Oncology Research Editorial Office

Oncology Research, Vol.32, No.9, pp. 1523-1523, 2024, DOI:10.32604/or.2024.056118 - 23 August 2024

Abstract This article has no abstract. More >

STEPHEN E. LANGABEER^*

Oncology Research, Vol.32, No.9, pp. 1423-1427, 2024, DOI:10.32604/or.2024.051218 - 23 August 2024

Abstract Hairy cell leukemia (HCL) is an uncommon mature B-cell malignancy characterized by a typical morphology, immunophenotype, and clinical profile. The vast majority of HCL patients harbor the canonical BRAF V600E mutation which has become a rationalized target of the subsequently deregulated RAS-RAF-MEK-MAPK signaling pathway in HCL patients who have relapsed or who are refractory to front-line therapy. However, several HCL patients with a classical phenotype display non-canonical BRAF mutations or rearrangements. These include sequence variants within alternative exons and an oncogenic fusion with the IGH gene. Care must be taken in the molecular diagnostic work-up of patients More >

ZHENGYI WANG^1,*, LIANG ZHOU¹, XIAOYING WU²

Oncology Research, Vol.32, No.9, pp. 1479-1516, 2024, DOI:10.32604/or.2024.048564 - 23 August 2024

Abstract Chimeric antigen receptor T-cesll therapy (CAR–T) has achieved groundbreaking advancements in clinical application, ushering in a new era for innovative cancer treatment. However, the challenges associated with implementing this novel targeted cell therapy are increasingly significant. Particularly in the clinical management of solid tumors, obstacles such as the immunosuppressive effects of the tumor microenvironment, limited local tumor infiltration capability of CAR–T cells, heterogeneity of tumor targeting antigens, uncertainties surrounding CAR–T quality, control, and clinical adverse reactions have contributed to increased drug resistance and decreased compliance in tumor therapy. These factors have significantly impeded the widespread More > Graphic Abstract

Yuanyuan Zhao¹, Fujian Zhao², Guohui Li³, Wei Xu^4,*, Xiuli Wang^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.8, pp. 1883-1901, 2024, DOI:10.32604/fdmp.2024.047298 - 06 August 2024

Abstract Self-excited oscillating jets (SOJ) are used in several practical applications. Their performances are significantly affected by structural parameters and the target distance. In this study, a geometric model of the SOJ nozzle accounting for multiple structural parameters is introduced, then the related cavitation performances and the optimal target distance are investigated using a Large-Eddy Simulation (LES) approach. Results are also provided about an experiment, which was conducted to validate the simulation results. By analyzing the evolution of the vapor volume fraction at the nozzle outlet, a discussion is presented about the effect of the aforementioned… More >

Bo Cao^1,*, Qinghua Xing², Longyue Li², Huaixi Xing¹, Zhanfu Song¹

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 1251-1275, 2024, DOI:10.32604/cmc.2024.052842 - 18 July 2024

Abstract As a core part of battlefield situational awareness, air target intention recognition plays an important role in modern air operations. Aiming at the problems of insufficient feature extraction and misclassification in intention recognition, this paper designs an air target intention recognition method (KGTLIR) based on Knowledge Graph and Deep Learning. Firstly, the intention recognition model based on Deep Learning is constructed to mine the temporal relationship of intention features using dilated causal convolution and the spatial relationship of intention features using a graph attention mechanism. Meanwhile, the accuracy, recall, and F1-score after iteration are introduced More >

Bingyi Ren^1,4, Juwei Zhang^2,3,4,*, Tong Wang^2,4

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 1425-1440, 2024, DOI:10.32604/cmc.2024.052667 - 18 July 2024

Abstract Autonomous driving technology has entered a period of rapid development, and traffic sign detection is one of the important tasks. Existing target detection networks are difficult to adapt to scenarios where target sizes are seriously imbalanced, and traffic sign targets are small and have unclear features, which makes detection more difficult. Therefore, we propose a Hybrid Feature Fusion Traffic Sign detection algorithm based on YOLOv7 (HFFT-YOLO). First, a self-attention mechanism is incorporated at the end of the backbone network to calculate feature interactions within scales; Secondly, the cross-scale fusion part of the neck introduces a… More >

Yongguo Li, Yuanrong Wang, Jia Xie^*, Caiyin Xu, Kun Zhang

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 467-486, 2024, DOI:10.32604/cmc.2024.051426 - 18 July 2024

Abstract To address the challenges of missed detections in water surface target detection using solely visual algorithms in unmanned surface vehicle (USV) perception, this paper proposes a method based on the fusion of visual and LiDAR point-cloud projection for water surface target detection. Firstly, the visual recognition component employs an improved YOLOv7 algorithm based on a self-built dataset for the detection of water surface targets. This algorithm modifies the original YOLOv7 architecture to a Slim-Neck structure, addressing the problem of excessive redundant information during feature extraction in the original YOLOv7 network model. Simultaneously, this modification simplifies… More >

Oncology Research Editorial Office

Oncology Research, Vol.32, No.8, pp. 1379-1379, 2024, DOI:10.32604/or.2024.055034 - 17 July 2024

Abstract This article has no abstract. More >

Oncology Research Editorial Office

Oncology Research, Vol.32, No.8, pp. 1371-1371, 2024, DOI:10.32604/or.2024.055030 - 17 July 2024

Abstract This article has no abstract. More >

HUI SUN, MASANORI KAWANO^*, TATSUYA IWASAKI, ICHIRO ITONAGA, YUTA KUBOTA, HIROSHI TSUMURA, KAZUHIRO TANAKA

Oncology Research, Vol.32, No.8, pp. 1369-1370, 2024, DOI:10.32604/or.2024.052652 - 17 July 2024

Abstract This article has no abstract. More >