Predicting wildlife corridors for multiple species in an East African ungulate community. by Jason Riggio, Katie Foreman, Ethan Freedman, Becky Gottlieb, David Hendler, Danielle Radomille, Ryan Rodriguez, Thomas Yamashita, John Kioko, Christian Kiffner

“…Zebra was the best single-species proxy for landscape connectivity. Overall, we show that multi-species corridors based on stacked species distribution models achieve relatively low cumulative costs for savanna ungulates as compared to their respective single-species corridors. …”
Get full text

Impact Characteristics and Fatigue Life Analysis of Multi-Wire Recoil Spring for Guns by Zhifang Wei, Xiaolian Zhang, Yecang Hu, Yangyang Cheng

“…Finally, according to the Miner fatigue cumulative damage theory, the fatigue life prediction of the recoil spring based on the S-N curve of the material is compared with experimental results. The research results show that the recoil spring has obvious transient characteristics during the impact of the bolt carrier. …”
Get full text

Global greening drives significant soil moisture loss by Yongchang Liu, Zhi Li, Yaning Chen, Liangning Jin, Feng Li, Xuanxuan Wang, Yunxia Long, Chuanxiu Liu, Patient Mindje Kayumba

“…Despite uncertainties arising from discrepancies in model parameterizations in ESMs and the limited representation of regional-scale feedback across SM datasets, our study provides a robust and comprehensive assessment of the widespread impacts of global vegetation greening on soil drought. …”
Get full text

Research on power coupling interface in multi-technology fusion collaborative simulation under novel power system by ZOU Shirong, LU Youfei, LIANG Xueqing, LIU Chao, FENG Binjie, XU Jin

“…It shows how to analyze the simulation stability through the interface passivity, and solve the simulation accuracy problem based on the concept of interface transparency. …”
Get full text

Preliminary analysis of wave retrieval from Chinese Gaofen-3 SAR imagery in the Arctic Ocean by Wei-Zeng Shao, Chi Zhao, Xing-Wei Jiang, Wei-Li Wang, Wei Shen, Jun-Cheng Zuo

“…A comparison of the HY-2B winds with the wind speeds generated by the geophysical model function (GMF) CMOD5.N showed a 3.36 m/s root mean square error (RMSE) with a correlation (COR) of 0.66. …”
Get full text

Complex-Scene SAR Aircraft Recognition Combining Attention Mechanism and Inner Convolution Operator by Wansi Liu, Huan Wang, Jiapeng Duan, Lixiang Cao, Teng Feng, Xiaomin Tian

“…Experiments on the SAR-AIRcraft-1.0 dataset, which includes seven categories such as A220, A320/321, A330, ARJ21, Boeing737, Boeing787, and others, show that the mAP and mRecall of YOLOv7-MTI reach 93.51% and 96.45%, respectively, outperforming Faster R-CNN, SSD, YOLOv5, YOLOv7, and YOLOv8. …”
Get full text

Simulation of intercalation and phase transitions in nano-porous, polycrystalline agglomerates by Simon Daubner, Marcel Weichel, Martin Reder, Daniel Schneider, Qi Huang, Alexander E. Cohen, Martin Z. Bazant, Britta Nestler

“…The phase-field method is employed to parameterize complex open pore cathode microstructures and we present a formulation to impose galvanostatic charging conditions on the diffuse boundary representation. …”
Get full text

AQEA-QAS: An Adaptive Quantum Evolutionary Algorithm for Quantum Architecture Search by Yaochong Li, Jing Zhang, Rigui Zhou, Yi Qu, Ruiqing Xu

“…As a core component of a QNN, the parameterized quantum circuit (PQC) plays a crucial role in determining the QNN’s overall performance. …”
Get full text

Comparative Evaluation of the Effects of Variable Spark Timing and Ethanol-Supplemented Fuel Use on the Performance and Emission Characteristics of an Aircraft Piston Engine by Roussos Papagiannakis, Nikolaos Lytras

“…In a nutshell, the outcoming results of this research show that the combination of the two methods examined may be a valuable solution if applied to existing reciprocating SI engines.…”
Get full text

A modeling study of pre-exposure prophylaxis to eliminate HIV in Taiwan by 2030 by Huei-Jiuan Wu, Ya-Ping Cheng, Yi-Hsuan Chen, Chia-Chen Chang, Tung Lo, Chi-Tai Fang

“…Cost-effectiveness was evaluated from a societal perspective. Results Here we show that an intensive HIV test-and-treat strategy targeting HIV-positive individuals alone would substantially decrease HIV transmission but is not sufficient to eliminate the HIV epidemic among MSM at the estimated mixing level. …”
Get full text

Isogeochemical Characterization of Mountain System Recharge Processes in the Sierra Nevada, California by Sandra Armengol, Hoori Ajami, Juan S. Acero Triana, James O. Sickman, Lucia Ortega

“…We quantified the contribution of each Mountain System Recharge process to the valley aquifer by calculating mixing ratios. Our results show that deep Mountain Block Recharge is a significant recharge component, representing 31%–53% of the valley groundwater. …”
Get full text

Incorporating the Acclimation of Photosynthesis and Leaf Respiration in the Noah‐MP Land Surface Model: Model Development and Evaluation by Yanghang Ren, Han Wang, Sandy P. Harrison, I. Colin Prentice, Giulia Mengoli, Long Zhao, Peter B. Reich, Kun Yang

“…While some land surface models (LSMs) now account for thermal acclimation, they do so by assigning empirical parameterizations for individual plant functional types (PFTs). …”
Get full text

Estimation of Earth Reflection Spectral Radiation Flux and External Stray Radiation From a Moon-Based Spectral Radiometer by Cong Zhao, Kai Wang, Ye Jiang, Xin Ye, Xiaolong Yi, Wei Fang, Ping Zhu, Shuqi Li, Zhitao Luo

“…Establishing the spectral radiation measurement model and analyzing stray radiation of MBSR are crucial for parameterizing the instrument. By utilizing a Sun-Earth-Moon geometric model, the Earth’s reflection spectral irradiance and stray radiation spectral irradiance models at the instrument’s pupil are established, enabling the evaluation of spectral radiation under various observation phases. …”
Get full text

Improving Prediction of Marine Low Clouds Using Cloud Droplet Number Concentration in a Convolutional Neural Network by Yang Cao, Yannian Zhu, Minghuai Wang, Daniel Rosenfeld, Chen Zhou, Jihu Liu, Yuan Liang, Kang‐En Huang, Quan Wang, Heming Bai, Yichuan Wang, Hao Wang, Haipeng Zhang

“…This highlights the importance of incorporating non‐local information, at least on a daily scale, into low cloud predictions to enhance climate model parameterizations.…”
Get full text

Hydrodynamic Processes of Incipient Meander Chute Cutoffs: Laboratory Experiments With Implications for Morphodynamics and Depth‐Averaged Modeling by Jason T.‐Y. Lin, Esteban Lacunza, Roberto Fernández, Marcelo H. García, Bruce Rhoads, Jim Best, Jessica Z. LeRoy, Gary Parker

“…This implies that 2D depth‐averaged hydrodynamic models, parameterized and calibrated for secondary flow in single‐channel meanders, are suitable for simulating flow within chute cutoffs.…”
Get full text

The evolution of aerosol mixing state derived from a field campaign in Beijing: implications for particle aging timescales in urban atmospheres by J. Liu, F. Zhang, J. Ren, L. Chen, A. Zhang, Z. Wang, S. Zou, H. Xu, X. Yue

“…Furthermore, through a comprehensive review of the mixing–aging timescale of particles adopted in current models and derived from observations, we show a great discrepancy between observations and models, highlighting the importance of parameterizing their aging timescale based on more field campaigns.…”
Get full text

JAX‐CanVeg: A Differentiable Land Surface Model by Peishi Jiang, Patrick Kidger, Toshiyuki Bandai, Dennis Baldocchi, Heping Liu, Yi Xiao, Qianyu Zhang, Carlos Tianxin Wang, Carl Steefel, Xingyuan Chen

“…Abstract Land surface models consider the exchange of water, energy, and carbon along the soil‐canopy‐atmosphere continuum, which is challenging to model due to their complex interdependency and associated challenges in representing and parameterizing them. Differentiable modeling provides a new opportunity to capture these complex interactions by seamlessly hybridizing process‐based models with deep neural networks (DNNs), benefiting both worlds, that is, the physical interpretation of process‐based models and the learning power of DNNs. …”
Get full text

DyTAM: Accelerating Wind Turbine Inspections with Dynamic UAV Trajectory Adaptation by Serhii Svystun, Lukasz Scislo, Marcin Pawlik, Oleksandr Melnychenko, Pavlo Radiuk, Oleg Savenko, Anatoliy Sachenko

“…Field trials at a commercial site under challenging wind conditions show that deviations from planned trajectories are lowered by 68%. …”
Get full text

Multiple modes in tropical tree cover: a multi-dimensional perspective by Sebastian Bathiany, Eun Joo Kim, Niklas Boers

“…However, when considering ecologically more realistic parameterizations of tree cover, as used in process-based vegetation models, we find that multiple tree cover modes are more difficult to obtain in the absence of alternative stable states. …”
Get full text

Optimization of Sensor Targeting Configuration for Intelligent Tire Force Estimation Based on Global Sensitivity Analysis and RBF Neural Networks by Yu Zhang, Guolin Wang, Haichao Zhou, Jintao Zhang, Xiangliang Li, Xin Wang

“…A 205/55 R16 radial tire was selected as the research object, and a finite element model was established using the parameterized modeling approach with the ABAQUS finite element simulation software. …”
Get full text