Model-enhanced spatial-temporal attention networks for traffic density prediction by Qi Guo, Qi Tan, Yue Peng, Long Xiao, Miao Liu, Benyun Shi

“…To validate the performance of the proposed MSTAN model, experiments are conducted on two public datasets of California highways (PeMS04 and PeMS08). …”
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Inflammatory disease progression shapes nanoparticle biomolecular corona-mediated immune activation profiles by Jacob R. Shaw, Nicholas Caprio, Nhu Truong, Mehari Weldemariam, Anh Tran, Nageswara Pilli, Swarnima Pandey, Jace W. Jones, Maureen A. Kane, Ryan M. Pearson

“…Integrated multi-omics analysis of proteomics, lipidomics, metabolomics, and cytokine datasets highlight a set of differentially enriched TLR4 ligands that correlate with dynamic NP corona-mediated immune activation. …”
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A Novel FS-GAN-Based Anomaly Detection Approach for Smart Manufacturing by Tae-yong Kim, Jieun Lee, Seokhyun Gong, Jaehoon Lim, Dowan Kim, Jongpil Jeong

“…Experimental results demonstrate that FS-GAN outperforms existing models in terms of accuracy and learning speed, even with limited datasets, effectively addressing the data imbalance problem inherent in manufacturing. …”
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Urban-Rural Disparity of Generics Prescription in Taiwan: The Example of Dihydropyridine Derivatives by Chia-Chen Hsu, Chia-Lin Chou, Shu-Chiung Chiang, Tzeng-Ji Chen, Li-Fang Chou, Yueh-Ching Chou

“…Data sources were the cohort datasets of National Health Insurance Research Database with claims data in 2010. …”
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Single-cell transcriptomes reveal cell-type-specific and sample-specific gene function in human cancer by Huating Yuan, Xin Liang, Xinxin Zhang, Yu Cao

“…We found that 500 or more cells should be considered in the prediction with scRNA-seq, and that scRNA-seq datasets generated from 10x Genomics platform had a better performance than those from Smart-seq2. …”
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Sparse Deep Nonnegative Matrix Factorization by Zhenxing Guo, Shihua Zhang

“…We applied our models using two benchmarking image datasets, and the results showed that our models can achieve competitive or better classification performance and produce intuitive interpretations compared with the typical NMF and competing multilayer models.…”
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Automated orthodontic diagnosis via self-supervised learning and multi-attribute classification using lateral cephalograms by Qiao Chang, Yuxing Bai, Shaofeng Wang, Fan Wang, Shuang Liang, Xianju Xie

“…Results Comprehensive evaluation on both public and clinical datasets showcases the superiority of the proposed framework, achieving an impressive average accuracy of 90.02%. …”
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Outcomes after reversed corneal graft rejection: a report from the European VISICORT project by W John Armitage, Uwe Pleyer, Conor C Murphy, Derek Tole, Matthew D Griffin, Jesper Hjortdal, Katja C Iselin, Bertrand Vabres

“…Objective This study aims to describe the outcome of corneal grafts, both low risk and high risk, after successfully reversed immunological rejection.Methods Datasets on reversed rejection episodes in penetrating and endothelial keratoplasties between 2014 and 2019 (n=876) were extracted from the Adverse Immune Signatures and their Prevention in Corneal Transplantation database, which contains the prospectively and consecutively collected corneal transplants from five European centres. …”
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An Extensible Python Open-Source Simulation Platform for Developing and Benchmarking Bus Holding Strategies by Minyu Shen, Chaojing Li, Yuezhong Wu, Xiaowen Bi, Feng Xiao

“…The platform is designed to be easily extensible, allowing users to incorporate real-world datasets and customize detailed operational features. …”
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Exploring the Structural Diversity and Biotechnological Potential of the Rhodophyte Phycolectome by Éllen F. Rodrigues, Flavia Alves Verza, Felipe Garcia Nishimura, Renê Oliveira Beleboni, Cedric Hermans, Kaat Janssens, Maarten Lieven De Mol, Paco Hulpiau, Mozart Marins

“…We compiled literature data and conducted an in-depth analysis of the phycolectomes from all Rhodophyta genomes available in NCBI datasets. Using Hidden Markov Models capable of identifying lectin-type domains, we found at least six different types of lectin domains present in Rhodophytes, demonstrating their potential in identifying new lectins. …”
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Diet-derived urolithin A is produced by a dehydroxylase encoded by human gut Enterocloster species by Reilly Pidgeon, Sacha Mitchell, Michael Shamash, Layan Suleiman, Lharbi Dridi, Corinne F. Maurice, Bastien Castagner

“…By interrogating publicly available metagenomics datasets, we observed that uroC-metabolizing Enterocloster species and ucd operon genes are prevalent in human feces. …”
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Does prism adaptation treatment reduce spatial neglect and improve function? by Peii Chen, Peii Chen, Kimberly Hreha, Catrina MacPhee, Amber Salter, Gail A. Eskes

“…However, analyses of clinical datasets support the use of prism adaptation treatment (PAT) in reducing SN and improving function. …”
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Denoising Graph Inference Network for Document-Level Relation Extraction by Hailin Wang, Ke Qin, Guiduo Duan, Guangchun Luo

“…We conduct extensive experiments on three public datasets. The results evidence that our method is beneficial to establish long-range semantic dependency and can improve the classification performance with longer texts.…”
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A comprehensive evaluation of ai techniques for air quality index prediction: RNNs and transformers by Pablo Andrés Buestán Andrade, Pedro Esteban Carrión Zamora, Anthony Eduardo Chamba Lara, Juan Pablo Pazmiño Piedra

“…The findings reveal that the LSTM model achieved superior performance, with an R2 of 0.701, an RMSE of 0.087, and an MAE of 0.056, demonstrating superior capability in capturing temporal dependencies within complex datasets. Conversely, while Transformer-based models exhibited potential, they were less effective in handling intricate time-series data, resulting in comparatively lower accuracy. …”
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Leveraging deep feature learning for handwriting biometric authentication by Parvaneh Afzali, Abdoreza Rezapour, Ahmad Rezaee Jordehi

“…The effectiveness of the proposed model is substantiated through experimental results obtained from two well-known datasets in both English and Arabic, IAM and IFN/ENIT. …”
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Trends and drivers of dissolved organic carbon in major Arctic rivers by Mingxin Song, Jue Huang, Desong Zhao, Yulei Mu

“…In this study, in situ measured datasets and Landsat images were used to construct an efficient remote sensing retrieval model for DOC in Arctic rivers. …”
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Increased RTN3 phenocopies nonalcoholic fatty liver disease by inhibiting the AMPK–IDH2 pathway by Hao Huang, Shuai Guo, Ya‐Qin Chen, Yu‐Xing Liu, Jie‐Yuan Jin, Yun Liang, Liang‐Liang Fan, Rong Xiang

“…Here, we employed public datasets, patients, and several animal models to explore the role of RTN3 in nonalcoholic fatty liver disease (NAFLD). …”
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Replication-Based Query Management for Resource Allocation Using Hadoop and MapReduce over Big Data by Ankit Kumar, Neeraj Varshney, Surbhi Bhatiya, Kamred Udham Singh

“…MapReduce model functionality is used for creating a cluster parallel, distributed algorithm, and large datasets. The MapReduce strategy from Hadoop helps develop a community of non-commercial use to offer a new algorithm for resolving such problems for commercial applications as expected from this working algorithm with insights as a result of disproportionate or discriminatory Hadoop cluster results. …”
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Dual Strategy Based Improved Swarm Intelligence and Stacked LSTM With Residual Connection for Land Use Land Cover Classification by Vinaykumar Vajjanakurike Nagaraju, Ananda Babu Jayachandra, Andrzej Stateczny, Swathi Holalu Yogesh, Raviprakash Madenur Lingaraju, Balaji Prabhu Baluvaneralu Veeranna

“…The DSBES and stacked LSTM with residual connection achieve higher accuracy values of 99.71%, 98.66%, 97.59%, and 99.24% for UCM, AID, NWPU, and EuroSAT datasets, respectively, as compared to VGG19 and optimal guidance whale optimization algorithm–bidirectional long short-term memory.…”
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D-MGDCN-CLSTM: A Traffic Prediction Model Based on Multi-Graph Gated Convolution and Convolutional Long–Short-Term Memory by Linliang Zhang, Shuyun Xu, Shuo Li, Lihu Pan, Su Gong

“…The model is tested against 10 algorithms using the PeMSD7(M) and PeMSD7(L) datasets, improving MAE, RMSE, and ACC by an average of 1.38% and 13.89%, 1% and 1.24%, and 5.92% and 1%, respectively. …”
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