Screening of accessions from fiber flax collection by productivity and their adaptability to the conditions of the North-West region of Russia by I. A. Kuzemkin, T. A. Rozhmina

“…These genotypes significantly exceeded the average value for this trait – coefficient of adaptability (CA) was 1.10…1.25. According to the results of a comprehensive assessment of fiber flax accessions, including the yield of fiber and seeds, as well as their adaptive properties - stress resistance (Y2 - Y1), genetic flexibility and compensatory ability (Y1 + Y2 / 2), stability (d), the highest indicators were shown by the varieties Tost 3, Atlant and Evea. …”
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Design optimisation of thermal properties, moisture management and physical characteristics in four-layer woven fabrics by Jun Ma, Annie Yu, Cheuk Him Lam, Ka Po Li

“…Multi-layered 3D fabric has been the subject of research interest due to its ability to reinforce, absorb energy and provide different degrees of flexibility to provide specific properties. …”
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Cooperative Control and Intelligent Optimization for Air-Sea Heterogeneous Unmanned Systems by Can KE, Huifang CHEN, Lei XIE

“…Simulation results demonstrate that the air-sea heterogeneous unmanned system can achieve formation control while avoiding obstacles and reducing communication overhead, and the proposed algorithm has better convergence and global search ability than the traditional multi-objective quantum-behavior particle swarm optimization algorithm.…”
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An Enhanced Generative Adversarial Network Prediction Model Based on LSTM and Attention for Corrosion Rate in Pipelines by Pujun Long, Mi Liang, Hongjian Chen, Qin Yang

“…The LAGAN-GWO-SVR in this paper achieves a Root Mean Square Error of 0.013 and a coefficient of determination of 0.982.…”
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Estimating NOx Emissions in China via Multisource Satellite Data and Deep Learning Model by Kun Cai, Yanfang Shao, Yinghao Lin, Shenshen Li, Minghu Fan

“…However, satellite data often suffer from incompleteness, hindering the ability to achieve long-term and comprehensive estimates. …”
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Design and Simulation Analysis of Sound Absorption Structure for Acoustic Detection-Based Underwater Gliders by Donghai ZENG, Xinyu WU, Chang YUAN, Yuxuan PENG, Jianxing ZHANG, Baoren LI

“…The simulation results show that the composite sound absorption structure of porous material layer-air cavity-microperforated panel-parallel air cavity has the best performance in the range of 0–2 000 Hz, and its average sound absorption coefficient is 0.663 in the range of 200–1 200 Hz, which can reduce the radiation noise of the underwater gliders under specific working conditions, weaken the interference of self-noise, and improve the detection ability of acoustic detection-based gliders.…”
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Reservoir water level prediction using combined CEEMDAN-FE and RUN-SVM-RBFNN machine learning algorithms by Lan-ting Zhou, Guan-lin Long, Can-can Hu, Kai Zhang

“…In terms of accuracy, the combined model outperformed single models, with the determination coefficient, root mean square error, and mean absolute error values of 0.997 5, 0.241 8 m, and 0.161 6 m, respectively. …”
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Segmentation of Low-Grade Brain Tumors Using Mutual Attention Multimodal MRI by Hiroyuki Seshimo, Essam A. Rashed

“…Among neuroimaging modalities, magnetic resonance imaging (MRI) is the gold standard for brain tumor diagnostics due to its ability to produce high-contrast images across a variety of sequences, each highlighting distinct tissue characteristics. …”
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The Relationship between Core Stability Muscles Isometric Strength and Endurance with the Postural Control and Walking Endurance in Patients with Multiple Sclerosis by Behnam Moradi, Seyed Sadreddin Shojaedin

“…In order to examine the relationship between and among the tests, Pearson correlation coefficient (with the significance level of 0.95 and p value≤0.05) was used. …”
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Sustainable sound absorption using shredded plastic particles: Adjusting low-frequency acoustic performance with particle size by Anže Železnik, Luka Čurović, Jurij Prezelj

“…The sound absorption coefficients and normalized surface impedances of different size fractions, ranging from 45 µm to 3 mm, were measured using the standard two-microphone impedance tube method in accordance with ISO 10534-2. …”
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Self-Regulation as a Mediator Between Learning Motivation and Academic Procrastination in Students Who Are Preparing a Thesis by Aulia Aulia, Dewi Fortuna Septiantika, Daviddefikry Yondra Perdana, Agung Putra Azis, Dwi Bagus Irawan, Masyhuril Fajar

“…The results showed that self-regulation played a mediator between learning motivation and academic procrastination, with a significance value of 0.001 (p<0.05). Coefficient Test -0.242 (p-Value,0.001<0.05). Regulation partially mediates the relationship between learning motivation and academic procrastination. …”
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A Strong Noise Reduction Network for Seismic Records by Tong Shen, Xuan Jiang, Wenzheng Rong, Lei Xu, Xianguo Tuo, Guili Peng

“…These results show that the proposed model significantly outperforms the comparative methods in terms of the SNR, correlation coefficient (r), and root mean square error (RMSE), delivering higher-quality seismograms. …”
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A Practical Approach for a Wide Range of Liver Iron Quantitation Using a Magnetic Resonance Imaging Technique by Ping Hou, Uday R. Popat, Richard J. Lindsay, Edward F. Jackson, Haesun Choi

“…The dual- acquisition method also improved the ability to quantify HIC of the patients with hepatic steatosis.…”
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Network archaeology: uncovering ancient networks from present-day interactions. by Saket Navlakha, Carl Kingsford

“…How have different members of a protein complex assembled together over time? Our ability to answer such questions has been limited by the unavailability of ancestral protein-protein interaction (PPI) networks. …”
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Unlocking body-surface physiological evolution via IR-temperature dual sensing with single chalcogenide fiber by Yanqing Fu, Shiliang Kang, Gangjie Zhou, Xinxiang Huang, Linling Tan, Chengwei Gao, Shixun Dai, Changgui Lin

“…Abstract Improvements to body-surface physiological monitoring ability including real-time, accuracy and integration, are essential to meet the expansive demands for personal healthcare. …”
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Accuracy of small and medium field of view CBCT in differentiation between periapical cystic and solid lesions by Dania AlMadi, Malak Al-Hadlaq, Ohoud AlOtaibi, Asma'a Al-Ekrish

“…Results: The intra-examiner and inter-examiner reliability, demonstrated as the intraclass correlation coefficient of the lesion’s and dentin’s grey density values were excellent. …”
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Synergistic Evolution in the Digital Transformation of the Whole Rural E-Commerce Industry Chain: A Game Analysis Using Prospect Theory by Yanling Wang, Junqian Xu

“…Improving innovation ability is the key factor in alleviating the negative impact of uncertainty on the decision-making of both parties. …”
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Birdsong Recognition Based on Attention Hash Algorithm Combined with Contrastive Loss by WANG Yuwei, CHEN Aibin, ZHOU Guoxiong, ZHANG Zhiqiang

“…The first stage of the hash algorithm solves the problem of redundancy and noise by firstly dividing the logarithmic Mel spectrogram and calculating the self-attention between each fragment, extracting the calculated multi-level self-attention weight matrix, and then using the weight matrix weighted by the custom noise suppression coefficient to trim the redundancy and noise fragments in the input. …”
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Kolmogorov-Arnold Vision Transformer for Image Reconstruction in Lung Electrical Impedance Tomography by Ibrar Amin, Shuaikai Shi, Hasan AlMarzouqi, Zeyar Aung, Waqar Ahmed, Panos Liatsis

“…The fully connected layers in the transformer are replaced with KAN layers, which enhances its ability to learn the complex relationship between the voltage measurements and the conductivity distribution within the lungs. …”
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Photothermal and magnetic studies of Ni@Au nanotubes for anti-cancer therapies by Anton Anikin, Alena Shumskaya, Anna Motorzhina, Anastasia Gurevich, Sergey Bedin, Ilia Doludenko, Dinara Khairetdinova, Victor Belyaev, Kateryna Levada, Valeria Rodionova, Larissa Panina

“…Anisotropic ferromagnetic micro- and nanoparticles made of 3d metals demonstrate the ability to effectively influence micro- and nanoscale biological entities through hyperthermia and mechanical vibrations induced by magnetic fields. …”
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