Non-parametric estimation of survival probabilities with a time-dependent exposure switch: application to (simulated) heart transplant data by Davide Paolo Bernasconi, Maria Grazia Valsecchi, Laura Antolini

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Entity Pair Relation Classification Based on Contrastive Learning and Biaffine Model by Songhua Hu, Ziming Zhang, Hengxin Wang, Lihui Jiang

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KRSA: An R package and R Shiny web application for an end-to-end upstream kinase analysis of kinome array data. by Erica A K DePasquale, Khaled Alganem, Eduard Bentea, Nawshaba Nawreen, Jennifer L McGuire, Tushar Tomar, Faris Naji, Riet Hilhorst, Jaroslaw Meller, Robert E McCullumsmith

“…Peptide array technologies like the PamStation12 from PamGene allow for generating high-throughput, multi-dimensional, and complex functional proteomics data. …”
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Applying Machine Learning Sampling Techniques to Address Data Imbalance in a Chilean COVID-19 Symptoms and Comorbidities Dataset by Pablo Ormeño-Arriagada, Gastón Márquez, David Araya, Carla Rimassa, Carla Taramasco

“…The dataset obtained from the EPIVIGILA system and the Chilean Epidemiological Surveillance Process contains information on over 6,000,000 patients, but, like many current datasets, it suffers from class imbalance. …”
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Accurate and Data‐Efficient Micro X‐ray Diffraction Phase Identification Using Multitask Learning: Application to Hydrothermal Fluids by Yanfei Li, Juejing Liu, Xiaodong Zhao, Wenjun Liu, Tong Geng, Ang Li, Xin Zhang

“…Traditional analysis of highly distorted micro X‐ray diffraction (μ‐XRD) patterns from hydrothermal fluid environments is a time‐consuming process, often requiring substantial data preprocessing and labeled experimental data. …”
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Human-AI Intersection: Understanding the Ethical Challenges, Opportunities, and Governance Protocols for a Changing Data-Driven Digital World by Bahaudin G. Mujtaba

“…Artificial intelligence (AI), in this data-driven digital world, is revolutionizing modern life with far-reaching implications for individuals, teams, organizations, and society. …”
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Rigorous and extensive accuracy assestment of automatically classified LiDAR data: a case study in the city of Milan, Italy by D. Lodigiani, V. M. Casella

“…LiDAR data filtering has been an active research area for nearly thirty years and continues to present significant challenges due to the increasing density of acquired LiDAR data. …”
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Acanthamoeba castellanii as a model for unveiling Campylobacter jejuni host–pathogen dynamics by Fauzy Nasher, Burhan Lehri, Richard A. Stabler, Brendan W. Wren

“…Upregulated genes were associated with protein synthesis, DNA damage and repair, gluconeogenic pathways, and protein folding and targeting, while downregulated genes were involved in calcium ion transport, osmotic stress response, energy reserve metabolic processes, and protein hydroxylation. From these data, we characterized Cj0979c, named here C. jejuni endonuclease (CjeN), which induces DNA damage in A. castellanii. …”
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MapReduce based big data framework using associative Kruskal poly Kernel classifier for diabetic disease prediction by R. Ramani, S. Edwin Raja, D. Dhinakaran, S. Jagan, G. Prabaharan

“…Recent trendy applications of Artificial Intelligence are Machine Learning (ML) algorithms, which have been extensively utilized for processes like pattern recognition, object classification, effective prediction of disease etc. …”
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Observed impact of the GNSS clock data rate on radio occultation bending angles for Sentinel-6A and COSMIC-2 by S. Padovan, A. von Engeln, S. Paolella, Y. Andres, C. R. Galley, R. Notarpietro, V. Rivas Boscan, F. Sancho, F. Martin Alemany, N. Morew, C. Marquardt

“…The analysis is based on the reprocessing of Sentinel-6A data (4 months in 2021, September to December, or about 110 000 occultations) and of a smaller sample of recent COSMIC-2/FORMOSAT-7 data (5–7 August 2023, or about 9000 occultations). …”
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Systems biology approach delineates critical pathways associated with papillary thyroid cancer: a multi-omics data analysis by Febby Payva, Santhy K. S., Remya James, Amrisa Pavithra E, Venketesh Sivaramakrishnan

“…Core deregulated pathways, TFs, and kinases modulate critical biological processes like proliferation, angiogenesis, immune infiltration, invasion, autophagy, EMT, and metastasis in PTC. …”
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Mechanical Damage Causes Potato Taste Defect in Coffee Without Antestia Bug Infestations: Evidence from Experimental Data by Joseph Bigirimana, Isaac Mubashankwaya, Theogene Niyibigira, Felix Nzeyimana

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Topological data analysis captures horizontal gene transfer in antimicrobial resistance gene families among clinically relevant bacteria by Shaday Guerrero-Flores, Haydeé Contreras-Peruyero, José María Ibarra-Rodríguez, José Abel Lovaco-Flores, Francisco Santiago Nieto-de la Rosa, Fernando Fontove-Herrera, Nelly Sélem-Mojica

“…Persistent homology, a topological data analysis method, effectively captures processes beyond vertical inheritance. …”
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The relationship between immune cell infiltration and necroptosis gene expression in sepsis: an analysis using single-cell transcriptomic data by Shouyi Wang

“…KEGG pathway analysis revealed involvement in necroptosis, apoptosis, and NOD-like receptor signaling pathways. GSVA demonstrated that Wnt signaling was upregulated in the SE group. …”
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Leveraging advanced deep learning and machine learning approaches for snow depth prediction using remote sensing and ground data by Haytam Elyoussfi, Abdelghani Boudhar, Salwa Belaqziz, Mostafa Bousbaa, Karima Nifa, Bouchra Bargam, Abdelghani Chehbouni

“…These findings underscore the potential of integrating remote sensing with AI techniques to improve hydrological modeling and water resource planning in data-scarce regions like the Atlas Mountains.…”
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Data-driven thrust prediction in applied-field magnetoplasmadynamic thrusters for space missions using artificial intelligence-based models by Tarik Pinaffo Almeida, Shahin Alipour Bonab, Mohammad Yazdani-Asrami

“…These thrusters are characterized by nonlinear and complex interaction between controllable parameters, such as current and magnetic field, and structural attributes like part dimensions including anode and cathode radii. …”
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Opinion mining using ensemble model for restaurant feedback analysis by Rohan S. Kamath, M. R. Kaushik, M. Ramakrishna

“…Thorough preparation of the data, feature extraction, and analysis are all part of the study. …”
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A Hybrid VGG16‐ViT Approach With Image Processing Techniques for Improved White Blood Cell Classification and Disease Diagnosis: A Retrospective Study by Md Shahin Ali, Md. Maruf Hossain, Md. Mahfuz Ahmed, Kazi Rubaya Nowrin, S. M. Mahim, Shakib Al Hasan, Moutushi Akter Kona, Md Shafiqul Islam, Kazi Mowdud Ahmed, Md Mahbubur Rahman, Md Khairul Islam

“…Methods To enhance the efficiency of the classification process, preprocessing techniques such as data normalization, categorical variable encoding, feature extraction, and data augmentation were employed in conjunction with the proposed model before the training phase. …”
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An intelligent adaptive neuro-fuzzy based control for multiport DC-AC converter with differential power processing converter for hybrid renewable power generation systems by S. Shanmugam, A. Sharmila

“…As evidenced by the data, system performance has significantly improved as compared to traditional control techniques. …”
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Continuous High-Precision Positioning in Smartphones by FGO-Based Fusion of GNSS–PPK and PDR by Amjad Hussain Magsi, Luis Enrique Díez, Stefan Knauth

“…In addition to this, different GNSS processing techniques like Precise Point Positioning (PPP) and Real-Time Kinematic (RTK) have also been integrated with INS. …”
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