohd Rosely, Xu Duan, Jiajing Cai, Zihan Zhou

“…Additionally, the Efficient Local Attention(ELA) attention mechanism is introduced into the Cryptographic Service Provider(CSP) bottleneck with 2 convolutions(C2F) module in the Backbone, improving feature localization accuracy without increasing network complexity. …”
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Multi-dimensional water quality indicators forecasting from IoT sensors: A tensor decomposition and multi-head self-attention mechanism. by Li Bo, Lv Junrui, Luo Xuegang

“…To overcome these limitations, we propose TGMHA (Tensor Decomposition and Gated Neural Network with Multi-Head Self-Attention), a novel hybrid model that integrates three key innovations: 1) Tensor-based Feature Extraction: We combine Standard Delay Embedding Transformation (SDET) with Tucker tensor decomposition to reconstruct raw time series into low-rank tensor representations, capturing latent spatio-temporal patterns while suppressing sensor noise. 2) Multi-Head Self-Attention for Inter-Indicator Dependencies: A multi-head self-attention mechanism explicitly models complex inter-dependencies among diverse water quality indicators (e.g., pH, dissolved oxygen, conductivity) via parallel feature subspace learning. 3) Efficient Long-Term Dependency Modeling: An encoder-decoder architecture with gated recurrent units (GRUs), optimized by adaptive rank selection, ensures efficient modeling of long-term dependencies without compromising computational performance. …”
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An Investigation on Attention Mechanism–Based Long Short-Term Memory for Gearbox Fault Diagnosis by Ningning Wu, Yang Li, Xiaogang Li, Keyan Yuan, Wenyuan Jiang, Ke Li

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Creation of mathematical model for estimating energy intensity of livestock wastes disinfection by Besarion C. Meskhi, Nikolay V. Limarenko, Victor P. Zharov, Boris G. Shapoval

“…Electric energy intensity is selected as a parameter characterizing the energy efficiency of the of livestock wastes disinfection process. …”
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Liquid Crystal Microcavity Biosensors for Real-Time Liver Injury Monitoring via Whispering Gallery Mode Laser by Jianwei Wang, Yeshuai Song, Xinyu Dou, Jiapeng Sun, Xinghua Yang, Yu Zhang, Zhihai Liu, Yanzeng Li, Hanyang Li

“…However, existing detection methods often suffer from complex operation, high costs, and limited sensitivity. …”
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Forward Position Solution of Redundantly Constrained Cable-driven Parallel Robot by Tao Ye, Zhang Shangying, Wang Yanwei

“…Five pose combinations are selected to verify the high efficiency of the algorithm. …”
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