Editorial Material
Cell & Tissue Engineering
Emily J. Park, Srikanth Kodali, Bruno Di Stefano
Summary: Small molecule-induced cell fate transitions have low efficiency and slow kinetics. An optimized chemical reprogramming approach enables the rapid and robust conversion of somatic cells to pluripotent stem cells, providing exciting opportunities to study and manipulate human cell identity.
Article
Computer Science, Artificial Intelligence
Zhanhong Yan, Kaiming Yang, Zheng Wang, Bo Yang, Tsutomu Kaizuka, Kimihiko Nakano
Summary: The study introduced an intention-based haptic shared steering system that can assist lane keeping and lane changing by detecting a driver's intentions. A deep learning-based method was used to model the driver's decision timing for lane crossing, and an adaptive gain control method was proposed for steering control.
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
(2021)
Article
Engineering, Civil
Guilin Pang, Baopeng Zhang, Zhu Teng, Nan Ma, Jianping Fan
Summary: This paper proposes a novel lane detection network, Fast-HBNet, which exploits global semantic information and spatial contexts for lane detection. By employing compound transformation and the proposed hybrid branch network, diverse feature maps with different receptive fields and spatial contexts are extracted. A hierarchical feature learning module is designed to enhance the generalization ability of the detector. Experimental results demonstrate that Fast-HBNet outperforms other lane detectors in terms of both speed and accuracy.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Editorial Material
Hematology
M. T. Kuipers, M. J. Kersten
Summary: Despite the promising results of CAR T-cell therapies in certain types of cancer, limited production slots and variations in availability have prevented all eligible patients from benefiting. A framework for prioritizing patients receiving CAR T-cell therapy is discussed in this study.
Article
Engineering, Electrical & Electronic
Mihail-Alexandru Andrei, Costin-Anton Boiangiu, Nicolae Tarba, Mihai-Lucian Voncila
Summary: In this paper, two improvements are proposed for lane detection system, namely using probabilistic Hough transform and parallelogram region of interest, which lead to better runtime and accuracy.
Article
Engineering, Electrical & Electronic
Dongryul Kim, Hung Duy Nguyen, Kyoungseok Han
Summary: In this paper, a real-time vehicle path planning strategy based on state-constrained optimal solution is presented to help the vehicle avoid collision by lane change maneuver. The path is generated considering elapsed time and driver's ride quality depending on driving conditions. Trajectory optimization theory (Pontryagin maximum principle) is used to plan the path, resulting in analytical optimal solutions. The developed path planner is demonstrated to be effective through numerical examples and high-fidelity model-based verification, and it can rapidly generate a safe vehicle path depending on road surfaces and vehicle speeds.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Automation & Control Systems
Wenfeng Li, Xiaowei Wang, Jing Zhao, Chuanbao Gao, Zhengchao Xie
Summary: This article proposes a fuzzy output feedback steering control method for the vehicle lane keeping assistance system with aperiodic sampling. By introducing a fuzzy model and a set of design methods, the performance of vehicle lane keeping is effectively improved.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Engineering, Mechanical
Zhong Wang, Yin Zhao, Yang Tian, Yahui Zhang, Landa Gao
Summary: This paper proposes a lightweight network structure that improves the real-time performance of lane detection by combining the Squeeze-and-Excitation block and the Self-Attention Distillation module. The proposed network achieved a good trade-off between real-time performance and accuracy, with an accuracy of 97.49% and MIOU of 60.0% at a run time of 8.7 ms.
Article
Automation & Control Systems
Fanbiao Li, Zheng Wu, Nikhil R. Pal, Chunhua Yang, Hao Peng, Okyay Kaynak, Tingwen Huang
Summary: This article presents an adaptive control strategy for the lane-keeping task of automatic steering systems using sliding-mode technique. It employs interval type-2 fuzzy sets to reconstruct the steering system dynamics model and proposes an integral sliding surface for improved tracking capability and robustness to unknown disturbances.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Shen-Yun Wang, Xin-Ran Jin, Pei Liu, Wen Geyi
Summary: This letter demonstrates a fast multinull steering technique using a linearly polarized linear antenna array. The technique utilizes the electric fields generated by each antenna element on a far-field arc of the array, which are extracted in advance through simulation or measurement. By solving a matrix eigenvalue equation, the optimized distribution of excitations (ODEs) for the antenna array is obtained, allowing control over the number and directions of multiple nulls in the elevation space. The simulated and measured 2-D null patterns show good agreement.
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS
(2022)
Article
Mathematics, Interdisciplinary Applications
Erkan Oguz, Ayhan Kucukmanisa, Ramazan Duvar, Oguzhan Urhan
Summary: In this paper, a vision-based lane detection system using a novel 1-dimensional deep learning approach is proposed. The system outperforms existing approaches in terms of detection performance and processing speed, even in challenging situations such as rain, shadow, and illumination.
CHAOS SOLITONS & FRACTALS
(2022)
Editorial Material
Neurosciences
Tongtong Wang, Allan-Hermann Pool, Yuki Oka
Summary: In this study, two distinct classes of serotonergic neurons in Drosophila were identified, which transform sweet and bitter taste signals into endocrine and digestive responses.
Review
Pharmacology & Pharmacy
Anna D. Louie, Kelsey Huntington, Lindsey Carlsen, Lanlan Zhou, Wafik S. El-Deiry
Summary: Biomarkers play a crucial role in cancer therapeutics, aiding in screening, classification, survival prediction, and treatment efficacy prediction. The application of machine learning techniques can help identify disease-relevant features and improve predictive models.
FRONTIERS IN PHARMACOLOGY
(2021)
Editorial Material
Biology
Susan E. E. Johnston, Nancy Chen, Emily B. B. Josephs
Summary: This editorial provides an overview of the history of wild quantitative genetic and genomic studies, discusses the main themes in the papers published in this special issue, and highlights the future outlook of this dynamic field.
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2022)
Review
Biochemistry & Molecular Biology
Eleazer P. Resurreccion, Ka-wing Fong
Summary: This review focuses on the integration of metabolomics with multi-omics platforms in prostate cancer research, specifically highlighting the metabolomic profile of prostate cancer. The authors aim to provide researchers in the field with a comprehensive knowledge base in prostate cancer metabolomics and offer perspectives on overcoming limitations of the tool for future point-of-care applications.