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  1. 2861

    Numerical Study Of The Shape And Dimensions Of The Blocks In The Energy Dissipation Of Stilling Basin by elham jafari, Hassan Ahmadi

    Published 2017-02-01
    “…In addition to evaluating the accuracy of the model in simulating the flow pattern in the relaxation ponds, the numerical study of the effect of the shape and dimensions of the threshold blocks on the energy dissipation rate And the hydraulic jump of the pond was relaxed. …”
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  2. 2862

    Intracranial Dural Arteriovenous Fistulas: A Systematic Approach—Diagnosis, Classification, and Endovascular Treatment by Skander Sammoud, Nadia Hammami

    Published 2023-01-01
    “…A personalized case-by-case approach accomplishes a high complete treatment grade with a low complication rate. This review highlights the epidemiology, pathogenesis, clinical presentation, classification, diagnosis, and endovascular treatment of patients with intracranial DAVFs.…”
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  3. 2863
  4. 2864

    Dynamics of seasonal rabies incidence in animals in Azerbaijan by Ch. V. Aliyeva, Sh. K. Zeynalova

    Published 2023-06-01
    “…To assess the epizootological and epidemiological risks of rabies in the country, the disease frequency rate among various animal species was studied by year. …”
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  5. 2865

    Task switching with probabilistic reward schemes by Markus Janczyk, Ludwig Danwitz, Kerstin Fröber, Bettina von Helversen

    Published 2025-06-01
    “…Specifically, an increase in reward prospect appears to enhance flexibility, as indicated by a higher voluntary switch rate (VSR), compared to situations where the reward prospect remains high. …”
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  6. 2866

    Parathyroid Involvement by Thyroid Carcinoma: Results from a Single Institution and a Review of the Literature by Ran Hong

    Published 2025-05-01
    “…All patients exhibited PTG Pattern A (direct invasion). <i>Conclusions:</i> Based on our findings and literature data, PTG involvement by TC has an incidence rate of 0.05–3.9%, predominantly affects women in their sixth to seventh decade of life, and appears to have no impact on prognosis unless accompanied by extensive extrathyroidal invasion. …”
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  7. 2867

    Taking a look at your speech: identifying diagnostic status and negative symptoms of psychosis using convolutional neural networks by Gleb Melshin, Anthony DiMaggio, Nadia Zeramdini, Michael MacKinley, Lena Palaniyappan, Alban Voppel

    Published 2025-07-01
    “…Modified ResNet-18 convolutional neural networks (CNNs) performed three classification tasks; (1) schizophrenia-spectrum vs healthy controls, within 179 clinically-rated patients, (2) individuals with more severe vs less severe negative symptom burden, and (3) clinically obvious vs subtle blunted affect. …”
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  8. 2868

    Influence of exercise interventions on functional movement screen scores in athletes: a systematic review and meta-analysis by Ali Asghar Maleki, Seyed Hamed Mousavi, Mohamad Ali Biabangard, Hooman Minoonejad

    Published 2025-07-01
    “…Abstract The functional movement screen (FMS) is a widely recognized tool for evaluating movement patterns and identifying potential injury risks in athletes. …”
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  9. 2869

    Laboratory Analysis of Soil Physicochemical Properties Based on Agricultural Fertilizer Input Requirement Application: A Case of Haramaya University, Ethiopia by Turyasingura, Benson, Chavula, Petros, Mohammed, Yasin, Eliyas, Abdi Alic, Girmac , Tesfasilassie, Sadeso, Kumale, Shentema, Solomon, Abebed, Aschalew, Katel, Shambhu, Timsina, Sandipa

    Published 2023
    “…Exchangeable calcium ranged 4.99 cmol (+)/kg to 18.34 cmol (+)/kg with a mean of 12.02 cmol (+)/kg which is rated as high. The potassium value of (0.05, 0.82 meq/100gm), 0.06 meq/100gm and (0.13, 0.46 meq/100gm) of soil respectively. …”
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  10. 2870

    PathCare: Integrating Clinical Pathway Information to Enable Healthcare Prediction at the Neuron Level by Dehao Sui, Lei Gu, Chaohe Zhang, Kaiwei Yang, Xiaocui Li, Liantao Ma, Ling Wang, Wen Tang

    Published 2025-05-01
    “…PathCare employs an auxiliary sub-network that models future visit patterns to capture temporal health progression, coupled with a neuron-level filtering gate that adaptively selects relevant features while filtering out redundant information. …”
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  11. 2871

    CRYPTOCURRENCY TIME SERIES FORECASTING MODEL USING GRU ALGORITHM BASED ON MACHINE LEARNING by Melina Melina, Sukono Sukono, Herlina Napitupulu, Norizan Mohamed, Yulison Herry Chrisnanto, Asep ID Hadiana, Valentina Adimurti Kusumaningtyas

    Published 2025-04-01
    “…The high fluctuation and volatility of cryptocurrency prices and the complexity of non-linear relationships in data patterns attract investors and researchers who want to develop accurate cryptocurrency price forecasting models. …”
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  12. 2872

    Assessment of the experimental infection by Echinostoma paraensei (Lie & Basch, 1967) (Trematoda: Echinostomatidae) in two Biomphalaria tenagophila (D’Orbigny, 1835) (Gastropoda: P... by Michele Maria Santos, Juberlan Silva Garcia, Raquel de Oliveira Simões, Samaly dos Santos Souza, Paulo Marcos Zech Coelho, Zilton de Araújo Andrade, Arnaldo Maldonado Júnior

    Published 2017-05-01
    “…A correlation between the number of miracidia and the infectivity rate of B. tenagophila (TAIM) was observed. There was no correlation between the number of miracidia used and the number of cercariae released for both B. tenagophila isolates. …”
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  13. 2873
  14. 2874

    Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

    Published 2025-07-01
    “…Three sequential deep learning models—Recurrent Neural Network and Gated Recurrent Unit—were developed and optimized using the Adam algorithm. …”
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  15. 2875

    MSA-GCN: Exploiting Multi-Scale Temporal Dynamics With Adaptive Graph Convolution for Skeleton-Based Action Recognition by Kowovi Comivi Alowonou, Ji-Hyeong Han

    Published 2024-01-01
    “…On the other hand, the TMST module integrates a Gated Multi-stage Temporal Convolution (GMSTC) with a Temporal Multi-Head Self-Attention (TMHSA) to capture global temporal features and accommodate both long-term and short-term dependencies within action sequences. …”
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  16. 2876

    Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models by Ningchang Kang, Zhaocai Wang, Anbin Zhang, Hang Chen

    Published 2025-12-01
    “…These components are then modeled independently: long short-term memory (LSTM) and convolutional neural networks (CNN) handle trend and seasonal patterns, while gated recurrent units (GRU) and Transformer process residual fluctuations. …”
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  17. 2877

    Multiscale Convolutional Fusion Network for Efficient Monaural Speech Separation by Rui Yang, Shanliang Pan

    Published 2025-01-01
    “…MSCF first employs dynamic convolution-based downsampling to enhance the multiscale feature representation. Adaptive gating and multiscale convolutions are then utilized to capture complex acoustic patterns. …”
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  18. 2878

    Revealing the effect of layer-varying deposition strategy on laser-directed energy deposition bionic gradient NiTi alloy by Zhongxiong Kang, Chaorui Jiang, Mengqi Liu, Zhihui Zhang, Jie Zhao

    Published 2025-12-01
    “…The strategy includes different process parameters (the laser power and scanning speed), the scanning paths (alternative optimised spiral pattern, x-axis rotation pattern, and arc alternative pattern) and interlayer interval time. …”
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  19. 2879

    Evolution Characteristics of Urban Heat Island Circulation for Loess Tableland Valley Towns by Zhuolei Yu, Yi Wang, Jukun Wang, Xiaoxue Wang, Songheng Wu

    Published 2025-07-01
    “…In order to further reveal the characteristics of city-scale closed circulation, the sensitivities of different factors influencing the start time, outflow time, mixing height and heat island intensity are analyzed, and the most significant factors influencing these four parameters are urban heat flux, slope height, slope height, and potential temperature lapse rate, respectively. Finally, the dimensionless mixing height and heat island intensity for the valley town increase by 56.80% and 128.68%, respectively, compared to those for the flat city. …”
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  20. 2880

    A Self‐Organizing Map Spiking Neural Network Based on Tin Oxide Memristive Synapses and Neurons by Yu Wang, Yanzhong Zhang, Yanji Wang, Xinpeng Wang, Hao Zhang, Rongqing Xu, Yi Tong

    Published 2025-02-01
    “…Applying this architecture to an unsupervised learning self‐organizing map memristor SNN achieved an impressive 94% recognition rate on the MNIST dataset. This study elucidates the potential for seamlessly integrating memristors into neuromorphic systems.…”
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