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  1. 101

    Exercise interventions of ≥8 weeks improve body composition, physical function, metabolism, and inflammation in older adults with stage I sarcopenic obesity: a systematic review an... by Huiting Wei, Huiting Wei, Jiabao Zhang, Jiabao Zhang, Kaiyin Cui, Kaiyin Cui, Hao Su, Hao Su

    Published 2025-08-01
    “…Physical function improves with both RT and CE, and RT is better for muscle strength, while CE benefits metabolism and inflammation. …”
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    Article
  2. 102

    Effectiveness of Dry Needling in Improving Pain and Function in Comparison with Other Techniques in Patients with Chronic Neck Pain: A Systematic Review and Meta-Analysis by Mar Hernández-Secorún, Hugo Abenia-Benedí, Sergio Borrella-Andrés, Isabel Marqués-García, María Orosia Lucha-López, Pablo Herrero, Isabel Iguacel, José Miguel Tricás-Moreno, César Hidalgo-García

    Published 2023-01-01
    “…The purpose of this systematic review and meta-analysis was to assess the short-, mid-, and long-term effectiveness of dry needling in improving pain and functional capacity of patients with chronic neck pain. …”
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    Article
  3. 103

    Improvement of Motor Imagination and Manual Ability Through Virtual Reality and Selective and Nonselective Functional Electrical Stimulation: Protocol for a Randomized Controlled T... by Montserrat Santamaría-Vázquez, J Hilario Ortiz-Huerta, Aitor Martín-Odriozola, Olalla Saiz-Vazquez

    Published 2024-11-01
    “…We plan to publish the study findings by the end of 2024. ConclusionsImprovements in MI and upper limb functionality are expected, particularly in the selective FES group. …”
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    Article
  4. 104

    Improvement of classification accuracy of functional near-infrared spectroscopy signals for hand motion and motor imagery using a common spatial pattern algorithm by Omid Asadi, Mahsan Hajihosseini, Sima Shirzadi, Zahra Einalou, Mehrdad Dadgostar

    Published 2025-05-01
    “…Objective: Classifying motor imagery tasks via functional near-infrared spectroscopy (fNIRS) poses a significant challenge in brain-computer interface (BCI) research due to the high-dimensional nature of the signals. …”
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    Article
  5. 105

    Utilization of Machine-Learning-Based model Hybridized with Meta-Heuristic Frameworks for estimation of Unconfined Compressive Strength by She Wang, Qi Zhang

    Published 2025-01-01
    “…Unconfined compressive strength (UCS) is one of the rocks’ most valuable mechanical properties in constructing an accurate geo-mechanical model. …”
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    Article
  6. 106

    The Best DFT Functional Is the Ensemble of Functionals by Yuting Rui, Yuxinxin Chen, Elena Ivanova, Vignesh Balaji Kumar, Szymon Śmiga, Ireneusz Grabowski, Pavlo O. Dral

    Published 2024-12-01
    “…Abstract The development of better density functional theory (DFT) methods is one of the most active research areas, given the importance of DFT for ubiquitous molecular and materials simulations. …”
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  7. 107
  8. 108

    A systematic review of peer support interventions to improve psychosocial functioning among cancer survivors: can findings be translated to survivors with a rare cancer living rura... by L. Hemming, S. F. A. Duijts, N. Zomerdijk, C. Cockburn, E. Yuen, R. Hardman, J. Van Vuuren, T. Farrugia, C. Wilson, E. Spelten

    Published 2024-12-01
    “…Abstract Background This study aimed to (1) summarise research on the impact of peer support interventions aimed at improving psychosocial functioning among cancer survivors, and (2) identify key components for developing a support intervention for patients with a rare cancer living in rural, regional or remote areas. …”
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    Article
  9. 109

    A Non-Rigid Three-Dimensional Image Reconstruction Algorithm Based on Deformable Shape Reliability by Haiying Chen, Syed Atif Moqurrab

    Published 2024-01-01
    “…Our algorithm models the dynamic non-rigid shape basis as a low-rank matrix composed of image points and depth factors, improving the restoration of non-rigid shape base changes and providing accurate parameters for constructing objective functions. …”
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  10. 110
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    Pentosan polysulfate decreases myocardial expression of the extracellular matrix enzyme ADAMTS4 and improves cardiac function in vivo in rats subjected to pressure overload by aort... by Maria Vistnes, Jan Magnus Aronsen, Ida G Lunde, Ivar Sjaastad, Cathrine R Carlson, Geir Christensen

    Published 2014-01-01
    “…Furthermore, PPS-treatment improved systolic function, demonstrated by an improved fractional shortening (vehicle 48±3% versus PPS 60±1%, p<0.01) after AB. …”
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  12. 112

    Nanoparticles encapsulating phosphatidylinositol derivatives promote neuroprotection and functional improvement in preclinical models of ALS via a long-lasting activation of TRPML1... by Valentina Tedeschi, Valeria Nele, Valeria Valsecchi, Serenella Anzilotti, Antonio Vinciguerra, Laura Zucaro, Maria Josè Sisalli, Chiara Cassiano, Nunzia De Iesu, Giuseppe Pignataro, Lorella Maria Teresa Canzoniero, Anna Pannaccione, Giuseppe De Rosa, Agnese Secondo

    Published 2024-12-01
    “…Once selected for the ability to stabilize TRPML1 activity, the most effective preparation F1 was studied in vivo to measure neuromuscular function and survival of SOD1G93A ALS mice, thereby establishing its therapeutic profile.F1, but not PI(3,5)P2 alone, stabilized the open state of the lysosomal channel TRPML1 and increased the persistence of intracellular calcium concentration ([Ca2+]i). …”
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  13. 113

    Improvement in Functional Outcome from 6 to 12 Months After Moderate and Severe Traumatic Brain Injury Is Frequent, But May Not Be Detected With the Glasgow Outcome Scale Extended by Rabea Iris Pantelatos, Jonas Stenberg, Turid Follestad, Oddrun Sandrød, Cathrine Elisabeth Einarsen, Anne Vik, Toril Skandsen

    Published 2024-11-01
    “…Importantly, change, mostly improvement, in GOSE score between 6 and 12 months was frequent and argues against the use of 6 months outcome as a time end-point in research. …”
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  16. 116

    Improving Malaria diagnosis through interpretable customized CNNs architectures by Md. Faysal Ahamed, Md Nahiduzzaman, Golam Mahmud, Fariya Bintay Shafi, Mohamed Arselene Ayari, Amith Khandakar, M. Abdullah-Al-Wadud, S. M. Riazul Islam

    Published 2025-02-01
    “…To address these challenges, we employed several customized convolutional neural networks (CNNs), including Parallel convolutional neural network (PCNN), Soft Attention Parallel Convolutional Neural Networks (SPCNN), and Soft Attention after Functional Block Parallel Convolutional Neural Networks (SFPCNN), to improve the effectiveness of malaria diagnosis. …”
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  17. 117

    Improving Brain Metabolite Detection with a Combined Low-Rank Approximation and Denoising Diffusion Probabilistic Model Approach by Yeong-Jae Jeon, Kyung Min Nam, Shin-Eui Park, Hyeon-Man Baek

    Published 2024-11-01
    “…Using publicly available <sup>1</sup>H MRS datasets from 15 subjects, we applied the Casorati SVD and DDPM to obtain baseline and functional data during a pain stimulation task. This method significantly improved SNR, resulting in outcomes comparable to or better than averaging over 32 signals. …”
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  18. 118

    A Predictive Disease Risk Model for Ankylosing Spondylitis: Based on Integrated Bioinformatic Analysis and Identification of Potential Biomarkers Most Related to Immunity by Wenxin Gao, Ruirui Hou, Yungang Chen, Xiaoying Wang, Guoyan Liu, Wanli Hu, Kang Yao, Yanke Hao

    Published 2023-01-01
    “…The purpose of this paper was to identify the potential early biomarkers most related to immunity in AS and develop a predictive disease risk model with bioinformatic methods and the Gene Expression Omnibus database (GEO) to improve diagnostic and therapeutic efficiency. …”
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