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  1. 1481

    RNAtango: Analysing and comparing RNA 3D structures via torsional angles. by Marta Mackowiak, Bartosz Adamczyk, Marta Szachniuk, Tomasz Zok

    Published 2024-10-01
    “…Such an analysis has been made possible by RNAtango, a web server introduced in this paper, that provides a trigonometric perspective on RNA 3D structures, giving insights into the variability of examined models and their alignment with reference targets. …”
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  2. 1482

    Psychophysiological and Performance Effects of Biofeedback and Neurofeedback Interventions in a Top 100 Female Chess Player by Juan Pedro Fuentes-García, Santos Villafaina

    Published 2024-11-01
    “…Specifically, the sensorimotor rhythm stimulation (12–15 Hz) can enhance cognitive functions such as selective attention and working memory. …”
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  3. 1483
  4. 1484

    Effects of Indoor Air Quality on Human Physiological Impact: A Review by Tong Nie, Guofu Zhang, Yinan Sun, Wenhao Wang, Tianai Wang, Haoyan Duan

    Published 2025-04-01
    “…Through an analysis of cardiovascular biomarkers (heart rate variability, blood pressure), respiratory parameters, and neurological indicators (electroencephalogram patterns), we identify the mechanisms linking air quality degradation to impaired physiological functioning. …”
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  5. 1485

    Internet News Headlines: Ontological and Orthological Aspects by E. N. Shirokova

    Published 2021-12-01
    “…The author comes to the conclusion that the focus on the variability and efficiency of headings leads not only to the appearance of lexical and grammatical errors, but also to their replication and consolidation in the mind of the addressee as a result of changes in the structure of cognitive models.…”
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  6. 1486
  7. 1487

    Optimized Temporal Interference Stimulation Based on Convex Optimization: A Computational Study by Chao Geng, Yang Li, Long Li, Xiaoqi Zhu, Xiaohan Hou, Tian Liu

    Published 2025-01-01
    “…Performance analysis of CVXTI shows superior results compared to other methods, particularly in deep brain regions. Subject variability analysis on four individuals highlights the necessity of customized stimulus optimization. …”
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  8. 1488

    Low-frequency rTMS modulates small-world network properties in an AVH-related brain network in schizophrenia by Lin Zhang, Li Guo, Xiaohui Liu, Jing Han, Yuanqiang Zhu, Chaozong Ma, Ye Li, Weiliang Ye

    Published 2025-04-01
    “…Resting-state fMRI data were collected before and after treatment to assess functional connectivity within the predefined 35-region AVH-related network. small-worldness (σ), normalized clustering coefficient (γ), and normalized characteristic path length (λ), as well as functional segregation (clustering coefficient [Cp], local efficiency [El]) and functional integration (global efficiency [Eg], characteristic path length [Lp])—were analyzed before and after rTMS. …”
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  9. 1489

    Compositional and nutritional value of lupin cultivars: Identifying high-protein seeds for enhanced protein isolate production and phytochemical valorisation by Pau Taberner-Pibernat, Albert Ribas-Agustí, Gisela Quinteros, Gerard Sabeña, Miguel López-Gómez, Rubén Domínguez-Valencia, Ricard Bou

    Published 2025-08-01
    “…The findings revealed significant inter- and intra-species variability in protein, total dietary fibre, and fat content among the studied cultivars. …”
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  10. 1490

    Statistical Identification of Parameters for Damaged FGM Structures with Material Uncertainties in Thermal Environment by Yalan Xu, Yu Qian, Kongming Guo

    Published 2018-01-01
    “…The numerical simulation results show the efficiency and effectiveness of the presented method for the identification of material parameter variability by using the measurable modal parameters of damaged FGM structures.…”
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  11. 1491

    Assessing motor control and movement quality in patients with non-specific low back pain: a scoping review and development of an ICF-based conceptual framework by Kerstin Luedtke, Agnes Sturma, Georg Pfluegler, Meike Klinger, Clemens Ley, Beate Schüßler

    Published 2025-06-01
    “…A conceptual framework was constructed, consisting of five International Classification of Functioning, Disability and Health-based broad motor control functions and 10 movement quality domains, namely flexibility, stability, accuracy, symmetry, speed, smoothness, adaptability, variability, efficiency and coordination.Conclusion The provided conceptual framework for motor control functions and movement quality domains can serve as a structural foundation for future research on the content validity of assessment approaches in the context of LBP.…”
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  12. 1492

    Bottom-up Biomaterial strategies for creating tailored stem cells in regenerative medicine by Brenda Cruz-Gonzalez, Ellie Johandes, Dominique Gramm, Donny Hanjaya-Putra, Donny Hanjaya-Putra, Donny Hanjaya-Putra, Donny Hanjaya-Putra

    Published 2025-05-01
    “…Unlike conventional methods that adapt cells to pre-existing materials, this strategy prioritizes designing biomaterials from the molecular level upward to address key challenges, including differentiation variability, incomplete matching of iPSCs to somatic counterparts, functional maturity of derived cells, and survival of ECFCs/MSCs in therapeutic niches. …”
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  13. 1493

    Multifaceted applications of dye-saturated biochar: Agronomic amelioration, thermochemical valorization, and catalytic efficacy in advanced environmental remediation paradigms by Sandra Ramachandran, Anshuman Gupta, Neelaambhigai Mayilswamy, Amrita Nighojkar, Balasubramanian Kandasubramanian

    Published 2025-12-01
    “…The review identifies key limitations, such as feedstock variability, competing ions in wastewater, and energy-intensive production processes, and proposes strategies for optimizing biochar synthesis and functionalization. …”
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  14. 1494

    Revolutionizing Lung Segmentation with Machine Learning: A Critical Review of Techniques in Medical Imaging by Momina Aisha, Moazma Ijaz, Nimra Tariq, Sehar Anjum, Sidra Siddiqui, Usman Hashmi

    Published 2024-12-01
    “…Techniques such as X-rays, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and Positron Emission Tomography (PET) play essential roles in identifying the physical and functional aspects of the lungs. Manual lung segmentation by radiologists, while adjustable, is time-consuming and subject to variability. …”
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  15. 1495
  16. 1496

    Causal relationships of vegetation productivity with root zone water availability and atmospheric dryness at the catchment scale by G. W. Abeshu, H.-Y. Li, M. Shi, L. R. Leung

    Published 2025-04-01
    “…The results revealed a maximum lag of 2 months in the intra-annual variability of catchment water supply–productivity and atmospheric water demand–productivity relationships, with hysteresis patterns varying with the catchment's hydrological characteristics. …”
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  17. 1497

    Incremental learning with SVM for multimodal classification of prostatic adenocarcinoma. by José Fernando García Molina, Lei Zheng, Metin Sertdemir, Dietmar J Dinter, Stefan Schönberg, Matthias Rädle

    Published 2014-01-01
    “…The use of texture descriptors provides more salient discriminative patterns than the functional information used. Furthermore, the system improves selection of information, efficiency and robustness of the classification. …”
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  18. 1498

    Work Systems Analysis of Emergency Nurse Patient Flow Management Using the Systems Engineering Initiative for Patient Safety Model: Applying Findings From a Grounded Theory Study by Ellen Benjamin, Karen K Giuliano

    Published 2024-12-01
    “…Other noteworthy findings include obscurity and variability across departments’ staff roles titles, functions, and norms; the degree of provider involvement in patient flow management decisions; and management’s enforcement of timing metrics. …”
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  19. 1499

    fNIRS neurofeedback facilitates emotion regulation: Exploring individual differences over the ventrolateral prefrontal cortex by Yiwei Li, Sijin Li, Hua Li, Yuyao Tang, Dandan Zhang

    Published 2025-03-01
    “…Participants in the experimental group underwent VLPFCNF training over eight sessions across two consecutive days, while those in the sham group received random signals from functional near-infrared spectroscopy (fNIRS). To investigate individual variability, participants in the experimental group were further categorized as high or low-efficacy groups based on their training efficiency, determined by the regression slope of VLPFC activity over the sessions. …”
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  20. 1500

    Energy management of microgrid coalitions considering renewable energy prediction based on machine learning algorithms by Negar Dehghani Mahmoudabadi, Mehran Khalaj, Davood Jafari, Ali Taghizadeh Herat, Parisa Mousavi Ahranjani

    Published 2025-04-01
    “…Due to the inherent variability of renewable resources, an extreme learning machine (ELM) model is applied in order to forecast solar irradiation and wind power. …”
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