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Showing 11 of 91 academic articles

Advancements in 7T magnetic resonance diffusion imaging: Technological innovations and applications in neuroimaging

Lisha Nie, Siyi Li, Bing Wu, Yuhui Xiong et al. • iRADIOLOGY (2024)

Abstract The development of 7‐Tesla (7T) magnetic resonance imaging systems has opened new avenues for exploring the advantages of diffusion imaging at higher field strengths, especially in neuroscience research. This review investigates wh...

DOAJ Open Access (DOAJ) DOI: 10.1002/ird3.92

Perceptual-Preference-Based Touring Routes in Xishu Gardens Using Panoramic Digital-Twin Modeling

Xueqian Gong, Zhanyuan Zhu, Li Guo, Yong Zhong et al. • Land (2025)

Xishu Gardens, an exemplary narrative of classical Chinese gardens, faces challenges in preserving its commemorative spatial structures while accommodating modern visitors’ needs. While trajectory analysis is critical, existing studies stru...

DOAJ Open Access (DOAJ) DOI: 10.3390/land14050932

Exploring the application and challenges of fNIRS technology in early detection of Parkinson’s disease

Pengsheng Hui, Yu Jiang, Jie Wang, Congxiao Wang et al. • Frontiers in Aging Neuroscience (2024)

BackgroundParkinson’s disease (PD) is a prevalent neurodegenerative disorder that significantly benefits from early diagnosis for effective disease management and intervention. Despite advancements in medical technology, there remains a cri...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnagi.2024.1354147

LearningEMS: A Unified Framework and Open-Source Benchmark for Learning-Based Energy Management of Electric Vehicles

Yong Wang, Hongwen He, Yuankai Wu, Pei Wang et al. • Engineering (2025)

An effective energy management strategy (EMS) is essential to optimize the energy efficiency of electric vehicles (EVs). With the advent of advanced machine learning techniques, the focus on developing sophisticated EMS for EVs is increasin...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.eng.2024.10.021

DCN-Deeplabv3+: A Novel Road Segmentation Algorithm Based on Improved Deeplabv3+

Hongming Peng, Siyu Xiang, Mingju Chen, Hongyang Li et al. • IEEE Access (2024)

Road segmentation is an important task in the field of semantic segmentation, and the Deeplabv3+ algorithm, which is commonly used for road segmentation, has shortcomings, such as numerous parameters and a tendency to lose detailed informat...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3416468

Designing novel linagliptin analogs through combined generative artificial intelligence, molecular docking, molecular dynamics simulation, and binding energy estimation for targeting fibroblast activation protein

Mingsong Shi, Mingsong Shi, Zhi Yang, Yuhan Yang et al. • Frontiers in Chemistry (2026)

Fibroblast activation protein (FAP) is a highly specific biomarker overexpressed in cancer-associated fibroblasts, making it a promising diagnostic target. Developing novel high-affinity molecular probes for FAP-targeted diagnostics remains...

DOAJ Open Access (DOAJ) DOI: 10.3389/fchem.2026.1848970

Deep nested U-structure network with frequency attention for building semantic segmentation

Khaled Moghalles, Zaid Al-Huda, Dalal AL-Alimi, Yeong Hyeon Gu et al. • Scientific Reports (2025)

Abstract The automated segmentation of buildings from remotely sensed imagery has undergone extensive research and application across various industrial domains. Despite this, several challenges persist, including incomplete internal extrac...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-13890-8

Biomaterial Engineering for Spatiotemporal Regulation of Exosome Functions: From Design Principles to Key Applications in Regenerative Medicine

Shan Long, Bo Wang, Shaodong Tian, Honglan Tang et al. • Pharmaceuticals (2026)

As natural nanoscale intercellular messengers, exosomes exhibit considerable potential in modulating inflammation, angiogenesis, immunoregulation, and tissue remodeling, making them attractive candidates for regenerative medicine. However, ...

DOAJ Open Access (DOAJ) DOI: 10.3390/ph19050672