Changes of Immunological Profiles in Patients with Chronic Myeloid Leukemia in the Course of Treatment by Zuzana Humlová, Hana Klamová, Ivana Janatková, Karin Malícková, Petra Králíková, Ivan Šterzl, Zdeněk Roth, Eva Hamšíková, Vladimír Vonka

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Mycobacterium spp. exposure, childhood vaccinations, and early childhood brain and CNS cancers by Samer Singh, Rakesh K. Singh

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Advances in Biomedical Missing Data Imputation: A Survey by Miriam Barrabes, Maria Perera, Victor Novelle Moriano, Xavier Giro-I-Nieto, Daniel Mas Montserrat, Alexander G. Ioannidis

“…The origins of missing values in biomedical datasets are diverse, including experimental errors, equipment malfunctions, and variations in data collection protocols tailored to individual patient conditions. …”
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Development of a 3-MicroRNA Signature and Nomogram for Predicting the Survival of Patients with Uveal Melanoma Based on TCGA and GEO Databases by Jun Zuo, Hongquan Ye, Jing Tang, Jianqun Lu, Qi Wan

“…Combining univariate analysis and LASSO methods for identifying a robust miRNA biomarker in training set and the signature was validated in testing set and outside dataset. A prognostic nomogram was constructed and combined with decision curve as well as reduction curve analyses to assess the application of clinical usefulness. …”
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Strength Investigation of the Silt-Based Cemented Paste Backfill Using Lab Experiments and Deep Neural Network by Chongchun Xiao, Xinmin Wang, Qiusong Chen, Feng Bin, Yihan Wang, Wei Wei

“…After the discussion of the experimental results, a dataset was prepared after data collection and processing. …”
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Bioinformatics Analysis of Genes and Mechanisms in Postherpetic Neuralgia by Yong Qiu, Meng-Lei Hao, Xu-Tao Cheng, Zhen Hua

“…We analyzed the GSE64345 dataset, which includes gene expression from the ipsilateral dorsal root ganglia (DRG) of PHN model rats. …”
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Vision-Based Underwater Docking Guidance and Positioning: Enhancing Detection with YOLO-D by Tian Ni, Can Sima, Wenzhong Zhang, Junlin Wang, Jia Guo, Lindan Zhang

“…Tests on an underwater docking markers dataset demonstrated that YOLO-D achieved a detection accuracy of mAP@0.5 to 94.5%, surpassing the baseline YOLOv11n with improvements of 1.5% in precision, 5% in recall, and 4.2% in mAP@0.5. …”
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Disease prediction by network information gain on a single sample basis by Jinling Yan, Peiluan Li, Ying Li, Rong Gao, Cheng Bi, Luonan Chen

“…Moreover, our method was validated by successfully predicting disease deteriorations and identifying their potential therapeutic targets from four real omics datasets, i.e., an influenza dataset and three cancer datasets.…”
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Determining Dust Sources of Middle East and Assessing Their Impact on Agricultural Lands in Euphrates-Tigris River Basin (Syria-Iraq) by Ayhan Ateşoğlu, Metin Tunay, Talha Berk Arıkan, Saffet Yıldız

“…At the same time, it also allows users to utilize all the datasets generated from mid-resolution images of Modis, Landsat 5, 7 and 8. …”
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Application of attenuated total reflection-Fourier transform infrared spectroscopy in semi-quantification of blood lipids and characterization of the metabolic syndrome. by Tz-Ping Gau, Jen-Hung Wen, I-Wei Lu, Pei-Yu Huang, Yao-Chang Lee, Wei-Po Lee, Hsiang-Chun Lee

“…An adaptive synthetic technique was used to establish a prevalence-balanced dataset. LDL-C, HDL-C, TG, VLDL-C, and cholesterol levels were defined as the predicted targets of lipid absorption profiles. …”
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SViG: A Similarity-Thresholded Approach for Vision Graph Neural Networks by Ismael Elsharkawi, Hossam Sharara, Ahmed Rafea

“…We show that our proposed method can achieve higher performance than the ViG model for image classification on the benchmark ImageNet-1K dataset, without increasing the complexity of the model. …”
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Attenuation Correction Effects in Rainfall Estimation at X-Band Dual-Polarization Radar: Evaluation with a Dense Rain Gauge Network by Young-A Oh, DaeHyung Lee, Sung-Hwa Jung, Kyung-Yeub Nam, GyuWon Lee

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Molecular, Physical, and Technical Performance Response After a Competitive Match in Male Professional Soccer Players by Alessandra Modesti, Rosamaria Militello, Alice Tanturli, Alice Santi, Massimo Gulisano, Cristian Petri, Luca Pengue, Alessio Pellegrino, Pietro Amedeo Modesti, Simone Luti

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Carboxylated Multiwalled Carbon Nanotubes as Dispersive Solid-Phase Extraction Sorbent to Determine Eighteen Polychlorinated Biphenyls in Vegetable Samples by Gas Chromatography-Ma... by Tengfei Liu, Daifeng Yang, Jian Mao, Xueming Zhang, Minghui Dong

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Low-Cost Driver Monitoring System Using Deep Learning by Hady A. Khalil, Sherif A. Hammad, Hossam E. Abd El Munim, Shady A. Maged

“…In this paper, we present a low-cost driver monitoring system using a 15 Raspberry Pi Zero 2 W board and deep learning CNN to deliver a system capable of monitoring and identifying different states of the driver like safe driving, distracted, drowsy, and smartphone usage, the system achieves an inference rate for 10 Frames Per Second (FPS) and above 90% accuracy with the testing dataset. In addition to the deep learning CNN which runs on Raspberry Pi CPU, we utilize the Raspberry Pi GPU to run a head pose estimation algorithm to boost the system’s accuracy.…”
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Relationship between Neovascular Density in Swept Source-Optical Coherence Tomography Angiography and Signs of Activity in Exudative Age-Related Macular Degeneration by Martin Stattin, Julia Forster, Ahmed Daniel, Alexandra Graf, Katharina Krepler, Siamak Ansari-Shahrezaei

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Physical Feature Encoding and Word Recognition Abilities Are Altered in Children with Intractable Epilepsy: Preliminary Neuromagnetic Evidence by Maria Pardos, Milena Korostenskaja, Jing Xiang, Hisako Fujiwara, Ki H. Lee, Paul S. Horn, Anna Byars, Jennifer Vannest, Yingying Wang, Nat Hemasilpin, Douglas F. Rose

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Design of an iterative method for enhanced early prediction of acute coronary syndrome using XAI analysis by Shital Hajare, Rajendra Rewatkar, K.T.V. Reddy

“…Addressing data integrity, the methodology encompasses rigorous data preprocessing techniques, including advanced missing value imputation and outlier detection, to ensure dataset reliability. Feature selection is meticulously conducted through a recursive feature elimination and correlation analysis, thereby distilling critical predictive indicators from extensive clinical datasets. …”
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Fine-Grained Lung Cancer Classification from PET and CT Images Based on Multidimensional Attention Mechanism by RuoXi Qin, Zhenzhen Wang, LingYun Jiang, Kai Qiao, Jinjin Hai, Jian Chen, Junling Xu, Dapeng Shi, Bin Yan

“…Due to restrictions caused by single modality images of dataset as well as the lack of approaches that allow for a reliable extraction of fine-grained features from different imaging modalities, research regarding the automated diagnosis of lung cancer based on noninvasive clinical images requires further study. …”
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Modified AlexNet Convolution Neural Network For Covid-19 Detection Using Chest X-ray Images by Shadman Q. Salih, Hawre Kh. Abdulla, Zanear Sh. Ahmed, Nigar M. Shafiq Surameery, Rasper Dh. Rashid

“…The used chest X-ray images are gathered from two COVID-19 X-ray image datasets and one dataset includes large number of normal and pneumonia X-ray images. …”
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