ToMCCA: a Toy Monte Carlo Coalescence Afterburner by Maximilian Mahlein, Chiara Pinto, Laura Fabbietti

“…The results of ToMCCA show that the coalescence mechanism in pp collisions depends only on the event multiplicity, not on the collision system or its energy. …”
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A causal intercomparison framework unravels precipitation drivers in Global Storm-Resolving Models by Lucile Ricard, Tom Beucler, Claudia Christine Stephan, Athanasios Nenes

“…Abstract Correctly representing convective precipitation remains a long-standing problem in climate models, due to its highly parameterized nature and unclear role of drivers interacting over a wide range of spatial scales. …”
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Multidisciplinary Design Optimization of Reentry-Powered Hypersonic Vehicles Based on Surrogate Model by Shoudong Ma, Yuxin Yang, Yesi Chen, Hua Yang, Weifang Chen

“…The optimization results show that the method has a good convergence speed, which increases the gliding range of the optimized vehicle by 8.37%. …”
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Animal movement estimation and network-based epidemic modeling: Illustration for the swine industry in Iowa (US). by Qihui Yang, Beatriz Martínez-López, Sifat Afroj Moon, Jose Pablo Gomez-Vazquez, Caterina Scoglio

“…Results show that premises with a central role in the network are more vulnerable to disease outbreaks and play an important role in disease spread. …”
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Transmission matrix parameter estimation of COVID-19 evolution with age compartments using ensemble-based data assimilation. by Santiago Rosa, Manuel A Pulido, Juan J Ruiz, Tadeo J Cocucci

“…We conducted a set of idealized twin experiments to explore the performance of different ways in which social interactions can be parametrized through the transmission matrix of the meta-population model. These experiments show that, in an age-compartmental model, all the independent parameters of the transmission matrix cannot be unequivocally estimated, i.e., they are not all identifiable. …”
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Bayesian RG flow in neural network field theories by Jessica N. Howard, Marc S. Klinger, Anindita Maiti, Alexander G. Stapleton

“…The Bayesian renormalization group (BRG) is an information-theoretic coarse graining scheme that generalizes the principles of the exact renormalization group (ERG) to arbitrarily parameterized probability distributions, including those of NNs. …”
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Exploring the Impact of Rainfall on Vehicle Trajectory Patterns and Sideslip Risk: An Empirical Investigation by Bo Wang, Yiik Diew Wong, Chi Zhang, Hong Zhang, Yanyang Gao

“…The classification results show that the proposed method can effectively classify trajectories according to nine trajectory patterns. …”
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Investigation into the impact of storms on sustaining summer primary productivity in the Sub‐Antarctic Ocean by Sarah‐Anne Nicholson, Marina Lévy, Joan Llort, Sebastiaan Swart, Pedro M. S. Monteiro

“…Using a 1‐D biogeochemical model, we show how storm‐driven mixing provides relief from phytoplankton iron limitation through the entrainment of iron beneath the productive layer. …”
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Mixed Grover: A Hybrid Version to Improve Grover's Algorithm for Unstructured Database Search by Romain Piron, Muhammad Idham Habibie, Claire Goursaud

“…In this article, we propose a new strategy to exploit Grover's algorithm for unstructured search problems. We first show that running Grover's routine with a reduced number of iterations but allowing several trials presents a complexity advantage while keeping the same success probability. …”
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Hinode/EIS Observation of the Alfvénic Fluctuations in the Quiet Sun by Edris Tajfirouze, Richard Morton, Peter R. Young

“…The Fourier transform of the observed signals show the Doppler velocity has a broad spectrum distributed as a power law with a power enhancement around 3–4 mHz. …”
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Dynamic Error Compensation for Ball Screw Feed Drive Systems Based on Prediction Model by Hongda Liu, Yonghao Guo, Jiaming Liu, Wentie Niu

“…Based on the lumped and distributed mass methods, this method constructs a parameterized dynamic model relying on the moving component’s position for electromechanical coupling modeling. …”
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Data efficient prediction of excited-state properties using quantum neural networks by Manuel Hagelueken, Marco F Huber, Marco Roth

“…This is achieved by using a quantum circuit that requires a number of parameters linearly proportional to the number of molecular orbitals, along with a parameterized measurement observable, thereby reducing the number of necessary measurements. …”
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Investigating Influences on the Pb Pseudo‐Isochron Using Three‐Dimensional Mantle Convection Models With a Continental Reservoir by James Panton, J. Huw Davies, Tim Elliott, Morten Andersen, Don Porcelli, Matthew G. Price

“…Abstract For mid‐ocean ridge basalts and ocean island basalts, measurements of Pb isotope ratios show broad linear correlations with a certain degree of scatter. …”
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A Simple Model for the Emergence of Relaxation‐Oscillator Convection by F. E. Spaulding‐Astudillo, J. L. Mitchell

“…We develop a model of moist convection by combining a zero‐buoyancy model of bulk‐plume convection with a QE heat engine model, and we use it to show that QE is violated at high surface temperatures. …”
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Adaptive Q-Learning Grey Wolf Optimizer for UAV Path Planning by Golam Moktader Nayeem, Mingyu Fan, Golam Moktader Daiyan

“…In path planning simulation, QGWO lowers the path cost by 27.4%, improves the convergence speed by 19.06%, and reduces the area under the curve (AUC) by 23.8% over standard GWO, achieving optimal trajectory. Results show that QGWO is an efficient, reliable algorithm for UAV path planning in dynamic environments.…”
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Optimal Low-Carbon Scheduling for Smart Microgrids With Dynamic Thermal Capacity Constraints by Peng Xie, Hongwei Liu, Chun Chen, Mingjun Liu

“…This study proposes a two-stage day-ahead robust optimization framework for the microgrids, integrating tri-level min-max-min modeling to address multidimensional uncertainties through parameterized uncertainty sets to balance conservatism and optimize costs under worst-case scenarios. …”
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A review of mechanical deformation and seepage mechanism of rock with filled joints by Lei Yue, Wei Li, Yu Liu, Shuncai Li, Jintao Wang

“…Filled jointed rocks usually show mechanical properties that are weaker than those of intact rocks but stronger than those of rocks with fractures. …”
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A New Approach to the Criteria-Weighted Fuzzy Soft Max-Min Decision-Making Method and Its Application to a Performance-Based Value Assignment Problem by Samet Memiş, Serdar Enginoğlu

“…Thereafter, we compare the running time of these algorithms. The results show that EM20a and EM20o outperform RM13a and RM13o, respectively, in any number of data. …”
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SDFA-Net: Synergistic Dynamic Fusion Architecture With Deformable Attention for UAV Small Target Detection by Yunsong Qi, Hengwei Cao

“…At the network architecture level, first, a lightweight multiscale attention feature extraction architecture is designed to improve the base module by introducing a heavily parameterized convolution and incorporating a multiscale attention mechanism. …”
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Modeling home property listings’ time-on-market duration and listing outcome using copula-based competing risk method by Yicong Liu, Saeed Shakib, Eric J. Miller, Khandker Nurul Habib

“…The copula-based joint model can be integrated into a LUTI microsimulation framework to parameterize the maximum TOM duration of each simulated property for sale in the housing market, improving its market-clearing process to represent real-world behavior better. …”
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