Performance Analysis of Polarization Diversity for Indoor Scenarios at 41.4 GHz and 61.5 GHz by Ana Vazquez Alejos, Manuel Garcia Sanchez, Iñigo Cuiñas

“…Diversity gain calculated ranges from 0.25 to 4.5 dB, depending on the combination technique used, the radiation pattern, the scenario, and the frequency band. The spatial variation of the cross-polar discrimination factor (XPD) has been estimated. …”
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Application of physics-informed neural networks for two-phase flow model with variable diffusion and experimental validation by Daulet Kalesh, Timur Merembayev, Sagyn Omirbekov, Yerlan Amanbek

“…A sensitivity analysis on the constant diffusion coefficient shows that PINNs can approximately capture the pattern of the saturation front. We have found that adapting the spatial-dependent diffusion function provided better accuracy with the experimental data compared to using a constant diffusion coefficient.…”
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Regional Climate Effects of Conversion from Grassland to Forestland in Southeastern China by Rui Yu, Xinsheng Wang, Zhe Yan, Haiming Yan, Qunou Jiang

“…In the future (form 2010 to 2050), the conversion from grassland to forestland is significant under two representative concentration pathways (RCPs) (RCP6 and RCP8.5); the spatial pattern of this conversion under the two scenarios is simulated by dynamic of land system (DLS); then, the regional climate effects of the conversion are simulated using WRF model.…”
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Potential Distribution Prediction of Terminalia chebula Retz. in China Under Current and Future Climate Scenarios by Zhang‐Hong Dong, Hua Jiang, Wei Zhang, Jianhua Wu, Yanping Yang, Taoming Yang, Jiangping Zhao, Cunzhen Luo, Xiaoxia Yang, Guilin Li

“…According to future climate, the potential growth range of T. chebula is expected to expand due to climate variability, showing a significant pattern of expansion towards the north and east within China. …”
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Phasic and periodic change of drought under greenhouse effect by Yang Li, Zhicheng Zheng, Yaochen Qin, Haifeng Tian, Zhixiang Xie, Peijun Rong

“…Two abrupt changes in the drought pattern were observed during the study period, namely, in 1965 and 1983. …”
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Urban growth simulation using cellular automata model and machine learning algorithms (case study: Tabriz metropolis) by Omid Ashkriz, Babak Mirbagheri, Ali Akbar Matkan, Alireza Shakiba

“…Introduction: Urban growth has accelerated in recent decades, therefore, predicting the future growth pattern of the city is very important to prevent environmental, economic, and social problems. …”
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Changes of Surface Wind Speed over Qinghai-Xizang Plateau from 1961 to 2020 and Evaluation of the Dynamical Downscaling Simulations by Jia WU, Jie WU, Yuping YAN

“…In the context of global warming， the in-depth study of the change in surface wind speed over Qinghai-Xizang Plateau can provide support for development planning for the double-carbon policy.Based on the multi-source datasets， it is expected to obtain the qualitative conclusion.In addition， to comprehensive evaluate the performance of CN05.1 gridded dataset as well as the dynamical downscaling simulations can provide guidance for the application of these two datasets over this region.Firstly， the monthly， seasonal and annual averaged wind speed， inter-annual， intra-annual variability of surface wind speed， the trends of wind speed probability for different grades， as well as the spatial distribution over Qinghai-Xizang Plateau were analyzed， based on the five wind speed datasets from 1961 to 2020.Then， the performance in reproducing the monthly， seasonal， annual averaged and long-term variability of surface wind speed from 1986 to 2005 was evaluated， using the five dynamical downscaling simulations and their ensemble mean from regional climate model （RegCM4）.The result indicated that decreasing trends were generally found in the seasonal and annual averaged surface wind speed from 1961 to 2002， with different magnitude among different datasets， while for the period from 2002 to 2020， the significant increasing trend was observed both in CN05.1 and NCEP-1.In addition， the probability of calm wind （0.0~0.2 m·s-1） showed a slightly decrease both in 1961 -2002 and 2002 -2020.The light air （0.3~1.5 m·s-1） and light breeze （1.6~3.3 m·s-1） increased in 1961 -2002 and decreased in 2002 -2020， in the meantime， the gentle breeze （3.4~5.4 m·s-1） and moderate breeze （5.5~7.9 m·s-1） showed a similar change to the mean surface wind speed.Furthermore， the wind speed greater than or equal to 8 m·s-1 mainly decreased in 1961 -2002 and 2002 -2020.Overall， the change in CN05.1 was more closed to station dataset and showed consistent characteristics with JRA-55， which behaved better among reanalysis datasets， indicating the high applicability of CN05.1 over Qinghai-Xizang Plateau.Although all downscaling simulations could reasonably capture the spatial distribution of surface wind speed in different seasons and also well reproduced the wind speed pattern among different topography， the underestimation existed in the northwestern part of Qinghai-Xizang Plateau while the overestimation was prevailing in the other region.Furthermore， the significant deviation was found in the simulation of the intra-annual change， and the magnitude of trends was also underestimated.In terms of different simulations， the result driven by HadGEM2-ES showed a better performance in reproducing the spatial distribution of seasonal and annual mean surface wind speed， while the result driven by MPI-ESM-MR showed smaller root mean square error and better trends.Overall， the smallest relative root mean square error was observed in ensemble mean， implying more stable ability than the individual simulation.…”
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Cavernas do Mato Grosso do Sul: revisão, atributos condicionantes, análise preditiva e autocorrelação espacial by Alesson Pires Maciel Guirra, Antonio Conceição Paranhos Filho

“…It is not possible to predict by purely deterministic statistical method the occurrence of cavities, being verified stochastic pattern in its distribution. The Kernel density estimator allowed qualitative inferences of the probability of occurrence of cavities. …”
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Predictive Modeling the Turbidity Response in Al-Saray Water Distribution Network in Najaf Governorate/Middle of Iraq, Using PODDS Model by Abed Zahraa H., Jasem Hayder M., Mohammed Hayder S.

“…The ability to predict the spatial probability and intensity of discoloration events in distribution systems can lead to the adoption and improvement of proactive operation and maintenance strategies to reduce turbidity. …”
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Traveling waves in a delayed reaction-diffusion SVIR epidemic model with generalized incidence function and imperfect vaccination by Rassim Darazirar

“…The introduction of delays and imperfect vaccination adds richness and complexity to the dynamics, such as possible wave speed adjustments and pattern formations, which are hallmarks of complex systems. …”
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Nonuniformity Correction for Variable-Integration-Time Infrared Camera by Nan Chen, Jiqing Zhang, Shengyou Zhong, Zhongshun Ji, Libin Yao

“…A two-dimensional calibration technique is proposed to correct the spatial nonuniformity in infrared imaging systems adapting to different integration time and time-varying offset with one-time calibration. …”
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Topology Optimization of Textured Journal Bearings by Hanqian Kong, Chunxing Gu, Di Zhang, Lanfei Wu

“…The results show that whether under smaller journal clearances, higher rotational speeds, or larger shaft eccentricity ratios, the formation of intricate bifurcation patterns and enhanced branching in surface textures is consistently promoted. …”
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Studying riots through the lens of social media by Lucas Spierenburg, Sander van Cranenburgh, Oded Cats

“…Using a fine-tuned computer vision model, we detect riot-related content in visual data and validate our approach by comparing the spatiotemporal patterns of detected posts with rioting events reported in the press. …”
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The Way-Finding in Educational Modular Buildings: The Case of the Male Engineering Building at Qatar University by Simona Azzali, Eman Abdel Sabour

“…Way-finding is the ability of people to perceive routes, flow patterns, or passageways inside and/or around a building. …”
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A Model of Trips Route Planning to Improve The Accessibility of Public Transportation In Bengkalis City Using Geographic Information System (GIS) by Nur'ain Jaafar, Hendra Saputra, Mutia Lisya

“…The study employs primary data from field surveys and secondary data from relevant agencies. GIS-based spatial analysis methods, such as service area analysis and the Origin-Destination (OD) matrix, are applied to evaluate accessibility and passenger movement patterns. …”
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Aridity‐Dependent Land Surface Skin Temperature Biases in CMIP5/6 by Wen‐Ying Wu, Zong‐Liang Yang

“…Over humid regions, surface downward shortwave and albedo biases are relatively more critical. Spatial patterns of biases remain similar in the latest CMIP6 simulations, suggesting systematic biases in land‐atmosphere interactions. …”
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Predicting sport event outcomes using deep learning by Jianxiong Gao, Yi Cheng, Jianwei Gao

“…The 1D CNN effectively captures local spatial patterns in structured match data, while the Transformer leverages self-attention mechanisms to model long-range dependencies. …”
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Zoneamento hierárquico da paisagem nos domínios da Bacia do Rio Uruguai / Landscape hierarchical zoning in the domains of the Uruguay River Basin by Marcos Wellausen Dias de Freitas, João Roberto Santos

“…The landscape units mapping and multivariate analysis allows the understanding of the spatial distribution and patterns of the investigated landscape. …”
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Blue-Green Space Changes of Baiyangdian Wetland in Xiong’an New Area, China by Chunlei Zhao, Shuan Qian, Chengzhen Meng, Yufei Chang, Wenzhe Guo, Sha Wang, Yinglong Sun

“…Moreover, the land-use transfer matrix and landscape pattern indices are applied for evaluating the BGS changes in the wetland. …”
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Molecular Mechanisms of Endometrial Functioning in Women with Polycystic Ovary Syndrome by A. Yu. Sambyalova

“…Furthermore, even with ovulation (and thus progesterone acting on endometrium), the PCOS endometrium has several abnormalities including altered expression pattern of receptivity markers during the period of implantation and glucose transporter 4 (GLUT4) expression as well as progesterone-resistance. …”
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