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. …”
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Application of deep learning for coherent pixel selection in time series InSAR for urban area and transport infrastructure monitoring by S. Azadnejad, A. Kandiri, A. Hrysiewicz, F. O’Loughlin, E.P. Holohan, S. Dev, S. Donohue

“…Predictions of temporal coherence from MLP and LSTM models are similar, but the MLP model training time is much faster. …”
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Skin-Inspired Magnetoresistive Tactile Sensor for Force Characterization in Distributed Areas by Francisco Mêda, Fabian Näf, Tiago P. Fernandes, Alexandre Bernardino, Lorenzo Jamone, Gonçalo Tavares, Susana Cardoso

“…The spatial sensitivity model was trained on 171,008 points and achieved a mean absolute error of 0.26 mm when predicting the location of applied force within a sensitive area of 25.5 mm × 25.5 mm using sensors spaced 4.5 mm apart. …”
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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. …”
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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.…”
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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. …”
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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. …”
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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. …”
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Enhancing Aquifer Characterization With Position‐Encoded Hyperparameters: A Novel ES‐SIFG Approach by Meng Sun, Qiankun Luo, Yun Yang, Tongchao Nan, Jiangjiang Zhang, Lei Ma, Yu Li, Haichun Ma, Ming Lei, Yaping Deng, Jiazhong Qian

“…Abstract To accurately predict groundwater flow and solute transport, it is essential to precisely characterize the highly heterogeneous aquifer conditions. …”
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Damage evolution and failure modes of coal-concrete composites with varying height ratios under cyclic loading by Renbo Gao, Fei Wu, Cunbao Li, Chunfeng Ye, Qingchuan He, Heping Xie

“…To elucidate these differences, interfacial effects were incorporated into a modified twin-shear unified strength theory. The refined model accurately predicts the internal strength distribution and failure characteristics of the composite structures. …”
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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. …”
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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. …”
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Three-Dimensional Spatio-Temporal Slim Weighted Generative Adversarial Imputation Network: Spatio-Temporal Silm Weighted Generative Adversarial Imputation Net to Repair Missing Oce... by Yiwan Yue, Juan Li, Yu Zhang, Meiqi Ji, Jingyao Zhang, Rui Ma

“…Three-dimensional ocean observation is the foundation for accurately predicting ocean information. Although ocean observation sensor arrays can obtain internal data, their deployment is difficult, costly, and prone to component failures and environmental noise, resulting in discontinuous data. …”
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SODRS: Semisupervised Learning for One-Stage Small Object Detection in Remote Sensing Images by Mingquan Liu, Lei Kuang, Chengjun Li, Jing Tian, Zifang Chen, Xuewu Han

“…Finally, the conditional random fields-based label refinement is applied to postprocess the predicted labels, improving spatial relationships and dependencies among objects. …”
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The MR neuroimaging protocol for the Accelerating Medicines Partnership® Schizophrenia Program by Michael P. Harms, Kang-Ik K. Cho, Alan Anticevic, Nicolas R. Bolo, Sylvain Bouix, Dylan Campbell, Tyrone D. Cannon, Guillermo Cecchi, Mathias Goncalves, Anastasia Haidar, Dylan E. Hughes, Igor Izyurov, Omar John, Tina Kapur, Nicholas Kim, Elana Kotler, Marek Kubicki, Joshua M. Kuperman, Kristen Laulette, Ulrich Lindberg, Christopher Markiewicz, Lipeng Ning, Russell A. Poldrack, Yogesh Rathi, Paul A. Romo, Zailyn Tamayo, Cassandra Wannan, Alana Wickham, Walid Yassin, Juan Helen Zhou, Jean Addington, Luis Alameda, Celso Arango, Nicholas J. K. Breitborde, Matthew R. Broome, Kristin S. Cadenhead, Monica E. Calkins, Eric Yu Hai Chen, Jimmy Choi, Philippe Conus, Cheryl M. Corcoran, Barbara A. Cornblatt, Covadonga M. Diaz-Caneja, Lauren M. Ellman, Paolo Fusar-Poli, Pablo A. Gaspar, Carla Gerber, Louise Birkedal Glenthøj, Leslie E. Horton, Christy Lai Ming Hui, Joseph Kambeitz, Lana Kambeitz-Ilankovic, Matcheri S. Keshavan, Sung-Wan Kim, Nikolaos Koutsouleris, Jun Soo Kwon, Kerstin Langbein, Daniel Mamah, Daniel H. Mathalon, Vijay A. Mittal, Merete Nordentoft, Godfrey D. Pearlson, Jesus Perez, Diana O. Perkins, Albert R. Powers, Jack Rogers, Fred W. Sabb, Jason Schiffman, Jai L. Shah, Steven M. Silverstein, Stefan Smesny, William S. Stone, Gregory P. Strauss, Judy L. Thompson, Rachel Upthegrove, Swapna K. Verma, Jijun Wang, Daniel H. Wolf, Rene S. Kahn, John M. Kane, Patrick D. McGorry, Barnaby Nelson, Scott W. Woods, Martha E. Shenton, Stephen J. Wood, Carrie E. Bearden, Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ), Ofer Pasternak

“…We also present preliminary variance component analyses of several measures, such as signal- and contrast-to-noise ratio (SNR/CNR) and spatial smoothness, to provide quantitative data on the relative percentages of participant, site, and platform (i.e., scanner model) variance. …”
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The impact of information disclosure and smart technology integration on e-retailing performance: A production delivery policy framework by Muhammad Tayyab, Hira Tahir, Muhammad Salman Habib

“…This research presents a sustainable multi-item integrated model for manufacturer–retailer collaboration in e-retailing by incorporating multiple delivery policies and investments in technology aimed at information disclosure and environmental footprint reduction. …”
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AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

“…Attention weights are then generated to simultaneously fuse spatial and channel information, significantly improving the model's accuracy in identifying crack regions in levees, particularly under complex lighting and background interference. …”
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Ecological zone construction and multi-scenario simulation in Western China combining landscape ecological risk and ecosystem service value by Zihao Wang, Bing Wang, Yufei Zhang, Rula Sa, Qiuliang Zhang, Shuai Hao

“…By extending temporal scales using the PLUS model, it predicted the spatial patterns of ecological zones under four scenarios, achieving dynamic ecological zoning. …”
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Occupancy of roe deer, water deer, and wild boar in wind farm‐integrated forest ecosystems: A case study in Korea by Seong‐Hyeon Kim, Thakur Dhakal, Ki Hwan Cho, Tae‐Su Kim, Seung‐Hyeon Woo, Jun‐Young Kim, Do‐Hun Lee, Gab‐Sue Jang

“…This study explored the impacts of anthropogenic disturbances, particularly wind farms, on South Korean Forest ecosystems using spatial occupancy models and camera trap survey data. …”
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The roles of surface processes in porphyry copper deposit preservation by B. Hadler Boggiani, T. Salles, C. Mallard, N. Atwood

“…To highlight the influence of paleo-reconstructions on exhumation rate estimates, we analyze simulated erosion rates across the Andean region using two distinct paleo-climate models and find significant spatial and temporal differences across the Central Andes. …”
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