Self-weighted dual contrastive multi-view clustering network by Huajuan Huang, Yanbin Mei, Xiuxi Wei, Yongquan Zhou

“…Then, we obtain consensus information across views through global feature fusion, measuring the pairwise representation discrepancy by maximizing the consistency between the view-specific representations and global feature representations. …”
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Efficient identification of maximum independent sets in stochastic multilayer graphs with learning automata by Mohammad Mehdi Daliri Khomami, Mohammad Reza Meybodi, Alireza Rezvanian

“…The identification of a maximum independent set -comprising nodes without direct connections- offers a significant understanding of phenomena such as information diffusion, resource allocation, and epidemic spread within complex social networks. …”
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Determining the phylogenetic and phylogeographic origin of highly pathogenic avian influenza (H7N3) in Mexico. by Lu Lu, Samantha J Lycett, Andrew J Leigh Brown

“…A further joint analysis among segments was performed using a hierarchical phylogenetic model (HPM) which allowed trait rates (location, subtype, host species) to be jointly inferred across different segments. The complete spatial diffusion process was visualised through virtual globe software. …”
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Artificial intelligence in South African universities: curriculum transformation and decolonisation—aid or obstacle? by Charles Maimela, Palesa Mbonde

“…Grounded in empirical research, this study investigates whether AI serves as an aid or an obstacle in South African higher education, with a specific focus on Historically White Universities (HWUs) and Historically Black Universities (HBUs). Using the Diffusion of Innovation (DOI) theory as a framework, the research explores disparities in AI adoption across institutions, analysing infrastructural constraints, policy gaps, and the broader implications of AI for knowledge production. …”
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Diagnostic utility of whole body Dixon MRI in multiple myeloma: A multi-reader study. by Timothy J P Bray, Saurabh Singh, Arash Latifoltojar, Kannan Rajesparan, Farzana Rahman, Priya Narayanan, Sahar Naaseri, Andre Lopes, Alan Bainbridge, Shonit Punwani, Margaret A Hall-Craggs

“…Lesion count, true positives, sensitivity, and positive predictive value were compared across the four Dixon image types.<h4>Results</h4>Lesion count, true positives, sensitivity and confidence scores were all significantly higher on FO images than on IP images (p>0.05).…”
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Freezing induced incorporation of betaine in lipid nanoparticles enhances mRNA delivery by Xingdi Cheng, Xia Zheng, Kun Tao, Haonan Huo, Zhang Liu, Xueguang Lu, Jianjun Wang

“…This creates a steep concentration gradient of CPAs across the lipid membrane that drives passive CPAs diffusion into LNPs. …”
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Reconfigurable application-specific photonic integrated circuit for solving partial differential equations by Ye Jiachi, Shen Chen, Peserico Nicola, Meng Jiawei, Ma Xiaoxuan, Nouri Behrouz Movahhed, Popescu Cosmin-Constantin, Hu Juejun, Kang Haoyan, Wang Hao, El-Ghazawi Tarek, Dalir Hamed, Sorger Volker J.

“…The programmable light-circuitry presented herein offers a facile route for solving complex problems and thus will have profound potential applications across many scientific and engineering fields.…”
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Hepatobiliary phase manifestations of breast cancer liver metastasis: differentiating molecular types through Gd-EOB-DTPA-enhanced MRI by Hui Jiang, Jin-Rong Qu, Li-Feng Wang, Peng-Rui Gao, Bing-Jie Zheng, Hong-Kai Zhang, Li-Na Jiang

“…This is invaluable in the imaging diagnosis of BCLM across different molecular type. Clinical trial number Not applicable.…”
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Investigating the antibiotic resistance pattern of uropathogenic Escherichia coli isolated from urinary tract infections in outpatients referred to Kashan Reference Laboratory dur... by Yasin Kalantari, Azad Khaledi, Maede Najafizade, Gholam Abbas Mousavi, Iman Saffari

“…Background and Aim: Understanding the antibiotic resistance profile of uropathogenic Escherichia coli in urinary tract infections (UTIs) across different populations and regions is crucial for appropriate antibiotic prescribing practices. …”
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Fetal-BET: Brain Extraction Tool for Fetal MRI by Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour

“…Our dataset covers the three common MRI sequences including T2-weighted, diffusion-weighted, and functional MRI acquired with different scanners. …”
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Linking online activity to offline behavior: A meta-review of three decades of online-to-offline scholarship with future implications for AI by Scott Leo Renshaw, Kathleen M. Carley

“…This review article provides the first comprehensive examination of the current state of knowledge, across disciplinary divides, on how online influences impact offline behaviors, laying the necessary groundwork for investigating and researching the potential impact that these new technologies will have on our “offline” lives. …”
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A persistent radon anomaly signal preceding the destructive 7.7 Mw earthquake in Myanmar on March 28, 2025 by B. K. Sahoo, B. K. Sapra, Arshad Khan, M. P. Ratheesh, D. H. Kumbhar, J. J. Gaware, S. D. Kanse, Sumitra Phanjoubam, D. K. Aswal

“…The radon signal, with a build-up period of approximately 109 days and a decay of ~ 96 h, closely matched the spatial and temporal characteristics of the dilatancy-diffusion model. A pooled analysis of radon anomalies from ten earthquake events, including this major event, across multiple Indian observatories of INDRA reveals a robust positive correlation (r = 0.96, R2 = 0.93) between radon buildup duration and earthquake magnitude. …”
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The potential of generative AI with prostate-specific membrane antigen (PSMA) PET/CT: challenges and future directions by Islam Md Zobaer, Spiro Ergi, Yap Pew-Thian, Gorin Michael A., Rowe Steven P.

“…., generative adversarial networks, variational autoencoders, diffusion models, and large language models have played crucial roles in overcoming many such challenges across various imaging modalities, including PET, computed tomography, magnetic resonance imaging, ultrasound, etc. …”
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AI adoption in Chinese universities: Insights, challenges, and opportunities from academic leaders by Xibing Wang, Shuli Zhao, Xiaoshu Xu, Huanhuan Zhang, Vivian Ngan-Lin Lei

“…The study suggests future research on AI's long-term educational impact, policy effectiveness, and its integration across disciplines. This research offers valuable insights into the challenges of AI integration in Chinese higher education and provides practical guidance for its global application.…”
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Powder diffraction crystal structure determination using generative models by Qi Li, Rui Jiao, Liming Wu, Tiannian Zhu, Wenbing Huang, Shifeng Jin, Yang Liu, Hongming Weng, Xiaolong Chen

“…Abstract Accurate crystal structure determination is critical across all scientific disciplines involving crystalline materials. …”
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Inverse design of 3D nanophotonic devices with structural integrity using auxiliary thermal solvers by Kuster Oliver, Augenstein Yannick, Hernández Roberto Narváez, Rockstuhl Carsten, Sturges Thomas Jebb

“…3D additive manufacturing enables the fabrication of nanophotonic structures with subwavelength features that control light across macroscopic scales. Gradient-based optimization offers an efficient approach to design these complex and non-intuitive structures. …”
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Eye features and retinal photoreceptors of the nocturnal aardvark (Orycteropus afer, Tubulidentata). by Leo Peichl, Sonja Meimann, Irina Solovei, Irene L Gügel, Christina Geiger, Nicole Schauerte, Karolina Goździewska-Harłajczuk, Joanna E Klećkowska-Nawrot, Gudrun Wibbelt, Silke Haverkamp

“…However, there was colocalization of the two opsins in many cones across the retina (35 - 96% dual pigment cones). Pure L cones and S cones formed smaller populations. …”
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Dynamic Adaptive Parametric Social Network Analysis Using Reinforcement Learning: A Case Study in Topic-Aware Influence Maximization by Mohammad Hossein Ahmadikia, Mehdy Roayaei

“…Current network analysis algorithms often rely on search methods or centrality measures but face challenges such as 1) The solution space is large, resulting in high computational complexity. 2) Algorithms may be instance-dependent, relying considerably on network structure and characteristics, which may result in varying performance across different networks. 3) Most existing centrality measures are inherently static, which fail to capture the dynamic nature inherent in network analysis problems. …”
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Preening for protection: a systematic review of the antimicrobial properties of uropygial secretions by Carlos Mora‐Rubio, Luz García‐Longoria, Alfonso Marzal

“…This review consolidates existing literature on the antimicrobial activity of uropygial secretion or related compounds against bacteria and fungi across different bird species. A comprehensive search identified 35 studies, showcasing a variety of techniques used to assess antimicrobial activity, including agar diffusion, colony‐forming unit (CFU) counting, and flow cytometry. …”
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A cohesive zone model to simulate the hydrogen embrittlement effect on a high-strength steel by G. Gobbi, C. Colombo, L. Vergani

“…It drives the initial hydrogen concentration assigned in the second step, a mass diffusion analysis, defining in this way the contribution of hydrogen moving across the interstitial lattice sites. …”
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