Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (27)
  • Open Access

    RETRACTION

    Retraction: Truncated Bid Overexpression Induced by Recombinant Adenovirus Cre/LoxP System Suppresses the Tumorigenic Potential of CD133+ Ovarian Cancer Stem Cells

    Oncology Research Editorial Office

    Oncology Research, Vol.34, No.1, 2026, DOI:10.32604/or.2025.077268 - 30 December 2025

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Nitrogen/Phosphorus Ratio Affected the Growth of an Invasive Plant Alternanthera philoxeroides under Cadmium Stress

    Rui Zhang1, Le Ren1, Zhihang Liu1, Xinyue Gu1, Shanshan Du1, Xiao Chen1, Bingran Xi1, Bingnan Zhao1,2, Chao Si1,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.3, pp. 709-721, 2025, DOI:10.32604/phyton.2025.062281 - 31 March 2025

    Abstract Plant invasion poses a serious environmental challenge to freshwater ecosystems. Heavy metal pollution and nutrient enrichment, particularly nitrogen (N) and phosphorus (P), are two additional critical environmental issues known to influence the growth of invasive plants. Notably, the N/P ratio in the environments is often inconstant; however, whether these variations can cause differential responses in invasive plants remains underexplored, despite its crucial importance for understanding plant invasiveness. In this study, we examined the effects of different N/P ratios (4:1, 16:1, 32:1, 64:1) on the growth of a widespread invasive plant Alternanthera philoxeroides in cadmium (Cd) polluted… More >

  • Open Access

    ARTICLE

    DKP-SLAM: A Visual SLAM for Dynamic Indoor Scenes Based on Object Detection and Region Probability

    Menglin Yin1, Yong Qin1,2,3,4,*, Jiansheng Peng1,2,3,4

    CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 1329-1347, 2025, DOI:10.32604/cmc.2024.057460 - 03 January 2025

    Abstract In dynamic scenarios, visual simultaneous localization and mapping (SLAM) algorithms often incorrectly incorporate dynamic points during camera pose computation, leading to reduced accuracy and robustness. This paper presents a dynamic SLAM algorithm that leverages object detection and regional dynamic probability. Firstly, a parallel thread employs the YOLOX object detection model to gather 2D semantic information and compensate for missed detections. Next, an improved K-means++ clustering algorithm clusters bounding box regions, adaptively determining the threshold for extracting dynamic object contours as dynamic points change. This process divides the image into low dynamic, suspicious dynamic, and high More >

  • Open Access

    SHORT COMMUNICATION

    New Definitions of the Isometric Latitude and the Mercator Projection

    Miljenko Lapaine*

    Revue Internationale de Géomatique, Vol.33, pp. 155-165, 2024, DOI:10.32604/rig.2024.052258 - 10 June 2024

    Abstract The short communication discusses the interrelationships of loxodromes, isometric latitudes and the normal aspect of Mercator projection. It is shown that by applying the isometric latitude, a very simple equation of the loxodrome on the sphere is reached. The consequence of this is that the isometric latitude can be defined using the generalized longitude, and not only using the latitude, as was common until now. Generalized longitude is the longitude defined for every real number; modulo 2π of generalized and usual longitude are congruent. Since the image of the loxodrome in the plane of the… More > Graphic Abstract

    New Definitions of the Isometric Latitude and the Mercator Projection

  • Open Access

    ARTICLE

    Highly Differentiated Target Detection under Extremely Low-Light Conditions Based on Improved YOLOX Model

    Haijian Shao1,2,*, Suqin Lei1, Chenxu Yan3, Xing Deng1, Yunsong Qi1

    CMES-Computer Modeling in Engineering & Sciences, Vol.140, No.2, pp. 1507-1537, 2024, DOI:10.32604/cmes.2024.050140 - 20 May 2024

    Abstract This paper expounds upon a novel target detection methodology distinguished by its elevated discriminatory efficacy, specifically tailored for environments characterized by markedly low luminance levels. Conventional methodologies struggle with the challenges posed by luminosity fluctuations, especially in settings characterized by diminished radiance, further exacerbated by the utilization of suboptimal imaging instrumentation. The envisioned approach mandates a departure from the conventional YOLOX model, which exhibits inadequacies in mitigating these challenges. To enhance the efficacy of this approach in low-light conditions, the dehazing algorithm undergoes refinement, effecting a discerning regulation of the transmission rate at the pixel… More > Graphic Abstract

    Highly Differentiated Target Detection under Extremely Low-Light Conditions Based on Improved YOLOX Model

  • Open Access

    ARTICLE

    Fabrication of UV–Curing Linalool–Polysiloxane Hybrid Films with High Refractive Index and Transparency

    Wenqing Xiao1,#, Lewen Tan1,2,#, Xunjun Chen1,*, Qiaoguang Li1,*, Yunqing Ruan1

    Journal of Renewable Materials, Vol.12, No.3, pp. 569-583, 2024, DOI:10.32604/jrm.2023.046662 - 11 April 2024

    Abstract

    In this article, a series of high refractive indices (1.50–1.53) thiol phenyl polysiloxane (TPS) were synthesized via hydrolytic sol–gel reaction. The Fourier transform infrared spectra (FT–IR) and nuclear magnetic resonance spectra (NMR) results showed that TPS conformed to the predicted structures. Natural terpene linalool was exploited as photocrosslinker to fabricate UV–curing linalool–polysiloxane hybrid films (LPH) with TPS via photoinitiated thiol–ene reaction. LPH rapidly cured under UV irradiation at the intensity of 80 mW/cm2 in 30 s, exhibiting good UV–curing properties. The optical transmittance of LPH in the wavelength of 300–800 nm was over 90%, exhibiting good

    More >

  • Open Access

    ARTICLE

    Neural Wiskott-Aldrich syndrome protein (N-WASP) promotes distant metastasis in pancreatic ductal adenocarcinoma via activation of LOXL2

    HYUNG SUN KIM1,#, YUN SUN LEE2,#, SEUNG MYUNG DONG3, HYO JUNG KIM1, DA EUN LEE2, HYEON WOONG KANG2, MYEONG JIN KIM2, JOON SEONG PARK1,*

    Oncology Research, Vol.32, No.4, pp. 615-624, 2024, DOI:10.32604/or.2024.044029 - 20 March 2024

    Abstract Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive solid malignancies. A specific mechanism of its metastasis has not been established. In this study, we investigated whether Neural Wiskott-Aldrich syndrome protein (N-WASP) plays a role in distant metastasis of PDAC. We found that N-WASP is markedly expressed in clinical patients with PDAC. Clinical analysis showed a notably more distant metastatic pattern in the N-WASP-high group compared to the N-WASP-low group. N-WASP was noted to be a novel mediator of epithelial-mesenchymal transition (EMT) via gene expression profile studies. Knockdown of N-WASP in pancreatic cancer cells… More > Graphic Abstract

    Neural Wiskott-Aldrich syndrome protein (N-WASP) promotes distant metastasis in pancreatic ductal adenocarcinoma via activation of LOXL2

  • Open Access

    ARTICLE

    Target Detection Algorithm in Foggy Scenes Based on Dual Subnets

    Yuecheng Yu1,*, Liming Cai1, Anqi Ning1, Jinlong Shi1, Xudong Chen2, Shixin Huang1

    CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 1915-1931, 2024, DOI:10.32604/cmc.2024.046125 - 27 February 2024

    Abstract Under the influence of air humidity, dust, aerosols, etc., in real scenes, haze presents an uneven state. In this way, the image quality and contrast will decrease. In this case, It is difficult to detect the target in the image by the universal detection network. Thus, a dual subnet based on multi-task collaborative training (DSMCT) is proposed in this paper. Firstly, in the training phase, the Gated Context Aggregation Network (GCANet) is used as the supervisory network of YOLOX to promote the extraction of clean information in foggy scenes. In the test phase, only the… More >

  • Open Access

    ARTICLE

    Multi-Equipment Detection Method for Distribution Lines Based on Improved YOLOx-s

    Lei Hu1,*, Yuanwen Lu1, Si Wang2, Wenbin Wang3, Yongmei Zhang4

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 2735-2749, 2023, DOI:10.32604/cmc.2023.042974 - 26 December 2023

    Abstract The YOLOx-s network does not sufficiently meet the accuracy demand of equipment detection in the autonomous inspection of distribution lines by Unmanned Aerial Vehicle (UAV) due to the complex background of distribution lines, variable morphology of equipment, and large differences in equipment sizes. Therefore, aiming at the difficult detection of power equipment in UAV inspection images, we propose a multi-equipment detection method for inspection of distribution lines based on the YOLOx-s. Based on the YOLOx-s network, we make the following improvements: 1) The Receptive Field Block (RFB) module is added after the shallow feature layer… More >

  • Open Access

    ARTICLE

    Pre-Locator Incorporating Swin-Transformer Refined Classifier for Traffic Sign Recognition

    Qiang Luo1, Wenbin Zheng1,2,*

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 2227-2246, 2023, DOI:10.32604/iasc.2023.040195 - 21 June 2023

    Abstract In the field of traffic sign recognition, traffic signs usually occupy very small areas in the input image. Most object detection algorithms directly reduce the original image to a specific size for the input model during the detection process, which leads to the loss of small object information. Additionally, classification tasks are more sensitive to information loss than localization tasks. This paper proposes a novel traffic sign recognition approach, in which a lightweight pre-locator network and a refined classification network are incorporated. The pre-locator network locates the sub-regions of the traffic signs from the original… More >

Displaying 1-10 on page 1 of 27. Per Page