Showing 1,781 - 1,800 results of 2,557 for search '(functional OR function) gradient', query time: 0.18s Refine Results
  1. 1781

    4f-modified Ru-O polarity as a descriptor for efficient electrocatalytic acidic oxygen evolution by Xiuxiu Zhang, Yuhao Zhang, Bogdan O. Protsenko, Mikhail A. Soldatov, Jing Zhang, Chenyu Yang, Shuowen Bo, Huijuan Wang, Xin Chen, Chao Wang, Weiren Cheng, Qinghua Liu

    Published 2025-07-01
    “…We find that the OER activity of 4f-RuO2 shows a volcano shape as a function of the polarity of Ru–O bond. Consequently, the best 4f-Nd-RuO2 catalyst possesses an ultra-low overpotential of 214 mV at 10 mA cm−2 and robust electrochemical stability in 0.1 M HClO4. …”
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  2. 1782

    Longitudinal Cell Tracking and Simultaneous Monitoring of Tissue Regeneration after Cell Treatment of Natural Tendon Disease by Low-Field Magnetic Resonance Imaging by Dagmar Berner, Walter Brehm, Kerstin Gerlach, Claudia Gittel, Julia Offhaus, Felicitas Paebst, Doreen Scharner, Janina Burk

    Published 2016-01-01
    “…Clinical and ultrasonographical findings as well as T2-weighted MRI series indicated a gradual improvement of tendon function and structure.…”
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  3. 1783

    Chiral phase-imaging meta-sensors by Erturan Ahmet M., Liu Jianing, Roueini Maliheh A., Malamug Nicolas, Tian Lei, Paiella Roberto

    Published 2025-03-01
    “…These unique capabilities may be exploited to enable new functionalities for applications in chemical sensing, biomedical microscopy, and machine vision.…”
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  4. 1784

    Re-understanding and mitigating hydrogen release chemistry toward reversible aqueous zinc metal batteries by Bo Liu, Zhibin Xu, Cong Wei, Zixuan Zhu, Yanyan Fang, Xin Lei, Ya Zhou, Chongyang Tang, Shiyi Ni, Hongge Pan, Gongming Wang

    Published 2025-05-01
    “…To address this issue, we systematically screened the organic additives with different molecular structures and functional groups. Interestingly, a positive correlation between the adsorption strength of additives and the ability to inhibit the interfacial hydrogen release is found. …”
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  5. 1785

    Thermal tipping points in mediterranean mussel adhesion: molecular mechanisms and mechanical consequences of heatwave on byssus production in Mytilus galloprovincialis by Antonina De Marco, Vito Antonio Baldassarro, Corinne Quadalti, Valentina Burato, Laura Calzà, Luciana Giardino, Devis Montroni, Giuseppe Falini, Gabriela Graziani, Nicolas Greggio, Francesco Dondi, Maria Giulia Ferrari, Pier Paolo Gatta, Luca Parma, Alessio Bonaldo

    Published 2025-07-01
    “…We demonstrated that 30 days exposure at 28 °C, alters molecular and functional properties of mussel foot. Results revealed severe downregulation in the synthesis of the proximal, distal and non-gradient pre-collagen byssus components. …”
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  6. 1786

    Different growth responses to feed ration levels in two freshwater turtle juveniles, the Chinese three-keeled pond turtle Mauremys reevesii and the red-eared slider Trachemys scrip... by Changyi Zhang, Shufen Jiang, Xinyue Liu, Siting Zhong, Wenyi Zhang

    Published 2025-09-01
    “…Raised feed rations changed redox homeostasis and decreased immune function in M. reevesii. High feed rations increased gut pathogens in M. reevesii whereas increased the probiotic Lactobacillus in the gut of T. scripta elegans. …”
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  7. 1787

    Artificial intelligence for screening and early diagnosis of pancreatic neoplasms in the context of centralization of the laboratory service in the region by S. I. Panin, V. A. Suvorov, A. V. Zubkov, S. A. Bezborodov, A. A. Panina, N. V. Kovalenko, A. R. Donsckaia, I. G. Shushkova, A. V. Bykov, Ya. A. Marenkov

    Published 2024-07-01
    “…A comparative assessment of machine learning techniques showed that the best option for creating the appropriate software was Hist Gradient Boosting (diagnostic accuracy 0.909, sensitivity 0.642, specificity 0.965, negative predictability 0.928, positive predictability 0.794, F1 0.828, logistic regression loss function 0.352, area under the ROC curve 0.89). …”
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  8. 1788

    Explainable machine learning models for identifying mild cognitive impairment in older patients with chronic pain by Xiaoang Zhang, Yuping Liao, Daying Zhang, Weichen Liu, Zhijian Wang, Yaxin Jin, Shushu Chen, Jianmei Wei

    Published 2025-01-01
    “…Data collected included patients’ general information, cognitive function, pain level, depression, and sleep quality. …”
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  9. 1789

    In Situ Cross-Linked Porous Starch Microencapsulation Enhances the Colonization of <i>Lactobacillus</i> In Vivo by Xiaojun Zhang, Ying Liang, Hao Bai, Quanhua Huang, Dongming Liu, Guanglei Ma, Xiangrui Liu

    Published 2025-06-01
    “…These findings indicate the potential function of the in situ cross-linked porous starch microcapsules as a robust delivery system to enhance the colonization of probiotics in vivo.…”
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  10. 1790

    From Pretransit to Posteclipse: Investigating the Impact of 3D Temperature, Chemistry, and Dynamics on High-resolution Emission Spectra of the Ultrahot Jupiter WASP-76b by Joost P. Wardenier, Vivien Parmentier, Elspeth K. H. Lee, Michael R. Line

    Published 2025-01-01
    “…We then cross correlate the spectra with different templates to obtain cross-correlation function and K _p – V _sys maps. For each species, our models produce consistently negative K _p offsets in pre- and posteclipse, which are driven by planet rotation. …”
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  11. 1791

    Effects of water nutrient concentrations on stream macroinvertebrate community stoichiometry: a large-scale study by Beck, Miriam, Billoir, Elise, Usseglio-Polatera, Philippe, Meyer, Albin, Gautreau, Edwige, Danger, Michael

    Published 2024-07-01
    “…Our results show that assumptions from Ecological Stoichiometry Theory also hold at the community level, at least for two dominant taxa, and on a large spatial scale, with likely consequences for nutrient cycling and ecosystem function.…”
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  12. 1792

    Efficient and Effective NDVI Time-Series Reconstruction by Combining Deep Learning and Tensor Completion by Ang Li, Menghui Jiang, Dong Chu, Xiaobin Guan, Jie Li, Huanfeng Shen

    Published 2025-01-01
    “…Considering the temporal continuity and spatial correlation of NDVI time-series data, we combine long short-term memory with a convolution (LSTM-Conv) structure and utilize residual learning and dense connection strategies to mine the spatiotemporal features in depth. Multidimensional gradient constraints are introduced in the loss function to retain critical information. …”
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  13. 1793

    A Design Framework for Scalable and Adaptive Multi-Agent Coordination in Dynamic Environments: Addressing Concurrent Agent and Environment Interactions by Raza Muhammad Kazim, Guoxin Wang, Zhenjun Ming, Jinhui Cao, Janet K. Allen, Farrokh Mistree

    Published 2025-01-01
    “…Performance comparison charts and loss function graphs emphasize AADMA&#x2019;s superiority in addressing the complexities of real-time coordination and adaptability. …”
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  14. 1794

    Prox-STA-LSTM: A Sparse Representation for the Attention-Based LSTM Networks for Industrial Soft Sensor Development by Yurun Wang, Yi Huang, Dongsheng Chen, Longyan Wang, Lingjian Ye, Feifan Shen

    Published 2024-01-01
    “…The <inline-formula> <tex-math notation="LaTeX">$\ell _{1}$ </tex-math></inline-formula>-regularization, which is a popular means to promote sparsity, is introduced into the loss function of the STA-LSTM. The <inline-formula> <tex-math notation="LaTeX">$\ell _{1}$ </tex-math></inline-formula>-regularized formulation is a non-smooth optimization problem, which cannot be well solved by common gradient descent approaches. …”
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  15. 1795

    YOLO-UP: A High-Throughput Pest Detection Model for Dense Cotton Crops Utilizing UAV-Captured Visible Light Imagery by Chenglei Sun, Afizan Bin Azman, Zaiyun Wang, Xiaoxiao Gao, Kai Ding

    Published 2025-01-01
    “…YOLO-PEST incorporates a custom-designed SC3 module to enhance low-level feature extraction and employs the GeLU activation function to address the vanishing gradient issue. Additionally, the model optimizes the neck design to re-duce semantic discrepancies between feature layers, improving small-target detection, and integrates large-kernel separable convolutions to bolster high-level feature processing. …”
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  16. 1796

    A TD3-Based Reinforcement Learning Algorithm With Curriculum Learning for Adaptive Yaw Control in All-Wheel-Drive Electric Vehicles by Reza Jafari, Pouria Sarhadi, Amin Paykani, Shady S. Refaat, Pedram Asef

    Published 2025-01-01
    “…To improve adaptability and ability to handle nonlinearities via continuous learning, the proposed algorithm is built upon a twin delayed deep deterministic policy gradient (TD3) reinforcement learning (RL) algorithm for the optimal torque distribution across four wheels of the vehicle. …”
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  17. 1797

    Cryopreserved Aortic Homograft Replacement in Pediatric Patients: A Single-Center Experience with Midterm Follow-Up by Mustafa Kemal Avşar, Yasin Güzel, Barış Kırat, İbrahim Özgür Önsel, Deniz Yorgancılar, İlker Kemal Yücel, Cenap Zeybek, İbrahim Savaş Yıldırım

    Published 2025-05-01
    “…Early postoperative echocardiography showed satisfactory hemodynamic performance with a mean gradient of 8.4 ± 3.2 mmHg. At 5-year follow-up, 92.9% of grafts maintained normal function. …”
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  18. 1798

    Machine learning for asphaltene polarizability: Evaluating molecular descriptors by Arun K. Sharma, Owen McMillan, Selsela Arsala, Supreet Gandhok, Rylend Young

    Published 2025-06-01
    “…The Wolfram Language’s Predict function evaluated multiple machine learning algorithms—including Random Forest, Decision Tree, Gradient Boosted Trees, Nearest Neighbors, Linear Regression, Gaussian Process, and Neural Network—through an automated model selection process, serving as an AutoML framework. …”
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  19. 1799

    Thermodynamical Theory of Inelastic Single Crystals by Piotr Perzyna

    Published 2015-06-01
    “…A multiplicative decomposition of the deformation gradient is adopted and the Lie derivative is used to define all objectives rates for the introduced vectors and tensors. …”
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  20. 1800

    Efficient Trans-Dimensional Bayesian Inversion of C-Response Data from Geomagnetic Observatory and Satellite Magnetic Data by Rongwen Guo, Shengqi Tian, Jianxin Liu, Yi-an Cui, Chuanghua Cao

    Published 2024-11-01
    “…To investigate deep Earth information, researchers often utilize geomagnetic observatories and satellite data to obtain the conversion function of geomagnetic sounding, C-response data, and employ traditional inversion techniques to reconstruct subsurface structures. …”
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