UA-ICON with the NWP physics package (version ua-icon-2.1): mean state and variability of the middle atmosphere by M. Kunze, C. Zülicke, T. A. Siddiqui, T. A. Siddiqui, C. C. Stephan, Y. Yamazaki, C. Stolle, S. Borchert, H. Schmidt

“…We implemented optimized parameter settings for the GWD parameterizations to achieve more realistic mesosphere/lower thermosphere (MLT) temperatures and zonal winds. …”
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Streamline Effect Improvement of Additive Manufactured Airfoil Utilizing Dynamic Stream Control Procedure by R. Srinath, R. Mukesh, Manish C. Poojari, Inamul Hasan, Wubetu Amare Alebachew

“…The comparative outcome showed a reduction in drag at certain angles of attack due to the surface finish obtained. …”
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A Calculation Method for Axle Load and Wheel Weight Analysis of 100% Low Floor for Suspended-modular Tram by Zeya WANG, Caiying MI, Huadong DUAN

“…The results showed that the calculation method was reasonable and effective, and could be applied to the weight management of 100% low floor tram design process.…”
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Research on Design Method of Bionic Tooth Profile High-torque Synchronous Pulley by Shuai Mo, Lijuan Shi, Zongxiang Yue, Xiaolin Cao, Yunsheng Huang

“…The uniform stress distribution of the tooth roots of the bionic synchronous pulley and the conventional arc synchronous pulley is compared. The research shows that the proposed method can significantly reduce the uniform distribution stress of the synchronous pulley and reduce the root stress concentration. …”
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On-board Multi-User Detection Algorithm Based on Conditional Neural Process by Yilun LIU, Liang JIN, Jiali LI, Lidong ZHU

“…With the characteristics of all-terrain, all-weather and seamless coverage, satellite communications have become a potentially important part of 6G.An important prerequisite for achieving satellite intelligence is that the satellite have on-board processing capabilities.Multi-user detection (MUD) is a classic method of suppressing multiple access interference (MAI) in wireless communication, such as MMSE, Gaussian processregression (GPR) and other algorithms.Due to the inverse matrix required in the detection process, the algorithm complexity is usually cubic, and it is diff cult to directly apply to satellite platforms because of its limited processing capabilities.The conditional neural process combined the characteristics of the low complexity of the neural network and the data-eff cient of the Gaussian process.The neural network was used to parameterized the Gaussian process to avoided the inversion of the matrix, thereby reduced the computational complexity.The application of conditional neural process in MUD was studied.The simulation results showed that, while reduced complexity, conditional neural process also greatly improved the performance of bit error rate (BER).…”
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Control of Ocean Temperature on Jakobshavn Isbræ's Present and Future Mass Loss by Johannes H. Bondzio, Mathieu Morlighem, Hélène Seroussi, Michael H. Wood, Jérémie Mouginot

“…Abstract Large uncertainties in model parameterizations and input data sets make projections of future sea level rise contributions of outlet glaciers challenging. …”
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Dependence of Plasmaspheric Hiss Power on ωpe/Ωce by Mingyue Lu, Hui Zhu, Yingying Zhao, Huicong Chen, Zhijie Qin, Zhenghao She

“…The statistical comparison spans a wide range of magnetic local times, frequency bands, and substorm activity levels. Hiss power shows a stronger correlation with ωpe/Ωce than with L shell, especially at low frequencies and during periods of enhanced substorm activity. …”
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Observations of Turbulence Generated by a Near‐Inertial Wave Propagating Downward in an Anticyclonic Eddy by Matthew H. Alford, Arnaud Le Boyer, Alice S. Ren, Gunnar Voet, Charlotte Bellerjeau, Caitlin B. Whalen, Brendan Hall, Nicole Couto

“…Abstract Two perpendicular microstructure turbulence and shipboard velocity sections were conducted at high horizontal resolution across an anticyclonic warm core ring. The observations showed elevated turbulence in the core of the eddy, coincident with regions of low Richardson number (Ri). …”
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Height-diameter allometry for tropical forest in northern Amazonia. by Robson Borges de Lima, Eric Bastos Görgens, Fernando Elias, Jadson Coelho de Abreu, Aldine Luiza Baia, Cinthia Pereira de Oliveira, Diego Armando Silva da Silva, Anderson Pedro Bernardina Batista, Robson Carmo Lima, Eleneide Doff Sotta, Rinaldo Luiz Caraciolo Ferreira, José Antônio Aleixo da Silva, Marcelino Carneiro Guedes

“…The functional form of the Weibull model was the best local model, showing similar performance to the pantropical model. …”
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Novel extensions of k-harmonically convex functions and their applications in information science. by Asfand Fahad, Shigeru Furuichi, Zammad Ali, Yuanheng Wang

“…First, we propose an r-parameterized extension of k-HCF, broadening its applicability. …”
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Optimization Design and Experimental Verification of Type B Bogie Frame Structure Based on Workbench by Ming ZHANG, Pengpeng ZHI

“…Secondly, using APDL language to parameterize the model, based on Workbench’s optimization design module, genetic algorithm was used to optimize the structure, and the optimized new structure was obtained, and the structure strength was analyzed. …”
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Fluid flow observer for an asynchronous electric drive of a centrifugal pump by O. A. Lysenko

“…To identify the volume flow, a centrifugal pump model is used, parameterized by a second-degree polynomial. The authors present simulation results showing the high accuracy of the developed observer, with an error of no more than 3% in steady state. …”
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Innovative Evaluation Framework for Consumer Electronics-Enabled Intelligent Transportation Systems: Leveraging <inline-formula><tex-math notation="LaTeX">$q$</tex-math></inline-fo... by Badiea Abdulkarem Mohammed, Himanshu Dhumras, Varun Shukla, Rakesh Kumar Bajaj, Zeyad Ghaleb Al-Mekhlafi

“…These operators enhance decision-making accuracy by modeling sub-parameterized uncertainties. The proposed method is applied to rank five cities for the deployment of ITS, showing excellent flexibility and precision compared to existing methods. …”
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Multilevel selection analysis of a microbial social trait by Laura de Vargas Roditi, Kerry E Boyle, Joao B Xavier

“…Our analysis shows that multilevel selection can favor costly swarming cooperation because it causes population expansion. …”
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Diurnal Variation of Soil Heat Flux at an Antarctic Local Area during Warmer Months by Marco Alves, Jacyra Soares

“…A priori, the OHM coefficients obtained in this study may only be used for short-time parameterizations and for filling data gaps at this specific site.…”
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Conformational spread in the flagellar motor switch: a model study. by Qi Ma, Dan V Nicolau, Philip K Maini, Richard M Berry, Fan Bai

“…Analysis of the simulated switching dynamics revealed a mechanism for chemotactic ultrasensitivity, in which cooperativity is indispensable for realizing both coherent switching and effective amplification. These results showed how cells can combine elements of analog and digital control to produce switches that are simultaneously sensitive and reliable.…”
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Realistic Precipitation Diurnal Cycle in Global Convection‐Permitting Models by Resolving Mesoscale Convective Systems by Jinyan Song, Fengfei Song, Zhe Feng, L. Ruby Leung, Chao Li, Lixin Wu

“…Comparison of the high‐ (25–50 km) and low‐resolution (100–250 km) models with parameterized convection in HighResMIP shows that simply increasing model resolution does not noticeably improve the precipitation diurnal cycle. …”
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An Interpretable Weather Forecasting Model With Separately‐Learned Dynamics and Physics Neural Networks by Mengxuan Chen, Jinxiao Zhang, Runmin Dong, Yidan Xu, Haoyuan Liang, Juepeng Zheng, Lanning Wang, Haohuan Fu

“…Through 10‐day iterative forecasts, our model shows comparable performance to purely data‐driven models when trained at 1.5° resolution, with fewer parameters, and faster training speed than physics‐informed neural networks, like those solving differential equations. …”
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Deconstructing isolation-by-distance: The genomic consequences of limited dispersal. by Stepfanie M Aguillon, John W Fitzpatrick, Reed Bowman, Stephan J Schoech, Andrew G Clark, Graham Coop, Nancy Chen

“…Furthermore, we built coalescent simulations parameterized by the observed dispersal curve, population density, and immigration rate, and showed how incorporating these extensions to Malécot's theory of isolation-by-distance allows us to accurately reconstruct observed sex-specific isolation-by-distance patterns in autosomal and Z-linked SNPs. …”
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Green gram yield projections for Kibwezi east subcounty Kenya using the APSIM model under RCP's 4.5 and 8.5 by ZIPPORAH MALUVU, CHRISTOPHER OLUDHE, DANIEL KISANGAU, JACINTA M. MAWEU

“…Varieties KS 20 and Biashara showed relatively high resilience to increased temperatures. …”
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