Characteristics of ultrafine-nano bubbles and its enhancing mechanism for the mineralization reaction of fly ash by Xiwen YIN, Qiuge YU, Xiaodong SUN, Zhichao GAN, Yong CUI, Hairong YUE, Zhihui WANG

“…The preparation of mine filling materials by the mineralization reaction of fly ash and CO2 from flue gas not only solves the problem of large-scale coal-based solid waste stockpiling but also reduces the carbon emissions of coal-fired power plants, which is an effective technique to achieve the low-carbon and green development. …”
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Lessons Learned from the LBS2ITS Project—An Interdisciplinary Approach for Curricula Development in Geomatics Education by Günther Retscher, Jelena Gabela, Vassilis Gikas

“…Additionally, the paper delves into the theoretical frameworks underpinning the methodologies employed in the project. These include Problem-Based Learning (PBL) and Problem-Based e-Learning (PBeL), both of which encourage active student engagement and foster critical thinking by having students tackle real-world problems. …”
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NEW TYPE OF ELASTIC ROTATIONAL WAVES IN GEO-MEDIUM AND VORTEX GEODYNAMICS by Alexander V. Vikulin

“…Helmgolz, Lord Kelvin and others within the framework of classical physics and in the first half of the 20th century by scientists in quantum physics and cosmogony, both «quantum structure» («lumpiness») and rotation («vorticity») are integral features of matter – space – time throughout the whole range from elementary particles to galaxies and galactic clusters.Nowadays researchers in natural sciences, particularly in the Earth sciences, call attention again to the problem of structure of matter and its movements. …”
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Internet service providers as subjects of prevention of sexual crime on the Internet by A. K. Zharova

“…However, not all articles establishing criminal liability for violation of the sexual inviolability of children contain a qualifying feature - this is the use of the Network in the implementation of such activities. …”
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Eliminating Heavy Metals from Water with Nano-Sheet Minerals as Adsorbents by Shaoxian Song

“…The ingestion of the heavy metals-contaminated water would raise serious health problems to human beings even at a low concentration. …”
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APMAT analysis reveals the association between CD8 T cell receptors, cognate antigen, and T cell phenotype and persistence by Jingyi Xie, Daniel G. Chen, William Chour, Rachel H. Ng, Rongyu Zhang, Dan Yuan, Jongchan Choi, Michaela McKasson, Pamela Troisch, Brett Smith, Lesley Jones, Andrew Webster, Yusuf Rasheed, Sarah Li, Rick Edmark, Sunga Hong, Kim M. Murray, Jennifer K. Logue, Nicholas M. Franko, Christopher G. Lausted, Brian Piening, Heather Algren, Julie Wallick, Andrew T. Magis, Kino Watanabe, Phil Mease, Philip D. Greenberg, Helen Chu, Jason D. Goldman, Yapeng Su, James R. Heath

“…Abstract Elucidating the relationships between a class I peptide antigen, a CD8 T cell receptor (TCR) specific to that antigen, and the T cell phenotype that emerges following antigen stimulation, remains a mostly unsolved problem, largely due to the lack of large data sets that can be mined to resolve such relationships. …”
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Lightweight obstacle detection for unmanned mining trucks in open-pit mines by Guangwei Liu, Jian Lei, Zhiqing Guo, Senlin Chai, Chonghui Ren

“…Abstract This paper aims to solve the problem of the difficulty in balancing the model size and detection accuracy of the unmanned mining truck detection network in open-pit mines, as well as the problem that the existing model is not suitable for mining truck equipment. …”
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Harnessing natural polymers and nanoparticles: Synergistic scaffold design for improved wound healing by Anitha S, Nandini Robin Nadar, Srividya Shivakumar, Sharma S C, Siddharth P, Surekha Varalakshmi V, Rajesh Lenka, Rajadurai S

“…Hence, early clinical intervention becomes crucial in managing the problem. Wound care involves many strategies from simple local dressing to complex debridement techniques such as bioactive dressings and skin grafting. …”
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Transfer learning and single-polarized SAR image preprocessing for oil spill detection by Nataliia Kussul, Yevhenii Salii, Volodymyr Kuzin, Bohdan Yailymov, Andrii Shelestov

“…We investigated the effectiveness of various neural network architectures and encoders for this task, focusing on scenarios with limited training data. The research problem centered on enhancing feature extraction from single-channel SAR data to improve oil spill detection performance.Our methodology involved developing a novel preprocessing pipeline that converts single-channel SAR data into a three-channel RGB representation. …”
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Self-charging and long-term face masks leveraging low-cost, biodegradable and sustainable piezoelectric nanofiber membrane by Zhenqi Wang, Zhuomin Zhang, Zehua Peng, Xiaodan Yang, Xuemu Li, Yao Shan, Bingren Liu, Xiaote Xu, Yongsheng Gao, Zhengbao Yang

“…The mass discarding face masks has caused severe environmental problems during and after the COVID-19 pandemic. To reduce waste and minimize environmental impact, we present a new face mask featuring self-charging extended service time and fully biodegradable materials. …”
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GPT-NAS: Neural Architecture Search Meets Generative Pre-Trained Transformer Model by Caiyang Yu, Xianggen Liu, Yifan Wang, Yun Liu, Wentao Feng, Xiong Deng, Chenwei Tang, Jiancheng Lv

“…However, the existing NAS methods suffer from the following problem using traditional search strategies, i.e., when facing a large and complex search space, it is difficult to mine more effective architectures within a reasonable time, resulting in inferior search results. …”
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Region‐based fully convolutional networks with deformable convolution and attention fusion for steel surface defect detection in industrial Internet of Things by Meixia Fu, Jiansheng Wu, Qu Wang, Lei Sun, Zhangchao Ma, Chaoyi Zhang, Wanqing Guan, Wei Li, Na Chen, Danshi Wang, Jianquan Wang

“…However, many typical convolutional neural networks‐based methods are insensitive to the problem of unclear boundaries. In this article, the authors develop a region‐based fully convolutional networks with deformable convolution and attention fusion to adaptively learn salient features for steel surface defect detection. …”
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Open Source Evaluatology: An evaluation framework and methodology for open source ecosystems based on evaluatology by Fanyu Han, Shengyu Zhao, Wei Wang, Aoying Zhou, Weining Qian, Xuan Zhou, Jiaheng Peng, Lan You, Yang Chen, Xiaoya Xia, Yenan Tang, Liyun Yang, Chunqi Tian

“…A combined evaluation model (EM) based on statistical metrics and network metrics is also introduced; (3) Experimental validation using the GitHub dataset shows that the proposed evaluation framework effectively assesses various features of open-source projects, developers, and communities, and has been verified in multiple practical application scenarios. …”
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Altered Morphological Characteristics Associated With Spatial Working Memory Performance in Children With ADHD by Lanfang Chen, Yishan Lin, Qianhui Wang, Chao Zhang, Shuqin Zhang, Rui Li, Lili Lin, Qianqian Sun, Yi Zeng

“…Background: Spatial working memory (SWM) deficit is a common problem in attention deficit disorder with hyperactivity (ADHD), often correlating with the severity of ADHD symptoms and academic difficulties. …”
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The Bayesian reconstruction and the evolutionary history of Salivirus type 1 and type 2: the worldwide spreading by Silvia Angeletti, Domenico Benvenuto, Marta Fogolari, Cecilia De Flora, Giancarlo Ceccarelli, Ivana Maida, Riccardo Bazzardi, Silvia Spoto, Stefano Pascarella, Boban Mugosa, Massimo Ciccozzi

“… Introduction: Salivirus (SalV) represents an emerging problem in public health especially during the recent years. …”
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Application of deep learning for coherent pixel selection in time series InSAR for urban area and transport infrastructure monitoring by S. Azadnejad, A. Kandiri, A. Hrysiewicz, F. O’Loughlin, E.P. Holohan, S. Dev, S. Donohue

“…Unlike previous complex deep learning approaches to this problem, a multi-layer perceptron (MLP) model is trained on time-domain and frequency-domain features extracted from a time series of SAR amplitude images to predict the temporal coherence value of each individual pixel, and thus to select coherent pixels. …”
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Russian consensus statement on the diagnosis and treatment of patients with carotid stenosis by M. A. Chernyavsky, O. B. Irtyuga, S. N. Yanishevsky, A. S. Alieva, K. A. Samochernykh, K. B. Abramov, T. V. Vavilova, V. A. Lukyanchikov, D. I. Kurapeev, A. G. Vanyurkin, D. V. Chernova, N. K. Shelukhanov, А. V. Kozlyonok, Z. A. Kavteladze, M. V. Malevanny, R. A. Vinogradov, T. N. Khafizov, G. E. Ivanova, N. V. Zhukovskaya, A. A. Fokin, I. M. Ignatiev, A. A. Karpenko, P. V. Ignatenko, D. A. Astapov, V. Yu. Semenov, V. A. Porkhanov, V. V. Krylov, D. Yu. Usachev, A. V. Svetlikov, B. G. Alekyan, R. S. Akchurin, A. M. Chernyavsky, A. O. Konradi, E. V. Shlyakhto

“…Carotid stenosis is a multidisciplinary problem that requires the involvement of a specialists’ team, including cardiovascular surgeons, neurosurgeons, endovascular surgeons, cardiologists, neurologists, and internists. …”
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Evaluating the performance of pixel-based and object-based multidimensional clustering algorithms for automated surface water mapping by Bohao Li, Kai Liu, Ming Wang, Yanfang Wang, Linmei Zhuang, Weihua Zhu, Chenxia Li, Linhao Zhang, Yanan Chen

“…Unsupervised classification holds promise for automating large-scale surface water detection, and it helps solve the difficult problem of sample collection in supervised classification. …”
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High Spatial Resolution in Total Water Storage Variations Inferred From GPS: Case Study in the Great Lakes Watershed, US by Shuo Zheng, Zizhan Zhang, Bridget R. Scanlon, Haoming Yan, Alexander Y. Sun, Ashraf Rateb, Yan Li

“…We also could effectively capture fine‐scale TWS features than GRACE/GFO mascon products. GRACE/GFO satellites largely underestimate seasonal and long‐term TWS spatial fluctuations, but their temporal patterns coincide with those from GPS. …”
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Signal-domain speed-of-sound correction for ring-array-based photoacoustic tomography by Daohuai Jiang, Hengrong Lan, Shangqing Tong, Xianzeng Zhang, Fei Gao

“…Photoacoustic tomography (PAT) reconstructs images by solving the inverse problem from detected photoacoustic waves to initial pressure map. …”
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