Side Null Analysis of the Main-Auxiliary Antenna Array for Noncooperative Interference Cancellation by ZheYu Li, JiaHao Zhang, YaXing Li, FangMin He, HongZhang Gao, Jin Meng

“…And the cancellation ratio of the desired signal (SCR) is deduced to quantitatively characterize the side null. The spatial noncooperative interference cancellation model based on the main-auxiliary antenna array is established. …”
Get full text

Application of the Poor Man's Navier-Stokes Equations to Real-Time Control of Fluid Flow by James B. Polly, J. M. McDonough

“…-S. system at specific spatial locations. Herein, we outline derivation of these equations and discuss their basic properties. …”
Get full text

A high-accuracy exponential time integration scheme for the Darcy–Forchheimer Williamson fluid flow with temperature-dependent conductivity by Arif Muhammad Shoaib

“…Accurately modelling non-Newtonian fluid flow through porous media is vital in several industrial and engineering processes, particularly where inertial effects and temperature-dependent properties are critical. …”
Get full text

Trajectory- and Friendship-Aware Graph Neural Network with Transformer for Next POI Recommendation by Chenglin Yu, Lihong Shi, Yangyang Zhao

“…To address this, we propose a model that combines check-in trajectory information with user friendship relationships and uses a Transformer architecture for prediction (TraFriendFormer). …”
Get full text

Multi-Site Air Quality Index Forecasting Based on Spatiotemporal Distribution and PatchTST-Enhanced: Evidence From Hebei Province in China by Wenyi Cao, Rufei Zhang, Wenxin Cao

“…However, few existing models can achieve multi-scale feature fusion and long sequence time series modeling in the prediction process. …”
Get full text

Implications of Climate Change for Bird Conservation in the Southwestern U.S. under Three Alternative Futures. by Megan M Friggens, Deborah M Finch

“…Using Maximum Entropy (MaxEnt3.3.3) modeling, we characterized habitat relationships and generated spatial predictions of habitat suitability for the Lucy's warbler (Oreothlypis luciae), the Southwestern willow flycatcher (Empidonax traillii extimus) and the Western yellow-billed cuckoo (Coccyzus americanus). …”
Get full text

Integrating Bayesian classification and ANN for lithofacies classification using well and seismic data: Bahregansar case study by Hessam Mansouri Siahgoli, Mohammad Ali Riahi, Majid Nabi-Bidhendi, Seyedmohsen Seyedali

“…Following well log corrections and shear wave velocity (Vs) prediction through rock physics modeling, an adaptive rock physics template (AI vs. …”
Get full text

The fatigue life estimation of the porous AlSi9Cu3 alloy based on the classification of pore geometry using multivariate probability distribution density by Dejan Tomažinčič, Branislav Panić, Marko Nagode, Jernej Klemenc

“…The proposed method offers a significant improvement in the accuracy of modeling fatigue life curves with respect to the spatial topology of porosity because it is leveraging μ-CT imaging for quantitative macrostructural characterization with statistical analysis. …”
Get full text

Cannabidiol as a multifaceted therapeutic agent: mitigating Alzheimer's disease pathology and enhancing cognitive function by Iu Raïch, Jaume Lillo, Joan Biel Rebassa, Christian Griñán-Ferré, Aina Bellver-Sanchis, Irene Reyes-Resina, Rafael Franco, Mercè Pallàs, Gemma Navarro

“…Moreover, CBD treatment was shown to reduce neuroinflammation, as CBD was able to skew microglia towards a neuroprotective M2 phenotype while attenuating proinflammatory cytokine release in the 5xFAD AD mouse model. Notably, daily CBD injections (10 mg/Kg) for 28 days in 5xFAD mice resulted in significant improvements in both short- and long-term spatial memory. …”
Get full text

Simulation study on the thermal response characteristics of the encapsulated perfluorohexanone extinguishing agent by Yu Wenqi, Zhang Tianwei, Guo Zidong, Liu Hao, Yuan Jianhua

“…This study employs numerical simulation to investigate the thermal response characteristics by observing the phase changes of microcapsules in confined spaces and their spatial cooling effects. It establishes a numerical heat transfer model and validates its effectiveness through experiments. …”
Get full text

Conv1D-GRU-Self Attention: An Efficient Deep Learning Framework for Detecting Intrusions in Wireless Sensor Networks by Kenan Honore Robacky Mbongo, Kanwal Ahmed, Orken Mamyrbayev, Guanghui Wang, Fang Zuo, Ainur Akhmediyarova, Nurzhan Mukazhanov, Assem Ayapbergenova

“…It achieved an accuracy of 98.6%, precision of 98.63%, recall of 98.6%, F1-score of 98.6%, and an ROC-AUC of 0.9994, indicating strong predictive capability even with imbalanced data. In addition to centralized training, the model was tested under cooperative, node-based learning conditions, where each node independently detects anomalies and contributes to a collective decision-making framework. …”
Get full text

Effects of vector control interventions on spatio-temporal changes of falciparum malaria risk in children aged 2–10 in sub-Saharan African regions during 2011–2020 by Changkuoth Jock Chol, Changkuoth Jock Chol, Denekew Bitew Belay, Denekew Bitew Belay, Haile Mekonnen Fenta, Haile Mekonnen Fenta, Haile Mekonnen Fenta, Ding-Geng Chen, Ding-Geng Chen

“…The auto-regressive process reveals a highly significant temporal correlation, while the global spatial dependency parameter indicates a modest spatial correlation. …”
Get full text

Effect of variation in gridded cattle diet composition on estimated enteric methane emissions in data sparse tropical regions by J.Y. Mutua, A.J. Duncan, T.P. Robinson, S. Fraval, A.M.O. Notenbaert, G.R. Watmough

“…It is crucial to revise default values for production systems to improve results from livestock emission models, thus informing better national-level strategies for emission reduction.…”
Get full text

The type I collagen paradox in PDAC progression: microenvironmental protector turned tumor accomplice by Qian Li, Cheng Yang, Junqiang Li, Ronglin Wang, Jie Min, Yang Song, Haichuan Su

“…Unlike the pro-tumorigenic role caused by excessive deposition in other cancers, PDAC features a dense stroma with spatial heterogeneity, where Col I deposition exhibits paradoxical pro- and anti-tumor effects: Cancer-associated fibroblasts secrete heterotrimeric Col I (α1/α1/α2), which initially suppresses tumor growth by recruiting M1 macrophages, while tumor cells produce homotrimeric Col I (α1/α1/α1, 2–3% of total Col I) to promote immune evasion via CXCL5 secretion and CD8+ T cell reduction. …”
Get full text

Efficient Region-Wise Packing of Stereoscopic ERP Videos Based on Information Loss Minimization by Hossein Pejman, Stephane Coulombe, Carlos Vazquez, Ahmad Vakili

“…To address these challenges, sub-sampled versions of the left and right views are usually used to form the spatial FC format, leading to a loss of visual quality. …”
Get full text

Association between landscape transformation and the Chagas disease vector dynamics in a rural area with continuous surveillance and control by Leonardo Sandon, Diego Weinberg, Manuel O. Espinosa, Marcelo C. Abril, Roberto Chuit, Ximena Porcasi, Maria V. Periago

“…These findings underscore the importance of integrating environmental and spatial factors into CD control programs to achieve certification of transmission-free areas and reduce the burden of CD in endemic regions. …”
Get full text

The operational medium-range deterministic weather forecasting can be extended beyond a 10-day lead time by Kang Chen, Tao Han, Fenghua Ling, Junchao Gong, Lei Bai, Xinyu Wang, Jing-Jia Luo, Ben Fei, Wenlong Zhang, Xi Chen, Leiming Ma, Tianning Zhang, Rui Su, Yuanzheng Ci, Bin Li, Xiaokang Yang, Wanli Ouyang

“…Abstract Given the complexity of the atmospheric system, current numerical weather prediction models struggle with accurate forecasts. …”
Get full text

Hyperspectral Reconstruction Method Based on Global Gradient Information and Local Low-Rank Priors by Chipeng Cao, Jie Li, Pan Wang, Weiqiang Jin, Runrun Zou, Chun Qi

“…First, to improve the prior model’s efficiency in utilizing information of different frequencies, we design a gradient sampling strategy and training framework based on decision trees, leveraging changes in the loss function gradient information to enhance the model’s predictive capability for data of varying frequencies. …”
Get full text

Hybrid neural network method for damage localization in structural health monitoring by Fatahlla Moreh, Yusuf Hasan, Zarghaam Haider Rizvi, Sven Tomforde, Frank Wuttke

“…Our proposed model incorporates a single RNN layer, complemented by essential supporting layers, which contributes to a reduction in complexity and a decrease in the number of parameters. …”
Get full text

Evaluation of Near‐Surface Specific Humidity and Air Temperature From Atmospheric Infrared Sounder (AIRS) Over Oceans by Weikang Qian, Yixin Wen, Shang Gao, Zhi Li, Jesse Kisembe, Haotong Jing

“…The Atmospheric Infrared Sounder (AIRS) provides global estimates of near‐surface AT and SH estimates, with continuous improvements in accuracy leading to significant reductions in error rates. However, existing studies have not systematically validated AIRS near‐surface products in both temporal and spatial perspectives, especially over oceans. …”
Get full text