Sensitivity and identifiability analysis of COVID-19 pandemic models by O. I. Krivorotko, S. I. Kabanikhin, M. I. Sosnovskaya, D. V. Andornaya

“…It has been demonstrated that a more general COVID-19 spread compartmental model consisting of seven ordinary differential equations describes the main trend of the spread and is sensitive to the peaks of conf irmed cases but does not qualitatively describe small statistical datasets such as the number of daily critical cases or mortality that can lead to errors in forecasting. …”
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Diagnosis-Based Hybridization of Multimedical Tests and Sociodemographic Characteristics of Autism Spectrum Disorder Using Artificial Intelligence and Machine Learning Techniques:... by M. E. Alqaysi, A. S. Albahri, Rula A. Hamid

“…Finally, this study critically reviews the literature and attempts to address the diagnosis ASD research gaps in knowledge and highlights the available ASD datasets, AI techniques and ML algorithms, and the feature selection methods that have been collected from the final set of articles.…”
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Influence of transient conditions on thermal comfort evaluations: Field study in university buildings by Keovathana Run, Franck Cévaër, Jean-François Dubé

“…To create transient-state and steady-state datasets, random groups of participants completed questionnaire surveys at various time points. …”
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Confidence-Aware Embedding for Knowledge Graph Entity Typing by Yu Zhao, Jiayue Hou, Zongjian Yu, Yun Zhang, Qing Li

“…The extensive experimental results in two public benchmark datasets (i.e., FB15kET and YAGO43kET) demonstrate that our proposed model outperforms all baselines on all tasks, which verify the effectiveness of ConfE in learning better embeddings on noisy KGs. …”
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RNA modification writer-based immunological profile and genomic landscape of tumor microenvironment in lung adenocarcinoma by Qiang Xu, Lingyu Kong, Zhezhu Han, Xiuying Jin, Mingyan Ding, Zhengri Piao, Songnan Zhang

“…Methods We assessed the expression properties and genetic alterations of 26 RNA modification writers, including adenosine-to-inosine RNA editing, alternative polyadenylation, m1A, and m6A in 502 lung adenocarcinoma (LUAD) samples from the Cancer Genome Atlas (TCGA) datasets. Then, we used differentially expressed gene (DEGs) to develop a signature for predicting patient outcomes, which was dubbed the “writer score” for RNA-modified writers. …”
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The co-occurrence of multimorbidity and polypharmacy among middle-aged and older adults in Canada: A cross-sectional study using the Canadian Longitudinal Study on Aging (CLSA) and... by Kathryn Nicholson, Jennifer Salerno, Sayem Borhan, Benoit Cossette, Dale Guenter, Meredith Vanstone, John Queenan, Michelle Greiver, Michelle Howard, Amanda L Terry, Tyler Williamson, Lauren E Griffith, Martin Fortin, Saverio Stranges, Dee Mangin

“…<h4>Methods and findings</h4>This study reported on multimorbidity and polypharmacy among middle-aged and older adults in two national datasets: the Canadian Longitudinal Study on Aging (CLSA) and the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). …”
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Random Cross-Validation Produces Biased Assessment of Machine Learning Performance in Regional Landslide Susceptibility Prediction by Chandan Kumar, Gabriel Walton, Paul Santi, Carlos Luza

“…., it ignores the spatial autocorrelation (SAC) inherent in spatial datasets when partitioning the training and testing sets. …”
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Towards the Measurement of Sea-Ice Thickness Using a Time-Domain Inductive Measurement System by Danny Hills, Becan Lawless, Rauan Khangerey, Jeremy Wilkinson, Liam A. Marsh

“…The measured and simulated datasets are presented along with a proposed form of post-processing, which establishes a correlation between the distance to the sea surface and the measured EMI response. …”
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Prognosis Analysis and Validation of Fatty Acid Metabolism-Related lncRNAs and Tumor Immune Microenvironment in Cervical Cancer by Xiaolin Lang, Changchang Huang, Hongyin Cui

“…FAM-related differentially expressed genes (DEGs) and lncRNAs were screened in CC specimens based on TCGA datasets. Univariate analysis was carried out on differentially expressed lncRNAs to screen the survival-related lncRNAs. …”
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A Spatial&#x2013;Temporal Difference Aggregation Network for Gaofen-2 Multitemporal Image in Cropland Change Area by Chuang Liu, Liyang Bao, Zhiqi Zhang

“…In addition, we conduct generalization experiments on the remaining three mainstream datasets, demonstrating that our method is equally applicable to other change detection scenarios.…”
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Refining Sparse Cell-ID Trajectory of Public Service Vehicles by Spatiotemporal Modelling by Kemin Zhu, Junli Liu, Xianfeng Song, Weifeng Wang, Hao Chen

“…The approach was finally tested using Beijing cellular network signaling datasets. The precision of PSV trajectory detection is 90%, and the recall is 88%. …”
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Exploring the influences of education, intelligence and income on mental disorders by Fuquan Zhang, Ancha Baranova, Hongbao Cao

“…However, the direct effects of each factor on major mental disorders are unclear.Aims We aimed to evaluate the overall and independent causal effects of the three psychosocial factors on common mental disorders.Methods Using genome-wide association study summary datasets, we performed Mendelian randomisation (MR) and multivariable MR (MVMR) analyses to assess potential associations between the 3 factors (EA, N=766 345; household income, N=392 422; intelligence, N=146 808) and 13 common mental disorders, with sample sizes ranging from 9907 to 807 553. …”
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Spatial transcriptome reveals histology-correlated immune signature learnt by deep learning attention mechanism on H&E-stained images for ovarian cancer prognosis by Chun Wai Ng, Kwong-Kwok Wong, Barrett C. Lawson, Sammy Ferri-Borgogno, Samuel C. Mok

“…After validating the model with the testing datasets, pathway enrichment analysis showed that the H&E—based survival score significantly correlated with certain immune signatures and this was validated spatially using spatial transcriptome data generated from ovarian cancer FFPE samples by correlating the selected signature and attention signal. …”
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Deep Feature Learning for Intrinsic Signature Based Camera Discrimination by Chaity Banerjee, Tharun Kumar Doppalapudi, Eduardo Pasiliao, Tathagata Mukherjee

“…We conduct experiments using three custom datasets: the first containing two cameras in an indoor environment where each camera may observe different scenes having no overlapping features, the second containing images from four cameras in an outdoor setting but where each camera observes scenes having overlapping features and the third containing images from two cameras observing the same checkerboard pattern in an indoor setting. …”
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Machine learning-random forest model was used to construct gene signature associated with cuproptosis to predict the prognosis of gastric cancer by Xiaolong Liu, Pengxian Tao, He Su, Yulan Li

“…Transcriptome and clinical data of patients with GC were collected from The Cancer Genome Atlas and Gene Expression Omnibus datasets. Single sample gene set enrichment analysis (GSEA) and the randomized forest method were used to establish the prognostic model. …”
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Mapping the extent of unhealthy food advertising around schools in Tāmaki Makaurau/Auckland by Karolina Kneller, Kelly Garton, Daniel J. Exeter, Victoria Egli

“…Using a combination of datasets from separate studies, this research seeks to describe the extent of children’s unhealthy food/drink advertising exposure in all primary and intermediate school food zones (n = 381) in Tāmaki Makaurau, Auckland, and assess whether this exposure correlates with indicators of neighbourhood deprivation. …”
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Outbreak of Norovirus GII.P17-GII.17 in the Canadian Province of Nova Scotia by Jason J. LeBlanc, Janice Pettipas, Daniel Gaston, Robin Taylor, Todd F. Hatchette, Tim F. Booth, Russell Mandes, Andrew McDermid, Elsie Grudeski

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Transforming traffic accident investigations: a virtual-real-fusion framework for intelligent 3D traffic accident reconstruction by Yanzhan Chen, Qian Zhang, Fan Yu

“…., 3D Gaussian splatting (3D-GS), is utilized to construct 3D digitized traffic accident scenes from UAV-based image datasets collected in the traffic simulation environment. …”
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Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification. by Saleem Mustafa, Arfan Jaffar, Muhammad Rashid, Sheeraz Akram, Sohail Masood Bhatti

“…The proposed hybrid deep learning model is intensively validated on the Ham10000 data set which is one of the most popular datasets for skin lesions analysis. The obtained results show that the utilized approach, compared to the previous ones, is more effective, giving better segmentation and classification results. …”
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Early Detection of Seasonal Outbreaks from Twitter Data Using Machine Learning Approaches by Samina Amin, Muhammad Irfan Uddin, Duaa H. alSaeed, Atif Khan, Muhammad Adnan

“…For experimental analysis, two datasets (dengue and flu) are analyzed individually. …”
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