Description of Hyloconis longivalvata Li, sp. n., with notes on its biology (Lepidoptera: Gracillariidae, Lithocolletinae)

Hyloconis longivalvata Li, sp. n. is described based on adults, larvae and pupae from Tianjin and Shanxi, northern China. Campylotropis macrocarpa (Bunge) and Lespedeza bicolor Turcz. (Fabaceae) are reported as its host plants. The larval head and pupal features of the genus Hyloconis are described for the first time. Morphological characters of adult and immature stages as well as leafmines of the new species are illustrated

Implications of viral infections and oncogenesis in uterine cervical carcinoma etiology and pathogenesis

BackgroundUterine Cervical Carcinoma (UCC) is the most prevalent gynecological malignancy globally, with a rising incidence in recent years. Accumulating evidence indicates that specific viral infections, including human papillomavirus (HPV), Epstein-Barr virus (EBV), Hepatitis B and C viruses (HBV and HCV), and human herpesvirus (HHV), may contribute to UCC development and progression. Understanding the complex interplay between viral infections and UCC risk is crucial for developing novel preventative and therapeutic interventions.MethodsThis comprehensive review investigates the association between viral infections and UCC risk by examining the roles of various viral pathogens in UCC etiology and pathogenesis, and possible molecular mechanisms. Additionally, we evaluate current diagnostic methods and potential therapeutic strategies targeting viral infections for UCC prevention or treatment.ResultsThe prevention of UCC has been significantly advanced by the emergence of self-sampling for HPV testing as a crucial tool, allowing for early detection and intervention. However, an essential challenge in UCC prevention lies in understanding how HPV and other viral coinfections, including EBV, HBV, HCV, HHV, HIV, or their concurrent presence, may potentially contribute to UCC development. The molecular mechanisms implicated in the association between viral infections and cervical cancer development include: (1) interference of viral oncogenes with cellular regulatory proteins, resulting in uncontrolled cell proliferation and malignant transformation; (2) inactivation of tumor suppressor genes by viral proteins; (3) evasion of host immune responses by viruses; (4) induction of a persistent inflammatory response, contributing to a tumor-promoting microenvironment; (5) epigenetic modifications that lead to aberrant gene expression; (6) stimulation of angiogenesis by viruses; and (7) activation of telomerase by viral proteins, leading to cellular immortalization. Additionally, viral coinfections can also enhance oncogenic potential through synergistic interactions between viral oncoproteins, employ immune evasion strategies, contribute to chronic inflammation, modulate host cellular signaling pathways, and induce epigenetic alterations, ultimately leading to cervical carcinogenesis.ConclusionRecognizing the implications of viral oncogenes in UCC etiology and pathogenesis is vital for addressing the escalating burden of UCC. Developing innovative preventative and therapeutic interventions requires a thorough understanding of the intricate relationship between viral infections and UCC risk

TANet: Robust 3D Object Detection from Point Clouds with Triple Attention

In this paper, we focus on exploring the robustness of the 3D object detection in point clouds, which has been rarely discussed in existing approaches. We observe two crucial phenomena: 1) the detection accuracy of the hard objects, e.g., Pedestrians, is unsatisfactory, 2) when adding additional noise points, the performance of existing approaches decreases rapidly. To alleviate these problems, a novel TANet is introduced in this paper, which mainly contains a Triple Attention (TA) module, and a Coarse-to-Fine Regression (CFR) module. By considering the channel-wise, point-wise and voxel-wise attention jointly, the TA module enhances the crucial information of the target while suppresses the unstable cloud points. Besides, the novel stacked TA further exploits the multi-level feature attention. In addition, the CFR module boosts the accuracy of localization without excessive computation cost. Experimental results on the validation set of KITTI dataset demonstrate that, in the challenging noisy cases, i.e., adding additional random noisy points around each object,the presented approach goes far beyond state-of-the-art approaches. Furthermore, for the 3D object detection task of the KITTI benchmark, our approach ranks the first place on Pedestrian class, by using the point clouds as the only input. The running speed is around 29 frames per second.Comment: AAAI 2020(Oral

Giant landslide displacement analysis using a point cloud set conflict technique: a case in Xishancun landslide, Sichuan, China

Landslides, threatening millions of human lives, are geological phenomena on earth, occurred frequently. An increasing number of techniques are being used to monitor landslide deformation. Among th..

Knowledge structure and emerging trends of AR variants in prostate cancer: a bibliometric analysis based on CiteSpace and VOSviewer

Prostate cancer is a common malignancy in urology which often develops into castration-resistant prostate cancer (CRPC) after hormone therapy. Studies have shown that the mechanism of its occurrence is related to androgen receptor splice variants (AR splice variants). This work employs a bibliometric approach to explore the knowledge structure and emerging trends of AR variants in prostate cancer. The literature from 2000 to 2021 was obtained from Web of Science Core Collection (WoSCC), and the results were analyzed and visualized via CiteSpace and VOSviewer regarding publication number, citation number, country, region, institution, journal, author, keyword and reference. A total of 1503 publications were obtained. The number of publications and citations in this field is increasing. United States is the most prominent country, and University of Washington is the most influential institution in terms of this research field. European Urology is the most authoritative journal regarding this field. Gleave, Martin is the most productive author, and collaborated closely with others having centrality >0.1. The keywords abiraterone and AR-V7 have the strongest citation bursts in recent years and continuing to the end of 2021 which indicate the trend and further research directions. The most cited papers and co-cited references were related to the clinical significance of AR-V7 and its mechanism of promoting CRPC. This study used visualization software CiteSpace and VOSviewer to analyze the current status and the research trends of AR variants in prostate cancer (PCa) over the past 20 years. The findings can identify research hotspots and reveal future research directions