MambaLLM: Integrating Macro-Index and Micro-Stock Data for Enhanced Stock Price Prediction by Jin Yan, Yuling Huang

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Monitoring and prediction spatiotemporal vegetation changes using NDVI index and CA-Markov model (case study: Kermanshah city) by Shadman Darvishi, Karim Solaimani

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Critical depth prediction based on in-situ stress and gas content model of deep coalbed methane in Liupanshui Coalfield in China by Fang Lv, Ruidong Yang, Wei Gao, Lingyun Zhao, Yaohui Liu, Zhihua Yan, Fulun Shi, Binxin Zhang, Jingui Tang, Tongsheng Yi

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Machine learning-driven model for predicting knowledge, attitudes, and practices regarding medication safety among residents in Hubei, China by Chao Mei, Chao Mei, San-Lan Wu, San-Lan Wu, Tao Zhou, Tao Zhou, Yong-Ning Lv, Yong-Ning Lv, Yu Zhang, Yu Zhang, Chen Shi, Chen Shi, Wei-Jing Gong, Wei-Jing Gong

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Identification of key programmed cell death genes for predicting prognosis and treatment sensitivity in colorectal cancer by Jian-ying Ma, Jian-ying Ma, Yi-xian Wang, Zhen-yu Zhao, Zhen-yu Xiong, Zi-long Zhang, Jun Cai, Jia-wei Guo

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Urban Air Quality Shifts in China: Application of Additive Model and Transfer Learning to Major Cities by Yuchen Ji, Xiaonan Zhang, Yueqian Cao

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DIGITAL TRANSFORMATION OF BUSINESS MANAGEMENT: INNOVATIVE MODELS, FORECAST SCENARIOS AND CURRENT CHALLENGES OF ECONOMY MODERNIZATION by I.V. Burtnyak, T.V. Khaludilo

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Happiness in the early childhood education workforce: An explanatory sequential mixed methods study by Julia Pangalangan, Emily Mauirro, Charlotte Farewell, Jini Puma

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Professional commitment and turnover intentions of elementary school teachers during educational crisis by Moran Amir, Orly Lipka, Orly Lipka, Miriam Sarid

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Construction of a nomogram for predicting serum vitamin D deficiency in children/adolescents with new-onset type 1 diabetes: a single-center study in China by Xin Yang, Xin Yang, Hui Jiang, Hui Jiang, Min Liao, Min Liao, Meng Lin, Meng Lin, Jin Wu, Jin Wu

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Flight Trajectory Prediction Based on Automatic Dependent Surveillance-Broadcast Data Fusion with Interacting Multiple Model and Informer Framework by Fan Li, Xuezhi Xu, Rihan Wang, Mingyuan Ma, Zijing Dong

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Predictors and clinical implications of post-stroke cognitive impairment: a retrospective study by Huimin Zhou, Yan Han, Dan Xie, Kai Zheng, Zhenhe Zhou, Haohao Zhu, Yingying Ji

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Ecological and Ergonomic Aspects of Operating Hybrid Sunflower Cultivation Technologies by M. A. Kerimov, V. V. Vetushko

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Bridging the Gap: A Review of Machine Learning in Water Quality Control by Herlina Abdul Rahim, Nur Athirah Syafiqah Noramli, Indrabayu

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Analysis and Prediction of PM2.5 Pollution in Madrid: The Use of Prophet–Long Short-Term Memory Hybrid Models by Jesús Cáceres-Tello, José Javier Galán-Hernández

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Investigating the Structural Model of Predicting Sleep Disorders Through Symptoms of Rumination with the Mediating Role of Social Support in Dialysis Patients by Farhad Ghorbani, Amin Rafiepoor, Niloufar Tahmouresi, Reza, Hosseinpour

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The TRIPOD Statement: how to present the results of diagnostic and prognostic studies by I. P. Kolos, D. A. Anichkov, S. A. Boytsov

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Enhancing landslide disaster prediction by evaluating non landslide area sampling in machine learning models for Spiti Valley India by Devraj Dhakal, Kanwarpreet Singh, Kennedy C. Onyelowe, Steven Alejandro Salazar Cazco, Abhishek Sharma, Nassir Alarifi, Fakhrul Islam, Randeep, Krishna Prakash Arunachalam, Youssef M. Youssef

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NitroNet – a machine learning model for the prediction of tropospheric NO₂ profiles from TROPOMI observations by L. Kuhn, L. Kuhn, S. Beirle, S. Osipov, S. Osipov, A. Pozzer, T. Wagner, T. Wagner

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Development and validation of interpretable machine learning models for predicting AKI risk in patients treated with PD-1/PD-L1: a retrospective study by Wentong Liu, Kaiyue Ji, Qianwen Tang, Weiqi Xia, Wei Zhang, Lina Shao, Jiana Shi, Yukun Li, Ping Huang, Xiaolan Ye

“…Previous research has been constrained by significant limitations, underscoring the necessity for AKI risk prediction models for patients treated with PD-1/PD-L1 inhibitors. …”
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