Understanding the impact of covariates for trachoma prevalence prediction using geostatistical methods by Misaki Sasanami, Ibrahim Almou, Adam Nouhou Diori, Ana Bakhtiari, Nassirou Beidou, Donal Bisanzio, Sarah Boyd, Clara R. Burgert-Brucker, Abdou Amza, Katherine Gass, Boubacar Kadri, Fikreab Kebede, Michael P. Masika, Nicholas P. Olobio, Fikre Seife, Abdoul Salam Youssoufou Souley, Amsayaw Tefera, Amir B. Kello, Anthony W. Solomon, Emma M. Harding-Esch, Emanuele Giorgi

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Autonomous Detection of Mineral Phases in a Rock Sample Using a Space-prototype LIMS Instrument and Unsupervised Machine Learning by Salome Gruchola, Peter Keresztes Schmidt, Marek Tulej, Andreas Riedo, Klaus Mezger, Peter Wurz

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Nexus between foreign remittances and poverty alleviation: Empirical investigation of Tajikistan from Central Asia by Farrukh Nawaz, Umar Kayani, Ahmet Faruk Aysan

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Identification of Typical Time-Series House Consumption Profiles Based on Unsupervised Learning Techniques by Marcelo Forte, Cindy P. Guzman, Lucas Pereira, Hugo Morais

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Leveraging Feature Extraction to Perform Time-Efficient Selection for Machine Learning Applications by Duarte Coelho, Ana Madureira, Ivo Pereira, Ramiro Gonçalves, Susana Nicola, Inês César, Daniel Alves de Oliveira

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Ultralogics and probability models by Robert A. Herrmann

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Predictive immunonutritional biomarkers for the severity and recovery of sudden sensorineural hearing loss: a prospective clinical study by Xu Zhang, Weixun Guo, Bing Guan, Chunping Yang

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Charm and the standard model by Sheldon Lee Glashow

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Cell death-related signature genes: risk-predictive biomarkers and potential therapeutic targets in severe sepsis by Yanan Li, Yuqiu Tan, Zengwen Ma, Zengwen Ma, Weiwei Qian, Weiwei Qian

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Hybrid extreme learning machine for real-time rate of penetration prediction by Abdelhamid Kenioua, Omar Djebili, Ammar Touati Brahim

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Physical Model Tests on Reinforced Loess Foundation Model Under Wetting and Loading by ZHANG Wan, MU Hongkun, LIU Fengyin, GUO Huaining, ZHAO Wei, XUE Yifeng

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A predictive study of factors associated with burnout, compassion fatigue, and moral distress among emergency nurses by Salman Amish Alshammari, Chandrakala Sankarapandian, Eddieson Pasay an, Ayed Amesh Alshammary, Analita Gonzales, Jeneth Gutierrez, Maha Sanat Alreshidi, Nojoud Abdullah Alrashidi, Petelyne Pangket, Dolores Cabansag, Sameer Alkubati, Romeo Mostoles, Grace Ann Lagura, Sattam Hameed Albarak, Reynita Saguban

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The predictive value of MUC5AC levels in the sputum of children with Mycoplasma pneumoniae pneumonia treated with fiberbronchoscopy by Xiao-qing Jian, Miao Li, Xiao-yan Wang

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Evaluating the Predictive Value of HOMA-IR in Gestational Diabetes: A Case–Control Study from Romania by Ait el Haj Iman, Cristina Onel, Gheorghe Furau, Cristian Furau, Roxana Furau, Mihai Lucan, Mircea Sandor, Liliana Sachelarie, Anca Huniadi

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The Future of Economic Modelling by A.O. Moscardini, K. Lawler, T. Vlasova, E. Merza

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Predictive value of sub classification of focal segmental glomerular sclerosis in Oxford classification of IgA nephropathy by Fang Yu, Xuejing Zhu, Shuguang Yuan, Xiaojun Chen, Zheng Li, Zhong Qu, Hong Liu, Lin Sun, Fuyou Liu

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The Influence of Non-Landslide Sample Selection Methods on Landslide Susceptibility Prediction by Yu Fu, Zhihao Fan, Xiangzhi Li, Pengyu Wang, Xiaoyue Sun, Yu Ren, Wengeng Cao

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Neural network and Markov based combination prediction algorithm of video popularity by Xuesen MA, Shuyou CHEN, Xiangdong XU, Zhaokun CHU

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Extracting Overtaking Segments by Unsupervised Clustering and Predicting Nonmotorized Vehicle’s Trajectory by Ailing Yin, Xiaohong Chen, Lishengsa Yue

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Spatiotemporal Demand Prediction for Bike Sharing Based on WT-ConvLSTM by Wenyun Tang, Chenyang Yang, Hanbing Wang, Jie Huang, Gen Li

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