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Showing 14 of 74 academic articles

Automated cell type annotation and exploration of single-cell signaling dynamics using mass cytometry

Dimitrios Kleftogiannnis, Sonia Gavasso, Benedicte Sjo Tislevoll, Nisha van der Meer et al. • iScience (2024)

Summary: Mass cytometry by time-of-flight (CyTOF) is an emerging technology allowing for in-depth characterization of cellular heterogeneity in cancer and other diseases. Unfortunately, high-dimensional analyses of CyTOF data remain quite d...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.isci.2024.110261

High temperature Nb-Si alloys using data science: optimization of fracture toughness and high-temperature strength

Chao Xu, Dezhi Chen, Xiaofu Zhang, Qi Wang et al. • Nature Communications (2026)

Abstract High temperature Nb-Si based alloys face a critical challenge: achieving adequate room-temperature fracture toughness ( > 18 MPa·m1/2) for processing while maintaining high-temperature strength, properties that typically compete wi...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41467-026-75353-6

High-throughput laboratory evolution reveals evolutionary constraints in Escherichia coli

Tomoya Maeda, Junichiro Iwasawa, Hazuki Kotani, Natsue Sakata et al. • Nature Communications (2020)

Understanding evolutionary constraints in antibiotic resistance is crucial for prediction and control. Here, the authors use high-throughput laboratory evolution of Escherichia coli alongside machine learning to identify trade-off relations...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41467-020-19713-w

Insights into the entire building life cycle assessment (LCA): existing trends, challenges and prospective framework

Erikas Lenkevičius, Jolanta Tamošaitienė • Journal of Environmental Engineering and Landscape Management (2026)

Building sustainability assessment increasingly demands life cycle coverage that captures environmental burdens and trade-offs beyond operational energy, including embodied impacts and end of life (EoL) outcomes under circular economy (CE) ...

DOAJ Open Access (DOAJ) DOI: 10.3846/jeelm.2026.27214

Tailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy

Nan Zheng, Yongchao Cai, Zehua Zhang, Huimin Zhou et al. • Nature Communications (2025)

Abstract The pursuit of obtaining enzymes with high activity and stability remains a grail in enzyme evolution due to the stability-activity trade-off. Here, we develop an isothermal compressibility-assisted dynamic squeezing index perturba...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41467-025-55944-5

Current Signature-Based Bearing Fault Severity Classification Using a Robust Multilevel Cascaded Framework

Korawege N. C. Jayasena, Battur Batkhishig, Babak Nahid-Mobarakeh, Ali Emadi • IEEE Access (2025)

Bearing faults are a critical concern in electrical machines, particularly permanent magnet synchronous motors (PMSMs), commonly used in electric vehicles. Early and accurate classification of bearing fault severity is essential for predict...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3589750

Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas

Anirban Chaudhuri, Graham Pash, David A. Hormuth, David A. Hormuth et al. • Frontiers in Artificial Intelligence (2023)

We develop a methodology to create data-driven predictive digital twins for optimal risk-aware clinical decision-making. We illustrate the methodology as an enabler for an anticipatory personalized treatment that accounts for uncertainties ...

DOAJ Open Access (DOAJ) DOI: 10.3389/frai.2023.1222612

<bold>CroSSHeteroFL</bold>: Cross-Stratified Sampling Composition-Fitting to Federated Learning for Heterogeneous Clients

Vo Phuc Tinh, Hoang Hai Son, Nguyen Hoang Nam, Duc Ngoc Minh Dang et al. • IEEE Access (2024)

In the large-scale deployment of federated learning (FL) systems, the heterogeneity of clients, such as mobile phones and Internet of Things (IoT) devices with different configurations, constitutes a significant problem regarding fairness, ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3475737

Artificial intelligence, systemic risks, and sustainability

Victor Galaz, Miguel Ángel Centeno, Peter W. Callahan, Amar Causevic et al. • Technology in Society (2021)

Automated decision making and predictive analytics through artificial intelligence, in combination with rapid progress in technologies such as sensor technology and robotics are likely to change the way individuals, communities, governments...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.techsoc.2021.101741

Optimizing Energy Consumption of Edge-Cloud Environments: A comparative Study Between PPO and PSO

Alejandro Espinosa, Xavier Samos, Daniel Ulied, Jordi Marias et al. • International Journal of Computational Intelligence Systems (2025)

Abstract As the usage of the edge-cloud continuum increases, Kubernetes presents itself as a solution that allows easy control and deployment of applications in these highly-distributed and heterogeneous environments. In this context, Artif...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44196-025-01073-2

Integrative Approaches to Soybean Resilience, Productivity, and Utility: A Review of Genomics, Computational Modeling, and Economic Viability

Yuhong Gai, Shuhao Liu, Zhidan Zhang, Jian Wei et al. • Plants (2025)

Soybean is a vital crop globally and a key source of food, feed, and biofuel. With advancements in high-throughput technologies, soybeans have become a key target for genetic improvement. This comprehensive review explores advances in multi...

DOAJ Open Access (DOAJ) DOI: 10.3390/plants14050671

InsDD-YOLO: Detection of Transmission Line Insulator Damage Based on the Improved YOLOv13 Model

Phat T. Nguyen, Duy C. Huynh, Loc D. Ho, Ha T. Tran et al. • IEEE Access (2025)

Amidst the rapid global expansion of smart grids, ensuring the safety and reliability of power transmission systems has become paramount. Insulators are critical components of high-voltage transmission lines, providing both electrical insul...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3648259