Multi-Layer Perceptron Model Integrating Multi-Head Attention and Gating Mechanism for Global Navigation Satellite System Positioning Error Estimation by Xiuxun Liu, Zuping Tang, Jiaolong Wei

“…In particular, the root mean square error of the presented method in the first dataset is 0.239 m, which is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>39.2</mn><mo>%</mo></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>17</mn><mo>%</mo></mrow></semantics></math></inline-formula> lower than the current state-of-the-art long short-term memory network and convolutional neural network, respectively. …”
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A Data-Driven Methodology for Obtaining the Stress–Strain Curves of Metallic Materials Using Discrete Indentation Tests by Nitzan Rom, Elad Priel

“…The model was validated against experimental data on Al1100, Al6061-T6, Al7075-T6, and brass and copper alloys, features error predictions of 8.4 ± 8.5% for the yield stress and 3.2 ± 4% for a complete curve ranging from <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mover accent="true"><mrow><mi>ε</mi></mrow><mo>¯</mo></mover></mrow><mrow><mi>p</mi></mrow></msup><mo>=</mo><mn>0</mn></mrow></semantics></math></inline-formula> to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mover accent="true"><mrow><mi>ε</mi></mrow><mo>¯</mo></mover></mrow><mrow><mi>p</mi></mrow></msup><mo>=</mo><mn>0.15</mn></mrow></semantics></math></inline-formula>. …”
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Assessing Groundwater Connection/Disconnection to Waterholes Along the Balonne River and in the Barwon–Darling River System in Queensland and New South Wales, Australia, for Waterh... by Harald Hofmann, Jonathan Marshall

“…As expected, the results indicate consistently low radon concentrations in the waterholes and very small deviation in stable isotopes <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>δ</mi><mn>18</mn></msup></semantics></math></inline-formula>O and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>δ</mi><mn>2</mn></msup></semantics></math></inline-formula>H. …”
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Preamble Design and Noncoherent ToA Estimation for Pulse-Based Wireless Networks-on-Chip Communications in the Terahertz Band by Pankaj Singh, Sung-Yoon Jung

“…Performance evaluations demonstrate a synchronization probability exceeding <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>0.98</mn></mrow></semantics></math></inline-formula> for distances under 10 mm at a signal-to-noise ratio of 20 dB, with a normalized mean squared error below <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mn>10</mn><mrow><mo>−</mo><mn>2</mn></mrow></msup></semantics></math></inline-formula>. …”
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Modelling the Transition from Shear-Driven Turbulence to Convective Turbulence in a Vertical Heated Pipe by Shijun Chu, Elena Marensi, Ashley P. Willis

“…The effect of the axially periodic domain on flow dynamics and heat transfer is examined, using pipes of length <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>L</mi><mo>=</mo><mn>5</mn><mi>D</mi></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>L</mi><mo>=</mo><mn>25</mn><mi>D</mi></mrow></semantics></math></inline-formula>. …”
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Metabolite Profiling and Association Analysis of Leaf Tipburn in Heat-Tolerant Bunching Onion Varieties by Tetsuya Nakajima, Reina Yamamoto, Kanako Matsuse, Masato Fuji, Koei Fujii, Sho Hirata, Mostafa Abdelrahman, Muneo Sato, Masami Yokota Hirai, Masayoshi Shigyo

“…Pigment compound quantification, functional component analysis, leaf tipburn rate assessment, and widely targeted metabolome profiling were performed across two commercial <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="normal">F</mi><mn>1</mn></msub></semantics></math></inline-formula> varieties, one purebred variety, and six Yamaguchi Prefecture-bred <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="normal">F</mi><mn>1</mn></msub></semantics></math></inline-formula> lines under different growing conditions. …”
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Characterising the alternative and polar questions of Irish by Brian Nolan

“…We characterise the forms of these question types and the functions they serve. We examine the semantic and pragmatic dimensions of each question form and their answers. …”
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Definition of Triangular Norms and Triangular Conorms on Subfamilies of Type-2 Fuzzy Sets by Pablo Hernández-Varela, Francisco Javier Talavera, Susana Cubillo, Carmen Torres-Blanc, Jorge Elorza

“…In this paper, we obtain new t-norms and t-conorms on some important subfamilies of the set of functions from <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>[</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>]</mo></mrow></semantics></math></inline-formula> to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>[</mo><mn>0</mn><mo>,</mo><mn>1</mn><mo>]</mo></mrow></semantics></math></inline-formula>. …”
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Characterizing Perception Deep Learning Algorithms and Applications for Vehicular Edge Computing by Wang Feng, Sihai Tang, Shengze Wang, Ying He, Donger Chen, Qing Yang, Song Fu

“…Additionally, our investigation of Deep Neural Network (DNN) layers revealed that certain convolutional layers experienced computation time increases exceeding <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2849</mn><mo>%</mo></mrow></semantics></math></inline-formula>, while activation layers showed a rise of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1173.34</mn><mo>%</mo></mrow></semantics></math></inline-formula>. …”
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Application of Real-Coded Genetic Algorithm–PID Cascade Speed Controller to Marine Gas Turbine Engine Based on Sensitivity Function Analysis by Yunhyung Lee, Kitak Ryu, Gunbaek So, Jaesung Kwon, Jongkap Ahn

“…The smallest sensitivity function <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>M</mi><mi>s</mi></mrow></semantics></math></inline-formula> (maximum sensitivity) values and minimal changes in <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>M</mi><mi>s</mi></mrow></semantics></math></inline-formula> for uncertain plants confirm robustness against uncertainties. …”
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Assessing Pollution with Heavy Metals and Its Impact on Population Health by Youssef Saliba, Alina Bărbulescu

“…<i>HQ</i> for ingestion, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>H</mi><mi>Q</mi></mrow><mrow><mi>i</mi><mi>n</mi><mi>g</mi></mrow></msub><mo>,</mo></mrow></semantics></math></inline-formula> was the highest for Fe (between 6.10 × 10⁻⁵ and 2.57 × 10⁻⁴). …”
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Enhancing Precipitation Nowcasting Through Dual-Attention RNN: Integrating Satellite Infrared and Radar VIL Data by Hao Wang, Rong Yang, Jianxin He, Qiangyu Zeng, Taisong Xiong, Zhihao Liu, Hongfei Jin

“…Notably, the DA-TrajGRU model achieves reductions in mean squared error (MSE) and mean absolute error (MAE) of 30 (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>9.3</mn><mo>%</mo></mrow></semantics></math></inline-formula>) and 89 (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>6.4</mn><mo>%</mo></mrow></semantics></math></inline-formula>), respectively, compared with those of the conventional TrajGRU model. …”
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Advanced Optimization Algorithm Combining a Fuzzy Inference System for Vehicular Communications by Teguh Indra Bayu, Yung-Fa Huang, Jeang-Kuo Chen, Cheng-Hsiung Hsieh, Budhi Kristianto, Erwien Christianto, Suharyadi Suharyadi

“…The use of a static modulation coding scheme (MCS), such as 7, and resource keep probability (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>P</mi></mrow><mrow><mi>r</mi><mi>k</mi></mrow></msub></mrow></semantics></math></inline-formula>) value, such as 0.8, was proven to be insufficient to achieve the best packet reception ratio (PRR) performance. …”
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Flexible Threshold Quantum Homomorphic Encryption on Quantum Networks by Yongli Tang, Menghao Guo, Binyong Li, Kaixin Geng, Jinxia Yu, Baodong Qin

“…In this paper, we propose a novel <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>(</mo><mi>t</mi><mo>,</mo><mspace width="4.pt"></mspace><mi>n</mi><mo>)</mo></mrow></semantics></math></inline-formula>-threshold QHE (TQHE) network scheme based on the Shamir secret sharing protocol, which allows <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>k</mi><mspace width="4.pt"></mspace><mo>(</mo><mi>t</mi><mo>≤</mo><mi>k</mi><mo>≤</mo><mi>n</mi><mo>)</mo></mrow></semantics></math></inline-formula> evaluators to collaboratively perform evaluation computation operations on each qubit within the shared encrypted sequence. …”
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Kinetic Isotope Effect in the Unfolding of a Protein Secondary Structure: Calculations for Beta-Sheet Polyglycine Dimers as a Model by Alexey O. Yanshin, Vitaly G. Kiselev, Alexey V. Baklanov

“…The calculated strengthening of the interchain hydrogen bonds <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>N</mi><mo>−</mo><mi>H</mi><mo>⋯</mo><mi>O</mi><mo>=</mo><mi>C</mi></mrow></semantics></math></inline-formula> due to heavy isotope substitution decreases in the row H/D >> ¹⁴N/¹⁵N > ¹⁶O/¹⁸O > ¹²C/¹³C. …”
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Information Geometry and Manifold Learning: A Novel Framework for Analyzing Alzheimer’s Disease MRI Data by Ömer Akgüller, Mehmet Ali Balcı, Gabriela Cioca

“…Geodesic distances between No Impairment and Mild Impairment (58.68, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi><mo><</mo><mn>0.001</mn></mrow></semantics></math></inline-formula>) and between Mild and Moderate Impairment (58.28, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>p</mi><mo><</mo><mn>0.001</mn></mrow></semantics></math></inline-formula>) are statistically significant. …”
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The Diurnal Variation of L-Band Polarization Index in the U.S. Corn Belt Is Related to Plant Water Stress by Richard Cirone, Brian K. Hornbuckle

“…On the other hand, when <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>ESI</mi><mo>≥</mo><mn>0</mn></mrow></semantics></math></inline-formula> (no plant water stress), the L-band PI is greater in the evening than in the morning. …”
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An Efficient and Accurate Adaptive Time-Stepping Method for the Landau–Lifshitz Equation by Hyundong Kim, Soobin Kwak, Moumni Mohammed, Seungyoon Kang, Seokjun Ham, Junseok Kim

“…For example, we introduce a numerical test where the adaptive time step decreases from <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>3.05</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>7</mn></mrow></msup></mrow></semantics></math></inline-formula> to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>3.52</mn><mo>×</mo><msup><mn>10</mn><mrow><mo>−</mo><mn>9</mn></mrow></msup></mrow></semantics></math></inline-formula>. …”
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Les verbes de parole et la question de l’(in)transitivité by Béatrice Lamiroy, Michel Charolles

“…However, to account for those verbs which are intransitive (e.g. bégayer, zozoter), we explore a second hypothesis based on a principle of semantic saturation: if the semantics of a verb is highly specific, then the verb is lexically saturated, and hence, syntactically intransitive. …”
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The perfectionism principle in the representation of corporate achievements (based on the annual reports’ material of industrial companies) by Yu. A. Filyasova

“…The research was conducted with the following methods: continuous sampling in the reports’ documents on the listed keywords, semantic selection, quantitative analysis, contextual analysis, semantic classification, data comparison. …”
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