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  1. 221

    VR-Aided Ankle Rehabilitation Decision-Making Based on Convolutional Gated Recurrent Neural Network by Hu Zhang, Yujia Liao, Chang Zhu, Wei Meng, Quan Liu, Sheng Q. Xie

    Published 2024-10-01
    “…This model takes various inputs, including ankle dorsiflexion range of motion, angular velocity, jerk, and motion performance scores, gathered from wearable motion inertial sensors during virtual reality rehabilitation. …”
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  2. 222

    On the issue of creating the optimal last stage of powerful steam turbines of nuclear power plants by T. V. Bogomolova, G. A. Ahmadzadeh

    Published 2023-04-01
    “…When solving this problem, the method of calculating the axisymmetric flow of steam in the flow part of the turbine stage as an inviscid single-phase working fluid relative to a stationary guide device and rotating with an angular velocity ω of the impeller used, and the losses energy calculated according to the axisymmetric method of the MPEI.RESULTS. …”
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  3. 223

    Parameter Estimation Precision with Geocentric Gravitational Wave Interferometers: Monochromatic Signals by Manoel Felipe Sousa, Tabata Aira Ferreira, Massimo Tinto

    Published 2025-04-01
    “…In terms of their reconstructed frequencies and amplitudes, TianQin achieves its best precision values in both quantities in the frequency band [<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mn>10</mn><mrow><mo>−</mo><mn>2</mn></mrow></msup><mo>,</mo><mn>4</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>1</mn></mrow></msup></mrow></semantics></math></inline-formula>] Hz, with a frequency precision <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>σ</mi><msub><mi>f</mi><mrow><mi>g</mi><mi>w</mi></mrow></msub></msub><mo>=</mo><mn>2</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>11</mn></mrow></msup></mrow></semantics></math></inline-formula> Hz and an amplitude precision <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>σ</mi><msub><mi>h</mi><mn>0</mn></msub></msub><mo>=</mo><mn>2</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>24</mn></mrow></msup></mrow></semantics></math></inline-formula>. gLISA matches these precisions in a frequency band slightly higher than that of TianQin, [<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>3</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>2</mn></mrow></msup><mo>,</mo><mn>1</mn></mrow></semantics></math></inline-formula>] Hz, as a consequence of its smaller arm length. gLISA<sub><i>d</i></sub>, on the other hand, matches the performance of gLISA only over the narrower frequency region, [<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>7</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>1</mn></mrow></msup><mo>,</mo><mn>1</mn></mrow></semantics></math></inline-formula>] Hz, as a consequence of its higher acceleration noise at lower frequencies. The angular, frequency, and amplitude precisions as functions of the source sky location are then derived by assuming an average signal-to-noise ratio of 10 at a selected number of gravitational wave frequencies covering the operational bandwidth of TianQin and gLISA. …”
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  4. 224

    Gas Transfer between the Inner 3 kpc Disk and the Galactic Central Molecular Zone by Yang Su, Shiyu Zhang, Yan Sun, Ji Yang, Fujun Du, Min Fang, Qing-Zeng Yan, Shaobo Zhang, Zhiwei Chen, Xuepeng Chen, Xin Zhou, Lixia Yuan, Yuehui Ma

    Published 2025-01-01
    “…Importantly, within these regions, there are frequent collisions and substantial angular momentum exchanges between gas flows with different trajectories. …”
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  5. 225

    Ultra-broadband and wide-angle nonreciprocal thermal emitter based on Weyl semimetal metamaterials by Shi Kezhang, Sun Yuwei, Hu Run, He Sailing

    Published 2024-01-01
    “…The results provide a wider angular range in the broad mid-infrared band compared to previous attempts. …”
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  6. 226

    The Feasibility of RGB-D Gaze Intention Measurement in Children with Autism Using Azure Kinect by Abderrahmen Bendimered, Rim Cherif, Rabah Iguernaissi, Mohamad Motasem Nawaf, Susanne Thümmler, Séverine Dubuisson, Djamal Merad

    Published 2025-04-01
    “…The results demonstrated high accuracy, with a minimum angular error of 2.5° using pupil positions, 2.06° using head orientation, and average errors of 4.46° and 3.19°, respectively. …”
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  7. 227

    Ophthalmoergonomic Test “Glazomer”: Clinical Standardization, Application Prospects by I. G. Ovechkin, D. F. Pokrovsky, N. I. Ovechkin, D. A. Shavshina, Yu. Yu. Kislyakov

    Published 2025-03-01
    “…The test methodology involves sequentially presenting geometric figures (square, circle, rhombus, etc.) on a computer screen that have signs of geometric symmetry and a circumscribed circle diameter of 4–7 cm (angular size of 3.8–6.70 from a distance of 60 cm). …”
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  8. 228

    Investigation Of Glenohumeral Internal Rotation Deficit Tendency of Adolescent Female Volleyball Players During Passive and Dynamic Movements by Hande Argunşah

    Published 2022-12-01
    “…This study hypothesizes that volleyball players are prone to develop angular differences in dominant and non-dominant shoulders’ range of motion during passive and active movements. …”
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  9. 229

    Transformer-based Approach for Accurate Asteroid Spectra Taxonomy and Albedo Estimation by Yijun Tang, Yunxiao Jiang, Yuxiang Feng, Xiaoming Zhang, Xiaojun Jiang

    Published 2025-01-01
    “…We have developed a platform for asteroid spectral classification, albedo estimation, and composition analysis, which includes three types of neural networks based on the Transformer attention mechanism: one for spectral classification, achieving a four-class classification accuracy of 94.58% and an 11-class classification accuracy of 95.69%, a second one for albedo estimation, with an average absolute error of 0.0308 in S-type asteroid albedo estimation, and the third one for composition analysis, with a predicted spectral angular distance of only 0.0340 and an rms error of 0.1759 for the abundance of endmembers. …”
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  10. 230

    Effects of dark boson mediated feeble interaction between dark matter (DM) and quark matter on f-mode oscillation of DM admixed quark stars by O. P. Jyothilakshmi, Lakshmi J. Naik, Debashree Sen, Atanu Guha, V. Sreekanth

    Published 2025-04-01
    “…Further, we obtain a linear empirical relation between the f-modes and the average density of the star. We also find that the mass-scaled angular frequency varies universally with compactness and $$\ln {\Lambda }$$ ln Λ for DMSQSs. …”
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  11. 231

    AESTHETIC FEATURES OF THE STRUCTURE OF THE FACES IN CHILDREN WITH DENTAL AND FACIAL ANOMALIES ІІ1 CLASS BY ENGLEM AND IMPAIRED NASAL BREATHING ACCORDING TO PHOTOMETRY by N.V. Golovko

    Published 2018-03-01
    “…The photographs used conventional medial and lateral points, lines and planes, angular and linear dimensions; techniques used I.I.Uzhumetskene, V.P.Pereverzeva and S.A.Shmertslera. …”
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  12. 232
  13. 233

    Research on refined UAV inspection method of wind/solar power stations based on YOLOv8 by Jieyi Pu, Qifeng Zhang, Wenbo Zhao, Wei Zhang, Zengren Qin, Yumeng Zhang

    Published 2025-01-01
    “…In order to accelerate the convergence of the PV module contour extraction model, this paper introduces a loss function for the difference in linear angular orientation, which improves the average IOU accuracy of the YOLOv8 model to 93%. …”
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  14. 234

    Evaluation of Hand-Scaling Skills of Dental Hygienist Students: Identification of Contact Between Hand-Scaler Blade Tip and Tooth Surface by Tomoko Yui, Sung-Gwi Cho, Yuki Sato, Yasuaki Orita, Ming Ding, Jun Takamatsu, Takahiro Wada, Tsukasa Ogasawara

    Published 2022-01-01
    “…The contact state of the blade, whether it was the tip or the middle, was identified using 18 features, including the average and standard deviation of nine dimensions of force, acceleration, and angular velocity with a support vector machine (SVM). …”
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  15. 235
  16. 236

    Multilevel Deficiency of White Matter Connectivity Networks in Alzheimer’s Disease: A Diffusion MRI Study with DTI and HARDI Models by Tao Wang, Feng Shi, Yan Jin, Pew-Thian Yap, Chong-Yaw Wee, Jianye Zhang, Cece Yang, Xia Li, Shifu Xiao, Dinggang Shen

    Published 2016-01-01
    “…We compared the differences between WM connectivity characteristics at global, regional, and local levels in 26 patients with probable AD and 16 normal control (NC) elderly subjects, using connectivity networks constructed with the diffusion tensor imaging (DTI) model and the high angular resolution diffusion imaging (HARDI) model, respectively. …”
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  17. 237

    Correlation between lateral cephalometric and facial photographic measurements for orthodontic diagnosis in patients with mandibular deficiency by Shahzonia Tariq, Nazish Amjad, Muhammad Hasnain, Ayesha shafiq, Asma Najibullah Khan, Haseeb Alamzeb

    Published 2023-12-01
    “…Facial photographs were taken for Ḿ-Mé (Distance between soft tissue menton and point M’) and TŃ B́ (Angular measurement showing anteroposterior position of mandible) measurements. …”
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  18. 238

    Radiographic evaluation of temporomandibular joint in patients with posterior direct restorations by I. N. Bagdasarova, A. A. Gevorkyan, O. V. Pilshchikova, N. N. Fedotova, A. S. Karnaeva, L. A. Kozhevnikova, V. M. Slonova

    Published 2020-03-01
    “…We studied 26 CBCT (18 women and 8 men) with a ratio of teeth with I class, without clinical symptoms and not undergoing orthodontic treatment, with an average age of 45.6 years. TMJ was evaluated by angular and linear parameters on three sections. …”
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  19. 239

    Parametric study of MHD mixed convection heat transfer in a trapezoidal cavity with NEPCM suspension and rotating star-shaped heat source by Aissa Abderrahmane, Houssem Laidoudi, Abdeldjalil Belazreg, Obai Younis, Hamoud A. Al-Nehari, Riadh Marzouki

    Published 2025-09-01
    “…A star‑shaped heat source located at the cavity centre rotates with a constant angular velocity, while a uniform transverse magnetic field acts on the flow. …”
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  20. 240

    Hyperspectral Image Super-Resolution via Grouped Second-Order Spatial Features and Spectral Attention Network by Allen Patnaik, M. K. Bhuyan, Sultan Alfarhood, Mejdl Safran

    Published 2025-01-01
    “…Rotary positional embedding (RoPE) is incorporated into our model to encode relative distances and angular rotations between features while preserving equivariance. …”
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