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  1. 2141

    Learning compositional sequences with multiple time scales through a hierarchical network of spiking neurons. by Amadeus Maes, Mauricio Barahona, Claudia Clopath

    Published 2021-03-01
    “…The hierarchical model redistributes the variability: it achieves high motif fidelity at the cost of higher variability in the between-motif timings.…”
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  2. 2142
  3. 2143

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

    Published 2024-10-01
    “…RNA molecules, essential for viruses and living organisms, derive their pivotal functions from intricate 3D structures. To understand these structures, one can analyze torsion and pseudo-torsion angles, which describe rotations around bonds, whether real or virtual, thus capturing the RNA conformational flexibility. …”
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  4. 2144

    Flow Characteristics of Distinctly Viscous Multilayered Intestinal Fluid Motion by S. K. Pandey, M. K. Chaube, Dharmendra Tripathi

    Published 2015-01-01
    “…The effects of power law index and viscosities on pressure across one wavelength, mechanical efficiency, and trapping are discussed numerically. …”
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  5. 2145

    Multiple mechanisms contribute to leakiness of a frameshift mutation in canine cone-rod dystrophy. by Keiko Miyadera, Ian Brierley, Jesús Aguirre-Hernández, Cathryn S Mellersh, David R Sargan

    Published 2012-01-01
    “…Variable polyA(n) length was confirmed in DNA from different RPGRIP1(-/-) dogs, yet polyA(n) variability did not correspond with the clinical phenotypes and no individual was found that carried a polyA(n) tract capable of encoding an in-frame variant. …”
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  6. 2146
  7. 2147

    Genetic characterisation of Germanata Veneta and Mignon local duck breeds (Anas platyrhynchos) using whole-genome sequencing by Francesco Perini, Enrico Bortoletto, Filippo Cendron, Umberto Rosani, Emiliano Lasagna, Maristella Baruchello, Martino Cassandro, Mauro Penasa

    Published 2025-12-01
    “…Both breeds showed low genetic variability and high inbreeding (GER: FHOM = 0.305 ± 0.184; MIG: FHOM = 0.369 ± 0.163). …”
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  8. 2148

    Absorbing Aerosol Effects on Hyperspectral Surface and Underwater UV Irradiances from OMI Measurements and Radiative Transfer Computations by Alexander Vasilkov, Nickolay Krotkov, Matthew Bandel, Hiren Jethva, David Haffner, Zachary Fasnacht, Omar Torres, Changwoo Ahn, Joanna Joiner

    Published 2025-02-01
    “…The output underwater products include the hyperspectral diffuse attenuation coefficients of the planar and scalar irradiances. Effects of the seasonal variability of AAOD on the UV index and the deoxyribonucleic acid (DNA) damage dose rates are considered. …”
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  9. 2149

    Combined analysis of 16S rRNA gene sequencing data reveals core vaginal bacteria across livestock species by Lucille C. Jonas, Lucille C. Jonas, Curtis R. Youngs, Stephan Schmitz-Esser, Stephan Schmitz-Esser

    Published 2025-02-01
    “…Recent publications have uncovered a high degree of variability of the livestock vaginal microbiota, making it difficult to focus functional research on individual microorganisms. …”
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  10. 2150

    Stability and vibration analyses of tapered columns resting on one or two-parameter elastic foundations by Masoumeh Soltani, Foudil Mohri

    Published 2014-12-01
    “…Then, the shape functions are obtained exactly by deriving the deformation shape of the column as power series form. …”
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  11. 2151

    Influences of Gait Training with Knee–Ankle–Foot Orthosis on Gait Ability and Independence in Severe Hemiplegia and Pusher Behavior with Unilateral Spatial Neglect Following Stroke... by Kota Sawa, Miko Tamura, Saori Arai

    Published 2025-06-01
    “…Onset days and SPV variability errors influenced severe hemiplegia cases, whereas SPV‐EO variability errors impacted USN cases, with moderate regression coefficients (p < 0.05). …”
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  12. 2152

    Fate-tox: fragment attention transformer for E(3)-equivariant multi-organ toxicity prediction by Sumin Ha, Dongmin Bang, Sun Kim

    Published 2025-05-01
    “…To address these challenges with multiple strategies, we developed FATE-Tox, a novel multi-view deep learning framework for multi-organ toxicity prediction. For variability of substructures, we used three fragmentation methods such as BRICS, Bemis-Murcko scaffolds, and RDKit Functional Groups to formulate fragment-level graphs so that diverse substructures can be used to identify toxicity for different organs. …”
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  13. 2153

    A Gradient Grating Period Guided-Mode Resonance Spectrometer by Hsin-Yun Hsu, Yi-Hsuan Lan, Cheng-Sheng Huang

    Published 2018-01-01
    “…The GMR is specially designed to exhibit gradient grating periods (GPPs) laterally to ensure that the GMR functions as a linear-variable bandstop filter. Each period corresponds to a resonant wavelength such that this wavelength is reflected back at its corresponding resonant period and transmitted to all other periods. …”
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  14. 2154

    Sensitivity to Instruction Strategies in Motor Learning Is Predicted by Anterior–Posterior TMS Motor Thresholds by Michael L. Perrier, Kylee R. Graham, Jessica E. Vander Vaart, W. Richard Staines, Sean K. Meehan

    Published 2025-06-01
    “…Recent transcranial magnetic stimulation (TMS) studies suggest that variability in interneuron recruitment by anterior–posterior (AP) currents is linked to differences in functional connectivity between premotor and motor regions. …”
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  15. 2155

    Feasibility Assessment of Novel Multi-Mode Camshaft Design Through Modal Analysis by Merve Üngör, Osman Taha Sen, Akif Yavuz, Cemal Baykara

    Published 2025-05-01
    “…Camshafts in internal combustion engines are critical components not only for mechanical functionality but also for dynamic performance and vibration characteristics. …”
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  16. 2156

    A Novel Multiobjective Evolutionary Algorithm Based on Regression Analysis by Zhiming Song, Maocai Wang, Guangming Dai, Massimiliano Vasile

    Published 2015-01-01
    “…The result shows that MMEA-RA outperforms RM-MEDA and NSGA-II on the test instances with variable linkages. At the same time, MMEA-RA has higher efficiency than the other two algorithms. …”
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  17. 2157

    Application of Non-Linear System Model Updating Using Feature Extraction and Parameter Effects Analysis by John F. Schultze, François M. Hemez, Scott W. Doebling, Hoon Sohn

    Published 2001-01-01
    “…This provides indicators of the statistical variation associated with parameters as well as confidence intervals on the coefficients of the resulting meta-model. Also included in this method is the investigation of linear parameter effect screening using a partial factorial variable array for simulation. …”
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  18. 2158

    Integration of fuzzy logic and geographic weighted regression modeling for enhanced groundwater potential mapping using remote sensing and GIS by Junguang Gao, Amnah A. Alasgah, Imran Ahmad, Faten Nahas, Mithas Ahmad Dar, Martina Zelenakova, Milashu Sisay, Getanew Sewnet Zewdu

    Published 2025-08-01
    “…Fuzzy logic addresses uncertainties through membership functions, while GWR captures spatial variations via localized regression coefficients. …”
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  19. 2159

    A Mimetic Assay of Neutrophil Extracellular Trap Degradation Using YOYO-1-Stained DNA-Histone Surface Webs by Katherine H. Nguyen, Midori L. Wasielewski, Srilakshmi Yalavarthi, Xianggui Qu, Jason S. Knight, Shuichi Takayama

    Published 2025-04-01
    “…This paper describes a simplified, lower variability mimetic assay with DNA–histone structures, referred to as surface webs, that performs functionally similarly to traditional NET degradation assays with increased scalability, ease of use, shorter preparation time, and lowered costs. …”
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  20. 2160

    A Particle Swarm Optimization-Guided Ivy Algorithm for Global Optimization Problems by Kaifan Zhang, Fujiang Yuan, Yang Jiang, Zebing Mao, Zihao Zuo, Yanhong Peng

    Published 2025-05-01
    “…In recent years, metaheuristic algorithms have garnered significant attention for their efficiency in solving complex optimization problems. …”
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