Evaluating the accuracy (precision and trueness) of conventional and digital Intraoral Impression Technique. by Lana Shwan Jalal, Dara Hamarashid Saeed

“…To determine the trueness of preparations and the accuracy of a complete arch, by using 3D analysis software, all datasets were superimposed. To compare the two-model group's accuracy and assess the trueness of the two preparation methods, a test of Mann-Whitney U was utilized. …”
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Combination of Artificial Neural Network and Particle Swarm Intelligence Algorithm for Diagnosing Diabetes by Cillian Thompson, Oscar Higgins

“…Data mining is an appropriate approach for uncovering information and hidden patterns within extensive datasets that are not readily detectable through conventional methodologies. …”
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Multi-scale sparse convolution and point convolution adaptive fusion point cloud semantic segmentation method by Yuxuan Bi, Peng Liu, Tianyi Zhang, Jialin Shi, Caixia Wang

“…Experimental comparisons and ablation studies conducted on the SemanticKITTI and nuScenes datasets validate the generality and effectiveness of the proposed approach. …”
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A New Attack Recovery Approach and <italic>H</italic>&#x221E; Performance Analysis for LFC Systems With FDI Attacks and Uncertainties by Xuxia He, Ruimei Zhang, Puying Wang

“…The <inline-formula> <tex-math notation="LaTeX">$H_{\infty } $ </tex-math></inline-formula> performance of LFC systems with uncertainties and FDI attacks is analyzed. Finally, two datasets are generated for validating the effectiveness of the proposed attack recovery model and the analysis of <inline-formula> <tex-math notation="LaTeX">$H_{\infty } $ </tex-math></inline-formula> performance.…”
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Robust adaptive optimization for sustainable water demand prediction in water distribution systems by Ke Wang, Jiayang Meng, Zhangquan Wang, Kehua Zhao, Banteng Liu

“…To validate the effectiveness of the RAOD strategy, real-world datasets from four distinct geographical regions are employed for multi-step ahead predictions. …”
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Grasping Variance in Word Norms: Individual Differences in Motor Imagery and Semantic Ratings by Emiko J. Muraki, Sydney Born, Penny M. Pexman

“…Word norming datasets have become an important resource for psycholinguistic research, and they are based on the underlying assumption that individual differences are inconsequential to the measurement of semantic dimensions. …”
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A paradoxical population structure of var DBLα types in Africa. by Mun Hua Tan, Kathryn E Tiedje, Qian Feng, Qi Zhan, Mercedes Pascual, Heejung Shim, Yao-Ban Chan, Karen P Day

“…By applying a novel ups classification algorithm (cUps) to publicly-available DBLα sequence datasets, we categorised DBLα according to association with the three ups groups, thereby avoiding the need to sequence complete genes. …”
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Unlocking biological complexity: the role of machine learning in integrative multi-omics by Ravindra Kumar, Rajrani Ruhel, Andre J. van Wijnen

“…Integrative multi-omics approaches use multi-layered datasets such as genomic, transcriptomic, proteomic, and metabolomic data to understand biological processes much more comprehensively compared to the single-omics analysis and to provide a comprehensive view of cellular and molecular processes. …”
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Stochastic Modelling of the Dynamics of the SARS-CoV-2 Epidemic: An Africa Perspective by Rasaki, Olawale Olanrewaju, Nafiu, Lukman Abiodun, Abdisalam, Hassan Muse, Thierno, Souleymane Barry

“…In this paper, we modelled the course of action of the SARS-CoV-2 virus in Africa and its five regions at approximately a year (as at 23/02/2021) of the pandemic via a five transitional compartments SIERD (Susceptible → Exposed→ Infected →Recovery → Dead) model. The datasets for the number of confirmed cases of the virus as well as the number of recoveries and deaths due to the virus as at 23/02/2021 were extracted from Africa Centre for Disease Control (Africa CDC). …”
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Revolutionizing Management Accounting: The Role of Artificial Intelligence in Predictive Analytics, Automated Reporting, and Decision-Making by Milos Pavlovic, Cedomir Gligoric, Filip Zdravkovic, Danijela Pavlovic

“…Results: The findings reveal that AI greatly enhances predictive analytics by boosting model accuracy and swiftly processing large datasets. AI-powered automated reporting improves efficiency and minimizes errors, while AI-based decision support systems deliver real-time insights and detect complex patterns, resulting in more effective strategic decisions. …”
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Predicting the hub interactome of COVID-19 and oral squamous cell carcinoma: uncovering ALDH-mediated Wnt/β-catenin pathway activation via salivary inflammatory proteins by Pradeep Kumar Yadalam, Deepavalli Arumuganainar, Prabhu Manickam Natarajan, Carlos M. Ardila

“…This study aims to predict the interactome of OSCC and COVID-19 based on salivary inflammatory proteins. Datasets for OSCC and COVID-19 were obtained from https://www.salivaryproteome.org/differential-expression and selected for differential gene expression analysis. …”
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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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Latent space improved masked reconstruction model for human skeleton-based action recognition by Enqing Chen, Xueting Wang, Xin Guo, Ying Zhu, Dong Li

“…The experiment results on the NTU-60 and NTU-120 datasets demonstrate that our proposed method can effectively improve the classification accuracy of the encoder in classification tasks and its generalization ability in the case of few labeled data. …”
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Subgenome asymmetry of gibberellins-related genes plays important roles in regulating rapid growth of bamboos by Ling Mao, Cen Guo, Liang-Zhong Niu, Yu-Jiao Wang, Guihua Jin, Yi-Zhou Yang, Ke-Cheng Qian, Yang Yang, Xuemei Zhang, Peng-Fei Ma, De-Zhu Li, Zhen-Hua Guo

“…Taking advantage of genomic resources of 11 representative bamboos at different ploidal levels, we integrated morphological, physiological, and transcriptomic datasets to investigate rapid growth. In particular, these bamboos include two large-sized and a small-sized woody species, compared with a diploid herbaceous species. …”
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BERT-BiGRU-Senti-GCN: An Advanced NLP Framework for Analyzing Customer Sentiments in E-Commerce by Muhammad Rizwan Rashid Rana, Asif Nawaz, Saif Ur Rehman, Muhammad Ali Abid, Mubariz Garayevi, Jana Kajanová

“…The effectiveness of this NLP-centric approach was tested on diverse datasets of customer feedback from the e-commerce industry. …”
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PRKD2 as a novel target for targeting the diabetes–osteoporosis nexus by Rongjin Chen, Chenhui Yang, Hefang Xiao, Ao Yang, Changshun Chen, Fei Yang, Bo Peng, Bin Geng, Yayi Xia

“…These findings were further validated using external datasets, and a series of functional enrichment analyses, gene set enrichment analyses, and immune cell infiltration studies were conducted. …”
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Radial Basis Function Coupling with Metaheuristic Algorithms for Estimating the Compressive Strength and Slump of High-Performance Concrete by Amir Reza Taghavi Khangah, Erfan Khajavi, Hasti Azizi, Amir Reza Alizade Novin

“…It has the highest R² values of 98.17 for CS and 93.54 for SL predictions among all the datasets, while it also records the lowest SI values of 0.064 and 0.037 for CS and SL, respectively. …”
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Understanding Sofia’s travel dynamics: Study of private traffic patterns and urban mobility by Lidia Lazarova Vitanova, Evgeny Shirinyan, Tereza Trendafilova, Dessislava Petrova-Antonova

“…By integrating high-resolution data from TomTom’s Traffic Stats with Geographic Information Systems (GIS), the study develops an advanced approach that merges various datasets, including traffic flow, density, and energy consumption, thereby facilitating multidimensional assessments of urban challenges at the city level. …”
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A deep learning-driven multi-layered steganographic approach for enhanced data security by Yousef Sanjalawe, Salam Al-E’mari, Salam Fraihat, Mosleh Abualhaj, Emran Alzubi

“…Extensive evaluations using benchmark datasets, including Tiny ImageNet, COCO, and CelebA, demonstrate the approach’s superior performance. …”
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Modeling compositional heterogeneity resolves deep phylogeny of flowering plants by Yongli Wang, Yan-Da Li, Shuo Wang, Erik Tihelka, Michael S. Engel, Chenyang Cai

“…Under site-heterogeneous models, the approximately unbiased test favored our preferred tree recovered from various datasets: Ceratophyllales (coontails) are robustly recovered as sister to monocots, and they together are sister to the clade comprising magnoliids, Chloranthales, and eudicots. …”
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