Higher spatial resolution is not always better: evaluating satellite-sensed sea surface temperature products for a west Pacific coral reef system by Liam Lachs, Simon Donner, Alasdair J. Edwards, Yimnang Golbuu, James Guest

“…Abstract As marine heatwaves and mass coral bleaching events rise in frequency and severity, there is an increasing need for high-resolution satellite products that accurately predict reef thermal environments over large spatio-temporal scales. …”
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Application of the Surface Complexation Model to the Biosorption of Cu(II) and Pb(II) Ions onto Biomass by Ruixia Liu, Yonghui Song, Hongxiao Tang

“…These results suggested that the surface complexation model yielded the accurate prediction for the biosorption behaviour of Cu(II) and Pb(II) ions on the bacterial biomass and the affinity of P. pseudoalcaligenes biomass for the adsorption of Cu(II) and Pb(II) ions was high enough to remove the metal ions from water.…”
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Field Observations during the Eleventh Microwave Water and Energy Balance Experiment (MicroWEX-11): from April 25, 2012, through December 6, 2012 by Tara Bongiovanni, Pang-Wei Liu, Karthik Nagarajan, Daniel Preston, Patrick Rush, Tim H.M. van Emmerik, Robert Terwilleger, Alejandro Monsivais-Huertero, Jasmeet Judge, Susan Steele-Dunne, Roger De Roo, Ruzbeh Akbar, Ella Baar, Max Wallace, Anthony England

“… This new report from UF/IFAS researchers provides another set of observation data that can be used to develop better models for accurate prediction of weather and near-term climate. It describes the observations conducted during the MicroWEX-11, a season-long experiment incorporating active and passive microwave observations for bare soil, elephant grass, and sweet corn using a variety of sensors to understand land–atmosphere interactions and their effect on observed microwave signatures. …”
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Soft computing paradigm for climate change adaptation and mitigation in Iran, Pakistan, and Turkey: A systematic review by Muhammad Talha, A. Pouyan Nejadhashemi, Kieron Moller

“…Regarding thematic focus, about 33.3 % of the articles addressed water resource management, 22.2 % focused on climate prediction, 11.1 % on land and agriculture, 9 % on ecosystem modeling, and 24.2 % on natural disaster preparedness and response. …”
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Distinct vaginal microbiome and metabolome profiles in women with preterm delivery following cervical cerclage by Jun Zhang, Li Li, Mengjun Zhang, Jiaoning Fang, Zhimin Xu, Yijing Zheng, Zhi Lin, Mian Pan

“…These results elaborated that distinct vaginal microbiome and metabolome profiles in women with preterm delivery following cervical cerclage provide valuable information for establishing the prediction models for PTB.…”
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Deep learning for enhanced risk management: a novel approach to analyzing financial reports by Xiangting Shi, Yakang Zhang, Manning Yu, Lihao Zhang

“…This research brings out the Hybrid Financial Risk Predictor (HFRP) model, using the convolutional neural networks (CNN) and long-short term memory (LSTM) networks to improve financial risk prediction. A combination of quantitative and qualitative ratings derived from the analysis of financial texts results in high accuracy and stability compared with the HFRP model. …”
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A probabilistic fatigue crack growth life approach to the definition of inspection intervals for railway axles by C. Mallor, S. Calvo, J.L. Nuñez, R. Rodriguez-Barrachina, A. Landaberea

“…Due to the uncertainties involved in the fatigue process, inspections must be devised not only considering the uncertainties in the performance of the inspection technique, but also based on a probabilistic lifespan prediction. From this premise, this paper presents a procedure for determination of inspection intervals that uses a conservative fatigue crack growth life estimation based on the lifespan probability distribution. …”
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Groundbreaking Technologies and the Biocontrol of Fungal Vascular Plant Pathogens by Carmen Gómez-Lama Cabanás, Jesús Mercado-Blanco

“…Furthermore, artificial intelligence and machine learning can revolutionize crop protection through early disease detection, the prediction of disease outbreaks, and precision in BCA treatments. …”
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Study on the Shock Wave Characteristics of Spherical and Cylindrical Explosives in Near-field Underwater Explosion by J. Yu, X. P. Zhang, J. Wang, Y. Hao, H. B. Mao

“…Therefore, precise prediction of shockwave loading characteristics for various charge shapes during underwater explosions is critical. …”
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Application of Cancer Genomics to Solve Unmet Clinical Needs by Se-Hoon Lee, Sung Hoon Sim, Ji-Yeon Kim, SooJin Cha, Ahnah Song

“…In this review, we present one imaginary case of a cancer patient, with which we can think about unmet clinical needs to solve with cancer genomics in the diagnosis, prediction of prognosis, monitoring the status of cancer, and personalized treatment decision.…”
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Avaliação Dos Aspectos Ergonômicos Nos Postos De Trabalho De Um Curtume by Estefânia Paula da Silva, Kamyla Espíndola Gibram Reis, Rafaela Leite das Chagas, Wemerton Luís Evangelista

“…Pautou-se do uso do método OWAS para classificar as posturas, como também do programa 3D Static Strength Prediction Program (3DSSPP) desenvolvido pela Universidade de Michigan para desenvolver um modelo tridimensional da postura mais crítica adotada pelos operadores dos postos de trabalho estudados e assim verificar o risco de lesões para o trabalhador. …”
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A prospective, multicenter analysis of the integrated 31-gene expression profile test for sentinel lymph node biopsy (i31-GEP for SLNB) test demonstrates reduced number of unnecess... by J. Michael Guenther, Andrew Ward, Brian J. Martin, Mark Cripe, Rohit Sharma, Stanley P. Leong, Joseph I. Clark, John Hamner, Timothy Beard

“…Methods The i31-GEP SLNB risk prediction accuracy was assessed in patients with T1-T2 tumors enrolled in the prospective, multicenter DECIDE study (n = 322). …”
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Artificial Neural Network Modeling of Abrasion Loss and Surface Roughness of Crab Carapace Impregnated Coir Vinyl Ester Composites by S. Rajamuneeswaran, S. Jayabal, N. Nagaprasad, G. Veerappan, Leta Tesfaye Jule, Ramaswamy Krishnaraj

“…The development of filler-impregnated fiber-polymer composites in recent years necessitated the evaluation and prediction of tribological behaviors in fiber reinforced composites. …”
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Application of Multiattention Mechanism in Power System Branch Parameter Identification by Zhiwei Wang, Liguo Weng, Min Lu, Jun Liu, Lingling Pan

“…Finally, the fitting and prediction of each branch feature are completed through the decoding layer. …”
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Cross Teaching-Enhanced Multispectral Remote Sensing Object Detection With Transformer by Jiahe Zhu, Huan Zhang, Simin Li, Shengjin Wang, Hongbing Ma

“…Then, we propose a simple yet effective oriented object detection scheme based on angle prediction. Finally, we introduce a novel cross-teaching method between single-spectral and multispectral models, which alleviates the spectral interference issue caused by inconsistent target visibility. …”
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Temporal dynamics of neonatal hypoxic–ischemic encephalopathy injuries on magnetic resonance imaging by Holly Flyger, Samantha J. Holdsworth, Alistair J. Gunn, Laura Bennet, Hamid Abbasi

“…This suggests that in the future it will be important to explore a wider range of times after hypoxic–ischemic encephalopathy to fully understand the optimal timing for predicting long-term outcomes.…”
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Measurements and Simulations of the Geomagnetically Induced Currents in Low‐Latitude Power Networks During Geomagnetic Storms by J. J. Zhang, Y. Q. Yu, C. Wang, D. Du, D. Wei, L. G. Liu

“…The results indicate that the physical‐based model is more applicable than the persistence model in the prediction of GICs at low‐latitude power grids during storms.…”
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Uncertainty of Flood Forecasting Based on Radar Rainfall Data Assimilation by Xinchi Chen, Liping Zhang, Christopher James Gippel, Lijie Shan, Shaodan Chen, Wei Yang

“…The corresponding performance in flood hydrograph prediction was also better using the statistical weight integration and variational methods compared to the others. …”
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Orbital-Radar v1.0.0: a tool to transform suborbital radar observations to synthetic EarthCARE cloud radar data by L. Pfitzenmaier, P. Kollias, P. Kollias, N. Risse, I. Schirmacher, B. Puigdomenech Treserras, K. Lamer

“…Finally, Orbital-Radar allows for evaluating kilometre-scale numerical weather prediction models with EarthCARE CPR observations. So, Orbital-Radar can generate calibration and validation (Cal/Val) data sets already pre-launch. …”
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Learning with semantic ambiguity for unbiased scene graph generation by Shanjin Zhong, Yang Cao, Qiaosen Chen, Jie Gong

“…Experimental results show that our method outperforms state-of-the-art approaches on multiple scene graph generation tasks, demonstrating significant improvements in both relation prediction accuracy and the handling of imbalanced data distributions.…”
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