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NONBINARY INCIDENCE CODES OF (n, n − 1, j)-POSET
Yan, Longhe The Kangwon-Kyungki Mathematical Society 2009 한국수학논문집 Vol.17 No.2
Let P be a (n, n − 1, j)-poset, which is a partially ordered set of cardinality n with n − 1 maximal elements and $j(1{\leq}j{\leq}n-1)$ minimal elements, and $P^*$ the dual poset of P. In this paper, we obtain two types of incidence codes of nonempty proper subset S of P and $P^*$, respectively, by using Bogart's method [1] (see Theorem 3.3).
Fan Hu,Longhe Yang,Zhaokai Wang,Jinpei Wang 한국유전학회 2021 Genes & Genomics Vol.43 No.7
Background 2,4-Dinitrophenol (2,4-DNP) is an important organic environmental pollutant that is highly toxic to all forms of living organisms. A gram-positive strain (designated XM24D) was isolated from 2,4-DNP-contaminated soil by an enrichment technique. Objective The study was designed to analyze the ability of XM24D to degrade 2,4-DNP and its analogs and to reveal the degradation pathways of these aromatic compounds. Methods The degradation ability of XM24D was tested by a growth experiment. 2,4-DNP and its analog degradation pathways were predicted by genome and comparative transcriptome sequencing. Results Growth profles showed that XM24D was able to utilize 2,4-DNP as the sole source of carbon, nitrogen and energy. Analogs of 2,4-DNP, including 4-nitrophenol (PNP) and 2-chloro-4-nitrophenol (2C4NP), can also be degraded by XM24D. Genome analysis showed that the XM24D genome contains two chromosomes with a combined size of 9.08 Mb and an average GC content of 67.07%. Average nucleotide identity analysis indicated that Rhodococcus imtechensis RKJ300 is the most closely related strain to XM24D. Comparative transcriptome analysis revealed that the 2,4-DNP/PNP/2C4NP degradation pathway in XM24D is highly similar in sequence and organization to the 2,4-DNP degradation pathway in Rhodococcus opacus HL PM-1, the PNP degradation pathway in Rhodococcus opacus SAO101 and the 2C4NP degradation pathway in Rhodococcus imtechensis RKJ300. These results suggested that 2,4-DNP/PNP/2C4NP was degraded via the 2,4-dinitrocyclohexanone/4-nitrocatechol/hydroxyquinol pathway in XM24D. Conclusions Genomic and transcriptomic information on XM24D provides a valuable reference for further investigating the evolutionary characteristics of nitrophenol degradation pathways in microorganisms.
( Yuantian Xia ),( Shuhan Lu ),( Longhe Wang ),( Lin Li ) 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.8
The anchor-free object detector CenterNet regards the object as a center point and predicts it based on the Gaussian circle region. For each object's center point, CenterNet directly regresses the width and height of the objects and finally gets the boundary range of the objects. However, the critical range of the object's center point can not be accurately limited by using the Gaussian circle region to constrain the prediction region, resulting in many low-quality centers' predicted values. In addition, because of the large difference between the width and height of different objects, directly regressing the width and height will make the model difficult to converge and lose the intrinsic relationship between them, thereby reducing the stability and consistency of accuracy. For these problems, we proposed a center point prediction method based on the Gaussian elliptic region and a size component regression method based on the small solution space. First, we constructed a Gaussian ellipse region that can accurately predict the object's center point. Second, we recode the width and height of the objects, which significantly reduces the regression solution space and improves the convergence speed of the model. Finally, we jointly decode the predicted components, enhancing the internal relationship between the size components and improving the accuracy consistency. Experiments show that when using CenterNet as the improved baseline and Hourglass-104 as the backbone, on the MS COCO dataset, our improved model achieved 44.7%, which is 2.6% higher than the baseline.
Peng Song,Yang Hai,Xin Wang,Longhe Zhao,Baoqiang Chen,Peng Cui,Qin-Jian Xie,Lan Yu,Yang Li,Zhengrong Wu,Hong Yu Li 대한약학회 2018 Archives of Pharmacal Research Vol.41 No.4
Realgar (As4S4), as an arsenic sulfide mineraldrug, has a good therapeutic reputation for anticancer inTraditional Chinese Medicine, and has recently beenreported to inhibit angiogenesis in tumor growth. However,considering the poor solubility and low bioavailability ofrealgar, large dose of realgar and long period of treatmentare necessary for achieving the effective blood medicineconcentration. In present study, we resolved the crucialproblem of poor solubility of realgar by using intrinsicbiotransformation in microorganism, and investigatedunderlying mechanisms of realgar transforming solution(RTS) for antiangiogenesis. Our results demonstrated thatRTS had a strong activity to inhibit HUVECs proliferation,migration, invasion, and tube formation. Moreover, RTSinhibited VEGF/bFGF-induced phosphorylation ofVEGFR2 and the downstream protein kinases includingERK, FAK, and Src. In vivo zebrafish and chickenchorioallantoic membrane model experiments showed thatRTS remarkably blocked angiogenesis. Finally, comparedwith the control, administration of 2.50 mg/kg RTSreached more than 50% inhibition against H22 tumorallografts in KM mice, but caused few toxic effects in thehost. The antiangiogenic effect was indicated by CD31immunohistochemical staining and alginate-encapsulatedtumor cell assay. In summary, our findings suggest thatRTS inhibits angiogenesis and may be a potential drugcandidate in anticancer therapy.
Yang Hai,Xin Wang,Peng Song,Jian-yin Li,Longhe Zhao,Fei Xie,Xiang-min Tan,Qin-Jian Xie,Lan Yu,Yang Li,Zhengrong Wu,Hong Yu Li 대한약학회 2019 Archives of Pharmacal Research Vol.42 No.8
PML/retinoic acid receptor alpha (RARa), as ahallmark of acute promyeloid leukemia (APL), is directlyrelated to the outcome of clinical APL remedy. It isreported that arsenicals can effectively degrade PML/RARa, such as arsenic trioxide and realgar. However, thehigh toxicity or insolubility have hampered their clinicalapplications. Realgar transforming solution (RTS) wasproduced from realgar by bioleaching process in our lab. Previous studies demonstrated that RTS had a significantanti-cancer ability on chronic myeloid leukemia throughoncoprotein degradation. The capacity of RTS on treatingAPL is what is focused on in this study. The results showedthat RTS had a noticeable sensitivity in NB4 cell, and RTSremarkably down-regulated PML/RARa expression andinduced cell differentiation. Further, RTS could accumulatePML/RARa into the nuclear bodies and then executedegradation, which could be reversed by proteasomeinhibitor MG132. The results also exhibited that thereduction of RTS-induced PML/RARa expression accompaniedby the elevation of ubiquitin and SUMO-1 proteinexpression. Finally, PML and SUMO-1 had been demonstratedto be co-localized after RTS treatment byimmunofluorescence co-localization assay and immunoprecipitationassay. In conclusion, these results suggestedthat RTS-induced cell differentiation may attribute to thePML/RARa degradation partially through the ubiquitin–proteasome pathway.
CenterNet Based on Diagonal Half-length and Center Angle Regression for Object Detection
Yuantian Xia,XuPeng Kou,Weie Jia,Shuhan Lu,Longhe Wang,Lin Li 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.7
CenterNet, a novel object detection algorithm without anchor based on key points, regards the object as a single center point for prediction and directly regresses the object’s height and width. However, because the objects have different sizes, directly regressing their height and width will make the model difficult to converge and lose the intrinsic relationship between object’s width and height, thereby reducing the stability of the model and the consistency of prediction accuracy. For this problem, we proposed an algorithm based on the regression of the diagonal half-length and the center angle, which significantly compresses the solution space of the regression components and enhances the intrinsic relationship between the decoded components. First, encode the object’s width and height into the diagonal half-length and the center angle, where the center angle is the angle between the diagonal and the vertical centreline. Secondly, the predicted diagonal half-length and center angle are decoded into two length components. Finally, the position of the object bounding box can be accurately obtained by combining the corresponding center point coordinates. Experiments show that, when using CenterNet as the improved baseline and resnet50 as the Backbone, the improved model achieved 81.6% and 79.7% mAP on the VOC 2007 and 2012 test sets, respectively. When using Hourglass-104 as the Backbone, the improved model achieved 43.3% mAP on the COCO 2017 test sets. Compared with CenterNet, the improved model has a faster convergence rate and significantly improved the stability and prediction accuracy.