LingoTrip: Spatiotemporal context prompt driven large language model for individual trip prediction by Zhenlin Qin, Pengfei Zhang, Leizhen Wang, Zhenliang Ma

“…It is promising to model the individual mobility prediction problem as a language model and use pretrained LLMs to predict the individual next trip information (e.g., time and location) for personalized travel recommendations. …”
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Evaluation of Natural Ventilation Performance in Providing Local Thermal Comfort and Indoor Air Quality in an Office Room by N. Moallemi Khiavi, A. Minaei, M. Rouhi

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Machine Learning Based on a Multiparametric and Multiregional Radiomics Signature Predicts Radiotherapeutic Response in Patients with Glioblastoma by Zi-Qi Pan, Shu-Jun Zhang, Xiang-Lian Wang, Yu-Xin Jiao, Jian-Jian Qiu

“…Although radiotherapy has become one of the main treatment methods for cancer, there is no noninvasive method to predict the radiotherapeutic response of individual glioblastoma (GBM) patients before surgery. …”
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Application of the Denitrification-Decomposition Model to Predict Carbon Dioxide Emissions under Alternative Straw Retention Methods by Can Chen, Deli Chen, Jianjun Pan, Shu Kee Lam

“…But it remains a big challenge for models to effectively predict CO2 emission fluxes under different straw retention methods. …”
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A Nomogram for Predicting Overall Survival in Primary Central Nervous System Lymphoma: A Retrospective Study by Ling Y, Miao X, Zhou X, Ma J, Lin Z, Li Q, Zhang M, Ma Y, Chen B

“…The novel prognostic model also provided superior risk stratification for patients with PCNSL compared with existing scoring systems.Conclusion: This study presents a novel prognostic model for predicting the OS of patients with newly diagnosed PCNSL. …”
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Sperm DNA fragmentation index: limited effectiveness on predicting embryo quality in assisted reproduction technology treatments by Huan Jiang, Xiaolu Xia, Ying Luo, Haiyan Pan, Shihao Qu, Jianying Xu

“…Abstract Purpose Prior sperm DNA fragmentation index (DFI) thresholds for diagnosing male infertility and predicting assisted reproduction technology (ART) outcomes fluctuated between 15 and 30%, with no agreed standard. …”
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Development of a nomogram for predicting pancreatic portal hypertension in patients with acute pancreatitis: a retrospective study by Yong Lv, Hui Luo, Yingjie Zhang, Xiangping Wang, Yanglin Pan, Yunling Li, Qiaoyu Su, Xianchen Zhan, Linhui Zhang, Xiaoyu Kang, Shuhui Liang, Gui Ren

“…This study aims to develop and validate a nomogram to predict PPH in patients with AP.Methods Consecutive patients with AP from 2015 to 2023 were retrospectively included in the study. …”
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Immune infiltrate populations within distinct tumor immune microenvironments predictive of immune checkpoint treatment outcome by Brian Z Ring, Catherine T. Cronister, Huijun Z. Ring, Douglas T. Ross, Robert S. Seitz

“…We have previously validated signatures predictive of checkpoint inhibitor efficacy which distinguish immunomodulatory, mesenchymal stem-like, and mesenchymal phenotypes. …”
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The predictive value of radiomics and deep learning for synchronous distant metastasis in clear cell renal cell carcinoma by Wan-Bin He, Chuan Zhou, Zhi-Jun Yang, Yun-Feng Zhang, Wen-Bo Zhang, Han He, Jia Wang, Feng-Hai Zhou

“…Abstract Objective The objective of this research was to devise and authenticate a predictive model that employs CT radiomics and deep learning methodologies for the accurate prediction of synchronous distant metastasis (SDM) in clear cell renal cell carcinoma (ccRCC). …”
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Life prediction analysis of patrol vessel made from FRP with variations of wave height and wave direction by Octaviano Noel, Zubaydi Achmad, Ismail Abdi, Ariesta Rizky Chandra, Pratikno Herman, Rahmana Putra Nicky, Triputrastyo Murwatono Totok

Subjects: “…life prediction…”
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Optimization and prediction of paver block properties with ceramic waste as fine aggregate using response surface methodology by G. Uday Kiran, Nakkeeran G., Dipankar Roy, George Uwadiegwu Alaneme

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NuFold: end-to-end approach for RNA tertiary structure prediction with flexible nucleobase center representation by Yuki Kagaya, Zicong Zhang, Nabil Ibtehaz, Xiao Wang, Tsukasa Nakamura, Pranav Deep Punuru, Daisuke Kihara

“…NuFold is also capable of predicting multimer complex structures of RNA by linking the input sequences.…”
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A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning by Bin Hu, Yaohui Han, Wenhui Zhang, Qingyang Zhang, Wen Gu, Jun Bi, Bi Chen, Lishun Xiao

“…Abstract Background The prediction of coronavirus disease in 2019 (COVID-19) in broader regions has been widely researched, but for specific areas such as urban areas the predictive models were rarely studied. …”
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Could Serum TSH Levels Predict Malignancy in Euthyroid Patients Affected by Thyroid Nodules with Indeterminate Cytology? by Carlo Cappelli, Ilenia Pirola, Elena Gandossi, Mario Rotondi, Davide Lombardi, Claudio Casella, Fiorella Marini, Maura Saullo, Barbara Agosti, Elena Di Lodovico, Luca Chiovato, Alberto Ferlin, Maurizio Castellano

“…ROC curve analysis identified that a serum TSH level of ≥2.7 mIU/L predicted thyroid malignancy with a sensitivity of 61% and a specificity of 65%. …”
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Comparative Analysis of Machine Learning Models for Predicting Interfacial Bond Strength of Fiber-Reinforced Polymer-Concrete by Miljan Kovačević, Marijana Hadzima-Nyarko, Predrag Petronijević, Tatijana Vasiljević, Miroslav Radomirović

“…The evaluation was based on their predictive accuracy. The optimal model identified was the GPR ARD Exponential model, which achieved a mean absolute error (MAE) of 1.8953 MPa and a correlation coefficient (R) of 0.9658. …”
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Computational Prediction of Electronic and Photovoltaic Properties of Anthracene-Based Organic Dyes for Dye-Sensitized Solar Cells by Hongbo Wang, Qian Liu, Dejiang Liu, Runzhou Su, Jinglin Liu, Yuanzuo Li

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Predicting Postoperative Re-Tear of Arthroscopic Rotator Cuff Repair Using Artificial Intelligence on Imbalanced Data by Zhibin Zhang, Zhewei Zhang, Zhaoxiang Peng, Yihong Dong

“…Retears after rotator cuff surgery are a common complication. Accurate prediction of retear is essential to minimise the risk of retear. …”
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Prediction of cold region dew volume based on an ECOA-BiTCN-BiLSTM hybrid model by Yi Zhang, Pengtao Liu, Yingying Xu, Meng Zhang

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Experimental Investigation and Prediction of Compressive Strength of Ultra-High Performance Concrete Containing Supplementary Cementitious Materials by Jisong Zhang, Yinghua Zhao, Haijiang Li

“…Furthermore, to minimise the experimental workload of future studies, a prediction model is developed to predict the compressive strength of the UHPC using artificial neural networks (ANNs). …”
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Deep learning based decision-making and outcome prediction for adolescent idiopathic scoliosis patients with posterior surgery by Kai Chen, Xiao Zhai, Ziqiang Chen, Haojue Wang, Mingyuan Yang, Changwei Yang, Yushu Bai, Ming Li

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