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  1. 1781

    A novel classification on degenerative thoracolumbar kyphosis based on sagittal spino-pelvic alignment: should the thoracolumbar segments be intervened? by Haoyuan Li, Zhenqi Zhu, Yuqiao Li, Weiwei Xia, Chong Zhao, Chen Guo, Shuai Xu, Haiying Liu

    Published 2025-04-01
    “…In addition, the debate on the reasonable surgical strategies, for various patterns of DTLK, still continues. So, the study was to identify the features of DTLK, propose a novel classification of DTLK, and develop surgical strategies for this population. …”
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    Article
  2. 1782

    Facilitators, barriers, and recommendations for mobile health applications among Chinese older populations: a scoping review by Wilson Kin Chung Leung, Connie Yim Ching Yau, Simon Ching Lam

    Published 2025-05-01
    “…Given that recent evidence has reported distinct mHealth adoption patterns between Chinese and non-Chinese populations, the aim of this scoping review was to map relevant evidence on the end-user perceptions and age-appropriate recommendations for interface design, persuasive features, and promotional strategies among Chinese older adults. …”
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  3. 1783

    A Global Attention Mechanism-Based EfficientNet Model for Road Pavement-Type Identification by Zhe-Yuan Ni, Jun-Cheng Wang

    Published 2025-04-01
    “…This enables the effective isolation of discriminative patterns, such as crack density, from complex backgrounds. …”
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  4. 1784

    Minimising Security Deviations in Software-Defined Networks Using Deep Learning by mohammed alghaloom

    Published 2025-06-01
    “…A comprehensive data analysis was conducted, beginning with feature identification and dimensionality reduction using the Gain Information method to filter out redundant features, thereby improving model performance. …”
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    Article
  5. 1785

    Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3. by Cristina Savin, Peter Dayan, Máté Lengyel

    Published 2014-02-01
    “…A venerable history of classical work on autoassociative memory has significantly shaped our understanding of several features of the hippocampus, and most prominently of its CA3 area, in relation to memory storage and retrieval. …”
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  6. 1786

    The present study answers the research question: A corpus-based analysis of collocate directionality in academic English writing by Abdulaziz B. Sanosi

    Published 2025-01-01
    “…Such results can have implications for both collocation instruction and provide practical insights to develop academic writing skills. With these findings, educators can concentrate on teaching the syntactic features of collocations and emphasizing vocabulary instruction that prioritizes word pairs over individual words. …”
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    Article
  7. 1787

    PGDRT: Prediction Demand Based on Graph Convolutional Network for Regional Demand-Responsive Transport by Eunkyeong Lee, Hosik Choi, Do-Gyeong Kim

    Published 2023-01-01
    “…Therefore, it is necessary to establish a regional demand generation prediction model that reflects temporal features for efficient demand response service operations. …”
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  8. 1788

    Machine learning-based single-sample molecular classifier for cancer grading by Zoia Antysheva, Nikita Kotlov, Mariia V. Guryleva, Ivan Valiev, Viktor Svekolkin, Anna Belozerova, Sheila T. Yong, Dmitry Tabakov, Alexander Bagaev, Vladimir Kushnarev

    Published 2025-07-01
    “…Gene expression patterns as revealed by the classifier can provide useful information for both research and diagnostic purposes.…”
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  9. 1789

    Mathematical and geoinformation modeling of snowmelt process in the river drainage basins of the Kama region by V. G. Kalinin, A. A. Shaydulina, V. S. Rusakov, M. A. Fasakhov

    Published 2022-02-01
    “…Based on the temperature coefficient method, detailed digital maps and GIS-technologies, a model of spring snow melting has been developed. This model makes it possible to take into account the spatial distribution of meteorological information, features of the relief and soil-vegetation cover more accurately. …”
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  10. 1790

    Pregnancy course and perinatal outcomes in women with congenital heart valve disease by Yu. V. Bukhonkina1, R. I. Stryuk, G. V. Chizhova, V. B. Nemirovsky

    Published 2009-08-01
    “…All women gave birth at the specialised maternity centre in Moscow and the perinatal centre in Khabarovsk.Results. The features of CHVD in pregnant women reflected the population patterns and were represented by interventricular and interatrial septal defects, aortal coarctation, open arterial duct, pulmonary artery stenosis, and corrected “blue” heart valve disease. …”
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  11. 1791

    The Application of BiGRU-MSTA Based on Multi-Scale Temporal Attention Mechanism in Predicting the Remaining Life of Lithium-Ion Batteries by Luping Wang, Shanze Wang

    Published 2025-06-01
    “…This mechanism is integrated with the Bidirectional Gated Recurrent Unit (BiGRU) to develop the BiGRU-MSTA framework. This framework effectively captures multi-scale temporal features and enhances prediction accuracy, even with limited training data. …”
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    Article
  12. 1792

    Laryngeal involvement in relapsing polychondritis: clinical and CT findings in 173 patients by Zhengang Wang, Xiao Bai, Ruohan Yu

    Published 2025-05-01
    “…We aimed to characterise the clinical features and CT findings of laryngeal involvement in RP, hypothesising that specific CT patterns correlate with clinical manifestations.Methods We retrospectively analysed 173 patients with confirmed RP. …”
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  13. 1793

    Identification of Cultural Landscapes and Spatial Distribution Characteristics in Traditional Villages of Three Gorges Reservoir Area by Jia Jiang, Zhiliang Yu, Ende Yang

    Published 2025-07-01
    “…Through field surveys, landscape feature assessments, GIS spatial analysis, and multi-source data analysis, we systematically analyse their cultural landscape type systems and spatial differentiation characteristics, and then reveal their cultural landscape types and spatial differentiation patterns. (1) The results of the study show that the spatial distribution of traditional villages exhibits significant altitude gradient differentiation—the low-altitude area is dominated by traffic and trade villages, the middle-altitude area is dominated by patriarchal manor villages and mountain farming villages, and the high-altitude area is dominated by ethno-cultural and ecologically dependent villages. (2) Slope and direction analyses further reveal that the gently sloping areas are conducive to the development of commercial and agricultural settlements, while the steeply sloping areas strengthen the function of ethnic and cultural defence. …”
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  14. 1794

    Paleogeomorphology reconstruction and its control on sand dispersal systems: a case study from the Pinghu formation in the Hangzhou slope belt, Xihu Sag, East China sea shelf basin by Lanzhi Qin, Jie Xu, Jie Xu, Jie Xu, Donghao Xu, Hao Liu, Hao Liu, Hao Liu, Kun Cai

    Published 2025-07-01
    “…This study applies the seismic virtual extrapolation method and mudstone sonic analysis to reconstruct the paleogeomorphology of the Pinghu Formation in the Hang-zhou Slope Belt of the Xihu Sag, aiming to elucidate the control of paleogeomorphic features on sedimentary sand body distribution. Based on detailed geological investigation and sedimentary analysis, combined with paleogeomorphic reconstruction techniques, geomorphic units and their spatial assemblages are identified, and the mechanisms by which variations in paleogeomorphic morphology and slope gradient influence sediment dispersal patterns are revealed. …”
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  15. 1795

    Low-hit frequency-hopping communication systems for power Internet of things random access by Shu DU, Mei MA, Bo ZHAO, Qi ZENG, Xing LIU

    Published 2023-01-01
    “…The communication network is an essential component of the data acquisition and information transmission in power Internet of things (IoT).To meet the development requirements of multiple power service in the future, the wireless communication technique with flexible-access and high scalability is one of the development directions for power IoT.Due to the features of large-scale access, random access time, high security and reliability for information transmission of power IoT, a frequency-hopping (FH) technique with low-hit rate for random access was proposed.The construction algorithm of such FH pattern was based upon the combination and shift operation of conventional FH sequences.By the theoretical arithmetic and numerical simulation, the properties of the proposed FH pattern and the error-rate of the FH-based power IoT were evaluated.The analysis reveals that the new class of FH sequences and the system can meet the requirements of large-scale access and highly reliable communication for the power IoT, which has good application prospects.…”
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  16. 1796

    Environmental Responsibility, Active Social Learning, and Political Action by David Hayes

    Published 2017-07-01
    “…Links will be made throughout between environmental issues, economic development and social and environmental justice. Another key feature of Green Criminology is the way in which it seeks to align with environmental activism, and an account will be given here of ethnographic research into a contemporary environmental protest movement, the 'anti-fracking' movement. …”
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    Article
  17. 1797

    Environmental Responsibility, Active Social Learning, and Political Action by David Hayes

    Published 2017-07-01
    “…Links will be made throughout between environmental issues, economic development and social and environmental justice. Another key feature of Green Criminology is the way in which it seeks to align with environmental activism, and an account will be given here of ethnographic research into a contemporary environmental protest movement, the 'anti-fracking' movement. …”
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    Article
  18. 1798

    Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

    Published 2024-10-01
    “…This neural network automatically and through unsupervised learning identifies patterns, complex structures, and high-level features of the input data. …”
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  19. 1799

    Regional estimates of gross primary production applying the Process-Based Model 3D-CMCC-FEM vs. Remote-Sensing multiple datasets by D. Dalmonech, E. Vangi, M. Chiesi, G. Chirici, L. Fibbi, F. Giannetti, G. Marano, C. Massari, A. Nolè, J. Xiao, A. Collalti

    Published 2024-12-01
    “…We apply a stand scale PBFM (3D-CMCC-FEM) in a spatially explicit manner at 1 km resolution in southern Italy. We developed a methodology to initialize the model that includes information derived from the integration of Remote Sensing (RS) and the National Forest Inventory (NFI) data and regional forest maps to characterize structural features of the main forest species. …”
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  20. 1800

    Eosinophilic esophagitis: literature review and original case presentation by V. T. Ivashkin, Ye. K. Baranskaya, V. O. Kaybysheva, Ye. V. Ivanova, Ye. D. Fedorov

    Published 2012-02-01
    “…The aim of publication. To show features of clinical pattern, difficulties of diagnostics and treatment of eosinophilic esophagitis at the example of clinical case.Features of clinical case. …”
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