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  1. 9721
  2. 9722

    PZS‐Net: Incorporating of Frame Sequence and Multi‐Scale Priors for Prostate Zonal Segmentation in Transrectal Ultrasound by Jianguo Ju, Qian Zhang, Pengfei Xu, Tiange Liu, Cheng Li, Ziyu Guan

    Published 2025-01-01
    “…First, a sequential frame cross‐attention (SFCA) module is designed to capture remote information from sequential frames to enhance the feature representation of the current frame. …”
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  3. 9723

    Is subsurface geophysics as seismic and acoustic investigations a rescue to groundwater flow inversion? by Delay, Frederick, Mari, Jean-Luc, Porel, Gilles, Chabaux, François, Ackerer, Philippe

    Published 2022-10-01
    “…The velocity block is then converted into pseudo-porosity values revealing three high-porosity, presumably water-productive, layers, at depths of 35–40, 85–87, and 110–115 m.In addition, full wave acoustic logging (FWAL) can detect, close to wells, porous or open bodies that are too small for being captured by the spatial resolution of 3-D seismic images. …”
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  4. 9724

    Prácticas evaluativas del colegio virtual Cibercolegio UCN en coherencia con la evaluación formativa by Juan Esteban Orrego Echavarría, Paula Michel Hincapié Yepes, Julián David Sepúlveda Zapata, Diego Fernando Zuluaga Avendaño

    Published 2025-01-01
    “…Este estudio puede promover prácticas evaluativas más efectivas y acordes con las necesidades educativas actuales, no solamente en el Cibercolegio UCN, sino en otras instituciones que se apoyen teóricamente en la evaluación formativa.…”
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  5. 9725

    Expert Comment Generation Considering Sports Skill Level Using a Large Multimodal Model with Video and Spatial-Temporal Motion Features by Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama

    Published 2025-01-01
    “…Our contributions are twofold: (1) We incorporate skill level classification results as inputs to the LMM, ensuring that feedback is appropriately tailored to the learner’s skill level; and (2) We integrate motion features that capture spatial-temporal information into the LMM, enhancing its ability to generate feedback based on the learner’s specific actions. …”
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  6. 9726

    LC-MS-Based Global Metabolic Profiles of Alternative Blood Specimens Collected by Microsampling by Marlene N. Thaitumu, Daniel Marques De Sá e Silva, Philippine Louail, Johannes Rainer, Glykeria Avgerinou, Anatoli Petridou, Vassilis Mougios, Georgios Theodoridis, Helen Gika

    Published 2025-01-01
    “…Despite their rich metabolic profiles, BµS did not capture metabolites associated with biological differentiation of sexes. …”
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  7. 9727

    TDCN: A novel temporal depthwise convolutional network for short-term load forecasting by Mingping Liu, Chenxu Xia, Yuxin Xia, Suhui Deng, Yuhao Wang

    Published 2025-04-01
    “…First, a dilated causal convolution is employed to optimize the depthwise convolution, taking advantage of its ability to exponentially increase sampling points and expand the receptive field, thereby improving the capture of temporal information within low-dimensional channels. …”
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  8. 9728

    Efficient continuous SF6/N2 separation using low-cost and robust metal-organic frameworks composites by Jinjian Li, Yuting Chen, Tian Ke, Yuanyuan Jin, Rongrong Fan, Guihong Xu, Liu Yang, Zhiguo Zhang, Zongbi Bao, Qilong Ren, Qiwei Yang

    Published 2025-01-01
    “…Abstract Physisorption presents a promising alternative to cryogenic distillation for capturing the most potent greenhouse gas, SF6, but existing adsorbents face challenges in meeting diverse chemical and engineering concerns. …”
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  9. 9729

    Macrophage Activities in Myocardial Infarction and Heart Failure by Sophia Esi Duncan, Shan Gao, Michael Sarhene, Joel Wake Coffie, Deng Linhua, Xingru Bao, Zhang Jing, Sheng Li, Rui Guo, Jing Su, Guanwei Fan

    Published 2020-01-01
    “…Macrophage population is active in inflammatory process, yet the clear understanding of the causative roles for these macrophage cells in HF development and progression is actually incomplete. Long ago, it was thought that macrophages are of importance in the heart after MI. …”
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  10. 9730
  11. 9731

    TraxVBF: A hybrid transformer-xLSTM framework for EMG signal processing and assistive technology development in rehabilitation by Seyyed Ali Zendehbad, Athena Sharifi Razavi, Marzieh Allami Sanjani, Zahra Sedaghat, Saleh Lashkari

    Published 2025-02-01
    “…Pre-processing and extracting muscle synergy patterns is performed by the Hierarchical Fast Alternating Least Squares (Fast-HALS) algorithm, and key movement points are identified with the Modified MediaPipe algorithm to capture temporal and spatial dynamics with precision using TraxVBF, which is driven by Extended Long Short-Term Memory (xLSTM) and Transformer architectures. …”
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  12. 9732

    Combining interictal intracranial EEG and fMRI to compute a dynamic resting-state index for surgical outcome validation by Varina L. Boerwinkle, Kristin M. Gunnarsdottir, Bethany L. Sussman, Sarah N. Wyckoff, Emilio G. Cediel, Belfin Robinson, William R. Reuther, Aryan Kodali, Sridevi V. Sarma

    Published 2025-01-01
    “…This approach aims to reduce reliance on capturing seizures during invasive monitoring to pinpoint the SOZ.MethodsWe computed the source-sink index (SSI) from rs-iEEG for all implanted regions and from rs-fMRI for regions identified as potential SOZs by noninvasive modalities. …”
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  13. 9733

    Patient perspectives on acromegaly disease burden: insights from a community meeting by Shruti N. Shah, Kevin C. J. Yuen, Vivien Bonert, Wenyu Huang, Jill Sisco, Chrystal Palaty, Kristen Dancel-Manning, Nidhi Agrawal

    Published 2025-02-01
    “…There is a great need to learn more about the perspectives of patients living with acromegaly.MethodsAcromegaly Community hosted a virtual meeting in January 2021 and prepared a detailed report capturing participants’ input on acromegaly symptoms and current and future treatment approaches. …”
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  14. 9734

    GastroFuse-Net: an ensemble deep learning framework designed for gastrointestinal abnormality detection in endoscopic images by Sonam Aggarwal, Isha Gupta, Ashok Kumar, Sandeep Kautish, Abdulaziz S. Almazyad, Ali Wagdy Mohamed, Frank Werner, Mohammad Shokouhifar

    Published 2024-08-01
    “…GastroFuse-Net was developed by combining features extracted from two different CNN models with different numbers of layers, integrating shallow and deep representations to capture diverse aspects of the abnormalities. The Kvasir dataset was used to thoroughly test the proposed deep learning model. …”
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  15. 9735

    A Reliable Generative Adversarial Network Approach for Climate Downscaling and Weather Generation by Neelesh Rampal, Peter B. Gibson, Steven Sherwood, Gab Abramowitz, Sanaa Hobeichi

    Published 2025-01-01
    “…CGANs are considerably more skillful in capturing climatological statistics, including the distribution and spatial characteristics of extreme events. …”
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  16. 9736

    Rapid and Specific Detection of Escherichia coli O157:H7 in Ground Beef Using Immunomagnetic Separation Combined with Loop-Mediated Isothermal Amplification by Qin Yu, Puthiyakunnon Santhosh, Zhang Yiduo, Wu Xianbo, Boddu Swapna, Luo Binde, Fan Hongying

    Published 2018-06-01
    “…The IMS followed with LAMP could capture and detect a bacterial concentration as low as 3×101 CFU/mL from the meat samples, which was close to the sensitivity of LAMP assay with pure culture. …”
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  17. 9737

    Discrete Fractional-Order Modeling of Recurrent Childhood Diseases Using the Caputo Difference Operator by Yasir A. Madani, Zeeshan Ali, Mohammed Rabih, Amer Alsulami, Nidal H. E. Eljaneid, Khaled Aldwoah, Blgys Muflh

    Published 2025-01-01
    “…Numerical simulations demonstrate the model’s effectiveness in capturing realistic scenarios, particularly the recurrent patterns observed in some childhood diseases.…”
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  18. 9738

    AxiWorm: a new tool using YOLOv5 to test antiparasitic drugs against Trichinella spiralis by Javier Sánchez-Montejo, Miguel Marín, María Alejandra Villamizar-Monsalve, María del Carmen Vieira, Belén Vicente, Rafael Peláez, Julio López-Abán, Antonio Muro

    Published 2025-02-01
    “…Here we developed a semi-automated system based on YOLOv5 to capture photographs of 96 well microplates and use them for L1 count and morphological damage evaluation after experimental drug treatments. …”
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  19. 9739

    The Application of Integrated Assisted History Matching and Embedded Discrete Fracture Model Workflow for Well Spacing Optimization in Shale Gas Reservoirs with Complex Natural Fra... by Qiwei Li, Jianfa Wu, Cheng Chang, Hongzhi Yang, Chuxi Liu, Wei Yu, Kamy Sepehrnoori, Jijun Miao

    Published 2021-01-01
    “…Firstly, the multiple realizations of thirteen uncertain parameters of matrix and fractures, including matrix permeability and porosity, three relative permeability parameters, hydraulic fracture height, half-length, width, conductivity, water saturation, and natural fracture number, length, and conductivity, were captured by the assisted history matching (AHM). The fractures were modeled by the embedded discrete fracture model (EDFM) accurately and efficiently. …”
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  20. 9740

    Infrared Image Enhancement: A Review by Qingwang Wang, Pengcheng Jin, Yuhang Wu, Liyao Zhou, Tao Shen

    Published 2025-01-01
    “…However, due to the limitations of infrared wavelengths and imaging technology, traditional infrared imaging devices struggle to capture rich texture information, leading to infrared images that lack texture details and have low resolution, which significantly restricts the further research and application of infrared imaging technology in various fields. …”
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