131 research outputs found
Cenozoic evolution of beta diversity and a Pleistocene emergence for modern mammal faunas in China
No full textRETRACTED ARTICLE: Anti-gastric cancer effect of Salidroside through elevating miR-99a expression
No full textWe, the authors, Editors and Publisher of the journal Artificial Cells, Nanomedicine and Biotechnology, have retracted the following article:Lin Yang, Yanan Yu, Qi Zhang, Xiaoyu Li, Cuiping Zhang, Tao Mao, Siliang Liu & Zibin Tian (2019) Anti-gastric cancer effect of Salidroside through elevating miR-99a expression, Artificial Cells, Nanomedicine, and Biotechnology, 47:1, 3500–3510, DOI: 10.1080/21691401.2019.1652626Following the publication of the article in 2019, the authors alerted the Publisher in 2023 that their institution, The Academic Committee of Qingdao University, had investigated the article and found that the data the article was based upon was fundamentally flawed.Upon further review, the Editor and Publisher identified additional concerns, and whilst the authors were able to supply some files, they were unable to provide the full data for review.As this directly impacts the validity of the reported results and conclusions, the Editor, Publisher, and authors have all agreed to retract the article to ensure the integrity of the scholarly record.We have been informed in our decision-making by our editorial policies and the COPE guidelines.The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as ‘Retracted’
TRPC absence induces pro-inflammatory macrophages and gut microbe disorder, sensitizing mice to colitis
No full textThe transient receptor potential canonical (TRPC) channels, encoded in seven non-allelic genes, are important contributors to calcium fluxes, are strongly associated with various diseases. Here we explored the consequences of ablating all seven TRPCs in mice focusing on colitis. We discovered that absence of all seven TRPC proteins in mice (TRPC HeptaKO mice) promotes the development of dextran sulfate sodium (DSS)-induced colitis. RNA-sequence analysis highlighted an extremely pro-inflammatory profile in colons of DSS-treated TRPC HeptaKO mice, with an amount of increased pro-inflammatory cytokines and chemokines. Flow cytometry analysis showed that the infiltration of Ly6Chi monocytes and neutrophils in colonic lamina propria was significantly increased in DSS-treated TRPC HeptaKO mice. Results also revealed that macrophages from TRPC HeptaKO mice exhibited M1 polarization and enhanced secretion of pro-inflammatory factors. In addition, the composition of gut microbiota was markedly disturbed in DSS-treated TRPC HeptaKO mice. However, upon antibiotic cocktail (Abx)-treatment, TRPC HeptaKO mice showed no significant differences with WT mice in disease severity. Collectively, these data suggest that ablation of all TRPCs promotes the development of DSS-induced colitis by inducing pro-inflammatory macrophages and gut microbiota disorder.Fil: Lin, Yanting. State Key Laboratory Of Natural Medicines; ChinaFil: Cui, Xinmeng. State Key Laboratory Of Natural Medicines; ChinaFil: Cao, Qiuhua. State Key Laboratory Of Natural Medicines; ChinaFil: Bi, Ran. State Key Laboratory Of Natural Medicines; ChinaFil: Liu, Yiming. State Key Laboratory Of Natural Medicines; ChinaFil: Jing, Dongquan. State Key Laboratory Of Natural Medicines; ChinaFil: Yue, Chongxiu. State Key Laboratory Of Natural Medicines; ChinaFil: Zhao, Qixiang. State Key Laboratory Of Natural Medicines; ChinaFil: Wang, Yue. State Key Laboratory Of Natural Medicines; ChinaFil: Liu, Siliang. State Key Laboratory Of Natural Medicines; ChinaFil: Su, Yali. State Key Laboratory Of Natural Medicines; ChinaFil: Formoso, Karina. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Susperreguy, Sebastian. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; ArgentinaFil: Birnbaumer, Lutz. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; Argentina. National Institute Of Environmental Health Sciences; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Freichel, Marc. Ruprecht Karls Universitat Heidelberg; AlemaniaFil: Yang, Yong. State Key Laboratory Of Natural Medicines; ChinaFil: You, Linjun. State Key Laboratory Of Natural Medicines; ChinaFil: Gao, Xinghua. State Key Laboratory Of Natural Medicines; Chin
MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression
No full textBounding box regression (BBR) has been widely used in object detection and
instance segmentation, which is an important step in object localization.
However, most of the existing loss functions for bounding box regression cannot
be optimized when the predicted box has the same aspect ratio as the
groundtruth box, but the width and height values are exactly different. In
order to tackle the issues mentioned above, we fully explore the geometric
features of horizontal rectangle and propose a novel bounding box similarity
comparison metric MPDIoU based on minimum point distance, which contains all of
the relevant factors considered in the existing loss functions, namely
overlapping or non-overlapping area, central points distance, and deviation of
width and height, while simplifying the calculation process. On this basis, we
propose a bounding box regression loss function based on MPDIoU, called LMPDIoU
. Experimental results show that the MPDIoU loss function is applied to
state-of-the-art instance segmentation (e.g., YOLACT) and object detection
(e.g., YOLOv7) model trained on PASCAL VOC, MS COCO, and IIIT5k outperforms
existing loss functions.Comment: 13 pages, 9 figures. arXiv admin note: text overlap with
arXiv:1902.09630 by other author
FPDIoU Loss: A Loss Function for Efficient Bounding Box Regression of Rotated Object Detection
No full textBounding box regression is one of the important steps of object detection.
However, rotation detectors often involve a more complicated loss based on
SkewIoU which is unfriendly to gradient-based training. Most of the existing
loss functions for rotated object detection calculate the difference between
two bounding boxes only focus on the deviation of area or each points distance
(e.g., , and
). The calculation process of some loss functions is
extremely complex (e.g. ). In order to improve the
efficiency and accuracy of bounding box regression for rotated object
detection, we proposed a novel metric for arbitrary shapes comparison based on
minimum points distance, which takes most of the factors from existing loss
functions for rotated object detection into account, i.e., the overlap or
nonoverlapping area, the central points distance and the rotation angle. We
also proposed a loss function called based on four
points distance for accurate bounding box regression focusing on faster and
high quality anchor boxes. In the experiments, loss has been applied
to state-of-the-art rotated object detection (e.g., RTMDET, H2RBox) models
training with three popular benchmarks of rotated object detection including
DOTA, DIOR, HRSC2016 and two benchmarks of arbitrary orientation scene text
detection including ICDAR 2017 RRC-MLT and ICDAR 2019 RRC-MLT, which achieves
better performance than existing loss functions.Comment: arXiv admin note: text overlap with arXiv:2307.07662, text overlap
with arXiv:1902.09630 by other author
Reconstructing non-stationary surface normal velocity of a planar structure using pressure-velocity probes
No full textFailure quantitative assessment approach to MOSFET power device by detecting parasitic parameters
No full textWith the emerging wide bandgap (WBG) semiconductor development, the increasing power density and efficiency of power electronic converters may cause more switching oscillation, electromagnetic interference noise, and additional power loss, further increasing the probability of device failure. Therefore, determining and quantifying the failure of a metal-oxide-semiconductor-field-effect transistor (MOSFET), which assembled using WBG semiconductor in some applications, is crucial to improving the reliability of a power converter. This study proposes a novel failure quantitative assessment approach based on MOSFET parasitic parameters. According to the two-port network theory, MOSFET is equivalent to some second-order RLC circuits composed of independent inductances, capacitances, and resistances in series. Then, the frequency-domain impedance associated with the physical failure of MOSFET is identified through frequency domain reflectometry. Accelerated aging and bond wires cut-off experiments are employed to obtain various quality states of the MOSFET device. Result shows that the MOSFET quality level and its number of bond wire lift-offs can be quantified effectively. Drain-to-source on-resistance (RDS(on)) that normally represents the MOSFET quality shows a positive linear function relationship on drain-to-source parasitic resistance (RD + RS) during the quality degradation proceeding. This finding matches with the correlation established between RDS (on) and RD + RS in theory. Meanwhile, source parasitic inductance (LS) increases with the severity of bond wires faults, and even the slight fault shows a high sensitivity. The proposed approach would be an effective quality screening technology for power semiconductor devices without power on treatment, which can effectively avoid the impact of junction temperature and test conditions (current and voltage) on test results, and does not need to design additional test circuits. The test frequency range we used in this approach was 10–300 MHz, which to some extent is suitable for providing an on-line quality monitoring technology for high-frequency WBG power devices manufacturing.Electronic Components, Technology and Material
Author Correction: Genomic basis for RNA alterations in cancer
No full textAuthor Correction: Genomic basis for RNA alterations in cance
Enhanced Key Management Scheme Based on Random Key Pre-distribution for Wireless Sensor Networks
No full text
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