4,325 research outputs found

    Bis(μ-4,4;6,6-bis­(biphenyl-2,2′-diyldi­oxy)-2,2-bis­{2-[5-(pyridin-4-yl)-1,3,4-oxadiazol-2-yl]phen­oxy}cyclo­triphosphazene)di-μ-chlorido-bis­[chlorido­copper(II)]

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    In the crystal of the title compound, [Cu2Cl4(C50H32N9O8P3)2], the binuclear mol­ecule is located across an inversion center. Each Cu2+ cation is coordinated by two pyridine N atoms from symmetry-related 4,4;6,6-bis­(biphenyl-2,2′-diyldi­oxy)-2,2-bis­{2-[5-(pyridin-4-yl)-1,3,4-oxadiazol-2-yl]phen­oxy}cyclo­triphosphazene (L) ligands, a pair of bridging Cl− anions and a terminal Cl− anion, forming a distorted CuCl3N2 square-pyramidal geometry. Weak intra­molecular C—H⋯O and inter­molecular C—H⋯N inter­actions occur in the crystal

    Retracted “Serum amyloid P down-regulates CCL-1 expression, and inhibits Ras/MAPK signaling and development of breast cancer”

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    This article previously published in Volume 17 Issue 16 of this journal in September 2017 has been retracted in line with the guidelines from the Committee on Publication Ethics (COPE,http://publicationethics.org/ resources/guidelines). Retraction: Ding S, Li H, Li X, Wang W, Du X, Dong G, Zhang P. Serum amyloid P down-regulates CCL-1 expression, and inhibits Ras/MAPK signaling and development of breast cancer. Trop J Pharm Res 2017; 16(9):2089-2095 doi: http://dx.doi.org/10.4314/tjpr.v16i9.7 To the editor: The figures in the paper were plagiarized partly from an earlier published article, Qi et al, P-selectinmediated tablet adhesion promoters tumor growth. Oncotarget 2015;30:6(9):6584–6596, and data from a master's thesis submitted by Bin Li under the supervision of Professor Lijing Wang and Professor Cuiling Qi. Sincerely, Cuiling Qi and Lijing Wang

    Serum amyloid P down-regulates CCL-1 expression, and inhibits Ras/MAPK signaling and development of breast cancer

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    Purpose: To investigate the role of serum amyloid component P (SAP) on Ras/MAPK pathway in the development of breast cancer (BC) via regulation of chemokine (CC motif) ligand 1 (CCL-1).Methods: Breast cancer (BC) and metastasis models were established using SAP-Tg transgenic mice and WT C57BL/6 mice. The effect of SAP on growth and metastasis was observed. Differentially expressed proteins in SAP-Tg and C57BL/6 serum were analyzed, and further determined by enzymelinked immunosorbent assay (ELISA) and quantitative polymerase chain reaction (qPCR). The effect of SAP on CCL1/Ras/MAPK signaling pathway was studied by immunoblotting.Results: Compared with WT control, SAP-Tg BC model showed a significant reduction in tumor volume and prolonged survival (p < 0.05). In the lung metastasis model, SAP-Tg mice showed a decreased number of nodules on the organ surface (p < 0.05). Protein microarray screening results showed that SAP inhibited CCL-1 expression (p < 0.05). CCL-1 mRNA level in SAP-Tg mice was significantly lower than WT control (p < 0.05). After stimulating RAW cells (mouse macrophage line) with SAP recombinant protein, ELISA results showed that CCL-1 secretion significantly decreased (p < 0.05). In both models, P38 and ERK1/2 activation in SAP-Tg mice were significantly lower than that in C57BL/6 mice.Conclusion: SAP inhibits the growth and metastasis of BC, possibly by reducing the secretion of CCL- 1 and inhibiting Ras/MAPK signaling pathway, thus suggesting a possible treatment strategy for breast cancer.Keywords: Serum amyloid component P (SAP), chemokine (CC motif) ligand 1 (CCL-1), Breast cancer, NF-κB, Ras/MAPK signaling pathwa

    Jiagu: Optimizing Serverless Computing Resource Utilization with Harmonized Efficiency and Practicability

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    Current serverless platforms struggle to optimize resource utilization due to their dynamic and fine-grained nature. Conventional techniques like overcommitment and autoscaling fall short, often sacrificing utilization for practicability or incurring performance trade-offs. Overcommitment requires predicting performance to prevent QoS violation, introducing trade-off between prediction accuracy and overheads. Autoscaling requires scaling instances in response to load fluctuations quickly to reduce resource wastage, but more frequent scaling also leads to more cold start overheads. This paper introduces Jiagu, which harmonizes efficiency with practicability through two novel techniques. First, pre-decision scheduling achieves accurate prediction while eliminating overheads by decoupling prediction and scheduling. Second, dual-staged scaling achieves frequent adjustment of instances with minimum overhead. We have implemented a prototype and evaluated it using real-world applications and traces from the public cloud platform. Our evaluation shows a 54.8% improvement in deployment density over commercial clouds (with Kubernetes) while maintaining QoS, and 81.0%--93.7% lower scheduling costs and a 57.4%--69.3% reduction in cold start latency compared to existing QoS-aware schedulers in research work.Comment: 17 pages, 17 figure

    Optimizing Generative AI Networking: A Dual Perspective with Multi-Agent Systems and Mixture of Experts

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    In the continued development of next-generation networking and artificial intelligence content generation (AIGC) services, the integration of multi-agent systems (MAS) and the mixture of experts (MoE) frameworks is becoming increasingly important. Motivated by this, this article studies the contrasting and converging of MAS and MoE in AIGC-enabled networking. First, we discuss the architectural designs, operational procedures, and inherent advantages of using MAS and MoE in generative AI to explore its functionality and applications fully. Next, we review the applications of MAS and MoE frameworks in content generation and resource allocation, emphasizing their impact on networking operations. Subsequently, we propose a novel multi-agent-enabled MoE-proximal policy optimization (MoE-PPO) framework for 3D object generation and data transfer scenarios. The framework uses MAS for dynamic task coordination of each network service provider agent and MoE for expert-driven execution of respective tasks, thereby improving overall system efficiency and adaptability. The simulation results demonstrate the effectiveness of our proposed framework and significantly improve the performance indicators under different network conditions. Finally, we outline potential future research directions.Comment: 9 pages, 4 figure

    Measurement of the e+eπ+π\mathrm e^+\mathrm e^-\rightarrow\mathrm\pi^+\mathrm\pi^- Cross Section between 600 and 900 MeV Using Initial State Radiation

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    We extract the e+eπ+πe^+e^-\rightarrow \pi^+\pi^- cross section in the energy range between 600 and 900 MeV, exploiting the method of initial state radiation. A data set with an integrated luminosity of 2.93 fb1^{-1} taken at a center-of-mass energy of 3.773 GeV with the BESIII detector at the BEPCII collider is used. The cross section is measured with a systematic uncertainty of 0.9%. We extract the pion form factor Fπ2|F_\pi|^2 as well as the contribution of the measured cross section to the leading order hadronic vacuum polarization contribution to (g2)μ(g-2)_\mu. We find this value to be aμππ,LO(600900  MeV)=(368.2±2.5stat±3.3sys)1010a_\mu^{\pi\pi,\rm LO}(600-900\;\rm MeV) = (368.2 \pm 2.5_{\rm stat} \pm 3.3_{\rm sys})\cdot 10^{-10}.Comment: 14 pages, 7 figures, accepted by PL

    Measurements of J/ψJ/\psi and ψ(2S)\psi(2S) decays into ΛΛˉπ0\Lambda \bar{\Lambda}\pi^0 and ΛΛˉη\Lambda \bar{\Lambda}\eta

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    Using 58 million J/ψJ/\psi and 14 million ψ(2S)\psi(2S) events collected by the BESII detector at the BEPC, branching fractions or upper limits for the decays J/ψJ/\psi and ψ(2S)ΛΛˉπ0\psi(2S) \to \Lambda \bar{\Lambda}\pi^0 and ΛΛˉη\Lambda \bar{\Lambda}\eta are measured. For the isospin violating decays, the upper limits are determined to be B(J/ψΛΛˉπ0)<6.4×105{\cal B}(J/\psi \to \Lambda \bar{\Lambda}\pi^0)<6.4\times 10^{-5} and B(ψ(2S)ΛΛˉπ0)<4.9×105{\cal B}(\psi(2S) \to \Lambda \bar{\Lambda}\pi^0)<4.9\times 10^{-5} at the 90% confidence level. The isospin conserving process J/ψΛΛˉηJ/\psi \to \Lambda \bar{\Lambda}\eta is observed for the first time, and its branching fraction is measured to be B(J/ψΛΛˉη)=(2.62±0.60±0.44)×104{\cal B}(J/\psi \to \Lambda \bar{\Lambda}\eta)=(2.62\pm 0.60\pm 0.44)\times 10^{-4}, where the first error is statistical and the second one is systematic. No ΛΛˉη\Lambda \bar{\Lambda}\eta signal is observed in ψ(2S)\psi(2S) decays, and B(ψ(2S)ΛΛˉη)<1.2×104{\cal B}(\psi(2S) \to \Lambda \bar{\Lambda}\eta)<1.2\times 10^{-4} is set at the 90% confidence level. Branching fractions of J/ψJ/\psi decays into Σ+πbarΛ\Sigma^+ \pi^- bar{\Lambda} and Σˉπ+Λ\bar{\Sigma}^- \pi^+ \Lambda are also reported, and the sum of these branching fractions is determined to be B(J/ψΣ+πΛˉ+c.c.)=(1.52±0.08±0.16)×103{\cal B}(J/\psi \to \Sigma^+\pi^- \bar{\Lambda} + c.c.)=(1.52\pm 0.08\pm 0.16)\times 10^{-3}.Comment: 7 pages, 10 figures. Phys.Rev.D comments considere
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