Spot Urine Estimations Are Equivalent to 24-Hour Urine Assessments of Urine Protein Excretion for Predicting Clinical Outcomes by Boon Wee Teo, Ping Tyug Loh, Weng Kin Wong, Peh Joo Ho, Kwok Pui Choi, Qi Chun Toh, Hui Xu, Sharon Saw, Titus Lau, Sunil Sethi, Evan J. C. Lee

“…The linear regression models showed that 24 hr urine protein excretion was most predictive of GFR decline but all other methods were similar. …”
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Bow Flare Water Entry Impact Prediction and Simulation Based on Moving Particle Semi-Implicit Turbulence Method by Fenglei Han, Jingzheng Yao, Chunhui Wang, Haitao Zhu

“…The presented numerical method is validated by comparing its numerical prediction with experimental data and other numerical results obtained from the Boundary Element Method (BEM). …”
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Key CT markers for predicting haemorrhagic transformation after ischaemic stroke: a prospective cohort study in China by Ming Liu, Qian Wu, Yanan Wang, Junfeng Liu, Chenchen Wei

“…Objectives Limited studies have systematically addressed the CT markers of predicting haemorrhagic transformation (HT). We aimed to (1) investigate the predictive ability of the imaging factors on multimodal CT for HT and (2) identify the key CT markers that can accurately predict HT while maintaining easy and rapid assessment in the early stage of stroke.Design and setting This was a prospective cohort study conducted in a tertiary hospital in Southwest China.Participants Patients with ischaemic stroke admitted within 24 hours after onset were included.Outcome measures The primary outcome was measured as the overall HT. …”
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Application of a data-driven XGBoost model for the prediction of COVID-19 in the USA: a time-series study by Wei Wu, Zheng-gang Fang, Shu-qin Yang, Cai-xia Lv, Shu-yi An

“…Objective The COVID-19 outbreak was first reported in Wuhan, China, and has been acknowledged as a pandemic due to its rapid spread worldwide. Predicting the trend of COVID-19 is of great significance for its prevention. …”
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Prediction of Individual Social-Demographic Role Based on Travel Behavior Variability Using Long-Term GPS Data by Lei Zhu, Jeffrey Gonder, Lei Lin

“…The sensitivity analysis shows that as the number of tours thresholds increases, the variability of most travel behavior features converges, while the prediction performance may not change for the fixed test data.…”
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Accelerating materials property prediction via a hybrid Transformer Graph framework that leverages four body interactions by Mohammad Madani, Valentina Lacivita, Yongwoo Shin, Anna Tarakanova

“…Abstract Machine learning has advanced the rapid prediction of inorganic materials properties, yet data scarcity for specific properties and capturing thermodynamic stability remains challenging. …”
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Machine Learning-Based predictive model for adolescent metabolic syndrome: Utilizing data from NHANES 2007–2016 by Yu-zhen Zhang, Hai-ying Wu, Run-wei Ma, Bo Feng, Rui Yang, Xiao-gang Chen, Min-xiao Li, Li-ming Cheng

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Predicting Optimum Dilution Factors for BOD Sampling and Desired Dissolved Oxygen for Controlling Organic Contamination in Various Wastewaters by Hisham A. Maddah

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18F-FDG-PET/CT can be used to predict distant metastasis in hypopharyngeal squamous cell carcinoma by Shinsuke Suzuki, Satoshi Toyoma, Tomoe Abe, Tentaro Endo, Teppei Kouga, Yohei Kaswasaki, Takechiyo Yamada

“…The ROC curve analysis determined that SUVmax was predictive of distant metastasis and identified a SUVmax of 13.9 as the best potential cutoff value. …”
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Passenger Volume Prediction by a Combined Input-Output and Distributed Lag Model and Data Analytics of Industrial Investment by Fan Yang, Zhao-guo Huang, Hua-zhi Yuan, Jian-jun Wang, Wei-jia Li, Sai Wang

“…In order to sketch the transport infrastructure construction in an economy or a region, the government has to predict the passenger volume, under the local policy of industrial investment. …”
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A numerical study on predicting bond-slip relationship of reinforced concrete using surface based cohesive behavior by Minhajul Bari Prince, Debasish Sen

“…The finite element analysis showed that the proposed FE modeling strategy performed well in predicting bond-slip behaviour in elastic regions. Additionally, maximum bond stresses were predicted satisfactorily, except for the splitting failure pattern, using the proposed FE modelling strategy.…”
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Value of original and modified pathological scoring systems for prognostic prediction in paraffin-embedded donor kidney core biopsy by Jinghong Tan, Huanxi Zhang, Longshan Liu, Jun Li, Qian Fu, Yan Li, Chenglin Wu, Ronghai Deng, Jiali Wang, Bowen Xu, Wenfang Chen, Shicong Yang, Changxi Wang

“…Total-score-based models had similar predictive capacities for eGFR in all scoring systems, except MAPI and Ugarte. …”
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A Novel Mechanism-Equivalence-Based Tweedie Exponential Dispersion Process for Adaptive Degradation Modeling and Life Prediction by Jiayue Wu, Yujie Liu, Han Wang, Xiaobing Ma, Yu Zhao

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Optimal Learning Behavior Prediction System Based on Cognitive Style Using Adaptive Optimization-Based Neural Network by Ghada Aldabbagh, Daniyal M. Alghazzawi, Syed Hamid Hasan, Mohammed Alhaddad, Areej Malibari, Li Cheng

“…Widespread development of system software, the process of learning, and the excellence in profession of teaching are the formidable challenges faced by the learning behavior prediction system. The learning styles of teachers have different kinds of content designs to enhance their learning. …”
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Spatial profiling of endoplasmic reticulum stress markers in tumor associated cells predicts patient outcomes in pancreatic cancer by Georgia Porter, Murray D. Norris, Minoti Apte, Angelica M. Merlot

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The Change of Systemic Immune-Inflammation Index Independently Predicts Survival of Colorectal Cancer Patients after Curative Resection by Qingqing Chen, Haohao Wu, Xinwei Guo, Ke Gu, Wenjie Wang, Xiaochen Chen, Shengjun Ji, Hui Yang, Jiahao Zhu

“…The systemic immune-inflammation index (SII) has an important role in predicting survival in some solid tumors. However, little information is available concerning the change of the SII (∆SII) in colorectal cancer (CRC) after curative resection. …”
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Land use and land cover spatiotemporal dynamic pattern and predicting changes using integrated CA-Markov model by A. Azizi, B. Malakmohamadi, H. Jafari

“…Analyzing the process of land use and cover changes during long periods of time and predicting the future changes is highly important and useful for the land use managers. …”
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Enhancing the Predictive Value of SII and NLR in LAA Stroke: Addressing Unexplored Limitations and Future Directions [Response to Letter] by He Z, Liu K

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Hourly Ozone and PM2.5 Prediction Using Meteorological Data – Alternatives for Cities with Limited Pollutant Information by Felipe Cifuentes, Angel Gálvez, Carlos M. González, Mauricio Orozco-Alzate, Beatriz H. Aristizábal

“…This can serve to predict O3 for cities with real time meteorological data but no pollutant sensing capability. …”
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Chloride Diffusivity and Life Prediction of Cracked RC Beams Exposed to Different Wet-Dry Ratios and Exposure Duration by Jieqiong Wu, Bo Diao, Yinghua Ye, Xiaoning Zheng

“…The predicted residual service lives were corresponding well with experimental results and they decreased as crack width increased.…”
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