LLM-Driven Social Influence for Cooperative Behavior in Multi-Agent Systems by J. de Curto, I. de Zarza

“…In addition, the influence values exhibit a near-normal distribution (Shapiro-Wilk test, <inline-formula> <tex-math notation="LaTeX">$p = 0.285$ </tex-math></inline-formula>) and yield a large effect size (Cohen&#x2019;s <inline-formula> <tex-math notation="LaTeX">$d = 4.530$ </tex-math></inline-formula>) when comparing agents with high versus low network centrality. Through visualization techniques and statistical metrics, we demonstrate the effectiveness of the proposed framework and identify promising directions for future research in AI-driven social influence. …”
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The Effectiveness, Tolerability, and Safety of Different 1-Day Bowel Preparation Regimens for Pediatric Colonoscopy by Anna Szaflarska-Popławska, Dominika Tunowska, Ola Sobieska-Poszwa, Aneta Krogulska

“…All of the patients completed colonoscopies with visualization of the cecum. There was no difference among the groups for the mean BBPS score. …”
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Generative Artificial Intelligence-Enabled Facility Layout Design Paradigm by Fuwen Hu, Chun Wang, Xuefei Wu

“…The convolutional knowledge graph embedding (ConvE) method is employed for link prediction, converting entities and relationships into low-dimensional vectors to infer optimal spatial arrangements while addressing data sparsity through negative sampling. …”
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Weakly Supervised Semantic Segmentation of Remote Sensing Images Using Siamese Affinity Network by Zheng Chen, Yuheng Lian, Jing Bai, Jingsen Zhang, Zhu Xiao, Biao Hou

“…In recent years, weakly supervised semantic segmentation (WSSS) has garnered significant attention in remote sensing image analysis due to its low annotation cost. To address the issues of inaccurate and incomplete seed areas and unreliable pseudo masks in WSSS, we propose a novel WSSS method for remote sensing images based on the Siamese Affinity Network (SAN) and the Segment Anything Model (SAM). …”
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Advancement of 3D printing technology for the development of a training model in US‐guided vesicoamniotic shunting for early LUTO therapy by Florian Recker, Tobias Schremmer, Christoph Berg, Valentin Sebastian Schäfer, Brigitte Strizek, Jorge Jimenez‐Cruz

“…To address this gap, we present a low‐cost 3D‐printed ultrasound training model for VAS in LUTO fetuses. …”
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Automated detection of sea cucumbers in turbid subtidal marine habitats: An explainable approach by Cheryl Chu, Yi-Fei Gu, Adrian Wong, Bayden D. Russell

“…This enables researchers to visually validate the model outputs and effectively identify areas for refinement. …”
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Real-time pest monitoring with RSCDet: Deploying a novel lightweight detection model on embedded systems by Weiyue Xu, Qiong Su, Tianyu Ji, Haonan Sun, Wei Chen, Changying Ji, Tianyi Wang

“…In real-world aphid monitoring tasks, the system demonstrated 84.5 % counting accuracy in high-density aphid infestations and operated with a low latency of only 0.25 s for remote result feedback. …”
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NTMS based tractography and segmental diffusion analysis in patients with brainstem gliomas: Risk stratification and clinical potential by Lion Weiß, Fabia Roth, Pierre Rea-Ludmann, Tizian Rosenstock, Thomas Picht, Peter Vajkoczy, Anna Zdunczyk

“…In all patients nTMS mapping and somatotopic tractography were performed successfully. Low FA values correlated with clinical symptoms revealing tract alteration by the tumor (p = 0.049). …”
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Comparison of Machine Learning and Deep Learning Models Performance in predicting wind energy by Saswati Rakshit, Anal Ranjan Sengupta

“…From the experiment, Random Forest, GBM, and KNN showed the best performance with low MSE values of 0.77, 1.95, and 1.51 respectively, while other models had MSEs above 7.5, with AdaBoost reaching 30. …”
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IFNet: An Interactive Frequency Convolutional Neural Network for Enhancing Motor Imagery Decoding From EEG by Jiaheng Wang, Lin Yao, Yueming Wang

“…Detailed analysis and visualization verify IFNet can capture the coupling across frequency bands along with the known MI signatures. …”
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Integrating Learning Analytics and Collaborative Learning for Improving Student&#x2019;s Academic Performance by Adnan Rafique, Muhammad Salman Khan, Muhammad Hasan Jamal, Mamoona Tasadduq, Furqan Rustam, Ernesto Lee, Patrick Bernard Washington, Imran Ashraf

“…To support such changes, a visualization system is also developed to track and monitor the performance of students, groups, and overall class to help teachers in the regrouping of students concerning their performance. …”
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Raster Image-Based House-Type Recognition and Three-Dimensional Reconstruction Technology by Jianbo Chang, Yunlei Lv, Jian Wang, Hao Pang, Yaqiu Liu

“…Three-dimensional models reconstructed from two-dimensional floor plans provide more intuitive visualization for building safety assessments and spatial suitability evaluations. …”
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Construction of knowledge graph for gas polyethylene pipelines based on ALBERT-BiGRU-CRF by Zhilong Yu, Juan Zhou, Qiang Wang, Haiting Zhou, Yun Song, Chenjia Zong

“…However, the current O&M process faces challenges, including weak information relevance and low decision-making efficiency. In contrast to the well-established O&M knowledge system for metal pipelines, failure modes in polyethylene pipelines—such as material ageing and third-party damage—lack systematic knowledge modelling. …”
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Fluorescent EGTA-derived carbon dots for turn on–off–on detection of Fe3+ and ascorbic acid via hydrothermal synthesis and cellular imaging by Kanwal Iqbal, Anam Iqbal, Wenwu Qin, Muhammad Imran, Zeeshan Ajmal, Imran Khan, Guolong Xing

“…The resulting CDs exhibit dual-mode fluorescence sensing, selectively detecting Fe3+ through a fluorescence quenching mechanism, with an ultra-low detection limit of 23 nM. Notably, the quenched fluorescence is fully restored upon the introduction of ascorbic acid (AA), enabling a highly sensitive “off–on” detection system with a detection limit of 21 nM. …”
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Beyond X-Rays: Unveiling the Future of Dental Diagnosis with Dental Magnetic Resonance Imaging by Anusha Vaddi, Pranav Parasher, Sonam Khurana

“…While high-field MRI (3 T–7 T) improves resolution and increases susceptibility artifacts, low-field systems with specialized coils and short sequences offer promising alternatives. …”
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Study on simulation methods for flow experiments in fracture-cavity reservoirs by HUI Jian

“…However, current physical models for fracture-cavity systems struggle to meet both high-pressure resistance and visualization requirements, thus limiting the investigation of fluid flow mechanisms under reservoir conditions. …”
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Immunological Susceptibility of Metropolis Population to Measles in its Elimination Stage by A. V. Nozdracheva, M. N. Asatryan, M. N. Asatryan, I. S. Shmyr, I. F. Ershov, D. V. Solov’ev, V. M. Glinenko, S. N. Kuzin

“…With the help of GIS technology, the possibility of visualization of the disease spread in a specific period of time in a certain area of the observed city was shown. …”
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A Smart Web-Based Power Quality and Energy Monitoring System With Enhanced Features by Rami Moustafa, Hussain Shareef, Madathodika Asna, Rachid Errouissi, Jeyraj Selvaraj

“…The PQEm device includes time-frequency analysis to enhance visualization and characterization of voltage and current data. …”
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Exploring the chemical space of ionic liquids for CO2 dissolution through generative machine learning models by Xiuxian Chen, Guzhong Chen, Kunchi Xie, Jie Cheng, Jiahui Chen, Zhen Song, Zhiwen Qi

“…The re-balanced VAE transforms the chemical space of ILs into continuous latent space, which is demonstrated by t-distributed stochastic neighbor embedding (t-SNE) visualization and sampled ions of the latent space. ANN is connected with the re-balanced VAE to predict the CO2 solubility and the resultant VAE-ANN model achieves a low mean absolute error (MAE) of 0.022 on the test set. …”
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Atom Probe Tomography (APT) and Its Application in Ore Deposits by Peng TAO, Shiwen XIE, Tao LONG, Mingzhu MA, Xiaochao CHE

“…It can also host in the low angle boundary of pyrite related to deformation[24]. …”
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