Research on High Arch Dam Deformation Monitoring Model with Deep Capturing Related Features in Factor-time Dimensions by XUE Jianghan, ZHANG Pengtao, TIAN Jichen, LU Xiang, CHEN Jiankang, Guo Yinju

“…Then, in the factor dimension, the Transformer encoder is used separately to receive the data of the factor dimension as the input to perform attention calculation, so that to capture the dependency between factors. …”
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Flow-based Text Style Transfer Model by Zihan ZHANG, Jinqiao DAI, Pin YANG

“…In addition, a pre-trained discriminator is employed in the model training process to compare reconstructed stylized <inline-formula><tex-math id="M33-1">$ {\boldsymbol{z}}_{\mathrm{b}}^{\mathrm{*}} $</tex-math><alternatives><graphic specific-use="online" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300639_M33-1.jpg"/><graphic specific-use="print" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300639_M33-1.png"/></alternatives></inline-formula> with its original content source <inline-formula><tex-math id="M34-1">$ {\boldsymbol{z}}_{\mathrm{a}} $</tex-math><alternatives><graphic specific-use="online" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300639_M34-1.jpg"/><graphic specific-use="print" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="202300639_M34-1.png"/></alternatives></inline-formula> The results are utilized to optimize the decoder. …”
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An Experimental Comparison of Self-Adaptive Differential Evolution Algorithms to Induce Oblique Decision Trees by Rafael Rivera-López, Efrén Mezura-Montes, Juana Canul-Reich, Marco-Antonio Cruz-Chávez

“…We perform a comparative performance analysis of these differential evolution variants, showing that while they exhibit similar statistical behavior, the Single-Objective real-parameter optimization (jSO) method produces the most accurate oblique decision trees and is second best in compactness. …”
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Dynamic Micro-Vibration Monitoring Based on Fractional Optical Vortex by Fucheng Zou, Dechun Liu, Le Wang, Shengmei Zhao, Jialong Zhu

“…The reflected Gaussian beam encodes the vibration information of the target, which is extracted by analyzing the rotational behavior of the petal-like interference pattern formed through coaxial interference with the FOV beam. …”
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Precision Measurement and Feature Selection in Medical Diagnostics using Hybrid Genetic Algorithm and Support Vector Machine by Gowri Subadra K, Sathish Babu P

“…BoM is then used to select the optimal classification model from a set of candidates, to further improve the accuracy of diagnosis. …”
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Enhancing quantum state discrimination with indefinite causal order by Spiros Kechrimparis, James Moran, Athena Karsa, Changhyoup Lee, Hyukjoon Kwon

“…We find that, for certain channels and ensembles, the guessing probability can be significantly improved compared to both single- and multiple-copy state discrimination.…”
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Convolutional autoencoder network lithology recognition based on scratch tests by Suling Wang, Zhihui Ren, Kangxing Dong, Yanchun Li, Jinbo Li, Pengyun Wen, Ruyi Qu, Tingting Li, Zhennan Wen

“…The optimal lithology identification scale was selected, and the performance of this method was compared with that of other neural network approaches. …”
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Engineered biosynthesis and characterization of disaccharide-pimaricin by Xiaoshan Zuo, Liqin Qiao, Yao Dong, Xing Jin, Zhongyuan Ren, Hao Cui

“…Growth analysis revealed a delayed growth cycle in the mutant strain, suggesting that nppY expression may impose additional metabolic burden. Optimization of the fermentation medium using a statistical design identified an optimal formulation, with a maximum DSP titer of 138.168 mg/L. …”
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Functional characterization of the rice UDP-glucose 4-epimerase 1, OsUGE1: a potential role in cell wall carbohydrate partitioning during limiting nitrogen conditions. by David R Guevara, Ashraf El-Kereamy, Mahmoud W Yaish, Yong Mei-Bi, Steven J Rothstein

“…However, OsUGE1-OX lines maintained 18-24% more sucrose and 12-22% less cellulose in shoots compared to wild-type when subjected to sub-optimal N-levels. …”
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Two-Step Quantum Search Algorithm for Solving Traveling Salesman Problems by Rei Sato, Cui Gordon, Kazuhiro Saito, Hideyuki Kawashima, Tetsuro Nikuni, Shohei Watabe

“…Encoded in the higher order unconstrained binary optimization representation, our approach significantly reduces the qubit requirements. …”
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GeoMM-SSL: Integrating Geospatial Object Relations in Multimodal Self-Supervised Learning for Semantic Segmentation of Remote Sensing Images by Yang Liu, Tong Zhang, Yanru Huang

“…We conducted comprehensive experiments to compare GeoMM-SSL with 13 existing SSL methods on ten public semantic segmentation datasets, and the results show that GeoMM-SSL achieves optimal results.…”
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MolAttnNet: A Predictive Model for Organic Drug Solubility Based on Graph Convolutional Networks and Transformer-Attention by Chenxu Wang, Yijun Feng, Zhejie Xu, Xiaohui Xu, Bangguo Peng

“…On an anticancer compound test set, MolAttnNet achieved an R2 of 0.5921, an RMSE of 0.5681, and an MSE of 0.3227, representing an 11.15% reduction in MSE compared to the SolPredictor baseline model. Ablation studies systematically validate the contribution of each module, demonstrating that their synergistic integration is essential for optimal performance. …”
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Identification and Enzymatic Properties of the Key D-Lactate Dehydrogenase in Leuconostoc pseudomesenteroides HL64 by Peng LI, Lan LIU, Tong WANG, Xiaoping HUANG

“…It was identified as encoding the key D-lactate dehydrogenase, with optimal reaction conditions determined to be pH8.0 and 30 ℃. …”
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Bioinformatics analysis of the Microsporidia sp. MB genome: a malaria transmission-blocking symbiont of the Anopheles arabiensis mosquito by Lilian Mbaisi Ang’ang’o, Jeremy Keith Herren, Özlem Tastan Bishop

“…MB, known for its ability to block malaria development in mosquitoes, is an optimal candidate for supplementing malaria vector control methods. …”
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Innovative quantum techniques for improving system performance in cloud computing by Naher M. Alsafri, Ahmed Y. Hamed, A. Mindil, M.R. Hassan

“…Effective task scheduling is pivotal for optimizing the performance of cloud computing services, particularly to minimize execution time and enhance resource utilization. …”
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Integrating AutoGluon for Real-Time Monitoring and Classification of Dental Equipment Performance by Muxiu Yang, Fengzhou Li, Wenfeng Qiu

“…We compared models to identify the best approach for real-time monitoring. …”
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Deep learning-based automation for segmentation and biometric measurement of the gestational sac in ultrasound images by Hafiz Muhammad Danish, Zobia Suhail, Faiza Farooq

“…Four widely used fully convolutional neural networks: UNet, UNet++, DeepLabV3, and ResUNet were modified by replacing their encoders with a pre-trained ResNet50. These models were trained and evaluated using 5-fold cross-validation to identify the optimal approach for GS segmentation. …”
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Cloning and expression of reticuloendotheliosis virus (REV) and development of indirect-ELISA for detection of antibody to REV by YU Chong, HUANG Yong, TIAN Ming-xing, SHI Min, LI Min, ZHAO Fang-fang

“…Based on the nucleotide sequence of avian reticuloendotheliosis virus (REV) SNV strain, Sichuan isolates REV-SC1 were used as a template, and a pair of primers was designed to amplify the 121-1 023 bp of gp90 gene fragment encoding high antigenic and hydrophilic domain of C-terminal protein. …”
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deep-Sep: a deep learning-based method for fast and accurate prediction of selenoprotein genes in bacteria by Yao Xiao, Yan Zhang

“…They contain the 21st amino acid selenocysteine (Sec) in the active sites, which is encoded by an in-frame UGA codon. Compared to eukaryotes, identification of selenoprotein genes in bacteria remains challenging due to the absence of an effective strategy for distinguishing the Sec-encoding UGA codon from a normal stop signal. …”
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3D path planning for UAV based on A hybrid algorithm of marine predators algorithm with quasi-oppositional learning and differential evolution by Binbin Tu, Fei Wang, Xiaowei Han

“…The experimental results demonstrate DECMPA’s superiority in terms of optimal cost acquisition, solution quality, and stability. …”
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