Significant Wave Height Retrieval in Tropical Cyclone Conditions Using CYGNSS Data by Xiangyang Han, Xianwei Wang, Zhi He, Jinhua Wu

“…An enhanced loss function is employed to improve accuracy and mitigate the distribution bias in low-SWH retrieval induced by CDF matching. …”
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On the Expressiveness of the Approach to Constructing PLC-programs by LTL-Specification by E. V. Kuzmin, D. A. Ryabukhin, V. A. Sokolov

“…The idea of the proof is demonstrated by an example of a Minsky 3-counter machine, which implements a function of squaring.…”
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KPMapNet: Keypoint Representation Learning for Online Vectorized High-Definition Map Construction by Bicheng Jin, Wenyu Hao, Wenzhao Qiu, Shanmin Pang

“…Moreover, a novel point-line matching loss function is introduced to further refine the training process. …”
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SYK correlators from 2D Liouville-de Sitter gravity by Herman Verlinde, Mengyang Zhang

“…In [1] it was shown that the two-point function of physical operators in a doubled SYK model matches in the semi-classical limit with the Green’s function of a massive scalar field in 3D de Sitter space. …”
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Investigating the spatio-temporal risk of in-ground fungal wood decay over Europe using the 5th European reanalysis (ERA5-Land) by Philip B. van Niekerk, Brendan N. Marais, Gry Alfredsen, Christian Brischke

“…Soil moisture and temperature data from the ERA5-Land repository were extracted for Europe over a 9 × 9 km point grid, between January 1993 and December 2022. …”
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Multi-Robot Cooperative Simultaneous Localization and Mapping Algorithm Based on Sub-Graph Partitioning by Wan Xu, Yanliang Chen, Shijie Liu, Ao Nie, Rupeng Chen

“…To address the challenges in multi-robot collaborative SLAM, including excessive redundant computations and low processing efficiency in candidate loop closure selection during front-end loop detection, as well as high computational complexity and long iteration times due to global pose optimization in the back-end, this paper introduces several key improvements. First, a global matching and candidate loop selection strategy is incorporated into the front-end loop detection module, leveraging both LiDAR point clouds and visual features to achieve cross-robot loop detection, effectively mitigating computational redundancy and reducing false matches in collaborative multi-robot systems. …”
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Toward model-based individualized fitting of hip-flexion exosuits for persons with unilateral transfemoral amputation by Finn G. Eagen, Nicholas P. Fey

“…The device is simulated for 18 individuals of K2 and K3 Medicare functional classification levels. A user-specific device profile is generated via a three-axis moment-matching optimization using an interior-point algorithm. …”
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Comparative Study on Dynamic Mechanical Properties and Energy Dissipation of Rocks under Impact Loads by Renshu Yang, Weiyu Li, Zhongwen Yue

“…The results show the following: (1) affected by the wave impedance matching relationship, the reflected waves, strain rates, and reflected energy of the three kinds of rock showed significant differences under the same incident stress wave. (2) The dynamic mechanical characteristics and energy dissipation laws of the rocks all had obvious strain rate effects, but the dynamic uniaxial compressive strength and energy dissipation density of the three rock types had different sensitivities to the strain rate. (3) The change trend of the energy utilization efficiency of the gray sandstone with incident energy was different from that of the red sandstone and granite; there was no obvious extreme point in the incident energy range. …”
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Energy-Momentum tensor correlators in ϕ4 theory I: The spin-zero sector by Nikos Irges, Leonidas Karageorgos

“…Then, using the 3-point function 〈Θϕϕ〉, we construct the operator Θ as a certain linear combination of the basis operators, using the requirements that Θ should vanish on the fixed point and that it should have zero anomalous dimension. …”
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Adaptive Artificial intelligence based fuzzy logic MPPTcontrol for stande-alone photovoltaic system under different atmospheric conditions by Zaghba Layachi, Abdelhalim Borni, Abdelhak Bouchakour, Nadjiba Terki

“…</strong><strong> </strong><strong>In order to allow a functioning around the optimal point Mopt, we have inserted a <em>DC-DC </em>converter (Buck–Boost) for a better matching between the PV and the load</strong><strong>. …”
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Continuous-spin particles, on shell by Brando Bellazzini, Stefano De Angelis, Marcello Romano

“…We solve them by realizing a non-trivial representation for all little-group generators on the space of functions of bi-spinors. The three-point amplitudes are uniquely determined by matching their high-energy limit to that of definite-helicity (ordinary) massless particles. …”
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S-duality of boundary lines in N $$ \mathcal{N} $$ = 4 SYM theories and supersymmetric indices by Yasuyuki Hatsuda, Tadashi Okazaki

“…We demonstrate that the two-point functions of the boundary ’t Hooft lines of magnetic charges associated with the minuscule representations in the presence of the regular Nahm pole boundary conditions can be obtained by applying the Higgsing prescription to the half-indices of the Dirichlet boundary conditions. …”
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c = 1, R = 1 and N ≫ 1: ZZ instantons in 2D string theory and matrix integrals by Rishabh Kaushik

“…We calculate the instanton normalizations, disk two-point function, and annulus one-point function in worldsheet formalism using string field theory insights. …”
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Automatic detection and counting of wheat spike based on DMseg-Count by Hecang Zang, Yilong Peng, Meng Zhou, Guoqiang Li, Guoqing Zheng, Hualei Shen

“…Finally, the total loss function was constructed to optimize the model. The test results showed that the mean absolute error (MAE) and root mean square error (RMSE) of the proposed DMseg-Count model were 5.79 and 7.54, respectively, which were 9.76 and 10.91 higher than the standard distribution matching for crowd counting (DM-Count) model. …”
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An Algorithm for Sound Velocity Error Correction Using GA-SVR Considering the Distortion Characteristics of Seabed Topography Measured by Multibeam Sonar Mounted on Autonomous Unde... by Xiaohan Yu, Junsen Wang, Yang Cui, Shaohua Jin, Gang Bian, Na Chen

“…Then, the SVE of the main survey line was corrected, including calculating the discrepancy values between the matching point pairs of the main and auxiliary survey lines, and establishing a regression model about depth error using the SVR algorithm. …”
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Design of a Piezoelectrically Actuated Ultrananocrystalline Diamond (UNCD) Microcantilever Biosensor by Villarreal Daniel, Orlando Auciello, Elida de Obaldia

“…Subsequently, a Gaussian distribution mass function with a variance of 5 µm was implemented to evaluate the resonant frequency shift upon mass addition at a certain point on the microcantilever where a variation from 600 Hz to 100 Hz was observed when the mass distribution center was located at the tip of the microcantilever and the piezoelectric borderline, respectively. …”
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Double-scaled SYK and de Sitter holography by Vladimir Narovlansky, Herman Verlinde

“…We find that in the large N limit, the two-point function precisely matches with the Green’s function of a massive scalar field of mass squared m 2 = 4∆(1 – ∆) in a 3D de Sitter space-time with radius R dS/G N = 4πN/p 2. …”
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Musical auditory feedback BCI: clinical pilot study of the Encephalophone by Thomas A. Deuel, Thomas A. Deuel, James Wenlock, Alana McGovern, James Rosenthal, Juan Pampin

“…After 2–3 songs - approximately 10 min - of freely improvised playing, subjects repeated the pitch-matching task. There were 3 sessions of testing and free play per subject, within 2 weeks, with at least 1 day separating sessions.ResultsAll subjects, on average, improved their pitch-matching accuracy by 15.6 percentage points and increased their number of hits by 58.7% over the 3 sessions, with all subjects scoring accuracy percentages significantly above random probability (19.05%). …”
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School Choice in a Market Environment: Individual versus Social Expectations by Catalina Canals, Eric Goles, Aldo Mascareño, Sergio Rica, Gonzalo A. Ruz

“…We develop two related models (individual expectations and social expectations) and prove that they are driven by a Lyapunov function, obtaining that both models converge to fixed points. …”
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Observation of higher-order deterministic optical vortices from random vortex beams by Yonglei Liu, Siyu Xu, Peipei Peng, Yongtao Zhang, Siting Dai, Yahong Chen, Yangjian Cai, Fei Wang

“…Optical vortices in coherent beams have been identified as spiral phases with intensity nulls at singularities, while in random beams, they appear as coherence vortices in correlation functions, often not matching intensity nulls. Observing deterministic optical vortices in random beams is challenging due to their randomness. …”
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